From ad9ad9ea005b5ce4c3a65543383f1ea4ac57ec2a Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 18:58:31 +0530 Subject: [PATCH 1/9] Add files via upload --- .../Vehicle Risk Prediction Dataset.csv | 15001 ++++++++++++++++ Vehicle Live Risk Prediction/Images/1.png | Bin 0 -> 465908 bytes Vehicle Live Risk Prediction/Images/2.png | Bin 0 -> 20587 bytes Vehicle Live Risk Prediction/Images/3.png | Bin 0 -> 47340 bytes .../Model/ANN_Based.ipynb | 158 + .../Model/Dtree1_with_EDA.ipynb | 1493 ++ .../Model/MultivariateLogistic.ipynb | 342 + .../Model/RandomForest.ipynb | 154 + Vehicle Live Risk Prediction/README.md | 4 + Vehicle Live Risk Prediction/requirements.txt | 4 + 10 files changed, 17156 insertions(+) create mode 100644 Vehicle Live Risk Prediction/Dataset/Vehicle Risk Prediction Dataset.csv create mode 100644 Vehicle Live Risk Prediction/Images/1.png create mode 100644 Vehicle Live Risk Prediction/Images/2.png create mode 100644 Vehicle Live Risk Prediction/Images/3.png create mode 100644 Vehicle Live Risk Prediction/Model/ANN_Based.ipynb create mode 100644 Vehicle Live Risk Prediction/Model/Dtree1_with_EDA.ipynb create mode 100644 Vehicle Live Risk Prediction/Model/MultivariateLogistic.ipynb create mode 100644 Vehicle Live Risk Prediction/Model/RandomForest.ipynb create mode 100644 Vehicle Live Risk Prediction/README.md create mode 100644 Vehicle Live Risk Prediction/requirements.txt diff --git a/Vehicle Live Risk Prediction/Dataset/Vehicle Risk Prediction Dataset.csv b/Vehicle Live Risk Prediction/Dataset/Vehicle Risk Prediction Dataset.csv new file mode 100644 index 000000000..0ed76aac4 --- /dev/null +++ b/Vehicle Live Risk Prediction/Dataset/Vehicle Risk Prediction Dataset.csv @@ -0,0 +1,15001 @@ +Driver_Age,Driver_Experience,Driver_Awake_Time,Vehicle_Speed_Ratio,Last_Service_Months_Ago,Cargo_Load,Visibility,Light_Conditions,Road_Surface_Conditions,Weather,Road_Type,Landscape,Traffic_Density,Road_Hazards,Time_of_Day,Temperature,Fatigue_Level,Medical_Condition,Speeding,Risk_Score +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,Animals,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Rural Road,Forest,Medium,None,Afternoon,17,Moderate,Asthma,Yes,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,12.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,Potholes,Afternoon,27,Low,None,No,11.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,None,Morning,5,High,None,Yes,72.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,5,High,Asthma,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Afternoon,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,Construction,Afternoon,25,Low,None,No,14.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Day,10,High,None,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Forest,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,Potholes,Afternoon,27,Low,None,No,11.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,Construction,Afternoon,25,Low,None,No,14.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,94.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,None,Yes,99.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Asthma,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.7,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural,Forest,Medium,Construction,Day,18,Moderate,None,No,79.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +53,49,6.0,2.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,Animals,Morning,0,Low,None,No,97.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,Animals,Morning,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,None,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +59,35,9.8,1.76,15,834,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +76,10,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Day,15,High,Asthma,Yes,32.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.21,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,16,Moderate,None,No,51.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Mountains,High,Animals,Morning,0,High,Asthma,Yes,97.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Mountains,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Heart Disease,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,,Forest,Low,None,Afternoon,25,Low,Diabetes,Yes,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Suburban,Plains,Medium,Animals,Morning,16,Low,None,No,42.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Suburban,Fields,Low,None,Afternoon,25,Low,None,No,14.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Day,15,Low,None,No,12.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,18,High,Heart Disease,Yes,39.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,1,7.7,1.02,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,None,Morning,22,Moderate,None,No,10.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,Animals,Morning,22,Low,None,No,10.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,834,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Hills,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Animals,Day,20,Moderate,Diabetes,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Morning,22,Low,None,No,10.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,52.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,15,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Diabetes,Yes,80.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Afternoon,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,None,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,Animals,Morning,22,Low,None,No,10.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Forest,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Forest,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +31,7,7.3,1.22,5,298,Poor,Twilight,Wet,Overcast,Highway,Desert,High,None,Day,17,High,Arthritis,Yes,29.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Day,15,High,Heart Disease,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Rural,Forest,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,36,10.5,1.76,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Diabetes,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Obstacles,Morning,12,High,Arthritis,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Forest,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Hilly,High,Debris,Night,-3,High,Diabetes,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,Debris,Night,-15,High,None,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +60,36,9.5,1.78,15,921,Moderate,Dusk,Moist,Foggy,Suburban,Hills,Medium,Construction,Day,18,Low,None,No,79.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,51,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +42,13,8.5,1.41,9,567,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,Potholes,Evening,12,Moderate,Hypertension,No,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,Animals,Morning,26,Low,None,No,13.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,None,Night,-8,High,None,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,20,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +35,10,8.3,1.27,8,428,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Heart Disease,Yes,79.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Suburban,Plains,Medium,None,Afternoon,15,Low,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,Animals,Morning,16,Low,None,No,49.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.8,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Forest,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,12.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,None,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,10,High,Heart Disease,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,Asthma,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,16,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Suburban,Hills,Medium,None,Afternoon,15,Low,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,5,6.2,1.12,3,167,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Morning,24,Low,None,No,14.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,20,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Construction,Morning,12,High,None,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hilly,Medium,None,Evening,18,Low,Asthma,Yes,19.4 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,Construction,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Morning,10,High,Heart Disease,Yes,47.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +34,8,7.1,1.2,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,Animals,Morning,18,Low,None,No,39.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,Animals,Night,-10,High,None,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +28,5,6.5,1.14,3,183,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Morning,24,Low,None,No,15.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Forest,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Mountains,High,Animals,Night,-10,High,Asthma,Yes,99.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,None,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +54,25,10.9,1.62,13,842,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-3,High,Heart Disease,Yes,80.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,None,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,10.9,1.27,13,461,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,None,Day,15,High,Asthma,Yes,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Forest,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Morning,5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,Potholes,Evening,18,Low,None,No,19.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +32,3,5.9,1.09,6,167,Moderate,Day,Dry,Clear,Urban,Urban,Medium,None,Afternoon,25,Moderate,Hypertension,No,14.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Debris,Day,20,Moderate,Diabetes,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +73,47,12.1,2.06,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,27,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Heart Disease,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-8,High,Heart Disease,Yes,87.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,5,High,Asthma,Yes,92.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +32,3,7.2,1.09,6,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Afternoon,25,Low,None,No,14.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural,Forest,Medium,Construction,Day,18,Moderate,None,No,79.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,39,12.1,1.82,18,968,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +53,49,9.8,2.08,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +65,41,10.7,1.89,17,1008,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +57,36,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Asthma,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,None,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,10,High,Arthritis,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,None,Night,-8,High,None,Yes,97.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Asthma,Yes,92.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Asthma,Yes,75.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Obstacles,Morning,18,Moderate,None,No,39.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Asthma,Yes,83.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,20,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hilly,Medium,None,Evening,18,Low,Asthma,Yes,19.4 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Arthritis,Yes,97.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Diabetes,Yes,75.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Arthritis,Yes,64.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,12.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Arthritis,Yes,86.7 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Diabetes,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Arthritis,Yes,90.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,None,Yes,94.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +71,47,12.1,2.04,18,1164,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Arthritis,Yes,83.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Arthritis,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Mountains,High,None,Morning,15,High,None,Yes,75.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,10,High,None,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,16,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Asthma,Yes,94.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Heart Disease,Yes,90.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,None,Yes,92.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Desert,High,None,Morning,15,High,Arthritis,Yes,75.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,None,Yes,99.3 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,None,Yes,75.2 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Potholes,Night,0,High,None,Yes,83.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Potholes,Morning,5,High,Arthritis,Yes,92.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Heart Disease,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Asthma,Yes,75.2 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,None,Yes,97.5 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Asthma,Yes,86.7 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Desert,High,Animals,Morning,0,High,Arthritis,Yes,97.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Arthritis,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Desert,High,None,Morning,8,High,Heart Disease,Yes,90.1 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Animals,Morning,12,High,Heart Disease,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Diabetes,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Arthritis,Yes,99.3 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Heart Disease,Yes,92.5 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Diabetes,Yes,75.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Diabetes,Yes,90.1 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Asthma,Yes,97.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Diabetes,Yes,97.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Asthma,Yes,97.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Asthma,Yes,103.1 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Asthma,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,None,Yes,90.1 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,None,Yes,86.7 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,None,Yes,64.2 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Asthma,Yes,92.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Diabetes,Yes,92.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Heart Disease,Yes,88.3 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Animals,Morning,0,High,Heart Disease,Yes,97.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Debris,Night,-15,High,Diabetes,Yes,103.1 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,None,Night,-8,High,Heart Disease,Yes,97.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Arthritis,Yes,103.1 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,12,High,Asthma,Yes,86.7 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Animals,Morning,12,High,Asthma,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,Asthma,Yes,80.1 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,None,Yes,97.7 +26,4,6.1,1.12,2,154,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,18,Low,None,No,19.4 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +29,6,6.5,1.16,3,197,Moderate,Dusk,Moist,Partly Cloudy,Suburban,Hills,Medium,None,Evening,16,Low,None,No,21.8 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Debris,Morning,10,High,Arthritis,Yes,88.3 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,None,Morning,15,High,Heart Disease,Yes,75.2 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,None,Day,15,Moderate,Asthma,Yes,86.1 +51,27,8.3,1.51,13,747,Poor,Twilight,Wet,Rainy,Highway,Forest,High,None,Morning,15,High,Heart Disease,Yes,75.2 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Asthma,Yes,97.7 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Potholes,Day,20,Moderate,Asthma,Yes,77.6 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Debris,Night,-15,High,None,Yes,103.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Potholes,Day,20,Moderate,Arthritis,Yes,77.6 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,None,Night,-8,High,Diabetes,Yes,97.7 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,None,Yes,92.5 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Desert,High,Potholes,Evening,10,High,Heart Disease,Yes,67.4 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Asthma,Yes,99.3 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Diabetes,Yes,83.8 +68,44,11.2,1.95,17,1050,Poor,Twilight,Icy,Snowy,Highway,Forest,High,Potholes,Morning,5,High,Heart Disease,Yes,92.6 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Forest,Medium,Construction,Day,18,Moderate,Asthma,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Construction,Night,-3,High,Asthma,Yes,92.5 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Construction,Day,18,Moderate,Diabetes,Yes,79.2 +60,36,9.5,1.78,15,921,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,Construction,Day,18,Moderate,Arthritis,Yes,79.2 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Construction,Night,-3,High,Diabetes,Yes,92.5 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Heart Disease,Yes,83.8 +60,36,9.8,1.76,15,934,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Construction,Night,-3,High,Arthritis,Yes,92.5 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +76,52,12.9,2.17,19,1260,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Debris,Night,-15,High,Heart Disease,Yes,103.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +31,7,7.3,1.22,5,298,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,17,Moderate,None,No,29.8 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +35,10,7.9,1.27,7,421,Moderate,Dawn,Wet,Overcast,Rural,Forest,Medium,None,Day,15,Moderate,None,No,32.6 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Asthma,Yes,90.1 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,None,Yes,82.6 +54,25,10.9,1.62,13,842,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-3,High,None,Yes,80.1 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,None,No,61.2 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Debris,Morning,10,High,Asthma,Yes,88.3 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +73,49,12.1,2.08,18,1134,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,Animals,Morning,0,High,Asthma,Yes,97.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Asthma,Yes,88.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,Asthma,Yes,67.4 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Diabetes,Yes,64.2 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,10,High,Diabetes,Yes,67.4 +19,1,5.5,1.02,1,88,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,22,Low,None,No,10.4 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +28,5,6.4,1.14,3,189,Good,Day,Dry,Clear,Rural,Forest,Low,None,Morning,24,Low,None,No,15.1 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +22,2,5.1,1.01,1,78,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,27,Low,None,No,11.2 +37,8,7.8,1.29,4,312,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,27,Low,None,No,22.4 +32,3,5.9,1.09,6,167,Good,Day,Dry,Clear,Urban,Urban,Low,None,Afternoon,25,Low,None,No,14.7 +25,3,6.0,1.08,2,114,Good,Day,Dry,Clear,Rural,Fields,Low,None,Afternoon,26,Low,None,No,13.7 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +20,1,5.7,1.04,2,112,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,24,Low,None,No,12.1 +26,5,6.2,1.12,3,167,Good,Day,Dry,Sunny,Suburban,Fields,Low,None,Morning,22,Low,None,No,14.3 +47,18,9.1,1.48,11,687,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,10,High,None,Yes,67.4 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Forest,High,None,Morning,8,High,Asthma,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Hilly,High,Potholes,Evening,12,High,Asthma,Yes,64.2 +65,41,10.7,1.89,17,1000,Poor,Twilight,Icy,Snowy,Highway,Hilly,High,None,Morning,8,High,Diabetes,Yes,90.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,None,No,58.5 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +31,7,6.8,1.19,4,234,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,20,Low,None,No,22.6 +58,29,11.7,1.67,15,952,Poor,Dark,Icy,Blizzard,Highway,Mountains,High,Debris,Night,-5,High,Asthma,Yes,82.6 +34,8,7.1,1.22,5,283,Moderate,Dawn,Moist,Partly Cloudy,Suburban,Plains,Medium,None,Day,18,Low,None,No,24.3 +62,38,10.5,1.85,16,985,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Debris,Morning,10,High,Diabetes,Yes,88.3 +59,35,9.8,1.76,15,934,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Animals,Morning,12,High,Diabetes,Yes,86.7 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +33,8,7.7,1.3,6,392,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,18,Moderate,None,No,39.5 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +37,12,8.3,1.38,8,498,Moderate,Dawn,Moist,Overcast,Rural,Plains,Medium,Animals,Morning,16,Moderate,None,No,42.7 +55,31,8.7,1.58,14,813,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Potholes,Night,0,High,Asthma,Yes,83.8 +68,44,11.3,1.97,17,1076,Poor,Twilight,Slippery,Blizzard,Highway,Hilly,High,None,Night,-8,High,Diabetes,Yes,97.7 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,None,Day,15,Moderate,Diabetes,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +66,42,10.9,1.93,17,1042,Moderate,Dawn,Wet,Foggy,Rural Road,Hilly,Medium,None,Day,15,Moderate,Arthritis,Yes,86.1 +59,30,10.8,1.73,15,973,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,17,Moderate,Hypertension,No,58.5 +57,33,9.1,1.7,14,874,Moderate,Dawn,Wet,Foggy,Rural Road,Desert,Medium,Potholes,Day,20,Moderate,Diabetes,Yes,77.6 +42,13,8.5,1.41,9,567,Poor,Twilight,Wet,Rainy,Highway,Forest,High,Potholes,Evening,12,High,Heart Disease,Yes,64.2 +63,34,11.3,1.8,16,1107,Moderate,Day,Wet,Rainy,Urban,Urban,Medium,None,Afternoon,15,Moderate,Hypertension,No,61.2 +71,47,11.9,2.04,18,1184,Poor,Twilight,Slippery,Blizzard,Highway,Forest,High,Animals,Night,-10,High,Heart Disease,Yes,99.3 +63,39,10.2,1.82,16,968,Poor,Twilight,Slippery,Blizzard,Highway,Desert,High,Obstacles,Night,-5,High,Heart Disease,Yes,94.1 diff --git a/Vehicle Live Risk Prediction/Images/1.png b/Vehicle Live Risk Prediction/Images/1.png new file mode 100644 index 0000000000000000000000000000000000000000..24b689ab091d94a81ef8f5c52fe151478c16238f GIT binary patch literal 465908 zcmeFYg;!fq_cn+XO0nV&Z75Kj28v5ttS#2!6!%iBxLav)3ls_N?!lqB1Ofy~(coGn z1oyzC?{DT??|ie?toZ}xE<)Bi_uP|n_T6X8v!4_3K~0I|5yK-aEG&|DZ{;>8oW^P~Yo!sng&7XK!xwzUoISTQM@dJ6E ze0FpD>M9{1;PAgX@H@HK2t2vD>%$B}`1P&6D;5@+*}o5ViEObg7B&{vJNegIUK#s~ zo?e#jbN5FVwwgkT#-5O*#UFg99Z#NUKc?Q#$$4IKSTc)He?TOY7iX@^`>@1RAm=UR z$KBsB99Z42!W6JdQTE9V+hY++4g;aYV{fAwM?wC-t^!`I3abC^0;>B^tMOkQ zvD3dT5L5{nejEQ4YI5+?lEKAQoLD3{1-m!Q=8wfE>PD|gW99iT&_35z8 zgm9`=D^V=2u5O_+L1das@iTxzbBhSE0Cuw}p5XrUe;PI*?^Nc4h*x?Gv0;QMl9hQ2 zezKu6B*rwvtfA6P3tU5Z$)j64JIe8+TSqqzyI;5kiSrk1Blbo9Esvwro*zC>l6kuv z=d?XHV+B$??fWH>V` zy!~5>Q4DP-1@QiXVNJ^GQ`hE^p5v(`Non%A*c3!GsDoa>nZ)atsg~LIAzKu8u(sy6$kV}$`M$HQq8E`2E$u0EM4h4bt-FyC=#*Rk%u9P59^n#`rn$@TF z17UpdA6DlZndp>7u`L^gg8KFaiT0(F7eG(kgAW!5T$tz08JMj`Rpk|3Ak1D7COutE zp^uWVj9G~de~4ZRE$sL0LNJmx-j9lJcP#lpxYD@VFB1joU=+>fb@~R(JsnK&J5g#n zN|&vE0v^U0pP=66(M5-}9r$MXE%CXA0@{=?iU)f4JZacv5yko>9TpdPc1GrclCv9* zPf}3|MUX^fQ;`-q^&jHDPmhNRZ(B=-S&JufJ>KtDUR0Aw;qf*G0Mk+y1%>nLu-KX? z3`s7@!5=j4@tewDJ&BS$lv}X(Eft~w0f^V)+jGAPUKtRZ7pi_%S_ptHXbNtS_>uM6 z@i@N$g4{3IBRei`cB=1`J*$^`p&JDl+XsCn9RK!ccCudyv3xPk@O#IeP$0vsJ4DJ_gacICDY0 zo@jYX6=Q)9`v$k%R3^wb?CJ^ZK2&<6YpV=%Z)25jeQI3LMxNJ?F^v zvgQ-5T+EjD&}`8J0c-7}%08ETZm(*@K{UQk1*sT>1`-_Y{@!>BkRxUsd2!Asve)(S zCqHH)A-I>3iX`Q^ZWw!$Dg~EyBjFpUP^_Mn=SW~)Krv9-tII+>qI0nKS6U2;l7@%Z zIy*zLWwMtDhBpc%xj^qqcv^6Rvi_`Zs>%-+wF3KEoTS=6-|o*aeYe_CZ;zIRhX=WS zUd_=b(y_3mqyTRb`_d@>ZC^VYN4!8rQdmC&^m{2%HE2aK;?@>=KzUmx(9d#(WG;MBE>A7URpQoD2c4(qO#wd&n6RW;aw%SKs_NP{OE^@ zQ)EZ&^qcQgEG1k?!@BI0nsoi>;Nw_0popG&J3(%lAR7U1g}&~RYnCd}ZsUST71ykf zMAWQSpOYs&kav?^P3=&=I<(*w&y`DN4vuV zXeJ%`)y;uVr>3+HM+Mp=OuOhOWFRe(amH@I)p+Z*;SI|aNo?{tcL7<3Qa$m^DXkw@ zD-Wu-kWOM5VcB|da2waZ*pSlFM|%VE?}ux)<<4Hl8$_k}GxTPWi~*&p2`8OB{BX$U z%884q1#Zcs$J>s87p8Ophs+^LbdwYR7SvZ`W2O^8u)ya94hu^Ta3}3O%hT(4k(@yV zN)XD_F&yhV%zg;=J#426MbQyM9`$CmtW$=+eMdjm@d3>Ut?YqG$C(LW*_aUfsyHy;@Z1I&izvq)+|$>X>0b{d#rEnShH$sixMLN~HgOQw~_4Z|ct! z4LFwvNQj9cfb{eOv2h^VTp&XMkiqgU;~L|{CNs?7_`V{FE8kNP!>MslHyeq{S3IFk zb6?Z13!r_LVvrzxy1V>PMEztuv`<*-@1TCpUK#Y6shDdQIHbFDQ_U(&rH!Hl&$sHX z14=rV{LWR5eUv0=Q%%9LdIDJUzl9}f`dmOR+vue5{T9Ct${FOq2{6_AW%86@z2UQX z7(3M0q1jQu)Et~dH_|gvR|Qz-NL&osJ6reR;)USDN_rX_hzp?do2|Ibj+|ADy@J-O zzvY&Y-Cf;4o+EKrSY}@Meu2FQBfs;pBWuyeU|ab^@ydUWaDHg3ai!Jy*q9g=Zk|TY zWPqUCC#g#JJL)K;?R{vT)}W{3&@wsCHMgL6e1KIY8f2wo#_*A;trX+gpvFc2;w`A~ z&(W&9rfq;r%M=!!V*J~U_3v+-*tZMcTCwEjUkGh1vS9H-Kt*XzLAA26iyy}RC=?ZF zZPCyB$h?)f;l&Ci&uLxr*ZKkPo`7k92syKzIH&Km6NY3z8U(UN{8|3H+lez1g}b5$ z`CNr&iEVg{m_9ZHQ0j9ufvRRj!^!R*Kye=*3l!I0zbBD+%$2L+ft%@{@*=*Kxv~qnZRJNKjXz)nPmm@m11JzTRbS%iWsb<>W;iosJeX!`HG`0v@t6VG*aPJ+t0xe zz|#OCv;7bOrOL-RHI5f#)eBr0)A|$UP}H^;)BEE+7F?Mk${(!d^Y_7iHjOybkw7}2?Ye}hp zu>GC4#I=l&VF?~|OSG=^1i2w?B&xtsXJ3_ha956594H0jze09==cZi=!TX`d?3}OE@f%=@u6kcX_?=4f`vR8>+=cC-!WF zPREAFlSCtUa@B>sF6P(Bm2cCQg0mA~XH@8la1|L$T&(h5fFF0S6cbdp@h5uY&G7kY zI*IH1tjPv_3wi2tN@^%4vMgJ56`>-!Gcu__fa5mU5x3{S>#PU>(##+M;+F(i#E{H` z*``M<+uk941oy_nf8;G`Ta0CEyJcyj3xRQop1#T%An55vEABImChBOCqJy3@{P!6X ze^$2;5oCVVro7q9Z$vKMLTmauE>E3x> z`CCvHFl!mWkK8y-OS=K6KUf}H_#Q{@_uJ1 z@Uh2U-m?9lWB|ZXu?}?P05RKl3pm%EzAryM^?G~~^mNmeh9*Yenk2LlObh;?0{OO@ zq*iknfjqdm^k;c z(a2BzJuYhzIk%Yz0J!vT!GG$BE5i3BvQck|*$f4fN57Xw7#eOQ;=cr4m?NgvQ!=2! zRENyrwpujN+Pa3}R*gT!*vRRlY^TW|W?%=cHhiE&n|7}g`^n4MBmrNN&na*uY2m@2 z)18P%)r`zj*gOMDgB8EW2YPqwjeCj}>9@~vSU@W9d#GutqrujEjlW9z=#f%`U%G3p zsiPI%*jUhO7plIMA4m$djS3G}5lWtVseFz-P7H>z-bV6!Z4PC(*uFwz=Q* zGN!4QZ`nygQ*%J-#?!cH6Qq4<`C*Fk=r$~ag3zXo7Is{){n88`YGuTdMA*AcndgE z#;5EYI9b!1HUvzlPky@aJvJu8m|usNW*>qp*{kI_q75B!agSI*Dt9b!Wpl(0MdfW^ z>eidQZrAWoV|9^E5?tA2?Jz50Q~gg8MwWR(Bq1eETt}CpL)%TJsZ-y3QT-Z6l}~1v zpCo$!)Vrs}==`AIH#|Ai6OE$)UIWInO%<3FRBSpfhIdH%Mnr7X`xSmk_`1H1I1Q-0%l z(@On{p1bMPs^>YEMG-(#oxcfm*P))Ec5lPSDR1MJeO_t(r$& zed)skLktfd%*`gd?8%jy zPwTR($j$RJ5}xqEP6e04fz{^p<@bU2HsQ_LPpD)}aP0=;M`aY8P(ON2e3zbtM3}_G zWE8Z|JZq72RwIss!Z0ICpYg0DKw^TmRwVQQwy6{MT&rV*jpk-I3bq#x_4>MaK>lMG z*>7PoSSR6K`hoEA-aXEhpG`y^CCL2vN|o(V5+bUEOE4o zt#L6Z8fgV21Hqe;FlGeQQ{-RkGL|7u7y4p%nLWi2CurN-&|}W3zP|o3F~0cS<+^^0 zixn6`LvQ{$v@m=>R15Tm5aV?4vQqdk7Hm?PL$i4nd!^Mu-~fGEXXr?sB`UUri5y4^ zCNF4WHeKNB-a8c5YyjV=?XwvD_z|m_B*F9u_z6CAdzvc721u4H$OzsAf(ft$M?4eY zPPwyP{&3~BmS5~6_I2+P;Iyo7 zlCJSkQ^y%!$2}T#GA>6p@#jz95NEcERMmt##+-}mTOSpIiSu#fng{^v13rvN=H$$k+}c_B-NU^Xio1?451%stCK9;G}I@Uhxg5fD&qR^ij>P% z1_0<+xiQ~72ZD(^ucxY;SH2Mm5{J0&O;1cu4{#M{0R5tuQQOVyvFjZ-2RuGmZW5}z zG>k{;@*Eszy5KB;mX3dv?h?M(7`B#HI{_>*nX{7lLts*Am*AI@sw;Xy7yLr2QT9() z3fDJIOpcJuLixP=5Zexy#?8LsJ8n(&2ijB1+er_U5ymRdj-T@SR_ISsreBw<*fcJ_ z*FL*9OB-dICt*`@AB7*L>h%x1T1cvNv?i&OZ=oXR>|_6JTwUQZQbl)~`14 z$ihrgDRvTvN!h-M{ONRF6e=mdmz*16vve>GyKRCdnr-c)PI zi5NFAF_&~LExlsL41?K`f|b^{cNQ;3hu___KLu#Ut$JsbF$+kX{n0$S@>_75RK;5G zT=wTR>By)wX!^Zyd;GkONT5AlHC^Ng9(V^?@&3IdyyNC`xu?ggXlKWRMx*8PDP0>Q zRrndr16PKs1Zo2pX~E2Vjd)S}m^Ffif-Pw1i#jA})MY)?Y^YinHR6LRr5{jdZ3t7vkK~%OM%zbFXf@;oH?cW>v-+;{j zg;N6R?6fNUCSJ}M%E`&$+GHFZhxWQ|j}?}dMj)IzGebxv9@5Rv93Qlyw)RZ!eOfd! z57lmF)h}1lV>hGoja$Nk!^5MCRT^l zORZlK`&6b?Kt(a9y0L(5C=g{ay&}|gV&1&;q)7jP*19JLDhsZu&Cy0Wvqu2$6)qP{ zjaV1kRI^(sfS@gZvD7)rCX@Gx@H|BJ+qA~cV)=(~Nx}2EsS2Jl3<#c&Z6w;uC`v5L zEh(?1lHX#Yl2V)&6=QB4oT@#S(U&t{@2<8j5CZp{FNi~w1%CbHscQcAfQY8Xv>T_Y zdF|1g+{fD)u4?o`S+lLzl(&E37iE}`S>p|OU(tsk;4QB+Zv2BMe`RB@%XkhYU18}N zP%6+U$GZ*P6ZsihJw10B%L6OZ!;AJm+i&hDORBFQ$()IU2zfw@(BT7~zweiN6Vl=m z&gR3}17f$?u^(QN=H^}-TxLG78q< z%&=bAlm{AaE zN{C%jkB2$ocL5n~OYRu>306GQJimqx*$B3QRgYvLG9JuVw5SK=w*)nTiz%gt$T{N@ zuwfRbsKfeXXJ=BS{|l^LHnR@D^C2b?Pmb5iS=2!Ut_I$%CsA&N2LxSxW*(9C0EKbeQ6&Rs&c6YJRzOjYmI|K0N6 z;q)p&<30oWo~tw!Hf3MjuEqVE%b3@Nih?M@%7-xitjCi>&dAh|F(tfuD8O6Ep8o=^`bMpA9x1`8l@iMrX8;CP@TD|)9G zE0xll`KS;6h$RK)#F1#A`7gN@7`CMBqYzyK@jpKM8xt6&qVqr*bo4vPCn!TwE5~`{ zy;`|T7;7!3Fl}V+`!e7rx!fGA!9hCjmECG+^V|woqXD+FV z3KJIoW49Uw&j9OPPof=0xfq%%b%<{ZmET&XMTiNY&QgXvE%b$=SnTM`h~?0=3&d=g zUi=K66<|8WlJE2}vXruo;R6M{jnK?_q0`tC)U zrnln%li3f^%M%i)3(&b%h|gMEbf<>zrzJ-U3D(#$wr77>ssA=8c5Y}7>F5JTK*tXC z8@?lRX`Rz4nkYzr{aSG@(vMlz*Z7Z4xMVy`qTa?*)Yge4+#5V z6`U9~D^eHfYaY%HkGG@>{{%{Nb=l}@QhPg1{HMFPrroQe<+9wD$6McC3|2f_WBp~c zFm^mgv&|<fQz66E_k}2Xvs_6a#J2V@U;wI+Mv;UR< z8qGlJcuA`69tav}g|D}w3xF4-fdjP{xh?0#m&R$qTmZ^}S4AoHHg)x@oL-LKw53hH z9hQE_LC~ozO8I3tyqq*VaV7o)ORWsw=ZgBoP!pj$@euFLJ6Mt z(~(vZSystn!ouX{?o+b4#i-tmV*!*pJ!!^ktNsUKY6XU+!yYR6!J%bNlXLg_QUZiQ z!P)b}aPycKdoFb@70)60PMk@07KjzuFa)j+8-b`FfvnK^-&-L&?yCU<_3e|u_83c# z5`jzmDD}($CL+eY^S=w&ZNa^a)dP9K1v61mVG#;HK8D$yo26s0*F?-70`g0#6Lm+1 z@2ld11FlaT7N+i8MMz{~94==Ce3+DGekCyk5(U_ZkZ3RWom^vZQ*(WH3`UDhtt#*F zPHIv?-Gj%o;XcEmbn0^C35;8Pt!7^I1JZ6lkaP`NWRfuKscGab-na^aIrRhWYDPZ! zF)%#=uAUY&eO2Ff^5VZUIW~@+Tg4U2T?OJ4MZlZBxBeZ(fP$uJNqW}OcgW;wO3={I zw%yZ%%`2zvYJKW9vJ@%TUIJ&o^)^Df{**0BkaQySj1unQqB|&{m+gf^8HLUptZBbv z`n2mf;4YfrdGobG2NQ9qLozstJ14)HWyqJ`KXz&13yN}R!ufbR_9p|);9^}IeA*v(0Z(yaA%oj+@{QV#&cnAT z)n_L!zW51=SFK8=;oLl)U57;d4ErDB)b*+((WLqw&)eySF6e9Z_>RKk26?e)%kQs7T&_xfd^A6R19(Oq?6Z7B%U% zOOqYZfG{AYjcb5cpW*L8?<%2d+W=r;AJFKw_(ZoClhU7AH`TtpGNi|VmOj@&#HH>H zJd7v_VW<4-m5H?hrWqt%D|6Hr{$^9z#W>Vg(&q-{lC| zNB@H>E>uCaMB;5ZQS3uzkQYam6YDx;6{gOocq$M#i}>GH0SPUR*Ft+o2HNr&^xyY= zh~?IEEM4fK^`H}q(*j+}Gl3$$hStBecK9r2j{V*2BWm&<3Q`cTWk4090CtG-(Q{?t8656cngRXcdWhmScaOfO6GFV!}qnw%q{gW_E67TFAZX=pF zcA>eM9%u7iPxexN0$xGymD)eC{;(7^MD-Z%$etKCnXRwfRaVqv`}FglRk2*>`z7X~ z1_g@6{BAn=pi${WU)}kH)FcYo2ep{h{(jOo&5r!Ke##kbZC}wg;e%FEeT) z-8-wT$v>?^Qg9*Q(;f-l$RmnVnp?y1iY}20ziJtfOO#DhUEVsQJ#%|t^Qe=KiytgW z3-Wl7Fm~^PY`(wR8LKfjfFm*SV9e5xE;N~wntYBDcWzW_8qFqk?DmXhqic7DO4{Ro zH}QS4?$YS7Au0xg3}MlW4lo(0+m{V@%n?m%XDeQ=S{O8 zA#2%ye1-INJ1kQA?Zv$B8Nl)az7 z{)qqUD3DVFnH~)1HGG^&{Ygid132+NzPFp$TGG4dLbTUJcHWgbD!aV~to>&nt)f0lF zz0FAI_n+dr^=&0Tv4Y6V>^xqefED3rI?we*shKA~Gb*7|dk z+UR`daz@JW)gk8bS=miY*%OldXMojfrdvPA=&2?1wqoQnTQv$efmOeaS?$b4siUnH z@uW+)2c^S;s5dLX+5JBK#KYl6gQcS>A9n1RE|}y8LXv}%oL9Z)m1~8CL$ocqhrPKd zTF%KG?&n>|t8K5aaa&}J>AW6i)0=;E6UP=Z{LT1r29|IVi3${qM`--h#Awkk9AC4Z zUDW%3gIM1Q`~r($tQec6g8pOiN7?ioyX69!RRCb}KHW^AWTRmhJ>;${U_!T+JAh1I zbo3h(B#-nd^HXIX(U5=7j^gmH*h}ZFyuwm0Hy$mU_1|dcC1O(|um5&yvo|PiHZTLr zEP@tL!yUO9+WaSd#R|_D)><61;+EqquJx(()w(Li-F1ubW?=CrkDMlO1>>3TJppEt z??aqe`BN|ar%9yVI9W3a$wk>d+Lwz79B2*<1Rdr5r$&gkF2qxEgi;Q)Ui@kRTps01 zUs7yvA`hGPPi^g@u!or(FW672kC$5o_7;w;IOSnjg#2K;iJ}@t}9OiNvbiSHcgrQ^bVGxd;%^9~kv|m<^Vq;3by& zqgSccsY;UkoLPvzk;B^A&}1m(oY7gZl@yHRfklAiH`|R;7i$-dNd@*X70X-w(Ci#- zW#F=rpfTla(=%_aOYYK~1c^YqcOBVpxjxhDk&}Z6IZSmS&AUt^I2MuDkiA1hk`X;h&PKpm*i-ok8(NUhdgw zyCr4lXMm~rgLOcn5!4>D!ZxCT(4~lxf2BChFzbIbx&3ci{DafMbhY*j2*C)60Bda> zU=fww|F6?Z!xp zN$1`<>+c;Qy(lT2a9HdLG*q3!rCz1zr>?||>KKv@)n6Me*ht=uqB3^jUP~XURW;dK z9Yc}AX{ycywlKXZEeBy*?wt64M~fnCet%~U3tum80kk4oY))(B!%8eB^J%I=5Ppxzh)H_HsJm{!g2<#sRrThEyY=c>QUYkRHgI_Gi@oT z+1Q?4X?>m(2XV0{AM~GHL)&omtm#7DbK^F!#U2^BX9%yiNsS+Mo?1;~eJ~Ss)k6;w ze#*ZXbzP*|@#FM%!h$_q)pMVh!|xA4?{_BZ^bM<_{eN|D zesQM!NX<_HP;{nAq4d>rLE%|c(0o)0884gNDJAzf{LviMp2d^&r%CXSJ4EA;%W`_Q z8R4u714E|PxZVP!UV7HwtBAEKWpBRduRxe z@W{S(_&bH?UnzX^#oHa$1Z^ek>aqz{_E|TGUM{mV+tjZQjbmRQs3n%gE@#LtOgH7K zw)7B6zYbJHbfJ!*I5h6LnyI?z7vCOOqjkha@uGdcSn~t+I0T6q2Op9jA-%HWRBL6b zytl{$&K4*OPQ+DuS2px-4qJNFO+D(rh`KCyl~uvVvjga`V9|n2yKKVWO`cr1ATPZpjJEmvw)GcC6Accx+IeOSvrr!03h*S0QM zQ4Xo?&fOF;9?)9hP`5zYMJpgZaEYj5_l_4AY=iZ6gkeiNFm010n{B-i>TAoC|1Ica zh?V5*)>tJ@eOYm$`m!%ioQM5`oZqx77GX@iJ+<>4xEe$#SfMB)ZoY2K?tedSPIWjIPTIp@mXGg=g6X`MgmJ@%It z>V*xp67u%O!7HBZQ)M|zu}ly8wA=iYJWqKlCkmd5_-%!7?(ZsC1=zX~g7^c+&#Z#N!|sWVi(?W_sYIjj7FI11THK|k z0AaCNGXrUEPI#lNlMwh2#^%fSX%QVrz(> z!xfkOZ7|UK`DU_E!9BhroEVLsox7PA^i2FX{@cPGt6`0+E)UfAQW*e z#MSZjo>_~TRjby8VyI;iBhT)r5b4kYR|Busbu`n$Ey1m1t+}drvtw*kAF={WE#2CmPNTC%%oTHNM-fO7|)&cWCBIf*&Oov-AK}4(=}%n9fGa z=jK_rr91B^13UgQ^M09anHvLa7D)f2+IsYC>B(YLdg)uOmq;&?(PXypgdGUS)E*t3 zQL{Ljq<{iPAK+$L*2wvGLP>ipUK&Y=JeM}D*$ z`<Iy)eKKMK~Tu8mQIKtvTLZAqVzR?_`a(?>rfKbhWc zBcJQyyLZzecihjX>@k&?>F}=tdUKwCQPa`s*)+yem^4aO^U|XilQ+SR?e{y=+^Whq zyphpb0Yr=zvix+)TO!18ip=oVgpmI{xhWL)J5h}!F!MsHs>9~NkbR@p4u-NjTJaMT zw;8u+KE|-vfR0%(!ay&dMK~fEr78qg`0sE91XmZ!FNT>ihSka*H7y$jvskR0Vn5ES1|J9qoz(RK4I-{TdF-^uc{uVh z7|`yqZ^y9IJfl<}L)ttsxXt1Nc^~xq^X@_0=ryi9<|*%=f)-yn9DXRng*}|#YzcGy zMK$Ml^yZ5cTKHwR#l>IWQ=7(wk&ELu`}|UdTS~EP_A{C-QRvO2>C+3U7?Q2JXLW4V zcIpmxoS?D&<7ovz;s3D8)C5UFk|UqPFK9ZznUs}1FNhBo{P=f}j$We&_v?p6tdGx; z$~M;2_Y21g-2Oshd99Z&;*I(-W_rG8o5$c`ULj%Y1)Hg(>~mC&^I`XDBd1Rwd~H}r zykx7gO{<1joV3Vng@!((q5MYjM~1k9MI(K`;OPf0O(ltCSXmZp&C|QK)y4+&48&yA zNUZ4HwELV$yjkZkjYdlk=c{&|OVAp>9itJA z0rV+MzrZAzf=jAm&B~Rv{8+D(+K4~1JO?+dBuApA-IRA@gcIq5*;oSJMfV)$b3Mv6 zG@7fI;-&7{-)g7dvXgWhA=;iXh&`NqZfKuL?=LD-9*{D|2?X^El`Bzkn@}_`8;d%< zz!I%8mK*mBm~hn!Gl8`R--LAr)S<|TKet$dxZr}^C8w;Kf;28$7%EbmpIWxQoWo(? zx7r|SqU@Iq7dF)--^H4tUmg?udHIo+&Q~y1#h+w#@T_r?2TFG9A@}W_^mP`XFvq+wnn;c#6;3HuZ?^IG2=gjrC3oz%qF-pV zKkl6B!&dF=6De1!p9zB(l&3SW{#PGHCleXCQ6yD3LgFkYXk^4~+S-d>Z=)Y}> zBzn#xpORnRMhCrg#Z)t(=XG_cYK3+63v|rgNEJ!y;?lzKmn!j1)sYf9@!sQ-A{`lL zXsxAB=(%5mY9c(tg(-?**W<=F;%CB=ALazoe!=u-YFb{IpG^Yu*;D?Dcn)Fup!a3| zPwjnOC*X69suI+!6Vq8f$@d=Ul_&n#8hH!;VKX41%{9Yog?pJOuC%tpFs>B z&cho`9J#q7u5TI#sf@o6>&p22GN}VAU}oiq)a^df$yCjOq+#{R)9mEa*vi`N^TzzQT@c%3!rVg{NNBXAPyPu(lMFN=`A7bI+i!uxxJnbY-TJRv(M}&~ z!_q6F9^z%{e5y+yK4LuVQa(fORxHCQ!g7hkBtnOcHltc2gNAe=kQM}oWJjA`v zOhqYc8n&}kj2h{S#N8+`?tp0E2B*`kGcs=ci%xC5V_P9D+V!oauUGwv(gRFI)s;Jz zt+N!`|8m5O4en?CvLx}bMt{jC4WH` ze?h5Zr)p@_t;fqb``DyfrCH(2hdVg9aa%gP%R3l6ni~fj^S7mqyf&2u>)onJe^7^t zR+~!gGNNTHFCjY8vGnxCBOW78qAN{|C5NcCnK61{J211vx5kah2kSz;VHEWjw-*79 zR;t}-6UK5kb>76pyJLSzkS5 z+e3p%i;c#&;&}V-NlUybW5s>AAT>sV8Ik#z6FAUQ3p#w&Rm!8zX0pABBu{6Rvqh|Z zo4bgXB-Sn<5h{w>Bvy{WMB07>-Ci8aFvIz%OiX3mLI%|B}UKjZ7k## znxts`Vo?$*R~S(Jp$YG9*pB`b%A7N7TllouguX6esK;pv$aeb)>wI0E$s|zV&>JiH zPe4K!l`pF~LgXZWkg`sZmI7`409LjXwETPD9i;nv~@na^)mGkY!B!0{yzg;1aH62P|w;J4XeiMV+|5_JWl6f4*=Ec2^ezp{vcdc08+8Wg?{l?oxY)?Hh5xgF_D7%`Ay_RSi2 zh5M98Y~iAbwsBY7clyFBXK&m7eMOhBJ&nBD#>%{F$+0b=J7~!M$y9_5X*|>s$FOJ2 zp14Qr(l{WPxh8Lv3GkNo#r`>GzCW34){Gp=(nXWhtXDKC&tV z!4PS_R$$&5dFRKdb@_*L4H+-@+N5T${#ERv9WM3hq`|m$OL==W(L*-cbp_{9ycGeg zJASlBw-T|LwN!{p$$;`ly{SGtQ0*)0h}XSN@(T&EI1!L=;xPEHQi13Jp8d-#JezNpvXwJ(0y z%K(DTU-2c?U|jCyzFVksP+0K0LMO#53L5aMX-<)&QEk~A$&+J^VOZYH(ULdnnSG&m z<2J%xc|nBf1pJa|`qBZgAGMC>=@l?Yr~&hfwYwG6NBMV+mrUmv{kjOmFaW*?PAcl| z24wAa;LIrFnwmmNt|`84X~>-XNtx?(d4U4o#D07L3o?4$wG_6_DD!?yIb?NJi05G` zYm~~DBR58A@QqjNjUC$^|GvSAtgufp`B7)P_M5`$AMZ_w&Vm)X#-G@dNKniPF_-dJ zEgu?;IY@(5YwczeyuA1Dvi19)#w-KOd7oM8Qr4A=ckEbfEasw@aCLqLC7Y#W#t&C- z=bn=#jyNzomXk1bW1pGy)fR2toPD|HO`hq@?%f?Dkg{j1F+jxat1?ogUv8bq7Vs=e zFEl=D4UgK&R0?^NtYJMFKtEd@h~BGjZ2S*n>2ftp$YzX5P3lN~3!Y6zJo>o(|Al-B zhR~9OA^@PBjkzq;zwq}NCM_>Phx7?CV%IpxYIlIOu0Cm(PjF%f87%_oK4MN*G)qg(dc3f$c1Y>aoh>aMo_U{Ct^MOY2>7-wQ)=R@fAt$)kW%cn zPp4dnfU@0JeD!nL-t49Y6%*^zEIlmh4xh4Hxfu;=ZUv6cjG3WCqm-EIwnKZk_Olbl zM*&-fH@28t=PH2omE=ZA+tZne?7NF_%t?;{q=f>4-EuL7h>^S)#2v_^eWydsZBV%4E$GyY1JgFE88Y0aLKe9w!i(6F~4f3(}JlMCLj%4c5nVwjCd@{FOfx^ztazR z)Xf0`|2VasXrvR9&)?kkt5K(-+}vOc{Vn_-%dYq6zj&YvTNgLt2hHovsE(UQSwfj= zlu`YPx0IlWcWC$PT?Qsoi$K{UH=jWQ)GLl`fO2T-3ZZ<4zhZx4i$lQ)()ZTCNb+o^ zw47~G!Kty+)Lu=j=lT+bmFPWj;qnUYsi))lfO^c&#rRvt>F}>KWg9^Ez+C{oM*hV* zC=){zt*&=?GKPUP<_sxXsqZctdkJS9E` zCb_(~zR^eA+hLKG-AIJJT*pI&YTlLssrEMvSbfn5%nT60Oj6?U_I8|X z&vdXDfv|}4(r;YbhoL2pkPAzm0z=l2z6Fu2-L}k_2+oI}$VtntsGd@?*mi#Hs~uXX z8of)H_+wIBr5n4ykY(ld=bFsM_zVMFqfDeIZirq>4tGywbA0yc`%Q*QViM`Uo*Q2t z6v*=WUbXQg>?M2!8Ff+of(}5ja0G+^6RykKE#(4P;~E_{2W+wciE!8J+XopEsO4wv zoGryS)`oDa&cDt~Q!Y=-eL55iDY2exZ$jIf`!b>h&U7*KJ#ZM0SV zwcsH= zaM|y>pv3U&Jy=4EgMtN%__1-__c;|_G}yy@j+ABhiU@a(KkXZlSjn|Yj|a(9-A2HKA6(`+Sq!%rhZgV(hMKI1#+E-iQQp~yDcPItt@ub+?IJpu#9hXxYNw^&k zlj)NqlkP)bEW`aT76*?vVRNnSJfoumaZ=5PJw$W$wv_j`+p!7^6nL7S1t-oLo!8uyUs|PB$>ozC$~=~HFw5NTGE!GKY=+|K2{*Ic(dm= zDe`!`h*sxl$`{2lanQtD6}Xr#)^4@MpIOb;5X(3nm{2c?Ny;#V={l!=K-S;ezh4o@ z$$O=QOf@${QP+D^7%tVz6xoxQZ?)y;_s{6Qu7|28dML#LrJJwanY8>LH3VPzo}!!j zuCLC9Ij>gpc@*ozn8O&C4{4HL3L_`3irLO|gLB_(+T8m~UN|m^<@tM9Q7=m)1s#!> z!U9Nf-M#dF{mSh1xmk&h&aD}|$|okq$Mn|U|J)B?DC9piB_v^|}PULWncBnI^W#f5H%In0o6 z0l|;btJ-s|eL4s}1SJn2hi+;d2j4FUW-mHw-=3E?xEPtP%w}<2DcqPFrKP25w|XJN z>H&I0Y&1nEbzxd+h>+DhvqS3t;G})S;fD<5(J_|{w1n~3yQf?~hL6r}?uCm%8L*S4 zmO~?PFkCT{IdOX(zAr|hUij3j^}@o}gPC5uMw|&H=Oo`|G^@H(p{iL|@l!kNPvA4X z+uN44%^YBAi9NrIUNE@4Lz^8c1g0z6w2kWfrS5#K6*`+dfium=T9b>s#a}SRC5OP! zf1P{(I=k!_Q=&y^+B46>vo@%e9EHMdq}%!P0Bwnlbx$U*M*BhFIvqO@Y6tBb5r1)? z)iw!~dPIM-HTB_D@57<%zou^a(e8f$m>yHx z!+YM^>q^%R;+;(=T@C9n`P~pj4M#%)VW|+GAC_%A_uGvYYCcPYF1qs9+GAO+e#PXadSN{+w|A<8kRXre45Gn_HOSIwAs6X8R7P0-+Tj*4Sn3rTnwyqL-F5Bori_uNmv z((r~V>&mq6cH4>6ho8$j^NtLn7Pq5w+cM_Gx#Iedb`#!aro=Z<;ySS2rTf70v0I%H zDFPu~WWx-uDqSVdg;z3^{3*+Jw%M)^4uY4czpCm``xmF4`)K&Dzol8(%85lpFqbd0 zI(olk)+k-xDXBmJ8+ypOLF?