diff --git a/README.md b/README.md index e769b6850..e7948b91e 100644 --- a/README.md +++ b/README.md @@ -70,6 +70,8 @@ keywords = {Software, LiDAR simulation, Point cloud, Data generation, Voxel, Veg | [![Example 9](img/example9_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/9-tls_livox_demo.ipynb) | [![Example 10](img/example10_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/10-uls_toyblocks_livox.ipynb) | | [![Example 11](img/example11_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/11-als_toyblock_multi_scanner_livox.ipynb) | [![Example 12](img/example12_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/12-multi_scanner_puck.ipynb) | | [![Example 13](img/example13_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/13-interpolated_trajectory.ipynb) | [![Example 14](img/example14_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/14-urban_mls_dynamic.ipynb) | +| [![Example 15](img/example15_thumbnail.png)](https://nbviewer.org/github/3dgeo-heidelberg/helios/blob/dev/example_notebooks/15-tls_tree_dynamic.ipynb) | | + diff --git a/data/sceneparts/tree1/leafwood.mtl b/data/sceneparts/tree1/leafwood.mtl new file mode 100644 index 000000000..2dfb46452 --- /dev/null +++ b/data/sceneparts/tree1/leafwood.mtl @@ -0,0 +1,15 @@ +# Blender3D MTL File: +# Material Count: 2 +newmtl Leaves +Ka 0.05 0.4 0.05 +Kd 0.05 0.4 0.05 +Ks 0.5 0.5 0.5 +helios_classification 1 + + +newmtl TrunkAndBranches +Ka 0.2 0.2 0.05 +Kd 0.2 0.2 0.05 +Ks 0 0 0 +helios_classification 0 + diff --git a/data/sceneparts/tree1/leaves.001.obj b/data/sceneparts/tree1/leaves.001.obj new file mode 100644 index 000000000..340a6963b --- /dev/null +++ b/data/sceneparts/tree1/leaves.001.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.001 +v 0.028548 0.033077 0.823778 +v 0.040254 -0.018814 0.825170 +v 0.125716 -0.049797 0.822975 +v 0.081620 0.029719 0.821852 +v 0.114010 0.002094 0.821584 +v 0.072644 -0.046439 0.824902 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0385 0.0355 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.002.obj b/data/sceneparts/tree1/leaves.002.obj new file mode 100644 index 000000000..95e982279 --- /dev/null +++ b/data/sceneparts/tree1/leaves.002.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.002 +v 0.046178 0.049640 0.826963 +v 0.055748 0.090417 0.871054 +v 0.070406 0.191443 0.851610 +v 0.052759 0.103399 0.799303 +v 0.060835 0.150666 0.807519 +v 0.063824 0.137684 0.879270 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9853 0.1563 0.0693 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.003.obj b/data/sceneparts/tree1/leaves.003.obj new file mode 100644 index 000000000..65b96a33d --- /dev/null +++ b/data/sceneparts/tree1/leaves.003.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.003 +v 0.064233 0.069197 0.828165 +v 0.115027 0.071080 0.814305 +v 0.177923 0.109755 0.865814 +v 0.089233 0.094353 0.867125 +v 0.127129 0.107872 0.879675 +v 0.152924 0.084600 0.826855 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1584 -0.8727 0.4619 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.004.obj b/data/sceneparts/tree1/leaves.004.obj new file mode 100644 index 000000000..43da0f61a --- /dev/null +++ b/data/sceneparts/tree1/leaves.004.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.004 +v 0.078188 0.087962 0.826063 +v 0.071361 0.128048 0.799998 +v 0.128984 0.158461 0.749336 +v 0.118879 0.094875 0.800977 +v 0.135811 0.118375 0.775401 +v 0.088293 0.151548 0.774423 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3686 -0.5500 -0.7494 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.005.obj b/data/sceneparts/tree1/leaves.005.obj new file mode 100644 index 000000000..fa31bfb8a --- /dev/null +++ b/data/sceneparts/tree1/leaves.005.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.005 +v 0.091346 0.105986 0.823940 +v 0.124014 0.125275 0.861704 +v 0.124131 0.213341 0.886427 +v 0.080535 0.158267 0.827833 +v 0.091463 0.194052 0.848662 +v 0.134942 0.161060 0.882533 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6905 -0.1947 0.6967 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.006.obj b/data/sceneparts/tree1/leaves.006.obj new file mode 100644 index 000000000..994e2f87a --- /dev/null +++ b/data/sceneparts/tree1/leaves.006.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.006 +v 0.108295 0.124181 0.825647 +v 0.146010 0.137257 0.800049 +v 0.220434 0.142656 0.831642 +v 0.145339 0.123422 0.855242 +v 0.182719 0.129580 0.857241 +v 0.183390 0.143415 0.802048 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1703 -0.9563 -0.2376 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.007.obj b/data/sceneparts/tree1/leaves.007.obj new file mode 100644 index 000000000..ee9d2df90 --- /dev/null +++ b/data/sceneparts/tree1/leaves.007.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.007 +v 0.127465 0.138307 0.833223 +v 0.125204 0.173601 0.859672 +v 0.160233 0.238542 0.843847 +v 0.151572 0.169837 0.813857 +v 0.162494 0.203248 0.817398 +v 0.136127 0.207012 0.863213 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8105 0.3171 -0.4925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.008.obj b/data/sceneparts/tree1/leaves.008.obj new file mode 100644 index 000000000..dbbcdd22a --- /dev/null +++ b/data/sceneparts/tree1/leaves.008.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.008 +v 0.145349 0.147720 0.843641 +v 0.171113 0.129340 0.870995 +v 0.193870 0.162008 0.930364 +v 0.151932 0.175625 0.874102 +v 0.168105 0.180387 0.903009 +v 0.187287 0.134103 0.899903 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7877 -0.3600 0.5000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.009.obj b/data/sceneparts/tree1/leaves.009.obj new file mode 100644 index 000000000..c196c1521 --- /dev/null +++ b/data/sceneparts/tree1/leaves.009.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.009 +v 0.163624 0.158733 0.853154 +v 0.123984 0.140360 0.853154 +v 0.113972 0.066375 0.853154 +v 0.170163 0.115534 0.853154 +v 0.153612 0.084748 0.853154 +v 0.107433 0.109574 0.853154 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.010.obj b/data/sceneparts/tree1/leaves.010.obj new file mode 100644 index 000000000..2715359d8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.010.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.010 +v 0.182706 0.175949 0.858186 +v 0.196409 0.193314 0.890292 +v 0.198003 0.259543 0.897349 +v 0.179201 0.214314 0.852189 +v 0.184300 0.242178 0.865243 +v 0.201508 0.221179 0.903346 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9154 -0.0208 0.4020 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.011.obj b/data/sceneparts/tree1/leaves.011.obj new file mode 100644 index 000000000..841c1fdff --- /dev/null +++ b/data/sceneparts/tree1/leaves.011.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.011 +v 0.197502 0.193648 0.858400 +v 0.223074 0.187896 0.839771 +v 0.251324 0.228045 0.815087 +v 0.207812 0.222332 0.848154 +v 0.225752 0.233797 0.833716 +v 0.241014 0.199362 0.825333 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5977 0.0705 0.7986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.012.obj b/data/sceneparts/tree1/leaves.012.obj new file mode 100644 index 000000000..310da878e --- /dev/null +++ b/data/sceneparts/tree1/leaves.012.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.012 +v 0.210531 0.211878 0.856354 +v 0.189655 0.233488 0.853459 +v 0.150067 0.238416 0.886158 +v 0.191099 0.207961 0.879118 +v 0.170944 0.216807 0.889053 +v 0.169500 0.242334 0.863394 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5494 0.6076 0.5736 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.013.obj b/data/sceneparts/tree1/leaves.013.obj new file mode 100644 index 000000000..c8f74a8ae --- /dev/null +++ b/data/sceneparts/tree1/leaves.013.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.013 +v 0.225666 0.232196 0.854703 +v 0.256731 0.239984 0.853334 +v 0.276888 0.274363 0.815754 +v 0.228749 0.252519 0.830105 +v 0.245823 0.266575 0.817122 +v 0.273805 0.254040 0.840351 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1660 0.7703 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.014.obj b/data/sceneparts/tree1/leaves.014.obj new file mode 100644 index 000000000..c50cf2de3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.014.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.014 +v -0.047505 0.045879 0.834679 +v -0.083469 0.074379 0.794471 +v -0.100918 0.177113 0.797727 +v -0.047150 0.104868 0.850252 +v -0.064954 0.148613 0.837935 +v -0.101274 0.118124 0.782153 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7879 0.1527 -0.5965 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.015.obj b/data/sceneparts/tree1/leaves.015.obj new file mode 100644 index 000000000..51fd2abbf --- /dev/null +++ b/data/sceneparts/tree1/leaves.015.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.015 +v -0.103283 0.072638 0.842150 +v -0.156844 0.074310 0.821214 +v -0.216524 -0.003808 0.822203 +v -0.125215 0.020001 0.849788 +v -0.162962 -0.005481 0.843139 +v -0.194591 0.048829 0.814565 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3428 0.2733 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.016.obj b/data/sceneparts/tree1/leaves.016.obj new file mode 100644 index 000000000..b3593e854 --- /dev/null +++ b/data/sceneparts/tree1/leaves.016.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.016 +v -0.159623 0.059015 0.847690 +v -0.199977 0.085969 0.846315 +v -0.252318 0.091326 0.910455 +v -0.181066 0.053601 0.890908 +v -0.211964 0.064371 0.911830 +v -0.230875 0.096740 0.867237 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5116 0.7838 0.3520 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.017.obj b/data/sceneparts/tree1/leaves.017.obj new file mode 100644 index 000000000..080bf43ef --- /dev/null +++ b/data/sceneparts/tree1/leaves.017.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.017 +v -0.218730 0.051876 0.868755 +v -0.262571 0.026951 0.870799 +v -0.338735 0.067217 0.874836 +v -0.254892 0.087029 0.870764 +v -0.294894 0.092143 0.872791 +v -0.302572 0.032065 0.872826 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0499 0.0058 -0.9987 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.018.obj b/data/sceneparts/tree1/leaves.018.obj new file mode 100644 index 000000000..da724a022 --- /dev/null +++ b/data/sceneparts/tree1/leaves.018.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.018 +v -0.265548 0.060197 0.902391 +v -0.277965 0.078789 0.939348 +v -0.320503 0.044313 0.988842 +v -0.289767 0.031016 0.923068 +v -0.308086 0.025722 0.951885 +v -0.296284 0.073494 0.968165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8168 -0.3564 0.4537 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.019.obj b/data/sceneparts/tree1/leaves.019.obj new file mode 100644 index 000000000..2285eddac --- /dev/null +++ b/data/sceneparts/tree1/leaves.019.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.019 +v -0.325802 0.052934 0.910806 +v -0.336505 0.086928 0.906068 +v -0.395592 0.102377 0.899392 +v -0.361626 0.051902 0.907935 +v -0.384889 0.068383 0.904130 +v -0.359768 0.103410 0.902263 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0826 0.1120 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.020.obj b/data/sceneparts/tree1/leaves.020.obj new file mode 100644 index 000000000..f4f8f3077 --- /dev/null +++ b/data/sceneparts/tree1/leaves.020.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.020 +v -0.380678 0.035299 0.896836 +v -0.407822 0.012692 0.907676 +v -0.396745 -0.042038 0.937151 +v -0.364246 0.006349 0.912873 +v -0.369601 -0.019430 0.926312 +v -0.413177 -0.013087 0.921114 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0372 0.4680 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.021.obj b/data/sceneparts/tree1/leaves.021.obj new file mode 100644 index 000000000..8125690ef --- /dev/null +++ b/data/sceneparts/tree1/leaves.021.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.021 +v -0.391379 0.032277 0.894941 +v -0.415999 0.043890 0.902846 +v -0.458489 0.021338 0.897157 +v -0.411498 0.013372 0.888513 +v -0.433868 0.009725 0.889252 +v -0.438369 0.040244 0.903585 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0970 -0.4113 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.022.obj b/data/sceneparts/tree1/leaves.022.obj new file mode 100644 index 000000000..3781d282f --- /dev/null +++ b/data/sceneparts/tree1/leaves.022.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.022 +v -0.094716 0.081493 0.837498 +v -0.131141 0.093865 0.801132 +v -0.120782 0.162603 0.743249 +v -0.075669 0.123194 0.811031 +v -0.084358 0.150231 0.779615 +v -0.139829 0.120902 0.769716 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4420 -0.6158 -0.6522 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.023.obj b/data/sceneparts/tree1/leaves.023.obj new file mode 100644 index 000000000..f2f3f0a46 --- /dev/null +++ b/data/sceneparts/tree1/leaves.023.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.023 +v -0.120177 0.131434 0.822208 +v -0.129025 0.177448 0.851097 +v -0.211501 0.222672 0.850303 +v -0.172211 0.146245 0.812049 +v -0.202653 0.176658 0.821414 +v -0.159466 0.207860 0.860462 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3078 -0.5477 0.7780 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.024.obj b/data/sceneparts/tree1/leaves.024.obj new file mode 100644 index 000000000..6487c1a41 --- /dev/null +++ b/data/sceneparts/tree1/leaves.024.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.024 +v -0.139355 0.191540 0.811635 +v -0.100589 0.205585 0.829419 +v -0.071466 0.275156 0.815302 +v -0.132861 0.233240 0.796296 +v -0.110232 0.261111 0.797518 +v -0.077959 0.233456 0.830641 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4944 0.3669 0.7880 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.025.obj b/data/sceneparts/tree1/leaves.025.obj new file mode 100644 index 000000000..460892e02 --- /dev/null +++ b/data/sceneparts/tree1/leaves.025.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.025 +v -0.138285 0.250647 0.815688 +v -0.169842 0.280044 0.824710 +v -0.181742 0.341062 0.782235 +v -0.135700 0.281526 0.784365 +v -0.150185 0.311665 0.773213 +v -0.184327 0.310182 0.813558 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6435 -0.5179 -0.5636 +vn -0.6435 -0.5178 -0.5636 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.026.obj b/data/sceneparts/tree1/leaves.026.obj new file mode 100644 index 000000000..cc14c4203 --- /dev/null +++ b/data/sceneparts/tree1/leaves.026.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.026 +v -0.141855 0.311502 0.814548 +v -0.122584 0.345497 0.823608 +v -0.153260 0.398003 0.855243 +v -0.168730 0.335175 0.832618 +v -0.172531 0.364008 0.846183 +v -0.126385 0.374331 0.837173 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2588 -0.3831 0.8867 +vn 0.2588 -0.3830 0.8867 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.027.obj b/data/sceneparts/tree1/leaves.027.obj new file mode 100644 index 000000000..c36316f66 --- /dev/null +++ b/data/sceneparts/tree1/leaves.027.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.027 +v -0.164026 0.363243 0.796701 +v -0.146942 0.338392 0.818450 +v -0.096667 0.353206 0.854366 +v -0.136205 0.381403 0.813395 +v -0.113752 0.378057 0.832617 +v -0.124489 0.335046 0.837672 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6102 0.2410 0.7547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.028.obj b/data/sceneparts/tree1/leaves.028.obj new file mode 100644 index 000000000..7f92b3cfe --- /dev/null +++ b/data/sceneparts/tree1/leaves.028.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.028 +v -0.192310 0.412317 0.773147 +v -0.211597 0.433414 0.787655 +v -0.258348 0.450962 0.765145 +v -0.217049 0.416984 0.753304 +v -0.239062 0.429866 0.750637 +v -0.233610 0.446295 0.784988 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4930 -0.7518 0.4378 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.029.obj b/data/sceneparts/tree1/leaves.029.obj new file mode 100644 index 000000000..d92668efd --- /dev/null +++ b/data/sceneparts/tree1/leaves.029.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.029 +v -0.037553 -0.019777 0.856207 +v -0.084539 -0.001419 0.885322 +v -0.158774 -0.062453 0.911202 +v -0.071381 -0.066586 0.863755 +v -0.111788 -0.080811 0.882087 +v -0.124946 -0.015644 0.903654 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4610 -0.1935 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.030.obj b/data/sceneparts/tree1/leaves.030.obj new file mode 100644 index 000000000..b986df859 --- /dev/null +++ b/data/sceneparts/tree1/leaves.030.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.030 +v -0.068748 -0.043812 0.861512 +v -0.016658 -0.070176 0.855122 +v 0.070138 -0.019925 0.858750 +v -0.028248 -0.001525 0.866060 +v 0.018048 0.006438 0.865140 +v 0.029637 -0.062213 0.854202 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0454 -0.1497 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.031.obj b/data/sceneparts/tree1/leaves.031.obj new file mode 100644 index 000000000..671eeaf50 --- /dev/null +++ b/data/sceneparts/tree1/leaves.031.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.031 +v -0.101802 -0.073601 0.867746 +v -0.132491 -0.084602 0.909610 +v -0.137701 -0.167544 0.945867 +v -0.095045 -0.125228 0.877963 +v -0.107012 -0.156543 0.904003 +v -0.144458 -0.115916 0.935650 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7581 0.2207 0.6137 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.032.obj b/data/sceneparts/tree1/leaves.032.obj new file mode 100644 index 000000000..1d96227f0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.032.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.032 +v -0.127477 -0.105113 0.871089 +v -0.161391 -0.119768 0.838480 +v -0.242355 -0.130481 0.858989 +v -0.170149 -0.107370 0.895631 +v -0.208441 -0.115826 0.891598 +v -0.199684 -0.128224 0.834446 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1859 0.9540 -0.2354 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.033.obj b/data/sceneparts/tree1/leaves.033.obj new file mode 100644 index 000000000..ae7100b75 --- /dev/null +++ b/data/sceneparts/tree1/leaves.033.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.033 +v -0.152273 -0.134274 0.876999 +v -0.191547 -0.158914 0.877422 +v -0.192198 -0.238097 0.880060 +v -0.139616 -0.178849 0.878617 +v -0.152924 -0.213457 0.879637 +v -0.204855 -0.193522 0.878442 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0102 0.0334 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.034.obj b/data/sceneparts/tree1/leaves.034.obj new file mode 100644 index 000000000..b0db8dacd --- /dev/null +++ b/data/sceneparts/tree1/leaves.034.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.034 +v -0.185814 -0.156669 0.894296 +v -0.221480 -0.134715 0.914628 +v -0.244916 -0.150779 0.988936 +v -0.189549 -0.174696 0.937057 +v -0.209250 -0.172733 0.968604 +v -0.241181 -0.132752 0.946175 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6273 0.6965 0.3484 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.035.obj b/data/sceneparts/tree1/leaves.035.obj new file mode 100644 index 000000000..b0ac13bf5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.035.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.035 +v -0.216597 -0.163046 0.920903 +v -0.190225 -0.200518 0.923983 +v -0.113698 -0.197042 0.941017 +v -0.174370 -0.148238 0.931232 +v -0.140070 -0.159570 0.937936 +v -0.155925 -0.211850 0.930688 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2137 -0.0703 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.036.obj b/data/sceneparts/tree1/leaves.036.obj new file mode 100644 index 000000000..9d2800086 --- /dev/null +++ b/data/sceneparts/tree1/leaves.036.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.036 +v -0.249187 -0.173094 0.941091 +v -0.284670 -0.175331 0.933651 +v -0.309573 -0.223734 0.903821 +v -0.253961 -0.204616 0.923685 +v -0.274089 -0.221496 0.911262 +v -0.304799 -0.192211 0.921227 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1544 -0.4596 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.037.obj b/data/sceneparts/tree1/leaves.037.obj new file mode 100644 index 000000000..836754b3b --- /dev/null +++ b/data/sceneparts/tree1/leaves.037.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.037 +v -0.282268 -0.199308 0.940714 +v -0.317030 -0.193416 0.924713 +v -0.372870 -0.217160 0.951088 +v -0.307907 -0.217101 0.963631 +v -0.338108 -0.223052 0.967089 +v -0.347231 -0.199367 0.928171 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1040 0.8386 0.5347 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.038.obj b/data/sceneparts/tree1/leaves.038.obj new file mode 100644 index 000000000..128d67426 --- /dev/null +++ b/data/sceneparts/tree1/leaves.038.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.038 +v -0.303997 -0.227417 0.924288 +v -0.283427 -0.250156 0.928596 +v -0.231179 -0.242031 0.926737 +v -0.276021 -0.214422 0.921613 +v -0.251749 -0.219293 0.922429 +v -0.259155 -0.255027 0.929412 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0053 0.1907 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.039.obj b/data/sceneparts/tree1/leaves.039.obj new file mode 100644 index 000000000..4ee87adbb --- /dev/null +++ b/data/sceneparts/tree1/leaves.039.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.039 +v -0.327655 -0.258939 0.905029 +v -0.360636 -0.265211 0.905847 +v -0.382768 -0.310717 0.932912 +v -0.331416 -0.287185 0.922799 +v -0.349787 -0.304444 0.932093 +v -0.379007 -0.282471 0.915142 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0816 0.5385 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.040.obj b/data/sceneparts/tree1/leaves.040.obj new file mode 100644 index 000000000..507ca81b5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.040.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.040 +v -0.286128 -0.175465 0.952970 +v -0.315266 -0.179034 0.934071 +v -0.355626 -0.135425 0.928724 +v -0.303322 -0.145203 0.955705 +v -0.326488 -0.131856 0.947623 +v -0.338432 -0.165687 0.925989 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4804 0.3458 -0.8060 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.041.obj b/data/sceneparts/tree1/leaves.041.obj new file mode 100644 index 000000000..b02057d98 --- /dev/null +++ b/data/sceneparts/tree1/leaves.041.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.041 +v -0.323922 -0.170695 0.966375 +v -0.336507 -0.173911 0.994963 +v -0.381545 -0.201728 1.003737 +v -0.349751 -0.188168 0.962695 +v -0.368959 -0.198512 0.975149 +v -0.355715 -0.184255 1.007417 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5402 -0.8290 0.1446 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.042.obj b/data/sceneparts/tree1/leaves.042.obj new file mode 100644 index 000000000..06273e276 --- /dev/null +++ b/data/sceneparts/tree1/leaves.042.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.042 +v -0.338726 -0.168826 0.971625 +v -0.360210 -0.151231 0.962676 +v -0.386542 -0.122880 0.994119 +v -0.349119 -0.155791 0.995570 +v -0.365058 -0.140476 1.003068 +v -0.376149 -0.135915 0.970174 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6583 0.7433 -0.1189 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.043.obj b/data/sceneparts/tree1/leaves.043.obj new file mode 100644 index 000000000..e0114d159 --- /dev/null +++ b/data/sceneparts/tree1/leaves.043.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.043 +v 0.035554 0.025172 0.889024 +v 0.043387 0.082586 0.895100 +v 0.104955 0.134754 0.836787 +v 0.073988 0.040813 0.848123 +v 0.097122 0.077340 0.830711 +v 0.066521 0.119114 0.877688 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7497 0.1700 -0.6395 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.044.obj b/data/sceneparts/tree1/leaves.044.obj new file mode 100644 index 000000000..8a5e656a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.044.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.044 +v 0.080130 0.048661 0.898258 +v 0.121495 0.034231 0.932855 +v 0.152722 0.091650 1.002336 +v 0.087160 0.091751 0.933046 +v 0.111357 0.106080 0.967739 +v 0.145693 0.048560 0.967548 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6661 -0.3997 0.6297 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.045.obj b/data/sceneparts/tree1/leaves.045.obj new file mode 100644 index 000000000..cca735a0e --- /dev/null +++ b/data/sceneparts/tree1/leaves.045.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.045 +v 0.122468 0.083365 0.903635 +v 0.140167 0.107958 0.861989 +v 0.225521 0.109557 0.840612 +v 0.173472 0.076234 0.903266 +v 0.207823 0.084964 0.882258 +v 0.174518 0.116688 0.840982 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1202 -0.8316 -0.5422 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.046.obj b/data/sceneparts/tree1/leaves.046.obj new file mode 100644 index 000000000..4f3020fd1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.046.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.046 +v 0.157603 0.117227 0.906085 +v 0.169297 0.156640 0.937261 +v 0.206439 0.231003 0.907875 +v 0.178466 0.153666 0.876103 +v 0.194745 0.191591 0.876699 +v 0.185575 0.194565 0.937857 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9069 0.3917 -0.1550 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.047.obj b/data/sceneparts/tree1/leaves.047.obj new file mode 100644 index 000000000..1c8a513bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.047.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.047 +v 0.207559 0.124914 0.916973 +v 0.227789 0.089087 0.906743 +v 0.299684 0.085906 0.898405 +v 0.248746 0.134735 0.914824 +v 0.279454 0.121733 0.908635 +v 0.258497 0.076084 0.900554 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1028 -0.2190 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.048.obj b/data/sceneparts/tree1/leaves.048.obj new file mode 100644 index 000000000..16dae25e2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.048.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.048 +v 0.249128 0.102046 0.932730 +v 0.261771 0.137712 0.935086 +v 0.226200 0.185751 0.960077 +v 0.221199 0.122182 0.948605 +v 0.213556 0.150084 0.957721 +v 0.254129 0.165614 0.944202 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3759 -0.1931 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.049.obj b/data/sceneparts/tree1/leaves.049.obj new file mode 100644 index 000000000..2be8ef28b --- /dev/null +++ b/data/sceneparts/tree1/leaves.049.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.049 +v 0.300267 0.087337 0.937671 +v 0.324776 0.069101 0.954796 +v 0.374766 0.094287 0.975966 +v 0.325424 0.110207 0.946076 +v 0.350256 0.112524 0.958841 +v 0.349609 0.071417 0.967561 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4628 0.1909 0.8657 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.050.obj b/data/sceneparts/tree1/leaves.050.obj new file mode 100644 index 000000000..d70593d34 --- /dev/null +++ b/data/sceneparts/tree1/leaves.050.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.050 +v 0.347348 0.092327 0.926642 +v 0.362296 0.095763 0.894425 +v 0.416542 0.071569 0.880656 +v 0.378530 0.075052 0.928201 +v 0.401594 0.068133 0.912873 +v 0.385360 0.088844 0.879097 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4510 -0.8410 -0.2989 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.051.obj b/data/sceneparts/tree1/leaves.051.obj new file mode 100644 index 000000000..bf6a3053c --- /dev/null +++ b/data/sceneparts/tree1/leaves.051.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.051 +v 0.396386 0.101671 0.910690 +v 0.415626 0.126001 0.918361 +v 0.443345 0.154491 0.880927 +v 0.408452 0.112554 0.883176 +v 0.424105 0.130160 0.873256 +v 0.431279 0.143608 0.908440 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7681 0.6345 -0.0859 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.052.obj b/data/sceneparts/tree1/leaves.052.obj new file mode 100644 index 000000000..8ae7794e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.052.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.052 +v 0.190401 0.143408 0.925908 +v 0.224382 0.143684 0.952570 +v 0.218309 0.158950 1.024526 +v 0.175026 0.153493 0.964992 +v 0.184329 0.158674 0.997864 +v 0.233684 0.148865 0.985443 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1441 -0.9704 0.1937 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.053.obj b/data/sceneparts/tree1/leaves.053.obj new file mode 100644 index 000000000..af6d8e57b --- /dev/null +++ b/data/sceneparts/tree1/leaves.053.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.053 +v 0.209016 0.176830 0.958693 +v 0.219854 0.216698 0.959320 +v 0.285636 0.237989 0.973623 +v 0.249259 0.177735 0.968020 +v 0.274799 0.198121 0.972997 +v 0.245394 0.237084 0.964296 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2265 -0.0463 -0.9729 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.054.obj b/data/sceneparts/tree1/leaves.054.obj new file mode 100644 index 000000000..a1884a360 --- /dev/null +++ b/data/sceneparts/tree1/leaves.054.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.054 +v 0.242943 0.193589 0.994279 +v 0.243258 0.187024 1.035439 +v 0.265610 0.236133 1.081933 +v 0.257738 0.228516 1.011556 +v 0.265294 0.242698 1.040774 +v 0.250814 0.201205 1.064657 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9300 0.3619 0.0649 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.055.obj b/data/sceneparts/tree1/leaves.055.obj new file mode 100644 index 000000000..f954d148a --- /dev/null +++ b/data/sceneparts/tree1/leaves.055.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.055 +v 0.280680 0.198224 1.026199 +v 0.313493 0.192355 1.019691 +v 0.345276 0.154927 1.050629 +v 0.290931 0.175228 1.048994 +v 0.312463 0.160796 1.057137 +v 0.335025 0.177923 1.027835 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2560 -0.7357 -0.6271 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.056.obj b/data/sceneparts/tree1/leaves.056.obj new file mode 100644 index 000000000..74b8ca43b --- /dev/null +++ b/data/sceneparts/tree1/leaves.056.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.056 +v -0.053742 0.029013 0.919691 +v -0.109178 0.049585 0.904760 +v -0.191638 0.039357 0.967656 +v -0.090237 0.015337 0.966598 +v -0.136203 0.018785 0.982586 +v -0.155143 0.053033 0.920748 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2131 0.8809 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.057.obj b/data/sceneparts/tree1/leaves.057.obj new file mode 100644 index 000000000..54e10654b --- /dev/null +++ b/data/sceneparts/tree1/leaves.057.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.057 +v -0.097853 0.060465 0.929661 +v -0.096330 0.110114 0.931227 +v -0.123243 0.154589 0.998381 +v -0.116303 0.073564 0.973909 +v -0.124767 0.104939 0.996816 +v -0.104793 0.141489 0.954134 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9179 -0.0406 0.3948 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.058.obj b/data/sceneparts/tree1/leaves.058.obj new file mode 100644 index 000000000..4f5b00dae --- /dev/null +++ b/data/sceneparts/tree1/leaves.058.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.058 +v -0.130066 0.101275 0.944398 +v -0.102352 0.056896 0.942619 +v -0.012904 0.055981 0.941581 +v -0.079672 0.115457 0.944299 +v -0.040618 0.100359 0.943360 +v -0.063298 0.041798 0.941680 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0113 -0.0330 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.059.obj b/data/sceneparts/tree1/leaves.059.obj new file mode 100644 index 000000000..1ea4562c6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.059.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.059 +v -0.148896 0.145253 0.968571 +v -0.155486 0.144092 1.016675 +v -0.226795 0.166775 1.052566 +v -0.194239 0.160762 0.976464 +v -0.220205 0.167935 1.004462 +v -0.181452 0.151266 1.044673 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3335 -0.9403 -0.0684 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.060.obj b/data/sceneparts/tree1/leaves.060.obj new file mode 100644 index 000000000..54211c3dc --- /dev/null +++ b/data/sceneparts/tree1/leaves.060.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.060 +v -0.148213 0.184679 1.004400 +v -0.110302 0.209932 1.014180 +v -0.078112 0.212505 1.086950 +v -0.139390 0.177976 1.049654 +v -0.116023 0.187252 1.077170 +v -0.086935 0.219208 1.041697 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5799 -0.7819 -0.2289 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.061.obj b/data/sceneparts/tree1/leaves.061.obj new file mode 100644 index 000000000..c707218aa --- /dev/null +++ b/data/sceneparts/tree1/leaves.061.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.061 +v -0.148986 0.219380 1.044818 +v -0.124115 0.245147 1.041600 +v -0.137275 0.301395 1.020672 +v -0.166049 0.248290 1.031939 +v -0.162145 0.275628 1.023890 +v -0.120212 0.272485 1.033551 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1924 0.3023 0.9336 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.062.obj b/data/sceneparts/tree1/leaves.062.obj new file mode 100644 index 000000000..bd62d529e --- /dev/null +++ b/data/sceneparts/tree1/leaves.062.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.062 +v -0.175038 0.248310 1.080270 +v -0.185069 0.280683 1.081437 +v -0.240944 0.296023 1.082219 +v -0.208945 0.247746 1.080403 +v -0.230913 0.263650 1.081053 +v -0.207038 0.296587 1.082086 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0045 -0.0346 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.063.obj b/data/sceneparts/tree1/leaves.063.obj new file mode 100644 index 000000000..1abb4f3a1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.063.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.063 +v -0.209505 0.273377 1.113593 +v -0.236553 0.281603 1.112191 +v -0.250561 0.326832 1.122069 +v -0.209828 0.300788 1.120645 +v -0.223514 0.318606 1.123471 +v -0.250238 0.299422 1.115017 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1254 0.2486 -0.9605 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.064.obj b/data/sceneparts/tree1/leaves.064.obj new file mode 100644 index 000000000..5e16f1d93 --- /dev/null +++ b/data/sceneparts/tree1/leaves.064.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.064 +v -0.097853 0.060465 0.929661 +v -0.146079 0.072700 0.943001 +v -0.200087 0.015809 0.982933 +v -0.117783 0.018459 0.951836 +v -0.151861 0.003573 0.969593 +v -0.180157 0.057815 0.960758 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3265 0.3154 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.065.obj b/data/sceneparts/tree1/leaves.065.obj new file mode 100644 index 000000000..f8da56f72 --- /dev/null +++ b/data/sceneparts/tree1/leaves.065.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.065 +v -0.148793 0.055419 0.924643 +v -0.176647 0.094191 0.925694 +v -0.257579 0.090417 0.916012 +v -0.193464 0.039979 0.917838 +v -0.229726 0.051645 0.914961 +v -0.212908 0.105857 0.922818 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1131 -0.1081 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.066.obj b/data/sceneparts/tree1/leaves.066.obj new file mode 100644 index 000000000..8e56a4383 --- /dev/null +++ b/data/sceneparts/tree1/leaves.066.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.066 +v -0.204659 0.061219 0.924515 +v -0.222161 0.019911 0.929275 +v -0.179642 -0.044119 0.923325 +v -0.170479 0.032302 0.918962 +v -0.162140 -0.002811 0.918565 +v -0.213822 -0.015202 0.928878 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1878 0.0335 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.067.obj b/data/sceneparts/tree1/leaves.067.obj new file mode 100644 index 000000000..76c224b07 --- /dev/null +++ b/data/sceneparts/tree1/leaves.067.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.067 +v -0.250680 0.081249 0.931749 +v -0.274200 0.115566 0.930304 +v -0.345278 0.113243 0.928761 +v -0.290227 0.068262 0.931202 +v -0.321759 0.078927 0.930206 +v -0.305732 0.126230 0.929308 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0226 0.0266 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.068.obj b/data/sceneparts/tree1/leaves.068.obj new file mode 100644 index 000000000..6d3811986 --- /dev/null +++ b/data/sceneparts/tree1/leaves.068.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.068 +v -0.304261 0.093928 0.931473 +v -0.278387 0.127417 0.928093 +v -0.299196 0.194747 0.945317 +v -0.326758 0.127651 0.944083 +v -0.325069 0.161258 0.948698 +v -0.276699 0.161023 0.932707 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3099 -0.1446 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.069.obj b/data/sceneparts/tree1/leaves.069.obj new file mode 100644 index 000000000..0c162e0f0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.069.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.069 +v -0.355626 0.100163 0.926212 +v -0.378011 0.105460 0.903037 +v -0.414688 0.066493 0.887229 +v -0.372615 0.072419 0.923398 +v -0.392302 0.061196 0.910404 +v -0.397699 0.094237 0.890042 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6427 0.3231 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.070.obj b/data/sceneparts/tree1/leaves.070.obj new file mode 100644 index 000000000..bcf11cb28 --- /dev/null +++ b/data/sceneparts/tree1/leaves.070.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.070 +v -0.021199 -0.019466 0.960865 +v -0.086484 -0.030457 0.960865 +v -0.130719 -0.134578 0.960865 +v -0.028927 -0.085217 0.960865 +v -0.065434 -0.123587 0.960865 +v -0.122990 -0.068827 0.960865 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0000 0.0000 1.0000 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.071.obj b/data/sceneparts/tree1/leaves.071.obj new file mode 100644 index 000000000..7af6a055a --- /dev/null +++ b/data/sceneparts/tree1/leaves.071.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.071 +v -0.032698 -0.043875 0.966785 +v -0.021990 -0.093991 0.951595 +v -0.087274 -0.152901 0.926897 +v -0.079790 -0.066443 0.955383 +v -0.097982 -0.102785 0.942087 +v -0.040182 -0.130333 0.938299 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0834 0.3053 -0.9486 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.072.obj b/data/sceneparts/tree1/leaves.072.obj new file mode 100644 index 000000000..d7f4f5ac2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.072.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.072 +v -0.044132 -0.070059 0.972680 +v -0.054633 -0.090591 1.022923 +v -0.015635 -0.170710 1.054295 +v -0.014633 -0.116628 0.976847 +v -0.005134 -0.150178 1.004052 +v -0.045134 -0.124141 1.050128 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7683 0.5201 0.3731 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.073.obj b/data/sceneparts/tree1/leaves.073.obj new file mode 100644 index 000000000..a11174b97 --- /dev/null +++ b/data/sceneparts/tree1/leaves.073.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.073 +v -0.055239 -0.100024 0.978384 +v -0.103518 -0.106411 0.969051 +v -0.133004 -0.171817 0.923972 +v -0.058804 -0.141499 0.951442 +v -0.084725 -0.165430 0.933305 +v -0.129439 -0.130342 0.950914 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0911 -0.5370 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.074.obj b/data/sceneparts/tree1/leaves.074.obj new file mode 100644 index 000000000..f8b9fff9e --- /dev/null +++ b/data/sceneparts/tree1/leaves.074.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.074 +v -0.062999 -0.128343 0.981726 +v -0.045576 -0.181045 0.982578 +v 0.045986 -0.204693 0.975095 +v -0.007766 -0.126541 0.976454 +v 0.028563 -0.151991 0.974244 +v -0.009247 -0.206495 0.980367 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0934 0.0469 0.9945 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.075.obj b/data/sceneparts/tree1/leaves.075.obj new file mode 100644 index 000000000..5332e74cd --- /dev/null +++ b/data/sceneparts/tree1/leaves.075.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.075 +v -0.068868 -0.154599 0.984102 +v -0.108088 -0.184581 0.976826 +v -0.101078 -0.269521 0.974202 +v -0.051122 -0.201232 0.984779 +v -0.061858 -0.239540 0.981478 +v -0.118824 -0.222889 0.973526 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1504 -0.0429 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.076.obj b/data/sceneparts/tree1/leaves.076.obj new file mode 100644 index 000000000..58b3fd0ad --- /dev/null +++ b/data/sceneparts/tree1/leaves.076.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.076 +v -0.076187 -0.181668 0.988362 +v -0.087062 -0.217377 0.952045 +v -0.167014 -0.255840 0.945093 +v -0.125864 -0.195406 0.995833 +v -0.156140 -0.220130 0.981411 +v -0.117337 -0.242101 0.937622 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2941 0.7241 -0.6239 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.077.obj b/data/sceneparts/tree1/leaves.077.obj new file mode 100644 index 000000000..233be666f --- /dev/null +++ b/data/sceneparts/tree1/leaves.077.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.077 +v -0.087755 -0.210448 0.996797 +v -0.120664 -0.241913 0.988089 +v -0.119034 -0.288783 0.924250 +v -0.075698 -0.231206 0.957140 +v -0.086124 -0.257318 0.932958 +v -0.131091 -0.268025 0.963906 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5172 -0.6835 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.078.obj b/data/sceneparts/tree1/leaves.078.obj new file mode 100644 index 000000000..133065969 --- /dev/null +++ b/data/sceneparts/tree1/leaves.078.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.078 +v -0.101570 -0.233171 1.007470 +v -0.140084 -0.233122 1.021918 +v -0.156188 -0.254802 1.086815 +v -0.099467 -0.247641 1.045919 +v -0.117673 -0.254851 1.072368 +v -0.158291 -0.240332 1.048366 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1299 0.9303 0.3430 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.079.obj b/data/sceneparts/tree1/leaves.079.obj new file mode 100644 index 000000000..8860ca87f --- /dev/null +++ b/data/sceneparts/tree1/leaves.079.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.079 +v -0.115111 -0.253808 1.019008 +v -0.139786 -0.220003 1.026619 +v -0.205531 -0.212001 0.996662 +v -0.150716 -0.259742 0.996500 +v -0.180856 -0.245806 0.989051 +v -0.169926 -0.206068 1.019170 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4120 -0.4757 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.080.obj b/data/sceneparts/tree1/leaves.080.obj new file mode 100644 index 000000000..4a2b24068 --- /dev/null +++ b/data/sceneparts/tree1/leaves.080.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.080 +v -0.126169 -0.278441 1.030432 +v -0.125542 -0.293438 1.064753 +v -0.102931 -0.352204 1.076278 +v -0.111304 -0.312620 1.026674 +v -0.103558 -0.337207 1.041956 +v -0.117796 -0.318025 1.080035 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9126 0.3805 0.1496 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.081.obj b/data/sceneparts/tree1/leaves.081.obj new file mode 100644 index 000000000..336f92857 --- /dev/null +++ b/data/sceneparts/tree1/leaves.081.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.081 +v -0.132181 -0.308040 1.040029 +v -0.157677 -0.329035 1.030088 +v -0.193099 -0.356331 1.068482 +v -0.147296 -0.319239 1.068939 +v -0.167602 -0.335336 1.078424 +v -0.177983 -0.345132 1.039572 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6289 0.7770 -0.0279 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.082.obj b/data/sceneparts/tree1/leaves.082.obj new file mode 100644 index 000000000..227544ebd --- /dev/null +++ b/data/sceneparts/tree1/leaves.082.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.082 +v -0.132814 -0.334821 1.046619 +v -0.113924 -0.355378 1.065833 +v -0.082127 -0.336076 1.110219 +v -0.117912 -0.315101 1.069805 +v -0.101016 -0.315519 1.091005 +v -0.097029 -0.355796 1.087033 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7759 -0.1375 0.6157 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.083.obj b/data/sceneparts/tree1/leaves.083.obj new file mode 100644 index 000000000..3cf60a6f2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.083.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.083 +v -0.131128 -0.361639 1.052230 +v -0.147895 -0.378964 1.077528 +v -0.119293 -0.411634 1.118523 +v -0.106472 -0.377644 1.071128 +v -0.102527 -0.394309 1.093225 +v -0.143950 -0.395629 1.099625 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0661 0.8023 0.5933 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.084.obj b/data/sceneparts/tree1/leaves.084.obj new file mode 100644 index 000000000..036543848 --- /dev/null +++ b/data/sceneparts/tree1/leaves.084.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.084 +v -0.130280 -0.391885 1.059007 +v -0.127752 -0.413366 1.039862 +v -0.162646 -0.447734 1.033719 +v -0.154386 -0.407636 1.061294 +v -0.165175 -0.426252 1.052864 +v -0.138540 -0.431983 1.031432 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4378 0.5689 -0.6962 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.085.obj b/data/sceneparts/tree1/leaves.085.obj new file mode 100644 index 000000000..99c375112 --- /dev/null +++ b/data/sceneparts/tree1/leaves.085.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.085 +v 0.042292 0.007579 1.014443 +v 0.166421 0.071749 1.061037 +v 0.093474 0.035354 0.995058 +v 0.073863 0.022584 1.064890 +v 0.115239 0.043974 1.080422 +v 0.134850 0.056744 1.010589 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4679 0.8833 0.0301 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.086.obj b/data/sceneparts/tree1/leaves.086.obj new file mode 100644 index 000000000..8e9bfe036 --- /dev/null +++ b/data/sceneparts/tree1/leaves.086.