(5T+?agL~!Vrinz8dZCjvf4g)3Fy3>K(-P{dR>ob7_%Sf@O9}xq zYjBtVk=X)u&yH=m=H(j;%{{9hlaQ#+9a&GO!Fu?K)gh{J9hu^vI1Tw*Q#~eLTEv5@-VSR%kY(=IbnKAgb&nHIXm-N<2O@|D&yiGH-^8-8eqR!PQ+80k% z>+?b)OwaD=Fodb=8%V{nIAhXhZQ`$N`Uk_SxBY9UXD*83wLcvMl;+#b+@q1-!MTTb2lQ%KBdTMITwWr6|qJ zjKn`@kKI=NA{^j>TZ%0Bz>dOZqtX!NBkiu9)2ycjb*-iHid04Rx68p5H~>N1q)F7j z4jF1E=lJCH&V}oFc6Ya8r!C1)7AtBQFw{)3Ib+4DSt@4a*3UJM^ZiJOqBGm99-qBI zDd5e=#0get}G;S1HoOd!~r7!~X|+VWnCC5_UiYi(&{ zv+*>}c1yOq2Na5aFA_z&kwOla_XQH#Tq-Lk$og(z5Czr`zfk~Uldg8Vb~aBYho18) zJy_uExn@rIqWX0p0EUq@2Mph1gByT3Goh*!C!6PWK5N+o_$1PQvAdS52iZ&ktbVQv z;{o)>A(3tI3fntH`2!39H`2wZHmw^S}HLp*b$VaBDE1pUl{EV#i$E95ZHmitKLZeEOeF&LcTZHx6MYD0@q3S5 zoz8Z{X54d3xW(nHpAS)-oG2TDdU;!YCQkMd>#FHoj`YAOQhpZJe&U_Gt@1S6x34ce z7iFd>+U!H*AmBQ<1k1SQ^U@8%d<*xnx_luF6Vkjn|>3i8Q=WO_~L zwHo;!LenOl*_(V6ph*#*mfsc`MHeR*r8R&+&VU8#p&=zOffPfrGZ9@3^qF>O+y%AQ zbL`GP{KEGAY$i;D6f_D@VWOVY%|99|4TVESNEmbMd#yWp7^sm;8$3c^E4xa0$pQJ~9uy;dT7|h9g!M4uKg!$ja6OP`HTXDec?aaOrJwd8g0gSW9j9A9>XG z?m7Y?@|L4oBZEJO7y#fu?MAJKk$UI(TN{Jn)vc9<*{T39hacj_NiLH`46cVEWw&29 z;?0h|71J8N)ey7NB1C0PjYP|nEa3y1RqtK)*xG*J$MqY_Rr?M3eCyN;5N-w!dny8Q z5{^qfz_f-led2}6_7kuk(Yu?ydbuR9=4*6;juS4=FnLG3#J9OCGJe4hAm~EvuV>nK zcq~G3X?KO} zP&6L@>e8xeiq+L{?BD@bA#jzLG~UqJXA#L`3)gd7z9V4CEszHrh}-O%lR~TXPpwLC!#E^2s@;4`CFj2n(E-ry6SC1L!e}wUoxRX z-jpHts_*D(j;wZD2^h`sQX9R#UH-C zwHPw9_CqW3jd{@@Ewx*P@LQu6Ks^m0@d)fp*PWw>r>K z?0yiRo$)dH2_qD_0GmzR1Mn_D`%gj>+YAa93|u9H1l1>f0FS<~lDX)NXvAIFjO;FB zAyC3BTU*0>E9|jA%u3~J7rgdGx7|Wh%^rj0gAokt=NQSV>L`;em(K|m;Wpr!7YVeg z|LV;!G>Mup8jqVYtIoPfe&aLzDcLbZ>&WrDaNf^nzS_vY-}nvzKR((CnN}erZ7awqw%x+i5*!=Y+VmA*dw z{ikBL9xMDZn^F_3GkS>`U6D6usQV|%!=Oy;k2W_hJLyYpe_|=QmR0G$nsRj&<_$oU zuLNj1%#aW`OcNte{9*-)l_Y{HS^*yASFW~OxBWA$b%N78(}l{Fd?2X#h$N{5a!(iN z;1YW>Ph^}KJ7@Gcc);3Z;1#nf(ui)11_j*GXKLs>*v#1e_s**7WK zz3@2?+{IZafjO{R{YaZ+<{Ibo?LeLet*LXRf_dL&1mb)b_7M*qy?_TInPYgf624a? z?W3_uJS(*Y&tMK~H?a+{0kc}xr+4lB6MZ|Ey_t||&=G18q zCW?Q-axR^FQ=L-1#Yw_v0u$NRwInW%X@Q$K2gHHMQ&> zE?caT6>+i!5!W3vHwzmJBFKG%>{b<8{?Ai>-c3I=W8|6LTKn8; za{S{)EMbEiN(K z9JY(WKo@#s+=PJt!M6TXpvhU#*!C3aPUI05PaaFZ_Y$i?{iayJb1LlxWOr+>tH>?; znJKNR_TLxC5Hbd$sEnyorYDK*514bWS$?kA{3qPM?YdU&Yes&L80v?VO62N!xZ&b4 zImNQluH`Ul!CIYm3q8;RPY|u&^Nsu-C`c+LF4>gou3DWlO*L?dx{3&d5oi-8ShCD{ zBe@w%ZuhR5UtuRDLATz{IMYum_P|*`$K%Ekm? zWq{h%j+K+maUw`ue3Xo`DIU)&=^N`cGgGcFsH`i7#i*}#@e zL;Mgf!QlB9V@-l;=0YHoFIUR=1;%jhhYOxRW2axm%1V%+TcZh&1b3VRXzHqc89xdpE;>6Zy$@n+j zy2N?nfg45p{Hgd99fZok_QlXDRgIWzmxr7S-?JU>o6_myxx_VR5bk^>PmT(Guzf$a zUi)2|oB3SG{CPCx-(Abr(7DA%L)HX0(Qa3y^c5h97%FOCKBV~aJ1678N(jNujL3I6-AG-ygrukP{e4TD-@y7_hTgkw1L zvYY*Q#1k6Nstf4pv4OA0Gqvh$h^F;Dsrcc(u1({>D8^)i9IkBIw#&{b;52x90kHv+ zI;d1knHXW_#{9;tp?c~^T2(z-;SN9jh8Q6Ccxv8qc{Rt}=#|N?N@GQaZ;Pq0fFTpN zUC3P*ZCH9kUZr;!cAiib8YVEAK6a|Xw5M-~C>kKid%=oJ$F+EtFMK(UDDgI4w%%&9 zl_&+ZrMOxe3Yj31!uFb>ZY1DEm*FrV5UXqRwteo1btLTsbEkgS5}!d{g88oR-B`*} z5AW_>64Y)w?0j=I7T@6>RADWe1O$gPceh7sk!jePEA|ac4`j{)R?YEOR_2P`Q1iiI zE*2Y)Rgh*4I?v~Dg`Fa5ONcl9Lk{t(SM2V)F{$s$OT%SA_GTkL&0%#tUWpA*v86Nm zCHy$<=g#2iXxjE7^1HD0+VTmIj-0=7oQ7|MyRoanuw>S6yel`)X{$*0ixhx#+M(R$ z*l8}n7hHQ#RMc~`tOw$-(DfAvm^+!`dhu}hbS!C`+1P@XOFPQl5#kar9z5`bk74@9 z00|U>BrYS#?P2X-YE;Tv7pLa`W66!ZNv|BBcE3vMquWxv_%Tr6;bmu-Z>yGdOc#5x zD94pKGrzr0B*;Gq(!U4tybDViRAAZ!8Wv{_T0(d(L>tp-r>MXM*b;@Yy`Ob`!B>zt zhn%Znuw%7$fb=gOJGt#EvqZ7{=B(WHv56KrL}XWW`cfv{QfC;N6%Tl8k2xSi2S-lp z2`p+Z>geXZDmULi4h&^xa9mB+FnO*itp7noxq{s+=OTLmLTG8)MtMw&_wSpJc3p^> zYtv*3NKNmw0e;GD$ieWmlhSmX7o_*NIY)Xi?XZwEWe7LQGnH1=U`~OUHRO?7?tEhn zik+oQ@6ShdjImb}vJ5Js`bBJCYy1|L{24$g)CkR?wZ?1HA~zani zU*k4X)-%?u4J)IFRdQ`{o3Gj-<x^0@;~B72xJbmaBvC0|ryhyEZk<}mb{GIn+H=sfQ?l5=4;^f{MZZAt>y z_g+(P{teM|)fs1G(i-?Rx|ONTL(Cx#_=%Sr*SjI}keD*F_C9E<&%qUwR)oCiJ`irJ zKDR6-)8bw@x4RWY1X;TF-(HL#t-?cp6aDFUuk#u6u!n1$mP_T|3sVy!DzjbgKoKh4 z{_(1Wg(-iGOr29_B9=Usuj6eZa~A^bOI}@0^E=;3E;W1Guhz3;t6oCx9R@IW$0IU-9r2q=gQQFw#Z_;OYF!ZLAvB20Moq*6S1;AYcvxe%SBO|Gw_8yFnp8e=#cxT??245^A#e;*O1_L?#(rOw!YZb?yJX?iKv1y zMD)6UmpAXm&kRjwwTi~l)wpJ( zbGevhEH&bWi3}|~n_U(^ay3P>8wfYZx7co~{YyANh-Cms_xpxjY9RyP6}^p;wNr$r z%ZEvqC=x>u87WIRbTf-A1!)qtkg{S90!8^s`Yh1sy^K>@y9qnQQY zqpl7-+XsV547BoD3K(F_Pz&gu!u27GYMSM@-6qL3asC#cDcsb+8t>k{*fWl6bW_BlcRVkp=uF1uFCk14j=tDJVl(@vcnOS0l>;X;wRaZz7Lxx`r zAUykXMD*D=n89b&VSePzdGCUQ(XXgjJ!quX>II;&8o7IhhBNw)qNwEdX$(kEb10e3 z<`%m(|4J{W0t~SGCFh2bpAQLr4}(kk8&mLmiJ6J9dlyN=*W0)E+N1QK*c{KF87P>Z zX(DHXEgQo3qNo;yW6rRM>%?1|&P>J}e%7YZS_Na08$X%)OZ~+-4d;X@(WyV6f-5<4 z&6^FN_f8abazp`u1Fkm@&VIwvS7wF`x3R)=LM4$nUB@<}Z{td08FjYO>@@FbX$cM6 z+GF0@;Ifm8WuH6Q?18|Y>bs6+Qci5HeQoDw{Jwzg1MRqODAMV7c1!m{E<=rvuDR+uAXNe}sBlp!D> zd}@+K&|&`iOo`7O0;tp0PeWs2ZdwHTdOZG4XCHm`eZu8m@!p~91k@Np(dUQ&XVz+T zEw&sK!DOhuO_2VSt7&s~?5unRxFAm2-Hd*Bjy-rkUib=~+7FrT*#&w&k5+#`q(~fP zW76ItF2FfFvwlzQRZsc4No_Xe(jmADFrJ>ei0M?8VKl%#yxh`^Sq;j``}U zZ3t2SZ^}d-*L{2~<=jAdd*UBux`Lb)TLM%EK#}!u z6h$WR^71~YwdKq?HgD70*n~LzAPj#R*Y`JrfQ^>cRJd~IQR>S*s##L2^?y5ofIHvz zxg#hZ*1H{kPZ~Rl+W<+*1usv>uYNab#bS*<^Xk;{yq|9HsZ464OLHtJIb;STjd;zf z0n+W9e%+nU(%d!u6T}uu9H&GyNY=;XAe^?E|5@py-YFXKvI-A1I}I!1mv3JV{FwZk zFzo(s5=qo*){dCH>)iug$JEni;@adB4!ury%@z^ z==K5*LmX!SW}?W5B@GUUQV$sntLBrmZ?Dx27sT2$U`3u-WXhTT&RX7dxxxWNW1pFV zkTife*ldY+#Ak1X9sX7z5xIHQfg#$V@448$5=s+eOj@c{74TphZ!der(3j8W9Up`e znO*Z~*CcbC&30_Dc#h(NX-p(9UK|{H$J4ciPxwX*U5A5 z2HbJVOfok@eW4q>Q7u5#oAokV;XG)Qz8}F)6kWg-i-*Gkw}n?MX~IYnePib54wh$U zYJ&DT7%$RIm@ErI1iS@K)Tp+(3c4>ulbGi=-=3c)hciX4xJVBQ+ zk2rKslZVGrh|-LwPsA?yylY#O#jaRy_G?^Pf(L5#D4G8LE=S@YMzo0Q42Gfk_&Odm zWB%N}iR_6_33YB0pwGb|=wDiCMsnU5(>LI>S6mJda#is>CHJ~WKhY-h3270!Qy5UF z0lSeg@KGz3@qT?hCMUu!Lx1rJxYM?Ph~@CLxN3Pc_d6lL`$_a;LY&0bgU8agO%<*9 zD(t<7lbJots$nG2O$PE8c(kfRx&9{2Kn4-Ov~U9J-HWU7%)6jX@4c2o=>H3#c;vfh zO2h1$2smB^p`WTY&=SI5Gk~C`eC79#S69h`ayXt%9 zYI-|4PJNmh$U*{*gOIHfosFjZiy-De#UEsfKlmFU3L?Va%(Zx)s^$LLE@1rEm%?gU z*?RCEtLyhv`J@f{vj|x)hTLc)pzHhlrUYq5`Y{Ck6Uh?yNVOFEA~T_`_-{x^hcip~LFjIi+6K`S z#dzU@1LJZWC7^`uQz-gH$?rELrIT#EmC~R4b6va35G=|M*Vu%#ITSBNmL8=#4xqra zp}wb9*CQi}JG*BlMS8V&^R7M6RX- zkaK+)RV=Jsq7asnM5pCf1Vy^iy+a{wq8#$FmYN#km1XF~Zx8c?&%rq+=%SzQOwTQB zxS}VYdE7N0&eT*5=^P(ywYf3}6qsyZ>6*!=O!#O(e{OmMqwjusuLfp;7)setl$MZ? zEqpsWi0H)O!}a(%xbXmHL%1e>p=t_>lT%2WkQ9rAL3GP&>7UNqSXiL2lPxC0&c7Xg z*Ug(y@qj&|mE;+Uj>bkX6Ku$-)&!Ebf?B_9>mRh~f2ecT*oIR~TuX`#$- zN5(X3r@3nG_=UB!C3;jvg!}S4v;3!$Vq$kMxUkZSkAwkHGe1e6A7p3kfT*?4>pV-{ znq*~9RH4svz{vtW)l`>PQdH2-j%?3l+z7+IXf*JT1bv!}SPg;E{#@PdDoOkDoNa}< zk}Yl{P-n#G5u|Uc0JFRO6O&Ct3h7+gDx?)0^bluNRVKz zK<1*nd-qKtR(rVFwK7&0{jxCLU}?rVE?S5&!O=b}y=T5}ed@yrN)^WW~Nlak+3V zZ{qUeU{816Cb#MQX8qVcmm6jT@LDp0#pSxlR98JT%qq6zdbbDuHhL_Ui7Yjwz7Ph6 zthDQ=wU5p8F>iYzAN4m19y%k_$$OwY0=xlhzH~Z@BSd2nDJ++~=*66}pySeHf0-^R z;4%2C$wQGp4MX^HE&u-baHO~M#7iA@*J?e5tPSySRMH(R&gHu0`}3Vp#ys;WyHbbe zqeS&sb4552NVdPq5@;$-GgsX{GfmTZ*2}%78I4Gd5vF+7K>dZKT8(w3rOj2~VPWAWS>Vl-HPaq|sL?t|~b{96p<=jm;m| zU-l+#J_6oAQ$HC5gDllR8|YfRTRnM!fSIGvIBHLoGtd(Tibi~(!tN{vJi2OK`u+I~ zHKuNwyCV$$^O{U#2O6%^aX&+i{X8Ev_|_S~)ieWjH^TaURkF?wN>krF7G%fmFcKYB znqC@u+Xg#{lXT3cD>VP;5o$X9*!?m?5~zCtP<07=A>pPixsHJ?{RRNbhddk%2m&8fJ z37FPfbAo8S5ak0kGhBPJy>-Ia`{WomxYPXbJoWP3f#v1Y$0QE!TAycD<5&PA=`vl= zhe3JPynYf;SjRi1Q9Dq}Z(|M20Mt7(s|05S7d&+5yB6SQSa8r~;Lve2{QN!pqU(*{ zP4xT)-YikR^(yz~s%!oQlhVAc(wWOz2-x|g{w8!DvST_UoP|pPlD9l+a4450S zLoZEqbaXB|as4~e;I|g_cC&vJ_!onWNs|$|w{bv_mcN#+@}{=FJG0aLQ6IUE{N#g6hS%KeG>?7UxOP;TIQ z;smhemCh^jK$E&ayx)vTW^-&|@qa|cnz=a-tbBsZL{+cRQ4B({u9S8! z2NqI(I3b&KC=VbGG+gA6+zlW)N5Nte^no(kvn|&>Cz)=#un4+3z2)Tf5Dg zCmECWgn<6lDx5(ZamyLloq$$vssAXFOfziuO4z9eJeJF+S z?464>^$zQjBLIYbD#+h!#MXT+p*y+;+0hlI-VX00<#I^uy)k%C-rlhLAGvTd5hR7b8E&mWNMSz*Ny%+qQRnnAdTNM4I2oM>szK|a< z*>DH)ED=P^Rt^q`GDkmVAUMn2w6KN$SJ)O{TG;^*q)WJ}5{Q?w<#>SkYN`R+ebIjJ zNBwo{4Itw!aJ3#E-rMVGy1U<0KA72luf$c<&;4oiq&CUK+UoFm%91>mT^AEMuJ(7} z^SG|aLOyn|Krs~ij!o0}5{*rwoUvcb-XT9LN%R;QEpta6G7wcyuuGc3X7VLFnC?93 zjjk%AWv)_X%>GnjQQVVGpM2Zs`XWY{G8G`)SV6N3O6il}W2|rhM0Rl+;Qqo&Vkn-Q zgBJEAJr~U3;o-*eL2j5x&ERH@eOi8g{tEc)Ox%YBhy$u?>UVF7UI>ne-q<}L)mL74A}vt2 zU73v>PsPP}y%QwZ>H!bvO(tb2O6UGh3;prs+%QG zLn3HN4o}c+eB+dR{p{ckD*C_m^GVL8$4bs61w7AXYM<^(b&sUEz94F*m&M-!oHE8Hj z=FEkCa)s9Zdz;Wkx0N(2oP)bWZ`utWx^jmQW2ZUm0%u?w9Ut#{=+uB*b&YB!Xf^C@ z<3aPTR-@CK{r!F44Q9g!oT|mfKtgRD_I~%o%#6S)cXV{L-ArZHmSFpNU4`@2M$+LO z?mJq#oI9bbVXR5ljmL+Z+js6F|4>-!ipk?ZV+~-AzxvmAP$Yq>pR zA>@AX{u40#H=zd!5*c_E)wstnrG->DcEcdbnH92SfoPm5g#s@nW;u4!#X8X-c`tTBr+6^M5#xD0Fpl@mE* zX=u(l9c+EV>dkNmnKqpz7X5kVfV`cOSp(S;&x{@idGzt+S}eEYQY#g8+UIx4VqnqC z+jR!PnUV z{=WIMb8g&v-kp3}zM6Cp5P#Y9BZl*gScpm3ZF6M07U2&5#LOBU@5jj34|9 z@RahhZ~Rl3^1B_8YNRKL?W8VNk(ng&D&sel7zdZ@Af|83EloE{M! z{YtFC$HA|ndr&Ju-==`p=9Wh&GSdWkF%OHwc73iZn%V`F22+rr4+D;2t&c6tR}rHH z=1?G1RxYivHIsyS<6NQ$U0(TXF%YLBV3s>NRBQ2oP2+hLV-DhkCx#1C>Xf z)(DRF@A!4BRYjl+*bp{EjxnN`VTL;zSD_)>|RH^N>pP)6Xu7jGs*)9u*XP#2I6BC#A=XhbEh>_Y3V0@c z9CH=QsTznSDSHsC#cY}qA%9i#i8^z{d>=#exZmRk}dcU(Vf#-Q_fPXTb! zV?7bk`>o;A&7bB2@<8E1;IaN^%X62;)cmlX%j_K&Qen=7t^-5t@+0)_tRntl#TgOSS6gNLJ9Kxd z^ga3g;&tz5iyFG2&l2>-UVOvFTGE{}`4a4?6t!?}f)w(4x|^58uZ^sZ{=xanSnNO1 za;?Lx^f81skLQQniP_;)K-IZfIz&GEKY))d8C(}sYG_1Hg`e>= zT>_Nk8twRGu0A^Pawi7O`iSu1di}hE>1?%mP}d4RQVg}N^l-;!I|Dv!i`%QX%KAl* z0jKNroTIo|v)o26bt6ae;IH?DaYY3TAT6FLNEAtQc;D%dkptPi4leU5fh&2N2=vHL3Ba0_F-I{f`5`M~~KlPd7 zHo8rIyTt*>9CC!pHg19dGk!`~vF}I9aoSykbhkX#&J!Z@K3TJ40IrB;YkBN6-4lQ` zCEt7~P?KU+oc=m=a@fSZw8rSR@_JV73c#Anntd&Cd-9Z}#b|Wwkws9kECk4P`SISp zmY#qCnBw7QYoQbMD%)G+EXT6(&05|-WrJVB!9VB1_XQ;-dh|^>{&e3^54Jay(eF0B zHL1Jf=;dd95417YsG88@CC>XV<=Uv_!kO8ci-JGr32&I=`W>YjBVt(vzq=knaW05_ zk{g1U1by)fh9OW`7~y+W5883nIn zpxojB#x4^t7MInt)_qq49liDhP;HY1%-&YR9w_Pb8=EABN{lO-cLbiZvYKNqRrbhTQKeE0o2 zD>HE&T3=mUiPEb*vJ!1ReX8T;$iih_i_Y}$_O-ri!7h7@$)WXY%?xSN*Lt^swBs{C zCLK_JMpqQx=izf$_$-ux06+rt1mR8_37S7;^DY4ho!-GKNx;EuHhSjX`2y;*p7wd8 zIypq9&)EuRXGK;*DwV8!_4Zk)>rND^uhH8#U()ooY~Lufp4KOuQBOv-@h1)SnT5&~ zC4dD3j4PJZKt^hqJf8aZN9x~+%SHCEyKYp`SwjIUeoRl#6+Mil>3Y!GC6ML45_!=> zfA;+a6VJG|nXEHqD5^O15-vVs#*x`=x-G#u$VyVA$a>d>lniDBgvmeoI9Q-PO}l2MAqiCe!HdIGWS5epCvLaj zUD7g3wHoEsGAnq=uKcHUz>lMc-zhh!9C-*W|>`nkUjutC={l0wn7;@1X>IwrT8F6SGoaXaZ zJQQ;NKd-(Ze!y}B1_lOwdc)SZ`~=tnTngU)*ZfUO+hU}0s6G4dUx)A#633zKOha#) z)l+C~cC)o7P`6yZyckF|&d#Mr)ZZ=kuNFAkm5aUu7=IENeU!sAo zX8$7}F28-Y>w%hDJQLg|l)vl(c4-l7L1k5pak*PHtITPA9r&I`<(2F%g_f?ejIusR zd~B@Gc}}KA$MjVb9u<35e1h(*9pA%h^kLH|)9EfMfD8cK$EE$B37?)m=G#AFY1pCR>$_H8uMbR$l%)D>2Pqr^7QZO=s}b20K&rs}SY!0q7sMfI;rz!x2 zIl1h|GqVWttFv%ZDp7r zz78aSOox&=)zsCUfjQ@|a4EHd)U7+)m4A2noSxy}q@3srIkhKhjcJYR^Pc?`72&G? zx#P~=mAW%<5FOKF->lb3em87q{*LQZ!FVmX1G|U-Nykv&h<^pk>bAO=%DzL)!%13N z>Z-(vg+YlMV$|B_tlbCKeZrV;gccFkNB;-}HTTh}4Lmz5jpyElK3*cg`Da;4MWG&ImMPCiqV9!KL5c z-qv#)mCVh{LjusQD(@4EgZBG7uh8igH6|Hl%r_oN;vHQPJ7Zz)Y2-GAXHBM*ad@=K zYF|^m-4}s>ew17($v)$Z`5bnz-4OA~H_Pa6^A$zXV4Y5wLuqAJ;-%K_hZb)6tKfqFst-kxIP{3ZpZ8FA-e8XyX@L5RUlpNV`oVY{nI19-Qd# zqVHiyT&OhySab1+F^isrvf|WiPoo!%FQ~!msGzMK0wHZ}9i50pHdhW$N!eDktvBmF z#KMEd99gO*Z=qXiqtzaHc%LM)Rg1{>K5taaMTDKLal1S`t;O+~iM>MiCJhYqI{J{& z=Wk5<%egt|>CzOim-@m5@ z_`7Umd~sOutS0)Y!vp?)w1=Kozc6#P^9X~1#!D)76Uz9N)G$PJ=p^7Ilwp5o#|l@! zSn^?KN{9ev!-ho0h(AEgsBd84j~N%I`;MAMx!$ZYjWqC_XeUiJ7T&Bin*24h6GD4L zTn0G_jau7jyI`14eYN>K7*Bupwa<%t{tYjeGMwLeBv+^DABQsd;zd1Vem@_@|2m%` z;@5!{vj-wAE8gH_9k*M9$H$n+yPPT~eF{5x(`B|X31Cx`ncM2@>}>cds6`^}Y8Faf z;|qcbeMNB)QQUJx_@P(6#C9AEl)qr#0`BI66M34D8ktF^~X6n!Yp(YLkmLZ zMlo9;0UK$$g4w@*y_5q*rqWr{wR@XfX^p6(Kmm(Oyjt>d*QIf z!juq|L-=VAs+Sgc60$eQ=@+t!jm}|Jn@ct{6P523N*}bfT5XR5{DcUMTj5-e7V*y1 zqH~p2wUH2Hx9pmFI`1Y2rhrUdK)>L{Ye*Yz^#U$C) z{;*p(E7FbDVHLzl@%!jTgUOG*r=e4p_)vb*h@-K$w;7;+KLnBlFP8(m22PHT-?Ors zU!QK5nWG1ON5c{L1|YQeklw*~pPs)7`aip^egX%xjdL8Kt=G^i1jUHZZt0?E&u&Hg z$YJ~a2z&eOSblkJ?W=F6r>B+2r>AbmCnq`7U*8M^2IpN*Zi=?`spxsi!=8p+^J@!scbX$6<=yDoL*3YPgE zFF!-#}=#v|@b;YN5IRE$V zd6g}}SMr%J?`x%RXx#pN1WFi+lYz91R~m(%ixgQiXDAq#FGp0@J~ zM)!B*hqcH5?op#u@64)IlwZXNB1lEA)(NGe$-Bew-+p-&JXxaYI;CyN3BL1vXjL4+ zX&{6gI=_$jDaV$TpC5u;>pi*J%rvc;6?)!e8v#er(O($olqd)PVS78()H1+q= zuI*_w6{ip;`9e+ZpUzrn+Rz< zSX4Hsi9K9l(}wd@R1^+wSTB^k8Ua(w1{Pb-9w>PYjl7b1Fw+iUDwY={Ce=$>WJzrp zVT6L2PTV`O;Mo;m{OqAhwn`TpcMbMIp_ig;%DmCW(Y-qtx2!znrT$(dwtcWm>I@Cf zirkT<+*Zwm;)inzY>orgs)|C3mRRr7c=PfE|0pK8bZrBju(>0<(HQ#2pWetSZdvgi zC=Yx4?gzYNcLcuRgRFy~=%Dgu5#xk-wbwXXI6-c4Lq#5_GoR$v_Q~gW3W(8O=ie!N z&;juVvqppzgtar~JUQ)N!muK@irYV*MNC76nIoOcq#qMsf&hjBBEZf+TeFk{vYaz^ z6(=Kv;v@WJKH5&6-^L+bmJA~I=d!tk>|5~h86MR`4YLPK-iU7@Q`}ZNXMH8>lPl*{q?QyXv*Tq3(3cV!(l;st7^wm z8}7>QvFk9UfLj9&*qgSX>E)HKj$9{jLo8uw?{f_wvglMnc@k69>NP9G#hL3M`*=O+ zBJqc23!{8ED_6yKE04k1!-fR`cI3x2qcIH$FX;pchb6rHKtIEf09^FL>N97~YF92* zRp@DcY=RvmXLrt>E_^p8regobYEKMxvF7(g78`?|BuCVRRwGLy`S1z20 zRz1gmPygLQQLg+;={b#SbC@h3%mmNn7Kqpnvi;9{m@L1je7pnkq)Q`dY!SG*uj&a3 zoY;73wxs=n3DSUG)EfK02@4mje@tgU`Lw7Zd|;U;pXpqK5&VwXlDQNRf-gl)-(y-K z!3><*FSOd4vqD$-@+W`pvj)oegq5lny!t!d_6l{shp#sythk{2{E?Qq&Ug-o`3qnn zXH(swDf|!_c?Yv^lGaXM@?3_}_m)78{{~W(C2oHIxuBwku$16T&&XiBJ~3!E3#cUg zRNY3A32lhtqr>KVVBeZHU_3uxrDAOPsGA}Vqnx?Z{bFRIdv(kge-)mDE@qWI(IU>c z--1-}l*d`ywAK_9=Etw{y=!wb86%I&Sg+vvsEE+2Se+f)6p5f06AS`^0XG*rZP7k} z2~HbCbV@9nYWHwhplLh;dRG`)VF;tQE=-O`-tdEb$OL) z5`1-UykBJfk>IF;wY;ze%4@aEvszu)%m%)XE&ih*9FdxIvJkqeC6_Wlx)B||YrOB2 zdusRi)C+J~cI6J<{B9GIWeA>N1SOLo zf;Y~7{M+jpt$R40g9)wn68W=P_X5^S#SFrUc$C_~r^@ zN3Mpo%q6k9xKd=(qC+Utk!ck2(;KNy?>6EB$(huNMJ?8%zdnBPj2~Qd?_c1<=V%L+ z!gsTlXlV6GCKkPXY-O`EBgHn`#O(vc9a{mPk?J25!tThxa*e^hpY>}0mfko@z`l9> z!aM0+V&d$Tr_ENTU7oVBF@>_SG9el$|2+E1?Rv%4=)&h27_RpyVXl9Fb2b>OPlHp; zqk633jHQ)k{}L1^*3PT%;!Y67k}s?|VeG+-Bexau9YYU4QYq_U*G2Fz#Hf%2ND;;x z#4lUMw48ihYAEyJ&L-CtKQeg!NHkcdU^bHrOD*jeb+$Fvlx?hW>6~M2cB?{;Os}d= zaw;8zSK;i5ASY#P^~U0tQD?c;u?z2#stN9Jr8mkTB8GdATs7^AIA%7R$FV3F5sw<1 zbQb(@On)6vu)(ycdkPSK1SbUH(Hxl|xE)!YCao#kY_w#|Sj)p-A?3)UV)5!6@n9-+ zh@VGx%Ub)CGR#Cwz<^F}&PJ2ZV}y;!9~cbivfr;x9=<@aQcgEzyOYeo;&Hs;c7ENx zs8RU^8F_U);vS*I3X1*2HWgKOQ%~Zuk0&0&`P$^t#x|>G=x>eyik;I<*RT7>#-LJi zdXY>6%b+D_Q!4oV)j^4n5C7OazMbb>(;STKQjK~d(Jjr*S=Vp!TM{E|s#yy-ANI2z zyJyxnH`Nw@;=WBd3g-CF+E5)aBK-`L`?{2M70&nPTuRk*#0qE)3OjoKA7=WTr#+T> z*V+)vo=Y94NgHC-k@a{h&(f=%mMD*KTBk;8C)$mg1v=H2zu0N?CrzHsJ)IC_-29~i z_|O-g;8ORKDLY=rrAETEy#+kifE!{yPcsaGz;vm~M{ScWmr9EH_$P*E z?ufH{ctY)T#SE1Yi04@H;<={|6)##s2B@T)s;B_kCkMQyH!_>H5+&B2#-Q;h{Q@FR z)v40G@gg6OdDwQN?qvcK3sX7FSq<%+*WrxSK4r=qFKzySdQ-gRQ?;z6VE&Ft&}Z}v zPuZJSzF2TtAW#Ge4HG$@{z4WfhM@+MWXToGOc~3Q@pQb5+Fc@khM(uf7!^kot*|_a zJL(|lu^d;fMm|d#7FR`FU`8&=jS9FwqYAoQsjiQI@1g)4g%5aQU}A&T<|%9Yb1)n0 ziZ89X){?LKP1Po2O)hUL`F*@Sb)PNozNp)s2#ETv*bj3mS50kV_6myko#i=*fGs^e z!G>132!bPz;)Q1PLOr>NKqai|`lG;cz@1vok*O*J8(XDqu(>D)irq^09m&iLu0U(B zfAAxfA>-qt^Ou#s*&RVg(peXH)KRvoRyvTGx7L%-YeX&CjRuv)MN$Z4dM%U#xG076 zYu6$4oW@+}*7e@n%;Y;e=8I`2mamTSD_@`-Ln9s@qh>5`kIJ+ck1r0H$2!glN~n2X zWvhz?`WUjyAG3;^1qVw4<~=<#V+lV2^XxGJvFM0J@~5cZn9Vk9z*{DqT2Y($N)k;t znPVUoaQfLlYRaWO70r5~YT#kD?GC!^pkGPEv6Wcnd z+C|%I!~1oagZ$&p?{4ssA}UBg8+>#(Sb7Es5X2bV=iXC!0xmr5S7jP|?Il)OLZ zIwf_3vF{)yMI}kh5ZYXY_=WF%uD`ALGAHa?{4C%tVB!3b_Rl*O_cZX*V#EE99S$SS zcdXzY#sSfm-Wjt$m5WDqx|Sq<(pS8<5i|DF?0DktWCPR!uYje@A$@C5E7d>Eq>o8_ z;su)8{gIE z;RyG(A5>Faw@9Z|=#*j;ab8R=-bzK-dsFN$(MWV)Fo)rl_Q`dTGWOXXUA`C3n%lAK zv*=qw&a>$0!A3Ar4jbGzNTT>1?eVa}xW@>uIKNDr`xQ0RW^IFLRg}7&1;1w2JLPT) zk?MP)Q(nGrtay&muF+E$bu{`#F@9|$VmJVav^aAyLVMo)<#g>hf1aE?q9-IUafq;< zK5#dV6LHC1U3hn?wp`vGbHl+}v)zrp&nf1>#`x_xV;VB{DQ*!iJt{>TQ}BUzp9owl z<6|oskH`Zu)B1$zX~wwM0S5bHMZ-0_TFG~>3pR@F#OTw~4W_+z7-*wXQ@_o4AgJ9g zmO3>DT!pPC5B74INj>Sn?1=;8OTr<4Pm%Q#*}6?Pjl$2L$W$X{VCqZfUC$n_QB%e# zsZPRa9$Q>)4Wem-W!A@qc1fvg(fT(YXB#J!0p}5JKZj;_QoU}~As3xd8Z46f=A4%{ zBr~|Cf;;LI*=-m=%10a8{5i4Hv|Cb`YT(-$rr(}_xw3&y$}1itpz>H#t6Nw50yHpJ zR_$Dch7ubX=$H?{{MttA(NcwiMn)#9BW8&qlXvtUfr``;pE<^IBL}~|zuxaF_Aw2< zUwjg_c+67anALPV=I4K$#J{&HekZ02xN~dLl$1pd&hoX$z!h6BZ6Bx1aoWvl{Lmho zY2J(Zy0**N#A+YF@VE25R@MgtHGXJ<$1_Cbo=*f5r_Oo~BZ13FItyT&1kcZY@mriH zPKs$rdq^aZjqpt@n6mkrvYkIHr+A;#oXL3WVkeUv?+vjZWZw7V6CMP0V7%-w|1wS* z=b;B+=_M77UlLz)GYG?ZPC}ppoZ8L$tVM6#P?~x(0y=YlxA)Q)YkXe*y#j7b*g@n{ zdz$JS2%jIeH68>$o}L!02gy3bF}yMx)$H7XF|(tOZ|Bmr^d@~Nl<4HHbA0w2A=TTgtgo?c3y-lJ^7au$(88z zi9engRKcz+uXF*eu?*Y0Uh+BYf4IX_!^}-nf10X&ZPHqoQv$*V2V2#IF@)P|8yP6d zhDFI+R24NeMOqeu>#jS32aj^0y7$6@fiIrO2nYlkb+VoJ;B-YkU}t3qlf{dj3n`+P zq0T;pEHr{xu$I6pKPRI~sFWkJ!l(F9+ENRL;Z>cEj?n;5C`qjw+D7J)r2Op+r*YG( zcJrQhQHhMAGYX)D*v{E>IY|Zckf(Hen#^+PdU{&&YbETjLz`c7yqo!t@H(&h;qRWgKFg=2PsD=7|}fKY(%?ZesT*^NVOgIaRIqRdtyYyWm6hQqS4tb|M@yYTg7>HXNWuf5Z9_h=KV(^~6o?b5 z?>sig$T7?BLb&M2o_qe5W=l!)t(%|c+0N|JGe)|FME74MDPrFh-BVG*3PgP}1 zDLRpyy4Gbs{bR=Qmx`aj9Nz-u=Y{0p^WQ-nc?eyB^EzI;8`{p~xH9F+3B+Ws+kAnbPKssfQ{Oz)wXlaK7-^h}J;L0>oh!bAgGJpA z&8b=@5Vgz%ew_W+IW_v0eg%BW*;J23eaPB1eB{X`;xkFxd8ho+_2wQ9MOM4XfQwt^ z<974dceDXqGdXHIuDP1e>DJi_b8WsGR3?DAYHD0<5cyA+f;UXoPROW0$M>E5yKtft zvc`()vYk*sjhYT|%XV3>Pw%wO4~z1eA+lRj@jJY%3!ksJ?{L}IV5DXG^HtbV@|~HB z7horq@draUyGN@{YtTKy>!~t*s^DKraoRNh_^co0-NRw<_QgAbI(;*B{>0U5!eV*x zyvCtS8xZ;o^9)RJJ1}8g$gHCwX-QQ+D3qfN8WXkE>2+x^7JQ~j-Zq@iki-b&!XfM7 z(LT(D2}!b^R#Zv5&M;ipZ3#5FPdrUW;QFgHPIIEPvZeic{4^cY_dRsFk>BSW=xGk7 ziTa0CHR)P1{(I8}x2VPg%pEZp*r{u73?CjCQG$8>`Le+m3(}eodj*}ocOo**n*Zl2DVO4DhJ+2Z(k$NT zvQ!J!pQhMmjDWeDQSLOM7xXlt2lU$#9_&c0l8f6YRqY3C(j1|uxxS04y0J#%IZg@v zNsLpS*h#xWJNkbS3g*`iGf)}8*N96*&K>Nu@t6L^+f(w)YCgEL<|T*w*!(_#jYy&2 z@ae)4BUFL{=@%e%g~A2jYmyJPbk^@3zSTF{xl-a4YI^dG)NR2U6+^Nqm@e zJXfihH+|h~t##r|N}B8O-+XY>LeWlRW#Z3F8&@tbQO+f=9uJpSX@yZco-+~8tYLB? zne(YzHeyX%`HEHo&aL@xcVSEJK0rWH$IQ4 z)DmFNYjJzsys(xVSrSLvRkbltcbIs(in&+rOVhqVyNp^fcs?NstlW$)A^J6njm{Oe zbha3i3V6kBw>d`nG@JeG9y7=Pj*%wQPb#r9fbhE0U5Mz4ws(IkLO}Rv>EwfEefo8t zF&PZiUfS`!qs3!K`YVCSuLr6x|6xtMm?$Q8W8I3#wy-{1lr9J-z7q9z;||*O_PiRB zDf}Yw$I35bM2sc`5oC^f5C$00XF;FdFx=aD_8lqKUk(eF>ABxDtWmwSBq%2Fv4>IU zm>L}VGT>zg46qQ$csq!LwVq>rKAPQ0H@G;Al0NT)IK6lx8%O@FCza)BJT@_3-NS+F z$9EZU7Imz=Ce(VdM=g1|S2}@wnC>3`M^yn$ySb_gG}We*q`Kt(+6&lsQ~x{E!$w9h zYh~Gh^CXZoCTBUzGkFF1RsdGGJtO~cT|sJex8>O&#-(egu|BeBmpma{?KMV@<8uG* z5nLS1g5j5v_?_pMdDvvYKFSEl64uUc_EL|2YDS~mE?ly&(sHfRouC9BMc*41YqGQ3 zZh{}hnamDy)Rb*ZS9FL|0$yni(T~_Uvvfl7ljW5MUb7U14l=7*Z=ozo4lF(KvE-PzM>AZ(1*RIcb zjB>;H;+UA@f7yiT6WhGR{!V(Hu@He_eSthj(ezeqlxzrN}72>5R zk7v|vWL|GRAF8CNHO65S=PGI{BFZA5_dp!v4q?JazISx1yR>IF*igQX{WRiR5{+nT zm$A}fvLL_Bg$%$j*OqE+pOo=$(~Ovkp(Zi_!UNdctZ>`kG9{` z(0NYh`_3rjso}97KWuAJLG1zhfsLcXWK_3P`oF7>BY5I--TeLM<18!IUPdlX3s77p z)0^KW5`IWEpit#bCo%o)L^}5eu(x2$s~FThBhzT)!mHri%28WE)4NmgZw78Ang`dg zh@4O~y!B$@3w(RQ^7`WE2%V@+VM`gr?b(Jadkw@x|-wL_uAY1D~{=x{zhC){@ zezHi{xK{I2lx;Nbkh;%|lvA~?5^!$26jr39xG>7LIxVI zjl7~yj#GQ)7+*0;9FAd-O?a=N5uamd+(VK$s<_~p0fOWUcRYlVP^vcHKlG4Gye%A+ z5~@rxB}a0E?<#om<<`C&uL@JRUa#}(*g7aaFc}s~pYhz_&v)P0d&W=ivm@q_;i6DN z#h;ccT^0LY`s~-le9rPthhneB^$87+l}gf6A$j2vR_xV|3v0mna{zDEkM{maJ{*}> z&}yarF5q88`0%z@_arz`lj%r3`gjC@UVbG3{I=QKK(Rfe2@3*LOUWA`!A<2M*jz{q zDJp1@`e`oHn^?Lq>~uZirmp7-ftF>hc0}jc&+9tiam?jrFG01bl}{kN|GEYhl>0FX1i z8lJ*UM&~FV?SoL1H(R}H)~9jG@68iEk+#`&qFgrkN(0AlQyO9qEQ4B|t*2X7XNlJ@ zPL|Ze2@0&gk?5_hOg7?zFx#KmS$br66#I@D3ui8HYe>3xkgExca&b)0b}TKH1oO9$dz z#SibT4>!s*hUcKvT*U2!_3f^N5+>} zTvK?ogC6_?Nieh4ghnZ*|77daBQ?xr4FR!IRT;KLN@6_6%NI{&FDa8^CqRsnPCJSm zCAMOscSXT_%RH&V7I%4*1r&Feni~x-OD0Q0DGU}96b@u(APm(np)Vs+-@t4fDDMnqNM68J*oeZgbxWdOfn9^cIxg zG&p98VT1?Ndw2qWPJMn{pxL(@by2bos7BJX_9z>VVb%1nQ_{hu<1W19Wa1*}12qyf zi98<#`+i2$mwIi>b1`rqDVNMT(4#dfXa73y^i?cd$#LOoL^tteUS3jv9g{~(e5>cq zi!5Ljp#oKfI?V}rUGB|1GD_6Gv@d>|%6aR~Ha;3q>a*+(Qy8ssN?iY&Ni?|IexVDq z1Bnlg`0`nK^T=QW@DQJ$r4doQLWFr`H>s_QV5!eeNiqo_7%A%B*h(RBYQETjJa;Ca zDKjW<^8CZ7v10cGz^0Ycc28bl;D`r63a1?Ch}UNePpl_B?mZ`RSqf&$ZjrIl%}4Y1 zd(suc#<|Sv9kx$XA1?R!@|w5QADhgw8C2@$1kDgqf&bV{id*jCCyCfl%s(lR%i556 zPRNgyl1FYxLk>fA%fsvJQ9JbiQbP4P384({>X;QIREvd>^hG%Flw~zmz5y~OoQy-L!ly&oYpZgJHP{d?QF?Vg!m^V zKkT+g7J9r_FKTrzVl-0Hs83nu$UHP3)Fw*B5X+6UX2wr64qbo5Fz8rXm_k7B+t_%J zv%&^2I2d~xPSffBJ$IlF%Qetvi~& z!LYs_>a&V5z4pVZ|3n0$mG7ecaAqQX`qxO)9le)$(We@F8W5D@J<2<8mX!agLdEg6 zGqfGx%$_`tAl{a|Pq=+Gdim52b^@i zWH=^0eRk{d?sD%4Ra4b~*E-P!WO}P5uG1em6IR^Fn2}@4a?k0m)F%2pR|3{AqJ3ft zPH)>zu5YM5{r7SGvt!K5iWg6QmfBZyS8l{dNx$F-gztK6*Mvl)Q6c!-#7@~8OpEF{ zetL_DkNvoVTU`^Fza4G8qj$mmw4#w;6cb%^L++|sk|f_SR8{>b`SKZ-WRXyFV@Z9i zFs_jgFGlKXn`%A%&pIV)8^j~uCrF$wm;c(c@*AVm<&_ZVdxJ2Yn322#m;9~%v_5<_ z;MdWWi^CjXt+FthZR1-lW%l^iDKm~(7bEZz3ud!U*1E`d8bbv zW?8jsk-ZlQNwLonO=t6hthP3;t?iK;Je6Var>J5=VW`24_b12Hn8h(EoO+n13Z5-dcE*B+ND3sJ3T%$ zS15j@a}>+aVopvwgk*~_B=MR&Z}^2F%|uDiAGQ>7DN)a;MU=OBjua{Xwt`0(nN{WieLya#eP;f8ziyCZLs8=nx?a; zEV2z&+;+W>Kdmq9vC@gR0~0N+x8K8}SfXK0JX9v(Nqc2AWpVHgDR7f&`}L9&yk`ZYLxsR-B9l}>j%bBg?B024avFt^VK4NS=QjN z7)l2676*_#oUZYZjbbs=)bp?{a91UqE(|W5 zco#qmD1g%$aNl=gJnKV~Jov)yP|-7nMA6gV4fV6Y@pT9+<|M63zI4j7*OGy})sGem zrK(;euHsrt=P`VHeV1a?@*@MtcySK0-*pPGXab`2omCI|OV!x3Qet{koBE0ne}FRt z+Ju!quzKee?82{4g4=dKbX{d+9?sD>^rG}c(Y2G9589)s{hCT zsH0mX{wOmC|GA)F<&ppkz8M(j)>iPL&5@rC@8x~`ZtUoHrctIja{$$x(>ei7weYR@ zyYk8oT>qdDPNWWevPJ21bKE2NB#aIfxGG&%?sM^T>EwL}lpv~SBw|N>Yi3bnV@E%m zt*Xo#uw<;Ql1Yx>#gpX{G5pk2M4R-9q5=0P%b@MrjV{ZiofcN+0@or_@x16!T8hYJ zj>E$#3i9OfJ7(&7e1~=&r5L`HlvWRx8WyS0Y48M68TzljNE&tM+isZjlY`Wrmnh%| zN7~do_-OYcBjai3k3Cdl9W&7DenB_=lktQ#jM0?5dz+s@2Dp-ma#NYFueOFeJU`d#2jF*PXf4d8UgoTg7F&`<2rb7^?y; zWaNZ1GdL(e1RR~u#c>P-63xR;>nos;T zzM9K=6^TE*Z81l+@TZ0!TzYytym|)w@uGew0omY2Y&vj_h~~irrBB8Y6fbW#vr73j zR{UO1*6KO^EdElfFle!n?c2+9_M5qLg$HICGMNb_sJc_qg!q@ zn=zF;+7>6S%YIuG^vvpHUB#p{#Iu=il9#+$n)fsSONU40YdxoX72CQn{Q0)?e2IaJ z|G#oUcJB5=4AlLNVU>jiR+krAG9?)bMg@#I`L~(8`grSpw#DOdI8i8iF^zOrFfy+w ztBr9Q55|K84u?>FSl|hulJuhDAInkePYW*|we8!6PP+Ausdu`l^VQE~bX46r$oAfS z3cT)zW}g_yUB8*?ios(VcI=M~8a2~3SQQv+yKRd0sflC6I$1=?>gg7;aB43Yo9}FO zQ?C9fvLDc$02Jfq3a)&m=!1;tsXCLC5jByZlVzzZ&DdE$jSe5OuowgM5>MZ-Eetio z$Nz4p^Awa1QvNGbHV_w^Qx-bVFo(wQU2ZiYA|gCmk~-JB@)Y_SMYtqHxU1kP2cRA? zak;4sx9!~Ky@!UG3>#E)gN|C3O;S_=z0#7plsOoBBw*G3Uo?6N`A9w+u6D4ryM;_l ziv+&hxDFbPO9?j%tH$FmEIEAIrJ2vQv0VBZdR~gapz=A^bLKYUF~3w3ipne;%Zriv z*-~ws8%e|?PHbqbTAG{u*)gwar|@6-vjScdUmE3_Vly-pKA)^q{r6a0w;qzVB%Yca z;RF-Y27+fleW@FVVh&ixAuj5Ak2BO1@`Cn4OjHB|sBgP?|?Vq+6%<=BC6q&N|4$_?6NJ-U{L=ZD5CiJ?(t>KHA zA|CYlA$JZ=?FFnrmwQxI6{i|Ak#4DmEzr8{5%(StV<2dfduBBA;sNi`=X2BhX-OQ- z?s-=VZ#|i$Ww_>i{2nm?3ZgM$QH=Ii9`*6Kh$T&GS$@9ruJGRdB+xKvf~7fEvXFzT zYVAO?0AhQ;H4v%;wT=1qsSwN`a;Fr64Az}KN{6ua9;B`k71;gyrM~^M)s7E2t!(eZ z5R7NSQsG zPKX@|$YR`T`jXkJ%1lEs+7qFHsE_6gZmkp0PIxlXy3+gyZry(at4vd61ZQ!mC9 z5UoP&BgGc#z~s0JV#(}f2hhKRbv0BhAncFvG-XEaYIW9QS$lB_^=ENK&}ZPf4Uh$S zm7}B{IExO?vp?F8%ZRu2{pnd9f884KV*|^5ks}>YX}){Gmf`FIVJWcNKN}n>Oq3Ek z+ySO?WtZlGV`xJkl77fWodfMso>S_=9zS2OU~mnN0D5MirF#IFA4!(@6%cUdbbokb z_g{a4@Iy8)(Vb#7C2yl%Th;q1{c@$=pZ-$R0-Z10{({^hT(p5NtmG)SquFJunCz7c!@^Q z|FDF6o|JfyBqk8^T=hM&#bCyLUz3_KGSso~GN7auLF573PzT+pj0s8D zbS(_^GhKjQ$JNA@*S#ASm6Eg-9jql2tpOVk!6bhxQm=jsU@LK%^H+3T&a)SZL<2B3 zcm~4Mvs+-&_75?gZ;U~u?Rj_4uH^S4+4H}IqBzvcvFJe1BG|uB5m8{#xlF6f6~6mk zp+3(GE!wW$tO40N&rW3KfZN9S)-U|hjyh2{2;bb8=WX9x4jib@2Qn3Nfd5o=lfVuu zcX`$_#hn%DpxQiayVjt~ydG2g`fwWgEG3JcKNDyo5g4=KAT{%oI~b3+O?{6m7Kt~u zc{s&Vcbej)q+0K>CqMNzdl4@vBVb)*L>o)4$WFBR^iL132@XJm0rF2Z!l8&=R>=?> zrY>Oo*+1_}llZK1W(YWi!@qyXnh+)L?X4BE0u2F!U$w2PJ`4!h=tILU54Nzr=lQKJxn!O6$@u-JKl{uIaYsEr1`?Tk zo;kSzeyg{&{rJmIb&{$(YkrRO?Uc+7tM!H-^G8@vPqU?)ziOx(rbHfTQ|zvHiiw~T zk6;sv23H>bp6)uuco1-SGtelv=~*FuM>%dqDzW5gJtI|BZ)&r;_SbGT1uX@ileCEQF#Brx#ndbUO~w(%2SbV-QNqHbhL%XOp0OQ4X^KJZg?QM z29t7+Hc_pbR)dKLMwdqvmtZbMYN?p+K-*-lBV)#lnmKchg@%rteA4RfV}W|~4~AdA zJkD<_NzVosJ8SR8A16;aQ~B-7@j-KnT;{gHTg(@`vh_E2*)tC}Q&=OfF$bucg)#3+ zpxkoK!}pf&Y-V`G}%N_BCu4 znEw+jul*<21Py5Aw}3&8Ck_4)1k@~fN3goa%=pk$_r)#9-|MFsH_j-xoPfUWkq*TB zwhjzs4SrBPFZbDti5bRygbz?RxQd_y94jbHhRts~Ax*bQx?~bMvIY>fZOzRlT+q3}t17TS>Z>oSIp4RqP7?Gii%jAn49Q@h#9_ka#ph`hKGy zmcG3!n`WQnqiR}~!W&Vu>aBGapujCJ=WCJmb~7t)Pb1bl`y2084{miBSqV53*N||+ zRvcSOAIWifF?`9%vS*|L4P@DHxUz(0)r!(<&g7&Vt%q9=)S^See%nt^b}KSg)l8cM zrJ%>aVE~}(o;AMO_KFonXZ2(T{npaxy!=4nnEf`xyD6E$Le;C@Y(&CCB8o}?r`mvl zfn6Rxnfj-4*ZeUG;~;eLSMZKRUwC2vTgMN4iX&9xm72kQKk?HVU9Zn5rTNdgewd2x zyibsH6u=65oj%;svyrVP=6PS@xi7COWHaiYhihist8>gjh&07LG74G!Z5w$2F zVw>q0IzcE=?11>%6@mPz|IlWS3+(%3ql8wr8o0rji<}%!Sucj>M`eQ{WNvsapY!Fv zPhKs#mDkwE)sl*s8Sr_T0(h8-i_=_k8S$6O%7(d?EUfL$OS6A81X}WvOzOV!? zgJS>Dyg+H|Mh7mDYwMth6RT-CdQbdcq5j3)#p?OO!z#vUQ!ueh1tUDMDvYHiA2@!h z7aV(2JgGY?t&c5~)`n8@`*$v2v!R#$nmE)mv6s%7csiGAX2tCW-)8Io=2~R>ZYpVX z-n{wz=?yyx03FvzUyDkGo(N+lj=U?J=oQzaTQ32&upi8`akUz|VW5EgxVK_LUOBdMw-QJy8#+J=?%7NYKbJZzipy$xeN0@rVcWl=Z9n5@7`S3$n46*7 zxfTcvxIRlPob9~$rFh66Onk+atKVkMlPVAU{?WLQS$E}AG%Gj=dfrdzwh8oQum}sM zM@C|qha!FcwR*kgeE(6U*y`$VVF~Dj$DtDW3iSAR0{6ds5X#OJbTVj@C8Z}!=RZ1A zIp;7!Tz~;okx-s;NO{!vERh3mD2h%Wbc3jfpg@**CzT&v&h!4JKhZxs zI4(yb+RIh+lWZdOsJ@-l%m1v~S;n-nCxZ2f^|c#* z_i+$AS3Lo^9ND+5bEb6b8lRj_L?0Du42RYPL=>-9DY#90{EhQiy1z8yyqC=XF3mcq zLbnd!hA&``VG;TgJ~PALoGac)3TI{-()7Qi9os%Eq%Ho@A-ZA-DCFTY4a+#{7*ZBr zxBGW7X|gCKpUD2e6A$g8{az<@cXGQ87ViFU_(IPT{vzDeD2%U?A%(AFDGnd|JYBURgI#;@62vZlf8aul|N z4NoV?Fjf@AZ!LxVNpUtenKZuIfjc$b{d(rVITh*wbkV$T_#ldWrkdzQC#JemVda{Q zcruh`i%sE}<&R9#G(rw5xQ1SOk1cqPF57j!6EWTPk7N(W7!i`}P>`(0Z^h3a!2dXR zWZliNTIW1yd>n-Iyi^FzDI_kidwCOf6ZEJ9e6MKUaS}Fr4*kqd)48p$(ej{`cmG#K zCB|`sv^)!jXq+LiH!#-c^}q(R$q1rC_bQ8;c!2yl%~8l~(-fg`-NwZ&=L zR4b_cg3F0#3@A;LlV3^D-~-lfb#uD*uQW|60|IO2wbrJ?E2*Gk%Fig5Lb0)yb%JEu zQ9Qa=v;8Db0ZOs@G3t#Mz?9Z=i$`N7Qbi2X^O!~K;xJ{i->g=<0s2As^^TuY85_iI zK4WE`8iXflNjqWy&`^YKbfM9Pw0C8K+Rg3j@mp1Q0kTvDuVkDdEmdj2IdPL}d}D=d zMVl%8re&-&^o(O50#M91^-0SIBp{^mD#8;UT1S$FeEt*so^8VCry2W<21`y48Y;QfQ zKc0){jZ*<0YvW40wno4a2|bx}A4Djg{a(5l++&!+e=$MgPZ9i3C*p}8{E=1~Nt8c8 z3NwE`aSODZlvO%*9V9Hh#zegl+(IN*5d%5A4PdL+W1;SYfNC~%4dV^dR6lY&cle#+ zNxTL`zEGck>#OC%ecwwU8}s(Z*=yGg*jyABJoE1$u zy?FY^;(FwRBf8n}IbCm_R|%8HNW?S#+xg(%J zQ&ztY)5mPlqUrqG517PHD~DqSp)P+TW+qV6^R^A-|w zXoRX;jH}o8(K$@I)h`KIX0{Mqb0aN4AIZN~WR3asH6kqc&4p*~!%MMEXQ4a%jzi`n zIl&?|mt&!8%;C{B4Yd@x?_#^lHpb?-cYaS@y{r^A!d<#Kye-;pFzZnR_F_&)ci}(f zkj+47bsLQ|NuS{KoIqn>)%j-?l?#r=Z;R9**N4@o_GlsgNDhWC!?Y5qm!?Juvf(Lp zjRm@8deDjj0t|H@bv=E7^NC8;_lQ8LIf+wz*W5tf6Dh>gmpfc^^=|BF@STJXlqzF% zqBNdZ##=oifFwv1ZP>3tE{7U=EOoPLIBh6gcZ~`Yy}TS$69v&q1tJ204ORmP3M1s? zZ{xoY{M^ifixCDaa4Q+_qRCNxz1M~p$LL@{oWq1vyjowSH5=ac`6ubJo=hsNn^!La z4aVxxS(P_@j{)e5m0(NW)M5k(1xPvp05J! zTVlHs%yx6y69D;;k<&KTk`M6UI+5zk_*aX?|60r7zhV$wj^rA|{$b~)7*6A z{ABj)H^+^eSiB$Oznyg&0~6TCIP4bSp=Y;kOiwW1m5h-M-1I0U!E8rW0%LMJ7`$#e z-CWm7$J2G&%0F9f-0}N6OHbN@LC8B0v&YLVS1{k!5qAKR?AwCVjvGRP$635c;j`6f z{`{vr!NXy+7Q>?OoZr570junCQI*`~TRY>ZO>|B6oN?p7^@28@9S0q#l+c9gQ56yu z>;QduTiJ=I&A!mkKgNxgwuBaK7aZ4Z-j90vuUxoz{%G}gCfo~?M9fs%4yRYy9=_{o zzU(%t=II1*A?+NC!6VYqtv~nZZie(x+oMVKYM)SKOVWxgG=u-dlkfi5Xf+TmeMp#K zLGTZv>yHdKtTJa>&*MPkqh{EDL}RVBn&5@t}gE$MZ1R7s|R$^Zq{*F z6xdrE{fmrE*==nPzdj3XNx6MwaScvS9@WPXm=-!)2_^l9oZlS{lMq*@3vtSEK7IVC z!=yH6#C)*o-uj=izVczFF9^MM^5pTS`Dd)*1Xk((S#52nze`<)kR2GBOLuro*_CDN z)mxpy9l(5CzhLqmQZ5HUBCWSb+MA)sAZpfRG0AwY-iqT#N*b)(i$+?#=l) z)w4iM3C~+o$Dsr98=@FF76uNYPdItN(erONXMgEvU*)t76&=tqS?;aB4wdO5{oYc= zy)Ko<%mb)CHt|NHJsN;vFNCLew*vw9UfYLzLC9H6ZTP*<8n(pf3Yh}4-1uJvxSX}@ zM|ll-?z^aEhadjdq9GQW>BYsjsRA>=+?is6#~+r@A6MZKkuH1VGzaURwjcpyJH)&# zGMyGl<)=IB1FeC6>N`PFAVglSzW=$48TEZ;$O#9SjTo* z*Bw`~(=Ht$_bkk`;%TFysRTGrfNLt$U*HPHi%c1VGMpSwwRDYDb%O!bMu+WQ0#zn^ zV`)-r(8Ld7dA`a5JC0Gv-*LCO)1Nu;@@o4%Isxwoj2iT{ga2}eh$2h)?(;s%p_>z2 z$i?u^u!zlUNYQr7pVfEV@iN|JlMmQwq42aF*T71IvG`hayXfHv<~mg-0sX7Og)U4U zvtKXaoulI~QH;boZ;j$}-1q1tPWL0K$G@`c-`DrE(mj_C>0}O{mo2^}2@><;J&|rF z&`co(fY08-e)lbE7Of1!iQ|qKC_);T8}Mp5Atd``1QH~#-AGl2#D&w83Uq!xk-mwa zqq&Rj|C464qd+V2O_f$6o{D^WqVShM?U(;Rcf_F#iI2?Y`bi=rJohfDc{CpxARF>b zKoXyqZC#FdF99J2jbS8%f;Kjtui;t0=dlD*IRtg6Ni4tCiXUp5FRK8IdmU-`K{j$n zrobw94R_EdM0ad9*E$^~=0ChMPI#Fs^G2aybxa~&`&n1YyT`Gxj9@T3Ch?^s<-pV!^*J5k(tA6o&Q-&(>% zK`crJdo}cwGST!-BC|au(-%lQ?rHre{U^bLyQF~5Wd9C#Os@J%4&KmFeq^6x@Ag}M z=bs3skC2Ad(c|-7bjwkJ+Gket;pq@C9 zU=sLfP@I*~P@&?#3`NHK>w3IxoBz&3w9kyKk6!AuC(t1wTkX1txmFOU*}wfYy$tYq zseOW*)tt`A=H?Yy7bD3j%|*y)BdGO@*G`U7mYNy8Tol_F$4+1CO8ool3%gLyu^e)j zAwgqYLkUlc1>~f-xCEWt6G2-<6`DcXYWaahy6{KIR^PW}2O$37GmB15fLbS>;icvw zWW1AGViZ62<}kj6lU-gu$$A1AMvN5s@jXKgH{F^k zr>4UMqF;x(aRps$hO}QMtnBNTlk8~!WBtuH+IOmqN#5jlBDA=PqqOsJW5Dt)nS0TK z=t)8feU9d^G_5p|o$;&UZ1&9Szlww#Tz|9_&ic>IkQwx!2A6^1D&AkUl;}czw5RXf zR#0E|?2gB+EmlUvHABWq^dkTk*t*{qsA#r&ld_0=?17nD)>A{Dg>3!ut{AUF+;KNb z5;w!_Itlhi*ZJ4v}u@u0gty z5D*Y40qJfeq)WQ@;`e^f_dd_w@BVKe2gfMG%-n0;v*KFkbzbM$s{}om;$Z^ep!w1F z(CNQtZ$)d?*9r)KdByPC`G=?w$`+P~(n%IsJHBg-DUSN=AweXal2n!>kOF8}roZhJ z0F~&ukc|*d?9AJ#Qg8rx8kfGk{vG&W94)naY|ct)CQor#o3r+22|tsm#eh@E4^27n zOL=S59P~KbCfgmm;_NNv`fy5^OMee{ml3g-^6B}GfBk)hc6C>ls!JXtzrlm5W^dY}&srxNijA|bK34VR3YN$U@al&f1$Xn(_thZTMGu+Xs zCXQOtRLML2ETi*BH3~x0?{hjD{i;bD4t;br!9nwLrTrBrF;@#tjPfnq zc*R|Vx8y(v>_A`LCG(}f&HOfQu0=$kb7%}GjD=s3txuR_GklRGPMw+=Kr~}G6$aHq z;2haLGrv$s0Ed<=>Q;BuUSk*8E`bW=&Mqoxgq40-$};0-YR2F#c+Q(bDZ@tJe&-vA zoUQjDciO4>nbPCiI82;V(>x|p!=Mba%IaU<8i`n)%lAOI;zk97e~FX;gb@s})QC7yYGlz+_H!SrAdYk-4NC z2d{f;-172mEsb&BAs3rvXmI%3tjTaGoyik9(I zGy+Rl`#Sl|Y(t+(a`ls45tiXw%N%abo6j}VGk(X3hM$fp;XZ)YW=8UYL*2&O?>U~g{?yF zs+Sc;61K{yZYjZ^HPdtq!#rGC7B%rERJHUYTb7h8+g+oy&33~8k8b++#SO!}rX19U zMX6rN{9K{eoF{(iZDANLjH!&i6xOt)wB6%^ZYkV1%bL0ERxVfTSB_<&;*Dv|%iXJ;y zKCbTFx1{x?lR=W@lfR@+I7diNKX^Ss<&F-A!O zt>%)Hamtduz1(f5$ zhiJhB3z|`~xWfB({2d8Zl?w?vAWNc8WpI4U^Bl^q^ zW*i!fb&P%VjDC#S=Q(Aqo4FKomY04 zjE!6ADo>WoMn%x=I+*2_)_6zX6VdjUjhyHS=1v}GJ2qhY%7 z<`(dAXRm^{^wr-dq(RqEiZvY)$NVmLEmv^Z7*NRZ~?ApVxEmnj##OC~bM{2Ape zDIR8h9lfXIlFS8JEGLPj^Uejzan0$!{A@D)cEhoEndK~dNE_Vk5nhPzsd^o1Dz|t_ zcL{)F37`k$kIEuZfTkR8D7ugMABte_#(X<6d1)h8gCX0c2msng9kWO0w;6lhv9Ym7 zB{JPFmP#|cpnSz@=w)qfEqj`xVwONs5|d7k(3C7n9IKUrh}Mg;ET!4M##h;E1=LlU z7z2Mf^rD5@)>%UoUry+!%(7*9i?m_uBpV2U`jX5yX$y@jwAax)i~5!g8DCcd#tC_y ztFi<@z{xrFP!o>f|3_nNC{a&5OgMpyJ;7VFiNijqpwD*wBa*UN&UXGxUF`>`!U?^B z4hZVQ%szwQ<%}$SV6SMX_fK72@)>dbpl{BSq;&fP@4ODa&KFN8_O9P>zKH{e5{6O@ zx(@Oa^HZg@>l9YB-H8-o_JkXe7O= z=}Ff-Oe*p#5HXx}U-kt+#-l-`Vvb0bR++YGO`VXdFmPHBx;^TAbYFQBi0BMtl%0Q4 zgjQP)65I2>%@lnzoro1a`INS4<VB?Rc&SQAFd;VKifpQD;?;%>w?_nqHC!aDm))!h- zOlLm7F+X+8K*kpD(zaaYeo3bSS-+Pksd5yv8ZiZ{`XpQHU;_=wfX96@-{nE8G4eAB zT~bTs=4gTa?U< zco=^PYx!!k#9_~uMaa-IJB6>m!)`8zFWlL!?N6b90gjeJ^gDPvMl)sV{aV}w_7M^& zoCB-#S?KZr&hjz?SaAjV&iCuBeHr*(db0fk#c6f(2)#RhaK5=MqXCtG1g5p=KZ(rY zVJg!GwKY-R!#?pm?e^9zcI6I#g5NHQ6@1KR6+(_ws;mHM20-)jHldw;>&LpJ+mng& zpme_jn{wD;B)M!aGZMENiSzn%Z(T2Zf0l;@=1by+j>}}7;1RFWg`cYu$Fx#=g{yRm&AcXiE% z&EKOdg~(1o5PgR5X31kqqEx|l6)O!3mOr6AbuvXo9t`lczr5a8r@>Y3{1)L@kl~6O zVKz_!*xJ0E^a6<8TfkyJX)bz2r8AR4* zp>5)NQYp2sJEdi*LY|zRp^d-74fOR<#k{;Oe@6Y6awrv9@1t_4qk`qc^t8KrSIcIv z%7gjhn2+{tb&O3@-|=&qy^tyDf_27=naaB9kaSw@hdNduH?hnM=2-_`t63A!|8|`^ ztLLuD1f>#ww?{gNvE)CSjZa{XH`BwrKt-a*-p-#-ua1wyF)*(IW$)Q^e}X^3<8IDmn+^QkB&pnE;_~cSlts+EFyKd+|Q`Er+AO& zgb!bwBBi}M)dhtxL5F^Zl3`dG4-pI4h`AsXeBUYY)3E`5^DT)IBYVssgjP2t8;sC+oz}O zDs3neOdE8WG4vJmhCqpB#aGEl1{ezpLukO6t{f@VY2`-_V{{lJ0ea`}NdS zQAPK!Q%YBDd&pazCidgi_iII(u}H1mtEy-`EpBgai!M(xk}52Q7x`n+$OQuX=oGCD zL+NP*ukXI-=l581?s<)fpQ@5VMKdopE$^XQhJ-AL%1zGF6Z;?;A<+6w02ku!di8i? zXj|0=pu@($Ze>JQTOWMp^zU~T582Pw@Axkc^n!d)`}Bs2dsWM{2w7Y(>3@LX{?@?n zYQyKK1IY)_4cFJ#>yoX^&Ee*ybse>gjFv3xHnbl_{Gm{2g+D4PssP*3;);#^_9T_C zE>6nWb$fi}f=0`jk%KatjG>3@#5E49XeL11vak!WJ`O#8>CAQj&+<9xc~O{C<3F(< z+p@_zY4M<6Av4p1%{$a}K zRQVA+;?Uc6MzFl*ytB>n`)!a^qa?HX3l6=|e*0(Qd*v}-$yxPveq?cx7v>elMf_ki zNPDiRZPw+0DF8*4V{kcS>N?okISdV+G4u+|UOfZajQtgDo_F5bcVF?r4jW~}z(1Zq zNoMwA)Qn?ZF^jZRmR(pxuY?{o#n6rDWOH~Es4>F;BgXX1_XaRRr~-k>AFTe@=1Gn9 zD5wZX$30F(41ChENOoStWV00i*_E%s(A`NzZikt-A;u)hd?R~4>0Dn&Z#blY@b}8WJ@B}g<3$;0J>MUmbsy?V!fu^z1)G@60w&)SuUdNJ zeiL+Q@$lW?7XpYJ>LEY7?E}THZ`bsDeN)0QZ^N>S%i78DA?}mf6OEoJwXGNTCk!Bp zb~c}DGP~#DAN%pJkNI*u<>cUX@F&)h*}RCS<7=BPkFmz1Ff-6O7U9jPfIhWQSARj9 zfRZHNy*K-%X*1iKkpJB)1f=Kd+1>{o_Pks`F_>Sb-Mb;C*xqsLn`fSdz|2tn{(KU{ z2&4}bBxdj>uPCalHt<<#G?#n?%)+7X=xzRoR!crdzS5-p%#R!txA>x26qX#P}7w+uT3B_*b}m&ZQ$SDQ2TaYeP;%%n+h3tnbB zHakIaN%5bf7_QpPm>3p&QUhiFt~xkXU+$C34Y}k^6_+rVi>u*27j!4)Ejkszqg3N> zsN2R{zMCvO7~gDzPl|{n6GC_&uc$&NX~i|Kh@Qh4)a`UPqTgVD%$Uq#6ihWa^b9lW z%|l%48etw5#M>)B`?m(-$qm5(vyZ~5F1^?NZwsHwZ&wlH(3UMnlo zO6h~)_f!e#zkehSPmZ~a0bsb+M}8P%F+=$T>~z2e&eMR!|Vuz|#;b-S}TG-}mKV?>-lC@INhV zn1+B}Lzr5Dj3S*%PxgY_tCUg5dJt30_iRXST6R|=PS2C0qpRU}e{yGiZhuX~WqMyQ zeC4!YfWxi?1EZyMUd1O&=g=<{L`kk5(*0j7D*7wNJKPY7j;5Q;EBY_{h!VR4jR#Fv zIc{>b8*fobeMjDr8TlYF%(}$kQI4+fC3Q;}%UF*`I?^?zDDp5!GSgT!d3YR?Mx}B- zwbo;D>qlAhTp5@*=T62lRMmIn#PoxbNc1#P(?Y#ikg^2QyhU5(<^bZNE8h@_Qz`Tj zjf|hvsu|$}AX5;Cy5P$g`_T8*#sC6J80pVNrbvIM3s$KDb&l&5Y|}&aJywzwAs^bJ zWg&#J`~oTu%XV(ZZ1-mgF=Ua_R3!|ck17cBcszVxOIWIqOlDzPr$kF-60yrAcG~jK zS!f$*12=YKV!>Q&TJ1Y|w|w|U4TxnX(8^&@ywJ`uZ8Es;Y62=6HuR_g)eNh@ONX1<}!SsFo z=dVPX$1f2O&~pQ7=bief?FP?d{F*gx$;xPOjVZ&iDO4_^*a_YQ%uD3t?E2!=Ttb6payFqwX zu16%wFbkr!H^`#_>hIN8Nk3viBBMlVm6Nf;slPaReUrcv-$M-S5F5%Z_Xq{UhcaOQ zR|{^mwuEiWHyJ!ZS~G{1+;0|F#r3uz6_*+9@3?cc=A@+V*7H-oFRNRdQW0tQtfH`Z z)u5E*o~};|d;)+W{`C+P2Q(c=LPU81ikOtyT6=k%zkJl}E7ltg1JV8uYmO1!=>>}3 zd80Z)5@O+R0uOXkPNgQxtvBpzVWZad>CZ*|Rj}v&3Wqj({AD97Ey#u7N37YS=C3a^^j*>Aq93eB^1O-gxjP@4v_OJ-5Q9v;Hj{gT z8yhwF{4#YuGErcFsdzoJ%xFC;Hsw*$?%|JLXHw(0H-^4+b@C! zD>W`ji-rg8bdD(j>^Dk!cVy&T@t@#IYmIfI=RWF#%=OnH{ z?|-%by`v&u!p=5>fw3a;y(?v$f$#4C#d)WZ=Z#-x?Y+5CJ+0=;fH=pVTt?D4qolo@ zHy)+4?0-J&Z3{xMy=yHk(7Cy};XY+#v~)Uzvf~rjtUEYC z5!pZ7yeaq*Cjgfuk9ZkD+OoAeKtJ$c6FNURIk`Wov|I@=pswus1YV|nt+1JRaM9II z|M@U8?%qXtZfz4pw#MG}o*6gd+OOBST5^x| zacZfg^R@CGv%EOHZZ2x>T-I>EL?00rk)iYn8FH)&KO&`uzakSmPy_TDolKR10jIOnBOb?|FiP{8zqtkvXAA#|1pDreNKG2 zA{-!p%{#VW1a@E@s;(-xMdJSzt_wT6c(r_U5O?S>-RGW6_;0rj+&ypkw!j#QWwYMx z?PUx1+uOx`E@jxEC|y7#dzT# zM+OSX8)`iw1Plxe;ASy8G6HS^06t%V;nzj+KR*E2mF|DO?*H?ySg(3R{X2DUJn?oARqI|n{Wj&c0AA( zkBjl)K0~st-~y&y6!)~a^wI@iJ03{rjYbXwVYPWvf4T&@K`vk31m`KAgbArN(uYDm zMu!}aP&~DthtdU%4&gkyPv`P-`y>nY@g6TqNekqig2FOBwc~275F|GHKe>0n3km%0 zhQsK&@|YrVOM5~8p|D78!O2mlRNA67`_nO&XCBB{z@DP&9|YgEJ2GjeslLvp?s_+& zFS7u_5f4Ip7NP3dE^hM`3E8oXJ^KTsRa0OAb+nuQ9!k%%`KH+XZJq!^<}hpwBf{7O zJLq<>IFW~bav8L#=6+BITB7hls>Fvyfl6bn@1c6Ho_;TQhDl0c@qY>*+Ac;{Ef}m9Mx)W zkpNJ!hW=QLkIfgcsqqT8srJf3Gf}eg@%Bhc=6$zJEF^$U0p1QaD$gUPF3DZ0%JX$O zT7CD~GIPY0OpRjG~m{6mIycNh~<#LOgD6KbtziyE0@IZ4!ETDDCx?s}G z3z_Mm0y6=WxuA}AenrsYe%4=dvSB(}XgaJ zew6k{!MKOFZ#F1zR{S+L0Y*vIDw5D>Szve9@8^bLj-BMLYbaV8YkCS;qJ1G9ggmUL z#Ji3!2QfPSZcXN)&P9F2g^{2!K3NEm-|-5u%#JQ42rRbO&M%Z2G$AK}$jU&<5TNmW>AJK!T( zh{hN$OHJEo5s4)rbo}@^dCkG`9C(#=64+C=J5z`ziGCPMm(=9=<;f_KRkZISE>+=- zH5QAoy!w-5OFFMuajZk^6uIM54(c#x8*5w0cQ?8Amjm~TvMtXOcxhrr9r9e@h$-DE zRRjC+<~`gb=ZA>XOQ}`$AOw*!d4I&7EvGEKDe<1iT@k1c4y+}kndN_4U+UdHj0^h$ z&N1SrSZyXa?V3Wwz%=6MsoiC*HSb`6n^(9S{^C;ZP?T;#tx>f6yp%CB3J75EBhuR* zog{*AMVFJ8B;QvvE354j)$?K`ok1wwF4buAILTu4nJ|Z8-p5aEbv3GqI>g;-K~P4 zbn1d{_*fxH{Vv!Mj4VA*!mU42kTaDU1C3DlO9>@r=H~c6Vi!3K%3(u~j1w?fTibj%GuV$`}388(t`4gWIq0Y<8v!1moEh^fmFjnN2KTy1x;<8nc8=UdogDJoX2sTP1BFjET!utVmyKKSAsZlJxT^41OQwPkAIs=9})pRy_^072rUL zzS-{|!4;x*-1GQ9d{+XHJT8BSK6;i1B4Vsowj8W}l6Y=9n9eg}-|){J87&#yny|dh z`xAEN=6mbqSXLib^brq?8G%S`hb{|3#o*21u(R1eC>$}xYbAB_g`W~rieZA|WeKWz zF*6)0!Nk4GHMf4<$Z2yO7lGV)BW0( z!Yx`Z;m5npH0<56Xft-3=I`)ZkK0ldA-7x4X9MZaI&jj_k*+5*Ge|T+Gc2^xk@pQi z!|?12X@J^V#ADjlL%n3;w1$kBgQ7&d6M0(CI}!LI6usZMF`KlMDkn*Bc}?p8>TX_8 zx+$h>N*5Wts9}{`#%xheUc`d9%hkTnZFD5n(*xzh^C^$^ve6`b@c*8AnfmY4OL6as zS1U+Jgx+COE^*tEBJB0D({8x9zQuo`lV6atFMB?a83;1b?}Lv26|1>&7v+hL*WO1% zTd?o9dpHz_JyFY)rSA?=Y^o@eU5UB8iwu6M_Lf*TMEw~lMn{Kc_HQLdjt&T@?1R%r zGgTRDg2el5irH$1ph&~%NQv5PG_pllWOS2OqXAwUo+qggz>6-la=Q*oGO3OcD~9)fg;_sWvvHjs zAYXsud+2J*HJdE=GW`U-O_j))agxz8hr;jGX-I3M=t3HeFupmrC-@i zptd+7yW_Kx<>5No>;Olg*v~+1haaEir1N721yua}IVgyaucq_0(?)IIj}~WI*Bkn4 zT9wb0iK>df(v@e|3|AgUtDwb;j`G5L8zfHlF%Q)zK#5)+tF@9`ABwuO`0@#mtZ*hq zWM{d-_UZ7#r3o@JixgNL*c_%So>;}SmoAf&DN~lJ+HIjDFVS$d^u~BvhK$H`goHLy ztTAHCIcmctuwek(wQbt0TyPn7SU$*pi_?&$l+v9TC3u8rhr%f0YRhElz{oh6tz@us z;zUVU+Cxq+Sv2@2-z{(YY&PGlCvpMP{bi15tXOrXSnix9y6{VH;So(wOBP_std7Dw<;1iJE^U#qD<0gxH!u9j+UGLGQwz{S#Z-9xZUD_;rn(JoZ78F3zk7-<*^NcKIlNwz@ z4#?BpsR}Bp{Ea-DUF3m^{(*t{sD_1XP}=O+2v(;>WBT=i%Hxg4!f$p>DbsFd_>Mv6 z2(9JO>wjfLUzk6Kzt>pd7c~20kV@ z46pIf%9c3iQR`4lEuFry`NJo5Qr})y*q3>`f%=p6$EJO`AYt4kr^Iz}-@1}qJx1bH z)Azk{1JaM88}*H=XH^Fi?{DC{6Q`E|VbeaGAr{vE{^(MN1aOtqP+#kz7SLh##XCO7xL(lG6t=E|?Cl}ZDd?OnX5s?p2 z+Nn4LR&YRlfx~9(Gru%LGfb>Hb*_g15U~=a7upIqV(9(S7mOeF-@MOA53xdKc=pKG zq7VpSs}3+J=7bm;j@vzz0DQ0F8?>hbB{rAFUCp1y!g?a$y)l!E1l*!uq{*}BTc7U?7dU$2tMz-MJGexz9udSkP zJ695UUP5igR8yWl{#feft-aYl$(ilP)jY~V{$L_A)B_$9@@UCpiFmqQr75tK1j;VQ z<0_)gtKoF&#>T@SkPH9s67g?9m#AE~<|A+}NBc7St6cBPDrxf;1ow7-N$Bd9#EekM z=L((#HdX(v7+I=<0OXQ>k<&-%7p>6X7UYM__(qJ~pG_Xd`VGqAwuzm32Ypfx6`xLv z6GO&UrkFXX&!d_B9ce0QsB%NKaz`H#Rle7U+a1Y<<$DSf)y1l(vX?<-h!#7YjJxeP zST-##z(CBOl2O17JLp-qOpe{Zy4@8#+sjj3d%h!BHU4p{89w0rfC4^folHE;vEV%& zi3(hBaB!weKZB;Wc6@qze-H}JC2%U-UTm=#+Wo&2ZGY*0?J_!9%$_@GjurNo-E1Nj z#3sjPW3dI5+Z$m}uYI`7`5$}Y$Z_=O%>in=6Q$G>jPKF&w}~`M&#S6J9N+mm9Fn~$ z>qGSFNuL&{ro{7#YR+>g{It;jnLJRxBGy^cFw%&`w^gvdKSJLk+>{$urdFnudTN#* zQ_Q&|1KnxIuAhrR6-JE{#M`QG71&=e4Ays$D&Umb=g%EK4|fowWYuIu5Kv;fRZC{) zB<=yx4ClMB2@A84eY~|Wf$TSY zPb+AdAcnPfIfSlvk5MJWY8%=_O=pNxqg+vI#zBg|7S>Fb#fui`sM{q_w6D(nI0ZBr zNuL8+2fJjk)>^G$i2kByRtGmDl3emnE~~WDHPy10S#AfF;`z#*Ho~HiEHzQ-11E3f z3fip1&m>e+HWS-~(5xF)&4LC~9#XuTAzK0T=()L)O#;IN>8yx1e3X!^aW7U|sO=+1 z#g@JN%%|!LK^FQAv_`Q5xQU&(r7&F%zi;*)by0f$DI7-|4K<-{) zLa28y8#^F`O6V&Q&z7*6@xC0e9JuHH^O7XG#wgr&UZ3`L9-IN9fb!_j(Id@TM%(HICTaI5Lf!gLg1q@AnIA zE|l;)5d5yrY^5R@1$yuQUHPTr?uTLd^QkFBf zh@GV9)1Pky^^7I;zlzBfs_NWFY`zGdEqFQLm&9aLXFPN?gu~U({Nj>@E`%s&jQ?{t zjiy7(*B>BP^TI*nZrF0k8lyJxbD|%xDD#SOrNTvCw{Kycot**jQ|%v5-B@>iSVFKk z8GHxiW1fH}BNcHyP8KiKk|{L(Lpxlsw0MWSrY(|f5@|&xUj%Fg)1LM-cP_mVH+W79 zRo`K{EiTOBe~US~Pp*m4r?Anru+dGso*7nQQoIbq8eG4|m_sZ@m=VmZpFHpTr#=M#Sp zR1EOv;t70BMkE2lO*iCi`g<|#JXHjW0u-=(NGC;UleG8)>+qRR2M^+|?DcbDMvGj9 zc4$xkmXzHP7#+frGvck@5SckcpCha8Sv&xg{u%5FT8s)>mOq;q zPv4s6slq*hgOihdqY0YXN>p_*@Yu|!&o>jcTt}x3_8li|5xmY~{QaK=;&D%iioZWm z5JQHGE+nX2Cm69s0%qU>uhmD>G#Ob09C!sF{traRxN17@X+)M^z}3wKP}3|*LHBu5 zS*Fdn(~B#b(Ayt|r+m>v?&Mq+Vzo0;NrNCXSTl+eotE%@g$Oa7U_=Zp2 z5PJO>2R)0u@g*k7re(QHV6k|Uo?+axD3qg0PZ+BjjAhEJp#|Lmud=o&s#33MEzTd_c>3<$`T_tj1cy2YwfZOC$UKgoK-K*uw4y!YjfB zMXe3Fr-4$=kxJAJCe_Jvb7gM<_RM<&otQ9CWY_&L${#Y9{wO;MXLJbJ*#W6X`WWa> z6e_~<{HATKg#$hmr^bxp%Jksnb`HM|6d*nH2*}T{fZ^ABqSw{@!T(u=I-0>uVP(y4 z(~ljsLm0{+!?FeY*fFSPyxz1}l~2!OYN4d0f`g9VMG3%vL2!5I^U}khN=gqB1-4D? z7?(O&r~tkWlf*`y{O#=jvW6AwGE%izpa&c3kY~aW9jzi&iKex7Q3Yt+uomQC#$!){ z#{2Rqb8J*?N1H%5+=A!r{+?aFt=Vj-6^dVS)No56Jwv=&UanAyI}r`qej6n!fOsrFajYf zoLl3Ez6JEWxZPtFN?MVspLPqeW-Zwj73YgerK$%!O9y^rdy9wp=F>kH%V{t!8oq0- zy-6n08dRBYX*raqaFbDMKD5b{oyeb#UAW)8G**Rnw|F*2zyz*2nimR9#MOjtZZNJ< zh@zyCDaH~&VFDzlxD@Bh#^*#|#I*qW2%O9Ju_B=-0z}`j#gRG8w_WkJTst++^(r=> zJX@UGi(yiQc3z9JgEDlYs06jiABnzhy%y971;(w8mUGi66o_O}&So{4*|ozasUJ(5 zxkyIfipKHG+;3l5q>COSIcQJ>|*-qzA*Eh&vI!F}lwuL?3r^=(ZIm$k-Q3&v<@cIvBL*_ssIdxwv$p z7A?-f>rVFXNsf3Gd80xZO3R(guRmrs4n)zT9`t0x2wSe(I;5ae_^oZop(jYGEJb7c zO;h|xDoY4kXPsa0=fytLGvW{Q&FqW9DH`s3-97z_mMu}mHlS}$*|_b>x^OVho<;zV z3Mx+aJ^tPY8Hr}c#H2X490K6fHO0Lob&zh=b?Jk$PJGhW_W{aQoe*J+vi%p|XC^E8 z6e&d?4!6#zY6&s{Q$u`|o8_+XJxt~D&d-3AKqLpVXgqEIUC@@su?K1T)Emxi39UW) zQiRsF7at^H;pVk?N|CTq&thBbQrn%4u-T-(lQZ4nZaC(@A`?|PR9z-C(>iejtH%}8 z38dEgSXxkjt!qYUP9UH7qqr1Fi$%JKqCeU=D_j27C+ z_QLFQ=k~rU#t@j~x9rbcQ_X9`&Br2P_G}ns<9Mg{(iC2C ziq~?q`m(lun%&{0Op@b2s1qEl)A6K6#dfJnps-S9-0lD)x5Poh#=X|2#F>ZL}fELz|)#wzQtN4D4XTiQ>r#n-c?kU2idDKY#X zsblT`AwwRAr;ezN9H-7bCHq3O?=!hpO&-0Q;_GUwP>{_YU4|d6=&DyfO&u+ft23-j zl5WyQ=QVExY-1nJ4t0tHJc@!dp9etMxcDMs=$<=7xQ-R4qc?QJ5 z*Yl<*9Mn%ClU)f})b;d;Jec{gTpPc5L+^%7(}_(BLB(U9(HYwKbaHM7Z#|;|)KGi|U!i1D10ll_`KW${x5=CCSasQ@DKZ+j_C)7le zHhkixRq0IWjZOD zp*=C-9m@Ur9+S3nhFOL&Xofsamc-eCMQMrrg^DIZt_B+YyN8I+yf_Ip%mdh{93I^e zj*oq3<+g3%Lo?Ef&6Jk-_aA#=T99Q#;l{_jG}n~ab?_RI4#j2_$K1CQ*%`(8O)Q@Dk~5=Dl~XKri7cLHwQ*(O?0VLp+T zu;%mUaHubN{h)L3meIxEA>4b@#}dZ^+I$aDQ%5&&#e{@^Zh5H;A42tvtBrf{Dc^oZ zF9%06>pCK*-aFT)4?{5>Iv-TcQKFXy!n+zQ*!aQCqKu@}MzP(`MK1q#K+bf8muPbi!PIdE~ydoCFfaGCHc$e@S6AgL+Y# z$TjWU1!>pG@0-ESA8w8o?T`{bvQrCis6b=MvW>tHg{>%urzYx4NpdHpm+JTaWaz@#81&$7wM; zeM=N`edrOjYZYO=-#sw|8Mx#axD?@Ym4*hdi`|(x4>WQfqgl{G*%xM!56%tOIj`cP z4yKQTf8sx`$IWtM%2r3@3^$acNnkz`J%TMkgoMO_RS6>>6X#>7v3zJZ>?mursMqxw zx<244d4NKNXC`0QBn99xi+l`))FimuI1&IM;aZg$zl+?1I9fKs2*at@R}vCmjSB;A z>PuAFrwAshhJ<((^IZXko`MfSv^dDMtoVnyttU=<0@&}1s2%Qa!h6y=Uur#|(h$$C z-`MT6d5{KNCi{xGF~_ZJU+7>fP{T?Q<8!BY0CLlk)c2Du0mKZUxBX!=WIw}LAvfM zPKJ`Ju%7A9`>{RKFdI^voA+w*$fM@hcro`s=RlMBi8sgRPRrD$r+9Fp_HK51R~$>1 zXzH*~SiTN}p_uU)!eiPho=;eEU4kkK?`Ipk4HT>C9(=lJ<9G>JZyli(AUL{ukx?e1`#B$|Ms=iD@7 z1cnrcB_(qWNd!cqs!Semz_fDdr_iM*9yFu2@ZQe(Wtd)ykk6ZsaKXMOG_-Rr2hZj% zZ?3&P-Ok~|JKe$^5FvjXW*-ki3m6F=9q$PU5fJa_T}$o9zzGFn&G>~p_G5O)ins2# z5t9s91Gs?52tEC@ z_u^_s+&tltY_v#-QLx_P_i@(My3sArkGtRs(`+s_P3kdQ#>z!c_MEvbw)y*RYPl7J zx3F1TIMHV_~y=BX_1HIi_zlvgAY7c&8>5Kg(;vq_F`R+j>&VtNLSO=zKVNvi?DWcFu zzafxt@77P0H3cnaICPwWz=Wf^PHHEN8lgBMLalz4!!d^eFI+3%#t#xMaBAD3!}TlF zif;z}=lYdb`6dJo-;;c2dKep09lu+)#TMuBX-JY})Ep}d()C&2nW%C2@_DZ>b-dA! zaBaoXXRR=774BRO;Vn%}X*tb8>dmsByiRr5)|`^+3MT3mx|*c-TLPIOrp1!sG^L{@ zteQOJNYVz;B#?tj#^BK&cj6NHem_1V=~Pxng)n95op? z0w1&r-O{3y=D}>?@ReI=#g3-4K0qE>*?pC!sJ`Q-zETb0CG_$?A=?V$#Zg8Kx4{N| ziQM_Y*ykVDdEUxji$z&<1*xc$ZaA{NyQ}LZhNI`kurl3FS|nR!k?CK3n4FJSep{XL)N%u z``jq51KGwD-@D>Ol8}8Tu!GN?5sC;d&{5B=>N1ZH_eDrk%fVdl#F}fFx1BLko;2ON z(Ylasjd6)ha8X&N!)hJ%TC%@o+7(=qpbA&3XJ1U3)r82jHP6?~&<)`S0bq&o*f^fkrz7mpi`L&xN;*{+IB&eo+Ih(1uv?$&j#+nTWI^Eh(?vIkxeNY^HdSBC;KO(F1e9j+Qy%}iV0Zm&`PWmp zN+Fj&8WTN)vV(sH5gNcByX}bYs-OGLoKxm~R_w=alI#DD%F!i>^90f-);POitV3WV z!#^6JW;JB;&q>(rG9Sc-Z{j1KIn}Z5@7e|$vv+vvB0hqV(eHlAP;b*z29K6mM%j|p z=dq2owQ+olOT`~F2@(%e45JR5c&3553eO$XPMwTy0k~#}MMKt9&Mac;k$D=wx<*F{ z=Tgtlpm|WqI_1-^TtGnd?tk(1mO*heZP+LY4-nklg1fsXxDy;gaCdi0f_rd>0KwfB zcXwIb-Q8i4GrZsV{+&A1R6$X-JJLPfw_HL=5`!ksjV2d7Nk<)7LTnu@8`&UP0=|=o zC(Ct;!sL?$HcTWk;%a`73uD2g4=ak;hjuOF;d#DW2|RVV;JkN~8+$3o(ode|=$N$g zd=9;d?qTz)1EN3-VmkeEwj@(tQ2^w76gpQuevd@x!(ywXL2njK520WdQ(n5~MTRK~ z$0Ecqs+uxhJIzW!5hLU8`_mN~i09)oW$QEZtaJ4H9GU<}m+X4vEwty`m(Q_Y>dD~G z#tKFb2cdH+xIWplwy5Ze9?IW}tBCs}e=|4`FhE|eiGzRF`6AH6s^esbu23qOi6WuL z24;`FYCinCRVurDO=WB3Z6t29 zo&5GJ=+SWzwO3zjq`;WgWf$DaC3cdXB9uHUnPM%s5e7A|5SxZ2EF<(Pp|6C6Z z-`%;9cpZ@0wO&dtEiFN5RU5(7*Vk)D%ZL7=%DAX0csYlffnD#(zh|X+lTXlXhjj_h zGM26AjNSW91AruvaEPb)HR@keiJ=*xMs&{1YOIB~i9%ew%Vp}FBzGsOj|B0ffqDi_ z?hsVEfZpMvB2A7KF-?N*b-lV80>`yt!3sZ_^H&5icIw#BT)1eaHjK=g+P^8khr1rl z|JXB9;8_pp{S@74ygQKO-xg|6T$pZ3AqTUX?Pd;FU*&&6Z54e z8hF6@C)W}@V0^iba%ue`4nSLDINh6)afE4`FZY2wBl!9M+&kFR0Dx|f@c=q=K(ed@ zve}H2V}APG>LeI$qrDnh&Wf+Mle>+V1tBI2E>&bnG^};7EIq zZ`r-?Yyfv&KY*t;`nL; zCNNdVV4~WXcBS4oN;uJ zHOtm$O#1BYH_6vuNrT)*L$rN+v3Tkn%-Y&iy??P}p0sAYNPA9coTfDQ{mAk21_k3B zTEiNS{5zF*?>}6vF!Z)tAe1XE-^<==XYig#6g0);khP)*SpDl%3sUAf2f5^^9AT@9jQ(sKO7QRSR5L&RyR*{(vC$MMK9+RJHNIRjK|< zI1D0AmECGH5E}G;DbyULEn029-3HTZ_0@0EIz%LOL$lyj?AJxj|sDOia9;a zgj!bh1ZHl>t_%Lc?nv@=+qrM0l((lRAAtMz_Q@C@R~+ZtCwjd~?%23IVLZ>bBzUL# zio9ON@SWCy-)YnDpsFr|KQ!4sHA;SPWbA!^YnAN;D1j{k1QXwtx(UdJh=!gx5-_B0 zyt)kw!z9Lz!@Ork)s;y60wmih3BGpQ7Lg?c>RYRcM|E_?5c;d9jY%!5jTyKU|4)Axf`Ns?-|fh?#H@7eylB%Piwe zAA5LtB{>C<33*jj4lyy#kGsjv&zA$&QT9H0IuO7>#nQrJ18`P3v*JjVA5G_p0R$Y} z*P(IA5pAA~%y5204RC^VTD12!2W!?1awy*iAP{X)*-$7D{q77kt;EQ{?s9^yq^2+$ zt*P6Pc7HNX-+;#@Tib3v*-2}N#SxF81`E&%)ERy9F~imi_+6m`;hk?7}|k1E>hyQ*)y3B+R@_2P*a+*dY9oho1byTn^_VkcjcAb?|} z|2{zPs4)HKEnLCtQ4T0T!vJKv+_)J`$op~w26WZkltf-Q88pfa9oE06ud{JDMcx3oasDD0!z?dn6OI8ii4nFGL8CdXnPFH4D^Oh12LF9DD;gu z61F(i3=00sn@TzTQ!6^IN#+y+M2$+67|P^B-{Zbxsk0e;i(oxasVu1>97#!g)1~$r z&!M{FgYA>d@??bV3+6)fKB9~xGaAx}`%aW;)bnrsddM9*Dx)&DGSHZdvc0)b9h(71 z>}d9z9r#l;eM|C}R&;+C2E`s$n_!F#NxGLMLOy+oip6;Aww`aY`L-naNdXp7K3_#6 zlnt^1zg8P5Rc9v`P=!&aNn04I^@S>Hrnv2DaRUXo8Y&`d${g3fvEqeVw5$qSjfOGP zB#YvdQ;O}Lg0Qn;ifjf7&gCRl!Ap+>(LgNw`)6>8Ru!I;d5spWhJq+!j!|b3gLwAd zqa$2Mbw-nf2w9v(9#hSST4B^=M_y_!(%QA8oT4B+pZ7K4e%0N1#c@DcO--B@%V@3D z6CnD$tEkwu-OlN)>+9-{&1&k8ZS_U4rH@(a7t+c$WOFGTPk~AS1Zt*^U6bjAKRS@< z3!YJ=EcEw-bS|Yp$<2=G<{ZP$nAG(MA=N~1yI9%#in9 z^Zs!>ku&3H7GvEuR^_|ZG{WiAFc3-ITKAuxX~emEF9y>A7UAx=GjJ^e8`LQ8!$5|& z+)I6KZ-LzYfwBs}AGiYQ(Wgx{J`??67XU|05YZQELAbc!MtHh;|G^=xfCIS16qg>h zL%1`LYOEGV`(TKTT}OyRD}e-?ij7dL;n|3{0*F7-l$SQIlbug&3W4o`F0H_F5yi;A z?XsWn9pqucJ`{=1;g#U5u%Dl-w>6`xBvH7mjYAnL{g)P@q@>1fm0vQ3WGoz;Aw}5N zYu;K>_|as=jt5x3EQYrW()d)hwZkU%dk%>j^(T!SK8f>G<-SH%YN((6Qzagy^~EVQ zG)W>SOsVl~Cpm7y`zf&&@^tGAys|q_^lmg5*DCXmw97vJCsUdxLch>G=Z)r2N43{t zJvg$t^~67eDx}swNT9}=3kf1BpOU^01A_Q`ZSJc}-1mPvEqbnOZ9Dj7{pi}^HW#ti z>O0{Ut(j@jQbl({lX;bcZsZh#^9FOtg&yW!Lne_+(Nc>$ZKYEBIkz7DJL{2Oc^qVW zMjq+enedjokAe|HDUaIc^4QCFWPa@7)2-74k3SMb+8Igo@W@aKG}o7gr{d>N7|YdG zK75&6c(k7b{Q&2!8Vddl3+m{xS!l5as6lT#H^alkdlT6c&yUylPrg#bu2}EJYYiYo zmexO)+XK#k+5v~t4qzo9>v38?-yD}XWs#6Cm+Z8k>0TgIF=Wzh!hY&12&4zVoe;d` z3H`5n2X{-%!n)#0$Df%%x$u7{wUPVQcS5e$j)D_wgx3(mvvYIaTp`?WTiMj2{~o5j z3Bi#-{lVG#9P|CDh4$+d-wCZyD8r*EJy{^NjUVkKh zk8Q(h@T}GDN$tcLcwHj29ZlxxLPA(}`8>ks3#TW}|7wbXcqUsiA~H-F1)3B@m3?MJ z5h6=pL?fUOyk>v*{CT;uJKfCkE<8sIw|%ne5GD(b_L%N~crRVR{by4cA4AjT37Ko^BJsXT~OI;8Ih1_Pk@%4o6UE`^Fwg|m2`~Mt&#UX0z?6?RK|Ze+90YZS{FF>JB?!UN4Hwf7*0x`- z+(u->D_%q~@UH`bww!KT9bNb{>+0%Gz--Bk+S5!!fG!5lx(^3{F$wH3Ok&nuGUfuh zn^-YYMeshOZ%6jK;JddtdjX15>ygZTqv?HfR{r<0I)_UMafqYruy9@lUgptO{!wW$ zYB}r|ilMnq@8{a5kUA+<8gceM+pMVHWTyJXFQcm{P@mZFQjvEP1em3l&#SXK3&!22 zq-&b4iC?u}^2)LYL_=Q-RaY%5Z>e?ZyjIurS&&QMk}b{NPvOvj86Jp-5N=EJL3X%Z z6vCsucE|Wu^62kGOp+`ABsiS8UvSFeo)u#HGYOu%2nK60T4}M6o;stT7~=Z;IjU9d zMGOQZ48;j`B$|D(1uBK7zGJc{>orIQ4-HS{N!40R<&vCMwq7AnNXe$6uyMLjr$78P zg^=iGUP`uJq6LBM?>uyau3J)W*};INK<|bLn;Lt?28w+18ETK$?AT7ONOiL>+a(rc zJqY8}=ENhyL(rS5EV7xL8vCVMs(acnLoxsOZL%2JnY#w#q9Z%?8?KMSqj9gfwo}n%J0_h;Kg~0nJl!OtLx18&Ik^pTeE*F0=B^a%eTrMibLjO#aoj zmuB6#70zH`XJ_{M{0PdM^cS2VDe}oVXHN<*tG+RCo3&(msKX$ca-K(8gL+>LvUhTtGEgOY~dO73slII>HbS z6Y-n|qp}P45f6Avk}YAWec}0C@AC)TY2q$aF&}ts{e3O4Hv>^?*P14>f!UY<*8CH} z+#D)R*`P|8bfg8-AH%l6O#&Wxs@ zWFwB~vF|?bwQp)|WOXfMbu6uY_xi_NS1lK2{_QBbbz==(JS^1$QF)m{g6g6~=+|F* zq4Mm6^sK7CdN|?z%VOW=R-|=YoQLPXyV%{-@U)->r0KCu;oF-jzYuG=*x5XZiiX{P z>TO5{bCiI9TD^>ZBybF{7gly-8%4O_;{Ton5w$C|*MPDu#SCuzBm$f%(h;)wA< zxotNxO4Zym20H=AO46dQn|!8KcbS~XukkYHT>9dM59mg;BZur&P|12;bX;6qoZQ@7 z_mIUp%XmuqzCT9aY>;YiTmMqaY{bkN&f}Vq(ZBaWHyrRscsqTqmR^U>;@J*~@gsqJ zt|24Xh}v6GW?5v)_am&X8x8R%vZrL_dS#0xVRW7Zi$bcJ90p}eFs{LrcMX0PaF@E8 zqWQKsOtCDgcIB*VuJSm!7)Ay)fE&f#KmS+3PGOYdUQvT9a z#L!u^eC=efXiVpf&@ociYG2KDA+3e+!10!Z5sy^>S zNv?`bQi+d|!Qi3EE)4FEP9Pw2A5s1;`amOM+Hpz zk3XZeXtE*mS20J)7N2;OEr$0a!{bx-vLeA%wKrC(jX~}@$+bnBu0Cuc>T?L=WrB%L za&#!VzYSW`SeDNE2(_cWx~l9x;Phk^8bhr76V@!gVw_UZ(H&GKmo& zdy3Zet4%6upfZ)_Ckf4L|+{Zt~iH@GCCIQ-_?zlDDE~` zXsXl%Fc4TeN~wM*>YgEgq$w?s-f&A@NeqTA>}kc%EF!!f^|w`Uco@n4d}1FLPIC_N zk4KQ>d)0!AilzQ8>MHN%skQ1uY8#t)pbn=V4K8xZ3LE?ORV5;CGK@{F|5w)a6lauc zdotdkFz0ed*5HROEhg7rnu|N$zom0w3LP1@1vR%=qt~|0n}5_&gy|cQWbR74Ss^rB z_$^Dds=V=^vXS9aWtMm8b$f@P3`h!-}CB{Ek8p8@r7}Cd)n$W`f7KJ>prG}S4-P?kr(g3 z6XmrsPb`mi9sN{WGB~W2KxNskvugRQ$^kECScBO69KRPLGFXPDb`+m#@yNa?IRMO7 zEA*tuB$5?B65aQYV+zY|Z^)MA;_LE&ke)mEfmFrDW(x0?i5yH!WQm15aIZa z36Vcf$Ft#;oIGsLt`b~|vX>w{JX`7~$BDmPGL_6)XrR%*g)0E0+E1d4_{NT6=l4*5 zUcI~i@&oq;Pt=bNMOlZp{5)~3eQYZf%{T1&!B}v;=kJ;4Y!D!EqghR}lqc-hvZ+*d zzOYcP`*qWv!*62$SG}PAwS5JNFDL1Y{%^^9Sywyohf&(*fPXl<Mu1zwB$gBF*W zpwZjWxHnYtQYWv8Vc>@(Uq5J&N``63n`y+GlK#WTu+Nn|Z3^V6pEEvv17A*%0L?3l zX*t({5ud!RB@$m??tG&8{zT;lyo|X#z~q>idFC)(A90PacsqK+l@C+_^pZ24{ z+dBq63%VEx+>R1jzu^iqNr-A6ct1yXm}J^-`&%z0vfeY>la>D^k>D*sofjq1FxE?t zjHk{wFG@NfCg)bw z_r|$dsYe*rPz5?|PZ(I)@y@WwEsx2?HFB{0#B(dH_R+$kj(W+{=eRb5=R|7`v_}2nX>!uQf%8iW|KswO@m{C^y19uUfePt_|e?6z+R=k&Q@w3~r3AD7`r={jLZs?hw|Tv5RL#0#R3-yUp;81OgK&TMde(O)$C4I;_mR=+Onb#U{9W6 z_La|B`0nTIZjXmtJSv zxdOMyayh|RUWC{j+t(GwZigJB%)Uusk0L#Po8N&@;`?{lDdkh#-C+&|elTR>q{pWu ze}(p-KPT7}&@Ehh8%}GkBaY?VhgzL>-i0+gGX1$qA%GXXeDZtL4IJdkX(YA(M*?)e zJ;=MQ*7q&-2^A!ZQF-F*YrrIrNa^k2#X%jr8#Vj9MK>~%yc2ML>FSUosC)!l znHKjuBJhZOTJX~&Dbv7y4X9LW(oD9o-GKBz9bNC^R}K z5Ed}fJ{ID-|HlNlP1$K429y4J@z;W$d?jqXo*8$PN_7mgBOMYEchtn8Zm_xP4qG;~Hy;A~7{y%gcX!sQ3j`Zj5)vLNznS`-HU7(p=@X4Um14bYhx z5e7jdtuPNkGF#O8F|gYcYFqzlw(PNd@|QR$fCLL%8bz8$}p{qKZy zlOHbAYAIbGkdNV#!XfV7>gQ3tBUTk8P3{USDN5iQ-y+qq&!uR0F8y8qnr{PNwvn;v zem$?i0?j(aM^bAw4ha2(wl@^sLurT!n~v8$4$Kj@__FwH>UZyT4rFjV+Y$AjGE_vB zz=arc5?8Z$6M>8N4Cip~!1fg4b`~*nm-kHbXbN`Oxyh48jJAG(@eF6;U%$##m;cu0 za{Oyfe=P7F&rINVA?SzHRjEqVufXK{?^#AV2G|41x;;tb17JV5#Ou1($Nb*E8?2E) zWn9`qs4!+P6;-_QL^zCF>yaFp(fUy!8}d3oJBOw>QM>Hd4Zk~Y4BovzB#ARk!jLZs zlddu6+joqfO4&`-GSOC4^5g^Px$ck{v?hZ_TRbT&lIgrQip5^SDAYKsm9T58xqR4_?n$y^|CeA%_!q56LqFw70^u?L}{4nL+$rLEvVu{D3F zIz0Ko_hjTEdp{fHDarFl&126kG?Q4gG7H+Eap_;Wr%e(aAqp?M_Nqg5&x%^*b(-)a zBNP7~RPeD~-O(xL&M{gUNIqFhaxr2C9&5IH?BK(QyTed~FJF_VqUo<9?Z!!8Z4t&i zQ$Ohf=&!pQlFuYDwK>~ub?b3xp814X2g(&b~9@KkN8d&4>G+X)s5 zagrN@|w9$G*K)*Z@X`j8ME6$*h%c1FyjPn1dr4-as+Qnz~!pj0<~`sMC?28 zAjjCjl*qUIq3UA#{%OtQA@7O->;w#r)bxywJ|TR$H!EL5k` zFSDXJDE#eA2+5^|YK(M~Tn=#__#m=NaZbZ2^&S5lkjRI8iu;~YaM52ku#TZ66I6ch zEnM6F#}bAIGj#sj`Xhab(Z5kYMjT&w$xQET{|>8;n8u_pUkw{aY9|KJ$>$euG@_aL z;!-`q9+kHgzb`+-?N0n1{qcLbQK%YC-s`dE8o&)L%sisgB$G~jJrfJ-=L9`0;hn_= z0=-?Ul=|Fx@1I|$NBYNaAWHT}&wnhlw%HCr$&v1OQqJO!)||nB;t?`-5PK zC@h>I)4@lUr1t$#v178QE+{3oq44{X;A)iPBBj89N5fR0wagO1UUqpN-<~QB>CP*X zNti`Op{EF}yy*a-HZ2eXp^zJ9e_JLe0wnMFsbPmR!3}etotMCVX^w4TV?1M0nc{qV zxp9PQ7GN=LayeAN0UFh0Aw=Ce_HBJYX+u_78NF1qaxW)@WD5|C9dQd4JwXrYitaHm z5A@xKX{M^d{w7^tgVFiVd4oOb>}fHVrOSvVXSDriR6FjAKg@>G7t zF0#Sg;vFweyfA6JaJJy}jF6uaKNkR#tmm*<5ISBzj~pAV{7>rCmZ735yK+R zTyt2yaHBzAUTi*aj0G*p_3~fy=A2m3U5_p)(-wG6GMtf{IaM&CXE=mo^zf{(CNXXdgjBnXLrpci3IRi*2j|09Xl99f^^9@xuae z8G$%*iyg+@KehFNn0vGwth^!AN&YmqL}C|2N3tj&l-Q)eZz)L+k#xy_7) z&8{4!)zg_@Chs^Y^uC4P8s@mLbQ z@t9L5W@Tc-XGqd0=EXZ%TV}tIh~6Y-WVyNZAoE|NIWTl%~TJE z0@LUXUk$Ox7OZ+#d_Y$psj%2EG~b{4<{4f%U)hg~yd4$jaT1Z3QG0;T4Ox2P*da5& z)v<0gx{GSP{qcnT5!g)cVwCII`lo7tJh>tC*b2!h-!?c1j!TVky?;p9s)PzJraGrB zk+kg=0oDHwz248i-xz}&cLB++z!NA4Yg!OQV`TRnzWIgU6PCdD=GxqOHyy6_tu#2{ z&$i!U#`43j#)2Yp8RUgID9-y$akynZ?0qR zo$Z%|2Cd#+j1ds$l|9Hl@*k4bk@^{zAF2P3TVbBoYkERo+y9J|lX&JF_WZNWTy-ey z^>6(jy3w-MSc&g;M%B9x7YAp0X(=rTFa{Q27DK<5 zYY)-QUI+3pQ^Q46)$w+C@jSs=Kd!NyFEQ;)iXssWelmj0sD!@xZI+O}c1JnYBnouV z(5?}~!R@MCXGeUmqAkwEtio>Yy?Wl>VidAKt3|V#?PL&A^+_> zwagO)d^po;=QLf<97&!gI^hF-hNV_l2cF_@_K^o5?GqZeQsUP*`x<_dg0amiv1rgTKvmqeWfc&<;V|kAwL4|d ztoYaJV_`SS;H1fl(@%K)>!V#8W_p+CFH5}jistyGjeQ%$3IL#C(&|itGyAJ&(iyy6 z@QvneImu7IQnR6A|6y~x$f0?5vi}yU8c%|g6w%pdUzt#TE>dsH`48V zRjB{lJPry*cp))#Y8=`c_G zHq3eUlnWxayJP)L%HNol@^00%XgEf>g9KG2mhQ_f6*??(g(ts$Uh=&fFV(l%5U4Fs zHdt?wfh&)7>kj)=lKagn7UD4V_8#TmEtq-p225mIC4J1;%fAat54b)(*Z{!Xh_%A zdO6MA+opxgHH;CME3;U3`OGsj+a!O7RV1h8&pxOC(S4?J;qvKzsw)+*w^XoYWfm2733AK)H z+}Ef^Boswjf!~&A@L1`lDisGJe7^IJ$K?%xwizp+(sFomVzSj6M&$Rf`EE~>{k%i7 zh@uoKq(W-7g=>AbpWpm8MPNHXczc=sMD=`93n@Z8)%Bb*WainA%uWKm32YZC+qnNb z#r2lb0GKbmXE3=RgfGi?leqjhBBG;QdZEkCSGsNWpTpdBG$%=h#@g~vU@-A#UH3Ji-YG*X_M=Q^= z$!Mq}#H#Y=WtQ2zk?#t1*7&xsp{x)8P5R2y)((9240>#4+{zZbpZklHVKsZYv+FY`KUpp}2BjU+XR{NtU0K2zqL6 zvw(*Spw94+o?p)W&0n5w-|<<3m%W%}x-Cfqr2a&@EF5Qnc%QZ|c}eRk3dmNb^D4QP z#^VZ5!_Icw37zFa*cx24V(wsiBsthbT+5xS?VB|;WLMn*K3}oW+K{o1p8Vpy%dP(> z$^iW6B73!_l@-?m(F}b;@hLildm=v~Pf6z_a!hh>5UllMjk8Y7odNl%^K8V$U0h0$ zOY_6*3d~Mw3+g}Gⅆ!h*g7=5eFbX8pTCDc_sN=eSZ(tqf6o^aPDEF4-sZ9qQ4&( z(8I8X{9UlxkGWPlV>_^&K78DMj;B?OAH-_PXWBEDfTWR}vN4V4>FE8VLmYxD?CRwL zqn=I)0}<6#F9P=e5S}~{EM^Cv4_V2yFHFs{$sVXlO7-vhV+Ox_FY8|90iR-q zqH$wT2#<)A=y4P4_G%KgOE3SukOP?)8?BW|Bmq~ra-O8A020|<8qeAG3rK1D&VTX_ z9!SFLG+nzw_*PdO2ia_H8ZM`kt-oO>f~Ay81PB; zWzx%UvG*K6EuRFnrSgJ}tTJ>zMkJ)cis$;P7?-IVZedK8c-EABwL(e2r&u}utzWBa z&~*~N2|D+$BnFWjG5(n@%$0VlokvNqk}X%fjywM$FlziTOJ%HUz>+YuGK8H(UuTX`nh-9~g{x(0z=ZTCM9MW^68-)u++Wtx1Oy`_JNgI!1eL@8bu$FU|5u08Zu zO^wphn+G!7B3J=LcL{F7+Hi)4bGrTO?%;{yvm3VB#*9boJX-FQhdyh2$E}^q3}IW0 zJj83dm54U_o-o?|bWWgLhjo$U_djJfmkz zA$O5hJn7ZxV?U_p*M;*mUDfzjef)=Q;?m}f^P>lS&A5DBKepwLETu>WfhB^#eRa7i zeAz(@a#Y-Kz#)>QJG1@V^zzU6r!Qfp8a50JOw`Q%nOUZq0Qw8fzGSFI#Sa-qkZ=D4 zfB>7$a)}c}Yx=ytWA^ou%;!iayT%{*15)o;O-Tny1(^rf0eo+@#aoT5D7)`@r$SE| zUIL0e8?;Q+&vZdIu**Mrv+$5X& zE=5_4eI)d3aPs)!%}G(X-|Z9As#_+W|J zXjx0*M3`-J^0FT9ew7OS^_OW$UNpi` z*>(ZhyWyi#2!`{A^)kUE&mg$V@7wI%L!X?l3OUx;eq%(efDzcRY&+l@f0>SvUYi;) zsLwe?(+YkH>0-Wz61`#5uZt?e>Hmx8NZ6uzK+nF<(P4oCUd8k*H^c`@<{X0YDMutq zsrj^H=s|c|t+8fXy{x4;M8PYI^J-wukC&%1BBg85OCuU|&|R$7bPXgIV#0TR{YQ7M z9+8STSfsy4HvSG~B%faNeom?#l5NvdQdh?g6DMEJ`BW{nM6SRoUgBALXu4!vuBIjF zAU;*hi$o$j8kCTNn0i8lNV(g^G%z>}NNRk;3U%FxX{fF{GzG!V8_x^y)m?bdGvy6& zoD$tQq!95sIB4u%2F9T?mdFezAhLa_lOQNYwBIe?^PfVuE}Z61qX<{*FCOW!TY;$K z^zD5NAA^Z>MxjZPHvpS=lx3iidm9DHSe)`ApUS)PP0|sI*J;=s{Cr^n^h18$Ss=cq zB=e-{{blZZ+fbq~xNzZ1ya3N!YR)RERWxcdRcQA;; zuKRX2@^h^oH{Cd0jX9v|@X0!Q?sB7FC)9dbuBBd*aG}{%sP-Di!DNbV6;{dsB0TJt z$wiohK&EmbndVuzi@j#K*c75}UH41L_uP4CFx!Ynab@3_P@O_@(F>qkGU1`tP*o)r zmio_^`^sF4@YO$K6g2J`90&L^0L=UDOV-&g7EhyNAqyMQY>O!F3)B6=3@tZd@QSlH zr85#gG%V%eXQu$3>FyBV;w8a|y0+z0u`7-DSNqn<866(9*@rAx!* zV;}z+CcfCJ|Eh+2VPn7Yy?lCXS$~OcSoce>sbTMrA{+qFugxzMy09HWc?#i%4k<`m$CG{#^tbq!qCTU%pBrpD`sG4YK8@fzzGZnqNw1p$^ zk(4=UW8fnI<0bRbO|JrCJ>32_BcjMU6$_yG@qGBVY+JP;4)0%4IU^!Ni#`l|#Z6`r z&fZu-vR56A%!SHWPn|gIna5FbX11H0+Sw$Itx^6xaol%yL}hrks$BqEs;bCm+7WZv z35^Q4B%)TCj^IE6%#z*-zdH_~WcA6WlEHU`so`QH0CnruD^L3y=7wNt>yN zMX0mxZfIcxj;W&_jO-C=NP0RSkEidr0vpg}?oOf1>nEgCbx|SV*g;kA3SVT3W#- zo6a{Z7<<}47L5KPu{uD<@_q9n!=9wt>=Wjsi= zP}QLJk9o~|ruLLkkqlAIk1;d0y{)e;Gb4P{x~7{F|7|Q4y}47pjemA`Gjth*1|2^w zN5*n%{i5T0+S=rbIZ>%ACMxH&m2$~Q#3$Jfs1il3l?dJnbxJ%`){8iBd!Nn zi5&e(TcIWBYBJL*Hx%{BGkssmT?+pGr9Z3;D9Js(P4&{}baAUPSvGrpU9`gZ9yg%G zn>i;PDy3Pu)ARHlh_{&2_yZh0VW9oGzk2hIK7nvvA1>i$+}v368WZFS#!OO1f|QfN zbWGKRd~g1swzf>bMk^Z7-o1KzU4NqhNK)7g8sC2WkoWXFuMJTI!g@QAb+6-cL15ap zzP&=^Gk9YGJ=$c_w}*iYwD6%UyDoZt7>TNBocl&OwJ)RQmV>KCvWZ52&YNNh>Rp8TUo8~8ow^}=& zSU9rYUz*3QZfysZo<_`>Wobj`lrnA0JpZg@OE}iXO z^}X%Y?iEykxR}NSYxg)v_%79gTXtGRL)Au0kYjSt?8};@vSqlo*>~=T_H8Whoi;o4 zO=>5WXYVYXDdOjG9N*YzWV=;v(%I#(>G|U*y>1fIN?D7cYcZl_%ncP^*?blswTE99 z9}%k#pWM*Z#LQ{deRs3V?3UUSd(seDc1ILN%-bJOMK3G+6D@b!maN9p1*7B&NTu_^ ztA%VgiC;K}YxRAG%g@_qXF)mTiMVs+o5iZ_eWTOuI&93aNf~RkPPa$1k;DQ?0_Uyq zfYog}!25&J^SP7&h=2WU!g}O@20~#rHQJ|lt_HXLn!K18v=phY%e=KbHRiho=&Jkr zX{o*#(g(@D?l9B+dkY>~NyX9!=Es7q|1AQ~E{DguVZ*vY4?|M_842CPW2SO_p>Y7b z4LU|Ru$@#EgHmR*;%xyEvV#2ZD-9oeF$KXP;J!yj6ytooY+p5YKJva`vgBDA8XhhR zEh&_wst&)!v|`;CdLLi!71)Ih6I%)Jdt6Y>`C;fyTkqa{G@Mx1lGJ;q`VnZcba+h^6Ah9 zMb*eLoxDu{mr%T;vUJ^7XUi#%yMqw^sAWAl#nj)CgXt|8lDM zGq*9>!uM}O>qoGtU_rM{NQ35DrGm)dm5ecTj&RE7ortGUYKjyWvy9-bj<>puO6cqX ztxl|YqLQ+0kA_`rpG)pwodFIGdlHn@tjb=Ch`PAREnZ|2d46Nf77>iiAXn?@_Vac9 ziv6-MRfiO3Yo{IqfWCi#3K+^D1Ut_z2zYk5vLSEUViAm_=r|y`Wg?dPLF%j8^8%9R z?#pJXdPWH69Jeg!h}!}(Dz}bh71V!l?I{Xd=*sJQFg*4fq0niC0^YQCD{odm#<~<= zZ%v|LPobcXj1NKtOQ!zzZ}jw}BKP=Y6rw_RqSW5XlCZBW}0;z6AjVmMxht4gkE% z8QA_$F83pHx{Q~EJ#;MSY0^F!&MmVYd!dZi1*Tg>a804}6z~o!mM|V4V?vzUt>VhD z$n$od_^Y&#HOgQat|JupH+nxJl{78Why9pdE}MI4+5rWpU-m6)P2cE$&l^k7DdBCs z&?4f;Wsdh=2cW(~k7 z!)2{vbnM9=mfcO(S6@m>{@5+M#Tq)bhre#I?rgH|R98I+h{t_+7e2^=Y;4(qZa#iF zttEDWg9A7$^NUf;CyiQKUMM*pPyg@7%ekhdzjwmy=Qa*}k{-~1O5(B)B%@o>n zGIC_>V!#U-uWa6H%Q(0wPSu%lHC*Qlmy}>QMR<4E2-IlmGfNxod&bJHe5DmEI7sW5 zHhGTy!&42o|N1p-;&KLp zl6_rM24y_W<;&8&pY;~y@M(>a zH84gJ{M4&=*JUgKJZo&q%dhrqp!L`{6>}h38qy3zB)QTW>IIx?P4*~@-zB1ve&U`AR*>y7$PwrPIsgmn`L!dL0tH4Gt5NT#|4Yw$%AKN> zOJ+7bTWPXfw`Wgv;LlurMK@CFt!I6+^}zYL+b;3LfAE(UvJjkfWrioK#&$b$M)=v? zu}>mVJ{mqCk2a-$0t=ly##vxi2_jt8d4DarZ!pB$R-!t;jKP3Z< ztmS^(g;eDg=iIZDRv#2%ZdSP&(+J@Im}xyxf~qfQj!gYY8(wCb&G_;2wc^i_aqMOZ z38rM-E3CjcL}gkp609ubwUPbkv04x5g*#~PdA0b{GT$oCI^}%c-(l+)53(@F$z5`< z9Ue|?8hK198T9hN;8y{6*kI9zHazx)B=pM;eZ%u&uZ) z+iI21wJl+)h6>elHKL!EBBikG?drZ^3i=H+SEI5&fu%@>#FhI`JaEN z_BSyF%ubO|b`^2W71Fv_!VLv$tYF4+plW4D_^hYZ!p9)O&>*Hcd3m|E^?aT=QCf5$ zVMUBpU}!tfKZW$(lMN(geP}FlYHB(Sg(DkWq?QV+D+nd@}+{|7V3@My1+Y4wWcn{`N z*aOg+d9W4TL1Ky{R;&(J3-CnW)J6jsl2uRdIcn?vAHLo?tg5a1A4L&RKsu!aq@=q+ z=|;M{ySqfXrKJS~q`OO`Tco?YyEk|4^M3E|J>Pqud;d6|=h>UJ*IIMUHRhOOd?NiE z1(XMk>?t3+T|rSEP_A0eM|eTv_b-a*O%G>VWpA&!we`k=(`X*>LrWg)PM}dzuQ5kQ z!l8p%Y1%I%$3k?NHAx1(1JJ!^1TJIG>Q@YeoMRvUO%!?34k|25iFAn>aaA|`uya^u47kexRy^h%=UEi#i|UW330!^ZMIGK`b!oX=~Z^&RybmL+u<9Evrcj^W54t! z^wNzQc+WNl_t?`%t9pDGx;cMj^vVU1KOhQpw|H# zHUDk2q^0ww>O3Oh5y5k7Z4BF(tB8M{N&VYenW4-56!>&2YRF#1r`LeRS2gEgBv5Mnn&E@Kp z<8kGl2_X(u6*<1`?~qgl51OU#hbDL9126xaigKHZ2eatbUpf(rE{GHU*|)XS$=tJJIz1i=?jPaS*k&Fn8H)nHE`_s39bI#i0nz8hQ3m|KW>=GG9%D83^$TAmmjsm8MZ z>iB~EaNWInSMbJAx5zp-Ma`YgRmC(Og$v|SLdcFb3WA=ZG2{BO_itp!UsC1bVG((< z7ueC?r_b-0#u>qz7`^wXJ{7DHOQWtv28G=9%Kb&qLPT~fH6Rh24DD<d zZ~!nIc~m>U!BoMV*!@2JRji~B|4~grcx0kB?-2)3TSA@89&U*8Ak=W@gX=Lo8@|Pl z5=FL#+cIRpb6~f6)VoJ<8_oH{R?*%WG9T`4J(9?$_b4!^)&6dDXJr9Bgmp?Ixbx5T z^`A#lG$eF65eGavJf(NK0FutlpW_UYp7Z%-NS&7ASy6Er)B|aCO3Nzp)IC_`i}JH%A7gTn}uLy0W}K8(S0M!Zh_b`qKsS zwkYhkThGsE-Y%;P(V=&gXgZ{BG%?)C%T}aZYYJ=!)G^xc(5I_&Br7@zM!8+B%qOUU?lv_pZ~-ZE8cq?7TfbAE%^Re!^HrhQ6!gT15SEqCDhN96EVF&dO( z5fg~A-B>upog&+8ahgZoA^R#siFMBzNSx?0$baLxcv{~rsBPsJAT_W{rbT!YVqX$k7;9UY%BIAAO;w0$MYM%bOROiBuWR7>sQP{I^|LQlzun!6gtHb$;Y{9KC&Rt&~d>_vjF%o(CPBsVK zbBP{_flY05odiORoyG#aLStt{t=+o3LmTMWFWuGnC;`MNiq(Ub##kFE5)fayIj~*W zz0AjEIeOQHh8rq=^LU5rSrdYR?%NE}*b}1H2$c$bOdhADrIPvf3rduXqmcf_YKBtb zGdche9H+S?kD<$tM{YXht$RhqRoMA>B0NSPAzDu#=OAhXNlqeTZ0|2vI=!jCo|OXt zQ$GJxKS31j->Y`b_H>$&Sm&+)(B5a+v|?jZz2`6~5dr4j&H7|rTEoTQZzfy99YzL_ z#oh(tS-cOB|!2JAqbdSd4fw^l<)j_x!Ruq0K(1!5&A!>Hmd?$`SR z-&F*o-RjYU)3LoR%WEI$uHj0}i9OgvV#<_xTmkymf^WXgEZ(L?nla#!c70Enh-+?@ zmoR@7*Sw1>bRpN15s22hd)OurrX3+_3q3Uuo~b7Kf@i2r$$K7AaBeViS@TDRqUz4*d|#x4yOD7{x0R6*kz`qTaH4rXJmq;E}n6^0YPL*(?Llr(i0C zH{Fa{@2sl@zd_IUwi6u)Gp8v^3!EbsoCWz=4M04ClxULpQ-fw0!Q%|v88#Q^MnrtW z-%BAqe5>xV_0M`WxXVu~oc(F8?e6XlS&S?=E^Oqz*!-YZ%{D$!y0Y&}*8mD6g|L#D z*b?O`f?zbE3+(!_4vo&}-xd{@J83(FBlcSTYUR~VmknU;at16Y!&$>pxHM{l{NY|U!`TPB3+$jBpVLFUg$Qx1~)*REI5aHXEI%2vunEV zH|V12D;u7iH1DdNDIW3yA`7?aWS>JG0&BfJhDp+wvgxS0#M1%|!L@$+r*)-eNS)y}j zcAWXCr~orH)6wc#y=-G3s#e>tALF^yh^rzA0cTX7Z0UC%VT3|;6Sa_TZa0wB=Po2; z915hY#)wI%fOH8>YNTk`Gx5yoD|s-UVVfaLV=CQ(b*++4UA^k!aNEj00etZ?ggA|~ z1?8$Bd({U!yan&`VQs(1%NNg|l{Ks(X8K%d95t**TZd4=SF%VyTc*qET@6x_$XR8c zsVu|NQ!fIaXSq%zVW#OV>>VI2; zH*?_0>gw|fH-;y3ZALYuYmCEGXOWJ4_x&(`|*2#~1 zb!l(|q6n;xL$z?t`f>&iLdY4bDcMj8vCWJ|wFP)~_ROQhP-wuFC z@GKfE!E(HZY=BoL=HkNcw%`x~Sm2*OVHO>NWyU~wJGtbnbVNubXH>Ebcsj!;UYYYU zPC|;cavVc&E%nIKW!m+c&;t6Y4zrv=+pl8b9{n;Kx}XQ*QFFj?xPi}38vS1H^Kd{3 z)Lmr{4t~%T$Ys@2*UmdYpYB`G&#q6nQi1O7<9f|t6??Jv3{tnroJwAmn1)8y8=nYh z55^33kLS@R{i)@`)o@>w7NJvkh4U_vWewLVxyOxZ~x&z zLm!)o=^KcaQeCpSSmSeC(-t9kG^)=AU=Wx^6#3msS2l>&AgeV4#JsK#2|&`qVmzN2 zlwDLyHM_sSA>B-t`*wqlbq5g5`SlTjC;>G7(USgPh{VO#JjNPh$x53tk&Ti3Bh?TP z5iG_xEX?*6b<9vg!csD)-+T@tK~^bvXi-(z}3-_d#fe_RQ4qJ#)Q34zsp0Q#;H7J11mmL|N^weZTt5bdA{)3?iE0 zcl*8cA$xiGdBILrqL{IaM&MS#KQtsQh{N8^j$ds#@XxrI0FC5iyP@8aYGW|OT^|y` zpg4{4bDA`FuC9QEcEp}d$l2|)7mH|qCP6mu1xhp>&-3Dr)S#atS#j3T636=>fD++9 z(AvTFiD?Uqeiio}UHHqQ{`Su`a)%v�i%Xm2s8*r)};3>jx(@tsSLDPYaaemDYIc z#IzTw5i0Yt5@1BqS7|VW#U}d-u?tp`Ucr$e(ebbXrqWU_AiN$Jm;uzu2(5pz(?T*#S*8TUNbL2%>S8XVW9oV6#xIU?$M{;O#v zOPYRH_Z-v%YS>~4d~87RV?&G-eXw4Wm2s2r%&7*Lh!rhtGyAc=a~cj@Xs?tdXF~C} zET-+s$rs_uU7H4ExoCRsRFbIsXWcB{-gSLdHKf_PJDom@%DLsbKq2(xJx7XJxjTJ| z!HDn{d>Lyax<$r7a_J*S!yCqzi%>lB`(vgCIA4s(W_4fcbERig3BF1Gp99d9PIfp0yFBK$HoSi$Uv2vu=L_b>8E zOMnO7FveF0kLYDnTtZwiR9zSdE&R_vS7A_9YeT_)fUNoNr$FXn8G6v?tj7a0_0oB1 zE3sS!Anm3KBs5_<^qJCtOndOleg)94{Xf4Hh;~l}CQ}HBFBcFW+`sbxi?Q`wO<}JU zAT0}8K%prA_er4#Rq8piXfzu4$61HG4MfwCru_%H{I9<_NF%K@%NyT4s5}D!>`F~7 zTG0_ah<}~2O8_6EUrOT=BzUM$KZbvO6*wa(Oa{e5KSGt<|NTu@TP)Bc7dptzprx%Q z4EkiOW=(+!gX)B-{#cFZEtBe>kLrr3KxD zfB&wb-iCD*3r++xkS3cd(HP&i((~BF27qU!D|*eEP$Y(i&j2XF3_2Rb9vkRDEusei zbdjy)g%&^)|KX-raI0oq&In-FpwJ3H00xO>zrZ8NU-JP2Hf+2*$A0i-|c&mqp#;Gp$nwj#o&o$ zr0ZzBvfoTpgUYM{hU5K)duqM|RGf4tJA}pK%oqlA*kGs`7>=&y*4Ea_+RB@Or>aAv zw$2mq5WJG~hB8qFw~G_}vB|1|aNWOtyixdnGzP)Ebi<+#5ucUkzf{%*&U**0yavn^wst4M20&b)2H|Mo64n6EtXRXbn^ZTO$Q%=k<5iO{P zmtH}5;r~CE=U9hK_Ze*50HfwO-blw|GqD9+QOo6&7F6>(E)GNg9&u17K2cUymS0ut zNS`HzDMiKyBN;8n?-2BaT@E!;s+|M^`)C|}{$GRq&o~6m@InR60LAj^9uJH#81b{U z2*xVoehjflys=Whu2A%ZgoKkht8!+r9fA2zcV!be6D}N&;tFk4WXuj6^!%@xDYWr3 zT~75mnBPfs8ovQv3$((kfezZlUJaoeD;vyt`mK!p;LYegcJJQ&ms z^v$q*|G%Zd_4q)oCt>Az?0bb6uDs(ziZ6q6^QD@c-u>N4D4Eo&Wjz zZf0Wax4jlIHV0=X(Jd(ahNi0#nfH<)RTtI5hl~xqb9;pn5GGVjJ`ds>eCXT<-VTw3 z#M0WIh%$r4zj9bV**cl=vXKUtlxEmWAUt}{jtw!T0p0eP1p*}Imy>YbFEAAZEQ%=# zDN-`k{8j9}FKqR@nhPOIfbm>ta-r=d_M)4wvjOd?3jL1fAb>!fo>%R^2|n)1w-T@W zBM`%^gpx<^OhNj{W1y0|F!qZs)98pn4F^?&C!VcCnfz(p5xDF2eQ!UM6~A(CbeSw} z8LP-H9{#a+dw4MZttg@YL(B}lq#`1z$T7#A*3DA0d^P>bp(SlC*Xh@<%w{}L0<6;NVQW1|x zcA|V&gqIHLYZxXf)xKL21YRY@pxK?&1*yPZADY1GUv?qTnJ z2@GyjO6M#&>W{w+)B2=sa>F2GtnU?93AlA-dr3cEguYwXzJxg4nLY+5_y`?TR3n!_S6{NkX!URMt(P?S9IiDhF`_KMZ8Jbvwr@07&-YsuV_1)$ zl>k)WH`G6$d1t$vU`c-dX(yTF55`fSKKL|RJupVI4tO1*)T~FnfF7J9=uZBOc)o(q z=1GsUMPBDmGEhqIdktox3}yT~j4P0*H3@HgA{?5{kREw_<&{G-A<0BM3O)1EQB*5>VdUE`eKeUa zi@D*z?_2g%V}aTMK{rj{eP>Xw_zYH-`h7D|g`IB zX{}U0s=()>H~yqmqoJi06_mDgn7Y>$8jqVr5e;o!W6}IWTWH6L{dU=U)cS)EGKQz9 zL0kcw&C`KUV+^+8Pbd5#nahNN!>lAV|9Slpa8WM{IwBP&^9~v78(Hw8&~n<{kyTAM z)IfT_M$>DXU{!&p2bJGjhFsOt=`sg?|8D|eYdbPE zrRw2BGIiAjN1NW6{JkI@#bY4rGX&HeymNeexXNa+#!Lxh| zekYuT6-~`^TUaRDv7K$5_Ts+aaS9>hiJJ1p5W6z0>vZebU@lTT99A5EvUY^}I0WZ= zS4TOC6Lp!aqwY(|q$=|-6Eg>-rEqJg*1CY

!u_XVM(GGc77 z!2Gj=7=5Ntpc0xB!LSDY8*t?!Lr|IFQ=Z|IaZSbu6=&YNn7I^_Dpm9pJ_r&}*C?cx zB7q}^Cl4w&?UKeKSi|h?vT?Ufl_?0~j+%|bvW>&TcxLGS z?k@t0I?Ff}C@D4q(exbBN(jxX&O!o4-=f82!*B$|N~KYO6@l4UWoAK}&lQF0b=rc9 z-2q3ciPsBKc>Lz2p@bI4BmN!dFQ?R!fbvM*c~HeA7U~Sbfrhej7fnI>Zz$ay?1?{3 zrt4C_uaYp$itr)xQVmB|Xq!8i7miCL<7|}0Sx~f;3-u+P`~YgFvHl9cYp%H?aPcjL zUJxGQ`$LwG5~2KwG`k&n9(S7zd$N9@GD$K0aPqyjJYxX zy#nuOftQ~TsFu3}_Mru6{$9=7ZAUP+K`UlZxFA$n8_fEb%zc-W;Zl;W;Y$Y+ij;Z4 zyyL$qpW)YjP%lD32?>D8;DU9i+H&$epv%-RI7-)bg6e@QZ(L-Y4b~%FVKw- zWAVJA!a~T`O_modKZhp!FEROaOOG0RJZr==gg0H4sf$BC8a*2;=gqDqD6{6NdfwqQRc3 z6htu&HntV0x>hiN1@GnZ(^AaRc#_kCu>Ifb3s4!Mpndf9tACNVd@O&jDQOIP+VLRI zOsO(5F;Rq)1phl2@G0ris-Aqrd;9w|@8ADEbj_ufikSuy2|3j7Fsh!5z8v!dg2D&K z0|RZLV#ubvaS5p<|9dc4xRXn~*P}S0Y4!@(&ki}V358}`i^nR2x=(%=_%6_|E(LRRlWzX-L>3dQzE4;v3alOYdwqC@AN+!}G=hDaPjPfTnSwSQ*M z^Ld_@8zc1RmDI%XaLpYeDW%tkhnlb-=e~S=K89x-k>Xv99inlBFLE>h=vpX1s}PEB z1^79^`Rq`-)1c0hb9RTzs$`3ot}yz_F4_Vf37a(?E za#sCl%FUqSC|QZE9SozWfAXQLZ@lR=C}0{<3GLSJa|{G(nNorzYI+XM;W9h-&Jlq6` zwv1Qg72CL;G97*MA?(b^JbW!xS1oG0$wK_-3gVYmpFx}T z#Hq)|;nsTG)xX~83t7eDv3?|JKzsb~Pww!Lw7QHILg~Q|h(;;w=1CL7^aurb{1`Bnh$}X+z z?3EYvuGPxHSPAH{SvZ0C{X8-smC^<|V0~V0lynjwFtZCh+{cHsy3nI~Lx}0KC#IkB zqvaTU@4CxGHlwdwA7(Wn4F|BlE8PXf8AP7?W`VQ|5-!6=4}slA^{Bu)phk3=?h9D0 z{D_wW`jljty5+MUsL`couR}(YnAzK9OdG;{DL@pJnT`D+W9isQ!&1((v+X~+4D_tg zBThalv6JiE;zvt`c5FvnQEHNRB>2RX=!~3p_OSk?-cCgeP!Kjl@RM>Xm9=~mQ+od` zEq}Dvq|TU&g;YeG@3+=vn$nfeA7xoHzBuUm9RO0e>UoiF9sc%RC5BX{i09IyDse6l zl)9SQ0`KMOEbkss1OV068c>c{hz9{jnz0q@v)55$fq2$`UTu@_R_5p9_|a>qVij7E zGsBbvXI|y~uTQ!es^!{jBbFm5YuQEp;`wPsgAc%3X3?*!OCz#;0@vxz`^BACc!pnW z&#ln##Ko#r79VO0mY1KG5e>K#GaJ(UpPsEm1vZsh;|OgeHK~$htWsxWQ_H2jYMvDd zGc(he)+ZaF^t(I$90gJ3F+vB1ePg|ET8Li!R`B*eQ8Q8$8#rr5J-Ih(mKVDtTZJGi zykriwIXuZfjG)APv0jL~J5g6qW?QqiCvEXM_{1}yrVj38hJItVl&hpFChtF~)Mq(2*GA8n9u6dZtsXKu&B$u_N`DVU2 zZe?A5m{37f#Ar&!Rjmgl5+XX}Te z%Du=)$IZ%G*30jkcxun&0+87d$CAMr7p~9dACBW+>li7r_9~xLSK~Mn#P1z0IHee4 z_=8HAGWTD#7i>j5)}F!xZQ)qOl*^3=WU97>>swTMxwS@KwK&O>Lzl~Zal7P$)Wh@D z-5-UFl|}?kDdQy}chl{Tzh6-?f${_j*9r_&cc0knfEoX0^jXxQ?~&Ink*;1XD^R&x zy|eVa>MEY7tGV`!%zfXZFMFQn)BP-jX(44=d<-#G6IdK1CZ^6P#VDPKWtQrg3`eZ1o^aGp5r9Mk3P53$7}NoMsvWid}{m|pl_@$ zR3fZ>RY?@ONa?vkfj*sfEQn4x96<+>c>XO(Z_2C^F?M7mF;N3W1ljXVzwHxFPWwdN zjl2CA!s6VNGG|WRZ@1o&o}YV7bHxY5#DaVC%9#wSlKdY5l&1%(e*|{eBS183w)8lPb7>_(Np7{Wmv|ij1P2uZ zb2uUT-!^Pn_~_eUln)?yuGJ|iTT+=^dvtTT24KJJK}l;H0M=i=p)ll`#u`UKRPtH5 zN-y54A{l79F$!SxX#`$JDVNQ-Ne)B)MjqCXdS-R!9W2l>mq}#xnSDbl;+giwGt+F6 zUcmNoe_z}FKqh~Lo+2SK-mGS2B8{eMz8Vb>*ZdA`^_dDSoR8wrXxy4^f-Ts_kp@o0 zgs8*6^crVR>~)ol_Gc52!k0vU3KU^^baGenqQZP1(d=91=zcR(nz{1`pm;JxOX zrQXyPt-H_wMRw0hqw)bFP?x=nkegJ{*fG_Sb&6?I6Vx585JF8R5#&UQ1vX#G*m-gn zoON!FPe{jS6E0>>9~>+OreBgeig(y%T4BRkCmqq|>rh4<_)&?#bJ2+@i%Rl_2~0L> zF@#ByiU{J@rM1$!QH@$sj9PY+ASv_H>4|h|2sem1XX)3!iA0ppr z0`)l$_$cb1#>>DJ-LFEiIER|@shhokST0N)9wn$R*swmHB-0TuM2>K&)W=bU*-h7- z5F75Oq>BRF%KK5<)e)qa{W_RFOBS$Dw0$fzyQVM+!lQPqLbfK0{m`DqPXKl%r|#Y{ z(V!x0ce=0llo}%l`F3~b38i7lac?G+`O1zrY$j>BpL8Ic{->ySf83r0!rS3-IkRzK zr$ee1Fcv1;aYl44PB~NL#D=r=eK^d08JJsxAjCxvV6Ehvj!Ik`?mi#AA!w)W&qEev zK4ubSFd%Fxf`(jkS}ViV4%0t-DX5l4mEu8~#5=KK&JQ0m6Z4bgcmfpIWIJtHl{BVW zH)K5gBa}?#4Iv3*H8-$$mpluuNTMjbID>zvi7;cR%rD`0c94yjcIg^wGME|YtCUMDsMyFTxDS?P`uGA!~jnp&7N&SfWnnxM z#RzA@irV(|8|UR)XoE`aHUi+tcMl%;Kc17f!S>P1nex^ z^=UtCnPRv5M>Ug_kSxfFJ4Ddynuu5>QNaGetKeF){A*wl*;{HH5p>?N8Lw%T>8ky` zy)qXYE4{_Z$=WBZ`8lu7Xt+wGzh2VEDNEZB$jcW(rb2H`So-fhh>3^!osNCX;#jYj z&NEpo-36MQchDx}Maj^otj*WTLQE??b@u1VV`rML^ZgXff1ow9$z%&NW5Y~7L{$LDy5)Qdx; zy+^>u$9zuPc4rHRaF~C#DfC*Lh$quYE>p(UbZz(heYHK;z~98lh0`nz<>^M4zEKzZ zMU!#-W+(KXXDyVfY&d3n4o0%_tcVhFIaBaZr4I`u z77&eTb}+&ma@<3uN5AQ32l;cw&+BmTsjStSNAwoI4{;1uO*lT8O7|vMzD-kz4oAFL zfy;Q0LEHQ4*@ki6@^v|yR?$z}El986dcpEkc9A~Q4%gMmB9}qWkqn_i`rb+445`Je zq66@+`h%7x+qH1 zc0jdy71?RdpGQfpI7OUNtX4V(a@uYb#9%VMYryB>$wRB>9a@H*ih%>ZmvwYry0wYs z4ldW(Y=U8HJLcEaE(IN|T7owX2f@id3*9bHd3U@7hxJAu<-M0c$zQ#xDp>I8(PZz< z0!?Je{*)Sy^i;&l*paab2qAd7l?yqZrM2^j%BL?Y zWN`b;OOo1sV3&*;Q|!%wnlr{_H=H^;l)R0xuy&ovP_(ZN{Q;XWDRZB)=Dn%u!Xo^c z>2GtMoXLwPj?mjI?C!mEYaM>m2>(ObL>6g!`O+19{1z+vtew+uBX?Gs3lh3G=QBE@ zr97fi-y$X)?>&kFI**}GBk98>j5z2KwF2_JYwtt4EZfq=N+b{RQ4>1nspaW95s*AVG;|=tF@~a?rXQ@n8btI zsI1ooldVLKQtWIV9uGlX$L*D~z2TF!K7?ae=eNRqkALf5mCJ%)64RzF)RH!yjA|-4 zq8HMecC)lun7mc9kNmc)jtv}pmuH8WG&#|zp|>>Ciyl_?)9U18!D^Y}A@g-euJ=v1 z;g{7Z6vkl&LBXdwfmMg4Cu`Cu`rS!?PK>a#yZd&uDAyLMsP46vhY|U}-#S`xREs~0 z2DX>!DDb4x^?mR1xZ@rqvYX&J_v5_H+U}M{*&2B`7SxpMKPfE!9gGcAwy-@t?@l*) zHQ4rG3nxqe*xV`^I>J_eqh6WMU@)syy*2)KbY3Y)f|5Qy(I+oIAO7>h!-MPm`T6<$ z0LH5zp@zjH*C+T~39f;?%YH9h1|5|EFcWCJx__O|$A$kev6`C3jJ|*b*w*hA%Yf7- zw5X2q8;2|cuX_Kb%e}`VDVTV~excY_aa41vWu=|lsF;Z28nxY_m8HXa+8_A@?Blm$ zB_j9cHgbh<@;ZJ#ePH@MP#Z>~{S1ep^xXo&>wehUHU*sI-b3}w zl5-9DxV!hBgGuBM^*ArZ?lwH%iP(KLHo>Kqy01-9RynM&kp{g`wPp*85EP=hdD1Is z&C=j6+TwrDNa66+Wx}S3umd_PvS%d+5gjvps`6Fc_N?SfHE8BnZCMTKeJ$MXFP zNU^m9j%RD#^g7p(NgKEF5zqbD`}IrYkIim4{BOujZ9s8j*F{q*#M$+=z5Y(X zHNz!)*?Sgm9r>sFSN-yN&H1 zxmOZ*P2*~f@C0o_tpsII7Y*fe0k;vj_C@hb$V?VdS z4@qhIZoTp{ItqC4;k`K}kjJK$k?bgKJn(IveUA3>d=TtvrBg?9mpF=pr z;k+=7&rB;%{b)+E&=&!r7o6^Bw-rE7b2)#h6(zR1k$a`T%rAZ+iM&`;&d>h3B(el+ zzQSX8prdu9TwAX`YuIpu5tn$V^x98KH8`>O$=$tK_sKIONqUt3^V;v>)-kGR+SLQh zdA(+OQ&_iUdqOx5*n8G#OLjs58#Plxo@jciG5fh;zLS{v{$a_O>-O`$=L|enmd!tY z%>LM}D~`$j86R8CZ}ELftzft-W13`sb!qcvS=PAxl}RCz%nynTxj_eUnUz0<%{B9x zAY<|OOBd25@!3Y6xSLB0PBeDvuuuZ4Q);9q#P{~NZ_Y5#*EK(?xm>WUGqk0W7uR93 zJH((qPtR!WPmT;UeF>)LAtt!cgn0I6C!k0QIE{Sx^lf|N$|}0UdX7&@zIf8UWB0yt zUoI@3j9+%o%1}6>s^K~xlZS2Txb>cCgwMfls!V6h)=MtQX8qcFt;aVOl8(a4smmQO z)_Fc>L!yv0NUugTNtGe`qb+=irG`4f3*yTcq{Tmf$lMlqF25XeP_jhwKq_MQY2u^6 z)A#9plgT0#7^qT--_!jvq5F!zv5AR-qT+A<>xE9B&Cm^`81UIGvD}tCsPueqDL^l+ z*YvDt|XVyiXyPWWY zm$lg=QKJO!up$lX@cKq-4R#IX`-|XlA^L&lbitG6A4pVQi5uQ@Dx~uHh9j|5e0#lN zTHk(k2TPi&^Xz?58Z*B0#x{3i5W5PX?ed8LJ!`UDJ(xlI|&&x$EL%9h0~IG zc5n`7VSTEkbxesD$&|x}Kv9M<`93g5A*Yf{HQqn_)`vByK*EpM?z5@d=b}`c0}jl_ zSy#tun+yj2ziD?~K8uP*0SH;VAE@yvhFjYD4ZOK6?jp*?4^g%p&~|X93F*bPUvA>)C@!KXgjNhX{fxUc_ydn z+1cGsJinyv+ty*n(0=%ZE2Pq4$oi=vYQv2hD=&W*Oo@&k(}vY}VSzbpY`5kXr%KA- z{3lC#tvPZg--GO+u*_w(!tO3Jv96#4B!c2b)iJ@8jNBR=Rjj3w;;UD6&ZXr!Peng1 z^ZPe*8)xMW{4tv+B@BFfIIgYC9oJFBUIu9$yPT!t&?OP=f7rAh-v(CootigiPDB|a^-Fp-dwZm? zw4!!Ovs|wa-s)95G8Gk>uce5$>5t$_hjp*1+la~WIq9LK3PgWd+n62z?d;S&(<9GS zC!Eqk`0rf3{fPyH9~N^oIZA%6Mn<6gc-ucGjZ=*tF)MNUR;Rbul--~@l}9J5qMbDj z84DK={_xn|i>>jo<^GV&)c1zGT-S{f$#?cw=k-WVQOm2(V@BZ(2Xo~3nn?k(*1s&- z4Qf-VX-0DLt5Qfz8O<&>SdKg_T(x{?2OLhOl~9c*{tzNo->Q6SBmrqY)2E%&R)FVCR_>IYW4+Nvv(yv^&Ih!wU^JsHlRkPaoRCS5! zF~8BA{(WT4f8Z}wKCbw6`@lKMZme-HoKn~Oj=@*u~1y?^SIUbxu*|;Y~Qi9{XAXPc9Ud>V#>teJLS_Bk1=BLJqcK z$uZ!@)tei>_&x37PtjRsthx97d=5EV;f_pI56(^_`c^c^xwP$5cPnrlSY2R$5{voH zj_LF3I}7~+*|gxIA|eR?|M+*)*DnYGngwuA2QBBdyvEyqhY{Q!Tv`ycp)zU`4 z3ohMh`#cMs&1%MM&s^Yfg%jd6iZG#ED?rG>>F%-K$lY>!P#^dl9fm9xkEH#QR{p^X zr&fiY#*UdwE#i8D$kVhvQ+p)5(H}ux`yKc<&{&Q2~y$ zQ9;enULuJmJCocHX~?Cg*4m5jRUO@WBp%7JUddG(^^Op)?fVJa76v3{b>dK4)Em*1pqulIy6_TiIhnB*@Ny$wqA!b;eJxFIbeTe|NBd04dcCTN%8JA$cRx}jJVaB5c%U!J~X6em>_jk1$b z?J=oI+tEoAQ|>V_-u%91ds=P$QS^7!bXJzMw9;A+!RPYr@}7(p&7z`{4XS<>>_NzhgJc#d!s;uTm$IK(AO?}5zvp8oz%?}wJ z56QYmo;Bf2sc=%zVFDz7*(||Iy^6}KLEW1T+&6qW``@r5dTwrlxC0+nQB1}pBBvp& z5ud&rX{a@(JSmV17kw0bT{0u^Oz&H;CvLVrR)B)ITxI}VadCWG zTh&s~Se3_N@LZ9pSR})*^)t*UN)plu^=*ThpI?ZhbV4)pt1OI7IAh3RX}dXUWMOH^ zX%R|5tocGS-Yc1jOBk#Z4zZUuQX1=y2WXH$~X^^j#F-O zMh~jV)m|6s!ynD%-?8R@9Z9>QY4qkl51X!~Hp{;&r;eB43SateG{(5^z7u`@@~uB5FZG3VX#`FX74YB6$v6SyQ+< z_AD{noDo6;jYM(}dCkhS6@!)u-m!X}vkkLD2+$pz+w1w!dj|LWCLj$n61X7G4d6WY zpE`C(8rp=f#DhKAHGyKwqKe^=h>#OpcUFmGMvd9a+A>75VhgFqt{!B4<4Xew!{ z3bPZ??Xnsj>R3no&bf2*xEb;Z>qn%q2v5s5 z>ZEm|Dn^G8T6mQDdGXCAO5(bYbmS>8UZLuN8o>}aJR$Pxc78@Jf z=9UtCE>^m2nDHj({3Vm7Ih7-e9zIT*V*sqw%K$8l)zbR|7F?-*Xy7^`^$FIDn^+HDML> zZB56`x`|7oB;mr(+c-}T8h+oac@J+=d{KMd(^v)NdQ#zsuL{UoWwaU`k~e5$SnV)aucLnF0R zF-p1ma~0XRT{i%uxhw&oyG7#Lu3h|ed@lCw%6(q zi1Ia8Z=dFmvnZ*SKZ>cY!DslO&fq5(TzW42+1bo`%Iy9kTB_7zS*sbnWJlM3Ms7w} z#d|!QF74|8kFQbJ#fV{uW^Q@nco@X0QQZRnd6wj%=OUMi(&sUj>cHP4!Z>f(cCCP$ zmdi0qCvLjF^Ge^`*EFVwKJat8HZSVZ6$*6qjJ4n2F>#B?Dj>NDJZ{&X;y^4mm%yP) z=jL8z#)6CHa&?O&AQ-R8P(`f5;EX=x&&Mj3eA5#+ll0;35UL*ic5JhtxmMNNH&LhE z2<;A|F6FECsWflmZkihAkMiiWJ}ueKpPI>&x)q~%r?}Gg9tm=+GDpG_VTxg2|KbIn z9+1JwgY_kXCH*M^LCmnOKjv6+P5STs?(eN^!Up7*+QZ?HXdA8}G5;5DZygjz^mU7p zkU$9T4ncwhcZUQgxH|-Q2=0&scMEP|aDuxJ!3HOT4ekzuyS~n^?!Djp?tSmSSFZ}X zrh2A&&UBx1_TFpny_U88S*^9|`w(4>+9bEJ3|{9~jWO4PsDXwM#HMyd^$z53I^1J? zxy;**Ova$rcI+V4@tRb!MD9-YDq)=8T;BB64ufn%@0jSF_4`C8J^F3A;3qXw&vb*I zq3=gyM2!MHl)7tm#{cR6TNM1Y+&l^T6KQyb-i_r@|uQx zNc_(m<59gX__F}HmF0cr1K^(CJmz9-UjZDaj`t&0U_fflJthb3cSPox2w8{H!VwQd zkz7W%C~11QtmXD;l94s}pn@pNKv8tr>qwtEVKn<=8B@lo_sbD}6ScO@e5K;GaTs}o zbd^JsrG=^-Z(s-f)eLLNW|1qVyw1witc`3Hn2-vICXT7=ff7c??E5$;(43*4M0&G&mah zoec*Al^I&Ap2*F6%jyH8PR6;PWj0-gfbC$JNerQa#!9K}1Yt;e+mk=G$98iwh>qRc z{vP85hzjqY-OzL~YDI@O~PK5VPgyVo-Erxm@w(-jgJPAKBOaQ(Q2qeW#3^*sdm}(uAU>I z(CTm#t_Eobn9m>gpFYG`RX4Uq5IB9y{(M%w@6P;af!MSZDCixc6#8?!e!)pr7X!F3 zQj9yrhZ!Cfl`J`yD zy<7OR$??A3?OeBVV$}hMcgx-_5-QG6n85l(+D-p z#!S{ox~fB)YQk_j6zRwJH-a50Ul}6pHo}J_Q&`Jach#@gj%3D)DqBM`$_PS#S|+7i zHH38zX|Q%5kvvgORW|_T4vi|Hoafi zRd_$7-dh@d1kBqd4=b<^64K2IzlOUtQw#uxf8NICLd_7`o9`Le6&W)*7?Y{dPwB)@ zBBh!bix3sM{*%C5RWE+p(N|7&$M~I;L>(hZ#%Qz1kPmGD)t#E(hEKT=C#RaUdL%rr zjDtH;X{KC3eR@mr;Q{{E$mc;mgG3m>rZ5C7sf!K05Of82XXtcOMY$G2wTdldRgolk zW4}GD55HgZxQs$EcH-Xu>%dXVL_ev7p`tbWG(S?3GiX?R%J}&B|5p${h!}r6BCT8*$$&}XN&RWAskG%LsjaIp2pE+o zLeryzb3_Byq&?6dp(|k$;;BPZMJtwslisNt?od{0Z@M(3m(%V$k9W zCozTgW;45<@y3QiKaBWo3Dt5|2;cW(I-u{*>GE>xh0suA_dA-ID>+vttsBsr4ZZcb z@CWE>1Dh`W<6-2hjhS)9HANvnCO)}LGs8Ird|_GpKEMn`#^=1G+Ng+ z#9a;YEbWEoi7imN^S<#F2N)mkp5UvK*@ z>3k!(h#9qI9mk%ic=*xps&kh|${Z7Tq~5Pf(c4r3rk0~0#icq;Ev}yeRHY}}v#%GO zXbJS~3|Ux*R(m(}ioc$WpeR7$F50`!dus0j~3zx2`Y~N>efXgUjXwam*XpW`I`5QK^&|tO97T0 zPwH*&(U+fAJb%Uv9Q-x;n6JuzuZ*0OZngo7iBJTx1#yIw3YLJVLO2%4YD$ym{2@OV zH_p9%#m4sJc^B}qtz@i^6nB2DR`qkoX*kzL?LUg0;ZO)3i&kYVKTIN zr5>>BMp6m(LBhy%``2A=4*G)?*m7!ZA3JmZYnZhyYkWC7Y#i6#chn!&*H=$T#?4?QEPOf$DglxL{q^%PitS& z_?{jq*1oK7Z3gc~gNEXBjCMTQoCUL+4Oq!yr|2$ihe_Yu(){{1XiDoeupRmrNEb`e zsMZUzSo1t=UC5mJ@CDWwxGW_cwmd6M!J2jIK%qa@6+(Y*B^qybePJ(HhrfYtG!}O* z2ke7y_ot6%-G`KfPe$Pj?m0T#{Ru6EFHXAGeFqs6ON%63*vc0PqgYc_M*3`MzzXjC zkJ5pyoiCe7guOESCG$DZq(!89&aKNG`;XCa;!1ZF1-HkH`kx=~HyZsbTOVI}EZFe} z7>Dm7gwZF`pvrG8I>xOSVjABszUJ0qU-3Z>#k_33gtA(B*ta^QYu*T3+3iA}&- z*7aqo=73cyO%dtrOzl~OM$%Yz`m({)P$WV_k$n_ZuWlIaozbvHO*n*M@|Y3QCuIh6*(| zw}cpp)0L$g8yx&+70c}OzWV-PHd2dNvNXLYd3nf-sH=NLi~S~{^KRiBfK-h;PDR)r z&qb8LPhKw*h;ZrRHgoKZ%?1hTWDqt91Y0g^Tu+g^nT>TNJW^uTdR&|Z75KBWJ$uV5 ztwAk+h9mou&3EP*NwecqoD1Qk@y6Qm1S_il?}0mB+`w@~oOFSJZkMpFnH*Pz%XE^P>>Ht zLYlIpX%>d6j9Irre3$bpK`3>j0~cJ^J9(*WTX*ug`92c32&e&i!}WV+jPtJiZEykM zzGK<&sVGPrSFM`j&9k_@qNb+CI>W%g&{Mgs13BB$^$X+9Q^W+7pLzMHEvqxQs;VvU zMM#8{Su_#fPq9T0989naN}%wT>M!>Xmx^+OwF!o8CZ7D|{A606ak%^6a?DPbSMBsz zb#4b0gL`){;?;i++Gvx@1=wITW#1DaXV>#x3*Y)uG{eaQ?wwfz`M1RmTUL||e2?XH z95P8&&c9*zoG0eW0;>byWz9=vEozzXGXw`_;h)dsL2c9gdL6TTH%^-$*MMmBn^D#A znV$4(QW?EiGOA0xaB}PjNd{x1o+Q4G{s*>HP}zr#;=|tCXZ{4woSUp%uugXkA^FJ2 zb=4|pgL3U4j=*Id)KBLxBl(LfTiqMb@D01fNX8HAD^Ji;a zNQ-#-`H{OHWZZ%?jW=LyDZk1-m|c_iQ96o+JdbpsS4g9N9KAzY_O<1$%ehAa^T|3o z6IdDf<854%Dw^0h#s#oaKMrzN2T8hWas_6dDie(8V$|~njNiL31`3_!-Yij3G(ULn zf6z-xeBl({L~$P-RuvE-L@C+^Cz8n(CALbrc)$jY7TJ99d^g81*%etiU$0as4b3Y{ zEI*7Zo0)N5n2S5vi(0{%<4^XvjkI+Xg;N2_S51%7h}AwO0xFQ z@v-V1Z>c;K;Gsx4t+(h#{$B`0JrTZzmRVA??!TU4{;+c+k6}6Ey7CnkqU>_J66d&Z zJfMDUn_7Y=ULfskgVAXz1|##QWZJGk)Pr^1Up;yocs_ug=W&&_0Wi~_=YXWer@vz) zv!eih>-nc?xCH=g`S)t~UOiIfv>lKe1@7Wf1fIt!h<;7QlVJwhRkhbngb#Hq2IaIn zkflg>b|>lS{U1MZ(Rl~}zRPYK{$jvY{z&_lq7sRRK;Zl_rQgj6Y|;G*cPfR?l$+GL z?Ck5M>h;<1PSiprYSeb+rW4nboP0K+eo;)uCAzT7l6?E=K=DmSh5FQtHm~#Z*7(_E zanzev=4Cq29H7AZg>h8eb?#l_H@>Nw5%SfI=h3yz;bKpQ``dFVFTICNe186ob;LoY zpNuZSvlB(ZW(GiIl2JifW>WHLOoTiXtWi;F1_wn3TPUyGAr%{(wl(H%I44^jd1c~` zr+2epW{1$o&vfB}if=?db$ajY1Y58@-%AvcwFn^qH!(l2EM0^yZZ(aIPMwaXB6ydO zgm&@u}lAoB?9}wtq?E;{YFeMA5aO8DgrNdjP>#eqyJHY1RGA}hL*nTyTbZxq+b@0Zs$kJa#dF4#H zyLJm)URc?l064;_Re^EEbFeiYs=%}+ipS^_BtE0mTuL$Bv=be+hjS4Urp#8dR3b8S zlG#sP)0-Pj0)v!?1Y^2mjM`5?Vbc72eBqOc_mV%b&%y@WT*d9>Vwz%I7V^yVH|eDa z`}mX|%T(*XMV6H@L?+Jvk`w~_XFrg%1=!#d=->Beyca8{CWuj2OX+K$i%RzyDOko( z4gZwqXQ4R32^RYJH7chqDp05I@>vi)ZkUZGD`b~OR5^Yd3G-BkEZaz4)#iRrKj=Gq zRHt#e+cTiwIFeVa)c=L^!lOhyoTZ-IEA9DmqF@UZY&iCMQW;54MxtrTmtm>&0DS}K ztZa;v&NtZ%=A^h^!3&_WZw})-1edx2S0JkhAL1 zZpT3+TkC@Lm(-oVE{RRaal97i!jsG$B|gE7o=K)C0G~QRQDEq(N_S2jJK}qZgZcZr zncRrHfvq;uX=R{1iu{h%JvjsJ9=q zo@jauw9LW%y%asoIthLYCA1wPO}`w%^t)NV_F8%oIqbr}Gqe{?!WaA_#*W>N`|X&$ z&{NDLP;8iPmMU3@U2dEh?n0z4BI}n{HI9@2v@&S7X?cjcZEH&Q(J$zw@>CFYN_bxhgPxTO@@ThQtGXK zOna8|(F=2Y!D;~(JoKd3TOqrQEmFjCl;NIBRx)U~f9z%sxIlqsiTHZ&*&!tZ-V*0k;pZ zxoY9O4H+15Wxs6htrK(bi5(hfaGeT4elIf4K}fC;AcrBd!Fl`Q&hsyEAMp4kw??{dL>I$>NTcYk}5DGAD1;?6c%H54d4yUCyhy82cpHqFBp~U;yiP* zdxk>re@)UIz6zWrR{y#^uX{I1LZ-`G8Mu#$hp8+Ik^us=eJ_z0+X1coCUdUOPvLhT z2(`jOxT-`#P0YgTnP8-Dizg#}4h}>i7T#GW#XW*#JMrrDb>|d42w%5_TJ~Dx*&P~U zolSIE1KW4F&q9Y1T|px0GLBeZVZN$({HNn#=WVW-t2^U_c?{K%PiCbboJ^03qgpnm zhZ&7^duokm)O0d>SbZ_*nO43}o4|qY|K!o&msBcv%u00%#7s!|JdMug7Uh{VOaPUI zV2!tVp~=QLXDw&4EfWa}G7Zrv(v#moO|O~rVkN>fX@=MCFsbeZ{H-3zVsvIL?(4!i zNgC&|jx`;>BLrN`*^qKS`p)nu$j+j;qbi*q{OXeQy#D5mSCBO~N!A?ig>*Wv6q-@P z0cp6j**73r1({smfjFhO9*4oIElmV8?e>X8YJO7Xztv^8B8C{dyxF)Sj}htlY?-rI z_ZF(H#afB5n&w*kb@kXoq8PRgAjDe{RcT_L?*opv-^;!I?Ao$EeerFbbwsp6H-5fD67lYGl$%^Gya z%o_Vsth5bdBfyR8OLrUKzmO(3?s(*ai8{ZafutsCQiKyOIm!cgNQ$wSYMA7D^$RtRS+~Mi&bEHU0A^-I|m06kL2AFxklp?xiFQE&YWyd%KpF5*E-n*AGBeh zvWm&D9Xw05j>=da+E|b(umnAJgFhgN%4uPI;W;>%t8ULoZ|eLrFSW&A2Pg9!q#|?M zH#hRTaeeZb*$56&^;ikyMyBXM_NC;_>A)miDKzsHezDKTeKsPty!me)P20>p&x-KF z%ZSm)HUADDD}+B$bvjpkc1NxS)?_WsebgVb$$`%m(d7z^o=I`@XGl41=PVe4Hk@{Z z$>-2I;|<3%PWwZZv5r%(6gGw(ST4+Dyt>xJp9Yv9uiyP~cfK#y!3?AR$yT);L2A6! zInH2x$+jZW$6O0;uAGF>4m2_<~#F50nI%W<` z@mqMSX%&#h6PKyvgP|hLC#2_$fh+}*)**f2T|RwqaC^06?0ue~Y*XgWVXpDQ%FvfP-;+|> z#0J8X2QX6F&P><&tRdxez*%^itEg#Uf1Cq_qYsY6vWJzu!WY*S%6V~}M9)wnL7!gC zuvBeEgULtt0Qk=hLU0O(|B@xGW3W6B7h@E_287Un9I7Hs8zoBbk_tID2M1 z;{x-JYj`}gy*L?xJJlSf@{oB$^Zf4a#u3QexAAJvo2op$)h)QR$({MW$8>zzSYt45 zze7abE?+(JtTY{Xv*-T-sZ-HT^K-50MNviZ_vD1+QmD#wucpjm52H5OpF{1=4Tv&9 zeR74N#@J}_L)d|(QS_kc>UmSZ+Rb_K)$T15&`xrj=ZO)q?g(+c>jK4QcpwK#nDRkxz>mual>$W!YtqDH80WbM`oIl&_=Y##eOYTgzB^55t zqmRY%wQAvb48%DQbs*eoI)0jHbXZFK>?i`Ksth<2uRX`D;#q*%@^YU|fJIl62s<4X zv}$TY+r|Qa$Ul1vhGn%Xw;>5qAw{Y%^gdLjo^@G_*E`sidUBnoz;v6Mf7l&~kq4CO8!S`YrDn!DJRkrNDj7{f^E?hg?>}zH7T-?+wr-vj%f4la)59p-ofhocSptkYo+VNq+e5*^Zmc0ajo_XpS>;;GEdEC(amQOVg?NkMfQ$dcF8%2ax{@{D&$o|114q=x3 zaI^H?0~m>j`=nj{ls8VwWy3GFf#T=P%<97yp_QW2nI#A|3Y2euI5XY*fD~oe5_}~h z^>i#(qag~r(Wtct3WS2C70Erw$qAaofod1_>mCYA$6?y4D zcx4LlBD_tgBq_^4x&2WBRB(1r$G1;*g%)a->uMy_KfvbX)105a&vFUn8mR!z&GAV{ zk6){s=ET|DFzoBoPq|HghiDT0-oTYd)N`=D)M%)*$6Uux6CpxXgPD1)^=qV39o?i0 zov3YAtBc-R^2oZDnbGlF7TYG4Hun6$Yq?%QvdInNG@nc39x9=B%y#T?U&v`}6ESR$koMwR6T5u+RGNbT!GqFi4gE zE`J!JiuXEmQk(&+e_vtw4ZyzblOMa-okQMHXw5yFWoZzz9K1!`G9e&a0N!tC@Ov0Z z^}E^JX(kmp6tu7k2)r-F`?(cwST6+;l=`#IzUKNGhXS%)4;XXosL|dK80EAK6qSR& zfxFp;!O47EvFhZ&3Y9}QhRo;c1=)S^9-ad0prg@HOYWd1ymsw0Qj-79_@Ci6gc!q2>>U085EWlg;+WIgveBSh3@k-An1_M zd5BpnbU&igiS$6|jBh;jBSW`1HXaa@QYgKbxeqaPF=f&G945PtKGv!NCIb|;UT<6n zv`2X;PVeg-2_8@xbzBYBH1 zd`k@)TEhGWS^J1sLW3b`{0<6L211^a05sMZ-Mc~#SX&eLAI9Yn+2nq7^aqQ5#S#A< zD^LQ_3#a(oI>MR*(R`fFWm7&?m6TzVVnsQhk$g7(_-^vF4nS#Ma-4ndGE2xiu3&2i z-iAz^Qn}=0u{k^YJS&GX4B+=>i3V(~9`?vG*#e}UUUE5EX{3T7Goh!Fp%W6g-g;0BtVcG<6G+~c)?=Wd@J^l4GG=d%tfuu znM6l(ru;CmY?_DpzGj1)p~gD8xY9Qv11_tx?Z%6>%8__ z{%imAb*FTb;QArMORpk@W^6gv@QQ3X?+_%UL|5FrQUX>DuE;X=IXYXvbo zaAPjm>k+vqSA=Knmi2LGul;$J9^NSCy%aT7UV5yB272D7Jg*4%u!X^JQKUY;kcmaS z?r%V}S3><17(SFd4HOGYd6rc_)pFAMfG}HUZ*aOg zH|1zu;3viNe0QUl;s=f_Yq*Tg2iru%OQmXL~;iEVSCvt+}Q9hHRq=5L^1@@KUy1dbmwy;eVgcmrpGjN@rG&Np^E{HXxjP6Gl6z|CbYfvOq z3LZPDu@pTHU#YyNnFyn0x=-jYliug$<~%P-Ej3h!;42&S3SkCzA8LbX2x2(4(&Vxp zVEF(V6Ca5mft%78eTCA!j(rOxes%z_X8+VHYUqsN!?4*yXMRMVsfLEe39OWF&E|sr z=^Mwx)7T_&t2#E4`Z{A^u&gK0UD)sWPM0{&NuXA(HkrERMvI1N!xn;#2BPt`Jj39k zi^7&toe!uq&>bbk^y^Bk@{?yK*(s67*f?>;+?);sk2g6z2TSLF?UG9pcp8^sKmBHy z=GDcDa42jeSp|+`vDgwC9P;E07*aCy@dpBhW3eX`O3_>5ypL&vGRo`anMxpQ^Y7f7 z;Q&h*GYghiI`upGnNO?0>ziu@EmQ=sl>G-^>E)H+-` zpZVSqKV871e1cfJKtM{hnxB~));jM1+po`ZpNwF>v1L4dUfHRiY9*>0w;t=feRa`4 zN)v-R?83-AY>_HgN-0N-5z1(+)i=r4KHy}`+Mlqo8Vn{ItXD6JH)N=b1>^{d(W26U zKf||e;36|6RRRGi-9v932s9&8qr7~56j{{XPJZsVxr2Wz!;Epx`&@P`!