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.086 +v 0.092840 -0.011781 1.034009 +v 0.099008 -0.068135 1.028981 +v 0.106931 -0.127017 1.105977 +v 0.096066 -0.032251 1.087016 +v 0.100763 -0.070663 1.111005 +v 0.103705 -0.106547 1.052971 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9937 -0.1104 0.0179 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.087.obj b/data/sceneparts/tree1/leaves.087.obj new file mode 100644 index 000000000..1fbc96e67 --- /dev/null +++ b/data/sceneparts/tree1/leaves.087.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.087 +v 0.127087 -0.048581 1.060699 +v 0.179098 -0.057390 1.072930 +v 0.217902 -0.141254 1.068083 +v 0.135620 -0.101554 1.053390 +v 0.165891 -0.132445 1.055852 +v 0.209370 -0.088281 1.075391 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2530 0.1721 -0.9520 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.088.obj b/data/sceneparts/tree1/leaves.088.obj new file mode 100644 index 000000000..4f926d699 --- /dev/null +++ b/data/sceneparts/tree1/leaves.088.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.088 +v 0.144154 -0.087661 1.093327 +v 0.126186 -0.103606 1.135473 +v 0.171216 -0.106302 1.205022 +v 0.180163 -0.084143 1.125644 +v 0.189184 -0.090357 1.162875 +v 0.135207 -0.109820 1.172705 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2937 0.9288 0.2262 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.089.obj b/data/sceneparts/tree1/leaves.089.obj new file mode 100644 index 000000000..7cfcaf916 --- /dev/null +++ b/data/sceneparts/tree1/leaves.089.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.089 +v 0.173948 -0.122991 1.125814 +v 0.170338 -0.159065 1.145253 +v 0.225856 -0.194680 1.169557 +v 0.212162 -0.134710 1.135537 +v 0.229465 -0.158606 1.150118 +v 0.187641 -0.182961 1.159834 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0757 0.4789 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.090.obj b/data/sceneparts/tree1/leaves.090.obj new file mode 100644 index 000000000..949395fb7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.090.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.090 +v 0.196332 -0.143538 1.145774 +v 0.225885 -0.137297 1.136550 +v 0.262289 -0.176086 1.127457 +v 0.210750 -0.171478 1.142787 +v 0.232736 -0.182327 1.136681 +v 0.247871 -0.148146 1.130445 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2886 0.0467 0.9563 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.091.obj b/data/sceneparts/tree1/leaves.091.obj new file mode 100644 index 000000000..261bc5573 --- /dev/null +++ b/data/sceneparts/tree1/leaves.091.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.091 +v 0.089964 0.022680 1.018510 +v 0.139411 0.021033 1.019971 +v 0.187806 0.087273 0.999391 +v 0.105745 0.067389 1.004303 +v 0.138359 0.088920 0.997930 +v 0.172024 0.042564 1.013598 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0178 0.3085 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.092.obj b/data/sceneparts/tree1/leaves.092.obj new file mode 100644 index 000000000..035fb7786 --- /dev/null +++ b/data/sceneparts/tree1/leaves.092.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.092 +v 0.131859 0.056382 1.012656 +v 0.185284 0.042320 1.006259 +v 0.240336 0.079934 0.938543 +v 0.150753 0.086145 0.969645 +v 0.186911 0.093996 0.944940 +v 0.221442 0.050171 0.981555 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2678 -0.7332 -0.6250 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.093.obj b/data/sceneparts/tree1/leaves.093.obj new file mode 100644 index 000000000..ceb03a535 --- /dev/null +++ b/data/sceneparts/tree1/leaves.093.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.093 +v 0.185464 0.084205 1.011365 +v 0.210301 0.111244 1.044355 +v 0.266292 0.170173 1.021847 +v 0.214512 0.114478 0.985362 +v 0.241455 0.143134 0.988856 +v 0.237244 0.139900 1.047849 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7276 0.6859 -0.0143 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.094.obj b/data/sceneparts/tree1/leaves.094.obj new file mode 100644 index 000000000..ec729d698 --- /dev/null +++ b/data/sceneparts/tree1/leaves.094.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.094 +v 0.237973 0.095103 1.018103 +v 0.255978 0.104811 1.056568 +v 0.303199 0.059011 1.091420 +v 0.263451 0.061333 1.028516 +v 0.285194 0.049302 1.052955 +v 0.277721 0.092781 1.081007 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.7684 -0.4350 0.4695 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.095.obj b/data/sceneparts/tree1/leaves.095.obj new file mode 100644 index 000000000..c6309f52f --- /dev/null +++ b/data/sceneparts/tree1/leaves.095.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.095 +v 0.290066 0.118113 1.012815 +v 0.266439 0.150298 1.004037 +v 0.196666 0.146964 1.004468 +v 0.251425 0.105162 1.016028 +v 0.220292 0.114779 1.013246 +v 0.235306 0.159915 1.001255 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0064 0.2587 0.9659 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.096.obj b/data/sceneparts/tree1/leaves.096.obj new file mode 100644 index 000000000..c39d6642b --- /dev/null +++ b/data/sceneparts/tree1/leaves.096.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.096 +v 0.324111 0.153469 0.991334 +v 0.354538 0.165920 1.000486 +v 0.363478 0.222639 1.010669 +v 0.319929 0.187131 0.995072 +v 0.333051 0.210187 1.001517 +v 0.367660 0.188977 1.006931 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2339 -0.1360 0.9627 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.097.obj b/data/sceneparts/tree1/leaves.097.obj new file mode 100644 index 000000000..b2aea0ddd --- /dev/null +++ b/data/sceneparts/tree1/leaves.097.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.097 +v 0.354702 0.193805 0.964109 +v 0.348711 0.166231 0.982635 +v 0.386907 0.123304 0.987678 +v 0.382163 0.174378 0.961295 +v 0.392897 0.150878 0.969151 +v 0.359446 0.142731 0.990491 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4000 0.4497 0.7986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.098.obj b/data/sceneparts/tree1/leaves.098.obj new file mode 100644 index 000000000..9e78834f7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.098.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.098 +v 0.021286 0.037784 1.071206 +v 0.021966 0.168658 1.129457 +v 0.021399 0.095972 1.057904 +v 0.021627 0.066845 1.123341 +v 0.021853 0.110470 1.142758 +v 0.021625 0.139596 1.077321 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -1.0000 0.0030 0.0048 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.099.obj b/data/sceneparts/tree1/leaves.099.obj new file mode 100644 index 000000000..be1d44f6e --- /dev/null +++ b/data/sceneparts/tree1/leaves.099.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.099 +v 0.055020 0.070591 1.084029 +v 0.105656 0.068066 1.086662 +v 0.155855 0.138757 1.089595 +v 0.071607 0.118559 1.085107 +v 0.105219 0.141281 1.086962 +v 0.139268 0.090788 1.088517 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0522 -0.0044 0.9986 +vn -0.0521 -0.0044 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.100.obj b/data/sceneparts/tree1/leaves.100.obj new file mode 100644 index 000000000..3877c179c --- /dev/null +++ b/data/sceneparts/tree1/leaves.100.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.100 +v 0.087611 0.113321 1.092782 +v 0.127733 0.210138 1.013185 +v 0.130056 0.130609 1.062677 +v 0.071914 0.160578 1.069822 +v 0.085288 0.192850 1.043290 +v 0.143430 0.162881 1.036145 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3554 -0.5013 -0.7889 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.101.obj b/data/sceneparts/tree1/leaves.101.obj new file mode 100644 index 000000000..29c9a9fc6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.101.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.101 +v 0.108382 0.158297 1.093829 +v 0.143967 0.189846 1.079019 +v 0.126568 0.263872 1.040786 +v 0.084920 0.197132 1.073277 +v 0.090982 0.232324 1.055596 +v 0.150029 0.225037 1.061338 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0307 0.4529 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.102.obj b/data/sceneparts/tree1/leaves.102.obj new file mode 100644 index 000000000..51fbcdc49 --- /dev/null +++ b/data/sceneparts/tree1/leaves.102.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.102 +v 0.142017 0.192272 1.101374 +v 0.241961 0.156947 1.116525 +v 0.169577 0.175196 1.132026 +v 0.181086 0.185799 1.080823 +v 0.214401 0.174024 1.085873 +v 0.202892 0.163421 1.137076 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2875 -0.9230 -0.2558 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.103.obj b/data/sceneparts/tree1/leaves.103.obj new file mode 100644 index 000000000..4e59c6753 --- /dev/null +++ b/data/sceneparts/tree1/leaves.103.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.103 +v 0.186068 0.196766 1.122442 +v 0.216630 0.227700 1.139096 +v 0.293491 0.227333 1.118511 +v 0.227121 0.186211 1.103167 +v 0.262929 0.196400 1.101857 +v 0.252438 0.237889 1.137786 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2020 0.6115 -0.7651 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.104.obj b/data/sceneparts/tree1/leaves.104.obj new file mode 100644 index 000000000..0f9e8781b --- /dev/null +++ b/data/sceneparts/tree1/leaves.104.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.104 +v 0.229085 0.183003 1.143258 +v 0.251245 0.153327 1.143975 +v 0.314373 0.157905 1.143086 +v 0.263783 0.195946 1.142426 +v 0.292213 0.187580 1.142369 +v 0.279675 0.144961 1.143918 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0117 0.0329 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.105.obj b/data/sceneparts/tree1/leaves.105.obj new file mode 100644 index 000000000..1384bd698 --- /dev/null +++ b/data/sceneparts/tree1/leaves.105.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.105 +v 0.281742 0.179235 1.149544 +v 0.303395 0.196835 1.119556 +v 0.350080 0.161596 1.081107 +v 0.305648 0.149876 1.133908 +v 0.328427 0.143996 1.111096 +v 0.326175 0.190956 1.096743 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7174 -0.2349 -0.6558 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.106.obj b/data/sceneparts/tree1/leaves.106.obj new file mode 100644 index 000000000..f4b9ac069 --- /dev/null +++ b/data/sceneparts/tree1/leaves.106.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.106 +v 0.327267 0.182260 1.140125 +v 0.331782 0.217728 1.143650 +v 0.356451 0.186700 1.160603 +v 0.377815 0.242121 1.176129 +v 0.373300 0.206653 1.172605 +v 0.348631 0.237681 1.155651 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5735 -0.0084 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.107.obj b/data/sceneparts/tree1/leaves.107.obj new file mode 100644 index 000000000..cad4808d2 --- /dev/null +++ b/data/sceneparts/tree1/leaves.107.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.107 +v 0.376685 0.186278 1.127360 +v 0.394187 0.159116 1.128146 +v 0.449418 0.159306 1.127703 +v 0.407671 0.195459 1.126803 +v 0.431915 0.186469 1.126917 +v 0.418432 0.150126 1.128260 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0079 0.0340 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.108.obj b/data/sceneparts/tree1/leaves.108.obj new file mode 100644 index 000000000..ad1dc9161 --- /dev/null +++ b/data/sceneparts/tree1/leaves.108.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.108 +v 0.142017 0.192272 1.101374 +v 0.166765 0.216593 1.069309 +v 0.117467 0.231732 1.092864 +v 0.142315 0.287942 1.040512 +v 0.117567 0.263622 1.072577 +v 0.166864 0.248483 1.049022 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4939 -0.4656 -0.7344 +vn -0.4939 -0.4656 -0.7343 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/2 3/5/2 5/6/2 4/2/2 diff --git a/data/sceneparts/tree1/leaves.109.obj b/data/sceneparts/tree1/leaves.109.obj new file mode 100644 index 000000000..8a606f5a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.109.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.109 +v 0.154186 0.239471 1.094833 +v 0.182257 0.267287 1.092870 +v 0.168721 0.333197 1.099518 +v 0.135805 0.274139 1.099919 +v 0.140650 0.305381 1.101481 +v 0.187102 0.298529 1.094432 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1394 -0.0710 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.110.obj b/data/sceneparts/tree1/leaves.110.obj new file mode 100644 index 000000000..a405f613d --- /dev/null +++ b/data/sceneparts/tree1/leaves.110.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.110 +v 0.172904 0.283428 1.110590 +v 0.177273 0.371946 1.110936 +v 0.152234 0.314025 1.111083 +v 0.196487 0.311843 1.110329 +v 0.197943 0.341350 1.110444 +v 0.153690 0.343531 1.111198 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0168 -0.0047 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.111.obj b/data/sceneparts/tree1/leaves.111.obj new file mode 100644 index 000000000..cb58064ee --- /dev/null +++ b/data/sceneparts/tree1/leaves.111.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.111 +v 0.192472 0.304869 1.149159 +v 0.225733 0.301180 1.156448 +v 0.263552 0.345802 1.154514 +v 0.206598 0.335847 1.145440 +v 0.230291 0.349491 1.147225 +v 0.249426 0.314824 1.158233 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1883 0.2013 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.112.obj b/data/sceneparts/tree1/leaves.112.obj new file mode 100644 index 000000000..9ed499263 --- /dev/null +++ b/data/sceneparts/tree1/leaves.112.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.112 +v 0.197908 0.311263 1.159477 +v 0.191108 0.306441 1.189093 +v 0.224226 0.303050 1.173132 +v 0.227186 0.291710 1.224383 +v 0.233986 0.296532 1.194767 +v 0.200867 0.299923 1.210728 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1952 -0.9599 -0.2011 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.113.obj b/data/sceneparts/tree1/leaves.113.obj new file mode 100644 index 000000000..117083a56 --- /dev/null +++ b/data/sceneparts/tree1/leaves.113.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.113 +v -0.041757 -0.009091 1.132040 +v -0.040376 0.045790 1.110103 +v -0.096197 0.120955 1.148052 +v -0.079432 0.022725 1.164652 +v -0.097579 0.066073 1.169989 +v -0.058523 0.089139 1.115440 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7414 0.2329 0.6293 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.114.obj b/data/sceneparts/tree1/leaves.114.obj new file mode 100644 index 000000000..6f14ea53c --- /dev/null +++ b/data/sceneparts/tree1/leaves.114.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.114 +v -0.070591 -0.025014 1.141133 +v -0.179578 -0.089586 1.101306 +v -0.125841 -0.024614 1.144088 +v -0.087999 -0.068463 1.111626 +v -0.124328 -0.089986 1.098350 +v -0.162170 -0.046138 1.130812 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0397 -0.5722 0.8192 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.115.obj b/data/sceneparts/tree1/leaves.115.obj new file mode 100644 index 000000000..5fd9f0bcd --- /dev/null +++ b/data/sceneparts/tree1/leaves.115.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.115 +v -0.102837 -0.042770 1.151436 +v -0.141833 -0.008372 1.163605 +v -0.223362 -0.035422 1.194415 +v -0.144190 -0.072269 1.167919 +v -0.184365 -0.069820 1.182246 +v -0.182009 -0.005923 1.177931 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3382 0.0510 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.116.obj b/data/sceneparts/tree1/leaves.116.obj new file mode 100644 index 000000000..b3ed58bc1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.116.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.116 +v -0.134343 -0.060091 1.160221 +v -0.195405 -0.169539 1.149554 +v -0.173623 -0.083901 1.134985 +v -0.135771 -0.109245 1.178346 +v -0.156125 -0.145728 1.174791 +v -0.193978 -0.120384 1.131429 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6341 0.2837 0.7193 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.117.obj b/data/sceneparts/tree1/leaves.117.obj new file mode 100644 index 000000000..907da5eab --- /dev/null +++ b/data/sceneparts/tree1/leaves.117.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.117 +v -0.162421 -0.075484 1.168012 +v -0.203361 -0.054116 1.184718 +v -0.237687 -0.073884 1.258699 +v -0.171659 -0.095786 1.211764 +v -0.196747 -0.095252 1.241993 +v -0.228449 -0.053582 1.214947 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5503 0.7070 0.4442 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.118.obj b/data/sceneparts/tree1/leaves.118.obj new file mode 100644 index 000000000..614dc7e51 --- /dev/null +++ b/data/sceneparts/tree1/leaves.118.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.118 +v -0.192673 -0.091942 1.180894 +v -0.210425 -0.131866 1.166441 +v -0.284276 -0.138334 1.140199 +v -0.235989 -0.082946 1.168217 +v -0.266524 -0.098410 1.154652 +v -0.240959 -0.147330 1.152876 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3129 0.1972 -0.9291 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.119.obj b/data/sceneparts/tree1/leaves.119.obj new file mode 100644 index 000000000..7a679b358 --- /dev/null +++ b/data/sceneparts/tree1/leaves.119.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.119 +v -0.222433 -0.103218 1.204022 +v -0.223165 -0.104690 1.245057 +v -0.257732 -0.154448 1.280468 +v -0.245234 -0.135900 1.213951 +v -0.257000 -0.152976 1.239434 +v -0.234931 -0.121766 1.270539 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8193 -0.5734 -0.0060 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.120.obj b/data/sceneparts/tree1/leaves.120.obj new file mode 100644 index 000000000..22353f8c5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.120.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.120 +v -0.247453 -0.111813 1.228606 +v -0.290410 -0.104346 1.228082 +v -0.340575 -0.157727 1.241704 +v -0.266578 -0.149890 1.237862 +v -0.297619 -0.165195 1.242228 +v -0.321450 -0.119651 1.232448 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0269 0.2233 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.121.obj b/data/sceneparts/tree1/leaves.121.obj new file mode 100644 index 000000000..dd1b002bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.121.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.121 +v -0.270958 -0.133836 1.239824 +v -0.273584 -0.175469 1.240428 +v -0.216045 -0.217544 1.241569 +v -0.231723 -0.148009 1.240383 +v -0.213419 -0.175912 1.240965 +v -0.255280 -0.203372 1.241010 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0088 0.0151 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.122.obj b/data/sceneparts/tree1/leaves.122.obj new file mode 100644 index 000000000..0ab6796ee --- /dev/null +++ b/data/sceneparts/tree1/leaves.122.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.122 +v -0.283566 -0.163996 1.229213 +v -0.263973 -0.178893 1.207272 +v -0.283388 -0.200407 1.158952 +v -0.303041 -0.173373 1.204312 +v -0.302981 -0.185510 1.180892 +v -0.263913 -0.191030 1.183852 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1583 -0.8768 0.4540 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.123.obj b/data/sceneparts/tree1/leaves.123.obj new file mode 100644 index 000000000..63d7db322 --- /dev/null +++ b/data/sceneparts/tree1/leaves.123.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.123 +v -0.282897 -0.190744 1.205435 +v -0.272228 -0.190515 1.171261 +v -0.303391 -0.218765 1.126836 +v -0.307229 -0.209654 1.187210 +v -0.314060 -0.218994 1.161010 +v -0.279059 -0.199855 1.145061 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5286 0.8338 -0.1594 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.124.obj b/data/sceneparts/tree1/leaves.124.obj new file mode 100644 index 000000000..7c722a733 --- /dev/null +++ b/data/sceneparts/tree1/leaves.124.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.124 +v -0.282673 -0.220800 1.179357 +v -0.260175 -0.283108 1.161240 +v -0.285059 -0.248662 1.185433 +v -0.265289 -0.234477 1.161203 +v -0.257790 -0.255246 1.155164 +v -0.277560 -0.269431 1.179394 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7491 0.0793 0.6576 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.125.obj b/data/sceneparts/tree1/leaves.125.obj new file mode 100644 index 000000000..d44feaf3e --- /dev/null +++ b/data/sceneparts/tree1/leaves.125.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.125 +v -0.297083 -0.151142 1.253101 +v -0.332705 -0.150971 1.241916 +v -0.381044 -0.137749 1.281401 +v -0.317436 -0.142384 1.283153 +v -0.345423 -0.137920 1.292587 +v -0.360692 -0.146507 1.251349 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0770 0.9700 -0.2305 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.126.obj b/data/sceneparts/tree1/leaves.126.obj new file mode 100644 index 000000000..9bb4fb266 --- /dev/null +++ b/data/sceneparts/tree1/leaves.126.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.126 +v -0.324325 -0.169188 1.266946 +v -0.357290 -0.175579 1.275059 +v -0.378851 -0.230340 1.279633 +v -0.327711 -0.203564 1.267291 +v -0.345886 -0.223948 1.271520 +v -0.375465 -0.195963 1.279287 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2415 -0.0140 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.127.obj b/data/sceneparts/tree1/leaves.127.obj new file mode 100644 index 000000000..8a5181d28 --- /dev/null +++ b/data/sceneparts/tree1/leaves.127.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.127 +v -0.334856 -0.176163 1.272298 +v -0.353812 -0.166753 1.247364 +v -0.368448 -0.201335 1.205975 +v -0.338295 -0.202355 1.253016 +v -0.349492 -0.210745 1.230909 +v -0.365009 -0.175144 1.225256 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8127 -0.2725 0.5150 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.128.obj b/data/sceneparts/tree1/leaves.128.obj new file mode 100644 index 000000000..7dbbbcb61 --- /dev/null +++ b/data/sceneparts/tree1/leaves.128.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.128 +v 0.031703 -0.016179 1.211862 +v 0.073972 -0.020146 1.179219 +v 0.109985 -0.100655 1.154805 +v 0.041622 -0.068529 1.206467 +v 0.067716 -0.096688 1.187448 +v 0.100066 -0.048305 1.160200 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6129 -0.0348 -0.7894 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.129.obj b/data/sceneparts/tree1/leaves.129.obj new file mode 100644 index 000000000..d3b4d6cd5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.129.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.129 +v 0.076732 -0.042576 1.228652 +v 0.105243 -0.038365 1.271545 +v 0.193431 -0.042796 1.270638 +v 0.126020 -0.046935 1.213750 +v 0.164920 -0.047008 1.227746 +v 0.144143 -0.038438 1.285540 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0484 0.9904 -0.1295 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.130.obj b/data/sceneparts/tree1/leaves.130.obj new file mode 100644 index 000000000..32c4a556e --- /dev/null +++ b/data/sceneparts/tree1/leaves.130.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.130 +v 0.115838 -0.078794 1.250867 +v 0.128490 -0.165423 1.348166 +v 0.134048 -0.084698 1.301934 +v 0.106063 -0.130643 1.264666 +v 0.110280 -0.159519 1.297099 +v 0.138265 -0.113575 1.334366 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.8988 0.2628 0.3509 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.131.obj b/data/sceneparts/tree1/leaves.131.obj new file mode 100644 index 000000000..b22f2b597 --- /dev/null +++ b/data/sceneparts/tree1/leaves.131.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.131 +v 0.142867 -0.115782 1.273864 +v 0.109804 -0.151247 1.271665 +v 0.129725 -0.229850 1.254241 +v 0.167169 -0.156362 1.262982 +v 0.162788 -0.194385 1.256440 +v 0.105423 -0.189270 1.265123 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1312 -0.1827 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.132.obj b/data/sceneparts/tree1/leaves.132.obj new file mode 100644 index 000000000..cc86c611e --- /dev/null +++ b/data/sceneparts/tree1/leaves.132.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.132 +v 0.167948 -0.156805 1.307581 +v 0.235916 -0.175070 1.401061 +v 0.212451 -0.171323 1.321209 +v 0.168756 -0.154464 1.356273 +v 0.191412 -0.160552 1.387433 +v 0.235107 -0.177411 1.352369 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.3238 0.9448 -0.0508 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.133.obj b/data/sceneparts/tree1/leaves.133.obj new file mode 100644 index 000000000..4a0691ae5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.133.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.133 +v 0.181702 -0.191174 1.345168 +v 0.168384 -0.233046 1.344779 +v 0.131920 -0.264406 1.402441 +v 0.161832 -0.198123 1.383739 +v 0.145238 -0.222534 1.402830 +v 0.151790 -0.257457 1.363870 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8728 0.2813 -0.3989 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.134.obj b/data/sceneparts/tree1/leaves.134.obj new file mode 100644 index 000000000..ebdd5e9ab --- /dev/null +++ b/data/sceneparts/tree1/leaves.134.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.134 +v 0.211891 -0.231005 1.370053 +v 0.304050 -0.210900 1.358008 +v 0.247498 -0.247528 1.364668 +v 0.237723 -0.201079 1.367409 +v 0.268442 -0.194377 1.363394 +v 0.278218 -0.240826 1.360652 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1359 -0.0298 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.135.obj b/data/sceneparts/tree1/leaves.135.obj new file mode 100644 index 000000000..e3efd8537 --- /dev/null +++ b/data/sceneparts/tree1/leaves.135.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.135 +v 0.252685 -0.263220 1.368953 +v 0.259996 -0.292393 1.384928 +v 0.312270 -0.303169 1.408112 +v 0.285097 -0.260680 1.379085 +v 0.304959 -0.273996 1.392138 +v 0.279858 -0.305709 1.397980 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3019 0.3985 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.136.obj b/data/sceneparts/tree1/leaves.136.obj new file mode 100644 index 000000000..c9a68a1d9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.136.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.136 +v 0.298655 -0.295325 1.360894 +v 0.338543 -0.354598 1.328129 +v 0.321142 -0.302361 1.338148 +v 0.302760 -0.327804 1.361797 +v 0.316056 -0.347561 1.350875 +v 0.334438 -0.322119 1.327226 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.7237 -0.1104 -0.6813 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.137.obj b/data/sceneparts/tree1/leaves.137.obj new file mode 100644 index 000000000..32f36a67a --- /dev/null +++ b/data/sceneparts/tree1/leaves.137.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.137 +v 0.126023 -0.041440 1.228123 +v 0.156695 -0.012397 1.260030 +v 0.198924 0.062540 1.232029 +v 0.143951 -0.001163 1.198819 +v 0.168252 0.033497 1.200121 +v 0.180995 0.022263 1.261333 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7940 0.5467 0.2657 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.138.obj b/data/sceneparts/tree1/leaves.138.obj new file mode 100644 index 000000000..e7505f78f --- /dev/null +++ b/data/sceneparts/tree1/leaves.138.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.138 +v 0.182106 -0.038985 1.229613 +v 0.226478 -0.023981 1.248275 +v 0.203408 -0.079888 1.249995 +v 0.280616 -0.077833 1.288179 +v 0.259314 -0.036930 1.267797 +v 0.236244 -0.092837 1.269517 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4381 0.2077 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.139.obj b/data/sceneparts/tree1/leaves.139.obj new file mode 100644 index 000000000..4ba370a52 --- /dev/null +++ b/data/sceneparts/tree1/leaves.139.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.139 +v 0.228314 -0.056922 1.248130 +v 0.242854 -0.017045 1.237746 +v 0.198892 0.035141 1.207422 +v 0.194159 -0.035424 1.231376 +v 0.184352 -0.004736 1.217806 +v 0.233047 0.013643 1.224176 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2427 0.3264 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.140.obj b/data/sceneparts/tree1/leaves.140.obj new file mode 100644 index 000000000..23ca2bfb4 --- /dev/null +++ b/data/sceneparts/tree1/leaves.140.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.140 +v 0.282712 -0.058942 1.246165 +v 0.352080 -0.009955 1.286885 +v 0.300803 -0.024119 1.246063 +v 0.310867 -0.061106 1.273414 +v 0.333989 -0.044778 1.286988 +v 0.323925 -0.007790 1.259636 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6417 0.3354 0.6897 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.141.obj b/data/sceneparts/tree1/leaves.141.obj new file mode 100644 index 000000000..69eed9077 --- /dev/null +++ b/data/sceneparts/tree1/leaves.141.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.141 +v 0.319214 -0.055506 1.238691 +v 0.307211 -0.083086 1.222459 +v 0.336540 -0.109472 1.179394 +v 0.342768 -0.063904 1.215391 +v 0.348543 -0.081892 1.195625 +v 0.312986 -0.101074 1.202694 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4515 -0.5903 0.6691 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.142.obj b/data/sceneparts/tree1/leaves.142.obj new file mode 100644 index 000000000..346df7f38 --- /dev/null +++ b/data/sceneparts/tree1/leaves.142.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.142 +v 0.009758 0.033824 1.284983 +v 0.056430 0.069844 1.304136 +v 0.044720 0.173561 1.322190 +v -0.013606 0.090962 1.290635 +v -0.001952 0.137541 1.303037 +v 0.068084 0.116423 1.316538 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2415 -0.1928 0.9511 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.143.obj b/data/sceneparts/tree1/leaves.143.obj new file mode 100644 index 000000000..5529c474a --- /dev/null +++ b/data/sceneparts/tree1/leaves.143.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.143 +v 0.033117 0.062898 1.298656 +v 0.093624 0.067409 1.304264 +v 0.141797 0.158276 1.320522 +v 0.045063 0.121972 1.307626 +v 0.081290 0.153765 1.314914 +v 0.129851 0.099201 1.311553 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0816 -0.1335 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.144.obj b/data/sceneparts/tree1/leaves.144.obj new file mode 100644 index 000000000..c80d425ed --- /dev/null +++ b/data/sceneparts/tree1/leaves.144.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.144 +v 0.058924 0.095734 1.313141 +v 0.073612 0.149487 1.314977 +v 0.009676 0.220070 1.317595 +v 0.011404 0.124872 1.314274 +v -0.005012 0.166317 1.315759 +v 0.057196 0.190932 1.316461 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0025 -0.0348 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.145.obj b/data/sceneparts/tree1/leaves.145.obj new file mode 100644 index 000000000..80246b78c --- /dev/null +++ b/data/sceneparts/tree1/leaves.145.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.145 +v 0.081854 0.123702 1.324966 +v 0.124507 0.138451 1.301977 +v 0.150664 0.220943 1.300772 +v 0.085075 0.173780 1.331826 +v 0.108011 0.206194 1.323761 +v 0.147443 0.170865 1.293912 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5086 -0.1489 0.8480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.146.obj b/data/sceneparts/tree1/leaves.146.obj new file mode 100644 index 000000000..7779af09f --- /dev/null +++ b/data/sceneparts/tree1/leaves.146.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.146 +v 0.102087 0.157067 1.337473 +v 0.194533 0.225492 1.328966 +v 0.145081 0.166189 1.356900 +v 0.120724 0.193562 1.312374 +v 0.151539 0.216370 1.309539 +v 0.175896 0.188997 1.354065 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4231 -0.6501 -0.6311 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.147.obj b/data/sceneparts/tree1/leaves.147.obj new file mode 100644 index 000000000..ec4d0d691 --- /dev/null +++ b/data/sceneparts/tree1/leaves.147.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.147 +v 0.116001 0.193350 1.351503 +v 0.102744 0.210649 1.390451 +v 0.065053 0.276772 1.395307 +v 0.095293 0.231666 1.341757 +v 0.078310 0.259474 1.356359 +v 0.085762 0.238456 1.405053 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.8686 -0.4893 -0.0783 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.148.obj b/data/sceneparts/tree1/leaves.148.obj new file mode 100644 index 000000000..976f13200 --- /dev/null +++ b/data/sceneparts/tree1/leaves.148.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.148 +v 0.123700 0.228926 1.362787 +v 0.152870 0.314461 1.358084 +v 0.112052 0.264784 1.362272 +v 0.154795 0.250091 1.360166 +v 0.164518 0.278603 1.358599 +v 0.121775 0.293296 1.360705 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0609 0.0341 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.149.obj b/data/sceneparts/tree1/leaves.149.obj new file mode 100644 index 000000000..b37875455 --- /dev/null +++ b/data/sceneparts/tree1/leaves.149.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.149 +v 0.130625 0.271539 1.367763 +v 0.107927 0.304312 1.376058 +v 0.039171 0.300691 1.386127 +v 0.092355 0.258200 1.371711 +v 0.061870 0.267917 1.377832 +v 0.077442 0.314030 1.382180 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1508 -0.1431 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.150.obj b/data/sceneparts/tree1/leaves.150.obj new file mode 100644 index 000000000..cb598d6d5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.150.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.150 +v 0.133678 0.309173 1.364864 +v 0.122328 0.397517 1.376837 +v 0.109525 0.337276 1.359472 +v 0.150265 0.339966 1.378238 +v 0.146482 0.369414 1.382229 +v 0.105741 0.366724 1.363463 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4026 -0.1735 0.8988 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.151.obj b/data/sceneparts/tree1/leaves.151.obj new file mode 100644 index 000000000..e1e37c06e --- /dev/null +++ b/data/sceneparts/tree1/leaves.151.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.151 +v 0.136388 0.350222 1.360445 +v 0.159601 0.327068 1.361217 +v 0.214235 0.339202 1.364135 +v 0.165073 0.366030 1.362133 +v 0.191022 0.362356 1.363363 +v 0.185550 0.323395 1.362447 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0497 -0.0165 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.152.obj b/data/sceneparts/tree1/leaves.152.obj new file mode 100644 index 000000000..89c006c61 --- /dev/null +++ b/data/sceneparts/tree1/leaves.152.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.152 +v 0.102087 0.157067 1.337473 +v 0.120072 0.143721 1.297108 +v 0.178023 0.183431 1.261233 +v 0.134725 0.187989 1.327010 +v 0.160037 0.196777 1.301597 +v 0.145384 0.152509 1.271695 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6784 -0.5520 0.4848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.153.obj b/data/sceneparts/tree1/leaves.153.obj new file mode 100644 index 000000000..d4061d06d --- /dev/null +++ b/data/sceneparts/tree1/leaves.153.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.153 +v 0.131312 0.158436 1.362841 +v 0.160868 0.131949 1.372562 +v 0.178568 0.117958 1.438640 +v 0.133260 0.157938 1.403653 +v 0.149012 0.144446 1.428919 +v 0.176620 0.118456 1.397828 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6714 -0.7407 0.0230 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.154.obj b/data/sceneparts/tree1/leaves.154.obj new file mode 100644 index 000000000..1f2769dcc --- /dev/null +++ b/data/sceneparts/tree1/leaves.154.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.154 +v 0.160592 0.160011 1.390562 +v 0.238867 0.191516 1.421574 +v 0.197266 0.152614 1.392372 +v 0.176101 0.188412 1.409427 +v 0.202193 0.198913 1.419765 +v 0.223358 0.163116 1.402709 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1418 0.4928 -0.8585 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.155.obj b/data/sceneparts/tree1/leaves.155.obj new file mode 100644 index 000000000..f7c5e9822 --- /dev/null +++ b/data/sceneparts/tree1/leaves.155.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.155 +v 0.186449 0.162278 1.424963 +v 0.182841 0.138507 1.454760 +v 0.167162 0.159360 1.514760 +v 0.177199 0.184104 1.455030 +v 0.170770 0.183131 1.484962 +v 0.176412 0.137534 1.484693 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9700 -0.1188 -0.2122 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.156.obj b/data/sceneparts/tree1/leaves.156.obj new file mode 100644 index 000000000..e81199a84 --- /dev/null +++ b/data/sceneparts/tree1/leaves.156.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.156 +v 0.204446 0.164650 1.457894 +v 0.191074 0.242432 1.455786 +v 0.180560 0.187213 1.456303 +v 0.219418 0.193941 1.458080 +v 0.214961 0.219869 1.457377 +v 0.176103 0.213141 1.455600 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0489 0.0187 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.157.obj b/data/sceneparts/tree1/leaves.157.obj new file mode 100644 index 000000000..90d517d04 --- /dev/null +++ b/data/sceneparts/tree1/leaves.157.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.157 +v 0.217355 0.166314 1.481099 +v 0.233304 0.154186 1.455368 +v 0.281754 0.175133 1.437499 +v 0.244340 0.184321 1.477764 +v 0.265806 0.187261 1.463230 +v 0.254770 0.157126 1.440834 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4935 -0.6279 0.6018 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.158.obj b/data/sceneparts/tree1/leaves.158.obj new file mode 100644 index 000000000..499864825 --- /dev/null +++ b/data/sceneparts/tree1/leaves.158.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.158 +v -0.041421 0.024875 1.360130 +v -0.065890 0.145062 1.435682 +v -0.046516 0.046289 1.415971 +v -0.052639 0.083586 1.354657 +v -0.060795 0.123648 1.379840 +v -0.054672 0.086352 1.441155 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.9818 0.1892 0.0170 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.159.obj b/data/sceneparts/tree1/leaves.159.obj new file mode 100644 index 000000000..c2a9a30a9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.159.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.159 +v -0.073251 0.046171 1.376297 +v -0.115900 0.087510 1.378305 +v -0.197307 0.079203 1.438445 +v -0.113306 0.026854 1.415721 +v -0.154658 0.037864 1.436437 +v -0.157252 0.098520 1.399021 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4921 0.4722 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.160.obj b/data/sceneparts/tree1/leaves.160.obj new file mode 100644 index 000000000..9cf5c57a7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.160.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.160 +v -0.109053 0.067761 1.388202 +v -0.214975 0.147077 1.367898 +v -0.164203 0.071367 1.395756 +v -0.124517 0.117032 1.367113 +v -0.159825 0.143471 1.360344 +v -0.199511 0.097806 1.388987 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1500 0.4285 0.8910 +vn 0.1501 0.4285 0.8910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 4/5/2 5/6/2 2/2/2 diff --git a/data/sceneparts/tree1/leaves.161.obj b/data/sceneparts/tree1/leaves.161.obj new file mode 100644 index 000000000..f24f5da4a --- /dev/null +++ b/data/sceneparts/tree1/leaves.161.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.161 +v -0.141755 0.084070 1.401266 +v -0.193810 0.070472 1.394409 +v -0.260988 0.133562 1.384587 +v -0.169189 0.130663 1.397004 +v -0.208933 0.147161 1.391444 +v -0.233555 0.086969 1.388849 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1337 -0.0120 -0.9910 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.162.obj b/data/sceneparts/tree1/leaves.162.obj new file mode 100644 index 000000000..78020e021 --- /dev/null +++ b/data/sceneparts/tree1/leaves.162.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.162 +v -0.166000 0.090525 1.435011 +v -0.268143 0.158042 1.441530 +v -0.216995 0.087526 1.435800 +v -0.183101 0.138536 1.438568 +v -0.217148 0.161041 1.440741 +v -0.251043 0.110031 1.437973 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0194 -0.0670 0.9976 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.163.obj b/data/sceneparts/tree1/leaves.163.obj new file mode 100644 index 000000000..2f6e007c3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.163.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.163 +v -0.177083 0.085420 1.473307 +v -0.219644 0.086931 1.487047 +v -0.240738 0.121315 1.552007 +v -0.176959 0.107839 1.512035 +v -0.198177 0.119804 1.538268 +v -0.240862 0.098896 1.513280 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1298 0.8583 -0.4965 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.164.obj b/data/sceneparts/tree1/leaves.164.obj new file mode 100644 index 000000000..ee03e68f3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.164.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.164 +v -0.204705 0.071945 1.502799 +v -0.259221 0.003055 1.508804 +v -0.236358 0.058373 1.490148 +v -0.209396 0.039591 1.519453 +v -0.227568 0.016627 1.521455 +v -0.254529 0.035409 1.492150 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4916 -0.4538 -0.7432 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.165.obj b/data/sceneparts/tree1/leaves.165.obj new file mode 100644 index 000000000..724263f9f --- /dev/null +++ b/data/sceneparts/tree1/leaves.165.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.165 +v -0.236701 0.053716 1.515001 +v -0.267213 0.061452 1.492227 +v -0.307311 0.013985 1.468847 +v -0.253263 0.019492 1.507006 +v -0.276800 0.006248 1.491621 +v -0.290749 0.048208 1.476842 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5806 0.0919 0.8090 +vn -0.5805 0.0919 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.166.obj b/data/sceneparts/tree1/leaves.166.obj new file mode 100644 index 000000000..b7ce7ef9f --- /dev/null +++ b/data/sceneparts/tree1/leaves.166.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.166 +v -0.257710 0.041787 1.523207 +v -0.326952 0.021265 1.503143 +v -0.287307 0.051671 1.521901 +v -0.274274 0.018221 1.511138 +v -0.297355 0.011381 1.504450 +v -0.310387 0.044830 1.515213 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1603 0.3584 -0.9197 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.167.obj b/data/sceneparts/tree1/leaves.167.obj new file mode 100644 index 000000000..5231ab5c5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.167.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.167 +v -0.153997 0.113354 1.421073 +v -0.155732 0.132013 1.468019 +v -0.216807 0.187370 1.493831 +v -0.194135 0.144039 1.422633 +v -0.215072 0.168711 1.446886 +v -0.176669 0.156685 1.492272 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5754 -0.7671 0.2836 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.168.obj b/data/sceneparts/tree1/leaves.168.obj new file mode 100644 index 000000000..41eaf983f --- /dev/null +++ b/data/sceneparts/tree1/leaves.168.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.168 +v -0.158641 0.150858 1.435846 +v -0.082997 0.232156 1.461436 +v -0.129211 0.166005 1.469891 +v -0.137641 0.189910 1.418861 +v -0.112426 0.217009 1.427391 +v -0.103997 0.193104 1.478420 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7331 -0.5613 -0.3840 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.169.obj b/data/sceneparts/tree1/leaves.169.obj new file mode 100644 index 000000000..827a978e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.169.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.169 +v -0.158606 0.184367 1.460701 +v -0.116899 0.191161 1.466162 +v -0.087955 0.257947 1.467857 +v -0.153212 0.226626 1.460011 +v -0.129662 0.251153 1.462396 +v -0.093349 0.215688 1.468547 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1351 0.0334 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.170.obj b/data/sceneparts/tree1/leaves.170.obj new file mode 100644 index 000000000..7864c0713 --- /dev/null +++ b/data/sceneparts/tree1/leaves.170.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.170 +v -0.150597 0.203688 1.497293 +v -0.138717 0.241645 1.495784 +v -0.073384 0.259801 1.501034 +v -0.111002 0.203140 1.501296 +v -0.085264 0.221844 1.502543 +v -0.112980 0.260349 1.497031 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0994 0.0706 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.171.obj b/data/sceneparts/tree1/leaves.171.obj new file mode 100644 index 000000000..e2bdedc5d --- /dev/null +++ b/data/sceneparts/tree1/leaves.171.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.171 +v -0.138400 0.207356 1.533991 +v -0.107233 0.207035 1.541535 +v -0.133687 0.180952 1.551570 +v -0.084582 0.167270 1.571676 +v -0.089294 0.193674 1.554097 +v -0.115748 0.167590 1.564132 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1961 -0.5189 -0.8320 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.172.obj b/data/sceneparts/tree1/leaves.172.obj new file mode 100644 index 000000000..993c4cda7 --- /dev/null +++ b/data/sceneparts/tree1/leaves.172.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.172 +v -0.124681 0.211196 1.575053 +v -0.145331 0.216889 1.598951 +v -0.145829 0.264049 1.626934 +v -0.118131 0.240738 1.585742 +v -0.125180 0.258356 1.603036 +v -0.152380 0.234507 1.616244 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6525 0.3816 -0.6547 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.173.obj b/data/sceneparts/tree1/leaves.173.obj new file mode 100644 index 000000000..73aa1abbd --- /dev/null +++ b/data/sceneparts/tree1/leaves.173.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.173 +v -0.034944 -0.026753 1.431923 +v -0.097927 -0.029867 1.430905 +v -0.151787 -0.121484 1.448792 +v -0.049857 -0.086792 1.444188 +v -0.088804 -0.118369 1.449811 +v -0.136874 -0.061444 1.436528 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0260 0.2063 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.174.obj b/data/sceneparts/tree1/leaves.174.obj new file mode 100644 index 000000000..f9b8b7684 --- /dev/null +++ b/data/sceneparts/tree1/leaves.174.