`=PiY)*XH zYgGb3;)yu&qFo(D6F?^323`wt@K|kb;kd`xoZfDylrvb+bAsDk1xuBp>6e6*vVa0V zZyxQ#K$>$={Q;?G(Xc?{hrssx*_qW({$Pd+CO2DiOZ*4&@N9s#RjMi+N< z-mJfG@bEa$*8FAGxRlN5-7eEoM5+ouC@u#P z314N2<{2Wt{D%7MO;;s$LRGbVO%bCx8vH;NaPyS{F#hSSXGM5YAA)CTiy4ykz{;ID zXH-^74)@O)mzV8dfuh6fNUIV(LwN=)%hN@C1OJ=s@&|WAO38(PUcL6QZ(Q5h4JMc? zXUy%fbc8*3&=|8dgwkp>)z>58>MU%_W%D(%`)t5W4E@Pvrr6okigA&Lp$IT#z3YIc zz)#P=OuaSVQZF^~pw65_Ix4pyy610RcTc7Aoy;bWpH-bx78Z^*z!3pX^xYJ|Fc`S* zZa3nA7slzw0|t}Toj`sY4f#Mqgl*-V74vD&=7aV$*4tp+v!%C{=>hb^0eabP@WE(5 ztBK1ohyq27)C@LdHLdQPvPMPaS`Aa~dy1&K$s8Kpy6UV}bf9W!2PmP~kU1CFjecBk zfLY^J-hrcP1n)X)wW=yMc9a7SsznH5P6zP0oSn$tvi5$=@8^Bb)W%nfL#)Fnh^?+K z!@SE~5tRp-?xi7;^d%?`K|L18@41@bkl^1dBL2J`L_=0 z-HxS>5{N4u&+>ZA+nt;D_~piGP?NS5+|{kN6>7XUh3`I4;czV|KAiqJpAYabU#Jme zMuBC=1m_F;Zw#XxCxu}7LnaS5{&HPgO&#?J{>=6n<$xExId4PsyX)p7H!3ds5NG`8 z2i|)#1z_KofgP#UhY7>EMKxtDaWps}t3AM(A!{StxLRm&$XqTdwl_c#8_QT(yF6_k zG7I$mUN+r8KBP7XG^XT6}XJ|yD zd7PVdReqgQA>jK3q()VM4aRs5WTNvdq!giE|;IgMnvRCn&*b<*8;V09fUg zSHD;2MUECd115iDB1=3Lr&43Yd*j@b;OYD*ul-kJsoV4TF?!m>a$hc~ zR973q^z0X9mkTEQwk1}jQmIor;MVPh5L}=Z6OeBK7y(Pm z3MKT1QUbi531iz1!y64`sL_)ZZ6Er)2_v@|eNr0dx z;S24aiWNfsbhz~It$3~?mjPn+q|VAJovcB^z3Dx7l;Uy#pqZUYs%sk@GIy;;eSsA< zJTOF_Y@8tzz!;r1>pX@0O{uES-cF3>6F*VExnfQ)mu@t$MDMTUpbRK5gvDNS9?(EW zGALIy-}y-7nu?B$o5IQio8@xQYMVU`oxCUpU;Luu8-16BuQ6l*#X>>A(di)v0j3B> z1h$gsC`>!w>}kiN3x2_l#>unJiMdP4-M?+d;ciVHY=vqi^kx!;mF zJl`$Ata+^6=YwgOUX;g zXBXGL`Xw^-I(Kc%mqHXEYpGYieoq5~dj5F>4Qovb3-#9~3szsg4S9J@Y*wSn3-yVLVUma4NG&2iOM zdFKhGZC|C_Z|`3Zqr3N~o9%o{!daGv9)Qe@kHKMh-8=n@QF+^T(5g7iPsZLuc?{LHzfvT(gS`n{}{WJ zw6-CC&)H7SYpy{BG4hZMgA2iV5`)HPDPw?E{>Nyg;*D=fbalg``Qg%_2krxHrA}Mv zFc>aD_-!k&vC6J3e#-1IhG4O`y`bZF4(7&MeuaDDMg-0HD-XE`nV%} zChzJivRpa9I<|RSWi)5EC)5F`mi6BWEZZ5t}V7EBg=`6?F^nL(h4x_%AfB0DS1e z06jXhac6svXr4;AiuHNclVek6o1-x*yi=gu^k7(B4L6@Vg%X8j@g#$=UjtsjR#fUX2x`N>8T|;P%k!!! zje?S#d3;KA)rV!21HS`CIi9PS)31rsrVHEOROY~Lx{L$>F;|DRJ1r*GaEV&gIdZ`l zER{ZdNmhq{l#)W#xody1E&sp@lJ=~uO8#xDBN9ly(tb;>6_(sHmM(4i2`Qv!o=z;|BWOCouap{qkeoz-iUVW&xfGnZK7o_^M<6Z=2VrL}C}xyp0=M91 zeXC`vyu$48XZGwy{Auk~fvjv|@p?}6$84tvVZN7ePGdfWhGsIdKmu>8y0J2;4>nccn_QtTNP>3bL3{FVJAuFnbcDt0 zHJ<2fVcWJV!XSuKjB;)FCEY#Y;#lf5jGgz~zTYxCd%s!@L|<7Ilx&bGWqjc1AJb=Q z-K0ZfcaR%`B~lE$v!E_BxuvUJnGF)#kGWr~I52OWf+`kNMm~McF%Ge2TdHIO9S<5q zcsDmUe@)w#mX_KybyQZyK0Ng1GXXSgf(ESG3*fV}Gq|XepteDa9Nu1m&?OH+Odj7J z5FPiL*1!dii!NEelV?b4p;4?gV^&NE#(|YMup{o($W-?)dN19p6Yc7D?UpL4^yx)t zRT(9Z_aY7suBM=F-ZRN|#k+An8v$Mig6XX8Zn&ktLEyw4ZK`?srh}+m-&PIezbnLO zNLRCFn4*st>ajvc&5iKffICJAnX5v#f3!4>bbk3HgQVcDl7CDvXtu5#L9$1+e!G%y zq8D@;{LI!nL+#8asAyNK_L~D^-@MSkI7F6G?f*DnncmCR)}mGd?f+wf2h4Pe8NHi> zN#5%b^Z>aDBB8OLbD0FLc!A14qdSVEhnp(x3Ud-Ss{zQ17Wh7>qp>EW5oQDX+kX+9 zi=(LkRc$~1QK#_<(Weo;G>I z!SJti83TfG3>LY(#MT2}U+H$_so2 z(I~Amf%?xE0&Yz(1*=O<(Q9&=+=VMrgsN~7HS*o1M1`$4Oj7T}^Du#Yz)=)ucf=Pww`9I!U+$Ut zreTVcQ|P_dVtKl+NjJ1+g**xu=A8&4jdYiOJ>?g$yQYI1nox^+)-d(1AhTYOi8 zTEmi|feZ+U{nupr_lhVBDEI&0Ps*amX%)T5hYtLcfP-2qxHB-)|BvBb?!5b7V@;tz z>OQu4*N#j?bZqvnJ?toP{Fl|h&a5lay_Epg%JWBGWkmSnxAtN;{_&5rxl6H0|0hQFU&>(rUQxgQe;NG$T}9wO*H;t& z-^9)S$0aQ&RW$LN7GlcEN-?C~)S&-A&947>4h!T8ENw)JIOO6<00xwEXAlo}hzHcM z?*3m6!C2Y(|XH87M>;v3(_zIlna>;{>vs5VB5EWIz$FW$sEN zj1DQmtN!hKBh+OXmHgq4`q8$Jh-Hp=BsO31fuSZwhLS*S_y1hKvc0kTYyM-4jQx=D zA6GCHPwR{KH`unT=Vh8(mmhXP&Pdp1# z?tOLg94sM8RZUGrcPzy0|H*IkmA?Rzjg?uFfZi*@2MPw;8ULD9sWp;@0uWf*L}{lM zthM`kF0;mU4EYcqgr(Pg5=wICp;a}uZzrsU(z)~J`9jOrMwOFNhC>P7_E8GF za~|e(3eWXAn!bXU0xW0%{Z@orTXGQtCsnJ=zlNj&rS^6+5YER-oNG~FBEYUW3L|7` z`!nmd-DNdiG8-EXC*n^thJQwrj#P`-?~K8S_>8cU&tMAytNs)1sE_>>?tAo00^n@C z5slp6KTiYZe>m%I8X&sB2fE9lCrA)vk_^m)a)W%1lyr)Gj->MUj4w4K?*E8!eUd|) ze#D&Gy%UX-yD$dm3CF=RH6lC|+AY^mWuT3@2ta^ZfgK*$2ULUV5>puS*i=rgO}O{^ zwopz0zCpQRu^W4;ysz~@bRVR(h<-Xx8=@Lsu{Zhk-$Jj?LsF#%zh}c3-|P7Tj4DEA zspQXf68PN(F$u{%>pLpRopr_d@{RKSATP1sRS8nGhX`m`3kYSjxxJRZVbe+Wl_LNP z)8g`%6(m|o%zv_o)FFbpH@eWE3D1NAQYqEHd-Za|=twLiw-1uJvQM6GzEPvLU#Ij- zvyBUjh4o8&1JgSEq9Cu1)Tpq|*8-5Dp9D<|l6;Az@cxDm5}WIH-RB*?pXJTXyw`1~ zF1*MF_=^wRs>KUv009CjHE9mYUV$!xnwc7AQQ=X#GvsP z!BGB=I;A!&Q)C9>UxRW6MT0LDEptQb6z>e*>4v>os{EyM&rJpeCns;xD(b|Nq=Zd6 z9&LmN?-KuK=|`7se!Ja_eLZiAcktTUjo6<;y%lIi$H){6#V#aw>MT~I7(JO-#FKoF zL?fjgx!#V;?qK-C^clHqT~$99A zCa8ScSR-%DRP?EAvlk>*l79=r0o|L=#$ZufaNp&Xq=IP1QPE19I|2^<>X&OT?-v@>-$XjuD;tw$gcOXG3DI7fa-0ARvhjtyFY$7r(M4p zY~S>`(MFo!L{`#Huc1&i{^ClD2!Z?>3_zWJ{?M!S!{b%t7T&sf{-o2=9B%{no$&h5 z6N7G5{+)5K7y7QJ1P5hM8Nm?kB#1m;b$rTSn$u-gp#5@97@#;!{v%4H2U&>;UI#62qYS|E6?DCj&gdHpwA8T=OjS|8<`zU={n%iD(Tso^ zIr9NiKE)6zDl|=nLY4TJ#N`{= zdJ2>3NuH@xe$&OmG$l`~=`SKpp_eC!N_Z8Yj!-1U3F;COEW97KFvGAS`q@b?YPAYw zeJ9FTfGz>OByv-k^k}&mUMvu%O+C`bqIU$q*EgnW6-!j+i5FnTjHT~m0fMIm)B4{o z(h1b_8-6IfW^0u#o&?F)1{7lLN&nlm{<}vYUJ(3GC+>ec%SiR#RF3}R5lDWP{U`VQ zpV$BEkbv{w#en|v{{L^6%#(KqB;J>CBU%t%cg#S4??gZ(O3E;$IP#%s3&|n*)4xLh z+PXk(D>_KRu=YNXT<4XU)RPF26gshu*67fbkx1tcO6PO9F<{C7ZFVFVtyKObsldIc zk)xe?Y3=iv)A)PcnX-&TJm2|OSxw{ps+WO;LB%K4i(PlAQVjJsHQ692-Fg`^@P)9g zLP0XByKL)`pwDR8{jnfx-(z9Y1CVr0-lPShzL77SA+i%TCi1s$wO0 zX$>89g49iW999&c2{*;JIqvM{Rwfb$e8*=YFGNbhF7Ct~zxLc==DNI2{pdU7VExdMe zZOtQ~<3I?49skhM{|ny;12u3X@2J7OQ8Z)JzlbF;pK~j;9#IOBvC!ifD%b7Efog1{ zLzf2XA1SiwD6=bfa4W^br~Vl;LaTjkt2#g>8&ch$YeZYX7^gI zwXHCD_zSEUW@;k8xWo1q?$)C|T(95o%e(>c#ZE%vjB6z6Ml*+1CW`Nfu{swyR18Pe!l_T@6w#XqCtJ?E6@_d>QTyV{x>HvG$vewQx~cumGrs7Esz!DuVg=$f)( zy-VLPe<+%KUhk6FHeC(qIh#6Cp7{>2seB={H8GtLvN-pjZ5$`ilP%cep~7sB(iEzf zn81jBgctS8ZM`u12Kxn5Gm8407*_MG-^@R3AmqY>Jo5Y@i<0_I_jN zz4>g_r(=kWzheO}{t2CTO_0yWhE(*8ZNDwY=jCRB&~+AsiG>A}o!EE2xM^zwLfmQA zm4>U$jv5te5fKsGK->`sNJ{H=3A+fZs^Y(7Hv+)SzsO8El=sT9nRM7?xdji1oRqX& zP=Z%sdbJHk&{Cs9dpO)eXPBt9H$4jJv?`6(8Y8Ghiv83`?#fqmt3!{^onPGm;1X=25p+0vm&6 z)#kB)*Pmi-lHeX*^#no@g?5lfdhR)0JJ5wAy2Su-JN@>jcRM%@fAuvc6PeTTNuQc9 zQJxQ2YP=LE)@7rcjEmCbN(GoOBHe8qj^w)k9QVOmeah;3lDcyS&c%+TWWW*5SED~A z!!MK6C`2bCL*6v{Rdzw;&sly2k>FlmCEp7lAPA@CQPXh+n9mi8gGKZ)&ic)F14LDI zgL;QQG6ntII6bccJ2I&v@EY1HZTV(Oa=nTRZ}!^=NE#(LxWHcM9d830v3H;!{^GyH z74RW5Or1H{o>368Z92&fB{r&p+#2N>RviYkvKi(EG_9 z^K5796Y1l0j)IyU6Cih-M`L1QlFy4t$~$Gv_O&{*>u{G3Jqc%7L8PeRZm0!Q4qJ0c zA3%kMi6?K}2}Q|s#e1v2(P-!?LChcoDS>%E!i$0PpYc#-2`SQ@ zd7cc~32sz|-d?=q53?hKFK{vYWoWJuE<6~hwoKR~h}#}SwR{vPRwoU45GvGGivDdC z@@0-jvuE;+FLyMeVd83eb68*tL<^TU9EkjUh8zWU89BbL0{63kmfU-|Ej^0{Segiy zx!iDKH3PmF{IfEI(aUl+W(!uYZGK)kPJB7D9%v$de}G!Li1@D0wHIpK(0|XbsL-Rq zpRH`Xngp%N5r4a^yzwJV&5df1?_W^CbJ%g|cO0cwA|N*(fC$MLJmrR1`6m`(^pg#B z-h#>L`9*X{&5tBeFdcF$$bvnFNU#wt?=8+`#|<7XP{;eEA;a(SfSYi*6GYotW|^4rhpq9$G@YsTKyQyW@Nc%NajEaLbXLgzUrf>^G|ytFj##Q; zkK;dEHuw5k0;)gkCs{vJGDOKcr&oQxqP_1Lec8X+8XoaNvOn)dQI^t*`e+~-C>lDe z&XR(6-Agmlk-R%l7v4|1(nuGP`SaKu`YXL>pZ5?Ih=`XJmR#_Y#ldRZ%q1kgu#0c` z#a9y=jJ2{l(T76+yydUCK{!KmCxmjKDZotOQ-(f|wH4d72i<}%FfUopL_v{L2T4#x zf8Nqo&llmdNj&2l6E`mWmNtvE=?~SxEij{mNLBEN{LQjIdrF-d6kg9S{DO7sRu^S zs>jiK*}|Eosxxz*NwLa$8*?1@C=OB{>)m7T>e(+|Pfh#qXy3_41^M^v`NLIECH&1W zA9h`j0tpc(7?OFWx`TedaKrg(G7TnW0FjVsU^1Y(;<}_;pR!C%=H)8x>Ic>qzdjMW zje8eMoLRO>t3v*5JECNt&OM29Db8$biPQ~eWBY9uBY&2E9G-0DD_9t>1i1C#>Lg8I zPLqz7ff@jnIT7a>F&b%+2r?P^xf>2*)W42G)v7=ULs)t1EWF?9k)0U&gw$#yZnoBw zvikOyUB1U`F}OC0ZV7VEG4`1C^fYron1bZ36o2=g^9qD}V_cmYn@4fx8}$fL{B4zn z&t#Dd#6JcBwZD!G3m1{t{%K_;U45=_@uPFESIEDfWR+(~-q|FXFs~86?8N<8JQyEyc}o}zn$?!5zj$F zzma;S0W+wqqDqPH4%NP^*WJ09=sRg8HB8M*86JN55M3Ci(T*(!&0Rn~*n)Ql=A0!( zj7+AuijTt5)9v;MSMKT7P&8A<)i+w4uDEQC1fG(9a_Alv`$!5x94Z-YF(#LR>lFA>3haO&@*Kumlc=Tq$-lesiSO8f0{C`;*G#M)AIqi%j0`l_S z=|K1k3=MAq`AgQ`&^uro{?sEhze1D)uJ?EGffxO6}S3Gr|1*;;ab9^WtY=wMb zEc%Ota&_FVLu#}u<9RJ+TI^ccl~W&9#nh;$tvi9tYS}81(CLq0KENx_?`$LWT+||l11;~L7ieCX9= zXNgH2VI-o8p%7R+gL*c1RYV|GlQ)MSZJx7 zWIexziDS!V1$dT{Rf(|bA0YAD)w zDcHYmLyx9ERWx&7{UNVDfA<}MI1?I?rnbQaq?l-9h)t9 zK6&W2VciQt?A|GgDb)<H>KAvSq0?0r6q#-O?D*}3nQdSCc^ z=AOn+MJSM8{K|&egJ2rYvE40%59|AiW(~Sg;t5N8ECrt+ez3Cfo_;6DF*@X0u`JXkvo`#6Dv~|S_Ju+{o&(oJZ^&=`_mSg#4HXRA^0A3e|fN*{e;&RVU)#8 zbC1l|i#?JC6n!JeWsxBr0B+8lC0*g2mIUa~1w1_B_de6k#3~R2@L10{`VT!#ZZZLx zqaTX=Lwu@l#*j{9iIjkEMF3y$(Hpb2Jgk<4m!&KD(3lrK#7`EujBMOb*j&52?vg9&-GxL zmY36@H%~|uz^HKh=%#K zb7(5qVlCNQxHFoJYBD0!_&m(z4-p}L?yPJi_UV;+pfRA)_|zN8CO(}9BgQNZU;VZ- z2Zh;wwxicT>gnkU*iE!Lc#IC{IQ2K;r~R4M^0Jvk<+< zmpFO#h&4YL&Xt0CJ-%q*LM1>i-Eth~f~DwH*~qF~BsF5hyy48D=hsGpmIH zo7z+jT$V2={>cd;S)n2uZ{i)CAJ)cn*!T=J<*I{kI=n7roruu#n52M$R=<4C6mAeg z1!S(*>N5CPx!|TyasC4BB|&KU!D8Ds5!HoPm-q_=z_XS|iv9E$rc zOFyF4(ejEu7{4$5Nf4j3@PRI@?e2u|(#tj9Y7W%!#6-oeM3vVB z9=ZVJctwTcO^3*pvzv=6OeO?pD$Cr-Xe8w}v98YFDHDAH(slnPh+eZr;lUHSm&&JdK=feQ+ ztwoc-hDKj-?;CAqyeOZWuXxYdc|yo@maMNlBKc8gJ_mK=^{wYX((S{|dOF*;zXmZ&|(jplO3Ik4@cr`X9;s z`(n9vdk9=HVnTqZyc0g^!){8@*JeebZNy}0z8!L}>y zxnGb4^%247+L5B^;i5ap{|hXbn-@n!Kti7D^~g`gjr`X($)y=wl&Wq{TTS&t2LtAHnS}C%zEU(;lyc-m#FBZouKzv^EWS> z623akUsx;7`IU$LdP?AmTvCES(ibl-;C|!!{1*p5Cy07hsX3z1fQ6|^luzyMP`i<4SOx_KPwX4-fKvV)L7LRWtN~SI^z$Z z2dDm*4q3DAjdKkG(>Xlp2~+-D^P#8er9gVDo&B((5Nr&hZMW0Y?D!EJ-4HcCu{R6d z!ZUI=m@4$G%iX6I-gNqF#lX1X+-KyP68(felR2iP9<-M<0j4C}?jr5wvDkMA;W3qd zP(hHG{~SZ#f8vjq$n7?YkaCT&?d|+=&fAB+s&cP@#E%?XoyT!nV*r)m%OvzALo9Jn zPGo5Elgys-foqMo-siy>T#+nj&)k`xFgx+ycKFs}Me`5-wrxpKFUcbgx`itJ$?Joe zB>+PPz(9d`BD2rELuK<{#Gl%l5F6}g5u3%NE9r~%vUE2` z!2PtffY8qwiwmVeL?!WHf7(T*>@|9?MX-9L%e9H>H*e<;_M?Z@R6t4zxjUU-XfCyT zmenV(?GKZNi1*foX7_FPptDCzCy+*dr@^f3!tqHKzdNyAaTyr(Fg^J|tlM0@X8nnt zQ;+{Irnm`GyIaw#pD(h+JZQlQIbe$Gq>%s_zpU9U=u&}cmu;Fa76*_I+x_`c!R0b51ORh}&(*Uf)5BoAM=FVKJ z^ruiV>k``zt1^I`Kw5WnbGD?wk(HVZwyZr0081oCWlPPd5bcdYMFxxk?Xj+ zEuh>!@8yk*FIL#_&ra-2Y}0PuTv6bqpnY%maO&(+;{XKd(Va1(Y;tmU8vpesez!KY znMNBV+0al)_4+to?gmI_$~Ei0jMJy}bT`@pu=0PW{V$*KbW)f@IA-Om_xil^1VlmJ z#d%~1P5Q-ZbyADPg$I1WEdjzrk)`*RE*sEB-R>W;y?j8&R?m8`Z1#*df}SBK*4;zT z|7*^J`1Mbho%vnx!WK$ZAAz0>_wp+FppK&63@HfVT-y^_pBezO`aseAv!5(OPu3+< z2s&PZ(x!Gf*B%l%d>Tr<_b~FR@?C44CNg-QU(Wmo4Vdd!^t803O-)TB^3cg#=i9VA zT*U^{A#!?p9Y3rT_7JdCZ_vUkrIoP1pzCf_;08;o-}njHS7~L`KQ~}ShS}DLf76dB zBkq9$N+Bv7-?&=~0bdUYr8mZM;qNwuqy?FRI3{{1OjkxpN(@v-G46XtFG4$HFKMy- ze-7}Hidwbwl8y*e2AO6_rfB(FJCUPX_MG^$JUBjAp-0;9C*sb?8Ba<0e!0*JKn5g2 z-XAoRxI0{{d2*YKX|EWYols3 zjR1ZSqe+Ots=U8b_2pq>vJ*NReT4v3pXLQ>C;e zn|y-P%x`^QY>IXoMiogfS3W*2SL3(Fh?&}kI7C%BLG&Mbs+E@b>{)AmiKDsfIZir> zb8S@Xj;*+F|M;<_lt{t@z?0B5&h2+r*m_~Bh3A&W_Wfonl>-n*B zGq#b6ddn&d@r+=s>WQG^JcgPc;1P77zN?JWh_YRMbfYCaYPWSeI=gkCZ>-qWBYh06 zmscb9+Ry!00b(me7x8o9XlFOwe%HP8N%!zS3^K9HakUs4qRe`qf%D9-jeLAUVFNL0 z3EBCIp?X|4gD{w6(L6}vC=7V1_0K7v+YF`-9+~qPXgFP#dnkgnt{*@9;>Y|;fJ4f? zV0sCM7yPn*r62PyxI&wgwfv9R%}$4SqaH7$^sQM=HcqY(NWIiTpt4EB8P#JsP}aWr zR=5oD;XWfl+5^Y(!ULLoyNZWbib0d^QZ5SmxTaX687YBNY;r#E_jmoEin=qot2he|SYKSw*_HTwUHd~okZI*P+0PoH z?73buR;S}rJ9zSzd`a&YX*UF^_si#$>2EH2G8;IZR;%TNrSV#Q)@W?+2^nXfF zEXD(9NN_wa*E3(~=)kqL@!qE`)Bvsox;F*~GZ?*^Xrw(D+#1SP$L%n5Zc9u~s66bT zBa>HIh_cfEA+Of%2X2NFy&5B4Cl}s843`In)2AgKwufFd`^dg7%g&g-n_Jl7RZX%%wdklh4e(oY%K$ax=OdsFHL&U2t5i63#Uyhm8CDhlsZ(m<`Y} zW2IEAwoi5=jK0=BVbU+pKN5n{6*>C%UHRNSGSw17yIpV%IWAmk1LZ3F2P&ilXS8p5 z!gT5?fHxcFyYHWs#y9nFC6Z_4vWNRdTgN$>7(;|m6o!N9D$Sz3G^vj^ZD7d0quR{( zeODqr-lO_{ZhC5fknNN{zVfftuW#%RtWM*(4{N-yzd;2^qbG|jgPo51sWei}x7lzlY-!b&oX7}&;hA5h_c%1WwtIOC zGQarq+(K_rOuAvTg=&0fB5X%0;{Au$de*K32W7xY;$U8vs9>-;wFr)E` zg@DR<%H8H0mT-PjzlDjC-RCMIPyDx3u4F8R=--Q(&yLT6Q6odS4qHy&wE9JZ&pt&E zE__CP`zdtJNc(xLP=qC|ux{jrtj$C>;jjCQ5N^E|3KM}?DtUtc8*iv;C6zdLU9;2O z*W--T$nRxxu3==zsr8;GetHLK!_CLm!>qDE@ITz5oEZE_)O6-e_fb`a&3U-0S@?S) zW|GszJ%pxuXj-qtU|Rl!|)|W1qxLtzebE~* z-MiXDNEl|*)_~Rr85ISB2T#VNFa|-}$LkM4`*abs2|w<50fg|(LEnzkro&Kj;64Gc z)5CR=s0IkvA=i;!%ra_UNzgu2Y{Zo9)%Xg z0Hzz(`0KlIL!pQ~!{WIZM%9^4JIpYZ3+-NHkDgIHBR=$WKbmd}46F{+@O~IsMla&B z4*CL?+YrFRQZFyx%o7qA-Fg!Ug@WPcfAbst!8^WDwaM11`e@G{r3Y2|JGNi5^+GFrppTPx#x~!@0aOv zpzxInrkITGx%uIR^=}qNNXohaXUAQsiuD zzEKeO=FJ(0mzBfoj9Tmw1sTJ!0-E=Nq>s{CvE?6%%geV{>^lp9@|AnF$cndzNq>2e zig13`nn6zo3@R?RFUwY~{ch2+jK+~)jcuEJO^tcCF>YdB7LsyU{clT_1j_><^84{e zvH`P=zR8B<+W8ly6}L<~^=R7kPh?kuqh7jp#IpNB2|Dq_^ z7tEX=UOd*;nDwBmZmF2hXXwhO>n$dkKE2URgO$C;%bbsrZ#yx~pUwm&j}MK>T!^au zMPagDsRSV%XSoZ(*-pxemCsoWHQd>tujh{%Pd-aL)Oz_Fm3G>;iK+MK!73O*&2RSq zJ;0WkbPAnHdWALXweb@mdOKkZF@cND3 ztEh}=u{{*7TX-!w%H>M;T)d0OGnmpCV#hRMLo%;=ral*+|BJ}fUrG=$!;KA&kJa0F zx%nwNiBEr1#;GB}jQtIEOiQ`5OvaZKJ^WAj!siGekHU+D{|PT-ezMyPcOVNkb~CaZ zOj&Od>6IR>C&c_uQH)F#0AvF)@)q}+=W)%#9l{TAt*2YdZl^yjKw8A~Wy4Qg zF6jq9M|=#!7%Z+am|0}rH)Uw=roxT{aNmGHxFPfYkb_3GW^@TknfhEPKK#Ic0BOe< zF9uI*hG6>Vp**@Sv(?aWSo@ssfqGzxB5|nIwML_~N! z5^aKoQj(Fr_9p~UI!ly^-uzMWnPxt?3XH(UH>zjg1q*Scf5P;Y8;KarJl|4wJc#3s_b9 z#~LOF%WU5Zy|6GU#D!G-^ow_c~_F`y$%;Z_)^-H6P7P=EhtcF$4rRSZ)@q0exC-Ahy$ ziSzVF=%FMB+k$Ne7ZdZ2v)#cGCSHU?+SA}{NOy7afCUkWs(_@f1;abM$Ny01nt$tr zZ2baJ2ZoGd{F$jrI-ix<_MBcLE4jRejqIO*N4CXVZ^RR-JMmR$(7$~vjZ%3w}7bi}ycZqmdjsdcYY1=>q<^M!?T)}+{~8ol$fz_5)=s}2mw}k_x1O+Ak!S8bbz_xo zo(Q;eVbdDw`#-+?{AdZUHo(FLjqBNj|CDUECB#JEHTMVR3wl5Sox9UQworcUGS(i_ zie7lpZ-2W7^?zT0>d$s+<|OFQ_N^m=PG$HbtiR>IyXEPAIltakf-JLgR5{YV!(VsB z<5#XJw!H_Dg%~nrWBX71ji79XITgwHPFOymK4RVP!w*6>oltM19|!5Yxmn4!tQ9?67+c z{VR^wUw6fVBK1{pO|i-AdcxeR?Ex(Ue%SQu!W3FtGR(*Ua2<^43SZD|us?|jkI}uP z@%kSjCe3xgxy`9uO%x*k>!D*E5-2c{)+pVg%l%^NqyOqPn?kKJDZfx!%tG1+b%e8e z$iHXHKv2v0d}4m05X@~2MlIyOI&`0%C(a{4cT~srC(2xerrkLj ze=T;dZK?fPr2f)nEJSbUYRU4@Fu^(2Y^r^Tz4eJpG+b0e=Yq=h^^%5#RFs`jA7 zgGG(K-VtBzaL_}8yk9BJUI|I^)qO-kIUSwA-!nx2q27VzhYw`qXO`qanpzi(uJ2QG zR)|#8+B_~Q`a#Cth-Ea4&TclsL?jgY$`rmq26uH(O3X z+eJBzmLx3``on)mn!qs}552^k3yfsAHm@(FtsRdB0&Vzi64B#dGeg;E?zAg5QFy-I z+C<}PgI-wH9gru>wZ7ZhGI(2O(vNKPl8<)mH6U9rft1BOMd~{o_t24oY0ArX5^U2S zCPxZ@Q$$M21lKLY-IAt8y9A%ldow(DQvp5pP{ZC3jun}+nnB`7WwZafwr=W7C5|<< z%Q&~$j-rgAmKcwd%%vd)B4d%vUBq{K?VBPvFn8R52yL0dqNehihisA3#qohT8$U;; z$yVHn2o8K(`WWL|fzg>-d#+bK?aSv({d%F;!O0||0+y{ZE=-5@)WO^Z%3ES^r6P+8jCIi>bwbzoCX8)YNU({YsdcICswE9GbSa$wI3!w@(dj41&n_2tR z3&tSj_^(7bz^KZs076t|HY*dXKCkZ#_N#rC1G$b(?LRH76IEt5|70W#t%+6muFF7T zx73G0m&`%zeL1)zdoq{oO)X2dU}Ycq+xYT>E~Y2vU{tb~J9-$Q-==EVX(j1&*J+3V z%T}A;Y5EFEoqdPCUqymCSNUeYYZ*c8i}?=g#DP%QN-T*&*7$nq)kBY6#2WOY<9lfc zAAAsozf(9jdll0+xhN^|cPs9RY(9z$%OZ~H*4|@_dhUX`4#jhOV^yw~ixCArwI^L1 zH~K>Ko6DaE9s8?|hhAEu;mGtx_-oFzBL%e2#dL~mns`6PEk+1XvKX&d z(CU95OA$KmCb?xM7l_2~Sv{XKx2X_hmii7>xxB8&LsA(3vbM@|*Mt<(Th73=Q#&bW z!RdCltGUob-Wd4;a!ms7cZ0dEIZE|9qO{I)SFxrWTwhiGyB8+)W7}iP=pgsM1eGWn zL;Lhl*GuI^%4ClN8Y|_&stIW};dqn7$M`2QMN{7@f2cgg{u$`ZVX1a)ODO3smH!GaLri>vRNG;BA6b>$B~Sff zk{Bi(NMmQ6pVj5j+SjH9mN5T=qM~@TA(JWOc2O-*KRba*1ERaOIC0C;s417q zMgM|^;yjbVR|Iet{L<=C`evx_hkEo z!}!m4v3)l0{t0^_U$s)FiLB$;eP7HH{GV9{=YIv4@Lo~~UFDq4R*%ChTSexwl&U1& z)t_=E&i0PhpxJ)caDg_ZHZSq2jQ)5#SvSX(PeCj(&c+?5+=Hq6bD7R=(Tjs-EDk%c zTX_SRh}_=G@G7N2uMr=+D(hGojIGA*>!V5*wQ0;=r}c^wc>S;Oyk!ut93S}9%_}DK zyB-g5zB-JX%3hWiSAlX&!cOv0#_2F`mA6*9r!PCt#kx&>bX_p`tUG__6`#ofOYVd^5zuod-3Wykxmir?g_-&w%ldu$cmuxwS?Y0MOkR<}JW;JAT7J9sjsd=g)U;WHCW^3&>(k>d(2T-pigc~u?GG1rRXeV# zN_`Br*O5mK%=rd8&u@VPeKk_%eNnMef;erQ5Y;`*@L@wPmaW-Mkg-`pjG%xK>OFNS z%kUsLie;6L!I<{oasK55XMXNd`jhQ7u=bW*t6Un-VHAfmQ}N7eB>aq%nwbLV3TyUx zmFmAPvO}pq5+=LQi@O?O)j(cpOWU>YbN_zc#a{2~iQlNJxW&+U{VUShf($&PDRWS2 zROIR?kurAB-rdDc%zhcteJ`n6B4&emgoLTR?Qu=p*{542*WWAP@CmwHiCR})BI*nW z;r1Cc23$ez^vFq`j^Qze3h{oJPQHY(`gsQA1dDPjzT~^+4~c)fW^55L$Ap)jrC0Yg{|TQk9qO`S z!djQB{b%X4!11r{VI$Uux3xARTxcg^yY)U;<>*5 z*TL8t&M@JwssBRA6Ve@3&Bd@Ivg0V){*IHIrPxs}2gjsK1a8FVY!=z#QOub#dHmCw#s;_vvfH7T{?)CA{;#^d!_-@u5nwOJp~bVDHd?TmkCX3XddJO1)lL=(Go6dh+S6BB zA8&-v!2AR6E##y+$SqL_U*-3rL$6?3s7^%hm~T_|cU3u_& zsYi;(uOH9%Nbi)78Ttt>f0>W<=FBGKS-)t+uH_ipsG)dUWrDUaoG#Br=ij5n+-rg^ z%m)euy5OHwM%vpH={WKaz4BBKwRKvRTzm!O1X|3e&Ppy-l~1ZjM}LKj*;2`ocn`l$ z6tC;|jf@P2PqiB~E^uU%N+rKP>2#6^$z@8u_6TbI#&Z)O9q-zLtHRlHqebQOh`6EW zge73(b~|9v24+Kj`6AbT?c8^&;8Iw_2fama)o3y5N5rPr=mJ7c-M>ghrYzD>Cj5bd z8pjb?!ZDLsL)OEgVd-*BR$Ie21No#}*I=<9I(5Mtv6)>b8)J6Z1nG$)5t~z^_C)k( zc3njD)=tN5@!Ic)n4^pwrcEi1oU}8G!m3WEJ5cHiz(?nru3qvdOX>Ev$5z;FFZUNF zX}p7%zUzuu50$~4-1tU*7dJm5-p^}ZyXb_p1p78G%Y50+TgLJI`uPX?opij5?%n|z zY0y1ow3e87T7}H1vupKB!clGP-(_#5SUvtWFVniz72d>%bctxvaTDHB!n>>Bj1S~c zbAylM#O=B0)5wF8`s!hv@p(d*PpkT@77b&^Twx1b<<_?p!QU%(OFs|(ooYH=U%)6f zs3pgD{CtDDrL<>q zQ8MMSxu}t`U4P}t{GxG`A5!4W(oJ&D?d_877oTH?uP9oDd&$xQLg*1JUF4$bKvejm zt1scg z$u)}}$oD$Bcr6jNyWT#?o~+@_O&-n10$pdO;>4TTw0(zzt$AvBHzLv(jCPS|%z8C3 z_KCYhg6X%Azk1Z@#16!nkvH!QF<5vmpGkL9TcKoca3EV%+V&GfleCYifMC4ceL^g1 zbe-!!qD0X_dUCzpdjeMFgPzT$7A&nI4T`5NHW}#TX~oV^R`hc=OB`WjBC5G=Ux|P> zScPW)ZZ!c(N`9+lX0kBWcY}gFP;1;&MB+Sqrf>$FxHUrbb=cq!Q-b_v6393`YE8g( z8Bg|TjU)tfh*lYL`yE&YjVydyObKRBF1_pP|jUj>nfv*LJ#v^5m)xzb|9RAHxU+c0zj<{65Pdei+-7}cbaR5}x8Q4|2MrcD zeW!c##`CgIY)VJC#9pHO=2KJt*1Ke?S&|QW{1<%M56VMiMH+PVkOxxDyj2}BCa?S# zCa3s(0g@&gU!+Q<0{N-~Z?LjIQ+_w z87LO~K~UxNhUo2lqZ>{51TC>_(1N2VI=>q(n*M|O-{)&9WS;q51wpv~h;`x+FLi|! zPuHa58$UuAFj$IDa8=yiU0d<_R+xhp(JDF-ed*1OR2tvVeT7}HI3ZbvUIMXM{8;|n z-?;x4kv?PW1h@~g#C)${t{r~hedoD5T#P9`Te`cYmgoH`*w^DHB_`Kc@6Lu?sU!XH zBNUe-{KmIj4S$F|Cbtj5FRk)D~dy=~`*GU41D z_xQj;h0K_lJyn9&p^DfCS{zY>i~fr49GlOGNMFb@u{W`u?1iXI?FV z+M3v;2&PhLd)s~axjcVv+JLcj>4ur~F2qDU#CV#@7;47Gc@pcRe69W8W?=GP zC1&8aV#~E@USSH>NWIt{_}dPi-(GKwN!a?~LdUD_Iqw_i`Fr=T-wfuFa%Z0~^pl^1 z;h#8pHuQu@0%^nRoLtw$<%Hs$&eEs`*`fy%@<>*9TSyoyM*18}nv^t~ z5$uawrEF9VPjF{zQNz(Pr6^S7`(98Gx5Q{v!W&4U_Ianrv2PV>E?~=+RBmX3D<|={ zU~fngthfV=mENNCh`hr)wES7FWQYrApOm+1vaN*7t8L*D>WIzlHs^xK0|ru*ayNsn zKQhy{4%Ye$Q?$xnQPPcrcAx`$E`ZOf%tEziYXj;QPM5JRgsMx1QFlLbJ_I<^`aVq1vJNlQpTHn~4|z z-vwlj6_k|F$t7Y$bHiR1Zw}|m_?X#9|AN=`NA7kMI02_y6rQc~+K_So;yhV`2=q@wk3vtG)?r~{4#6Bs*l-JFciGDdF=04G=*2f02j&8)Y|i@T<}b-vlk5iaIaUrSQ- zIH7GrnUiCx;E@+jZXrXnQ{(Hp@ozG;W{}Ih6Oo|BL7Y+p)d$^Z;Q!B?R`aU-Ll<}o zRI}2!Zo2k`yZkbsUL|RMI+o&iU~mMGk${Ii$4sk@(|_$Dt_dk^>#f-JOOv8&_F&OX z3O?Dm2u-4-@Hm_KBz(@pIG0$(^qv=s4kmkF>cb~Bz4JZ?idzj0G#pmn{4}4Zh6^fT zCrYhE(@hdmiJWN?w6alJ{!jV^*xK&F12X&s@S;mx^QGhcrQ?*n+=z;Ks%}}`YIRfz zueX}lH51=*74vKi^>u(m;(uRoZ>!60qf;){8ti|WrTmaz^SN!J(;1=KOJ>=4O1N^S zGGFZu%h$(0G>j6So^Ww1`nbT<$y_>F*STTq&pRVAn~ ze0?RJkYN?>&I`nVcFE$tYYM9EbxQzU)SA#KeQ zS$l%(fqv|1kR~4z(Gw=jga=VCp6QwWy8q&x4kvGb!W8 ze9*RG3J42z7!#~QTT>TyThQ~pQRUBCMAi#C6$P^!s1*%H6&-zaGvE|<(Z?^q%A|et zi`K{SmoK&ZHg=abXIbl0n$udF#g+Y%bU5Su7QjN=(V9=qpzD}!|_S79|?|Y-2sqO7^8fy;xEIDpzm|- zIXR%^eM13~M6ySWC%A^pxR}U1`O_N9+F^DS`zxPdw9H7U%(0Z;*5H8<>deqW4BON% zqUy%e`OLHrPP2%RU?n65sI9qx7} z>zSGYD>`o?4@xQmw1x8cH;yKZZWzq83k)~i-bQ(`Pq@2 zMcAs-9srE&qm^rqUK&vM5GKNE!HSoC!^&r^53YW7CJP#3&lG>lKVmMe19uFPlv1FB zj6i10bZ1}v%6+0C$fJs1>jAUF&|{k3W_kY%OW1`-D>0mSmnCJ+zo6@doc4=o5c}Gf z+NfR@>*>Fld1$(6VwpX`0@=pkD>hDEArbH_TNiI)?*F0bD}d@~nyy0#8Z5XI+}+*X z-QC^YLU4Dt;O_1Y!QCym!-MOEe|f+9tL`nRTU)a-vpwCXPoI8hIN+lB@*hNnB1ON2 zf8A-4n5n73+~kU@@am2an0zfr8qLHpmXUz`*0cPSgOI{cTgw@?Cc(zLg zTj0)`^C)u+nCLfF*xz|XZtDCZ3_8*YhF>X%l^LzPhOS!x@(|%#s$$}#!3f@6lRo^p zwv;a3K{$oH0ew^VVp0d6c%DN1wR5hU(3)&ixQ;LhvS3Z4;fzaF(LfMV-AOXnoXbfN zIG@ftJSK}TP_rdaB=I+RAV>l_M}RM<7e7Mx3JJF3#58M|kvEq(3_E))L@x*F?13l1 z=M==Rc=!?~K_ZgzOjFq&kIBl5tzV!_K0n|^cQT9;jwDnzQxJKpRJ!AUX>UP~R$b%p z;wMlbMY!$+$`J6)dGC*yQ*x#Ot z9n0M{PEqb1ymL}xIQL+AMDw}co)jsYFq7&YbsxXotg1Lt(|r^V8!zTu)t-&a^FL3o zG|iQu<#Sv8XKyV0+$2Ke_a$qKfTGMlRIn^IPbue@8tI;hP$Q}Q&)lx55(?|5!t1p8 z4%9BLRKpW`sXV2BFz2S)i@qFP<2bR49vH?;2&N9Fdzc7R8efkKXri&{FaNnMCF_YX zoZIlI&He|$d(o0;*!?A&>$#L)xTZN@oNNikkpsC|!*f;?BR+*p+6VetdNC*X6V+by z^8Yi{A{UV?7ziqS0R!N0|tqr*R#*9GHa`7;nhEZ zuL@~1j=MIrO7$~QiU{3Mbt8|Pc^{8T9c*FTt)Tfi&XxgKa8u0;^@$tH++}+c*Y?Zj z06Oo{DxT;G1#LtKns^!X8hulzJwTq}vSsA?8?f|d9q)i$cyLGhuPf7TS4OM7ThY%T_zPX^8{v`7S{vo9{Qp4JEcyMic` z8K77QC$!_`)0cl-ClR=D20M!|rkgt))5cGZRDIHGBVxYyJxTfW<)>Na#QhIDe?KTQ zm#5!5Tv=PDjQKyTjD`WzPD&V=94}F*T0>7mLxPLYq73W{WIu@F4JIr&kV%BjTaohj z0ADq&4w^9Rud6gbhI~XN6lo3Svkv+h?@$WPj4b2=xr2V`3Pv<|ssEiYMkeyHD*k7q zQZ05nkBfGN*=k4mjxO+ri@NU2<`ps&BJ zcLM7;s6s_+dB{9lk-1%n#p>&TNj6AG4J2)~RH;ToC?{j6(ICA@H-qJ}u|g|9ul-56 zOr|i?JWrXm2OXOg1iWR#pT~DvCa2%IZa}eYW0$6a+*DwdN61Mvan2y%E0a`O@nPQzvByl}ir)Vnhc-P29CA>&Fb(lu&#fQ&_Pk(RP)z$SPrveFz*~%-y zyd%KnwwtI!Ej?VTD$-dkJF!vyhdiV#9q@4jX%Kx=q^`6uHM5eL(+ifsozoN5X0Y;_ zn}5JznmqandotgQVp&5Jf4m4JtkUn)LCHvVs1}SC?bB-Hz_C1-ES@ITbi|_!Fwl8Q zE3;*ZyV+_b%h_ucf{EgQtdCN(`IjFqa7L}B+59fP6?S$5?+C+csA09Sa=Lm@uD5W!4c^fS}Bnf7t zOL(JY2M8ucD$Yy8CWrpK0Q5EqFH{?oeSO#T=1OeEfeRy=vz!CAQP&C~QsC%o(}jJ* zg}Vfy1H)6h3)QM65D&sCH6d&=)O=|rCQF-ADJs!ayJ($Ko<(<4m)%_!P3cF>cfgmp zqrktvv5mFACOlBZr10 zW6=0<Wn?0{_93R) zc!~Y6tSK2l#dv z6ApaQ3Of+jMbo>IU%75?L^k%p5O%GFt*TDo>&_31FVY z3zqc9VqOkt$~;i)S0Dtc9Wj-e{0550dKAyLWkMX80u%j1DFYssVMDt-Koyi#-GKrY z^k1}G^_g(x|12X2=gka~(p%ODksttz7Tvuz#>yYeIWo8K^eEh&O_ocU$(~4d`FjHy z=@eG89>sb8g|1B7E&lI3U+VvkSqA>Pyg^l&^(xBe*xCbYsIx85Rpt36UHgV)@!dD@ znN4 z=<1y@?2R=V3C6hnmgy~V`O;aht5ZU2*2?e!U;WCxl9(Qeenv?d{z<(@zNtJivf811 z7N`xo$$)b3Jo;jY3QLSI9=$S|TA)VyexEn2KhaV&-7w$u8`_WsmUo16%FJW#WTok* zu;f^;eK0YZ+wI%{U>$hy;Q#S-beb=gy*r+L5mKzt>-zim@4vH}9y^}H$Jgh}jw?)l zzqeUZ+V(=otFL3$mv#U@%EKp;lBOq4pw_iv7RUerJf4Qu-TPdCxAnt~y>fRxKNKtD z1rhuA^P9pA&RgGLdK)bO8*kSJJez(jYm|PYaIpUu_!|l<=?w{~c%kdp;=$t#5=E4L zeibV8WznDAe1Mzwi@!DS_l+~mH&eD!U?(9yLRkE7>;IF(nD{3Ak<@F+{KD}d^bMGY zRMi3J<`HjQ!0(y!n{c=@2!lv(qYry)`a}7X<;A8j7W#}xa{l-m>004}`d?yy4=Xwq z7?n?lr~B0=2Y6je!&=SXhG2WC+|S!XZTH{p>he!0$sSU)ghs6`e|t=7!}x0WMd$}2 zx0U{%Kkvq0^NwFVA%&As)pcXXUsd;BiGHxFx_ zesg<;5$2((cTaa_efSTCWsp;tkV{PngSw);oCDZ(Pqusb=S$>E3QhDGkJqeg4gjHi z3m;uOJ36Xls#8uKIt=UOYSW9grZ4APU73LHM?!9HEZ|-=uiNci`G0T|_`fmYu-omA zQP&JwusB^0VYIwnkt0k0)Q~d07??HA^LgvDt>Vh1))+!my%LR9eZIL4dOJ=o3xcWb zc#wS)G`Chp7s3s;(*Ge%wH=0C0eD*|6eIZ;h`;7r@ck(mA+`Dq5f|@2z<*B~{qW(? ztwE9e59cf3%w6xmw`uA#hZ-ambr1zT=iTt0f`_xh(4#sjoxFK3XmBV+j^D~cnUjbZ zT?b=poMmnHKlVehd@J9JOGgSXB2>7&1zFxM9=sW{YoB)8UxQe?h0s%b@L3OG)szl5 z7tt*v?8Y$4^MRsmpmJu7{d!1)j~|n&?@S+sRZaPWB~M}3t^<4q$w}!nnoqB@{ZM(s zujCjG1}_%)SyXe{sWm`0R0oRH|CY{6#n}chexjHz@bLdhoz2@WbnyEb=??2VNl6Rfue~KmE^2cNOkVqtX~5tW;oq7t-2;9|O2{M#yL~7J%QR7Nk~hRb1#{e3uty zW@h%o$3Rrn)TZFZvpWmrD(8pRpR^kk$cw*f+442@OoLudQE9;>w%FDGy0OH%Y*X{p z$={3Tgh-GJ*7_JF%|)UuQMs7lL8W(ePy#hl;x$rHMnzJVgsWcC6RiVYcv2?}-wA^_ zzIrtU@8OycMa9bTAy$wvR;Rv}sZx??+sFP;HDt|R&wGZBw}7+a2F!O17XKFG_X@Tu zAW|V>)MPD-lH}tTQ|WVfwWLU{3k{e&HHneU_`zDNW--bfZ4pQ#>Taq6INqZ46Q&t* zq6J~yzw^YBBc-sq>@65`g0+%YjPulFvCUka7Bu|FzuieWf4-$Yq%L(gpHf0i%X-#t znt2LH2%(-p&X@C~FmX36{Wt~{7G5%ingJ&Rojz%d#7TKuv}(+1@may8!355w1wfyb*M4;guZ!L$YLknyLH5u_)d77C-;bLvpTu>eMyX z$57?Pk5HP}C^_aZ)OApA04N8|LQ?((1KaiLi4-875bdNdy2*_{(NYB$U#EQ~B`?$w zil8eAc6ZYg1AR-FVE+;^Yz!M50039BrO3DL$oa&YDv~mzt!1l^{Xq-k5=#dFF_;ip zy4jGS0Ixv-mt~_u?U;l4m5$~#CGuS>Ie_p%8OwsRZqzY*Zm`W0(NIBioz#4mH?4^m zfMZk|BsUO1b#N|k=v`zl+a+SzqIRe2rK;(&F*uET5=|hOqPYb-PWNx2beYc11cPsp zPzv?%!W@hssR?ZHEG85pK4dSf6`(Ix(r6<2?OrVZF0i$J8XI|jkOV>n!IKMZZ!+8;>^R1j{9dkOly7 zK2>ry$?bs#T**ggWj1nEF`|_zwv?$6eFFfK5_MOu!M$jSC0b)kCD+6`kVuqQlUuo< zdRvzviZPVKb2Lg`%iY(0uGDqE&`lq#?q0VfDR3=UdX;jQql1zoyMD>Ca9!|D7lN#yu2CiP4@FIYQpo;*RjMmXyMCuSL*VgjY z{Vzax9m;1jR=|>2B9+_LcF~2=t;FT=U^rW@IZ8Lr5iC-gotfzcV#n5#;>^Dj6Fhe? zK^9O}$#_j;F>>=gvQsS|yM?NSwH1c+{_7x2v-|FJ;p%_tI`e19FBz&NXC}=6_Ghqs znTeHFd?j1d647$YZ)iFRP;V?3zGW4j&9~M~tD0b~0ZPO8Nm9gGrihIhgH(-xBE#|9 zM25j1a4b^r+&Fyu5jhx)f6IwPmsueTgO8!fqVZ7Nlw3SRK{>GYr20udlW#Yo zK}3WLrJSU;L?uOt{dv-ruNt#$=}o+h^9_qv^QFwQr5%?VJ;JHc!pn>mhiKkXo?au; z=QbJi}pfwOY5Ho3Q+lQ*G_e}(#q;>i^)C{JxS^KAjXBs7Yd;Slm+il4OaAHJAX7(y;7 z-`bp!W?o_4+MLPii^`gH5#hg+^W6IRV}P{kUC{AdCn0?#RVri6xwcR|(ig$s6SN;G zJ$9Z^$nu(5%&0<*$xQN`A6qXjfa~~EDCmkh^;UG0#|kv}h<=?sGc@Kr&6}D`tTuY2L>{LSn)-@$8-$`p6zKp+Zd>p`aS6?z|~_2x-FIGQNdgcQomOVOU;Lj-u#K zaT8gUmkP>TRgvgP`j43QUloC$;8SCW0QjvG1~M5g>$~TyPB~~QMpi1!u5j(j#BKDg zv@YXUqLIBNV5EaA=vf2S(rmp9pN(_`PrM_aq>haa0HZSXsa4Tv38ZNKL1+4(wb-B9 zB90R>Va*2!o|HE!gHafs5!XRopKir&D)1EgBpA$imJBLCt50>&yp101eGU165(Myu zA3}q|!hfanN;u3q|7!oH-#_aGASS)9J3rwG-6uQ(I!Zr}X)KvTS9^mM`Ry^_)P)8- z9B(x}*F{yJAB^LgWl5dKwb7REqwf3rV-GW+r8XQ(Kma^{3ueeBKmz5UY1_Aln<*>d%C zWxzeSrfFvX{DrH&Qi^3L$Dg{KYV3Cr`ElCJ#6 zz~{!I*j%o!oN)w*M?}OKDrh&Bt{?#eqP6Fg1eu&Oenayi)n%^0(nmd=V-p*EZ< z>O%@7A+JXWV!d>VlOd6txJEq=CAsHAPw z^S2ZvB1cmk=C-cw8plu`4fhoP~}4)+ltowqw&$!M^IskN~! z4*f%at`E=vA=Dz*g%l1xevq+3A#0M%*+nLj!(Ai6)k>!z5pj>BqxKJ%quP0_M9ruD z7APpS(WLUa;W$~arY{}6jkSy$WKpH$j+d;b-Z^jK&ibxp_0|-6zotME#C=SNiO}q< z2AttrQrlVS1KS{Xw3wVeUUGMaM+x9NO0<>az{>l)oag)sg|%me2b0&~(+`{ai}s)5 zZgtVr)y2$o)%VuYyTyOsU%2j^gO8`Ec<9D>?yuzv!VNgWfbmgbhJ2#=_e?r8ZD%(K(UcvH7X1 zf-!A-W=Y9j)GKN&p%4e-Fervjr`K@x4`j+_?O}2@H5D18rX6XzjWF3tlMr2EOn*}Z z?Vy^oV-!xy45UGJ-L(2KUm+6bhZ%b3B4vbci*$wKk?Ky3>;MskX5dgHw!fCF^T0p2u0`JCe;53?HLA~((P zBXd}&eroG7mtMqNWzSJ@$NhGyTGghEntVEGu*g>|zLGi7(xwNrE5(bJ^jw~%dxLi` z$WCkn&PjN$QGZ}*Mz|*1T@iA>DC*Pdj<+L`hUF=Yl|2`TkLLg%GlX}ia9CmBHp;H@ zRE}wJGE&%hU3i+HNU8GW+gGqL@I{((ozda7ixn31V)Gn{a<+6AVW$lz3|)NyDmVgE z3^dKNMFD_jrQMZUI26HjI)@j~j0A`(D;_1}$i3AsQgqsPTxd|dXly+uI2iX_DQ7RS zR{)SyR`Q#?rDy8!B|CbAZNaXng))^JN(ZIsCy_|!K}UI;-zfLFn<^{5wn}s2D3))V z```is*4r^OX$~y@_5YTB07{97ZnM}fZb&Nvwv^Wod-h!Gc` zHZiiIPk=jQ`+@Cp zzh2m&@$w}H!ON4Z1hyEKE>s%PR|$Z3dDZ=D2dEJtu-R>d>D3$!Ao3Uf`SVLMk<9V^ z`DlcjcXm|O%fN9(7ja--Tx_K&GH25>@oje z0`R-Edu>Jc^R-A*x103maqBwXD;gbDqjhTnc+=-TWpxUkwHWR_;miulKn4upUXo<- zvD4dVuYJ;gjv#O-Z{6OQln=H}KhHYmqw1r1lTGtMA%g3p-`wz7!Na;3EDI^WE-YG` zQR3FQs!_T@FB9}};elfQ$C);iTts{YnB^SR+)wx|@(W_+Gpu>7Z%U9Ybo>8!NARs4 z&R0h&p4k^SZ9*>QXXTOkde-dADNH>k+DYz>J-}tsU-~tyI_j@XH*o9cu_?$0*JPx+ z`LBFlpf^Orb%+U!<*eT)9oh5N>{EN|%Yqdv(7UZ+bt3oU&HNou2^i+&o?T`A_BKJg zhRe*?!QfU|rSf8xrr*qB<|Fv*B*lYvkrRqkrFdC!bo)D+agX3!Q(746s$&*^j8~P0 zLK~l%ug3@LU<*8W^+f@JpXWTs|fvVS8q_Yx1?6U|7)6o%d7y&xgWhd4Ijj zI$~dK{MU@OQX|qPCQI=!1l1XZ0deo;;VA!Bb6U~Mf%RCBMCIl zZ4@wV>jqID_oLj^<+)i;I9IybS=QVINt_!Mjhgfyt-A|Oj*S@|O@YgosH%+#q*-Ww zgBB%X-0O2VhYwko;y|`zo4+#vdSlf&qY~)}?WDZh4Ft9KZrh6dAQU;@X2yj<;XHnf z!rgVZvz&J#Y>x!YH3#U-Ttlmyd#emO{=eU}I+5J@K&_Gjg-C7inGOXqq$m^_Nf1y~ zYtS0}x+#$+@%?c?{NtH6mwQ8qUpuV&R6(}7==Ho{cCO1}|L6m7dE_{d$yWM3>=`z? zm;Y(>)9!zJt=VL1Cfy|mU^?TG7}L=N(l1$#!&n=RBY1BY_WpZ7;9z#XQs+1&=i&yL zoPompG8mPc!d$xPEHO{c%y`h6c8#JGGn7}?z8nF}7` zE1Q`KIUn9ffWwG2ZSCJyE7{_UrNdveAYh%MHEjWA2#ooM%uPR}xev+@qP}z%ExE~4 z0%kw6%Q%DyNEIryL?!W&s90J207+8sd6?Pw`aAUE76*B6u_+`cnFqI5pN6#{&f%OS zuA&r@s*R(F%aP*6#C&GaXv<`(`sj;!Ix%wiNGu#XoL_Q9wyD!-`5j{nYiaS^EM{+a zS%QT)w0LQ=d~L%vsElSv#b-*46|%=FS}*C|!#pF<-sjf>gfX88F@g6v<8TxfcyAyg z-`^xkWsk>A_mkNIDEjUvqpSv$Y~7IA;j56WD9O!EWj7}?{<(YGo-$7s;zYz^_VvH?~hqw!24vJARbpFZ;d|ARLHo- z2-l>w=|LlDz1O~#S`g)A$;*F4Q)y-0aYzlA^;d~S?N-Z~@D-L9vpUDJuD^_=0EKup z1TIA5m5tj@F%$4ZRczK`2;zR^a|66`nQ<%`y`-x^z7$k4^9SqYY56&=*5c)7MPv25 zEUbn&N)h!G!&=7=#`*jdSUUnIWHZ^T;k-Cmg`GN_3Ohag6C=%D6*y){d>L?lsPYV4gLp% z^bi%hOLt0ZD>mjD8<_66*u8`hpcIg3b@&cpS{xdTcLG5#%YiZX$o}7WzwDQ+WbPzp zr_e_4+)W@<8C(kOL43s{K$|M))fEaMOm=oIPN6Bc)MqA2O?cbpNcr5y zhHn4ewSG_2ZcLYdu=^>KHs1i{?6$?=HEg*t@rR9p)R)P3vg^6!b zD4HFFFELxN+$|P5y~d5|EZWmx2Pb5;!d(_JGT)-gNnlBme5K^#*3t|Sc5&*W8GSSR z_l@qD6S+uewkRSAYMiCe$!&>JMgj}qYxL&T4g2hBR?Go4Iy*0X>i^(9XDL|IOqPJH zGt3R>uY6J^yVDX#=BSxFTZ%f?ib{!?k|%#~H=!a%22X?wW2_Ej#P_)6TlGDC0=i)=OjV5+DPQ+<)b?r2Vl#N6uZ1|1j-L592I$f0I}d$# zjE^Kp2nGr#vt=1Ej+(A&m0Z-o`xVT+FIc4zUo0P^Jeq&R;+aHF{)k z=kp4mZw{{I6kQA#yS+}o!Uw?^FQ!Q>X(>|V+bebE&Z`HrZ~Wpv7p`G4QqpD^<#Q9l zZBpP6N$!bx`2$rY6fJArU(Wdk1HIVI@U9X32YW}5ewzMRJn5BMdyC=pt%?VNv^@q}pR~Ic%6}!( zVXw?J0DFTFLxc!Z<&dolvi&!HmLEp9!k0v?P+@bRQv28`_V^I_y+*xAiP3I@0~Y~G zQc_Zb2A%JDAI0r*1M6x*1Op8=bY+L?kRWrLWLplb{YC1z z^4PR_sfJMKTeQ%4>wa03e0qp5xx5OjW8vvnJM@&AogrQQ9ayg~m_`>vS5UelG1oKl zZb_cspZ@&Qd}wb0`=gG{$qMobS&K<+2AT>J30=)+Z0r;wh)58X0?Uj$XPz0TMoIlqqc0f7)?m+bPYT?!Ev`IXE>pDQs519` znk)lu;opWt_uJh3Iepk)x{3YIZ9RDoxx<~E z$P!4Tc_P0RMY(?!-vjX9o%~2TB4*~qa1?STAWudnm-QETfl5nD!vM5ClInKxzYf+9 zYanB+@?zcQJ`lP8u@U}OM5T{qf8m=&dk=`bfc-?eZYaHRPEq%j74BUmZ2LZoR#m<= z=HKkQ0)UrKWp?cDmA)CUH4Q_LYEM!ghRfTZ@+VuhneWjXj~rF2%K) z^U<35=ZHmHR+n0jHi^b^{%E&S+W-jN{S{UqjlnuQ@^igdy&X(W(FU!Uf3(hT1rDd> zM{_SiWzkT4gdM2fVy|lkF`QYa-Wu-Qs=VgMD#FB5l=~EQwmmX7zrFo~I>(U*RqrzU zmA)4%$CfNTjX(EfBYq~>vjU{_HtyM}K;p}6)^GPbtvhHbs-T6Z?I8?={|>k8pDHaV z0~G!%ouU`%Bmpu{#hG@yKpFkP!@9lsNDQ72!0p*^8mEOL;N#gU3#X&Pg}IeIq3SgB zZ_o&WuDMK?7M@wBIfPwOI$lM)&yubZXP+eGI2YN;CP;;K*e(td`3Ktc7&)NDSvCn6#TIw_VY0L_u=`{?eXBetJa=N{% zOO&vL$T~k!|LygQek0B^t5YDE@P_z)9s2c)hp^oeSE?BA^x=!Dhj0!ck<#8F9L?QT zZ!Wjjn#jFxq&n%YINdPNgm160mM&p)-=`J9(@`*-qBeEexL20v5JynnO@;}>5*ZA0 zYx^wzG|)}V=U-HlQdRxCwC)kMyJ$?`eeejKC%~67p>+&<0gXrDimy*5f z#M5DW7i~BHb{DT%C7FUC2T{W;u)Ih@1V|+E$RAFbaI7-rvZ(J5M|`Tt7X*He{VYSu z_r47R*;Ge@HtUM$2p*>&2LS8$qn}ZK9Vsb5g)pCUp>;myg{Tv%sX^iUW2Kz`U3i-i zNd&C@Im~f4pp?=23{IRKz`tu<|9hDpt=)ZxJ3^8>_;SV9&;BogtBqEeNF0D012VIT z>CEO|6|}X-AGiIdp$L3>SIu*yfnE71F=Q3bK!EBW>orpE+0yj*^Kxq=}4Goa6Iw~ziqpGwbc7>vK zcdykk9)HCsJgqkxhNEJZQV~zi{lvhv`V8W}y5qfdKFXx5dTCrK=MhO-16&#c)~$gB z7k`dWvIkbBs+m9G083b?u?IUAr)2v(ti%#_?J4}VTv@zY8R2@|gq!+ZNj>xZ=&|2c zgHp*{iw9lT*uvp6%F97k}2Z$ADbXwzrzhl%p?ujKNCZ@AkDs?KO;Qj3B4ncIc z-S5gi1Ed_%<5nZJL$U>m`yynwZzgBs6)07+(phulBU9L_Vf<>xy>dcSjcwdEswIbu zC1ct*_8HbO;i#N5kEjOe(H6K@)wKH(aZ+j@KX+mU*wgF@+LbZubv5M+S7s{K z&~Z10<9iT(0jJN7?-!Za#A~#i~{uY-Rq5#*{#l7c1+9l1#BRawCQ2?Qa5v zA}-w46&`l;PKW3=!c_`RX48E-oc}nyw7A7{Rchv(1h*tQ-4PS6C3Nz$euguD=LhIp%4cF~yT6jNM)BOPhjkoSmmBQ+fU`ZxrcRZlvw7wMsdby* zO|F_dq}uf!raSK77_hR=JrTzI0D6K$rn-rByriK!~f?L=&|hjqXK z10pmF0vtyqThgBD5Genwk!>~lKfMQqgvUo63A$O_kF0L(RtV32MM9&JC&cMFoW-M# zk!yd6iR~=10=o3e`68{oHUm{R8=>d6d44O;nH$bF`@jP)W0h``st(5${MLF~j#f`9 zRc@ww%llu`+igR4-E&(+F0B~GXl_WIUt*315XenJL$n~X*#Vb-;kKc4*|$!9vMG7y ziH{{GPOThQYzeNixew_14dvIZ>FSNqINh&t@QX#QfnaQlNsfDu1h>yyvMTL3Yj4bt z(cHRQHXA49`cd4ZmdferzO-#2-LhM``IGzgIqq@!;}*97`9Y%Wg{Jxx%a+F#TA7)y ze=VFmt>l=gmEqBBAp-nDqey|7_zafmp7#rd3#aE{iRlJtz{YJ!br$KaA;0riWVc@= zYceV0bk#ubDJ|VQmp3DKMY-jFP)~J#(r~tOq8C#G1UETzInZ_$kY7f}0P?#QdZuJOFpJpx29fI&|N!kB}e@iejn*+v0!PEw(dt3u2*HMbAzPE^^S<@ zT@Eesdmmd_a!y056Vn9C%gOiZwd^}r8R9}*<#_KOrcv39Vl{{t|)j#R#O=%^PqZak>r|1GQDK5q}Ehw60mN?PxPbelUGZb_oHQZtmn zn>0GePB1>~gzzCMU{v;@m6D34h6|bw5`vToxm3EA$GN$eln$)Bn*nI^lm-A`y5hb!LWXSZf2CEZQ|Dm z35rEO#1B27@mVQ3JDs7Gp1+dCI(aZK+3kVNEQ8u0hrr znMkibs;jkn8nggqRf@>rk1x-fSZVFKp6fAR1_##?U65*tr24MZAI|{TE*fkct%L6H zYj`kz`zsBcdyv2GJ$zu|Tz+-6!s1MCCcl{e!M|zeZc`02$di;o+&z>{Z2%Cm?|wcc z;}<9TVK$vJ32@qaQ}z8Qz17?too|ipRXS@u$a5V2Z1QOXL9C%eoT0@gTn?%)8Kp$1 zqDv=sE|hvN0qY@RD24O#{0O?Y{o>SAC8N<2<|u1ZcZ1aoCW8fB;i>VJKH&8WHMWoz zbr=t`sip41Lm-~&2TIMUC^kn zr61=jxuzGA8Gz{(%3?gv*p^4M}Rbn@yLQ!KF!7U zp->*u57BQ;_0lY)@x5AB`d_?M$NdZ1g$GfB`Ef<4FBE|UBNR;N07bHRPlMP`%t64l zxNDWl6F}R;CWzEQ2|o6D3;3xed+S!FM8QzXs<>4bD_AAyJyTziElPnZl&8=*`uGRQ zwu*K6IAyqSVJu}m=Md?-fOJnz$VFGo^}NnD3!g{Ocz~kP~NmD z@}grb{q{oajtiby4o6PT4B09>0k$O5e#y?<*^skq4o`-F^-JieK*Ifuv_;muHFS-= zHX18i#iN4Ky=@2FNS_psDiETjYuEo4;P^XwLVRL6Mzo&hbj<#JHiW7|_k2Zn>Kp=R z*7C8bW}}kiyxAAW^@_H}Y_zz`#6;sS<0^#>K!~@lp9&M+=42=3*9pFaUE+4H&-ePy z79DPxK9X3-nCOVv(DmtcFO>r4)lnNix?NH{x^X%k6ok9Xm9%m?YbKzmsvcPVcQ8-j zm%nkcJBC%DfaKe~S+)vds6ep4N+)uMz_EU;tvn^KwA$;o&R=rUkQV?DW<6D1a8^1* zeNbyK?*S{^l=NQG4oIR2hwy$th{IJxo8q*i<92*u2G=wS^3bIeEN`-p zZhHdskK)2uqLDPR#{r_tw*Vwlv?iZh5W3qro%u?yjU4WJ?41fVmFm3Ut5!g#Da5w;A8CH%!r$D7l}NnvCB9ou+o zB9g8ozcwsaGPZsanhKDF>_^=b%-$MB=RPMo1IXCgsd!}nM^#EZ?=r6 zD(~a_9txW+e{IXY`gb;_k1p+19hK3V+!yHBk6tJ2nyHU?@@no#Ltdu3bmM6{D2XMU zHm`pcdTaIdqu1TdCe@e@xMsSqHe@>I)%(f3&Ok1u{d&b6?F`dma!)>xj#Qc}CO=R` zWzl(?pZ}o57K&{%2XrAe#bHVTG%X8H&|+WazXt;*gm*5X^LX@}dqv#WP5~V_M{a1J-=4E;!ryeV7mignSZ$bMZFE-lo3O;b zyGLiqycnJj=^X>zZ~nYZ)c)#=j$#t3!6o9 zexM#i$5(_6f}U;zv{+sCKx3~WW7Z35jfX}qkMkfbowk3QWYYE4$yE3R{^(f4%{{3p zj^u>xP?2iW1$$Hfnn`ni#NejYTP$Ngou!rSXIv<5o6k^dsCPt$vUdqS9hJo_n@#L* z6ZlW}14J-=cKdravHQuxK502(a?+Q!pko>2dX47|=jrQE{hvx~ z*W-bU*wgb1I~D3z*8ywi%P1AljuV|a8{*ueG{1&6xWNm7OtfO;Pk7h4in-cF#nIxX z^JiAk+wxI8N)`(jC^0+UfOS)kTd%l<^MZ|+kfJ{Q9DH3_VMtuRYNtJt{Er%e7biyz z|KIJc>}f$`Roty_%z{u5A{e$no)I zt0p~;>n-jG*a&G$#wU4erhw9b%cBQ~){kgUp8Kzwq*3*U~lTguIFaI!jzG$?nA>(_=rv3^TH9(8&T{=a`cd`JF> z9})Y7zVZ|pDjaQB(QTh%3w{4}GnTPmKB*elAsfW;W>1&s52<^%)V398y*HyyopYwC zbk*rz7HQ+VYfZOll8=2_7lDkv!RxX%A4ZTB-&Rw=S9RKgIVTRv4n)qE71r30xK#0$ z&UuYe9(r%&^~j3<&4Q!&kMWj$=dEwv-XLtD#`K`h`mTpH>&~~EaT7B$r(rB}hgH*5 zM%%SUj}lV9KFzbky;Y#t{IrV?mMW8897f^nK}mI4AhuC>JMKX9VqfzjN@^V7trXZD zkz1dE@VjaB(1DEXJ``CY9I-YnyG6e5;zIlLaRn>mo}GT&B6nm4?s{uUlJ@&8C9#*O z)0rj;N3*@0cggA{_HX>|8Vv&G?#dhTm$U|>;oxICHTvyQUiQxZfoa{*zl^@S*)c#8 z@3KGFXqYdzCFgdE&p>F}8pRDWD_WRI1AO4PE|Uh{{YKqWcMu8EY#hzT zMBd*Y`qOGY98MsI5hfB#s6|Us5?3{Wg>qGw6>`?tcqtc%@lI^qe z<%cDp4JsM>3c4AutCrxH+kH$KA^3^P*ZGP{xJyYGnf!WxzM2?{?-d4A-v0M;R^xox zcH{(XhXBy=*~u08>aLx)LUekN(YIjOhKv_o_>Px!k%|;cGTYfxzhkODoR%h!mCchu zt%=f1C#<=?#`iuFi~W>kzj(!HSp06xCbp3)ORmf;tjc`iDQ#a6FEtA2T1nx~{$FnL zIPhnX8*LUQn~Cwk^&n{0mmyPYYuKPCzRQ?@XN8#;rl9&>ddxBzJEl(j${RdN9)IrC z8IZ`9D;_|0R;rpT9WmqSyo#FY&tqjKG_{y`f}s?4JO+FmJ;F6Dt9pngE-!E9OqUg! zkl|e0;*|^eDwTvp+*iH!u2olbGJKZB^sRkbvlMO8Jcl52As1Em&5jA!%UyW8Zj><7Z;F_lC&h2m|x8tQfg$Ao8&+UEVl-TY=e8XnXNDR z*TBI#&P=F(Lp0Bi`kDt%-2XZ4tY~q=u&ePIdq`!vpxv;E_qB?HPyRaXn8$e;`I!+ zmsPrOPk)>-Z9N%qZqshZ$W@pPTMk@%21en;jePhyBTP@}4Oh=uIVITY@S3s+dz-{r zops{X*cem!PVw%@R$L;TW5J6+BoctDFxYzL|FMy!q}k|RuZ2C=1hX(Gv%61!!4b_dCu z&MW^mf<=u@#2!4ziei4w$Ke7rTwqEFDG`|cp9fYabe~WNe48L+*?U)vy`2w&_x?`t zy!jcpMPzU1czz}JHoraWUsPG_z)DD+k~NPZ-}Kw3jw(D$@Hk!3_OzYWSz0>pEo5UL zw#FqdicPZ4M{%SMy7}Dpx_MugY#p$aQ4N`F?K9>OEpwk0miIV(?gau4_82y*3vm|cWb8ZNI!%bpkxln^3hVy2 z6_GSfdbrG41x#y_`yYQ^_CHgSS5O!j9)6{h%G9rb@Fh#6DT@aF=-+`O*+~K6p z?_~W2B&kvgT+svO#0f->aD`wF;*ba|v-j;{W~2m}0;E(J2XthfHJr;u01?ET=8EI~ z4Dz@M;QU+D+Qt_BzbNmoH)0Kd5%O7kKF8LJ8SjD=9Cx8NMVyz*a#JL{IWn=T)Up2} zuP1G$bLslpYzEwEEJ^IjcqC!W-A|;6ObsSl#+Z8DHqHt%OQC{YghQY*pj`XlZKY14SqEfbx3dm<}H0H0N+ z%PSP%blF5eSGM~oKv8a%;W>r5z>D&qTG3zYfAMiMKEgi$*^O*9dh%F`Jhkr~ziHLy zQ=WPW<%3N7&VKhVBu%h{cm;KzCr@30{A z_<+=fI+8^auy2RcXNBGRLdHVJcI@sO%gf7ua3TB$nc<8K#oOUKJ2eHB82_35+;j#u z-LDi2S!UzkRHN@3TeY-c3C0>-8)E@oSwR5^yX#eZ$L2!~-))*d<5Hk>-7u-7etu=yu-s=)Zo|MKc#=;L{<{8@(@S*<=8b?n}62 znpbxzN`NgJ_qH7I;lBP^ssF~n^^lM*dQaB!r|9w?x{Fj(&(BDVkoCgl$EVW87`d;F zMJj+3Ez|Wx<3!XiTu)a7ez>^67Qg4<%P2d6EG{nQ+}=xRX>P2?gf2S)-P%%Q(XWL= zzt{;3ZBlMrQ;3vfh352|`@@c_Cr1i6{|6U%z>%7o5k=o{ur)>aq7jgLHre{IGL&y$ zqAgqX%m;+X&+-f0jy;a_?78>x3sS~>)pn>r6crEl9FhCC1I^e<6SsHJ#Va;iiwSH3 zgzUVXyL6uN!|8R(uwg^^Hx8^%N@W>+5Xe}3lJN00(q;6k`;!)dA0wOFX>7sv@z#Cx ziy%srOb_yht5b<>_BnaUAN-?47%t|3_5fEkh-U3|>)l~<%SkUu%f*cTlYgwXaX``& z@1x~*zeLp-1oVE?_4OC7RX%_2Pz?yoW~wONNxDjYkHP+|EOsp%*IxI#r+d(>Bk#RJg` zHg>>bgO(7hm(q-KUd76(LLv+mct(cpMPY;csJMsK+y^4=aH2);Wp6DIG+I-^>uW8v zIE4H4_zjJ%--Y*cyu+f+J0B9C$E_pXR(rIb8^p>(aj{{`!`f+YP=ANP8?m;VKyEPz zuygLdOkMgiSoA1g+Ou!ecm=L*@F!Q>*`ZrV^M)cHY^_km9av+C{VrN9H2Teb-k}-R zwMJZ*l$=#snw_^7@QdGmFHZmYcC-+ItcE}>Zi1vSoR-rzWx308IW2N zV3CV7^uR{5L^BQ!4yYeWn-7~Jp9*6G_i<@pEAvIQ`dytKcVWBre9-3cYXzLR3lgI3 zTiZ}F>XT%m=gMB)S`{4M*%@b-_WP_hbafj;+A`aIR0}aEj4yd?U+Nj{nat$TrN^JLZViWsvh>~gVC+B~9$MC1YgZVk>);9BqZLI~WrT#_lXK zD}SWE`*$bdw4#g8yZ_rmu`iGz&_q#$FHSW2e<}#%?vebYF6-z~4 z{;(Vao^8sQ^R$o8eTPb_^WZmf{|AhR+tX>H2M6OKXRtBgt*3_w2BAUPgY+NxBH!3uepO@O z28CF&TlCZcyEx;iCV$z??7dB4tfuPgzCuBpRCmBymY>~p^I&RQ7r&Xid)0_C@RnN$ ztVoEr?wph~b-Z1(!l(ZMapt96Y36ni{tSh;?#*V3mfLWchz!Lf^}Zc&R0);U0#h=u zxb-kmO8FuU(itx!IZZM@g_0t7@+I|D1gDsuq0!I}XxkhB!u)D433~K9XJ(QIJDdt; zpULf(TsVR5^q)qcPdhQ$e``TkD!9ygu^uj=?Qtn7eSm1QPL1W8Cp8}+ICwM%SY|Ua zc~yJLavrhiNR|x^RiU~zoY!tNY|SS$T(n)Kx3)PsVmLXlMEI6hQ_UwrQi6;gIoBlXlXS)&WGf-_PJx|r)_CieO7Mb5wF+;?C`LW zcaeoV0#@^!yLIVWpnBkBc8HD~Th=272CzwncKK-{&xdpKk4l_=SC4j)oM~0r+CB5E z`HrbVGLS?7`CE3?GHIT+EoXLT!t*5q4-lbCv*A0?LLC)SshMrq@HOMhFjt4aT&Y`av9^C3i&#TP_m+{yv@%F&%TM8~;xiYq5Pcrreb zO}w8ue&@qXaP+%lE5||ho3vHjKj=U4`(xCzoiQswkpPHBSP4aY2feXkw}nb#JME81 zb|BzW@GpB)Z*6S>Qd2HnZ}^>ojxcoK2G`J}G2tpSiZ73b;Ikbfy-I7HTCJerA?c$%oWJ;CqQT_T zqy{upOc|EcM;+)F6*LFFixy|K?7iFuMAWhUz3CZsPuO+RqxBx#;qDJN?Sj_;LrvTF zxRLp~PZ(3D{p{}~g;PLHx*&7?F>v3%Wo7Qq@Uu%?wE6-uJ_2DuJV=z9xp+VIu8S}0 z!CY>mYJE_s%@`Uf>y-XEei|^w`_o4GcQue`I8!J{WxL$Yzf7%Ym0w%2GtQg}2kVcP zg1AALM0+ilk2)g;@3;WJ_E+(qhcvGD4RVEv>lcWJV8@M9z zxheS&-50?Ozjj2t&1$$H?XAn!(bd)If#g4emq^Y?Vq0Awg@*%O#Qy)ZPhHzIOK)!n?%g?bH6w_n61|)r}z+daDF?lIoHkBs=h!N=5qkm->TDeHH zIvtkzQoaPx5|Vsn`3FPhpY`;M`w=Iq4;U{Q_hu~nLUyrcSQn?BkY1la+Le~Ju*k!# zIm?%wwovF3^`q$(d&RJBhr>=*f8I{C$;^3N>4HWWP}lDMWjPn(jZ8jTy(j9clOum( z*TStt~vNTv>8RK{X5P`_%?CE}zFZ@ul1LRiG zqWgR7`FI4i4E8p|ukeAAWm$n?NG3!qn=u# z7aw$cA^PbdBq7SaJ?O8vbr@Qaom^YTidEhDSVofn&;?2Dd;mW&x{L#Fw!8~I{?`Nd z>WM-&v>42`HC$o+HZT;&vh_E7$L_m$-`M?y7aML>`ZZ-rA`c zKb?czg(dDM2;q^tkh_43PJbCC(N`msT07QGl4zDE8RBiyJ{F>oHfPk7$4iZ6<3_=4 zc)MXMSRtPj=(2iBjbNF_Q0lYIlxZA{keuE@TZ4v0F_d%P zHz{ELWCf?da5Ru`1hLmNWX6O2I5eYx3%O~6h;PRMsL8JJX`$qIK_Bd{ zICe%z#;twTjE%>J?Tl9I;mRi4wPx9EPIiHUYsLrIEygB|xG8-g9mr9+8&pK>_LfSy z{nq@zrp!2=;;$_?hpVE~%>BQXZRhd21n1oPHVFNDNnmxJ1$BG`Tz$-UM!^O^b_mSi zMnpzd>6N99oQ5vEn_{vU22`&t-G#d?Svla%Wc&x-Mr6*cTMz^2FIqCJD4N8fjk0XEOh+QCCp zMOMG{DEwSi6=1HE-El+x%InE@qwC0&_MMC|*!tP4N?}CQU2njZ(84jMT*X_w-KRX>sn0(_|O} z3F|;na^aCG6CNkpA^@fWa%1qoN3p9#SD_8rtItJIAPV4a=OdPER}b}-ccQTaR}V_E z0C&!H0Fi_DPNwqIix(4`U9d*4b+sMMbOC6GUW?ZPznHI1K?D1SFl{j63i0+&wAWz~72-GNM@I?c#ch{3Ny zyMhO7!+hB&*Oi)YySJ_7>JA3o}Ve@-b13oXS3Xm94ujoVDC zrX&w5K+X6_b&#?ps+1E z-1`PG5dQ`kH>Jlql9uxkeZnTyNVk3pPwMOGXc5t z@qJT7B)dF@8&3JB;C9&;UKT~n80|<~ zCHYD|zl4n(zA}Yy;oQlvIde*uC+Q3XO)}oTxA&43l?H%aP6ij*$co9E9x{Y$c`;HLVf z3^-kwJ$><@!Kh?gB?T<+S&Xa{_ghVUh!V-WdB1>+LG(1#$kYv7RV6q;Id!;s8+pjc_d0d-CHq6-dD?sdh=~f zXwgVKA!ctVc&)WRl1t}F8b)kzi7iW~CQ<$DHr_GO;dP9Lts~cCsuzV_`%-_4Hhwm* zb(+r^&u!GfwB_ArXlSN}Ff>a%oQNK4tLtcH;{r|4Lj%k&8Vhlx9y_2l~>;G;f$y90A(-7-RZ z0*SCgnh}#N;P!kPWrdDdbtG*xMZ0dzxi*3+b9Iye(VWlm+zHnkcI_7MK{Ef#a|4M# z9FrBIA%AdR#m9pemD|7X?gMi~L~ldULnKCG2=MVutE7x!MzyiPbDS&kytT?(#eC(W z6J0osj@+S@Qj8g<=>-c$#L;6@zmNH5-KRTsw=nZ7Yw!98JMqL21Qbubfle68R|dQW12%H+)o1xC5b~XaCi)D`%guL7p>3#WUlI5= z`V#J*FNKE&5DEB4Ji)u~u~d^i6<){zx0kKJL2{8A&9zD=WmPa~^JUUz9sCm*#~_VV zjm?X`6(SQ9V`{1oX44XTxZcQgpO6Ef6T%AEP!ECe@FijapscI`fN6}Euc4Z*59^yZ zfwu6))F`20OHtjlOQ4f1m7=DhAsO(4Ahs{I%dyjXBHlNVL>-fI9+pnK(6AG+b8}}0 z<979L_b#9g7Ld@?WTP53uUpy!sUGv>p0C3X^R?GXl zv|2Df_uuD=9@CiwFsr_1*eD|~KCP>(TWZ*x3`odjOqXcmz71{MPPc2=j91_QqBozX zm6qE6X4($^F)|(z-FJH_x6#%-M#Zi@lZ~IvdN8ZoD+#(w?93)cNtAzC0O5;L0P)5| zVfpzd;7W9BXf;%fB!AH86T}71>M$v)gJt#bj^8G8*uvfqJ<{F*&rnLWP(dwjLa4WS z8_xZwGumj#FHDExiiU(%oSBA&5@Y%xywW6&m z7qCkF);H>U=(lSY5n;EUm%>!F<)-TE_q1V(77Y()Jwd4t}Q$A3#;yfm~3r{j~hz9R27({Y%xjmYpZIE^lmNO z9Ofj=sMz9*1B)k_#&+Ls3Y?RlpB>m6#_UWVt zhzmkv#gLr)aJx)L&!eJ`{C(r9jC{!Z2%*!b>rG3)K&8w#68bLI1<=-fshX03kkIxt zKZ3km$OI04oiZ)9mSYLF)^jzPSaPzXsU}irpGsj!+S@#fx+s##gaSuUB>d5nQmzP) zeppiX`TPNtdgCPTsm(*4advCU)&^I!L~d&gv$Am4@wYQs4sV^VT@4*L0vqW0M?9>P z$y2gLuMW`bhkL2sQ$e`*T@|~}=A*}r>+T%3=yJT-cFxCkjEMW;^{QM zev40;HZRveF;a#?M=WVpv8z4D@yVOcLD4n$DPy{Q8L@$*ImV095ECD=q!QwJ)Vik0v2xWgTw>2wFPV~j*AI& znmj$m!3v-im!rn~MY+zD!&+Ftj#4Ojg=Dpre&_!KO*1*h947~=toY1+7m7BX!)qKT zeJe`zq82OUy0jtF=DjxC2~T}1U5%8P)2oulimI=TkTJy0njK`LY7X>wJmUN0T9@lT zYt79qx`ZT?oo%>^LLotWlC~E5gwZUcB^FJC_;OhSWvY zI}g4z)AtaIR2>=`Gf<)-efE;YpgKu=MQ5Jy2&R3hhAR=)l{aa#yC9qd;rqZ#K54C? z!|J=gpW$fnN3DYls%SR*+y3&f_*0oyd;p$Gbu(OaN_Yt;{982<=Ry=~TVP+){gdtm zAIn^C@k?=+d0Ki>7dEPsry@fPpW3QI&(jV@kP~D$Oco~ zX80p7_S1rvEH~3lu%G{0rvEVqDcvq3AW${Zi=4JxJ;3a9-alV6H>dY--j;CBY_cUV zZm$FQ|92`{6L!v?!`@>pc=2SGK-U8Wiz2!q$_o>kT59SV&wNpUxf_GTXp@|4&e$aVTf$yK%n zBOz!V<>BUEpH_(GyGa`#hJmsp?+!YReu^|sD_o*i;kc_ci^-xofRBX6^UJtLouoWsrI}#N@ ziHr8M0zEFIvOxP7<;^#mQ8KJK`i&AnKX z{J|Z+w{9MdMi<9sjytK{oTvQ;hLzV(N$9w(rP$JR%SfQ?^SZr}*nxjfD`wt@|Lq_6 z(YWSB@M}^WH>vpM^u`DptMb-Gl!)6wpx#`e9e5Uz!ym9o#R03L#1`}~CHc{q?0_!#SE-44FmOeYrwU}**93o9gHL|%`ke3R^3n*!dOM+7`#CO$i?>WxSB{ArKV zzR$(Q1*~ZFp_9L%z%aA~>Ne(Ptg5Xo`;THh z25xME+;2q*mVAc~Y7P;<-{yU8q#I)xCWUtz+IV)G0xT0~W$X{f%Gk;Nn8Fqo;U?Pl|+| z?c7#92UmnHOLicxY$DYh>jV4Iq zFb$6$?{|hf!3>AquB>SNHTRRv&^us=fS1lFV9V}a)p4Sv#Gq8CB^rPT$bdBj#9cIv zfE!??T6HqAE-fy!nyvB0OzN0>cj zqE*DK&P|}$6@6ncSbqe{{8I1TY4lyjM#cLo%1}=(jJQS?5R<_u95D zB9fhONY{!~(hy8QTWLQ&Q+NbI%sB~KYOuTdlKRTcItvVE$7+4m-?GI&397O;s2AP$QOOjp{74DqgKxAy> zmr;S1ya_``in{WEnuw)0554qEIl7JRXroNJbDzSb)=x-_4V?;R8lB|!ay6I*1a2->W_~HOCH_^ z7MFidj#@Xw(!A4i-?Dzikj7^`JgmgLcV=&6X|9}IKdcvE`MS8oc=$E9c51RAhR*Ej z;o(aLpE+HfIgKD>XAiY;XE}{~vaQk82;IG0saWDQXK7KfgiBTA$%eeHl|K<}k0S;q zII5J*bmCPKOX@=Er4C3o*ty}6Xf1gUOZsLX(WcPDdbWht{{B){t(R}X2X#=E;A-xW z`Jxj3PT!1!Sc?&jlV|IqfAHteSBs8m#8f1MviNTBW`fgB!y~SZEho-&tOJ)RzEoD^ zV}ff_Dbe89u!BNU<3TWm(QpEPYcKQ&8Pw%q_NeY@nStc{^NkmldVV>X(T}J?m7jkS zc;ZadMOb=@y4n@fYaF-R8RZ9l=BB3Ca2}SvBxZiMa!gFan**98W+IU2VnSnbFjY>I)NTA( zlwQSi%@KIpvP5apx;zDci!XVF_$lX+*o|O%epMHxe&wT_u$o@osj9$`0BLgI2D4v2 zO)!q>NMnlfyNsB*7Tfk8(R8SXftJ-Sccg?$MMr%RveylOVW9WfI8h6-yTDp58iBo- ziBwritHuMHb|1%kX+Qh^>9_WGE}Yl7OWGJ|KT7;HIO&aiUWbC4(IT=}Sv|)!j;xk0 zm{O7Yh7e?{7+M>Z?niAb2Y?k(>@g?+PkyA{jQw5A^pe&Q&*B0zQW#N1$u4qZF*s|4 z<{)7bUP}*b-maA9zXRLNil$49IpMM!I`)9eVuBpVdD7rTIEeUq*wV`sh!F3+%!vKkCTmFP)Bd>W3b~UGtJwK1*bK6g9cR zH;+^oUvnWYN)-8GjGJ~4qOXnqFsvNzjbWIob<%OkWduPr{*zFTr;Zkr@wIKjG#>~P zyxOW;U5Ax8=(2a+eDn4^o_)n{xTA$OHm zCkr|7)e}Juq|KlXr^uEe>~B!e^Yrv|lw;pkJUqPfn;QFOLVwH1@a)s)7(*?DSg!_| z12X+i+VJqN*s^C2EZN!)zXJ2V2JgClOgsK5Y(X(DvWf<};BN~;)JK=f#xCX5i|1^{ z24>Y1`2krV2`v6B33}-dFG~!8N=>-b!2O&p@y5X3XP?Zz<;J>x(Q`@c4tbGUgeON& zNqIV9sUNe!uHJVw7ub!yu+A)x{5Yb%nO&Iu2_s43K78E#cjfRxjpzA3Q`xcexJT$W zuk*H)iw{DAM-xbfit{%>NP12A(5=6_xemuha7VP(E_T(PUFFvLPg@0(@VdM}gN$FL zZ7GA6;xC|t(20#Vy%syT6@YnLYzv9*O$Qpq>Y0ae%agudlZU#PgpfG^3FDx4;7m6lu3J@;l`8`0#XWca z6V90~c(@2CCPx24E0owwzf8vI_ykzTJ}+4cu9ywkP|11zv?i{Hhoqjv8f_2f*eqJO zpgBvj15fU)iSiIaJTRD3j|A0S##EQXNA;9F z)cy?td$Ite4QXN4a)d5ZV_V`x5m_K1db|W~snp{l!64Xv;_n#h8qOEgqhb;At%xu<70~ zGQ|~@JrT*iPt4$Fdw$0BGDH$%?(jY52yDerZg-|A?!&8D{^=S^DaBS|JTZ#&{kKc&e(pWriG>)*aLeTg&-VAI&ay58k^1DgLGo>L{!p z8HKw|?Fp-@YKDzi=G$t#)6B^g0JxEM#d(~6&Ai&j&?=Bq0c4x?F5LqQH5*w8C)X2W zSZkgOF3kvyt25yS6FK3P0Kt^Lqlf=4XK;!?TMQxSo$u$G)l^&k!KT{ZQMJGSP{ozS z+O@*%(q2|VZH^kZ-s~lDqDfP<6izas{5L+(%nlmM@oH0H09;N)vNo5r16S)GTcji% z{F1rxs2-=MYfm6-j7 ze>WT__dDo#Nnr4oz5TwEF2g>kYuqpF3=l2K$Q%Bd^+iD5iYA%QsHQT+1+Hn%K~4EH zYp$I|j>OIe3n#Ld8;~KE2unim+1}uZ9q=SJeG@FHYWZl8!S}Eb8;S1jZVJ_(Jfsfp z&q{weVq+HPoH+W+oezhKq)Eu^dV$(z!_8{CW?6=s8xU`nz!F6oqJ{i0lyqLj zF396VvT)Z}&QzY@o58LxLUvV*2$-KVw^1Ac!mt>pw5oZ;>@)MK^sjg?4PolNm=We{ z29z^eE@}J@!=}6@Jo&~n`aoS^S?3}hH@uc%T zKVJr8moBh%k}CR>`0^Pr@G}H|%)O>e=G2WMjA9xHPUbQ)*dBOV9nNz+ynN8xiee1Q zq4X4gMLJacl5lJ7{b#s&AC`Fo9VoTvDhj?&^ROZ)7&YFqgia3T>&Ge(oqcF#U~;h% zczS&32~1V_K9$vz%Oq=zU)n#_15a>xUvY{J>2#}lLgkf|=qGqwST@;vCG3wW@^XSm zCCorm?NI6Nx8s>ZubGz)7vSLe{O?|M)d(BBAY8YI*f4VqkZU&GWvn<~JIM=_X_$_| zJ-MB^7wg@sssesZUX-qb<%}+->iKqs!P)XU(-xD4eUCbe&%n5u%1C)Kr zJ%~ChMsDC-Fx@5MtxuGUNsGv45M9vF1Slh3ad8w9n+@x(1dojyVPe?(y`}oSa*wm> z^OZQdYB~q&yEei#hq;4B3t&eQ;3Ho!6!IJ}D7)vGm^|DrL}jmhlm#3m1nH4xV|Dwr zTNi?Y=d(qM^SM`vOP--2zujH9A2sx{N#k&$|GIsCpVtI{^lhTmxcB?x|st|?;XS@G2(}-bPzob_&8Na8S zPyZ1G(fJPB`CU4Zf~b88<}J9fy*75|xWHTMYAUGY5h(GU?Ni@gebtpoM$K6p$;m=2 zFCaUD%Xg5q^*eVl12GjsSWngQx~$AZ;z2n|2K8-9NW}g!*lffSC_Pe~C#mVbHWw!K zHhK0&vFB8FEBPcD@MCh$Hg&4bXP^pTl3p)#y+DFfhh+|wF+XUA+{4o)t)1R*UR?=A z42ft&Gv!xKQLC3?Qg)+!#S7ttC%Y`*(yKRDhUC8z&*@F#2t;C}!%>GHEYO?sH%@06 z$kuwS4O-uS)y<1-HxB$r=3w%Wsu^0*KhR&5=Z%>uATncgS3gs?;e`GhE|euf5JK$_ zxY#{^A>4VbALK4=Dj@2KA-~9F(f);zJu>OZhmYHGcoliIViii}x%=S`Ab`(;9+5r= zReb{cg*nxUCV@6i7{>=-r?Y)jiqpSd+9#7KXASUTZ5uoE=S%7bnQk}FfOA~JN0V|( zGemLTT*ET~pGu{U&;59pm;G#6-T3&rv}6xsZ_y3G?0+^uih?DR1io5I%^91`TdDH~ z(z@5<;vlq!1<2y`Fy+EDmco_QBCKQ*aha5&y`YF`^N}lI@y1d`c}vSH}y4*}4kn z-A2EsqvNbwlmf_dpAohy6YUs!;F!^Cd^OrKYmF|h$t(k6o{|!8*`nt@>M*#GFaHHmO7uE(NSYwLAqbU#UD%Y~T9u?J0J-@c!F$ ze5iZ7aaxMok$BR;LPhBGc)-Yv&g5X3m3S{U#n|(|=6uyxE(>nEY0c^%hX%vN2Zn6E z6{tW)fmdR-02u4uh!H-m03jpkv%IM=)3zYqJfqCm{(mvO+K1dQ9sm6P8@^x%2YkVK zroEg`ieksd@dr%vB{ti?6h?+t_{Vu=T}P$ZI`(b3PA(H40H345C3b2*CVOm#2h3+Y z*B#aZj_iKp^nA{ZJSU%n^c0`lSP~b4Sr^|@_Yh&fOB)9a=bJf|iFx8t;Id&Kre|th zhiKWWr~#?GvMP4Tda?3v7O&g+Dg!Xu=7?whm)5V!4I@B(6ark2Hv#XSSx zyLTuosgr+0=tYO)Ls)f3HC|KxEWeZyPa*SV7WY3V>8Qtf^u84cLcC)WLsVr+(0G2uN6@Te;|;q7C-_AzscN`lrjD_er!X- z_V;)RX*n0YGC0O-54;tA3~(g&QWVd#YL}uKAQ=l(V)!>VR)S7>J2_6eS_{YCcwlGW zS=uvph25xd-Ia(p9NkPdK72RxL);xItl++u_j}T5pOMo40RcZ;5|H2DVzdRq2@Y>| z)cx2eXHyp8*A8phX7*C&ZjQrz+Z6J(?=)^OcHVe9qF{7$g`ccf69gjOJ^YA+ zE?tvU41|X`So}``hYL=&2RLGi-TH7&4A~32z619;UvU?>%>VI1UCQ~?`G;`1)7}Dz z4qs^8--??EJEmUZvW{Qqrx`!c#UFy@7jE=MyZ;sJA;XM!lE z6NQz3`a?L^U51a%##x}wCmzzg!r>7L@oDE9)vI4&UIc0@_bc?*@}dT3_kws@gFKbl z&=ykNG)1~QL&BMF9KXJtmmNg5bs|&`MIHx?fZSP1WPq1`DHdjSG^b?*)B}`}D;QPz z^ZUp}=Y7dm;6)h!5>*oW$ez=ecy6z*`Lekye((QgC6pb%)4b1%3H&}V{b{y3QL++= z82^24&s=eCQj^XF2obNVv`Bl3`L4l@LIy3eT9K?m>Cc~hCWq{mFOj)wj$Jp+ihW*$d``bdDzAwOsoqtMTk*$3qh}@Yfi1Oe;L$3{S78(hb;H;kw zr1C5PJcWUCocA5N=gAF8QA)_acw%u7U#MG!z^@GU!0$g|=Uy2X(RTqQ!$WBfXMaX) zKs?{WB`&1ukS>Rl5Q}J7{&f|VQ(VTpPjr9~D(j@$%I8Ar;a>fy5ob#vpY%`EB2d*c zl-iiMpz4bIct_DjOVM_T+f;rv_xNuEnrDr2`?ZxmB1a=V+u$jI2SaguwluBO(hDod7x;5n1iZ##F~%o&&|f98ur`OhG}ydFQz8vK>{7X5kXv!KE~7Ry+cfbsH84zFGU0uL|& zr{l%yJ%fq6x|aV|74M}}IEhm@rg2)q7*FL;)Iue3&1A%+&7a?2$TweC z@fnEGTjXG*c_P-lBbQ#xOEk2+rRq?26h1=cd))!5^ znqyhfL-5rcg0}56;pM}*K5MR3=8IM5h3eEIAXx~|geSUfEIj77R{i*-AExs=AsR|P z1Rl$jQE#PCnq(|HUU$|#F6-b%#w4SBpTQ}66L`SJd?-P`MIGt4&KH`*DD2cPD!%wh zR{g)+{F9Zmh1K&}XWwQtk?1syq|1wdJn{qAavV^6N{@WiEwP>6^~uIc<5kd}XjcV- zjk#dO`$dYVSTwg+Thkcl!eKk(+gNZl6Jz>oPMpOM<#OL!`@`$I$EP3itFPd;;Cb}% zCw>c!wk1*m@CD>)AIY=bFn%tsp~kR9b?$;JyO{Ran|2n8faV*vgocx8kn<=xY@BG{ z^mNMOB*~kBOm%UL8Q4!{g{A*(unC66LLSp=JewlCOPiss1^))b4@JKhqg&{XehphI zX{-kux21NGfk2u46Yu_Mg@z=QizL=K-H1Di?toB8od?+j465q^TOe}@lg5-z*CPm@ z#8zQl^O%j^#NY<3t_sL4izhd| zp$|g_LL@xCSb~&|WPzfVh(h#H334THxsJ+EettQ}_7mEY`AVy_ExGBfqu@rI(V3KN zkl~{9pyaL`xFkz3VH~dgd`Xlfru7;nrhW4hqXq`&f2MJSkFCdhPa#=wg?;sB0>#If z>Brh(;D`_YQsMX+SDVzst3rbIFYM@HSe?IhG>xBPU}bbE!Oc-P{j{#-JAp)LnzxAZ zKMFY#$m5VHdGl=^kl_5+&f5)&X-FvNu_H&Pd}ZvH0D-Ic{@(e{^9hKFh@Jb`2u|A4 z_8x)JmYXk^LZ15m6VJ3?Q@R?7kkkKKPiG;IKHH||_TC8}1CpYDqJASGXiE}^`#f-H zhNOXCXF%&HCU8Iqj|OD^lwPv4As&&5X*@=WY2N(guK*h+ZC!rN7T`~uP)~}T&Xr1` zx=Bf-D~MIg=XtzH=9Cw;*EAY=)iP8|61y5Nt0Jvn%YcCwb8K1#6u3n=k}53tIX2-C z_T{?}MgUmN@B%3}u26`xQ7w-Bc(PoVIIqYN>|dX|U^L@4x=n5eLkaW`_|P*X^GV)Q zO{Uu}97AQj;d>R<vDmIMTE7J;`e5toiPIQ8>vyc&H>|z`V zHkg$E&B%zeFWr$hl@~;{JMReJ!VG@vD z7(Yk6qZ9EooyQe)7dQX#gcGIP6xpeeOvV#~{}kdeh4cr_^rDFSU!p;gcQ;vfYffSh z;GLt#RJ#YS_Z!Kh#|etIQ>^yNcS5{1@V$uc%6W?=c}lLlKo{l<%#0#1EY%Y-f1}i$ z&86@QM`E)nSw>tuP%Kve;X<*(u6pMXxX>eTA$rYsvAyUO9D1i?ww5r?z?`_LQ3YeW z!VH)c&-*+dITDn+BqfDLV=EoY5uDZmp30KK`ub$*Sdn-3s8JRX?dm zYnc(g?=d*pE2~`icP$Q$AC)oAo-SGEi%8WAr3B-aF4d(VI((!Nre6G`u$}gSGP7sO z2TdjMp3k56_SwBzyT8fPA-ms4hSTCFOy#Ds1^2UFD2&zdf~F>yHw$VZTbNOFsGcbX zM-d%KiuLalSoD0caYj9b1gYQeuP-wjZHIAtZeQ-G076O1JH2}a92WaRiynKCJX5vL zzws1nM60y3Z2`?8AZ;=I#hSM8H(R%k9Y#;Z%cUtcF@P$N53Wtvjw(|eTo1or3H51tlOTl)KbeuF{^nPVQV0*GSq{1 zCj`U(Ev5x^<{ndj_x z{uTd(`1tqRBN?GE_=u-1ve#>6>c%3MSmRRIhdvwZ!qBgl zE%`+akZDFH=f^07(Qaom@QGY@9XF2sHCHs|z?YPDb6{3@u-<%#%(8qK;|1`8deLv( zj)D6c`}ol63o-TU&8;>vvY8cEk+)D0sSk~xVF}&qpntP2=-_dcXD^#QWaV2@O!;B} zOwRBbrPkDkJCl&d!?-2$pWnCV`D}OioFApfIGnak6)mY34%!)IjVdWN_)0AghkF8I z=JqOCt7f-87ZZ}Ey;C5Kg^L2*1L6V*Ad$fdJ0wo^3x4!Z^hjB$(s&t z#P0Ak@mR>tH@`t}Jy*f>V$^A0F6U)c@!ksCVPgzoe$_~d!)4Mr_cMgR=I^e_d}n|T z_f%&Kgy8I7-dL5nBPxD#8u+p40~(|eZ7auuu76ERMyossUfvv2T+Boscx}SB;_oIC zP28g_jOd=NGOGdW=>Z1q5OMHGUEgEM+zRVz%Gi$cnk4-OqwB?i`q%aCY*`hHLnjZK zx^s2)2u&Cf@+U28D6Ycr%TF-jz1QLr4nr<9@q3|tk$-XmKVuRcf^g43<Q$rX@3rtG3M)+(R?GL&-=~!yG@-I3U(t}vK(2PTS;G0j zKgv<~wiqs{C3Yb;Xk-SZy4HK)MAT2WcU^kE?@PnN; z51o0AYWdId`+h~m`F5wi!og1Z{&1EM6Q#4g6U}j1bU?bFKMmTtqU%;ZaTI z3+?n@NbC8$)+mb@mcb4i=nfPm{CQW?^K&PDzQqminz01d^4I|FY`-8|2FR!ULV7$t zZeR_Nj}6l;wOq>f&lqdAbcW8!ZCy9mm|)D2)bJD8^TxliMhNQrG;VF)nfgbrKz6@b zDm}Sotma!%>9MJYtdLst7lja`EvxUBr=7K|MbW;;H*v&%53NGpk3Gbfal$_@l1>qB zDYqJ9n|?(U^@f!FieHWnLGO^HfJ*#4-A}B&C@Q z?+&gqLL_k`PCl?a>#5*;M03Qidnrhp_Zkv&%rD$eElX_kjcSAx$ymN=H6U()99Z~rzN29?djKGR zz0(H%L!cc%1gNPYtjhg5|UTL?Q%AIF}#{{GQ7HwZ=%q& zj3Dy3hDMlDE>c$2WP480Aqcwpt$J*gM8D6u_+^4N7)vG{D6Fm(3@am4!ujp=s;C^`R@%4huK088%@NJHJu(CFY=C|md5YCqsXVEsV2X2 zlk{9of$ARLgi+NT&^M_|E)SB_uRt;sep}ZYR%bvri@$rWk12YSl+hs;={J+%FQV719ko8!ar1o&RgJ1h3z zLmD;+g-8{F2YYELvN-fWg8v4++i42P)M{y%qDdzqaLu_KH_C2V-PadpU#Waq zpL5GcBLBeM&%Z<;i6L287(=AK9g`6SSJhG~g;O-0&7-fT{0VBaHouFyel+e5ntJxW zL!?2ry7A9|t3{AxH)YFTcUrz<2-e~bn$pKVSVrn}_yAQ{)h?s=NdI9@bhf)(i^~3=@rhqw>j)(xdfm7yeESvtwz~gy5sGx&oCqaj$i-w579EC zzrOvZLSkio{b5j8Hf=rE8G-eona>q%42k6@Oxx1ZX;C4~>8>|)frn?w*Qq~s($H}5 zCTY*DcS9{&`+m{>JW9voVR%CP=$XFv79~Y)Ma^+;|5x1QIdXv`c^{3|1+59|zsqepK%roPH%`4(cxT)(-M`Xhjy5e;Bsksf^-;51g z^{)W6?fmYQHC*)v&LCgE@7hIq=Dzu&b1s`G4&^^YOnGW~uPw{p>3zPtxHq_shQXmA zg3E82UC^Mh&+wXvtp4@(Iu%pj|EQy;N7Q|Dj_a|cmo@nF?R3CLo>(b$6;?g7dYibn zN#@otV-kU3ZC4_;cZ&oD7<)UU>pI%&#$moiM~6+ZE8Rs3t9xarW-Hy4^bDuZ7f8UK zg6W*oCIQ;pIn-U@nB5-B#`<`9uRqu7=S`z?*z|7pQsBlHY3~U9 z>CUj44K=M)QU8wJIP%*l{j4ZF9zzn%h|9z-3#W1i%!zIRW1AoA0=^30N=qI3YyFK6 z6r+wzZ*Zwy*M4ja)pR=3*+`lW&Vh+SDZPEF~zvuyWOct`_g7)|@xC)G zj?g6Oh9B{bDBP9^%u^D$?v|x!;;8T!2Cs-NuzuLXjcxwuF9lh;C7iP0aOgYZJo+w4 zI|`DdjoHP`ggE`XP!hDcFUq^;`rZ@Z586A5{+^Y8xEEV1noqT-?#Tkh7dEw%8oIvc zlf+(Ixlgu{^T7G<={M+M@f;~V{H5R+H%Zf+R9C7xt49pJX8$_y6aUhHa(A;%mZ*+b z*{-qsm)>QCMe9_VU85+ZGNJ7D&gp~MikY#)Z58JZ&752}B16=pG*jg#nQ6RKWYZZY z9V4#9ywZ~aSGw&<9z6|)?&MrTwd}@qc{dRoBvd|IO*4O9vaq@CpD|L$7ppl{UD-sY zfMmrnPz|sDrTB7SEABJQ<{X)tL3ep;z*>YG$a%g zx%5uQ#UnF1OLxe>tvT?cPWZ3`9xCL8Vs2C(@s5(x;>ZadZU%vOESPjgY--F>JjCk`E;S z_`>NxWDOhestYbBmLLAXBpWMM85~rUX5G_grf%HCNHA8$__IZTnYOE6{Rh-6;~4Z~cLL%S2hb9n z)9cIvxT|Tz@~wow^&a^lDmS#}Whc5yzHwiJ@Tt_5k?+3F7{7KgT-~l1$M}6QzUuFd zCOf{54M6O`e|PA8d_KoH_C*_#I%H|sBVPZ@hP2f=ln8|yABB2`*}u?~cs-IEV7!_d%6%iyi-%OrkWz6V@Ot%$Sv*t*H;G zk}x{-Irw4Ph=3|cBCyLbXR8lnZ3_KXB)f-uV<`Eo$KYCXYROA48W$_4_2ETKly4%Su<`y2w>||wo<@+D*+JN|Ik_ZyX$^* znp&TyJ6Y7E-NvQ;X7%5CZ5rEJ)ahmi7Rv5^wO>zoTPfI*{R+9&ol`A-Y4P29^JewH za2dj#sE*?_*mhauwZM@)Xe%-8%EZHYn^VOZmeoQVB0H^%A!cH5e+Btrx=SQwyNT33KhhnQS%e(jVjwN=iHHJ9xu}Yn_qVs|-C!PF>aJ%SoU% zTg+qu0g}-ZC!FZ|K3NeWS~@yFDNQD!-u~+`+YaCj4TAcMMQ)A{6`CrdZ5UfDYKsnc z!aiq%c;IV+`Tc+}4)Kim==^EOeV0_1+sKAqQ^c8Okz)GOCjCiNbot=h_>aN7WDlP$ zz8$9HM|gZOxA%%ku;&X5WI_#MVYpOLJ6P}E9Hzkx|4N85lc~XQlO`Y??lX;Zu#(kd z_DvT;lO_XvDTGL~Egv;go)A1{wP@1-75 z5_WuvlP}A^vGRid>TF>f+1=3ngCkz!QSZ&D*jnO6Axw2!S_;R-pgg2%(l2AhVZFP! z>qNOL)1j;VZvW7GjNst+M$HPd>*~dtl%E)KDB%2=($zCKF0RyBe=PH0mFN~_qSWD! z6ewmYn1996o33oIiN;SLqRa<8_fJkjWE-};#IQL2)L0oj5XmY((31vRmzz-Z&Bgg< z*0~*n6FY8@^sLywI@#THR%z{)b#Lji<$UN+ew?lM-fkjJvlKT;!De(;`XT)L(9&)L zX2XX!N9HSMSy#X5+HW;v+V%^!>ed@dTc2U~(}9 zV4#83DCRdnB<69nOJ|B=(X_w1r#5`n2x4- zB8Kt6pKjqUJ8a3mk5Xdc4=!Br2z4P!>U1P}fnzhb?BZkLXVW94Z@a9jk=-K2!ntM% z1&Z+#TJyhmnRS~aONW6kJ(*J{1`wmib9l}kt?SPOc4o)6TNS-Q=i%#(2Yw6otUSNu zNWe#ziB~+6w0G)?7rz_w)3%!Pe5jj-K73}rzJju<9=MNw@K(`HdI(iSVCU0?MZFNT z)fDl$IZZqc8i7Wsq#dXOdPU0^;Nc$I!@M(AOGBVkfoi2sBSo z^Xqg!yz3oHA&s`udeHnvhZuHmY#{aBAgPNf1b?xa+Ag+j2ZA3Rnr$1I=kSZ5iPNg3 zpUDh(mWi#^r$cKqoA$e!ou=o6yjKS@oev|xR?!>_>eV(ha}3cjaXj5MlvyEy#V;e#M`-ot=#L)+<^e&D3DSnn+Vt`9I$|b6?uUaW7n;sL z&(f+bwPxfva+Ud8qet{_(x(so<0x505Xu(P_qm>k|K=5Yl#`Wx`#)pEFn^oe%`xL> z_#T&4U)6=cgt+n$#4N0Sm75yCq}T%s>Z1Qk%UN8++6IFm89uSn|sUJ64{I1V1yYsz>u83MJ#Kczgq0#VzS8de8)&h ztD&N_v3_a)@XLr-Rf{ESs?$lOd=LZRhtQ?L{o4IibCFH(TlC|14+b7duM9ygwS-3P zMD6j|c+T;-bQ{NN11o*`QEn+BV6COgg%M&E2jnp zTncy>F4(O|32)om)!S=b&zYg0h?%;Vi(S!69&*W5K-Lt$n+~XFFopkgi+V3Jx(RxD zK?QUQXWD!QD$=gkSz`Z3>Y|d3f|18wirh|0scPJGFOb!(F?p zKPRCZNx}s^OX!+7b+*>if&A<<5>w{LN&>Npohy~8#9sc6`PuJ)VSUvfNaR&=)9h(6 zE+ML6LmH|(pzrIhhOXV#NZ>v>=9mOrHE8M-Z?6{gET7-^L!SwIZZYBpPIm61&x)__ z1?QQw2xdpZT~sdyPfCoudqyUYh-nJSlRTOtDNqH?o48GN_UfSL;8(cgA06GNu%j2E zF1hD4;byrC-o)ZbVGbey>MsD+SFd8Ij(591w4LpLK#14NrohXlaPQYL^nAvWGidZ0 z*bKD%j(mQ>M}B`gwh+4z5Ls!erdZyYSXj(&m#_SD-G}l)A~K0T?_25T1iLHI<}P1W z{J4e{$jth3G&;ZGe0Tng%Vo@sje&UryG_GkVVa^0xE}oHHawhyWDU$fVsU^qck^ke zL|0ni#jAK(pq7BoY|tEOOk|urPu-^{Tpke907~@b??;Y{9YyD9mA@=FoEAIA=}4HZ z#X%pmttEksXu|}(Tht0|_iD#GQ^-L9jE^blaLXZ8qNu#MxjU5avNhr8TX9hMvV38{ z5PAL-WFuLz;_svGtoU$@SV;bDS%!H;>_ZJ7owYzjQJXy(;u!C3P#ds&au_RDuP zTy6qRL{kecHvM7TU{C@C3CDQg=U&L^)&42J&)J!IDih5GpCN7O)c4QM<>>qtoj*A$ z{8q*MZmu*%JRcbM?1;Rxe{h0CfR0QxeIGc7Tk>UTfDdH4^l>M#7dd+t<*)M_Z0&*X zC&>}6H+z~1p*dKB@5}IYy3^dVdw(xkdF1kOA5Sql^i{46{_vIoBKT#J$s)f?Ygb%%>=2*J9EG- z<{Q}%B-H7l377P7@q@eSgdt$B$i!IfzaG$6WlL2fwv(i(#85G6^MPz#rVpIWzu!ZafLL9*U0-8qq!X2xUFSDGD;=9GDw4WkH@N46d(aZpqHff zln|jd1feE`uJp*zea@t$nH+=$&tku~SZI1eSp*|K5f!^Ii7^ZtU(82L=cV$iGqcb; zWIKM-h1s#$4mv!V2^b)ZAti-@Ct~O*C(5A^e|4Z+540+6I|Jg@*jO|^OnTx(M zLWs+CybQwZ70w7&95sxC7fI&jU;6T-%Zq$hPC6j8O!{xcJg4!?xqEK=bJK+2HijU zlqMAP+j)177^=kX+j6lA&9=0gjPv_ zf97iDV*V|gZreO&%+7Ba%PAP_{Fq>5n!RmtaoT-0To(rD zjnfNHXMGRBo_x?j13Y92zqIp7vf%sp#7aDS|DdV#DNrR7td-W-fFk58zO(xm=#pt! zeUhGv9T-*HzQ%7)w?N=6WB-fgDmz6XPV zW(p^tb0Ud{g%VssrUzH{#o8;STj>|^pZ-nY_b@S7Do=D;|I#~V7E^2uPH(y-C+9)H zdP14MBnb*j~Ogg2J;vKtdvuL}JaLFFe960PQK)Kp3cz0>4NZ?}=40n>XV)fQA& z#?~COCrFvG5s`=TMlDF3dr|)B?ol9($p4kp4z6A-{EpLZ^~|~gFXqUQjo{x-0O-H? zdtG>-o05B4Y|0T6y5!C~`)iIXiDG_lSDJ&`8&HP~iL5NJGzO4P#`u4p5Y=e?bqPWDVlst zVWYFvvN-B`js;hkzXXtrCt)+5Mo$`=7IhRk9W{6xS23{$%FXx?Yc`)KN<}k1jWA@< zg8ay1I!IV;a^R@=ha8=QTg&}Yd;!aGkbsH>8osJ zH~S;Q;(4PBHa&S+?DHbDb~!H;9d|HN#KQN$mHb8xQ#9=#PC%#&WlN9YYjI=feh;rr z?xYSj_l2ZC2zG5NQ3L7ldIdm@=0t!s5~zpP9j}D0f6ePfuWW z1%H~@6IR1|>5yu^AfHIxMjs1itTXLXR`;hEZUZUM2;e-L?3C9*k{sFro%k&rI9syS{#? zGI^!0uKtwb8@3-_uDUf%UwK$U#7w4UYoGxZ5I0?$g1tHoNPL`;&i62lwLv#R3TdCq z2Najkbj?PCy16oRqse#PI28Ue|9L3i=QN7<1Op64e!RG>OlQ@~?=||@(o$f1m~OcA zYprREW=XtWZK-4SB7Gau(tp`%w&tzl+p#UElflzew>e$Qjs1`v`rG_d?lJ$#GAFW| z_fXj3YqH);K8KU*CgSjm(p>@2!rAlsdc1G5ZCovMb~9l4It^~;ju06xY~DSEUi^4T zuMoNZkR|8PAf<1*t=eaZi0aa&&rJubOcCr9!Ma;gu3NiZdjszH^dRN;$N0m%3?H-w zxD#)!qzi_n+w}ND+w(s6skQ)twuB& z=&@Ks1`11vB6IwUeG79hJl}|nmues1HSPuMDcv1#NVYa{(=ILaulL{Ya$MiICqq1g z)>u0Giy45u5>H(I)|QY(VXtfq1_PZ ztL1-ke#m5S3fHF>u3oU!SYZyje*DXv1lz|WO0d}dw@LobwEh2`>DY{%Z>C+J2f#d? z6NkL>{eKOh|NSoj|9~|Sv*RLgl-p0{{Emd?7|^CYxB|broAepuC6ZN<5oBCB)jN$yN_(j^gnNXlpA~sng1O- zXd|{dz}mJ33Uh$3>klBH!bA-lC*=f|@@`O5yhV>y6j19b=r&^r4~$lywB%vPW-R~f z0m89*isQWPZqBi^%MH2hHMS*0uV|| z|GLi6pYSVVQ_qz|7)r_Ve6=7Sz5mKLibGrKI5`X{V^{*=C@nD>Rw+qibnY1rHY*_| zTdEv^r$2~jYiQt5-e@8e``-4FoAs5Fk3}O|5HunFGUbAyb7yR&mM*v{ho9cgC9}9N zGP?OPy+%`5`GptynSzqgRw>e?QhL0PVoV57P?&`S{6zfl`y;itwNh@yRo zYT{+!QS0I2x_HBl;s>erv4bqjB#yME^)O$yNYl;xKGW6RTKm&>*x|LCXv{$fHuv}} zXA&sEc9Mr)B%_VI={%B`x-mw?+#e4UM!Hn zF4q?Se|&XDlT^mG#WyxCkD_m_w-$@}l=U9PRO_U;WAM+2!EmYEIqNh!8&yZYcev&` zb=x|KQjVSsdUz;Qr3#K1Q{XTaVw#=sBq;@4M( zz1mZ%*xNZZL?mKRXdlkaSzZ`0>6$gJD4K<*?-76|a`kB}UmEhqalA-z^Qow|k2c2y z(sDt#29QP(`)wssYgaG(F$^;&l4{Cp5`>;26yRNOz~ZN!CKB8rCR*9 zvs|S9caGUUC+~Dw@K8`txVX4Rp-^b`$Wy62D65$~J$;%Opl0>wc45YhQ53UR?D6eA z^a?=?nYmK&Em{Hcc5YK+Q5X(AY=@o@-~D)Er3Xb{2H9O;A@HMMzTizcO-Im za89b!5>l2CUNuJxmU)h6!<#bQO&sY@#&z+BU;3!LHlyA!nd%}fBsq7Xk%w}IpugW+ zov55CqWk8Do5Zb+MYUNF3oPaGYR!1a;>Xjq1DSNc+$?oQ+26}pdp~XO+1WzXD^Ie$ z55QKT8o2PO>gz9_Zf+Ol96*a&TeG{OQsSOpANoJaQpA6pt+8y0<=-u@t~$mD##cGJ zf@}x%U4O!!`xD_tt)-RlVB|VA4`&3LvQcxqL3?(5cKl7K27@92y9J4wUGyF`0!sIC zyyqV_AS~~eoL$gYh@XsFo*bZ^us84F(k%FS5U4AEd>k?5HSn;vVW8g zh!JT7@+z^O2qWSbl>{ZLp;o_w=i3qEDHD@)4@>#ogl&p8)0+manUPkdgElH+;WaLqTN}(OJ#rb}n^V&)L#xhUW#^u4ePdOKST3rW z84BmH2aZ32ig}~Ey*6TE$mpJ5n1g%Mzv&0Bw2)1#;MAr6a^y(m8PNvHr@Jl8VPQ{m zrj2#pLA#WsT~>k5RhaI$oLC(ZR&vMq|FUOy!tZ2>b% zQc5H8jtc}I9I-Xre5gD}E4x+u>cZ};EoG&sQCGak5(mkcGtE0=xkHbgz`LH_d{V7h8QyLBv&AncRsG&3vDDiDJ37O z^XJht+eyq|oi2YB)DSLV!-*WC=xT7f^9r2F!H^9Hat9lXPEdd^o#$2YLU^V{s$l1> zawflbPHAd)&?V_;;McG>=edli*sI|-MIf}8dOoYy_oE|uKvm0hLm*rjEA}Q{Tf^BQqQCwJAz+tkgo*`w&=Io4=ifk5T|MD+!fMb0q+5 zc*_KhtZ@A-$McK6WF&ll}*ld6#5 zsp!%fw$d*Am;$JR^_#Ah(|1-R7G5v&b6=`E8gXct2r>f@8@Tpiz5AZ@jr4ahu8~p{ z8~)lnedD%QphQ)?MAfTNHp2I8`0tf*oTU~;aUpM~#i?pEkV}cwkCB^huT1_Zs#tG7 zpkm{JYmyRotQ*H9D6}NU6rP^fK(=y}%31BipM*%IdT<#-`vuiXpSnYk<10l?ZL^7xgP>itt=8a-j?ih=)BkvoPu;q(Ny| z5$NxHab1~vaRugv}gHBx5$`B-IV*uJxQnX%EwA4mNGfD+9fJ*pp}d|TQ*F$ z2dnbti*~Tg85W`Th}ifG7`n(TmBUHCeeaJ-dOB5hh5s0ZkTY!Z1|N*a)TA^0vsC z3eS}j+kFdhqFBG>-s=kF8(i2_r|}jIx<}m!5_jhv^MmV_V-jgH&lsmO=WfsRGg7!Epr-1T~&370w1fL)?Wy;#{EUz*ZR8ByiwiPRAk8vN@sK4}SO*sMU)><4z zo*&RF>Ri-v3uRe)M8%c9>?`@2Z`R|GOVGc>`zjpb{ zgWA3~To0VC-)S*GXUvJq5!iIxT&TbJKd*~KQ8PbEQ;ek+3`)>!H!8555bozbR+WR@ zi_DbDxC>i^$^O??eEuUw#L(-QFYR`iOmcDX( z5JgB>CvyN98r;($eS_IYE$f|gUSPTJ(q(4Gm%sPQ-8Zr#OtpJ9&>bskWCZx$gu8Gt z%W*&hD%_VocVnH`z#b}8*DH7*y~T{U7^F@$UWtIUj4~$4m6oxPCm6QalBFWDL|RPZ znDX_z=kFjuX|9-wv(T3A*Ye(KqvG=91CBrj$DKwieG_dxcgwUg{SD4q<7YE}ZY`Ki zo4Fl`-Z67|9LD8*+}x!%uDm*=s;ztLeW)8R1G*=QW^mvt4$_Le6bOw-dO8ovd^$(r z_FIAcC6t|8YcEjb4z^muTbdTyuTAC3N%a&z%hlyu#wQ(SzF6t=TCs%lf7vmTFabK3 zcPdeUm<$(Q(KA+ahIW+izXQvaD7gys5RKle+i9{=2=OW$z&>DFx~4wsjn3{80^H&2 zc&+F{X;AJ`D9n;vU_q=%M7D?F zO2NC;d9yEs8S}_feArfH^bMPFI<|uL9ThGn^8C}~SlA0DS)3t#>658_Wye9@Ne|2f(07s}aBTIMN!R|2nL#1SoV^A1ppeI|nKzg#6K z;x28Xdi*Ic{eXM8J9|d=y=D6N`e32!TSqg7$xLIOSa~8J?%kvKcS{e=%Sq*EXD*H=~5@4K_**Qp)>U@+lvMw#IP;g3>k zlaiPDl@laEa-scC-)C;I0yfjuH~ryXCZB7o!(PC0N_B+SbXi7ucD(iVS3fVOIv|<2 zB-_D^5Vf#eEShGr7~5*%%i8?wk`-OrSe>fpMYEb(!!B8gvUB|w0YF#m=tiILQIbG> zD~KkTFaqI)BUAYTh&aD8l(2I79#pfT1`&ynJEbL;@2eN@K`Ux8khPB*3ZK1?q(s5y zi|a6<1DTX_QXij_Wl>ZsqAsl=TOybdxg!>I1*5(S{aTmTu12ApgdQ5FaQG8>iR?Mv zgryu5PY8PFFLnY3_JZv_)xSch`PyHWqa|3Baj^8KE59AcLjIm+MwAM`9o{>x){!N0 zn6cZ28{%WjL|eTg-Fz&FPLs!CBOKt&jPHd@sEnq#^rSb2n+zLj9{bwb_SSLb$3Z3s zkU)nCL<tz7}cbLAe5)mh@8Px4p49t4*pfjBBM;2Gy7MHitPon zJd8+37gqZ=1zt3nGID(}FUkfmp@{5K7SDBM++qEl12syP-la%^}!X>HP zGy>@}n+>`=6KK=GUJUC?%?WAtXofp`-AMXYxkU}HP0n`CQFwfoLF=edq0@2!#p1b% zS`Z+y2x1Dl{L$_vG%L_xVWO3nlB zjf-!YE^w#|M00mZEYkhA2jN)ql*uZ$WK-pW?wj0(QswiD>Ab>2>zubDnRR$4Kh60e zfO};lRCT|?7F(m0oOb;nWcL~N`7v?oADkT+~HDj-1)?wv&pRjr#^SL9n}{IjS= z8xS?Hkmn`LH<4VHM(MPe1XqrA->NXe*W$_}r1QM!r4IQ;O|N6dcbqt8StB@|~(y zgNr$^UFnlDvy{3iVtV^GOFgPD@>J(;YUTLIK)-s&l-;v>dgOkWrM0(Ppu;pnBE9TD zEUj{yKNj+q`OR31ME-as^rFY2eAsH(T6P$6ZEfg*k@Dch|M=k%Q;J_DjtNhE02C-3 zIGYot<92^MVi9&nT@2@sH*nFTjkkGSQu|y0t`#c`lt>V7uT}v`|OY z_DAMq5(n=JinOzjwHpV$SphbXcgzwTP%)L=H|iw#lN8AGW@_(fbRvRtUSl_YHy2h; zu;hS+bvNWH$f;6ZgO`tD@h=R44a#MsoSv_oQLN#@Q_*_fNGdTNxDX=K^-lVB;OiCr z5ozp_|EsaBTNgY|lo^}bRi{Tv){3NRSK&+H-%b-?^pRo_4HW?g0 zzo(am^pA}Aw@ndyd2uODwKmGyLs0kw6(*9Uyql zGk+unB@Q6y6o<3&L?iRS6f&l$R*hwdj8i(I5ujAOm?e$zlacNr@Mv*=-k?)XECV+g z@pj+8R9GPhn|txvq1W6-Hzg(sy|h;Wg_!rQY8m(mPCwXOPn$2IbH53NlRV#>eBesjsF#5 z&T}Vk9zJJMY@pDzRs?8(SUHGltSxkVjJUUmdY3O~FJ~+0^yd%!Wzek1tC&b{TQzf? zBy;~VTl7&A49kQsQ>GQ)tL8d2IBY%pS}*^o8spE6SZG=R&0zp(ytN64a zM}`tGLm_$vXD>%E{>7CFvl>Kfd<^4Q0Y@jWX# zWr~zt{QWV}(hyiSY26joRGK(pc!}ETAXK`oMDSZ0H2OkG^%(xBUe5MB&Zljt^P#bqzuJWcm2p?|Ed138Hlt@H~faL(>w?#9X^Um zGtljf8pK)-rGePfNUA`Y)I?`2E;Mp+0y221t8 zzH%=-Po|QCM4h?);Hr&_os7nL=MX^t9JT=Df2ybBnX};p;2||N^(h{G`P`rXLXBvSZ< zD1I$v6!B56oQnh2{#g0SH2Ua9Kk(&^k8mE)f^yx9V4_@kiHFB6tc1+AabcV85%w-R zl(5CSPoJ3D&==st>o<)CH%k0xTTx+K;n~xrOld2L3+SYXV<{`4XvWalKrna}49BYR zktwTEGVz^|LlF_9vL)3A!n+>6{<>Teft9WHbQW4lmpKBsVuqgkLei4oElOBN{7EV-67COR*6sv) zI-Ojt#+^dVa~x+aic#;k#4fce112zY3*@^rH+Ehr?4M`6C_%aS zahsxiS>|7P-)AgeZKS8m;$zkXGv;$34?%lgrzz&0C z&aTO}-}s>AQoppUtO0aCf0oMUNC6%hGiZOC52(ejw}J4#I^jMHOCVGV$k7P0xowk? zOBAO45yEG~@8<-Zdjo5-jamGo0^+_P=yHL;P8Z$H03%nPvo3cMRNB}isP-;b9GOE> z8EiBIOs9LhpmMYj=G{~q4*6au8UQuV{z!+r7`b~mfNl2`F_`sjy;?zXTX3D$pL3hD zzexFsZuI7VaM1rjb^OCk0a}XFMp`4=?`Hd{chUBE5yWLlbff{Y z>(#$M@ZTve>l|PwiXO*{88bwSTQ=mz5Cq6`e5;k?je`9;mbnsSK1&D%9?CjTJ zYLU4tggP=@t)H~=IOj^rxxxEOT`RKT-5VIPHNd9$Z3<+cJ6;Ao%KdRsjw+8)^v#*< zwCn6|3~g}?F8L8R0kJhMNdpZ}BB^1%Rb+jyZECZ@)b_2h{M!ZhIoo>E)fnE5x;eXD z=*3fw5-?lEjF4bUlk<&zH|bnhT8h}V6gRg|`V)A>uv1k0@B~&z&BsAE=|9q6gojwr@dv4E$kK`wcoxGRw6_{DMZ-Sadtw~3G?m5#ds+YQV zD>p-TRSsND1-Z$c{(ym|0oco@=jL-P3Cy(flR!hQCpH&wr<3|~i=LY#Jb=zj1Talh zS74VB!RO47-cX4X^BwIt*e@`hSf>#Z=1N{La%6AsGA99W({eWxJ0rCDpH)=xKe zSm9mf=Qh?zi*MLYm~bQ&-?uw)gS*eXnUTHIU;0zMUsx})oCYyJ>3tO@)2hiCz6IDTE&Xdga zK4=(B=Z*>^^$Le4^Z5*#jo5z|jY4mr!!>xL+5^kvebtyZ^~-hZJ=N(uASK3$Vf|Wi zpYzSGp7$$b?jS97CpvD_NKuLSY~~ZQR0fi#3kEe7fN5cd%hBSZnUe!cI9fflGX}K_ zo1&>3^X&)Ew75O#y$#qB_2@8Ix9R`d*7%r8ml` zpwLqHssFDKsZ=cSJ6Bh3eMkyp#n0#R;~LklpnD(bouBBOeVZ`o<}K|1G^?|HcXoF_ zG<#gXb2{4^d-Cml^2@fV8I#g=?82D`)IPDx=-U@J1R=dR>A0`s<)+DBD+r0O=3fKt zsKWGfsxPvCB(OSHoH^3t(8WIh*Q%1R8-7ii@SaUTtvm%OCcHRatmx*?JfxA$p%uJl zPX^XSN;VknGeQ7uELfl=e8kX8Q8NDI0jxk%;VzaQ zA9w*>`Wp0>W7e^6;cl$>XPJYVri@KaJ~d#feGjQ-7;qLj>813o12O_PAJ7h~ETazn z`kk@{=5Uk&kr*;7qjmkYVLh300^=2TGcdCr4418{s7oX!Nh-fnFFTk?;wIYW=B!IQi_ZatQIlkt^*c z#2EsiunCsBVBc$G5otZ-Gw#8#Eb#(>H;K1&T7SBq78CX>xk9n|3!szK1KYGD41z(h zGcS;}-q;OI*pi#Th-K}xn0>w9s&Q)Y55R;~k{Ve$~X>W+y} zeKTbTFU4HU*Vs8d(=oJIv8>vw({5UWcjv4`g)wA}*Hnmmb=-dU6%w3FT-kL`lyN@K z8OP}z+LsBFe*O5IlRPcx)KquyE36xv95%z}wzjq(dS$|MsqwAJu@CKJ9Tz_JIAb9C z;yt_cVxcO8+)NCJg|}mbb7RHUU*2VoqIfJkO100L8$dP{`YYl|s#XCDzIfe4;ARP}np3LMB4GJt0gj?~f{R5*TOY@CN6MUh_ z%eV1g_QU5u-j8js|0M^RE98s~v|uTxeqmXy7f)fPyMROJ6EaZElDRyU4QR>yR^k1+ z;9!K>^<2!Bd!g9M3wbqWpq6C7F}X^^r^r(BQP4LahQaAX)B5d6ILR{TjvuXiojP^H zDk(7Rb!LmJ>A>o|VrRD2%T}9Jgd&o>(1?!ED|F>M`XQ|A~2cj%( zFyMIq+_b}tp)1a_4_{}AQTVxO3iCPn+ds>{3C$<4hIKa4OYF2Ohe+JAv1kh)Eq8hr zb)*RSsxFUHnzL3N7KvV(o3jt~-$a!bxIJbhUrc2v3W*l*x){Ha*90+)ZctP-TzJlu ze?l8i)Lt;GyV9+>CXwv0tklyFvl)&w+Pz)SpVad{9RSqahmy7J!tUQ|g{ zBDE>?D192*^~uFp`aweLi*>eo2ila)jfT(h`G*JT!~00)1vX7&IvdD5@t#!xWnI*uniSVqxnf-M7%3v%&i%V85#@BSAJdGM>*PzOcV~G zs!*{^J2TS?j!{Zrv0;`1_!v-LGUSl|9G@yH(v(_3YZg_OA)5ZHaJ2ny^f0kG>!h{E zqmf7mO?Saj>v>|Vj*_5A_JQmL^PF>arp{LKpSquoe_&Tkd%95|y)@~SvK~M+UUOSv zF`pnn=H7(j<>j@ow%+N6{%Ue}vSb6KG)r>wVeJV&$Wt*N3IHG>Z6FS05y4nA+X*cj z7n_RxK-{pkAbFJ4EOTtY`M?UqrF}Z){C}Ek!H^B}+WP|iCEQHhJ4S?Rs(6i8)|dr9 zqV{(K$|Dtuy{Y(&F=U_hS$M;P69|{o6tr?0;M}i~=_Lt zEk+Gz$|Jc#?pU_HqF^-Jm!o%PTc4tL!aI6CI)E@0mpyDy zJl#S(B}ykPJei;HsoM~*53;#2$BsFL9CElad?SlvohQ)!ArlGdXonG>z=GI@4FfH6 zKg-I1tfFqimuuCb57CsOUm-U?zcAX0oCO~~jd%O=wxp2wT!5sjA=j-gjuybxOV5_U zmp+oj7?YvrkG=d1;B{^WDug(y#en#thV0X{kw0yEc6S9vjo4#fe>~xV*T=f4P`IyH z31j>KYYX5MbZl7fzX3@-M=@AxMfu7oUWi3zQ8p>+K6{LM616}66h{T0axS<}CF^wd zsiF2dwW_$Q7?U(**QUlPKbkWyH#Y$2hU8qfAj1%oT>6V4Mv|6@AWNbaI-~KY^{nzS zZ#OOR@^+1HlNIv=t7`#DOSh3jZH%?F-(6P+Ta7wvMKN` zpc=uFW-9UoDCktU(*aDI++Byh@Z;ZD1lFvfj8ITpcu` z#6F3c`|o%cjzs}Y3sH8VIxW*ishUg9c!R@mwDMTN4j&YJ5`?1z$B=w^&tA&eNY7h8 z>4pj2mYfwbsT6ma8HDqNhp*P@-=E!%Icx^4el=~|;HgEvHBr)@eUSgUwLXcc*QG~h zn4W~~0~?wawtsnN1nBkr+Iv$OF(OVfJ4<7zgW|IpPbpj+!p9nlPur22C?1h$D}yf^ zCHRlIuSk2rojnCwi+|c+jWd-m(%FRaSPATNa<5^59d463nPt8MI9gmv&kM3Eng7&8 ztZ&@0LIwK^cvBAqBl0EIdbwZo7H)B+=AeV!Fe^_l2w0k7^LlyY#lQqPAZY-Xwp z3Zdr>vQnzl&GmHPfG&q$t5B>NaLTFDZH(Y@z zmfd>(y2Ki(*jcJQKp_y<%ohCz&SX%lvH)xza)1`I`1tkwZXo>UJE;zofu`%Hg{R!V zwmZe`uZMyXY7qFdC-!a-I1;Idf!UN>FJBBrBI@?ZSo)#t&Ad59yUCv)bs;?Ry>>C)j+Y zy}P_(pXZltM9d~rFl-(*4E&g>=Ggz34drw=;NAUsZwFk7TKR#cpTZIgV4pRY&)O+^ zL3EL92|xqhuS+kikoB#hd2g>q24vr`8I6e;GCPV~+{M-l2TE^u5k-tc6s8aYf0qyE z^V#3cYYWX+Y~Jf^)O?7N?n=4Y9NrH&Qnoo#l#B>vg(Hm>ZMkIuLD5GBrZTkFs(flG z&}n65B{u=1pCt~hWY=%Q1c*IV!)2;<8(8v&cG*qBKBZ_Q!@={Z*&>|C$Lp%$b z;51cd9cge@yNaM9^I33`00Tnk`kcBFrMBoYW;ALMtJw15sXP7vDa$Es<3(O!cR2=a zB}DU&3}k#*j}mM5=PBHKop-tLFVZ!VztEtM`;Uuj2_wRVo0LFaqmY*k(k3>Nno8@x zg%TVMqc@@I--M^adu-f|fe5;H+IFVZ9?1e}7u5iozVN^D%qkfIkIev}Po(#M;_F6- z;S>pyX241dOq-<2o1i~*jsh~;H}{D(1w;eH+Cf9~%Crb^2*Q_MZ(o44>n-$MEW#Fl zo7wCwkG;&bn*2pFy+qD<|Gs%#6?a@RjAJUz#?bE~y8iMpfD3}01M6vSRS-z%}aJyMI~ILf6vRk%#Gj%aG&(I{EEeRUzNh6vWs_ zMB0BcmL2Wj;DF8(hC;M+TJjGYDhZ6F95zI|+z<+);t4cXQz>`C*I>z%L1*N0@6JZ& zY}Q3hddLBVf{GAfT0-T+uyI*ju!~)!D(;KeiZV+nGW^(%W$bGltDe~kJ5YhHF_VeN zf`7)MNA^!;6`XD`hLjlq7QnaaH26|C8+qS<$BCDyF_ks6pK&Lo!gBL_YcRXq__JBn zY_g)hvlz0EEPEPRu+nn2?>Sn679htspP7F8No@eI&7lP%kokDsN`sm0I_1GZ@4KOr zKX}f<|KRI-1~u-p7ZHPfjogfB$g=p%Y@;>HYkrPPzXkltm9H47fp$wflK2OgQ5uGX zAm3fG_|)%{>`KEN3tlK`O_96W+SR!XmT@fuep z@Ut)`Sq4T{42j~;x&H>FSlC;}$QJ7#PS__!8wZST%misjLc%hMG+XijTsg)(+cRV! z5*s~oz-yrM{q33FltT3EAdDfm(3};=i z{@EgOqQ{WdP~aRjahbEnl5z5i3UD<#mU%jqa;fHi;Rx`6-fcvpu8kS8t^yn`R&>T0 zlkS(eEl>{eHy^TI|m+MhAP0VZOGvqV%cj zVbIxky}G@BDNj&JQ?s;R9yV$pFXtPwU-*k)E!TV6Ld~WFu3? zxp6G2dQJ&?HPh+b4r>bJ#;g}1N1#xvcLS)cgpn^>o~8F?xMJrs=-OZH$6!0)NiP;( zdBM|@JrnG(sIx7(qoE_bg?!XV{FQm|*-nMwq2jn&b_uh;;Y*oOx7i6Fyh@nPcI@1x z=8P^qqW^l`>2o7h+CPEc(FpS9`Mu~LK9}d>)a9OANCV3vAkzb=_2}tdedSF6s*zC< zNxrn;;vdA3!}aaowmH>-Gw3nsjSS^NUj|zq<$-Dx{n^OXXVF2xHB0Drxl?Q^+~!Dt zpswfF+<(gSk-3w0v^{pThLQ39xrb|kWvhEfde5JXZeRX#W^KHHZ*87yUM&Z?n@r2M zl^sTNP)VNtL|PgEoD#dUwsXO=_G`H@Gd3X35Ck4#1V%KaUzgCzAzYklt_M1Zb8V_z z0d6fay-W9=I8Q5Ql7-Qk$IiI{q5__y!P>v#nsSRln*v9Xo;u~i*W)2FvSU;9k$=w$ zIEqYam8w5B4%^I0KXR4+1uy^k3dtv4Rxdxkc@WxN|5)9#0wn2y^T9JhT)y)fVhvb) zd_eQUwx83L(y%{vj+)!-H?A5qCZd5X3BshPyRqG{zChENe&edVd95ydlF_1L`be^% ze&rdub?h7@?O_vQ4-A>mXN}87@uXskNQ%T}GApla{Mc<)hl&XE;i2mtFsYLVWslDS zVsz0Vx#uezamDTS5FH6y>Q1g zFWg}7f1p^uRiq_}R{pipAaBB{D4K61(5fAPI-UM7_inZPaQ@Z=q1v`EpxN)I#9+@1 z`k#5keX9_JBof2`?4zlsCT?v_2Sp|k^AF$*eKP3z_4%On{~lEk5%hFZ;6y=`AQmaM zXo9Z<519I~7{c)k$WI_om(h=kviiR5#SXj|aPEv;DU#(HQsi_ZO{mdHLP&HE@4Z^- z4kdt=QkfrNt4XuQq74em9_+ZnGld;rF3mk_%yt1o$v@@b&XGhKW$w3!9iIJ6XAb~0 zeYjh(=eg*HuFJ|s(KJ;fSVRgIjjt3~k*Y*rYBtcXD1!^FN&VqNLMd**ng+3n=+lmK z^#R$+8M7$+z$#e~1q6SITl7Jc`hb-n10w5Bj~K-Naqt~Y3o7uazl58m+)jM4_`-X0 zJaI^ck8`NZgDt}XzQ%;^(gZ)9XrRQa1}8#MRT|RM3NT22sk#~~>Qo#r#j#A#9C%@f z)zp$-(FrwlMU2+(9s5%>FxQw^-`@sqcbi-ovUfRZ! zg1ZjGV_odR%k~D0%~-x{UvfKINm}^1=nfTlF_%-|M90_^H!5A4{Pw6#Yn~7IUSr7a zQG>T&Cm@+|R5;S9xqPTcN2pv~vfkhY&>`~Lxg#MGfEMX6-899Szb5y00KSST$oFmw z0M3V<+=NY1W)udK2dFOn`Z%DX+--+G?UP&aGLluf$_E;ACRWRBC2=o8m6uXy9Ky5M zXsS@pwb*TBy!>HA^S6 z|G2gg^Lf4!SKR{_{}I{P?xIg{hGhjQILgf~dMb5oblbs(s4jhyk^qGCvrMDpE>pPW z*gh4hvtsXmDm)(}k4)c>$}PX}cN34_*PiH{H`t8_s4f^Nom$_tPKlx;@Y)r!+>rj( zc}mx=wcFy*ki~>f>_B;>Av!N$S&?9BthPw4b zsOKtPSJjk-VWu~%-=Rm%B=4x%To3vAheesH21(s85*ntW09Dn71?U2iuL6kxrk}+& z$)B*dw+HA7iQeHxi;vhQEOu7 zbe-@ru!y4PHqA2PcTzW;7~>v@1)eRuup?jG|E}L^0w52mkm~@x=AtA1c-(^K-33}s z$1$5(Q)a9zhqJ*gp~?~$EQU%{l=Eq~pDNcDhk29pH+3L-#d`+>?4F!MMJ%^fap?zL z%{vI<2c<&F4ojR*aRoz{eazP?XzV!DfFs!<=;I%+MHR_=R={#YFbbcv27dh9#Q~C} zpGto-APEWJz8$mSZ~PxysBiYc-Xy5Pk7KgeSi*%eUTt~2ehTJLSOE$Qf zae!p$ml6lYo{B9U(}ls+@mUCME#iN>Mf7oHdW{CTa}Tmb~IART`Ei zEPTFhi9uI#a0s;}08rcUprZy+A4ZVfIB)e(quQ6fj{#$@7;K5H)_7ORV{Jqm8EZ zZru-nB#nPjyaY|@aWW)jtOv)Ib?N>^78IdMQ?lSA;>@<=to+BC!*N9-DUiuJkK&U$ zJaBKIKZ^Qi%K|%Vm|W~`6~wA?gC!4Bio_oyS9Xi-iuL?H>ak&}5!Irec`P-ri0(mc zN}paqg$4>8SLskY->Qo;u^K+K(R1OaHt3C*(P>u$KbmiOBuewJjRQ7B;AQErhS;qmdDS5;%!s#wl|P z^-*-c)Hor$p7P&5%V)CfxV~K;;``K_2u8jTmix3X8T8rGP~kk&oC;2v2(;2SGWJ^? z3U*P<4CYIFKefsfVx*Q|XqC;EDIA_38QDo7H2J;Lm``{_k9K*1^tJFxzE->iPAl9r z)z@g$!pX)0I=6W%_r&jm;o5p5U)jt|0hTV1^p&*Xq`m2MQIdJYYkkS`05+eg>Sb`6 zz0vTeYu@GNw-sE1_jLrF`%}a{*LpPRk=L-F1}6*kH9u?^QKa$p(+1v&)9H0=s-hKl-nXe8u1)%l#a7b4|dCmXXr9m}Q&3E=DQ~>-1CMe%+3kCZ^2ea))NjGMsh>fbPd_el+;T1dC{ z4y^yXKh=8@T%8I%bjOH@9$ zhv>*QK0HqPc$&*#6jFU$Rj${pW7&{7P;ht7^5NMKxG?JL&82d z+D4DLYoy0TioK`Jy~tv1JD#dyZD!#g%1}%GL#)l(w6gE|b^gR0AB19G-vsX8uWTn9 z<*l%tHYWA2{}F|<%=7V!v+wf-ZueUei2e6uJkmU_68%BjEI~`G%%~@aTk@zh($j4w z9jwW-h$l>9Hp{RH0(Gv{ozAq1@jo29^S2D;uGVhY$#iZJnT_fG5hojIe*NuB?aEV^ zTJzw4cgDwGM(exz;O+&wAyPWf{Z>$(qcRXec+$q0+)&lrsOo^KzMy(?+7w|8rjGcG z@u5^I{D$ZUNk`M+^)neO3LE+t$~2iPzig^W-u+d+Ys%3y?{iOiRH`D~$qJoz4;IMP z28@3(BC!~Hk8h{z%;l3AwB3}#rGC;V7csk^=>QpqoA3}=yD6r=p4|>eMW$zFaM{cd z*~}+Q`a+O~gfzoAix&D(jh~c%YJHv>#I=~K{ZxTMl|N#*lcn3m`9p=M=Ac{7$ts;I zgH}ceBdPa&+z9&^$s(y%B^PBpS4k_3HFLLVqTn!Ee938{O9a#O#dod=2`x!s!`17( z?7YN@!+w%Jvhm%XusXUh==HNM>^U_=<48_4YelMg{k>tm;xup+ef{Kqwj?i{BWtH= zqU10}Ztg9a(MIxf!`y1;3!Q%6)t8iozEdGT$?ugFW3x+Q_*6M64;xS96gHINwnvg3 z_AU8U-}A1*UY4!0*V;q!@Y0a5;Omc=<15vbg?<;*FwWyoS#GazmY^3X19YLZttPqr zsQ!Y}r9srJX1tUv|BA;>$CjC%!15F&1EE$^J#jlhx;wK*QxDe(kpbs%NR;@_7H)q4+ymITb}) z2GBV|`=^N^@5U{+wo98La^jVO zmmSP}2$o<%{qT;c%;mllu;33nU807GWpqJxuw0JzKj@%i2@Yy5>*r~%yCtFajXyPI znQnK<&l_mndv1=^we6bc#mZDpQmZQmDnrOh3h@?c-!mVDG2rKhVe!eQ^@6_;PV0$z zD=Mh}=}D)Dd?|bD_JZRrS}w)`S&e!!{KSlg*T2^9!*B5Kbz~WNYUu}fm+qvu#=sxg zI}VAT;k8_!@t9|)Pa6uVLh^XurP;AotZ1tEF1=Y$mycFm393fT{cpe5T07I!EPS0- zrOO9igokHZaIWzgPpQ|gw+!EF8gxJ2(=8q9=j*_wT9u%$*Vu7Dzn~sXo4!6J&w&$F zse9j1M~GZXEdlhK{W&K^li zm7g{kwL{!Y^@;4X!FaR@^J+a;en}xY0GkOWDWDV%9S2?Dmxk{RTu12lnP9!C*exgZ ztqY8NMe!UpEf$N`dW#A>@cZt5jKvv|JbduSx~i{%=z_glj6J87--{!}@*{*R5yyAE zfUYrA-hz$@gL0So-}a;X@5t>UZn}(6mrojYKQg{!8-LtdcF6H-+=#MIalHR+%}sWR zoI?=YJ5toEmAzQ~%X~;qpmcJfbmxHZnq1DE2H71BPZbBx6ayG2+99=tE60~-mi$Ad z*n}dvm8tq8oOR6REF5QA7}Pj8>#^3#OjJE6q0@X}-!IR1ZW6aHmybZ&NoF@k2_VlC zhtHk*Zl3%eeBE6g6HdN!<>(4{69zxFi@8_DJUWP6%D7de5O{CH1%^IH>LvVG2=hKf zb0b4`C!sCGjb_ao01<01UuJXpzptG+wDBmZ7|?BZQ~)P2JplGAOj0(@HfXqS$bpmIUlJR2z`pSW#C_b;=q zOC409P|TTGC>p4QOw1jJx6gU@BX4EidfOl6s_Wuq6v&LNA^YY62ku!Vw zmGrY~Ffdo5mR)*pM8cS(dJ9gULeY|-&}TlLFZp>X;d!aHW$QZ&^UmC=mc#dzNK)wt zMSbb}619Be1}fnfE{_3TAs1wbp|;iyJn-p&7!%uIOZUJCuJ5Jo{Pz0ko^rLMxLd6s z;rT5VB+a$;XbaxsZHk_B>M|0W!b>w;l3CDoCj=%`uyBA@B_#z#aE3ilGN@(UVDa?y zlu2VPoHOQe*o0Eo^P~t54+plI_=JR(&0h$MbyOGhcXuVa{@426rwvGY`mS@TwnTk9 zu|g9-cV!x&{0#*Si`;L*>iBe6%m!@zXlQuuw8t*IF1(tZ^7WZ`<_r{#N`ph$J$tp4 znM7hNL zWsB{-fWAjTZ{pp%knn^a7PyAf>7<5FaLzqwHQCD zLm}O1wp;(Ph@yR$Y>Fu;T(ORt8p}iljI!l7*vm2mw&{%!bNL*kGE+&-;Xu2Lb_$$= zcZhPa007+!2@3S-?h~z6q+v66OS06b!WME8CCoymt);Bg{HMDMlBn!(nxJtMq z9RF_|V>B^HXvc*pZ?Q3R##{eKw8W(USNfuPU5Q}Z&zH+}p6*wsKGog``le^Xr3y}l zO@cbB9YU6ds6B74L0>FsC=o!iSv~kGT($JxLNE;><N&%_Ta z$=aTDy>MF{9H-al=~hR!T76p6W&&U7zDzOh&JrPOs2^8}9I7gqP3}6Z*|C;$87N6i zG5OGY72=k2GH$kXnLA@DpN^3?Jy|EhGYs!tGh4;~Elqd#owZ;`jEdT?D`oRwG)Cf+ ziu}Q<-D26z{3JdYXTkHBMhFCtqUK7+Ra*+K$dg~6U|r9g+*Eu*SC03NW*s#+Qm)6= z-Ai1TfWcundx(RV@n>jXZ@4aFp}MI(h%uSjPQdh&KySWewMNW)K;DN+seyueq5`cx zPqP`TJN3kA4*K}E(5NDJ6M8MxgVT()B~@;C>PGXLHYW|_yWA;)Ly*vKz2Zj+E{b?l zbX*m*z^H+NR@U>)C}5`B|9UW97zq0tNA2CmtC^8$(|f+fcD6;{M~qBSzIf&lEq-`- z7}BUpuTkBt?td~}1q{x%^Ue%;q1QxUiQ3-TN#k**1ezMVHtzi(EsvK2*pEOQgu`y3 z(2e7Eve**<4Xe>;gIij9drHH>kpzh1aB(vN5i-!C8wxb{8Z@l{&FWv7Iv+^;LchXp z?xyJPl@@1{^6_Qd+_(^V9gtLYJ{`eyjRGk17~tmE2YlB5yty)YoF9PNNt%E+=Sq`3 z6$?w8HMk=g==QBvlsgrzKQ=LSzCB$@iHbsObwlF!u4rvd2cq>yJ##a&__(<5CMM*7 z`}3;*`|H2Gy{oSG*RMZ;F5y_f?kO%s-!Dxvfif;7WeC!)S8dq$Lq^8tc0x$rS#EpHBC)1ovMY{zM{{+3M~&U$q2(Z8Bc?S~8)jlVLJ#_Ko1({{ zC+GAbUnbbXR;x1EZkhTF*N4~t$eotAArvI7zq^w;*Ji5 zmI%hu{L=`sTBm%(u926-dWak*H;g}8r5bSCi_R9!8VwiEC8eMTqIyUf$Hk4eFuCil z`IoAgeI1~M5BAX>K%15oX>J>;Z06y$+Q?%l0F%a14ap4dx#g;sh0Pz7n8NCv|AzrD zS;di}T5hi4gRLj7@nYT_GiC*m5N8FX+}L+u`{&?b)S|0$f;s^ zknYtY(W+jGLA)>^qg8i=YAIG>kGqxpnyC=P!gwa`MJti3O1-Gyz_oi<+4%&GX+IuRw$KU$?oWWbQ=KM?p_l#Gk`YHoytvM z$3@wY>{0i*X{hgcK^NI0oEb-fnC*bPHhkZXLdr$zknfEQnSi?+h|KUE8n>J$1%~p( zA|DR&V}D3WlJN1ZoL~I~;yb?c_Jm2H_e|AtHDIJ~n$~?VGBQ%2P4c-KrdkCm*PY>R zLuFM}dt+>q!1xOni^M`DCY}UR@{5;7se#^LgqEEczEmN9!JVPleW1j#{d5eb;^9ei z+!=ga-v^X_wl0T=_W>`u?}bX2fKZzw&~|pY>O2YA;p_b0{obwsZTT46D&(XJ{w|`LDRQ37?!cRwMqMl*`5UF-S1K+D$c3bQe`q6%=nG2%DAbIXps!_TK%b z@xQg+d`fFky`ck=-;brsnk?9v8uXJxom3fdVou~OFL}W6RkCKX#S8W3*a?jehT@gW z#bQb-h0w+h^;M04@PLn6)M-rBn`e8aq#L(lGZ&9F(HUc&$MRqNPtmhK_A@xa3QzR= z+8|8$2-#iIJ2Bkg<+z+05lQ(^S06ifiVOte3kup;hi2&|CH@qWnpopm^3OD_n>F6n z8kx@pOp2bOm2JN$JSW*W4$p&#%_(vjlP_Svs!|jzX77^k7PjPD>C788N5)9e1VNGv z(%qa3fZ1H|lFi_$n{nOTq>L|cJzt43l9I$?i3D%}bOt`SmkZ%a15o+1u4)NE!so2^ zy0wZ=fS#-tAO!{zq?ivhwWjbm?=ia^C=5p94@Kd!`6N66v^jx@h=>PZT@8z>IDbA^ z?`S(0$o4v-scJjpwQJeM$`Legv|Hl^9x8=tsRtHg=RPE^2R(g&Ujiu>b)FKmxt)#( zy+6tWoU8Q&DYeE`uTm1Dlf@d3j&*S%iK2Z*jq0DfqbXe6`v8r{`1$U1c7ERJ;ldC? zPKl4_-M}uf(3X=Ygtg{;uDssN>uv;nS)+j>D0@Lk$t$>Y)Z8QjjM#)NAQyxDX zQT<@mK~S+I`pfbol$|{x$3z9x5Ijkq3hLOAE52cRNO)KFo?S_z-kll;5rzV|vyw1& zO?M<<#Qo#EIUoSEVr(z>2N)zl79Zv&lmNAOWDSsFV=BD&tJ9^Me9ML?#m_$Fm~qub zS{8Uzcv{_H8yf5O`vX+%kI>>obG>J7svFN-fRE107#0An3Mbdz3Qd>|(l;EfCed>EN7zgLY`7aAyBTwFvV{>7A% zmyRqxcTO!%H-IN{vby8|HTE}G1iyW~*^w+(@QK>2Zt30`pj^eLq)6D>UcbM(m82yJ zyO0xs5x($iFYZ-|V=(T%Tyi~gfjVnv1UL9C)T1EjXwk)$RB&#E)l03d^eAy^0=Sd2EUKasU4kZa( z;AkrF5FDQd*}wyrX)=@>hy##G0xYDEhUK@%NqEezU;&}SD6;{;X`LIua(IAy8lO930;R0c*=mbSD)WcH9*5OyOn9-t z1wC++V%nj*w5vBi(cV~EU%llFUI$2T<7EzyT$4tWuTbqE{4aT&33s%|DK+gW5uz0) za_y4VEs^Blx{1mQ!cUEzLyLE<;2BJ_&mCwb0BY+DD8C^|W`HEhCE}m=KwQ)Ty z6Bzrvj#rrEv6E(^*16v#IK_|KF#V_J%88bc(<)Og4@q1Gk0BgO`r03mUqKPhM9Bx% z>f|kt_P;AWaBjtLu?vxs#|HA_!bV6mICEQ27KvLWNmx4BgQJ6V3Wf@!M3;HjtR=la z*s?}qMoj&Vy|u*i6%RjVgVij4u;1)CtW`nngT&laDIA}`icpF$WLsK<=#QGz<*4;~o%{j_17nI#tk@mo_N^pkZwnY%5S>+?=gta9Gbn zF*|I2dpm!B1NWE{mdk?#E3_ISfJJyvz0qtO?+K7L{I`#Y%Nn%S=FX*|bQgP|Fg&th z?iKvSG_IALa_}`_-*2hAcTM{8rIE_|KJ3SyybnfYZ$PA$OBr?ixbh>Txk~>14^B|5 z9L2LLykmuLA;oH^3kzRFB$NV_a_jBCH%0Tm176$SHbK@qxY+Jw#00J2ske{1QP5Mg z?Th@kpg5aOl%zc8bsvOFiQr?j|2>D$D@RdVngzMHg6B;yfwnODrW*I3ihuaEJ7Fe_ zE9qrO=?OjK_WXJ0zi*znP*TCaEIXc@hAhc4ZrA<``hvu%4(z``WO+=+`nOsH*&%gFWc89REVuSoFU+?5#yfWZ0t4?kwdPDb`azlrs-q_$ zEajaFkS}i0%yoY=Tqa&y{Ms%TN|E)`tJr>#V!9+JNJ8#5CHm+|d@WjUil<3?hBoR3 z0e|u?;v9c2I{KMSZ7!S&<2X}p{-2rS{r$#MRUsYt37yI2DJ|B`uJ2X5%gIaQ6O&xF z)W*SL@*{=TaBhT?-J6?YU}xL4*UetflsTF?D=b$tWfUP_vft|y3(%MaL`lIgu9N)N zh;VRlhFV0vWcw9#w!9;)^6`X@Zg+4%y0m`aw@v3yML7E$Wh!P`!w*}n z0n`e{3RKMhJ&`<#ue(m;XCh3Y5>`;}41&8Z)=s{?8jb3oZ}dgtFDNT5wELow)`!c; zdq-gG&`>KHDoHT&KG9NAtjdUQ+2YJf-o&r#SAIbAt}n{)vaYHihWH!AN7#GbJWqf~8; z*FAR(Dl4W!(j>fiZEaz`yG+LJ*o5x}B%W7qSEAPB-!IB9ho2mX&94A(@if-?oZC&U>$X=L5^}0P>v28+srDW~YNF!fYx~}^WV07em2GhFH#gI5*^+?Y<2R%X zRaom7aTYJlxCJojw~xxfdv%lP>*(A-QUTQeARE=iRv#{_$(KpNXL{$ov8^6h;!j8F zwOW8|dQDADCSWCsh{OET|MghEM1>X#GF$<NwuQ44M|~ z*Wbd;&%HAEvRl$=)IsZeAmS0^d4lb@(^%HxjlP1kU(T}Swf5%9>tcwK8ew7!V6pYO z-p;_eP$pxSZHZdj-t$jw9T5|S(`Gv$Yqg8Z30uG8p~9l;hef#l41C5>JNK0BOJ0Q> zad3=Xq{0e?CAb&FtB%>YarcG2oa}E&dXtS&VLnvKLik6Amfq9`8@SOrzAJiI#x35kV44?x}*QST}FzkZd%WLx#0fYU38Q zQl*q#bFc-H;kb{*wL~R*jvD8xj-S4zW%o`w0WyJ|d$-sBf{k{m(5zR}0B~R0uIVff z{$$Q?3jN?OV>yim3ZR$HW3|(%LaMK`N%5MBL>G&%riCiJC-D^+R5CCw&)B(qkA)7l zj8tt>(s+qHt5rXNGIvK|p$u}nshPsA8e#GI#NihWCSmP1S+$U0!togI4m~VJogW$+ zI3l6QpACRu9Kc?==t^lsz17UXITOaP?FXv7Kxk$boqPnP-@RrU5{fdOjD~Z-K9u4W# zI;})cF~D3!+m*Ne)MgGD_|Bw>?5+ z9UUEUMisd>teETqi1gv}IRJ#6>i}x+?N=joofLX&c3e$>)=CY6A*jtDz z1+K@XgH}IOQE~PpVR7`o8V))hwC_tqmnV0q!g??rE7u-7h5rq5^xMV|7e}IypuSW;|>jjijVm{b#uVvLVWpkk$N=W={XH3)_M=H)>SXNKT8ry6}!Ma-P4QFjtR z0fevY>VCSYeC2n~EwBe7tM-y;k#a+G&@k7RRi{XIv%K3yBz<9Q87sUlB)pkE+Nc}5 zl}465R#vO7H;pd4N3#fFGZLtUkzYLYGM9SCi;>Nja>vA7X@h^2!y?9OCJBE^6EECO z{}AYD|BSWKz`ktoPd+f@0(5JQM@VeWIzz@9A!OefiD8U3qs*8a%0rmn`qt9)M@=fb zGRz&>w`cuGL}QkcatJiB=3Eo1#0!zijqEjCvGm)C_F$mV*G^JRnj zRbl~ElRyA0E$-1v1fo+2_zFBi78VD0IYd}R_b=D>T2r-kT5S z=KkW*A{~2ac!f$Y)VvHV0;z z;{CKsFG|V6VP21}V*DN6A3(%!*?8`RP;F(%7qPb2z^4-5zkEsvHXoGl@sd$u z1+GnlGvj|+Oo2~97GISr4BL5J)6cbdFS?kVzQ+pc2stpP8$Ts^i-}*)&svhdx#_6c zGQKb0(&O%~T)ZV8jFkzDot#eAHMRQrPtmF)5%2qqMn12Tb)7wI;QFgn43FXO>&=#& zpIr&Qws`(wzBzK^d#_T(L4;{_KPS2#>=HT=93cC7$3C3%x9-4@t;;oW%(a9UscosOort zNfef#a9AO@<^2<LdIK#R&lUmaGP*G$H#9 z3Ut_6I1MD2lw;O0Mk^Z?D_fO|lq#U)E+iN9(8-{r<0+8ze1?HKj+O!{eecH~xKw$Zq& zq1ju!E+x?zZnZm}i2-@vD<+7OKrTnpQ37YWnzS~h~gYS#G(qbZ-kS-j1sEaFmB*h`zbFW z4-Q3NQP5ehHu%935yUBbr;3XB0J|1%9xxV=V`uEMMvsfe6u;Njyw)RV8tFnXC*1K4 z*uUj-1rnn1>uMk1r@~DVKl@d!sb>Yx>VdWl1e-}rRO5j)Nu ziid)=a(V5%znDtg6(EXMD&%)ZO6B&S-gc!Iim4%@S5lM5CrK5?LvTyTePl!mszS~B zcRt#7Y~t`WH`!{qGlrp_g(2cC_~iGAJa zib5e7Ea3c|6MK28>RR!`7AF~|4^b;lb5%%a2hsAD{{EpR{Mwl`n!;rM{`M*Z5+wWy)Yyz0v{**G)(+w;qi&h-m&vX#wyo{Ni{R@3aEp>$jTKb@OyKDPyNwSn*4CfPLnbo zY7VT;+&ZuW^SJP2H`81RlXrcr77TPVv0OsbJP8_nVX@lQ+eD)Qq?u*O%@-0cxUL26di(BFh zebvFiOvBu9<$Z=*N^j!Ji-ymAA^vQI0+X$M=(DU3lc(kx)AxdQhmiG53Qps@++D6# z?P(5`k=3{I+}E`xi)=DjbCau9;f0asJm~wfQj`p@iTS$#4%OG+-(gqBVchYY5eG?8 z_?nVCH3BC0m?i_q{|YjjoMLi++!cqGX3UpPQwt@J*ZpappE7`;R>z$ybFH~uovsdp zsj4b~*Vyd9WP$H01`rSd(A|~v_biUOQ9&USl+Oi4hS7#53UFDu9Epm;cz(i3h`%Ni z#gs^EJ^r@x>KpIIh2LkN3HWK{ic~Svr~aL{m<17HCCDMNrD#md@|j(+&nzlxOkTrV zRZ4MDvw<2+dDfwNC$h!l^N?&mf_L=t+t0RYO$%e9h@pvzn zy&7g4`04w(mp{Plaal+|wDlAlJU;D!QhPuS%%;p?KhE)oIZqRP9Xs_eA8LjoeeR5z z^MAaN;=W$jN9B0|y-Jl5wK3>yY@R~$dx;qh)T#9`o?@Q)p>0rCnDRr=dOLmW*Wb#c z>h`;1=AxL2oxPExf2Q0RDYT^ZTvO^SZNagZ7@3$q&d~2ZK0lw<@LC*Kzbo_cZu5-< zwb%ft6*2RoB;KKjVEOjZ@X1zq?+_5hYFEJr)g5#Ckck=999Yro14xu!e|@}>a53(| zpqcEO$9rU-;(3KFj%?Rxv0ZX}bgpXc3PgzVM^1tmPDe_7=;nJXYkKE6&c+N{}s-uokHJ&?v3I@(} zH_!O#$~Q4Aq->TE#Ayp%;woxCX#c*cp&Hn-#sAA}@kf)_N?W(N*FGJd1>X#Q+r&yx zN@)CJoYl&Cg`5I!Q{O5Eas?%x2|lq0!eR;gn1M$#N!x8biSnl1jkZFt zNXPy~x!JvMf?s@l!uhRZlWtvlu~x-b7@gv}J6Ykftpd^~F=-TXe*NlkAB>bT@;xhakC#bJ{@ zKUE24SqaEQGqr8Si^i9asyyp83Ob8xUy{)Si3)m2gk(s+y~=2Dt%+J+>n^yd{B^WG zoOuDSP5p+L+s>bLD0FANvWNZ%*jhWIr$A4k?N6hM*ukQe;?995qlb`)?_}ZQ35P%9 zYPz3%jZ7FSJ|>)q!exDSR!&)7M?YeJ|NT!XxRP6p8h&*Vnk2enj=q6qjQqmksU(7# zkl35LehZKlR)=EHcD<3>)zeeyxcV=aui1d*baP}AfIlC=SR1%zkgM3$-F*z`LpA^k zX@u-vikg_OgQO=wPPZP`i2nQm1Qn7bo&f+KqVf3h3ew?%C`6In!$q(8!${|ZtLsmz zhA3y)yN}Cr0R#7w>6m`_FLNmo1JFt&i#Q$J<~)6OndO>8SzU7$`C+v`$F?c4Ty^a+ z#up7&UW%+9W2Iexw0N|1&0^tA8Uq$W+P2R-cL)8}JBC zZ}GmwASNCHtupD}QGg|z@{Lwcuf9}D1#q)N30zZt)fE;pJ$}wWOYWjcQNP`S zuC0|TWmNKrg&lI?t0u_g~Z}!hiz`yT~;-& zd2`2?T<;5f@{sxzbXiGRY1C!t>9ctGA&!(%#d@Xii~}EkK9;qFZF)HbwP*k0sNXc~ zsOhF0SLt`rDGr;-CquQu$y8IIN^Afs1DKEC{&s3)ZE$1+{ta{K@=`^8JufOT|F~7f zodI~@VPazT{rR(Wf4OJ@#?68FyN9zp5x}t_Bfr$fQLXj^!uTVvS5pC`b*Ah(xU$vE z33k60Jg`VOEkni!B7UF&{#!+p&VWViBe`;s;vNQ0Nfeb1scafEJ`b~6e#j&b$vH^f z>@9ShR9Y{UC{e;J3FF_sMyoG}BtbvxKe|G{;Il3%5x&pV2d2&B zIaFS5eCgU*O~&&>r^p`ZKuU_!7}QZ6c+Mb3qyB-VWAz;E*DLFby;@5jPKcPZcw(x< z^4kyX%`Ez8M9PcfDdL$F9u%#2|uQ2Hv29&YF^h7z%~LqDM&TVi?;W z`5$PKSks6zYPHE+RJ(926j|RmI8FY%s>!9Gd`B0+i|#ti->+wOr*uRiP~>K;hL2C` z&aE%M-L(TwK)kW=Lk8H^6tZ@)C*e!`89mg*bJ_cY+eB$V4u|X^UsRW@sp#UwblJ&< zMBrKHO9%78ZOSw;5!E>43|tziGWIOZ7Z0c`)!5PY3`@|vLt5v!Xmc4;nLA2A6Qj=_ z)gq0*j+F?KrYKqno>bRSo5<=-4+rV45kM7F;j}ITWUfBz$H(VWL4fkcz=#|UW@cox z;e=Ll1o+BgkE>;Xz1j$*3SjIQ8f|OW$&z8sFKEHc zx*Os%;pDmGPYny$Z%noLB~!^&8Ljpz_Pt^rl|8=5og7brmq>rSXoSB z8B2(QG+uhn;3*2z0sw&W&&m3Lw4$QDQf5Ym0(kt$CNi5HEw#h(5}|4oYqi5vIxEM| zN4>%pYk$DxYA{p?