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.174 +v -0.063960 -0.051376 1.450783 +v -0.102565 -0.057215 1.419214 +v -0.125705 -0.133794 1.388205 +v -0.066518 -0.100483 1.440633 +v -0.087100 -0.127956 1.419774 +v -0.123147 -0.084687 1.398355 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6161 -0.1285 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.175.obj b/data/sceneparts/tree1/leaves.175.obj new file mode 100644 index 000000000..b30bee48f --- /dev/null +++ b/data/sceneparts/tree1/leaves.175.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.175 +v -0.098045 -0.059444 1.473017 +v -0.109749 -0.079588 1.515268 +v -0.152864 -0.039620 1.573069 +v -0.122888 -0.026085 1.497468 +v -0.141161 -0.019477 1.530818 +v -0.128022 -0.072980 1.548618 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.8511 0.3416 0.3986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.176.obj b/data/sceneparts/tree1/leaves.176.obj new file mode 100644 index 000000000..aa57c5eb8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.176.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.176 +v -0.127446 -0.056771 1.502731 +v -0.176278 -0.059684 1.510007 +v -0.219359 -0.001410 1.553489 +v -0.139889 -0.016951 1.529294 +v -0.170526 0.001503 1.546213 +v -0.206916 -0.041230 1.526926 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1563 0.5138 -0.8435 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.177.obj b/data/sceneparts/tree1/leaves.177.obj new file mode 100644 index 000000000..374bb7d9e --- /dev/null +++ b/data/sceneparts/tree1/leaves.177.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.177 +v -0.138557 -0.050571 1.541480 +v -0.103197 -0.021787 1.549152 +v -0.098515 0.049679 1.515793 +v -0.147222 -0.012522 1.516684 +v -0.133875 0.020895 1.508121 +v -0.089849 0.011630 1.540590 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4900 0.3949 0.7771 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.178.obj b/data/sceneparts/tree1/leaves.178.obj new file mode 100644 index 000000000..e38a18c09 --- /dev/null +++ b/data/sceneparts/tree1/leaves.178.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.178 +v -0.150723 -0.038971 1.579554 +v -0.177671 -0.007252 1.580798 +v -0.248173 -0.016861 1.580860 +v -0.188742 -0.055950 1.579181 +v -0.221225 -0.048580 1.579616 +v -0.210155 0.000118 1.581233 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0056 -0.0345 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.179.obj b/data/sceneparts/tree1/leaves.179.obj new file mode 100644 index 000000000..d6fd9f739 --- /dev/null +++ b/data/sceneparts/tree1/leaves.179.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.179 +v -0.178412 -0.025119 1.605251 +v -0.234490 -0.084165 1.602618 +v -0.211843 -0.030766 1.603535 +v -0.182367 -0.058835 1.605212 +v -0.201059 -0.078517 1.604334 +v -0.230535 -0.050448 1.602657 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0521 0.0050 0.9986 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.180.obj b/data/sceneparts/tree1/leaves.180.obj new file mode 100644 index 000000000..f04e82b2a --- /dev/null +++ b/data/sceneparts/tree1/leaves.180.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.180 +v -0.208627 -0.010811 1.625572 +v -0.207816 -0.003625 1.656113 +v -0.243552 -0.022748 1.691235 +v -0.232721 -0.025956 1.638806 +v -0.244363 -0.029935 1.660694 +v -0.219458 -0.007604 1.678000 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.5897 -0.7895 0.1701 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.181.obj b/data/sceneparts/tree1/leaves.181.obj new file mode 100644 index 000000000..18f9f5b64 --- /dev/null +++ b/data/sceneparts/tree1/leaves.181.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.181 +v -0.063386 -0.051761 1.450371 +v -0.114546 -0.065407 1.447663 +v -0.142712 -0.151066 1.456459 +v -0.065109 -0.104318 1.457139 +v -0.091551 -0.137419 1.459168 +v -0.140988 -0.098509 1.449692 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0870 0.1300 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.182.obj b/data/sceneparts/tree1/leaves.182.obj new file mode 100644 index 000000000..6b3ae641a --- /dev/null +++ b/data/sceneparts/tree1/leaves.182.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.182 +v -0.064751 -0.091120 1.450750 +v -0.027540 -0.111063 1.471011 +v 0.044950 -0.077174 1.470809 +v -0.028828 -0.061879 1.443862 +v 0.007739 -0.057231 1.450549 +v 0.009027 -0.106415 1.477697 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2162 0.4675 0.8572 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.183.obj b/data/sceneparts/tree1/leaves.183.obj new file mode 100644 index 000000000..eaa4350ca --- /dev/null +++ b/data/sceneparts/tree1/leaves.183.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.183 +v -0.067702 -0.133809 1.453613 +v -0.035522 -0.172850 1.459080 +v -0.047794 -0.235762 1.517844 +v -0.086610 -0.162737 1.490967 +v -0.079974 -0.196721 1.512377 +v -0.028886 -0.206835 1.480490 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.5230 0.5251 0.6714 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.184.obj b/data/sceneparts/tree1/leaves.184.obj new file mode 100644 index 000000000..a1986337d --- /dev/null +++ b/data/sceneparts/tree1/leaves.184.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.184 +v -0.074312 -0.173059 1.464815 +v -0.128093 -0.222493 1.532087 +v -0.103176 -0.168326 1.494082 +v -0.081302 -0.210748 1.480396 +v -0.099229 -0.227226 1.502820 +v -0.121103 -0.184804 1.516506 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7160 0.1492 0.6820 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.185.obj b/data/sceneparts/tree1/leaves.185.obj new file mode 100644 index 000000000..96b043c1c --- /dev/null +++ b/data/sceneparts/tree1/leaves.185.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.185 +v -0.081060 -0.212699 1.472032 +v -0.080548 -0.245594 1.447345 +v -0.027981 -0.258428 1.402491 +v -0.046187 -0.210290 1.450357 +v -0.028494 -0.225533 1.427177 +v -0.062855 -0.260837 1.424165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4756 -0.5232 0.7071 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.186.obj b/data/sceneparts/tree1/leaves.186.obj new file mode 100644 index 000000000..1de70c850 --- /dev/null +++ b/data/sceneparts/tree1/leaves.186.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.186 +v -0.084171 -0.252449 1.463636 +v -0.113137 -0.260699 1.444228 +v -0.123873 -0.317279 1.423448 +v -0.081674 -0.287420 1.456252 +v -0.094907 -0.309030 1.442856 +v -0.126371 -0.282309 1.430832 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5013 -0.2129 0.8387 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.187.obj b/data/sceneparts/tree1/leaves.187.obj new file mode 100644 index 000000000..c03d97209 --- /dev/null +++ b/data/sceneparts/tree1/leaves.187.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.187 +v -0.085977 -0.291454 1.449291 +v -0.101204 -0.304316 1.428921 +v -0.081537 -0.335844 1.397444 +v -0.067790 -0.308185 1.435096 +v -0.066310 -0.322982 1.417814 +v -0.099724 -0.319112 1.411639 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2030 0.7523 -0.6267 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.188.obj b/data/sceneparts/tree1/leaves.188.obj new file mode 100644 index 000000000..02a26aaab --- /dev/null +++ b/data/sceneparts/tree1/leaves.188.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.188 +v 0.034194 0.000842 1.515889 +v 0.076526 0.038697 1.500634 +v 0.077588 -0.031419 1.492785 +v 0.162784 0.009232 1.458350 +v 0.120452 -0.028623 1.473605 +v 0.119389 0.041494 1.481454 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4118 -0.0952 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.189.obj b/data/sceneparts/tree1/leaves.189.obj new file mode 100644 index 000000000..74a8f6983 --- /dev/null +++ b/data/sceneparts/tree1/leaves.189.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.189 +v 0.081914 0.003826 1.536907 +v 0.123324 -0.017961 1.517862 +v 0.175071 -0.068536 1.564945 +v 0.102609 -0.022629 1.574644 +v 0.133661 -0.046749 1.583990 +v 0.154376 -0.042082 1.527208 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5412 -0.7987 -0.2631 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.190.obj b/data/sceneparts/tree1/leaves.190.obj new file mode 100644 index 000000000..d52fce5e8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.190.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.190 +v 0.130226 0.017764 1.551439 +v 0.169881 0.033992 1.520833 +v 0.196756 0.119810 1.517812 +v 0.134923 0.069567 1.559627 +v 0.157100 0.103582 1.548418 +v 0.192058 0.068007 1.509624 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.6456 -0.1760 0.7431 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.191.obj b/data/sceneparts/tree1/leaves.191.obj new file mode 100644 index 000000000..eec764074 --- /dev/null +++ b/data/sceneparts/tree1/leaves.191.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.191 +v 0.177100 0.025950 1.563153 +v 0.296821 -0.013973 1.578727 +v 0.216632 0.000119 1.539128 +v 0.217383 0.025165 1.597561 +v 0.257289 0.011858 1.602753 +v 0.256539 -0.013189 1.544319 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3368 -0.8639 0.3746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.192.obj b/data/sceneparts/tree1/leaves.192.obj new file mode 100644 index 000000000..05aa2c377 --- /dev/null +++ b/data/sceneparts/tree1/leaves.192.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.192 +v 0.220842 0.005745 1.581814 +v 0.214302 0.046102 1.575467 +v 0.150541 0.072332 1.559826 +v 0.180514 0.009780 1.573502 +v 0.157081 0.031975 1.566173 +v 0.190869 0.068297 1.568138 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1886 0.1227 0.9744 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.193.obj b/data/sceneparts/tree1/leaves.193.obj new file mode 100644 index 000000000..eb2acb037 --- /dev/null +++ b/data/sceneparts/tree1/leaves.193.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.193 +v 0.258679 -0.024835 1.593576 +v 0.291486 -0.004118 1.599016 +v 0.269213 -0.030564 1.630876 +v 0.323691 -0.002353 1.657685 +v 0.313157 0.003376 1.620386 +v 0.290884 -0.023070 1.652245 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5455 0.7915 0.2756 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.194.obj b/data/sceneparts/tree1/leaves.194.obj new file mode 100644 index 000000000..7524cd995 --- /dev/null +++ b/data/sceneparts/tree1/leaves.194.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.194 +v 0.306084 -0.042374 1.583724 +v 0.291519 -0.075637 1.584120 +v 0.326019 -0.127205 1.585197 +v 0.333939 -0.065665 1.584310 +v 0.340584 -0.093942 1.584801 +v 0.298164 -0.103914 1.584611 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0081 0.0155 0.9998 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.195.obj b/data/sceneparts/tree1/leaves.195.obj new file mode 100644 index 000000000..5442462bb --- /dev/null +++ b/data/sceneparts/tree1/leaves.195.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.195 +v 0.349694 -0.051529 1.561541 +v 0.328524 -0.025232 1.579384 +v 0.349064 0.035996 1.588698 +v 0.370444 -0.019476 1.561803 +v 0.370234 0.009699 1.570855 +v 0.328314 0.003943 1.588436 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4037 -0.2685 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.196.obj b/data/sceneparts/tree1/leaves.196.obj new file mode 100644 index 000000000..7d5494e55 --- /dev/null +++ b/data/sceneparts/tree1/leaves.196.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.196 +v 0.360794 -0.054328 1.556812 +v 0.387688 -0.041123 1.566794 +v 0.378414 -0.077831 1.568406 +v 0.427564 -0.069776 1.589175 +v 0.400670 -0.082980 1.579193 +v 0.409944 -0.046273 1.577581 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4049 0.1420 0.9033 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.197.obj b/data/sceneparts/tree1/leaves.197.obj new file mode 100644 index 000000000..13903a76a --- /dev/null +++ b/data/sceneparts/tree1/leaves.197.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.197 +v 0.207399 0.047173 1.594617 +v 0.252975 0.054980 1.590567 +v 0.287565 0.121010 1.617674 +v 0.215267 0.088591 1.614038 +v 0.241989 0.113203 1.621724 +v 0.279697 0.079592 1.598253 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1544 -0.4434 0.8829 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.198.obj b/data/sceneparts/tree1/leaves.198.obj new file mode 100644 index 000000000..59a4d4187 --- /dev/null +++ b/data/sceneparts/tree1/leaves.198.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.198 +v 0.235006 0.070209 1.629427 +v 0.275154 0.055889 1.641547 +v 0.337796 0.097384 1.632137 +v 0.263384 0.102646 1.619114 +v 0.297648 0.111704 1.620017 +v 0.309417 0.064948 1.642450 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1302 0.4021 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.199.obj b/data/sceneparts/tree1/leaves.199.obj new file mode 100644 index 000000000..aa5122b29 --- /dev/null +++ b/data/sceneparts/tree1/leaves.199.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.199 +v 0.263195 0.076012 1.675447 +v 0.259924 0.097887 1.706177 +v 0.252817 0.053078 1.703729 +v 0.242721 0.074423 1.763966 +v 0.245993 0.052548 1.733235 +v 0.253099 0.097357 1.735684 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9616 0.1645 -0.2195 +vn -0.9617 0.1645 -0.2195 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/2 3/5/2 5/6/2 4/2/2 diff --git a/data/sceneparts/tree1/leaves.200.obj b/data/sceneparts/tree1/leaves.200.obj new file mode 100644 index 000000000..8bd03bdd8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.200.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.200 +v 0.282272 0.062150 1.717103 +v 0.268516 0.040957 1.737316 +v 0.303891 0.038481 1.721500 +v 0.294068 -0.005145 1.754018 +v 0.307823 0.016049 1.733805 +v 0.272448 0.018525 1.749621 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3833 -0.4950 -0.7798 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.201.obj b/data/sceneparts/tree1/leaves.201.obj new file mode 100644 index 000000000..a45a647ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.201.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.201 +v 0.301765 0.043456 1.762348 +v 0.292831 0.015262 1.752719 +v 0.327510 -0.022729 1.739346 +v 0.327863 0.027526 1.756642 +v 0.336444 0.005465 1.748974 +v 0.301412 -0.006799 1.745052 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0081 -0.3255 0.9455 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.202.obj b/data/sceneparts/tree1/leaves.202.obj new file mode 100644 index 000000000..84cc763e3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.202.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.202 +v -0.036032 0.046349 1.607623 +v -0.037426 0.107218 1.610752 +v -0.125273 0.161984 1.599067 +v -0.094132 0.062570 1.598790 +v -0.123879 0.101115 1.595938 +v -0.067173 0.145763 1.607900 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1649 -0.0544 0.9848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.203.obj b/data/sceneparts/tree1/leaves.203.obj new file mode 100644 index 000000000..a57bf9882 --- /dev/null +++ b/data/sceneparts/tree1/leaves.203.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.203 +v -0.090327 0.060612 1.634735 +v -0.117049 0.027311 1.613449 +v -0.188902 0.044210 1.578840 +v -0.129322 0.082978 1.618758 +v -0.162180 0.077510 1.600126 +v -0.149908 0.021844 1.594818 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4614 0.1845 -0.8678 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.204.obj b/data/sceneparts/tree1/leaves.204.obj new file mode 100644 index 000000000..6d8677179 --- /dev/null +++ b/data/sceneparts/tree1/leaves.204.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.204 +v -0.148368 0.053788 1.662952 +v -0.187557 0.036350 1.680702 +v -0.165656 0.086534 1.690948 +v -0.233083 0.076750 1.731571 +v -0.193894 0.094188 1.713821 +v -0.215795 0.044004 1.703575 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.5170 -0.3820 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.205.obj b/data/sceneparts/tree1/leaves.205.obj new file mode 100644 index 000000000..2fb260d29 --- /dev/null +++ b/data/sceneparts/tree1/leaves.205.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.205 +v -0.187238 0.070536 1.708864 +v -0.228412 0.082027 1.725102 +v -0.267889 0.037024 1.775321 +v -0.199831 0.036704 1.736932 +v -0.226715 0.025533 1.759084 +v -0.255295 0.070856 1.747254 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4343 0.4738 0.7660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.206.obj b/data/sceneparts/tree1/leaves.206.obj new file mode 100644 index 000000000..b5b9778a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.206.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.206 +v -0.213315 0.038437 1.754980 +v -0.194841 0.019305 1.777921 +v -0.198410 -0.040558 1.780343 +v -0.221852 0.004905 1.748947 +v -0.216884 -0.021426 1.757402 +v -0.189873 -0.007027 1.786376 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7470 -0.0713 -0.6610 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.207.obj b/data/sceneparts/tree1/leaves.207.obj new file mode 100644 index 000000000..0cb56ff07 --- /dev/null +++ b/data/sceneparts/tree1/leaves.207.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.207 +v -0.223086 0.010199 1.778610 +v -0.252920 -0.050365 1.784707 +v -0.217987 -0.017581 1.778842 +v -0.248075 -0.002398 1.782442 +v -0.258020 -0.022586 1.784474 +v -0.227932 -0.037769 1.780875 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1352 0.0331 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.208.obj b/data/sceneparts/tree1/leaves.208.obj new file mode 100644 index 000000000..6537d2da4 --- /dev/null +++ b/data/sceneparts/tree1/leaves.208.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.208 +v -0.066926 0.095219 1.617849 +v -0.025579 0.065142 1.620245 +v 0.054196 0.092856 1.597477 +v -0.027526 0.123721 1.601871 +v 0.012848 0.122933 1.595081 +v 0.014796 0.064354 1.613455 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1639 0.3002 0.9397 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.209.obj b/data/sceneparts/tree1/leaves.209.obj new file mode 100644 index 000000000..1a30de838 --- /dev/null +++ b/data/sceneparts/tree1/leaves.209.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.209 +v -0.081095 0.158996 1.619170 +v -0.061781 0.200194 1.613604 +v -0.103740 0.266188 1.609162 +v -0.115506 0.189260 1.618065 +v -0.123054 0.224991 1.614729 +v -0.069330 0.235924 1.610268 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.0609 0.1055 0.9925 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.210.obj b/data/sceneparts/tree1/leaves.210.obj new file mode 100644 index 000000000..b34829b56 --- /dev/null +++ b/data/sceneparts/tree1/leaves.210.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.210 +v -0.067562 0.215693 1.640777 +v -0.030350 0.237139 1.634350 +v 0.013603 0.258513 1.690192 +v -0.050664 0.222793 1.680147 +v -0.023609 0.237066 1.696619 +v -0.003295 0.251412 1.650822 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.4916 -0.8692 -0.0542 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.211.obj b/data/sceneparts/tree1/leaves.211.obj new file mode 100644 index 000000000..6818f4d72 --- /dev/null +++ b/data/sceneparts/tree1/leaves.211.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.211 +v -0.072021 0.278556 1.655748 +v -0.099287 0.259353 1.657123 +v -0.097109 0.203798 1.669845 +v -0.061481 0.247920 1.663771 +v -0.069844 0.223001 1.668470 +v -0.107649 0.234434 1.661822 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1047 0.2181 0.9703 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.212.obj b/data/sceneparts/tree1/leaves.212.obj new file mode 100644 index 000000000..5cfc49675 --- /dev/null +++ b/data/sceneparts/tree1/leaves.212.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.212 +v -0.095548 0.337146 1.659489 +v -0.125944 0.350641 1.665306 +v -0.089959 0.367292 1.673625 +v -0.132757 0.402607 1.689419 +v -0.102362 0.389112 1.683602 +v -0.138346 0.372461 1.675283 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0141 -0.4224 0.9063 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.213.obj b/data/sceneparts/tree1/leaves.213.obj new file mode 100644 index 000000000..8b3b59649 --- /dev/null +++ b/data/sceneparts/tree1/leaves.213.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.213 +v -0.229772 0.099561 1.735844 +v -0.224511 0.133853 1.748460 +v -0.267563 0.179474 1.741789 +v -0.260227 0.118545 1.727190 +v -0.272824 0.145182 1.729172 +v -0.237108 0.160490 1.750442 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4099 -0.2589 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.214.obj b/data/sceneparts/tree1/leaves.214.obj new file mode 100644 index 000000000..3322228a9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.214.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.214 +v -0.266516 0.131408 1.753441 +v -0.285689 0.152177 1.755135 +v -0.332843 0.143622 1.761817 +v -0.291562 0.118781 1.757332 +v -0.313671 0.122852 1.760123 +v -0.307798 0.156249 1.757927 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1327 0.0418 0.9903 +vn 0.1328 0.0418 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.215.obj b/data/sceneparts/tree1/leaves.215.obj new file mode 100644 index 000000000..7033fa517 --- /dev/null +++ b/data/sceneparts/tree1/leaves.215.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.215 +v -0.004974 -0.024281 1.684559 +v -0.039148 -0.096273 1.800296 +v 0.012140 -0.035709 1.739373 +v -0.044871 -0.060847 1.706903 +v -0.056262 -0.084845 1.745482 +v 0.000748 -0.059707 1.777952 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5315 0.7807 0.3287 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.216.obj b/data/sceneparts/tree1/leaves.216.obj new file mode 100644 index 000000000..dad383458 --- /dev/null +++ b/data/sceneparts/tree1/leaves.216.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.216 +v -0.003064 -0.046060 1.697868 +v 0.025491 -0.085366 1.724869 +v -0.029257 -0.094032 1.687771 +v 0.000479 -0.176977 1.723223 +v 0.026672 -0.129005 1.733320 +v -0.028076 -0.137671 1.696223 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5706 0.1412 0.8090 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.217.obj b/data/sceneparts/tree1/leaves.217.obj new file mode 100644 index 000000000..7dc7bbb76 --- /dev/null +++ b/data/sceneparts/tree1/leaves.217.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.217 +v -0.000725 -0.070999 1.711682 +v -0.023870 -0.122083 1.717322 +v 0.037913 -0.107901 1.693728 +v 0.022515 -0.202979 1.693210 +v 0.045660 -0.151894 1.687570 +v -0.016123 -0.166076 1.711165 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3690 -0.0648 0.9272 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.218.obj b/data/sceneparts/tree1/leaves.218.obj new file mode 100644 index 000000000..29feb58a8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.218.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.218 +v 0.002372 -0.096580 1.722167 +v -0.037153 -0.131334 1.720897 +v -0.024115 -0.219867 1.730120 +v 0.024238 -0.144017 1.728739 +v 0.015409 -0.185113 1.731390 +v -0.045981 -0.172430 1.723548 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1085 0.0872 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.219.obj b/data/sceneparts/tree1/leaves.219.obj new file mode 100644 index 000000000..418def784 --- /dev/null +++ b/data/sceneparts/tree1/leaves.219.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.219 +v 0.005366 -0.119894 1.730356 +v 0.046490 -0.218167 1.708321 +v -0.004514 -0.159969 1.711622 +v 0.042662 -0.145334 1.734399 +v 0.056370 -0.178092 1.727055 +v 0.009194 -0.192727 1.704278 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.3238 0.3340 -0.8852 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.220.obj b/data/sceneparts/tree1/leaves.220.obj new file mode 100644 index 000000000..7b156e100 --- /dev/null +++ b/data/sceneparts/tree1/leaves.220.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.220 +v 0.006900 -0.143513 1.744059 +v 0.032134 -0.181740 1.725029 +v -0.019807 -0.184111 1.753997 +v 0.004691 -0.261750 1.730421 +v 0.031398 -0.221152 1.720483 +v -0.020544 -0.223523 1.749451 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4880 -0.1090 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.221.obj b/data/sceneparts/tree1/leaves.221.obj new file mode 100644 index 000000000..97b3403a6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.221.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.221 +v 0.003509 -0.162407 1.764223 +v -0.014021 -0.204280 1.768339 +v -0.072236 -0.220735 1.817401 +v -0.029458 -0.159418 1.795559 +v -0.054706 -0.178861 1.813285 +v -0.039269 -0.223723 1.786065 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6640 0.2074 -0.7184 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.222.obj b/data/sceneparts/tree1/leaves.222.obj new file mode 100644 index 000000000..80ed141f1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.222.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.222 +v -0.001424 -0.175913 1.785496 +v 0.019050 -0.169827 1.819646 +v 0.058619 -0.218328 1.848276 +v 0.018131 -0.210275 1.793198 +v 0.038145 -0.224413 1.814125 +v 0.039064 -0.183965 1.840573 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7835 0.3275 -0.5281 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.223.obj b/data/sceneparts/tree1/leaves.223.obj new file mode 100644 index 000000000..52840a477 --- /dev/null +++ b/data/sceneparts/tree1/leaves.223.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.223 +v 0.001011 -0.193152 1.806235 +v 0.004932 -0.191550 1.841396 +v -0.020626 -0.231593 1.878887 +v -0.017334 -0.220381 1.819509 +v -0.024547 -0.233195 1.843726 +v -0.002281 -0.204364 1.865613 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.8128 0.5789 0.0643 +vn -0.8128 0.5790 0.0643 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/2 4/5/2 5/6/2 3/2/2 diff --git a/data/sceneparts/tree1/leaves.224.obj b/data/sceneparts/tree1/leaves.224.obj new file mode 100644 index 000000000..b333ec6d5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.224.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.224 +v 0.013452 -0.212426 1.820556 +v 0.070011 -0.175606 1.870190 +v 0.017750 -0.186575 1.843614 +v 0.046860 -0.213730 1.830587 +v 0.065713 -0.201457 1.847132 +v 0.036603 -0.174301 1.860159 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.2474 -0.6217 0.7431 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.225.obj b/data/sceneparts/tree1/leaves.225.obj new file mode 100644 index 000000000..5e320db9a --- /dev/null +++ b/data/sceneparts/tree1/leaves.225.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.225 +v 0.030655 -0.229086 1.828633 +v 0.036992 -0.256124 1.813702 +v 0.087299 -0.273179 1.804680 +v 0.062080 -0.231443 1.827596 +v 0.080962 -0.246141 1.819611 +v 0.055873 -0.270822 1.805717 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0075 -0.4848 0.8746 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.226.obj b/data/sceneparts/tree1/leaves.226.obj new file mode 100644 index 000000000..697b554b8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.226.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.226 +v 0.049711 -0.247826 1.837916 +v 0.065790 -0.269382 1.826495 +v 0.067190 -0.315222 1.846224 +v 0.045285 -0.271201 1.854876 +v 0.051112 -0.293666 1.857645 +v 0.071616 -0.291847 1.829264 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7719 -0.2711 -0.5751 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.227.obj b/data/sceneparts/tree1/leaves.227.obj new file mode 100644 index 000000000..80f0d1ebe --- /dev/null +++ b/data/sceneparts/tree1/leaves.227.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.227 +v 0.047899 0.031398 1.828453 +v 0.044459 0.067203 1.869187 +v 0.080820 0.072591 1.815324 +v 0.092121 0.146895 1.869859 +v 0.095561 0.111090 1.829126 +v 0.059199 0.105702 1.882989 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7577 0.4571 -0.4658 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.228.obj b/data/sceneparts/tree1/leaves.228.obj new file mode 100644 index 000000000..e1243aa9d --- /dev/null +++ b/data/sceneparts/tree1/leaves.228.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.228 +v 0.126490 0.047276 1.848956 +v 0.152229 -0.003251 1.847464 +v 0.248697 -0.012714 1.847965 +v 0.182222 0.057810 1.849787 +v 0.222958 0.037814 1.849457 +v 0.192965 -0.023248 1.847134 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.0085 -0.0338 0.9994 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.229.obj b/data/sceneparts/tree1/leaves.229.obj new file mode 100644 index 000000000..25b600370 --- /dev/null +++ b/data/sceneparts/tree1/leaves.229.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.229 +v 0.207586 0.037999 1.838447 +v 0.240276 0.073334 1.832147 +v 0.298663 0.070189 1.773297 +v 0.235613 0.024125 1.801314 +v 0.265972 0.034855 1.779597 +v 0.270636 0.084064 1.810430 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6185 0.4585 -0.6382 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.230.obj b/data/sceneparts/tree1/leaves.230.obj new file mode 100644 index 000000000..af33d24cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.230.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.230 +v 0.283893 0.020296 1.856367 +v 0.309683 -0.009727 1.860983 +v 0.376622 -0.002433 1.850880 +v 0.319923 0.035165 1.848092 +v 0.350833 0.027589 1.846263 +v 0.340592 -0.017303 1.859155 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1179 0.2491 0.9613 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.231.obj b/data/sceneparts/tree1/leaves.231.obj new file mode 100644 index 000000000..6074679b1 --- /dev/null +++ b/data/sceneparts/tree1/leaves.231.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.231 +v 0.366117 0.005206 1.854727 +v 0.424074 -0.043133 1.820897 +v 0.389032 -0.019511 1.861905 +v 0.381841 -0.002302 1.824996 +v 0.401160 -0.018416 1.813720 +v 0.408351 -0.035624 1.850628 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6919 -0.6966 -0.1900 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.232.obj b/data/sceneparts/tree1/leaves.232.obj new file mode 100644 index 000000000..5e23095ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.232.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.232 +v 0.441026 -0.002759 1.832104 +v 0.456217 -0.000594 1.802209 +v 0.466744 0.018490 1.836135 +v 0.502389 0.032363 1.793308 +v 0.476672 0.011114 1.789277 +v 0.487198 0.030198 1.823203 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.5941 0.7657 -0.2464 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.233.obj b/data/sceneparts/tree1/leaves.233.obj new file mode 100644 index 000000000..21d2ca2b0 --- /dev/null +++ b/data/sceneparts/tree1/leaves.233.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.233 +v 0.092991 0.074949 1.869531 +v 0.133774 0.087972 1.888962 +v 0.141535 0.102493 1.967597 +v 0.084571 0.080289 1.915477 +v 0.100752 0.089470 1.948165 +v 0.149956 0.097153 1.921651 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2331 -0.9601 0.1543 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.234.obj b/data/sceneparts/tree1/leaves.234.obj new file mode 100644 index 000000000..969b2be75 --- /dev/null +++ b/data/sceneparts/tree1/leaves.234.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.234 +v 0.115805 0.137095 1.919887 +v 0.120757 0.182653 1.921123 +v 0.186979 0.217257 1.944656 +v 0.158303 0.144978 1.935163 +v 0.182028 0.171699 1.943420 +v 0.144482 0.209374 1.929379 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3401 -0.0115 -0.9403 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.235.obj b/data/sceneparts/tree1/leaves.235.obj new file mode 100644 index 000000000..ac1eb767b --- /dev/null +++ b/data/sceneparts/tree1/leaves.235.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.235 +v 0.157471 0.176925 1.976196 +v 0.154002 0.172200 2.013399 +v 0.140677 0.220816 2.053409 +v 0.149744 0.210911 1.990468 +v 0.144146 0.225542 2.016206 +v 0.148404 0.186830 2.039137 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9781 -0.1748 -0.1134 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.236.obj b/data/sceneparts/tree1/leaves.236.obj new file mode 100644 index 000000000..859e2564f --- /dev/null +++ b/data/sceneparts/tree1/leaves.236.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.236 +v 0.209095 0.229577 2.016029 +v 0.236704 0.228196 2.034218 +v 0.232677 0.244466 1.998219 +v 0.285882 0.249840 2.016598 +v 0.262300 0.234951 2.034407 +v 0.258273 0.251221 1.998409 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.2342 -0.8758 -0.4220 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.237.obj b/data/sceneparts/tree1/leaves.237.obj new file mode 100644 index 000000000..82e2bfd3d --- /dev/null +++ b/data/sceneparts/tree1/leaves.237.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.237 +v 0.258739 0.291111 2.033032 +v 0.270831 0.365690 2.046082 +v 0.257681 0.313589 2.055708 +v 0.267858 0.318353 2.019056 +v 0.271889 0.343212 2.023406 +v 0.261712 0.338449 2.060059 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9511 0.1960 -0.2386 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.238.obj b/data/sceneparts/tree1/leaves.238.obj new file mode 100644 index 000000000..b04befa5f --- /dev/null +++ b/data/sceneparts/tree1/leaves.238.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.238 +v 0.341223 0.047347 1.868677 +v 0.376000 0.054652 1.866859 +v 0.407249 0.077064 1.913958 +v 0.350463 0.059853 1.900682 +v 0.372472 0.069759 1.915776 +v 0.398009 0.064558 1.881953 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2111 -0.9296 0.3023 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.239.obj b/data/sceneparts/tree1/leaves.239.obj new file mode 100644 index 000000000..1953401e5 --- /dev/null +++ b/data/sceneparts/tree1/leaves.239.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.239 +v 0.377276 0.119254 1.884840 +v 0.362974 0.116979 1.915420 +v 0.335387 0.161306 1.940259 +v 0.363651 0.149564 1.891206 +v 0.349689 0.163581 1.909679 +v 0.349011 0.130996 1.933893 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.8565 0.2962 0.4226 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.240.obj b/data/sceneparts/tree1/leaves.240.obj new file mode 100644 index 000000000..2a3aae6ea --- /dev/null +++ b/data/sceneparts/tree1/leaves.240.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.240 +v 0.000656 0.067751 1.929836 +v 0.014983 0.074703 1.980536 +v -0.032317 0.126710 2.038017 +v -0.035653 0.100106 1.951257 +v -0.046644 0.119759 1.987317 +v 0.003992 0.094356 2.016596 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5501 -0.7922 0.2641 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.241.obj b/data/sceneparts/tree1/leaves.241.obj new file mode 100644 index 000000000..7e94d8f21 --- /dev/null +++ b/data/sceneparts/tree1/leaves.241.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.241 +v -0.002186 0.144240 1.981246 +v 0.006272 0.189384 1.968613 +v 0.046853 0.241376 2.016322 +v 0.022048 0.163852 2.017263 +v 0.038394 0.196231 2.028955 +v 0.022619 0.221763 1.980305 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8601 -0.2804 -0.4261 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.242.obj b/data/sceneparts/tree1/leaves.242.obj new file mode 100644 index 000000000..b0982638a --- /dev/null +++ b/data/sceneparts/tree1/leaves.242.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.242 +v -0.002968 0.209975 2.032709 +v -0.014379 0.326546 2.070212 +v 0.016262 0.257078 2.026587 +v -0.029805 0.240586 2.063833 +v -0.033609 0.279443 2.076334 +v 0.012458 0.295935 2.039088 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.6559 0.1722 -0.7349 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.243.obj b/data/sceneparts/tree1/leaves.243.obj new file mode 100644 index 000000000..3b76248aa --- /dev/null +++ b/data/sceneparts/tree1/leaves.243.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.243 +v 0.051011 0.236054 2.090932 +v 0.079914 0.223487 2.185227 +v 0.068254 0.208828 2.116961 +v 0.053036 0.254902 2.127767 +v 0.062670 0.250713 2.159198 +v 0.077889 0.204639 2.148393 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.9065 -0.3535 0.2307 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.244.obj b/data/sceneparts/tree1/leaves.244.obj new file mode 100644 index 000000000..cc039467d --- /dev/null +++ b/data/sceneparts/tree1/leaves.244.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.244 +v 0.118906 0.253826 2.148967 +v 0.148485 0.233472 2.159845 +v 0.149029 0.275666 2.144150 +v 0.208460 0.256054 2.158058 +v 0.178337 0.234215 2.162875 +v 0.178880 0.276408 2.147180 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1033 -0.3479 -0.9318 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.245.obj b/data/sceneparts/tree1/leaves.245.obj new file mode 100644 index 000000000..447a3d82a --- /dev/null +++ b/data/sceneparts/tree1/leaves.245.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.245 +v 0.182567 0.272387 2.201537 +v 0.180379 0.284603 2.232490 +v 0.207560 0.331967 2.248771 +v 0.201416 0.299891 2.202075 +v 0.209747 0.319751 2.217819 +v 0.188710 0.304463 2.248234 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7913 0.5476 -0.2721 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.246.obj b/data/sceneparts/tree1/leaves.246.obj new file mode 100644 index 000000000..401e7b31f --- /dev/null +++ b/data/sceneparts/tree1/leaves.246.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.246 +v -0.002968 0.209975 2.032709 +v 0.024033 0.246800 2.033655 +v 0.044620 0.282113 2.100141 +v 0.001756 0.221242 2.076717 +v 0.017619 0.245288 2.099195 +v 0.039896 0.270846 2.056132 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.8039 -0.5911 0.0650 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.247.obj b/data/sceneparts/tree1/leaves.247.obj new file mode 100644 index 000000000..8695fd805 --- /dev/null +++ b/data/sceneparts/tree1/leaves.247.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.247 +v -0.025614 0.285847 2.066845 +v -0.053959 0.378519 2.089356 +v -0.014237 0.325611 2.064043 +v -0.055888 0.307864 2.084655 +v -0.065336 0.338755 2.092159 +v -0.023685 0.356502 2.071547 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.4667 0.0714 -0.8815 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.248.obj b/data/sceneparts/tree1/leaves.248.obj new file mode 100644 index 000000000..a73342222 --- /dev/null +++ b/data/sceneparts/tree1/leaves.248.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.248 +v 0.004995 0.310953 2.137906 +v 0.014644 0.315907 2.166021 +v 0.034300 0.361074 2.181031 +v 0.014882 0.339412 2.138541 +v 0.024650 0.356119 2.152916 +v 0.024413 0.332615 2.180396 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9142 0.3118 0.2588 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.249.obj b/data/sceneparts/tree1/leaves.249.obj new file mode 100644 index 000000000..f0ba39817 --- /dev/null +++ b/data/sceneparts/tree1/leaves.249.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.249 +v 0.099806 0.279144 2.104314 +v 0.113820 0.281316 2.073864 +v 0.167689 0.299448 2.065860 +v 0.131046 0.290509 2.109128 +v 0.153674 0.297277 2.096310 +v 0.136448 0.288084 2.061046 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.3291 -0.9405 0.0844 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.250.obj b/data/sceneparts/tree1/leaves.250.obj new file mode 100644 index 000000000..53dddc1cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.250.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.250 +v 0.127445 0.351564 2.071933 +v 0.122662 0.383011 2.079001 +v 0.114226 0.421609 2.039767 +v 0.123416 0.366814 2.043421 +v 0.119009 0.390162 2.032699 +v 0.118255 0.406359 2.068279 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9854 -0.1618 0.0527 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.251.obj b/data/sceneparts/tree1/leaves.251.obj new file mode 100644 index 000000000..6f0513bac --- /dev/null +++ b/data/sceneparts/tree1/leaves.251.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.251 +v -0.031311 -0.032815 2.015775 +v -0.034282 -0.031339 2.078620 +v -0.126373 -0.044561 2.132556 +v -0.091715 -0.042121 2.030784 +v -0.123402 -0.046036 2.069711 +v -0.065969 -0.035255 2.117547 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1596 0.9867 -0.0307 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.252.obj b/data/sceneparts/tree1/leaves.252.obj new file mode 100644 index 000000000..c15e01e22 --- /dev/null +++ b/data/sceneparts/tree1/leaves.252.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.252 +v -0.052695 -0.072931 2.053536 +v -0.097741 -0.037996 2.052258 +v -0.031947 -0.020408 2.045659 +v -0.089141 0.058256 2.039804 +v -0.109890 0.005733 2.047680 +v -0.044096 0.023321 2.041082 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.0667 0.1222 0.9903 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.253.obj b/data/sceneparts/tree1/leaves.253.obj new file mode 100644 index 000000000..e932ab0cb --- /dev/null +++ b/data/sceneparts/tree1/leaves.253.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.253 +v -0.065025 -0.118427 2.086243 +v -0.071329 -0.125688 2.134455 +v -0.032245 -0.187060 2.176442 +v -0.036867 -0.156922 2.098164 +v -0.025941 -0.179800 2.128231 +v -0.060403 -0.148566 2.164521 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.7626 0.6175 0.1927 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.254.obj b/data/sceneparts/tree1/leaves.254.obj new file mode 100644 index 000000000..d1c5f6951 --- /dev/null +++ b/data/sceneparts/tree1/leaves.254.obj @@ -0,0 +1,22 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.254 +v -0.076398 -0.158544 2.124110 +v -0.112879 -0.194309 2.130810 +v -0.099231 -0.267808 2.177328 +v -0.055140 -0.195622 2.152888 +v -0.062750 -0.232043 2.170627 +v -0.120490 -0.230730 2.148550 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3063 0.4678 0.8290 +vn -0.3064 0.4678 0.8290 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/2 3/4/2 5/5/2 4/6/2 diff --git a/data/sceneparts/tree1/leaves.255.obj b/data/sceneparts/tree1/leaves.255.obj new file mode 100644 index 000000000..08eb4065b --- /dev/null +++ b/data/sceneparts/tree1/leaves.255.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.255 +v -0.093881 -0.179858 2.173191 +v -0.130263 -0.206280 2.185780 +v -0.077357 -0.211249 2.203553 +v -0.123669 -0.266578 2.237618 +v -0.140193 -0.235187 2.207256 +v -0.087287 -0.240156 2.225029 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.1945 -0.6271 -0.7542 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 5/3/1 2/4/1 +f 1/1/1 3/5/1 6/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.256.obj b/data/sceneparts/tree1/leaves.256.obj new file mode 100644 index 000000000..6523c9f15 --- /dev/null +++ b/data/sceneparts/tree1/leaves.256.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.256 +v -0.111748 -0.193425 2.226120 +v -0.150184 -0.201512 2.213878 +v -0.171078 -0.265866 2.194788 +v -0.112864 -0.233632 2.217473 +v -0.132641 -0.257779 2.207029 +v -0.169961 -0.225659 2.203434 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.2599 -0.1961 0.9455 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.257.obj b/data/sceneparts/tree1/leaves.257.obj new file mode 100644 index 000000000..105e13f25 --- /dev/null +++ b/data/sceneparts/tree1/leaves.257.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.257 +v -0.126517 -0.211873 2.277684 +v -0.143319 -0.239504 2.284341 +v -0.191359 -0.239461 2.313925 +v -0.152944 -0.202634 2.295187 +v -0.174558 -0.211830 2.307268 +v -0.164932 -0.248700 2.296422 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.5209 0.1129 -0.8461 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.258.obj b/data/sceneparts/tree1/leaves.258.obj new file mode 100644 index 000000000..0553f29cf --- /dev/null +++ b/data/sceneparts/tree1/leaves.258.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.258 +v -0.140285 -0.230661 2.329422 +v -0.213891 -0.242211 2.313186 +v -0.159899 -0.247458 2.310911 +v -0.169741 -0.221564 2.337109 +v -0.194277 -0.225414 2.331697 +v -0.184435 -0.251308 2.305499 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0405 -0.7182 0.6947 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.259.obj b/data/sceneparts/tree1/leaves.259.obj new file mode 100644 index 000000000..b15f22dee --- /dev/null +++ b/data/sceneparts/tree1/leaves.259.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.259 +v 0.020281 -0.080011 2.167166 +v 0.009420 -0.131274 2.166756 +v -0.025343 -0.173756 2.237504 +v 0.000726 -0.091245 2.214468 +v -0.014482 -0.122493 2.237914 +v -0.005788 -0.162523 2.190203 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.9216 0.1979 -0.3340 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.260.obj b/data/sceneparts/tree1/leaves.260.obj new file mode 100644 index 000000000..0b6d7dff8 --- /dev/null +++ b/data/sceneparts/tree1/leaves.260.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.260 +v 0.071506 -0.169038 2.241232 +v 0.081015 -0.201610 2.212118 +v 0.052169 -0.272079 2.218368 +v 0.049105 -0.205160 2.255103 +v 0.042660 -0.239507 2.247482 +v 0.074569 -0.235957 2.204496 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.7835 -0.2711 0.5592 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.261.obj b/data/sceneparts/tree1/leaves.261.obj new file mode 100644 index 000000000..9f9cda796 --- /dev/null +++ b/data/sceneparts/tree1/leaves.261.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.261 +v 0.109220 -0.209684 2.355079 +v 0.122478 -0.242752 2.348725 +v 0.182646 -0.253193 2.338986 +v 0.144913 -0.205623 2.350704 +v 0.169388 -0.220126 2.345340 +v 0.146953 -0.257255 2.343361 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.1356 -0.1343 0.9816 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.262.obj b/data/sceneparts/tree1/leaves.262.obj new file mode 100644 index 000000000..bb5af4cda --- /dev/null +++ b/data/sceneparts/tree1/leaves.262.