*n5;TG`>OiU%nwH|9XA83D3hz_H?w3i$NzJgQr zr-khGBuv_JV&iE;KVW(L8FY9WAuVxHRU)?E^94=x`@HDWOL#hzLAj0aLYKbwU#YdW zFt_gX0zAmN&;u{BVBcS;r~WDak}E#4|BVi!RClh`puP=VuBFfRE@0dZ|v(`vrBIkco(7g8K{*$y;IIdvIUy zq&eLfGF|Qnw1L(}0J#!sHslW=TXh99-opCdyVH?VAdWg+@_)@e4Q~uc51aYM8tuax zuyTe44g~?npiGMei+Af4>b0wby)GstB~&3V8}MYX{LGp80c%fL!doFE{$E7Di4(de*nJEQMFd2Otf=VM!%Yx*d`9ei*mCK#neOg1z*Gkl z_Bc5^!{*uI$U^s-2r&kJn*;U2uS^ozyfI}})v@Bs!h!;rmwOppnN5(UEBw=$xoM9b z5fSkUHnZ;XV4jYVF%I%|r9Ms`%#eIeBnsN8{O!psCE6UJS7bVIPsM-3Z~rRY|5t71 z!NtkXc@MNSptVn}opOY(5|N2n^DVRqT)Wfp2Z3VZ^slq#DR>~z4woIp_jU!boqjpR z7b@^8`cyi#+ZMH|g&6pCrpkiD`(jTcWLYdgtdd=;LK@CV4=LaOrXZz4P?L#iJ zek?%MJ9YH>f!YLCnE~B88b1E3w;&9;N?6rJ7+6Mny28zM*WKFAv$G^He*UYG5Zv)L|c9K;EKkP4jvOfpN z0C+KGc4A9~&!qLFZdiZF&X{|vT{m+*uN zL@0VL&2GQR$%GXKhgbXsE4gSeADN5n7&i&X?ZI?YSWXQY5CUfUJtX&%c!$Fr$$-qQ z*|A{JsSf`6KImjERxu_nPHZGYr~wF4KJ8v3qDyJ2@(T^l13D#Mhq^n$;=>s$79u_u zWmm|S_5S-5x*BEAP`1D)#?N&2oUQaG;sip?Hk#3f)*J+A-LX_Rtro0s_mu;`vwq)0!corxS*boo6HyNPU`p#ce&x_&SVyev6D6$MJ{Gt(O|2_D-%4` z%}(y5m3@OC&#SsZGjLywfCzf>+`b4+-f>z^y;L`@iks=xR>_j06hz5asCC&~qBiQN zQN%$|oIO@Cfh-j|eBNe4(>zp@r6aqT{5yG2A~!$W>^e5+!7wSH24nZRafykE@c?sU z8&*OYbk3_@11)8tdePtAb4I=T?<*@NFe#dhtn9M`-H&z93g~|8RD67;r>g~4UetO| zsh7j^sD%+^(`)VeS#fNMUfML zuP1?~2p?N0rgc)dEB!ah{&Cza5}hknB^VoQrLTTgj{M>6G=j-l2oqY1rSzx)6gO{7 zI=Sh);ecjUo0kBNJTFByHD+lDxyofP)V!RMFxDe~y;xD8#_Y(PIyP1aix`W$9B{@)#wW^ zHBd4BjLsXKh#QXidPwIQ2m3GW3e%9k5}clP$t}V3ntVlJZMhxVd%KD#s*>57b%*%L z@x$zu)}Ubg@XDYp$T->}+I;7Il1Awl(JM@hKAF!j-81YDxDjAHN=1e3*sG0W4DlmeSoJoqT#SNg)3x1H{bw^cfo#9Vht6sJWanXKydi2h|E}f}O6*FhkyKZ**p{e!$j0;c zf}2!n1NabAB?c}r%T9k{l|LZ9T5Jo%Ri`j0kV>Wrm-cx(gL|5>{{{(F_zM)MKl;9; z5Z~!Fh8L+E{wiu{L!K3S1w2uQ>(Hue`wdf+*_m&Zqz&xrs1Kv(FVjeP(03fhcfM~w zJz&jg;l|1iqn5yx|4K&E)cZyIW53-TPAd+*j?5etG!>1)ylOcpb<+;4Y4pWGJe<`PT!lU3d+jL z;=UdX2zU;*$|t~N3j5rE^$QgE$KJ!BVpbFv4?Ki1{qiQ*`-ubArps)&lN4zr0+}1l zG9fK*5R_kizaX&6a*1Y2$bX*iJjDs{5#`mwwbbTITKBl>X^RjM1+YVuH)ua7AEW|9 zt|TMf6a6q7ZC$O+`ZvJk@o}PVJ>QvDKay zssU#>uPC7WYpdvwP*#Tf<54c)_-496odBx8n^-Mw~^|br9TI^{n&%%O|v_+$)TywqpPPxn9B~7em{&0 zLfhR0q$UqaO~I{yvO5*eXl!(aAZKMwC_yE5i;Ka*0N^5#D&KoA92NsPPftEcNpZQ(+3v zpjrB1vRE5t9P&;4jNOs>7A%8i1A9Vo@&Mk10nB<^uVc7T?!co>k13`R$5L;Y@N#Qf z&?8dy&@NjlV5?qm;TJR+%CIjNz|He>CUd7dEHC6@^P&-IyC?cw6|`x%ECz$%owesk z$Cm4qXffhY%cpb!T4i{pJ1q6w0LaRXKsgHZrg)!WrDwZ8{OM8Wx%aD$_4R9vL^$)R zWS{_1F)$bg($i!%)0d!vApx!py@C6$S)H=1IX@Bp&XLzRZmGpw;gI9qXazkl-ZkF| zlAz0e6L=(j7h1G|w6>73vemH@AA3bSKK!ydD~oiJV}e5g7;D~EmGwtqA0-9?8z!D z)_SG^)%iPF(}aes!HdyIRigbQgYR|kWqx%4-e zo^E*xIZP7JGHq37xm2XZI$--0=T-i?BD9*DaN#^KL+uq5{<&OqDO38w~wyab0& zI#_tsn&7Ku`?n#g+a`MoIo#X;cmN-bJUHBnLSO#Az5$vIyn5lHy3ERr9zER#V%6Lv zVLgvFtYlpwV@2mVc-{`qmwuJSOB{$cGh$Yz_=MhMY>i?aF6{o=0ksJF$P`&L->r5$ zt3@WJC!Zd*NYtzRZ(IlMdkKhv6Q~fnt>>K;UT( z@EU;SfphffTdTN;vmHNS1*1-Tau496|1Aa9`u4sN~63W7f8 zST)b`$+R*9r`Xnqbqq2cl>qK<2)4*$F^^xzOeM4bVwA>;1#j_2p5;*!s5k~{`B^1# zhq6I7*?I3=;KHqt=#!P{X1~CO8^EeXfrEN~(7io7_x?Sc%n<})@gsoK>f3A5;V_m~ zDIoWrWh@0y08EqEj`}VbhoVY8z%nz-1=I)cg1>*55PKUe$oTK=?TcGxeii_53uwrRQcIOUbGXk=;$qIvydw5=!pVZrha)TC7NrKN=)c?y^ag=vAJHN5>5ZO z10&1VfK@=(k`$G}+T;Msl7O*qsfBj3Lzf#`& z`VxMCjzFQ(G*|l41m|!$pU8D)Xh5#ix0u2hxk!sj5wQKfpcP)6e@c4Tmn5;U42m^3&2F8su>v^eX@;*S$akrSmB z8pA1ENI{+L0OUsc+_`Mj6^ssC4$nZ}35*W|F;ud6Tvlq|DX`P!BZ|JMNTQfUS_v8e zB7{}WN+_D&y8Jz6mMVRvI(UX;cNv5jwX%vqF1SdP`zm8&U=w9;gX)?tu{kK}#-p}Z60Nxcxs!+rY+b(H6h z|9TooA91v*+oj zGB9aJzp}CtTx=GYPYyh51TUsd84a3wgOx*ve{~u3mG-~C^PUP)Yp{Cqm!50xyKvx` z=}R>G?>1mA2wIba-y+fGp|5rBU^m@TDA0BN zPNyQu;_{PBIu!M@LGJqG0j{H!*z0Xd?5r13ZLw%89;lORr(3mkylT2j41~lJnW^4- zZ@+$$td>o^+yJ24wf76N39tbM{u=1(oK=B;V8$yg&{})72roGz24=NemrX(Qi@9oc z&5WulE4QF^Wrycr4b-p2$V$n}i~m$|=p}Y9_dMNrBSFib?PS4KRoAxOWc=L0Bdxj8 z4}GRa{9U+Q@Nn-zWmWT$W~*Rx4>0W0RwkZa8XD$KYh!n91t7>bF;ruMV$r1a>fvgvL%D{X?-BtzGOl6*VmOesyq1zZnUDo zI2t>}Ya!`}x4^W{UFZL}_wb$k`jrvx zsLZ*82KYID#8g8EtaZ-nH>QC-Brq^A4Y+{vC#=S;xEM5wmq3I1zC`2JT#Y2z*i+2d z*f@J8p`<{ch9O>t%HR-!S`Nq)n8IRl_vpx>zdwgVu9`R%+OyKROF$_ed4BNokS?FW z7Bu8r&7nltpJH0(?DZp{J&~dQw)l}~WQPv6Y=>s|OLfEBuBWE&?%!0XNK$347oU0S zC0C`q=X&A08(=w7$zk?aTb9mQ?a26IDo%PuG#E8^&Y-(jdw>vGjek;7dw?z)RfX)~ z`|7zs3(dWPsEe2Q1>%VfmG7=E?X*;GQE3DP1`Rp?+;~7oL`7L_kLI>I6QRO`4{tffga>u4taLwI_yo2LoXuiudT}u$AOkjwL;w<# zYVH=8?=0}=qX`ytxzU8kKoj6UVw)QmUOpTxcYVcu)}59C2tFi&M5U*Xf1f$z*TMz$ z26nFITqNORw8&lwhzP3usb~ zZ_{PKW)D_iUc~YE{dH`&hk9zo?W02!r3uBLJP9VQvAIK34$h-ZShpyk`3dimzArY+63WsIUT3cw3>y&;F#PS1hEijQNzS;L0>4z!JffT*coux$(PjB^N9{u615PySTRjlTt~;k0kEY@foEX&$$!!k99LmLf;pS zSDWMjJglLuhWLe%@@_CYrw_#TBYm9MZU=4cZDs?cbFR|583_U@z_wBecib!OKha&B zPYci}kjNW1QYIv1ly_zH^VT3KWbWQS{-Flgu7IB!b-Pd{NFNqasbL9~h^B@ux~Plb zbxr(uLpog2xQ+=*LaY~Qm5gK~Uq;IWpYQHixMPx9V{D{q@bH?ED;-H0JQd1egd(_f zdE>Qa`J%xhKgw%E3F@A~`OC;Rv+ccZvxp(%H%eD1c*g=RsC2Fx`)+8(pw~4++d1M= z218Gl%1aC1WpMP%>gy8&86=XKnHe&va2m|DT#+{Cv)X4l)glIBve*DO%moYTTUm(5meE5oQ>u_I1sHixQ5Vkm3xY~(hU?2(QZ3b_5Qzd485KjjeP{mdgj(ny0R!Cj z@bP28rp+-4*JT2Zmf}8JoG>)vcgg<}jgY3LkipJ_|t8B~W?YMw>d zSDLz_yRda#8ElTnRs4Dro9JFfURV2-*FTWZJ94EsfP^x2E#)6=j{~}9b6b2x`^V^Y zPj6+~rQ(2$xe0rs`4YBXKmWxF%ON>gVgExUZZ4fHm5{FkD#PTW7PbXPfm`35tomn^ z(z;ItG-LEtCBhd5Grhu%OjJl?}15I%GQj?81D*xJ-0h#i+CitN+GC2`TX36 z^71@cA+FT-qFScFM5W`STBFr9r}qnmGQ!U!8y_AZhgK%OyKm_Vij0?kG6}YwZapNt za8)0?KNkR3{#q4`N5IcfRYmXv$pwFziuYf_y&~h!u+e=nrr9i>TlL@-iJL&OF!XJO zQ5etrUK)ixd|W4K?2$iX;hxPblK#g7{&i$VB3ePTbt9U5LHWdq?XW_|+(k=S@gI$$ zwp!nj_8k?wZJ}=-rqlNK3Opx=>4!W!?x8%K2YDEx)gsC2RC+ZhwlaHMt(EK7-msO> zyK46%bz|)mSGvcNgxKNPis&9dzzZqEcf!SFIrvIkQYYeBU^F5SRBeB*Le*#}9b4Sh4 zS#AE!();A_9gpgIVdttV<}WtP0xn}ULMXWl+1J898r=*{8rK-{z5IH*?Xw+&+_D-^ zDe5y=8Clo0p{IVZf~~p%wdUi| zlfyJ0s%*^Buf&mPUwY(F^|jX}iL+4_lG83n5Y+s=q0w4u%Gl-VxE$jaMEB3BxP zX|CW@p1=#4)PWS8Ghw%)5vzn$CE&W3oatUFZE8?;TR`?RS>N!%+a^K-n6pA$ra zEX?RLw+_!N03)+l&A>49)^DS4Kg z=|XFCA9d}`N7KM!+*m8S5VXx0usv&s;!4KPUo;t@?tPbQdPdLm>KiQv@&i0=+>CX_ zt#&Ko@AY$~4@Ft2>MwB+j=lLN&b`?zG!x-@(8$F8(AP{={9@%Wy5H%z*Gu8fpXrl< zYtd1xq@)hCtVIlpAV}B zL_CPXSyntR7fx>H_iOWL+aybL@;F*7nc|e+>6pd@&ve%N%34?gws@-xfAw~6Pn_t( zx|iygH7X(M*+^RUkSz$Ux-DKbny7mkw}o9+lneqozYD#5?7cZo1Zo81HJup6D7{!7 zb}1J-(|O$IbIcg8I%7`JfJjbfN=-K*E~EQ({h+&_5gmbO#6jZOH1m6YlV;8BGW8k> z6|i_&B$G#jB0QL<3$*YlJE==vgey9&~PD;w!1C z4aJ*8u3e+!I+r)bVPD?{kK^NKP7{XdNM=cMQ{s?+Xa0piLi`EU(-r&9!Q-`8{5NUo zmRDm0Qrv;?0)k{>0;2;&osz3|Myk@>(1DXJe4K&uBsGjPV@orfS{RRE)tE$4-?XT$ zH|E1D>*W4Z>33Jxg4nj4OEf;Q=yUPRBM)$x5##6b*)R#o@mM2Mn2rUHCb9LmRG<+{ zgwlOYZjp4>zA;KzJLp(HXJxD4fxP6Pb3(!CC<93e%{zrfy;uT7w)sS% zdaJ2{@3mQ0cD6ru*8ggx|I<=u;lp}u(2BDIyEvFklgeY?V^{Y~NnO1gG;1(m=l|)3 zS3Ur)%?X$RVLlER6=NBx-R3i%uWU10O$V$4|LN6vwW%)ljDlbzcVNqbSjWzeSySH? z8;E1@A|zg-5OjfZ*XJD2S%AfhO-c%GH!=bpF(`#w)nK>8+`29N!<@e@IARC$B-u zbCV`#8=RGh4g(^x<0EHZ)W909E&_SvFhz-68-S35qA;99C(`gWr-11@0klb#QTtP`i@mGkq65b9_+bH^l7u~a;ON0j{6 zXrmELlxSB;9iON4D!>Pus;t$4GY%z}-tfv0b>{EY-n0D?O9@Kd<{^cOiV`Eba- zG8Gku&xo)XdoDaNoDuNmc2xEfIUsU)NjG`4^nyl=rmm>@yLE!k+nTXu25<8LMMmCT zCk5pmkR#`hmySlR7C)|0)j%1gtHIp0ehzok_oYN^SH79!0nsb4_eN-B+v)i9Cy}}D z*$ZaHdrwje8=BbQ@VtELq_OJJhhf~bfCe&{GG33li@Lh3Yn=WkPM?Qh+ z$XlbiNFe$2SJ~dQUh01jDbYLL8%Qxe6L8*;JE&hpoh&nq68*UZOpq|D3szmsf!c7$ zt1KmjK!I-^3x>0qr)w%Jw{uPDb%OSBzW7vZm(F#Z3$QB{E!CedFYSKy+abX)Sj8ZE z*#_%#AdQgu%wHGVR(g|`He2{coI1erP-fT4)AhCyrkWsuR)^Eq&5vk<3Cz>T!lkLQlVJy+$U+VRHa}`$6 zu%MBOl5atiev%5V4U4CU)>hZMd4@L_@vWy;R-Q*ixp7kyH5z|bUf*2&Cb2VU%zu}K z@uuxpN@^nW3iO$`&bl*fUK2p+8_q^$Ln0zzDihdw(RwpDCkQ-OkTRbIuOZ*?pV>*$avxaAMVYIIm*k!v=_Wt9mX^QZ#&+! z)rLAXQN93LeG5bJSFUz>i;XDad=W3DiK4YtB+|#$ADh!U<0kr_XI%W*KW4QUVsG}{ ziHsZ4KBYKVr247b0WzyRK+nGo$%cnboCYzBn6RwtN3bQ~{`^z6F_*S`IyySGHrArS z=u;Te52#b$hieM}E=VdXqr(^<=vvhxu*O~-E{;${364@{(kRFUQXJvh*Ni<0k-jvoVqFb8jd5G7Za!g zsAY3yNa)C@iet7T%Z_!*l%m0rzxp9(^y0&Ci!ACFzeb$)V&oP8Ct@#A|>o_cbr z-=$@atz_;Wd*A_|FHBVf?lNplG>q{DvXh2(M?~??fY7O3TeZm)QInB=if{=EfC}1< zjm!Z6@N(XrROJ2))9O6rz5%4zUYNFW(lapVGBkfr)KrnKnSW;%fl~D@OuLMN?xyRa zB_(N&V@WOwa{O^CzAyn<-9?GGr3EKWUD?##Xkv@4kZZh=AZmJ)Hol7xYM%Xp>>)UE z!2lXN+D|~gyBDW1VS+No!ATv0BHrK|CB#smODIVr`lVWvOf;x^YBEt*<(+GK`VK$5 zF}09HdO{a%QJJue#oAdwDN#P-x%b0NpHT2b>MXq;BvRVjR@*Z-eteop?QW9BY;;%Z zK|fP1XE@j(_d>u!u}BTQgr`=$p1cbLQ1*`TurnL!7q^FNXP@d$aZu0NU$eMB1fEz4 zn5lDfYi?i|b7L5fVw!VTOEs@V(G?3-sIw~oWBSeD@s2ARXX!BeG%UR!IqLp zCp#J0vL$0+V1&7D?Ju{~Vw++15)iSiUDUPY)|3pgCV;N?r^N{7;@lZfRs$xTuLMI? zGDcNz7&DV`GjBh+wX%IaCW*u6DP0A6uTY!27;;O8>9oGV_z%4zHOI>z98#>ATBE8i zcEk-W8wqMh{ZqSIcLNGNXNsm9f6)c2R`Vo!?+Y$j2kC9m$g#3K`JKFN6;W|D%g?4- znwveCxbwm+i$dTZKjHY%Jyb&s2=c_JzMG)FR``*n4@O$UX!O~}O2h$=t9hyqM7(

rdqwkNXfnAai*arw^vl#8F8d`u6?YB_!eO8BYU$TPR2SS!Xou8 z%JcXBy^wCpb7vf})Ns8|G9tqF=Ubi(b`O|@m+Qw{x3Y9)1#O9}yESv($6DVm+umCa}Km=M7AAR!4XXHKesk_x0NUF{k^ zhU%0^lxUoSgs&5Tg=J|JY1i5$FP{EiX{o6EJi&4k17q4^m=Kl)3O zX%USUzW2Gj4ikNnqfPE%(#0ot$d<%gHCT+bZwS6&f2eehJmdO~#-?rmi?W_}r{v;8 zzjZdVxyvU45aHoa@+I{qa_O24H^wRg*{Lf_2vFDmZljk|C`0{Yi9L)Q(XbKveaE7q ztmNjBAdl-G7)5Q+-B8d1p;zBhw_@Jr|9sh_NTXj`v%)iKpeylC8+(NLrU3TXpg3iH z-F%KR)4kqWNt+#lq;kvVcXsVkH7O#Sr%Qf)`Nz4T7)sZbJY-AQjDQbB6~~mRoekc9 z@dbI;7%{?eu--oY@mL^o$A51c^9)rDkz=dDVh+z-Q8>&aEIC(GK09l&r_dCO1F09- z4|;&8Q0H;x|3^PKyZ^TtFdZDzWJWbQGmWm+{*{RaULj@!3CDo*0&C^qQZQX1NMX}2 zr8ZyFw(4{>;of(*mSixmv2?qpE=sCK%t7)|S#QD=f%a{YQtXFlv0Pq9;+mEOjj7|l zoo|bVkM}pYqpRe}jy-4+5pv>r>e4aq0^%ZP!7-P%;$-k>=aYR>BTzXVuiizWskn5E zuIkVrB(@u&<-#7LcSW?M(ZF&*V)pPGXLRr7% zp97u2D2eUZ?Kvv+o*%}w=bBy65qB>01y`h=o<=LLD$(is`YwOWOYec@*MTWwo*)Pk zs8=ljuQ!;)*6BX@|AC=a&p%HD2cw_{h&l$sZW6F*X&1rsh9Kfwb#*nSZy6{pF7^ey z-p3>-O9OdCbaZr1PL2bZ{vDf|IsoIifez&U_R`+L*T#m?tEE-B!7`&zN5J55G4t&` zV9rX&oD)+t?iW+0MIe~85p2oU?>t_ z!TF*c&X0xol$tTSnB7Yam|=d5{g^7er)GRIs$gWOMJBeHtwJvy7G`AO_H*%uBm@$Z zkCjENqwnx}SF>f{>sXnITJhtAVE~#f%P(*daz($)yt(ZGH3*JBYOW|ct1&(%byZXV z+Rx6MsqZADePzkO+%dL7&T6@yk=>FsS3`q2+IaeZc20Kj`0+ofDIcDKM%En2dm{QJ z!|~opNJxOz=f860kZ>5`U{j^!sYSpcKEF4D6_I?-KTI$^Z$JOL`Z?oEZR&TyBIKhs zOEHjVcav1&fzfzW15`+41hSE+n?2H<_mkV4^wg*yTakTew{6i|LEh8h88G@9 zaqVnn&U(1v{GRb|G@X>~{fX9YG-=J}{ryq6z?aTZD}0oODgc4lnEIJ!1{*^B=%ZaQ zj~uUj!e?6xH5n=jOx5}y-lP)LzofEGc*u@5fly9OU7d@*EI`dS5ry`aU7=5As-~HF{siS?R_qtb9~tD z68{4yO7@kExub)4Gs<}Gw;j=G{os$%5JBI4tVXdQcqVS3YR8W@r%=5ANRPgeJ+g=6 zA1PUuBBfW)$i^c2UaEN26+{lgM18O%;%t=yIESWrK`>kk#0XOVfrP}y6A}0LB!;h+ zsY zx8MRTr?ce5rSx`9(iuO#AWHy(G~2TIx9wPMhpF{A%_+bxhp-X`*AlQ2e)wB~fC98V zu&7PG)o_lji6UH3j`736N>?y=fl;@X5quC4axxW(7(__QN(a-Gp@$3t*;6DQ!dE!%qFZaTTsgp;U0(jZ zu#mpAVS~VJe^wlDZ!n3>|BJ*>26PR|eD3NJ+Zam4-DCX^)bhVy#gsEo%}{4E1LN+L z>Emr?Ds%fx;eq}_;-6CJ-wVIYq(}>I4wbVG59c-z+&Xtr4T@@}iH8)MPZ1WY6J0Uni%mhJG*uM=u*2Tk9jv zzM-);_Jk{H8Z*z!^lx#zGlQDJ3Ex3^pFSV5TUR?FKAV8H@_apBP08AM#m$>_i_0Y> z{_r*6b} z?4BO>F(w^f!9rN!2@0d1ZstkE#VyS$FD8grX~)lVS*?{-Nc?gNI{$#QET@GlE1|{W z#lW$3>cQg8M!HU3K!AWN@H@j}<&}ZwI`)FsF4N8VZZA0EVe-FMNJv1YZ~(XT-%E3N zp|+JLmtYEeC-9K~#edi8F=xK_)pC$ORy^DvX2#9ZP2o+YcgbbNKZ;ZQ?k))*T*t<# zW8<&+a@91Uv~Zks{orc?V1Tn8{z@agx2gdX7b8v(cA^Nn`=f9H}6+t-2}K=1Vw7pQJ~y*@6}d%1=jH`$mOxX~%zuX5Dd3$HQk&N5`cXEdj+ zRc~p8X$C7*c-kw#B5(~@nyVeS9`DAmFwDkd(K@2kb=hHIxknx?%@^GSzg{0kjU8mk zddZ<>VS*k1Q2+iG@oIBX_|2wKMcLlCvQYhgdqEeCB=_yTmCXeJpiEnuTqsl}E}}o= zqLuuhZTreZ$l>{rX=qa94EJNApka9!WY9rV>labV2bgJBa|4U+Tc_HaRVq&gsI&n) z>+xQV8;1(=vK0yTb5YPx`+yPA(EL-uP_zlXs@gGwr-~VCC z)UK>NAFW}s1jsf_js$$0vC+}(;AHg?f$93(Jkl37gc_dgRwDL0HVQ@bBc1enY#SQF z5HzCc^pRD+$Kd9)QJg5%V5QT6;l0nUP>xeaPl7rovVi;o=W<7P%tcaoq;j#8q}#gJ zylLvA-~M6cOcXpt0WxpJ|8AlusD#$gXC>1bKc=$H%0Hy!A(<7;|_xcLXM$`uNfu3DyEeOvh|gXjdT$V`vs4C-Vl zJVzcv&9UdcvAxZy=TAuN2NV^qk2+t2jBa-iV7i*F{)lPca*hKVr3L=h@L!G8hhXg_ z2HpE;TU(JnK8;!hbM4IfVyNa^#^l>k#jn_^-EldsuoV)Ul;>ZV-k6SCc|M+IYB$({ zekSyk8aW5*$SugiQUYSs0uk^rgD%$m7Vp0Hj`%~dEl@g&HDaCX!$~#vKXlKwSdP;V zr?Y-mh5r?UMG8n2B(m8T@iN_kd6%29>uonBZBBP+tq+U*a3`nqtm4U1q4pm7!z{%{ zeWB@h_2xWYB`LDQ0`c$eV?sh%>%8vTH-L+PA>Rlx%2W(>fD02JiO0>5$Rs%y<2-f% zcG;|bEE49|TAOa31cQJ1l_AE|Kv{&9z_svgxq3mL72gG=-|3|P%JJMTp=>5XCwC?7 z_#WR&Mko9BC`Cs=yCJvvblVHOVk??tARZTmf=`%8AM;h>MR9&kXbmB1xn*CO$CrXt zc-EWhgDwep5=N>35m&AYYR#KJ19aVX&fK(N)p)%2aw5WaWZ95oa0I-YkGX<^gorxH zr-^Cq^ytek3yX+9U7VY9+YgYl&vk`=?A(qfkxf!haKjM|_|^Os(dl&HYAFl_D_#xK zq$`-1;YY7*EJ6NMu#ToX0NsxJYM$Nv>^JA2gspXuk0|2nThi|@&;3JfYxYfFS~~BS z&W>41tRKen%gpH41PMCsj3tN_ z=e>k4Tkp*Lm9yS^yDy(q!5>fEE^Z#NQOLXR^{vhXF-sJvEgggDp1AlFulYpB<0si~ zzex)=8oeqtO;8oKmU5RklleKku~sT6Le^G3s##}hPx9=B^7!|@s+7WaAO3)?;$rh> zmxe+aG>f|5Zj%n9oF&eFYT8hiF+rbv?)kBN=!|<(2G4ThV*$3l!>P}qii(@d(%;(o zAbd8;^jo{sxn;}*aAW7rF5L@C`S^E)O?A09GlV{;mI`gS@=~#*=uVmbT9$ ztqX&GBn@g930c~M=0e*-D>K(ck4(s;jlDm4IQInWl91&{MFM>Ix=}6+#y(C6dX9O1 zy527%;#C{`^1hojtt_C!NqFKcV+*K}J_Vw2T4SQ3fSBVg4|M*Fyt3}s%6+{97Qc6ND@d(a1&^O@0FA%9wS zG?{>*`gCz~`-}j&=kMJDv%3b-;}3J9DI#DWpp8et)mAT1^YDe5Faif8SUw5N`u$7o z{!biuiC}(5FdZ|id-WBp7XXn1$uG->%sGGv(WpBV8>Jr`F_4nMpOJk~?vRt}Q1}ye zQxzgzQE{%J*HdK;3PaypYgm~e@=zJ&xQV63fTg<`Q5jt-NerYb)3V zeXU@jse#VLE%2<7T18t){G%J+Zdm`nEc`}}M4#k9Agjs3lnt+Ry7}$$?W{Sawi9F)~0}ow!PIXI)4x$fuK$u_T`kBv?peSXZdE{N*{26r*W~IBkVQIGBv%mSjGvFu= z_wL?3=Q&S&V!%-#==XGY#ug|hMf?|}-!a+E#HFbInvmA_|1Yw&Z#mK_=7L)=-7(YW z;O-_Gg_J!y87|mMan*(>Xg{EpRLK}>qc|#a)I4k(`oOboUSIDJ0iPOo#qiA` zMA`CN<2Tn`31>)|Kn5tQ$!^MTsTI z#EM=#2UzQ~y{XutH2za8;SMPA`YFN`AC)Z(fiV?)0A{yU)4-sE1$n^&}$cAshffi2`T{I zQ!;(;A%cK}t5N3xbL&DsF2*~fG4*ESy$aPt#%U?l&?^`l-ZCPg={bKPseVZ+P2lXa zV^OGnV@MmSDR`dc8KN|)eV6xY7m|H)4? z@yCRkx*qBKzWzd63KP}^!g6%cQJw2#@?x;wI+=8O{W0UK*jDFfut9Ws4)R6<=c&4- zW55Td5tq+a*RQ*R%DG-XlzJ-4pNvHebq!k-UxtBii1sVOZvVz7+{IaRYF54GOY?LkN&KopSk%RK&UE3-u^rH5?kvAT}PPM#8a1aFk@%CKzAGKb^#Q|u85vFuJ3cU zfb7i#IjKrM7khk;H}=uGLtHs};lpf$w(G54 zUMGhSU%mPLd*x&cdhR#h$&DbSF>BikQCPcykK{xL#tJ*N|HWVUW5&Bf=BDqZUAnYa z7kFl~FemU5G!>L1lpi^r!lGjM+%9$ky!Ucz0{04{_EhU@0y`o0)puG{f`%5owRMz! z2(DYc&{y(hOLl)S=Sg#606}+Zm^Zk)jDAm@&fWLEIaiX#CK23Yzpd&79tlM+o#I_6 zi0!}tc;LfM97*K6yv~CQoKv%f!E4jfN5gD>g9>B1?>$mACw5 z*am(W^xWt;q_a5<6vA0pB`g55&7Il{*udJ<0HK0MAI)>#$mV9AGGs_f8m^^$FThvI zwzG8y%(xu0e|t6Q!lo}GPFA9K@h*=fFM0Ix)$ZLIiL<1xM^Vx%Loz=H#P5u~Y8~OU zG0G7zlO_Q41M=up#r({7_U>yIV%?ASRNlEFjF|F);Imgk(W04Yv#IUXb%}d$W%3@*IwV8C&j+xl1?HdmUMTN z4GK-s$yoetSfqYZmqvfJQ1-r>22`>eI~tkmt&3Ilf96c;%Pv{aZv8|VVxW7+RRsr| z8~c3B0hQ>n>?x3+P6G3ayPRAuB7OItiijfKYnRRqeC74~XRD=@A@B{|@?9PtZ~jy= zy?#CT9{RMG4p|+@KA>|Xk*m(>(f$_iOy$P~UGVYF6!+&lFvBp3y_LA8f=U|$z9p8q z(4IAmcCvuyVy`pS&8RI2KX!QUob0feRHcEkLb7bkdB>+*}o67_F7VkpY(V3=nqL7Tcm;!@>@it?wVdhk9xn6YwY$?7>3inrN8}ucV zeuVg3n)G(FhUuOykN~+U4F>%6Y6%mcNfN~yrjmR}nKWA} zS9q^8u1sEy64d%RMIGf!q0zx-pmdq~VLh1NjXMtV(3Z%ES}spb_M0=M&c=ek%2n-K zIeYa0_ucj*Q_IvmD?cZAV>7R|4CB9R*DIm zKS}<1n>+QPPBi-?=vS1G2aB8j|JFean!@@%=wmh@mJ#YwzJB;?~s0(mPxPn!kg>jBj)8HfQr7HGV6fn^>8 z^iU9)e!+V+H3?6ZH%>^WX9xmfLJG4LxMHZw?l&I77&1})ZwB4jL0!$LSy%i+_SbB* z=>w%?U4Ln9I#Hk5#c73tkVw}=Om!NJ)S=ye@^l-Q^cdX(JwC`80*BUfu4d*bqy@`} z3rVr*d2SvELJ@(92B5xdMb2~a6)*G@9F^wP|NeT|vf6NwUsWDV;e9+3@*`nt6zW9C zZ|Emf!AbHl_4$)u6Tbs8a!)FHFvDt0&oX@Jv)|?Ik3*rL>qG3}f&TzM>2wjI13%qu zvF2eK7P5LlYRDJWNus+rzf}7Oz3oo!e(PfBq1N|b#0;-6&SVDsG^@FF+VPP3^zl+o zLyxtT6>Ar*FRI)dS&^2Z%uq-%QEOw!LbZRVsa^B* z^Il8X18tEN=tJ$wfGyLU+$f~q;fB4w*C*8_14S28x&^;3x1m9o*B%is`LcZiBJa#} zvH07(S%Q?~$IcCrk>YQ_n}+FVMf39@$|DMZCujktu|ar`S4}WCq*yZ?;A07P2-X(> z%OL_7M!kxUGUXln#Gt=qP`7nFO=NQ2@9H{m1*=+eK{o^?2VTpst`?6^&dxNiynqcF ztqZduK5$}u+@Fq>Qnpp^bVS5$ya_pGW{0M48Q)}j?Ck;dQFvAoP=KeYa`I|DO0Hq{ ztg=}M%=B4PZ3TVI95bd~*0lvpsd--#S!*Sgf$J556|>gX!*1HHhw|PEsewT4`qsWo`ROxL+1XnemlXhr(`@6&D zEzt)Lm~UMnbD@<-Z=YU@9X|!JAOK7UjHH0Y zLn=sW8a?*90Xs1~GSci|wkF-T&|YMg50|7V`2sFEAE? z%sn5U5Hw(wrIj?&^C@9h7qr*asU%3m7Hy_=P2Px!4Pw&7I+tL{@LElSJ!>G_Fll$1 z#1Uvuvt$?BGoV<8`n%E$uf4AVBn*@F=icEzOIIj4C;%8}eKj8+UYeE`z;_hU9?mAL zwV=c@)ZLA1YVgGZyh@fD`Av|Y+i*3etN62u_rLSSDBYu#OaiFQp~iq#X}Y%_(Ltmp z*KJ9^$8EKe&u0JEvF5`F!wGcKkGDz?7gJaeCDXgY>rDu=i{JvoNm}@DDIoa(iS40p zv{Lm)t%zg+mzR!pX;{Z6K<+;Vf>0cwhhqud>Q7+Cdi?-LN9k;}w^vtMI4Y}^_xMwm_JPenIp|CLnwS*Q zt<5o|$r;*wefpu|==|rcH~VvA-jbb9yF#=A?|NOMnwcn=#SnCWKOsZ$=fO9*Cpm8p zg!BZ#J2Hl#Jix5b2cQ~(aE57n@O}5a$!IKWF+Dxq5^ANa{J0?9^#MCT8Q-UZ0tqd8 zrR2X;CXgWj04L*j{9k>V#*d&0`KSJ8LJso>iE`5LMnqHi?3yIyUONmt&aDVMHLQ`H zSVwGI#2eAx78;FdZ;yJkzjQ}YcNxWVCd-PZIROy!khb4;mFUYU!@T#O-%XS{9f0{z zIA5OHr|bwTwIKCK*|Acuo~JodBRgq}by~S4P$+LoYAXSW@AGqEyc})*g|Z`rNDZMG5kh-U*;mtcC+*1)DWTT}UeIT3vkv43uP;Hoo}5zpejc6liy#$+4NNAK zM8sGOV)eMA=WO|uU=ktfxjHV<>Iq=g4q;V_Z$Px_DTCbkFyBz{BS;^XPuGNvw5shklqfX;0id$Ye|gjXsYl%5X132 zV*aV9&m)vU-jpR4x`>MBNR6TAb^~3s(QsF12*(L0e^s`irq`R2wvv;?$e z#k!m5gPgP;vuK{WV<#4&pl^F4yOSjpSWqc26qJMw3I*)c&=_J^9p^{g`Ux9DQ+IPA zxHbBH0hsjA5un^DgBZ=6Es`j+Tnh~n!N7pMyRjiYKdG@;6igfm5U)E6W+}dXYWv0n zi7&dCq&cb!E@t1uUElc}ESXd}b~&2Nd}rt5{%G&yh(-twrUuZ)il5m8ZB(|mN6&jM zHDF+i0bz1lc?6W0#hn1Io%;&+TEbtD>>CmLNwj_a$S&U0R9iEpHMQvFp{}R?)UWJA z$Cuk*zI+KzTr4oZX@QF0j!P!9{hsprXv@dn(+$RYq$JRAnR!V}9k>e%otmd)*vf2R zzZu%Q_eMHtFZx_7e6f&Waw^}K2FhN#90P5U7RkTOfk4UBbJ@?IpOHNx*T#A4_M%;E zt!^z%P*Jb3zIj2Ao>DZi`F7plyBEGcGSy6UQ0g5uTj-=vA;?^93I_EZy1*GXvWDk; z?$F~hpv6wK@IjP2ZDCN0pK8dBd(#yj(X`@8PgC(qT6KhIw`e;hC+_(v)S!(usU@7; zDFDBpz0W*LGz{J~RWfFcIbNelciRj^wl=5E>eJwyk`%8N{^#(Btu8^aRP?rv?B4GS zUW*z-FSOgZHmV_X!wv@NpyQ|P8uoik%K#htIYPG&X)pB`t3thq%)pK7 z7q}yQme3N4iXefYX#1P(Go9fpxkn8YdYDK5w0b7yMNZZ#YL;Fe?C0%!ZCiIAihb)T z$m-dmVaq9Oj!-vKoOYRi5k-RA5&G;~!iITL#yheaqo;y1d}lY&swH&NUOWGP-RNYo zcZyE6%qIRegw2h&cht3X@p@&wl~AW={K+j{e^a}rTa%N>E{47n-}U#Z!|Mh2TpQFR zV~CfOitfJRh}kc{fRa+{^@ye=2k->cw4xDC{uw=1#+{$C8$|d}hOJlYI+Ml4X49S_ zQFCsL%-U0&J6A5=^V+M0EWR&&Tiwgba<*)LpSo-<89M@RE96!yL9%O~M3nf4*KQEq zwp9}*fe+B9^B5SBUbQ!?II{kGp+0-l!E9@^X%p4EX_u+b>(AQt$^e}la&guvzhe4!zvkXfx97y#2yDidi=!g>Q+|+}Ltd9TD z0Ca|rVQ{SVG`5jpGnUT@nEY6~O)Ndw35p6Gn-MbH1lXQ6th^|gm%e0Xj>HaGU&RP~ zp@ATu1~8musv^ucQhDu?`5efBhHY+fag^xAbP!ex8MsE9*3C8XCIVFfXP|C~J#xOM zrKPz;v1br47R))YDw|RS!~w71X$$?^rim#1xN??h!tBE4&#Sj)1d1*3uMyCQ?$yD7 z)sHcmBKXQ<^=mOx$oB&nQxtPoiIhWNZmJD;CwK80WIm+t|C!kbqv zjYIqAkXY_Yp4c#UVKzFK2XRb0nkK?h$`(XNNQ?EeP@s70CmZwT<06t>0EL{qDJ^7b zGC97dYE;g?l~KcvbK;$z<^+jkX3u!5op>fmx|3Zup+oCim8lCP@g|5K$Py-^YOPt@ z5+}LRx;i~z0fYRJI`EBGq#Ta0HXI&aUYFj9u`B4>MSFG19{2q?{Lz+HJcE}kSAjC^ zmDW7Nm2}VcTQO?Xe*0v=jDwI^Mq-SISSGuCTFSx$*KQ!~Ik!-NSo{+M=7qhY?S{!8 z6HoDF<{UKEn8v8D?uCuD$5*k@3&Uijq(1dz-9)8fT!`<|j0*`l0-PY2qU1sLK8vN4fyYj|EO1qT^CtSUTkD%)nf3^CGN z8y(_2yDSC%T9KT58>|+MAp~_!>1DVFjmD;s&CMdl{wFe6S<%$AG%%mB0^Ao;f$g6` zI9SujuC6XD=#0{}mv)ZQOrL?d2dt*8EQpGV3cg0Z(h4wpHV0A)Zz48;G|^^p)$m8q z;B|mTnGafWTe=p7R=|Mz)5F!D_S-O((x1FUxY5oh03 z&TA}!{>1YWuktnNQw;)ltLUX=Xbbs{QH13ni9( zIE-NG7)C&2t8<|tL#!i9_3T;n4`M5qbFHv7&%UMq;>3In0-ojY??s&RK9@(%Hyhh8 zAc{I{H<7uQ9}d}>XAr9lvj=8%$#B#_B+NVW);yeG|_R$za97H7Q96< z%!;Q){Ke8|Zv2^)3Ssk)-&Fp~A(g+pVe&1F7QK5NK#OdBG2_F=#eHBHuwnW`ho{O{ zSyTp9<-H!Xq-&@>ksZBKeZT2j#>xi=v)>(WzdpX>Pc=nJVn9#nPXIZM{%vb9$Cpux z6Nb_C6b;rJjghGQB3c?^H%PKHX)Ko;u@%82Z#H;@)*>ogUKh@gt+g4J^f zONo;Apd;dO&qhTBCMGC_8$+O}++oYdWzjxN30<-lQK68++weGL!0H|~YMVK52SS2F zg=l1RsgrtCv`cY|&S5jSlTZl#_ms8H!>cNn`sx<|gDIFOoP|l=?VkMeCX8gu`E*>0 zvG==8fABQPIj{16lM^~sGvVAFvVr0RS{u>#FKGnxgEtcy!w$s05I`}}-iBTFJRCcp zIMaQPhs_(ByzqE|l3WDdBV{BdkJ-i2Jsvr0+v6&0W3o*9yZ8msxAFuZF%I2YK71In zj!v@TMiguu%s!_-6eiD=h@JWP%iWopIZ211xf_2CuNH;TWs#MVA&Q<*{#__*8Hks1 zhwQm>rHC@u%Ces~1?++pRfAUL8EhY~5<99ihfg3hA*l9u(A3T3&<+-jF(&Q!cGv@>UU@Dg1Z0G z1ik1;lcBN#kgnen?6$7=ROuNyKC3W@{telF!!*TrJP3TU&KaP!B?`hHtf{Bw-Co|M z<_sk;PMb0{${Mu4i=g2n59{b3(jdrQxq6W;Pu$d{q!LP%d&Wm98D8?9##ky*FaLw0 zPJ-QT%IV5SV}CgJ%a!LiWO|8roW!iCMhGz-!^fWVG_!O~urLaLOs#ld;ZN zEcc+nt0jPdECg(kskP-<4gB@_Tu+AQF(2!aK?vg{8*7Yse~)%lRyHw1is5h&QMFm) z;I|UQtc&chrEc8tKrT*>#A>HSxM2dH3m=LlH@8pzrxBPRpEfLz9LaE~%t+W}${T-x zu8Phs7l_B+b;{(}Fzjg}c%EN{t7Gyx;NxImKqB zg4awT+Y;n<8rb{efkhiHiAa?s`{Skm2>^+@6m$Ddn?Dl>TSB=<6)* zohfk&oTdpS7e_qoeFr@ia=@oj`#uFCriyW)W=1`HPxV#)W0#YblHYc2Eoi-H1bj+E zAKgh!{o*j^`jAWDBt4*EyYUqxBm4u$HknW%jh6^#h`R7a&xh^gv)(>uj^8GHxDP5{ ztG|(ExLPS%O5r^y0@wMQ0r5+jzs>K3K|GQ@RQuBQlc9_w$gM2(@3x2A=$Ujo2~ic-h;1Pw|*O{4-NG!&L#f-@7|5n zyxUD~v2kVXL-7FEvuOV*$K9zI9?hCB*6U4Z`rk#>!hKuy#U-MnZq!`?m#EsXIvb5Drwzi_~V^%L1 z3Y;&;G}MVXoE>vBmOXQkt`V$X+?K566lb_` z{|S9Y4Z(wDXMJZYq4%T!W_R{}Xk>DyI5kJhJBsd2j4V=XW7gLa>Bon2DGK3BA@g*{ zqcVZi{(vl9ie*9TzHzf%yG5rX1F2)uo0-85e9rT@#aJ~kj-hWR$G`Rnk{HBfO5!cCa#w}X4?w`QuY5E(s0v0W0Mo7gM4#ft%U zLajt#oP01A4-SK%i9Tg`&fW)deW2DG{G|~8Y4S4!$TDqa`W^245Lj1`Saz__u4s(# zLJOxY1v0&A`rF~MMbil)VY{9js$u$Ywo)jSLciB!DhMpeja{a+lSx0HwH=slgE?ym zuB+hX=*hI9_ORf^QyjEQ;2zI7fs%OaQ?p;R%Hf%Xt`@8i7UPa4*l>0i&BrMz+0#La zq~nP##p@#}np-7fR?&+-IEPApbM8#w43{<`j{UP=i{U73IrVP!^%8Si%7~q@T>bY3 zalCJk1Rp&$d1`y#v_fx|ih;^HWZO8-nK)jeCk5m61k<$TppDU%fJ*onx(=-*A6O2j zT`{_e8FqGI1cWBCAJ9sdX;wAjf3i3o(B*?hEf6fl)mV5aT(X;JsWK8P=w~Wbwh?6~ zaxjyYDfrIMF7@BP+diGHU8p^!uCv&?ry3~fAcHIA#kdj9eff%eDuj8Up^Nj}TqwY? z;IJ-_uSR6mBFU&b!)vh*bX&2MVl40!SXKew95S4`xgkBPjIIP7V+EkR3CvXtJtnm5 zp{NT=_kR)@gt@Po@7M*FEzd>}Jh?A(>nZ@v)av7O%WBD0L=|=;KAdsIh=aPjwc?zt zL00%gRG)`D&;G>LQS9Jkk~+V7vQDrJw$?8PTV5fBt$mNry8YJapQ)EFpQjM5GLqR=^R+dKVjxbQZcryNU*z}Y?*x}brIPO12RO09Y9 zFh?4AO|jPP1iSW9I{fw<%zB~nJcIC%q6SnH!>sHHQVjB}$_n*&LN%ic1`)5IO z%K`T?u&V$2G+?t;{nUx-6sbRrqHgU7497FUE0 z8?dk#SIPTxADFt`d`izzdKXGsi!wAa=zGd=7`ph6b0U}VLHzJ+Qt|vy+HFs_=h1jE zjn21yrB?r&=$lgQ+$|@36zsE^I3@H$PEwt^!PYm+uU3Ot6#ueh4{~Go1_%F=mGRxy zYc$#x1rLXyoKThFUvsc^Ij9~K7>Pdu$~CAD3Ks-{>l)Un{rvnK@D7hJ=A1MP4d-n* z`+NJvUXw?^uWGzyqJbl$?p*J%{a8qwwM4!iO0IKlHe##N@BtF)s1w{{wznA`vQ3q` zi@ZuTxW{wnn7_uktD}J1S(7vS?eoY5=`I>x5%?wPpE5^!;ihmkud{U6=Vx%)8 z_7EnCJVhEgo%AWX&6sAbR32tLSzsZFRBy?D+9DyxLP__Ja=m+t?eB;2(;JN}4!=nP z2LxWTMCxw9qqzzm4}e3KW=~4VYICS6T|fMzTE33hFyz_P&c~cQ;TQFOKrnwM6n!3u zlkUh&YV7q|5TaL9+1MOM0tr`B+~ZDJaCpVtgktRZDJ~tLMbz4jV_9@xCqHPvU3>}; zM)Pf8?lb9cV=N|8n&x-W^U ze}JGh>sUZ}LSVJis6sbdw}fjW=7~X}t+MD5+KJ7n<(St?9D+{}==``$^x`RjF`UxY zP)42DGlL@(vDo;)N#m1nX6n}=Q+fvRR}AhioQUw+>C1^*Ju`P6X({*z(WQkg zTyJLGwfVq9u0dP@@`lIPd4lus-3^{8-}`v&(grW1=KuUaWD4JP(s-DfztUeGpR&=p ziFDJegD2F8_;%Q_B+oT^W{>=`YF{@JJRA&|%j~o5r?^^fU{5}umJ2q}pK7G67SKt5wv!#uQ>JFV%%VDwp$RsuXZ|yF)}$ zR1`EHR6Nu7rxgoWV=zX+C_(X)(%@(uur4L$W5Z_KT$3j=#?u-AxfN@|9khR&0Gu!& z6%MCft-Dj?b2D6*;=A#mqrgfVHU(yUve_`V^wU<0^=?MJU(?!!&__8IeD3(WnCM%t zA{&M6K?(eH@+!>$Gd1;N_H8F0$jo{UNX4c=vKcP>v03ndc@eT>;ICYwpx{*-6lKpq zU?@_;3Ya6FKD-zK^exYMum9-d&+15WgeP?PPs^Y!oot9lYn$;jHj0{(dq2wSRDIGx z_xr`G0uSk!Aye8{O{e+f#FF>o(uD^U`i=u1&Dp#N!98^rU^&~%8Vcv6i<-|Cm&uzs zAWV2xwAZkPF}4OhR_RwRi-9W?i<(fszpnxCP{0ckSMW56h)D`Yd{o_-XzJ#oR$P5?x0Lt0}Iyl z|4D|Ij;XC#Y>rh4p0wloT&BPxWQ0{V3JS@~L~qm$(nhbnRJs!^jt>P3nKcWI1Nmod04F*zQ-IoT zExnrRmpiQkn`JM@3EMu#AKenlD4wOr3p~%Gd(v&MW?gzpw{R4jr85SR7T0E3lrLRLs`(F>R+~k? z1I-X+b`^u0e10W2p2*K-9)?zGb{08gxw|o7XI}eeB<3|U0w;1vDNup0DDidR$-q%o zbce%6dRk1+kwcp~Z(LQ|mj;Tl`Q;viBe{{!4E(rF8stVHIKRsr+s#Ma(C2boTc|8O z_!yJ@{d|MPZ^8z~yTS5ak86x?E3+~Rg#_T!bj((gUx=G)j-rfG@LBkX_*g?Za2LwXa>=U!PT_b}8Mp6Fd*4mMy`VyM+K>cgCT{qOF0@gJ+do-*ma=W**7 zu>7~*6LVtw`rO>w8xW_k0d&vf*!2GWsX+PqrA|eBAja`T^4I6D^z7^~M9LH?@|}{F z;75e1(u{-LR}n`XaR2p-Q#Fmn>6PgK0-B%>hmJ!Im#Y*6=V>;9(Ei%lG+A{3CtF>R z*|6w0n8`I5!U*kqwbK#x9wg1oJ}nW5jF3sHO=!_ZbF?uLv5TIIWx;M@yp=4qJ{}=bsH{wSi1%u|%;5z$tSjU)a}eT~tnixn4j9C{pcfdvryMP=o|fuq zcWH&8;x~PoPTiY4`D9(^K3$9`* z=sSMY{4s7$S%X2XTe@%*jYH3)>C$k!EI}PYl;p39SzcvBm)->sy_85^`B4ehdQ^C8 zb?tJvAO;8O9s1XJCac+AmoYxLn^`Y>S7kOJjVJ+UgW0xz{jc!7JNgCvr@VMqm(kqU zHw)K>n5EO+e%SP;9X0|RWt-UW)rq>%Gbd@QYo;pmPC0-~5y&&+%eaRmyd5n8O@N08k00L9v$x-q?#Y z;IojVD9E1~-!cggEtGBl%t2pt-zq-?G}7p^AUGspDFf7E84RT<67_VqKaJQg7aPPd zl<6iC5K4w?7TI68bi0*RHm<;iO<|CxPnV?ZYk6+;W9%Ku&{0aqKwqXhqbtgUqTRWR zIh!NXbl)9X^HPdV_jNslMpb^MAcgz;KDIOGwX;aZ=ihMOT9!sK(`5C((ou2pGD-Gb zb0IFaTN-3KcJ3)2XfTC$XeQRMJ^ZJ;vqlq7om06Fdtj<*T)}S)ZzkjBvhdQ#1RRgrR8NV6)2pKTz%4o6Z zdj~SiI`pYelk|qKU6R(xsSZ@J^8J~@gdK%0$CeJhkc(IT5(>{_BbxDRJ3b%2xMEg(66Acz~Ua1=zVyj`1o4Sq)L+Gycd`oq5g;m+|_q z%wuhIv6;gyM@GsT(MfOJ9{QlFDuh@vM!kv7!o1PL{GjnhaRVY$@pa4l?^wLtXzGmh z@*F>8d4PZOX>6B^_r6l&K1cP{Cr`vilDXUX48rAKM3Y8CB}vtUw6+9ZsS-n}l3!By z^Rp0aW_W)f6Wzo7h|J*K$P1uhy7CduwB)vt33&-P2&>rzjmjP zjrIUfnX)O)54yMN#NGIYqHm>AAlFHJ%LND5oj4qz6Q-NT+!q$eKEF}jg{UE$Hfz3b z2}h0wU+J3|BQv^VS1V@t-)k&>BG>5K%L3hPI=7&Uh#cDM`OC#6n_|a&Os^!!1yq_q zi*tQ|e)(*=VfSB?P2qXY*qeRdZT$3rx%&W`v&3tXEUyS6b>5e@d)N=Xpv>CMCAE(-DTz2Fh^O~>nSWm;b@*3$1ONo}HA zNI{Q;e49ZGQfCrr+{X(`@A*^GgHK!UFb$TcicVFXj??>DZ3OIk=@xtA{qbBgwMTPgdb2Q4ZQs3^0{gvcspNlb; zjJh0$G$`laD*mDWcw&UMa9A$H<3H(zq?q68l6u(4I}G2L_-)(sXApSWGE>V+5`DU(==Mj?0QM|4qc5F*vtk_~?!B=>P|?5wJYxN$Z{gg; zGOqt6^6KG}$F8cl2d!$!br9p!YGg|n)CJC#+vi&CiDY6K$}i_RIlD;BKk1N*tlyf4 z;C}GX4G+%gG;_I$-R?1RGMq__Ix}xLHg8}guRICcTEOz5cq_Fcnvd!P%SZl z1u&GQjMOS?@ou&XXMvYLj~t~V#{Y4PIv|8?;#PR6I<)q4(xD%}=}bF&(rEIBmTyCO z+wRFMeW&xFIt^0Ksx}N?d>7s0bG~v(lsJ*V|GuV@&ol)j4{wC-#7~6JSiaI=S#^pQx!08>tGF;$$;=>UG8}ee^YI>XNQ5r)2 zQLyI?w6nub7!D;=vcupTS_+qTrI$}_cLcQdYF)PkQk-WO6$S{>oBaw*G{DiY&0+y9 zR@UEidi3PX3*F*oxBkq^)FYWF@tj6Ie26Z$Tl#2x_2KC1LpoNIQ$ISnj26f!T&iGS zO2S4(Czu{2p4`()vibY9W~1;i&xKnsOO**K$NL&}aWUpljAm`uNl8-5-sZotOPji( zIMduxk?Zq7#nBbzGZpM+Q__BQ6Mgo(ccHlgu`&wKN6bv3m8UfRCbTVlaOE^yO~OQcfbitGye zX223T4ElZYCNmU1m*YDgx6f``173#r&CjeWmVAJ!F4s~!v*I)Ag+I4 zD^-$fPk~&BxXSGxo;|PF?(^jGPm&PfL*R*}o;*%qwtZeZhI1ig%TO8l-AkJ=r=Y5- zI7--@XDOh(TuRR}GY$0l;EHbb%ZEgQH|e-n$6aM3nh8PlM=GGO9mRVMZu4T!bSwWA z{&KaE*YXAp=~E3Ym1!5^4tQmsi(_EgXNIY+;5UA!n;Kc3j8)S^;6Q0qb|C?8>X0g4 zV09mLy$vx@ud2-qQeB9w!=Uuq_Z~0UEb|$up0Ru{R&uM^c>EuV_8-rnCy`HA+U1jE zu%OQNV)F`%YZq=_;Kybdn6&;VR`H%;qD)p?`D^GYF zC}>c!0L$D;R zqu;qJXfjA3DT*h!{kJ|VHK295P8&-(xtsoVEXo}X9)`ur6lnb0G5> zH~-+zLIxXkJH@t{gL=DX^a!(Dy%$Sc^f!L@$(%W<`8T6)Z9a9XIbEckn@X|Lg-?v$ z6qwL&E%>~Ykvb(4X%zPjin-~hZ}oShCY=x9k_j@fx@4sMrnvISQ1*zMQdx`BVAM<# zjF7^$XYhr=m+<9LnCzZ@qCvkoAJ-1NL${{-%N@7GYKOXp;(7G$hB;|1#POkb&=ooI zr;UKfMKD!8YKWCbi=Qa6i!=4n8AbY%ulS7J^WRL5d5yJM^#))jDD>8OI*DVd%l(vw zKC5z~mRR$oQO(zc*&u7gG&tg&irtVYk3FwCk{@nCn8WX`FZWKnkLG@O%cdjlMjg#N z1cFlNz9fN+6ufVDtK0UVIf<=EnOaR|sS=)4BZ7!cx?1VD^SiM7!jE998It*K<)n+|FO3g7UXnt*#9+BXAvikWnlYX8s-&!6FI6MeTi(?#AN7ao$Se>i& zv>yi9di@(R?YG(zvU8Pgsrl-y#a|1`u4$H_(4VYcE^W|!HLm7z z2WVjeZ}aIHLo*@^W_^MOl9Ztz6fsug#vQ%vLw8<)T9lbuIC9gMW`MM`JANz2T$h$? z27mvsG^OR;F9x4>d5sC?y?R^ZL5V2Qq@KW*PN~Q?A2oV+a_F75{^@i}Y);_$=+W`hK*TZLCxoCb*8mFAAj|LV_52=pVE*p{ z;6aLXCR}C$`Mr9L3>#s}A}6Q}u<}$V`t_-yaGzE`ufV3YLs5hRoA2?X?yOe!Nsm3P z&7{q5CaE19DHk=W@z))rY8=l^FPPotv@XsiKXa6c!*4C##8`ml(KGz86z-O)#*XCqNd|^$eeLrpmG4e9NTC{RIw8GGl=HXN5NM+V_gcD*VmDB-W16D z1#9vN@{E!JGOwWiEk8ncEoBdQ)4$wm@P>1}r%HX2k>4;0Q_W&~r;k2OQatAU&)KS> zkrQ}$*B0vQNk#Ja#?r8x|HIEiBD=o-La<%ga}ud6k=kJnQ{Wy3{{={ZzLf6q^~W#h zCuRiGnfp0P^D}UMpqeJV1%~X(W**$9;wZAFx$bG)x}M$g?@ev;#TyU%zf&)1uH|)+ z?#HO{M-~>2m;SMuQDy$EYuvS5fy+pyF6{{&)C{ASE-*m&-SK$#nC1E~_7_4kVS-R) zEXMcogfjSR`PBfOIf?hQW2~w9`RNC)f%h_?$CB`+^~F*vf7Vu_*jw=GDF~pdBIH&D zK|LG}JGdgKd7{pV=gcG}D!%wmEm@z+@+fjiL_fb~9+U5)(V7>#zJ+(7_LZCa+JErS zo|sXa2k?P5}dlYQt7M z#hd5JN$uOg+lC3uh1X^)OzuMEP4Q(gTaI1MUn}GZHFkRq4saAp3c_!WFKFcNP#Gq= z;%-#Cd0a4Pnz%p9o%y?z+49LN>n1q~eJwk8VO8oEci)QoZ^KlUDhu(FH3d_-9;B!x zIuO*jY_YhJ3za3=kvt4zfAb^qQ!R~~Pk9qj)nA+zk)Kfv2XXF8X6%`7MM~kTRAr~I zG3t%%$V}6bB*owQdSlT~F@IW{Kc~gE)EVUvE>AfHnr%WC>B(dA0dY?#O?aRyZYx$* zKX7{-<+C!WbGVARkhIiWr@tn290%=OYYvG85gQMsp{MN>fGfbAUc zK{IK-0p0sbol!SxkG8fn|7DfCS{5}Ta0m=+tJ{M<7Hmr`2#v46xAWeJLFY$Kl0kGx z)savFt?=W`7Avu>J^oG3jl@1;0(RTFUkZKYfz#;`@wCD;BIIcUlSZaannpgj7=hJ8 z&xm){8J|~LxoH&Zl_H;rs$aw3Z3a|-^U6X86QG5|4lbUDaw$oyT2C}Ng(lN8SA9u3Y>8T?bSp1H5RIQ604>!Yux5*cM z#cS+#1#WVrgnk_OAswY9pNggPrOm1Oev@Mh4DEmRy`1=^R$;%b_XfJI{_wad88I2l za^rd*W{e@!p>lp$l$413&v0vFs7Kt|%W&hX?aQ`%2-U-Bo9%i<{Jf=~NXH0>fpu!P zALjbC%{B97tAd$_#^oK5G3HGD(O2&XUkG&`bGbZO*Mgm%l0xANe&R0Je=kDBWPmJH zK!%=*qyIJ6;N(Ti*2B9SF6e-QID;S5+$SJ7Df&W?Ae{0{_068;Y!zMQex-GP>0z@cM|&%hp-mN6xe*19}Nz7R@sdw{6EUxGOCWK z+ZH4S!3pjXg1b8;xVsbFJp_jUNpKGkoP!+P-7RPi$DltfJo6#?# z$>5G-kW|4z3GxCW6YO652u^+n@=0vE!NfX5!VTXo#VY=U4;9uQ+^!FZ)tbTVQd#B0 zaBWLYPyT9<;dr2HDJgdP;cu_-1?#>^s*)JNNmg0U+l$$};Ctw=xn_DYdp=$bKr|-` zlL6(wK*sn$8o$K3vU&gZqe-CQ`LjIPZ zfsXdTzLkH{T6*Zz9%SN!N8%`xML6RH(#i#UEq>w-6(*EFL&rv}Mx5~u8rZHraR@@X zsaF<9!3GHJBeB?UlAtI3F0-0_=9?8QwN6qV>yF1+12Azd>hxH1@IQG4`fMrn1*K*PX6ce zw$2CnH}7js#w9Q}!PnCMUDl@)IeB?`ucI!cCxjek&jI=VI_NIk`)!dwXqIPUV$>R^ zTPb!%?ksXa^-Sh+J0c)!4D67)*F(hq_naySq<=s7&|x;*u~2`vKkBhM>Y*lFRwdNE zz(}HyF`uDLYRijP0Ltqf&^VQcOResjEK$Q=)W%VZtaT5|m32>QIwfggIm+!Qj%_xSIya+G4)QE5N&5kGX;PzUSMX#RXL2OsNbM7z?VOR$%?H8 zSq!&bQDmWyspYh^MlNsuk`iS8L-P=EkU>ypY!9P;Z~fuAqY>dlKTE<-#$j2n`zz^r zR|IbN_3KwK*ZfNyS>mFSlGkjNcU5bk*TJls(A_nV8d`->QK7EM=rCW%d{R&1O@$`p>FWP#?m@_TcV4$nYH=X#NXU2>DnFCQ0h4y}n zBsJ@A$*)d$BSPe##lU?GZiShH;Qj_0#s?TAzNGE06DQA<7fZP$_VGb+5S5%Cl2Dm7 zJ6%l2B^Ef8B^n#3vVxggJ*K2cGcn$~7Y*!oG zPwvdAXuE463>-+3uQ3W!ZlF2mDP>PsirweOD;cr1+;vPCG~%mIgxNThPpV|8&|^tY zax;5yUFSDL$OAl?NHfM(vTnuN+(p-1@MJ>JJsX&&Ov6RZ?6X3Hv6h_ecT4G3M&xuT zhAt1;;8oM>DSk5Q{7u#s)ZbGNSL;Y(w~t&gUK7Wd)ujFWo1A*KWE}Rlf#p&M)P8c= z(tadY`pHOuFsjD170qmR^w}We@O}_|Yvz)rIdF?Pz4kvhTz*tBLbNJnn94zhNoR&i zIa_fP6LA-OXL@jbLKSe*@V)FQX5q>wVHt>6rp=oWkhLxSQ46zXD(&gsD2=u1H*~IB zsF>Vqg69;2AX3ymGjfz>@Rt(MdMPX^DOqX&T0lT{OHVI+`>69`-o6>2@#g(6eA;md z2%Il?Zqb*o!a~=mu7yty$l5-x82l6TB+3-#8!+@C?C~J}KGCmLJEds!kn!EnIIO(7 z{+y?gzxCi@<@Ol;6T2g?ar?aph(rPb(;fLhRIVz%FFsVmQO=KrG-crWK`>e*W;wNy z{Nb@kVvb4J=aNh+t!z6WowDrnP$K{UOr^5nj(+3-Hjq_bUU?n((d#JEz6Vt0eH_j8tVblIkolYQx=?H^ZCZ*B>E+nO^^_xtg@P&nY<6I%1+d+ zJ?z_4<>q^S43WLJZV}=+QL3+?3O`S)u)rci`~IwfjS4%)%vJvKN6wS4FQ zvyB8{RP5msx!;-EW7h!C%_V)@Ww^$KdjMm)`uVGQua8_u8vxIZM)lmJ+Q5R0pK3z0 z3&EBj4;cQI2$7x`k)F(5zz1#sfB~ki^Xg!S;F2 zF%XS&D^N<8{=b_Nm?+py5CBUlIZ*Erc;t-(txk`OVTu|2)eGj285dC4`G3Aa`F30f zf8AXyU@A?RyeuzW#;|2PEBkX-q_Ev;S9eG`{q zRLR#D_Y!t108z%3n%iB^??8dIH{_4XgFZ4}cWb{p@6pPCXUArr(C?@1tp(|c(>kSQ z-nW(!8%rR3{*_o?)P;2@diP4qkDCHPry&8ldWWEUa;ksSc(k*(a&qU{IiX2Gi5q2B zOCPRs1- z;xN*f6q|P;TH>wRP1oVF4``3PHc#Q{qWW!+Yzn&$>rH#vCvD2XZOU0EX8hXa98;C# zVKMtOdj|bAwmpDyyGn7g)YkYArYG`x*f1h<7zxq`R%*}7*Eu%>j0;KdlceI!GbNRR< zR?7Mny_#qpFF6X4M<^3!!YWSJ3oo(HW}H5XHFu)GTxG#i+x~XLC^=SL?$`^x1)v3z zq7r#2sXlG%({>{^(A)^RqzlG$*sodj2QSANVV70q?N+?n#+$w?f+y{c%^hc8fkKw1 zZ}%E@(K`#5kBG88KgDDo5w)~*Tm&6v(|tRvK0Vtwtl`=%EwKIm{rlO^u`ETEdkF2s zf+*(M$k=baOP#E-nZ1tIzY`=6OYX@X7fa_Gmow)+yN6|k{pi@fC3!6s;VdA_;PDKi zETab7QktpdU`;L^xKo2Oo*34}ALeLT`(vhS{Li2Su19$*YX4R)l<@t_^y#twynHMG ze#lxV?AkluVYH-wiiH$b`X%q}?cLb!`mApsI%X9&`jLMdt83#T78b`ZT{=oxqD zv^VJ4XuETA-(sY42RZ-U^v;aHOv57PF<R@G z27^qA-BK)((BC>Bg5a0a_IQ>x7P@fIzkQl7h)dN=`@i1A|2+A>*2T+e7eG(?zg<@R z|1_BYKlhgx>?IsSjG8YPMXsQwrKzRhPAHyT(xnMxF=sy$M`FcFX#mq~##L0E^mq(F zX65b5tlJBJ`PR>3A2+4#Vgj+`+*st4Z1>QX~6DYdAnh+X^04- z7&#OE1$1UAJ9zoa>|s#|6@3!5T0Q9*t!GKk-rHzx=y(wRC-gNun|`vcj|genL8CT` z?q07)g1Xg8Ky%sUj@h&(cg-Xm`(oA`>$;g0)H2<@#2xSefR-p?vJViq0bZT0Evxse zIwe4Y)3FG~gY}Q1PI#f?tr%9{sir)3l1OpKG|$!5z>@RH&|%_11BJ&Q`q8W!HgY-L z2q&nNzqGyZGwugOgL8T!%p9Wr94-sDL3dwuV2Fflt9gn>l5-^koQzEbp7!~BgO39S zQC2bX9_E9oRl4A)lQEM+G?2@6zIT!GKkwMvHjA21xoH7lFcII|=;V)mzXrFUhpm7YPaf5XJDYlE_q`= z`|o0dfl9#_Jn_6JD36Dt=F?uC>=&8Ts%cj?(Ghg_Mji z0^8~-n`QflcmM*<F7xx$7FJGCwn>d+S zz74lwUiNzu-l1?R;h+~^gV4K~FCX?dZ*m&?!kUIfCy*_-zikOf9=|3EMv(XNh*w8{ zZR}~y50;$dVGa-7KHBro`l$LEjUlyi)hl0Q*J|M1)1LNJ(|Yv69ph@JpFgw^o}aErt;UV=geZ@6O{|I&SbQF@vZ)yNtiLw)td+s|IY z*QfbdJBk2A682qf7>SN$a@aT5^l!h74}S7w_i`(SoW7{(!vT9b8n`QXEiM7PCLVY9 ztyq;o&nsx9#vsC}zuXYsP!2q5aJLK#>Z|vo%5Xxxug#jT|Fxt~kzMLYCHiIc{H1=0 z#4GVLiwGoKgLv^F>19)m-jsjd2!3L!q)P;mvc7>g+izHgMm*N46nsnm?|Ub^L*QOd zdHw?5EoNw(2(?8dFSFYMbW#^VTm)Fie%%mQa{5@Pp+K?y;tFt~{FO@YZG@gFReL(W z6+d(F$wlh(5TqwUMnU@O^1gB4O^~c22YzL1sK>rZK`JH!%?Po2FdT7DMzcgeeg`Y~ z(KdOh?kCeSYmg?_c^oNFr+Z|MPyFy3xHVLCAF2iw`@)LT=fN0pjeslRQqqG1 zU0|R`ut{UK1^a{#n2p3hRWur#FLaa*PtWq{V^CpdJunh34Kgz!L5Wvscf#y3@9e$t z*QQKJ!`GT{m1dlmjHRjc1@^59GO9?ZL-CImhns&--xBiDXSu2@r9YvWE5=X>E2nKn zppukl2r*krs)ZR~AaVbQF&j=4Q%--UhI@nO)wEIeOu&4CoIc{~fTKiZ^1D;0?+#k9 z3BBZGayHhJGy0Ht%}^T2tbD%I&+lwvN>xd>zalcu!O6;^Nj(t;p2u6Ws8eT6h9MBE5Ht)!HVYl`c&GGme!9oV&eL)X6=|!b1JfgH+ND% z4HpSf;uS*NETd*UkrHa|q$PCH((Jddpa>$BPmOF_rcK)`EmZU0mL|Wqvu9FUHs`Bn zY5-N;(rnmcP^RE7C`Rus)L- zd^@GD%0p3t-wS-`KV3G%^6o{zI2RNLtxxr?DP_|Wx|0uww0-Z#jjRx#`edVz1!2Yc zkYk%jFVDe3m#}MKEhX7-bOO19JJuUp?88gW5mL^)(Z)KElD%cl1YHXaneYvw$9yrn z{-nPpMX2=_d;hmJ%$`Ma+W7683n7FEGwLCCBIP}`l&G2{2o}PZpC6Nc8!1!XkRS;5 z$p>6MsQnS{7{a-Y`)QU&%tniE-`)V7{lL%KWhaD){w(L`rxKD%nu_TsCga-)+s&BY z4>t1OhB@L!vlbTbpg`li_Zm{F7RKIM&&NgFpdz44Rj;{Z#x8igE+FT1PsD;y6*P?F z{tH>zdw|U!y+}E~1|!Ez_C|7B`dw`;0fVa(ldw_Y8=`%N>Q)Pl_SiubDgR;AD|u$y z86iZ4sH1RFbQe*4>G}h|&;=avrM>It&!3L1UW%XuA+QrS4y=2V2D+%)1>!)ICpDkO z<^R+773k6>Lh$M9`Y~KOSgrJ<$kTJa{xxjsH}6V_*cEwsZYdsVQsCfV6H%5YkJF4v zT6!f7>HVjrS3bh@|9D`=Li}MvDiN|x71f`!;P$tPxQpaI zJl{Ql8oSa-q>(i;XU=o2dOyO*dZFM{2Fg@q*A{Pb)#`2#)pS4?zti$E;oovFT+4!3 zm&zyA#DON#e$@W4`(|y5xkNNl)xojQkdC~vd%Hc^Kr$pp*;IPO9LqO z+e!T*`;G*Yjn?PZIM74nK1N+#ce}?wOnv>%v!o#LK{?q-i1;or<;eWT@PWYR2FsLx0>1wD=To7d7h)~^@oeQ0ujT<0Tl;wDT6@>|Tc5td z62W7Wb)(rlw|4vnE;>Q#^@VnYtJe%&E*4MxO!!gOfFQi|oi>k%6qGp8I6e@Gvzi{pBqP^ zmhgVz(D$3y874L#R-et83N^9w-$!7;!CLjlwQ4c!q!$LDt<_(#)e*fzMy-Bo2`d$A zhq?k$cj}BkJj*s$^U7F!N^m>X!?h3E2`!mI9{Sf2>asxRIa^`Na%Hf*2V8i#rC`7g zHq3kN*zR9P01dOoREYKkSz`x}BdukAOHno}y2XD;0}Z{b|rBQkGJ z{JKv}jz*?8l_bSW^xsh)X?E9mwPomXAGZ!#K@1|*S8pkZ!v%Hh%Iy3jQs!%>wquK@ zB%$FC72GchaAtOKl8~u_9A$RJJyLTRncGFC|hf`}1+|F}b0&FP_-p&CqAaTu-`mK z?k&%OlRA{mlqzq(oBT@FKynsrb5bbta=(B|ZYb);0k?0~a)y^UzEUn{ax=$vQ0O%w z`ZLvU^^HNZ`XSMagQ9PV7klxktmp&y)~Uz}Z$hj9rgQ70tnMbp6H8JF6S(Zo8% zNpbkO9*Kay-i$O2HWxUxlOoXcNIOffP`Ap-qFleUTCByOiigGphx{A&UH*WxHPK)m&?A+6RyhXyez96IjWZz8+c}}aCeWJ z)-e_J64edS+(}{u+`iyBPEpg;F7|j?2bOT3K1)Hix0P=KX0f1^9}GOiD`#<%5}Vk5 zl#T7w*ryNsLfS=eIUn75EO3%q z=g#1H$k>SIp$9I%dx(mR|IUcpqAXRo*P<*EPN*dG#xc8bVJt`BNFSQ}VJ>E8qA3Vo z&z%}gN49hB%}*M>K#EKAEZ0R7)W=%%fwD>ZkX0wt zoF(b+!5~xbRt*sn2lL*jNBhWm1SC!X(~RSd!dnM{z#Oc`TYSZW_IYPMr%<|6ImH69 z@jYI}2KZnVXfqHb4}2#b_R@5En~V10h2qU3dc!V!J43wUjvY6D&j}V0FJm+{!347f5TcdsAGu(*ndlQv^Pw9FV1eB95fg(%b0N=##U|~ zxEr`NInb@us7O{GX6U^Ng3CGdQ=tvEp+n4^77BFs9gL0T$}S5=KauDbj!t%XOi7{YsSeOo)Br!W5GHW(SNax|7o4Z^VkU?dDrDO7=`goE)pC40^$&jj;xn0+VKfx&t;WCJwM6<9 z4tOn$!J80G#93dkxbk&k$uB5Ke&Y{ORYau-g z`RCNy0XIs+rz5ST!mgCk>PbPrCOp?8bc2Y!uzu4*tYuG&UuodU=ANU&8CF^ft9$R( z@~6cbj(FDc9v5Pts}Wp~pt%Al<34has0bT{D{qSzo|>?u&7OTpe>Vk{T&oW)=v0&#~9QK7ctmX%$);P8-WaEx&boJMd?ct(NFw< zjB*{wpPK<3DvlO6|j@r1ebYbjLeRhWR+EDKQ$@u?Io>i8u{o_fc zGWGxDXvG~;>rxOsZq9ZTA%clOaWqEcauEmQy#Sx37f`o+Bq5;#&=&kGSB=RZ7!;xz z$Lj;9KdECKVBT6J_@jE<2d>C%0sHWiD3L)%UgQ1(Ri zCwJrF6TEQkTss!}6!vtV0dBVd@Y?6K>M|=v>IZ)Ps+Fvw7>*Uj1C@~pX*M65maRk7 zLUmJUk1l=%Eum;P>&^4@*r|UDo{u2R3$@FO48DF=uH-bEI9*x zV#QpPM(~2Gz{sa^kyzbWs^mGezPFyzr|;|1tUqM4{{sy%F@^*!M>(<*y7~B=8iJCe zwAygWgbl8>XWR|rgq+qNSO208&4MpV;=84?eD^jqCHOsI&jP!mT$X-U#d%=`l)ZXU zwX+X*^NI37ii7KOvqV9MepvjJcRVsIE1aIuWezDR2gH??xMu8bqnZ^v%-HsnP%uhq z2LpBmL;C689vM9;UK`Z~w%qkWsyyhiBN57lZx)^Hy{UP6>t53Kh4g$E9lCf~%`;&} zJS+6KDe#fTbcn69&2a%RlKldu!ZF9jr3S6RU(wemLu}W8!PEJbaAj7X`pOJ^yw{ax;% z%WIf1J3R8|2cysL#1ItN(s7Ky1Xy?c)YrZdv&=uFj&Sf*TN8{Aj;5$td=R091d|De zs@qXWgcN^PtwU5QHPUe=Fdrv~Uv0w5HAUEZqp{<_q7}Ist6i11LsO!^WeW419d#w1 zOFF0`6o&Yeql4GeFh`&!Vspf~n)irD8j=X9WtFl1`DY-cQIAMBOzY61aF`lyP4+H? zAu9<^y!&+pJB+z7%a6^@z~~LOVU*g6^HTdq$}J<0|9;q>r!plr;WI}H>!{o^+H0KW z*59|e9YQ`qOMXTCP+@ks`J6&*T4WDmC`>5Fm4J7W+ViiKSZHHXl|!$4TrjNGFXRey z_M-nM*}T(DP@K(Lm$H&(jUD4VSo^p4C<>>_#=DL_n%V9?XvNPJ#w6WuK|1{Qc9f9% z)b?yi<$ZaN+5C&x)A!>i?CC9k$v6{z%>1Gyb=ENbK38sPjcbyEz;r&Q-(nx4AsT9K z^x6*Ha%60h@E$pVH9`H-wn>q?$~o_u0sj^aVWqj;I+~q0YBgL0ZHzyT`BasZ#LcAK z>Ed`U9ZmcM+A7(D|5e_%SwQ%sYJ}i*MJ72B;G{cT+To?0c2+Lz6GfX2nyghlE z0d||;_fx)hZkVm}U-zG`gPA`4j!y!)($TMRQ5=s2_;_nhqPRv)j@SBzfl_9 zvsY`4;>h2ytepsn!xtu-6)d%7*$2^f+NM2XeNi=w%N3&$`V+k4O*@i zG!*6SpHEB%Xb(R=F4Mkiy5bAE`yWN6xIiJtqMDua}ausxsCODlDOx|q4 z54C(vt1(kHGokVL;xS-f*3urmSkYXW&)GkU*K5-_M%e5!UU2jztl`gpFy#KN^mdYX zKC#)MFn+b|Wo>mpazCUZuOmV;J}%Kf8Z3<$#&sFj?kd&49@JV7tY`uQBOZDpODlQ^ zO6_&DZOHoLf|J#ZTLJp|1?t^LD>I(M-z+YL`YkgvAc9Rqw|*7QYTLL}#Fo!~8_>>a zI){6c>RdW1IW@mcE}xM=2p47Ap&x4b!}dwj-!zmrj;g|Zj`fr~qhGuv-S7R;KN9A0 z2V;T=t|djG+aO1IT_0*5@Pda`?ix8X8ir=d(KK@Y;P5CNW07Rc?@LR3WUd9W?_>=D z;JX2LR^!T{HQ>@^)~!PLTvNk|&#e1ncdB&Z0_fBXX9y$!%50%kfda+U?)n*{g^N>` z#>MVX3jd!GcucxgCQqy(?)a$q%zyr!j;-uB1<4{U|0M3HY)6XbZ?!NUT-zFZteKQZ z1XS@}F)1(PVOXLs`;OxVcm^>^X5mNn=^i|gI@g`w*BdOOf6}?s2NjYZB}u{DK{Ftt z5AUQ^LLhFt^ssA3A4t3IxG*Lo|MkS*-aqk=v5|bRtPa>)B1!&>_+&rB6}`6fVSx%z zuJm5guvF9jgC(MU%#uyG#K4|v_Bm{~kbSry z4zf?OZ(3S6JuD4XYf z`tPSFRde!-sd6J;fpzsOD(jzM0wWW!UuOi|U%&U+$$unWOZUt4KHcH~#FqUrjt3$i z`tWqv!7ok#5Z>Tt{1p9*R z?VJlPEMW_1rn8yK)xX)czS0f0mdMROCtw)fqMqQpDTcW|J#~`wZN#h1ZYWR z{|OgsoZ0B(@~Tr9sJuRZ8}|2X#&;|0x02{7ZRw%yNeMG34(E|sQjfKe_&RIhirA1@ z)5eV=+rEW4wzaFk63*g^2j;Ijg{0&zn46B*-S(C_+)3@)uJ!#ya+XHEwQz z?BToxS&YbqZpY0o)9&70ab@LpX=TSe6tHfXtw#wWIcYE;)U&MALVO?cZevCXRoIUd zLl02!6+@Q!WZJQI`fYay-fo*Zirv0uB3zxP+qqw8#q1_YNv%@s3L4}unl$6uGu$xn z1U!Y#3P!Y&f*cG^H$s>WjV##qCSm3?c>`$ffBPwv#wM^!`%*Uii%j}$2xp6{QK)!F z%RJ4en}r-6@{eCgTa$i2Yl^G583`q=)%ikdIa-=?S%Q+LOe7e(VVp}Z{fxjHBR0( z0l*jBSPF|NTDOb>jX1bES6@jtUC=JPpD^t-TcAf_4zxvfe;+_8w9d=j;Qz#is&|X2 z<}iFf825AYRAY_n7OW|%ne2jOcNT)CK~BEyO`jt4-P&>yMSpwBAYplswOPmHw}9aH z=uu&kQqj`M3K~hB8p5ThVSeOvs!GQN&#A^*mA|-UK02Xy13nl%P|tYFg>bPn>u;+! zGTnm75Es<(V=pR6K;2(6%W~L)k(+NXf%=mhk7Infn(CK1vq_ot)97Ubp(Ft|>6~>x zAp8@ARZgZ0mg8QPpJ~rzlm~@kL9uaY&6A62i}aJ1(j7Jn1sWL}7K;&sv#s$aB8ea; zgRe0#IzYSrk~9gK5Ut&Q8o9Lk+pAO^^Ko|vHlhttB*n12HJ=IKBn)yjq53Z8XNOriw2cc2%!l41P{UttO5I{q& zUfUO;j1~@GKG7?9h4z7B;IPA4Z!0}g&DykVoBbopGcd51p(NvO_1w2vbl7)9?Hws- z1A1_G@04gM2yt?O?Nu&b*^%E{%b`Zyv((3@)#y#R^;|Bq0(ePoh`>v-|7TnUd=f<9 zT62!czyz-Ay)i7mWL51#_EWr{>lM7_RJ?u;wLg;b&*eD7k-G4EiMT>VY8dv;SUhB1 z(XHjvaDNP2z8~bb4s7ZxOz`WmPZDptylWj=WA*n{B07_4->@Q=67eCu@v|o!EZrZr zjnF>sOF|yVP{>+eq4+7X|D*9S7PCs)6-MkwL9!UGmFqDs8i*DWDdK~Ix zwMCD9JX>@bAS3mG=R}e40Vbd;5Yz&F0L-R;CqoQOOzU9Z{R48Ws~N7Na_&tAWps;C zk}KFTx8X&iQ4x5NRDoNvEGQ_f8Xm28P&GD}G#G=2V#qMA)IvL$LpR(o%|ML(kVnM5 zfBlno=z#4$e?+y=UU^AhcnJ#}j~Wq@uTYs71|FRrIEShpLkecjw}pTej)dIbPKb-+ zkz3fqkz<2S%z?(QW-GoUarvtpMD=dTs>2GJs3w~Gy7v>R>ygvBwl41r-oLJ<=BNj4&kuc9Jw0!M?4tnHXirR`L4$!O8wct}7@ z$)*k?krE{}B`RE|;#?b`e59d?pF@h1F?Ds>uraYT(qT;a!v;sn1mQ^GMM{LYTuITS z1TSUAxzR)O*N24{7_sbM6Jwfk@K?btt*~IV`F&Rhl^r(`3(lPoAe7m;bWxb;6A>$V z6Q);d#o=>iL+*dIN}gJV`+6zm9AlVd@yB98M$j!$G;0)RA_R-Un(t0PDZk5vGB9Sc zt6~Onu3ZS{*t4{=ft?beA(C!1E?7+%aO@;po;1{@C+Y2e!P@CI`(P^fkz%nbA$IWF zm++`*iZcYi(k@M4%iw4Y(QYR$se&Di#L;ue7q~n97R<8lFPDDhHJVR2U)TOASSFgO zO;<`^w6>o^C$f!SePy=r=tWcbUr`~Exv7R8Ad!1fKK_OPl2L>}zZ?Gd5t8+v2s*8N!7(!^Kj(cFCZ#u_8aZNP@l6P)aZs_L+`aB2|MXjWBMHhD;z%l_ z(j2VP)v>rZrMUVl=+tww^NkcFQ`io2pEiyLNi|6*bVi`sw(NBIu&^ z>7Lz{&`;w0FwxKFlrY8=&;0O~ogfZt7-p zKkwCwrV`Mz5OA1PGUTh#2pj#5KlqEpsp$(UYt!d3v4;%cN9WL^tOPuWJVLisM6cf< z08JSVfR=ZTpvHSG!Xv|YRkrKI7#PX_=0Q8{D~0M`zn5XpvQ6^%*9HGj3QxC1XDYmm zTeNfLdNBI;jEy;U?B+!li_f#mzkc-VClMbEp8nJIYu?vCdc!(tVkh2t zx;(!JG9VfzWWh|QvPsmb)wT(*u#h{*zoJ%{Z_q>Qi~8mF zRLkYmesW>h*$WvR4*_Ckak!{J-*6aYk6I|GKezakrgp{3)KF`oLA*7=x?jb@Li?mR zEf~HBEyY|YuYW6V>_zS(MTlHA#)+8$ zGT64uab&0Wa}|M}o+wg7*X{Sx#1h60j$Clz$2lsrJ>#WeZjY1Ke$lbHmo}ibkm>Ed zpTQGsS`p}y+Td8SB;~G^aei#C*?6_kaPZyW=d)Y#QIpc}XAeR+?a&W%_r9FA0|$du z`VBiifS(a$T`#~+VhWPJvj-kVz6U%;e&<>aydd3z=INium=ENCm0j}0^RnL7 zWghNj=5scMDNZ7g`jBld-|A%nuwYnC%MQL~Ij8#<6d39!o%*zGJ`i^Xt#PnIPBEh6 zC_8^Y0M4vAeWM=FM1pZ#Kw55JnL}fQ`J+NF;X3#J*JF3`O%i7DMW?hdIea&kTCx&5 zBB{3QzTojMst)L#zyDEGdr^z=w9SGtziK_bYsrHY`*fYuOvw?C>z-#;J%B)HKL3<) zH)#KzhsWuB8w=WKA6{W^g?FOOUzmZ~lIvGrVbe5AU#l5A$^|RIHL|Jx;dD-my;XF4I4l*CTxTge7M)}TumcSe zJxxE}oY{Ft!2pG}FKqVYkCIk4MgLUAqWgdDItqH~xjwVLr%^*bGFN)>ka77UBx?G6 zVLh$CQ}i|>e~M?pO@yjNLH`ZYlgA{z)o@A|Xz%F#cYT@)atC8yK>(fPb!$g_O zZmxUyNIsK^6sqsss!aGXeF9rSVcUFg7oK!-sl$$s*F;*|UOvRSry zEP8{@zxgv(nAh5E34pNn?tW$Y_b+)=XOE?#vOpA&-gQ*a9mggEPLJy1|DAwhFa zS})gG1P?P#5`)&m$8J}Q1M(Q@$0kMIy_uG5zP!%cv~L^3iqM+CW&y<}g(eltKN8)0 zg6^J$Hf?E)4`o4?E+esGCqvpF%QEWBmj-s3XY&i~Fl zQbW}{t;!Sq>oc3}wVkoXL^4b1RD{^gc3_d#AuYCok&d|?PFm8{dvLRByZs5#V9)TO zIo2oZutASwX%cJbg&s)jK1><=Hla}I7wf;6P-jDUf`A|=`A#z>$!5)HH^(cgXkIXa zbIj^Bwu*mNRBvh3&O)X2W~A1u8F2_f89qEIe zjtx*%SMO#h%=kKDwGK)P^6t9gc|5sheR;LdKx((!iZId5xYUK&s=c&T90#hyv2#XZ z80u8G=%3;i?p!)GHRUx7DC@z9tI|T~M3Se*DWo`@{Hnyy-XTIzgE!9m&3@7)ZP4(K zagrvCR?p3ROdHlc8=PU=VYA7oyTZj>vm#R^2g|lc~|ZJ&W)r{rz{1GL(e@eA)rF3 z8lJJC8$!b}R*lvLV)!v(dTK7))Fqp4Cx;a|PeoHv57)JrR`I-q?+=@p!QzTpq7dN6 z#l}&~)O=VKXJle}tiq%Mc`%@|>QEwq`?_2JZEpWh>hm9%=wlOOe)uS46j<&Nsp2!? zvx-X(2$Yh}sv93&H)FyJz1>rXNi{jc#Nriu+WJ3G^ZL;WY~>(anb#LZ04(A0*WEiV z);_EKtSZHqaVhVT-*v191zD00Efc!WAs2q(p~nwtrZbrUj2iC?=6-#D6^_FS+=HL& zL+#pOl5P>1*fTEhnR3479EZq6SLuVNKgu?Ts#6OPZk}&f{b?Zonf9Zt!BH9#-BoeN zLCD(~r};82v+mrLfPPTj2Fhh=;7BUO@3Q?Z7b*J90^=CBA7r3~P8vdIs`q8j0iVzB zv)*=IZ}lEN#PfDv_{1?>2-T>5-ROG@jh z$j}K7{E6bKCXDw)J7l!-dqwjX6(>m#{aF>UJc#V2+oKOSV-)#oV=+X`xm3EXhUa%r ztqu0~za=z@>&=Al->{y{jwnv5`>km zz5nyi@v|7GOZ9p`4^b`*h+_DXRIxp_ga`ptM?Zla#Rugev`S-H%q1N~py`Mfk^e&c z-2efP3K!)b`C^io@otnLrbLZXmnHe+K^71T8Flzs(CdeB_ue|&Ao-;l`!{>B2r50k z+?hFnvK2^ER6xgX%T%O~n#X>#X9gG06x(_Z%U<143K5Lbob!B@N_tWb6T-^_S3(-r zOWILN$rVc;+!~p#TK?$3g@!paDam?cevczrR*F_SL8;Yciihm+b3%NHHhQJuNU@_%k`G%o|nE)~dbQ#+^l)3N-TN!xuD$x$_P>gUi#V>qCYC zwfNL(r5PM(D}7p03*Fnmt{+o6#v?p4?*k`y92T6oiS?R3P*KaoC~Db2e(jyFd9>O( zIrVSGGw@5zyd3bW>m>#ey6zb{H;?rD)12&VdSy=L;9`tw8PH3|OG6x8)6f^ohTWe% zxyqhK?_yb(I50)O>czsr^V!I{D{ri~=+;$V(6}zCh?ue0%Hda(u4!Pm5n$MbZ(GJ4%oMU&6iyMuMVFVppz1M2kwUfDmkj zi+d)Bq-~B2LPW{wDf5KUkfAqY&5w`=+5D0p+y7Mk7t@xE3|+%kEI_p?g>r^`=H zWazf+j`0J~U(9^CzwE@t#r*)1Hm>uwg&aWlS~KL0WbFUN)?YwX)$M(tFp44|CEZ9$ zcZVP?-5@R9-Kj{Yw6t_Lo9=F;yQRAu?&LY=JI_1r{Tyrt?y>iZx#n8)AHOi1;$hlL zNm`PJEtd`zC52{ZCJ)m#?#z)~GTCL_6bO(XUgX~hLTQTqr$&&qVKrWT@pJKKk5QL? zG$a}H8NiG+;tn@+`chO&i#J7s{HJ-z$U%<}U^e2bO?5?TDzHP*2NLJ?NFTZTiz@54 z`dS*6I?QNi|9%urY0@%2bO2cR@*RnW{rf}ueWmy#o2U_;IiI1QbZ`=*LfH-_lfX(R z0r=hi>I%VP@wm33uiqwthliI_j@9vgV2e$M`yXmQQ0XVzfB1N}F;!~V6;)L+8di0F zu{5fu?QaZz!(^YeQZ9^+1ofn)aM?SO) zL;ZkQWL9DfsY%r(`^Hd#t7E`MH+oASs2#Xu>X}l2sQfOdi_+XIt0@1w@{shr$6<~* z8{(=RZu^Gs+9wZCoFFMY7EuA}fz^E1=<<_LqiV0gPXVr!BWDIOY)`w=>%x2l6-9!g z1Gy#q{0!p8xNaM+NSEK^r9`2^YITR!9lJ8u^JUt!nDZ;va*nwvs)0&xg`p>Wsq^8K z$50N{jHe5&O-&n)RBoG~s)YCE4^tjZ=p5T_vm9G;0}GcNuZAR)*rIlAp2>ak-__8< zR^f3;V};k~Ku^^%FV0_=bSP2+x82+nUUdvT-`w5582Ng7aRe{leD?k@Gh z7OHZ!U)?sZ!EhwD0~~XSF0DlNh#2^JKX=Pp-#st&MG@LiI_wq6yY_O%*uCWjp`E+^ zVl&*y7yK9>87@BEB#mQbO_HqugUYY%uYha2fRK>TJZpIp4GJuy(I9q?OiF)e5E|Mc z3z+;)TdWCEczjz6b@mCouFN%yPIw?Vp?!8#j;4@a18p3=X)Wi){Tbn96jhBtVQ+xg zRuPPJ-FCon!8eXv<;3{$(YkV2o~UHCr@Qnf<5CEzpNmk)0m^yg!M_W_X7Ht0ih$2w zKOpRH{G4KMRfNH>Ey3iR?^^eLzT0)Xf^4)`Pwirp)_+j)4eeG9X-hP_#?Q7C=TUWC zRM=Gy>pyg`R8lz^Ta4CuMsg=+#17`)FkrNit2rQvx+57nbbt5Iai!+&>J+%j|2vP= zJsPx!>cA#F4)E!6(;f`XEAEur07gME;P^V{)t(IOD2|z+qle-ZACZ!`sQrXwP;p>i zSC5zal@Sj|0)%;Ay;A_3ta zEj#c@%mP1!ui}4kLB;X6U>@`aNdBpbUVVPAp7{YU(t_^U8Uv{5{pL5yqY=NRInk6u zSZ2y;+&5%a8|HMbt53uzu!tlhAwTgYdrbAlBXdN8gyR**9eC(gxhR8iY7T^%wXpP9 z&y(+3K<<@Fmm``VQM4J7xTUu9^bXWgeBJq-1`>UHl0B&V=j8Y%S8-|K)exxd`=2CT zkFf^1dFBoArGhLu?uqeapRVcBiZs6?`E|e`uC8f08UOrHiN~KVt_sY=J{Bc+`D`AI zvWCeY5^xo*ys7};zp!F+g=*mesw;1Sgez~~bw^HVA?(AtSGlH)PWq=?*=mh2)+^Gu z9uebCIjGtv)Y3FiI%IB(XDM~q@&i;0=pF5{Y= zK80**==9zOKwMeRvxB>imk^o7XmF;;{`~TFOjnw^p#2v`ciwx$6vRSPWcbRo&fm+| zL=W|Hh}J4nTU(n%*z1I1k#>|@%~w_d4@k6h8&jT_>$!6eOgp^$U#{_y6iq*PMKuGa z`q3D==~_~K#7)^P8`NbVuRm7{Q1-YoB)DukYK6n+a=|w0*t}Z*f}z$*Q&=LF={eHi zH5G{;m~RR``gYEJ z!q@C(x!{Y(^0i_>1y6MYl1RSs<}Tj#-UFnUJ-7qDE@EBETP#>FXJ-%P3;*3Pkp|3`K3*gmU+R(1BAaxs_GY= z2;Ari+*q z40)5*K{(ssF!E+jbanfvs37%Qj^CUm2QG|4@)^9S&`9l5=?4HOQZQU$*;Ll)J|2|B ziLzCBj#d|1rYlAb!p4^q#~Jz?plpC8>Jf zWed%AtRrs)5_kORb2w>IP?v&ksN*Ir<#xZcu(P+v;dY?hO14L0V`IZx^gdju!@qyp zUvzef-MDEzIhu7hux^jb=X{6%4Uew2SZ}dVWxhbUP}$q87^1FfSvaYFrLs^fFPHp2 zgVLScptSPp_Te3zZ!+3TGOjJMtF3yw$;J`);W{DvEzjjGuWorUM{cL{QL(cwES-HP zT0PyMZgms8rQS<|e5mioSi%{TS~^t^uC_${wV2S1Y+Ejm_p`>IN0M4h(ZY3Mp@m?3 z2rMoeKmSIK>p&x!f35#iMEEsb3u4pR(*W9%fngaSB~{j2$o2`$>G8 zYXuz?PB%yQ7ui!+NGHC|SYAGlShB)4ZfS=K0G!j6baK5+66tR!-`Tnu@j41@#{!q_ zEiMuH>;suZ_sIw6?p*(}6zLywKc* zPH3^Pqdm;-a&(RtBo`p7|1Q9Jv&{a?yySSDq1|lZnl71++KOSCHFqU6HqG`b(Iscs zP^OqON*0&s;M9X>fi*T>rRV^hiOK1mi}S-=(bBE(eySX6r}J=WJ=pt8CZaSBZ}InQ zWNYzD?4}v1Q^@uuveNk(4VR~+mrOQpfJ;X#r zL`27MOtsTeQW6#t+U568mxBdx)za=6vHT;jz~3M zct1eNDz$UHgeId+HpF^T`&MV=N6bNLYeVOHs#mB94cLTvle1!f^(*;Aq5SzmkL9Dw zErt@=M;nB)(T(?IAq0$c>Hb;BEq@-54~bf#!^m{rR1<0CzqQ$GqzNR?;C%Vw<6JHM zhHIM2bW|bE^v(>$vVxtXD3p4KBVOcPg)XAet3}S`1KM-0UW;W zpftq#OaG-~YH46+{iV16`q$kbVU!qfxIX6fRa<#Ir(Ya*`OZJ)&xza1T}DY7G5#%N z*fjFHYlu0Z;p1NkbG7kPxQh4J8xltAOA8TP#h}u`3gJMN-M?+gXTZ(qk9TY7J|akR zx@mGRp!!)a+lS?d5`4AqI*NyMw&Xv2wfNm6<|6#Bd%#N%<(dRic;tiYB^=w;h}UlC zuAY|Cz`3n&$cz8b%8ZMo0kJ@DgTeboGMwj-6GWV?AYpL1T66|YTg0GE6N1JYF_yL7;x#N>e&vr2LJwo~OhM+vlhk2ggEqdVNG<>(SI{S$X{ z1u=D$=m`%qbT`z@l2iLiF__@WVfYCK$;7(3zi8?YRT#Z+Rn3-57Y=$!ZYDDAm5u$0 zwtnJ48nYN_NQPGonc@er&ZGnzOe~XO!zV+5e7Q_{$CmwK<}Q1A=PNa+V5{4&&celV z8M~W=Lj|87>@P62IIbq3b_qW+6vRka)DJ&s;bx;km@h_*r*UjVc(B|dICe*tqmIkY zHH9NvBxi`bPsWlG5_v^M1_yH!m0H0eAq|5W79eb4p10GO*74>8nmOy{K!mahv$9u{ z+K^CX9ga#p7TfX7(J`L{qR^jv5Bu#<%gwU>^v@&X)XGw{ltz%fG$;hfBWh)}4ORv? zW$2_&hGeQ5P*o#({Twumrcuit2RaJ=pXbjqTC~3!gl_ynFNXI|yvkXcZobb1?#Ed; z6^iA#Argikdh9;;U*ZpRQO54f>dT%wt`soFWhhgOw20HT5l;P`mU}HhEgkK2cXmZb zFBHA@>F_wcgUQ^NPE_ki6!ZCGm^#KUn%KXb}nabidc+Fm4W0F z_Z;4%P&m?A{QKJR@+Nz)w)ULM(VO*R{XaB{SUfC#>R-MsdU*9aHQWq(g&IwZH^WEr zk?Dv~t2h$7&qhekHs?NIEA^K^Lm`?$-)-*uk)rD+JBr3%7PP+HloD_9zWai9NwUnz zd8xbn1zgJFM0})SerChFwi~g?T$`T3DKI-TjkIR%NYgwk_2p7xT|I#**H)`{kdgs7xG-bkRrgplZ zOoc8*Pq#HxUo3fc_!Z~*%p=QM5Gpsa_8WM9XN77$w0edU?pGA3)$!nMQjE{d^=}R( zQBhHSb{&qPQoKIyK;|L116Y+`+-w)n^)k5~W)P=aROmDX)A!3xh`1NW2kPkPTOYqk zK-Tp#KAEoVrvv4cu15dd>+w%-6peNk`tlVhT~@aB|4`58p2jDJcV`g9?;i*wi-Xbk zyG0$wxz%vs$9mQ5(Ac&pCUc|^L&=(0>v{W5Nv(khQbQNb9-r@L-#Zy+J)N<#9ko2R z`GgRdDKOM5;+(0pe=F_a&9aNsX~9`CV4HLz<&bz{8km>zcdyk@A>rnr_pQ7o#~hEU z`G?@dAMjox;nfxms#Kiyf3FB`ns^4y5U=pP5c&@e*#_uTO495oyEe6wnoLz@xtwQ? z8U}x}=F=r}{Z%-<$bZvf_`Ehqm$EW9ILO4W8~Uf?E7-8+q={w3C(B$n0qvw?`!r14&kOeajXcTzloX}FSj>%X~$a8 zq!fJPJG1W0n|=IJnxd{O_2uzt#*3UMwjyvXxj{aEzX8AIQ}KGmXpfxH_B~ILaGRxj zs!Vgq(bLmdp~WC|OUZzQpphfJ7{(K3L-p23i2m7IZbWpYYiLc+l}`w>C25lRayD11 zpajq6h(9noQ)@F*O8IB&XiavkAy~?YFxAy#ths>)nFqH4o#qX#2uWmbA{#p}&V7b6 zbOc!IAeaGU-ItmYPtVP!tED9Oqo#Nq7Neg@Ns?Ap^fe21ZvkP5nVg*5Vy-HP|6xZ~ zNmaGdZbO2WAIo?63Mt*j-Gm#;q{vxArTz2?M3Q@`9&k|B%nTi;ChhyJqoMOSWLkoOm(}Q1haxY%o z63j>I{#6;l_%SEU!hw6HG%M6ISQ5u*`9xu;k5kZ*HGsWhv;jSOZs{X5?P~7u9lWUH z>#m#~%CfIhn-{0DQ#Bdom?WcSypJ66loM*9m7{t6^7+hLUzJWBb#47qTr$1lIO9g~ z%?v{g(Mg9oD4DAGe{+HD`mvYwf$ee!@D&C8R>Unk?1a{I#`Pf71e$r)YLZRU9TTU- zQk0Z)8!d<$*Cd3z@*FgL111O)@}{_LHfL(V=lO325QV{0TGqZSNN!<-c}w*=Lz`me zGF?tp;(N2bu?b`#h!lI}z_AccIAai>D^Vf|$FCqr`OvQujp?$CFjOREWFC^nGN{ld zK424kF$*yhXPpw}tRR%tC6w^PD70laQ--5f9(f~Z2;Zj~DRa?$Lu=X?#Z=c~9P{Ag z5DZan3nJ&MLt)JvCk`nM`{Nc<*s4OT>4lmp7ZE-p^`)zYqR=<9p zD}RCKC@&x>llMV$~L8u6jNubD9RvBNq}WR`mdm>vyZYZlSmN*j0DG<*#IP zOceignK={aK#J1Utc}%2UEnWN&I=xAtp>21P{nJ%9NplG)rQ-xyGS7F_e~z$k8Hud z%Dbp{H9w#R&W_$Q#>~>IDE#akC$7>MT@-J7Lb3gn3ysR}XmEvw_P^rvnVi`KBPOu@ zWXBJYKe{+R$w9QRsb;FH@&S{F5`s{)@GiyBpqv>qq}=1i4s;0n`ex@oRhf*ETrPWi zJ5Wv0X#*Aoi;;s?#R@=ytfmJLuKA+LtTY@ockDPQfTk>vmaGL;TJB<;kDj*<{zwG< zXtKPcw)?L3z6;cWjFi8HD6>MR%0QWN+OhnUwH64R{^GPH!P2yOQLYwhI-UbG<#m8(uq)vH zJohxAfSU3{s`q%VY;MEc-rZ44T7~6v;lzQ2E6u+{%k$+N;ycxDcv(@yak|ligTG;JPfg{d$wZI3v4{})}nQ9DIRbW(v zbxe__QePYcDT8>Co~}yJB7wY^qQ&Jx6DRdR^`o?F+(Q2{LnKQPk z^6~;PXjGm71YiZ|`GNcq_S^E2Shhko7dNp}8pCb|du`+g_QlV%?_RHjOkI@~*w@)~ zrX@7okbX3~%~-$Z*xh7dv$h__b!&7ugdGjQPgj|8jX#qZ^5%|9yluSD3O>h3W;s{S zfMXj`Zt60oljPPub6XU{S1;o?M!0$1HIG4y_fq=awQG@+WH?+O*DrCe`#yCv?wvvz zI<$m+S!xgaW9*cTP*3?4UaGOo1_lDl;dhbw$1+8Nf~~l;#~_Z~BhHcEWAu4#>880(TFl;W^*l`Y#KlH(TT`l`{Ql_t~^|`FhqEu5Uf< z-L5tO>&3B4i{tyjcboXjqjF%1Jl0I7_w=$q!{#Apj{I(|?o1lx6hL+|jp3UZCYWO& z7kf9a*IlLf`+*5!_wXxZ1DB3Dj$t>4q83=7n2Pv-P(w6Ai=XEDgy`{v(dSbel` zNnlW4-s8Nq9WUHBOzYntJ1aBUe;`z3B{YN>6L@P}K#it7@oi0diNk0-U9UJ66S3cft9I_#=h1R<9c@d9w zVOXs%`Wy3LP`_B~bZx$U@$v-f&qv&|CAJ7>YNeO2^gcZ{-+EVdCO=?Qpy=^D*2Wtb z9v)FDS*-@Lo;fWlathJ$TzDPk)hMRhg~X;_c+55W%CS~yoWK*qVENI$q3J||_~W{i z-|D2m$3jKA1cLMEx;kredjD=$DQ_WTPN%03LbQhDen(?K>=ewfyD>}lkY6H>S31ob zOu7)W7Q3TLly?X|y5_!xWpQ3CB_zBOSX=9U(ZT~Ct5M~ba__u8ex2c^E+ms$=vJth zj{084$GgZA^=V|}R`A>}lu~8MZh-DtOG4A*q|4*+W^3Dl8%l{912kT=5;M{CuGj*0 z;mB|FKTf$p5wUqipE@2*Fl159%*Cg}G36E8d5ihDj8(e`wrN}t<$4_OT)Z`f=_*WgrsNjB)?!pNC^jel>xo`~ilNpr9D3s&(zb$vgUq3A6m5%5E zI!Y;hS&#`ya+M`yi^nG@WiRm8^0{(CqPU9Z$oy1L+r?pXCja~f<{R86)9C*fM<}#f>xT;DP|vy)bfD450=wM3ka5GrPJ|Vl z9d0vTB#@GW8}-JVSXfpBEz)ZKNBQNX^g`qW%ZH8=*dXEEJ2&DnDrN6oOrHMl4ngD@ z*9}2@*k@?-pNJH6j;(9fMlUmhD9eT2<(V;5IlN_kXS8q>i<0@hKb~!k6yWG*j(j~-`oZ#T_u{@e z(X?URG~H!I1hJSos9I$)>&hpc2uCm1#^SMfpE(n|No4+s%%wZ5K-kCZ7(5ub)|jBE zl0aN_nGO(-75p5oa#;`P{{Glv*%p=Nr=!#td|nI?g(0sxwCfB<)3Hmq>e20(3jSgg zy&l06%C{+*`DI2%Z>mrdI7 z!3;aDVyLJ(QxW%;DKT}N3Nf_iV7Ywl&t#VFa( zb2N!fedsP&d{G)`NaMaYT})|k?dE0v0s{q>bx!)*4LGDGuew7?6xkW=;sB+ z1a(~MJS_#hY&%={$s9O^-BDH2ffg~P46C(cl~L7UjMA+|)zG@~I9%oXy;)lX8qA29 z1zTMxKe=xLsKc(tmCQ3*CH^XfH)qDqYD5~eD_;oYCL>7O1$y9pd_%(Dv1bXu( z#0h``HqC;*@Rgj~SKVeTuNVoJDj;kdkItzeYQaM#L zd`dJZ{il6EYRq}^$y6lsirP69NWsMKM4>=Rwct3dmF%c;DpP8)<P_D)L|Gn7AZ#ys8iEA@gz2W!{Ivn@W#9 zdX68}Ew{dqH0Px$r$TsD+2ZSUp;aJ$U$VvQZ5|Ew?S!WH$aKaB-kIevDRnelj3^Kl zwf|;j;yMyX8sv-8)cV@vD&2|CoLYZzY(8rD*`^0+(>BIWx=HO~MQasPX>#`HWx%M!%38x&4 zK_eeayIl8Ee*u=WU94mI@%UHz#G(l_T<+U&G23qq1myW6Jr>z4(<$P(F;86w+~?18 zQ$HnqRm)vIk(xj?TlwLSb<=i34u=|Ac{nf_1x7UXw^EidQUc5VT4fxAYvCa@uRKHc zt=@1EuOA;RDboY5S_{{NXjsel+`=W@%u<-l{#JRBH?~rJ#HR=hw@RYuG-s!$&+;3< zL`Jw?Xa~)X301>a|EuOGCTh?t3BOU6F^X9&k8 z#iy6Cf{WQds@b;5VqjmuJHXSqy1CaJZ6P!Sl4az{=}pg#IiYd?`P^*eKcy>l_ZSQR z8WV!pRIq1Z@U32eG)VZRpWvr-3S@|SToSGnxE8AKF!KeB5Q^oc1mpg_^$O{ zfJ4E}P89Ss3U|TE2Se)+rMEF0>4Bk9<+~g7VU1EQDwAH^t@I%5m5taU87iET1V-0q z6=4)lu~Wxs$W?B2lz3;ud9G2t9PRblV=Np3wPOF)#v{6Hr>(zMXJDqhNtt={(?|AK z>Vf2XAT-%GqY(`&3MIQ$5j{uMa#{7`y;`tea2S`~K@ti4n5}F|B}cwoLoaK5w5;ok zLV$qF;!iffWL=)Q_V>~NGaFm#^qkLKj+Slzo|X=*4lH>H*h)<`2j8U4+x%%g>7U^s zxgLw*@zxyX2o;k*dnFDY@_A}RKIQz$Ki_7yxI@bp{A`6x(T9!)wzjQfN~59;c-I6^ z1Q9(zvPJBAJ2PU&euS@q*4-6=k1w5F{>_N~^H<=GcL1b+@O z?&!4oe4~rUrx*!x_K+7zYl`%c(74T|}^%lLdX{xQw`tJ4ogM+*dq1lq{F`+zY4{#3;z9 zlER}ji0G0!F}+aXWzgQV0-S`Rr4wHj=NZjljEGdcP2lQ}yI#K1e}_O#z(vi1*>vw7 zydMk36I7a_N+K{HD6xZ&*9*8GAOF0WVB>s&%~J7e&)XeAh~`wDy7K4+848>nfywG4 z8$)HcBD6q0aoTb?cjVViRCq7#VK!_;1-zp5AZb~}gHo8^;yRtPvBnBtX?t=a4N1BV z;rvMMYwN=s2p1A{+(RkXZkLA*W`6DumKyL9BVVk-q|ThPLcXg*^&?~_Yu(UDoEyH< zBaY*qI-T)%wh?Zmlq-`RrlcowBoUH26`<%GHbdZ4+bUjN-qX%y+J@3ihD6bbrV09$ zKozUJ{YJB||MiTSaQT@2Fpr2FKId=5R)suB2$v!4;uK(vE9aVmRn2s|Fl?b2hq>b_ zsYkLV09_V2Xh~UXzI&O-Bh8Q>vit^fQ=@h*gLKAN?{yBVvj@0~ZrbX;KUujXRhPZ_ z_W3gM-s-$h>9CWnoNh)`D=#&-AT^t52DTMt9c7rn4b$*e;T&35&Ig5LoP3Pn8}@t6 zLqK0@4i-z(@SR5!&R4QIek8p)c+EmdKRD=>AVAi-De(5{;P*0B?9d}_>cTmzdD9+L z@8qV9Xcq&H5uwa?8JLxza}#*>lhe&QT3cFj8T=ppt%GZs35gtjFPmsN>MM6&(%oA> z@OVs}LYE8UM@x)QVT^NTnD9%4MQxGrP>mBnwcc!{Mf9xi*ez_G*@9>~mzZQ!qriOb zx}%uE8C?NNrPzF>f}c-TzmmuE`+;YCFUffee^`EJ#WIy~-g z%us{&iNf|nuCMcKKSl~?NougZ+xX#+eA3gP%@2j^V`*_ddF2==h(H5Z&~M}%4y6Y^uozw2|emKkDzs2>gov7vXmTfLSMd;Gd!u_0S zRGu6E{8d%1H%BZXQPstzX6YqNXSaqxV2+5xYud9#u{YuLf@Y!6Ml2eOb!)0w#=dOp zN4)Pg-C<%HhoU92_HN2a@sHZ!9C(0}VKDji323_ExOi)?oyDjVZeFC}xdl;Zus-dm;+aCJTpJ|CJEVaiVqvET#5J-{Z%<>y>_^e;CoG$;_$!7 z+Sy&~tY*smVv~1O@Q6;u1oz6H=k2SU?nfs$Amsi)LO?dqLGJf^9b^4U{u{eEkz4#K ziHi{(-1d{dehF)|iw!uy^SNMv>b zV*ChLH%RPz82W9Zu+K2t0@{PChS%M$+e;77C4DyQvz_#dJ@ z`(yc3^Rjr%VW>ic6p$d&5F}aGC9pR1P4{h%>P^oU!3=X*O7vf%h0pTrozmbm3=cDP zfkc$XCBj8H^~>K#+;TQz(!WAsy{u)7s4Ct}lmo%ayUOk~Kmu zX8w83Np9(tlmw0%Wrd=;dqu8vQuq1J_-w5$X%CS%FVOtkyG~>_gwM{-29>XmX%S7A zb0OXjdpcTk_g?&x@$?%xNmhD0W7&fD$-9F!@{$g$R z(IIRh3bwp;U^T9QTJrj}C?QH)U=`zZuiJjnK`RsJ@hNaN$buc;3v9aAhl-aq9Q3 z?nko}jJsk&A{!{Q1iue2>8xH-H;IlAzYbvRYgXM_m*8t5y3mj!^L~&1L+op+UyHUk z3CKq=n8SHIUIs`J`Uyrh8@@%PrV~Ry>S?<{;~|(XtXkkc;Vnu`b$*G+gtR)drY~nv ziI6FgzE;%FQf^*xMyL(k8CNpL3%K@Tpl6*+iBrNg2Hg&uHdx_Lna`Gn<1&_avQCAt z^$Es?XxfUH?RNr0Mk!fS!exh&+R5%xJyA%SOy!t zZov)IG=7vTN9l3^ndV&eMN>$vbUD#O;#`3O9(CBvWH()pK_60Af@w-xcN`8K5HxBR ztpIhHKK^Z?;|e;8TmRnMRht{NhIF`Mm7(MQm#6!p4%|cGI?3sYLNYH$QT7@gh1cXS z%anBGOsVFq`ue8iXwqGNQR}dk3x|HqN#Bm)2JLjQwxIL=YLAOsA5KlLDJv7fOnD|f zlNYW|iYi;G%yexk?LjC>9?E3jzUD|cND#QzUuqU0SFMG?sBPu96)>@M0tG+A_8i$| z1gz1k3Ob$2&qBWuy=i;Ru8cy>_&TJzekr+~o~MMMmz2fF{Y;X6bhBf{><@kYch4dZ zeU`7Xf$5Lb`@`IR)vzy?ITLa|BBpIc(JfRBX74x5IZ-nqLj&DIbgy216-A;Uo3`rI z8xDQ9dNAGjevdb)+(b$#F_^LN{O`8Y;c^rC%v`y5wnTc)80)Ja3bNrc+|e-g-(yNi z?mYfiD1fKOwpFa}=yQoG**h4 z`Z(KVe9EENzN^11e=j5*iyh+zf1bb*?ZAk$e}jt@U>XJiP2U{4{oe~}{>qlwa$XG1 zpE>b!n07Nh{*jRE{hVEn-7qDUAg^+YHcLawKIFbvT*G-b$Z~Syp+*}gLmGtv-$jo> zI(k@|(E?mBMUaJqd)a9VA16KV}dmlec+{66LB0_&7}a56Irv z(17Cekuc&-?s!ng>h`snx%po72m;IxP3J{NfH=&ZAEnjr4qbh|Cx$qd|AIt8taRG` z&!;!#P6u-_rFH)Yn&x>z3QO$v{l8t%zcay1z zWC0+!A5MuaC<#)h%Kz?!#9h2OSgOJhXNL4_fXn;uQ#McX|9gMHXK&7v0nn4jyQAfUL5UQZ0GZtRML9o|2Z8_ZK4Rp0?aKQ8f6ZVN zy)6Ub@>2l2SWh%B`PvnX0qg_cg^7;mdtUC(Hl1>5z{i?Tmuvto5-|gVb?!20qg6Z!uLoT*Gfo;^@RPo-m z7toKS)u;|#SkRP^l;qloQBY*fz|oOSBD*4UXve`0bi2p@ z{P{Lyqz~#go8z+l8{eRjwqt+&Ykc;~VK7gsckmyhvA{Mm(%{%8L!iG$R$rHXQ1YKv z`0XQbdVY3$o?ra)|51UNmp{CYc`OG^VWXkMuHHye95yrbO5>4Dps^_FtoH9&W$4^D z-WLkS0XHgeYS>cG8Pg!kh)w4^G0=~{Sv>OU0eTSOZMrJ}@3jTswUYn0%#<}e5b%)`NqeTAu!EGIWhNr}zIC1~k&1X=nq@kt;MSZXM_2>RaMg|GuyMJfP zf5mWa)xqK11@Pa0Uw$}rex4FQpDRO-QVrmIWO+|sJze+kj{&2g{|&^pJ#*&&Z~%H6 z&%AV7TP9HNLuP0?M}^Yw3Euz^g}(q|ENkze_uCwy_C&Ou^$p*)GVZ=QX*M^DdNKQA zI$Y$a`pb_Ckx)a#3}${&nkhjqf526$r#hLT!rqmeBK~6I_Wxx!Mi7Vc zrF8VD4G(b?|2#u6zjqXuYFuN~gmni=8kX28LNM|W)_0o)^6|rxNnrI)qQa?f%Ej63 z$w`N0z9>zD1gGP;NPloo-^r3u{sCx!^S`^GHYpt#8uPA8;v2wjM1mL7;@7}WIo*3J z35b#|W{VucXtq$nh$@dvHwL2Wprwmo8ZH+&sI+H)s(m1F_+HDilTv9D(jBN5|hl24V#iAC)iN0 z-B_*&ZAkQs{nQ-0S;Z*9_Bld8bKh zUbxzQw7D7tY*`9eHCwji@ikd}n4{^2-oZz@GV6^<5RVZ9+Usvyf{5aW0#NDrgJNU< zm|<*+bp1TB5-h_S5_sahC*<>9+4w?hUT#QM`Q4j_0tWkMGfx>StxGG=4{mj~WV^RL z!LzvJ8bkYq0^J%lHN;zMCNBmM>s;F#86#=AUrM?J1B))sLi>F|Ll-9X_FD)~ocByV zD6K5Wk6`GuNI+B%!~C!*=i0qW?l&Qz>hX;qb2aB^Q-04mhk=opSxwzo1&Qcmqu7?^ zOxf3-4{+ttW|&glMY zo>GBVI5=w4#!;L2;a_yk=7l@wD-?j>Ms1Dv^reZ?RD%)I(CfiWwAT~pIlxBB^RA+t z?WugQ)Yvg=#Xy3pQ1(HY9VS3Jov61C%$*6iX({A44x|du%Y>wnqLEZ)L)7X_$0-0l zD1pTo2@o}R5JV6J%Y}XXzwsE};W{gVbXoWkwntydnFY_RDfhKAt8lnPTpF5Q*_p7< zVs%5ucduaK!0+Ud;&L07lC#a-*dgco!h!|?RhTq7E~~EzL7sQmbfs-HoZJVN&XMvS!Vm?j!tvndTm{NJ#@X3@ zdkRY;V}_mOZ@#^#>e<1oaUOGmlb`2%W`fHK93SvwQAp6fu(_dU9XeH+8_NAaX%Nhp zV_b+DQFpcDa{=({}1pm4meE=T|hxP$K5*SdaO>&EVd3#+_ zOksKlEBR3rl9QH+N^+JBp>_dW-jl`F8-^g1?$kDCqd`QLW%OI> zauWkxaFlw1T=4_l6fKxZ6Y4n_Vf$Oaj~*EFl46FXCTy%nRZI8Nbrg(V*$WE>HtUY! zaN2izR95-a^EI*kraxw*GaKmyrLj6!m#Et0;xA5uRE9Ms-ufo{|YAliJPEC*z-`EZI!V z#KII*Y;(0O)@peRD<)xo2VOd`sK!`^$~)QSmFVP@{47QeJ|WMw z6g+|*9j2f`VcHS4!XPgiNfHJQttOWj49h@w`oiYnb*oSMz2_5J9^-<RMoqt2!F8 z3|H98rn>cCTIMT<53*Tm41N;CQJ?pi%jV%>el!Bn+2>C7^VuZ3?dD^LRj~fr*1*`r z-$YoB2jgS%_GXl7QVrrpJyiG4lTO8`nnjT(4jP`?^zDs2P3#P-o4@+$7(pTmNr%!e zyIRw+QB5W-!MA3nY_1RFW{GPw0v0kPpZbbp01mGsAV^H>KUYGC>3 zRRSkhGJgh3Pvj0;B92li8X!^}{mDZRfzeO&Ex1g^$b5LloC3+O>eNZ=)LB$giWtd+ znN1l~yueZ4A9+8mgO$RdGw|KBTJB&9Pkb^yjx^b=SopAT_;9DqEUrLciryq{nHeHN z^h=;>`bHv@-QW!$v71i#uz2_|<+L7gCltx^-K44)^T}Nh0R|?_KOMJD7AqrnOuY!7 z--}mTS{j6)0V5ypLVSa%01kJY^GTxj&Wk0&m*QTh`cu51r1Lm)e56upD3) z0UL6m@Z|0P80iSw{39SVvMc*%ijDzQte)* zi{ZcL_rE}4hPrs5^{_~izRtJ1yIafc00bZ>+4WP;yF26FV;Q^6!+Dl^2`o zXU(e{b(quT0_7+tPMYQqmSTVY|Bbstv*faPd_u|oPYR*TLgW5JuK{mKm}GQg=CFAa zaA{hNDjhwPm6Z0~S_K0?lK=P9&)LC$cnU_5B!r+g_Ve?9HVh0Tw+tqk z%Nq2-Y6u+d&w#{b1(*%cC`bX%W9_`;YTQ39oxtpe%zyurrnIqQedZ03N9#nsqGGdX z?s)q6jvE6Ij!grd-v1r#zfjZv>|1a@`Gs=Pxm#0_Mor23T^Jrm1xO{HnTX5=u&SE2 zub*pH&oMAipIS&#x!}5$g71BQ0;H_* zJiz6nRj-#(Aywl^Tx4xa`H^-LuzEduA=iTuXn_O}Zz>tWB$x+HSP`@lf8-(Kw1Z6=!c4h91jrV>)2`i;ZLPD;#l!0Ho)$ z)=uQ&3s#uMeMLFZ$hLNr5Izuzg9H09N8yZzw_sUh%g)jtHv+3cD75iK9kx8_WhCsy z3ywm3X^YGHUq3aZ>Sjf=$#dtYyU^fp7YJ22Aad(=EG2p0;2Tl|L-Nx|urjU;h0E=L zQ33D$afeoTd@L}+`}5O3P?$aMtp29L6m8n`f__xEas7IAgS5_dnKb{W3;{9smvxKH zds*#_sjWj!6@}2Ok#NM!i$)RA{GJa;X&g$9_<#$w;QhzqQkjyH^-H}g z1SR9c+`V=j4_@8*xGEgr#q?YaGps-UFk&)zLxA}_%-eY8$wSF^Cm|Ded;~r4h(@WL z`|+VeR8sl|AQsz<5LVl<_}dtv(~bt`h)-lVu(fLXAvakQMV9P3KRw7kEhXeb)zIGQ znakh!4{}EFFS`EI@BF4++H>IK%+>66VFnaI#!w=AVM@fmnKvg-g9wX*B2#W7!B$4zWxZnGJyvmc8k_I_pmsl zbR-;8S(S*7W`)gvf^j+sZ{wQz+{;H+5ehJm5VV!8-l)>LRRUb&Z>p6IJJ&c&!F_-K zZ%HATjbqOd_|#;(PV+;cTN=&I9_}I`y~pFE44{od=!)+*e#jnMIco-5M850l2RMgR z{->J}P|JV*{n+@r-Zuku{sX0_M30a?9+~DB(R()lKzZxrS|ir;(xx2C^zp zjuCuEfpQ@sR^d*HsTn$wiQV zYd2jyopDt6@T8F*yAorbG58|kRrS>L#b@h`8F$Cf7cZ&5hAIUd};{s}EF@15cDn0;P=*qM1wmhU5O`;Ef6LSZlaS(JM2D zkW?d#n1*(;5`$04VmLzW;f{|k7PSnIP3F(i)4wsaJ$P)C!-%Jkxw&?9^^(i%L#85h zGB-P|QM<*x9mKFrP+2dL44P8V7o#NZCmN5bF}@6)j?N(UE4@{0fQ$I)MfX|RgOW|R zUvAwHMwzVM9GijnP>K#zh!PkM!5XAgDt$#1r)65k@86#PI zAu^lLYsRaVK5MS-_)*II*Zt_Aqt0!_b05m@+B3IY7UR~n=ChxTO4q4l672u0zPsfN z4!!;jMw6IUq5sxo63Q~gql7z=NoRhdktxopSlQpNi2lXz%0^~!Wo8iH-Q%Za#m!tz z*FW@_T1GNz3?duM%wt&NIcx4Oc<_#mi~@})JVLoseev+yBMmz>6BTf7q{uB<`Pdm_ z7SC%#AfkPB|JQ{#t>B&qUFX~F&x&wg)7KG0Efmc{q2;IWuWEBmmrBXqUG|-ne>giL zUuX7({EWmGRgF@}2%trc_L%oQQU$dWQmqrlVcfGlRi2xhtEgq(*!q9&D!sySS19iS zpXZ!s8Z~gg$W_KE*{an^6X@IhUe9MF&tP7lB@9c`&F!8bE!}*wfvX&1%rkhz|IFUG zdNERNkVRW>R3tRRMeg{=iY+Mgbe5FI`XZ6C}Ziy^iDH!3>c$VnJJ zymaz3w4KX_kI7eDBw;0?+z=4qZ8n5PKnoe>s8lE;+rAIjJlY( znJj>UmS0pC3T8nhuB}<(if(hEtsznnpfG3!86qk33o^w3r8>W+20NiZ7-f2?U+(ue zOiF>h(sX3fg_@f0c+G|xA(4idQHj0JTGnk5ocXem-IHF-37ZU$7E@f(whfi74spFy(oyJozvej8|p+s}+k>P3S1`uZSm(16<0ZJy6w`eK?~Vyz!Ca8%6MvHawxt)SEVhSo0$i%1Ui zFdIW7-^&q<+p|BW2D1`u7!=u5b;OJ+@vrog#W=C4c?@mgFxWc#>X?`E;|H`2XWNc? zh7*4qi`iE|v?d)v2_l5&_TzAB%=%Pmy!p%EE??489JUse9;&MPBs@GEbo~VECSL~i z-1}WM|HrY&C*nD9?}v0g^SwMVaFydP4!EH8Xs-LA6G??uE!oz(=hqMZ%KE`Ylip)T zJ-69PGV-1)zplx{wMG=nA`8|9CnTW=;w3o$*zEqO&uC@Uy4Fkb#S3-V!TP#nMpk?5 zz+ezQX+ihS>QcafMf;i@n(4sV2!5BCPqQ89{9+(=k(qQy`TW zXSxn9liRav8cMGerCIOD5i(TWk`6I*&g^oHO*IBWxovzUKA4pxF z-8g#g?{MZsOE6Q*V7Szx&)%fqdAaXSJoxf7V)8{oBQ?i)r?PKtUY*&@dghjG?E)3& z$kJ(+;5%w>CbQ63Ly#c%PN0{^4E^;>{IzeeCOU#}w+}}cG-5Xg!x_asTkz-S(os!d zqI>}nj-2P_YB8pK-5RWQHG66cwFXr#rya-bIu=h*Y*7f?=-}GoA1?@gcxQbDzeuBR zeGvn=y+#S^6n*&JRJ!#k#Z&B$v^vN3Kk~UKoyZi&i3tY#tM!=_t(mo{LZKjhnk{~@R_#2RdLQKH@vKLaagZd*ZZruPr!80^?8kO#Y20}h zP;=_M#;zYUL$&Gbz(u|~rQX!aeDjG0JHwuI5_OKaI9iX6j&23b!|*h?hKn+cfz#$& z-`WXOudYGl1Be-WNunrWDi-w#0}6dg@8w6DjIZCng`L&Mi59>#%q_(i{~QkgB~+2Y zDfLXsyz~v-Uym1?npFX%WucI5NuojqT6Y5cG$gx0gMh`%8LJKE16sX4Q4`Y-7g@nE z_Nr=}pG$CNpMi~-CslJhZB0kLhs=YCynW}%8_m(ChWr`gZM~^?KHnaUR@Rd0Cm?lG zv8dY|ru629H+*1{ZA)Wtt>k8N<0l*t%=)Qchvd{eucy5eA|!7;T}6yL13YvK2&WVa zHBGC@KGxMm%nsVtBN3f;gQwbhQaG44m00y-3i-5NuQjtZ(%&+LWP2L)mUle~#ix1v zaOGF{xpX%ybfA(X;|()LWty*Tk3jv{CryA-B>3htTfmiaU*&_7qaE1oUv_;}Dh>PI zv3nKeYT!0}r`BONc%q~tg*ilQrz4%ccVfdYJcskEkNd@&d|rpos?>D~hK?hkKRJ7V z1mcczv+vqqs&sB%-lp@lVDrTjRD@wYIpjZIXx~3)Umz9%6){WQlw84in_(@{6D`1R zVUEL|C@_wDHK-u(!{)F~q8W9k`9EhP%+lC7OY;H6M;~YWj(%3b-Nqw?8Rbb4;H!X?2w`0n`^uo`!=@}HYZ4%<>^ zUI)iI(X`5neuladW>jsDvNIRl)zfdMw`ue3$IFVw3pz!rmo14KK3Z{BTL}E1NqSNZ zP0786Ba|!To5XxHYWm#h#Ds^hA4qXTLurn4O%5lUV@W20HlsNb;Vv)Z8xUN$k~OyP z1t)S=IjtyEQwv?75o0;a$=LpXe*8_m#nK2Vs6?8?k~=9(T-O~ZejuqdC=y$I6HMeb zK;J0W-$*<_Gr^YhTPmbz)P^6rC;T(8^U0R0QR*kjM9&-?27*A7_f0`t0ixx~RF^A_ zQ0LKOC-G$c54`_s&i?BE<4dx7gUdOv>QRoH)?&F^2t**7dWCSXh_8*X1L_wuIC@Lh z*Ar?l@XAYOs)$&75AA2Y*MfiWg z?~pPv)^+kGN0^Hh6<6GWbm*0+47K|=nxTp3e<^>7`v_3^?%(tB@=El-+(>jA*GDxp z5t3(s09gRjA1#6MtO!e;<0&6r{P?bV#^b^Tv`+=#Phh=4V+r0HIiGtrPDf^!-glpA z|8uoDov~%|5@t}5qtI5x9UrSK$;*mgY_I)Z$dti0@kMUrhNo2OIM%LL7bg13B_G<} zE8y16`KiBOEiZw>w>dR=Sd29~7-lN?ue-E|r-bIp!VnMx36_k7CX$e%g1;FPJQgbS z428izeM!Ta-TPnlOuXV!v4uxE!gQBU9!_~6ltQrzRwmtdr>8d$mQNq)S2aaoK;hz0 z7!Ms%P4;u6<9*^ZD28U!Zo~~o1Mw&NNR!w#1q>M8R`OcuCPIj&IT2g#7VBZ;2i zF`40Pfj&}UY)wG!38%TIg+vf@oKvxbb4gKCY%Cm3q7&0vLoG|F&rX6f%t-H@vI54u z4(TPX>EN-Bk80`enQ#9i2vsgTZ`B|woRncBTL0}NT}tK_vpzFIQG_r4^C=v+5wwwo zlGISc)KG%uZu6Z#5XbTSPx2w$Rs-a~pgp~nLW&FZT8p=;+04s#uYs(A4OW$l#C*2K z2_+~g!h+{?maWVK)OfyIP@EGDrX3moGiIQPgC{5WY04)Mdl)ZA}4u|Iq zAJZXB!5?!y4F^tHhPEQot_zm7SF{(?;=tG8^f`R#{tNP&g>KmQh?hswjAXMp3bI|Q_DvB83>1z`>PU}pkqXd(~^#cqyAzLQT0 z3gQ3+P(&>|8dx6$SA~H=NesxhD4ksw;ukA^IvLoCCz+@&soE4dLgX>)^hf|+xSXGs zmIg})Y9-PCzgpQ7SGrPWWuf`A_&@JD_18&ZaOT;rqKU!;Q8vr*R>|*y*158_rfFz6 zvz6ik1i|z%8!vzjxNo|ZTlPz(zS##PRhAgzR98HRLVYdSFG&=Zs+sHVn}&a5{d*;U z1qKv#rKT(`nyAUePy(sr;6Fc$oo}9_|9RIvkwo9yk|p2CQ}Xb+5!X@{NH}n!gZMB| zMy9{D?7PO{Rsc?yTbh8QwpUSr47m?93`Ud>1@(gU*g6y$liCa&8{0u~Jie6z-l}$a zD!(=mwOKb(EDpvCp_WFSxcq-Isylzfz3i;{KOLJy5+)T`0MqJgWq9+;Dz#!V8FZ+- zE`19NJxWUJVlTpU(#G$b*$(E{0#9+J0@0coB3D8lr3KW)y0NGHVg|CUCA zfmYayYQe6nl!D)-?fn@C&$pX(>7QGa&DJS^0D&Qxfx&D|1GR)+&6i6C;%A*P++Hc~ zaiW^NXu^OLR|ZB0j*sg^NL-?Z_`C;Gg!9mFKW70(M+H+%|ge6KDxdC(PTf7w)c_ z@6xNP;y~z9l9sx7r8;&j_!vO{1x27ds;qMu?R_3?R26A}uclM(AY|1~K721pNyGv3JJeCBn7e7+64{~?lAfM`t4P$JX!}EJ(oX#u$ z`EeABzU~_6wkuB5*g7Q0|s9@0N*&Eh@K-Asb+&a$|KmG!%Jpoj^(bBlW zUuDCHxE<%k)I>Hi{J-(fj0x6yU8S!w&mb=se7^koC@DwR)}n!2S=+%2P?)-1yFxBw zKe*zi0o_mMT6DYV+0Y5%#qhHxKm)(n3*f}#lR9pBgzc|1b-K$ax%lz&k{dK~NInsi zRaZ@V7O%(NcLR%riO%oewq>ZdxJmL5~J`69D=7PG37Aj&5q~945%@RDAshD zr0B>WNlRkTf9(<)vc6uw3xE1=?K3^ecl^lqD^@n@vN*>_UUWbV2)SLyb8Rkr{dU(S z2p>H}a`47QUgdV}8(ZvYd@P#ayeBOxqs!jj9{AUeX~Oh7KVRV}Pf7S~QtI_@$L)%V(cGn zixW1gjYJNC)&$z|QF1I#v*z~q1D}{oJ6858Gd}Ap)I0XiFg-YXKDvwx`DN($7LWn| ziG$+Z7f@H{V2LuZvs*-ppS}Y?+r}|{nN~!98!02jr>W5sypuE|$;Na9XKwN_5?xKjdQgiuNi~ zlgF)j@p`!m@-xM3p~+BvHM6>Dby+qal+-Gs9|>L568e6W&ALKaWOSHVyBDi$!LZ5n z)joJLdBDrQ+vs3tQ2R4?ac7E(f!?(@R=gIo`)kFhaBPIwuLCnBuZw<=O?|}U{+63K z*^5i|qRJJ@2-u;#jKPknY_<1&Ii@DQAfTO{QVx%E>5K3q4U?aNaD14!z*1ZwpY4w2a{g8C#H*JoVXfGp(UAF4SB^96v)S*}t)l6@ zzdrZ$4*zL?h%oPns>?7{$g)rw~3X`+AL{fHxDG|8q4)Q7Tk zhHw&66Mi%0-|Xi9P-9k4a+`!iPjui`BhiUY7K4+Pzn(Fa48>1_0@sqgo0=FdCrdb1`Iy4S{$KyA zYdtx=CCpQ9LVUh0ryS50vv5GRAZaK>9WtW(6rnR5Yfz>Mc`S%vuv}hPf z!7f(22=3@kO`VrM4?;fE5=4}FABgOVZKd$p+1!7b-8Dc(dBgA1PZF6v)vCMaj~MZ2 z_=bFj_HOdrxyXNCOiqQo%q8Xdx00%=SVKymlqYV5XnNm8I3zdTWvP%TeP~*V!@tS& zcfpqAFlY^M^d|K%ypnKRr46guM6Pq2+mTwjAa~oh-7e34=RK~^I$#HN*Jy7e*jMZ1 zIZXf6lyTsp&%gTd#La&8aMI_kpvb+F_!A?qX}(hmV>!j9M)l?Arn=|i_nL0@eJE>= zn}y(WXfY8?YnSW(h@3`fs%E}O5~MjdUf#j`Tk-rwvJA~<%}nzS=12SaTM^kAJk7|Z zQ;a~n9Q)<*&iU-Tp?ekUGtaZt%$m8M$ExbeVy33hK9 z^6=7zs?W9%zeoeCtMa$0?QQnukt?54S4k>%(3SIEP|O}2%d?qOlA?thw10!Dtmw+` z)oa~+kNWsk8&bSHP=2Rqrp=31+wOk5->f|4GVOWXu@Wdi!OkI2n6rF~lu%q=J8c@6 zrFj8EibFM`S(ur6XI2Byqi$k0aM4~BPb|CF0|5k(C=VajOT17#PFgc~iBbqs;ZICc_H``ntXaR+!Fasv(Wsc`i0lI zI;T5uF$&ziZ9QR}m+!Ajdf}@vvAHOC*0;m-_P*ye^{%I-#FmYL`yCWyjp*H6GVIoF zAE3;W{dID;uETy6W5So$N4o4&U4G4eWq@>iQ&|>a>wn;pAW-ct+&s0oT;{Wm`WfJo zsTMnxfWwXbD2oAEHlhx{IAZ?KM7cRG`0?ZzE=u{S+B(N!@pFFiTCZ2H$f;mh=Tcw5 z0c&#Ija$Ojl>}$?djp`60D+#U&AoX+BOktY)naN2nquzL)S^$ROm`W~9~ zRT8UPiK>(iA}3U+@2HX^4iH|Ktl&T0JCQL@21z#nAw0OgKm;%ld}!_l{yG3uxXigt zpqQgY2qN4+ zDAN(}O^A4{4OIVZ8lPKR?c|);8D00gSY~MW{ARcciah^9wt@CM4Kk`*y>Ayfi+d@> z=6y6HapP+h2ECgT5&Qt3Shd>t5^Ee0P-Cu|Jpi{CKU~utTZvAW!S=R^I$ zkO_Znd0k?QN$LLi+`T5{!+N}u{mS<9YUb^;%E-F@YR=r~d-qXSSQ(Dpnp3@R!wE9- zo1Cff^wPnDVzGS*d(|6{!hBn&qsa!xpH=*#jRpB1)TY7h1znqtXgR1|68~F!eFY#H zZjUwu&s(1w%t?%A{krDz_;V)IAkL~IN2@V^i+ChMYkVcYd?19lInln~^bRJFBHGf> zNtD%)+~A3g~IJY5j8S9tMdLm_2*ZgKvWyI^NIopW~@f~`_#2Qn|b_@ z#?D9|yXBu^Y?9?$hvK0{dNNp4l<7OnOX-43Z~LB888)?k5Esj+%Q;t~m2$S+F}hb- zR21te<*XcXi;vxzW1tNy^XvD3i}Yvh+DE;~m_giauLoYb8P7oSE%Je zT(Qoj?9Nj~EUwfc1=J0yuLp->yhrWDi1zrfYdJ6Ozt_>`&$NR;W~AuGPu?4Wdx*0k zrPGQcqsw{XJ%Q`D(Pe(ip=8&|MM=Yc^aNoe+s9dUkg0w*ebD_)dq>xUSDAZ-uRAW7 z{=HMAuwisn{I7=ZpN|L$1eNK@(h2j-L_l@ayPsQM5ESoP)#1?%X>(bzl@G3OJj9>I zGXi1;bOcf5hsUnb?P+zh6TrWYK#W`ofbdnajAv%Gk14`+R1bcfilYe>+y5>TVqC2i zD5s3o43-Q1{5pF=lRJy;3NI8PnnwiQt zp{&td=Ba_%#MYPjw9Fcwlehp`>BGT|=sh=P5dY=vEU{hES_902wWrgz!b>5v!xRw; zsh$dy*~Z+@KJ7^w_Sb|;sa&oIW@S?~2?hzzc`!VVVjnf&XEc&{CL3D$?NHf1(fMLX zamE#c{fbKBeYOPf8_K0>+Bvh#8YVsU?Y1MGhI_8}U z|Ncua>iF8v@_Xx`db`pmhze<>QtWl<=4||xmWlOVwI0~;wwTS;EV4@14TTnmNBvy0 zuTQP9l&|*Yd61S%6{J4&_PnGO->I5h0>1+7cILwv%Yg95lo;h)h=@IpWl}^MId*$( zH+G!-PV*xjEd*8&Sz&Ore}G-j?GUe{(8K7l$<>-M%eAk{xXKrGBmR=nUmO@dhkWKN zZ0`Y5SORDjSC5pUW*fh64b}kT$N+w-!W84%ED&Y#JY896?@moBUHhnK$MG-{ne=L2 zAmA$@mXJe_UWE8ZHVost@DebLF&2k&se`y!rnz51EnKI66)#bp4u7@9>~yK-C_8mF zOW|EF@6kGOKv-c*l~#&HIa%%5;j(BrnKtwDKEPU^zJNCb>R=8D%I%59j1-FyjR~M* zs_38#ia9;5x*kn`=F{sBRbLoIQUyB0zl6|tw(YnS|NdRD#b#Hp*qa0!_-i+LS(2*B zEPPjkPNJ(nx_*FF%6d8(Ku3JLqcWOM$jcN?gkIg`{zO(y zI2}1bxywp!_Kts~k?&s3JvPSBQj34nP2Z_b@5p%TANQSYO&tOGJYRD{s*paiKNDcw zGWa<6ip>SP;Cd0co+fC2CBjd9v-(ykI5Qbs505~|Qj_5y6s!vJHgAC^<$ei>?gUx( zR0HB?Mja6py#Pt{0H7)Xir;e$nq>WdBz7BB5241a+WFUmFVaf$f)Z(16YgUdQc{@& zgbe$>kONo$brS0UW|V_?_k@Cwlwo6Z)+W(XDT!=s&S|F>3{#)?a`YYUV+2-+pjXs1Jdk?YgJnnJIvqos3amkwSC`XoXXFNn(^B(D3)PhU zb17_-pWCWUJPq{wv-f1l#%biuSm=BXeKQ?&mcXZn)YzdI4=N}V-Kxw)klD}@Y?7X( zSJY4Q#5ElPB5;A`8KmH{liD`v5>A6A%bLZs#2{zLq z^2>zUYi4Ety4kDtTyad_fmnpHjEt|<^WI?~ZW!+q3PKLTCN2Y1Gn$G2g@r@Yg{4k` zUQ`jjPms~~uc)a0|0&S_!)eotk50m&5}>HSIu&!ZD{l61{Ap_8{Xh4pVrg0S%H{uT zgi;~9^i*lH>g2eOWMvIuG=_kx?Id?m={y7Ivm{*5QBB_Z|7y{%|19uKz+~vXM=7c< zbpLxaL?vomoHZ;obQ0LU(SV?qsSM+>=!uDNkL(PztpCtczZ_@i@H+L4>m>`vu0K^g z>O}x(Ep1|pRKiyXaCQOS?8$bkt`|9lZiB;18>eFO`OxW29fJg;8^U;eba}04__V5{}fw!S|se@vQ;c%Kkm1~_ymUHZ6DP#}u+Me*+>;c~dbD?cJm z!GQJ8Pif_jH?1P5B$L6o_?%^*Sf$v*SpXF~ZLe84Ce!L*j`3#khc`k!EjRY?cS>lz*<99WmFX4Wp9PYAko5YE4A%W-j>=Z8n{Yur2i1?}zq!tsexnnK?xW znXx=V%){<`IS|w{fty#(8n7=}Kx9>g;_K zSS3O&JQBcnqiB7UL(ii7C;hD7*<4_mUhRA7XA^VhSfzU8pH#Kk*-Xl!lsSG4EJDLG zUm}(02;R3&%Q-Y%K3pn29U|0zk#ONXWWaIL%1!P(Npgtg;ooXPjS(0u$H>`l+_&Y( z@o=H^5n?s!N@8J4)>d?2s;21M8S*m1hf+8)G!--nOkdjOc^n?p_j+wEKBVZ(8y75J zxLKXOML;z4-o2kX8?(!^SqzNyU%G8ZypJ3bukU;+Wp^@?CCAZtWnmfD@xgW~a*Hz{ zq2scUHL$=$qq9c5w{~s(88bWVkt2{#@j_i6y}XpMEr-)X3f5CRnns)eoXDHf5Bbv{ za7X__kiT?cMBB){dod<%dW1L!U&=f_jtEb1{*onsf)8!K`7TjfIvvhh3)ms zdU97b)ook!-9^T-+srBV%C;bQTHU<`gw<^rKT_L`+_3ptcK#N5|Ms+lD&rlqyP^T? zGdmO00syO87e6k16cRdUdnQ^5oEyEfzDNBO$cfQW{K!s^E#8SDW91JYm_b(bGH5nf zfq$71H(*w6J)ttVn5^U2^rh$s0BcgFs#+L$MS1=^{Y`D5e9AdtbMp-{y>z}GJpewT zk+bbOFDbb#q>echJMm(Z>Fq9e8K!(#F-Ts;hP5KF)!F`*24(`s>=Zl6_x-*AVs~N6 z@Q#ZK;^6FC$C8oTSh3gHNhXMAH7qz!4X(`J z9KlZo^)AO_bJEGreS6qP`!`gs!jzGWo(qmgLYF0veGkS&5)v#F^*~>cwAX)f78ne< zNRF?!QZG1BlB?L`8r5n?kTc(`G!>|P&Ci;)eS zZ`EK}i6YFbzrTNnZ^Rk&XhB^42biQ4@CBg!ISs&za(&i(mzkRS8TeI)rxV1Uz91uG zVqw{IEdbHSfRR&HR_;Ln;;m+GR}C^Xu#TspyQeZu6xN=b=Wutn@AZW*d(!G9L4*e9 z)oln)wBp6(jsWq+h?@8(^?6A0;jAoGaSP*>Zs==<=)+3M0z+eUvE+t)2N!MDA%%7L z-Kyj`K332bEg!Wzli}gm4qi!Z_v26H>@8rq#2n6E95r>W9-e5KOC6`!fljK->AI~} zVAw~dgo?t-sldB+tJz56f^7uI#d$WBTukG0enY+1c;=UF_UGMKD&0|c-{y&A>B*8R z>Wv4qpAzzP?%yV#FaoJ+-tTZEW`|0w8q;HIcQ1$;BLx)rr=znl;wuVNjp_A1Y3idz42YaP~&+0F% zp3$)LFhi>QBW3P`K`W0z7>~I<9rr(T&8E{wna;WnBP)1;T{!yj#aM4#U3O$sUr`G) zVEiuV)8$_1hRm##i9_nQlmiRznpw;8sx?DU56B8k9cU@hP$CzR3&{bArk#FqQrll% z`&|ges{ogKRHbb_M>*yjBO?_sE-~8-*tK%TYz_|(HJkQ8BQCOcb@P0>!ONw%BMFxw zI-+biF~i=b@@EhA&K)H~d2-s%6(3C-H=9tc1}Of24TPPk%#^FDxX69- z*y)Be4&RSv=1AKdFI}UzV41;9#B$Jf(nZRv^GxzuueBs9DCcc=?`!GcRWrT~?^7>J z@y=vHaf>T%D~d1d$l>%e0#n1lIz3XXAiY{=(5|OfoXJ*+{|lw^pWOJ*=>y?E#`B?` zoR}sFe7NCq?Ab}qXlU>}gOcfRay~y5*pc&5f1>y4>q(cs8;Ugi53!0D(^Re^Pu3ys zGO%TXqy(g~2RWkQT)UGyTBFwjMlPqJad=N!>bTmjdqNEU&2T`Jtk9r+&O@?Gqx>wZ zf~LCH%V)>1dw)n)asGA4HVn+^!GO*gYuNtoJ@w@`biH2NG^-=m&5gOfRc~HMiu5{|y-Jq6?d%RF;;=!_#Xp^IxXYKX`)QrzzC#-mSw&wyyHNRR(Rv3yjzQb1P zt(SO|$>V>h&_T(S)_Xwh6Z3Jfz|Y)0bCNz(hG_1w0UJ@%-K|eB9#xZaaWkl-ky)$LhwQ2wvlr;y^-sXtS?X}t}iE= z*T5-e9Ymz<9<0~>zw=yJ^Ep*GU@27sRK<-K?D-SmtYW?z^Xx3Wq-8qSWprq%V{!ke zBMe#MuZrGoA)E*XXRbW|#mo{F9}C>YqL8f@iKC-Jo+sh-0H!RunB%rHm}r}Ef#L55 z3GEMx|8igP>piXh@FmNgtxSLB)T78dU%S7Y>2*6b>@7Q1*i)mbbWc0`RBs{w~>d_15Jl zsT29#syyYaj7TN5rr0A+Nt_hMuk*j@b+i1jhiK{B-IYRjaHvdP36Zy3j%jJcBYr)$ zkV)ruK4Smps`(v|cuX9 za#&aypJ+jDGm9kR?;>vpx7Xbw9a@-vWV`7?B1E-)6&K(r-M#!;0(6mOsTU7!p0ZV) zy0~u~DLMag>M=i+bf%#r__dQYfAhKRceHkU&s@@jOE903JT;&TSZA0b zI;h7MOnLLPe5!wPyUZ1eUr)nX?XpYQH5?&@V^ixzH0dC9avA_Sr1kRYI`4TM8#~#V zV_yUE8bA!)-MrD!6aJF6l|9LWK%zD5TN^-d%b88w8>p?d{FnLohb8>_32`GW?dgAD z`hlmIam1Cc!~k%TM(pVp=nZjW|CcfGzp@L5{BfCO_W$_)p)ej(OH>p}H}dvWkS%UN zISAwaJ%%Axo)&1>eaWxQzOoYE&03*p z5`Q^gUO5$xe36!w7v#w{@Z){ZKUD+$_rRf3H#EGGRr@EXd`#I%AGh`)k)3d3Iiam| zA$p2n*IIc0q_YYk(F_w?W$Mr|a{O(jHhYDDkG1W=8-pn5m_tU5$|)aZ7w|^A)}wNN zL6jWG?P>Jia$Nz0l;~cA^!xYk$!G~@@{qF~NXNw9Pz%Ge6E>Dgmm|pm^Yed8N&d~C zp4_cDr5`UW*b>q)iAUVcd0vI&)$YMsJFfl7O8vKd?oRcEd1VYo&1{py!2lpW^6&3^(pIaV}-L9 z*}8g-4Oz>2in1JnNJ(faZJ7JjO;DFkcqOic*WROK|9vylAt5xdl|djrY*$obdGhFi zd4hZ{Gunu9FEf|U(x+xh=Of118sn+Uja-Dg;WpivQsB*9;6{BUM2j`()^8U6zR|hOjA#Ug0-3Q(28Zi@Ek3~-k%*nz zJFcR}8}maCm*4Wzg@JdoC%6!Hy)mc0WZR{?-IUgnA$k%VKS+sDb6&Ec|D9cSisN62 z*z3irXeQ>p%oAJL4wRMOy&l-ijey-GT|Sb5kuiIjRZ=qL2qBr$%TdpkL>-#KFDT@7 z+;oN-#6Y%{ID2_zm0M^tmwRSg;IfaHncoJE!kk>2#Zz08j3V##dG(Obzbl8@Rbk?D zzy-K}@^`G^W@!TTQ$d(npN|(e(!WVSRRajWT4qVn(7Ri}6A^$9;2@=bKC^Uwte@2< zD|fy-U^fBfV%$OhaqGM4;@tQ=(7@h}Rb6Z!mHz?G%!lATRJ7HaU}ve)g^YAi1o-9x zC*m|!!Cw8U8=1|Fx40#c6Ad5I@;{&%6P3_7eqjZN5>pzZ!a)Y7R~EB+Q^1dzTjjTB zH=(TA=|}bS*vQtuJ(5VP%F9HU0i?igWO!vQ7$P~9`{U7m>r%MbZ430lO{%fKV{cQ4?_*z$yxh>Yik`!a(}{=c3v_?Y-)3N>jHTN023V_Y^7xu|Od^KT!!iP~CaDfh%p-x`T6gFoR^Ycd5Ln!*M;Uxo$X^g)t-dVi}2s zjP|zs@lkdJ{&5lO4@&dI%?pjILeuUy!pNz$)wxIkT2Q?F6sB187-BT>NkWMW}SLAd}bh{Gdj8@D@?M|&R z1t0zO+}bEF*Zo_rp|0_GUDXpcf^Vb3%pjrV&#Ri5spxRG9iNTW?T&Gedyt%&=I0Sa zdqvH)`1)+*5rebFw__p)SFL(Gxo5ryStRc&+9P&7KtO_P?5kv_GJPRJ>au>9ty3~v zilnBqD`~!QVXYL%9$iEKcV)1gGT2sLU-cco;VSFhqxjZ_iJ^&Cw;lQI8T*sml#!)U z&+3D3+i@T!z_7rm_9sFTDN?=wG+{w7P~CJOQ5Z}$a4=!M3>(Uj&Q@=vbldomw57;z z_#|gEH{j+FyAXsnf@W@dM{Jf|Z#S<;PyAwf7?>2cq+Ww>N*rJ4Ef>M8I3?k1_t-N3 zeYHfZIXB>IG^>bXr#-e%dy-sw@}f`1yo=vTjb@*YS@qs~gsO4Z+q@V(yLwnN>ZVvV zw88(2{W4}pTHbA*bIzQb$Hqv%=ScoL^PhLaCkDP?d%}-#8^J3UwB{zMWS;Sm$=8mK zwo;p#H%3}GGE*g_l&Lxnn#OGX{S^CDd~U+X<%xsGRmdlBf^`8#dM6;bmA!ApD5~28 zXEsJOJ7IYNx$4*DBpzIdStLf`2wsn-=^qlYE6Y zw_}=vKgGg`?8{xJ`oh!QLIoNkPT9MWQ?oZWIYSv{hp9ev_Hb?&nkNxtbK>}F3zU7Et-^B&pxV6oz zL0#-HTNCB9+;NW!bQ)3dUXZ&>T}t2m*YiO8LcK`^?zH6yp&!u$3DexInz?VeEIRax zF1ES}_soariU)g0iB;EYw9fW^9i+Zxj`#1A;b?wO1Wxjex4f898%od>r&8-I#I_aW%y@+7c;4XL>9tE~rWrwDynOi?1`c=bXAJ7V%J>4ts z+6an>PZZ;2OmV>nzxV9WJ36+oFESL3&IRyOMrgZyG z6ub6ugDTRZqtwT}z#pu_UtYuhiEbP3!LjC&#TDqgEg1^&{om!pc_Ze+go)MV9j#NQ zKrKJ%v8mutcjl_ZQs?fxzG8U36)=$6;Jl@hkfteGeZ8!5h?V&USS4q``gds+w*qg* zWQ6^RtM?NZj^qKSY>H2EZqQcav@CSK5GZ`LU5-N6rz$=? z1Gy=!dx+f|?79EP88O!juS@bz#HI3g#B5CU^NO6?2yv?N`Y4Ki?)Uz?96Li;vY7sT zoeT|z67lq<*0?|-FS4z;EW?oP}8JsF_}8)t_Gbz#Q;C~nNGs(YRy7;>L0 z;iOT*U}$Wub@g!hESQU=@>ib-b4G}NZ1;tM;aGBjQqcW$S@{n?BSv>C`0Ed90v}wz z|IWZp1TUS*jQ-l?>X%e3zlC_PaI;X}cst+tp&5Jc;k)kivT3b=1l=Ph#HerU)Bi#0 z4hZ9#4}54N!9^R9gFKp9CJ^xfG&LwO65%H=7aj4Jz^A%6x6pxp;R%Q)Ln#%*)EvMd zJ?i^>s(1a#lHC#5iMirk!729Vz+2>VN_BjzeBx%t5Vc~|u5l&6(|@Ao+l2q;)q`k# zaKLMei}q&4jk@7Ut40kRT|*IczXNfX;Eqj;pxOE0U4H_93=D>%KG^f;YG#y&?R%4L z|0J{0u6~`=DGO^>jT6E*eYLff`PQzM!ESE5n6d4hj!v!51dHwj+=dH3fdi7urH%vA%6D}TdCH?vvg}$!C$LCLjukmRn0C>~pCH(ONPVx0hP6nC>T!$t;7{5aJj|iu3_WId6@Pi2 z`0}Z61jWmHdfRf>$!G_9_X*!|R;0cBJT&W*?*!sC6xgE_2FL%=QHH0F*_NzUOKy2K z?gV5%k)!Z>SU;bQ)ZBYX{{8nGCZ>We*-TA0;m)b;jx8*-$2bfWUi8Ao1K;G*`E)Ap z|9;ENOv-XZFY8P?p-hDNAVh{HDWY3szA@cfRUC11W8dWI!;BU5CD3ZGbwif|+HGmx z8VUD0j1bhjljaB9m)iBoBDw3Vgpt=g?RLN*Wup6^)R0%~_dKW$#y=KQ6p`uPlR zZSi(#Y@wY{vtO?N^afIH@PZ>)mI``tt>WD_3@M5inPWcId2 zBk?SNanbJNV@{Yj8N3!qbo_fVIv#v&|U6M z?g0XvRG=vlVk`)M^Rkcj?u@5dC_n_7<7K~OwF=%!fBrQOk z`D)Lv!|5A7p3PK@RvmcvwvO7_thL|y^-toW29Jf(@gYJ1f1BrsM5Um)+8{`};F@qRFk6 zyWdhH$CHUofh%&0_0>%WillS$zjn6IURH|zDQeOf+UXb&u8nkf@G4!)WluC z%!Ew`-V!Rs7Ld@jx$~@EXq!tGk95)ocqgBw%wEnOO@{hhEI+(U&m5ZDFe)Ew@k1C% zwU;ETOI@BWr_>z8T-6tZlp@|Q*BpL!0k~tPyB}>pqMsnUTf{($m7o*yYC?m%?rTRL zQF7gu>RR);HVjd7ntCLB+;(H$&OD?jx2^95a*GZRI;oDpcAGY`;R!rXwP2nWGdufg zZg#Sgho?Sb{qf-+-mp5r|BvsaV|B7A<-oqS(RdU;d>(5fGryFMo0XWYYr2hcdudy5@) zOj8qHB}5rP|6iniWmFu^wl>5FE+IgI1=rxgCBcHbJA)4H5-bGwKyaG`cbDJ}!Gk-4 zyALiiU-O=O&bs%m`|tZP%wnLYyQ;f(?b`JSiPOtRPR64$mFMN$5SeWXrrt11;t+z} z?2hLc(VmHN7+Yg|c%`21aEp)Bs`ER%j+PXaGf7-Yu&mK_@N#~h6{bKC(Zm8#pt2vRyayNw8IoO9~>Wq1GL}4a$n;W z)UPg_la&wSYY(I}?|uJIVZfs7hfeM+`wdM$*T@U(2$5?Fv%5H;mVE%HLJAGc2B5^= z54%NhG)17qlMy8{?Q*+3wzr)YRQyPf9($`7o%x#S>GC`EVt|{CsIdHCd%@DWyVZDd zcu(#qaBnlqGGbf%;kU|VYX@t7?w~-RcR^aSHRFSSyAM$G4jVOA7g3b zLN0X_fl#aiH8^d~Jm+*<8ISe{SybJ=WTR+krm}UD;rvJYzvI&zi(gtL&j1THqdH>M zI&h5@{=f+5(?|lJ&m!sll(ItTW4e(7fAVe1i_M#G^Sfr?{6EMNWXc*u&rwpe8QiGh zF!{Kl;vo_%eeB!#x;HpEW8excRVXkbQBw;GkrLx;{k6qRbCic1(8;6x6`dEM3igXNQN@6?gKXb89@qu^Z1CN|QO-IiJGLSvSb;;-Z<@Z~4F@x8)Z2*uUZ zaKI{9W%cjtUEQ{>`Z_usn?5%!w4C|088n}7d75uEp^wVn2yX&D3f;$7*t4FGuo5i( zop*pJGN9#`?luoD(Mf2TL2j32Z3)bx_kja-f|Feu4GsP7ELO6F+WQSwvK|xnw!aol zOWmt;tE8Ll|bdpPnNal8f(ot1?u1x-@gW+U2WWh<(iG{>&{Uq38czN83_ z4v2w7$C(vXQ3-P(Pa& z1qpu&#BbXei6Fy=%}o6{UxaF?vV0sM5h)n93xA#vIi%Cn( z-U0B3=Y^SS{!3>2H*>pnPG@tls%ep%g8+u|<(6$yzu1uHbi+ehc~*=lWc(@L@W|=> zPXCnj@$Pm~F_5c@4tG0|91R_F=aUH{=esNu2)x1TA3$eq{tmzg$iMEFx3yXv4gk_{ z`;T<2r*4@^hQ29}nkqdJgfM`ll(o-~PRNo|Tx^|mSEf@N9vmE;DFXOUkW~D3G9Ku7 zl?+)W9A3>IHtY1S<(j%MQ2bbJsdv>B5h~vJims12wIdldx8bFFC~mQpHv{y3Ny5h< zXFh|w3^8FANQH{j>`OPZ=)j-wLE`46>dVRy5(5;&hKohvg<{%x$7yvs$K$A&OPht` zb{&Pr6{%L=<>Q8R zTNgUHE%FwTyU~LF&%Z?@Wr8d3`Uj%7-nBKsDaOBi!J)zv8!_0ZHtRlGAr>hOrcx9s z7`+T2RLD1XdVbtmgV!|JTkq?K+V7%cj*TlC`bkZTY{d)P_x13&kj`1n+F${x;Q)Jt z`FWwhRfRN($KUHE;kxp_T|rQhfU5ar(&E<=t3?8=@08|+zJrH0WTN@3eIXCqBmz-y zLR?vSwo!jK9Jv!-bT`QV>>f-Ixg*)E9rx5d&r23NDYFACD46vdG6Hun!3Z;tvqqPm_ldJ*sz`X42fRFDgG`E2r^6LlRZyoQ14dIfs)8+QR zYFjgs;I+>r)Oq(J1L(_`b3itzX)_-xL8m&2tOoKo$#_`0T*MK>o!Nf6L&|hyQp#aT zXwvDS%0?9n*31Oiw$9((4R1rIj%|&G;0Z$l#xJnyGurOAp63k}thNXAs%mWZng5^; z#(8+dIHUP>tC5>BL)qYqDJtnO#TFS)R2Zj~G_6Y}e1G5Nxe1BWxSSQ8=E>OEuw1%I z(9HhN3Y!)4?>Hd(L3J<8I?0!HK_2TO$CaM8uT-%!+t0;lPcLCiFWtp?*Cw1R`AP-v z+tWxq*Zkw-?{b~L;|RPNx_o;a4%^L&K=R;+8@0LG-;I-d!jJ9G^4)z!H?OOZqfFd~ zTCUxY65*?R=@2h2ujV6n!J19|Xx75jh*zyM_De}Ta!*!5*_o8%$M`bbS&l=9r+Fr( zi8gxtT7ry;NL+6_uEPZd;UR>DbLHs)F=@d9E7S>csv7TSG$`D-<1-C=PLd+?E$7BZ zh!vT0?OdO7#-t3y-~0euqr%1!!tY9nNjy7UWSE|MT{NqamuxQ)ie&w!Y>&++ z7dMtbGW5^a%(%>Z$NI4UejFS?r63SmmD*`=WqT<9sgqQ{8Gh_u2>shxbMq>N+fStE zYETfCPP7zkTIG}mjA00%m+?aZTS0N4)_R7+aZOzK{zNQKJ}t3wq|S76w$dc5Z(S~f zKLL>FY9ayj?wfqb8UXWhZz-?WpzH6KjNK;`hw7oLCTzg%#@nu0TawjS_8t>zzW;-F zYBrn|h5ZMwN?qVbb)S}%}iG+B%S+dlGp%gR03wLc6(nK@gttX_p%ydwzLfp*L#nz zuI>v9V_h8riHiP@Q}etMpjj{c6q@5F=JBLR*=V%Q>y-)48c`~MKm4cDUQ%2R6{Nqo z9AGNn0Cb$!0lRo(0Ndi#j8ODFdj;%AB5RcCrBn*4j;5rhrV5d5L4W^BQSu7pK|HYR zs--@UFn>jVp~_z7QXiv?kme-Tura?`n~I;p=iJ{ZoU}hOxs@uq^3@gOdfuj*TQXQNwJ8#8bt@C$dKXm8?!-kvrNO>PXjN` z4vcRLckAw$!%;b<(@r|qkCk=Q+e^gg)-L!M=o7#q-G37l>VL@CQ{Z`FJ%1eo^I+DY zNhSEBEBDmZXNeT}j$Iq9s%w$sEGtHIg5eI`onIh52GUYe@p+TxyH2#!z4_!iBRuuH zglelE0$TaB4I6=mL^r!UzTF~q%W3$1gR@YhQbt)DC2cP_5ys|uIJ51g7Ul-G{3 z_UW#Gfa`Mf%=qnt#XsM8y;ACGqYWL{NU4=e){&l?jqA8A5Jmc#uPe3dDh?XWE+ktV zS+B6%v@GI*{yJ1)DKC#5VHu%s!=HTs8`*oV5fAZtBY-iliP5#OB72Nv`gT^&tLBL3 z-ej;!DD}nV-+A}Sf=u82X#9XFgN3&OJA095M==V4wh=OPz$r zeo%~(deBWD=~vd3EWKqK)Uk3s1H;c86LPUKJU9_;pHvKECVbi4_SH%f!@WbenS%tV zfaA0;w{+g})Uumh67?P$j%|Aumi`KmFMg|ac_t%Mgr4Gaj*PEKVB~BAaT8j^{pBi) z5`loRfQ5$de^{uhs0OxK-aXh?e2^=6KU9^Zq109uR)|i^?)&Avxz)$`2WSMWhpSMi&9i=z!y3(}!ELt#n0#HZA`_QuZpp46)3#}(??RXb#h(b+V{ ze9sQSUbcGBA*!}7;eCD&E~9mA(935b5MMUJhYb>ZiPe0|^X!sx3dP1*@XVLf~JUTEEzjzRVBtJ0+(beluE6 z{yR>W^-hQhsxzaCXeAfw)U>-J;f%=~&{S-T5VyILD(O@q=Xton>y=|Zb|wQv9m{ye z{`$Ti>mC$Z(D}xrw1yA{PH4IJ*Owxtc%P|#*(E`N=E5J_lyImeEm935wB`C}c#N~k ziEZ9m*MyFoRl84dq~%9V>jnHW36X8C@*Iljo6&A+^j|20dnrD&J=}UKz!#s4G+#?e zYoU$BJU*F>6O&;yiB%1odUAENzFkIRMFk8ugxved_b+&dT%I>+RX1mn>$|b`cTe9H zi+qxn_)2`-lsu1Wh6F69PBSL#^X**4Mq7*W&H_-%ji$#`EBS1mEp!UH?7tE`8$?`A zHXwpS__or;8qO0(m6i7LnPz($uXs)ZIDMBnReP!2;W2Tkly+av_^qzWpESNo5aGQW zG1$KAxNpHA=WqtZCNZ@1Qf#yr zW|@>5hM5pLL!TowkDU;S!?ugC!;mjDjKA(a9p|y$C%zK#!a-6*n4l7C@?gsS%}zJ& z24gO@s%GK6llNK3-P!GJ?xuO6@jxfvf|sz+eESDaSf@F7CR1ykNf~vCl*ZR}_^DhP z=Zgpl3B}xon__I7z0fU28;VOQ=2N$F@l9^hSm+NavrKg(YV8J7+s983t=oKiGu)^9 z)?_=JCF%QHl$i0?(c6rA6p}fX^t~CH@WN5G$YSVCAf4|O^YYiG zQQ@|mtpMuAxSWZWE3iG*X@or@qIdW(;B7TghTH@-zE75BmQz~dN{sZbt7oXy&U{)} z#(1HB1{my)v2>F!>EF_?9(U(QMJ3Hew3#<*tEgtDTHok@XYY|*h;k|a;(oh>XRdkT zjuzNxu>8^(`@WRWMp5n31}duB=bAIoAt=Eu=vw1?`hy8xC8XS-E-OaYcGHo~HRFyG zLwgO2iaD1dc|rsZARf8mgrz3GkNzLHV1gLOg;EN=FT8%JmG*MgmW=PYCpiH+R8 zu2Vi-wl=?782%Xgo@w>MmYhz7T%K<(?OMjo#3ld|koF3rSHS#D@bwY$tVm*b-ARaK zX=!N$q{BjH{ibpD-s{9Rb5+j)C1_+6l6F5hjQmma;!{L*HDC9uHXmB+8{lW+Qv$gx zZ=1`pgfXe~ddLHti8f_o4v?Ff&?QtGyHY6%pYXrRS65ZzuJO9Zas_86ILvg-$%N4m zm{dm(n@NGbK3@z7t9|8d(n?wA9Ktmt-aUy`{HG@NHfNua@r5F!_e?Eb-xicekyo> z2h;g2^sOfk*XkJ2BE=E=Okx+|{h*iK{fA0XPV9TzWLJqvp4oed=Q*+m`kjJLEmeNs zCr1%$Gx_uniBse*iqc%L?_u}{YaXB(wVtS94tDE?!Pa*nW1$@@?=RW5XLq#+El4?| zJTxzriJhY}dYj5i_HI1SBIl8#9uX!*!g|prRf%5d=*m;EP18mB?Zf_`6^3lTY3j(jbf@0ZJ~OgJ979R$5;LS|~ZmV-0J_s>R&8E7LmKab*%UA^=9 zT*wOR(H;8CuA{@erf`rS;e<_m6vJ94d3tQ6%}C`$Xpc&FW1PoRmS__tUR z8!52rZ59>;K6lgWB;D!YKP!i!uX@?~5J zNmdb^hQmTN)U2b>S?R-T3FTz3dlz4L=M_T%%i<=SAR-6|?i)>4h6)$mM}~`bZ9hg0 zTqy~m9t0vcdryZ1%o*$97qamhC@*d%BFPjMn2TiLVN3kakt7_IR~jM*vY;koGG`Ps&-E#+Z?k$svQjB!tRrrA+se(x4;+zZNi-CGuQ;?iBQ_UZ zrVJfDNzxrpW4#aaI13Bj55V$qDLIRC6X&b^>`9Fakr>JP`X>{G{fAY49G|?<|D;YK z;s^H{67uB_&-z(}hOUs&WjpGfv={c;`+{)Wd22?Y{qR`9QbUn>yXngBd5>L}RsBgo zQ`^VQYK*0aUa5lT~Zp)z0inzQ!LPe{4l=C+4@x-^{9%-96;Cl+~h(_z{WR z_RXB&dtBeo5UepdAS)TD{`pX!Is9!sf9+CwTacZ%WcoCc;f_aP;oesFq+ukh@!U}B zeO2#BG=>RwoQy7K+O9V>lbNa6@&TNuO{{7>J~rVl%Uce0<{r*5@_R2Q6U)maPXiX< z=MCI1x;VL<6rbyy!>gV?^7c}{2ac(S$Y!8I=5I8HM$hy+76h#=utGvAHX})p@atUH zqp#LH_*IoE%5pPOnC^U2=~34@T0o*YnH z3e!X6vnp4(B7L4q#yj%Z4I#Nq2>^DK2u4)}p(&d~xD+unD>L|rlP(^`XVfy2Q*=fkBWC3c0f57}X$0sZTr=>I8|K{GFQ z>`IT{5rp}pVkKq7r3xw9P5O-oX3At+F}6~&c0{w_;~&@&)0kDgJT>||QJQRyU-1*% zQxJa6O~T?