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.262 +v 0.171203 -0.220749 2.464948 +v 0.193518 -0.203489 2.477347 +v 0.183786 -0.157946 2.501926 +v 0.157276 -0.196141 2.477201 +v 0.161471 -0.175207 2.489527 +v 0.197713 -0.182554 2.489673 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.1027 -0.4893 0.8660 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.263.obj b/data/sceneparts/tree1/leaves.263.obj new file mode 100644 index 000000000..24c29184a --- /dev/null +++ b/data/sceneparts/tree1/leaves.263.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.263 +v 0.071506 -0.169038 2.241232 +v 0.069104 -0.200332 2.278666 +v 0.078931 -0.213494 2.222393 +v 0.079042 -0.282664 2.269125 +v 0.071616 -0.238208 2.287964 +v 0.081443 -0.251370 2.231691 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.9838 0.1016 0.1480 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.264.obj b/data/sceneparts/tree1/leaves.264.obj new file mode 100644 index 000000000..f48176776 --- /dev/null +++ b/data/sceneparts/tree1/leaves.264.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.264 +v 0.013514 -0.259546 2.284754 +v -0.009155 -0.207234 2.360234 +v -0.014439 -0.236053 2.299592 +v 0.026354 -0.248164 2.320236 +v 0.018797 -0.230727 2.345396 +v -0.021996 -0.218616 2.324752 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.4457 0.7928 -0.4156 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.265.obj b/data/sceneparts/tree1/leaves.265.obj new file mode 100644 index 000000000..3e2dfaaa9 --- /dev/null +++ b/data/sceneparts/tree1/leaves.265.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.265 +v -0.005980 -0.266486 2.318947 +v 0.000623 -0.237865 2.317245 +v -0.031302 -0.203782 2.298622 +v -0.029464 -0.253304 2.307099 +v -0.037904 -0.232403 2.300324 +v -0.007818 -0.216964 2.310470 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3811 0.1422 0.9135 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.266.obj b/data/sceneparts/tree1/leaves.266.obj new file mode 100644 index 000000000..6f30bce08 --- /dev/null +++ b/data/sceneparts/tree1/leaves.266.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.266 +v -0.004326 0.116269 2.278352 +v -0.017025 0.157934 2.403990 +v 0.023937 0.125180 2.325166 +v -0.041055 0.135134 2.315296 +v -0.045288 0.149022 2.357175 +v 0.019704 0.139069 2.367046 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1880 -0.9378 0.2920 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 3/5/1 6/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.267.obj b/data/sceneparts/tree1/leaves.267.obj new file mode 100644 index 000000000..118a9cf03 --- /dev/null +++ b/data/sceneparts/tree1/leaves.267.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.267 +v -0.024258 0.188351 2.388631 +v -0.058080 0.214455 2.397486 +v -0.009104 0.219344 2.415345 +v -0.052261 0.273996 2.441983 +v -0.018439 0.247892 2.433129 +v -0.067415 0.243003 2.415270 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn 0.2314 0.5678 -0.7900 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.268.obj b/data/sceneparts/tree1/leaves.268.obj new file mode 100644 index 000000000..aa8c14880 --- /dev/null +++ b/data/sceneparts/tree1/leaves.268.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.268 +v -0.090267 0.186770 2.493174 +v -0.118751 0.185167 2.488781 +v -0.100387 0.213668 2.495870 +v -0.148173 0.224713 2.490628 +v -0.119689 0.226316 2.495021 +v -0.138053 0.197815 2.487933 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.1423 -0.1516 0.9781 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 4/2/1 6/3/1 2/4/1 +f 1/1/1 3/5/1 5/6/1 4/2/1 diff --git a/data/sceneparts/tree1/leaves.269.obj b/data/sceneparts/tree1/leaves.269.obj new file mode 100644 index 000000000..851c0b360 --- /dev/null +++ b/data/sceneparts/tree1/leaves.269.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.269 +v 0.056663 0.205406 2.323895 +v 0.093338 0.188229 2.329663 +v 0.129330 0.195424 2.389154 +v 0.068432 0.215929 2.361633 +v 0.092654 0.212601 2.383386 +v 0.117560 0.184901 2.351416 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.4413 -0.8193 0.3661 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.270.obj b/data/sceneparts/tree1/leaves.270.obj new file mode 100644 index 000000000..6cdde4e87 --- /dev/null +++ b/data/sceneparts/tree1/leaves.270.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.270 +v 0.149503 0.218487 2.423040 +v 0.142055 0.192234 2.436126 +v 0.165338 0.217063 2.448793 +v 0.162082 0.176970 2.481300 +v 0.146248 0.178395 2.455546 +v 0.169530 0.203224 2.468213 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.7477 0.4538 0.4848 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 5/3/1 4/4/1 +f 1/1/1 4/4/1 6/5/1 3/6/1 diff --git a/data/sceneparts/tree1/leaves.271.obj b/data/sceneparts/tree1/leaves.271.obj new file mode 100644 index 000000000..d028e62d6 --- /dev/null +++ b/data/sceneparts/tree1/leaves.271.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.271 +v -0.058593 0.172448 2.568492 +v -0.069439 0.248831 2.557507 +v -0.081425 0.194990 2.563509 +v -0.042992 0.200827 2.566152 +v -0.046607 0.226288 2.562490 +v -0.085040 0.220451 2.559847 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.0876 0.1296 0.9877 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.272.obj b/data/sceneparts/tree1/leaves.272.obj new file mode 100644 index 000000000..cdc791d16 --- /dev/null +++ b/data/sceneparts/tree1/leaves.272.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.272 +v 0.101239 -0.185925 2.547043 +v 0.042931 -0.197611 2.598526 +v 0.082343 -0.209112 2.560436 +v 0.081264 -0.170528 2.567972 +v 0.061828 -0.174424 2.585133 +v 0.062907 -0.213008 2.577596 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn 0.6706 -0.1241 0.7314 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 4/5/1 5/6/1 2/2/1 diff --git a/data/sceneparts/tree1/leaves.273.obj b/data/sceneparts/tree1/leaves.273.obj new file mode 100644 index 000000000..6dcf65a62 --- /dev/null +++ b/data/sceneparts/tree1/leaves.273.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.273 +v 0.007101 0.086774 2.664010 +v 0.021297 0.085254 2.695228 +v 0.076491 0.102151 2.705681 +v 0.039165 0.098546 2.660572 +v 0.062295 0.103672 2.674462 +v 0.044428 0.090379 2.709119 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.3202 0.9279 0.1908 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 6/3/1 3/4/1 +f 1/1/1 3/4/1 5/5/1 4/6/1 diff --git a/data/sceneparts/tree1/leaves.274.obj b/data/sceneparts/tree1/leaves.274.obj new file mode 100644 index 000000000..2a23fdcf3 --- /dev/null +++ b/data/sceneparts/tree1/leaves.274.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves.274 +v 0.158659 -0.099375 2.612136 +v 0.186129 -0.086840 2.620463 +v 0.226041 -0.115968 2.641039 +v 0.176110 -0.122972 2.623077 +v 0.198571 -0.128503 2.632712 +v 0.208590 -0.092371 2.630097 +vt 0.500000 0.000000 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vn -0.3543 0.1648 0.9205 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 3/2/1 6/3/1 2/4/1 +f 1/1/1 4/5/1 5/6/1 3/2/1 diff --git a/data/sceneparts/tree1/leaves.obj b/data/sceneparts/tree1/leaves.obj new file mode 100644 index 000000000..f6087d932 --- /dev/null +++ b/data/sceneparts/tree1/leaves.obj @@ -0,0 +1,21 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o leaves +v 0.011625 0.018290 0.819861 +v 0.053985 0.010580 0.855600 +v 0.074352 0.028237 0.891339 +v 0.072727 0.071262 0.927078 +v 0.030367 0.078972 0.891339 +v 0.010000 0.061315 0.855600 +vt 0.500000 0.000000 +vt 0.250000 0.333333 +vt 0.250000 0.666667 +vt 0.500000 1.000000 +vt 0.750000 0.666667 +vt 0.750000 0.333333 +vn -0.6032 -0.5230 0.6022 +s off +mtllib leafwood.mtl +usemtl Leaves +f 1/1/1 2/2/1 3/3/1 4/4/1 +f 1/1/1 4/4/1 5/5/1 6/6/1 diff --git a/data/sceneparts/tree1/tree.obj b/data/sceneparts/tree1/tree.obj new file mode 100644 index 000000000..b75cf53e6 --- /dev/null +++ b/data/sceneparts/tree1/tree.obj @@ -0,0 +1,14839 @@ +# Blender v3.4.0 OBJ File: 'apple_tree1_sapling_05_8_2_2.blend' +# www.blender.org +o tree +v -0.030659 -0.030659 0.000000 +v -0.000000 -0.043358 0.000000 +v 0.030659 -0.030659 0.000000 +v 0.043358 -0.000000 0.000000 +v 0.030659 0.030659 0.000000 +v 0.000000 0.043358 0.000000 +v -0.030659 0.030659 0.000000 +v -0.043358 0.000000 0.000000 +v -0.025497 -0.026364 0.185378 +v 0.000572 -0.037162 0.185280 +v 0.026640 -0.026364 0.185217 +v 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b/data/surveys/dyn/tls_tree1_dyn.xml @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/data/surveys/dyn/tls_tree1_static.xml b/data/surveys/dyn/tls_tree1_static.xml new file mode 100644 index 000000000..79e66b1fe --- /dev/null +++ b/data/surveys/dyn/tls_tree1_static.xml @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/example_notebooks/15-tls_tree_dynamic.ipynb b/example_notebooks/15-tls_tree_dynamic.ipynb new file mode 100644 index 000000000..57c0b0dc2 --- /dev/null +++ b/example_notebooks/15-tls_tree_dynamic.ipynb @@ -0,0 +1,1134 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Terrestrial Laser Scanning of a Small Apple Tree with Leaf Flutter\n", + "\n", + "Notebook: Hannah Weiser, 2023\n", + "\n", + "This is a demonstration of scanning a [dynamic scene](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes), consisting of a tree with moving leaves.\n", + "\n", + "We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:47.799832Z", + "start_time": "2023-08-24T14:57:47.400770Z" + } + }, + "outputs": [], + "source": [ + "import sys, os\n", + "from pathlib import Path\n", + "from IPython.display import Code\n", + "\n", + "current_folder = globals()['_dh'][0]\n", + "helios_path = str(Path(current_folder).parent)\n", + "sys.path.append(helios_path) # add helios-plusplus directory to PATH\n", + "import pyhelios\n", + "\n", + "from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n", + "\n", + "os.chdir(helios_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Scene\n", + "\n", + "The scene was generated in [Blender](https://www.blender.org/) using three add-ons:\n", + "- [Sapling Tree Gen](https://docs.blender.org/manual/en/latest/addons/add_curve/sapling.html): This add-on allows to create trees using a set of parameters, using the algorithm by [Weber & Penn (1995)](https://doi.org/10.1145/218380.218427). For the resulting tree, the stem curve was converted to a mesh, and the leaves were [separated \"By Loose Parts\"](https://docs.blender.org/manual/en/latest/modeling/meshes/editing/mesh/separate.html). This way, each leaf can be moved individually.\n", + "- [Move Leaves](https://github.com/han16nah/movingtree_b2h/blob/main/addons/moveleaves.py): This add-on creates a leaf animation for a given tree (created by e.g., Sapling Tree Gen) by rotating the leaves around their leaf base. The user can provide an initial leaf angle distribution, the (random) fraction of leaves moving, the oscillation frequency and the normal distributions $N$($\\mu$, $\\sigma$), from which the three Euler rotation angles $X$, $Y$ and $Z$ will be sampled at each time step. In this case, half of the leaves are moving with an oscillation frequency of 6 and a rotation angle normal distribution $N(0°, 16°)$ for $X$ and $N(0°, 4°)$ for $Y$ and $Z$.\n", + "- [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h): This add-on allows exporting dynamic Blender scenes (i.e., scenes with rigid motions) to HELIOS++ sceneparts and scenes. It considers translations and rotations.\n", + "\n", + "This is what the Blender animation looks like:\n", + "![moving_tree](https://github.com/3dgeo-heidelberg/helios/blob/dev/img/example15.gif?raw=true \"moving_tree\")\n", + "\n", + "Finally, further modifications were made:\n", + "- A wavefront material template library (MTL) was assigned (`leafwood.mtl`), which contains `helios_spectra` and `helios_classification` for the different materials (`Leaves` and `TrunksAndBranches`) to assign realistic reflectance values and to create an automatic classification of the output point cloud.\n", + "\n", + "The exported dynamic scene is very large, but you can have a look [here](https://github.com/3dgeo-heidelberg/helios/blob/dev/data/scenes/movingtrees/tree10_a.xml). Let's have a look at how the sceneparts are configured." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Static Scene Parts\n", + "\n", + "For the static sceneparts, we simply load the 3D models from the corresponding OBJ files. For completeness, we also set the \"up axis\" to \"z\", which is also the HELIOS++ default.\n", + "\n", + "```XML\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Dynamic Scene Parts\n", + "\n", + "The dynamic sceneparts are much more complex. After loading the 3D model from a file, we are applying a sequence of rigid motions.\n", + "\n", + "```XML\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "....\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "```\n", + "\n", + "Within a rigid motion (`dmotion`), different motions can be combined. HELIOS++ supports translation, rotation, reflection, glide plane, helical motion and rotational symmetry (see [Dynamic scenes](https://github.com/3dgeo-heidelberg/helios/wiki/Dynamic-scenes)). The [DynScene2HELIOS](https://github.com/3dgeo-heidelberg/dyn_b2h) Blender add-on support translation and rotation, which can be seen in the XML syntax above.\n", + "\n", + "Rotations are provided as `axis`-`angle` rotations, with angles in degrees. In addition a rotation center can be provided using the `center` parameter. The `autoCRS` parameter is used to automatically translate the rotation center to the internal reference system of the simulation.\n", + "\n", + "Using the parameters `id` and `next`, individual rigid motions can be chained together. The `loop` parameter determines how often each motion is executed. If no `next` ID is provided, the motion sequence is terminated. In our case, we want to create a never ending loop, so we define the first motion as `next` in the last motion and set the rotation so that the leaf is back at its original orientation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Platform and Scanner\n", + "\n", + "We are performing a terrestrial laser scanning (TLS) simulation from a static tripod with a RIEGL VZ-400. Platform and scanner are shown below:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:47.840833Z", + "start_time": "2023-08-24T14:57:47.801834Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
<platform id="tripod" name="TLS Tripod" type="static" drag="0">\n",
+       "\t\t<scannerMount x="0" y="0" z="1.5">\n",
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+       "\t</platform>\n",
+       "    \n",
+       "    \n",
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"output_type": "execute_result" + } + ], + "source": [ + "Code(display_xml('data/surveys/dyn/tls_tree1_dyn.xml'), language='XML')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Running the Simulations\n", + "\n", + "Let's run the simulation. Just for comparison, we are also running a simulation of a static version of the same scene.\n", + "The simulation of the dynamic scene will take considerably longer than the one with the static scene." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import time" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "start = time.time()\n", + "!\"run/helios\" data/surveys/dyn/tls_tree1_dyn.xml \"--lasOutput\" \"--zipOutput\" \"-q\" \"--rebuildScene\" \"-j\" \"6\"\n", + "duration_dyn = time.time() - start" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "start = time.time()\n", + "!\"run/helios\" data/surveys/dyn/tls_tree1_static.xml \"--lasOutput\" \"--zipOutput\" \"-q\" \"--rebuildScene\" \"-j\" \"6\"\n", + "duration_static = time.time() - start" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Duration for dynamic simulation: 2778.7 s\n", + "Duration for static simulation: 66.7 s\n", + "\n", + "On this system, dynamic simulations took 41.7 times longer.\n", + "\n" + ] + } + ], + "source": [ + "print(f\"\"\"\n", + "Duration for dynamic simulation: {duration_dyn:6.1f} s\n", + "Duration for static simulation: {duration_static:6.1f} s\n", + "\n", + "On this system, dynamic simulations took {duration_dyn/duration_static:.1f} times longer.\n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Loading the Simulated Point Clouds\n", + "\n", + "We are loading the simulated point clouds and their attributes with [laspy](https://laspy.readthedocs.io/en/latest/) to `numpy` arrays and merge the individual scan positions." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T14:57:56.500130Z", + "start_time": "2023-08-24T14:57:55.415394Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import laspy\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def read_pc(path, pt_src_id):\n", + " las = laspy.read(path)\n", + " pc = np.array([las.x, las.y, las.z]).T\n", + " object_id = las['hitObjectId']\n", + " classification = las['classification']\n", + " pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n", + "\n", + " return pc, object_id, classification, pt_src_id" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:36.006928Z", + "start_time": "2023-08-24T15:53:35.504869Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading points from output/tls_tree1_dyn/2023-10-10_09-02-54\n", + "Merging files\n" + ] + } + ], + "source": [ + "# Dynamic point cloud\n", + "output_path = find_playback_dir('data/surveys/dyn/tls_tree1_dyn.xml')\n", + "\n", + "print('Loading points from', Path(output_path).relative_to(helios_path).as_posix())\n", + "\n", + "pc_1, object_id_1, classification_1, pt_src_id_1 = read_pc(Path(output_path) / 'leg000_points.laz', 1)\n", + "pc_2, object_id_2, classification_2, pt_src_id_2 = read_pc(Path(output_path) / 'leg001_points.laz', 2)\n", + "pc_3, object_id_3, classification_3, pt_src_id_3 = read_pc(Path(output_path) / 'leg002_points.laz', 3)\n", + "pc_4, object_id_4, classification_4, pt_src_id_4 = read_pc(Path(output_path) / 'leg003_points.laz', 4)\n", + "pc_5, object_id_5, classification_5, pt_src_id_5 = read_pc(Path(output_path) / 'leg004_points.laz', 5)\n", + "pc_6, object_id_6, classification_6, pt_src_id_6 = read_pc(Path(output_path) / 'leg005_points.laz', 6)\n", + "\n", + "print('Merging files')\n", + "\n", + "pc = np.vstack((pc_1, pc_2, pc_3, pc_4, pc_5, pc_6))\n", + "object_id = np.hstack((object_id_1, object_id_2, object_id_3, object_id_4, object_id_5, object_id_6))\n", + "classification = np.hstack((classification_1, classification_2, classification_3, classification_4, classification_5, classification_6))\n", + "pt_src_id = np.hstack((pt_src_id_1, pt_src_id_2, pt_src_id_3, pt_src_id_4, pt_src_id_5, pt_src_id_6))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading points from output/tls_tree1_static/2023-10-10_09-49-11\n", + "Merging files\n" + ] + } + ], + "source": [ + "# Static point cloud\n", + "output_path_2 = find_playback_dir('data/surveys/dyn/tls_tree1_static.xml')\n", + "\n", + "print('Loading points from', Path(output_path_2).relative_to(helios_path).as_posix())\n", + "\n", + "pc_s_1, object_id_s_1, classification_s_1, pt_src_id_s_1 = read_pc(Path(output_path_2) / 'leg000_points.laz', 1)\n", + "pc_s_2, object_id_s_2, classification_s_2, pt_src_id_s_2 = read_pc(Path(output_path_2) / 'leg001_points.laz', 2)\n", + "pc_s_3, object_id_s_3, classification_s_3, pt_src_id_s_3 = read_pc(Path(output_path_2) / 'leg002_points.laz', 3)\n", + "pc_s_4, object_id_s_4, classification_s_4, pt_src_id_s_4 = read_pc(Path(output_path_2) / 'leg003_points.laz', 4)\n", + "pc_s_5, object_id_s_5, classification_s_5, pt_src_id_s_5 = read_pc(Path(output_path_2) / 'leg004_points.laz', 5)\n", + "pc_s_6, object_id_s_6, classification_s_6, pt_src_id_s_6 = read_pc(Path(output_path_2) / 'leg005_points.laz', 6)\n", + "\n", + "print('Merging files')\n", + "\n", + "pc_s = np.vstack((pc_s_1, pc_s_2, pc_s_3, pc_s_4, pc_s_5, pc_s_6))\n", + "object_id_s = np.hstack((object_id_s_1, object_id_s_2, object_id_s_3, object_id_s_4, object_id_s_5, object_id_s_6))\n", + "classification_s = np.hstack((classification_s_1, classification_s_2, classification_s_3, classification_s_4, classification_s_5, classification_s_6))\n", + "pt_src_id_s = np.hstack((pt_src_id_s_1, pt_src_id_s_2, pt_src_id_s_3, pt_src_id_s_4, pt_src_id_s_5, pt_src_id_s_6))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualization\n", + "\n", + "First, let's plot the full point cloud, coloured by a) Object ID and b) Classification." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:48.363756Z", + "start_time": "2023-08-24T15:53:46.963776Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib figure\n", + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "# First subplot\n", + "ax1 = fig.add_subplot(1,2,1, projection='3d', computed_zorder=False)\n", + "sc1 = ax1.scatter(pc[::10, 0],\n", + " pc[::10, 1],\n", + " pc[::10, 2],\n", + " c=object_id[::10], cmap='prism',\n", + " s=0.02, zorder=1)\n", + "ax1.set_title(label='a) Coloured by Object ID', fontsize=16, pad=20)\n", + "\n", + "# Second subplot\n", + "from matplotlib.colors import LinearSegmentedColormap\n", + "colours = ['#784e10', '#2f7810']\n", + "class_cmap = LinearSegmentedColormap.from_list('classification', colours, N=2)\n", + "\n", + "ax2 = fig.add_subplot(1,2,2, projection='3d', computed_zorder=False)\n", + "sc2 = ax2.scatter(pc[::10, 0],\n", + " pc[::10, 1],\n", + " pc[::10, 2],\n", + " c=classification[::10], cmap=class_cmap,\n", + " s=0.02, zorder=1)\n", + "ax2.set_title(label='b) Coloured by Classification', fontsize=16, pad=20)\n", + "\n", + "for ax in [ax1, ax2]:\n", + " ax.set_xlabel('$X$')\n", + " ax.set_ylabel('$Y$')\n", + " ax.set_zlabel('$Z$', labelpad=15)\n", + " ax.set_xticks([-0.4, 0, 0.4])\n", + " ax.set_yticks([-0.4, 0, 0.4])\n", + " # set equal axes\n", + " box = (np.ptp(pc[:, 0]), np.ptp(pc[:, 1]), np.ptp(pc[:, 2]))\n", + " ax.set_box_aspect(box)\n", + "\n", + "# Adjust subplots\n", + "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,\n", + " wspace=0.02, hspace=0.02)\n", + "# Add color bar and set ticks and tick labels\n", + "cb_ax = fig.add_axes([0.83, 0.25, 0.01, 0.5])\n", + "tick_locs = [0.25, 0.75]\n", + "cbar = fig.colorbar(sc2, cax=cb_ax, ticks=tick_locs)\n", + "cbar.ax.set_yticklabels(['wood', 'leaf'], fontsize=15)\n", + "\n", + "# Display results\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we zoom in a bit to see more detail and compare the static to the moving point cloud." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:50.486726Z", + "start_time": "2023-08-24T15:53:50.461725Z" + } + }, + "outputs": [], + "source": [ + "# Select a subset of the point cloud\n", + "def clip_by_bb(pts, xmin, xmax, ymin, ymax, zmin, zmax):\n", + " clip_index = ((pts[:, 0] > xmin) &\n", + " (pts[:, 0] < xmax) &\n", + " (pts[:, 1] > ymin) &\n", + " (pts[:, 1] < ymax) &\n", + " (pts[:, 2] > zmin) &\n", + " (pts[:, 2] < zmax))\n", + " return clip_index\n", + "\n", + "# clip static point cloud\n", + "clip_idx = clip_by_bb(pc_s, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n", + "pc_s_clipped = pc_s[clip_idx]\n", + "pt_src_id_s_clipped = pt_src_id_s[clip_idx]\n", + "object_id_s_clipped = object_id_s[clip_idx]\n", + "\n", + "# clip dynamic point cloud and additionally filter by object ids (which are in static point cloud)\n", + "clip_idx = clip_by_bb(pc, -0.21, 0.116, -0.317, 0.02, 1.7, 1.88)\n", + "oid_idx = np.isin(object_id, list(set(object_id_s_clipped)))\n", + "clip_and_oid_idx = np.logical_and(clip_idx, oid_idx)\n", + "pc_clipped = pc[clip_and_oid_idx]\n", + "pt_src_id_clipped = pt_src_id[clip_and_oid_idx]\n", + "object_id_clipped = object_id[clip_and_oid_idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T15:53:55.703656Z", + "start_time": "2023-08-24T15:53:54.043677Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib figure\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# random color map\n", + "cmap = plt.cm.colors.ListedColormap(np.random.rand(256, 3))\n", + "\n", + "# First subplot\n", + "ax1 = fig.add_subplot(2,2,1, projection='3d', computed_zorder=False)\n", + "sc1 = ax1.scatter(pc_s_clipped[:, 0],\n", + " pc_s_clipped[:, 1],\n", + " pc_s_clipped[:, 2],\n", + " c=object_id_s_clipped, cmap=cmap,\n", + " s=0.05, zorder=1)\n", + "ax1.set_title(label='Coloured by Object ID', fontsize=14)\n", + "# Second subplot\n", + "\n", + "ax2 = fig.add_subplot(2,2,2, projection='3d', computed_zorder=False)\n", + "sc2 = ax2.scatter(pc_s_clipped[:, 0],\n", + " pc_s_clipped[:, 1],\n", + " pc_s_clipped[:, 2],\n", + " c=pt_src_id_s_clipped, cmap='gist_rainbow',\n", + " s=0.05, zorder=1)\n", + "ax2.set_title(label='Coloured by Scan Position', fontsize=14)\n", + "\n", + "# Third subplot\n", + "ax3 = fig.add_subplot(2,2,3, projection='3d', computed_zorder=False)\n", + "sc3 = ax3.scatter(pc_clipped[:, 0],\n", + " pc_clipped[:, 1],\n", + " pc_clipped[:, 2],\n", + " c=object_id_clipped, cmap=cmap,\n", + " s=0.05, zorder=1)\n", + "# ax3.set_title(label='c) Coloured by Object ID', fontsize=14)\n", + "\n", + "# Fourth subplot\n", + "ax4 = fig.add_subplot(2,2,4, projection='3d', computed_zorder=False)\n", + "sc4 = ax4.scatter(pc_clipped[:, 0],\n", + " pc_clipped[:, 1],\n", + " pc_clipped[:, 2],\n", + " c=pt_src_id_clipped, cmap='gist_rainbow',\n", + " s=0.05, zorder=1)\n", + "# ax4.set_title(label='d) Coloured by Scan Position', fontsize=14)\n", + "\n", + "for ax in [ax1, ax2, ax3, ax4]:\n", + " ax.set_xlabel('$X$')\n", + " ax.set_ylabel('$Y$')\n", + " ax.set_zlabel('$Z$')\n", + " box = (np.ptp(pc_clipped[:, 0]), np.ptp(pc_clipped[:, 1]), np.ptp(pc_clipped[:, 2]))\n", + " ax.set_box_aspect(box)\n", + " ax.view_init(elev=15, azim=170)\n", + "\n", + "fig.text(0.1, 0.7, 'Static', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n", + "fig.text(0.1, 0.3, 'Dynamic', rotation='vertical', va='center', transform=fig.transFigure, fontsize=14)\n", + "# Adjust subplots\n", + "fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.9,\n", + " wspace=0.0, hspace=0.0)\n", + "\n", + "# Display results\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's have a look at a few of the leaves, some of which are static and some of which are moving." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:01:37.567366Z", + "start_time": "2023-08-24T16:01:37.544368Z" + } + }, + "outputs": [], + "source": [ + "moving_leaves = [35, 57, 63, 73, 89, 124, 125, 130]\n", + "static_leaves = [167, 189, 195, 200, 220, 242, 251, 260]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:02:17.903157Z", + "start_time": "2023-08-24T16:02:17.005163Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "for i, leaf_id in enumerate(static_leaves):\n", + " sel_idx = object_id == leaf_id\n", + " pc_sel = pc[sel_idx]\n", + " pt_src_id_sel = pt_src_id[sel_idx]\n", + "\n", + " ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n", + " sc = ax.scatter(pc_sel[:, 0],\n", + " pc_sel[:, 1],\n", + " pc_sel[:, 2],\n", + " c=pt_src_id_sel, cmap='gist_rainbow',\n", + " s=0.4, zorder=1)\n", + " ax.tick_params(labelbottom=False, labelleft=False)\n", + " ax.view_init(elev=15, azim=45)\n", + " # set equal axes\n", + " box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n", + " ax.set_box_aspect(box)\n", + "fig.suptitle('Static leaves', fontsize=16)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-24T16:02:23.703117Z", + "start_time": "2023-08-24T16:02:23.026120Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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nTx7pTRRCCCE+VaR4lBBCCCGEEEKIUU3m2AohhBBCCCGEGNUksBVCCCGEEEIIMapJYCuEEEIIIYQQYlSTwFYIIYQQQgghxKgmga0QQgghhBBCiFFNAlshhBBCCCGEEKOaBLZCCCGEEEIIIUY1CWyFEEIIIYQQQoxqEtgKIYQQQgghhBjVJLAVQgghhBBCCDGqSWArhBBCCCGEEGJUk8BWCCGEEEIIIcSoJoGtEEIIIYQQQohRTQJbIYQQQgghhBCjmgS2QgghhBBCCCFGNQlshRBCCCGEEEKMahLYCiGEEEIIIYQY1SSwFUIIIYQQQggxqklgK4QQQgghhBBiVJPAVgghhBBCCCHEqCaBrRBCCCGEEEKIUU0CWyGEEEIIIYQQo5oEtkIIIYQQQgghRjUJbIUQQgghhBBCjGoS2AohhBBCCCGEGNUksBVCCCGEEEIIMapJYCuEEEIIIYQQYlSTwFYIIYQQQgghxKgmga0QQgghhBBCiFFNAlshhBBCCCGEEKOaBLZCCCGEEEIIIUY1CWyFEEIIIYQQQoxqEtgKIYQQQgghhBjVJLAVQgghhBBCCDGqSWArhBBCCCGEEGJUk8BWCCGEEEIIIcSoJoGtEEIIIYQQQohRTQJbIYQQQgghhBCjmgS2QgghhBBCCCFGNQlshRBCCCGEEEKMahLYCiGEEEIIIYQY1SSwFUIIIYQQQggxqklgK4QQQgghhBBiVJPAVgghhBBCCCHEqCaBrRBCCCGEEEKIUU0CWyGEEEIIIYQQo5oEtkIIIYQQQgghRjUJbIUQQgghhBBCjGoS2AohhBBCCCGEGNUksBVCCCGEEEIIMapJYCuEEEIIIYQQYlSTwFYIIYQQQgghxKgmga0QQgghhBBCiFFNAlshhBBCCCGEEKOaBLZCCCGEEEIIIUY1CWyFEEIIIYQQQoxqEtgKIYQQQgghhBjVJLAVQgghhBBCCDGqSWArhBBCCCGEEGJUM0d6A4QQ4kChlEIphW3bKKXQdR1N0xJ/QgghhBBiaEhgK4QQ/eAEsM6fZVnU1dXh8XhwuVzouo7L5UoEtbqu7xPoSrArhBBCCDE4JLAVQoj9UEphWVYiiI3H41iWlQhuHWvWrKGqqorCwkIMw0DX9ZTnW5aVeKwT7Cb/W4JdIYQQQoj+kcBWCCH2Sk4ldgJRJ5B17gNSglDTNBPBaOfgtPO/nfdw/p0c6DqSR3aTA14hhBBCCNE9CWyFEJ9K3aUSe71eTNNMPCY5lXgwgsz9BbvOtiTf3znQdUaCJeAVQgghhOggga0Q4oCXHDD2lEq8evVqJkyYQF5eHtD3wLG/gWZvgt3k0WLn3zJvVwghhBCigwS2QogDxmCnEo+knoJd579DoRDvv/8+Rx55pBSpEkIIIcSnmgS2QohRqXMqcSQSIRwO43a7uwxie5tKnBw89ne7hkrytjufpa2tTYpUCSGEEOJTTwJbIUTa600qcW1tLTU1NcyZM6ffc1BHY7DXVbEq6F2Rqq5GeIUQQgghRiMJbIUQaSM5ldgJYJNTiZ3HdJVK7BR8coLagWzDgaC383alSJUQQgghDgQS2AohRkRXVYmdQNYJcDsXSuppVHEwgq/BqnicrvY3b1eKVAkhhBBitJLAVggx5PaXSlxXV8fWrVs55JBDEkEU9C1Q1DRtUEZb03mO7VC8V+d5u51fWylFPB5PeYwEu0IIIYRINxLYCiEGTedUYqeQkRPQOo/pnEpsmiZKqUQ68UDefyAGMzCLx+MYhjFqg73ezNuVIlVCCCGESBcS2AohBuxPf/oTM2bMYOzYsf1KJR6M0daRHLGNRqM0NzcTDofZunUr69evJxKJYJomgUCAYDBIMBgkEAiQkZExqMHecAaOvQl2e5q3K0WqhBBCCDFUJLAVQgzYr3/9a6666ioqKyv7lUqsaVpiRLe/hmuObSQSoaWlJeUvEong8/mwbZuMjAwmTJhAVlYW8XicpqYmmpqa2LBhAy0tLV0Gu16vt1/bnw6FrnpTpGrnzp3U1dVx0EEHAVKkSgghhBCDTwJbIcSAuVwu4vF4v1OJ03HEVimVGIlNDmKj0Sg+n4+srCyys7OpqKggKysL0zT54IMPyMvLIycnB13X8fl8BAIBKioqALAsi1AolAh2161bRygUwuVyJYLc5GB3tOoc7FqWRSQSSfx/cpEq53Eyb1cIIYQQAyGBrRBiwFwuF7FYrN/PH+nCT0opIpEI8Xic3bt3s2vXrn2C2NzcXKqqqsjMzOx3AG8YRmKk1mFZFs3NzTQ3N9PU1MSuXbsIhUJ4PJ59gl2Px9Ov9x1pyfOqQYpUCSGEEGLwSWArhBgwZ8S2v4ZzxFYpRTgcJhQKpYzGxmIxdF3HNE0KCwsHHMT2lmEY5OTkkJOTk7gtHo+nBLvbt2+nra0Nr9ebEuyOluJUnefdJutPkaruAl4hhBBCfHpJYCuEGDDTNEd8xLar13CC2M5zYuPxeGIkNj8/n7Fjx5KZmcnSpUspLi6mpKSk39swGEzTJDc3l9zc3MRtsVgsJditqamhra0NgI8++ihlZNflcg3KdgyWngLbruwv2HUC3v0Vqer8GkIIIYQ4cElgK4QYsIGmIuu6PmipyLt3704ZibUsC7/fv08QaxhGt68x0G0YCi6Xi7y8PPLy8hK31dfXs2TJEgKBAE1NTWzZsoVwOIzP59snjXmoR5570tfAtiu9KVLl/L/zGMMwcLvdA3pfIYQQQowOEtgKIQZsuFORlVK0t7enjMI2NzdjWRabNm0iKyuLwsJCxo8fj9/v7zaI7Wo7RhOXy4WmaYwbNy5xWzQapampiebmZhoaGti0aRORSAS/379PsNvb72WgBiOw7UpPwe5Aq2wLIYQQYnSRwFYIMWBDWTzKCWKTR2FDoRCWZZGZmZkIYktKSqiurmbevHn93g7n/UaTzgGj2+2moKCAgoKCxG3hcDiRwlxXV8eGDRuIRqNkZmamLDuUlZU1JMHuUAW2XZEUZCGEEOLTSQLbA4wz/0w6d2I4DVZgq5Sira1tnzmxSin8fj+BQICioiImTpyI3+9PrH8KEAqFBvw5BitdNt14vV68Xi+FhYXAJ1WgnWWHdu/ezdq1a4nH42RlZaWM6mZlZaV8z/0xEhcLRtsFCiGEEEPLqc8ApKylLg4cEtiOcslVQ5P/PB5Pl8VUpAGLodCfVGQniG1ubqaxsRGlFG+88QZKqcRIbHFxcZdBbFcGa99O1zm2g0nTtESwW1RUBKSOjDc1NbFz506qq6uxLItAIJAIdoPBYK9+j2RKqQEHx0IIIURvObUXkvvG8Xg8cT5y6i9IX/nAIoHtKNJTI00umuI0yK6KqTgNV5bJEINpfyO2tm3vMxIbCoUSQazf7wdg9uzZfQ6aHINVWXk0GcwgWtM0fD4fPp+P4uLixOu3t7cnRna3b9/OqlWrUEqlBLuBQIDMzMxuv7+RCvZH2+8phBCi75z+sdNHjsfjWJa1Tz9Y0zQMw0gZqXWe88EHHzBr1izcbrcsKTeKSWCbpvraSJ3/dyQHBp0rhyYvkxGLxbBtO9EplQYs+iN5uZ/OQWxzc3MiTTgrK4usrCxKS0vJysrC5/Oh6zrRaJQdO3b0O6h1DEYAVa/Xo2kaZaoscZu19x83PVfYHYl2M5TvmRzsOksgKaVobW1NjOxu27aN5uZmgH2CXb/fn7jgICO2QgghBip5yTfnr6GhgXg8TjAYTEzHS0417nye7GpJuIaGhsRrO/1lR+dA1zmfSV85/UhgmwaSG6lt28Tj8ZSR2N400p70VDl0586d1NbWMnv27JTHSwMWvbVq1SrWrFlDa2srL774YqJSr5NOXFZWRiAQwOfzdbsPObcPJDAdjBFbS7e4ofwGdK/OY+2PUagKsbA4L+M8WmjhyfYnySFnv68TI8Z2bTsTmIDGgdVunN82MzOT0tJSoON3C4VCiWB38+bNtLS0oGkawWCQeDyOy+Wira2NjIwMOZYIIYTYr879Y2egxxn4cc4le/bsIRKJkJubO6DzS3Kf13l/59/OezuPS+4rSwpz+pDAdgR0Ny82OaU4Oagc6mUynPfpbQOWCfci2e23387KlSupqqqisLCQCRMm9BjEdmWwAlvnNXp67xqthqu9V3OMdQz/E/2flPt0pZMXzyOmYniVF4C/mH9hqb6UQlVIXIvDfjZRKcWt7lt5yfUSt1m3cbp9esr9ddTxtP40J9knUUJJPz5p+tE0LTEaX1bWMdJt23Yi2N20aRMtLS0sXLgQ0zT3mbPr9XrleCKEEJ9ynfvHThDbVf/YNM2UaXZDEVjub/305H6ysx2SwjyyJLAdYj3Ni21paWHVqlXMmzcvpSEM5L0ikQjNzc2YptnnDmN/GrBMuBcPPPAA3/ve99i4cSMzZ87s12sMZmC7P9u0bTRrzbxnvLfPfYZm8JXarzDOGEeAAAuNhXzX810CKsB3I9+lQHUsodNGGx48GHS9NE6+ykehCKrgPvf92fgzD+kPsU3bxs3WzX34hPtK50JVuq4nAtjm5mZ0XWfSpEm0tLQk1tldv349oVAocbxKXmfX4/EM+Mq7HI+EECI9dTUS6wzyOPd37mPu7/WGQ+e+ck/T/bqbqyvnpqEjge0g6s/kdcuyMM3+/QzxeJzm5uaUv1gslpjXFgqFcLvdiQ5jdnY2wWCwT+/XXQOGT4pTdZ7bK1erPn3cbveAl/uBwTkx7W/Edp49j1+Ff0WFqtjnvlp3LTeU30CDp4FH2h9hu7adIlXEbGs2Z1hnALBJ28R13uuYaE/kjsgdief+2vVrfnfI77iu8Tq+EfsGX7W+it/0p7z+Cm0FC7WFTFKTmGXP4k/6n/is/VmyyBrw505nyR0U53jksCwrJdjdtWsXoVAIj8eTMl/XCXaFEEKMLl0N8iT3j5P7ml3VjUln+xsUcj5r8uNlut/QkcC2nwZjXmxfdmKnYIvT+Wtubqa1tRWPx5MIWisrK8nKysIwDNxuN5ZlJZZSaWpqYuvWrYTDYTIzMxOdy/b29j4FE8nbLFerhMM0zT4v95NssFORe3wcGrPt2V3el2VlYWBgK5tFxiJuit7EdHs6U+wpidFZCwsbm1ZaaaONa73XEiPG+8b77FF72ODaAIALF1vYQgUViXm2H2ofslPbyen26byhv8Gr+qtoaHzB/kKP27xcW84abQ1n2Wdhdjpsj4a21NPFBsMwyM7OJjs7O3FbPB5PCXZ37NhBa2srXq93n2DXWbJBCCHEyOtpkMe5fyB1Y7qSbufB3gS78XictrY2GhoaqKiokPm6g0QC214ainmxPT0mEomkBLEtLS1AR1XZYDDIuHHjCAQCPY5gGIZBTk4OOTmfFLtxXrexsZFdu3bR0NCAbdu88847KSO7g5nCLFerDnwul4toNNrv5w9nKnJPMuwM/rj+j7w57k2edT3Lo+ajXBK/JOUx49V47m2/lxu9N/Il75fYpG8C4LT4adTW1TI7PJv7su4jpsd40vUk37S+yQX2BQCcb59PkSoiTpw6rQ7d1jnaPnq/2/VD44fs0fZQrIqZr+YP+HOOhL78PqZp7nPscjJUnONiTU1NohhV52DX5XKldZq2EEIcCDpXKI5GoykDPEMRxPa0LfvjnEfa2trw+/2JKXvDoau+cnt7O1u2bKG8vFzm6w4SCWy70Nv1YgdjXiyQGFlN/otEIvj9fgKBAMXFxUyaNCmRYjwQHo+HwsJCCgsLAdi0aRO7d++mtLSUpqYmNm7cSEtLCy6XKyV92eks9lZvr1Y5j5HqcqOb2+0e0IgtDLyq8f6C44ddD7ND28GN0Rtx0fW+rGkaYT3Mo+5H2aHt4HXz9X0CW4AAAdTef74f/j4xLcaZ1pks3bCUC+deSJ2rjgXWgsRjbWzuMu7CxOQ06zS+Yn4FXdN5JvZMt/N0k11sX8xH2kdMV9N7+3WkleTqlf1lmia5ubnk5uYmbovFYinB7tatW2lvb8fn85Gbm9vvOd9CDLfOa84LkY6SR2I7F3dqa2tjyZIlHHvssWlRZNS27cTSdJ0zHbOysti+fTuhUAiv15vIGGpqaiI/P3/Yl6dz3k8yIAfuUx/YDnS92P68X1tbG01NTdTV1RGLxXjjjTcSgWQgEKC8vJysrKx+z73tK9M0KS8vp7y8HPgk0HZGdrdt20Z7e3vi6pYT7GZlZfWp8felOFVLSwumaZKZmSnB7ijgcrkGNMcWBme5Hug6sLWxud91PwDnxc5joprY7fO3urYSJUquyuX/Rf7fPvdbWKw2VnNn+E6eM5/jMt9llNllzGqfxYsFL2Jjk6EymGZNYw5zOMI+gk1s4jH9Mfz4udC6kNlqNs00U0cdhRTu9zOdY5/DOZzTq8+aroai7bpcLvLy8sjLy0vcFo1GExcHhUhXXQUILpcrUX9DznlipHWebre/TEVn8MPpKw8nTdOwLIvdu3enBLKapnWZ6ajremIKVWNjI42NjQAsW7aMeDxOIBBITJEJBoNDukxdV1P8JAOy/z5Vge1QrxfblWg0mpJS3NzcjFKKrKwsMjIy0HWdww8/fMAVQAdTTynMTU1N7Nq1izVr1mDbdiL1r7+Nv7viVJs2bcLv9zN27NiUx3R3xUqMrHQIbHsasdXR+Wnkp9RqtUxQE1Lus7FpoYUgQTRN4+C2g/lF5BdU2pUUqn2Dzn+Y/+Bn7p8x35qPhoZbuclSWeSqXFZmrsRje/hi9IusMdewXl/PTDWTe/R72MMeLrcup4ACDlYHc59+H+e5zqNSVXJ//H58+Ab0udPZYIzY9pbb7SY/Pz/l5C/ESOpNFpiz5J6kI4qR0NdMRef/kyWfg4d6H3XqMDj96vr6eizLIhwO9ynT0TRN8vPzyc3NZd26dcyfPx/bthMDO04Wo1OI1Ql2A4HAsA0+9XZQyHnMp33FkgM6sO3LeliDlVIcCoVSAtlwOIzP5yMQCCTW+PT7/ei6TigUYs+ePcOW39+d3nzuzinMycWsukphTg52+5PCDB2/jWEYKQ3YOfgmP15SM0aey+VKm1Tk7hxtdT2X9Rb3LTxvPs+dkTvJIQcUHGMd0+3rFNqFZJDBLHsW58bO5bz4eRxpHYmBwQl7TuDdvHd5xnyGu6J38YHrAw63D+dz5ueIESNf5WNj00wzlXYlS/QlrNZX81f9r5xpn8kubRdT1VSgo2CUGzeT1KR+fyfpZLjbpBwDxEjpnAXm9D0gtXBO5yww5//7ko4oIzSir5L3q+TR2IFmKg5VYOv0N5MHiJJX/QgEAok6HwcffPCA3kvTNPx+P36/n9LSUuCTLEZnZHfz5s1Eo1EyMzNTRnX7M12wv99VT8Fu598RPl0XyA6YwLanq007d+6ksbGRKVOmDNq8WKUU7e3tKUFs8nqMgUCA0tLSYb2qM5w0TSMzM5PMzEzKysqA1BTmpqYmampqEvPdnIafnZ3dqxTmzuXfk//t3O/8W1IzRt5Al/uBoZ9j25241hGQW1j73Uf+Zv6Nn7l/xhWxK3hbf5uN7o38KPqjRNXjKa1TOL3pdA7KOoi59lyOsI7AxqZKVdGgNXCYOoyV2koeNB6kgQbOt87nReNFXLi4wryCzdpmZtgzuNS+lNuN29E0jb/F/kYGGf34RtLHcFzB74q0eTHUOvc9ktfiTL6A3peRE6lRIQZL5+JOyYM8zv2DlanY33NwZ5FIJNGvbmpqoqWlBaVUYl30MWPGEAgEUgaFtmzZkmgTkTDEIpC57zLy/dI5i1EpRTgcTozqbt26lRUrVmAYRsqobl8HdgaquwzIT9t83VEZcfVnXuxA1ouFjiIlnVOKbdtOLJ1TWVmZaGh92TFGeo7cYL5/VynMTip2Y2MjtbW1rFu3DsuyyMrKSgl2O6cw768j3NfUDDnxD610SEV29PU1bovcxg3aDeSrfFazGqUU7+vvk0kmk+3JKY+1sNDQWGQs4lnzWXz4+Gb0m/jx85T5FFnuLK6tvZbKjErYe+1GR+ej2EfY2JiY7GY3XryEtTCteitlqozH9MeYpCaxSlvFcn057/AO09V0/MqPl+4zOkb6+NFbIxXYCjHYOo90JWeCQWrfYzD3+f2d8xYuXMjUqVPJycnZJx3xQOq0iu51nm6XHMQmTwcZzOl2yfoT2DrrmCcHssnFU4uKipg4cWIi07Enzvu+/A+T1maNky6IEczt8Sn7bHtvH5uRkUFGRgbFxcVAx3GhpaUlMarrDOz4/f5EoJudnU1mZmaf+roD0ZsLZG+99RbTpk0jKyury0Gh0XjMSPvAdjDmxTpzV3rLtu19Uorb29vJyMggGAySn5/PuHHjEoWNRPfcbjcFBQUUFBQAqcWznJSOZcuWJUa6nWC3P/PjehvsfhpTM4baQNexhZEbsTUwyFf5idfY4drBN73fRKF4q+0t3HSsk2pjE9JCfDPyTcaqsXxkfMRJsZNYZiyjVqvlF+5fUF5Vzp277ky89nP6c6xkJVfaV5JNNmHC/Lf539jYXGhdyEX2RfzM+Bk72cnF9sX8wPoBL+gvsIlNeDQP/2P9T2I0eDQb7sA2ebRMiP7a32jsYI109VfyOS8ejye2wekzdX7sgdBpFZ/oXIDMKZoXCAT2mW5nmuaQ/977e32n/5ccxLa2tuJyuRKjsf3NdIzHYOcWL5MnQWZAEYuAaxiXONd1PTENr6qqCkhdXnPHjh2sXr0aIGVUd6ADAn3VuZ/c2tqactzoqp/c1ehuOku7wHZ/82KTA5C+HJi76+Q4KcXJI7EtLS2JlAJnErqTwz+Y0mXnGM7t6Gr+gm3bifkLTU1NbN++PRH8NjU1JYLdQCDQ5wsJ/UnNkKvcfTdYI7bJ86f7+xoDDWiCsSDj7fHkqbyUZYGq9epEZeVFbYtY3rqc0zJO48/uP/PlyJeZY81h+p5PluNRKG4xbmGdto4X7Bf4T/w/ePBwrH0sLbTwU+unvKG9gQcPK/WVfEH7Au/H3ud8+3zONM/EwqJGq9mn2FVXnzndyYitGA16Go3tfEF0sPfnwXi9rs5Z+7u4mzy6LOe79NXVSKxzkcW5f8+ePTQ1NTFjxowRnfrhbJNToT45pdi2bbKysggEAlRVVfUr07Gzhj0aC/+dzYZqRcBrcMzpFkrBSO/KXdWmCYVCiVHd6upqWltb0XWdjz/+OBHs9nXFkYFQSnUZsHaer5vcT+4ujTldjGhg29O8WOf+zl9gfyR3dp11D5P/4vF4IqW4vLycQCAwpKW9RSpd1xMN2vHee+/h8/nweDyJFGanBHvyyK7P5+tzCknyv2Hf1IzOjz9Q5yEMpnRYx9Z5jYE+P0Nl8Hj4cQDe19/nm95v8uXol7kwfiFfiH2BElWCvjfPeL2+njBhPHj4beS3LG9YTjQQ5Xb37YxT4/ia9TV+avyUcjqW0mqllTBhlmpLeV97nx+bP2YHO3DjZqwaixs3Ghq/tH7JHvYwTo3jef15MlQGx6pjB/TZRpIEtiLdJPc/Oi9lsmbNGnw+HxUVFaNmlKK7Y2dP5zyn0+qc9+R8l15eeuklqqqqKCkpSZlul/ybJhd3Mk1zxI61zogxwKpVqwiFQinFUwsKChg/fvyQZDq+8bTBmmUZuLytFFU4UwIG9S0GhaZ1LD2UlZVFRUUFAFu3bk2sAlJbW8vatWsTK44kpzAPVZHZ7vaXngaF9lfEdaTr2gxbYNufebED/VKcxZkbGhpobW3l7bffpq2tDa/XSzAYJDc3lzFjxpCZmTki627ByM+RG+n370kgEEg0/uQU5qamJjZv3kxzc3MihTk52HW7+5Z/0ptg1+nwdHW1aqQbcTpwRmwHclIdrMB2oK+R/PxV+ipatBbeMd7hC/EvcF3supTHzo/P523jbapUFXXU8VruaxS6C/mF+xfEiHGGfQZ/jv+ZGWoGAHfpd/E743cEVIAd2g6usK6ghRa+YH+BIEGqtWrChJmpZgKwne3crt8OGsyLzcOLl/e195moJhJkkCpjDAMJbMVI6qmATlejsc4xYKT6Bf3V2zbWU6e1p/PdaAnyDxTf+973uPLKKzn//PN7lfI+GFlPvdE507GpqYlQKJRoLz6fj7KysiHJdOzKlENsWtvaGH9IDWMmZffuSUqBvRnIBD1vvw8fKoZh4HK5mDBhwt7N+mTFkcbGRtavX09LSwsejycl0A0EAoNyfOrtuXkg/eThPm4MSWA7GPNi+/OeTj57ckqxruuJNWInTJhAIBDoc+AjRkbyPtFdCrMzWb+pqYkdO3bQ1tZGRkbGPlWY+3oA2F8jrq2tZePGjcyZMwdIncfyaZx3PZqLR3XehmSfi3+OClXBLGsWAE+YT2Bicm78XABujd7KImMRZ8XP4jfu3/BE+ROc23QuRXYRtXoti/RFfJ2vc746n69ZX+Ml4yXChCmjjNPs0/iN8RsmqUkECRImzFfNrwLwp9ifKN77z9n22fjxEyLEf/T/8L/G/zJbzeY38d+k9YWpZBLYiuHUuf+R3OnqTf9jsI5Fw20gFxU7P1/qU4w8Z7WB3s43Har9NjnT0eljO0VAnQEIJ6X4tddeo7y8fFiXsZw808b0h6jd3Zdn1aPF3wItE6WfOVSb1iud+7qdVxyJx+OJ6XoNDQ1s3LiRWCyWKMLa3wxGGNi5OV2PG4MS2A7VvNieOD908l8sFsPv9xMMBhMT0H0+H7W1tWzevJn8/PxB+LSDJ11OBOmyHcl609iSJ+s7nCrMTU1N1NXVsX79euLxeEoV5v6uN5bciG3bJhqNJm5z9vfkxcs/TdJhHdvBeg3n+eu0dVyecTlnxM/gWOtYdmu7uc1zGwrFcfHjyCWXSlVJZbwS6Fj79sPWDzm09VC+2fZN1hnreNL9JM/pz/GI9ggH2QdRQw0mJm7cvK29zf36/TRpTfw6/mvOsc9hvj2fZprJpaOUo47OV+2vspWtXGleiY6ODx8H2QdxrXktdpbNf/FfA/q8w2EkggTpbH86dB6N7ZwN1rlTNZr3iQ02tCmNabpC7/QxBruN9TSqmzyFbNOmTUyYMAHDMCSLaZA5a7P21mCc/5ziqclBrFM8NRAIkJeXt9/iqcN9vFcKnn44l/o9fqZOoZeVkIOgT0TpOUO9eQNmmia5ubnk5nZ8MGfEPLkIq5PBmDyqGwwGe7wokpwtO1h6c9xIfsxQTH3od2D7+uuvo+s6Bx10EI2NjSnrO3Xe2IFKHpp3gtjW1lY8Hk9iVK6ysrLbkbkRO7jWxSHbAGPvj7g5gr6qHevILLT6OOSNfOXOkX7/7vT3KlJXVZiTDwDOemNOUJw8stuXkXyndH5yA+1PJecDhWmaaTFiO9C2nrwNm/RNtNLK28bbABSoAi6LXYaFRQ6fnAxbaOGSjEsotou5ecPNZPozySCDmWoms63ZzFfzMZTBk/qT7NB24MNHNtlMUBM4xj6GV/VXuc+4j3Ptc/mR9aPE69rYibm8btwYGFSoCu6K30U99RxuHE6dr445wTl8hs8M6HMPNeeijxAD1VU22HAtZzLSPrJ0wijKdOjcHR/qc3lXozPRaJQNGzYwfvx4WVt3CPR1fXhd1/uUiqxUx3qsnVOKdV1PVCkuKirqU6bjSP3GGX4bs8nG7G3ms2aizEOHdJt6oz/tVtM0fD4fPp+PkpIS4JNlk5zCVFu3biUcDpOZmZkS6CYvNzQUgW1X29r5PTqnMC9ZsoSqqipyc3MHZapfvwPbxx57DI/HQ3l5OWvXruWII47o85t3p6uUYoCsrCyCwSDjxo0jEAjg8Xh69XojkVakv9WC+WIz1nFZ2FMyMP5aj/FuCH1dGHu8By2isE7OQKsCWi30LVHsiV4w5cAPg5e62NUBwElhdoLdnTt30tramljOKbkKc3cpzNJRT5VOxaMGa8T2BOsE7oncwwR7AtV6NVu1rRTbxfzU81PK7DK+EP8CAPVaPeu19Sx0LcSutBmvxnMt1xIkiIbGEfYRXGVeRR11lKkyDlWHclv8Nsoo40fWj3hePc90NT1lG75nfI839Td5MPYg4xlPEUU8EX8CA4N/6P/gSf1JJqqJ+GwfESMyoM87HNL1AppIb/sbjYVPgtjBXM4kXQOwIwybNiC7m/tHaruTz5PdpSJ2DnYlhXn/3G73oI7YOpmOyf1rp3hqIBCgrKyMYDA4oOKpI9Hf1jQ47eJGanfvwZ/Vy4Vr08hgtAHDMPYpwhoOhxP93JqaGlauXJkyqJOVlTVo798XnYPd9vb2RJ/fOd53d5GsN+uD9zuwdebUuVyuAQUhTiW15L/kxZmLi4uZNGlSv1JHHcPe0KI2rgdr0Ze1YbvA9e8G9A9b0epi6DvjaFvDaDr4PwwxryADPbaa1rhB00UFVLa2o8rcxK4oGLYgNx1PLEM5Jy85hbmysiONNBaLpaQwb9iwITGHITnYdfZD27YlsE1yIM6x1dA43DocgMu9l9OmtTE/Ph8DgyatKfG4MlVGsSpmBzt4Ke8lFrOYYruYi+2LMTHx4iVAgDJVxlXWVUxUE2mnnZ8YP+Ep/Smmq+l8Mf7FxOs9oz3Dw/rDBAh0vM/ej+MsPfSB9gG7tF1cY11DZX0lbQ1t/f68w0UuBIne6Dwa6/QHsrKyhn00Nh0vxpTspwkN97m8q/N0T6mIvammmo79kZHSnxHb5IrXra2tKYGsUzw1EAiQk5MzZMVTR2bqCWj64NXXGC5D2df1er14vV6KioqAT9LMnVHdHTt2ALB48WJycnIS/dzhXG7I2a6elhxyLpJpmtarfbXfga3H46GxsTHRye+N5Mq2ySnFLpcrMUJWXl5OVlZWnxdn7slQB7ba7hgoUEV7cyBMDTJ17LFuzI/b0XZFsTNBb4lDGLQoKA/ojTbZtS6UCuNTUP8LaC6G4NFeaLEgJ+2WGR42w11sxuVykZ+fn5iHnZzC3NTUtE8Ks6ZpxGIxIpFIrzMHDmTpEtgO5ohtsrPjZ7NCX8GN0Ru5MnYllaoycd+/zH+xzFgGwBENRxD1RPle8Hvcq+7l3fi7WFicY5/DmfaZmHsPufca9/KI/ghhLcxsNTvxWmHC/ND8IREtwlHWUSn3Oa6wrqBElXCGfQYhK8QKbcWAPu9wSMcgQYys3ozG1tbW0tzcPGLrco4mI9HGenOe7k+Bma5Gdj+NPB5Pr0Zsk4unRiIR3n//fVpaWtA0LZFSPFzFU0dixLYvnDosoVAIv99PdnZ2ysBZOm/7QCWnmFdWVhKLxXj55ZeZPHkyLS0t7Nq1izVr1mDbdmJAxwl2h7IYWHcDRZ3r2vTWgEZso9FoyhWizpwdKHk0VimVGAUbM2ZMIqV4qA9cQ7azhm3MP+0BBbFritCaLfT1YSI3l+K6ayfGyw3oa+NoOhChY/TFBs3q+G9j72a1mhbN3maIZZPlUmz9/ds0fyubgzqlKH5ajHQV1e5SmJ2rXTU1NbS1tfHqq6/i9XrJzs4mLy+PsWPHjtg2jyQnc8OyrH5flEqHwLa7fe7K2JWJ/85W2Sn3VVqVFNvFtGgtrMtcx5z2OYS0EDvYwTa2caXrSt7X3udL1pf4ufVzAE61T+U/2n9YxzpaaKGRRj7WPmaemsfJ9sls1DZym3UbT+hPkKNyWKAWJN7vAeMBFuuLqaSSIzii3591OI10exYjr7sik06HJTnlzPnvwVr6L905F1I9Hk+/O5Aj0cb6+549BbtdrdX6aV1bt7tU5Hg8nphOlVw81ev1opSipKSEKVOm9KtK7kCNVGDb1fs6g2nOyhlNTU20t7cnMkIbGxtZuXIlhmEk6gQ1Nzfj8Xg+FRlGzvdVUFBAcXFx4rbW1tbEqO7atWsJhUKJfm5vpur1ZzsGcz8d0IitUxXWqXQVCoVSGlry4syFhYVMmDABv98/7DvMkDY0t4YKGNBsoa1uw31vLSjQC3TcD+6B9r3bkPIkG1spGjDZkdfC+GYvi2av4enTlpA5s4gvv3scq81q3jK3cVBsaAPbdL06lY4d4eSrXbZt09DQwPTp0xNl2PsyF+ZA41wFjkaj/Q5se7pI1luDVayuL55wP4GOzmR7MoH2AJPbJ3NZ7DJcuDjFfUoiEJ6kJiWec5A6iEvtS7nevJ4P+IBbjVt5XX+dq6yr+In1E841z2WWexZRokxQEzgydiQ+fAAcoY5gl9rFVHvqgD/rcEnH9iyGjpNy2tO69clLpHW3b4zUPjPU79u5zkNTU1Pi+3GWq3NSA5PTsNPNYLbrnlKYnYshyY/9NBSmcrvdhMNhGhoaaGtr26d4aiAQSCmeGgqFWL58eWJJxJEwkiO2SikaGhoSQWxTUxO2bRMIBAgGg0ycOJFgMIjL5UrMy7dtO9EOd+/ezbJlyxIjljk5OYl22O16vPYmdOtjbHMBaL5+bfNIpkFD98sNlZeXAx0XUpzvKHm1EWf/c4Ld/s7NHuypff3qgTo7QlNTE0888QRVVVW88cYbmKaZiOSd5XYGM6W4v4a0obXamP9pRFsTxny+Ea0uhnLruDZFEkHtJ2x2FNdx/1VPs+C5Q3lzSi012e00+mNsX/wZdk5+jpJjd7Pi2ENRejmfteYMzTZ3ko4nhHQNuB3OwcjlcpGXl0dubu6wLIyerpyD/kDSkdN5xNZh27Btg0Z+scKX2XHb0dbRrNHXMD8+n/sC9/FR8CMWRRbxT9c/eVo9zRZtCx481Gg1KBQaGqu11ezUdvKb2G+wNRsXLv7JP6nWqrlPu49X9FeIE6dIFXGGfQZNNBEnToAAZ9hncIZ9BgB71J5+f9bhJIHtga270Vgn3XggI7Aj2UkeLE7H0OkcNjc3o+t6okNYVVWVGAFx1qrctWsX1dXVaJqW0snubgmPdE1F7q/epDBXV1dTUFBAXl7eAbW2bmtrK7fddhtPP/00dXV1ZGdns2DBAgKBQI/FU/uasjkUhvM7d9Kvm5qaqK2tJRwOs2LFCrKzs8nNzWXs2LE9LksEHRfYnLZVXV3N/PnzsW070Q5XrVpFW1sbmZmZicfl5OTg9Xo7jmnRx9Hsd1FaFspM79UJOuttVWTTNMnLyyMvLy/xvPb29sSo7saNG2lpacHlcqUEuvtbbih5O3qz3/S2Tfc56nz33Xc55ZRTaGlpoaysjHnz5lFVVcVhhx02oEpqQ2nQAtvGOPgNcGkQsTFebUZb247+QRtagwVb9861NUDbp39vE9Pi/PPMhayaspXcPdk8VWiwOZaFWjsFLag4+cNrWXBWExPjk3jTfJNyu2Lg2zxKpXuxGSkelcoJbAdSGTkdikft7/mb1+i89pTB2Kk2x53ZMYJwVvwsClQBV3mvImyHOaX+FHIychirxnK+fT7P6s+yVdvK3/W/803rmwQIcKdxJy/pL3E91/N56/O8oL9AGWU8aTxJ3IgTI8ZMeyb/iv+LMGHOMs8CDRbFFvG29jZlqozxjB/Q5xxOIxXYpuP5aLRLHo11RmLj8XhK0DFYxYDSfb5ed5wOt9PxS07lKyoqYvLkyfukiTqj18m1HpzpLw0NDTQ2NrJt2zbC4XBipMQZTcrIyEi8xnAa7nbdOdhtampKpJDub43M0VSYyuv10tjYyLRp08jPz+fGG2/sVYCQDu1lqLZBKZXICnX+nOVsgsEgubm5hEIh5syZM+BjTucRy0gkQkNDAw0NDWzevJlly5bh8XjIzs6mOH8muQEfLu8s+vOu6TBi21fJU/Wc7ACnELBzzNu8eXOi8F/ysppdFQIe8RHbqVOn8sILL7Bw4UL+85//8PWvf50333xzWObJ9tegjATtjGE+UYcqcRG/IA/z4T24/lALloLQ3hQZm0/mz+6lsGn3RMiIuIlmxFl09Ep2Fzay+Ihl1NVOIpTZiAsT/zOn0vC599FVDtVGNc+Zz/EUT3Fl7EpOtk4e0Lb3ZKQPgt1J1+1ySGCb6tMyYptbaFMyRqdi/Cfv8Vfzr/zF/AuVdiUn7zyZ6+quQx+n8xP3T6jX6rnduh0Aj/IQIMAWtpCv8jnZOpnNbGaWaxZxLc5J9kmcZJ/Ek/qTGJrBsepYCihgE5tYo6/BwOCf+j/5jfEbfMrHc/HnerXN6WK0bKdINZSjsfszkvP1eiu5KKbTqUteP7Kqqors7Ox+FRlMnv5SVVUFkEhNbWhoSIyUeDwebNtm+/btFBYWDltV05HOxHAuoiR/1s4pzE41VbfbPejVf4eKYRjce++9fPe736WmpqbXmY+DMZ1nMAzGNiQvTeRkOQCJizolJSUpWaE7duygra1tSPZHj8dDcXFxYh6qk4HR0NDA1h35LFtlAu8nLjT1lFmRTpKP3wPlzFN2LjRBx7HKOSZu27YtMZ85eaWR7OzskZ9jm5WVxaGHHsqSJUsSc2whvQOR/n5h2uYI+vYY1hwfyq2BS0PpYD6xB/Of9egbIyhdQcdALZoJdJpmGTcs2n0Rop4Y7QUWK6ZtZu2EbZgtmRj/GI9r3QRaT3iF6IR1xOdk8kfXFmZZszjeOp6njad5xXilV4Ft5yvEzppWzo422ir3jvQJc39s207r7RtuzhzbdAhsB6qnbQjmwin/lToqfY/rHlYbq7k1fCuT3zuRpmyTzZbGOZGbaZn1PuV6Ob+M/IaZH3yO6WPgjvI7+I/+H75mfY1d2i4iRGinnSPtI7navpqbrZv5nPk53tHfYYe1gzuMO7CxMTCwlEUttfg1P400DvizAtjY6AxtJzjd27Po4IzGJgey27dvT6Q+DuZobG+MdNDUle7mxzod7smTJw9pp9br9VJSUpIoauh0st977z3q6+vZvHkzSqlESqDz1+0cwQEY6Xbd1Xm4q7m6I52e218ej6dP59R0SUXu63lcKZVYc9X5c7IcgsEgBQUFTJgwgczMzLQ4j3SVmtvS0pK44LR161ai0WhKZkV3/fCRjJ2G+r29Xm/KBQHn2OnEKdu3b6etrWO5wjVr1pCbm9tjXYHe/vb9PvI662s5V8pGujH1pL8dZuPtENrmKHaBCV6w66K4H9yFFrLB1lAxhRaFRJ+wUxamTZz6nBb25DXx/txqfnTT0zToNu26grxm/BU1tM0+HrP+AUoe38RNU2t4sLGOWe6D8Luy+bf5bzLI2Ge7Oue3O5Xekq8QG4ZBQ0MD69atIxQK4fP5UuYHJKdBpcOBorORPmHuT1ep0qN5Ts9AOSM26RDYDuWIbTLbhrdeMAgf78aV68JqzuC9l3Px+TWmzNDJrzmFz+Wewj/H3cNTvidZPPljTt60mHNLz2W5vhwXLm62buYR4xGCBCmlFIXCwCBKlD3s4Z/6P5msJuPCRZbK4sfmj2nQGqi0KwkRwqMGdsHqMf0xfmv8lh/Ff8Rx6rgBvVZP0r09f1olF3iyLItYLJYYiXV+s82bNzNx4sQRqbAKI3/RvKv5scmjDlVVVcO+7mMyp5MNMGPGDDIyMlLSl7dv3057e3siJdAZVdrm8VGvNOYYClc/f9aRvsCb7lOWBspZfaS3RksqspNinxzIRqPRRFrxmDFjCAaDfRqQGcnPrmlaSmaFE6g7gW5X/XAnLdd5/kgY7vbjLJfp1BWAjlHd1157DY/Hw86dO6murgbYZ7mhvlyYG1BgG4lEEl/KSDemnvRnh9d2RLEnedF8OsYbzbju3om2vaPTrrk1rEITY+feB9uAFwjD3rFblKb4+7kL2Vq6m3P+dTTTV4wl5K0jd1sJhNzY5VuY/8KhvHH1fMxt+ZzheYm3n/oJ5uQwJzyusePJHzDdms7R1tEpBwEnkI3H44kT1aRJk/a5Qux2uxO577FYLNHAtm3bxooVK3C5XOTk5BCPxzEMY1hSa5v2/gTBXrbhdO4ISyryvvq6mHxn6TDHti/bEGmHj9c3sKD5xxReuISLjPP4+5g9/PbiL5KT7eXeVU9TXJnBoepQvIab9vwdjM2KYasc1rGOO407ucS+hFtjt/Jn48/cZNxEhAjn2edxf/x+Puv6LI8bj/No7FFmxWZxp3EnC/WFzLBncE/8Hsop5wnPE7xV+RZzmYuXvi8Tsl3bjkKxW9vdcegaIsMd2Kbz+WikdDUa68yN7VypOHk01mkTIzVHerh/y0gkQltbG7FYjHfffbdX82PThXNxNSsri6ysLCorO9bbdlICk+cIvldYDlkB3C4Ynx3od3A+0iO2B/J5uLvlfrqT3B8fqd+lqzYbi8US8y+dlVOSg5yysrJBXT5mpGmaRkZGBhkZGSn9cKcN1tTUJNJyneC9sbGRQCAwrPtzOpwnnbhlwoQJiWUjnWU1GxsbWbNmDaFQiIyMDA499NBeXewYlOV+4AAYsW23Ia4gy0D/sBX3Pbuxgzr6+jDsjEGLhWaD8muoqELf8UkHXmnQHrAwVBxsCPtihH1RHv38y1h6nIqaQpqCrbRntFM/fS2X3j+BKx8/msrVGvc8u5Wn9Wz826dy0eILufPbf8S9rR5/vZ+rGq+iqamJhU0LE5URg8EgFRUVZGVl9fog4HK5KCwspLCwEPhkkreTMhEOh3n55ZdTUiaCwSBmC2AAgYGnVEUVvBzv2FfONPd/hTjdR3gO9CvF/WGa5ogHtsPZEV63q4lfXf0ZMjJ0Fsdfx+fxMf0zO9mZt46NZjvhSdXo+izaaGOemssX1RfxugwetB+m2QpRaJfw562v8UDF/Xj2HooLVSHfMr7Fam01l1qXoqFRSinlqpwmu4k92h4uty/nN8Zv2KxtpimziQZXA8u0ZcxVc/v8Gb5ufZ3T7dNTliIaCuneng9EnZfbcebGQurcqv3NjR3JeXtD3Z6d+bFOh9uZH+tyufB4PAOaHzuc9lfdtHNKoGVZjG9qpqapBXtPLe+trUYplRgl2e8SJ3uN9Ihtb99/tGZT9ScVGTq+l5EMEiORCDt27EiMxra2tpKRkUEwGEz7i0NDdbxxuVwUFBRQUFAAdPxGzc3NrF+/nubmZt5//30sy+r9MkODZKR/A+ec5PSnky/MVVR0FNB1Lgr0do3vAaciOxuUDpF/T3rcPlt1FIKKKGKnBzEe3wPr29EyDfQ17dBgoSk6CkM1q46RjaQCUSgLmmNEdQtf1M2SOav53dVP8868lXgiJl/99a9ozYhyyoPnUDN9DVc/MYmcxlb8rvcp2jwZN4fTTAGBeAmXV3+LpWdmkfXT1UTOyiR/TD7jx48f1LkFyZO84/E4kUiEMWPGpIzqxhsjTHs2gDfTS+zGErLzBzZP1wQKtY71fHtzuE33jvCBfqW4rzStY+mjAyGw7e3zq9/1YOe7cbtcGHv3arMxl0BTCa7sejbpm5jFLB4wHmClvpL1Oxv47qq/89f5f6PNaGVPqJVvlV6BaRt8XX2Z78a/i47OrfqttNPOZ9RnmKwmJ95vrj2XdqOdm42badFaGKfGcW3rtazftZ5ZE2b167O6cDFFTenXc/si3dvzaNfb0dj+rPk50il+gyl5jpfT6e5qfuyGDRvQNI2ioqJBfX8ApeBNZeBDMUcfmQEBwzCYkJvDhNwcGFuJUorW1tZEHyB5iZPkQLdzMDLS7fpAv8Dc11Tkkcig7DznvL29nerq6sTasePGjSMYDCbqcAyVdEjD7gtnuS9nqapZs2bR2tra62WGBsNIX5iC3i055Cyr2duLNYMS2KbDhPWe7HeHjysI2eDR8Ny+A/2jdqwxbvSWOEpTaICK0BHcdsHGpjWzjXZflLaYm9r8RmKeOO2ZUeoLQ+RWT+S4F+bx5V9/lmIrxvqDdrC9wOSIJTvJxMdYmjiHD3FbO6l4+zQqy7y4l0aIN/iJfSMPu3zfebaDSdf1fVKX2htbsZZuodVqZ+36dYSWhfD7/SlV3/pyxU3X4Ciz9wedkT5h7k86HBDSTboEtsP1/OOPz+DxVW8ydZaN5lGs0dewfmUmx//1z4y5aAOnzl4AOvyP9T+8pF5iofUerx/+FFkqCx2dXcENoDT8dh43WDfwkfYRFhbfjX+XIopSglqAHHIIEaJBayBX5fJ56/OcFj6N6p3VuCYM7VXdgRqJ9jxaR2n64oknnqCsrIzp06f3azS2N0b6/D6QY4IzPzY5BXKk58fuRuNxy0TXYKYWwRyEXXQwjpvOEifOKEkkEkl0srdu3cry5csTU5icPsBIX+A90M/DfZ3eMxzFXKPRaMrc2JaWlkSbCgaDtLa2Mm7cuCG5KJTO9NjToNqBVpQxHaVPQrO3o4y9F47t7YCJFn8ZI74Qy3UumlqPRy9F0ypS2mBvlhlyAt3uCi311ki3H+fcMqJVkR1OKrJzxSydr5QkN/auvjz9wzaIWthzA2i1MbTtTRgtcfS6OLSD8nYd1CpsbN2itrCZl0/8gIywh9r8BsKeKDPWjWfX8TE8K6bTvuAX7MrczcrNBkfyIQdtfYXtxeXkNnq5nCe4lA24CADT8GyxiI8zUBoYb4VQpXVEby0fsu+mu98tI9sPP5hKJlBEx8HMOck583Tdbvc+DSy17H7Hv/uzv6Z7YHugXynuj3RIRYahXcc2WV6RIq/IAAxu9NzIv81/c9lxX+WY+EWcUHoyrY1gZyryM/K52rqaX5UfRLvWyM2Rb3M/92JicqV9JeMYRwstXKNdx3o24LeyuNu4nelqesr7GRicYZ/B3cbdNGvNXGVfRatqxcLix8aP8ePnG9Y30Pq1mt7QSvf2PFr96U9/4vDDD+eggw7q12hsb4z0iG1f3tsJxpxg1pmbFQwGKS4uTosUyAIUpxgWmahBCWqTDebn8ng8FBUVJQKU5ClM9fX1bNiwgXg8jq7rVFdXJwLeoR6ZS3agn4f7Osd2sKcGdl7Kqrm5mba2Nvx+P4FAgNLSUoLBIBkZGYn33r1794jNxx+x11DNmOFvgIqgNC9oQZRWhG5vIJbxO5Reiit0KhptQAwIocVfRNOgyJ/Drvrfdfmy3S0z1NjYSG1tLWvWrAHYdxphLyuyp8OFocFccsgxoBFbp8GN9BXd/dlfYKvK3ahxGdhVHpjoxSh0QdiCtr3PD3f9ujFXnNriRiLFGuHsONPeqqKuoJnNcxsIhLI4++nLefEHFxIO+YjXTeJD1mHxdyBM6c4QOouBEkwmA16Uk874Zgtaq0L5dKwJ6TG3x+127zNP11nHq66ujnXr1iWWGMjJySE7J4f3M3OI6QYnmQp3H/fZdO8Ip8MBId24XC7i8fj+H9iNwTiODGdV5GRFqog4cYo9Wcw+tplGl8H3lv6ZlqLNrJ/9DDfHb2a+ms8SlvCuazF/if8FHz4mqAkA1NbFCNQegpkXoj3YRDBcDBnwd/3v+JSfU1THkl9fs77GH4w/kEkmIUJoaDS4G/i3/m8Uiqutq/Hj7/fnHyrp3p5HK2cO3lDOpxvpwLY73c2PzcrK6ndl1d6870DpGpyp9f842ZOh3O7O61Qqpdi0aRNbtmwhGo1SXV1Na2trSmaXU/l1qLZrpEeMh1p/59j2t706Fy+SR2Rt206kFU+YMGG/FWpH8ngxcgNsWVjmxWj2O6A8KGMsmmoE1gEBsG00tndsIz7ADUSw9SNoCM9iQuH30KOnY7uvSXnVzTZcHzE5x7T5osse1GWGHCN9Xh6KNjwoga2u66MmsO2KKnMTvygPWi1cTzWg7Y6h3ICLjrm0esc0WmfUVhmg2eAy3UTmZJBdk8FJrx9GvbuReWtmcYRxIvoYP/9aPY7arQHiMQ0fEX7J3fhpRJGLwSFoVKOYAugoZ5ylDZStUAbYlS60Vgvzwd3EL8gdlCJOPX0/fWEYBrm5ueTm5gIkKpk5DWzLtm287cvG7fdTYdgU53Q0st5ezU33jnB3V4rTeZuH0qdxju1LxkssN5ZzbfRavh39NtdHr2dz82a2rPNyl/cRFp14B7YnjBcXH2gfcJg6jA3aBjZqG3G1Z5LfOo7fNDxD+ViNBZ7TOGn9FWwvWkahXcmxGfP4vvF97tDvxBfO4ZUNq5g+0U8ppSyOLiaiRSiiiN3spiBWwK3WrXiVN22DWvj0to2h1NcRnf4Y7oysiIJaNMq1jnOArRTv2DoFyiIv1JwSyDqd7qFYPzads9A6G4lt1TQNj8eD1+tlxowZQGpmV3Ll1+T05cGqfpu8JNWBqj/L/fTlAnEkEtknrdjlchEMBsnNzWXs2LFkZmb2KfAYbXNdB4Wmocwj0MN/Bgy0+Eo01YbSxmO2X4QiE6cwj0aIjkozCkWYmF1B3L+Dk6MnMsc2ucv7yUWv922dalvj73GdL7r2/U0HssyQs5+MdPvpbRvuyz41aIFtOu/IvbmKpS9vQ38nhLY2gtZuo4VBmYAfiIG2d/QWA6w8oB0i2TYZNW6MJo3MYC5ZVcVwcj7m2YWsWOZi62susmN7OJiPafWXkNNqAaXY6Bi8gGI2GvNQeNCcxXCdfdcErdbCfdcuyDIxqsNEfloBRnoexLtaYmB2Wzv1jY20N9Szdu1aQqFP5uk6f8kpLMnS/YR1oF8p7o/BCGwHY8R2uJ7/bc+3CWthZlozOd46Hg8dV0XbWw2mrT6b+sNfoz5jPZ+zPsdvjd9iWxpfXnkbz5X9idNbP09b1h7CwRDZehZLMufxpdPHs8mcwRx7DtjQQgtZVpDJm49nV3sD95r/w2etz7JALdhnaZ5T7FMG9LmHkgS2Q2c4Atvetksz/kc0osSMK0DTMK1/YthvETG/A1ruPo9/2zZYonSu1GNkJO0aN1gePlIGv6CVkuZm1uhu7m2KY0Yj/GTN0sT82DFjxvS5032gSpcRss6ZXbZtJy5CNDQ0sGnTJmKx2D7Vl/szqp5cFK03RuPxpz/tu7vA0ikQllw4LRwOJ9aOLS8vJxgMDrg40UgFtsP9+yrV8ZfY/ex1aKoOy3U+urUUpRpAbQIi6GzY+yBntMyLbRyE7f48XuMDWnSLepXHG1bqZzjLsLHdMMfoXb+oL8sMOQNNTvX8kTqO9uW9e/sbD2iO7WgqHtWjVgvzj3swX2gCQAV1tCa7Y3mfCNg+sFygt9pEc2xCE3W0fJPIuXnkbDZxRTTiC4KoaT7w6lgWvPx3g/qVIW7nRgrZSWt7Oe0cT4xiMliJwVIMFgB5ic1IHAo0ULkGmg3x2X4Imqg8k6GYOjeUB6BsXwbZvgwoLQFSr+Y6xSjcbnfK1dzkifDpfCKSwHZfpmkOOBV5NI3Y3hS9iQ+ND5lnzUvcFotqrF+ewcziSm7zPIUVi+DHTx11PBJ/nLvG34TmipOh5+JyaRRESvms61QaXY24cPGb+G8Sr3Vr68/Y2hThw7GvsNB4gOf159nDHhbEFwzo8w23kQps0/n4MVicWhdDqVdtSjXhtu4GdOLGGShl4ol9HdCI6ydj6XMw7HewtNkY6iMs/TC+bxWzU2mM12xO1SzC4TBNTU0oLZM2t59V1e9jx8LkoTHOgJkBL0cdddSn4nftr+Hv3Pc8x1XX9cRF7LFjx6akjzc0NCQuePt8vpTUyd6kLw9F0Zl04/Sz+3Kh3xloisfj+6QVA4m04uLi4kHNcHCMdJXsnliWlaiK3tzcnBjJzM3N7dPFFcuC71xs0t4Kv3h0K5mu+9Hjz4CWgTIOQdkN6KyjY6QqTkdAa2MZF6PMOejWv4mb3+L3ajrZ/pf5HNX8Tf9/+DJ+mfI+pgbndzFS2xfdLTPU0NDAzp07iUQivPTSS8O+zJBjKEaNZcQWwG+gJnmxV4cJTzKItoRxLw5jNtjUT44ROsyDMclH9lYT99Rs/Edno2mQuS2GsbYR+1A/anZm4uW2b9ZYu8wg3BjGRRQXcYL2Jpp5jFV8jykUUcZ/ARNRtAMdz9XoCG5VroZ1QhBrpg/rMwHUeG/HnaP8AN7TPN09e/akzNMFaGhooLCwMC0X7U6HFI50kw6pyDCwizV9+U3Pj5/P+fHzU25rbzXYXeNha9GH/Cbzq3xTfYML7Qs5zT6NR1x/wtbiGJrOFeGr0fzNZLgzCKgAlxmX4cbN07Gn8eGjllr+0PQM65triWfrzPLOIsfK4QT7hEH7rMNFRmyHTl9TFfujV+1SCxI1bwQVR1GIrlYBOUAcSz8ad/xnmNaz2NpENHYTM87hy9EreT0GOTvW81ZDfWJ+7PXBIN/NzqZ91kzuj5lMW7eCPwWG9yLicIw6OUFeQ0NDYhTN5XKRm5ubsrRHX4xEYNsXmqbh9/vx+/2UlZUBn1zwbmxsZPv27axatQrDMBJzdJ2COJ37AX0dsR2Nejtiq5RKFE6zbZvly5fT1taG1+slGAySn9+xbKTf7x+W7ytdzktOH9PZv5qbmzFNM7FfRaNRNmzYwMcff4zf70cpxe7duykuLu6x7dkWNO6BeFxDjz+Nrh5CoxEIoMfeA3sT0IYCNOJ0pB7bGNYTrNIP5UVrHsfaf+H7ahaWfienWf9mhp6DNQy7srPMUHZ2NpmZmaxevZpDDjlkWJcZSjYUBeAGFNg66+aNlhHbzo0tZaL8jAaIh2gttcnKC1A5PoOsWhdZl5QQmNEReJr/bsB4o4V4sRdrfhZaTQyyDFRFx5WelkbYs0unqU6hG4rNjfnEMWkhi0L2YBDnEHaQTT6KAjTNRlOdroroQL4bpcD9293Yr7YQ+WkFauzQFZEaqQ5nd/N06+rqqKurY/Xq1SxdupRAIJDSwIaz6mJ3OjfGdDmQj6R0CGyHc8S2K4GcOKd8vpaF81+lRt/GM+oZLrQvZIFawA3qG6xjHYtaP+SdZU0sO/Yh2swWAgTIVbnMV/MT6cz3GvfyYO6jtPniFOo5HN22gBMifrKywbbhzed1TJdi/MHpHzBKYDt0vF4v9fX1Q/oevb1wHTcuTPy3rU1jketJclU9460HiTOLJvtZXqSAo9v38I+WbKKNH/JN70rwHIk+ZSr3ZhYy31RM0eLEgBdtF68qnYacIi4H7oq7WI/OT4wImcOwKw32Mb1zINvQ0IBlWYm03PLycpRS1NfXs3HjRj7++GN8Pl8i0M3NzSUjo+ul/0YyFXmgndKu0pebm5sT35FTnCq5IE52dnbieHKgB7ZdnVNt2yYUCqWMxkajUTIzO/qqRUVFlJaW9ivFe6BGMhVZKcWePXsSgWxLS0ti9Y6ioiKmTJmSNP1NZ/GLbnLzFYtehEmzmvAWvMW2bdtYvXp1ou05f8mBrsul+Pmfa3HzFD73O2hWx2i4ZZ6Pbr+MpvYu7UOEjhFbbe9fOzdZ83hLm0SM57mMP5ClQrSHTsAbuHTYvzOn/Xa3zFBjY2NimSEnu3KwlhlypFXxKKfBRCKRUTNiG4vFEoGsc/UmMVG+JJ/sqRM+uaI12+4oIlXxSRBlHeSDdht7YscObs/0YU/2grfjR3n5HyYr3tdZsURj0xqTU+2nyaaRLELoBHGho7EYRTEaM1HKg5Y0Wc52geYGLNAshVYfQ18FqrsFdA8wzjzdjIwMVq9ezfz587FtOzERvq/zdIeSjNjuK10C25F4fjvtWMrCsiz8OXWcvPFI7B3NzGuZR3VWNbm5uXw/5/vEzTj3r3yT5ueOZPlxD2FjEyKEDx+lqhRjb2X0E9tP4/XatVQHPkA3bf71pzjaHp1zr7RxuWHdMtAMjYrJsPqDbKwmnSNPtknHPl46nxtGu+Ease3LhWttQ4TVtVEunHkwBntYHz+H9dsu4K6iW3jWdzgn+F5mq7+C94sP58vad9C1LbyqzedZdRbvxxX3ai7CaPzOaCcci1K0eyu/KivlAdtFAYplus4R2shcSH/DNnjKNvmKEWXCfs7LyXManU6iE8jm5ORQXl5OIBBIdOqcAnzO8jrO3Lj6+vrE1B2Px5Myouuk7I5kYDvY58HkEaUxY8aglKK9vT3xPToFcZxAY9u2beTk5JCZmdltvY7Rymnf4XA4pQJ4c3Mzuq4n1o4tKytLFOV666239lsJdygN5/6YPNq/Z88ewuEwa9euJTs7m7KyMrKzs7u9GLT0bZ3f/NDA7qjpxOY1uZxwqZvFfz+K2UcpZp9SS319PZs2bWLp0qVkZGQkgtyS4F8ozPgrqGY0q5a9uZbY5hy224dyYWw2J/ISP1I30jFa68dZZuUy/oKtTuEMdReTeZtIbCzLGx4jp7xiGL6xVN2136FeZqg329BZX5YEGtCILXTsWOk6YuukZjQ2NgLwzjvvkJGRQXZ2NiUlJUydOrX7oMiroypTDwz2WA/NuR7cXjAtMIy9j1MQboe3XzbZsEpj1zYdFbc5lWcI0kQTWUQxyCZCa24cf/04kr96Rcf/ahbQDrRaELGwy71YCwJQPEgjlDUR9DebsedlwdiOk0I6HvSTU4w8Hk/KRPjkebq1b28h9EY1DYfreKd+krYUCASGPOjs6kr1UKwhOZp82taxdUZgdjft5rMVnyVChF/U/oJcPZeSQAlfCXwFO9Omvr6ej1Z9xKPlj+Lz+vh84420zY3x39FvcVvGj8gkE8/efxzLfj2THefXUpVRyJ+1P7Dcm0OjFyx3mK1Z61h3zdMs8S3ikN0/ZePyHGKNGrPmQ1ZwQB99SIxUyuCnoS2O6BxbpfB8ayva7hgNdxXTFGmhqamJSV9oId+tk/X3TCZnrsOs9zP1v+dx+lcn8eIxNhfrf2SaWsUTXMhntN9jK4Pfqp/Sqp1OW5tGiasJ5aqjJP4k1+nv8xoXcJdy4afj9Hhd3MsfzTDT9OHvcyy1dbYqjfVKZ4Jmdfo6OgJZJ4jtHMhWVlbus9Z7TzrPjXM6l/X19YmUXdM0yc3NJRAIDPpn7Y3hKPKoaRo+nw+fz5dSEGfXrl0sX76cnTt3Ul1djaZp+6QvD/b80eH03HPP8fvf/x5d1znzzDO57bbbCAaDFBUVMWnSpG7nIY90f3woA9vkkcTGxsbEmrrZ2dkUFhZSW1vLEUcc0avXGjPZZuJ0xUGH2mT4YOpsxYvPZ7P0bZPtGzU+e+knWQTxeDyxfvOWLVto862noqiJSHwGOZlLQC9F10KY0btYrl/HekrZwbn8iG+jGItGHeDmOu3XvKKO5nl1FuXGQSh7PLtCV7JPNchh0tv2u79lhrZt20YkEunTMkOOtBqxTQ5s02HEdn9r2gHMmTMn8d/9sXG1zqL/6DTVa0yeqZg802LPTp3qDzWe/rOL3TU6oHD69l4iaGjUU8I7zGY6mziyfiaQDUljtXYm6KFP5tjqe+LEgy6s033ETwwmRoQHStsVg5oY2o4oamzf5u4Mp55SF5PTlvRVdWjNdTTbHprWttFo17IuL3U9XSdtabDn6UrxqH0Nxjq2I52KvL91M50RGOcvHo/jDXrRqjRMw6SktISgHSQ2McYWbQuHGYdRVlbGda7rWKItIS+eR+avv0b9hzGm183klLNP4WB1MNlmIbl/uYK3xmvMX6BQ+XU05G7C684k287mtItslILrXDfykv4SWp6GicmmjHXMPbGSgw8uT8ugFtLz4tmBortUxcHU+fzutIOm2kaq/rOHZr2Z8xu/xHmxL3CMfgzxkwKUfGzz/s42mO6DX12G9sFYzvjuFnb+4wnez5/HofFlXBl7gvsD10Esh7+2X4eV1U5560r+8dZ92Gc+h4cQSs+g0D2LH+s7Wadyuc92swON522DKZqNPkQxVXfHgUuNGIcri1ma3WUga9t2IrW4r4Hs/nTuXDoVh+vr66mtrQXgtdde60ibzMnFn5tLRdbQVo0eqdULXC4X2dnZ6LrOvHnzsG070dFubGxMrOeZlZVFdnY2FRUVfZ6vPNLWrVuXuGDx0EMPUVHRuxG9ke6PD9b+kLx0jdO+nD59dnY248ePTyly5Exh663sPPjJH1L7Kxu276GiJMxBc1KnCJqmmXqRKToWs+1D9Ngutu85lhz/QtyuFmJ2BVNik7g961Fm8XsUOcTd/4Mreh2gsZDDacXNFiop8VwOuCjJuhyPvhy4fyBfV7/0t/12XmYIoL29PRHorl+/npaWlkRxLqc/3tXFmKE4hozaEVtnjoGzwzc1NWFZVrdr2tXU1Ay4yldTHezYqtPaBLEoLHndRXurRlsr7Nii0d4KSmmgwEbnb5zD9bxONlW0+Q8lEpuOsmIoy+wocOyCmGZjticFXV6IT83A+kwA880QxpJW7MMyu9ukPlEH+1E5JpSljgCn68jGfqsinpCNlu/CX+wicNcOKlxepv58DqG2Vurr6/dZsHow5+lKKvK+0iUVebBGbJ05306GgHOMSZ4T56QSLo4txopZ7FQ7CWthPpfxOQCea3mF8Z6ODkkuuXyLb3HsmdNYM0bj2DOO4oLIQXw+7/OsclczQ7Ux7/GLyK9qZtOFD+HODHOUfRIKxaGuQ8kll8/Yn8HG5kfWj8gllxnhg9lQtJExk9I3eJQ5tkNnOJb7AQiHw2zevDlxrrVtm7qSOn78+D/Jb8uhcVqYhngDH6oPmXj8ibjv34Tr1GoefXs1MyqPZEZ+FlpgJ8c/E+fW4muYd9g3+Jf1X7yy6L+xDlvOnMy3yKGWn/uuxYgfiwsb0ImqSRQ2bsDa+f94tODbFFHIUZrBM7ZJHRrn6HH+Y5lcZsYo25saXKs0WoBxA5zC0/k4opRCC4Uoamxk5d7OtlKq3yOyA5Vccbi8vJxXX32VOXPm0NjYyJ9jGvWbdnBU3XYqAlmJObrBYHBQt28kA6jkrKnktFxHckc73ZcP7MrXvvY1Nm3axO9///vESHVvjPQ6sv19/+TBKecveW51b9apHujnNgzFSRdE8flS3+PjtzV2bdNYcJ6NpoFpNOMyanGZpfj8oMVjWHYWNQ03ULNbMd5uZsrktSjdxm77JZgxwOAZdSlbyGM+S4kpA7QwCh1dDw9ou/trMNtFT8sMJReFSx5wCgaDvR4kGpZ1bHVdT3Rkh+MKkVPdLHl+rKZpiU5mVVVVjyeVwWjsqz4yCDVprF2qsWenjsutCLfpeH022t7F5FVSfN/IkbRQSpYRY8Y8HzNX27S3m/jiFmYItBi40fdWTtsrQyd+WT7WWTmoMV5U+SCW3Da1RApyOut1Gf8sA3VUACyFWpCNyjLQDD2xnm5XC1YP1jzdoajkNtqN9sDWtm3a29uJRCJ8/PHHHUuP7B39398xxocPgF3aLly2i0OtQ9kRrufuq4uYMc3gmW/9h8ceDlPoyuHHc2+ifX6EBfm3sMK1hrP1s6nXf8+XjzyayXM70q2KqovwT/AxZusYlrqW0jCxgZAe4gbrBr5tfRt977rXDz0eYsuGSmYfAr7Buf416CSwHTpDkYoci8VSzrVNTU2Jc7yzbEtmZiYX+C5gobmQc6LncHfkbr7k/RIGBhf8cBxEQIvAmcfAaTt+zE8v+BHBP2znrItvYI+WS260Cf81l1Gw1M9736hGuyTG3KYVTFsUIP726WA0Ej90Pd/S7+baWxspKNuM5/7tHK5v5mxjNjdaXprQeNhy8Xdlsi2u8VtXBKXgv+MewsAvzQg5KJ63TWbrFmP7GOgmp9s5He3k40E6raPrtDEnyD4srlFnw5GRUtrr66mvr2fz5s3E4/HE6Elubu6As5lG8jy4v4vLTke7uLh41B57nFTOWCzW699ppFORoXdBSPKF486p+9nZ2ZSWlibmDQ+n5G3fsFrjwf81+GiRhjcDqiYqJs9U6PbHQCaKPLA3o4xD0VwTqaicSFXJP9Giz9JxuIlhWy3EcaNpNmbzGA4NfIRlZKP0KjDGsqH+97RHAgTLhvVjJj7rULWNnpYZamhoYMOGDViWhdfrxbZtamtrB22ZoQFNQHCuFg9FQ4pGoykn1uTqZgUFBUycOLFXa505BtpptixorIV3XjZoqnPes+PfbSEdTQdlg0drJdPXRG1rKS2YNKOzJddL2e4IgXYLM2KjuzSUoTqKRHV+o7CNtjUCuoY9y9fv7e2tdL6S2evtMjTsM3O7fY3OV5J6Wk+3txXfurrKlK7f43BJh1TkvkiuvukcZ5ztcDrw/an8p6PzcPhhNq/RuTfipWaT4r7v+tm8NhO9sJFXzvszlivC1+xGFrpe4svWl1kWWwYHO69QzBp9DTX2bp5oWcn82AK+1nQ9i11LebntFcZnj0t0SsOtGlZcJx6D1hZY9YHGxBmKYNfNYUSk8zFmtHO73UQikQG9RjgcTpnC09ramlKLwlkGY+rUqSnPK35+DTe/FyR0QxG73buJaTE0pfHOiRv4zIqx6AqUamJT3MPr//gz1z5YTOZZMWrGGUxZqUHVUmLbZ/JWywKKq/3kbS1j9cLz2NSQQfiFb/LA+EzOmPBrHr35RL7x9BZeU1/FVgcTVj/mEc0mU5/MMyqftyyDdqXRriBDg0mazTY0slC8qQz+YLtYrXRuNjsuAMQUuLrYHZ2OdkNDA7t37yYcDrN79+60DGS747SzE829x1F3FiRd5HVSp+vr66mpqSESiSSCYeeY0peO5Ui27U/DxWUnsywSifQ6lTpdR2yddPHk861zoSgYDA4442Ew9sPOr/HWCzofLdIprrCZOENRtTczyjZPBlc1zz4WZNsmP6ef9zjvLMzklHN+QiDzLaAZpbnRCOD1mEAAVAOZvt1sr/sM2b5XqV79FLiOIR73Ypr2iLSl4XzP5KJwzprWra2tbNiwgbq6ui6XGXKKf/V1G/sd2DoV/KLRKC6Xa0CBrTOqlnxydSaFB4NBysvLCQaD3VY36+32DsSS1wyqlxq0t3Z9v7LBRZQHtC8RaG3hBm6njgqepZUvx/ZQuDoXQ+8YpaVdYbtBt7p4nUww3mrFWhPGnjQ8o6vp1ukc6hGentbTra2tZe3atYnRCadxdb6yLZ31faX7iK2zvJczAtPc3JxYLzE/P58JEybQ2trK1q1bqays7Pc2OO8/ZrLi+/fEeeYxnbf+ozPnaJtjz8hitzqZ1zzP0mTsxsQkTJil2lIyls3kbw/onHqhjXGkga0URH1UVUzn5557eDXwH8w1xfxPuJTly5ezY7PBhnXjGT+9lqjlpvq9XF79l5vmRpvPfDZ9ivmN1An706Cvc2yT54k751pnmRCnw5GdnZ0yVSMcDqcEzx8tNvjwTYO7HynFCof43bTPsOzk+RziOoSN2kYuuO0GFr34IP62HL5432qu/Ml4bvqpic54zvlXlP/3LY23JwWwjliLtb6KdcU5bC3x8JFdwUU3n0SsPYuDF5kszwvgXXslKycV0PLDbUT1+3BjcXvsu6BV8N/291mg5/NfepyXbINHbRcn6XFq0ThPj7NZ6ZgKTtHjHLm30NM/bZMnLJPrjSjzNCvR0XamGjgdba/Xi8/nY8aMGaMieOrN/q5pWmJZj4qKikS1YSfQdTqWzrQdp/pyT9N2RvI82JfpQKP1XO18931p47qup0XxKOd8mxzIOsFNcuZHOqfGf/ZSiwyf4siTbYqTpzhrATSi3POz/0LTXaxefjArP55Ie/gZLv3SKjomQ/iwjWPQrcUoQmgaZGQeQkWgHD36OtMn7WJLXYCtW7cSiUR45ZVXUpb2GqzldHoyku3XOR4Fg0FisRhz5sxJFPxtaGjYZ5mh/Px8xowZ06vXHpQRW4/H06cdqnMRFmcNruRJ4cFgcFDXKx1op9mXqcjKsSkq19mzWxFt1zrKhGsdQS0KdCxM26KAWubxEZ9hK6XGNrZMb6Hg/Vy09k9qn+lJ2WMaoFyAB1SuGwpcaPX9H/ka7Ya7sXW1nm5yxbfkdfScYNeyrFHR4RlOAw1sB2NKQ3I7Ty5Rn7y8V05ODkVFRUyePBmfz5eyr7W3tw/qyTE7D874vM24yYpZRyoyfPBZ/XjeNl7gZOtkbrZu5hLXJTyh/5UfLVpN3S6Nres1zj7ibD6oPwp3UR7FFXD2+s+xobaBs62LOPiQg1BK8d7rUT4iTGtLA8uXL2dPA2SXVeDN1tmzp2Ne3XCncXVnJE6eo7Uz2xder7fHVGTL+iR4c9KLkwsclZSUEAgEepy31rldvvG0weqPDGZfdDU7Wh7j/vkzIJJBW3gtsbxa3D4PP160hK8uu5E/fs5F6Y6tGKwGxrOnwI2v3Wbuhy1UXnUt0UyT+aUhnjujjra8OBvcFUR8bgrKdvE/f1xC1rE7WBI/k3+0fZ5czybQvTTrz3M93+I1pvGsbXChFqNUUxyk2XykDD5WBqYFa/em6z9ghsnXFLZts6s9TGvcYGntFsI1mxKVdHNychg3blxiyZgNGzYkljIcTfqyzydXGy4r68iDdKbt1NfXJ6btOCMoTqc7eeRQRmyHlpOK3JfpBiM1Yuucb52sh02bNiWKfPUnyzIdZGXDeVd1cZFAWdjGiXz1u/9i+5Z2ps98iX8+fiVHHXsnGpsBrWMNW2s5SvOjqTaUVortOgVlzEbpxbiM4xmfnU88Hicej1NaWkp9fT179uxh7dq1iTn0Tt90KALddBigSW7HHo+HoqKixJJnlmWlFA7rrQEFti6XK1HiuacrRMkpf87JVSmVmBReWlpKMBgc0k7YQBv7jMNsNq2xWfOxQkMnK6DwZSpaQxqhFjg5+gyH8R5/57Ocz98oZSs12lgyM91Ufes4zPPqO7Yj6TWVtvcKk1dD5RlYszNhopfYObmog/s/Oj3ajXRj61zxrfM6es4aXkuWLEmc7IPBYGJx9E+rkU5FjsfjhMNhotEoS5YsoaWlBY/H07vlvQZJV68dzIUjFnzyuZZqS4lpMdbp6/h8/PMcZB9E7prZLH5JZ8osxYLzO46lE/LyoaMAKpeMP4aL1TE4L69pGoce48HMaCYUbuHoY46lvb2d+r3z6ZYv35xIM3ROjCMV6I50ez6QdV7HtvP82ObmZkzTJDs7m9zc3H6NknSeanT+l2Ks/tim9fRK/i+zhYLYnzjlX9/k79HPMrukkK//+SgySrIouVSnRY+jMIhTj4nif+7aSsnOMJf9uYbmYJyMrz2G68wgf2ms5oetP6U0bznv2vNYNjeDn1XdxpT4Rj5+9hDGe6qZfcI9hHZNpmnuvdRYbkzCBAmhyOV6I8p0zWaX0jCVIkezOQ6LpmiUpu1bqWlsZHtLiFcrp1BmGpzk1sidPbvbtU87C6mOlSjTdTcerEDG6/VSUlJCSUkJ0BFQOYHuxo0b+fjjjxOVTnNzcxNT0UbCp2FlAsMw0DStT4HtcFVFdo41TuDhnG81TcPv93PIIYcM+fk22ZAH9Eqhxx4DMtHjjxNvfZcH7niBeMzgwkv/l/nHrwYtG5QH0Im5b0LXDJRWgNKrUMZ80DrOv7brgqSXVYnpTzk5OR33742Z6uvrqaurY+3atYnHJAe6A93/0+Hc3FM7NgwjUQm+L1kIAx6xdYpHJb9p55GSlpaWRMrfUKUg7M9g7PSHHBln+Xs661fYjJumKK5QvPmcwdrlOrk0ohOnDT+7fQX4M+t4LLeQWaf5+UosCK561N7U48QMXdXxf8oGrdGCPIPoLeUd99XFUQaQPbTrsKVjyl46NLZkndfRs22bF154gfHjxxMKhRLzdI899tgRWxQ9HQx3KrJTdc+54BAKhTBNE4/HQ2VlZY+Ls/d2G8JtUL9bo6hCMVgx4TXWNWSRxSx7FnHi/CP+D1Y2avzJBwcfZuPpZgZC5yah61BSGWfjhtR9tLy8PHEx5pNAdzmRSCQR4AxG4ZjeSrf2fCBpamrC7Xbz/e9/nzPOOIPW1lZ8Ph/BYHDQLuZ0bhOlYxSlY+JY9qFcs/JnzC4pI/com7lv3Uye0Ubxy2sx4ntQNxay4YT3KfmDB4O1QDNjt+h86U+rueCRZXz3jgyMCQ1c8GIjnLCUp/gM1u1fYPViH+9+bhdzG7KhspzJu3Zx0fF34jE/4M2gzY9i2zlNd7PKXkZMy2OcnsP34h7manECkXbqMPibFeeSjSs4vrmO1r37vGfcBNzeXCxNo8rM7vXnX2wbPGi5ONeIcZrWxfyhNDEUbcztdqeMoDjH3Pr6erZu3UpjYyOGYRCPxxMXz4ZrVO7TcFzRNK3P0w2GKsBzapM4f6FQCJ/Pl1ghwEnhr66uxjRNfL6hrxEzrOy1GNHfAD6UpqNpLXi87YAX3fSgtPFoWgilTQMyUO7/wtJ7N6Wp836cPB8VPpmf7JzP169fD5AIhp21rPsaU6VDG+rNNiilhqcqstPgotEolmXR1tbGmjVrEju81+tNjJRMmTJln5S/kTDQxl4+Ds65Is6zfzbJLVTkF9ns2WUSydD4s/FfZHkaqZmRi6qJcXztmxw57R/87qav83XaiH6tGGI25uIQ+sdtaNGOFGaFws7T0DI93HtRCYtiXm5pa2X8nTvBpRG9qbSjmvGnSDo0tp44F3EKCwsTKVyxWGxQqrmNZqZpDqiQzf5OyM6JddeORl54wofmauXIUxsTFYuzs7PZsmULSimKi0uo/ljH51dUTux/u1/6jsGGVTpHLIhT1cvX6eozRCPwtwcMKicojjy5nOPt47nUdSm5KpfFscVMm634fw93P9q9fRNk+CGnIPX2D9/08uxjk8j2akyb0/G+TfXw+tMG0+b4mXBQ14HusmXLhi3QTff2PBotWrSIiy66iJqaGvLz82lubu5yfuxg6K5dLv6PyXP/N581B9kcdUqc+SdZKN3Nc7dWsijXwwvRXeRe/zg/X7+Aw9/OxB37gN3Zc/ho+grOfWoc06pNWu74AjurPqLo+CVYcZN4ZoSybXE2ZxRgu1bgOnw7Vyz/Pe2rJqEOX0h+JEzu39v5z+k6Ty96gIz7zuONL+ey+agqNiiFrkyUoSjQNZZPPpjrvXG2o/OSbXKKFufrRKnqxa6YMqWBjilE8X1LPQ6YbdvYtp1SV0LX9UR76W27Ga4L1J0rna5YsYJoNIrP52PHjh2sWrUK0zRTRpZ6OyreV30ZsR3Nx5++Luk1WMVcnbo3zp9T2McppNbdsWaki1cNFSP6BKg2LNcpoBVjemr5439uRrPrMN1lKOMgUO1Y7stRxlTQepfB15vvKnk5K6fwklMvxMmmsG07JdDtzdJe6XBuHorMi34Ftps2beKVV14hFApx3XXX8Z3vfIcJEybg9/sTHcx0G7karMZWPtamoERRPl5RUqHIK1DUhCDmchOmENcG+FfeWbTZObSdXsKlxDDcGrHvOwGQQl/aivnzGlwvhbBtaJiXhXpgPC/qft5TOl/Qffw64GJOJtCH3zt53SiXy5W4gmqaJtW2RrOCObraZ1H7kd6xO0uHxtaTrpYjclKGPs3cbjehUKjfz99ntLSbE6vHzMXvKyCYXcG8eSplJFPTNJa/42flIpPanTpen+Lir8fYuVVjy1qd6XMt/IGetyN5G0oqbdpDkJM/sGPHuhUaL/5Nx5fZUYiiUBViKIODVaIUMts3wbaNGnOPS/1MO7fC3d83cXvhB/fG+fBNrWPUrApCTRq2rQg1f/L4Das0lizUiYRtJhz0SYe5pxHdpUuXEo1GhyTQHYn2rGnaAd0eJ0+ezEMPPUQ0GuVLX/oSd95555B93u5SG4sqFJ4M2Fits36lG9MV5bATLE4/P8CPqzWeOfrr2G6T/15Uwvfe+gzjLovgjb7Oya8s4tBlE4kVHM+ysh2011Thuu4n/OviTZwZWU/7+1fSrl/LiqePYJbxV4yjPqLu+z/k1196iu+fcy3/E27h3w21ZNSMRd+ewczV/yT3mK+yw+XnWM3mXQymYXGaEefHlod/2iY28KZm0Ah8zYhR0IeR16N1i+maRfYgfJdOEJsczMIn+6sT6Cbvv70NdEdqHrvP52PixIlAx+dramqivr6e2tpa1qxZMyQplM57HchtHFKLtPZWf1KRk6dbOX+RSCQRyE6YMIFgMNjri/cjEdgOeUCtxQELZXwGpRejWVtxaUvR1C5QOpr9PnHPbShzbt9fuo/7saZpiUB3zJgxibow9fX1ifnNtm2nnM+7CnTToa89FO24X4Htvffey6JFi9A0jUsuuYR58+ahaRqTJk0a1I0bTIO102cG4ZJvdqSFxKLgPkjRMhP0esj4APQWaJ3lZtlvjuN/syJMNT4ZhYkRo95dT+GcQuxHJhB/o4VVf1nDjf89iWbl5SQV5xXcfOwxOf/6sSwx2wj0cPx3JlY7RY5aWloS819isRgrV64kHA4TDAZ5qnIShs9PWaZJqZla3TfdpOM2JXO270Cf39NXA5ljq5QiGo0Si8VYtWoVDQ0NhMPhlIJyzlIULY2gn6gzbpqdEgDGolD9YSYr3vNTXKwzcbpFSaUi3Aa//7mbul0agVzF1EO6v5rd+QBbMV5RMb73neDuDtCTDlacc7lF+biOfWcsY1kZW5nymN/cYlK/W8OXGWf6XEXtdti6UeOR/zOItMO8zyiqP9J49NcGBcWKm+62mH9KG5mFu5h73Cfr+0ybo4jHLMZO6XivVlppo40CPhnuHc5ANx1Ongea/Px8TjjhBBYvXjyg9P/ecAIu3X4Xw15NzLgQNA8Tp9vc/VQ7bzxr8N6rJhOmd7SrcAi+tridnN0xotmZbNlzBTuOgMtfeJFjFuZz1802geaP8ew+n5PXFdIQtLAtjd+eeB9HPeeiYk+UGZlryX74WPB/iPK3UXj/N/jsL8/Af9sdZL03nXOqdqIf+xa22UYg7uMI9RzvahcwR7d4yTaxNViqDJ6xTXahkYtiChYvY/KB0jlSWRh92CVz+rn79hTI6rqOrusYhpFyLnEe56Tf9SbQHalzZue27RS8SZ4rmNzh3rBhQ6863L1970/DOXgoRmw7F3BtbGwkFosl6t5MnjyZYDDYY1G5nt5/pPbHvKwPccffI2p8BbSeVxWxLKtvAxL2FtACoLVjRn8J9lo01QIEsdxfQ1MrUcb0gX+IfkiuC+MEuqFQKHE+T17DOrndpcO5eSjacb8C25/97GcAzJ8/n0mTJhEIBGhubt7Ps0bWUDS2FabOlvM12kIQyQHvSvC9Cxxh8YVXa5ky3YWRtGTPQmMhy/RlzLXmMtN9KGtPyOVPefksrvKDDg1A+950pxjwnDK5kE8CBedqqBPINjc343a7yc3NpaKigpycnMRIuZMi0tbWRn19PXOb6qip2czShlq2ZWej5xdSnJOdlkFkup+wuhqxTcfvcbi53e5eB7bJS00kXyF2pjj0dGJ95V8mW9bq+LLijJ9moxS88k+Tmk0aG9YE0Y0YsWjHcjtjJtm0haCwxCYroDFmctcn/I2rdfbs1Mgp0YmEB3ag72pfME0485J93zseh901UFIJx5xms+J9jfJxirXL4N4fm4SawJMBh52guOxGi5ZGmDRDMWWW4u2XNLZu9vHCk+Pw2DonnN3x+h4vzD3uk234hvkN6qnnzvidVFCxzzZA14Guc+yor69n27Zt/Q500+HkeaAajHVs98c5d7rj/4emdmNr47CMozruszdx/CnbOebUI0DTaGmE71+Rgcfr5cJ3f8/3P8zA81eTcf8+g9/6wtz2/QDbSy+gYkMZzVlvEWw5nuJdXlozYzx93Hcoqs+E72qcVFxPqKQWpm1Ey27BuyuXeW0xtKM+gGlryPMoCLYQ3lSBZ20FPz3udrZW3UWb+6e84Z/PTGzKNJsXMSlEcQ1RLtfjrLYN3rRNjtMsZmmDvySKE8A6AWnyd+h0ojsHsl1938n/7k2gO1JtbH/v21UKpdPhdpb0iMfjKUXuehtQfRpGbGHfAnH701Vf1/nekwNZy7IS1dHLysoIBAKDkqEzWKnQfX9fmwklf8SMx7GYhmWelHJ/8rKOzkCQ03/Oy8vjbyV/461pb3GoOhQ/fgB2spOfGz/nXOsMjrN3oLBQ+kHAE4CXuOcKMCaijL6P0jqGor+raRpZWVlkdVrD2jmfb926lVgshtvtxuVyUVdXN2w1NzrrbSpyX7KwBmW5n5HakftiKALbXE1ROEZBuyJSphGZA02Xw2nvhTjrRzvIao8Tu76Y+GlBtC1RCotyaC9o51XjVZ6zsng7Po89lRX4NAUoatvi4NEJGHAkNjU2NLc2JxpiY2NjYv5KSUkJ06ZNw+v19vhjJzqrdDSg2tZW3mtq5f32GPbGGo6o3Y7X602kLgcCgRE/WaR7kNi5Y+EY6e9tpJmm2e3oUVdXiOPxeOIKsVOFc9WqVYwfP77H9xk/zcaKQ35xxzEnGoE1y3TiUZg0q5XmBkXD9o7U4zGTbHyZcMkNMUwTzG4yqd5/Q2fnVp2WliC4yjnyKHjpbya6ASecE2eorrP88U6DN57RueLbFif/l83J/wX/eljn2cd00GDiDMXnrrEo7JjJQFY2XPMDi7XLNe79kUFTUxZorbQ0dv8e2SqbFq0FD72fHrJJ28TyrOWc6j81seZlfwNdCWyHjsfjGZYRW6UUMePLuKw/4InfQIQfYxkn4Y1di0YbYdcd2Ewi6PohnzlpBovf+jJ6cR4XmAbm2xso3bidqQ0+HrriajKtfJpzIrTlNhFsfhPIw4hNp6A1iFIQM+KsHreaD7+4mG/6w2iaQqvPwohG+ODZ45mREcJzyBqsN2dQF7fI+/x/8I5bw6Q9GSjX+/xOn8SjHxiM/8Mujvl6OdsOzqQag1uVznl6jLVKZ6Jm85BlUqN0rjeiZGkQV2DQUaStt/2FngJZZ0TWGWHtb+e1p0A3EonQ0NDAnj170DSNeDzerzm6/dXXtt1dh9vp4zhz/wOBQMpxpasU2N4GBOnen+hJf4pHOcVckwu4NjY2AiQKElVWVg5aSnhX2zws7Aje6HkovYSI6z7yzKuB3Wi48Fg/IKQdSnOL3jEPtaGebW3byNfyycnJoaysLJHZWF9fz9ZtW/lx+Y8xS01eWPcCswOzebroada41vBv/d+s1dZwrDkDVDtouYS8v2S1toyZzEcbgrn3g03TPlnDurKyMtHuqqurCYVC+2RoOVkXw1VcMi1GbB3Ocj/DVV58IAa7scUVPBAzWVaukzyrcE5TlGPG6hTWhNH2xHH9aCuuH2xDr4sxL9tkygVn8+SX3+G+wkksRcflzWSiFWeDBXFNI6+hka9orVQ110NjAx9F2sjOziYvLy8xj7m/n0XTNKq9WVS7AhQAM3Ub77IIlmXR0NCQqLTmnFDy8vKGrPBDT9K9I5zuI8ojJbkqcn+uEDc3N/fqODJ9rs30uZ90Ij1eOPuyGMqGiGqhuTGMh6KU0VlvBigFtk2XQeqRp1isWKL4+B2F7o0Ri8DuGg1Ng3gMXG6IhDteZzAFczvm02YGFM0N8Pg9BsoGw9D44g1xDjuh6++jfJxi9tGKzJxmPMFNnHjqId2+x8+tn2NhYSYd7muoYZW2iuPUcSm3O35q/pS12lp8yscJ6gQ0rWMJB7/f322gG4vFUkZenEB3JNpzup+PBovH4xnyEVvn/G4Zx2OoD9GttRj2a4CBpS9AVx9ga5UY9jt4zFe48LK3OPWKL2KacPSpFkefWsnLH32Bab/LYcySCWz+npfYvx9m/DPvoDQ/oYwLefK81zn+9YOo2JqFpuIc9dZkWsZsYIfnLLJb2vHNXoL+xVd5ve63HPTG32D6erQdOeRktmPm1KObUZR3DNGG8RQ9+BUurL4C77Zibnm3nscO9vIr5UZTcJ0Z5RSjY2rBemXQBrSgUavgx5aH+VhcZXYfRDjBqzMX1jGYgWxPnOlHdXV11NfX09LSQmZmJrm5uRx88MEDmqPbHwNt28kd7oqKjmwSZ0pEQ0MDq1atoq2tLbGGvNPpdrvdUjwqiWVZiSU19+zZQzQaZceOHYlAJXmN5qE2FINInq9tRt8Yof3hcZBr44ldj2F/hB6thvcOIXpwI6a/GkuzsXebaNpuWqxLWbvrCjL8k3hk+iM8n/08d0bu5EjrSKCjXZimSV5eHhMnTuQ+dR+vrH+Fjf6NfLX0q9jYeOIezmg+g/PUeUT8C1jqWsrvjRupo45F+iK+F/8eV9tXp2yrQvUp2B2p+ciZmZlkZWXh9XqZNm0abW1tiWJUNTU1+ywXmJ2d3a/U9P1Jmzm2DudK0qdxxPYDW+ePuKmno2IiQMXuKA/93wYm6ArarI6edJuNsavju2mzLd5d4Ub7wyk0XJqJnq8I6zorbZs4ChNFXm0duidCU04uzeVjWJBhkDeI58cqXdGmYK6pyNVgmctFVlYWEydOTMyHqaurSywSbRhGSqA7HNWt0z2w/TSsn9dX8XicHTt20NTUxAsvvIDX60UplQhke3OFeCBttKSy43mbNmmYbpspB+17PHrqEZOGWp0Lro7uU0Aqw69Y/WFHquDcBTuIx6oYN81m3DQbtwfeesHg47cMDFNRMUFx7BlxnnrYRW6R4qTzP0m/7ut+e+4VNmdeYuNywZvP67z2b53KiYpf/SOGq4fithk++MLXLGpq2ti2LUpP5xsNbZ/g9afmT1mlrUKLa5ygTtjnOWfbZ/O69joz1IyuX7MPga7X68WyrMScJjF43G534rsdik4HpKYWRo2vE9eOwhv7Bqb9Om3uZ0H7Jkb8X3ji30XDIOz6JS7jk852Q0MDOfbRVP9XM+s/30xb/m5uv/h1btkR44gPJ+NrsTh4dYTGQpMxWyJo8a1Evbmc8NcL8P7Ri9IV6he/Qjv9Fb7Z/jX0++6EkBv94mfwnfEuhD2gxbE3NuMe///QL9rIjoVT+bjoaxy7IJOFGESASZpNg6ZTRMdnucGIEEKjVFMst3UsBfVdtN/kysVdVS92UoyH4pzgVD912lVjY2MifbKqqqpjGaNOhTo7py4nbzMMbqA7FOfqjIwMysrKEisOhMPhxIju2rVrCYVCZGZmJo4l4XAYr7fn+ZSjWVfL6HVeUrO5uRmXy0VOTk5iCZ5p06aNWD9qsIM1vbodLazQGuKQ24yh3kdjNzz0WfjVxaijXiR+dwtamwttUz566XZKWUeBvZvo9HPxe/YdENJfb0Zzm8SO9vGg/iBT1VQ+u+mzrDpuFX7TzxhrDGe3nM1JW06irq6Ol8Mv88ChD7CoYBFT7Ck0uBv4oflDSuOlHGUfRTbZPKg/yE3mTfwk/hOusq/q9ecbyd/JuQjmnM+7qrmxYsUKwuFwSiaFU5h2MLYhrUZsPR4P0Wh0n3Vs09FgBrZPxw0esU0a6Qhq/SiiaBS5FGPcoBW5sKf70LZF0bZ+cqXttaNyuOfKUlZN8hGxoWp9G2vG+bBNE5QiBqydOI5NpsUxhk0YDaU5iw0MjkodKvWuXy95Psy4ceMS6Sx1dXXs3LmTVatW4Xa7ycvLSwS6fV0ntDfSPbDtavsO9Cqs+3PjjTdy//33U1FRga7rzJo1q89rVf9/9s47Po76Tv/vmdm+KrurVbckW3LvFfeGC9hyowVSIAQCpJBGQgqXXO6XcDlyaRASkpCQ5FJJSMANG2NcsMGAMWBccLdsy5YsaVddW2fm+/tDnvFKlmxVW4CfO71wpC0zuzPf76c8z/PpiXv0Yt9BuFEiHmvuwBrQdTi8R2bNn6xEo4K8QSqSpPPWdgs7tyhYbSp1wWYDqngcagISui4RapJoagBdv/D9OnMOr22U+NsvFe59SGPibJ2b74ERE8VFk9rOnDM0m2qVn5LIKzrvtrxAX4AiKQwTw9p8zkR9Ik9ZnuJHyo/4kfajDh1De4luWVkZ0WiUTZs2XWBecTXR7R6MpCYWi/VKYhuLwqvr3VhTziUOkgVdnoiq3IjACjRXiOzafyMTIKblc6wsi5rat6mrqzOD7czMTIYOHYrT6SSo1fJu/yDP3qIx7e39KLzH0AMWavpnIeRhSAyg3l9FckBh/4gTZFT6SH8yhFIskP318JuHYfQRRMyGlNyEkHTeOO3h/w3U+K+MCUyQolj2vUmFtoLw6f/HHUPn8BERJ1uCoQm6Wp8EvnN760hZ53+lKC9oCo/FLVyvC+LxOJFIpEUiaOhjjZ/egHHfBINBampqEELg9XrJyMjo0OjES2l0ExPdxJ/E53QUl2OvdjgcZGdnm3KVWCxGTU0NJSUlNDU1sXXrVtM00wi4uzu7uS/BZrNRW1tLVVVVixmydrvdlPEkzqs+duwYqqpesfPvqVhbEqVY1d+iKdcT/XMhlsDzhLPjNJ49S4Yrik0Oo+8ZgTVqw9XvXSRrA6/o15OeA0M9R5DqklAenQJT4eHowzwQewC/8De/diCO/XMlgMSWf5fx49wfYHHZ+Tm/5O73PsYNPx5M3qwxcE82nPODCoVCOBuc+Cv9zDk8h7pRdZxOOc1npM+QJ+VRLBVzRD5CiBDfsnyLCfEJjBPnmVQRInzZ8mUyRAa5Ipcb9BvIIOOKsovau39be24ALRJdw5i2NZOiKyMv+8y4HwNGx/b9QkXuiWOMC/inbmEbChrN03iKUZkl68yMhlBmJCFOR5H3NiFVC2j+fyRgzL56Ck54Kcu0UJXmoNZjxR3VaHLIzcIeIXCFo1hrAiwr9CEkcF2Gtam9BbC1w2EiDer06dPs378fh8PRItHtiTFPfT2xvdqxvRAPP/wwgwcP5t///jfz58/v0mv0VGLb3mvccHczxTgptfl/h5vgDz+ysed1BV2HtExBY23zkjhwhEYk3DxO58VnLEyYpXHPQzHOnpZI9oA/U3Djp1Xsju4d77uvy1SUSux/S2LUNYIb7+5YgfD4AYnyUxIFIy792H//Tua1l2Ru/azGtAXNxztUDOX38u9ZJ68zK8sr5ZWUSqV8RvsMIUJEiVIulXfpvBITXZvNxtGjRxk7duwF5hWtNbpX76vOwVhvo9EoLperx1//zS0KK59KJa1fPsUrzv1SkolZv9ZsxnLO+8Ehisn3P0VMjROJhMjKyjET2dZrud/i5TvyAxwa/Dy6J5uDQ07gK43gP5qLpDuAMHL0d6y8aSZ/+vgmnr5lOjWqhbTHPoo0cy/HrWHcrhjqC7PJHPseR89k8R9FIY5nn+Kt1zcwflA1RcXHORVx8AJPc7s0kz9YVnFUrmCIejcKLYspRjc2VdN5CTcaMNudTMOZ07zxxhvmNer3+7slBWoPsVjMvC+qq6uJRCLme/bv37/bWsiLJbqJNMDWiW5HzvNK7NU2m43MzEzq6+txu90MGzbMpFCWlpayb98+7HZ7i3meqampl/UYewIlJSX85Cc/4fDhw9x///387W9/o6ioiLy8PDweT7td6ivNoOypWFvR30FSXyPUGKU+mkpW7u8pC49gm2Mun7I0IGQJ7ZerkXkRC++ghb08cvxxqnPgb0nfwfneRCz/NQQHICObSS2A8FrQ5qUiW2Um7few4Ng1TAyPhzSwvhGiaHMaekU12ugk5H8G0B7IwV0jmPunfGbd9zOQYiz5dCFb7jvKF6c/RCwS5RepvyAjmsFIZSQn7SdZJ61jtBhtrjcHpAOsldfSQAPJJHNcO84PtR9y2naabw78Jrcqt/It7Vvd/tw6g87cv20xKYw16+DBgy0kA2lpaR1OdHtjDfnQmEdBz9AjrBLcp8Qp1yTiSMwnzmctKmkyWHbUI/8tgPxeCK1JYDHfTwAyuWdVfvS9Yxwd7OKhbxexZ5gbWQI7ED2X2NpiMYbufQ9H0Qz6Wm6nKAppaWmkpaUBzXSYmpoagsEgJ06cYM+ePbjdbjPR9fl8bQ7w7giuJrbvLyQnJ3fbyKanNsT2XsNihWP7ZfoV6qR4QVOh4jTUVcOgURouN3gzVA697WNIEVx3i0r5KYkzJRKFw3SqyiT++Ssbw8ZrLLtDvWC2ra43/3QGH/+ixqhrBBNmde6JP/8PhcYGidu/aqUpYufltTLTrmumNCdCCKiugsY68J2f9kMllUSJckw6Zv7uceVxVFSu1a9lhBjBb9TfkEwyAHukPfxb/jd3aHdQxMXNvVrDoBq17ui25dLYU4nuh4VBYayvvWUgNXS8zpjpcVQa+PKNWcy/pYZh15SZ9EebzYbX68XhuRNhC+BwJjPMN4FLbV6fl+8h/BcryWd+j5Q2liXrXue5j1nIOaWhir9zeHQDizfP4eZ/zMeqxlDDg5CeKIQnPsbZr/2G3BkHcM3dyaGv/ISbnvwPqr11XHPUy62Zp1HcMRQ5gxk7kihPr+E3mswvnY+TKelcq82lSCtqcwSPIkl8kwhNssK4rHSk7AwaGxtNPeuxY8dMTZ5xjRrJRR11vC6/zlx9LjYuvucZBWKjK5uokx06dGivm7ZcqqOb+Djj/mvvfrqSRWhjXbFYLKSnp5Oe3rzAJX6+5eXlHD9+nLlz516RY+wOjFFQ+fn5fOITn6C4uLhDz+sNjWtn0J33N8zQ6k+UUht1kpQ6H00aR2pqCgdtb3Kv4385IA2lQlj4Jj9gFx4KiNMfQUXjYD71uzo2zvYz7pO3YZnen9tEKo/Qhj5ZkYj9vD8WiwW3JvjV1t8iZiWxcdcW5HqtuWPVz4bykzLkV+shz450IoK8shpSFKjX8L4GK7RxrLj/XwSna3z9108xoWYCI0+M5KPjPsoTlifIOJnBYssi0gNuxg4bzUPSQ1RTzRvyGyzTl/E15Ws8O/hZonKU1fLqSya2d1ru5B3pHV6Mv0gmmV36jBPRHRqww+EgJyeHnJwc4HyiW1NTw6FDh2hqaiI5ObkFdbmtfKA3tPJXO7ZdwHRF5xk5QiMS2bpKXW0dx2pqCKXUMPS0RkpQRtFkOCcgl5BMMvG+oUmU5dj5/l9O86tlmTx/TTI2h0TMbUUoMposkV1Xj9QUgqSer8C3Rnc+k9YbikERCgaDHD16lMbGRpKTk1sEAh2hy70fOratj6+vX/+XA92ZYwu937F99zWFf/7aypDROrd+LsahdxViUYnMPEFSKlRXyKTVK7y+OR+LauEjn4lTdlLmxrvjuFPg1NFmMympjTVYjcPvHrFRW5PJ4k+e7PDxJqfC9OsuTGqryiAShrxzOWTpMXjkyxZmXK/z0c/rXPcRnSP7JLL7x3n0m/k0VSvY7IKpC4wgFbaslgk3Cdb+pTlIzis6/7nMEDN4VHuUPHF+/M9ibTHrlfVYac6Oa6Va9kn7WKgvZL28no3yRvqJfhTpnU9sW6M9l0Yj0T116tQFc/eudnQvRGLHtqehqioodSz8+Fle/JeVstIGXtnYSH2Dk+kLXRe48ms8TkcnPu+X9/Pa4Ce51yVxYNQ7TItNxfvTyWh/WIuuLmBg2hdJ3ayBgIaMKHHRH09gM7pURHmDzoCyNJJXjyd5z5/xSRpLnXUo/bw45RgxQHX5GXFfGf8Qr3IzlUwP/weT5dPkn3Jh+eefiM+cAOOGthjBAzC61fVlOPj2798fXdfNhKm0tJT9+/fjdrvx+Xw8PvBxXk56mfvV+/mM+pkWryGEML0rqqurORI5wj+G/oNFzkUsLVjapk72cuJiia6maS2C39aJ7pXcq9sLiFsX4DVN69PxRHsoKCjgscce47rrrutUg+BKx+Od+axjsRi1tbWmhtr55n7Sy6sZ/No+pLxs4r9/2IwZ16s/4pQ+iJBw8r88wG59JFKTxG+//j/87Tuf4L+yvon6XRe6UyKmykStQXZbdnGHbRVfi/6Y0fgvfH8BNkVCzPOYv4tPdiOGNqEv8yH62RH/sqPd6keqUxHJFrTbM8AuQYEdfZgTywMn8A3N4jfKbyADyIAHpAfYqm1lrDaW6P+VYvm1TmAqPPnMk9Tb6lkfXs8Q6xDul+9n3nNjKEwfwcem3nPJz2uHtIO4FKdMKiNT9Exi21P3RutENxqNmoluojY+MdG12+190zzq/dKx7anE1jBYqj1HfTlaX4/FYmmmKo3LRblPQ/5WBRLnlLE2INac4sYsEHYq/H1FBmq6wptDk6h2KxSWVKBmJVGfmkzcYedUSgoHrA7aVr+1f1yJYwcS3RmN828PPXVRGRShzMzmG864sIPBIAcPHiQcDpOSkmImuu1Vpvt6YnvVFbltdHYsQWsY92h3vv+LPa/fAJ2cfJ1h4zU2r7Kw+TkL2fmC7AKNgSN0dm2D8TOinD1bw/gZSexYpfH8X2XGzbeS4oUp81W+8HAUx7l6k6aB0Jv/W1kmEWqUiIQUNLV760w8Dl+7zYoah0efjZOe3fz64SaJo/tlQGfRbTqLgNOnBeNnV1Nzxs/g0efft6oM/vErGTUukeJtdnU2LtnjByVAYujQoebjdXR2yDuopJJ90j4Gi8F8TfkaTVITcRHnE9on6Cf6sUhf1Onz6cj3eTXR7RqMjlVPdGwTDWmMOY92ux23282YmUFmXTuAl9fk8tLfLWT4YxTc2PUiVppI46/fsFI7bwADhy3mbsskLP9zCsuzv8cidKSsr/L3ew+zeOti9i8OM2mbD7l+KVFrhBt+k0Psrx4s8lHCyDxxIpfhSWWE/94f562lRBSBO6eKcb4wS7RhnNz3AD949x7scz+KY/d2bFt2YlE14pNHt7x+whGUZ15EDMpHnzr2gmOWZdm89gYOHGiOCqmurianJAdrnhXHSQfHLMdwu93E43GTIpuok303+10OJR3Crbu5N3bvBe9zpdFWomvETkaia6zViS74V8L5vCPv2ZdjiY6gI67IibjS8fjFYm1VVVskso2NjbjdbrxeL0WFheR960nkWBxht6J7UhAJjZBFloF8MyaxbvvrvD1yKC855+O06LyUfYCnqhZyNGcgZOv0P1XGlzf8nT999nX2yWfRQ//Jm7F0LDgZJjWy1PF3FqnXsTKWxf8JCx917OY2xU8WWQBo41zENzYLayup5PlrtnC9fj3Z2dlo3883j0f7fLPmO7577AXn+SXxJb4kfwmKQJpWi+W3R0gamoRVtxJX47yx4w2C1iALXTP5xpeuIznmxnosDy7hgbYxvpGz0tkW2t3uoDfvW7vdfoE23lgvjcZXUlIS8Xic+vp6otFojxX4uj3uxzBX6Osdq64mtsbYksRZsrIs4/F4WhhimJvBmAZEciU0CYQNpMbz1k9W4N0xbrZNSUVPUgjbJGRVxxUJkxSS0e020mpqiDQ0sT+mMczeftDWeuzAEWQOoTALDY8so2laC9v/zmpnegKtL2xDfB4MBtm3bx/RaNQcZZQYqPb1xPbDMhi+s7BYLN3u2HYXF7vPM3IFX/xBc4BwZJ/MqcM619+mUjis+V6aMl+jvl5lLiUMHZtL8iuvM7jORdOuLLZVFBINwy33NQdyug6PfcvG2VKZkoMyKV7B/d+LYk+tQLRjztZRKArkDhDUBcHdzARm/AzBNx9VyS648LXHzKhm0qSWvbL0HFh0q44zCa6Z03x+Tjc01sNjDzUXk/77jypJ59yhSynljHQGgWC+3qyRvkW/hb8pf+Nnys94QH+Aj+sfp4kmPm/5PPkin29o3+jQ+XTlfu5sopuWlkZqaqq5fvT1/agn0dnA14CRyBr7mpHIGnMePR4PTqeT+vp66uvfZcJMK/GoRiQkMXRsR3uzbSNLZLEl8rJpzIIAbVw1SFPQrTb+9MXX2DSpmvlPxRnxGzfaQguWUguOahsSEeyNfuK+XGquWYDP+Qg0uEitTINGB8IRZ5ewMTWqMG7vWb6WU86kfzpoXDeeAcMHot9xC/qMkRcURaTDJ1E2vIJ4J63NxLY1rFarWch9MPYgd1Tcwdn6s5xsOImmNX8+LpeL7OxscnJyzHErt3IruqozS5vVrc/wciGxOxsKhQgEAqaxldVqxel0tpif21OOy5eCrusd1vC9n9HZ+/tKx+OJe7BBCzfWmPr6epxOJ16vl4KCggvoqepnPoJcVkns0zeBywFCYP3tv0BA3T03syUGdzz7PJ/+0zN895v3k1FdSygU5pPrNrFo1Ua+8Z8PcKJ/P36V9zNG1r/EWcfXeOiBHZzKtPPfX/4cZcLGaZ4jLkcJxO+hUWrkCWklKy1buVFfxmBpcItzeUZ5hj/Jf6JGquEB7YE2z/d5+Xmekp/iO9p3KJFK2Cnt5BvaN/DS7E0jFniIl0zAaZXZwQ6iRLFMtlBdXY1dTWXLtbvJoQB5907S/P4We1lrFFBAgSjoqa/qssbaNpuNrKwssrKaCwgGw3P//v1UVVVRWlpqMmAMfXxX3c673bGtr6+/4hWijqCjia2xeBuJrOFK6PF48Hq9F58HFtKRy+MIt4LUpCI10mKale6CJoeCbpFIrY1Rl+NAk2UODM0nM9SAQ5bIC1QzPFjNNEkFWi7aFxs7cFjYOCApDFN0Mi3nz8X4b2uTCOOmuZwLYKL43LATDwaDBINBM1A1BOdGYt4XOzJXO7Zto62xBJ1BYoegO4ttR67pQSN1Bo28MFiQJIlISOY7dzlw1I/h+wP+l7P9RpF6TT+mLTy/xtXXQnVVszOyrEAkLLH2r1biaiaa7uNTD8gMGtm1e0uW4Qf/17JAIEm06Mi2hXATWO1gsUDpMYn1/5CZuVjgTdDWOt0wbJww/23gefl5skU2H9E/Qso5p9tF+iLOSGd4RX4Fn/ABcJazHJQOcpSjfJ2vm/P6BII90h4KRaGpyzXQE5tnRxNdw+zO5/ORkZHRrfd8P0CSJGw2W4eoyEa3xPhpnch6vd42A4nEQHnKfI0p87uX1LYHbaYH7ZrbwSUz8/NxbrrDgV+tJaqA9Y0m9DwHct1GUE8jSTdgVZ1kbY1QUXoDsaKJKBvGIwcE3LWWwb+4BenjL1C0L5WpW+ehjh7A0kOrsfwiD22ChHwoTvzbAiznr0sxogjt40vQC3IufaznAvaj9Uf5ZuY3GXZ2GLdX3I7P52PAgAGkpqYSiURM+vHOnTuxWq1mx/f2tNuvKP24o1BV1SxGG/NRDXOYwYMH43Y3LyKtNctGjNGbiW5fL4D3FDrLhLqSGltd1wmFQjQ1NfHWW2+10OHn5uYycuTIiyYr6q3Xt/jfUrAW2xP/AAm2fmQpL7n97Hz4W9z9ymvkxWLc+6d/cs0rb5JVGUDWBa+NH82qJfOoUzyU6xP53qrvc+sff4QsDnE6I4clm7cx+Z0ATzy+kWVzZ2DX0nickxzRAvwr8i/usdzToim0QFtAgACL9cUA7Jf28zf5b3xM/xgjxAjekd7hN/JvOCOd4ZB0iOfk5zgrnWW/vp8ZYsb5E7E2x4vWc/+HA3Jycvge32fXl3bhtrpJSkoiGAxy8uRJdF1vMWYzOTm5V671K3kPGQzP48ePM2DAANLS0kyGi+HZ43K5zKaX3+/vcKLb7XE/HwSNbTgcbpHIqqpKamoqXq+3Q/M3DVj+XY3t/51BqjwflBqOyAIIO2Wqsmy4Izr+qjinshzosoSka+RVBdmbnMyJQYV4BvjxuJ3mRtHa5MLQBCWOHZgvYKgQDE24RtujFBl0amMuntvtviDx7W0k2oknmskEg0HOnDlDU1MTmzZtMm9sn8/Xazd3Z9FWwv1hMau5GHoyse0o5EMlCKcDkZ9tvkZ31yJdbx4LRIqfyNc/zctr/WhCJrvgfED/+H84CDfBFx+O4kwCiw1++7Cdk4ccKFYLR/bIDBrZOwlAIo7stfHKhlw8TvjhV6xk5wm+/3uVYAWocYmTh1s+XlHgM99peVxx4jyrPItAMFWfCsA2aRuftHwSHz4eVx9nqmj+fRFFPKI+ghevmdSe4hQPWR7isHSY2frsC8YD9cbmealENx6PfygSW2i/o5OYyBq0P4fDgcfjoV+/fhd1Vk3EZQuUXTIN64byt8dtZPxTZ5z3GJICNk0ghSF8hxfX12uAAYANKbofOIpcO40zh/IpdOjIliA2uxV74VlIayTtzlo+cngxE8d9AvlMFLHgUbQ3U5HO1qAU2NA+4kfe/hryrn2on/so2uK2u6iGTtZI8mpra7FarRwdcJQzqWdo9DTyROETLZ5jPTcjvn///s0O0udG5yXqcxNlOb01h7gzMBhqRle2trYWp9NJWloaw4YNa1c+lHh/G3GG0bVujzHW3TWhrxa+exp9mYpsxJJG7FxXV2fGp9nZ2Rfo8DsLkeYh+uCnAMEMj4Nr4hrhJDt3Fk/hM5Lgxv/8Cgv++Ty3rNnAqHcP8N8/e4I9S+dyCoUS+qO8/DNkJY4Uk/n1l7+NIkB1SShvTebXw08y6azGGM/3GMhWRtgayB16HY9aU/h4XKVAhkKpkP9Q/6M5x5EEL8svs13eTq7IZYQYwe+V37NX2osNGzIyk/XJ/J/yf6h0nLlmFVZsNht5eXlmLJyoyT969CiyLLeYPnKpkV8d/nz7QHHIuI+tVisZGRnmvp0o5Th16hRWq5WUlJQOvWaPzLF9v3RsDRgtcOMncR5TTk4OKSkpHXYllMpjiGQFHBLyG41IVaqZyBrvaPzbVa0zIK7htEDYLjH8WBMlOQqOpiZK0nw47Qouu8zLpFIYj5BGy+qn4ZLX1mLukcAjtR98GPx242aJxWJ4PB5yc3ObtQMJmxD07BD3jiAxULVYLJSWljJ8+HCzo3vkyBFT42Tc4L0xeqEjuEpFbhs2mw1VVbu8WHY2sZXOBrD8YSVyeRXakP6o99zcMggXAulkOcLv6bARmyRJOFxxvvubCIoFVDmfjVubZzVff6tKWqZACMjK11FVmcw88KQ1v99n/jPKqZNnOHlMZe6KfISQeOw/FJrq4as/0rDZL2kW22k89zsPh9+1UFgkI/TzM3rHThP8xy9UMvtd+rO0YuUR9RFqqaWAZprTK/IrCEkgCYkqqvhv5b+5T7sPP34miUktnr9F3sK70rvEiDFCXDh/6HJsnonrR15eXp/fj3oSVquVaDRKPB6/gFps0P4uNSLkYric+3vJQZmVv7eiaTDvnVyU21KJPnSI1AoZsbWWpuEf53Q4RNHpOJbGAqxyI9ln/oRwB1GQ4Y9NyGdmIjYsR5ObUEoHM/6BfyEYgTimE1b9/HtwfxakNpL5+FlilTrKqW0oZ8rRj5xEnzzaPBaDUWQUSwydbHp6ujlPdoY0A4/uYZh+cUcMRVHMDgzQQp976NAhIpEIqamp5v6WkpJy2ZK2eDxu7rOBQABN0/D5fGRmZjJ8+PBOj5FqXeRtPT/XeAx0L87oaGL7fi86d7Zj25uNprakeZIkmffF4MGDqa2tpbKy0jQR6i7Ujze7QacABbLOESFzQJKZQxxrho9f3n8n/7xpEddt3M7QQR5+9M7L3DZ2LkKCmTvfgkhzLC8DuDW0IYJv/c8/qP2Vl3qfl0983UXDpDCfS/0ZdTtOYj2xg6xf/Qnlx19FmzkekfB53qzdTIYlg9n6bIQkuFu7m5gc47h0nP6iP2fkM/jwUS1Vn9cgdgCJ16ckSaSkpJCSksKAAQPQdd0sipWXl3PgwAHsdrtpkNYdym5fSGzbO4bERLezMXe3Nbbvh45tPB4nFotRWVlJWVkZTU1NJCUl4fV6GTRoEB6Pp0vVUulUFNsvKtB9FuQ6DWVjHcggzjVEzE9EbnYpJQ7jVwVwTvFyKtfK/J2nOZ7dj0q/F0WSGIrgJqJMQidNkrAoiplgd3aTS3RwDAaD1NfXk5SURFpaGsOHD8fj8bRI3ltb/rdFXb5cia5B9W19c9fX1xMMBqmoqODgwYMmtcu4uS/XUPbWVOQPm6avPfRUx7ZDQbQQWJ96FvnwCURmGlJDCKm6DinVaT5EPnISy++fQwzIJX7fRzp1LMme8//+zH/GiEeb59wCPP2ElT2vKXzu/0VJ/Noz+wkiWhxnagMOZ3OSeeqohKbCr76ncOhdie/8UiWnf6cO5aJYcnsd2/2CxR/NYNntOvZzpy9JUDisY9ekjs5EMRGAMsr4uuXrTNYn8wv1F8zV5/IZy2fYLe1mpBjJcn25+TyBoIwylupL0dGZo89hAAMueP0rsXm+34PZjqCmpoZt27YhyzL3338/n/70p5k4cSIej4e8vDzTdbK7uBwdW4OV1K8ozvI7IT1HR0g62iQ3wT/lUHKgilGfayAWtvDtjAl8ZsJZ5r1RhiRNQ4pcA9FaEM+CFkV+/iTI++BHd4FuRX57F1JSANH0n9h8Fhbkhkmd5yL6TCP/t8ODtf/dfPILJUTHDKa6osJMZo1kMy0tjfz8/DaTTQmJG7UbO32+ifpcaJlEl5aWXkBF7KkODTTfj/X19WZXtq6ujqSkJPx+P6NGjepxU7bEezExzgC6VVDvC0H55YDVar1iHduuSPPq6+t7Zb3QdZ2vEeYAMlPUGCpwGxF+gZPUTD+p113PR9M1zoYaSNY0wpLEfz34VX5xx39hUzWqfB5++aub+PZdf8Aa0/FXVWOPxUlaWY3rP2W+cd1Xyd8TIe1ENY6aJvTPfR+5ug598mgia34JgFd4WR5f3sxIOH2aCd/6M09etxD9U81rwDgxjqX6UgpFYYfP61KflSzLpsRm4MCBaJp2wZhNw23YiIU7oj033vtK30N9dtyPcSP1hQ8JWgrWDXdHRVFwu90MGDCgw4ODLwXhVhAuBewS0tEQUrUKEgQUKx5NxYJobtXKgAJChcJTUX714BFu+uMIKgdaCLmsoChYolGydZVbHII0iwyyBWsnPkpjATIqrzU1NabtfX5+/iVHCrRFWzb+25Z2xvj35eL9G4ZdHo+HoqIiM3E3qMv79+83q1jGDd7VKtal8GGhQHUWl5uKLB8/jRSOEPnqnUgWC6IgGyoqzl+73hSEJxm9f26njqH1+4+d2pK6G2qQEAKe/Z2VY+81J7gnDzd3TCcubH5MXRBe/JeVj39Bw+4Q/O4RC2ocGupMv/QewbAJEXz9KvD6u0a7fVJ+kr8qf+Un6k+YKCZyXDrOaek0yHBb/GMsV+6nVJzCKSmki/QWz/23/G8eVx7nE9on+KT+SX6u/Jx+oh+36be1eFxf2Rc+aJg0aRIWi4VIJMJNN93EzTffbBpz9CQS/Rh66nvUdZ190j72KHtYFF1EsmjWZVssEh//UuwcO6l5vyoY0B8G9Icna6gua+Ka0jqCwyo46otQsNGBxaogaV7gLqAGpM0gnM2zPHSBvGc4Ivs0kuXHKIFsMsXHEZVnEaf/QGHGjbwx+DZed+iIP/0TMXQA3swMhgwZ0kwPjqng7AWqRSs4nU769etHv379WtCeq6qqOHLkyAVF3M4WLKLRqNmRNbrPaWlp5ObmMnr06F7bK1vjYnFGYkG9I4luR/bhD0LR2W63EwqFOvz47hSiDO8ToxvbFWleT64Rxn+Nf+cC/SQJ6RyD8QYJVKEx598VDPtzOWcXwdtT4uiDMpAkhddnXcd3H4ky5K19/Oe3vohPxPls0mpStHoiNiu+2npYo6CkaUxe+BLyPRHUl9Phh8lQVgmSgAO7UV5/F314EfzoD8hjh6HfNB/5eCmcrUJ65W3U25c1X7dIFMqFzd8BHV8vO/OZKYqC3+/H728eX5ToNnz48GGamppasD8uNhe7L9wbfXLcTzQa7ZWNrzMwWvVGIltfX2+aYhiV62PHjuFyuXpWd5VmIfZfuchvNCJvr0c4JfbWJ/EkBYynjrsoBQGS2pzUak4oy7Vzor8TW6rMO7n5aJrUTJnUNEoamvh78CRNvnQ8LhefS7KQdBEaUHv04rS0NAYOHNi+yVUHcLENKNHyvzcMIjpyHSWOXoDzejLDiGrv3r24XK4WM3R7yqzjaqDeNnpiji10cLGVJITTDn4vsqqiD8w3X0MIgVQWQ6qwE//G3T0elH7yazGW3ynx/N+sHHsPohFY8+fmQtnQyRZQYPsLFlb+wULFacGpoxI1VRKf/qbKkDE9u5F0d2MqlUrR0amSqkBAtshmubacW/RbWMcR3pEOIISdT+izGCqGtniuCxcCQUAKcFA6yLPys8jI3KrfaupvDbR3v7wmvcYOeQf3aPeYplVX0THs3r2bpKQkRo8ezaRJk3olqYWWTIqOSnRao/U4OoB1jnXss+yjv9afaWKauZe0GzQv9JKFl/sBSEOcKUV6rYKwXcfSGMcSkZCb/KDfADbQJiso2/cD1UiVTSAVgLYPrXIdnN6DrFYzrug1fLdPR/ljGWkbd+H9rBf7rJnIu/bBjr1Y/roWbeF0tE/f1KXz7goSqYiGPtdgX508eZJ9+/ZdMA+yNeMssfAbDAZpaGi4ZPf5SqA7ie6HZR/ubMe2swzKSCTSoiMbi8VaSPPac+i9GLq6L13MINXQ7hrfeV1dHXXV1UwIBomcbaLG7iCan8KU/H7caQev0Jn9cgNZ4+ax4s5b8SD4ZryOP738f/zY5WfDkjvw7TnY/MZOHXlqI3q1hYbrVTz7G5H/nAJPnUYaGMf6wL3oJanEIlGafF7SvvQD9IIc1E8uQ10xv/kYt7yBvONdYl/6BJLb2a62vKfR2m3YMK0zpo8k5gWtZQ59wQi1N46hR+bYXm6HXaOimcjzt1gseL3eiwrWe+v45BNRSLIg/BZsqo7UBO5z4nGzP6MA6QpP/s8AXp6Qio5EGAkUsIajZNbWY/ck8UbaaAaF6lHranhtz2GcDod5QXo8HhobGztML+5JtLUBtWUQAd3X53Zlw7JYLC2qWIbwPBgMcvz4cd59913zszICgq527a92bNtGd+dpdrZjG/vS7chnq9CHnKe/Gomt7WdnkWo1Yg9mow8+140Q9UAykjgBaAh5YPPvdQGy1OL5bSKoIgfiWAY78GfBHV+JcfM9MdzJoGtRdDVOijdGXZ1g8rUaFaUqc5ZKbFsns/9NGDb+yldHW+M/tP/gdv12BolBADxoeZAyqYzJYjLTRAEpWBknpvNz/QcXPHexvphTnOIZ5Rl8wsf92v1EiXKa0+SRZz7uYvfzo8qjHJWOMkQMYYm+pHdO8gOKpKQk4LzXRW+hs/elASNITaRFJgapt4hbGKGP4BrLNc1OoZ09rjuzEQ4b8vRk5MfKEBtrICwQuhVUUN8DlBwUbRe61oRkHQuKC7lpNxL1CMVCus2Gx+piTSgDlxKjQeQyeOderN/9BcRUhDcFKXr+s5XePYSydSfaR65HZKe3d2g9CoN5lZaWxqBBg0yPkGAw2EKfm5KSgiRJhEIhqqurzef1798fn8/XYqxKX0VHE91IJEIkEmnxmA9qktvTrsitPWbC4bCZyA4bNozU1NRuxZGd6RhfyiDVSGQlSTLNAQ1GomGolJubi+8+H84vO88N2IH/RkfaE8L28ClOOxViq/0kWyQW18tYctM5odr4yo++ze8+9y3KCn3s+nkun7L9jjfqZvK9gm+zLu9zeNLqIU1FStIQJXEsgWosMjhECO6tRH79LLYHjyAF61A/eyuO5V9ojiXUOBTkEr9pATpg+9vzaHMmQV42UpKr3Wu8p+BwOFpMH0lkcp44ccL0CkhLSyMej1/xrm1HO7aXTWNruCL3REX3YjAcLxMTWaBFd/JSRkK9qROKLUpBUXQUl2DQOyF+cmA/VgRCoTmrFaBnKqi/KcLqqGP4iQZeye9H9FwwLUsynzhyhLIxw3gryc293lSK05NR+2dz9uxZzp49S1lZmXkBuN1uMjIyGDNmzGWjELVGe7qZztKJ2kJPVGJbO6y1RddISUnpkivlVVfktmGYR3UHnblPxaB8tEH5LX5nfAfa9CTkg03I/heR1Sp06Ros+ko0aSwK+0HoxKQvIJ2wYftROdqsZNTb0i76fraflCNXqcS+moU+1IkknZ8zO/P6aizaSqoCKnVcQ1bGVu59MIziKGbYuIusiUIFqXtuqN257hw4GCzOz+47K53ltHSaOHGq5dPkyzKydJjWJo+vSa/hxs0QMQSXcDFQDKSAAj5t+TRPy0+zQd1gPlYIgSZrrJJXMUKMYKAYaP7tS9qX2CHvYJb+/pjp2RfR1Tm2HUVHA7COdluMtXMwg1tce51GqgX1vmaNavzhAiwDnUh/rEQ+E0e3grVe0JTuhco7sIkoFoeCoo4C7b1m0wtfPuRkIjJ8LPzvXxMPVeKyBrHd/SxSyRnUm+ajPnAneM6Pr1K27kTevBMxMB+teHbXj70bMMZk+P1+ampqOHv2rOlgbOxDqampZGRk9Lg+93KjtXazqqqKqqoqQqEQqampJCUloapqjxXV+yI6W7hqrbGNx+MtpHk95TFzsfdvb624WCLb2iA1EomY1PlgMGiOc/P5fJdkJG5tgF/lp/DQ5FSS9zbR70iILFmQfO9hYt/K4aPL03li0mg+/fov2IeffMnOAN2KMuwAD8V/hvv+vYg7VSQbqFhhSgT5TSt4dOSTNvibFx4vh684sBz+I+KvseakFrD96h8QjmH5+V9QP3UD1sf+gvXxv6IX5BD9yYOIIQNaXK+9mVga+YLb7TanB9TX11NdXU0gEDBNBmtqasziWWfN4rqLPtexNW64nu7YJvL8jR9N00zBev/+/Ts9+qUnE9sLNnAHaNelYE2zouw/jQ2BcAPJCkdr7VQKO5MK4/BiHSVzUzjhttAU1cEmgSKh2qwExg1noi+ZWl1Fq63mvcozJr3Y6/VSVFREUlIS4XDYtL8uLS01efS9qSm9FC5VZe2sPrc3KEZt0TWMRPe9995rYRRizM1qr0hz1RW5bXRXYwvdv0+N5+vLypCL/4SiNyLUXDRrBBWJw8JNpjQJjxQD3Eh1YVAFUmX8ku+vj3bBuyFEelvdJencjwJoyOIIzdlgE5ACoglZ3YaQByJq+yOVRBFjziKfWov0xmi062cipb4HIoBQ5oCkgKhF2qMjv3YM/SYNkT4FalXktUH0aalQ2LX7XdNg/d9lcvoLxs9oea7T9elYZSsFooACCvix+mPyRcviwRnO8DXL15CReSn+EnPVuQDUUkuWyGqRuELz/fxOyjs8ojyCJmnsiO0gm+bxTNPENKZp07p0HlfRDLvd3qE5tl1Fe4ltZ8bR9RZMym19kOo51bhCIQY9lYysSaTWayRX6whvDBrcCHcd1NnQRxYg7x8DsSFE7z0GKQHcehTJ1QjhX0NaEpyQkfcdQ6qsRqR5zPdTP7IIZWA+2uxJ7R9ULyGx+xIIBKipqcFms5mjeHw+H4qimKNCDH2uzWYzWUo9KcnpbRhuzYFAgEAgAIDf76ewsJC0tDSsVmuHTC9DodAVi416Ap3dV4UQqKrK0aNHTY8Zl8uF1+tlwIABeDyeXu3eJ+6hbUkQjMcYhS5jrVBV1WQiVFdXt9CKdtbU7NX1DRwZl8K2z+fw1a8d5al/luE7HkY6EkH5d5CJN6Txe3uMSj2H36oKz2lW7pe/S6HYzZ3WVznGITwp5ThElBrdT/4TJ+ABP7yYAnEJVInq7NH4lGqkV5uwDv0FyMnNEimbFakxjHz4JLbvPI4+qADpbBXKzr3YfvJHiKlE7lqB9s8XqPe4qV4wAZ/Ph6qqvV6YMYpeqampDBgwgDfeeMP8XMvKynjvvfdwJLBEL8d60ec0tsYNl9ix7Sqi0ag5s8jg+RuC9X79+nVbE9KdgLlDG7hdRhlhQXZawB1Dn5GM3KDx87IB7M9xc9/8Gq7bUk7VilxiVhVZ13DrEpkKxGJxDumCufvewmdPpkKLMsxpbZdebIyzMFyCz5w5w4EDB0xN6aUE472NntDn9nbi6HA4yMnJMS3pDfpWdXU1e/bsIR6Pm4wAn8/XQmfSF3QJfRHGetCdwkRPFKCanx9FQsCvlqO8kUv84YHs6j+GP+pJTENnUWOUut9X0f+VevT5ycTvzoCgStJ3yii02mDuha+r3pYG7XR1lR0SQltK44B6oB5VWYF0JITFa4dckGqOIW88jD4ziPwrG9J7lYjPr0Xam4K0QUbY65GKnwea0OQhIBwosZ8jPz0c3nIh5RxDXToUeXMlyp8PIp9xon5jQZc+n4PvSPz+fxVkC/zr7fMBU8khieRHf8L3l+v0v775d5PEpHOW7sLUKqeTzmR9Mh482DgfIHnw8LT6dJvfx+DwYKxYcQkXZ6QzZIvsLh37VVyInigoXQzGWqdpGpqmdajb0lsQonnciBH81tTUmMZKeXl5nF2YwT1rnVgaNZ6Ovg6OOGLeQeTnJiBVpcDn/4l89wb0ny1Hf8WDattB6eE68jN3Yrc2IttjiN+OQDwxD3nvEUS6r+UBZPsva6dWVVWzYxUIBMxCd1paGkOGDGmzG5s4TeBi+twrHSe0haamJqqqqsxuktvtxu/3M3bsWFJTUy841/YkUmfOnGHdunW88MILvPzyy+zbt4+BAwde8H7vB1yKimzMSDa6snV1dUBzYaAn3dE7CuM7SOwyJ64RicmbEcNWV1dTV1eH0+k0O7LdMXn94ts1jDvaxMx70oj9dRA5gPxMAP1QGHlvGPvkvcSeKiIjw8Ln/nIWx5w03hrh5l0xkcfFBB7jVnQRp58UJyTqmGfZyNce+wuOP1Wj/G8KIcWNJ3sX4jMpSLvsSItqEX/0IZ2Jg92KPsSDfKgWNB1J15EaQqBpSM9tBqEjb9uJYrGQYbMy6v6P40n3X3aTVgPJyclmHJxYXGgt4TNi4Z6et93RePqyUZENCpTxwXcmIDU0kMZPKBTqUZ5/a3SF99+RKlMihM+C9sl0xHsh1I+mQ4aVwSslTlXpyNPsuJK9fLKyhoNOQexUBSGfi1lnjsLmfWRHo+TesYh9eUU0WRSKLBrKRb7H1i7Bxly8YDDIgQMHLhCMd8dIqrtob/NJdNJOpGZciRmULpcLl8tlulIalfHq6mpOnDiBrutmQBGJRN43Ve/LCWMTUlW1yxXhria2Z4TEISEzUGqm9ujSeKKWAdhqQggtgtSkU4WbEBIOSVCzpQHvv6vR4jqKJoFdRiqPIzfpuCKXuE/qNGw/LEMf6UT9mB/qNayPVwAgf/vcRlyWgu0H9ciOU6hPDURa60f64ySkCi9iUjJSfRUUyOhZheAcgj7cifKHxYipIRiTAzQCNrSPRZGG5qPPTAHJg5hWhigvRZ+dCnSNJVM4WGfalDiFk2VCjVB6Xxn51Q00LOlHJJRKxSmoq9ZJ9oDcpKF8/QTxFAun7iqgYDAETtlYvvdRpi7QkTpwGwgh8Gk+tsS3cEY6w3gxvtPHfBXtwzBx7GkkFnQBKioqSE9Px2azXXQf7GkYLCVjPTbWYr/fz+DBg1vIkFKSYPh0GDYCxM9tSGWgW6YhpelgAf1ON7IvBSmeiyznYc/9Aumua6hv+Bc1VTp19RAXQ0ldVID/9sV4vclczrTPSNyNUTy1tbU4nU78fj/Dhg3rdCLalj7XKOAeOHCAaDSKx+MxE91LOd72NIyOu5HMRiIRvF4vmZmZjBgxAqfTeekXOfc6u3fvZt26daxbt459+/YxefJkiouL+clPfkJRUVEvn0nvobXUQNd10zXbMEtN9JgpKCjgwIEDDBt28dnKPYXWDEaLxUIoFOLtt9/G5/Ph9/vN67YtnazP5yMnJ4eRI0d2+Pu+FJL/J4/FOqA0m7Pa7j6GVK0S/1k+h35Whe9MlIzX6lH+Uc2mIjfrZyo4dZhSGeOWv5bzxk3p7OrvwoegQm/gN9JAFttOMP5Tleh7w8iOweiu0/CpMMHFhURjE0j6hU5KwyGUaAnyzBr4TAb6ax5OLZuJ/28vkHSmCiUaRU3z4GoIEf/8xxCjBpF701fRJwxHve9WrP/zW9S7bkC9dnKvm7TChfGDxWIhPT2d9PRm/4BEg9qDBw+aeuxE35/u5GnGNdPnqMiJHZqLJSSGa62RyDY2NuJ2u02arcfj6ZERPO3hUhfCxYwuEqtMF/0C7DLaHRkkDge5617BgqooVur4V2od6+sE/hN1LMt2cMiRQt2YSXz2SCVNtY2czs5lsU3CJekXTWrbQuJcvNaC8WPHjmG1WluMwrmSRhKtK1BG8NTQ0EAgEODs2bN4vd7LQs1o7/ha6xISuwRVVVVIkkQ4HDbpXW63+7IcW1+GkezHYrFeT2wlEcSqPokmjUazFPOGrrBLyEiKDWfzCwE+1G+UIFVr6P0GMljoLEDjGlnHM95JeFYyobnJSLOTkd9sQh/soOk/MjlwsJSL2cLIpVHkwxHkShX1Y36kihj6CCd6kR09JYSoFQivBT3PhhQDeV0N+jQv0kkNfa4PKuJoywYiCr8CJMNwCXlNNdKzVqjoB2NlIAXN/i3kQzVQG0O4myn0Ims46md9IPmgKo4UPrde1atYvnESMdCB9tWLjzdy/7mcb75bhT45k3f2ZqO+HaUsqlI1vZY7Pq7Q5HTyo69amDE9xvXXq0ilUU5W6PzsgMLtD+j87ocKwQoJu1MwZV7zd1VdCVvXyFwzV0eSQFUlCgadZ2pIkkQWWWSJ3nHubQsfFrlAT5lHXaygW1hYSGVlJSUlJaSkpJCeno7f7zcNrHoSRpHWCKgMmYjP57uko29SCnzr53EI6/B7BZFsQbutAPU/nQiLBFmjsPx1KdbnBKRK6K4lJCcrkPwFfDktO6RGgdgoaPr9/l7RqxrBo5HMapqGz+frdHLXESRKcgzJl3G+J0+eBGhBW+6t8zXoxcFgEFmWSU9PZ9CgQaSlpXU4UA6Hw2zdupV169axYcMG6urqWLBgAV/84hcpLi4mIyPjA7EGWCwWdF3n5ZdfJjU1lbq6OnO2aWZm5gWd+8bGxl7VbV6Kwej1epk1axY1NTVUVFSwd+9ek24qRPMMXL/f3+3JHReF1GzMaiIqQIc9Niu3PD6MmFPmPinOQ784yz++0J8zXivWCg2pPM6yHbUUD7QRHGRhk66gk0xMb2S1NIeQcyzX/LY/srYLOfoikmgiuf8PiNcPwd1vOjFVo6EuB5+lnnBuGtXLptHwkYV4fF74r1+jD8iFqWMRm15DXzQD4XIi6QKpPIDyylvIew6jbNiBPn8qQLvrMfSMnvxS7LrWEr7EedsGs9FYHw3H5c4cS28Zv/XIuB+4UARt0CMSZ8k6HA68Xi8FBQV4vd7Lmly1TrzbujkvZnTRGRhVyNbuxa/nDyE1Vs+K13Zx/QkLx+4aTdxiJXLHMp6KK0RlmTtllaxufsetE7NE63+DjpScnIzf7zf1pFeCWmsEMMYmZwylHzBgAH6/3yw0GIlw65/LBUmSSE5OJjk5mf79+7Nnzx5kWcblchEIBDhy5Aj9+/dn+PDhl+2Y+iKMwlR3nZE7tCmLaqAWmWNowFRZI00IhnGE05ZKrOovkEQVklIJGTKaGMQAycsApdkFyfp8Jf53jqCOldC2jcf2WAXaRDvRb2Whnr74gq+PcBK/09/shl6nYf/2aeRTMeL3ZpwfLeSSif1nLq6PHUf6TQX6E4Vo38mD6jjWB04AAtVTgMiOQ44NfVYKVKuIHBvKd06i3+xHjHGj/KYCVIG+0IMYds7UQc6CU1EsnztKpjNG4FsSVKlIbzcir61Gn52KmHiRhKNJRz4Zhb8FGPp8Fju/W8D61CjPDnNycyo0fUWmYX09c9YcwPKUFc1vZXetm33lCgd3CzIccbLqQ+TsDPPqL3X+1pBFQ6R5/aivk9i3U0Lo8J1fqXjSPjxjOa4UOuuaaqCtOZHQdkG3qKiIoqIi09AlEAhw/PhxbDabmeR2ldba1n7pdrtNum1njP1MOGUiLwxrNnRJa1kwV5ePR4jq5nsuueXxWiwW03Swtab16NGjpqbV2Du7QssTQlBXV2cWnuvq6khKSsLv93daS9gdSJJ0AVPJMJaprKzk0KFD2O32FvNzuxKzJXahq6qqqK+vN+OPzvilCCGoqKjghRdeYP369WzZsgWfz0dxcTFPPvkkc+fO7dEiQF/AXXfdxdNPP40QgvHjx3PnnXde0iz1Uk2mzqIrOlnjXjZMOo0CWGNjI7W1taiqiqqqaJrWJsW8pxATABL8rghiOs8d1in3WtEsEk/KCoN+VMTRHBfBVAuyLqjNczLr/w2mwCfzUo0N4ZC5z6LyEauT76m3sksTPCSreISTEZKHqFhMWWUBgcBpTsW+iNMWJCIWcTYWJvzZFGpra9HKzpBcXkH0G3di+fzHcDqdSI1hSG3+TKL//AnCYDOmedAmjMC+5HOITD+x3/0/pFYeRm2ZtHY1Nu7s3tx63nZTU5O5jh0/fhyghe/PpUx9jeupT3VsW2+o9fX1pqlBXV0dFosFn89Hbm4uXq/3igv4dV2/wN7a2MQTzS46i9Yd0pqaGpMClJ+fbwqws3WJUl8qMzdGsTREuOt0Kcr+ozhmjGeWz0e1ruPvyRM+h8SZr4MGDSIajZoLz969e80KsXExOp3OXllojBvBCIxqa2txuVwX3dATb+b2bmS4vN0ZIQROp5PCwkIKCwvRNK3bbsAfBCRSkbuKjia228QQkuT7GSd7AMiWBDmUgeVRHFkNyHouoKEqs5FwAM2PQwhs6vdR8jQkxyjk3IPEs6Yi/HUoo9ZgE8OBS8y6liSUd0NYXqiDsI7e3468J4zl6SDy7ITOvVVC/1QG1GmQcy4g9FrQbvZBrYby0CmwSajPDW1OXj+Zgfz7CuSt9eCxoI1xo343D6k8hhjSKmCzSdCgITdpoANFDvQ5KUivN1F/IIYrP47lRASRZ0f+axVinBsxr/kz0O/JInYixstnkznwgMZtH4/BFBcv1Vqw7tWofStKnhbBio4U0aiwJFGVm8xIj86kuTppp0JsekPil79wslBUcVJA1CpxzbU685ZrVJ5REPp5x+iriW3vojNU5EuN4LlUQdfhcJiBjaZp1NTUUFVVZXY3jaQvPT29XblGWzpZi8VCWloaeXl5+Hy+nokVvO2EN8kK2u2XHtXTukBsnG8wGOTo0aOEQiFT7mN0r9u7zqPRqJkgV1dXI4QgLS2Nfv36MXr06CseG8GFxjKGPtcYE7J3794WI/MuVsjQNK1F0Toej5ux4JgxYzos5dF1nffee8+kGL/99tuMGzeOJUuW8P/+3/9j7NixH2i/i6VLl1JYWMjKlSv5zne+06HndNenojMFL7hQJ2uYDxUVFbU5VjEWi5n3wu7duwHMe6gn2YRNAq6L2pGBFx1RHE6ZsSMlkuOCsAQu4JmZPirqJWI2mbil+Xx2plo42qRSZ5HRBazWFf6kWxgg6dwixXkoJBGODyUt9A9y6xr4ZOOZc8f+8Qs6lkIIIm/uIeXpjYh4nA1jC7C73aSlpJCWno7X78fqS8Ux43YQgsgrf0aqqUc6XYF0pgJUDawW8/NP/G9Pxcbd8UNJSkoiKSmJgoICszAWDAbNwpjhf5CYWyTCuL76TMdW13VKSkrweDzcf//93HTTTRw5cgSfz0dGRgZDhgzptQSpo8fXuspUVVUFNDvrGdTnri6KidzzRPfii1mR95cF/Z0KfKwYffcBUna+i/zuYbQMHxOmeeAyrc92u53s7Gyys7NbBBnGxZjoitYdAT9cuMHFYrFO0aza0+cmui0b3+Hloi231gTIsozVav3QB+/GhtTbHdt6ARuEFUERQ4lhXEGCFHTRj7pQjFTLV4EoQi5o9WwdWZxEXBcnsmgiuvxRhOwg/lQTVu0wsp4PZFyYjNVrSE0aIrv5HNXrPRDSsa6pRdhl4p/LQGTbELZQy3db0cpsSpLQ78uGehV5X7PDsuWuo0iHI6gP56PfmAbJynkN7YwU2vw0smxIikSoSWJfeTKjBfC9Ak68EGVPrYu5PyrFe7oJfbkPqUmD8tj510mSqfl6Aau/aOHA01CzI8xX/6ua7/wqzusNSXw1dgpPWhxlrpeGb+bz5yechEMwIBpj5R0hVCfsqXVjsUDxvEYm1UawjXIybaHOH3+iUH5KIj0LrOfik6uJbe/iYlTk9kbwJBZ0u8pMUhTFnB2e2JUrKyvj4MGDJCUlmXotq9XaYZ1sX0Xi+cJ5Wl4gEKCkpMQsZhvxRWK3t7Gx0XTdz8/Px9PgQNnWiLbMC46+Y96UiER9LrSMeRL1uYndXMONubq62uzmd1YbHI1GeeWVV1i3bh3r16+nsrKSa6+9lrvuuotnn32W3NzcPn+t9BRuuOGGThfODfZkZ9bdjo7qkqS258n6fD6ys7M7pJO12Wwt4s+6ujoCgQAnT55k//79pKSkmPdZZ6eftDgnII6EdO7fAEudgoclKBMQBw4g45N1ss9EaHTJlKXZ0CUJXUh8dGUFL8xL46TPQgywRqKED+wkLzMPXEkcTsmiwdePSY4YkgTv6BI/iFm526JyvXI+YXOOHwF3roCcDObMn0/dkRLSbn6ASJKTl7//abKqGphwpgKRmoxQFCjIIfrH/8bylzVYfvpH1K/ffZ4JloBLxcatvWvaio170pE4sTBWWFiIrutm9/706dPs378fp9PZwoiqdQzfHjpbqOlSYqtpGv3796empgaXy0VBQQE2m43hw4fj8/ku/QK9hItVowsKCkhNTTWHmquqam5Cfr//khXE9ujFaWlp7boXtwe55DTK1l3o44ehTxuLPmpQd067W2hNszUS0cSqtLEhd5RDHw6HzUQ2cYMbOnSoOZKgO8fbuiJmXPTGPLue1CC0hbbm2F4F5vfancS2I3PdUiRYLseRAWfi1yo5adC/zsnKveQNbkfLKSlErT8EIgiSsegb0YQVTZ6NLg8hGvMAr13wNMdnTyDVqkSe6I8osKNPcBMb54LvnkGK6MQ/kwlWCU6HOrYIp1hQ/zwY5ZflyM8EEHEBNSp4LOi3dIC3Ua+iLvexMxBi15AkFgN+q4RrvAPXm1CVl0yqVWs2nZqVit6g8dK99cg5VgpLgjjebkSvzicacVNXK+N6/AwDDsqU6xquVJ3kVImAz01jxMa46Tpr/qSwZ7OgLuwmJzXOspQq4naFkioblWclvFmCyjKJs6XNgcTgMefX4Ksu4r0Lq9VqJrZXagRP4j4yYMAAQqEQp06dory83KSo2Ww2vF4vo0aNwuv1vu+viURanq7rVFRUUFZWxoEDB8y9yJg5P378+BYxhvV/TqJsqgdVoH3y0t3jvoDW+tympibKysooKyvj6NGjQPO16PF4GDNmDD6fr0PfsRCC6upqk2K8adMmXC4XxcXFPProoyxYsOBD7WHR2TnViYlOu3KaS6wTiQWvaDRKZWWlWZQydJU+n4+ioqJuJZ+SJJkmqAMHDiQajZqx48mTJ5Fl2YzR2+r+XgzJEmywR5AAV8LhjZAEIPGwNYoViTxrnNhvT3P/R3KoSbJgVQUP/fIkaYEY+4e5sDWGCLmcfPx0LR/fkUXNvbmkOGSOawpBJH6uWvisRWWvLlMuJF7RZV7SFCbJOrdaNLBYiH/3c0Cz7DctORm7rGBHZla/Adi////QHDZq8tLZtfN1fD4f/Q6fJvf/VkGyG/WeW8CX2qHPsq3YuHVHF87Hxr1ZdJZluYVxXaJ/wdGjR2lsbDQp6oFA4JLSjs4cZ5cSW0VR2LBhg8n7f/DBB3njjTd6VbDeFtrTybZXjU5clA2jImNUjqH5SE9PJzm5mUPXEXpxl4571GAIR6EphLL7IMLvQZ8xoc3Hrv6TQuCsxO1fVs0OSJehC5AvfnEoitLCFc2oShv6XEmSLpidayT9xoJkULT8fj+DBg3q1Wp84s3aGxqEtnC1A9U2JEnCarVeFiryJLltDVGHtFpSc+Jo0dZgVf+MJJ8mbv0ygmwkuTkpb30MIt2CFNLBlRCoyRKx7/c79wCBor+GRXLQgnohBJJ+pLlzrNmQdjYgRrvBrYM4jT4rA/kfDiiLIe8Pod1yycNvfut1NWi1Ks6FFq6N1RBTM2n6ZRnZoUbOTn2O/bUjUW9fzJBDpZB2mtD2gby50Ql2lVBSFOvcdSTvmkVK7TgK440cxoU620ZDdTLbbU7iRS52HXRyaJnMlPk6BdYw1ZLgLFa0aJw7FjXw4MEBxDWFeTfFmPRRnZwBUDRcMMoXwlavIkRS81y/y7wvXO73u9KIRCLU19e3O17jcjgXt6eTNbS3siybxntVVVV4vV5Tm/t+1UUmUpMDgQDhcBiPx0P//v1JSUkhEokQDAYpLS3l1KlTLeiW8lIvRAX6zOQrfRqdgqqqLWbL6rpOWloaAwYMwGazmTN0d+/ejd1uNzszrfW5QggOHz5sdmVff/11RowYwZIlS/j617/OpEmT+tQYoiuJzmroE8cSGmgvkU00RU3UyRrmbdXV1TQ2NpKSkoLP52PkyJE9PrEkEXa7ndzcXHJzc1vElceOHWPv3r1mXOn3+zsUV3ra+PPv7YlFAkFDiswvvpLNEYuTkFPBHY2jZIX555Qs9gxJRlNSUDTBmVcj3Dk+hdUWB5Y4SAiELPFXFXIlwa2KRgxAh59qFt7RZDboCgrwhDWG9dyxiNxMIi/+Fhx2XH9Zg/VUBfrAApL/+kPGJzkIBoNIa7agIaguyuFMZTlpWqzTXgMXi42NGdGJBdGeiI0vhkT/AmhmZpSXl3Pw4EEOHDhgmgQmOi53dd/qMhV5+PDhlJSUEIvFzIp8bwcUnbk5LwZJksxZb4WFhaZLX2VlJSdOnDAfo+t67zi4eVPQr5uOtP8obHsLefUWRL8sRP+Wbqa6Dmv/akHosOAmjbyirn++0tEIlsfK0eeloLWmR14ErcXihulFaWkp7733HoqioOu6mRC3p6u4HOiIBsH4e3dmhF3t2LaP7s7U7K4+CDqe2GjyFCSlHE2elfBknWH5f8ahvkRc/h4gI4tdRH86CFmvQJFWo4plILW8vhXxOrb498hwp1EReND8vay+gBJ9BN1yLeLZz6E8VoZ+nQu+9UdkfTva0G+h/no2ys/fhvnPgbgDJK9xIsjx30GNih75FCLfwQZVRhe1LJnyCzYNmEaoYDfDlG3848xv+NhfgqQOep1hy/5BftJWxGuTsT7xLgw8Tur8cqbMLWTSvV+gItqf1JT3GDBnF4fu+gGjq+tYtyeLkrgLoUO/UVEy7vNR9SqUHAWpUeNLthP8QPJzFBd2iyB0vZ/F1ynUBiQ+8gULtnM1vvEzBJZPn4awQE3PgyLn1Y5tL6OiooJ169axf/9+iouLWbJkCePHj7/s82QvpZNNT09nyJAhps9CRUUFhw4dMhPg9PT0XjWS6S4MLw3DzbempsY0kxo0aFCbHYfc3FxTexYIBExKXlJSEv7P+0nzhPDotj59fxjnXFVVZbL02vPF8Pv9pj7XoCGWlJSwd+9e6uvrWblyJbqus2fPHk6fPs3s2bO59dZb+ctf/kJBQUGf/e6vJAypQUcL6sZjVFXtkOGTrutt6mR9Ph+FhYVXLJ5L9IYZPHhwCybgsWPHsNlsLbq5nUm2E8djfjspk3eTvGiyAAnCDgv/decIHME4OpDapJJaq+KOalT7rSDAEtOJWWV0oAx4QrXglgT/1CwEdChDogyJmK7jlCACtPgEs5qL6+rHl0AkhlY8C3IzSYXmNfB7X0YbMpBY8QyEEBw6dIhIJNJihGdnOuUGhdz4/Iz7OCcnh6SkJJNh0ltjhdqC3W7H7/ejKAqzZ88mFAqZ30lpaSmappmOy8ZIso6i2+N+oPkiMRLBnsTF3Nh6ohrdHr3Y7Xaj67rp4JaYNLtcrp46PcSIgWjXz0B+6z0IRS74uyzDFx+OUxuEfoXng/XKMon0bNEW7b59NGhIcQFB7dKPbetYE4ThVVVVNDQ0kJycjMvlMhfGiooKotEo4XD4is/OhYsnukZXsSs3c+vE9sPWIWoPkiRhsViuaGLbmecLKZ245d5Wzw/jSz6IIs4Spw5FfwO7+iM0eRKSKEcSpxAWL5py7bkXCSHRgC4NQOAiqg1s+R5yOiAjyEYMdkKKBfmj30NSdyBIRUipiOEu+OkTyPoBhNof3bocOb4GJfYoaOVITRbUP0wmMi6fl+elM83yN6S0vzPKvY9qESZZqqKg9CBSdi7Sm8Nxrp6ObcUelCFfRqTcAjPPog+fj+asI+zWcNkb2b51BSffmsnwVIm/V+QytqGWPVIyYaFw+IyVnF9Wo0zwkZkjyM3TiZcrFI4GaRe4Jjr46Qtu0rMEX//ZheuJfp0XqTRqGmZdifvjwxQgr169mpqaGp5//nlWr17NkiVLSElJYfHixSxdupSZM2f2iCGL0YE0OjmJgUdndLKGIVNBQYHZOUg0kjGC1bS0tCsSUCfC6F4ZyazhpeH3+y8Ys9IeErVnRUVFLcb7tDZv7AsdbF3XTd1jVVUVoVDI7LAPGzasQzGQwW6zWCy8++67bN68mZKSEjPRjcfjHDp0iP79+3+o7tWuoKNUZEOGZ8Q2J0+eJD09naSkJDNONuIcg41oFKUMJl5HdbJXAk6nk7y8PPLy8szCSSAQMJM+Y2auMZYrEYksTcOJ3CjQXJOaxMs2NzIgARIS9QrUpjevmS5d4qFAE+qeJnYty8RXF2PG/kZWT29OtOqQ2SngV0c0Joai1A53cVQ0x4fFsspHLTrJEhzTJV7XZW5QtPPUaG8K6tfuvOBcxYB+iG9/hjTAaEMlMkhPnDiBJEkt9KqtC4mtZ0Qb4ynT09MZPnx4i++4t8cKtYfEYk1rh3ajcGokunPmzOnw63bbFRmaW8o91bG9mIi9w/Nk20FH3YsTkVitPHz4ME6n06RQ9YQtv75gKvqkkZDmafPvIye1LBas/KPCz75h48a7Vb70g44nEGKsi/h3+yH8Hf/KE4OOQCBgOjnm5+fj9/svoBYlfrbHjx9vYT5xpWfnQvti+87ezD0puP+g4Up3bLvd8ZWS2FNyDxMnjEOS0hBSIULyoMnjgFko+qvo8hjz4c74x5FEORHL95A5Q4q9FCGWm38X8ghAR1H/SnzC7cQ3jkAJ+5C1NFTHbxCWcaAJ9JWfRE7fhT5oOuTqSNp20CsQlmnoFVPA4cexP8SdAxsZPODnKKKR7F0L0Q4OxF5Wws2v++E+H+L3KrI9jJy2h7jtFPKym9BzHgTZRrLfzZOPP0kkUsA1u8MMU1X+LmVTIctkKTGKC2t53ZvO3W+U0HhW4Tu73UTyXaxda+OdwsEs/YLGNX+H4RMkTh6B3ELBS8/K7N0pcfc3NFLONZpba4SvFHX/w3KPGkHp7bffzu233044HGbz5s2sWrWK++67j1AoxMKFCykuLmbhwoUdnjUYj8dNqm11dTXhcJiUlBTTzTc1NbXb+5/Vam0hEaqrq6OqqoqSkhL27duHx+Mx99vLobNMNMEKBoOmc39aWlqnTZDaQ2utqvF+Rgfb6XSaiX1PvF9HEI/HzX0+EAggSRJ+v5+ioiIzQe0IhBCUlJSYFONXX32VgQMHUlxczN133820adNQFIWSkhIGDBjQy2f1wUB7e2p7sbLFYmH48OEEAgH27NljOtMa7umGTtbo/hUWFnZLJ3sl0NrIzehGJsbpBnU3EomYTuRG8j5q1CgzEfwm8FJU57QuMVfS8Ms6azULRyUZAcx3CT7uhUFfLiBqV0gPqkx6o4EtEzz4nBIWIFSjMnhnHSGvjTHDdRpllXohcbei8SPVSn9J8J6QeFNXcAA3WTrfYDISv7y8PLOZ1JoFYnj9GPOpDY1ye4wSA1dC0gftsx/b8v7pdY2tgUQX1K52bDsjYu8KEp38gsFgC+F7R+jFLpeL/Px88vPzzeptVVWVOXQ60YCqS4mborSb1LYFiwWEAEtnC9lxgXQy2jykPr3tzzJxkw0EAtTV1Zk0sTFjxlw0kDGMMi41O7cn+PM9hY7czMbjEhPdtqiVva1PeL+gLyS23YEkSTSE+qMyEiugy0MJ254z/64qS1o8XpCCRAVCykRI2YTi2TTXfQ1oQFPCv0Gr/SFaSgzqnGBV2StkpJcHUVTXn6QRIfQ5NrQZ30Qos9Et18JUJ4g6lF9XMOzfAeQ7Z6OnnkDPW4aQ6nGscaHsjSB+cRZ9uZdQ9XJCbwap3zqHwj2DUOJl0M/GiHL49+khNGQ5mFx/mmrVgitHon+yzpCmKLnZMPY7guolNvaGk2hy27h9VJDfr0tl91kL/QfLfO8pFXcySFLzWv/ALRYCFRJH9ulMmNn293ZVk3554XQ6KS4upri4GE3T2LlzJytXruSRRx7h3nvvZdasWSxZsoTi4mKys7PN7yaRwVRdXU19fT0ul8scE9ddh/xLIdFIZtCgQSb1sKqqiiNHjpgJX3p6eo/uH4kd1GAwaHZQs7KyOuTc3x0kBnADBgxo0SE2RigZXXGjE9UT95Jh/mR8vsZen56ezrhx4zpFCdc0jTfffNNMZg8fPsz06dNZunQpTz75JAMHDrzgtQoLC7t9Dh8WJFKRE5NZA4m0YuMnMzMTm82G3W6nqqqKsrIy8zswmAMZGRlXnBHRU3C73TidTlJSUqiqqqKyspIzZ86Y8YTH4yErK6tdRsQ6W5QI8Fjcyirdil/SOSMELiBDhs8VpXJWt6AAf/vbKQqfDlKWZSPS34E3z8InPnWYI4UObv/1cBASDgFD0FkWsxOSJKzA7bJKCToNPXC+sizj8XhITU0lMzOTiooKKioqOH36tHnOqamppl9OZ3xuOiLpayvB7cq61Fl6fUfRrcTWqHjEYrEOd2wvF73YqDInuhePGDGiU+7FrdF6eLtRMTH0pj1lU34xLPmExoxFYVI7aT4t7w6h/D2ANCkJ7RPnXRgNF+SqqiqTatUTlJTWs3ON2WWJs3ONDTstLa3HNuyu4lI3c6LzspG4XQ3YL8SVpiLD5aO+KqtqUOv+F/WWZJBdhG3PURUoAyoTDsZN3PVC87+lJN4ui3NqV4QlJU04/nECkhXe/dlA3rkhgxVHGplTH4cMK0gp6NZipL1NUF8PVXGkYBzpUBhe/Sy6JiGPDhP7opW68TKe3QL5aBjpaQ3HNUMpD/6JnHdKQRaIBSkEdsSoOq6R6lTxjpTZlFlAyQEZPBaWLGhCj6ZhLbaTO93G6acHEVyjcN9UndnPllOXGef4+HSWfEKQlNJcWDu6XyLVJ7j/exolhyTGTG3/M796n1w5KIrC1KlTmTp1Ko888giHDh1i5cqV/POf/+SBBx5g6NChFBUVUVFRwVe/+lWSk5ObXTn79eu5ebJdRCL1MDHh625ROdErIhAIUF9fbxZd25unfrnQOsZI1PQePXrU1PQausLOmMkY4zcMamI0GjUT+MQOVkfQ2NjIpk2bWLduHRs2bCAej3Pdddfx0EMPsWjRIrxe79V7voegaRqhUIgtW7YwdepUc0xlYqxsdPCMJk6iTnbw4MFmUaqhoYGqqipOnTrFgQMHTIp5enp6n6QfXwqRSMS8P6qrq016rsE0sFqtZrPm7NmzLTT9fr/fbNbYJLABbkkggLeEggosljW+bonziVjz+uJGsHlFOtOeCeKJavxmeDJL3q7hYKGTR76QjxwXRBWJmICjdRohh4LfAX50HtMsCODvqsQESWerUPioouLv5G2SOD/cGKGZlpZGQUGBOeGlNXvS8D/oCnuyPaZjZ8YKtYfe8quRRDeiQE3TsFqt7Nmzh9raWpOilIiLDXtO1K7CpWcZtYWL0YsN7nlX3Ys7g0Sb8mAwiMViaaEVuuIOf9Uqyou16GPdNOWLFiJyQ8RtOFj29rG25s8bx5D4nfWlSmIkEqGystI0z3C73YwaNQqXy4UsyzQ2NlJaWsqECW07W39YIISgqKiIxx57rFN6iES88847ZGVlkZ2d3aXnh0Ih3njjDebOndul5+u6ztatW5kxY8bFF38hsPw1iBTWid+ahprc7H5YVl7G1voQU4cMoqgihn1dA2KMC/xWhN/Kg4qVwLEo3/j9aUa9WIMY4KDm9nQO7I8wTtOwLfYhZqc2j/6J6ch/DSBFdbSlXiw/OoP0egNRj8IRqwXhU7D9zEZjRR1jVntQ/lWN1KAhpiSj35FB7IflVI7y4pvr5NSPqtnn9FBxfQYFQ2HfzuZC5DB3mLlnykmd40L/ZMYFpyntqAdZQkw579566hj87n8sJKUIvv7TS1Oq3nnnHTwez2WjHhpV5SuZlPV11NfXM3DgQOrr68nIyMDr9eJ0OrnmmmtYunQpkydP7lTSdDmRWFSuqqoyXVsNynJbLCxDH2z8GPRtY3++HDFCd9GeC7OR6BrnLb9Qi/XXFcT+O4/IQKXNuCQ9Pb1ThjtCCE6fPs369etZv349L7/8Mv369aO4uJhly5b1mI77Ki7EgQMHuPXWW6msrCQWi3H99ddTXFxMTk4O8XicpKSkFjpZ4+dSWuhwOGy6lBtxjZHkdlSucLlhFGeMe6Cz4ygT5XXBYLBFgaw54bMTAv6tKazRFB6zxsiR4eGYhUc1K2Gau4EfrQvzumSh1Kbgq1Op8lqxxHQGlkU4WOhClSVkXaDJEg4ZlkgqG4UFC4LrZY1UYIeQ+aJFbR4JdAkYCbxx3MYIzY7E7InNvmAwaPrj9BR7MjHJBTqV6AYCAd577z1mzZp1wd8SoWkaNputw3tSt3YuSZJMK/LEjm1Hhz1fKXpxb6C1TbkhbD98+DDRaNQ0nLgSlTFd16kRdQTGBQkEDhE+He60AUZPoi3+vLFYGbbuqampZuBxuRdZg6ZVWVlJZWUljY2NeDweMjIyGD58OA6Hg0AgwL///W/WrFnDli1bmDVrFhs2bLhsx9gXIUlSn6Ai91bHNlweQz0dJ3mkE5wy6s0+iAvKkix8U7UzVNKZK1v5Z1ou2zUbvwlHIC7gcBjp3SbwW7l9dDInoipDqmLot/nR7srA81gZ03Y1oc9IQZ+SDLpAXhOEqI4oskNNHHlzLdrkJJTTUWL97ISDOtZkBcsZnax/qkiFNvTrU5F3h9HcCicCVhrSvZz0pJGjSlR54zSMSCEclvnTT2ViERg7XWfel2U2PZKOrcbOmFPw5A8Uxk8XLL29uQgppqVc8DmkZUBuf0H+oI5/zpd7Pe6LQVlfQkpKCmvXrmXs2LHmmJYNGzawatUqbrvtNmRZZvHixRQXF3Pttdf2qGlid9HajCkx6Dt+/LjZ1XQ6nWas0NjYaAbABQUFfTZwvxgSdYVDhgwxqdrBYJCSkhIURcHn8zHslxrWN+OU/2ov+1Y0mEyywsLCTsVGuq6ze/dunn/+edavX8++ffuYMmUKxcXF/PSnP2XYsGFXXE70YcCwYcPYs2cPmqaxY8cOvvKVr/DMM88AsHz5cpYvX87EiRPJy8vr1PfhdDpNmZ2hsa6qquLtt982rzWj6HUlGzOJrIXq6mqsVqup/+5sE6S1pj+Rdbl//36Sk5NJT09nud/PjKRU/qxZuF3S+IhFY52msBcZD4J3ZAslDgsyUJluQ5Ugo07l0R+f4Pu35/DW6CQakq0ggQOBXRJ8T4nyhGrlLV0hV9JJAebIbSe1bRXvUlNTzQktnaEW9zZ78mKSvtb5X1uP7401pNslWZvNRiTS7Ogbj8cvmKXXE0Phe5Ne3BtIHEycON7AELYbbmzGeIPe+GITKRrBYNBcqC4lIr8SaG0EYAjfg8Egp06dAmhBo+iNTowQwnSQq6ysJBqNtjDKslqtnDp1iqeeeoq1a9fy2muvMXr0aJYvX84jjzzCiBEjevyY3o+40lTkxAWzK4Fr6wXagKYJPheyE0qy8+vyCN5Ce7Pt/6Y6YgNdxIfYqUYiQ1cZFG9kipSMdCaGvK0Ofai92Q15QzXjf3OWMV/PQc6zQ6WKtC+M8FuQrFLz49fXoC9IhZfr0atjKCOTmpPjBg0pJtAezMWZamX4iQiKLHG2NoBvs4aysQL1f/qjT1Rp3Bbi1YNOrAtTGL9Apl+hYJ2egysO2X6BEDpWGyy7XUNPtXI0xYFUAXmVOuEmidLjF/+M3Mlw37c7bn5x1Wytb+Kaa64x/52cnMzNN9/MzTffTDweZ/v27axcuZJvfOMbVFZWMm/ePIqLi1m0aBFpaWl96vt0OBz069ePtLQ0KisrqaiooKyszLyHk5OTGTRoEFlZWR+oLr5B1c7JySEYDHLmzJnmiQU3C7L7WahYrJCXl0dWVlaHE/lwOMzWrVt5/vnn2bBhAw0NDcyfP58vfelLFBcXk56e3qe++w8TFEVh5syZPPDAA6Z56QsvvMBjjz3Gu+++y9SpU81xX511m7ZarWRnZ5Odnd2Csn7gwAHi8ThpaWlmh7C3O/OqqrboykYiETPxGjRoUKeSuouhdYHMGPsZCAQ4deoUv+4/gh3+XIJqhP9OknnFITgrIFOCV0uirDwQJzDKzSt5TgJIzItr3PfwIKz1Kp4GnZhdR7NINFok/qZbeSGik1yjUu+zUGZVyJIEcsJpJHr4JM6ILigo6FHzVZvNZn7XiexJw8vAKAx2hT15MUmfpmlmXGY0OXsrNugWFVkIgcvl4gtf+ALXX389DQ0NJiUoMzOzyy6GRsfMSG6uFL24N2DMz2o94Dw9Pb1bF6+hGzJe16Bn9bbmt7eRWLkyZqwZLpXddY009MUGzRgwqThG8HbgwAFWr17NmjVr2L9/P9OnT2fFihWsWLHi6ty9NjB27FgefPBBli1b1qXn79mzx9T4dQXRaJRXX32VuXPndtnMYMuWLUyfPr3FGiP2h/lMnZUGSeLXtggpE9zIbzZheSaIPtRB+dQUkpJkapUA1fvOMuLacVh/V4n1mRrEECdisAP5z1VgkxCTk5F2NYHXgvbtfkiHw0g7GyGkcWaYm4YhTjae1dg20M0jT5cz4ONpSEfCyOtrEQMdaA/koPxvGVJUp+RmndTHa/E1udC+l4+Ylky4RlD13QrS9Bju7+ZAhpWnn5CpOC2x7JM6A4a0XPJLj4Figex8KD0O/kxwJXXp428Tb731Funp6eTn5/fci14Ehm7n/bpH9CXous67777LypUrWbNmDXv37mXq1KksXryYJUuWMGDAgCu2BiaO/AgGgxdQc91uN6FQyKRbGgVxI0B/P3ZtDUQiETMArq6uNuVE6enpeL3eCwyx2qNeCyGoqKjghRdeYN26dWzZsgW/38/ixYtZvnw5c+bM+UAVAz6IEEJw6tQpVq1axcqVK9m+fTvDhg1jyZIlLFu2jJEjR3a5eWIkPkaMZHQOMzIySE9P7xEmR6KRmRHvOxwO81rt7IzanoCu62yrD/E7VaG49AjpwUqzY2rS/gEkiWsjdgJI/K8lyjfCNia/VE3x+iBn3TJvTEhh84p0mhSZyWfCRGtVGtJsJDWpPJCkk5Op4606S/DcfdzTU1c6i0T2ZDAYJBQKmU74BtW7J2jLsViMqqoqysvLAZg0adIlJ5HYbLYOXwfdSmx1XWfx4sWcOXOGgwcPMmXKFGbPnm3Sm9xut2mEcCkKzMXoxX1hJmpvwEjajA2qI1qhRCRa9AeDQYBWeoEPnubFGEFhnLNB8zZuvI5+ZpWVlQSDQaxWq7lIezwehBDs3LmT1atXs3btWsrLy5k/fz4rVqxg2bJlfa5b0dcwadIkPv/5z3PTTTd16fl79+7F4/GQl5fXpecbie2cOXO6vABv3ryZadOm4doewbKtgfgd6ZCswB8r0esFyifSEBkW7F85idAhfm86cmkcojo1agO8XEvqTf2Jz03CuSuGyLVh/Z9mfawY6UIvdKC83oA+2IH4aDrCLiMdCEFpjG9cl871qwJsmOnhcIGT/9waYPTdGShPlCHtakIvciBuSUN+swkq4hz9WJz6WCNjRo0C2/lFX36iHKkshvbF5sS2qqx5/vXQcQJjb4jH4d0dEnlFgsyu1RE6hF27dpGZmdnl77SzuJrY9g6EEJw8eZJVq1axatUqtm/fztChQ80u0dixY3s1EDMC4ERvBpvN1iIAvhgTKbEjEwwGzVEYht60L7GYWiOxcF1VVUVTU5Ppemok8e3tS4lmWYax0DPPPENFRQWlpaUcOXKECRMmmHrZMWPGXKUYv08hhKC6upq1a9eyatUqXnzxRdLT0817dNq0ad26zo2CSlVVFdXV1bhcLrMZ0Bkn7cQGjxHvJxZe+pL0AS5kQCZ66Ni9PkKKhflRByeRyIzqbN0f5O9Vgl9O9lGfrPApi8q7pzXqIzpJus5Pf3yYn34+kxeGZVAQj/D3xjJy/GmXZaRZZ5DoTZA4MsmItzsjqzSKjJWVldTV1bVoghp7dVuOy0Zn97IltgaMDe+5555j5cqV7Nixg1GjRjF37lwmTpxIUlISdrvdTHJTU1NN6meioNmgFxuC5r5EL74cSNQKJWoJDAdEw6io9TiexAr0h2lDupRxmJHctzZ/Mqr2RsElFouxdetW1qxZw7p164jFYixevJgVK1Zw/fXXk5TUg+2rDzimTZvGpz71KW677bYuPX/fvn2kpKR0ubsXi8V45ZVXmD17dofWj6CAMBL9pPPL4ObNm3FPm8XPDip8+qkzLM6QiH0nt/mPccFLioX4iRjLf3wKbBLaYg/ibAzbbyoJZes0yBHsd+ahLPBjsVhQoqB89zS21UG0CclwrQdpTyNSvQ4a6NNT0D/hR/5LFWuGJ1PptXJDIELT9BRydQFJCtKWWqRDYcQ1yYhhTnA2n9uxY8dobGxkzJgxLU9ME80UZkfzehAJw8nDEgOGCmzn8r333pL41+9kBgwV3P6lzo9q6yjefPNNsrOzu9yF7yx0XUdRlA9kYa+vQAhBTU0Na9euZfXq1WzYsAGv18uiRYtYunTppc3XOohEN2TDtd/wh+iOm74hbzKKygbd0dhL+4JDrKqqJkXQmCNvxAOGPKajiEajbN++nXXr1rF9+3YsFgvRaJTy8nLmzZvHv//976sF2w8gQqEQGzduZOXKlaxduxYhhMm26K52PvH6rKqqQpZlM8lt3WU1mjiJxRW3292Cefd+iV0TPXSMrmaq18tnBk3ksMXBAEnwlC3KZ+ssnNYkrLogQ6hI5Rr1KRZccY0vlZZybFw6v3H7yJcEm+0RUvv47Wd8h0YDsra2FqfTaRYVWxcHE7v9lZWVNDU14fP5zEZS68Jza32ukdQ2NjayceNGUwbTEfRIYtv64CorK1mzZg3PPfccmzZtoqCggGuvvZaCggJzIYWW2sr3M724J3DoXYm9OxWuv1UlKeX8zVNRUUFVVVWLkUper5fMzEz8fv9VmlACjGDFqGqHQiHTCj85OZns7GwyMjJwOBymWcratWt58cUXSU5OZunSpdx4443Mnj37alDcRcyePZtbb72V22+/vUvP379/P263m/79+3fp+YY+sCOJrS7gJtVJBHjKEiHnXHK75aUtVF0zkz/GnSx+IciX1CjaJ5tHZIV0wUcDNqRald+erSUjEEd5J4TulrA9U4uWKbPr6xGqRb05dzNnjxPf7xuJBlXK8p0UjHEgpqcg+azIe0KI0W6U75dCnYr624EwsO2gWl5TDaei6HdmgPsSiW0rbF0j8+oGibnLdaYtaD7Pxnp4ea3MwBGCIWN6b0TSzp07TWO9y4Grie3lRzgcZtOmTaxatYq1a9cSDoe57rrrKC4uZuHChR2WwgghaGhoMPV1PSk9uRgSfTBqa2vNkSCd7UR1F0ZXw5hYYHTEEkeTdARCCILBIBs2bGDdunXNxTq32+zczZ8/H7fbbY6J8Xg8vXtiV3HFoaoqr7zyCitXrmT16tVUVFQwb948lixZwqJFi/D5fF2+zhMLRVVVVSaTzm63m5pZIUSve6VcCRjmVlWBAKX1DaQpMnqan3tzhxOUrCAEig7uep0Fr9RwazTOgheC6I/2pzTLjg7ky5dnRGFPIlELbUhBUlJScLvdaJpGXV0d8XjcNCEzxi9dCgbrYN26daxevZrNmzeTn5/P008/zbhx4zp0bD2e2LZGXV0dd9xxBxs3biQajVJUVMTHPvYx8vLyyMzMRJKkFifel+lAvYn/fcDKwd0yd309zriZDS3G8TidTnNzDYVCZrWr9SyuDzPaMn/yer04HA7zBtyzZw//+Mc/iMfjHDp0iMLCQlMve80113zoP8OewLx581i2bBl33XVXl57/3nvv4XQ6uzwaRlVVtm3bxqxZsy65lggB92t2KoTM7yxhPFrzUnjwB68wMG0A++f7Gfl/VThliH82E/Y0Yv17kGcyXcQ0iY8Gmoh9qpmaro92Yv+/GqQkBX2pD16pozYjSm15Dcpv4girzq8eLODAYC/fDEaYNNqJZDmnKQlp2O8pQQrEUf8wCPLb3vCV752CJh3t89mQ31wEPHbsGE1NTYwePfqi53r8oMQrL0jMXaqTV9SFD7YbeOONN0yTm8uBq4ntlYWmabz++uusWrWK1atXU1JSwuzZs1myZAnFxcVkZWW1CKATXTqDwSCaprUIgC939zRxJEggEABoMbqvJ0fRtS7GhsNhk5Lp9/s71VETQnDo0CHWr1/PunXreOONNxg5cqRJMTZ0bFdxFYna+dWrV7Nv3z6mT5/OkiVLWLJkCXl5eZ1OcnVdv4AubzQWkpKSyMrKIiMjo8/RbXsCRiPK6E7G43FqbA6eKBzFiWQvVklCisjcXhvhe98+hlQZJ/79fsg7GhGZVrQ7Lxy1936B4VVTVlZmjlCC8ya6xrp5sUKGEILy8nLWrFnDmjVr2L59O6NGjWLFihXceOONjBgxonNOzb2d2AL84x//wOfzMXHixBYVIyEE8+fPZ9q0aQwcOBBN01q0qj8sgYmu6+zc1sibL8cZOuUIktLYQm/QeiFovfF2h6L0fsalzJ9kWaakpIQ1a9awdu1aSktLycvLM7VFr7zyCpMmTbrCZ/HBwvXXX8+CBQu49957u/T8AwcOYLfbKSws7PyThUDVNLZt28bMmTM7dB/IG+uQT0RRP+LFsqEedNh/9D2Gnc5GyXMiojpyaQxtkA1lewOWA1EEIPJs6APsiOu86Hec25TUZvqvdDyC5akK9FFunh2RzG+jCrmVUYZmhtlQ5OKjx/YyzKa0uL/lmI6yrbGZYjzH07aJQmUcqU5FDHTAud93NLG9knj99dcpKCjo8mzizuJqYtt3IITg4MGDpvnUzp07GTduHOPGjSMSiTBy5EiGDBlizlXsa4VaQ59qdFGbmprweDwttK2dhZHIV1VVdVvrG4/Hee2118yRPKWlpcyZM4clS5awdOnSqwaHV3FJCCEoKSlh5cqVrFq1ih07djBy5EiWLl3K0qVLLzrWKRwOt9BgJk4EMaRg0Wi0hS7X4XCYcZrH43nfXp/RaPSiM6JlWaa+qYm/NsSoCoX4e2oWabrKnw6XkNmUgjs9GcenSiBJIfrcEJRt9WgLUiG17zf3WnvV2Gy2C7xqEqnn9fX1LZg3TqcTl8vF8ePHWbNmDatXr2bXrl1MmTKFFStWcMMNN1BYWNjla+OyJLZtwaBFPPvss6xevZpgMMi1117L9OnTGT58OLqum7NDr8Ts195Gaz1tohi9M5tbW27Ihntbenp6j1mj9xW0Z/5kaLeh2YDIMH86dOgQs2bNYsWKFSxfvpx+/fqZnW+73f6h03H3NpYuXcr06dP5/Oc/36XnHzx4EKvVSlFR59qKyqsNSPvDxJansnX/qx3W+Fn/pwxlRyPawhREphVdFeyqf4/xB7OwloHoZ0Ed5UI5HUM+GsNSGgePjPqxDMi3ow9xgq/5Xt2nS/xdtfCx16sZ+5dKqj6Sxk0zMjkZEnzk5SA//GsZ+kO5REZYzaq2oaXPtKdR+JSE3WEn9nAekvv8rO+LDTh/PyS2r732GgMGDCArK+uyvN/VxLZvQgjBAw88wJNPPkk8HqeoqIicnBwmTJjAwoULmTx5cp9fj43Zsca9a8gNjICurQTAML0ykuO6ujqSkpLM53XGndnY7zdu3Mi6det48cUXsVgspm7yuuuue99OQLiKKw8hBIFAgDVr1rBq1So2btxIdnY2xcXFLF26lJEjR1JaWorVaj2vLz0Xb6alpV3y2jM085WVlSYbIrEZ0Zfvf0MmYdz/xhQY4z6+mHHpWQEPRK1MCtWxsLyEQCBA/6dlBmywE57vwp6fjGNVPertftQvXp4CcGdhGIdVVla26VVzKdNWwyth37593HfffeZ4tkmTJnHHHXewYsUKsrOze2aU05VKbBOh6zpvvfWWaT517NgxZs2axaxZs0ztWFJSkpnAvB+TtUSahlH5vcA+vAfOyUiYjY3XcI00Eua+vHC0h0uZP2maxmuvvcaaNWt4/vnnqaqqYuHChaxYsYIlS5bg9Xrfd9fL+xU33ngjY8eO5Stf+UqXnn/o0CEURWHgwIEt/1CjohwIow1zgvfCoo+yrha5JEpsSSpbju1oO7Ft0FBeb2x2Fi60Q0RH+X0Vtr8G0bMsND6Vj3QiRvRr74FNwd1kwWqxoT1eiKzIKKtr0HOtWJ6tQbvFh/axdPPYSJZ56rjO01kubg6G+cRzlbiXeXmyfxKyENzzbAWW1xrRbvahz0gxD8kcWVJVhbo5SFxXYcb5QMFut7cYaG4kusb/Pnr0KKFQqE8ntjt27KCoqIjMzMzL8n6apmGxWK4mtn0QW7duxeVyMWHCBEKhEC+88AKrVq1i3bp1WK1WFi1aRHFxMddee22fL2YnGltVVVWZo/uMvdYwejQ8Mnw+n9np7Yy+0OiorVu3jnXr1rFjxw4GDhxoUoynTp36oZVwXUXvorGxkQ0bNvDoo4/yxhtvIIRgypQpPPDAAwwfPpysrKwuMwSNmDhRPmbcI22ZC10JGKxAoyilqmqL8ZxdPUYhBNGNlVh+Uc6xG2M0NDUxcLOLxk+lkjQjq88YwTY1NZn06oaGhi41G3VdZ9euXaxatYo1a9Zw5swZswAXCASIxWJs2rSpR4+7TyS2iTB0Is8++ywrV67k7bffZvLkycyePZuJEyditVpxOBzmh3s5jR06C4NyZCSzhp64N7Q6bSFxzl93N9fLCaPCbdxQjY2NF9xQ4XCYzZs3s3btWtatW4cQgiVLlrBixQoWLlzY5+ziPyy47bbbGDx4MA8++GCXnn/48GEkSWLQoEEtfq/saEDZUo82wY0+woXIa5W0xAXUawif0uYcWgD5UBhlbS36MCfxOUkoz9egvFSPcjiCSFZQl6Qi4gLb2lqasgTyoQiiUWX3DwWewc2brfeEFev/BdCnJ6Hd4kd6pwnLv4Lo/e00HI6wbVIqW1eks0fI/MgaY4RhCiEEBFTwW0wacWskzvOrqqpq0dkxquHGZmckuMePH+/zie2rr77KoEGDyMi4PDoiTdOwWq0fGknGBwHxeJxt27aZlOVAIMC8efMoLi7utrHN5YBh1lRaWkptbS2qqiJJkmlamJOT06nkU1VV3nzzTdatW8cLL7zA4cOHmTFjhjmbdODAgX3687iKDxaefPJJ6urq8Pl8vP3226xdu5bq6moWLFjAkiVLuP7667sViyeyGoyZ08Y4mMvNPDRYGYkzoo2YubfcmxN9Bgx5YWICfbmKtAaF2Ii9I5GIeRydkYfG43F27Nhhmgk2NjayePFibrjhBhYtWtRi0ojhgNyT6HOJbSKEEJSWlrJy5Uqee+45XnnlFUaMGMG1117LNddcQ1JSEhaLxezeXWnL8ESqQiAQMAfCJ5o8XanNqC06VOKooCtdIGjL/MmgeBi64bq6OtavX8/atWt56aWXSEtLY9myZdxwww3MnDnzatW6D+D222+nX79+PPTQQ116/pEjRxBCMHjw4JZ/ONexlV9rBFlC/UQaIv3CxEUIwZYtW5g2bVqLwo2u64i4jry1Hi3Pilwex7a2DkmRiS9Mwf6nIHJERxuXhHwyRvzr2VgfPYuQBRX3ODlrrTF13FnWNLwD0knL8GM9GMPyzyDajGSkijhiqJPvjPHyppD5X2uMkd1wO0ycU51YGPP5fDidTmpqaigvL8fr9TJ8+PAWc9/6El555RWGDBlCenr6ZXm/q4nt+xu6rrN7924zyd23bx9Tp041jW36im7U2O+NPdWgJhr04sRRdAZzKj09vU1nZ2M0xqZNm1i/fj0bNmxAVVWuu+46lixZwuLFi9/XesSr+GBB13XefvttU5d76NAhZs6cad6jOTk53bpWDf2qoUM3ksuLUf67irZmRHs8HvN+7epIse4cT319fYt1JTU11WSDdEa60BEkGl9VVVWhaVoLenhH4+pIJMKWLVtYvXo1zz//PLIsm/H5vHnzLmsjrU8ntokwKqKrV69m5cqVbNy4kX79+jF//nwmT55MRkYGQgjzC/H7/ZeFdmvM8jKCT8PR0Rze3AfoFG0hMWgOBoNA7zk/toeOmD+Vl5ezdu1a1q5dy7Zt2xgyZAjLly9nxYoVjB8/vk/QNa7iPD71qU+RlpbGd7/73S49/+jRo2iaxpAhQ9r8u7K1Himgoi71gL3t737z5s1MHTuZpFVNaDkWYnObq4NStYrjj9XNs2dvTMP+aAVSeQztUxlIVSqWvwbQs62QaUP9hB+Ra0Oq0xBFzQtyopGMMU7K5/ORnuonPTfDXLg1AY3Qo3PpVFXlzJkzlJeX09jYiBACq9WKz+cjLy+PlJRmenPrji60rc29nNi+fTvDhg3D7/dflve7mth+cCCE4MSJE6xatYpVq1bxyiuvMGzYMFPzN3r06Mu6B2iaZu73RhCYaNzYVkejLeZUWloaJSUl5OTk8O6777Ju3Tq2bdtGXl6eSTHuqAHeVVzFlYQQgqNHj5qmsK+99hrjxo0zk9yhQ4d2aw8y7rnW85w7m3glwtB8tveafem+i0aj5pqTaDZnFLm7cqxG3mJonRVF6VKD0BibuXr1al588UW8Xi/Lly/nxhtvZMaMGVes2fS+SWxbo6GhgfXr1/Pcc8+xfv163G43CxYsYNq0aeTn5xOPx0lLSzPpqz11oQohzLlVibPmjAutp6tJlwPtOT8a59STNJBLmT9JksSRI0dMJ+O33nqLyZMnm8nsoEGDrnigfhXt47777sPhcPDwww936fnHjh0jHo8zdOjQSz5WOh1DCqroo5wgS81d2ajG0f99nby8PJJPy+BSiH45E1mWkTUJy+oaJJ8VfXwS9sXvQUAl/t1+kGNDOhpBH5cEqQpoAmVDHVqxBzG4bS2JMXPSmH1paL/T09N7xMAlFou1KD4Zc7/T09NxOBxmsJxoYpOWlma6yhrd2yud5G7bto0RI0Z0eLh6d3E1sf1gwphvuHbtWjOQ8vl8pnHS9OnTe4Wyl2gYVVNT063ukaZp7Nq1i3379vG73/2OvXv34nK5WLZsGd/+9rcZNmzY1f3tKt63EEJQUVHB6tWrWbVqFZs2bSI/P9906Z44cWK3Gk7tFpfP3Y8X6woaMp/uzoi+kjDGgxmJruHVk+jS3t76EYvFTEakETMYyWxHu8DGGvz888+zZs0aNm3aRP/+/c2xPBMnTuwTn+P7NrFNRCQSYfPmzTz33HOsWbOGWCzGggUL4PU2ZQABAABJREFUmD59OoMGDSIej+P1es0vsbMt8cSKayAQMGekdmXW3PsBbWkMjHNti0Z1KVzK/EkIwTvvvGNSGI4dO8bcuXNZsWIFy5Yt6zGntKvofRhuyI888kiXnn/8+HGi0SjDhg275GMtv62E6jjRW71oOc2VQSmg0vDjQzTGQtTOt+DJ95M2JMtMNKXTUZRnqhFFdiw/LgNVEP9sFvLJKPoiD/qE5u6uvLEW5aU6tOs86NemXvJYjIKNURwyJBKJ1v+XglE0MzZtQ2N7qWTZMLEx3tswsTF+rFbrRQ2oehsvv/wyI0eOvJrYXkWPIhQKsWnTJlPHFY1GTeruggULumzI2NMjfkKhEFu3bjX1so2NjaY2ccqUKbz55pvk5eUxd+7cTh/rVVxFX0Z9fX0LgziHw8HixYtZunQps2fP7jajMVGXW1dXR3JysrlfulyuFvdx4ozoD8qkldaxus1mazE7NhaLmXrZuro6UyrRmXnCQgjKysrMsTyvvvoqo0ePNpNZQwbVl/CBSGwToWkar776qjlGqLKykrlz5zJz5kxGjhyJqqokJye3cFhuC21dMO93d+GuwKALG5+FQaMyPou2igQdMX+Kx+O8+uqrZjJbV1fH9ddfz4oVKyguLu5xHcFVXB585StfoampiZ/85Cdden5JSQnhcJjhw4e3+Xdd1xFCoOs68nth5EoVdZobyd48HkdRFOQTMTSHoEo+v6lZrVYKqnxk7bfjqlEQ05LRBzpBAfxWpPfC6OPd5x2XYzrSiShigB2snatAGpoVY8M12CNGYJzYVTIqsMZjDWfIxM5sZ2Doc4wku7Gx0RxJYM7MTUhsExPc3rrftm7dypgxY/B6vb3y+q2h6zpWq/Wq5v5DBMMZf9WqVaxevZqTJ08yZ84ciouLWbx4MVlZWZccR5EoKYKuS3OMrtX69etZv349W7ZsIT09ncWLF7Ns2TLmzJnTZ40br+IqegvRaJSXX37ZbEA1NDSwcOFClixZwsKFC7sd88ViMc6ePUtZWZkp15FlGa/XS25ubpdpy+8XGA248vJy08EZwOVykZWVRW5ubofXHSEEx44dM5PZt956i6lTp5ozZgcMGNCn4/MPXGKbCMOE4tlnnzUF7jNmzGDOnDmMGzcOwGzH+/1+U8fb23Tc9ysMgwtj8090bTU+v/bMn2w2G01NTWzatIk1a9awfv16rFYrS5cuZcWKFcybN+8DUUH7sOPBBx8kEAjw85//vEvPP3HiBE1NTYwYMcL8na7r5o+BRIqtoigX7Yjquk51dTXST08TO91EYKyGMsuLPz+z12fnGfeMkbg2NDSQnJyMy+VCVVVqa2tNzUxvzPJLNOEwZuYawbrH40FRlAuS3J7u5m7ZsoWxY8deTWyv4rJACMGBAwdM86k333yTCRMmsGTJEoqLixkyZAiSJFFbW2t2dGpra3G73eZ92FkzRV3X2b9/P88//zzr16/nnXfeYfz48SxdupQlS5YwZsyYPkHRu4qr6AvQdZ0333yT5557jtWrV3Ps2DFmz55t3qOXKkQZaMtNOSkpyXQSNuJVXdf7rIa2uzCMVw1WpNF8Sk1NRQhBTU0N1dXVOBwOMx439v5E6LrOe++9Z47lOXjwIHPmzOGGG25g+fLl7yvm5Ac6sU2EEIIjR46YSe6bb77JmDFj6N+/P8FgkPvvvx+r1WpWN/r169dnjZ/6CsLhMKdOnTJtwaG5UJCRkUFOTg5ut5vq6mrWr1/PmjVr2Lx5M1lZWaZT2vTp0z80ne8PCx566CFKS0t54oknuvT8U6dOUVdXx/Dhw83urAEjmTWSsc4GitLpKFTEqRkQpzJwvgBjaPHbM3/pCRgU44qKCurq6lAUBU3TsNvtZGZmkpGR0euup+2N/zISXYfDYVa5oecMqDZv3syECRNITb00pbsncDWxvQoDQgjKy8tZvXo1zz33HFu2bCE1NRWLxcK0adP48pe/bN77nS2sRqNRtm/fzrp161i/fj2BQIBrr73WTGbfT4HgVVzFlYIx4tMwn9q5cycTJ040zada+6oY+5jBxroUizDRZdhwPTakie9XSnJ7xqsZGRltMkpVVTU/s2AwSCwWw+12s337dgYNGsTOnTtZs2YNZ8+eZeHChdxwww0sXbr0fevE/qFJbBMhhODWW2/lX//6Fz6fj5ycHDIyMhg1ahSTJ082HUb9fj8ZGRm93tV5P6E98ye/348kSQQCAcrLy/nc5z6HpmmcOXOGwYMHc+utt7JixYrL7mJ5FZcX//Vf/8WhQ4d48sknO/U8oyNbWlpKRUUFAwcOJCUlxUxiL9WV7QoSq73dGUDeFhKHzwcCAdPkIlHfk6iNNTan7ro9dhTtzcw1AgRTk9wDBlSbNm1i4sSJly2x1TQNm812NbG9iha45557WLNmDSNGjCApKYnXX38dSZJYtGgRS5YsYc6cORe95w1G1wsvvMD69evZtGkTSUlJFBcXs2TJEubPn99p/e1VXMVVnIeh5zTMp7Zs2UJRURGzZ8/G4XAwaNAg8vLysNlsLWbLdiY+723Tx95Cax+PROPVziSgsViMV199lW3btvHMM89QUlJCamoqixcv5sknn2wxY/b9ig9lYguwe/dusrOzycjIoLq6mjVr1phjhDIzM1m4cCFTpkwhKyuLeDxuJrnGTNUPEy5l/gRw4MAB08l4z549zJo1C5/PR1VVFQMGDOAPf/jDFT6Lq7gcePjhh9m9e/clv2+jG2voZQ1Eo1FKS0sJBALIsmwu3JdjRnUkEjGT3Lau80ttHIaFvrHxQMcT1e64PfYE2puZm+gp0FUDqk2bNjFp0iSzYNjbuJrYXkVbMGiKxjoSi8XYtm0bzz33HGvXrqW6upp58+axZMkSrr/+epM6f+jQIbMr+8YbbzBy5EjT5XXSpElXC7VXcRW9AKPTOnPmTPbt20dWVhYjRoxg1KhRpm9OdxlW7Zk+Xq6Y41IwYhJDSuR2u82YqDPmeOFw2JQBrlu3DovFYjInx48fz/bt2wkEAnz2s5/t5TO6PPjQJrbtobGxkRdeeIGVK1eybt067HY7CxcuZNq0afTv3990RDYurg8iXbkj5k/G2ALD/Km0tJR58+Zxww03sGTJEjIyMsybTgjRZ6tgV9Gz+OEPf8iOHTv4y1/+csHfEo2fjGUnsSOY2JVNHBpeWVlpzqg2GBS9veEkMhMCgYA54qN1dTQcDpsbT+IIga7o9BLR2u3xclaVjW6zseGHQiG8Xq/ZzXU6ne0muG0d18aNG5kyZQrJycm9dsyJuJrYXkVnoes6b7/9tqkv279/P3l5eebIrdmzZ7N06VKWLl1Kfn7+1f3sKq7iMuGVV15h6NChJCUlsXnzZtMgLvz/2bvv8LiqM/Hj33PvNEmjGfXmJsvdgOmYbnovBkJJD9lkk03bTdlsks0m2d1ssinLpvf2SzYJCbbBmG56DBgwYNy7LcmS1fv0uff8/hB3GMmyrTKSRvb7eR49BpWZO+XOPe8573nfSIRrrrkmVXxqrCuNTi0O57qbTCYH1ImZqAUtZ+zt7BkOBoOpsfdIOrD09PQM6DFbXFyc6jF7wQUXHNfXRwlsjyIej/PMM8+kNriHw2GuvPJKLrzwQhYuXEgsFiMQCKTedFM5DcnZgH604k/OnqIHH3yQRx55hEgkwrXXXsvy5cu59tprJ2zgKrLXPffcw1NPPcW99957xFXZke6VdVYzm5ubaWlpIZFIpILMkpKScd8mkL6fxQmynVRiZ6LLOU/Go/WXM7h29seMppXQWKT37R7cM9cJ8o9WgGrt2rWcd955E5biJIGtGAutNfv37+fLX/4yZ555Jh/+8IcnLNtACHFslmWxfv361L7curo6Lr30Um644Qauu+46SktLxzT5pLWmt7c3FeQOtbiTKel7gFtaWlJtiZz7Gu6qtLNV4pFHHuHBBx/k6aefZvbs2am2PGeeeeakr0BPFAlsh8lpJ3D//fezevVqGhsbufTSS1m2bBmnnHIKiUSC3Nzc1EpuNufqO460AT29Omtvby9r165lzZo1PP7446lm8rfccguXXHLJcbliLUbvnnvu4eGHH+a+++475qrsaDgXnJaWFpqbm4lGo+O+TWBwn1in6FMikcCyrAndpjDUrPKRWgmNh2P1zPV4PIcVoFq7di0XXHDBhAW2tm3j8XikLoIQQhzntNZs27aNBx54gNWrV/P666+zdOnSVPGpmpqaMY/FB2dm5eXlpcbKo2lTlN4SsKWlZcA4YiT1NbTWNDQ0pNryvPjiiyxZsoRbbrmFW265JSt7zE4ECWxHwbZtNm3alApyt27dygUXXMCll17K6aefjmEYqY3dpaWlFBYWZs2b60jFn8rKylKpk21tbTzyyCOsWbOGZ555hpkzZ6aC2aVLl8qAURzR+973Pv70pz9x2223sXz5cq644gpycnLGZaYwPWW+ubmZUCiUmuksKysbU5CXvrels7PzsFL5hmGkWvk4E0N9fX2pbQoTsS92qFnlYDCYuuCOdwZJes/ctrY2ent7Uz1zCwoKBuxZvuiiiwakMI93KrUEtkIIcWLRWnPw4EFWr17N6tWree6551iwYAHXX389N954Y0babjk9r53JXcMwBmRQHem6Y1lWKvOqtbV11DVEtNbs2bMnFcy+/vrrnH/++akes9XV1VkTb0wWCWzHyGlk7AS569ev54wzzuDyyy/n7LPPTg1uj1aKe7wNp/hTbW1tqvjT+vXrOe2001i+fDnLly8/YWd9xMiFw2FeeOEFHnnkEVatWkVXVxfXXnstt9xySyrIHc/7dtKFe3p6UqlDZWVlxwwy09OB2traRhUkOrO6LS0tdHV1kZ+fnzrPJqIP9uBCE5na7ztcoVCIAwcOpFowKKXw+/1UVVVRWVl52H7ckRSgGgkJbIUQ4sTm9HB9+OGHWb16NY8//jhFRUWpIPf8888fc4ZV+spra2sriURiQAYVMGAhyefzpSa+R3JNdvpkOzUAdu7cyaWXXprqMTvcvr8nCglsM8jpmbd69WoeeOABnnnmGebNm8eVV17J0qVLKSwsnJAN6c5KkjPIHmp/gHOirFmzhjVr1rBt2zYuuugili9fzs033ywFMsSY2bbNyy+/zH333ceqVavo6OhIBblXXnnluAa5zmSOE2Q6e+HLyspS+2CdVHznouSk1Wbi3HT2xaZf0JwgdyKCzKEqNKfPKmdq/2k8Hk/153WqNpaXl1NSUjJgb/Dgnrler3dEBaiGy9nP7fV6JbAVQggB9E88P/nkk6ngMJFIpFp9ZaJVlzPubmxspLm5mVgsBpDqVT9t2rQRTXBblsWrr76aOt7m5ubjosfsRJDAdpw4xZgeeughHnjgAR5//HFKSkq4+uqrOe+886iqqiIajQ7YJD6W/arO/Tkrs0MVf0omk7z88supSsbNzc1ceeWVLF++nBtvvJGioiI5UcS4sG2bV199NRXktrW1cc0117B8+XKuuuqqcSm65IjH46kgt729PRX0RCKRASnG41Xe37Is2tvbUxWWlVIDMjjGu6BDemG41tbW1OeO87hHmjLtrAw3NzenVqbLy8sHTBoMvv/BPXPz8vJS7YScwjzpe7HT/3+kj1UCWyGEEEeSTCZ58cUXU8WnGhsbufzyy7n++uu57rrrKC4uHva1Z6guIoWFhal2YV1dXcPOoEokEqxbt47Vq1fz0EMPEYlEuP7667nlllu45pprpnSB2okkge0ECYVCPPHEEzzwwAOsWbMGl8vF1VdfzYUXXkhNTQ2RSCSV+nikAeJgwyn+FI1GefbZZ3nwwQd59NFHSSaTXH/99Sxfvpyrr75aThQx4WzbZsOGDakgt6WlhauvvppbbrmFq6++OqNB7uB9qL29veTm5qKUIhwOk5OTkwrKJqLgm23bAyagnB7ZE9lSYHArISdlurS09Ii98SKRSGovs9OCwHneRhoYH6tnrsvlOqwA1XBXcyWwFUIIMVy2bbN58+ZUkLtp0ybOP/98rr/+em644QZmzZp12HXH6dTgBLPpC0mlpaWHXcfTM6ic/bUlJSXU1tZy1lln8corr7BmzRoefvhhPB4PN910E7feeiuXXnqpFGgdBQlsJ0EikeC5555j5cqVrFmzht7eXq688kouuugiFi1aRDQaPWIj5kQikTo5jlT8yelftWbNGtauXUtBQQE33ngjt956KxdffPGE9eMS4lhs2+a1115LBblNTU0DgtzRTLw4Ez7OCuGRKgc7xRyam5tpa2tLnUvl5eUTki6cHnS3tLSkil85F8fxLj4Fh7cScrvdqfv3er2plVlnFrq8vHzM2SXpRtIz11nNPVqQK4GtEEKI0dBaU1tbm9pOuG7dOhYvXswNN9zA1Vdfzf79+1m0aBHt7e1orQ9bSBoOy7I4dOgQr776Kp/73OdSY48LLriAL37xiyxbtkyuXWMkge0kc/Yhrlq1itWrV1NfX88ll1zCJZdcwqmnnkoymUxtSE8mk/T19Q1Z/Km5uZmHH36YNWvW8NxzzzF37txUJeOzzjrrhOlfJaYu27Z5/fXXU0HuoUOHUntKjpWGE4vFUsFRR0fHgABtOCnGg7MflFKjqlg4FuFwOBXkdnd3EwgEBhSfGm/JZJJDhw7R0NBAX18fWms8Hg+lpaVUV1ePa7q4wynANbhnbklJSWqy4WgFqCSwFUIIMVZaazo6Ovj1r3/ND37wAw4dOkRhYSGf/OQnOfvsszn//PNH1GPW6Tby4IMP8swzz1BTU8PNN9/Mqaeeyt69e3nppZd48MEHZayeARLYZhGtNVu3bmXlypXce++97Nq1i/LycgzD4Mc//nGqD2hJSQk7duxg0aJFqR6zr776KmeffXYqmF2wYIHslxVTlm3bvPHGG6kgt6GhYUCQm5ubS29vb6r4U09PT6rVzNFSaod7352dnak0I2dm1ukxNxEXHqcoU0tLSyrAc45hNH3zjsSpBu2kGTspVWVlZXi93lTFR6cAnTNZMBFB7lA9c9MLULnd7iFXc7XWeL1eGSAIIYQYk9bWVn74wx9y1VVX0dLSwoMPPshDDz2EUorrrruO66+/nssvv/ywYphO6yGnQOuLL77Iqaeemuoxu2jRIhmjjxMJbLOQZVnMnTuX+fPnU1paysGDB1m3bh2nnnoqZ511Fn6/n9/97nd0dXVRVlbG+973Pj71qU9RVVUlJ4o47ti2zcaNG7nvvvv44x//SGNjIwUFBXziE5/gsssuo7KykpKSknHZi+LspWlubqalpYVEIpEKMEtKSiZkVXDw/hzTNFPHMJrV5PRCcy0tLalK7eXl5UdMqZrsVkLpaduDe+Y6q7qdnZ2p3n733nsvxcXF43pMQgghTjzJZJJ169axatUq1qxZQ2trK5dffjk33ngjCxYsSNW1eeONN7jgggtSPWaH2q8rMk8C2yxlWVZqgKm1prm5mdWrV/Ptb3+bQCDAZz7zGaZNm8ZTTz3Ftddey4UXXjjJRyzE+Pv1r3/NY489hs/nY8OGDdTW1nLllVdyyy23cO2115Kfnz9u9+0EV06QG41GU6ubE1X4Kb1vXktLC5ZlDSg+daQ2PplchT5aK6GR7DUaCyf1vLGxkW9961usX7+e7u5uampquPvuu/nYxz5GQUHBuB+HEEKIE5cz8f7AAw9w7733snv3bq666ipuvfVWbr75ZsrLyyWYnWAS2AohpiStNZs2beK+++5j5cqVHDhwgCuuuIJbbrmF6667LtVGZrzuOxQKpYJcp/CTsy93uHtvxnoMPT09qSA3HA6nimQ5lRmdNkPjtW/YKf6UqVZCw9Hb28vDDz/MqlWrePLJJ1m4cCFnn302sViM7du3s379etlfK4QQYkJZlkV9fb2szE4yCWyFEFOe1potW7bw17/+lZUrV7J//36uuOIKli9fzvXXXz+uQS70F35yVkN7enooKChIBZETUd0YSAXahw4dIhwOA+ByuSgrK2PatGkTkjI8mlZCwxEOh3nsscdYuXIljz/+ONXV1dx+++3cddddLFy4UAYRQgghhJDAVghxfHGKsDlB7t69ewcEucFgcFzvPxqNpoLcrq4uAoFAKsgdj6JLyWQytWrb1taGz+dLpQT39PTQ2dlJbm5u6hgmol8vHL2V0HBWjKPRKGvXrmXlypU8+uijVFRU8I53vIM777yTU089VYJZIYQQQgwgga0Q4riltWbbtm2pIHfPnj1cfvnlLF++nBtuuCGjFYaHEo/HU0FuR0cHfr9/QH/qsdyuE8y2t7cfse819Ae+bW1tqcDXWcUdboCZCZZlpfYGt7a2YlnWgN7Czv7keDzOM888w4oVK3j44YcpKChIBbNnnnmmVDoWQgghxBFJYCuEOCFordm+fXsqyN21a9eAIHe8U3UTiQRtbW00NzfT3t5OTk7OiFZRY7FYKkju7OwkPz8/9ffD7XNr2/aAfr22badWUSeqynN6hePW1laam5v57//+b4LBIJs2bSIvL4/bbruNu+66i3PPPVeCWSGEEEIMiwS2QogTjtaaHTt2pILcnTt3ctlll6WC3IKCgnENcp3Kws3NzbS1teF2uykrK6O8vHxAgO2kNTc3N9Pd3U0wGEwFs4P75o2U08rIWfl1Cj85q7njWQDLsixeeOEFVq5cyXPPPYff76e9vZ3Gxka++93v8o//+I/jdt9CCCGEOD5JYCuEOKFprdm5c2cqyN2xYweXXnppKsgtLCwc1yDXsqzUKmpLSwtKKXJyckgmk0QiEQoLC1PB7Hj06nX09fWlgtze3t6MBtHQv1r8yiuvsHLlSh544AGi0Si33nord955J5dccgkul4uenh6SySRFRUUZeERCCCGEOJFIYCuEEG/RWrNr165UkLtt2zYuueQSbrnlFm688cZxCXKHah3k9XpJJBIDWvSMtN/sWESj0VSQ29nZedQ9vEdj2zZvvPEGK1as4IEHHqCnp4ebbrqJO+64gyuvvHJC2iIJIYQQ4sQgga0QQgxBa83u3btZsWIFK1asYMuWLSxbtiwV5BYVFY06yHX2mTppxtFolJKSEsrKylLFlLTWdHV1pVZyE4kEpaWlqd+ZqF6tzt7g1tbWAWnTpaWlFBQUHBZs27bN1q1bWbFiBatWraK1tZUbbriBO+64g2uuuWbC2h8JIYQQ4sQiga0QQhyD1po9e/Zw3333sXLlSjZv3szFF1+cCnKLi4uPGeQ6e1qdYDaRSFBSUkJ5efkxA1UnEHZWdYcKhCeCkzbtrOYCFBcXs2XLFubPn8+jjz7KqlWrqK+v59prr+WOO+7g+uuvH3ZxKyGEEEKI0ZLAVgghRkBrzd69e1NB7ptvvpkKcm+66aYBQa5t2wNWXS3LorS0lPLycoqKika16jpU6rJT9KmsrGzC0ntt22b79u08/fTT3HPPPbS1tVFWVsaHPvQhPv/5z5Ofnz8hxyGEEEIIARLYCiHEqGmt2bdvXyrI3bhxIxdccAGnnHIKubm5LFu2DKVUKpgdj76x4XA4FTj39PRQUFCQCnIznfartaauro5Vq1axcuVKtmzZwuWXX87tt9/OggULeOaZZzj//PO57LLLMnq/QgghhBDHIoGtEEJkgNaaLVu2sHTpUrTWLFq0iMWLF3POOedw0003UVpaOq7VleHt9kAtLS10dXURCARSQW5ubu6oblNrTWNjI6tWrWLVqlW8/vrrLFu2jDvuuIPbbrttTHuNhRBCCCEyRQJbIYTIoC1btrBo0SLq6upSK7mvv/46F1xwQSpduaysbNyDwXg8ngpyOzo68Pv9AyobH43WmpaWFh544AFWrVrF+vXrOf/881PBbHl5uQSzQgghhMgqEtgKIcQ40lpTW1ubCnJfe+01zjvvPG655RZuvvnmCQkSE4lEquBTe3s7OTk5qSA3Pz8fpRRaazo6Oli9ejUrV65k3bp1nH322dx+++3cfvvtTJs2TYJZIYQQQmQtCWyFEGKCOHtUV6xYwcqVK3n11Vc577zzWL58OTfffDMVFRXjHjwmk0na29tpbm6mra2NRx55hAMHDtDe3s7rr7/Oaaedxu23384dd9zBrFmzJJgVQgghxJQgga0QQkwCrTX19fWpIPfll19OBbnLly8f1yC3t7eXhx9+mNWrV7N3717i8TgHDx6ksLCQffv24fV6x+V+hRBCCCHGiwS2QggxybTWHDx4MBXkrl+/nnPPPTcV5FZWVo45yA2Hwzz22GOsXLmSxx9/nOrqam6//XbuuusuFi5cSDKZZPPmzZxxxhkZelRCCCGEEBNHAlshhMgiTpC7cuVKVq5cyUsvvcTSpUtTQW5VVdWwg9xoNMratWtZuXIljz76KJWVlbzjHe/gzjvvZMmSJZJmLIQQQojjhgS2QgiRpbTWNDQ0pILcF198kXPOOScV5A5V0Ckej/PMM8+wYsUKHn74YQoKClLB7JlnnpnxPrpCCCGEENlAAlshhJgCnH6y6UHuWWedxfLly7nxxhvZt28fK1asYM2aNeTk5HDbbbdx5513cu6550owK4QQQojjngS2QggxxWitOXToEKtWrWLFihU8//zzBAIB3vnOd3LnnXdy0UUXYZrmZB+mEEIIIcSEkcBWCCGmMK01GzZsYN68eRQUFEz24QghhBBCTAoJbIUQQgghhBBCTGmy8UoIIYQQQgghxJQmga0QQgghhBBCiClNAlshhBBCCCGEEFOaBLZCCCGEEEIIIaY0CWyFEEIIIYQQQkxpEtgKIYQQQgghhJjSJLAVQgghhBBCCDGlSWArhBBCCCGEEGJKk8BWCCGEEEIIIcSUJoGtEEIIIYQQQogpTQJbIYQQQgghhBBTmgS2QgghhBBCCCGmNAlshRBCCCGEEEJMaRLYCiGEEEIIIYSY0iSwFUIIIYQQQggxpUlgK4QQQgghhBBiSpPAVgghhBBCCCHElCaBrRBCCCGEEEKIKU0CWyGEEEIIIYQQU5oEtkIIIYQQQgghpjQJbIUQQgghhBBCTGkS2AohhBBCCCGEmNIksBVCCCGEEEIIMaVJYCuEEEIIIYQQYkqTwFYIIYQQQgghxJQmga0QQgghhBBCiClNAlshhBBCCCGEEFOaBLZCCCGEEEIIIaY0CWyFEEIIIYQQQkxpEtgKIYQQQgghhJjSJLAVQgghhBBCCDGlSWArhBBCCCGEEGJKk8BWCCGEEEIIIcSUJoGtEEIIIYQQQogpTQJbIYQQQgghhBBTmgS2QgghhBBCCCGmNAlshRBCCCGEEEJMaRLYCiGEEEIIIYSY0iSwFUIIIYQQQggxpUlgK4QQQgghhBBiSpPAVgghhBBCCCHElCaBrRBCCCGEEEKIKU0CWyGEEEIIIYQQU5oEtkIIIYQQQgghpjQJbIUQQgghhBBCTGkS2AohhBBCCCGEmNIksBVCCCGEEEIIMaVJYCuEEEIIIYQQYkqTwFYIIYQQQgghxJQmga0QQgghhBBCiClNAlshhBBCCCGEEFOaBLZCCCGEEEIIIaY0CWyFEEIIIYQQQkxpEtgKIYQQQgghhJjSJLAVQgghhBBCCDGlSWArhBBCCCGEEGJKk8BWCCGEEEIIIcSUJoGtEEIIIYQQQogpTQJbIYQQQgghhBBTmgS2QgghhBBCCCGmNAlshRBCCCGEEEJMaRLYCiGEEEIIIYSY0iSwFUIIIYQQQggxpUlgK4QQQgghhBBiSpPAVgghhBBCCCHElCaBrRBCCCGEEEKIKU0CWyGEEEIIIYQQU5oEtkIIIYQQQgghpjQJbIUQQgghhBBCTGkS2AohhBBCCCGEmNIksBVCCCGEEEIIMaVJYCuEEEIIIYQQYkqTwFYIIYQQQgghxJQmga0QQgghhBBCiClNAlshhBBCCCGEEFOaBLZCCCGEEEIIIaY0CWyFEEIIIYQQQkxpEtgKIYQQQgghhJjSJLAVQgghhBBCCDGlSWArhBBCCCGEEGJKk8BWCCGEEEIIIcSUJoGtEEIIIYQQQogpTQJbIYQQQgghhBBTmgS2QgghhBBCCCGmNAlshRBCCHHC01pj2zZa68k+FCGEEKPgmuwDEEKIqUBrjWVZABiGgVIKpdQkH5UQYqS01qnz2bZtLMtKfbndbkzTxDCMAee5nO9CCJH9JLAVQog0zqA3fcBr2zbJZBKtNaZp4na7UUqlBr6DB8BCiOzgnMvp53MsFqOpqYnKysrU76Sfv07Q60xkAanzXIJdIYTIXhLYCiFOWOmDXmfgm0wmB6Qjpg96DcPANM0Bg1/n58CA35NgV4iJdaRVWNu2B/xePB5n9+7dTJ8+HWDA+emct+m3mX7bQwW7MrklhBDZQQJbIcQJIX0V1lmB7erqwrIs8vPzU7+XPlAFDhukDpWGnD74dQbAQw2WBwe8QoiRGyqrwvlyfgYDJ5rSz7lkMpm6rWOdh+mTVun37/w7eHILGHCey/kuhBATRwJbIcRx5VipxOmD3paWFizLorCwcNgDz6EKyxxr8Ju+Atzb20s0GqWiouKwYHfwbQhxohsqq6K9vR2v14vb7U79jhM8mqYJHP08Gus5NpzzfTiTW5k4FiGEEG+TwFYIMWUdK5V4cJrw4NUTwzAOG4BmypEGv11dXXR0dFBWVjYgyHaOZ3B64+DbEOJ4lZ5K7ExGOSui6enEu3fvZsaMGZSXlwPZcX6MZHLL+R3nM8rr9cr5LoQQGSCBrRBiShgqldgZ9Pb29rJ//35OPvnkAasicOyVm4ls7TE4qIaBK8CDW40MtWdXBr9iqhtJVoXz5XK5DpsAGus5MDiFONOOFuwCNDY20tDQwFlnnZX6PSlSJYQQoyeBrRAiq6QPeo9UBGZwFVOlFKFQKJWaOJWkD1iPtNozeE+gDH7FVDE4qyIejw/IqHB+50j7YY92u6M1mefJ4PPdSZ8evG/XOeflfBdCiOGTwFYIMWmGGvSGQiF8Pt+wUokdo115negV25EYTtEaGfyKbHK0rApnUuqll17i1FNPJT8/f9TZB5k6b7Pp3B/O+S4VmYUQ4ugksBVCTIjBg14nMEsf9HZ3d7Nz507OO++8EQ16szlAzaSRDn6j0SimaZKbmyvBrsiY0WRVOKnEg7cKTIZsef8f6zNrOOf74N8/0gSXEEKcCCSwFUJk3OCCTsMd9DqpxCMd9I524HY8BMRHG/zu27cPt9vNvHnzBvy+rPSI4RprgbbBMnHOHQ/n7WgdK9iVdmNCiBOZBLZCiIzo6+vjX/7lX/j3f/93enp6UEoRDAYnZNA7lr87Hg3ex2cYhqz0iGFpaGggLy8Pn883IKuivr4e0zQPa1MFIzuPsimwzYbgOBPn2LGC3aEqMksFdiHE8WjycoGEEMeVeDzOT37yE0KhEO3t7XR1deFyuVJfpmkO6N84lLEMWCf678ZioisxO/+mByTpAawz+E0kEsTjcWKxGNFolFgsRjweH7BCJ45vN9xwA2vWrCEcDhOPx1MrsrFYjFgshtvtxuVyjWnlLxOB7WT+/VQw+HxP//xVSqX2QMfjcbq7u9mzZ8+A893JsJFzXggxlciKrRAiI5w0YsuyUiuEE1UUZiqt2E7kfY51D58zsD1WWuPg2xBTl8vlIplMHlZhPFOrpMfTautUMziTwxGJRDhw4ADTp0+XCuxCiClNAlshREY4A+FEIjGlAtTh3p9t24RCIaLRKH6/f0BV1+OJpDWe2NxuN4lE4rDvZ1Ngm6n3lQTHb0s/b2F4FZkl2BVCZBsJbIUQGTE4sHUKRY1EtgTEThDb29tLb28vPT09hEIhlFLk5uYSiUSwbZv8/HyCwWDqKy8vL+sGd+O9hw9IBbstLS2Ew2Fmz5592OBXgt2p4UiBrWEYA1bzRisbVmyP9h4cTabJaGVLYD3UYz7WBJe0HxJCZCMJbIUQGeFUN04mkxiGMeTgeDi3MZYAdaSDUicAdwLYwUFsfn4++fn5zJgxg0AgQE5OTmp/YSgUoqenh66uLurq6ujt7cUwDAKBwIBg1+fzTdrgbjwHzkOlNUajUXp7e1Ovo6Q1Tj0ul2tKrNhmS1B4PBju5+Zwgt2hti4MFfAKIcR4kMBWCJExzmqP1+sd08rraFdNjvV3g1di29raiMVidHV1DRnEHum2lFL4/X78fj9VVVWp2+7r66Orq4uenh727t1Lb28vHo9nQKCbiVWvkZjoPb1DBauDB7/OcyDBbvZxu91DvkdHm4Ux1O1IKvLbsuV9PtrjGM7WheG0HxrLMQgBb19fbNuWTKETmAS2k2Co3n9CHA+c1R6fzzehe2XTV2wdR0sndoLYoqIiIpEIp59++pjPQ2e1NhAIpL6XTCbp7e2lu7ubrq4uGhsbCYfDGIbBxo0bU8FuIBDA5Zr6H8dHmlgYbVqjBLsTbyL22GbCeKUin4gyHeCPZp++bF0QI5EexDqTpU7GgNYat9uNaZqHpchL1sDxb+qPpLJcesN0p7y+0xfQ4/EMOPHkhBNTmVIqNSie6JRi574OHTqUShE+Wjqxc9sNDQ3EYrFxO+dcLheFhYUUFhamvrd//36amprIz8+ns7OTAwcOEIvF8Pv9A1Z2M1GcaqJXpEbyuskevuw0VYpHTfY+3ePJROwrPtY+/fStC7Zt09DQwPTp03G73anz3TTNcT1GkZ0GB7Hp/bUHLxI575H0qu5HKngofduPTxLYZtBQQWx6LzjnxBrcS05OOHG8cAbFTrufkRpq5XWwoVZi+/r6AGhubiYQCAwrnTj9/iaSaZp4PB7mzJkD9D/WWCxGd3c33d3dNDc3s2vXrowVp5qMVOTRGk6wO/j3j7S6K0bnSKnIoz2nB8uG/bHZ8v6Y7OfBMZEFs9INtU8f+lvG7dixg6qqqtR70emFLo5v6enr6V+Dx8rpQezRtgyl/3u0FHnJEjp+SGA7BrZtHzaD5Jx8oVCIN954g4suumjACoMjPdUG5IQTxwcnFXm0+/EGX4CGk048Y8YMcnNz2bBhA0uWLDms/+axTPbgUimFz+fD5/NRXl6eOqZwOJwKduvr69m6deuIi1NNxoptph0r2NVa88ILL7B48WKCwSAwcHJQBsMjcyKt2Ga1rl5o74I5M97+Xm0j5g//D/vqi9BXnAuWBRnYwjBZge2xmKaJaZoZ2dstss+xgtitW7dSVFTEtGnTMpLRONYtMZIePzVIYDtM6W/69K/0kyL9JHAG18MdVA33hEsvzjJUtUEhJpOz2jOagadTfAlg165dhEKhYaUTA6mL0Ujvc7IGyMe6T6UUeXl55OXlHVacygl29+7dS19fH263e0CgGwwG8Xg8E/EwDjNRA+TBn5dOOrnzejqDpcl6HqayEymwzYbg+Ejni+uL/wutHVj/9Y/oBbP7f3dvPWp/A8ZrW2HLLtQrW0h+89NQXTWRhzzunEBWxjTHD+dzefCeWOe1Hjy2TR/jjufk5HDG3slkku3btzNnzhx8Pt+QWZUie0hgO4Sh0onTN6XDwJkc5/+Hup2j3cexHOuEc1J0nBWtadOmyX5dMWlGssf2aCux0D8hNNx0Yue+p4rRHmt6caoZM/pXcSzLoqenJxXsOsWpcnJyCAaDhEKh1GTDkYpTGX98CLVlD3phNfbNl0NB/qgfG0zOa6G1PuwzT1Z5RudogW2mntPJDiinwueFnjcTFY6ig/mozbvQMyqhMIB9xfnYd16Dec//A9tCRSKM9dnMthXbwduzxNQyOIhNz2h0fj44iB3qtZ6sieehxt6NjY1UV1cPGHvL9sHsdMIHtkOlQhxrU/pw3rBHSw10BvRut5uCgoJhDdwH3256ymZvby8HDx6ksrLysGOW/WdiIg21YjvcdOJAIIDP5+PZZ5+luroar9c77PsdnMI8kr+b7EH2WJimeVhxqng8ngp2Ozs7aWxspL6+fujiVEph/N8a1L6DkJcDGuwPLB/18UzWANm2bflcyxCnF/VgmTpXMrFX93hasT0S6zMfAEC9tBHz279Bz5+Fqm+GZBL7mgux/u2j0NENlaVjvq9sDGzTxyrZ/Dqd6NJryww1hnYcK4idCtLTkWX7YPY6oQLbTG5KH+79RSKR1GC+p6eH3t5etNbk5+englInlbCgoCA16BzuPsHBJ5Jzv86/zmNO/33ZMyDGi8vlorW1le7ubkKhEK+++uqw04nTjXYgIwMg8Hg8lJSUUFJSQk9PDwUFBVRWVh5WnMqyLIK+HE6LRvD4c9BXnIu57Kwx3fdkDZCzbWA+lXk8HsLh8GHfz+QkUCYC27GaKu8XPa0cXCbYNvb1F6OeWo9qaUfPnpaRoBay73NzqImqqfJ6Hc+GKpDqBLHp6eODV2NHK5snnmW/bvY6bgPb0eTzj/UNFo/HU0FsZ2cnAOvXr8fv95Ofn09FRQXz588nNzcXwzDweDwDUgm7urqor68nGo2mVlecYNfv9w+79cdw9ww4v5N+wk31GTUxee6++262bNnC97//fX7yk58AjCid2DGai9mJumI7HJ7aQ+S+sAXfFedR0RFBn3U67K2H//wp3WctArebUCCXVy5YiL1nO8HWxmEXpxrMSQmeaEPd7/H+uo6XI6UiZ1tV5OPh9R3WY5hZia6Zjtq8G11SiGpqw/zlCpJLl2T0OLLpmj9ZnyPibYOD2PR04h07djBr1iy8Xm9qzOhyubLqPTQZZOydHY6LwHZwEBuJRIhEIuTk5KR+nukg1rKsASuxPT09RKNRcnNzyc/Pp7CwkK6uLi6++OKjbnwfKpUwFovR1dVFd3c3hw4dYseOHQAEAgEKCgpSwa7P5xv28Q53v67sGRCj9fGPf5w33niDj33sY9TU1LB//34qKipGfDujHfiOJSA+XgVf2cq07/wBV1df/8pPrg/78qWoV7egwlGKplVg3XsPPuDSgvwxF6earEJc2TYwn8rGOxU5E7dzogXH9vXLMCIxjOdeBX8e1ruux3jsb9inL4by4ozcRzadP7K1YGKlZ/cN1eXDOU+c8WB7ezuzZs0acQeCkToeJp5HO/Y+HlK3J8uUC2yPlQqhlKK1tZWGhgbOOOOMjLwpnD2C6UFsKBTC4/GkirlUVVWRn5+fOtFjsRj79+8f1ayj1+ulvLx8QOuPvr6+VLC7e/du+vr68Pl8BINBlFIkEgksyxpR9bih9us6/8qeATFSZ511Fvn5+an3zWgvSBMZ2MLUGdwO0N6F2nUAvXA2BPNBqf6vNOrNnZT99UmMWALt9UB7J/S4IRSBoiDWLVdi33VtqliUASMuTuV8BQIBXC7XpASY6YMuMXYej2dci0dlKrDNxHFkvWh/MGsvmoN9xzWY9/wOe8l8VCiM8Yv7UJctxfr0+8d8N9k2MSQrtuNrcGGnYxVIHSotfKKum1Py+nwMoxl7Dw50s+l8zTZZHdgeLRViqHx+JxXCNM1RfzA6+2LTg9i+vj4MwyA/P59AIEBNTQ2BQGBExW3GYvD+RIBkMplKX25ubqavr48nn3yS/Pz8ASnMeXl5I0oBTf8XZM+AGBknjXEsaYtjCWwn4m+ygevffoh6ZRMkkv3piXvqsG++DOtfPgTTyiCewPy3H5C/bR+J6ZXor30cVd+E2rq7/3eUgrKiw4LhwYbKKEkkEqlAt7OzkwMHDhCLxfD7/di2TW5uLt3d3f3FqSZgcCqtQTJrKqzYwvEz4D3a+9Z48BnMH/8ZMxpDz6hAV5ZhPv4CltuNvuhM7EvOycgxZGNgm3482XRsU83gwk7HalUJx36+JyqwPVFe9+GMvQf/voy9jyyrAtsjlQcfKhXiaPn8IznpYrHYgCC2t7cX27bx+/0EAgGmT58+4j2C6cbrguFyuSguLqa4uBifz8fBgwdZsmQJXV1dqb26W7duxTCMVJDr/DuS3o7D3TPQ2tqKUoqysjLZM3ACS6+KPNrVnRNhxfaY91l3CGPjDuxrLgRPWrpXIgFuNzroB1ujvB5USzuqJ4Sx8gmwbawffRncLuzrl9Ge48K+/FxKrr0QnaEg0+12p4pTOaLRaCqbxCkaZlkWgUBgwMruSCbahutIK7by2TM6brebeDx+2PezKbDN1Opx+nE4Y4F4PD4gC2Ey6dMXoU+eB129YFvosiLYdxDzp/diffmj6NMXZeZ+smySQIpHjc7gbMbRtqo8lqmwYpttkzUjJft1R2/SPrXHmgpxNEf63UQicViF4lgsRl5eHoFAgLKyMubOnUteXt6YVxom+g2llCInJ4ecnBwqKyuB/ue4t7d3wH7dcDhMbm7ugGB3pCsrQ51wHR0dGIZBaWmp7Nc9gblcrmH1sT2asfztVNhjO5z7dH3nN6jXt6GeexV97qnYt1+N8edHMH93P9aNl2L+9n50SSGJn38Vo7YRva8BY3ct+qoLnDvB/sgd7D9rDqWlpTDOK6c+nw+fz0dzczN5eXnU1NQQDodTK7vORJtS6rD9uiMpTjWU9OuFGDtncmqwTBaPmuzbcFZADh06lJqUccYCOTk5HDhwgHg8Tn5+fqquxUhb8w3HsZ5PPW8WyR9/GWy7v5ftzCpULIax8knUpp0ZOw7IrvNHUpGPLT2IjcfjqXN2cM0BJ4vR+e9M3v94y6b3ZDYYzX7dobYRHu8mJLA92iyS8/NMzCI5nNnc7u7uAUFsOBzG5/OlijDNmDGD/Pz8SZ+VHS+GYaQGj454PJ5KYW5tbWXPnj0DVlacgHc0F/D0lAjZr3timuxU5CldFbm1A/Pn92FfeR72DctQ0RjGA0+hfnM/iaAfOrvRlo3x2/vBstBzZ2KuehLj8XVYn/kA1uc/ONmPYEChvry8PPLy8qiqqgL6J9rGWpxqKJKKnFlH22ObLSu2MPyBtdaacDicGgs4rci01vT09FBUVERVVVVqhdbJBotGo6kMqNraWjZv3jygNZ9zrZyI8YN6ZTOuL30P+5R56FMXQtAPpUWYX/oelBZi/dP7oKGlf7+8P3fEt59tq1vZdjzZIJlM8sgjj7Bs2TJM0xzQqrKpqYm2tjaWLFkyLkHsYFNhxfZEcaT9ukDq/ZH+O0cafx9PMv6JPHhP7OBmzeMxi6S1ThV36u3tpaOjg0gkwqZNmwgEAuTn51NeXk4gEBjRgGkshnqTZQOPx0NpaWn/Kg5vX/SdVd39+/eneusOTmEeyQVc9uuemNJTkccS2I4mzXC075VsOUeNp17G/NUKjN/dT+LJ38DPv4a687OweTcqFMH+yB3Yl5/bP8AtKSD5y3/H9Q//AaFof3GoIUz0YzvagNQwjDEXpzrSfcLhnzXZ8rpONU7WxWCZSv/NVCrykW4jHo+n3lPp24ucGhnV1dUEAgFefvll5s+fj9/vH/L2B2dAOe9VJ9itq6sjHo/j9/sHrOrm5uZmJMNswO/s2A9761GVpViXn4vq6sVeOBvzJ/dCcRB2H8D1jV+iq8qw/vOTMIIikpB9gaRt2wNWbOVc7s84vPnmm9m+fTvl5eWpcZKzNQ8YUfHQschU9saxZNN7cqpIf84GxyHp1a+da+6sWbOOu4WmjAa2DzzwAH/961/58Y9/PGCwkekgNhqNpi5Yzr9AqsBSeXk5jY2NXHDBBVP6xZkI6Ssr06ZNAwZewJ00Qqe3bnqw6/f7B5w4x3quh5tG4fzOiZpGMZU5K7ZTZY/taN5P43VBt6+5EP2jP0IiiTrYhK6uIvnn70DtIaiZ3l/oacFskr/4d7BtKC3C+qf3oTbtRF970bgc00iN9LkZaXGq9GDX2UKRvkosxu5IqcjZtmIL/dcqJwtgcNu9Y20vGun7Zaj3qrOq29nZSX19PVu2bMHlcg0IdIc9KVzfhPnnh7Fvvgy9YPaAH+nTFqKXLumvYj6rCusz78f8zLf699TfcAlqZy3a44akhevvvoL17hvQV5437MeWbYFjtgXa2cBZlLEs67D3U6YmnUZCVmynjqHG3qFQiJaWFmbOnDkgi3aoVd2RbgedbBkNbEOhEHv27MloEOLMvqbvjU0mk6niThUVFcyfP39AUZKuri6ampqy4oXIxEnZ3QGBwmMWMM2YI13AnRTm9N66ziAzHA4POfN9LEcLdp00ivSfy37d7JYe2I5lxXa0pkrxqCEV5JNY/SNUbePbRWFcLpgzY+DvFRek/lNfeAb6wjOOerMTfX6M9f6OVpyqu7ub5uZmdu3aldpCkZvbn3rZ19c3LsWpTjTZmoqcnlLc3t5OJBKhqakJl8uVWtVPTyke7m2Ohc/no6KiItWv27btAau6zqTw4L26Q63qGg89i/GXxyCWwPq3j0JbZ3/KcTgK7V0kf/9N8L3diUGfsRgVjmJs3IHatgfrH+4CpTD/sAbV1cNIHlm2BZLSx/ZwzsrseJ6bIzkWWbGd+tKzI+H42a+b0cDW4/EQj8dHvek/mUzS29s7IIh1Zl/z8/MpKiqiuroav99/1JSLbNg3l6kXfOsGxeP3GSw83aZhv8EZF9qcedHEPzanOMxQvXWdld329naam5sHrOoGAoERp8ccac+A7NfNfplKRc7mFdtxVVyATgtcxyqbUpHHYqjPH6c4VWtrK1prXnzxRZRSqSCnuLg4lUYqhs/j8Yxr8SgY3vvSmdRO/3JSig3DIC8vj8WLF4+6+Nh4vE+dLgQFBQWp76Xv1XWKqJmmSUFBQWoAmUwmcd10GSoWx7rsHNTjL2B+/w/ok+dCaRHGQ89hfeBm9KkL0Uvmg8uF/Z4bsd9zI+rZVzEsC71gNsabO7EXzsa+/uIRH3s2fRZK8aihOWPswSYqNdgxFfbYZtP7ORsNda0eyX5dyN6FpowGts5qzXDYtp3aF+t8hUIhPB5Pah9WVVUV+fn5uN3uY99gmmwIbB1jPQ63t7+gaSyi6O2Cxlo1KYHtYEod3lvX6/VSXFxMV1cXHR0d7N+/n0QikZqtdoLd0e5BOtZ+Xeekc4qEeb3eKZlGMZUNLh41mkBnIgNbyKIV23Eyke/9iVr5Sd9C4ff7aWtr49JLLx1QnKq3tzdVuEoM33ivCg2VNumkFKfvjU1PKS4pKaGmpga/349hGBw4cIBQKEROTs6Yj2e8HW1Vt6GhgVAoxJNPPtm/1eeKM5j/7z/Fd6AJcjyQm4O9dAlqVy1qTz3mvY9iffBW7Duv7b/x+ibM392Pff5pMKsK9c1foiJR7ENth2d6HEW2rdgOPp5sGTBPJqXUEcfYE52KnM0rtslkkp6eHizLorCwMOOVzI8XI9k+mP7fU2GhKeOB7VCzSVprIpHIgCC2r68PwzBSBR1qamoIBAJ4vd4hbnlksiGwHckLmUhA/R7FjLmawTH8/FM0s//DwuWCxgNQXJHZ48wkwzBSvXXh7dfdSWGuq6tL7UFKL0o10iqocPRg980336SmpoaysrIpmUYxlaW3+4HRDZjGEtiO5m8m+7PieDIZA2QnbTG9ONX06dPldR2low2eRztZNVgikeDQoUMDxgMulyv1+lVWVhIIBI44qZ2p83Yy3iPpq7paa7q6uli0aFFqVbfT7yPPSrDl7ptxnTyPgsICCr75SYpe3YZndy169nRo7YCSQlRXD8TiqPpmAOzPfgBaO/v35I9AtgW2g4tHiX5HWrE9XlOR4ejnaHrmTnrFc5/Ph8fjYcuWLbjdbgoLCwfseR/Ne+t4u56M9pwf6ULTUPt1B/99pmU0sPV6vSQSCfr6+gYEsk5VQmdf7PTp0wkEAuM2kzIVBqtaQ1M95OTBn35ksG+HwWU32+zarNAW/P2/WuS+tWXVubaXTQPXyBavJ8yR0hpyc3PJzc0dsrduV1dXqgqq01vX+eAZaW9d5/6cYzFNc8DfD1X2fPDGeAl2x87j8RCJRIZMZRmuEzoVOcOOl1TkY92nDIIz52iBLYz8NR6cUtzV1YVt20Sj0VSF7JH2Mx7te6xVK1q1YrGRXXs4nVXdyt0N8OkPYi2ew6JQiNDLG+mMxNna0EBERfB/6lZmv/AKlf/0JEZ5CfpzHyT5zc9AaSFojQ74Ye7MERfkyLbxUrYF2tniSItHhmGcECu2iURiQFZH+vaEYDA4YIHM7XYPyI7o7OxMZRE6CytOwJuJBbWpJpPn2LGC3YkuDJuxwPbRRx/lG9/4Bu3t7Xzyk5/kox/96DGrEo6XbApsj3Qcm18xWPUrF/6gpn6PQilwuzUvPWESjcDlt9hMr9HU7VGcdJamfg/83/dNZi3QlJSDLwcuvdke6fVr0qX31p01axYwsLeuUxjGtu1Uv2En2B3uwMcZ6B4rjSK93ZDzO9JyaGxcLldqjy2MPrAd7UV6qqQiT/Ts+kSZjOdSCs1klrPHdqj9VHD019iZuEwPZCORCDk5OamUYp/Ph2VZnHTSSWM6ztG81z6V9NKF4rvExnTfmZR6jg804vrS90CBfuo3FOxrpORrv2DmrEqSf/4usVisf1LgzX1Ynd0k2jo59Jt7afuH2ylIhil/cTPBVU+h5szE+uwHoKpsdMeRBdLPaSdLQBw7m2KiTMT9aa2Jx+PEYjG2b99Od3d3aptZMBg8bHvCUNILoc6ePTu1wusEurt376avr2/AwkphYeGAjh/Hq/GePDpasDvehWEzFth6PB5OO+00amtrueeeewZU1J1o2RDYHukFeX2dSXsTVM2OgnJRUGzQ0qComqXp6lAUldn4A4r5SzR//rHJrs2Ks5fZrP6dwb7t/enKFdOhpEJz0XXgnpi2vMc0lpNkqN66oVAoFezu27eP3t5ePB7PYSnMQ1W/PNqxDCeNIr0aXHqwKynMx5a+xxZkxXay7/NEWbGVczJzhrNi6/w7eItRb2/vgJTiioqKw1KKnf2xYzHaz4glyuZNbVCmNJ1k2UplRTH2WSdDeVF/NfQd+1AHGtB5PqA/I67ccON65g2oLMO66zqKLj0b5THo6uqitrWZOTv2Yuytpb3Yj/XeGw9ry3ck2XYOSRbG4ZRSR6xYPtnFo/q64Xf/4+GMCyzOv9o6yl++RWugC9TbcYLT5i19Rda27dS4b86cOaPatjb4uAe3t0wkEqkMwqamJnbu3IlSakCgGwwGR32f2WoyPvsGj79Hsl93JEVoMxbYXn755RQUFPCHP/xhQEXAyZANga3DecF6e3vp7u7md/9bRjhkccU7t4G3jBefLiMR87B7Sy77d2pKq0xKKzRtTbB1A0RC0NsN+3cpLMsJZDXVC3XWBLWQ+bQGv9+P3+8f0FvXKQrj7Nd12iikB7t+v3/ExzLcNIrxmFk63jgX3slKRR6NbPmsGC6twQbMLH3LSSry1HakPrbO95zA1Gm959TJGO4Wo0y8P0Z7G190vZ3GuWuC3qcNNvgUFB/r7nxerP/9l7f//7SF2Oecgn371alvGc++inpjG+T44NxTCcybTQCYNWsWqs+GZzcRKwoQueh02hob2bFjB0qp1DXS+Rq8dznbzqFsC7SzxZFSkceS5TQag6/RG553sXaFm9f/5uL8q8PH/HtX8ie4kz+lpe+T1LdeRE9PD+FwmJycHILBIKWlpcydO5empiZs22bOnDnj9ljcbveAhZXB2+UOHjxINBoFYM+ePZSWllJYWDjqauzZIhvO+eEuNLlcrskJbOHtPbbZYDIHq07KEMCmTZtShTGCwSDXvdtHb3uQnesvYMcGF4ZpYZgJ8oJhpi8+QN3OQrq6PHzzn3Lo6fAxe4HJS2sNZs3VlE/XzJyr2fSywbyTJ7YZ92QzTZOioiKKiopS33PaKHR3d9PQ0MD27duB/tf+4MGDJJNJgsHgqPZPjGZmyTTNEbc2Ot6YpjkgFXk0F9vjfcV2NBps+F3S5ELDZpOleNVWfMFjsdiEvTZ8J2ZyiqE519QUotmCYsZbD23wY3zBUkQ1XGbqjG9lkBXbqc/lcmFZFo2NjWitU6snkUgEgEgkkmq9N9paCNlS+Gm8xwmtGr4Sc+FRmh95rRFNRulFc0g+8MPU/5vf/wPq2Vew3ncT+qoL0UsWDPwDjxszmI/v+kuYc9F5zIEBk+pOD/pwOExeXt6AQDfbJvekeNTQxrvH9HClf94+8icXP/qKl2gYzrho6NVaZ7uZsxpbmreLWeVxens78Pl8lJWVEQwGD5twaWlpmdCAHYbeLheNRnn22WdRSlFbW8vmzZvxeDwDilIFAoEp9Z7NtnPeMXjsPZrXf0KqIk+09DTI8R7w2LY9oMWE06YgLy8PgIqKCoqLi1Oz2EuWQFe7YvNLikhYYSVczF9icssHPSxZupAffVWze6ump1Nz6kW1hGKa3t4SKmZqertyeeEJL6edq5lRk11vyskYXA7VRqGvr49XXnmFRCLBzp07Uy0h0ld1M9FbFw5f1Z1KH2rjxUljHOuK7WhNlT22Q9luK7ptKFJQYWgCbz0NcQ1rk4q1CUXCNHgxqdiFwhfX3GFqDqDYoRUbEor7EuADuhScZmjeP+ixxTWsThpoDaeZFsUZfgyTWRVZjN3mzZv50Ic+RFdXF9/85jf50Ic+lEopzs/PZ926dcybNw+fzzfq+8jEIDzjr7etUfVxdKW7f1TUGIciF/jG9pmubdBoZgBD3dJIngf15g7Uhm0YoQjJz97d/81oDOOvj6MXVKOXLiH5y38H39sTuemD9JkzZwL9E+/pge6OHTuwbRufz5eq2DzWlM+xGvw5Iud3v2zqY2vbGq1h73YDywLDhEhIpcZhThDb3d2dat1VXKiZO2MzZs6nsHO+QFXBsfuMZ8P12VmdnTNnDnl5eakMws7OTtrb29m7dy+WZREMBgcEu5N5Dh1LNqzYjpeMBrZHKjox0UZbvXE4nJmn9KpsTpuJYDBIVVUVgUAAl8vF008/TWlp6WGDAI9X86lvxPiffzYI9yk+/h8Wi07TgOJz31b84hsmPR2KD32+mkQyxuYNYTx5nfz2G+VYVojc0kaaOxLE7P78/2w48bOB8zoopZg3bx6BQCC1b6O7uzv1AZRMJlOvl3MRH2lvXRgY7E70rGK2Sk9jHO3F9kRcsdUaHk4oDmmFGwgqTYWCG902my3Fa5ZBIbDRgi4gD1hjmTxuwftNm39wWXwl7uIgcBYaGwgBkUEXLo+Cu1w2UaCIzMu2qsjZ8vpOFVVVVbzrXe/iv/7rv/j+979/2ARgpoLSbLsNY0MI1+ou7FNzcNUnUbsi6PMD2B9+q79eUqN2hNGzfZA3/EnRu2Mu9mrFO73JMWdHJL/xaVxd/wGhKObXfoz16fejDrVirFoLFSXY7V2orXuwPnIHBPxHvB2v10tZWRllZf3FpWzbZuPGjdi2TSQSSa3qTmZBnaEmq+Rczp5UZCtp8K1PTqOvI5d4VDP/1Aj7trkwfc08//ybA1qvpe+z9yS+htu6F/g6Setm4upToArQqnTI+8nW13xwBqFTF8YpSuUsqjiZEU6wm5eXlzWP6XiOGzKeigz9m7GzoXz2WF84rXVqNdaZfYpEIuTm5hIMBqmoqGDBggUjCopeeMzkvl94WLI0yY6NBsFCzdzFbx9nqA+6O0ApTVU1dLZ6eXNdLr6cEhacAom45pb3JojGO2lubmbnzp2p9jZ79+5NbXSf6JTYyZ7MSJd+LG63m5KSEkpKSlI/i0QiqRTm2tpaenp6cLlcqSDX+fdIPRSPdJ9iYOGZiQxQx/J3k/XaWRr+lDQwgStMG0uDy9bMNqADxTYbShKKOSacbGg6Nay1+3+/DI2NIg4ooEJp3Gg0Co/qTzO2FFgcvv/7DHP8Hq+s2E5txcXF3HrrrXz5y18ecrIgW4JSyOx5q0vcEDDBArUnimpNoivfWm05EMV4qhu1KYReFsS+dfh5Dib952cORz7WYb93K0pIrvge5hf/F+P17ejNO7EvXYp957XommkYP/gjKh5HXXUB+tQFx769txiGgdvtJicnh7lz5wL9E/iDC+oAh+3VHa8VqeN5NWksjlY8Csb/89dJbd/2mptdG70kk0kifW7CUQuPz2DxGW7OPvvs1JjYlfwDht5P3PXPgBvLuAzTehGTTZj2o+TGHwY0Mff3SZo3DXmfU2FslV4XZvr0/h7SzjnU2dlJQ0MD27ZtwzTNw4pSTdb2tWwasx/NaF7/jK/YQn+qy2QGtqNNgxyqKhuQWt0rLy8/atP4oY5j8DEkkwrQNDcY9HRCNGLw0pMGF19n8+waxYpfmMTjsPiM/v1vyQT0dCq2vKLw5mqWXgrTZpRgGP2Bmm3b7Nu3j8bGRnp7e6mrqyMejxMIBFKzRIWFheP+emTTh8+xqiI7vXWrqqoABvQ6c/brRiIR8vLyBlzIj1ZWXvQbHNhO9B7bifibsdJAi8tDn4ZGGxIaPpc0ed1S5CmoVjYfc1u8I+rigbiL2zfZzJmuaS9TlKPxAjHgRtOmB8VrtuL/Ym4s4FpD8x6PxQWmJgFstQ4vAjSuj20SPgdkEJxZbrcby7KG/BzNlqA0Y+nMCY3r/9rQQZP4v1T2r8zOz0WZBsb+KMZ3G1DtCWhPoqe50fOGn4LdpuEcU/NBw+LCt0ZaDTb8V9xkqaF5v2cUK2yGgfWP70Vv2ol92bngcWO/8zqMPz+CautCn3sq+pR5I77Zwa+1x+MZsKqrtR5QUGfHjh2Hrepm8hop5/TQMt1j+lii0eiAlOK+vj4Mw+CFh0/DthSlFVC3W9Fan8/f/2ucd39sYKaA2/odSicw9B6UbsZWp2KyCYhhYAFxQONJfm3IwDabCsGO1OBzaHBP3fSxevqq7li2eYzEVAlsYeTjtHEJbCe7gNRwAlsndSD9pE2vylZWVsa8efMynjpw8fVJQr3w0B/clFRqahbazF1ss/NNxZ9+ZNLWpHj3pyyWf8DmUC2sf8rg3Z9IsnaVienqD3RbG6G8f1IIwzDIycnB5/Nx2mmnDViR7OzsZM+ePQP6dDk9vcYjJSJbTpKRnrDOvqL0at7p+5DSe+s6+5Wc35+oD6GpIj0VeSwB6kT1sZ2MC+cWw8P9hZXopMFZpiakNX+NuWhBMUNrnk0aJOkPeEMWPOI1aNXgaYIFZTZNKHKAD7ttgga8koRvxl0UKPiqL8nst8aDOWmPcSLJiu3Uln4dHzwhmomUx2warKpeC2NXDEI2epoH+/RcVFLj+kEjamMfutiN9XdlKK+JfVsxeIcfbG2xFK/YijAGy+kvqtOlFREUtW89/FE9D1Vl2IN61Orp5VBSgH3leTAOAaFSKpVa6uzVHdx/PpOrurZtjyhj6kRxpD226YV2RjshYFnWYfViYrEYfr//rW1203jxkXJy/W6wIuTkaUK9bvILNKYJD//JxblXJllw6tufDzH3NzHt1/Akv4miD0PvAPqrJltMx+QQGh+2qsGwX8E2zhnVsU+UsVxn0seZ1dXVaK2JRqN0dnbS1dXF3r176e3txefzDdinO5oCfcMxlQLbkRqXwHayC0gNFdgmk8kBQazTI8tZjc1Ej6yhDL5wxSLw+F/dhPsUy663uehazavPGSw+06aoDC661uKkMzVPP6B4aa1B6yFFXj6cep7msb8Y5AU0zQ2K/ALN+qcMcv2aA3vymLbQSD32wSuSTp+uzs5OGhsb2b59eyolwgl0R1NQ6WiPczJl4oQdvA8pfQ9F+oeQ1+uloKCA4uJiZs+enYnDn9KmYirySERCsOE5k8oZisVnHv2+bA1bbcU0Q1Ok3v5ejzIxdZKwgmctg2hScwhFBIigeEPDiwmTmwybL3gtHi0xeLLdIKygNqCo8xkUojlZafIMWOiBq1wJNFA5xPWvW3WzXW2nWlczm/F9j2ZLVeRs+jyaapyAIh6PDxnYZstqayZuwy40Sby/BPc9TXi/UE/iw6XoJfmwPYJ2gZ7vQ99c3J9I7B74HjPua4Oojf2eUobaQHu+qYlis8h4e6B/kqn5qkqy2VL8OWFwBrA2r5D7Yiaf9lhDtwTq6Mb1ue+gT56L9ZkPDPlY9EVnkrzozFE/F6M5b4fqP9/X15e6Rjr7DNNXdYPB4LAG6sfzoHssjrTHdqR9452gKj070elB7RTYnD59Ovn5+bhc/WHC/p2KFT/LIWlBLGwQi/YXjfLlQM1im+52RVO9kQpsXdaDoHuwuJi4GUfpOrTOw6N/gc0cNAE0TWh8mPYmPIkfEPX8HFRe6jizaRIs05RS5OTkkJOTkxqrJ5PJVFGq1tZWdu/ejdb6sKJUmZr0OV7PsYxXRYbJD2wdzc3NhEIhuru7CYVC+Hw+gsEgxcXF1NTUjHtq6eA3zZvrTWp3Gdxyd5zGWsXGlzxseA7ygzCtWvOfv0nyt4cVP/+6ya7NCpcL5p6kOf0Cmx/8m4tkEqwEJBKw/Q3Fk6sM+nrAsvM4T+Vz0bKhj2OoPl09PT2pmaIDBw6QSCRSJ49zAo00yM+Gk0RrPS5pTEPtoXAmS7q6ugZUAj6ROQXkYOoUjxrO3zjbFA7W9rJju4uWNoP8MhdFRUXk5ubSiSKkYYYBUd2fbrzHVvwmaTBHaT7hsXkqqbg3adDu9pOv4izA5gXb5BltYKMoJowbFyHchFCstA1eR3Ftpc2thsXTysTrgxZs8lQMr1I4tVYr3nq7azR11DGDGRgYRFWU/yr8L7a5tnGJfQnftr5NDz0UUDCyJ3eYsq14lBg55zo+Xm1FsqEqsmqIU/N7A+91YfQNReiFPng9hNoehZP8MMsDdTEo86D2RzH+2o6+JACNcYxHu0h+vgrjl839wW5tFPJM7OXFUO1NBbkeBde4Dl/dnqnga5ZJEphuuNnrykVrRatWFKvDnxfV0g4tHahXtwz8/va90NCKvnzpkIH1SGTivFVKkZ+fT35+PjNmzAAOX9XdtWsXWutU+qXzNXgCRbIwhpZ+fU13rNYolmWl2j45wWwikUitxk6fPp1gMHjU3qzf/ayP9haFbUMi7sLt0QSKbCJ9BotO6+LGuzYwbf45gBt0H+7kTzH0PjQlxFyfw3J9DFO/ip14BUPXk6QGhY2iFdCY+mVy4zcS8fw/tJqRqadsSnG5XBQXF1Nc3L+P35kscsbqTmE3v98/IH15NMVPj+frZkYDW6XUEZu7jyfLsg5bjQVoamqioKCA2bNnj7qf6VilX8BX/MJNd7uiqMxm33YDNMxdAiVlmhlzNdteU9z/G5OuDkjENO3NBkrBD79iEg1r2psUOzYa9HQpvv2nJJfcaGOYmtfWxamYdeym2I7Bqbdaa8Lh8JAV3dL36R7t5MmWGVbn+Z6IY3G5XKnKeFIVuZ/L5ZpSe2zh8FluJ53fGZC19fTQlLCY7jIoCAa59MZCUDEaG1vYvn07LpeLV2fMxfbnc1aelxZPDo/bJh224nRT4zc1v44bhG1QNuwx3TQXVHIorqhwvUqHdRJuLOblfYkD1lymRT9JEyYdKDZisCepWFCq8QFf8Vj8j34Oj/sRtql3sUQv4UX1Is8bz/Ne6718w/wGDxkPcZl9GV+wvsD35n2Pfd59RIkSI8bnjM/xrPksH7Q+yKX6Up4wnqBSV3KXfRcAG9VG8shjnh75Pj3nucuGFVsxek5ge6QBdLYEtqP6jGhOYGyPoPMMvK2Qs7oPo6IP++Qc9IIc9AIfzPJiXxjAuLcNtSMMnhIwQHdbuH7VAr0W5s+bIWBiX12A2hFGvdSHsbYL+9YSVMTGurkIZg493jAULDctnrRMEgre3d1M2bRS5g0R1ALohTVY3/wndEnhgO+b//kzCEWwqkrRi+eM+LkYcB/jdA4da1V3165dqZZ86YGu9LEd2rFSkZ2J/UgkMmA1tq+vD7fbnVqNnTFjBvn5+cPK0qvbrTDd4HJrvD6I9AEoDENjJQwUsGje16mufBx3cj4q2UHU/RMS5gcxrUdx6XXkJD+ATuahKcKgFYhikEuC5bh4HEUYRQ/oAxjWdizXjNTjGu1nxfFwXUifLEpv1+WM1evr69myZQtut3tAoDucDMyp8vwodXgBzGPJaGALRz7xMsVJoUgPYtNP2sLCQqqrq3nttdc4+eSTycnJOfaNjpPBL8btH4lTt9tgx0aT1kMGFTP6+9E+tcpgw98U807SHDygKCrVmC5F2TRN2TRNLKJQuv9DxTBg3sk2eflQs0jzm28bHDroI1AW5IqrR3+ceXl55OXlMW3aNGBgRbeDBw+ydevWASePk76cbRefiQxs0+/zeE2XGamsTkVOJlG1h9CVpZDrS/0NkPo8aeppItYZo0drSvL8FAcD9MxbTKs/wKluxXzVP+By0rN2J2y294Wp7OllTVKzureZiPcp2swb6TaraGYPPh1kt13JVcrifW6LpmiSFlyEOcRG77eIWV8mzz6Jg8kZtMdvIUSCMqOVmF1AHB9RonhUKwnXblZ5HqDRfJ59ah8LLJNTrFNYYazgdfU66831bDQ20qbaWGmuZI2xBm+hF5fh4hz7HHaqnbSqVhpp5CfmT1in19FII7lGLnHivKJe4RnjGZpVM5+0PslXra+O+DXIpqrIU+GinY2OVisjE/0yJ7MAleuvHbhWdZC8qwjbDb43YqiftBD7xgx4v8I+JQcz30SfH0A3xaHMhXo9hM5RuP69FkIW9sUF6DPyoDGBfUsxansOaksY49FO1JYQxoYQ2gT7Y0fu0RlBcUjDJncul9ldzDeO/lj0KfMP+579jqtQe+rQ1VUjfh4my1Crus5Wqa6uLlpaWti9e3cqGyoej6f27Eo9i6GrIieTSXp7ewHYvn07fX19JJNJ8vPzU3uiA4HAUVdjj6SpXvH1j/voalO4vVBQrIlFFSQ13lyL8iqYNmsvDbUl9HWHKMppQNGLO3kPbnslCguLWZg0oehDEYK3KoQb1GPQBHiJml/BY/0Eg0bc9p+wuAqQz/CheL1eysvLKS8vB95e2HPG6/v3709lYKYHu4MX9qZKYDsa47Jim8nA9lgpFDNnzkytxqa/SNmYm7/4TJsXHnORX6D56FdivPyUm6dXG3R3QnkubH/DoK8bknFFzSLNyWd3cMb5oMwgLg+8/JTBo/cqDuwyaGm0+dOPTOp2Q36RTVF5NKPHOlRFNyf3v7Ozk3379g1oSB2LxbJi1XIyAlvxtkwVjxrLLO2RGLvrMJ9cT3xxDe2nzk1dCAA2bdpEV0UXr1W/xpyaS9nguoJTDM0y06LDMgkChW8VgOmjjx7dS7mewV8tN697g1SX59BqPEljch4eTqfAqqNTl7OVXMxEkoSyedl+nT3JBWx2+XHZYdpVPU20oD2rcbu+jie5FIMiLNfL9OV8BxW9G7d1CkXmbg7lfoV2Yz8duow6VYfWmoMcpIkmdqldbO2to/wjX8AzZy++r3+FqIoSUiHC7jCnJ07nm8Y3WW+sp402fmv+lnbaeVO9yQetD7JML+O/zP+iT/XRRBMhQvzS+CVfsr6EGzfttPOI8QiX2Jcwg6OniGVbVWT5HBg5Z6b/SKnImSgeNVajzs4oNKHXQu2O0XKJJliSg/uKQih3oesMzJf6UDU2xu+bUdvC6GIXxoE2yDNQjUlQYH1pOizOQ23ow/zuQdQrfdjXFpJcuRAOJdBrOtAzvHAgCtVDB2PXuGwKFJTHeof8+bNJRaNWvMNl4znCQ7VvvXJUz8FQJnOQO3irlNaaV155BZ/PRyKRYM+ePUyfPp1AIDApx5dN3G43PT091NbWphZ4+vr6UkFLfn5+apvdWNvIdLQq/vwjN50tiqIKm5YGg9IKTWEphHtDvPvu7xEOF2O68/H6QqAVhq4Fkrj1Qyj639sGtfRvmbFhQNsrL4pOwGS/K0CFupWg9Thx8+8GHEe2jeOzjWmaqcWm2bNnH5aBuXv3bvr6+sjJyRmQgXk8p/tnfMV2rIGtc7I6QWz6hvZgMDjsFIpsCWzTjyHUAzvfNFEKZs2z2bTeIBKCa++yecff27Qdgj9836SrHSKhLra+0oXPE6b5UCHhPpv3fWo/idgMcvNNDu5TtB2CylmgTJuXHi1n+V3gHadJTcMwUieP87jSG1KHw2G2bdtGXV3dgJMnJydnwldPQQa0k8WZUXaCjYlMKR7qnNehCBE7SXdfH33d7diJEB3NB1F7SLXw6u3t5YILLmCvuZd95n46k/l0xw2i2maLbdCH4gzXfrapVgzrDF5wrWCdVUhjIobLKqaTUrTaxEHfN4jHr8CbPJegmYcv2UKYLmzTB8SpM4o4aNlYaJKmh4N2DTr0XZK6iGYjhNv7ONr1NJb7MSzXRuzcL/eH0qqPBtVOXMUp0SXk63xsbPz42al2sp3txNty8TROp6r1JLT+Ho2qEY1GG5q9nr34k37eY7+H1cZqTG0SIECv6uUl4yX+OfnP/Lf137zIi7zmfq3/eaM/cJ7NbB4xHuFX5q9oVa18xvrMuL1+o3U8X6Anw9G2FGVLKjKMbsCri10w3YM9x0vXqdBxaxElb6X4uv/YDhEb5sVQm8IYW9/a3qNAV7jQC3PQpkJtC6Me7cJY04FqTkDYwri/HfvmIpifi31NAebPmmFLGOuL04c8jkIF17ps9mqb0BA/fzBp0AcsNWHOBLy1s2n1RimFaZoUFRUxY8YMtNZZMWk+2T74wQ/y5z//GcuyWLp0KWeccQbV1dWp1djnn3+eiooK/H7/sW9sGF5+0uSp+90k4lBSqbAtxaF6yMmDd33oh9z5vu/T1V7Mi3+7mZfX3c55y9ZTUvEiigQWZ2DSBoCmAGgFXMQoJkk3OVSjmYHBXvrI4Yfuv/JuazeL1TTcRn+Bwz762OXbRVl32RGPURxuqAzM9KwIp4K5bdupjFZnC4CTiZZNJr2PLYwssLVte0B58e7u7gHlxZ1ZutEER9nwIT34GBr29weyly1PkpOnMQyYNhs+8DmLqlkw/xQ48+Ik//fDGMXBNygsPsjcM0/nO688StdezWMFj7Cv7ksku6u4/l02y260mbtY8+AfbUIhC3MC35ODiymFw2EqKirw+XypHl1btmzB4/EMSF8er9LlDuckyLYU6RPFZLb7cf7O+SwJ7a3F/9Bz9BUFCF9zAWZpMU/+3fuYlePl9rfqosVicfbs2QPAPD2Pi+OzWGX5Mekm7nuQ7aoRl72Q/1VvUOd6ASN+GYeSM4jZhYSsQvp3vobZQj7Kqiah47Sa22iI3Ql0QO7XwToTYp/AoBxlRslhP7mJGFGzgJAxDSjBttx0hGZD8BKSrl3YBImZjUCMYnshFbqCHWoHURXl3da7mctcHjce5wn1BK1GK4k5CaZ9/3f8Iv+73KOX81N+ikLhT/opUAUU01+MolgXU6kqudG6kQPqAOfqcwHooIP/c/0fBbqAsApTrsv5vOvz/D75ey6xL6FVtXKdfd0xXwMpHnV8OFq/zGwIbEd7G/ZCH4l3FWOd60c1vfU+1RrPPU2orWHsk3Nx3d8BCY0u86CTFqrbRpf7SN5TjetfazE/vQ+jy0YXu7BvK8Z4oB11IIaxvge70gvTvejz/P2rtoN1JTF/34K9NB+9NP+Ij+HvPTYtGmZP0KmUDYsA6QZPVmXDeG6y3XbbbcTjcVwuF3feeedhP8/UhFG4D77xCR/7dxr4CzR2ElA2gUKLaNhFaWUPa1ffQFXVDs654G90dZVx5rlreelv72DeyY0YtKMxABMwUPSi6B8T/NmbpMC2uCbRiYuFGBzAj+af+w5SQCedqpYXjV+zXH+Vb3u+zUvlL/GuyLtYwpIxP66M0RriekStvybbUAVkX3/9dZRShEIhDh48SDQaJT8/f0D15YlemMqUcdlje6TiUbFYbECRp97eXgzDSK3GVlVVEQgEMjJrkI0rtk0H+4tBxSKKvHxN0gLbgsf+YlJcobnpvTavJzaz5wt/oqb7DC70LiXmriC/dDVbHzbYlNxFud1CTu10Xlyrue3vbHaqnURO/j3lh0p5xX0Os/QspjFtUh6nx+M5LPffSV9ub29nz549h5UuLywszOgskRMQTUbvzqn4AZBpgwPbcSse1d2HcaiF2KxKos+8TGxvHbVVc+kNhamYeZC8vELKgwVUVk2j0z+H/d3nULnIItTj4YlaxbRpCfK8mtonPDS2eVl35XeZyQxO1tew3ve/7HM/zGOqDlfSxGdeQF74eg7l/RZbzYXkVfiMzbioIkEVYOJSzdRGP4GlFf0pV+VAPrg20t9R1saNn7OMLvz2i+xkBtrlJ+n5GrH4OzCVScyoIzd2GiXhbhLuBKbHpEJXcFnyMv7T+E8u91zOTrWThEpwpXU5Dxlr2GZs41L7UupVPd876R+oBD5lfYpeellmL6NlawvnVJyDu6i/INCF+kJWJ1bjGvTRHyCAQvF++/2cqc/kIeMhcnUubtzMYMawVmpBikcdD5RSA4rApcuWPbajeb2NHRE8/9OEdVYeeqYXmt66PndYGM/1YtYlsM9RqC4Le7YX699nYn63AfVCD7rAhXEghrEhBKH+zzQ9ywcbQ6jWJJgK449tqE0RrC9Ox14WxPzhIfSeKPY7+weTNMcx7u/AWN0B+6JYS/OPeKwLDc3CUT0zo5Nt55BMVh3u+uuv54UXXqC+vn7In2dimwBAV7ti7zaDlkaF2w1F5TZ3vvszVFQdYMUfP8+HPvEvRCI2zY3T6ewo5R3v/BGBglYsKweDOJpcDBoB660A142TgnxXrIM9Rg4mIVw8TRKNgWI6UZxXe5V3L8sjmgWhebzpfpPSeOmYH1MmGT9qwvhbN9Z/zkIvmLwaPmPh1AkJBoOpNpXRaDSVgVlbW8vmzZsHLEw5RammwnmZ8T22TvEo27ZTrXacr2g0Sl5eHsFgkMrKShYuXDiqMtXDPZbJDmwHP65LbkwyfbbNjLk2f/mpG9MEt1fz8lMKZRq43fDbX8+hbdmZvPDKyZzim8byO1roXPmP+A9CsvBqLrptNyHXEgr6F2DYureHjStPJXLxWh5+spPzTyrl4xW38zfjbxTqQupVPXP0HC7SF6WOI0yYHnqooGLA8e1QO9ildnGZfRl+xp7O4qQTFRUVAYeXLm9sbCQSiQyYJXLSl0dLUpEn1+CqyJlcsXWqPTZ299D+6AtUbNpBy6mzqX5+E9aOCDv9NdRdeRLvnpfHwS0m/tNsQu9ayNoVOfS80P9+OD83zo8Oevih6aFyVgPx4h6Sr+eyM96Ox9VBe/cOaotWYiR7SbpiJJMlGK4tlHUHyemqpLu4EFPncpadw8vMwsBPkCTl9kkc5BAWJugE/cFtHoS/SH9g6yaBooBK9jOPOvdivOoQy7y9hDy/pt7cQbeOc7d9Gxck/oef8TNqk7VcU38NS/cu5UX1InfPuJuf1fyMNpqYE7+Pr7gWEnR9mNnUsF1tZyb9VRNnMIOfWT8DYF3HOuaWzh34Gg3xsX+KPoUnEk+kfnaTfdOIXzfnNZqMVOShLrbyGTB62b5iC6NYZTQU9FnQloBe6+3vF5nYF/pRWoPP6F9V3ZDAPhAj+a1ZuL7RgHV7CXpxDuQakLDR0z2oxjhG/VvZaXkatTXS3+vLUP233xRHdSTgjpL+wPfPbaj9UexrCrBvKBrwfGSDbDkOGLhiO9njuGzi9XqPmBGZiUkngHhM4fFq8oP9/93eZODPb8UwwuTkdaF1hJq5+wgEe/jyP/2Jf/mPTxGL5lBa3ogihCYHRedbIasPjYFNAE0PbnJZbC9A0UQnOTzjMXjBnM3HYz2U2nt43l3El2JfwvVIN3937/lcd8P57FvUxR61hxpdg8HkB1UqZPVf3qNTOz1+8LXa5/NRUVFBRUV/XDB4YWrv3r2pujrpwe5I24KO1KRWRY7FYqxdu5Z4PM4999yTerCBQIBgMEhFRQWBQCBjjYWPJRsC28EMA+YvsWlrVrz4uIuiMs1//yHJwX2KYBG89ryic3eQ0MZ3YFuwqzDCb9qStLgPUlaSx9weP8X7K4l5LJ5+wIM/3+K5n56DbptBXm0Z1qGZWGe6+cuX/8KfjT+TIEERRVxvXz8gsP298XteUi+xUC/kbvvuVIC7QW1gp9rJXDWXxXrxiB7bcAa0Q5UuT58lOnDgAJs3b8br9R6WvjzcN3a2zTyfaNKrNo61eJRt26nCcV1dXXR3d5NMJjlUVkXT4kVc3xOh5vzzOdAMsd0t7FOz2HF+Ls/OcFGzQxOPw2N7vDwElO1LcGiWi9nVcaZvtQnETLaf9m0azt/MtNqbOWXHxwkVPcHOwvvQ0Vxc9iK8nml0WVdiWTmE819iRsMP6C1ci5c4lcwnTADThrmGi6jvxxQZO2lJnA3JKmy7BPQ0SL4fRQcB72+Jxe6iVhdwSnwmIbuHdxQ2cbf1n9RQw1q9lkbVyF32XfhMH27l5vvm92mb08by6cvp7u6msrOSjgMdFLR52O9/g2m+IBEMfln1S+73r+Au6x180LoFKMZI3kv/TPnwszeGCnhHSlZsjw9HC2wzsSo0GSu2tk9h7IpivBnCaE1SWaIormtHfSlA4u4SiGjsSjd4FXTauL5ZT/KvC7E+WYl6tQ893Y11kg9ja4Tkpypx/fvBt28710QlNWpnBHVvC0ac/tuxFWpvBF3tQy/Nh6CJfVsxBLJrL1u2nUOyYju0I52XkLlzs6TcJi+gaao3yM3XxGPwv1//X2ZUb8bjddFQN49E3CASLmDuonq6uwpxmTEqp/dv6emvfhxF48WiAJtDdGHyOb+XoNbcHX2TXmUwyzqfrWYzMWMXP8k9h11GL7d0fZpZeS5ChAgCnb5uvlfzPfbn7OfTsU9zm3XbmB/fWFmfrYIuC0onJpYZL8c654damEqvq+O0Bc3NzR2wMJWXlzfpnyUZ+3RNJBJ8/vOfJxKJsGjRIk4//fQRBSSZli2BrdYadJLtr7ew/bVaurr8bNpQTWOd5qyL3iASfpacwkupqNqPxzWfgsLZxCP5VM1t4dKrt8GZW3jZ76ImWsSmn57K9AvAfN1NV7vNru027eEY6pwtzLpqK8V/uYKLFlgU6PPYoXdQp+qo0TXcZr/9YbBT7eQnxk9oVs102p1cra6mQvcHtlfZV7FYLWa+Pry1wHgZPEuUTCZTs0QtLS3s2rULYECgGwwGj5i+nG0X6BNNeirySGeQE4lE6rUPhUI8//zzmKaZ2qowc+ZM8vPzCRkm9Zt2s/CNbViHWmg1PHSWFOKdWcTCqj62dxbTe6FNw19d7D8tSfPpGtcsm8aTFduK/MzVES7rsOnZXsnBeU+xe/lPuKI1xkkbK6mqvIHf15xGl+80SsJd4ElAsoywqmFHlRdl34ybEPcbLXjtNmZ2BWnLNVDus+lK3oWiCA+QVB2YuheTfPIIMt2IUeJ9jVnWpXwqZtFWe4Dzzj0/9div0lcNKBh5mb6MJruJmXrmgAvMQhZiV9v09TbR0dFDV2cPKlKLOXcnJb3/j1DyGQzPueR5N2MoA8VdGXplhyfbqiKL0TlSKnImrquTlc6sIjY610DFNXgUxevB1xiDX7diXZyPsS+GsSWMdU4e5ssh6LBgSxijIY56rAPzB439qzQ+E/P+TlTfW6u+fgUzvajNYYiD+1/rwGNgXV2IvrkQ8z/qoTVJ8nfz0OcdOf14MmXbdXPw8WTTsU2mowW2mVqx9Qdh9iLN9tcVLo+msFjT3VFGW8scaha0UjGtjpnVuzBMzeJT30U85sbji6FNmxgGHgzAxSH8dKpGFmiLAEn+O2Swwmvya59BJyb/G97PzXHNt3NcxHSAJxLvhNi9PBd5hrLlJ/HVC7/Mz31f4iX/SyRUglajFaxjHv74cxtQOvWvNyM95wfX1YG324I6GZjbt2/HNM0BPamPNl4fLxm7N7/fz7Zt21i6dCnnnnvupJdmn+zANh6Po7Wmrq6OHPN5fvyVyziw+zRi0Vz8QTeJmIvandWse3ARf/zpGcw9yUdRaRv5Bfl8+Ye/ZsZsP3WlJvfm7ORyfQZ7fjqXNgM29bn54hcsfmf8jp2dLdScdAr+th6a//su2l09xDaE+PBthSgUi/QiPmx9mChRfmT8iCv1lRziEPkqnz76yCefAl2QOuYyyijTo6tAl6kLo8vlori4mOLi4tTt9vb2ptKXDx48SCwWOyx92elxl20X6BPN4D62R5pBdtKK01djw+Ewubm5mKaJz+dj8eLFQ25VCAAne028sTh20oLblrG+oJS+AhexZuh5WdEQc1H4OpxRZlE6N0HnHIPHd7oI/lQxozyXlw5pvA/8M+d9poh9effxcEWSv+bs56JVZ6IqLwCPn5m9frqLe4iTTxILAwMbkwh+cnSES2lgSSTKE4EqYsnr+tsdoClVmlONBJ/yGMxUSdbbBpcY76XEzKXZXU+f6uNY71APHj5gf2DInxmGQSBYRSBYRfWsNs6OtvKxWBlhu4ZYMkFTcyv5OR1Ek0uIxgy6u7spKCiYkGyZbOpjK0ZvPKsiQ2YmQEZ6G3pBDrFf16ADBsbmCPG9rUSKTPI2h1CNcYjbqPYkqtcGt0JFNa7/acC6MoDqs6HXRl8VxDrLj/vztZCgv2KyoTC2RNAmKANsl8KI2Oi4ha70oF7q7S8205nA/LdaVGMc67vV6MV5WTH5DtmX7jvUOS3neH8q8tFWbDPxOr7wmEntLoPTL0yw+WUXTfWKm9/9JJdd9QdMo4nunjLqaxNMn7mHpqZKyssP4XbHsIF6lUuNzkXRzT6zlJfd5fhj7VToXirtBJ8I5/Kg7xRWu2v5k/cAllYEdSGh6Gfx6ulUe3I53/4lmzkNgiZW73KCPUt5j7+Fd1rvHPNjE2/LxLV6qLag6eP1uro64vH4EcfrwznGrKiKPFQD6ckwkYGt1jqVUps+SFdKYapOiktncfsHt/Db782mtcnHgiWaHRuhoCiMbftIJHyEexdguhZjepLEXdezbX8ru/bvomleD2ebj6G2LqLKM51bzyvlsT8dYk9hMVu3F+O79Rlcr12OabnpOPk19i3/PxrMED7l42z7bLapbfyP+T8UUMBiazEX64v5VeJXvKneRCtNGZkrpT5ee6UDgQCBQIBZs2YBEIlEUukQ+/bto7e3l5ycnAFV3CTAnRwulwvLslLPv3MOHimt2NmqMGfOHILBIB6Ph7q6Orq7u8nLyzvi/eiFNcS//BF0wI93RhUlC03iTW3sSOaxYLaNpwDy8sF9g0F7aQ7JpMb9rEJvh/0+RXmxom8+bJn1Ecrar6I2kkdLoI/203LxJvIwUOwP5rEgbLLPsEmYJWAYuKwkOckEN/fl8JPyp4hVWNx14C6iNaV8ynBTpHq4yW1yp/vt82qWaQP5tNDCw8bD7M/fz3z/fM7l3LE/4SoA5gIwz8Ln/zA+NAUlf4b4G4RiUfY22LQ1b6Ch/gVcnrmprIeRXFxGfEhZUhVZzv/Rcdr9ZHvxqFFVRZ7vw3g1hPs3rRzSOTx5SQGuBXlcMM1k2qNdUONFhTVmaxI710DtDGP+ugXcCvv6Iuzz88FUkKcgqcEHKvFWlVSfAg+oHAO70oWRBLs+hn1zMXgValcE45U+iNioLWH04iN/vk20bLteShbG0I7WdSRTqcidbYquNsXiMzTJJASDPdyw/NtUVu0kN6+bcLgMVALQbG2bQV5BF7n+PjQGc7QC+oA4Z1i1hMwb2eQp5DnLy5z1Ps5OvE7h/GrqKt7kT37N3ISPn0cvp9kIs9Vq42XX9bzEZXwtsh1csM48i7CV5MJELkEjuyZfprrxOOfTiwE79xGNRlOB7v79+3nzzTfx+XwD9ulmultK1vWxzZTxDGzTc82dgbozK1FQUMDcuXMJBoNseuMhFs56GY+3iitv6qBmfgfrX/wo7c0uWg8pbnlfHZfesI/5ZySYe7IXKxnDTrYya/580EW0//4s1L9dz2tVO9i0YSHBcs26P+/g5UfKSVhnUeAuZ07BPBrfLKMXN6d97TkeLXmRiJ5Pta7mZvtmvml+k/3Gfqbb09mldlGsi1lrrKVJNXGVfRU/Nn7Mefo8LtYXEyJEHqO72E7kjG9OTg45OTlUVlYC/enLTqDb1tZGMpnkqaeeOix9eawNy48lmwYGk8XZWx8KhYjH47S1tdHa2kpvb++QacVDvSbDOne1RntnoAMu5rzSy7Wvhrl3gcn0DUlOK7O5/aYkvRfD32yT4lbNKW02l70zyd4bDPJroBSN6oCf5bqpak7QRgmGrqD9NJhm2OQYGtuASpeHuzobeMVu45KuN9hXOJ0uXchsuxzM0/EdaGHWE31w3TqemLMVjQ36LLQ1B63ywJiVOuQAAYp1MZuNzezI30GMGF6GaAkyEsqD5f18/39auzAjf4+yd4AqJrfgq/hzmznvpP/BZTTQFf872roWsn/fdN7sjaT2xhQWFlJUVJSR0v6yx/b4MJ6pyJNVFdlhz/OSPDOP+IsJznyyh1fm+zl0boDSc/OwNPg+XofZaaGvKkBXe3F9uxEMMJ7qwvxDK3gU1k2F0Gdj/K0HbBvlpr8NSBKwNXqOF/uWIvTVhXBpAWpvGNdH9kHSxvqHCuwrCqApPubHkknZchwgWRhHcrSFo0ylIrvc4PFodm9x4fFAQanJhvVXUlZWxqVXP0ReIEJna4BgsInEgdPRM/eh7XaUUUSMOJtUjNO0QZIY8+IP0qUSfIsnaD+lhi93/AeLPQ+woC7A9nk9/Lo1iM9/kBfdX6fQ+hrNFGFh0sIWYnYYv+sBbCuM31gGzBvzYztMxAKX6k8vPsFMxHVTKZUar1dVVQEDtxu2traye/fuVLeU9GB3LBlmsmI7DE6/XWdFtqurC9u2Uy+E06Zo8CDd0h40brQqA3KYvSiHWYu3EE94ueods1k4/yUMI0nzwQS//u88Pv6vj3Dexc9iJy+k+cAe/nDPB2luLKWtMZdp1bm885MJQr2zUIbmlHP3Y6lWTioJc6i3nO42D94P/xMXfceFNa2BTXo3P835KZdYl/A6r5NLLm8ab3JQHWSf2odP+4irOAmVoIsunud5HjUe5RR9CnP1XM7R54zoOZrMwaXL5aKhtIFvV3ybm3pvovSlUs4888zD0iECgcCAdAivd4xBhRggEonwL//yL+Tn5/OZz3yG97znPeTk5DB9+vQRVUAf1u/sjeH+Szv2NA8ETN7s0Ozy57BgWpQlS/JQCl7bn2RLoUnL1022dZu4vqtZP9vkXGVxtyvOqqCLa6wEsw7to2bmTDZamjqPiRvYjyIHzVfNGKfl7MC1dTW0FJJYOh+r0MKdV4o2q9DTIxjX3Iua9gKa6WhjAdoox0w+isaL7f1E6ph9+LhV30pVXxWHOg7hnTX0+2+j2kiYMOfqc0dWBVI3ABYKG5siXPFvcNrsekx1CIWmwPssBRXPUjP9UrTVTFv4Q7R2eDh48CBbt27F4/GkgtzCwkL8fv+IzunJqkgug+DMG89U5ElPZy5wkfxcJfrbrRQ+ZHL6G71UvyMAhuIhy6TtczN491cPULShD+u2YshpgpCNqks4d4zxRBe4QcVttKHA0ihnPr/PQh2MY6zrQT3e9dbqbE5/NeVCF+SbuL5YCy0JfH8HseoxPxVjlm2TQ7JiO7TxLh710B9drF3hIhJWVFVbNO6PUTPnGeIxH4GCEA12JWuabuOjZT/ENJNcd9PPcLnjKGVgqXOpVZux6OMl5aOyJ5eK3B6qDItlah1rvQEaS0weUv/NwvoHuaSjj5kezUG1h/MTUS7S/8sW9THc5uNcyVV0x+/gi7qcX4aXMztnBgAdGtbaLs4xLGarMX6GdCRw/eN+dNDE+toMzK8fRJ+ch/2h8rHd7hQxWef8UNsN07ulbN++nXA4jN/vp6CggNLSUqZNG1kL03EJbKf6iq1lWfT09AxILTYMI7UZurq6Gr/ff8wP3qRVSE/y0xSYhSi9B5e1Crf9Ei6zhJqF/4oyakBHCPd6sO0wD/5fKeufupQXn7uCrrYEvhzF6ec288F/jtDbN40VP2/j0CE/HW1FRCI1fO2XEVw5nfCBep5cEaS1IY+Ln7qS3z0fp4teXv7R76grqCNAgDP0GVhYVNvVXMiFnKXPooQSlrIUDx4+b36e3Wo3jTSyWW1mjjUHgGKKR/UcTrQm1USECHVGHeVG+WHpEOnpy3v27KGvr4/c3NwBq7rZUM1tKvP5fFRVVWHbNp/97GfRWuP1elMzdcM1nHNXl7qxZ3iwF+ZgL8lFnaEpzglxVXErC6cHcf2lE6PepnlGHh0tQWg2sA3oQtGuFYdseNo22YBJxZwl/NqIUezT7NARHrLyWaPdzEdzkqGx8s9FV1eg51WhS3IwlMIw3WAfwMz7HcxVaHUKtudmMKpBW9g6DEZw0EHboAxmJWdBbOjHZWOzTq0jqZIstBZSRNHQvzjUc2JegpXzM5JUggJX9O+xtYukXojpuQYIoaw3UXYdht5OSWATJQVV2K6LsWxf6vxobm5m586dqc88J9A9Vg+7yQpsZRCceeNZFTkT749M3IZ9foIXisvYc1oxbttNr6XIUTYvV+dyToWX0/dGMM72Y72vFPNXzf1/5FNoj4Hq7G/5oQEqTYgn0R76v+EzwNaoF3og1wU9FsbabnS+AZ1JzJ8cgrhGV/uwfdnxvs3GwFaKRx1uvPfYvrHOpH6vgduj6Ygb9M5ws3d2MZfPWUn59FpaoqW8t+qX+Mw+AAwzRizppseeTZG5jzIW8jevj8fixTTmfokPR+5jfvQ5Phf9Bd6S/+HZnC+wN3EuZ1pd/LJhB66ZblYYF+O2t1DPErZ74nzQvIzn7Se5LvEq51FAc8sX8BX3b5t5WZvcb7vo1oq/d41xAc15qmygK4nqsWBnZGy3OYVky776obqlxGKx1HgkGo1OXrsfx1RMRXaqsTqBbG9vb6oxcVlZGfPmzRtD0GOAUhjWTkx7CzbVWOaFYHiw3bfz+tMPs+KXvUQiQfq6FvDaS2fS3enF54OTz4kya24eLz8dwZvbwu4tBeRc+grR108nSpA8v5v7flHJtjcKCZS2E/CXUVVm4gs14Y/n4D7oYoOxgSJVRFRH2ezfzHpzPf9k/xMluoRX1Cu0qlYuti+mmmqq7WqW6qX8Tf2Nn5o/JUaMW+xbqNE1FFBw1Ec52RfGK+0rmalnEuwLslvtHvAzpRS5ubnk5uamgqxEIpE6cQZXc3MC3aFW4cWRKaX4yle+wne+8x2Kioro6OjIaB/bAYImyfe/3bj9xtmweG8rSa0xN4Ywn+nh4VMqea48wE3nhbn65R6m32vxi49O4/fazZOWi3uMCFGg27ZQgGFv41R7JSfpxbzTmEGFUYWhpgMmdmX/RI9pv4jS7WBehLIOAhbaPB3bfTOot94rykS7Lxl4vLoXI/5rUKXAZYN+puGtc8fA4Dr7OqIqSr2q5351PzfaN6b2wocJp3pT11JLAQVvTz4phTZPSt1sMucPvL5hHSedfAql6lcYifuxPXdjud+FYa1HWZsxot9Hed4P3s8OmEW1bZuenh46OztTe9lt2x5wfhQUFAw4P2TF9vhxXPaxHfz3OTD9BpN1xXm0aUUBmuuU5nTDomZnBHfMwm5MYP3nLOhIklzXDfku4tcUkv+jQ2DTXwSuNYl9lh9MUHti/au4rUlwK/T1+dgdSVx/ae/fg1vsQhe4UN1JsDWuNgsq6N+vq+jfvzsJsmWQ65BzemhHG19nIhX5nEst1j/lItyniJ9u03aHh6j3bP7wcz9//49fwWc3kpMXJ27l0tZawbNPX82WSICCf/wD3fGP8CLLWJBYTSEhthqz+FbeqZxvPMQPWsooKojS5Pkh/thuKu9dBJ4P819fnc0fk1eSYAczVSO3JH/JZtPgZHUTh8xi8iNnsCDckzq+pcqix1AsNTJQHrnYTfJnc/pTkb0GyS/PgKLsasM1nrJ5Qtjr9VJeXk5ZWZkUjxrsSE+IMxvgfDm9mILBINOmTaOgoICGnAZyVA7T9MiWwI90DIowqDiWcQ6WeSVaw19+tIc1/7eE1qYAYFI9P0g80kt+oJ3l73mTW967nk+/+y4iYS+G6WbmnDbKT+sl1BihwCwiLwC5+Zrdm71YVnl/VbovF1GUX8bi6Rqrehqv5f2NglABZ2w/g0hOhPqierpD3TT4Gnik8hFi7hhLWMJnrc+yT+3D1CYdRgeNqpGFeiEPGA9gY/MJ6xOpfrcjea4nioHBIr2INt02rJPV7XZTWlpKaWl/cJQ+kO/q6uLAgQMkEgmCweCAgfxQzagn+7FnE+f5SSQSo77QjmXgqxM2VqUHdU0Bp9T76HxJcd1ZJufnJbFnergpEufPCQPLpbD8ip+YMZ7ev5X88lI81i9QugvDKGGO/TIWJ5M03pd24524kvcB+Rjx1/v79HneD2r220HtkAcVwYj/BmVtRJvnoJTG5z4IOgZdMYyVT6DnzkRf0p/+X0MNaLjfuJ8G1UCzak5VK3/WeJaX1csstZey2dhMgS7gI/ZHjvBE5mBrDwatqPhfUdSjCYJRha2uRhHAsF7CNg/fdpCeoTJ79uwB6UIdHR3U19cTj8dT50dRURF+v39Ur9lYDTWpJufk2GR7YDva23D9qQ1zXR/xL1SilKJcW3zQTNBsG8xWNhVK43FB73/NZM9vWwiu7aQkZBP2KcywJqZtQi/14lrgw1cbQ/Xp/hUfBcRtiCXRMTC6+otJJc4L4Pp2A9oELI11bSGc7sf1+VpUS4SClYqeaW7Mbx+EziTWl2dAcHIG19kUSGbzoHsyHS0jcqzZFIk4tDcrAgU23R0G+iXF6S6bwnAIPCEC5Y1U1jTw5999koLcZmrOfZOCRS2ckrePHZzGk8aFdBEgwQwuMn7LRdpig/UkO/0R6uY00dbn4Wvhdso2b8A7bQ7v/Lt/YKORjwuDufj5Fr/GpzewI1nNsuSb5FqLORj9xwHHWKTgTvPwLRKjlpd23a4Zn2KK2ep4vkYet4Gtc+FLT0N1vqLRaKrQ0+zZsw8LWLrp5lnXs7iVm/cm3nvMfW6thxQbnjM5a5lFaeXbb5b0C4VtLMTWJ6ON/h6xrfV1/PJb0zFNTUGRxpfbxVe++00evPd89m6vYPn7dpPnz+fm92zjL7++jO5uP4XFMZofriG3wU1vLtz3c5tbP2ixdqVN2O4jumQPna/NQnVVcO5lmkROOZhg5VtcfebV3JS8qX9gmuwfmFbVVvHK9Fd42H6Y2uJa1gbXcp26jnfb78aPn/l6Pr83fk+dqsPNsTdyT8aF0cJihbGCCl3BMr1s1CvH6QN56D/pw+FwKtB1mlHn5eUN2Kebm5ub4Uc0tTkreIlEYtSDz7H8XcmDCTyhFhIfLuP2q+GSP7Yz5+eHsD5SinVJkLM74qz/zUa2Vvdy/h0VuNQ8vLYFOolWASzjApLmdWj7eWw1H2XvxmWvwzJOwpV8CHQftus8lOEC3Q5MQ9mbwW5E2fXY7uVgDNqjo7tRuhOMWdieu/EYT1NZuBqjIwZr8qC5A1VaxOBHfJV9FaeoU6jRNanv1egaWmhhoV7ILr2LWlVLPfXMYMaQz4nWmkLzQxjsoX9JqRBlvYo7/B5s11Ukcu8FfezZ78HpQs7nakdHB52dnal9MQC7du2ipKRkwvaxS1XkzDtS8ahsqoo8GkZDAmI2qrv/Pa+1Zp7SzDMHngPNfTbefVFyX+zBTNrkXBCgb2EOvt1Rghv6UG6FXujrT130GBg7w9CRFlQYoOd4oT2BvSQP1ZbAqIvj+kMr1gwvurz/eho63cL2AdvC/YWo+iysn84d1WMbi8nOuBpMVmyH5qQiD/V6jfXcPLDT4I0XTKoX2BzYqehoVZhhm4KP/I3wT728snUpp05/jVNPe57plQfwF3djFFv4QjMpiBWhfB/mFaOc6bqW16I/xZM0uOS1g2w68zWe8Lp4pbWQK5WP0z/6ZRI9xSyubuOVG2JU+v7IR3UVJ8euolGVMYMz8VvfQBGhIudzdPg+BJw5xmdODOV4nTw67gJbZ2UhHo9TV1fH7t27SSaTqUB2wYIFQzYMtrHpo48AAfLJZ4m9hFxyh1W8ZeOLJn97xIXbA1fcOnA2KdXuxFhCEo2hX6d++0G++MElREI+KmaEqap2UVR4kFnzImx89Rzq95Wy9kEfN93+M95YfxF9PQESsSh93RpfboyqGW0ES0pYrHag10Xx5Z6MoTUX/O/LhFaEKOmIcfanGziLT3Jy8iSKdXF/tWMXlJaWUlhayGa1mTpdxz69jy3JLdS56ojZMda3r+e2g7eRX5RPrCjGB3I/gK1sXMd4q0zW7M8+tY97jXvx4GFZcvSB7WBKKfLy8sjLyzusGXVnZ2eq4I7b7aagoICamppxa58ylTitQpLJ5KhnkMcS2Fo+IKLArfDlwNxN7Zj7YugX+3A91I290EfZh1qo9LxIUt3Qv9iiFBbziLs+B/hBGVjmtQC4rPsx7Ncw7DdQdGIb80ial6E8b+0bthsx4n9A2XvRajrKPBVtlEMsjtqwFT13JupgO3pvFfaVV4AvB1uXkUwWwEE36kAD9mkL0ddedNjjySOPuXrgIHehXshCvRCABSyggQb2qX3M0EMHtgAJfTYuow9tnontvg5lbUBjgN2FO3QJ6CQJ//Oghr+fNz293zk/+vr6WLduHQB79+6lt7eX3Nzc1B7dwsLCjFReHkwGwZk33sWjYOzB1GiOI/6JclRrAj3TC68f+feqz/dz8BOVmNv6sEo86AsC5O0JY3yxjm4T2qd5mWWA22OiXRodtvt3E7x1SDpogMvA9a914Fb9+3F9CgpdGH9uQx2IgtLkbDfJrVbY7yxF7Y+hS8e/1/RQsi2wlT22QxvP4lHl021CPQorqXB7NP5AjGRvG9cv+gUFnw+TZ3Yx3b+T/DNiaNukOx7kyeal/HHBrVTZNv8Tuo/1hfs45Qd38t17crj3v2vZc9Gp5OdoEsYuvlX2H3jdZ/HUP+yl+GmDzgvWcFLuC0RczexOnopJHzO0i/LYUvS9d6BP34Ge04NhDNz3GiJEDjlHHZurAzHc365F31qCfV3hqJ+T41kmWkNlqym/x9ZJIU1vvQNvrzDMmzfviG1F0r1qvMoWYwuXW5dTras5xx5+VeAzL7ZwueG08y3o6Mb9x4ewz1iMGrRfxmU9SqjnIF/96L9Sv68CvzdEZbmHT34nQvecdh5ouZJzLonQcKCXP/ygmHWPvpdzLglzYG+CnrZ2ggv2sy/sZpby8skvNDHt0df41a9Oo6/T4NRL+vis7w4+/1APT23z8kLNZr56q58r9ZWHHe8GtYE/GH+gVtUyU8/E5/KBgll6Fne77yY3N5fnup7jCesJFvYt5LrkdeQW59Je0s7pvtPxqaEDuMm4+NToGu6w76BS97f+Gc8L9FDNqLu7u+no6MDlcsnF9y3Oxdfj8Ux4YNt2lUH5gmn9g0kg8Q+lWGfmYp2Th+cnLRCysYrPBu3B5rTU32qtUboZt3UPlnkNltHfYzZpXI6tpoE2MKgjqS7C0J2gK/v3xapStHkOtnkxmDPQxin9x7JlN8b9T6LPPAnicdSuCOokG10IST2DuvZ3Me2MM1G37EfXTAfPyAe0y+xlTFPTWKAXHPX3evV/4sp/++KuXReTyFsLFOAOX/7W/t6xXwqcrJdFixZhmiaJRCK1R7euro4tW7bg9XoH9NIdaeXloUjaYuZNRPGosXxWj/o9k2OgZ3ppPqjYvbGAggCEevpTMHMD8KtveFh0uub2O5PMf7iDVp+X5MfLyMlTmL9owjwQwwyYBNqS2IUGutqD2hmBKKD69+3qKg/Wl2Zg/rkN1ZqAHgsVsdE+hToQQ1nR/uJRQRdGVFPyQBx1s0Xy0cUYT3RhfrUW665SWDRx2UDZlJboHIuc04c72sLRWCedTBcUlmnamxR5ATCIUpm7g3htPrPKN5Ob30VUK/7WUkly50k80F1N5wU7iLvaqEsu5rHkP/CvvT+gYVcVmF2c17yWp31BFh68gh1RD3XTDrHXu5+GDxez+EMrCfv+H0mzjL9PfIKLrAvpU79mg+sAZz3gJe9LN2EX30DrEx46++LUqTpKdAn7jH180vdJzrHO4euxr9NDD0UUoRj4eWC+GUZtjUB+F0hge0TH65h1XFZsnZS08eD0QHIC2Z6enlTRn6KiImpqavD7/WzcuJHi4uJUaumxePHiUi48HL6HEkAdaMT918dIXncR9skD+2kVlWouO7UO93f/gj2rCvO1baieEGrZSRjN7VDUvxKSMG/H8K7HMGH+3D1Ux5NsPDSP/9hwP3v/Yzqu7WdxxtwQHk8cX26MSKSaB35bCskkV8/fhrr2fto6z6Xw0BIKZi3EXh7E21dIYdxmxvwePrW8gqaD+bjjUNk1mxlWAtTbhWkc1bqaRXoRVbqKBtXApfal3MItXKGvwAyYtAfaedp8mm1qG6XhUvx1fh6IPcBDoYe4bN9leAIewsEwH1cfp8xflvpAnYyTxMTknfY7U////9k77/A4quv9f+7MbO/qxeqSe+8Y29im9x5aIKRD+IYkpFdCeoOQQiABQgiEJEDovRsMuOLeZcuWZPVVW22fmfv7Q+xaci+SLfj5fR4/YEsze3fmnnvPuec97zmW41AUJd0j9+O6QBwuhBBomoau69hstmNORUaIdFALYI5yYn7oIMZvGwZuBYv5IIq5Gqk5MZn+4buLIGgHehBmEyj0tvWQ25BkIEUOqv4mNvkyKB7QPotUJ4CwYFqv6P0wKUG2AhnIqhLkKVMxR/dmXEWmHzmyrP+AbVbkhAMHpQeCEyfj5fgD/s5+n6PSm2VNut7p/bvY97p3ONhTPMpisfQ7CEqt3e3t7TQ1NbFp0yZUVe3XS/dIGrUPtWzTxwHHKrA9mnsczfVb1ylsW+eltBK2r9HYulYwbmZvxqpms4CEZGeLxu1rcsgxNL77R6OXemxT8BgmnhYD0QrmyR7YHkPEZO+a4VGRJ3thhAMRMhAteu+6AKBLpCHBqSBzrch5HiybOtBVidgVB4tArOxBvNaF2pzE+O4wyLX2qiwfAwwVG0rNr6EynqGEwRSPcnlg4iydXTsUfAHJqvfcJOMTafj95yB3BB9cuQHNv5lMRx3WGe+zoKmR/2w/n2tdD7LQ8XmWq6MxcHHPTx/g7Yveo3JEgnk7zyfeFSHkGM97oooaw0VVTwd/vHAWCe8UXny2hTM4A0/EyeOO97nDsZobE8XcGDuT7kgX3zfvZ4rvVF60v4hFWogTZ7vYTrVWzQplBRZ6ywWv1q/u9130s30oDg2meI74eXzc8VFiOg0JVeSBpCKn6J+pYDYUCmG32/H7/eTl5TFy5Mh90tsOd+ObaE5knDkOlb0zu+20s2vVvxi7eCtWv2evwBZAqdmFUt+EzM0g+blLMcuHUXDPw/h3taN8+ZO9dEOlgtqdJoaho1h9/N8fdV5v6eaNogbEty8k0eOieP5WQg1BvvqVP1GpeHn+/jPpcXTx6S+9BIEmtv+ziu7aSbwaXYirMo634jTanpS8u7Ketetzscb9+AI2xjZk4E28imn1gSjpN9ZccrnBvIH7lPt4TbzGW+pbjGQkC/QFqKh48TJDzmAUo7jWei15lXkMU4ZhKAam16Qh1kBXoouFGxaSmcwkIyMDXdeJRCL4/f7jaiymaZ446T3OSK0Bx1o8as/rxNYYlkeCmJU29Msz0oqHpjkKZBApeum7Wb61ePgvql4IGBjqjN7racJi/BOkDggUWY0p8pEiG0QuwqgG2YJUZoAwEeZ6lMT9SHUGpveTmOfPB0C54x8oL7+LuWI95vf3I/Q0iDigPQ5AQJvCwVSR9+xfl2LbtLe3097ezrZt25BS9msx5PP5Dsq2+Sht0B8VDCYVOYWjVjU+iuvHTjNp7+ogt8jF9mWSlhcT1LitzDlXZ/o8yaqtVhrPLKKp1kqFv/dzZIUDmalCUAevAl0mYnkYoShIYfCMmUtBV5wpW6LwXBAaE0gbvf1tPzxjlk4FMi0YX81Deb0b6w4T1QXi+XYsTwSRbhX8KrhUlPdCiA/CmJ/NQY507g6QB2GuD6XDoRMZ2/3jYO1+jvbQaeJJJt4AlI80aNxpxe70MXepRsb7EykmRtfnlqOaFhavH84ml8Gnsp5nU6yBWOBOFpGBueE0PrkujnVmDfOybIgcGw/o73PKX09n6toIydp6lPkjyN7ohISD626pwLgY7J9ay4VTvsM3X7iSh895jWseOY0HTn6Vup4GRokwmtTYrmynVqnFIR1IJDo6FixpSvKeuigRfwR/sLdrQEZGxlHrPQwlVsNAYajY/EBjSNXYSimJxWL9AtlIJILL5cLv91NcXIzf7z+kCXokG/C+glqARqWRhWdLhGsi4ybvTe0FMCaNRHM6QLNglhZi+eczWLrCSFVFunZTigqHrWf0hABFVQEyZk7hE0JwRmcOfz5nMQWlDr7wlV9h6tvhzQLet3WRd4vKgrz1JIYF+Oylv2H95lz8E7YTrn4Ye6INx6sLaKm3ELNXYsluJd+uEGrOZtViH9FQLbbMPU6sZAf3qP+mTtRzmXEZbyhv0CyaCckQa8QapsgpWLDspbQ635zPRrGRkfaRnGY9jTrqeGLeE5T3lFPaWEpLSwvr169n06ZN6exLKgNzLI1nKG3Q/78iFdge6xpb6L/5qCvCaM90gFUgsywYZ/b2lTWUmRhyBupLXciiCELoSCRC1iOWFqFkdGGMyUfVX0eYdejiTBSxBUNMJKF9A6FkYlEsKNGvg+wB8URvj1oMhLkFqZ3Rf0zlRYj2LtSX30WecTKU7V9d/KOMw31n+xJs6+npSQtS1dbWppWXU4Gu3+/HYulP294XFVkIcWIdOArs74B6oMSj4OgztkcDf6akeESYmo0ZlD+2i9NrO3n6X8N4tSqTrqDknRdUgs0aOYWSueeaoEuUJ4KYo5woWyOIugTo9PasHu9h3WqV33RXYsQFi5cvQlkW7v2OGRoyS0HUJpCFFuQ4JzTraD+vh7gkUiXQPWCvToJfg2IbxlXZyAU+lGfaAdnbCghQnmpHrA5j3JAHeQN3IAVDa988kbHdPw7kXw+EbVaNM6kaZxKLQNV4kzalmSWJApzD1lI/rIVh/1nAZuHh3L+cy8VCp/PSV5i7tgjl2scIFyX45s2TUDunsPa6rSz97RKuWb+OO77oRm8rxNQtJKWXZqMFqWQiTNAWhlA2RpBBg+4lNixLh7PdUEkuyKBw9RVcfMcEykp8jFh9C+8qi3jppN9R/K8vUdE8jQsutlI2qR2j3WBd5zo6OjowDCOt1J+Xl0d3dzc1NTWsXr0at9tNRkYGmZm9ge6e+8j/bxhKNj/QGPDA1mazHXKNrZSScDjcr4dsIpFICz1VVlbi8/mOaAIO5MnycHM4FoeFgtMLkOxuadEgGvBLP06ciO5wL3Vx606U9dUoqzZhlmQR/N4XyMrdrZJq9c7jW79/H0MZ2ztO4wMyLY/y4zviSCWfXduT2O3FqBMlQg2yOm8Rc8UfqN0KW9YORzej1H3/cww3ujlj0WQqb46jK91YL3yXna4Obp50BpZ1Lmw8icNtxxS7X7HQl6Loz9Jjb0UX3SzkcTQ0PmV8ioRIcL9yP+/KdznXPJcKKtLXGRgECBAhwlKxlHnMw4ePhEjQ7e6moqKC2tpaJk6ciBCC9vZ2gsEgW7duRQixV6A7mCexx8tYP64LxJEgpah6VJTiI8Cen6ef40e0JBGNSczRjt2/aEi0Zzqx/KYBNEHnbaNJyEyUTT4st2dgcSYxHpYobEWKPAxtAbq4FHBCqr5cSnjNC0oPzFNAhBDoSHUkpnZev3HJi05FV1XEunXIomNb73Ms7eFo+9j2VV4uKSnpdwLf0dHBhg0biEajeL3efnW6JzK2A4+hTkUeiOuFENgdJskiO44O0Mos1G5TqNkisFgEV4t6Tl7WQqKmHKY6waFCgQUz24v6aBDpVRARA7EkRNlkL1OXdFKphnsFpAyQTiBuQkjvbQkUNtG/lIf6TAdiYxgSoLsU9ICKDGjI8U6MP1dAcxLlv60QNzHP9CPHunoH3JaEhITw4Ii+DBUb2jNj+3HMlB0pUlTkfa3rA2GbKdidMO+aTv758uMYpZK2K5dw0vdPwbqlBO+cNWRENKQK3qdOQYSsfHnzBLad+QFxNYxN9FD59Fu8uGwOtyWqqFjbyJUsR9XauJnvE/qrjTnRMCGrnViOl10fJBmntPF4ZzEZp72GyGjnCctm/rbzFKRyEvnDOgkn7FispzJ95HSql7tYkZBEdzZxyU1b0oHssGHD8Hq96XmjaRoFBb0ij4lEIs0M2rJlC+FwGK/Xmw5yA4HAXoKyH3ecCGwPAweiIpumSU9PT7/WO6Zp4vP58Pv95OfnHxL17FAwkIGtBQvDzeH9/i185x+Jb3mfN355Lue3z8d650MEx0zlfc/pTBuv0n52Bs0ZrVR9+F20J15FWbmZxFevxcjsVVzF3IUa+wnC7GTl6q/R0VzPfbefi6IqONw2OqPdXHHLH7n9vzoVCyZyxVeiPGP/K9WTV7J40yTy9PN57rmttP34LjqfHI3DLOD++wq55eZaRk/YSUtTKZml3t1l9TJCh2zmC/GxKOZqmjUrWcrZnG2ezWqxmr8rf+c15TV0oXOLcQsA74n3+LXya+zCztXG1cREjCyy0ND4ivEVnPRmo1NZk9S7hN73HQqF+lENgX41dX0XooHAx9lYPyroq4p8pIHtkWZ6+8Grkrx57+yo+koXln+0ogRjyKJOJvgewGEGsfz5GkSLFeOarVj/z4PS+Anid1uQeRUgEyA1oLdmXXnyNcT9jVBejD7rc+B3fFhf69qLKij0hain/hUWhFHEUkT3j3t/IE3ABPHx2VAH0vb2pUwei8XSgW51dTU9PT0IIaipqSEajZKRkYHD4TjInU/gYBjsPrYwMBnbo13vi4cnaPt6Nnf800tXZxJhCdHVZmPszA4KtnaiRyVL/5Wg+EoXxq9KQIL687rdvWuTgAnuld38IbAZ8zQvcqEFEUwi4gAmMvbhmLsMLP9XAxET8eG/2RpNghfbCCzIRY5wgk1Bea0T5Y8NvUrKM9zI+jh0mZjXZfd+Xs7AZ5qGUvC4rwOyE3t6L1K6FYZh7JOlMpBKtwG7lU/+czieDTbqlhQj6xQMxcTostAQaCc8uhFXeTXD/jsCa3gDla/HaS14G2vPB7RrAd774FIaZSFraMXkKaabDWyVGSQjdpaiYCVKbGUrurCje3aidBbijFnwdmcS8G3B4p5Ij0viHt9KfI2LhG4Qao0yakqMvCLB2VdaGDtl7iH5j1arlby8PPLyev2BWCyWTsCsX7+eeDyOz+dLl8r4/f6PPRX+o+ArH+m6NKhUZMMw0orFnZ2ddHd3I4RI089KSkoGLYM3aC+sqwft9cV4VtYR0aGkPYBSXYtS20BDXQ5PJwNs22VQvW4igYIdTFn5X6zheK8z3N6J0tyGmenDMAzQG7EIF13hMfzwS5eRiCWxWEEIC031JsmeAA9+9du0BvMxX9Q48wqNz8/5FO/+cSJLXsnmhWAGbo+gOVCKeudVRCJezMp6Hr9jB47sL1NTV8iVNwnmntUEUqHNeJxf2tfiYSu3RYvxMJtK8zQAFsgFZBgZVCvVjJW92eRuuvmX8i+WKEuwY+cr8ivMkrPSj2Kxspi3xdt8yfzSfvuq+Xw+fD4fZWVlSCn7Bbo1NTWYppkOclM1dUczHz4KxvpxRqrdz1Cosd0fZKkNmalh3LgSMf0DFG8r4mefgbWVmOM7SZ5dhf33XdBjYP36FkT2H5HfjyDuuhqaKjFuXY762mpktAr9M+NRnI8jzTOQam/tvTA2oCSfxbRcilQrEeZ2kN2IeBxp89Kb0pGosa8hZCu648+H1WrngOgMof75X8jyYZhXn3dMHdZjYXt2u538/Hzy83tV0BOJBG+//TaapvVTXs7KymLChAmDOpaPM1ICcHviePagHah7GIZBV1cXkUiEnTt3Eu6pxhDDEYqPqjEqoyfAnPMhIiW3/6CA+ibwvrScsgofHlcmuef7UX+7CxEyepWOIxIhwZztQdoVlPYk6CBVwKEgIh8GGzqI2gTI3myuHOMiNCZJvFTFHOVH/UsTLA1hnO9HedIKXTpEDJQ3upEltl7q8yAEtTC09s0TVOT9I6U8H4/H92IyDgQVuS80oVHamIXSGsf3eg5hn8DqqCZ30SIki3i6xMqYD0qR8UeBVixdkN+VQNBNcVcL53tfpD3kx2WaTGE1E8yV/JDbSCp2Rvp7kEYH1kgXTbZiRvobmZx4jYjdj1ZkY8sEL5mnfYn60a20rL2F9T8Ygei2celjNj55uc7YaSZyb13UQ4bdbqegoCCd0Y1EIulAt76+nmQymfZLMzMz8Xq9A/ZchwqGks0PNAY0sO3o6GDLli0Eg0EeeeQR8vPzsVqt+P1+srOzqaqqwuVyHZOHOdCnVyloz72F9b4n0OdNI+eTN5NdVoRRbBD3urBrFcxZqjN8rM7kF+4hp2U7liKBYrUSveU6wj0hWmzQsWIF3d3dBNxrGVlSR3d8ChMmBFnxrodIwkqkB6I9Kqpiw+a04c/qob3bxvZNkk0rM4jH5uN074KiICISIO7sxhl1ItQI9Xqcl7YXU7CljNZ2gwd/18CsWX/CZktiNxuwSSs+ZQJSHYWiv48UTqQ2i2pRzd3q3QyXw7ncvByAfyj/oFW0MtOcSY/oISqi6T59ADFiSCQJEsSVOE/anmSSmLRfpVYhBF6vF6/XS2lpabqmLhgM0tHRkQ50U+IxGRkZhx3oHi/xqI/rAnEk6EtFPp41tntC2bQd7d8vol92Osb0VWivL8fscWF5PhNh5CADKnpxG2boTMy8JpQdMbT3TGSpBX46FtmkIO09aLteh23zEUYRitmOEnkL0+VGCieYu1AS9yFkA0KtRKqVmJZr4KFxqH8SyAv9yBudlOXcg6IvQSoje7PBAzV9wlGIRBGNbel/OpZU5GNtB1arFSEEZWVleL1edF2ns7OTaDR68ItPYL/YX3eDgQxsj2Z/PpyMbeqAPZXp7+7uTgcIfr+fSZPKmTLJyWN/tbBppaBqHGz5IBeLJYdmj0LLTnjqLy7OvHoHK9/rYEx5CxdWgkVXMCc7cTzd01vq0KajLOvpzaoCwgA6TUyfQOlKNbgFKQC/hv6bUrqbahn2mwiWHesgJsEukM0JxPooMtcChTaMCzORDgXl5Q7Mk71QNvD90oeSk3uifdf+kZq3+yr3G3CfN2L0sgasAtWv4C3UEC0vI2QbQsQ47U07zo4WFHQkvVtYagYp0uBiy6tkm9UoGETcLn71+S9w6qLFTNu4jXB2KXarjmVzHcWJWoyYh+IsO4HEOl6bOod/3HAWBczja3Id3z73fHShYJcwtTxJZcDkvISDWhSetESoEEcfzPftyZ4qkQwGg7S3t7Njx470c62vrycvL++Ya8cMBoaSzQ80BjSwvemmm3j99dfJyckhLy+PmTNnYrfbj1vN40CeXm1SNvGG+gYXzppE2dYp6OfPQ1b0qqqiqpgzxlPwx8fJfNlFYMocRoxvpL2hk22fuJS4KmhtrUfTNAIxK/n5+YyurMLT3oXpyKEnqXF99OeMySzmUd+VJDa4UC0Oysp28oWv349nzih+9E8fHREXVdvmUmXfyUu1Thq35ZAoaEe+cgpGQSOF/jZqbXbGjlHJK1vDm6+H6VQ1pNSQ6gg8SxNMCfsxTpmAaZ+KlnwaKXtFLuzGZjQ24qUy/Z0tWBgmh3GNcQ1tShvT5DRqqKGEEhQUrjCv4GzOJkCAt91v847tHbYp2xhvHLgFSd93lKqp6xvopsRjdu7cia7rewW6B6Kqf5yN9aOCgaAiD8Z1yrJ1qCvWI4vywKIiaEUdsxnnKzqm7RkYVoa2qg5z3ij0yxJY7l+DMHIQwXPgKT/GuZnI7z2Gmr0L8yYL4oM21K/bkOdehHnNbCwvP4icsgLKu5HqREztrN5xrUig/hRERwKxMYlA4g/XQtsw9GE/BWUAxaQKczC+ch24j10PzBSOl+31rbHVNI2srKxeRswJHDEGUzwKBu6wZV9jSfUX7+zsTAeymqYRCATIz89n1KhROBwO1q5di8/nw+FwYLFIOtugp0thWqCLygfqWD8+l23lWdRs1ti62sUXvz+C919QqKkvZft9tUT0IDm/D1KWsCJWRUn71wqg9bYMwgDhUCBmgEEvhdmjINoNLOduoNyUKFEQwkA6BAgFZXEITAl2BeP7ReBSEY+2ot7bjLKoG/2uClAH1s6G0r55omZ+/0hlaffFphjojC0uleQNOdCpgw0s//klIlwHzm5QJfaQgBmVmG2dRH2jcL37PgKQigCfm4xhArWtdx1++qKzuOcLV/HcefN58+vfw6L3EDEM3E4NRQiM/Eyyv/UJXKEYs4oKmFCazWmaZHy3A10oIGCM0LkoQ+c9qbIKBQl0SAEDENj2hRACt9uN2+1Oaz2EQiHee+89Ojs72blzJ4qipLO5mZmZOJ3Oj9ycHUo2fyAciRDkgAa2Dz74IA899BB///vfWbBgwUDe+rAx0C+sTbQREiGaKqwU/vimfj8zTQg2S7Y/F+axDSfh/XGEcfPPpeL0BuwFmeTl5VEWCPRrS2T548Noy9djfuUrtKtz+PHKBOMKtjL5jiRrv9JE85Yszr36P8yYv5AtbZLov75CZ5ufSWe/w4zmZbzUciGJS5ZgPXspnvxayt+4gD+eeykvPq8xcUaIe/5XTf2nn0Ce3MjSrj9REFBwNCZ5fMq9NDq3MFHMpoobEHIbwlhJiRHlz92TUdzz07Pii+YXSZDAjh1MeF55nmfEM1xqXsqp8lSeUJ4gU2ayQC6gNFRKIB5gon3iET/jfYnHhMPhNHW5rq6OZDKZVknNyMjA7/f3C3Q/Ksb6ccZAiEcNxnX6hQuQOZkYM8aDV0e76A6EK8aO8AJyHJOwTp6LsmUHxrRKjAkq6qLHUU59Fnaehlw2n8Tnc1Hy54LugPPmosq/oTw2AdStqP8uQvxxFsI7Bf2BdsxJ0xHGu0hlPMQciISJLLJifDYX388a0JZ/HTlGg9+OghQLOWIg6hLI4fZejlW3jljSg5zlAZcKTQnwquA8iAZBbmb6f6WUSHqFVbU9zCImoV4KyoQcED/5eNneiQzPwCNlw3tioLJCR3vw3HeepdpGpdp8dHV1oWkafr+f3Nzc/bYEhN2B8RtPaUgpOP2yJLH347iTSXJ2dbOiJhcpIRGHLasFE2ZIlOUxNrwwjC5HBede1Yl8bxOi08A0QRgffiezDwnDEBjzfKhvd/dmwIbbEcsivS3mLR9SlgVgFeBVEXEJeVZkiQ2xPoJoSiKWhJAayFa9N9DItCA2RqDHQE51D0oLoOOFE/a8fxwsYzugga0Q6J/O7pWV2NWE9R/NiFgcWWlBtCawNMcwW9rgZBXHhkaEpoJhYhbmYk4dgyzKQ67bihSCOavWcMb7S5m7cjWdlUUkzjsFe0UJusWKUBWU1g4cJ0/CFIJc4K8f0h5qkWQkY0Stdn6nJtAETMDgRiVJqTCZqgyOkFr/xyDSVOSxY8dit9v36sdusVjSQlSZmZkfCZ2Hj7OvPKCBrcViOSxV5MHEQBv5TGMmZWYZ+bK3tou2JOG2btocPTzzTxvLXvMx76TRjCmJsW7nMJYtKsSwbaL5vRLOu8pKYWF/A5S5mQhNg0AhkeY1mJ5S4pWVLL9Gp0uxMXL2GqbMfQeWSCocrzB+9Hw2rBtF6MKnWLtjNuXu92n9oATjB7O48q73GJEzmrt/5uWNlY04ntmEr7qErNWfRnnIzd3xXAp+9Ut6rlhITNiQ6i626c9RpXwaJfoAi9VuVgSHcfVzDnyjBfJkA2QrChnY2dXbB1doZMksHMJBFlk00MAryitYpIX5xnwshoXzk+fjtrn38fSODH1PzoqLi9MqqalAt76+nkQigd/vT9dDGIbxsTXWjwqOZ43tAeF1Y5x5cu/vylZM9whAwTN/K7ZAM6bzfCjpwW58kaTzsxgLpqKULMG86n3i3vNARtFuyEMJnYPxQDay80Kkuw06SjAvL0I8H0YYEumag2K+jZK8B6nOwcz+EuYUF2JXEu0HtTh6ksSVTMyzqyCwewlWf1iL8kYX+ncKkVdkozzcivp4EOOT2ZineNG+XAMFVvT7Kvf9/WrjiB4DObp/tvY/wsbmuMp3rAY5ffzFN3SFJabgfM1kqnr0a+XxEqDZV4bnxBpwdNhfW5GB2leP5j6pQBZg9erVdHd3o6oqgUCA7Oxshg8ffkgZlL4/d3kkmbmSsVNN3mnKpMtiZUW3G30LWB2SjBzoagf/zh5mv7CdHqmyYnYhOfduR5Tb0T+Ti7ksjPXfzYjeBgnEAqBbDQyvgfsdHaK9QayojvcGsYbEdIMaApEEmZCYs7yIXQmImCBBeb0Lc5QD4dYwS2woNTGUVzowP5GNcl8z6BKjyHbU7X+GkpO751hOtO7aDVVVUVX12FCRAZJJ1A82YJYUEP/W57D+/kFEdw/JLAuiuxVR4kFJtmCOy0C3TyFWWkjD9efRrkJnSytVO2vR3E4SF5/KL8sK8cwbg3DYwbU78JOAMaJsnx/vFfDQmrc5+aRZKB9OAZ+A72vHL8ZQFCUtgFpRUYFhGHR2dqbrc9evX4/D4ejXWuhoe+gOBoaSzQ80BkU86uMY2KpSxRvyUt9RT0d7Ozl3RVGTEP60k8ysUrw+LxPOmcG4GSb3/NSCnoDGkJN31rpoKRT8dloMVcByQyGIYN4nzkZcfR5CVcks+jZfe6yVqD6H9ZefhcfaQ7A6k7tu+zYZepL3V5+E1W/ByG0kXFLCq/OWs3Uh6M9ciZnVzsPPdVD47DCi4RBmXjtZExZzRWMmK51Xs2KNHzK7uNj6DjsSG/ie08AtLRTrYYTYQVhu42VLlE2+MDk5eVxisyGM11H015CiAGHWY1rOQWoLmCFnMMOYAYBEco1xDRlkIBjgk8L9oK9KalFREVJKotFoOtBdt24dsVgMq9XK5s2b/7+VcT/e6NvH9lgGtnDowZUU2cStvwWpkjS/jCk9gAUh20EmEcRJ3nAhujkNqWRj178OehK6vw1xDRI6yuwHoL4E/fwrkeMLMF5ZA60qyp0tyOGl4DofWTkOOdWBcU0O2i93QXuSns95qC4JMuGybIibaDdV944JHVEfR32qHf2KbORUN3JlD8ozQcSyEKI5gVnaZ4OUsjejW2GHDA3tS9Wgg/63Sije/XsrsLDeELxrCC5Wdj+fEkVSLyF/AKlcx3qj3LM1yPEcy8cJgykedbj3SXVTSNXIdnV1pd9tZmYmw4cPP2ztji66WOpbyhRlCkUUcfKZBok4LHxe47RLTZYv9GGvFlz/dZ2uTkHtFoXH/6ZSlWdnot1CuMrF5dU7sLQliGS7Cf+sBWImXs2CnSRCgr0DQMWMAPHePdNQJEqnRHcLyFTR6j6sY7SAUBXE5mjv4ZhHBYeC8lQQ5VUF8yQP6oowskNHeaYd86oczLMDiKaB8bWGkpN7gop8YOzv0GnAqciAsmEb6tNvIiaOQL/yHOLDixH1zYTKC1i9aQPjp05Cee7fKG/W0FqSQ/WFM/GZSQK+D9vvzDvlqLPvipTpoPZ4Y1/zUlXVNCUZemniHR0dBINBtm/fPmR76A4lmx9oDLjHvz8K07HG0W7AKRpsajPt7OxESpnODmadnI2jRyVneg6jT1E44/ok/7NaWPi0xrolKtNmG7RdBJHRJk0zFXaZsFRqbDAFxULyEgojUBkPLFZvYEXeZpZ+7kz8nm5G/GQVS687jZ0bx+D2SqKGihKGYWYR8j83Yytdh9e6GnWYSeNFT5N85SQ6Qgahk19GjyuYj3+epcM1fIVe/HVw8mX1jMn3oMXH4VeWk5AQtZ7Ce+YqwmodPlmC3ZvNU5dEqDB2MlG3gFRAyQYRBpG/9/NFME/O2+uZH0sIIfoV/QNs2LCBUChEIpFgw4YNxGIxvF5vmro8GIHuUGqVMBRwvMSjDvs6kQkCNtffwCjPKAIk0IznAAu6OA2r8WtUuYY4twBxpGoj8dcE1vi/EP4LkG4VvrYW6fgsyHbUxG1Qm4NYegPyXYFgEopbwXwJ5Kl+zMU9yFO89MzSCW8L9o4hZiIWhxBNCczRi5FVZZhX96orR8d5qBknGffjjagayHIblO8OWMWiENqttZjldp6+o4JTahL44ia4FKIS1puCqBD88Kc1tNabJP5UDpm7acxjVMmYAcjUpnA8Nsqj7Z17AvvGYLb7Odh9UjVtqRrZzs7OdDeFzMxMKisrsdvtvP322xQUFBzUSYwRQyBoFI08qz3LqcaptIgWFmYuRCQEE5kIQCQkiMXA5oCZp0pyhkHNRoE0BQ07BT3dcFFoJw6/pOzRPNZdA6ozwUulxVy/bh1SEdx1xji+umod6ofqxwBKKP2tUS0C0wooYKnpPTiIWwXSI9Cv8GDLcaO+041YFYZ2HYJJZERFfBDuzeI6FMyTemmR8jQ/yo9rUVfuwvhWYS/7w3pkQcRQ2sNOUJH3j75dB/b1s4HO2JoVRRhzp2CO6O1q0V05jB49juP2ByhwWVmW4SNr1EmUtjjJmD2ZuXNPGtB391Fc1zVNIzs7m+zsbGDo9tD9qAS2RzLGExnbD5GiufYNZFM9dgOBAKWlpbjd7g9PxWDpdQo+JKNX9yAzNZJFdkIm1I0HYwIUzjUJrzORMww2Z2r819BYIjSsSEqlwYOmldFJ+KSUDLeU86ReSaRTJWlmoWSeh2pXscZh0hyD3Bt1XL4mTrf9gu9+9jskF0/iE8+Oo32SQsO07bx+1kJii8djPjcf67Zy4h1+Vvrb8Cs70BN5PHvqj7nXs4wr4qXcGlOJxOxsjcBrpf8gaE9wPpM4Q07mfV6hJ/Egt1qbmaSM4NLEEnTbV0EpP6TnNxSMRFVVPB4Po0ePBkhndDs6Oti4cSORSGSvQHcgTs+GwncfKhgI8agjwZF/ngLE0fSnUOVyTHKx6j8GNCQqqnwXIYMY6iWonmoU50owcjDsv6W3mM4C0kCKChibxPymivA8injeiRgTBjkSsu0Yd35It2pu3v3hPg3zvAyUV9rArmOe1oZ5fm/RbU8XtEQsRLJsOIs05Hwf5jm72wLJUhsyx4I+083TCUFhvo1MAcU2hdcNhWd0hWHeLE7dEKUrofC7Vkm1R6Eb+IzFxD7AU/Z4rAH7ag0ipRxSjvpHEVarddAFalL3SYkG9t17U4FsIBCgvLwct9vd7x2nxMEONpYYMR7XHkdBwSu9bFe2UyJLmGHMYEbnDHKtuUSIsF3ZznsXvoDRcDkbVozggmslzXXwyuMaRSMkFZNMEhEYXdOFzQClWSe/NkSsXVJYEUf3aITiKrt0hSmPTWT0jij/fL8F7c7m3Z0ErL1KyWocVBeAQAKWJJgdEh4OooY7SPoFZKhowQQiy4rM1VA2RpHDHchpHrCCcmcD5g15yBwLwpAoj7Uh6hIYXy2A/MOjJQ+1w6E9M7YnbLk/LBbLMamxlVISVqBzfHmvXS7agWEYZJmCcrsd3Wll7twP+8jOnztgn7uvcXyUcSg9dFMCqceqh+5Qs/mBxoAHtjabDV3Xj3ugc7DTqxSNte9mqut6OpAtLi7eb4/dJgTPmBq2Lp1f/KYRwib5/yjn2gBsKhVs+rVky2KFV+8rxvKaRvIuQS0KfiQ7EOxEMFKYjBaC5wyFckUyzyLZ8Q+T7h5wrRSYKuRVmPziwZvZ2K2x8NkfoM/QOPe7L6P6Pk1zYDmvzFjIWaHryBrxQ3au03E3DMNT0Unr3H+z+ow3yf/ez3F36iRvupXMv1STKAoj4/k4m8p4ofQ2skw7X4sXMVY7i7g2iwwS3G39FjtUnRZF45LEOAZhigwq9px3DoeDwsJCCgsLgd2LSnt7O5s3b06fnvXtpZsSaDiBI8NAUZEPdw05mvXGpT6K1XwcSRamqEKVa9DV84ipt6EZjyBkIxInunIuiACKdRxK4t9AJ1I7BamOQ8idQAJ56msoyYUwKYFUJ3EwGzJ+UdLrkPrHgW333MvMhVHXOtAvGcVLSy10Sw17qWSUKckQsL7AzpR/j8Am4IuG4PmHRpKNpNyuMVxIRikSfyxM+M5R3B1ykSiy8Z4JFiAoofBjENgeiIp8AkeOwayxTdl2U1MTO3bs2IsNVVZWdtB2Goc6zwSCrcpWGkQDY8wxTNen0ygauc3yY/KVfKrd1fzT/k/KzDI2OLeTkTeGRHwEALXbBck4rLhJ4PWYXPNCLU8480hO8/KZbDu+bIERkVRLN2JBGds7bVzZXM3T6giWVrlouc+kQKW3py2AT0NW2lDeD0P4w2dhBZJgomDr/lBDqh3iNoMoBkpLAqVNxdoBYnkP5mVZiJ1xMCREDMwb88CUKHc19SopJwdGkOt44kTG9sDYX/LoaA+dUizFvkwJwzDSPnFRURFerxdFUYhOm0ztsmVUDPJ7GipzciBxJD10B9oeTgS2h4mhnLHdM5BNJBJpoy0sLNxvz9RaKfBJyaumxnYp8CIJCEmBG26/IIfKlgRTekxyMyS5msQ0BPfnKuhZkDkjThY2fBGY1G6wcZjGB6jcr8RwWSy8aQgqFcmLhiDugYQHAq6VFFwWZ8SsDhY+qrFi3SxeeimT5dO+wp1//AyaLZ9fW99lV+wDHrvoC4jQA7gaFETcRuSOW+k+/VGSppvav3+B0p/9GPeGeUy645uUXv4gj5/yAVZ/Ix1KO7NbJlOlqqxyPMCvbH8lT6+mUKq4jUwuFt/FsM8FcWhF78f7IONQx7HnohKLxejo6OhHE/F4POmFJSMj40Sge5gYCPEoOPw5dTSBdNKswBSVJLWrMMQMVLkUQ5kKQkHQgxQ5CJIg7BjKqajmO6jJPyFkE6bxBrrzCUx1AULuxLRcDcpwTDEV1GwU/RWEsRrDdiOIfTjsitin+IsQkFMIzfU2nnpUpS4P9FMUpuVKioXk37rCKark+1aDqapkbJ7CLTGNh+KC8zSDb1kNXov2YOZZcBY5KDPBjcQlBIUKvJRUaJJwlcXE9hFVRf64b9DHCwOpity3rKezszN9iNzd3U12dnY/NtShou8acSAoKGTLbEKEaBEtvGF5gzbRhqvbTuXmPHZM7qBNtCEViSElwqqjh0BHJ69ExeVTaNMEgZ/FmBNqR7rglW8U8I2vKuRPH03hySYZa6NIl8Q7yUb5EpVHP72B2jwrU+8YySXLcvn9DeuxxCW06ZgXZsCGGHT1ZpxNG+zK1ugOORn7oSCW0MAWUVGHuxEdcQgmMRVIWnRid1WTGG5BnhnA4dBxoKH8pQnRlMC4OR+KDl+kZqjZ0FDxJYYqDpSxPRzbPJxAdi9oGscqj3ooe/qb6ps0ikYu0y/DykfLXztYD10pJYFAIF3Huyd75Ugw1Gz+QBgyVOShUmOr6zqNjY1pw43H4+nsXH5+/kF7ogJsk4K7DCs+JB+YgjVoBJDMR2eFsPDuxfm4Tcl5Fp0fmgl2ofCsobLGK8j5foRcvySGjQ++p7G6WpL5C4ljfG/rrXcNQY4iGa1KXtUFlUAtcLb7EU753ju88u/L+NVtt6HZrVhPF7hn7uS+n36BCy/VuGHGp9mRnEQNPowaUAwd7AlabQ1ki9F4b/099eIlNv3hekZ+7VnWrBnFW49+CnXBVipX30PN5FzeslUzvfsJ3jVWoqgNuA0rmUo2/3OHqZf382J4PCNpYgrV3C3n8GnxCifbTgWlf83tUKKKHO5pr91uJz8/n/z83u8Uj8fTgW51dTU9PT3pwv9UsLunwt0J1cb+6EtFPtIaWziyeXWkc9Eq1gARTGUMCB8Gp394QxNh1iDJpD0yn2D7VkTyNfICz+KyJ1G0eSiWC8FswoxcgHr7oyjT18OZ9Wj6n5HqXJTkf0FkYGpzkNpJhzSekIQdpmCMIkkmodsNuhNmJCRnaL2KqR1SsMKEFgm5AuwCLrQYNCRU6qQgCXRrFp7ATpcJDgHNUsGGxJTwqiGIAfMllAxQYHussS8q8gkcPVI2vCcO5fBoX2U9fR3m4uJi1q1bR0VFBYFA4KjG2W8sUvb2iU31roqb2F8PE5zWQNOwRj6x62Lq8mppsDQwKTyWws5cthvNXNB4Fh2OLkzTh9I6AUtVkNvUO2mZH8P2+9uZcbdCUnHwWOYw8m+2sPCXCu99QcEsF+QHTZ765xaUiOC+2GiWfH4E43+xkXoB1oRBXbkNM8sKu+K9bVP+04ossSI+DGx1KbDFRTqoBTCzVWoyffi3RfC7FUSJE1ETQ7WraEIl2iPZGQnS+OQORj7nxNNlRS13oWomR1JUM9Sc3BPiUfuHEOKIywSOKpDdx2el7jmY7+pQ7/2E9gRREWWGMYMKWTFo4xls7KuHbnd3N+3t7bS1tbF161YURenXWuhIeugONZsfaAyKeNTxytimgpLOzk5aWlrQdZ1oNEogEGDEiBF79Tw9FPgBD5I8TLqxYEFymmIwEhOLFLQoJjZFkovkXtPCSqmyGYVupyRfheti7dyDh26/SXabwaj2JOdoKsGoyaNWFUOB6XaDKkXyLyGwSpOXxOeoi4xg8R/PJmmomBM1Lpy9mLfeLmfHu2MoHPc3ri79JBPuvJ/EnwRdt3fRtshAWBIkWjWalyl4ny4jy38REy/aQoW9kXfUElo/8yiXmSXEpm2l1TGCFtsb/Nf7OnOTLpZabEyJTOQZOYyQdSG+TpXt6jbaRRe5aiM9tFMnIgizGqnsLSYFQ8NIjnahtdls/eohEolEOtBNKdy5XK5+NbonMrr9MVA1tod77dF8nlXZjJBhhGxFisK0c97ZUUeeczGGrrN261qK8nZQmvcwmhKkJ1rM++svxeuOMqHicixLvWhv+hFbdiDP8AA6iv4sCAeG5XykOi39mQcb51+TKisMwY1Wg6k5kpXfUGjLFlRmGKjAiB7JRWGTVh94+lx3piYxMHg4qfCjuEooq5CdWCgRMFGRZAuTHqBJwtUWA4mgeA9zWagL2hBcqJp79b49EE5kbD8+OBzxqLSt9HGYU2U9fr9/nw7z0dIm97VGKO/3oOxMoJ/pgwwNYhLRrWPrUMCaoOvVbVzvPpdHL3ORnz2MP5z/T2qc2/nkmouYEZpO+wydd77+Q5YrHbSKViLOyyi/KUrlG06+ea9BMpHB33+t0tMMGV5JfSVsKlR4cUwGxSt1AmM0OloFi6YWM3xRI7/89i5OqwtCyMAEFEDpkZg7e5+rAF6fFcAal3iXdmGPmkgNRIdJUUsHii4RMQURMxA9JtIUqHk27N8tYcQsLyNur8dsCtIx0aRuQidNK9/Gs93TT331UERphtLBNOx9OH3i4Lg/9seK3NM2DxbIHqjc7mA4UlbVkeBQ5ucNyRtoES2UyX23DfqoQgiBz+fD5/NRVlaGaZr9euhu3LgRq9V62D10P+775qDU2B6rjG0ikUgbbUdHB5FIJE0jzczMRErJ2LFjj+ozMoXkNi1B2ISFpkoRgq+LOBcbDnaiMBETJ5IXpcZUqbMBwQ4EVqvgEqWOxzMKeAEN8T3JtFM6OWuEhtas84M2DbcRpmesixtiGj1IdknIQpCvVvH8VSNwhboYNmEruzaO4om3J+D2dzH7queYPe9JkrogJ2c98TfPI7TMCnoUpSSEY0IS72fuwBBwyanL2fD1r7Cm0UMgv4XZpsn5xmoezGjlVKOYqTzGi5ZOFmp5NFvidObozAn/ivZkNVeSoCf5KqFwFm2h7cxSNjDN7qfFW0kgoPfbMIfSxjjQp71Wq5Xc3Fxyc3OB3XMuGAxSU1PD6tWr8fl8zJ49e8A+86OOgaixhSMLbI8EQgiC8R/h1kK0NeXQ0bGejo6OtHOuZP8Qn8/FKdM/QMg2BGMR1lNw+c5iXk42XR2bQVpoq3Iiv9FDYNJamht+gtd/IV6PikozUuSgJP+FabnyoOOJS8hAkgEME5LOVvCYkg4LfCAUQnWCytslr16kYB0u2egQTEEiJeyUEJOCFimoMQVjFJXzSPKOtLHQVLAgCZuCp3XIFpKfWA3uTSoMVyTztN57PKkrxIFpCnsFvYP1Do4UKcdqX31sP66b9rHAgbJCpmmmM7Kp/VfX9TQb6kBlPSkMRK1u6v2KhgRoAhGXvVlRU35Y06qy6bRWdmzbirshSYdsINtayO/iv8MRsVJXs5m6Mdt5Jf8Nnh/1Fi7VjUXXaLK2YDE9xHZ+mVXD3FjHSH7aomL9IzSsF0R7oOoug11jVEQcHoyWc/bYTm5eupntBYWsGuMlOtNBxnPVhC4fycaHw8zqbiL1NGJ2jVabhaL2MKcs6kSRUJ9rpbI+RkeWhqPLRDMlHTYLXWP8lAe7oB1Et0SsjKB9pxbjU9lodzeDTSH7/FxyFsdJXD6SlvJeBdZNmzYRjUbT6qspUZoDHewPFXs5kbE9MA7UeUTXderr6wc8kN0fBtv3O9R5MMYcwxjGDOpYhgIO1EO3rq7ukHvoDiWffTDwkaIiJ5PJfoFsOBzG7XanX7Lf708r3O7YsYNwODxgnx0X4BACgcRTU8eE3CJabS4E0IRCB4JVQiMkBUkECpK8uiYe9BWiSxBWwaKZThpDIWJOH9XZKlUdEep74oScVgyhoCCxhMJUNe5ig3U4wu9lxs1lLPy1DaNqO8boGFv+r4gvN/+XMexk4QtzSW5Vke0uFLsNr8XDXWX38+TlGjUbd/DKsny6drkRlz5J1elvEpv5CmtXziBWIrjNvYHnjRtpt72EU78eoT5OgAz85jJU8yR87p0UK1+CrHquttyBpr/CaRvvYMOGzcRia9KtFzIzM/F4enNGQ2EzGmzhCavVSk5ODjk5OUDvnAyFQge56v8vpDK2A1Fje7jXHc41qWx8LBZjw6ZGkskkHo9ORkYGBQUF/Z1z2YmWuBWAqPU/WK15YNZj4X0ys2YDr5CTrULhV5CJFpKtQVas8mIYBp6sHIYX/ZwsaxNClACj9zumdYbgpwmVmISv2wyswL0ZKpdvl2RuNeicLHhyh0Jrj+Ck9QaVoyAmYYkuEMBfdJVxQvJrm0G9Kehoa8BRVsx1Wm8dbVLCY6aCIiFH6aU7v2oobDAl8zQDIeBzFpN2oOgwzfl4qSKfEJoZePR1nqWUaS2ClpYWEokES5YsSWdkCwoK8Hq9h8WGGqh5InsM1LfDoCjoF/pBl+D6cBxRk4wdTgJdHkavqWJm5VhyTj4dT8KF+mALs+IjaWAnbTndbLHXkdttcsaqWbwzJkKmGSDnRYWuZsm6UwVr4oKz80xKpc6awGbqT9Mx4xNxSEHF2QYjG4KoT/VQVdPO+nIvBb+/nZLtc4m+UU2bPZO4qqIZBg9+Ipf2gMZNf92FKcCVMBE6DN8RA+CeK/MJO1ROe7GTsnqdoNdBfksPzoAGrfqHaV/QflGPaNGR+RYwQNkYQUtkULjYSv70Shgzhmg0mq7VW7NmzX5FaYZa9uaEeNSBkcrY7pmRTR0wtba2Dlogm8LRlAsdLj7uQdjRYF89dFPiqH176KaC3FQP3Y+76OKgBbYD4eTout7PaHt6enC5XGnlxAO1ahlo6fMMAZcoSZLL1vHCig18M/omv7aoxH1umk6bTV1+DkEp+HNU0mRzYADfmHQS3liMLEMnqamIzhDrVBWbkEwVIYyeXYSTJbgTsNVqJ5EwCEp43e7k2i8/w5X+d9AmnExF3QpCk1S+M/Y2fDeNwfo2BH0V6NUKCEiOksTOFHTPtvIfw2DBjfD8xhfghosxSjw0/XIx9h+dSf1fb2JdSxnjc+uxfPe3PISDwOgAwv4CjXohryVnkqN9n+sT11CWfJdXOInVxrXYNT/DlHaGl/yNMVVfJZyYTjAYJBgMUltbm269UFdXR05OzkEVLQcTx9q5tlgs+Hy+Y/Z5HwUcr4ztwa7Z13qSEmLIz8+npKRk/9Q94Seh/ZDe9j69LXe02NcRshnd9gukNqv391y/QnHUUx6oomw4hEIhfhqFuPwcl7W8gmiIYHfsJKzrLI/pTLBqSAHWD6fs/3SFzabALyRZwApTYYlFMLZCEnhcEPULQgUC28mSK0dLhuVLrm3X2CAUZtsM3IqkWJVM+fDPr+0u3pVWZpsK37IZ/CWh8JqpcJIi+YFN59mEwjpD4FQl3SY8ZihMUCRzj6C/7fGiIg8Vh/zjhI6ODmw2Gy+++CJer5dEIoHX68XpdKIoCnPmzDnssp6+GLCMrUNgVtnBIsCmQCo5ISXqB2HyXlb5bdkvMS72sKZqK6+LtzgnfDavjn+VBytexOZx8pP3b+I3tntQdEGrp4PPvHc5yZxZLJn1X7J+cxobrioi7IRY+U7e+UwR25pLES3gXaWTu1xj+RyFVRcOo1m34rTloJrwRPRUviiCuKNZjKcTI1cS0nsPjlqyrDQMs1FSHycBqCpovVsoZ7zVydd+XMmZz3eybLaDsrouRHMSaZVgB2ETmJ/IRP1rCzIqMad6wCIwx7kQ22IoS0IQMzGvysbhcDBs2LB9itLU1NQAkJGRMeT2r74Z2xOtu3ZDSsn69euJRCL84x//IDs7u19LyszMTKqrq5k0adKgj+VYBbYn1vbDg6Zp/RIv++uhm7J5XdeHdCndkc6vQaEiQ28ma18p8ANB13W6urrSjmcoFMLpdBIIBCgpKTmsesYBDWwTScyFy3ly0lQafNm0nnU6SY+Lh//xMFOffZOCWJzxp52E+v5KKhQrN58yj2ynjW2aSoaAscIgIU0SRpLGWJyTOoJ8taGWP5kWsoqLiFqttCPIMHTO27aNzAwvZ8UfQRQt45VnHdx7xxfILmxk+CNRxmS/ydLO05EJFXUM2C6Q2G6IUx7totWfQ60peEUCf7oW0emk48ZOMjvycSyahjteRcJ0EipX+OHWz9Ew90fYrd1Mj+XzNlcR1kfyb6WCLYziT2Iz/5XnsMlwcFr01/xZ/xMOYzM6zrSKW1FREVJKurq6WLx4MR0dHdTU1KSL21N/HA7HMVugTji6xx+pOvtjLR61p82n6lFS60l3dzc2m42MjIx+68myZcvweDwHrUcTdKOYH2Aok4FMTPVUFOMdpPKhWIUMoybux1SngBiOALweD+dbXuC/sgSn/3eU+tupra3lRX8e77eG0VSVToeT7xPlCp+DczXBJlNwnWYwWpW4TMm1Gkx0mNSXKpzkNijPkLxbKnhpg6B0iyBSAlqhRA3A3VkGSp/pL6XJcAzO1mCtIXAjKVAkkz4MXA0h0QU0ScFKU/CSrlCjSKaqxmE9+97POj4Z2xP2PrB48sknueGGG8jOzqa7u5sZM2akhRZ7enpoaWk5qqAWBi6wlQLMKe7+P4jG0J56A9Hugq5SSJjICjv/6r6fXfUb8bW388j812kyOsg2NJIBwQXbT+fJsS+TsdXDuPfO5dNfKSSkljCy6k1M5ykkZAlvNUr0aBeG3YqgCc97reREZtOZbZAs3sKrN7zBN9tuIrvM5LSRFzL7+59k4lawWcqRnUFi8gMueuFMzlM1/J06AtAV+PdluVz6XBueHoOpq0K8dtFKXlsQ4BdfLaGsLsr/rl+PSAB2gfRoyCon5kw3ytvdCCFhQwShg3FhAAqsmNPd+3xW+xKlCQaDtLa2AvD222+ns7kpUZrjgRN7+L6RSCSYP38+UkpGjx7NyJEjycrKSmfdjiVzbChmbE3TTB+EmKaJaZpomoaiKP/flqbsr4duS0sLAG+++eYx76F7uBgyqsjQK+R0sMDWMIy9Alm73Z4WnAgEAocdHKcwkIGtsqkG6+OvMEJx4R9ZTo1mZaffw5rrLqZ4XCVerxPbbXdBsItZV5/DshXvoS1dyy2XnMeikiIuufs+thcV8+9T5+Ns7WBCYxNP5OazxeFhQUszu5qbKa4s41st9VyyaBH67Ml0F1/Hy7YKniw5A9u0LrbKcmKn2Jj243c585Gn+fmSP7DpC3bGeSUXRHsY1bKTtdmZLFsr6GkXZOgq7ULB94Ck5JELyJRJulpNbDkRmqsLcfwQTre5UIwcPMr7uO03Ek/OxR75PdUih/csv+caBD8Wj7DD+jRt+ha2qV041Rh9NedSGybAxIkTUVWVrq4ugsEgDQ0NbNiwAZvNRlZWVtp4jvSdHgpObIrHH1arlXA4fFRte1LXHS4Mw2Dnzp3pGiNN09Iq6OWjy3E5XHu1AzjUsVmMexCyDcOcC5yOaTm1tzeHcIJsR4t+F2EsQihV6NrJvfc2V3Gq8VNOxYYhr0K4g5jDPkNpYwcNGQFqkzqNQuObuoPNKzeQ47SzK7eUF6wKs1TB1+MWVOAMu4k2QlJSADsNyRNlKpoOEz6QNI8WzGiU/KWkf1AblfBKfimZqDyVEPzTUBmjSJ6z6/g//L1xqmSeIjlHM5mqSDIFeOkVmD1cMzoemZUTtMWBx1lnncWTTz7JzTffzCc+8Yl+9jFQ++pA3Wef9+gKQTyJzIxgXJMJvt4g/Mrt57BthYe5sXJ65uZQECykxl3DczMXMid6MlPMqVRt96IaDZR15NOdvYYJY5uIrFpP9zQdo9VF7q/aMC/bQiwygdovVtIWjOPQ7JxpeQlfuIhwSGDGIDkKfvfl7/DXr7Z92J9WR1VG4YiCREfSK+DclaHx6y8VsanCyU9/WYPFBDuSiStDTFvZzYL3O0kgiKsCi1XQUGSnOFcjETJRUdB2Rql2WbntllIutVs5/2J7/2fRmuxtopvTn9nWV5SmoKCAt956i/Hjx9PR0ZHet+12ez9RmsHct/vihE3vGzabjaamJs4++2xmzZqVzsqlcLSCbIeDoZKxTQWwfQ/QhRDp+ZMKdvv+e7o2//9DPzHV7tLv99PU1MScOXPSLI66ujp0XU9n/zMyMgalh+6xwIAHtilq8L7qbA3DoLu7u18GxWq1pgUnAoEAdrt9r+uOBAMZ2JpVxZinzeTbGRbMQjd/NSw8YMAHGZncd+qpfKIzyE35WYiCHPTz56G1tNO6oYb3hxUT9/oodXsZvq2GLK8Nx4r13H3+BXRkZxByuVglJfndPSQk5GT7kZNHIyqK8WRPZPNzs1n1HS9dl4DVJvB/IDATn2PrBjuxfzsI1EHPNZLwCgsvnpfLi0GVjIsFjUmdhEPHGhYIn5MuSuhem4OUCua4Fcw+YzE3h5/nWa2FHWoLKlH8IoxTfY2fNv2Q5/JGk5N4H4f1u9whV9MQS/Af+2yalQ2cJ+JU7OexphaOVHF7ZWUluq6nVYV37NjBmjVr0pz/w1FuPOR3dRxq7v5/PQ3cHzRNS9fYwpEdNhxJW5H29vb0YVlmZibZVdnYXDayyCJChNutt2ORFr6R/AbaHkvfoawVce1HqOZ6DOUkVECL347QF9Krb6ogjHdAeDFsXwUpEcabCH0xyAiGdjFq4m+AQBVnMrUnzldcJkFT4daEYLlmo2f4KK5sqyPUUkdOSwOLpYE+fDIOm5WNK1WqV1mQJlQnBT1ugd0pmZ5hYvEoXFlqYN8jiWYHZrY1UpYd4H/SRgeCZinxi91B671JlYWGYIQCIbW3zdDa3o69h90N8AQV+eMBh8OBz+c7ZFXkI8FAikf1hbJuK+pbyzCmjMGcNBLsu4OxiePPYKJnKuS5OEuHTYlNxJIxdlprqIsW8kXj83z71G/w+qkreXLxKN4fZ6X68c/w5ud/ie4ppf0zHhz/M+gaNQldDkNjF9Fmg7BDQWv/GpYnBT+cqnDVHY1cnOtk5cwAq0cYeKMt6LktZG0YRWWTRABBpwXTopHbHOPdc1ZSXeHAIgF0QFDYofPXr23BcAjiKKimyd1XFvDcmZl8+64mTloYpsOqonxyPRucI9k5xcNij+A8aSAMCZqALh31eztBExi/LQX3gbPsmZmZZGVlAaT37WAwuM99+0BlYEeLEyyM/UNV1QMqlh8JQ+pIcLwytqlAdc+ANeV7qqraL7Dte72UMt2tITX+/58DXSHEXuzLvuUK27dvBxjwHrrHAoOWsU0kEpimuVcg2zeDMnr0aOx2+6A8qAGlIjvsJC49vdegkkksEuyoBDARqMiAF+N7X0S4HNjsNsjwc++XP0Oz1c00YRK69iJ+KhycpZpckZ3JzzP8BK02ejQLuhD47QlyzAQhi4Jx6kxCCG5NWrAJK6oqsIQF1lNMCqNJmldLnv5nPiIG7pdBX6/wQpcXdwH47hWIdjCdIKJW0AXGjS5isyMkb1fIN+souPtHfLk2hK7HeUnN5AP5OVzWB4maSe5eM4L1oVbez7+fbJvguuROMFdilfCm+WU+Y9vF+MQ7mBYvUp2SfjwHes6appGdnU12djawm/MfDAbTyo0+ny8d5AYCgaMKTE84uscfqTr7o9n89me/KRGb9vb2fsrFgUCArKwstm7dypjxY7jHcg8vqy8z0ZzINxPfREOjV16J9H/7ftahwFSmYSq7W/YYlstQEZjaPMCJMLdhaucgtZkIYxla7BsIsw6pFCItk9EtUxCyCyNSBFQDkKnAH2wGS02TUYqK31PKSMCoKqajo4NfBXfR1tbGrqYkpjWXnrjGJJnDSe9nUhSC6y8yudFp8u4rCv9uFlz0aRNPumROMrdtF/PUKqZZVO5JqpyryX6Z2G4JOYpkgirJU+AWq4GD3TW/h4sTVOSPB/bXxzaVFRqIdXZQMraK0ntq43X1C2rTKOutj/+J9fs8XPQwoyOjuOb985heP5GS08owCjVCaoToMA9Zz1zEQl3DFjcRlqfwKJmon3oTXTyEVDQsdRH8oUW05l/JQ4ag5AuCque6uOTlOgLhbnjsHjbl5+IIt/BswQWc2rQWmiYBAldS5/nyHC7Y0Ii/x2D62h6k10R06IANQW9GN2ZXMaRAKIJP/7uJWcu6EYUWnIaODtiEzrkrgnhPibG1GyaYFr7+YgvXT7KjPNKK8k430qMgNkSQ0z17P48+z7Dv+zzYvh2JRPbat4+Wnt53PB/FLNGxwsHa/RwLH+hYBbap75PS7en7+YqipIPZgymw7znmvpTlVKC755+PM/a1b+6vXGGge+geDo70XQxoYJtMJlm+fDn5+fn84he/4NJLL0XTNPx+P7m5uYwcOfKY1VsebWC7r5MhgAYU/o0dD/A9q0mFNNlqWohm+HH3+Vo77E6ypOQTmo7FYgNdxaZA0bQx/Le6gWcskodVB7sQ9LgcnNu2C61mAwuFIJxbwJaCKjynaRSNFjRkh8g7vY2uoI/oKavxBjKIjfSRGCUZWdzBjo1ueqapVD1k0lUuKCmB5nMj1AsruSMa+cmO2/jt+z/C4eziWx3buP+h3zPW/zqll2Sx1Hs9mmIwTDxFWc42/G74lzGKLcbZ/IB5tHh+R7c0mBwuZXhyFYrxOqBi7COwPZT3uifnP6XcGAwGqa+vTys3pk6IvF7vYc2XYx3YnhC32Bt9xaOg15YO1+lJ2W8ymeyXkY3FYumWXqNHj07X/sHuGiMdnWbRjBQSl3RhwUK36OaWxC1YsKCy91iOSKhKW4CuLUj/3bD/ZPfPRDlSKcNUT0FqJyPVBSDU3jYktPT7PFXASXuINamqSlZWVm8GZcQI4lPjBINB2tra6Ap+wFcLeylDj91fiZl0091pw+UCY+9YBICJKtyzj7rZ71sNtkvByUrv5085AtGo9Hc+ThnbE07wwGN/LUWOtLxgX/cZjIytOboCs6IIbHvzDcSuBOqiEMY0N5aRFrKSWZzWdTrX2T8DwwxMj43RYgy72EVrtJlXPA+h+M/m0vox/Iffkpmfy/Z3/odSaUOJGky7o4nSi+7h2bdPpv3CUjY7oGWOi/V/UjlFB3f9eQjPLjpdMTq9Faz4ykQm37gOxVSJ2EMMw0tESKJuC7mqieiA3epXvYGt6JI0l3gIzcpg0iPbmbI2RNjlpz7LSU6RguOJiYjtSU6Z281jo700Zmk8MtHHp7d09i4s+VbItyBakuzvaR/Ku9xXrV5q3167di3JZDLdKSElSHWkdrnneP5/CDQOBwdqxQXHbh0eaIFW2LtONvU5q1atSqv6Hu0hSt/51Debu78gN3XNxw0H+059yxX69tANBoPpHropzZKU3R9KD91jgQENbJcuXcrFF19MIpGgsLCQadOmDXpEvz8crtHty6BS90nRG1RVJUMouBMK+UKiKgp/iGvUSIWAkHzFsnuxudWaZJMpmKeYqAKeVOLcmdT4TMJKeXExK6TCw2qc05IOWlULz+UWc/WwXIp7entSXbNzI0pnO1uyC4kbGpd+7V6q35vIldc8hSPfwcPvn4HteYWs71pY9hsrurAx+wKDkUskby/XSC7MQW4T9FBAxj0GNqmCNcLyhGTjayVsaLuZYWIt2qdMxigvc3u4C4+zldcCEsM2DGv4cmpMkzzTS5aMcZXxXdZr/8cUdTqmNmfA3tP+lBuDwSDbt29HCLGXoMWB5tOJjO3xR4qKfCSnuikBOdM0WbduHZFIJK2EXllZSSAQ2C91PWXzNmzcnLwZM2mSJbNYriznt9bfcrJxMl9NfnW/1w0olEx05//2O87Dhc1mo6CggIKCAqSU9PT0sGZZN6veUwl1hjGSMcZMjxGJJ3DEe+vhDuU7FSpQuF+X9/Aw1KjIJ9aBI8f+2vYNVKZmwMSj9nWPfQS1AKLHgKiJCBl8J/EdTt1+KgWyAHPCbpGk2xK3EVNiPGt7hmenP8rp3l387Jc38eW2Kfz4hw+ywyaxdHZR9Ojb3PPi3/C86CA6Yx0vlGVycjBGXssH/P62MqZ/oxqMQjzxHh6+cDZ3Xz+TL9//Krr6Gha5GmGOpGzXCFwmOCJJTCOGgu1DNklvH14NMEyTzZP9ZF2bzWteO3Oe3op3YQdewGxQEAUa+FTEmjBVmxL4rsgjtzlB4+Iecu8uR/6nFfFiJ7Jy/yVeR/Ie7HY7hYWFFBYWpktCUvv2jh07ME2z3759OBTGEyyMA+NAGVs4dloHA7VvHqhO1uFwMGvWrDQtfu3atcBu2vzR1n4fKJub2luEEOnOH8cqIz7YOJLv0LfMEOjXQ7e2tpZ169YdUg/dY4EBDWxPOukkmpqa8Pv9XHjhhbhcroG8/WHhUIzuQAaV+rMnXz8APG2Nf/i7MFcx6TLEXjkgHxIFgQ6ogEfAMqmSAJpRiEjBO1IlA0kQQQCwCYHf78fv91NqGLS1tSGCXTyVyOfus67HPw+6vj6HD94qwOJSoUSybJYXq4BTQwZb71TpahM48yVl/2dQc7eKGdNwBO6gYWcWyZoCqu/6Ht2eYagWnep5tfzM/DtxfQvC9kV0YxPP2JeQrSQ5x9aAO/Y254XCSGK0sxWfXIhirELITnRtbvq7Hk7G9kDYkwqRorKnTog2bdqE1Wrtt2HuWZP9cVh0PupIZXsOZaNNveMUtTilXAyQm5tLYWHhYSmhp5Als+igg1utt9IluqgX9WxWNmNi0k03LlzsEDsok2UfufkihMDl8vDBWz46mxVKh0uikSRjp3WyclkzinUNXq8n3dvuWNVdHS9V5BMZ24HH/qjIQymwPdxxmMPtyCwLMqBiR5CTzEHuwVCwYMGGjbOUs2n1tnH25DMxvpBHllfld4/9kFUdD9G0ZBzSEmbR8AImrU6yXdi59o3t/PjvndjiW9hSdi+GO4YevpaCpiiffPJVXpx2CnSUE3ZeQNI+kZzmcYiwxAQMGUUxWzCVWmTpKLQaDwJLrwchYNEHNgruSXDDiC5Em86fP1+Ir1vnU/9rxpztxjg1A8tXtnOJz8Kb472sHefmpRyFT1kUiEmEW4Vo/zVASnjKUJDAGfLo9u7e9ciFy+WiuLgYKSWhUCjNMNm6dWtvUqDPvn0g5t4JFsaBYbFY9hnY9s3YHgsc6Zw53DpZi8WC0+lMH6Kksob19fWsX78ej8eTnldHq+qbGseeSZbOzs70nDUM4yNPWx6IvfpIe+geCwxoYJsKBFPtPo4n9rVxpoLYvvTRlAH1zcwezDD6zoefW5JcoRlMEP03jj/oFp4xVD6v6XxO04lKuFLVqRAmpYqkQQrGCMnrpspaU6ETeCpmcGVbHcFgkI6ODiwWC2MzMznHCi/ZRjJHj/LOcivxsILNTDLM1s08OmCXj857vbRIFYdL4rfC70qTPDPL5OV7Wwiu/wM5Bb+ku6OHxPpMostd2HK7eajw2/ikTti4lnylHE1/nCd7JrLVcRPjjWUo8lEE9ei2n5CnlCOV4ZiyAVOb1u+7DtZCqihKOtCvqKjAMIz0yV1tbS1r167F5XL1E6I64egef6Sc4n05walsYyqQ7ezsRFVVAoEAeXl5jB49GofDwaJFi8jIyDisHmt72nxcxIkRI0fm8NPETyk3y3lUe5Rl6jKqzCrWKes4Xz+fHHI+cnTyeBR2bQfDALcXcodZUClm8dOlTJsfZ/l7MbxZ7eSPgEWLFqVrkLOysgZNAGKoZWxP4MixP4GagXKeB4uKfJALkJmH5vLkyVy+2fY18KsEz+hge2wTyvPDKXjx80TNbhi7mfvmnIfROYs1tzWidJbS/uRGEpZaNs5PUvxPD4bpJ2rN4e+XDCO4axgLhzcQv3UC37vXjWhWAIkCLKvUOXlTLopZSGekiYClFukeAx02LNLghtoa7EkryfeT2EyTq59o5gffL+O6x3aRfHIH1h1xXpnpp9uq8rPfbee9mQHOrdRgnhvz+hzM8zJ6Kcl90A08kux9lzOP5Fke8DELvF4vXq93Lwpj304JffftvgfUJzK2B8bBMrbHUkDqUGx4f2V9fQPZVCLpUD6zr0+YSCT6UeINw9ir1eShou+9gsEghmEQCATIzs7uV0a5Z0Z3z3ZCH4W5Oxj75v566AaDwXQPXZ/P16+10MGEY490jxhw8SjYv+EdS6QmoGEY+zSovsZ0NIGQTcA0sfdCMlkxeN9UGK/0/uwvusY/DI3LVINb1SS5QpJIJJjeE2an4mBkZysFDdtpd9rJyspi+PDhuFwuhBB8wRQMNw1Oc6is9MSx2xo56xM9TFqQiTvRw09vCrB5lRVhg4BNZ/a5cTLzFEK1AoUkPd0Wps0LUZTzWyaftIjRkzPJKveToRZiZQx25ffoNKMwGpe+lonhWxGEQXaDMhypLQClt7bGsH/vgM98MNGv7pDemu49DUdRFBobG7FYLPj9/gETtDgQPqqndoOFPWtsw+EwbW1t6VpZKWW6HquysjI9z/viSB3fvtfkyTy+k/wODunAiRMDg9vU26hRapiuT8ev+CmUhbyZ+SaaR+PzfH4vteShCocLsvKguFJSXCWpGC2JxwRNdbDxAwsurxWr4gbWM3Xq1DTzobq6Om1H+2M9HCmOx+HAicB2cGCxWDAMY5/1jjB0AtujuceB5o1YG0Es6kbO8vKbKb/hZc/L2G9zMrHqB9SXvUL36KXkv3AxoxZPJHh7Hkvv9DHqtekoygh8LTYuX/cyI3JCNPqmoW4czY/W1jCjOsR9X1BYVryeqtBwMuuTuJGY8QimUoBimriCfjByEWELEgOBTp7RjdmVjZlIoprgjJr84N5afvDdMhbN9PPHb2/j1ttLEdLkkW+s4Ut/CSMLrAQnudkw2cP0HgPLr+sxL8xAjuylXfsEfNFiIAGPPriB5KF0Suh7QG0YxjHL7HwUcSBVZDj+VORDLesbiASE1WolPz+f/Pz8fkyBxsZGNm3ahNPpTNOW9/QH+x64tLW1EQqF0tnfcePG7Tf7uydtOfV9+/qBQ11t+Vjsm/vroRsMBlm3bh3xeHzQeugOihe3P8MbbPQ1KMMwiEaj1NbWkpmZmXaeB8qgDoazVZOz1Xj671MUk2cMyahwF1tbdxEMBgmFQsz3eLgsRaMombHPsRUrkusUAzR46NU7UZP/xua/gKT1VsDHSadq1HSA0AwiNQpPP6CydlkHFouVjAI/U8+5gqXL3Dx071fZWTOa7/3NzQv/GcnaN69h4kmt6J2fx+MXYNYj2IVBBVKZjtTmI7VpIAIcyASOV7bLYrGQm5tLbm4u0Gs4ixcvJplMsmbNmn6CFpmZmfh8viG5yHzc0NPTg2EYLFmyBIA1a9akT+qKi4vxeDyHwIo4fKd1X9fYpI3HtccZYY5gmjmNMeYY7NhZq67l2uS1VJqV3O6/HYvDwmJ1MSVmCUWy6ICfMxSyu6HO3vaU8aigeRd0BgV5wyQjJkgaagVnnGQy+yydRe+B2+0mIyOD0tJSTNOks7OTtra2NOvB7XanA92MjIwjPgw6XlTkPT9zKLyfjzpSTIlkMtmvTmogA9uBwNGOY7/XO5Re8SWnwmQ5med4Dostybjra2gXu+i48RaCr8xmadKFNaRi74oS89swDT+6FuSb2+8iY7mOPfEdFNNB3KrR7o9y7f/Wk1v/Fk9f9iaX/e1inDEvI1vXE7Mq2GNZaIYOUoVEr4q7gUmt5qcqHEExk8QcYZyxbBxbd7KjwIWhZBCPa/zmR9UsneFC+e06tjwyi3gj3Jyw0LXJ4JeLezh9aQhRYO0NbOMmyr9bOb3QhjzdT4hj63zvS3E5xcRKHVCn5lxGRgZ+v/+Yje2jAJvNRjQa3evfj2fG9kjK+gZjPH2ZAn0TH+vXryeZTOLz+dKMsq6urjSdtqSk5LBrQvsGsn1FqPbHCE39fSjgeOzVqR66KZ2QlHDsgXroHikGLWN7LALblBHty6BSjlxKzMDhcJCVlUV2dvaAngwcCH1FFXzBILd2dKCqKvEPDSkzM3OfVMuHdJUmKfiapqP1nXumxLrrU4jy0SQtu2tcb/quztU36HzqZDtxJ9icdpp35mCaJuGQyafm53L61RsoG6kxa8G7SN3FU/8Yz09/+ww/uvGX7NxWzq/vvZXyEV6kHEPc8idQsnsnvyEQordwfk/KxZ443kZrt9vRNI2ysjKysrIIh8PphW3Hjh1IKfvV+ewrU3gCR4cXXniB7373u+Tn59PV1YXVamXy5MmHvUgdaWAL/Rfttcpa/mz9M5lmJs/FnuPG5I28oL3Aa+prLFOW8Yj2COWRcoYbw7ndczsRIvwv+j/cuNP37aQTXehkyax+Yzuec8fuhMJSaK6TNOwQRHugqRZUrTdrW71ewePfe41TFCVd7wK76UJtbW2sX7+eRCKR3lyysrLweDyH/D1PqCJ/fJDKmCUSiX0GtkfrPB8XKvJhXC+rHMgKOyiCT5if4HTzdLaKrUyVU/l85AaufUGQ6FBJDK8lMWINzuxdGB2fhrAdd9Od3H/1dL5+90Ls8deBmfS4AzzwhUV87q+zMORwLrnfSVZUEFeTuBM1KKIBhesR0o0u6tC1EuxJgUQlE1BNFeiA6GJM9Vzi6Pz0J4u4//pzqGqNEtieZPaqbi7+1OX0/NDksn+E6fRqqKak3CMwbsynZZobrwR7XRzljS6emubjjbkqX5THdw+0Wq39DqhXrVqFaZokEgnWr19PYWEho0ePPq5jHEo4UMZ2oGrXD4aU/ScSiTQ780B1sscDFouFzMzM9LhaW1vTpU+6rmOz2cjOziYrK+uoDnRh3yJUqf+mtApSz2IoBLrH238RYu8euqkStZRwLEB+fj4TJkw47PsPeGArhBhUKvLh1MmWlZVRVlaWLmpubW3tx8PPzs4+alW1PZFMJtMc/fb29rSjmJGRQWVl5UHr23QJP9MtaMC5qsFo0actyEudaHcFMRZMxPy6G8OAv/zYgi8gufB6nQs+pVM2QjKs1ETVQI+3cdcP6mhtzqYwP5O8i/7Orp0ZPPlwPXnljfz3v39DqjmYIpek9dck7H7AQBG91MRDPYU63kbSF30pISkhqpSgRYqO2dLSwubNm9MLXyrYHSpS5R9lzJ8/n7vvvpv777+fM844g3feeeeI5sZABbajzFGMMkaRLbPZIXbwN8vf8Es/V+lX4Zd+PlA/wCM8FCeK6aCDBAkWqYs4yzgLAAODO613kiDBtxLfwo//sL/LYMBihbIRkvdeVlAVyC82qRoP5aMk8ahk0yqF1e8plM048H360oVSB3FtbW0Eg0G2bdvWTyAiKyvroLTloZCxPYGjRyqw3Z8DfbxpxAN1jwNC2T2vAgSYLqcDkFSgcIpKaLWCWVfCiDPv4AufeYU/XVnA4oJz8Aaa+dOCAJvKb+U7d/2d4rqV/OiqW1ia08lJ2Rm8MS2bX923HQWB3ZBExSUsKnubic2Q1a2iyRLClhjdmouMqEamrmPSgeQp7OI0MAys5LNy+gTWTXCzYZSTEaujJCwqZbKG2oiTixd2YVEFmVNtlG14lM3jR/Ad65lUbo3x2/e7Ma7NZvkoH7tMQX2TQclzGpTFoHxgyhKOBoqi4PF4qKioSPt7J2x8Nw6UOEr1mR5o7KtO1m63s27durR+Q3Z29nH3ofr6ecFgkK6uLhwOB5mZmYwaNSodwKbo8MFgkM2bNxOLxfod6B5t0mNfgW7quaX0R/akLR/LOT6UfHbofU4ejwePx9Ovh248Hj/4xfvAoFGRByqwPVDh+aHWyfYtak7x8Nva2qirq2PDhg14PJ60YR5OhiI1vhRPPxgM0t3dnVYCGz169GHXeWoCfqElaUIwojOJqE8gxzlACMxCK9ImkBka0pA8+0+VZx5UkVKw6n2FTasU/u+2JCMmSqSEnk4Xv7z3brZtGcW4U27mS+d+jwkT7mT6nNd5+oFLWRkcy023v8F8sY0oPppbzA+Vy3Y/477/7Rvg9jXOFC1moNSRjwb7M1ghdvfkKi8vxzTN9MJWV1fH+vXr0wtgKtg9HOGiE+iFw+EgEAikN94jdT6PJrDtCz9+/hz/M3bsbBVb2axsplapZbG5mP/G/svNiZtpaW3hgeEP4MSJT/rYoGxIB7YKClkyix56sHF8pOv3h8qxknkXmmxaKWjZpRAJSTKzDRa+oOLySro7oLHm0PtAC7Fb3TSlSt7V1ZVeK9evX5+uhcvKytqr9dJQytieqHs/OqQC2/31yxwqQemgUZEPgIadgs52hUQcMopizE2+zklLBdHEfbT84hVaPGsQW17nqTPdPHXRmUxYu5h/feHnbN3exLemnMlnVkVJqjpSbUIxi4g6cwn0NBHojgC9gYEjZsUtJSoCMECL0lp8OYHtTlQ0EsDk99vIbU4yeXUPMVPw7Z9XcfYLq/j9H54iqc7m3z8cg3QKJhkmeX8PcfnanWzPt6D+p4XkfZXcXKiw0zQY+XYnieUqyqJuzCEQ2PYNZI931m8o4kD+tRBiQKjIh1InO3Xq1PRBaFNTE1u2bMHtdqezoF7voe89R4O+PZXb29vTzLz8/HzGjh27z2B7Tzp8XwXkbdu2YbVa+4lQHUzk6GA4FNrysRShGmqB7Z5I0cqHlHjU0dTYHkxBra+K2pGgLw+/vLycRCJBW1sbra2t1NbWoihKOsjNyMjYa0L35YanDElRFDIzMykqKtpL4e9IcKnWS/21/LgOsSOO/v1C1EeCiE4d6VFQn27ng38kuXddKcID37o9QVOdoGa9oOrVBlSflb98kMOzD9v55h33MWmWQe02wRevi1Ay4SGyCsJce9NGEuYcTj/jlHTN3bZt21i7di1er3efdakpo0u1aGlra6OtrY1wOExGRkbaCeqb0T0eGZxDmRupd5aSKk8mk+lAt7q6mp6enn7P4Wibgv//hFQfWzjyjfZoHN++121RtnCP5R5OMU4hU2bixYuBgUTSJJpYpC6iPdBOq9aKIhU+lfwUE8wJBAliwYIXL/+X/L8jGsdgIzsfzrzcpKNFJdgMFptEqIJEHEDQ1S5JiMNvuVa/HZJJQdmI3aIvVVVV/dgoGzZs2OuU+3hkVob6Bv1RRd8a2z0xVLKth/zeg13gc/W2M5ASPtzT+40hqaMuX4eZmwWVxelL48RRULCwW8yodLjk+m8Y/PsuhZZWjT/c1EJzoYd3z7iNFr2crE/V0TpPJzGmkUz7m5CcjKFphLN0mn74XcYs+BE9ngy+eutpBLM7iDQ7+fMfYphqPYpRRUJVMBQFa/rRJ5CGm3eNcs4QHdhlDJWluGUBs5aWoqCCRdAwUrB+STmiM46m2Tnj1S4+uDiTFXMuY96SFsa+3U54soLsiiCCSTIqHGSoks75LhqaTHxnB47qfQwUTpQXHBgHytgejV0dSZ1sKstWVlaW9qVT+g0pXzql33C0wWEKqf6pbW1ttLe3Ew6H075acXExXq/3sOdP33ZVfe+f8ol9Pl/6exxu8mtP7C9hdCxFqD4q++aQCmwPp8b2QCdDfQNZYFAWO6vVmi5o7iussnXrVqLRaJpGrGkaoVCI9vb2tEOXkZFBeXn5UU90AIJJ1HdCGKd4IaCBITHHOlGDOsrDLShLIuBRUGp7T+rKshSyLAkmn6VwZkYn5sVePjU+iOXnQcxn7CRzcxACjCTccrmNYAP8Omsn+WN+gP67BKddMROEAfTvRdX39Ku2thYgHeAC6ey0EIKsrCzKysr6LVp7Hkocayn0IzVYi8XST6o8Ho+nn0NfBbe+Af+JzXff6HuwdTwytn2vixHDxCRChLnGXC4QF3CePI8atYbn1ef5j+U/xApj5Mt8rktex8XGxXTRxa+tv8aOnR8kfoC6V5fqo8dA0cU8PjjtUoPmXSqhToGiSJxuSagT2psFLpyHZQ+xKHz1UgtSwt9eTpKZu/tnFouln8phX9pyTU0NpmlitVqpr68/ZtT+EzTFwUFqzx2swBaOgbKyYSC21aG9thizOA914XKIxEn88quInjA5f3+KnhGlCMUOioKycDki4MWs6BWPCxHiYsvF2KSNp/Sn0sGtEDDnbJOdWwSrl1iolydz7/+tJ9npwbLeTcGWESyoq8HxWDfvXq+y8RNVnP7PB7CGvkL2tVdT0vUX2n0+lkz9KT2VbyD+91l+8IOv8ZPb3yUeG86wLo3c7gh8+HkS6JHNNCS9PFRQxMW7HiGTF8iIngr2Aog50E2DG//zPuf+zwXSxS9vKubeq/Nw2KBVZJB/ueDRXJi8eAfoJuo9zei5NiixITNUWmabjM4eGkrEHxWn+3hhoKjIh9tP9lDGtS9fOhUcplrnZGVl4XQ6D+3L0jsf+mZUOzo60hnV8vLyAe+Pumd/1lQiq62tjZqamvTPU7W5R8vsO1A2N7W/7evP0eDjbmPHpd3PUFBQ2xdSwip+v5+cnByamppobW2lvb0d6M1EBQIBRowYQWZm5tGNL2YitseQo3ppxtp/g6iPtqE+0Y45w4Xybg+iXSf52Wyst+wEh0Li95VYflIPHTrZJHj4162ob4UQP41hvuBG/1wO+tfzMUc5+FJJkiu/lCQrD955UaW9WcFbpWL6xmE4ivs34+0Du91OYWEhBQUFdHV10dDQQFtbG83NzcDugvz8/Px9Ftwfz1Oo1OcOxD1tNls/BbeUCFh7ezs7d+7ENM20CE92dvaAtUz5OCClOghHTlscqMB2vDme7yW+xzvqO6xSV3GZfhmPaI+wTlmHW7gpMAuIxqIUKoUsUBYgEFixoqJiYPBby2851ziXcea4w/4OBxvnQKGoAvJLoK0BvvNJlUiPoGqciaJIvIHYYd3LYoWS4ZJwCJyeA/+u0+mkuLiY4uJiTNNk/fr1dHd3U19fz/r16/u1WtgX+2UgcCK7MzgQQvSz4z1/drR0x4GqBUwfoK7YgOjuwZg8CmxWsNvQ/vsSysbtmE472rObUd9aiszKQDS0oOzYhWvtdizbdqG1hjHHVyGH5aK+twreXApnnIyBQZIkCDDZ+/tecaNBxWhB8Bd3El4Wp/us13AbGRRnXMYfm9uJxqNcMnkbqrebImcDnb+6Ar29hEd852NeamfbiGwmLDqJv/9+I+32AKOr56AaEHYkiVvqsMezARtJNYHFHMFnm1SWV0ZYkTWN0zvL0SJF8GG/ArshqXhOR9G3Y1DAm7N9tOcojAgn+XRDFL3CztW/2oViuKjPFRStC6O814VZkjPknNwTh1UHxoH86wPZ5kD2kz0Y+ooUDh8+PH0I2traypYtW3A4HOkgd19irn17oAaDQZLJZLqWd8SIETidh3dgezRwOBwMGzaMYcOGpQP21GFuKpub2ueOln69r2xu6r997eJoE0ZDzeYHGsekxnagT4YGA3vSi4UQ6YxsKiOZUg/dsGFDWoAqRbU4kACVqI4hczXU5zvBriC2x1D/3oJISGSmhvHZHIw5XsTGCNp/21Ff6kTaQebZ0J7pQCQlxlQH5iw38UcqUZ/qQHuwFdHZ2wJI7IijrYlAzCD5p3LEyjBqT4Sscb2nYrf+NYGUIEQhSaCjFf76cwsnn2kw5+zdi2CKapjKwpimme41mgrkU4vNpk2b+imo7qkyfDxOoVKfMdAG27f2MCVEleqXFgwGsVqtaZXZE9h9opx6F8ezxhZAR+dN9U00NE4xTuE04zT80o/bdPOA7QHKwmVcHb2ajGEZ/MnyJ6qVagwMcmQOtUotG+XGAQ1sBxqaBskEBFt71ZJNCf5PwjnzE3Sv2IVpjiLUCR7/we+lqnD7f/cOZg4GRVGw2Wz4fD7Gjh3br9XCpk2biEaj+P3+NJ1roFpvfdw36OOJA6mvDpWMLQDJJNozb0AyieU39yO6ejBHliM9TpS6ZkRBFlJVwWEHuxXR0oaoriVcOQzicZTFqxCdXZiTRiLaOlBfXoRoaMW/YAZPD3sSraYRmy8CIorYvAM5sgwyfDx0p8qTDyj0dJWhKu24V47ltFtqueZ0yXP/y4VYkM1z3sZSP5PW573oo2eQU23j9HI3uf8r5YWzkrhWZKDGtiN83cQ0Lw4p2Fbsxi47qdrix1Q62DIOyjdkY08YTNyxA7u0oeqpoFaSFBFM6WRshw9V2Gi01nHPj1/m7utu5KIl9ZTN11j4RgHFSRNUhTtvKeZ3/6hHbI2l38NQsqG+h1XHQuH3o4YD1dj2PTA6lv1kD4a+h6B7irmmkgROpzMdOPbVqhkzZsxha9UMFvoG7FVVVenerCn6dSpuSO1zRytMuz/asmEYe/3scBJGQ83m94cjjQsGLbCNx+Np5zaFvoY0UCdDR4qUcaWcr2g0mubRl5aW7vPkZV8CVLt27WLjxo17C1C16YiYidiVwPK9OsxSK8rGGEJK2JVAdBmggOg2kM+0o38ul+SPilDf7YHmZO/P3QbSKpAeFWVjDPWRNkCgLO8h/mgV1muqUddEkF4FaVMw5nqhNYn1mzsBiD81Aty9i0Hfr7LkDZW3n1ep2agwcXZbui6iq6sLl8tFVlYW48eP3yfdNiXLvyc9pLq6Op3NTWVoUvSQQzmF2leAeyQT+lgYbN867dLS0hOb7x7Yk4p8rGps95WxBciX+VylX4VXelFQyJE5nGOcQ72oJ1NmEtAD+AwfJiaNSiMNooEe0cP0xHTatDbeU97Dr/qZa8zFztDMzF/yaYN3X1EorpS8sEblX1Uq79psfFvAa09orFiocennDEZPGby52tf29uwxnWI8pOhcezoAh0NN64v9ZXc+Cpv2UIYQAk3ThnaNbVLH9t5q1IQJPVGkRUVdtRniCcTORszSfIxTT0Jdvg5yMjEzfYjOEJa/PY6yowF/JIJpt2JOGov27krE5preoGp9NWysQYQj+E+ZhrJ8CzK7DQpzEeu2gMdJh/TxwbsCRcDccwzWLfHg8w/nzlNnsm6p4FezKqmb5aVg5Xhy/gEbv/QoScdn8Rojif69EgtJfvfDzTw/fyGX3L+CulHf5e3zfo29McY9l9zA7b8vQ+AmbrUyarUVU9URgCvhRyIxEChAnDU8dX6A1rcrubazCa9U8Jg2srZF+NWf1mBpc/BKNJcxDd14oiaqYvCN3+7gH18ooGptmJlbo8jA0HJyT2RsD4yD1djqut4v8B0KbMi+SIm5ejwevF4vzc3NtLa2Ar17iMPhoKSkhPz8/IN2ETne6NubNaU901eQ1OPxpH3igShfO9SEUepz9hcYftx91kEJbNeuXcvmzZuJRCKcd955VFZWHrOTof3hQDLgw4cP30vh80DoG9j0FaBKF82jMP2PbpxdGvLcTFBBjnRglNsRDQlEsRX1jW6McQ5EWCJqE9iHr8Qc6yT20iisX9qG+lI3SEj8qQzrp7ehvtGN8l4Pysowoj2JcWUm5jl+lNo40qFAiQa5VvCrmFPd4BDg3Pt567rOqOmtzLtYpWB4PUuXth5UQW5/zyDVTqekpCRdcJ/qQbWnCFXfgv79nUKl/hwNbfmjchL1cUZfCuOxzNimsOd1AsHJxsl7/Z6CwjRjGjldOUir5BntGcKEKTQK6VA7KKaYDrOD99T3eEw8RkIkOEc/B4WhR33NKYSaTYLtGwQ5hiTSDheN1Gmtc7P0ORVpgjooq31/7M/29uxZl6rVb2hoYMOGDek+44erQnmCijx42F/GdqioIttbO3Es34Li9fYe3HrdGBNHInbUo7S0o26vR7/Cj37ePNTFq1Aa28CiIS0aojOEwEDabciqYuS2WtQN2zGz/cjRlYiuHtQnXsNsaUfOn4EsLYTcDIhEEUvXsi0i6ekYw/AJkm98tprrX82nbXEmTbWQObwHxyOvMfWPcxlm+w3rvngr8cKncG73Y3xwDddf38q0EcP49c+7uOx1L/dNMbC818P3v3MN5TtbeeSUGVz3zH34jTpemnQSN/xPRVezcOsf7p8IVECSQBPrKG+cyI8/UYH5H4UbexpIqlX813cy45OPMD3fR5e3jHfHO7nmuWYqtiXY5XbxnwIn/lwHM+PmkHNyT+zhB4bNZkvb5Z5sSFVV2bZtWzrJkgqmhsIa2bfFTltbG7FYLK1bMnz4cDweTz9fetmyZWia1k/MdShkbfcHRVHw+/34/X4qKipIJBLpeGPNmjXpzPShts47GA6UMDIMI7037ith9HG3sUFxdZ544gkWLlzIG2+8wS9+8QsqKio499xzOf/885k8efIxM7IjkQE/ElitVgpy8hm2zol4x0/3dEGysB1WxDD+VMeOS1QSV7govS2K7Y1wb+N3FZT1MfCpEDUQXSaKEUHZGoVuE5mlYpzuQWyOkfxWPiJkYM52o77ZBSbIYhv6XC/GmX7o0lGq45jT3GBRSP6quN/4UpnVlIqc3W7nws9mk5VViN8/ZkAWiz0L7vs++7q6uvSz35dRDyRt+VBVkQcKQ80pGArom+k53jW2B8IydRmvaa8xyTOJsngZ9aKeZtFMQk3QJbp4Qn2Cm5M3M8mcxM+sP+Ne5V40qaVbAaVg0KtiPhgiU4eKdYbghf8TZD8G86MmUxYK5gd0/rU8DyEkBWVQXDm4c/VQN0shRD8HIMWeaWtrY8uWLUQikX4qlAc66T6R3Rk8HIiKfLQ1tgNxj0R+JuGTJ2IdPRzrXf9GWVeNWVWCyPGjPvUmGCaWR54necMnUN9fgwh2YoyuQFu5EZlIYHrdCMNAmAbmpBGIYDtYrSSvuxDLivWIZ99CWbIGc1sdYlQZ8vz5EPDCzgamhHfwmcvclJ4zDI9mo7QgTJthJxpReKnwEXZ88y7y3z2HUe9/mezHrsWR8JK7/mS2t0WwjHuR1+fbeP+ZccxflsfNr3+HuzLLWHaSYNF0P9Z4jGsXXIFTvsjvn7Ii9BgJdpCgHCsfEpCFREqBKafiah9J1oJuujpsKI/19sbdYfrxmwGGD4/wv6tyqbMI5i5voDLDTaZL5ROruxl2hpetVW68wciQsqE9D6sGqkzp44J4PE5HRweRSCR9AJjK0k2YMCG9lq5evRqLxZJuaxMIBI65b9S3ZKuzszOdTBoxYsQ+k0k2m43CwkIKCwvTLRlbW1vZvHkz8Xg8zfLJyso67j1zDwar1Up+fj75+fn9WJ6NjZh2lMEAAFbuSURBVI1s2rQJp9OZ3uMG4t0cTsIotW9+XAPcQQlsZ86cycyZM/nWt75Fd3c3L7zwAk8//TQXXHABLpeLc845h/PPP585c+YcNQe9LwzD6EcvTjlIGRkZRywDDiB2xpFWAfl91M+kRHkvhNiZQHm9C2VXHNqSiGadwEY3iccnoA7bhe32BooflVRnN7PTiDE8aINQGMMuUFQBMRMiJkaVHf3WQkRtAqXdwJzuAZcF69d3Ys5wQ5eBsjRM8vvDECEDWWIDIZBjeyl8fRNSfeXKW1tbicVi6QVhxIgRuFyH3wLkcJESoSosLOyXLe9r1PtqpXOgU6i+Brq/4vmPq6F+lGC1Wo9LxvZwA9vZ+mxs0oav20fYFqZJNJFtZrNCXUFIhAipIUxMrtGvIUNm0C7a8eHrd48kSX6j/gaJ5FvGt7ByfHoff2AKGmyCaAXUPiVIJgTvvKBRtzmATVVobYBnH1Y47xoTp3twxnDE0vx9+oxDfxXKnTt3IqVMrxV7KmruL2N7Yg04egw2FfloIVWV2MQRyLw8jEmjULtCkOVDHz8c9fWlKOEoeFzoc6dh/dnfwGpBhKMQiSOcdkyXHeIJlNVbUNdshvZuUDVEWzvoBnJ4CcSTqC+9C28txVy3DTlpJDLgRRmZydw5KmTHUJ5Zy0+/5adtXBZb1gjElrm4nG/jaCrilZ+dT/j1cVxy/0N88eGt3PKHtYzbfCPb3u7GeMdPbncLNz6e4M2/xNm+dRv5/xxHZGYntupuoledwvgHG9DMGBmJXj+pwydoRsESilIqNTRGkNOpEUgabJ3ggMckYRLcHNxM0HEyba0hvvWHZSw7tZmKuUsxnTdhfSTKtdEE/2s1uKNY5Wpho2QI2cuJw6oDo6uri/r6ekaPHs3ZZ5/Neeedx2mnnZZeF/tSY1O1rOvWrcM0zXT2Mysra1DE/Pp2kwgGg+mERm5uLmPGjDmsYLRvS8aUgOf/a+/Mw+M6y7P/O7NrX0eLZXmRvO+OYzve902WLVleU0pbKAkEaElTCIV8EKAQAjSFwgcpFGgp8BGIJWu82/Fux0riNXa82/EuaTSjXZoZzXLO94c5hxl5ZEvWaHPe33VxmUuOpTOj88557/e5n/txOBzY7XYuXbqktc2plenefM+0dnmqGRROp5Nz587h8/ki0prT+mcG74lUfaRWxOPj4wkEAl0a5tpTdKk5TZIkEhISePrpp3n66afxeDzs378fm83Gc889R3NzM4sXLyY/P5/Fixd3eGxO8IlQTU0NtbW1WCwWLfAoKSmpUzHgUrkXw7+XozvdjJJuwvvzwRh+ZkdJNqA73Yzh907k/uZ7/bCygtLfhNQsoz/SiPHLN5HeaYRYPYYaPyO+C4EpychWDzTKeA0BrhW5SamNJrVMh94dQL+rHt8PBoJfQZ4Zh+54M7qzLvx5iegHmQnMikMZFf6GD94MVldXYzQaSU1NZdiwYV2WSNpe1PsgISEhZFFXV1dz4cIFvF6vZklJTU29L4Qq+M8HNc/31KJ8XD4MIkVP9diq/669pJDC0sBSLsgX8Og8uCU3DVIDASlArpxLM83c0t2in9KPl7wvES/HM4ABmu2rQqrAjRsPHhSUsMmp3cV6g0xyAiT0V8j4Z4VL7+sYNsHL3fJqxk9MofhXRna+oSMuAZZt6JrrjJQtODiFUj0UczqdVFZWcuHCBSwWi3ZqHwgEevSz7XHmQanIkRC2kaj6amGUlU6wmPEXLkROT0H+wzYUZx2+zz2N6bdbIC6GQHYGRFtQzGak2nqiLl6nxZqAPGoIutsV6ModSDfKMfx3KTp3C/h8yLOeBJMeJSsd/D50v9sCOdn4X3sR0pORTpyHSiex/XTsLZP47+/IjMlKZPyN/6U62oGuVsH/8f/FkXKFHcfvUr13GGV3M8mOGcqv0xS8S3T0r/FwbYgeyy4/Pzy7i9vKZV776m3mnXwOnd6AXxeFVyfhs4DbqGOEM0ALJvYbopntryOlRmHOxptMf8eADkgJ+GmOMeLLVtg0x86Lm94jJ+sUcW9+HNnRxGWDkcT/dpD3/5y8+7PhpA4N9KpnmGgveDD/+I//yGc/+1nefvttSktLeemll/j7v/975s+fz4oVK1i2bBnJyckhc2RHjBhBQ0MDDoeDDz/8kA8++ECb6NCZqQ7BLWjV1dU0NTVpLWjjx4+P2FhESfpLgOegQYNCgk5Pnz4N3BtLabVaSUlJiej4n64gOINCzatxOp1UVVVx6dIl7RmXkpLSKQu2au12OByaLrBarYwaNYqkpCQURQmZYKH+2dN76s7SrTsCi8XCsmXLWLZsGT/96U957733KC0t5dVXX+WZZ55hzpw55Ofns3z5cjIyMsK+qa1PhFTfelpaGiNHjozISYeKdMaF7qwLmhWUHDNSQwDdyWakGj9KnB7FrENJ0qGkG9Bda8H/VykYf16FEq3D8GsHKAqBaTFIVX6kay3Q34zvR4MxfvU2hmmxWP8+FmdjNZUHqxnwn16cqV58lQqpK1OJjzejDLYQWHvP2uufFR9ybbIsU19fr52+NDc3a/a93NzcXt1033pRBwfLXLt2TQuhUhd18JywcLZlj8eDw+HQAggAbdPUXTam3vpe9wQ9Ncf2Uf+dJEk06BpooYUxgTGYMOHESYWuglHyKBKUBBw4+IHxByz0LaRR14gRI+/r3gfgn/3/TLwU3+5gqUgIg9aYJcg3yzAJfvI1PRW3JI7sNFNpT6Turh5nBSSnSQQCcO64RFQM5IyM7DV0VSK5eiim2pZra2u1WeNNTU2YzWYkSdICOgSdR5KkLk1FjvR94v+rPKTbduTRuUh1jShjh6FEWQhMHoPhf2zQ0IQ850l0jc14n1uP4U+70H14CwkJqdmF72MrMP7sD0g19QRSEwEJqbYe6dgHKCNykBfPuJeo3OxGsZjBZED3vV8hnTyPMm8qcv4cxh61M8TkYqF0hLkTk/jWnjySf/cxdJPP0/ix3/OnIymkxs7B540j3lzHxHI3ZbkJvP/v2bgdJla+158J9kaGuofyT/0HcvPqcWT9AOqMJjbP+xDbqmQ+96vBWOvqcBv1fGvpYP7f1lOkBurJ9iVg0sv4kDAqJt5+Ip5XXhhAwZYqaiwmkgd9HilpCC2jLLz4iWxW/uwOHzvZwPdz9DgcLm7UR/TX0SlExfbhGAwG5syZw5w5c3jttdc4c+YMpaWlvP7663zuc59j+vTp5Ofns2LFCrKzs0M+R4cMGYLL5aKqqorKykouXbpEXFwcVquVtLS0kMJCa1qHhtbW1mr7tcGDB0dkrmt7CJ6prmY2qMGEH3zwAQkJCVpl+kGvpzcQnFczaNCgkGecasEOnijQnt+Puh9uaGjQfrc5OTlt6oJgR2Tw+gvnjuwL9NhRt16vZ9q0aUybNo1XX32VS5cuUVpayhtvvMELL7zApEmTyM/PZ8GCBdTU1NC/f3/tREi1F0fyRCgc8rx4fIAyLhql373FKj8Ri35zDfLcOBQJ9O83oyQaUYZZ0O9rQInTE1iTgnK6GfwK/r+2Ii9LxPj12+jebkRyBvBuHgFAPBCflgi5uXj/2ovB6aRODaAKOm1Tw1RUUa9WZVWrxuDBg/vEKVU4gk/iBgwYEHICqM4JU08Ag+eENTc3U1VVhcPhoLGxUfsgGzFiBAaDQWuef5BtWdA1GI1GbU51d/bYqjzKv6vR1yBLMokk8i3Pt/gX878Qq8TyjPsZon3R+PV+6g31/Nr8a27rbpOpZJIXuBcklRxIxoABWSf3intsxASFFjfExMs4awIYjPdS0RUFDm3XUfYWGIwKX3s9QCSLnd3RBmAwGLQqA8CpU6eAe6nLJ0+e1A46x40b1y0brMeZtqzIvSU8Kvh7KGkpKGn3DoGVlES8X/sMismI5KgFnYSSlY48ZzLegnmg0yEfP4dn+CC88THEuD1IZy/RUrgACfBPHYexvArjfxWDyYicZUU6fZHAmsUwcxLSjXL0f9gBp86jO34eWa9HGj6IwQlxvLZiP4qjFikxDt1KM7+4OZfKr76C/pn/4fqzP2LY2Fs4nv83cip8fNJdTuUJI1cuutlYOoAX7zoIxCh872vHGHnqk/zs5buk1prw6QMsPZtEVEw15sAgFAk8AYU/2S6RIusxEMO67Q00I1GJmRidj7vl8fzus8eJq77Ad7/ycRprE3jtc7VY3jnNYGt//vObucSaAxR5fKT+jYNotwTZzejueJEXJYK+5z6/Wn+OiOf1g9HpdEyYMIEJEybw8ssvc+PGDUpLS7HZbHz1q19lzJgxmsgdNWoUOp2O6OhoBg0axKBBg/B6vZoQun79OmazWRO5iYmJWgaCKmaDxzwOGzasx4VjcGbDkCFDtEKHWigxm83aXjq47a23EvyMa134uXr1KiaTKWT6iE6no66uTvsdqr3I/fr1Y9y4ce2qxreVc6O608Ll23TX7/xRfk6v8HBJksSIESP4l3/5F7785S9TUVHBH/7wB7773e/y8ssvk56ezte+9jWGDBnCrFmzOp0m1m7MOuSliSFfChQmIZV7kWclYLjSgpJmwv+ZdORx0SCDfm89/o9b4Yv9MLxyB+OPKvD7FJQ0I+gkiAsvwk0mU0hvhHqjXr58GY/Hg16vJxAIEBsbS1paGgMHDuz0MOjeSLgQKrVP5NatWyFN70lJSfTv3x+r1Rp2E9vWDDd4POwWvRX1gMXn8/WZiu1Y11jGesZSqi/le8bv8ZzrOVKUFAYpg5B0ElOkKVQr1fxe93uapCbuSnfJlDNZ61977x5T5Pvi9nvq/lq0WmbRavB4vAw+8D7DBmby2x9BSgaMnyZTtltHY72E1wOGCPfbdvdr1el0xMXFkZOTExLQ0RcP+XobD7IiR9JG3Jnv0RZKSuK9/+b8NTCbCCx8Cv+CqciA7PcTeGoc7ms34ewlanQycYDldgU6JPSZVnQfXEEKBKCqAZrdkBSHHG2BxmYM566gNDRBswclyoySaUU6fBKizCj90iEpHiU6inmr07hxxMwbr+moLhtE1BNDaPjT36AocFpOpHmwk72eRM7/OJGkf/wDv/0gk8nj6zieaeVm2rfZPHEe+XFxHDBHMelWLB/EJnFkrUxWYyPRNQaynVFI6FDu1Z3RoSMDLzpJ4dCgePamTWfNe5cpmxyHbmA0jZ94n5irPj6XfYaxSyaxUC+DUUKOkQjowfD9u0h2H0q8HmV6fJvvbVcjrMiPjiRJDB48mH/6p3/i+eefp7q6ms2bN2Oz2XjttdfIyMjQRO7UqVMxGAyYTCYtDyUQCOB0OikvL+fkyZPaHspisWgW1t4yU7YtLBYL2dnZZGdnh/SVqm1vqiiMRDJxV9NW4aeqqoqLFy/S0tKi7TfUg4aUlJRO/X46EkLVkX2OjEyAAEa6/tncK4RtMJIk0a9fP1544QWio6OZPHkyV69eZfPmzbz00ktYLBYtfGrOnDkRDZ9qD8qwKHw/GgSAd2w0tCiQ/pdflH/iX4KZlFHRcKIZOdeCUpiE/zPpYH7wB3Zw74DT6URRFK3Rv6Wlhbq6OiorK/H7/fj9/m5PuusUihI6UPch+P1+6uvrtf5pvV6v9Ru43W5qa2tpaWmhqanpvhAqeHDastabJT185tfDEMI4FFVUeL3eHhG27SV4gL3b5SbXlUtdXB23dLeIl+IZqh8acn84dU6O6Y5RLVXjUlxckC7cu05JQY8+5B7z+/1hHwDdea+o15MzEl7+eUD7+jt7IOCH8psSQ0ZHzo7cE8FtrW1T8fHxvboNoy/R1Vbk7vgeCiDHROEdMxSvxQR/XpeMGYr5X57Fu/MQ1VkpXGpqQPb56V/jwjJjHKmjczEjod+8H53fj3/SSHQHjyNVOAhMHkNgVC7GXW+jTBhB4OXn0H/3v5ACAQKF89EdOYUydzLK8MH83RMe7Lbr/OjF7yEntBCV3UTOJAU5YOadRSPZ+LJE6h0/cVeT+GXRUf7vp/+XtIYh/GTGS1RKsfz0M3Z2/Ho4gX51eMbtxvP3kzhVncD3fmHBSh0mTOi4d697zTIWOYA7xk92nQ59WT0/WfJ3NA0xMuYARJ+OI0AUSaZ+/I3xzwcTZh1VP0nl9p3bTKtKRTrWiDIycu1cj4KwIkcGtT3jk5/8JJ/85Cdpampi9+7d2Gw2NmzYgF6vJy8vj/z8fLKzs/H7/eh0OmpqapAkCavVSlRUlJaJcvfuXTweDx6Pp81iQm9Dr9eHVD+bmpo04X7x4kViY2O1AKreXihSw7McDgd1dXXExMSQlpaGXq+nqalJS54OHpsXiQPeB+2jOzK1pNBQyG3pNjt8O8ggo9PX9SB6nbBVkSSJ5557DoAnn3ySDRs24PV6OXDgAJs2beLzn/88jY2NLFq0iOXLl7NkyZLuT0ZLfPDbFyhMJlCY/JcvmMN729XF5nQ6qa+v19Lewlmtg0djnDt3Dr/fH3IC1d1Cv72YnrmGbn8DLdtHoAxrOxmvpaVFW7zqaKK0tDQmTJhw3+/3QSFUKSkpIRvccKdQ6p/BM79AVHM7i/phqoq77g6PetC/Uy3SwdeUmJjIjRs3ePfdd4keHo2cKXNRd5Gx+rEh//Z3ht9RRx1mxUyBv4BP+z/Nft1+duh3MFuezeLAYkyYQi2SioITJ7/S/YoJ8gSWBpZqP7unErz/6nMB7HelPtFj256f2fpgT4zgigy9XdhC+N91yBqfOIKW77+AFBuNXq9HkiT0ev29eybNjOVvVhEPDAkKKbvucHDW00S/qcPIcTrRL5mJ8YnR6PwBZKMReeRgFIA/V4WVE+cxHD+PPGwQSl0jVDiQLt9EGT4YJInn//Yq7jsTuB19nh/OrST2u35aPLD7TYlAQEeS1cfPPj2XL1x5nx3NZqa+sopZ1RJWXwN3f5TAW4Fk/CMv41o7D1cgl7xDdxlsvkbAFI3OC35Ah4xi0rN1Tgpjym/yjdNnMPgVjp2M42PGibQ0B3AZjVgUmbh/dyJZY1Am3rNrKBIgScgrk2Fl8n3vZ3cjKrZdQ2xsLEVFRRQVFeHz+Th8+DDf+c53ePrpp5FlmY997GMsXbqUJ598kn79+oX8DoJ7N+/cucOFCxe09i+r1dotkzY6iyRJxMXFERcXx+DBg7U5sw6Hg5MnT4Zt/+tJ1N5hdT/scrkemDCtOj3VNr4PPvggbBtfZ3jQPvphU0sckgMfPly4OnUN7aHXCttwmEwmFi9ezOLFi/npT3/K8ePHKS0t5bXXXuPTn/40s2fP1sKn+vXr12tFSbA4dTqd+P1+bb7u2LFjH2iPCB6NEWy9u3v3LhcuXCAuLk5bnL3pBEq65AEJJIcfZdhfvh6u2T0+Pp60tDStf6Mt2gqhqq6ublcIVfCfwVXctqptwf+9oG1aC9ue7LENrsq2tqTrdDr0ej2ZmZlkZWXhcrkw1hlx2V34bvgo05VpD+74+Hhy5Bw+0H9AtpLNc4HneN3wOpd1l/Hh45r+Gi5crAmsQUfo/eKUnFRIFfjcPgZ+OBCn04nZbO7yqP223r+swZA1OPLirycEZVtiWqzTztOVwhY6f7+ov2N1jat/qn+nri19cmKI86Kt7xUcUubxeO7ZF0fnUlNTg6m+6s+fBckk6XT3+owLF9wTYW+VocTFIA/Nxv/ESOS4GJTsDHSyjKTXY/q7JXyjdhq6TXtRBqfy/S/pObpbx8efDxDwS1w4EY3jlp9ZlsmcXPxXnK5O5r2xdUy9VEl9Ugxmh4WZ1ol8qLvMtRc8vCcrJM07x1/vHku0z4ReAdDxx6VWCvbXEN8YS0BW0AOj7jTx7H9cJ3pmNrW/HU7Mby8TV+am6aeV/J+P9WPZB40My+9dFdLWFdvedG2PC0ajkfnz52M0GnE6nSQmJrJ3715effVVLl68yKxZs7S9dFZWFpL0l4CjwYMHhwR2Xr16lejoaK0vtzftOx9E8JxZVRSqfblnz54lKSlJ20t3l3D3+/2a2HY6nQBaIOzDxLZOpyM5OZnk5GSGDh2Kx+PR9sO3bt1CkiRtP5ySkhKRIlhb++hwU0u2y9tplprJIgvacXt05vnQp4RtMDqdjilTpjBlyhS+853vcOXKFUpLS9m4cSNf/OIXmThxIvn5+eTn5zNixIgeX2hqnLfT6aS2tpaoqChSU1MZPXr0I9uJVeudOhtLjfZ2PiCAqqdosQ1HuutFGRONoihan0Bws3tWVhbjx49/pAXXuhdBHe4dLoQqJSXlvkp4R2zLbVWBBfdQDxB8Pl+3h0epFWK/3x9WyKpiNtx6i46OZk70HOYwh5a0Fl7xv0KNq4YVp1Zglsw0T2omPikeJPiN4TekKWkMk4cxW57NDt0OjuiOcFm6zPP+54klFrfbjdPpxO1wM8k3iXQlHV2ijpEjR4ZE7XelZTnS9+aHFyT++Lqe9Z8NkDMi9PfTE5UWYVvsOnpzeJQqYltaWkJmZt9XlX1ELBaLNnIquE8vrEtq7mQCKQnI2Zno3zkD9Y0EcrORg9a2LjkB5ROFoNfT8P8kJOleOrkckFAUuHZe4vr2+cRU6kjNUJhpM5NkTWfHD3UM36SjxlyJ/YCNmNgJnFl4l3eeOsmPvm7jxJRvkdxsQQGyTlVhduuQ/XqqTHriTR5SGox88T9uU1jSj4trazH+x2949qfL+UP+GA5Jeobf8jLmmg8pofesoZ5ysnwUmTVrlvb/582bx7/+679y7do1SktLKSkp4Utf+hITJkzQ+nLVvXRwH6vf79dGyqiVT1XkquFGvZ1gUThs2DBcLpe2l75y5Yq2X7darSQmJkb0Nan7BNWlGB0drTk2ExMTH3ktWCwWrXdalmXNkXL79m3OnTunFcHC7YcflQfto2OVWGKJJSAFOt3+9zD6rLANRpIkhg0bxosvvsiXvvQlKisr2bJlC5s3b+bVV1+lf//+LF++nBUrVjBlypRuaXwPBAJaZLfT6aSlpYWkpCSsVmvExxKphAug6ukTKJVAvES1r4mqDz7UTqKsVmtEmt3DETzcG0LHRL3//vsoyr3B4ep/E2zreJDdInjml1oxr6+vZ8SIERG9/r6MurnsrvCo4IqNJEnY7XZ0Oh1RUVGakH1YxeY+jFAbXYscLzM5aTJKnUKuN5erTVcxeU1cl66TQgp/a/pbUkwplOhLeE/3Hk81P8XFmxc56zrLkYQjrGhYwYTkCayxriE6Ojrsh3jrcAa4X+D2ho3e+2US3/2CgTvX723Gv/qT0GChnqrY9oWNU1+kN4VHhavKxsXFcfPmTaqqqjRnRVJSUsTXSnCf3ogRI2hqasLhcIS4pKxWK1aLgcSzV5D8fpRmN0ryvdFTIQdYgQBf+UmAumo9F07qeGefl/EzPMxeHkNcQoDoWIW//kKARKvCz04f5H9tA0i1D6fpvSSmn1qJ/hPH2FouoZvzHndiW/hDYQVrSgezNaeGltG/IGrT81gCZqIDAbweI6DgR6K63sDoTB1V/Ty88692zL5a4iszGTsthpbcJqTqnv98URFruueQJIkhQ4bwxS9+kX/+53/GbrezZcsWbDYb3/ve98jOztb20pMnT0av12MwGLTRO2pBweFwcOHCBXw+nyYIU1NT+0yoX3R0NAMGDGDAgAEhDsuzZ88SCAS0mbmpqakd7jVW/tz2oFa8m5ubSUxMxGq1Mnz48C7Zm+t0upDkaNWG3Xo/rArdSIRqtXcfrf4Zbq/zqJ/lj4WwDUaSJDIzM3n22Wd59tlnaWxsZOfOndhsNtauXYvRaNTCp+bOnRvRVDT15MXpdN6zL5lMpKamMnz48E4NWX4UWp9Aud1uzd4QfAKlRqB3xYMkXL+s1Wrt9EnUo2A2mzXRr36wVFdXU1FRwcWLF4mKigqxLbcOoVL/VBSF6upqtm3bhs1m48CBA3z84x/nv/7rv7rttfQF1E1xV/XYhuuVlSSJnJwcKisrOXHiBDExMSFW4o5gxsxLvpcISAGSdEmQDBN0EzhhOEFBcwEVrgrK9GU4bjqojq/mVMopmvXNZFzJIEqOQh4sY0w0Ei/H06g0Eq1EE0P4B1brU07VyhP8dw8LZugO/u/LBipuSgwbK7Phs4Gw/01P9Nj2BtH/ONLTPbZtrXH1oCo3N5fBgwdr1r0zZ84AaGu+Kw5Mg/v0cnJyaGlp0Z75N27cIDo7nlRTFAk+D8lynHat8Je1bTAqWDMVYua5+D//c560tDTsd3L57Y/0zFspkzkAjrWc5eXkf8b/upEZ3zjO8ifNPPVbhfqXZnAyPYfR47OoH/h7stzpfGx4Eq47g/nc7S+BV0c1JmLxYQZOWozIcX6mr6/kN3nZ/N77Y/7X9HkClv38of+rpCYkcbuysdesoeA+PUHPIkkSGRkZPPPMMzzzzDM0NjayY8cObDYba9aswWw23xfkGlxQGD58OI2NjTgcDm7cuMG5c+e04o4aTNUXCNf+53A4tMpnQkKCtpeOi4sLe++qrg91PyzLMikpKQwaNKhHBH+wDTu4pbG8vJwLFy4QExOj/R4jpQ862v7X+t91hMdO2LYmLi6OtWvXsnbtWnw+HwcPHmTTpk08//zz1NbWsnDhQvLz81m6dGmHxVZws7bT6dROXlJTUxk6dGiPz/cKJioqSjuBCgQC2jVHMoCqrX5Zq9Xaq96P4H6qnJyckDltly5dwuPxaHPaZFlm4MCBOBwO7eTy8OHDjBkzhlWrVvHaa68xatSonn5JvQ51U2wwGDplKVYJV7FR/7vgqqxqH/T5fJq958SJE9psuLS0tHZ/UKeTfi9W9c8kkUR/pT/ZgWwm1U0iPhDPLeUWezP3okNHYksiboMbfUDPkpYlTPVPxSt5+bzp82QqmbzhfaNdr/tBlviOBJxFuoL6qS/72WfT8+xLflLSw/+87l7f6qzkYHpS/D9OdLewfWivbBjnhU6n03IWZFnWwlYuX76stbioG+muCFY0m80hdr/aCjvKr4ppPHSCM3MnkGxNDansqC4qh8OB2+0mKSmJxMRETh+WuXMdDu2QKPg7GcPNAST+4vOYbg7kX37sx9piwvgrA8djEpCcyZz8z+G8WPlPzLxt4Qpmnow/R7alkd9kZpJwJ41VjRX4JBlzgouWzET2FiXSmCKhYOQp5SkalUYSnNEYn75AhqGFqm/1jsC1YMeKoHcRFxfHunXrWLduHV6vl4MHD1JSUqIFuS5evJj8/HwWL16s9dmqrXK5ublacaWqqorLly8TGxurPZP7SpJ969fU+mDLYDBo++jY2Fit0ltdXa3NBx4zZkyvmmbSuqVRDWUN1geq2zMlJSVibtO29jp+v5/jx49js9moqanh97//fYe/92MvbIMxGo0sXLiQhQsX8pOf/IQTJ05gs9n4j//4D5577jlmzpypNcz3798/7EJTLa3qzar2sebk5JCcnNwnrBZ6vT7kBCqctaq9AVRqv6wqZj0ejzYc+lH7Zbub1idyan9FeXk5zz33HHa7ncbGRnJzc/mrv/orfvGLX5Cbm9snPoh7AkmStP48k8kU1s7Ynu/RVq9se/rojEZjSDCEelp67tw5zUqUlpbWrkh89eAjw5HB6trVmLwmTCkmNqRu4E+D/4RskklUEkkwJFAxuILKG5Xozunw+/00ZzXDcNAb9Ch/njjZkfcg+M9ggdvembmRvEenLlCYuqDt32VPpSKLddg1PMiKHClh+7CqbEd6ZXU6HUlJSSQlJTF06FDtkFUd7aEesqoprpG+b+5Vq5LRp1lJNxiwTp2C3enk5s2bXLhwQftvkpOTGTJkiJZ7oSgKM5fJ6A1ehowO4Pcr7P7PJBJ+/mmiY6GpoYUP/ihzraE/b9clIEcpfPy0mUFN8dweF0vpkjcZccJCQ0UK9T8vY9zLq2l8S89BUzxvpPv52hWF0ScbGZHVzIWYFGrcn6DI9CGGFh3SORcWnYzil9iu2062ks1YZexDXmnXod4HrTe8gt6FyWRi0aJFLFq0iJ/+9KccO3aM0tJSvv/97/Pss88yZ84cbS+dkZGBJEkhxRWfz6ftGW/evInRaNREbqR7WLuS4IOtQCBAeXk5FRUVlJeX33NnGAwkJSUxfvx4UlJS+sSzqnUoqzpKqKqqikuXLmnuRtXtGQlXTCAQ4OjRo2zatImtW7ficrnIz8/n6aeffqTv95EStsHodDomT57M5MmTQxrmS0tLefHFFxk3bhz5+fnk5eVRV1dHVlYWTqeTxsZGLYRo4MCBfSYBri1aW6vaE0ClVnzVDyZAq1J3hf2ru1AUhevXr2Oz2bDZbJw8eZKZM2eydOlS/H4/R48eZfLkyQwZMqSnL7XXo1Z7OmJFbl2xUWc2JycnYzabH61XFkLu4REjRmj9LWokflJSEmlpaVitVq01oa2wtymjpoQ8eBdICzgiHyFVSeWG7gbxUfGMGzKOPwz/A0nuJAZWDmRA9QBGlY/iuOe4Vr0J3lg30shV6SpjlDEPHF7+oBPOcAFU3b0pFML28aKtim1nwqPUtR0IBGhpaaG+vp7o6OiQYLdHWeOtkaTQFFe1suJwOPjwww+16knEw2AsZhrWLcZZU4PjyhVt3uSAAQMwGAw0NTVRU1NDQ0OD1nuYnJyMwWBg1jIFuPfeZucoJKUqZOfKPL/GiP22Gb2SgDlGIVd2UV2bzFVMFF2y8wvXQBbseBHTlTH4Dk7l8jdLuHngGVZRzuxb8D3XAP7+69d4IWY/76//HE008pb+23wlYT1Lc/vh87Zwx3yTP+j+RCKJ/Nz/88i8F4+AqNj2PXQ6HVOnTmXq1Km88sorXLp0idLSUt544w1eeOEFnnzySS3IdejQe7PhjUaj1hoWbNM9e/YssiyHtBP09NidBxHcU+xwOPB6vaSmpmo5Oupe4/Tp01pydGpqasTCmrqaYH0waNCgEHejOmJTdTempqa2mSMSDq/Xy6FDh9i0aRPbtm1DURQKCgr45S9/yYIFCzo1J1lSxJFYCIqiUFVVxZYtW/jWt77F3bt3sVgsfOMb32DMmDFMnjy5S4KfeiPBAVTqHC31FN9sNmtVzr6ySMOhKAoXL17UxOyFCxeYM2cORUVFFBYWaqeNgvajKApZWVn85je/IT09Hbfb3aZdu62Kjd/vp6KigurqapqamsKKz0igDj232+3U19eHjCpS+4HUD+y28OPnnHSOw/rDrA6spokm/tH0j2TIGXw68Gl+o/8N473jyb+br/WbB2+sd6Tu4KD+IBsCG5gvz+/wa2htWVbv1/r6ek6ePMmiRYuAru9/PXbsGJmZmfTv379Lf04whw8fZsSIEVitVu1rsixjNBp79YaoL/CJT3yClJQUXn755ZCvX7lyBYChQ4e26/uEW+Ner5cPP/xQWwvBz5Kuvk+DD2adTmenN9LBFmjVYqxaoFNTU9ucNxlsSVaDW4J7Dy+fkfj6p0yU39RhiVKYs9zPlTM6Gi748csSY2Kaea35LPXxDXzmO29y4vXnkVzRPPGZ49R/dwn/UX8NS4zMjzIGcfrZ/2SK/zZj3Is589lMzsa/ytfk/8Pk8vHcunWLCks15yaeY7AymHnKvIi91x3F6/Wyb98+Fi1ahF6vJxAIYDQa+4QTThCKoiiUl5ezefNmbDYb+/fvJzc3VwufeuKJJ8LOIG9rLXVVO0FHUYs/DoeD6upqrc1JDa8LV9hR7b3qZ46iKNphe18K1QomeMSmWgBQc4XUrJrWn6Uej4e9e/dis9nYvn07FouFgoIC1q5dy+zZsyP2zBZP/lZIkkR6ejqf+tSn8Pl85ObmUldXx9atW3n11VfR6/Xk5eWxfPly5s+f32ca4B8Ft9tNQ0MDdXV1uN1u4uLiMJvN+Hw+7SQK7j2oe1PPwMOQZZmzZ89SWlrK5s2buX79OgsXLuQLX/gCBQUFJCcnCzHbSVQrcuvKYXv76CwWC0OHDmXo0KG43W6qqqqorKzk0qVL2pzjzg6Gb2lpoba2lrq6OpqamjCZTMTExGjR+G63G7fbjcfjwWKxtHl/GzAwXhnPeP94AC5IF0hT0shQMpgsTyZWicWut3N1wFXm9J+DHJC1h8HZs2dxx7qJGxiHTtLhi/d1+CEXfK82NTVpY7Sam5tJTU3VKrpdPY+5t6Qii7PayGA0GvF6vfd9XZIkLdwsHO3phzebzUycODFEZJ4+fRpJkrp8VEjrVhx1I61ODwjeSLd1iObz+ULEsXrdwRbjtmgd7Ki6Q9Te4JiYmHubwywrhX+bQkoGzMkPYDQpvLNXz3v7dDy10EdsvAVn3Uje+UkTVV9bSlyDxNA5b/M/Px3ArfhKzs8azJ5yeOMbVjLGjeCT84cx8GYKC4+2kLRpEzp0kAl+tw5zg5lPyp+M+HvdUVpbkQV9F0mSyMrK4rnnnuMzn/kMDQ0NbN++ndLSUlasWEFcXBx5eXmsXLmSmTNnYjKZkCRJS+99UDtBWlpat072CM6Oqa+v1/qDBw8e3GZgVDCt7b319fU4/9ymEBxA1VVtEl2BJIWO2FQnwVRXV3PlyhXcbjder5fDhw+TmZnJiRMn2L17N4mJiRQWFmKz2Zg+fXqXODxFxbYD+Hw+Dh8+zKZNm9iyZQtOp5MFCxaQn5/PsmXLumTUQHcS/JCvqqrS+mXDnZYFB1A5nc6IBVB1FbIsc/z4cU3M2u12li5dSlFREfn5+SQkJPT0JT42KIrCkCFD+OEPf0hubi719fWMHDky7FzZjvbReb1eTbhVV1cTHR2tbVIf9oAJjtl3Op00NTURHx+vPVCCAyxUe1RVVVXICatahXnQh7GMzGndaTLlTDLJpIUWXjK+BMBXfV8lmeT7rulngZ9xmtPkXcpjtHG0tuYe5g4J7h92OBz4/f6Q61Q32MHV3NaW5Uh9Zr377rv079+frKysiHy/9nDgwAHGjRtHcvJf3tNAIIDJZBIV207y2c9+FoDvfe97IV+/du0aPp8vZMRZW86LjqxxtZKpru+27uWuJNwGVj1E0+l0mgBVLcbB1sJIrCNVMKvPVSCkFSj40KvxhIct/xrgjfPJuD0SLZl3GThjH/+9J5ubjSl8MXUoVwd5KP+6mZiBF1m789v803dXUzfOh+X3k8hQMkgggQ8//JDGxkbGjx/f6evvLG63m4MHD7JkyRLtAEVUbB8/PB4P+/btw2azsXnzZtxuN0uXLtXCp2JjY+/7N21N2egKp0drV4W6F1Y/jyLpGvN4PCFzbE0mk/a5Eqke1u6moaGB3bt3c/DgQY4cOcK1a9ewWCwsW7aMP/7xj11eBBPC9hGRZZnTp09rQuncuXPMmDFD6yXIzs7uEyL3QRv49tqyggOonE4nDQ0N2olWewKougq/309ZWRk2m40tW7bQ2NhIXl4eRUVFLFu2rNtn+X6UyMnJ4ZVXXmH06NHcvXuX/v37a4cjkeqjUwfDq/eu0WjURK6acN56o6goijaDLiUlpV19HOqBj7rhftCBT1u8q3sXL15myjPvC5Dy4uUF4ws4JAcvN75MrD1WGxmm9uVYrVbt4R2c+Ox0OrXwM9UK9aD3NTiAqi2B+6hr9d133yU7O5t+/fo90r9/FPbv38/EiRNJTEzUviaEbWR4/vnnaW5u5t///d9Dvv7hhx/i8XgYPnz4Q1PKH3WNqyMoqqqqqKqq0iyJ6n3emf6r9tLS0sKtW7eoqqrC5XIBYLFYSE1NZcCAAV3+/Ag+aFanLqjppHcuZfL1p+OI8vsZHu3iclM0Of3rOWuW+PuPyfzp5yk4anQEMu3U/s9/Ik/bjN7gJLk5gXX6DZRabAxWBvNb/2+5du0azc3NjBs3rktfT3tobm7myJEjLFmyBEAI248AgUCAd955R9tL37p1i3nz5mkZN1ar9b5nkt/vv88xkZqaqjk9HkUMtnZhqNkcXTU6LBxq1VO9Bq/XG9LWEElBHUnUTJStW7eyefNm9u7dS05ODqtWrWLNmjWMHDmSsrIybty4wSc+8Ykuvx4hbCOAGjpUWlqKzWbj6NGjjB49mvz8fFasWMHo0aN7lU3X6/VqJ1/BMeSRCtIIDqAKTo4ODqDqKlTrQ2lpKVu3bsXv97Ny5UqKiopYtGhRr/1geNyIiYlBr9dTWFjIjBkzGDJkCM3NzSQkJJCenk5aWlpEfxfqAY3dbtfmxBkMBrxe732Vlc7c322NtHpUa/Ql6RI/1/+cO7o7ZClZ/ND3Q+3vgh/erV9TcCWpPVaotl5LuI//YKHbke/7zjvvMHDgQDIzMzt8LY/Kvn37mDRpUojjQgjbyPClL30Jp9PJj3/8Y+AvVdkbN25QU1NDTk4O8fHxj5Rg3FGam5u1g6WGhgYSEhK0Q6xItgO1ZTFW21NUd4QsyyGb3u4QXsGz6H//w3TKtgwmSq8wXmrgsjuGJwa5ec+dQM5ImewhCuev13Ns5b8xUjeM/s8c5dOBZ7HoLOglPc8Yn2GePI+vB77O1atXcbvdjB3bc2nIKk1NTZSVlWm5AKJf/qOFoiicP39e20ufPHmSqVOnagWjnJyc+55JanVVfU62tLSEOD0edAimrimHw0Ftba3WBhB8kNxTBO81nE6n5iBR99K94fqcTidbt26ltLSUgwcPMmrUKIqKijQx21PXJ4RthFEUherqam3m6VtvvUVaWpq2MKdNm9YjH9KtLVZxcXEhvQpddQMGB2s4nU5cLpd26qymw3aWYFvLtm3bMJlMFBQUsGbNGubOnStOe3sA1ba/ceNGbDYbLpeLJUuWMGfOHK2vLC4uThO5nQlkU0Wtepji9XqJi4tDp9Phcrk0S2NaWlrELY3h7FGq4GzPg2evbi8l+hKylWwKA4WMUO7ZO4Nt02q/bFxcHAaDAZfLdd+Mzs4eErQOoIK/JJO2tze3rKyMwYMHk5GR0alr6Qh79+5lypQpxMXFaV+TZRmTydQnLVy9iS9/+cvcvXuXH//4xyEHIB6Ph9u3b1NdXa31q6anp3d4Dvyj4vF4tHaZ2traTs/DVAPk2msxDrc21aC54PCnrqSqPMAem4dBY27z9hYDCXcUBhbI/PJ7oxg1Cb75XwG2uPbyzZmjMQUs/GlTIv0Gyfe1I3h1Xr5V/y36N/Xn89mf7/LrfhiNjY28++67LFy4EBDC9qOMoijcuXNHC/Y8ePAgw4cP18Knxo8fHzZfQXUPVlVV0dTURGJiYsjaDOeC6M61+6h4vd4Q95lapVYP3rpjn6soChUVFVog2NGjR5k4cSJFRUWsXr2aIUOG9AqnqhC2XUxzczO7d+/GZrOxdetWAJYtW0Z+fj4LFizosoTl1ulyLpcrohvhR8Xtdms2ytraWq1arPYTtPfEP/h93bVrFwkJCRQUFLB69WpmzZolNrW9CHVGWXFxMZs2baK2tpbFixczd+5cRowYgcvl0iqQ6ub0Yaj3kWrZVftS1DQ+9fffnZbG1hVWnU6nrbe27FF+/FyVrjJYGYwhYAjpl31QVSg4cKaurk47ybVarRGx/gdbluEvo4YeJHKPHj1Kbm4u6enpnfrZHeGtt95i2rRpIfeMELaRYcGCBZw4cYLnnnuOgoICRo4cGVKVVfu71bUlSZK2hrsrTFC15avtCO1JWA532Boulbi9tBbGqtDujJuiI6hC2+l0UlnpxOVqJDExgRRrCs8uyUHxmPhpqY8RE5WQAyy/38+h5kN8JfYrxEqxHDAe6NJwufZQX1/P8ePHWbBgASCEreAeiqJQW1vLtm3btD1fcnKyJnKnT58eVth5PB7sdjvl5eU0NTVpz7GkpCT69evXbW6LSKN+hgVPLFEFfKQKRiqKonD79m3NKn7s2DGmTp1KUVERRUVFDBw4sFeI2WCEsO1G/H4/R44c0cKn7HY78+fP18KnOjvAOXgeWPDGOC0trVfOAwu+3ocFUKkP7x07dmCz2dizZw+ZmZkUFhayevVqpk6d2qvs3oLwyLLMe++9p4nciooKFi1axNy5cxkzZgxut5uoqCitCqRWYII/yNWT1sTExJDKf3vWTmtLY2JioiZyI3laG2yPqqqqwufzab29VqtVe5i2Hh2gDqpvT7+sSnDPrWr9f5ig7gjhxgmF6899++23GTp0KGlpaZ36eR1h9+7dzJgxI+RBLoRtZLh8+TJbtmzh4MGD7N69m8GDB1NQUMCqVavua69R73e73U5VVRWKomC1WklPT++ydOPWtJ6vHpywHBcXp/WuVVdXA3Q4S6I9hOt/D16L3fE+BIfR/M+rmVTeSOSFH95hyPAkYmNjQzI1DBYDJ4eepNxaTj99P/7B/w/oJX2XJ6i3RV1dHadOnWLevHsjh4SwFYTD7Xbz1ltvafkpgUAgpGDU0NBAIBAIcVKpVc3m5uaQMT3deRDXVQS3KQQHa3W0YKSiKArXrl3TquXvv/8+M2fOZPXq1axatYp+/fr1OjEbjBC2PYQsy5w5c0Y7BTl79izTp08nLy+P/Px8Bg0a1K4bJ3hj7HQ6MZlM2kY9ooPnuxjVQqK+FvUE+ujRo1itVk6dOqXNQVu1ahWrV69mwoQJfeb1Ce5HDWDbuHEjmzZt4saNG8yfP5/58+czfvx46urqiI6OxmQy4fF47uvV7uxJazhLo1rtiaQ9X723VUHd2NioiWi3262NMGidzPwoqAPj1XXU0tKiHRZFYg5gWzNzJUmirKyM4cOHhw376Cp27tzJ7NmzNeeLOmZGDSkTRIb6+nq2bt1KcXExO3fupH///prIHTduXMjnsOoWUkWu3+/XNpDdFcIiyzKVlZXcvXuXhoYGrT89KSmJ7Ozsbhnp9rDE8u6oFAUCAex2O3fv3qW+vh5FUbT3YcCAASQlJeGSXMyyzEJCotRTSpZ8L9U8eJRWpBPU26KmpoYzZ84wd+5c7fpFv7zgQfj9fo4ePcrGjRv53e9+h9vtRpZlfvWrXzF8+HAGDhx4nwtMfU6qz+RAIEBKSor2GdUXq7gqfr8/pDWrvRNLFEXh4sWLWn/zxYsXmTdvHqtXr6agoIC0tLReLWaDEcK2F6AoCjdv3tRE7uHDhxk5cqQWPjV27NiQjYNqfaqqqrpvJEFnN8Y9jaIo2O12tm3bxuHDhzl79ixXr17FbDZTWFjIb3/72z79+gThURSFc+fOsXHjRn79619TWVlJdHQ0r7/+OvHx8dqGTO3JjXQ/n8/n09ZUdXW11iublpbWaWtvuLaA6OhobcB5cI9gJK2L4YKu1N76SIro4MCuSZMmaf3NXV3xURSFXbt2MXfuXK21QgjbrqexsZFt27ZRXFzMjh07SEtLo6CggKKiIiZOnHifyG1oaKCqqgq73Y7X6yU1NZX09PSIu4jashinpKQQFRWlXUdPJCyrLRHqWmzd+xfpliR19re6R1AD7mJiYrTraGxs1MadHet/DMWisF5er6W2h0tQ7+p52NXV1Zw7d47Zs2cDQtgK2o+iKDz77LMMGDAAl8vF7t27OXPmDNOmTdP20gMGDGhXz3xvaNuLBOrnjipy1T1AamoqjY2NjB49mgsXLrBp0yY2b97MjRs3WLhwIatXr2blypV9doSpELa9DEVRqKmpYevWrdhsNnbv3k1KSgpTpkxBkiQKCgqIi4t7bBYehIYEbNmyhbKyMp588kmtMjtw4EAtKvxv/uZvevpyBV3M5s2bOXPmDB6Phx07dnDmzBlmzZrFwoULmTRpEoFAQOvnU0NrIlm5DwQCWsXT4XBoATkdsQcH2yIfNEartXXxUazI7UVNQ1cfcmpfckdfl2plVO2ewSOWdDpdSFW3Kys+siyze/du5s2bp51CC2HbvTQ3N7N9+3aKi4vZvn07ycnJrFy5klWrVjF58uT7RG5TU5NWyXW73aSkpJCenv7IFczgFOP2Woy7K2H5QYRLY1XX4qMcpKmHWKqYbWpq0vYIaWlpYas0LS0tIdMLVGtmamrqfS0M7W1H6CwOh4OLFy8ya9YsQAhbwaMTXDCy2WwcOXKkXdNKWheOInkY3NOoYZcXL17k4x//OIFAgJaWFp588kk+/elPU1RURHx8fE9fZqcRwraX43K5mDlzJufOnWPgwIGkp6eTm5vLkiVLWLhwYZ+dxaqOSLLZbJSWlnLq1ClmzJjBqlWrKCoq6jNzgAVdi6IofPjhhxQXF1NSUsLx48eZNm0aixcv5sknn9T+m67q5wu2LFVVVSHLcpu2ys6O0WptXQwEAiHWxUhu7oLn5ak2SbUHuPWIBDUUy263h8wLTk9Pf2Dyc1fOzFWva8+ePSxYsEATRULY9hwul4tdu3axceNGtm3bRlxcHAUFBRQWFjJ16tT7fh+qPd9ut9Pc3KxZAR9WRVU3nk6ns9MjOiKdsPwohJuf2Z4e+eBqeFVVFR6PJyT9vSMHBernnPp58KD5mQ9qR+hsNbeqqorLly8zc+ZM7bpEj62gs4SbVpKenq6FTz311FNh7zG11U91ckV6NGZ3EQgEePfddyktLWXLli3U1dWxbNkyhg8fTm1tLbt27WLfvn1kZWX19KVGBCFs+wA3btwgKytLC2ix2Wxs3ryZ8vLykPCp1NTUXi0GVQ+/2pB+4cIF5syZQ1FREYWFhWRkZPTq6xf0LGo6nxo8dfToUSZPnszixYuZMmUKer2eQCDQZf18qqVY3Ui2tLSQmJiI0WjE7XZr1j71wdeZPt1ge1RVVVWXppqHs0nGxcURFRWFz+ejrq5OC/R6VLt08GZYJXhW7qNUfHw+H3v37mXhwoXapkTdbJvN5j6z6XgcUcNdiouL2bJlC1FRUaxcuZLCwsKwI+9cLpdWyW1sbCQpKYn09HQtaC3cyLhIj+h4lITlSNNaYAaHzqmHW+rfV1VVdcnnXVvzM9VraF1RDk5PD67mPorItdvtXLt2jenTp2vvhwiCE0QadapGaWkpW7duRafTafk28+fPD/uZ0tqtBISEs/a2e9Tv9/P222+zadMmtm7disfjYcWKFaxevZpFixb16tFGnUUI2z6KLMucO3dOs1mcPn2ap556iuXLl7c5yLqnrvPs2bNa//D169dZuHAhRUVFFBQUdEuIh+DxQ1EUysvL2bRpEyUlJRw+fJhx48axdOlSpk6disVi6ZJ+PkVRtLRju91OS0sLOp2OQCBAYmIiGRkZbVr/OkNb9qhIBl2pNqWKigrq6urQ6/Va9TOSgXSRmJkL907T9+3bx6JFi0LGOwlh27vwer3s2bNHm2ltNBpZsWIFq1atYsaMGfdVFt1uNxUVFVRUVOByuTSRlJKSQkZGRrck/D8oYbm70o2DrduVlZW43W7tvUhNTSUrK6tb0lzV+ZnBqevBdu9IWpYrKiq4ceMG06ZNA4SwFXQ9Pp9Pm1ayefNmnE4nCxcu1ApG4fI8gg+5HQ4HHo+n2/v2w+H1ejl48CCbNm1i27ZtWvvimjVrmDdvXo9dV3cjhO1jgKIo3Lp1S6vkHjp06KGDrLsSWZY5fvy4JmbtdjtLly6lqKiI/Px8EhISuu1aBI8/iqLgcDgoLS2luLiY/fv3M2LECJYtW8a0adOIiYnB4/E8cj+fuslVKzmAVi1SN3ZthbWkpaVFPBimLXuUWlnqyFpXe/3sdrt23WpAV1RU1H29wg+arfuoPMrMXLhnIz1w4ABLlizR/l4I296Nz+dj//79bNy4kdLSUhRF0USumtrd1NREbW0t0dHRmnBraGgIWVfp6endVnFQRxmpm9jW6cZdIbLDVY+Tk5MxGAw0NjZq74/6OdSdFWX1YM/pdOLxeLTqeWpq6n2/k462I5SXl3P79m2mTp0q2goE3Y4sy5w6dUrbu164cIGZM2eSn59Pfn6+5pwMJlxIY0JCQohzqyvxeDzs2bMHm83G9u3biY6OpqCggLVr1zJr1qyPpI1fCNvHjHCDrJOSksjLy2PFihXMmDGjS05t/H4/ZWVlWgBUY2MjeXl5FBUVsWzZsj7bCyzoW6j3v81mo7i4mD179pCTk0NeXh7Tpk0jISEBl8v10H4+tXoZPAcvuLfmQZtI9d9WVVVRU1NDTEyMJnIj3bfXurIED7dHBYfMqLZP9b14kMU5XHpk8KY2EgK+IxUft9vNwYMHWbp0aci/F8K2b+D3+zl48CD/9m//xltvvQXACy+8wPTp05k6dep9B6Ber1e7b2tqaoiNjdUOYbrr+dK6RSCSCcsd+dxQ+95VgSlJUptV1K6kublZC7+rq6t7YL9z8OFVMMHr+u7du5SXlzNlyhQhbAU9iprvoboijx49yvjx47XwqREjRoR9xrRex11xANXc3MyuXbu0PX5ycjKFhYWsWbOGadOmfeTXixC2jzlut1s7zdmyZQter5elS5eSn5/PokWL7pvv1RG8Xi+HDx/W+hT8fj8rV66kqKiIRYsW9fm0ZkHfp76+ni1btlBSUsLOnTvJyspi2bJlzJw5k9TUVJqamjRxFhsbq/XyNTQ0aNWhzpy6tk49VpOIu2JkUbBNWu0BVvtyo6OjtRCsjgT1PIjWya6RfoC3FVKjboRdLhdvv/02S5YsCfk3Qtj2LT744APOnTtHTEwMO3bsoLS0FJfLxfLlyyksLGT+/Pn3PUvU8Vx2u53q6mpNBKanp0d0BvXD6GzCciScHsFV1ODZ1eqBU6TbItpCDcFSk5bhLwnVycnJIe6OcO0IkiRx/fp16uvrtWBAIWwFvQFFUaiqqmLr1q2UlpayZ88e+vfvr7ki1YyP1qgHUKrzor3BcOF+fkNDAzt27MBms7Fnzx6ysrI0Mfvkk0+K510QQth+hAgEApSVlWk2i9u3bzNv3jyWL19OXl5euwYwezwe9u3bh81mY9u2bZhMJgoLC1m9ejVz587t04OtBY83jY2NbN++nZKSErZv305KSgpPPPEEFouFDRs2aLNyU1NTGThwYMRj78ONyumqvj1ZlrHb7dy5c4eGhgYtXTQlJYUBAwZEvB2gdQUJCHmAR6q/Wf1fU1MT5eXlVFZWMm/evJBKrhC2fZtAIMDRo0fZuHEjmzZtoqGhgWXLllFYWMjChQvvE4x+v187zHE6nVgsFq2SG8m50A+jPQnL4cbyqI6JSPTmh7NFRirQrqPX0Xp2d1JSkiZ0VdGubtgrKyux2+0EAgFyc3PJysqivr6ebdu28bGPfaxTB/ACQaRpbGxk586dmv3XZDJprsg5c+aELeq0bmlQg+HaSjFX3Wdbt25l8+bN7Nu3j9zcXIqKili9ejXjxo0Tz7g2EML2I4qiKJw/f16zWZw8eZIpU6aQn5/P8uXLGTJkiPYAVBPkVNtDQkKCJmZnzpwpTlMFfQ6Xy8Vf//Vfs2PHDnJycsjKyiI3N5eZM2eSlZUVUrHtij7Ztvr2VAvxowjB4O/ZOjE1JiZGq9gG26PS0tIeaW7mw64jeFMb3IfXmURnNUjHbrfjdruxWq3069eP5ORkbWauy+WirKyM/Px88dB/DJBlmXfeeUcTudXV1SxdupTCwkIWL15837pUZ1Cro6lMJlO3JxtDaI+sw+HAZDJhNptpaWnB5/NpAk9Nfe4qHtRS0dF+/M6gujvUmbkWiwWTyYTH4yEQCGjVdqPRqB0+7t27l9GjR/PGG28wbNiwbrlOgaCjeL1eDh06RElJCVu2bKG+vp5FixaxYsUKlixZEvb5qh7Oqp8P6gHXu+++y6RJk/jggw+w2WwcOnSI0aNHU1RUxJo1axgxYoQIW20HQtgKUBSFO3fusHnzZmw2GwcOHGDo0KEMGTKE5uZmysrKyMzM1MTs1KlTxaZR0OdpamoiOjpaS20tKSnRUlvz8vKYM2cOAwcOpKGhgdjY2BCrYyTpTN+eOvtWFbNqFTg9Pb3NxNRI2aPaS3AFKXh0iNVqfWhFrbm5WROzLpdLS7m2Wq3adarhGRs3bmTHjh1kZGRw/PhxEVL3mKGGEr755pts2rSJyspKFi9eTGFhIUuXLr2vqqc6JOx2Ow6HA71er63hSLcBhLvW4LE8fr8fk8mE1+tFp9NpYru7Epah7X58tS+3K0NmWic8t7S0YDab8fl8vPfee+zZswefz8eZM2cYMmQIa9euZcOGDQwbNkxs5AV9htbBqVeuXGH27NmsWLGC5cuXhx1pqSgKN27c4PDhw/zoRz/i8uXLREVFMW3aNF555RUmT54s1kAHEcJWEIJqIdq2bRvf+MY3mD59Ol/4wheYMGGCELOCxx41tbW4uJjS0lICgQB5eXnMnTuX3NxcGhoaiIqK0qyOkQ6DgvvDnRITE7WNsMVi0apSqjA1GAza33d0w95Re1RnaT06RK/Xh/Th6fV6baap3W6nqakpRMyqm2+v18uBAwe0OakJCQmsWbOG9evXi36jjwBqeunGjRspLi7mzp07LFq0iMLCQpYtW3ZfG0G4AyB1zURqZE7r9PRwP6MnEpbDEdyPHzyuRL2OSOVjhHNZqIeDe/fupbi4mLNnzxIbG8vdu3dxOp1s27YtpG9eIOiLKIrC5cuXNZGrVmPVhGWLxaL93fHjx3nqqacoKipi/vz5nD17li1btvD666+TnJzc0y+lzyGErUAgEITB7/dz5MgR3nzzTS3QZtmyZcydO5fhw4fT0NCA2WzWRG6kLb1wrxpZVVWF3W6nrq4Og8FAIBDAbDZrM3Mj9XPbskep1dVIj1dpXdXyer3o9Xr8fj/JyclkZmaGWDXVgfNvvvkmmzdvxmQysXr1atavX8/06dOFmP2IIssyZ86cYePGjZSUlGiz0gsKCsjLy7vPgqyKS7vdTlVVFYqiaLb8lJSUDt1HwZbj6urqDlmfuzJhuaO0dlWoc7LVUL2OfL605bKIj4/n4MGDFBcXs23bNlJSUrTDqIkTJ6LT6bhz5w5JSUliioLgsUJRFCoqKjRX5J49ewgEAsydO5fVq1ezatUqMjMzRWU2QghhKxAIBA9BDV5T52/W1NSwZMkS5s+fz6hRo2hqatIqp+np6RHp5/N6vVryq9oXGx0djd/vp66ujqioKG0T3RWiunXqsZo82x4LcXvweDzaBljtaTabzbjdbpqamoiLi2Pnzp3k5uZy4sQJbDYbgUCAoqIiNmzYwOzZs0V/vyAERVE4d+4cb775JiUlJVy+fJn58+dTWFhIfn7+fY4G1aGkily/3x8icsPdX101zquzCcuRQv3cUV0V6pxsddRZOOHf2mWRkpJCRkYGiYmJHD16lOLiYmw2G7GxsdphlGhpEnwUURSFK1eu0NTUxMSJE4WY7QKEsBUIBIIOIMsyx44d0wJtKioqWLx4MfPnz2fs2LG4XK6QPrq2NoPhUCu0VVVV1NXVtRlg1bpPVu0f7OjPay+txxYZjUZts9sRK2dLS4u2Aa6vrycpKUmreKsVKrVP6cCBA/zxj3/kypUrREVFsWLFCn7zm9+I5HVBu1AUhYsXL2p25fPnzzN37lwKCwtZsWIFycnJ94nchoYGzSHh9Xq1QLeYmBjNyvyoY3k6QnsSlrsDtU9ZFbqyLGvW6djYWC2oq7GxkeTkZDIyMkhOTua9997TxKxOp9MOo2bMmCEOowQCQZcihK1AIBA8IrIsc/r0aYqLiykpKeHGjRssWLCAhQsXMmHCBNxuN4qiPDAsxuVyaWK2oaHhvp7a9lxD8Bgh1VqphsJEeiPZ+uepm922Ep29Xq8mZuvq6khISNBs1Op4E1mWOXfunCZCnE4n+fn5rF+/ntmzZ1NWVkZ5eTmf+tSnIvpaBB8N1CqJald+//33mT17tiZyrVbrfXZlh8PBrVu3QsZlpaamMmjQoG4dPxNsd3Y6nZjN5h5JelYUBYfDwe3bt6mrq9PeE4DMzExqamq0bAKv18uqVavYsGEDc+bM6bbeYYFAIBDCViAQCCKAaoNUN8+XLl1i7ty5LFq0iEmTJtHS0kIgECA1NZWEhATN8tfc3Kz11gVXLh/1Gurr6zWh7PV6uzQMKrjKpc6rTE5O1gIvqqurqa2tJT4+XhOzqlhXFIVLly5RXFxMcXExt27dIi8vj3Xr1rF8+XLRZyfoEhRF4cMPP9TW6cmTJ5k+fTqFhYVkZGSQmpoK3KuaqmsnOjpaS1hubm7Wvt7dvbDhAqq6aha2SktLC1VVVVRWVlJfX09iYiLp6enExsZy/vx5Xn/9dWw2G5IkMXbsWF588UXWrFkjnBUCgaBHEMJWIBAIIoyaiKhWck+fPs2ECROwWq0sW7aMgQMHAhAfH092djbp6ekRr6wGh0FVVVWFCGir1apVSyOFz+fjzp07lJeX43K5ALSQq8zMTGJiYpAkievXr2ti9tKlSyxZsoR169axcuXK+9JsBYKuRFEUbt68yfe//31+9atfAbBu3TqmT5/O/Pnz6d+//30VUbWfVE0tT0pK0g6lIr2mHkRXJix7vV5NzKouCzWZ/OrVq9qhgMPhID8/n6VLl+L3+9mxYwc///nPRZKrQCDoMYSwFQgEgi5EURS2bdvGmjVr6N+/P7GxsSQnJ7Nw4UImT54M3KsOqXbe4LE2kUS1PKvJpwkJCVq151H7BP1+Pw6Hg8rKSqqrq4mNjSUjI0MT6mpv3o4dO/jlL3+J2Wzmzp07zJ8/nw0bNrBq1SqSkpIi/EoFgo5ht9s5deoUQ4cOZcuWLZSUlHD06FGmTJlCQUEBhYWFYUWu2+3WDo7UNaX2jEdqZE57iETCss/n0/qLa2pqiI+P117LjRs3tEO627dvs2zZMtavX09eXp5wVggEgl6FELYCgUDQxSiKgtfrxWQycfv2bUpKSigpKaGsrIwnn3ySpUuX8tRTT2EwGDSro1oh6QpLX2eSXf1+P06nUxOz0dHRms1Y3eQqioLdbmfTpk2UlJRw6tQpZsyYQXNzM5cvX+Yzn/kM3/72tyP+ugSCSKAoCuXl5ZSUlFBcXMzbb7/NE088QWFhIQUFBQwcOPC+NaIGPqm95GrAVHp6eremGkP7E5Z9Pp92zdXV1cTFxWlitqKiQhOzly9fDnFWxMXFdevrEQgEgvYihK1AIBD0AOpsO1X8HTp0iHHjxpGXl8f06dOxWCya1VEVuV1hdWxPOE0gENASUB0OB1FRUaSnp5ORkREiZmtqarDZbGzcuJG3336bKVOmsG7dOtasWUO/fv207+VyucTmWNAnCD6k2bhxo7ZOV61aRUFBATk5OfeJXNXKqx4cxcbGaoKxuyucrROWY2JiiIqK0saGBV9bdXW1JubPnj3LggULWLduHatWrSIxMbFbr1sgEAgeBSFsBQKBoIdRFAWn06mJ3H379jFixAiWL1/OjBkziI2NfaTE5I6ihtOoG2EAo9FIS0uL1i+bkZERkgpbV1en2Tf379/P+PHjWbt2LevWrQtb2RII+irB67S4uJj9+/czatQoCgsLKSwsZOjQoffd78FVUXUedSTm3naEQCCAw+GgoqKC6upqdDodsizjcrmw2WxYrVbeffddTp48yezZs1m3bh2rV68mJSVFrF+BQNCnEMJWIBAIehGKolBbW8vmzZspLi7mrbfeIicnh/z8fGbMmEFiYmLILM1IWh1lWaa6uloLx9Hr9ZjNZjweD7IsY7VauXHjBpMmTeLIkSPa9Q0bNoz169ezbt06hgwZIjbDgsce1aFQWlpKcXExe/fuZfjw4VpP7ogRI+5bB2pPuuqOsFgs2hqOi4uL6Lpp7bKwWCxay4Db7cZms3H48GHOnz/P1atXsVgsfPvb3+Yf/uEfxPoVCAR9FiFsBQKBoBdTX1/P1q1bKS4uZteuXfTr14/ly5cze/ZsrFYrtbW1nbI6qnNpVTFrMBhIT08nPT2d+Ph4JEnSZli+++67vPjii9y9exeLxcK8efP47ne/y+jRo8VmWPCRRVEU6urqtMOo3bt3k5OTQ2FhIatWrWLkyJH3jeJRhafaC2s0GrU1/KjzaWVZDhGzJpNJE7M+n48tW7ZQXFzMoUOHmDRpEuvWrWPt2rVkZGRw5MgRUlJSGDduXKTeFoFAIOh2hLAVCASCPkJTUxPbt2+nuLiYHTt2kJKSwvLly5k7dy4ZGRnU1ta2y+ooyzK1tbWamNXpdJqYDd5Ut7S0sG/fPjZu3Mi2bdtITU1l7dq1TJkyhUuXLnH+/Hl+97vfdffbIBD0aurr6zURuWvXLrKzsykoKKCoqIgxY8aEFbnq4ZLD4UCv12trOCkp6YEiN9hl4XA4MBgMWjK5LMts27aNkpIS9u7dy9ixY1m7di3r169n0KBB4jBKIBA8dghhKxAIBH0Ql8vFrl27KCkpYevWrcTExJCfn8/cuXPJzs6mpqYmxOoYGxtLXV2dJmYBTcwmJiZqm1yfz8ehQ4coLi7GZrMRGxvL6tWr2bBhA1OmTLlvUy4QCNqmsbFRc1zs2LGDzMxMCgoKWLVqFRMmTLhvPakOCjV8SpIkrFYr6enpJCUlaf2xtbW1VFZWai0DapibTqdj586dbNy4kbfeeouhQ4eydu1aNmzYELYHWCAQCB4nhLAVCASCPo7H42HPnj2UlJRgs9kwGo3k5+cze/Zs3G43mZmZKIqCTqcjJSWF7OxskpOTtU1uIBDg6NGjbNy4EZvNhk6no6ioiPXr1zNz5kz0en0Pv0KBoO/T1NTEjh07KC4u1hwQqsidNGlSWJFbV1dHVVUVlZWVyLKM2WympaUlRMyaTCZ2795NcXExO3fupH///qxbt44NGzYwatQoIWYFAsFHBiFsBQKB4DHC5/Nx4MABfvCDH7B3716ioqL4yle+wqBBgxg0aBB1dXXo9Xp2795NVlYW165dw2az4fF4NDE7d+5cDAZDT78UgeCxxeVysXPnToqLi9m6dSuJiYmsXLmSVatWMXnyZPR6vda7a7fbsdvtyLKMxWLB6/Xy3nvvsW/fPiRJ4sSJE6SlpbFmzRrWr18fthIsEAgEHwWEsBUIBILHkAsXLnDt2jXMZjOlpaWUlpbicrmYOXMmiYmJnD17losXLwIwb948SkpKIpauLBAI2o/b7dYqrps3b8ZoNDJ06FBGjx7NqlWrQtoJDh8+THFxMceOHcNkMnHz5k1aWlooKSlh6dKlPf1SBAKBoEcRwlYgEAg+AgQCAcrKyvjBD37A5cuX+c53vsPixYs5fvw4x44d40tf+lJPX6JA8JHn+vXrjB8/ngEDBqDX63E6nUyZMgVZljl69CgGg4GioiI2bNjA9OnT0el0nDlzhgEDBpCUlNTTly8QCAQ9ihC2AoFAIBAIBL0Ev9+PwWDA5/Oxb98+vvnNb6LT6fjWt77F7NmzRZuAQCAQtIEQtgKBQCAQCAQCgUAg6NOIdAGBQCAQCAQCgUAgEPRphLAVCAQCgUAgEAgEAkGfRghbgUAgEAgEAoFAIBD0aYSwFQgEAoFAIBAIBAJBn0YIW4FAIBAIBAKBQCAQ9GmEsBUIBAKBQCAQCAQCQZ9GCFuBQCAQCAQCgUAgEPRphLAVCAQCgUAgEAgEAkGfRghbgUAgEAgEAoFAIBD0aYSwFQgEAoFAIBAIBAJBn0YIW4FAIBAIBAKBQCAQ9GmEsBUIBAKBQCAQCAQCQZ9GCFuBQCAQCAQCgUAgEPRphLAVCAQCgUAgEAgEAkGfRghbgUAgEAgEAoFAIBD0aYSwFQgEAoFAIBAIBAJBn0YIW4FAIBAIBAKBQCAQ9GmEsBUIBAKBQCAQCAQCQZ9GCFuBQCAQCAQCgUAgEPRphLAVCAQCgUAgEAgEAkGfRghbgUAgEAgEAoFAIBD0aYSwFQgEAoFAIBAIBAJBn0YIW4FAIBAIBAKBQCAQ9GmEsBUIBAKBQCAQCAQCQZ9GCFuBQCAQCAQCgUAgEPRphLAVCAQCgUAgEAgEAkGf5v8DfAnkURkO3EkAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 6))\n", + "\n", + "for i, leaf_id in enumerate(moving_leaves):\n", + " sel_idx = object_id == leaf_id\n", + " pc_sel = pc[sel_idx]\n", + " pt_src_id_sel = pt_src_id[sel_idx]\n", + "\n", + " ax = fig.add_subplot(2,4,i+1, projection='3d', computed_zorder=False)\n", + " sc = ax.scatter(pc_sel[:, 0],\n", + " pc_sel[:, 1],\n", + " pc_sel[:, 2],\n", + " c=pt_src_id_sel, cmap='gist_rainbow',\n", + " s=0.4, zorder=1)\n", + "\n", + " ax.tick_params(labelbottom=False, labelleft=False)\n", + " ax.view_init(elev=15, azim=45)\n", + " # set equal axes\n", + " box = (np.ptp(pc_sel[:, 0]), np.ptp(pc_sel[:, 1]), np.ptp(pc_sel[:, 2]))\n", + " ax.set_box_aspect(box)\n", + "fig.suptitle('Fluttering leaves', fontsize=16)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.16" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/img/example15.gif b/img/example15.gif new file mode 100644 index 000000000..d755f9862 Binary files /dev/null and b/img/example15.gif differ diff --git a/img/example15_thumbnail.png b/img/example15_thumbnail.png new file mode 100644 index 000000000..8564f9737 Binary files /dev/null and b/img/example15_thumbnail.png differ diff --git a/img/example15_thumbnail.svg b/img/example15_thumbnail.svg new file mode 100644 index 000000000..4ac84e423 --- /dev/null +++ b/img/example15_thumbnail.svg @@ -0,0 +1,130 @@ + +image/svg+xmlTLS Rigid Motion Demo15Tree with moving leavesLeaf meshPoints coloured byscan position