<-%>YS|0<%p<5|<7!mfgCwXq3$p$D3}`YA!<&YsLKI#(|F9>cZXbw|w0 z&$u8+Zq&)N>u-Fu4_~>v^Zb^Q_V3mFPjf4UAabvlS;LM|LuCA})c?4NSUCw)}9nGzEQ|=B&*G&Jen>DZ0H(z!O z=$%%NR_e*usqZYRSe z)&l3Lj8Z+G*e$|aj|JBC9d-5v8p~O^ql!>dK6g+1jYpR47Zl0-oDHCRcdQ|q){5xt z{yyGvWO`Xk=l*%~dRcYs2F-M@zr%dYRD4)UQ*RFOayvZ3AoA7>CzmLgYbqiydildU zx1+!cs-&5qL8c6>Kq4D|5V=3|M7>7jaC)E%zpYx-k7v1mgdzx#o_I!sEEj-uU_nwX zZ^Bcnnq%7nf5Fx7u4zxBZQW8vyV}X<_XBXTL&p&^OqYi(@i?Lf=n`Y5b>YYx4gv*a z_50cuPiUGHiUfqP(lg;Po4|*e$v!PZwzs-Ws*zY68an?aqy$JX*(q+hj;rn(AckpD zzB2j^Wg;#S?iD8Aocb;v4d($BvJ+}5rjTTD%1^LfZoF7tjSx)t_5{agnv}6W%~SU_&u3o6cx*T*H7PKJ`8okxQ!ijg@zY%AWy9(Rh5RZp5W5gyCUK+ZIy zMj?sjY%i&?MWvkr;|wQT!0X|ta#ETqx27ft1I80~KBl_z3I6X>fcRtym=K^au zb5aleM1a*-fbc*E>IEnotonU?Gk(EuJ}a*C7`DYU#_S`{B32%LpOvwy2<1M>clIb# zr|yWWPMRpx6>(oQ$u5@30y(N~uKfZhWjK89W6T0eFW1>TV&%L)-fmnLKTq=JZ+ z>Po;X3jhXj+(LNAb9J_=AqtY|PDq?+zgJjqlD2H#70%y!QAiB7w;ANgDX1N6`0=2Si9!*&3E4#I?p07Ml=wklruwJzT59{rW z!OZ*viOUGgYx}uA>Jej+L1N+N&||)F#nVvP)oQ! zSc6^`y#hX0ggy|n-XDJG?AUqd#~;fIq&t+{<=~apV}y{&TwX$&SKRj~NXWaP5?O^!|nh6w8Z52;a~nYrJrbbb;=cWc?yyg+I8)^_!M;0h*oG zNwz=1CR-c5kk%`l3kVl3usd?z!g^k_OS;RD(FVQcB^}NPASuMjI$D1}S#CR|b-7Ir z5BR|<5UojWkiHIxop`N@TnR?Ra(i6OVc(Wo9CXZoE6l;#upS;rho~Hwj!pxews~Y( zXua-FOm?(ORFf@bL1+)Z(`V+6DpT-8Wd?*nnmjbq^N)ODJv6u684&k3uWEQ)$Cv+h z+_Cz_pAum&-_svrrl5ERE_8Zd@AbVIgx|pEc5Mz8_h)HdZf?HgL8drMzrNr_R`u z6ezDN=?1>GFB#FXpNgv$-!O{;VrUO>aaAG^i8@!SV5`MUsI@^(L(tq$FVtt!SPhy|KY zIs87*9vrMID>bXtt(>nepHbD(6wMnMrjy-`W{JyF7g%L+4Sf>(3yfaJh*b zN3koL7nqRqHs=0Jx$>fISJPZ-CYYHf6{FW)KUam9+!PlY(-ZB%h+_0zORTl?Kb!!s zBJ|)ufmq_9S(c%Qx!bD#vP3r}tcY<|zi#MG)6{RKs0b~Z`M+8s{&RNll#nE)a%i=R zb8{u^;}!a}$p{~piBQr^f8ZMv6ee*BNg?}RNs5M^pwUr8;{()ttC-Hbv~5SWZ~d&n z2{#o7LC`;ftYNCEU*#<43##&s%LLL&#}!=FDz{#N(=`*V zGpIZ7&G>qy>^3q*aE_90vMF=elwCjn^E>X8M8!Xk_e*!2BZ*owMFg08n$llP%N?E| z8W21jBygC@BRamFgfUx(`H8ESga2ys6Pi|EXl}aW1?50*yb^m^{KrC8lMFG1 z4B4N&&e}i%`Xo2yRR#>$0NG5~pOm5jo>AaB*Gufv2O_hvc50V4UC-A0%DW8ro;Uiv zN%wlNNdEFC$KYbomr%s_UI*=Vcj{f>tUI7VqIX#hQ~r=}WvKJ%Qz1mPt+_&zR9*FE zfRs>4i|mi$chQ&L&&gV^Vu~vTysmzy`JLGi7&uUmlrG3xp*5UO!<1?d>&3&f9D1iB za-M$2;ag*Jfn|Sg_3v8pN{pTBlebvC`HV*oQ~kbato}0AZ#bK1u9En;RaT;TIAn!txHQdN$7^Um$mB@IZ_G?0<&zWBaJjei_aH@%|kP zJTnj2^Vo|1X=kK)>CD8cz+A^_wA^27Bp zP!4TO!DQOou|Z{boaO~=K#TI6PNb_DN)vN|Jh4cJ+ntWSk4&j60=q?lKSOeYW7MwV zbN_(2)xIB$y-Fo6;il?tqTP;MyTN2l<-8o&MMJnR<=>oZ3io`rFYP_5sDvIk5`mvK zO-N4pzP`ay268$!CE>dG>=EI>=Mh^ren}jDcv$5DXQjs~_!7qV{jNK0VO0WtO_DYLgm zGQen$G+Kc5+=Z^&E;b63*JjnM=nBD;RDx4rN5AlL&A_tY|eab?tT2$}&`z z?1g~p3@ZNJOZ+>xIfEb^F-2K@;#7%jb0-?00QT90u17sZ;PB1vlHwCPS(Pm_(_D)F z0dID>>>0o6IY+KsFfGc5yjXMHz81#`0OJR=a+#@k>7of=LYcmlA+N@Klpmr~s$oT| zuEHsuiT(Li$_tJEP~UwMV$WRixj|!#bdfG5GyMYsh?6Hwnmi73 z+t}L(VILfbhzZ$fYgJsENGlf#ZnWN(ox)RVqOnYbVp^pSe}1N&iSu9sSB+tGrd=mn zHkUj6dz3s~tX%0*zR5qHqM=Jv)*1ja>2c`*0E}W>gR*Q4mfG(noRJF_%hO|$Ocjp~ ze#3LXsr2D-H@`cM#MM3(#z*?Nj^Ar5mDYF2tU6|cb@+gS$t>^0KPoe z;pTBUNfT)kSN2a^k4aC3{r>#TmWt8+!|UU^XSv^^YAUY~l9ZL(U>n4Xyf^u?2-5UA zZ6xXo%$lGhBe4l!wD|@?eXznQA0GZ$*u01U4FFo>EJPT9p=3dEao09%6HvXC>RvwQgosUla^a!MZSs!bO;;Cgw{Z<hmBRi$3Tgow zlXHXb&tAfW1sgYd>UgA5mZ>kUQgl@L-xqS#2?w=c*D%C(i~stIXDkwu_yKDvGM1xB z3I7#3np>@dy9jb#N-s6?)+Kd*QR4U#1o}*kMCT3K&-^44JK0Fao&p)*M>!=K0dCkT{vChzfE2px1AL)6*0|dQUqiF z^Urs;(OMgs)J)FpY#4j{`&ayFYK+a}~B=ePaGZc<+C-M+;N`Ml_!#6)!p)h~;zJGSE$X|vE3Qru(pWZee1|3M< zA2~_1Hnq?}m&z~`wr6aE_n~tRQN+}46mAk4D1`rvumARABZ&H63-Om%)pxcmLIW{qEd?k%4Xbu_tegOueIlx61@?l&4~? zeg2&DZG*AbH=pM%-hv@08=ROSut@QHX zFROcpit7KoD4Bl;h=2d5xPesFf1`5$>ziVM?BPF=^xw^TY^QTOm%QjNoX2zGQ*^WZ zFT~L!X6PRP&p%Jp%P|pYjV*wP55RI>VTHg*!vUt=|3c;b162CYVSzi4|GO*yKd<_q zsPpe;Jhsr&xZfRM!W-x4D8;iSgWLT9{yaFL2|1325|3F9-gfK`sOLVTu+o0!>GFy;8is=Dftf7GFb+>2oPnW0E}MQ zROIPhkYCVa;mf)LUn3fcBgr2Ks`D=l07+Cv4!cW%Udrx*=LH)7UU0dk1+7tfqEH3% zNCWZvY+#b-;|weNy5duQt-P;Sxj;H z4){|EXWwKuq6=q!Q5*I|-V;R9DmAb06Ha*6H8e;i%?>1qmxRjCqGfYMx~T0$}TylX67!AQi$V#*$eY zT$#k0;r9$?9@Vw&x&_F(Uxv#)10f4iXb)Lb@gB)o~xqvdN(WFUmYfzlW8?l%zc7FEB zXJYKWmrWL)E35UPy>Uof^}#o%hltf&9?c&L#GcVgp)FMXG8E$QoJ2AH30b12RQJx2 z@zl)KVSTFin-Kdrx!k*W*Js(yl`i^ZS$Ns8pc*5$2X1HMH3odnxP`BQM4ORn=;kv* zE{b#w&c*`W5Sr3`z8Kk;V@WCVe}%F*o=O;EN%}-n0p2T2a7v=mH)twEu~4I&RA;g{ z98e%zz<2Kt&dM7K_&H*Mvt^~6oz}9`=FCmoa80mn(iI!XBhEAzhthtin@M{xezJ)^ z$BAh81aCJSb`&z_wb0gTN*WgE?MI0+^!G9ol5!r2k1M+IO_V6k-r_yakMiu~j0SY6 zmt!%{a(K+&f4Bn!&RB~a=L$m```UvElLERkmH0pk^!=9CD`jpB!C6n_%57scs6&9! zw-au@^P91o?cG1!W0^ZQIEh5h7hyVEsm1j~SabR;OB9O_}VEG?8ei zE%VRIYV$;$nteCmxxr;J8q_H|cQ0oS{KGI&6QGmc^6jlrO)Kc`^rmg~mh^5Sr1bIyH#s;-!i4z{dKfXeH z_#k}r);GI!!=e)#n$1Msd27h~=|e$Q6qcI}m{Ot23YF7YzeffQj`&fg*7}Xb0sgyO z4@$IzwoIu}M%si&AkG|EgD!mkpky{kwzq_uEs~-jlNu$f0x~1ZA+D4`&1HXNZ)(T-OyEOcKL}R zcN{8xdi+ix#ACcTz45-m`W#9@lQH|PNRr~_MINqbB`Z=beve98l1H$v7iKVst3Jrn zYwpDXH#*8NiLA0ealLHbOWX#tJ>rjsAt|>wJsemi6YRrilb;S;*cO2arNMO1)yTz& z*5H#eiIE7&E1sfSe%4c9=Ajheti_FdpWI)sJgHJa8fknxX7eD&#}^9BF|ir3^WQ|D z;gy3@9r5p0e-dPAS)JjHDp{7(;Txj0tCn7EY~BN_-zKZ_U@~#`g?F_WocbXkAsps) zW#(+>$+{g#CbuOR9X3|&cO6l2NdwKryoLvTfQgYkDLpKax{wYipkce0o%!b$Y}jFFN)i1BOx9N~)?|fVEa%zVHPD zfZOc{?1g&PdLmMI?8%VY5D&+XmR!Xer654FF5r$Li0H-m?h6d6;4B~_6`herUy&pAqdBzQ3rVPw&x`F}+E3K)Tfs4@0*2BCZHscC3% z0Lnhg9_yIG7ln$a0G4^}>dp%<0SUG}+IM^f>m{}~mD8YoRD=;99sQ+bc_JK-S`L62qbewq~Ra!&ES0R~m*urCqWD9y*`8pS-& zRWs^C^+^22)-W|IKK)oPseIzfdGpm%J^#D}02Oe9W&aTvT~x|fwJ_VpMtG=kjR_!| zxBh?^uJWyi!&~4U_-nR4B0h;O#Vk7Yy?d9I0=;c>gF7>@7@=1emhU+HeDI z?O&$eGcjdXR#xUKfWgotNr3$$r1LnjOw4M&pz|dv(l#MiSoCEc^o+E=qiZL%xnlWBU1sr#Z@>dDf&xy=b$-G z&FanWIW4HNZDQUDFIYM0_~bGSI7@1-3WLkTQ{XTPGQThT&WFS`^*+&B=j<*m6i|vw z%71qY)dTALVLIFhAvxeYYGL7(h$Sh|Z#Qh#&jj^j!aNSqq~Ks5{_?HE{;4^n%3+7V$m9GZ{*qBL z+ods9{Jv0lLB2XdX(xZ@iw{}W{0DG3$TSq^@YW~zkl|Yf^wSK_2LI1bKoTCwl{fcE z@X|8)kX^Kc{MUZh74$dIsKzPWgL`hHa|YB9zhJPW6S<1WKM6cW!sYyu_KnxaEJbbR zTTMBt^t+$HCP4tM2&N5V!dgl72X z05DQ~?KztXU!?ifKlhE}#%`KJ-!RJ91vjScYYzv3`g>9J2fj$VmB%MoUJ&j*U1jRT zzJ=4`c7z2qo{MuBCpgyj+%&wVm8{qmq+qfa1Mm%kV}6Yr$aBgtUieO*iLa@b)ID_~ ziUpJ{xU)WM*vYDu0r=GIOs{Cbde2}JAUVA^8ovY~M0O z-ertTvrD~pxIzzrOg}% z(sa4uXqDOEED!)2%bWpsyegMnl}B3U_%0VPlDN3Jaq zqU-`>N+g#i)roV5eLv|lNhE=m(HE_WP4t>EtK!q8a?|z!=3L$FD)>Cyx^>7rXl{4L zd{LhPJ>ECd{R5Bk&DPV*fHcVS_9;!nVE`z64fwo{ZVjh-u7%OfHhXe%T8!iX_hoyO z*uHtpITDc1446<5h^ijpj}XHa!cQ9P0kp`%@@)OW&H*OLqdGYOi{2j~>hb|oL<1mG z>J0Y`BGM^(`OFT*M!;6{1jRQTe9LhNtR0@<=i(&oe-mC%uYFd2{1*R>E<^WEWqck3 zs5__4)e81vVA&O!^qa7I0;(l<=_eH8b}1eXUajL6O+^H2FdyRQnm~pxdcc_*{&B^k zeMI#GG*g-3C;6Q=aWucgS?AJ=wCq?CNxTM z$83Plw0P4|*WnEw);6km6Fkz`1yoNS(B+9294k2%2h^fNaR)(#ovXZWnryja%e>gf zF=uU1)?G5f%20MJA!Eg@U^h_QfNBkpgX5ikc4!#sG8RcKE4yQh$&Jav>Fk!5g<<>q zsi-uj$G5)eiZn`<#_tKpn*>$*0pBaQEO2t;7Y^=a#~^<{{6l#PEnJqszQrzBxgx8GtRykjJLG-f z>~o2Wv1u0^n%qH$2G*ybpR?@pOt!-_sw%g`-XZjXICtX8q=Dc1jEQXVle{AbU9nc) zk-!NncXsh#BRHWHM=Fdt0__2lMGiBv+6DfhD|RI)(vhS0(1vi7AM56@hxHle zH>`h&yVXHDm@bTeeUD$vjT#}5=Scv1S73!)r1Q1xGa#pt-2l@SUuQ+8P1TXBM5N&p z2u0@ghhhPp3z{QWFQ&$W^T#?ISA87I?v5LsSiJE$KQ~7rspEV6!i2C{8v)j|cY#EV zYPErD<4L;*x1^-8BA`_LudgBd6ZlE+pG~muz|A!&(h2Una~1749-kk-d&tO(>HwvD z&;R45$WiM*y`qTP2Y;HQ{F?RoGV8iCBzjmS?f3++Jh0R%2a4-|$kkm}FZ8Qjmjw3f zN_k1>vMs^f_2~;g3Z6+3%X8HkN>kQyu%4n(xS9U?xiX_wigIbAj8AR=b=6|7W*;xL zvE!=;unFI#e8lw!=W>R7y`M36hngqL+kp9EEbk>|8_jLzEprRk`Pce$Z!i^JB7f~s zk#;;4shr=swAnYXzI=~Soq1aq@de1qPB#RA?<0;MPQe0-A(R-|5hG=7f5}>%0T97E z3Hn>sRQ@t5TS?ekAelW7c%A0@f^76P{lMjiI@`JcRQ!9Azh{K=EYzyRV9T~RhXd4i zm|u;9!RSje1^dS1yGFiG@kKG{-vF(iwNBLtA4LcWF0&fHHO8NcD$>AO1{HYT2|p0QBiBTkK#(P~_vEp5E5RxBj8_rIHg~2u^^pYQYZ&#ts2_T?bv;A^O7h zQtiSMEXYPi4@VtD1%;rrc?Q3t<#LKq$-#{I6{uzo=in#B+pYCW0;^_U+H3Ser!SWt zKK#}qGxF-El=TN7t~sK;9EP{%61tq~WaM`@5d{ujjyk1H%Y2_FN%NGt)GDoBYnP{K z$VO2!1`!z%2arxmd@I?tF^Obt=QTuLzYp?qWmb2*(k(0O@p9Dz+RTAZ9KJR*&n`Am zP#A>OJWoYSHb<3piZc%x;qYlf{&bYQZMmQ2HfY`dCAZJB?(FR^3UZUN$W6d*riV3bb zU2>#;X8YZ^Mni}7 zXS>&%v2N=(SMN{s0((@r{@|jqpO<3SIq$+^DjTzFEp%hMdVJ7FSK8ykh4>Q(g<1E} zpS5knv?hP?z5jvp)YhaTpuG9|+2BIzm%1Apwsa}}Z z?!_QaI%8f?xaRD`y?u(x9#^_=vz=u@Zthc%ZJ}E@*aacX?4QgU7ZT1a`r^PBP5sud zK`}+5xR*mbUlOQuE#(%`@ak{l9p0KiI3!MuY83{>)SCK0g%YZ=QpE3l1_Vc5)wvyz z_y8+%CVrjYD=B_sDWO+35EZS?Gb2Y`U!>Bu4ECIy4{Tku z0I{hN?6735IF=G=F=xFqR)dBXLH1GkOU!o{UIOF#&lTFVDmxEvTkKzPg+D<1vedV@ zG$?|zZXH68TW<8q0d}vh;DE%a(7>(H9T};jdUye2BeweK`TUU+iCDXje+e#=WKgeE zAcVyyR}%i^~7Mg!@btqzAVZ%%5OeV;G+2s zc^5?F&m9t=cQ=m!_*=-S*|;n|aAodi0#yeo8B;3q+AFlcB-K)?@VuM4l!DVpwf#B{IAh^3G?B@H9NM7E@j{Z$3)^ z_b$EXJ%ny zcCw5^3ejVotGx|X>cCX{WAAv07ZoO=ZdQY~-w}#}~ZSnmaLM&C$W>B-TL9<~Y z=K6UxxZrgG`ZQAncBX;buG#GKQtpMup`iwy7oCeyPxV;6s0O7Ku6hu!mu2_I{TOg+ zfo<`UL%na)vZMMHki${xJK!yDPJG+DUGj<;7x+kI?y`)wacmAi3Myb*NgF+kg&e6Q zG*6x^lyu-Xk#FWB6a4Lb=2obmyse|3kyKMg^U?u2tXr2-nx7#0?|9(rPzG9XGI2J6Ef4Qq^pM zlEu54@%T|Q>df8Z!*82Y1b?XqT(;_#J}r?1fa_PR*HlRqE0Yd{X=E<~n@S zy42XE&ey`EHId{0*=V(zHF|hXisBM}Y0d3pR%U{w`?aix*Sai6D!(k{fQ`!Twfk*$ zzY0#VvMz8pR-NCuLZ9~;@)Q$4FLAS&P;Y**`@Sv#?|Zstnc@mJe;!5C8ay z?pNNoyEQ_9!~q&-sVZ99BE4{@N%jmad5?UCAh(K{8K}#CWk{vSeTm$g zs92u!;L6I3FDToQ+aA7`J?!<5;5|tP57UmH8eC5WJ`u(Xy3anX zfoH@o`hu{_+;Nl28+kDHdUL(9vvMNApGh1@XA zUqWC-t;K>82Jhr$i+N#8Fln*>GRB=6gF=hZ#Z@4y<9OhSJ$p{H-geKqNb!1?e<`~D z`#%dy?;ib*Xw>s+i+7O=qVNulOi8zgy_aU(KGG>ZeliC1a=4P?fav*$&bDUL>xMz! z9%z<*Z1CkHFS6s|r_0uMvh7B0qNS#p-We2qzI$&pNUQl~Qg`D9Of!iqMP3dcO4f?7 zNpa8FA3=CBD7`tY`-P+Td$!ifba>VWrbf7b|4?ZM{v)UNB$rC3XpRA1?Fqth)f$+R zuxVC>UcAN^Kq7?E#b~ap{UVC}SWVhv6NYcZ(DC*fd_+8$N!GzZNrSE&LuEwLxn?o` zSq|1!Kd56rRS&yLh{Za5tQzREc6Eai$JhLO=h`1>oF2O8Qwn5nde8CBP+eouK$Aa^;KS7-B{9#%6O<3}B z*}~GRccz%I1+uXP423;C3~4c+d2I{NKglJ3INdT<|MORbN8dKj4T#3#ZaiXDZjAA* zHmNdg2M>^6L*8xPE-}@uLC<7}KEC?Antz8#!N6T`Qnv-eRmj_LRMf=Y>LW^wEUv?GVpg41fJ*YCfr z7TU-G@9}Uu0})a-za!7!s@ny{n8MGJdgWA7d8XdoUqZ}P=oH-@sPIP8ce{$n^{F=7 z^Od`ofArJk@c#pHdNG)yI4!fN#d^?Ck~0RIAgrv`S-cGebhKi@nmNdQou==S%4@Q# z*h((jNiMrHP0nTIXV30fT?D##)*BGeSt|F6$E8T3Cre2F0r4GT{i1OM z_E_lc=eFs1Gq6gnY0{X^q#6CFtA$u3Y$4zD+;$~2Q||+~0~HIXV`xC<|F*LuDKbm+ zf*Sq#j^!K+7#nk&mehzrYI4~TW~%;tmCH4h?PiUo*nV|2%|^f7%x3Q#Jw^KGqK@Ml zhSD(Sk3TJ0Z#OFT(cjma;U~9ql1sJ5TL?#a0H_;;UTMva9d%V`d${>&Zhp>;tBM0n z6_LEjR@s5vc0dIOrTwVSnNeJ|gYPuL>I9*zEKH~INJs)u9w|OX5IfYul){cN>#uIR zSeA4f57o7M z<7atz-+tT2@8jD;=dI}dk=r+cY1o7SaRky3Vh_EYk&8&B=#p6_`~5B_myesVP$;- zUp6<;Hp8gw;ZGvqXsi8h&jH2PPtRug9aTi974(o4Df)GZ;hJe6(PY`i)@-$cH?icn z->d9q_W>VApNhWp>6VqNIp!|TDgQ>t@Br6#h@T$-1eD)$hNXDCIwwcRgYp^IVS9A$ z6>vd81Vpx4o@*hRx2`IO%F}|~QMuK}%i5Y98rbVGW?Fw3{mBQEfQa1jNh;T_B_{lV z5a!*2TRdxbEX5?R3|K31PWxs~yH?f611%1p%Ma-1$IK4H-1_Xn?0Z73_V>{rVkaa zNq%sX^p!u}9TJQE`C*m`&N%-p)uuuhx_M5EkGy?7%! zwN%_^uevBFS#iXP)*Bv~*yL>eeVo#QIxIf-Lw=FE?e-satkC6kIA1h@}^E)3zbc`d7)OAX(5p=WC(OvSOG*^ep3u9fAbtY zOg|tPEx~(DCp<(N*)0RgGiz<1l9OKZOKpd$QM_s`lPs_I1D zOJ{gL9qWOMrNTOIf?Pu6*DoOP&vz-$;njbgeybjF?D*sR$6um~l6n0@EGhmTdWq@U zncpr%GUf@0k@@Bf(-_&dikj;(k(dQ6wrlv}UMh`x*OrCxF{e_+r9~ay!W1C`G2lu3 z-2kZ4kvZKCObrRa9NKCaFs4p)I-KA0a7S<_j@U_*03OXF)cW0~&0oQxv;cavM4-GpW!3CSOHI=B z{)%|`H>Zr{8~-xn`0S5bGaJ8XYwa()B|>H|J?+6}4kSymtCR}2Bq2z$TG3n9n_6x- zV#xCJlnb0FS~U7*WIMG=pKTj36j;t>0R>5i9XE^ubTjzyvRUlWjs@5+hKp{|4%e_U zgr^^pN8ehOq{k0m6I3G;dwLEs2!)f!r&EDtbl&KwpXIJwUQ749Ag%=@w`RVf%!IGgMgY9MFh|u2*tPKB5q+?Ui4z}7@IKV z@&hxgrZqCz4sduaV3_f}Jz@&~1M6Js)lIga)u))?=ZmZ|uF>YxSN9?-eo9RIzL*&x zAkf{29MQ;St{Zl&Zd2}8`wq)YLRHnZblLAG?$U@XVNO63qfWYp3qNX1WeD|vikbS! z15-v#0*sM7`+x6Dx_i=UZI_RMoD{8M`{aIO*`8iZy^=o`@cbB1*=dS1eeJX70O2fI zZ{hddhXDmc?>0mRtwRaMaC!jiVjnq>B5vO{H<~8UJszVs2(=w_(JP0kEr+G~*wy#v zd(Bpz)-D4uX(v3(bs)#RqbbiOjoLaL>vbe;IDn4$p+cMRF>!ceK9t3+nR5w znr}tck2IxrJd#k0Yk-Ol7Jo=LY@st3R)la23Mb3m%WAYKODzk$tLPDldBnLlQy+CB z01%TO7Hu&qb@5FPa$>^*GgRriF7JL?REpLdc<8nN8^75mqW32Gp_n`&EEf9#H7151 zE~922SY7XVTAh%{2WoV{^f2T> zvw*cI=#K8n3!L+2t^XhnN#3wtnjbSGw`_H28I65*ao(gu0skLW>@dI$u~NI$HuL2o zLbM2=7yum*RcR7vG!CQhJYWZ504P#p}KkozN?xOuFm?t-mtv75#Eg?@zL$V6T^G)UZvMD2|wS7>qJkrgI z(N_Avv?bnl<8XZ$es1_}0kNT>;aEERk2f_*&WQs-xswHb=UqVBd%x@X%zUOucJ13v z95G;5U#ZuKShI-Kqp5B9)?gb3dTqefgz@Hj0N8eH=Xh^?o#ldgYwYtlZ;S!t1zZoH zY&Zf~lnwzO&uB+u91xj_qdIJeKeXFFZF;s*uC)5PoRC4v2O50P^F{GyV?lyQcFT>#-$R3fl?8SMW6`9^eO|2?kDrs(EWmS!kY= z_gm`Z`6~aob3qrk8y@KEGZsVEcf(ZawE(CL*w71 z2gWf7jzJvsvATp_c7v(ANY`c5_SVp{jy{_tmt}?FmthktToDhXBf!rPzkXPsD|0!C z(1h%;y?aCjRA&d!x0@EuybSvl%!^Qnb6Ga*pGn3q(Om4pPRRJO%!Xh+iZflUb-~u3 zHTh^=HPQD#+ZTX$9Sgf5fDUiFv5ERmn`99TSiMgs^TODq;G&t|DXq*n7E&4;_`0Jl{f?*-f9RW^f-;ISHxu3%@ql*OV9m+TqkvC;8JP3%Dg&Xa%7ba4Vi>}fG0fv?9C<;}g zEpZtBr#6g2#>R|^0cnY(V_C3YbCpV6BCrLa*(k6%Ri@p!d#s1R_~6C$Ta1uDN9%Cp zi!nPkNiCF!T358&B*ME3V=tC~F|U6Ocq_Kk=1T*c6|gsbS1Hd>DThrfKL0elx6~f0 zMsy9>h8F&?%^bL~5{sJufJKHiOT?~d-h8Kcpem5;$u+1oh5ej9F@QTW@U7%Fjo`R@ z_DSADj9@ery&M{1CAB7r%?~pYx3~)* z^Lp64&b;2vRZ?r4P(?>#*fLe>Dp`blwdQe66rOo2xHlZH?@GX zH3PgPM`%tqov{{MJ>*VMjov>}oBOdzG%jwPx5Co06Hk$qkUVU)lqmC`43%#nYS^DG9pq}2x)4i}*WZN`LFPZ-tDI#IPFpUj znVcJ;3s`z#OdoTeIh#!->WKGRwzRtPIb1DnPCD(<_u5$o-xQ_; zNN1S4@+&C!2Ii0M6?| zB9pH`U-&Oh-2@2aSd!*J85+V%%Z^6%Kf@t2Mt(8irVFD{Z`;kMwPF*~%5$bWB!gH= zarl}15jLy_YAq|^;5ro(%{dH*c~+8+zd;Up+M2wMyzJnJjh-||NYpQvJ_eQRkcVes z2-dj~Nvit(b;z{Ja}-={RRTZ#CHem;c$O{4{0ck3l^fJuoSuLmkE?WYE+!{F(bgP?1TzupKm?b25CaP8j3Tdpbm3+=1{?q~rR)A~NuTeQMaBWI4|LaPtzVC>uk?TX#0BvHS>8f%6r8Nmdy6>AD^>3*J*NRX3Ap=D_{xq>1 z_l4LF^V?3jlqb^i8V|ur8dI&_$`U*#bUsS}cQXbaIKju#;*4EpMTbvbH}nZbnYuGi zvlO(;WPm(y(~C?aL@nSaSk= zKK-B)?Qg2`ceMX_!e`yJU$xOw&+aSODSrhu`?mwThA!`Yq0pajD2KKYtKm3JcPy}? zJG&tzuZ;(>NK$U<)ONBjCdb^k{TdEjze$R{N?MJLb=1TZsT)2`U)X12ml9KVcXz+s z|N0djeM+gEnU&=yr4LF=OIDycJUBSuZmVl;%@9ZBFDg+|SH}{xx3xXwv~$k_WUF&4 zYP#C?_f_b)%2{R1&ga9vzc{bk1^%7D{2s+uUf{B}bm{;6A0+|N!9QLiUV(?&YlzXa zrhqkDg$ah1WG`1{6j*HuhYWW0gFy1}Q?|5b<%g3U_shg^V%wU+$w3p^X6C@S*D8I* z6|Tz_2LmB%0y`^<3lBsYUY@2 z9H#uJ-@d}^`?@K{>ZCU!ss5h*lu3Ps5re_CO(e^Nj?r1Bpv^uA_@he$CCvU4 z3d;|WQX?+tkN6+nD`dZPHrdqYJeke4w$|4!p5!}fU4_GKF>3`|%+7>x>X%AWeli&fPamWKABT>hn)8FBcc)>FPHO z=M5xX;*QDOB=>9;H?+cqjLC;UNlb}h9oB}<3a>bRm}^M;RzP`0L2dCC)iR!+3z~Mv zP;VcST~#b(@RqLQ#t!K&E>CzH`NpR@GQ-58VY~Dv4sn$IOvm)TUrCas9HC9r&QSk` z+gN>=ZiOuAI)!dL)PDL(Vd??Xa!3$_klfY#tCML z5K0!T*1W|JYGQ8#aMLpLJV}#%Y3U2&Ql>+|e2{Wj;)N54jt2ZLFq}TPG5mJs*LPlI+MXKJ>ZP}d^W*4cEHSNa-Rh1T7f10JvOF3%e)THFuK1h(0+e;=^# zJZzXsbF#4ARJ#h=MTWNSj%)k4jSmT*pLKEgkySlL8tXm~Kf{^yeuo1>CcrSf zuNR&Sxkul*Q<4q;MAqhP%&FPDc@_SdG8%&gq;NGxYu|bpr|sKB03PN%UR1?Hyllr( zwu}}10t}^Rt?mnMZh8|xx6;-EpvsKCUylCVI~u(80aHuSKV{=-H|1z9Dwo_ksnd@! zMk~h$b@WTai+Rsv=R8h%nEcraZbPfiChv^1*@-rd{`pPC(S>LDgjxYq*|FLA-HMh8 zQU7!?UOi+dg6lX7Mx|D5w>_BQyj7!ZPu(IfN3#qIglRh{k^;1Clltt1*j8Ev$iN`eW>|6}Jt87=9FAwQ25+daH;m-in} z`{F-HIoufQ3o6+Mq@}6(_E`l#H%iHca-(56xH!1t&0a8SH&2TEjFDs)w{-i%+RiH# z*f}rfPx1sR%eN~GQqgO7fbI;Ph9abH7Stb;Yc;P;t1nt-jmoBO(tw@G;&g5DS{i?> z>vvAz)GC@(?&~mtPG9%1d^wL-oC~O*M1T5uq)&>(&_hLsOshy^6FL^(!eTq~KX5=1 z+@hgjQKCG<<>1o_sUtW9-N}~+Jm79K^1BmCb+-UVNBP*^2}X+NfkMlKxOK{uQ;Nz^_b3mpgQ(h#UheH zx$w=&68}2kdy}7Qe^?$<^EkuRLc*Oa- zcN)HNe&(e6!azflHkKWuIeUelkI&REpi2-Xq0{c=2V9rOi}e79iim_%R#mn8=41uV zax&WdNo57LF^C!Qz-kw5q)s=U3o`$~3b@{M`;9#vdv*Bag$hIg&7!yIr|U*;s{Y7A(~#-I6Gvqvn( zn;Mv0B$2pw=32(>=M$|O*JT!!BCY>eS5qp!Uo%wNXBki_JQjG>Z7&B7f(XDuc4v4W zhcSlkR?eCh3g}T`Fb|n4?b^GveMSy|WAGefd3>K$aBh-bmRtAk7$1z|PpCP40JN8# zNrsAgtX)dO_?X-rG0jR5OSXk>rr`mCWc47tcm14s%P)ddF={nV{~AJnqc32_dQ*-k z#{&JdF)>iE>f7YwI6ubtNOKy+U5O$bVtN#N%~CYSU%%Mtu@YI=wd18%@Om0BHsDuj z)B63eIH-pwc0mnj!5GLBR#n<`VS3?9rt|axdm5jyi?-FEwbh_uv2F}qaeqyd4^J#& ze_XuJsMDmQQ2Z1vIwL9(`7)o{(5tf}hXY6YOg`L4X0TcGne-fPg?c zFhDXXbd79uekVD1-m-(rgo|XIyX0 zvn}BgZqrO}3tAM5t_2NKG}?$%{mH-a#l9esJ7;+jH?k;6;?6Wcpj}I%ao^&IBH^B1 zf5DT~UC4U}l7cavb)m~BTfz$n_@3FQUyveZN9@$cL9HvmeLmb4UC6Y%M{Dx?` zed*m#KM{Se3He#pKa!#VDz=j{Q12f7359ESei&MND*?(cLKVK-4**I@7Ix2 zL}2b{0cUu~LgNeGuKz&i<)K`KFGuY|D-TZ|3%)B9)Y&Y5VD zgxO4#O63UI=U9lL68(~Yk1S@S&kejRCo+l@NxZ{R+lDN4ezfDScZ*&4uyow>XP_^a`HrBt?+Vwc*DTQN!((~ANd6} zBM2+1Yv1j!p=A>B7kHfnL)rf0sM7CLq)MgA&gU$`CwLp~0#NWHZ&+)<{bUO*=oebh zLw}_wF)FB)CdiKkUD$(!y}@8$L&xqH3OKwZZ7;7 zu%$QA+TtIW$$6-x9x$J@5)R~Q1T_%!+9H_Dx^3FaM*1&duK#jgTvwQpamjuyue{Ze z?6q8f9xagctP9#orJDVkX~uf%aIZ7us`8lgt&%(2Ab?ZZ`4N^yo;*t9j{a-XA&r9j zGm=4x=LJ}69WT1TY+h;~d&cZwI*!fcMt!4qi(30a>Uh0q{45@UXMVg_(%7Q-Y`iVc zu-;^Kl-??7nCiAn@x^IfIjXqbw+U}0y4B&OnaVfa!_f2)6WT;Zko2`w?NcQejN{r9i>cG!cH zt$5Nag8KPaVgm;Gs=QaQL>q!~xH+J(5v(Dgke2JiEEjBJC;ZW{g=r_<_@6$IPBJ9U zh38(mEkYDn9xy?$#Fj1X$ebZvvs~4JM{?ERB~OP1HyFkGtr-ql5<@-mq12$Pw5;>b zmJ+bFbY8eA2I0+liD19}YTeSSCtpwO23ta<80wudIGFja{C2Qk)M!qlf+lu0u03iY zMk^O^vl5HtGCV}@e*Lpg75BluAco&_M&jSC>n2{hNPA8c+-fpjpgwg3$e%!_Ue;Ja z!8q^of#vuEm!yPu&aWkH3f& zZ(#_RF+pBc4haeL1Eq75CYbDQy4nrl8fBxFeKyW#D29qP$Vg;z{i zjP=A;6!+>TIo=XUcIzwGnQ>R8azOL^NC>s~{gc+twRM2E_x3{+Hh=N#iwt$l=Kqk_ zpQGjk0QHqfYEaV5G5h#Qr>OTFb`34WGi3K(yvF@5gnO)_@<_9!XX{UwWQqFkPZ+Y* zv>-d!9_xw$>x%rrAX!jhg~sE=kQKtosWg_^QdCJH7j@G;lV9=9`I={+YD$am=F%7) z^Zt`~{LhX&jL*v-k`)^UcxxGM2(#KYXbYs-6b|HAzw)-pIG=uPR_xJIgqVxI#1rVu zjj?Lk`=^K)CA*`M?71VLPNgLtj_S(2U^p$<9nFv$QL~&ZE6CTkqA<0<3!Y zEGn0sTOn`3C!E)?1 z{KIhK(5->IsQLf4QHs<#GM$<7~k!JxL!zH)2BCvoe3-WP5vtC651oZQ;dI z5$CxKbw5ui{ukf2jJ*jmtay=`dPVh^GL|l~c1MBenV?som{q_3s)&`nfWJtpC9WnK zd`m(eZKxEzPBWiNMb^A2=jVo?j#QIB=Sk&cPYuJ<7&|Q4T-&rGH6w)&6GLdCHjT2R z;WLFZ(v+J7PjpPS3saxJd zfCMmJ2n7!0-8!ot4)m*TZ`HSKT8GmR7KyVDz?aY6&}xMlp8{Y0&L6zzm%@QsF(0+A zH~8?~*(_6b1&EI4u9vMjTOUgJst#kVaCzLV^4Nr_U6hitXtAft` zo}^~~iu#wto;C6igXFA0o0HLdqfv)MA!nQL^Ib@Eo_P(U&+z1K%;_Ut@d_H7|IWKc z_IDyzTwm@_t{+;eQore0OW6{XDhg?Mv$rj;f7DPJ~qmm&)4KAJD^!; z+>}^35dljwo48#n*D{EkqwG80cnFeg`PrboMmth=X+Xs-r`P#TkyNhP8Z*%Q0q&x3 zcDRF(^;O{dn~3c>g=6N4_JL%5sEr)Ye>`m^weC721jZMN$egl%C(vAThwcSyBmGLz z%p)s<-g$hhY|w$agTDTleco`&_NrwkAlY&tJtA}AH6*RT+7ULM!<$dEejk~+oj()A zJo=p|U4Kq^Jctbv-JI1WrLeh?-?7A=@LoPJcr~-L-ix9!bDTL(TG{z*d9RL4(r4>b zhk4hJ#7{-ptUfRrQJDxOF{sutv~yG-L{_r-+RHE0{G(UXLTu(v-i6J20sPTx{&Ehow7*3In>!D`HWj<2pg!)`kh@fP3Sa zu|eOCbzp9r3T>Pr1`Rg0+S#4T+9Wo_>_L6(A8r8ldkSpCt@~$$k3Sy#AJ1L2U}jA%ed)35exb?dt6;FhKuL4sOAXu!XsJDG)k0uG-|_YL_(JzBeSMjd2=5&a?qU%5*#LyNr@i)LNC2$7 zZevH;hB3f~r86(aRF2k8-A#g25Jf%5od=AODlE_PIn25fso( z75ci5Y&bd1dau2}_aCTlg4_6l)>!EpoV&XQ)ozQ%f&SD$!M7<5p&KueA${JLknX@5RV~hvCrJ^tVTh@(=`@NttV|u@Cl3GLx)2nvXU3dl3B^g1v3?edsnQStH-gvW z$oZ22me#>C>Ma?G?=36~mYq}a>3XC_Jl)M!dkix1xUlMn4$LYB#H;R#WRyv2@BF$T zr7GsFEqlbi@d(J{$U9~lL39$+ymtyUu@@S!ln)$AyBADp4Wq`lqK)4EoHFw;9i7(V z`>LLfyL7F@=2svL3F~%#!8Pq{R9?p3oF>-vVmCVOF^&-%M&I(lqo)j0Y*ck%8~_j7 zNG1kx)Tu?n7L;Tie0miz&oB*-qD?#H&^?4aEKRz@*i$m5H#=@a(lO-JULyPF9Ybv4Yw%IM9!e=uQTc%HfUK@ zW}$h_4_Eg1ZyXz}m7Ju{NVd#x6!M&cFi(CleKI?!aEmYer6s3d*ShEh7pBfIIhql|yx@q@JE1edYfu|2*Z~y&8js&`X->{JHr(98@Z;P^-Ta}`6qYBKw{IXRL zL#DOm9K4z+@e4eYyC-e^8#sie!8ZuInw+X+e_pKi@w?=;>9my8)fZqU6bfDjsGLtm z_5tzji}z=>CYlb}MgiocF$tgpX#%WNm|H_-PRMUeVuIWsYKLvHKu1UA1|!K@lmr71xf>3ZKLJYMzl501T*i{jLSPBtI?jIWK`>aX_;503PUax$Q z^@|ipYM}ikjLN@%_ARFfSn$9m8grDSpuZpBQpdO2lgxlsD^vFJi8b@1-(N5qF@+8l zGBC7djOjIVE=T&=pHHV7DX$!~AJn238ul3Vuou(1t3B$rG@O;m8)imejf#!}5wwcQ z=5v-vzXH~|bwC(^v!0QF3!)GGy7s<^0JVO@&6Gx=;+i2YVC-Hd_T%^^ZeaVFk&&$r z*7`~A5pz+*_GLI+bUju+p)_23%BW0{hbCKI^C06%EysM(5>ckbzD-+23ftb)^ zPNY}Z4|vEI$GdfLZRw98k4YE%36Ho*bEhe`#8c?s5g;W=RW4#{3nEcxso*4wI{Qa@ z3vAG4Oa!tDX{1|4r*!e#`%pBxH80lSnQ_gG^N|dXu@=C7FQb{M`&WT3Zq(FR3H_yA zn(DGUaLzvL{$;Ys^-R`)|MK~vDIPKQ5JmT%cUsokXXxjBJ=wwYi<6ns)(5AIM<0e} z8XCv)uvz;(*XyxKRg2AQ&;RZ&3{UaO5B7d44^N8Elw zb9lmwSq06cMxz}(hAyf9?=?v01^D^-3b>2)Ib}ighv@6l+{BixWz)YBm($vF6b-P0 zxD)4L9vq$v>1U8MA{C-fiiuU--qpXmmQC#Y4wu)6USheqx37(ZWF#+JqdF}8!K)muJvTy zLC9_)sRX0)r#q1N|LCWIc@(NTy($geA(x4C)T|D~ptL{BtkFhvY&Om`3_KMIF_pu0xw>J);r95w|Nvs3^ZT-4- z13EHw6lF-B5}a zpzu_*Z5Y98x{6`-U|`s-ry6&w{xr|E+qKKR);6QWpizebqF-Vul6TL+q_^A!*Qp8V zmyT;sN3{Mr0nj2WRlyw6dyV7PI4pg|A3xssXB946Q%8f%2WEf;{3q>=-2M!d1-(d> zWq(JMMweK(&w8PAQ@{4ul`R$SEOWuDzeq!V9=z5vtQy-bv{||6-FoXxUpZ!j7*H8r zamd0mA!SKI=oE{CE!M6UhmuQPI#Zo9{9&B-K?6foqVKTfaw6PKh84L6!vAS_tu8U` zl(P7s$20{9f3DyOKbi?LX+-`z@E?94qC-ffWzf>a=N%z;zJfnUohy2&?hMuo8(%^K zelJ#GiXoE%Se&)Jb5T!IK!9#dar)$(e}W3fF!UXR# zRa%~;b0tNjgDH*9x%`JzdYcnvh-9%gS&*ut`9cdgE&1K4W5b7SFam;F!R5#aeozO* z6P#?lzm9`GsAjAC^>jR_3_>{>aI`xOs3#f?A%VH=I4P#?=gd+pfD&#bti^Qnr*A9+ z$3jsJ7!s-{Hg*^wCgD&oY7<6lr>#Q;6k>59lCSCxOB(R_U%_cF=|!en|Ju^{x=wxt z8s7lOzjTk*MC^BE_G!VqZvx*7bb97$P3nTCd8e>xvkG$7TCOGyI3GtJQN5eX%HKEd ze6o|zqjGF0{8?ZJrvqQQSb#2A;gYhoVBk?)7%;MjJ@(m=FCBv~B&thXrifBUL(mHv zwb^A&5)z93xL^07wDAL9{oW8&EQ`YI0Jzns;+FEP=2>02^X-a6=~4L9`m@ZaV8GPj+p|%{TwI|KaL`$>$ZN1OXh_}=D?bC5U8gUj*dc1tH?V@C$>|3A& zX3)}*=hpfN#%r8Cf<~q7ePd+h>K?(mRla31sQ&3L=e zBd_KWCCmI)c$YLL%bwO)7E(-SOn$~)QB2HOXB2|(4;zzUf8U*?FWOb1-RBltk?B5^ z{WY=h8Fpd#B3()M6T}|wj=`)9pU6C`)e-6_F$>A9gH#hvR0-#Zt!{WejKTwBBzg=G zwbtViu}C912T2`GB<&7w@yU9Y9)#T?wq_SCQc6H`nEgM4h0b>687|RG9=ANWzYA)= zdP9AnAh9m?$19P^b?ym<2_ipS$-Aw$RYvm$AWKNxu!xm?0wa*dAaz&WtGud7vk#?^ zPUJ)3uU&0W=n$X%Xw9@8Qv`|@o6vvIr^KQ!`%>;t8$3AV#@>$P6#JXcXxk`y)w1hJ zM|DQpS;Ij=6u`J+xo)ge90V5`Swk{^ZQ2h7t7KjlCH3XoN^@zOCPC*C*|@aScUy~F06!UuA6==%IIrOXY`;ugQ9?aEh_8(T zZ5o?gXO8kx3rGD@)`%V>sU~aYGThBZ9v=LpgO%Xy6SAnk**joiG_9aiBamySeU72H znv}%NqMIilX|RmxxD8>RypmewfI+3th1#YLsqP*L7Vv|IY?M9K5?M^mrul%`5qZk< z9mJN4{erA)V2Dn=GWB+P{H5?L$RUbb^^9(B>bKw~5UMW;yYZro5k9kTVhQ9qcUwDh{CNz=oC z@Y;ZhY=%HZzkSAWZq&RvHD=UQwq3vV?e7K;<@c+ggCgqb31eR2;qnXL7cEv=5Lqud zwEoGUI}BfjUsh`aU~bzD?< zNZji7i0qmeGET2Xdh?3t?+p~RdxuqQ$KQAJ_ikR}vP?{(v0|&gawY&Zq$2W#F=n#Y z+_>pi>+`PuLWX+y_@I(S1=*U=sjukR7!uei4YR`0V6!;RM64$E_mgP01fx(;9A z1QH+XIkRH)0{3#jSX6)B&IsfO1Bluc7`nh6`PBS2?_$ya)UiOtQ#cui+=wQXucC6m zvfJC}{^>L~vvW-!8sr_=)0W9>knGK3`;lHJx(OrMY!~1@GG977Ij(2SZM~f<_EJyXDFYX@i#Ivh|60&%MYEJFoNtf6C{qk>Fg`@94vX(f7Nh43 zEVRAQgpCMykdry@2Tf@D?EhC(4;5i2moS)nuuo^a2SjbjCEB-c7Ef3-c^e>Iggx-|Wu{j%(s`n9x%DXrX~B74>O>%y=T?nTx!^Mg&r_SG8l^I7@w^p>cJ!PaS;x#t#Kuzk~ zEYL%5HLOx{$+YjXmQ<2?nCA^`u?hhKdd0ZLzZRJmR@dIwuf+2H*-sz%`l8iXzAPe# zjofe-C0Sk&6YT?WJ6VDl_?L579KvZ)_ZG`j730awPA4%y8!&SZBM95lA>TiE zaxfIrG#N`p@|E9c)UCB9`Lu8Jk)gu;)GFl{-8YD@L$h^|cg%MdBb8o_H_^Rap;=9U zpcOT@`t5Am2jGN$axt8ge>`rZEkkM{G?z0Ntf4qMT#oL-O!q0*fm`rQBZ^kz>H`x2!&#C zlB+y9>!*4|&39cOT3!+9NR^$t4~-eez6MI)2NmAA*q#wMRIN%D*R%~^F5dEyby7Sb zhlmlgNb(Uob?Mm=F|e}k1J+UdF|1u*3T?mjVt@LO&gV)|)AhtqR+i)ZM;4eU(5k>G znT>){plumKo7zr=TF$m2Ap`+n_aaA?olW_*-4ve+9i2NOaN=J{aqobnECebWA-s|SupalH(=FRn+`kOd>duHlfH#y-{ zf8)FVL)cqJ)fIG6g2V{~3+}-^xVr~;x8Uv;Ji(m+!QCB#JA~jK^x*`Dz{6dq-q*dR zXTCMvvlje;$E9xFx<~dt=WIFzj7WL@L^hxId$$-%kJ_}}yjq%oQk%xLaBZ@B$yN^8qew7G z-pm*z;gc6sQ(e7keNgVnszL9Y{}b=}vs2k+G9rz2nxX}bVRzGr5)@CI6c@H-IV}^M zRFF8FV*M<>m*bdy{6tNVukjmR{!??L80a}S9nqjg^8*#&b(^0LM^Uzkve(=VKjK^a zkrE(J&>6nWQ~sE+8uVa+0(DhBb%pa*IuX$wV_ZMF7$svWVdbK;_iaCA&p}J9sgkMr|cpncS+}zR9$I?NLLDp&#!0Z+0uN^Myc#F%FBQ- zp=~5k!$Lt3G%j!#DVN4kZP@+#_Zri~-BpnSF|G(bPt2_lKcaMJ6y8(awKEG+3i(k7 zYCgX5C(e9_{0hqnQ$;|NK9fny9^yd)$H*hPL*7-|U>23@X+B_3%dOVuSw85ni2&9m|By@G5C+vB(<{ zfmw*%52J$Jb6RlNwC_E7G?SS?qs!L%5+YM+)abfbWy%9Rf3B}@LgRN2-lLq4iZe~N z&QMafW_2ga75ewC+#yfk<+T01SG6@9SC!W%NcRZ#S9`-{;*BTD-_YaMpCy;(ZY}Cg zQY-P~gGc_rQCcK)421?se_bW$WTn_=vzaqWQ{`3MsoD&g)X+3I^Vw){IznC<&l)UA zVa55(-8{p4V4ebe(;##0d&%9ZRG1pD&_)xC-y z>~o2z#sWM8Zt$U^YQ^R%_OYsxb0}~c@6 zp&kK;SVyCD-U(ljPgnRb5UO)7i>NyhUFoZCU;3pVUV(}Jb0o+-;a&L@&4=5^z+_-qEts+|Cku?4o#4Umb?xt*&VcH&}iyOP488jLVfN zkZs3rfs8`eq-hMX8)&E+@F%jO+4qk4%H#nEeQfJ3w$XDuVMB9i@l?} z{+-6LjZLX2aTr6O1+PSXtgZ^D+w@T+&N%z_=iBafkAg-Fg`b%%LhNSsnC(Miadt-- zhZiJNi&lOyo@0cS1@90ugVbg`r#gV3OlZXjRwkOOG@)lgW$y-E8%5I#*XcLb)fRDo zXpodviyEl96u+i^4Z!omH2kf}E|omP!8R0Z>OaJ{m`k*ezy-8&tEJUK-AJ~3hwM9U zf@xF=zb7U2_eJ63ayfk9bvyV#fb0yWL-+H5@G?-pz}#gh%v+-Y)o(6F&v>VWDCtD& zWcY^%BL3BW7Sj(JEe#G2%|#H{y+9z1BDdt~|5kBEAtq_2o`#zx5S>NmM}mXQ5mtgh zOIe`sLD*~8whQX6ayY(ok)iPSob!BJJ=;WceK0-UjWUcumZ3x_NIHiECz?-sA^Skv zS~0Y;Xh^3Io5H@P=GOdoYn7UtEp5`)ic}&q&>_zg3wzH_@*HjBwc37ty^9Z?3hVga zUMM4b#5@~E3w~?;LUW)6O864*7h^ykTwl6<=bhy7KWo(+2>+Mx($W(;L(P_+>`m&K z@c4bKNF+cWxBX9vN~&USkzfVtI$ZLMSzl4qMp3x9(%~o-M>A*DapJMtBkO^Kt;JHJ z?e1XEvYqw8Qock$WzblNcEQ_%`;Q>V4>6n2%yknZ&T?bHay>V1d4Kg$fA!|&)=F-l z?F;&TCWnGq8X4y)NaYe=Q-DYt%Al8#+-(B`IzEG4>1p=?fe zcD9-`W=4#f>DpLFV|<~)#=*hVP4R9JC9rfC^)gzDx5)Kq+qRH0`puM>u2|f6qkXTc-UBp3^q?6q?k?zmTu^_UBM@a&Llx zgF$C&we>;N;?%k2(#%nGw>Fh_6^Em$(fNgAbd3U~p&%fdL!;NniwvYWyC8=oCtZ^WE!#w(ouE329W zj-AN&+ORK%cpSXrQlBiYg_8w*c!>S(na{RI$!KW8a9PcmJWfp#Kk9``7g*JMi|@o` z%VcL&GP2&v_G1=j4{6{zc4E#5vQoOzzP)RE_nfK3Hd3xNy0M)%t-QZLXwWjn-AJ9P z!SYe04x6I_DQ&h7RBvVr{BejkSH%6qN#Kjpl5vrC9Qco{&zJt`hwv;~elZJK--Q)A znF?d>Tp8X3hK2Tl-b31B@HrE)4CmC}?niGD zvBer|+qtJN_LUspA468(*cWGxx|WgpO87ot@pZLd{iSI+d{-B39OWz=|KOP#GF*co z0zV;@zo*iiduRH^-;R%jQ6d2?g7R4{&+YDSD+3B-1FfF9(|^Rc89c9Qw~u+M8-s)f z#$zzE*!SjItL$Y~H`bRHrT&mRdtPQ;e|TD>WPO`5?M9iuD&jA}vmaVXvE3^jKNtvE z{K@5MW=5&gXtxzg77dr3OL{8;4Ovez@Lh{!9s3LGG|u+AI&8byPNUbVd1-;8#_e@! zbJ+RhJI1q552x=1WuKg!Oy+g}2-;!0_gqdVWf)Ix_p4a#mbl~Qnw#be_FPRE5D{QKC8WeP7erMY~tQ2}CWWK`{r{QUqHaM@JcrYaH_}-{i z-TLcF?`UA^ZN8qxwK$$be~&S60y6QPA_K#rdyxqUwJhl*Q;2z z{|;A!RNS9FzT7kCeilKAWQ{n?0uYW}%{bRL8r~7=#ew`sD(xX@%4y&Y{o$1hW}B@s zbYY*yWmm@<6ZBy6XBo;sjY@rbH*wy?S?6a5Q8@&{Kx@Udy`W@^M z7y~Vaa{czyt5v@&G%|_0f6Wq6c)e%ig5!m9X}eQJD0CW?n?+f^MwbWka5k$Q8F6v% zDP@!Ye2J7VGCtp(fGILqP8C*z(c$;Le(^pmtgJBq40`zEj0(6u47Tht^06Z@@Dz|( zEmaQpR1W8Ny2|34P>MkkO?T1Q&1T4RO`h_0Y!}|yEWEqbjJ6-04zz$wBOpm6q}=-G zvmMfPe_#B!votlEEBBTzkc+FNrM#FqWAdv+iEXX3PTinp-Jl8HUE@4=AnJ*!BEC{~ zC{O8T4B;L90tWcH(F5gh6Vx78w|%i}Z3_H#uG5RD>N#YKbMfF+C+(X;TK;o5rdPz0 ztKv$g1z|{}L74d1+olPkJOyP9$gz<%@JiD&Gbf-8Yobhp5lj-FDcxxS!`vNsGS2rQ zC<)S_6Km7n?+zauG|xGGx+0p8}ybgXGuENlCgOP3kWSwsHiS*m~Bo(>;q;5O`Hv>RP0U z1x>2cn7}$mK$p~vF^xKdm{sd<3-9Xe{-n!|2hw=`B+!dviehN~o-^rKI6I#uU!mKr zfLej7v+ksrZ^?D(e54-8isg9mGfI81w1YyaOv@GK@+48B`DzSDpXE&qz@>&Ek9 z1j1*mZ13aaGJIXw3+R76sAwin8x~ zNUS#QS5{M-F>%@Y+Z6ztxPT&X{kir`;vYBI&w#1D9wW<6!Q5P^n#VA3XeU8@II5KA zv?}otiJ_p1>Us90PB@ijjNkzf4g8hQVr&%>QRnUo4pNqO7P@G=-MSYoM9!WaLKd^w)y(qx_mXlWn0 zS1esMq1Em3(jCZO8EN%Hhi}C1+dDj7nz>S%Z?_X4sV*d3>`((%R#$e8;yRh!QsK zD`tt$uI}Znct8m0p1vk*@@Eh1Hk7qO#EK#;Al=^R58OpH5-`axFOP)v)f{y`5v7ev z0C~7Q7pF-nDrWl?K4oQP5O!Q#Tu>*-;de?GfKt0>AZw8H^yD${dvGUBc32Z3 z@;YFK3q~dkm&jWKjlJQ#_+Nh}Z^)k|4|p>EIMJsX$!57ZVT%A6s@w;Q)`NVc^5gYBusW z&A!7BNJ{8B4N| z5Xnr2B4wG@W9i)YH{*WWKsN@q-y|f}s^;$RPo1-63Z{ zS|RrPPxo&tTD4|5>Sf$VZD$Ux%aMee_!L%iiDk(u2vCC{02Y6$^d>C2 zthmEJXp8QqX4Cz74qQJKijmW-<0cO8cHK)67n91b5iANwfJNy?=vSx5BU7oBWbT=b zct@j+;P?mR^aYPr0@U|my$Sn&XxP(Jnf+sFB)>N+Omq{!Q`{{1d^l#Wsn(9!%JB`+ zxu0cV;YHdkLBIV6F^Jl}yUL#P=~(5F*7jVamhIojgAH7(BQl5>iC7tpi^j3*$@>ll z9SIyR8drGqsThi3>I|~L-O}HI8yWtndeUL7aSX0OZT0(Jv~4rz@&nuJOOE9G<>Y($ z7BoDC$=GxX0yidhtx%2??=v~zt)EfT({F+SJ>~#rhtUuL>Y4^!29S=v?Uvttwntd> zo2@lld>+$sCXGzDV(=5U2+PQJ2A6D^-%-A@R0a6ieTh&S3~1_rV0duT^$63R@HW}r zOif?wMJ;A7-jWEamTzYIVzYOIF8!l5x~<{9?iPj{YMU9+J)>1&k#tgvQIYzN`zA27 zSy=&dDoHSkclQ-uWmqjoM|Wucv!!Wk+7#tas3HV~zi$x^buLI>9iH~tJ}owXwU%EnB zUVg93e2pso&8;mZ9i3q?S_pIBC6LQv-`Wl2Rfk~u`&!=btdg_VjqeGldMYLTU7d~I z)0zMoQot;8ytabDv{IOXDVN@xnFw+*{wy|?MS2lAnJ$>i}vb5X@a!Wo830E z3^lieB_<%L!Dj*X_v=Hhs@Lg`1Jdvl^Y_Zt4N^HyF-8g$h{GCa@GsZFWkIL{FcKdC zD7Km{imst5*m{D9aT{U@F#P10@{z$oL*P}tfq)OpJveZUfR`4B(@wWs1#LZ>yWQ1W zrG?(=zW;Pab`UR2%Q(~!0Bd>xfWw^8$?fwi(Hw@ezM7*T7ki_D?{Fs53qoc4p+rX; zWx;>X4?_vvFTsh7(pB-)$)^qs{f&Qm<~7q-e3CV!;hbM#{*Lv%hzm#Wp>zkM0UCS9 zPn%c9%CF-~5|x%kfZB{@ zQAS^b?c#bu9O_+xGOZF_9?BE)Zg1aC^wMA;{6L_{aoA*!!C%NnT^FK(t0%p6 zmCsYmgQruZ)$W*;T0|$k#P}+mLyl_L!}?VMw^34%M2sp&m0G7wL6Jt4`qDY(12A-< z-L;)}o~8#>Qy95wb!mRh0$DK`yzYIxNF>@OvpC%B#$Tqd1J8{=0h~EG7F91zsl?c1 z5>07?EdEU&6Fv!#Kw96(prxc_l)?Z`FmNNnwkDw!8a+N3)Ho*433VC-l3b?Jcj@1q zOs22HXabCrqfm2MrKc9T3xammR9K@EF4lu~b1^0z4MLL#Sqt*i#ST9#O{Iq^RYW*S z0OZk4r5qzSZ-Bjkm9*Ng7V1&>uCI_NO8z6fNRMpX%FqnId~c_vXaM`bY=H1=o7v)>juZF73KcRg82*K-7a>)#lel8ezF4VYnXto9l z+(zzT)ag1>!~Zlf&&7K8vgX|&&de>B?+cQaN&*#H1p-&HPStW#$1NUUT#L-3$-BRk z|HlRnu#r1!bRy2_>I@`NbfOg+2Iq7n+MPP70y7Z$jXWd4Fzn%r*{+KK{e2jV0{aX4 z=12v>U@^V3=m-%P4CQi+|Ez70g_8BpWJWfrSgz~?t(dMUz6uxBnOI*DvUu5aTy_Fl zf(Su0y)lATABF@a;WzaH65%Otu|$!a56j;NJeK<$BrZ=ZFleW1C^JzVlWb+zMn;s< z(>*b?3sPTJ(5%qBCE-cozj`Zb!~gb$TgFH+>{#|Fr*_GMFU}3E={If3Y_H$Z+O|!- zU;o*25EZvN3TM|5s=F$?BTdjR+i4w&>tBKK46%?X} z^8jB5g!X}xGVytJWlP{^t`W4$ce1odDU>>GD(Ja-;ab(FfB_UNepm%=2(<9~50Xz| zg*B-BbvmB=_sUzVDaSEQslf2^xE9x9_=A@IIXs$D$8Z;28rE4~14Yy#n=~d0kt+h3 zisyIBxFlkc(ASGrbWJBojq~a{^Gyu>CL1@gJ5!5sc>N=RyK`VGM)dFaiMOgOmkL!% zZ~A|hyptOt>7~A^7IATX<%%pYSD#u0c@hd`f};)cUyR`jo2rTVAfulM+BH#abAMK* zRz+~0UjKXb@;3?G59+4Mqmy)q5B$8DS2`<3?t@Yv?>7q&AxT(TTDDE0W+e0OZglIF zfijL~{{npNZntdHeHGGK&~qPj^tJu~#O*K2t7gAFDlYE}$06VjRyHBrP3D7=atH}< zH!Fep zFJti04AF0kgLFE+Q8JSEF9WJc()TJ8g4&TpU9{Cg+owJNZ7i3{=_?sabZrGjM2v|`tk z_wy^Wf!tWW*c5LtYZ_rA7zKN2hm zenMZX{m6%6koinF_(xUPDu{a%ZvG+ zxA%Es7biU#lU-mSQ`lb{8&tRK;^c#Jo^rcwu|u3M$~~GbUB5qgof}1>>S+ac4aq$y zh)JD27xS0s?>TtL+0(S>S|K1yy8GB=kq8h=ltdy)qJ$cGo9zMO#LXTTf0wh3XUveA|)8REQp&ZGwLC zqO8hrpyBqkhMlQ8I?LCHoR`GCTl_KNRmv~2)k>Q_99bOVu_c!K_=*OizA0+uj`bt- z!rFT+v(aE2=k(4eTrFd+6{H;CGCatp}MGH!@ODb2A1x=9^2N-s=7_rasI@36Ks@ zvnJPKRQZMA$WoExX$4StlFRWzR-^cOn;;8Uyr|$qyk;y! z6758~UMZMC|LC-dN8j@-!lSz8|D5g`WyJlr;wdSzQHR;q{~^_k0!1_bl@Nw%w zAcbXVTz1137Z;CO1k+xcA1)VhdEIRO>+_DG7}V<^g%Jrw{s=fffH|fvENHj5AIXnr z^6$-*VS9LZOwZ1;n2)8a3mSl_LrJ<$Z>6N9Kn@)I4)^zDfeik}nnNy|<*$+xZ5w>LL`f}u1WkGIww zHgiCH-t5=cXOZ}vl{4d84qRN1*Bjh>`SI8HXXBtq#dLqRV$Pswf^`0yL zy=yM7m>Ja%nSJlS05)W`aOVq9K=ZW7{6f7_PIN0@x(1TB_~wc0cOX3`o=i($fjB=rw=!grP5<^ZwV3!%t|z5YK59 z1@WayMe0BM7w7+GBG481s?{XueF4P^o5urmaFc=%vEvdFdZRd31^}Rk`0En7NJB#d zJ0Ma0yDmHuF+`)VxjUdT3*1`o(G}-B6)S7}w-;|}EGBY8d!?%&5s-b`doMY;QA0m$ zz+C)KtVAs|S`-L16N0&&|AE+mah}uiv&|r}=!2>C61p#S`CKjc1C*?!g* zb#;{euyQ-+9eFruY3V;!^>ffmv%3TC#~31?b0r{t+0{Ly2akpi{{Jo)0DUGL!LZQW zjsN#TMFjetmFR!C^N${rNH(r3J=LaM@(|s=IZ5A7%`icG00aAPS zb37q7whN?;sW$tooq|X0S441odwW9NyMvLDk$pZxLqm9yI)z0=8)r8TTm*6w8i@%B z%ubsFp*u5sF1s!*-D3s^2EtMCE!jy`r<_U~XAa8hj5VX`PUr`Bf|~Fx`d-V2DfbM^Iio=pdU>K&Q(>;>My2c)FZo1tDlHYxW%1I^qF1!E}x7u1(+ZE z1hSMDKbv?xdy~I@2g8zdN^5kiW%GFr#c+Ftg$e*BWAxZ(et7-6ZuyLE6%_t<`Svs9 z-(c)2Ty@(2JT>b=s8r(TUh_jZ(zK;M0XqgGJB;_Bd(cDPR0AZL^Mmz=PtEG-zW05r`I7a*H z4EfDc{Fg z^(05=)zLcQt8c+~PqKMIkiJX>Mr)^@jptn-h7rP>Zbxsf{gL|H;q$4IJvJtt_skl5 zck$sTT8spc4y33udVtx{?C|#3XxJJ~a_&arbT}QPdhyfq!s_(&6!}gUya&8sDDZZy zB$458BEv`qZxSF(zQM+PStLKY0;36gJ79<>z+fGEF*QE3;Wh8(M!@~luF&;4 zUsc+NY5IMPk@wVbdYD&Wg1OfPZ_a@$60*Mqyd=4xU{(}9=X>OkJxCR?&)uc%(oufA zyj8ukd?sJYU_6y%6deYF*;x7@7>}5Dm7J`#|JyU`Y@+RDC3F<@y(tO9p<-MV!$Tz`8LoG%C3NSoNslvpRLrBS?%yi!=Mi0 z(xfuK*bIPLllBD{xrvtjh^-PiFofVvlue@wMmY?xpGdr& zSIO;*yO0>c)9cYZng)2vbMll(@?A1wDlsqYDa+3Z(i9*dD6C;QRSgs&h!hUn+oT}p zSgcg1PGL4-(|S7#mLYa$GPRq+@mZ{AuGc5JuY9(TiwtZ~Z2aeql{^KIx3fiDG!{&D z$6s3UKPjh*;)Fo(gp4k9K3#^amo9-w(y4EBW`TKviV`6#CQRs z3r~V9ty##4zMidB?@76R9){Cud>m$i$AD%$NJ&<75#znYZ>;cvLHIR!XfzE7umnH| zwd4xXE7wBz5KBjWQ`$-qo20;#bmmDACO>oh*G*QMQwonNnLF9mL&|?&(2L5$&3hxC(-(rP^N|E6bb0U!nv?6T(34E;->$2_EorG4Oq96rQO_1hQEDMLXiqViQ)JCi~wwW|7=Pt->fm z`nef^?)@#*?j?3$K`$nm4Ik3Y481jKTm-QT6)Jr8j1@D^JGpf=wb&y5y#XsLD`45U zGUVy8XyEG_hHiP%eHjgf%2dHqiEx+BeX)-Kb(NIE{N{j@AR-(+;jis!8G&3%2M8!L zji?uXT!GJjT1U-2Ie>$}HmQ%I8&#AkofV?U6{(%`1Nj*#V5j;tlrm}^_g=?qi>A8J zVle#wSNLK=RWimwiBj}uu1JZT4_9#Js&9iuen6Vx14VYHt&~StOxt$nj2?qM0e4a@ zP_Vlh7ikvveGMu?K%F8X5ARsqA~hiv%3(f%U%eZ3A}MT>CNyyiEzwm*KWStB+-(kj1zS$y-{|)8k#-VN-S9fVP@rK9${d*TA5G1$g zemrd6AzJahvjt)hX}tkmpUYL=JJ!{Xbd?hJmanQw#6*fk?m_?M#TE+&j|43srn-1;u4;6_$J#0m>#`R)#C zb=~Go`OZdIF|e>skNlp}I>B&#kb(6~^!Yng`fc+QxE}V|N@N6^+w(<`IVl5b%W*_L zG}>O$5|dMaGb?u}wa>OzO^{_jbqe=;899ycZ1;N+HVs9k(UE3@S`%mCjRrrzM>@_- zH-aL*@~5jgJMd(4qnV8D=;$#D#<6Az1Wl8Ce=2!hxn0MB-0I?3t$vxz#ZE4!(8# z`lDK44a8F;u#y4po%8_hitRvj`M=-Z5d8%q!J6OGodL)P9peo2M_*L=O#p~Y@#w-C zB9o=KSq$^QF31$o+K)GnzhVAdh^a@9(NEg8ok~6hfKIGcoWHP#IoLrEaB@)8si>ww z{2xP>PDJeIc`*fZ&NrCyWzLQ@YZP_+(fv z&6AK}8V&1`!YZHpJp}D_9QYI(fPH3Us-}hsa!{e}+aDm%B8Lumm0U%C9>Vk$AJZY`T+|TDVHRUsO7FuAdLRK)Xi0}|B55>#6 z>PA4I%cz$56e@}VmK8(9KUZ!11`d|6gM8yPo`mj#O#^6YS|?u^PT|)*^_K|kUPpWh zAClKk_z|WH9a`Q8jlwH)^EiI>{6EVWTnk@eX2d|=Kxy!K`QsA&1~=uK$+f~IOsyaJ4*>hcE{?fFi$i5Y>t@8t+ zzRRS2cD%+I%gWG@v|Q9&LZ&@-S$@0EJ#*~nA;#>kOJ1k{Qa#-;)vL>XB7~^S)?tBr zH5%QxP|^LD-!wAVljHMAmWgArKOf@M6((uOj=TOn2lWk=ncha{!=;X0$Bh{lqkd$s zk>%1#g$^eu2_Tb<-n`k#+5so$GCea@ugn4JzI4a4r+d`aYi^-6q7CQA!J zV2kvx*EPaRtv)p*H+df@$`dU`xU`xIf`@Q?dv7zh+~J1BR#zqbz|y?m7v?f9W%MaV z)=bZf$64Sp#g;-%Gm>YF*O1Aai1T|nxpjIiwn&|Z<>gELW+|CB|Eqf zS7vav$zUk{(we0t%6nC%UK#q`1S=1Uc9`_zBtSEpxAClQR z#Haeh%ZTY3h^zoRW)^x|3H5FF+vDCR58BVap{}<1;4`i`A&>jCgdVBeQ(z#oS_!$^ z3HV^(s;6`*y1WZ_Xev+})gJ#rqrwG1q9%ZIk@aPH{-XifH@w^9S;P@8Mx}*?ughk_ zr}jXv0TiLZhH)bm_lW|>>UNyIt9++`ijjT*b5*H7 zFOO1~PH%qQTKt0jHmp z`loNfCAGe~ZMa{TRCzu2!Zr&R3KVI2o|U@aeKB3h4TYACZEf8da8wsDN;m#!x0MC4 zW$2596cY-@inYePG7Q?XQa!%2e^+S6;uJGB%UVQ>fnu$-R(ircA{4)Bt9)XduUrn^ z3>8B-R}f`#ltag4ic~loE~0gd&)@iaANPiv1xdqYG5%`JqVL_YCqf5(s`#auYa6zb zFw$AQw$$By)Y2KNq2aApistK1 zcUra8Tvqpun7pI{n*b}WT7epm_T?6ztQPnHbvEHM&lgcsR+2SFw!-gf(V!FdbPbYG z6|1`bko_3IZos4I*fqv%S*LaqEF1SOJlDPGz%e5aw4l4GC+_2YMIwgLs{O^R!r7yw z>Iz19Yb%U|CunJDfl5#wEAN?7H4_t)9$G@Q7gqIgFfT>jQPNq%2-itNX|>QAMe06pi9^7e3D|-(_A5VM+@BxeS~nr z`};ff#L5LJsT6d-4>(743%YU3J>2mj5|Je{(!oS2_#2U8Ue2e*zSIffq16%Ncq>Md zq=2MSQ&Q`{9qqlp-Z$g0XUr?*Idz$YX6RR~<+6r|M;SO>Iz;yEX83||MeqI$6qf{jvw!ira(zM%qrhrLL)?SJ_Fq!SX2k*_=6JX zN6i8mhX(B_`<%8uO=ID&hgAv zJa|OkxQZ4<2vqn<7Acn`^Efi4H6;GD7;NZ+@>HZs9`VNiz>rvY1 zhF+q<2Q%T-Jh(6?&()F7UYdh|X2^2x%L_m0@>)Lg4J|Y+9>;}3MazmG|vA`*o zmXiJ()R`3|ZToxca_!`n8Lv)r)KizJ(}mzYp*lE{fKG)K7~|VDeFN}jlEasAxeEU< zbgI*X+VQx=M65CwvB*FX5?{TB`1z-s;K@@wIM1B|CrA|fK=knkDvKV!x{-O~_T>B^ zQOw9ll*DfDpWaBulTQ4&gV+7i)qwXS?+$H?DMjBsZ;!HaZi<&Zf6x#uHa-}NS&Oq9 zn)YPw!*IJsHa{x zeA{9AYmJ?Ew#k{^tkCGwmFXSO7l&Wtb~3Df>(*M`ZfD^j=p5BBa4{lwa{L_iREBd~u(Z1O4E@)4V5l5^*f*iEC zu`$z#Elz*k%I}MH-<0{82{mLS5EUv_kQaR=px37)8gkNwO$XWwLBW3j$@bV2l4N~^ z5Yu#izyvXrx|kFrE*dp=U%SNMONdZhOPowQ+HKMgf-a2Fzd`>&&mxs6rz_z{jX!^0>fEiF7r*ja*~^fF?Qbfj|+8y&4_Tt71M zWTdX}E9V`$PyZtLG4#>(j#>=83?k|GdakVkBZW;YbZi`YQrjG~v*em4Q|!o&L8J0M zk8w0xosK!pgbf7EJ_ybZoa`*`RYK?Ho5yXW{5CJI9c9d^Cxl&78s&gp=q{=>e^+=8;666139?*TmP8q=lzee7tO2S1Mz?AIcfI(UjwXb|oX%kUdjU zos1;gy4f?3Wje`xnoMMyQi%$unxI;1ElLuU7Ew}Cy8QHv`9}hghkEkT0XflKr}J@8 zfX$Mcgs+yX4LTs?Q%nD8H(+bj7@E`Y%9IvY+4Jxy=c&i0Vmt`&@z3}RS3Ub>$If!U zI{;asL4R%Bn4-<-2utT&-qJ9%p{UYe?z%EC8Y*v<8+$pbZL~)ZJMRXBrDN7JdkNC= zbbhS9me6(`vR?pd;(1lhfB?X&_V*T zn=*{;J)oL;tjTc$4#+%m0?yJ9DAxe`kon_kN&CFozt6Lat7m7Wgn%_ywlT89Z#%ejch< zwW$&{K~*PJDykpe=gOS4wAxtoGRWb=8;7hexd^-QRD2?yz}ISasT9% ze=-u!MO-ny^w$XSRgL&SGz?E~bG2#*W#OD)i*@a#7>^cRVLe0?D$s#r;@6G|qm9bRN$f z;lF(;swwOFG0WxMM#zP28-yFR>+^R)>r;=@g`N326FRu%H*VHn1U+5!%Q}fM^+c0! zv^=KdI2{)(i`cR7ujV>@z`Se<*<>bAo%MhB|G)X)jKOVD=QwrXp(wnJK^!cmhIFK-O=qU8svG>pz zlU(x5U1~Sf`tRitSpYMBpqVxv$;?V)WfXnQJT?q;>M+Ze}8RGOS$*r$-Ai9;rY+9x>Vk6?}5K$&I3a~ zpCPq>tZF{~(qc-Uw{1NF#^v4r0Kaif`Ty6neIj)ST~Bh!rQt zB!Usp!gLMrF%mS+uAY3lLj)_kuq~3sOU9sEtHck#?*z;Hv}&({K7-Ttk$Zp6>}t(@ zl`S@3FfvgVghylh{b!x#Rcj!nI_sO#V1`bjOVtcNv~Ya^l0ydrOP3))uhN2!J0*q8vv0DzoijgVXu-iv+fi)E z1N;2A1om^T+6rtfXXr=x>ugA{Vy5 z4iN6}^&vTI*~UKlD)_6dU*PktGbD$#VeGtbm;+03&t^pi0dHZ}po%}CmWp_kh6?4! zB}GeMrJD~wfneoQ@YKwGBP|B<*?ND(&7zOWe06PHW;4z1h1H}=>SZ=aE%M1JzEA#U za~A=lFBYwRD$<_Dywm;&kYQaFyH1}>-5YT4Tu$k*_KL%Rsr>V+#7`x&j>BqB$3ent-VU-Vm9QZtzq z&L?{gp;BhLywq{~k*8F)n;9QCpHDWpa{nr4B0GTsPpk~o5g0KLAj^dGijsqlqk<0p zsW1Q55UI&HsdVPt``law>D2w*Wb7HAM&zTqO$1(6MuP_| zg+O=YXMSJZA5Tac`J9n>0_dM8k>!hsv{FE`wQb`vXxeD|rcd0S^Kg>u^#OZ5@v<49 zbdEe3QGTaqXJm&Et@0&h4E96=^(a9c(kdO64f%udFtXe4X&K}}7!!5`vR)TWZS+rO zuG814SsZ^$OYG~H5^W+ghZhJ7K!h?G$1vF;mNYR_Srsy*c4RtV=wE!|$}6K}tr|%< z69a<(QIKEP1qawxUDVsnGOiG?cbu20eL*p1NSHOL#obFx7&z&_%$2-SO|%cc|Aq3? zP4cb2--qD&w~oh~w+q?XLG@<*9dPv*a()4m%H;rUGFy84fa{~%?eisHqyV)->VKAt zOw2m5K;QARBuP;b3O}vjGGNg@Yrs?!kD6(2Z(4eD*|t@A_Vcv0UTMSHcR{FqiV(n; zY#E*=TcBD96p$Fh7}!Pst`CCu$1h-E0$}@J;z=l&nV7I0s;H~aaxJj%^Al!`hjg!5 zu(ZHRv0}+2CH_Zu&^{0U8qBU?fRP*PbsD`n3Pt znr55z%SbDN*2Tg{BSjX{EdDRPzB(wb;OmkofdqoP1h?RB13`nkyA#}9f;$9vCc)j^ z-8HyQaMu9_XCJ?BcWb|`t^EUvdNs`J*RT8bm2=MB1*WCbhPfVxbC2ih5Pj+!086RD ze!r!=BMLGw9Q*?;S?vJlVn;L9h*+6kRh)pyah&BO$A*Je7 z+2<3?0|Y%lC3zI+kqvP3;Q`0!g;NkUaN`96nhh{WpYctSKVG}z>AT2}LbEXmHTwkinZpzzCGz!dN{hC(go=&w`nKnNX?|W^# zJ9d;nn$6!efb11V-(Q&dIrdMj&#o;xuBiebRJttW*?{Iw_ zpVQCyFrAuW%`zxN&?>7_D*gSt{=ZH?nJ2(^jf;!J0Vt{eiT6QHDD&8o2)^?z!=-N8>{)Ej^4C-(bWzze@3qr>1{pZVZ+S4Jrf$fSUN z5^p|OMws+R<`{Il+JY8wn5oBL?!NP4>tlClN`Y(W9Q8Buu@o7xLzz?CwsmQH5~+Z7f;*yI6i6tv%&3?Fh>K6SEP;zPW^a%zJL4 z^%%wo~HWD=0nm|b$3mHd*;pES66lks@z4e_v#%v7!C6izq4>tt}gCL zHZ}#9Ep_TXivM88_gVH=t@s0*;+Gh${3Fn*+kUR7sS&WeYqr{cJoY<&BY5vu^WBxR znFQvo$t*@9?|y2gbn%$9Y+B?mtYall^NRSmiZ}lv!m&3Te5RTiH2I>K49bVT{szf+ zZnbVxW6)37oZs!Brp%^hq{4h6tB+CuwIs~$Q<##n#z?s$d|x8_<+ub%p9SST%G&z; zd{YsFbG7}Ds*oRwcgR(5mT4cklvOAayDAlpDpAVyB!HF6=0BX7?tB5OzeIii`_~d9jp~29coXm@{TJg`OD*6k zmoz|z_-`Kv{;@X*188IQe_geoxe8R<=cOkRfmc*fkkX05SF`T9nlqn^r=8a#(G(ReLRTvb@kqwb z(TJh>Cg)I0@j@`5NWkPRbiK7}X-z@ujKrS+&aCI8Q;?P@6AFMoWipf&C~t8@!(9wJmz4``gx)_|L6rN^eci#C zTElQmTA#Gtm)(Mi=HoBF{-6>HeWastI-B$L`F9wTg#O_z0NEw*6tc}<^`=eb2B@5J zp~z*8zr&wL@8a~@b>yfq#PU>GJpO)RXj?aK0%K-JVICK6?Tdp<7a6r)O`0o9^H@@w z>2ZW#T6t#F0KMwQzs+T12=xlDmrG_nEf0LvYlVSM6C8u>=kmxTCgSc}$0hUqFyYJc z`-K(k*^xsIe+lGNmnO}FAA{c!mwmzc@CpSvf!LuXBrx(TGeJDr|+1UbqQG9 zO}0xVFUbF9JWj`_J5=85MasavG+J5<8d?{5wcV)Zn4IkBh9~G7a7Ra=;Fk|<+P1!r z2Iz7Rx89P7#fFLHD1>6(ZJz-r-Clw{&t$ytJ`qy|dIM z#h8Ym`;SYbAe4{-u8wf=6OWP?`4brY?M)fv=4?!_u&CVDMfwZM@5bD;YOJNYmscht zt_IY<>gT3!V9h*?qJ7A~z&2B6{pgmw!3_oS2uLt@;8Bt)LgxC7dFz>ZchdgAy`ylc z;>D(tI6a?LNmc*Y=A}XF^(eCriUzad$R(8QkF>PqrfNPEr@oaKKthEipqcr$wu^j8 zhMXKH?MO>YX=0w3KIVqoGWj&SzF*kmYaCYg8#|uEDf8dM>+1tx&YH6UB=Z?s*-W;S zE^*WN)Tvr{Tb<01yoh>{hf?Bp&7Pq7XunzWgV4)B&0q7Bh}Uts5F5a+-GXF zqAIW6_gTPZD+J8>XR46P`mcU8L5hrN{^ck(V3~ivNVEj*T>z7#QEx~^?A`3I&(ury z87v`FmmCAq=_;PRU9hGcPvc2gv5|m(WDrOyraN4~+XkIZyZY=V)WmcdviEV(p?(Cm zF}&6Nxa3LGv-Rs1aUq*U&HjlFtM&dLRIEFJKDoIBHyKmT>^4GO@-uEG?)3b3rUWkI zLQdp;eY364>xyfc9f9c4rvVL29u=p@T9OF$lfgieTM1Yjz}yAGK78osF!^BQ%hS%wa_bJWlPbmsNk~iT;15WT#xg}19PPVYnK@Ug?$Gk*=9GR zCVIV;MtEqjvX5pt3G)OfmP0)rW?Hf*7$|r+0RF=pMc_8^&v(@?>SNftcUkK_9&C#{ zPK|b|^PA-`111aRv|924P5e!v*~)b8 z+r9!d&RQDr*<${)ligJQKLlVcLZQOROWo#hiJD<+h3|g1uk}!Y%eHc-9#eppvu>-P z1X>Eo#JJ?On=nFNT7ZWF*!56k+p7bAAUXSU)?(xI`KI;-{K!t>haPV0}X=GCYrdu9$ zM>zJ=6=ug%V;GRgUi-a1`Y{-~)KRf<@q>|b(RI7nYsJPl-a7v+e~&oKTUCwdg|9oK~FX0aC9`qUnKW`YrdqSU&~cCS6KHqKCS)RkujG976bW! zlFl~Lu#_d--V{~TJ}h%QI$LtZhVgxX69X{ygQTt=7(%tgS63j=la*+^HBk&$#S$^i zYGk|~3QIMEZgjNUTtpijyzAjMIhe{N7J)AZbb#knZu#stM~;>j=-tEZ}G!@C`S6pOys z;<%rcH@sw3mKzd)fm>k9uxXwLh41JHuB+itYo(l;`*y*e-%Y zJyRM4}^Xb5c6au+-<~Mh$QMy}>MPkIfa$)(<*tUUacB|-TKAkKb%B&qnLojb-!7ZvgbLlS8e(}R%^h***1Zm8G}LB z_iAXknsu{2Yz5lMJ2qF=x-&e5bBXkvaA3iIIR-UD zqx+2iI?T=dX?^Zej3!9v$!44vS#=%hj|*i~0;-(@<;PRli50H5XEUcdp56MB4%1gg z5^^=7D+1oIt9rHPQPnYp(CG2)^Nni`KI0Z0P`%aHu;$a?*`P*?gDFa_G^>eG3I7ag zcmScMY}$~E#oOYs0;;zOUn`$4W9ZzsGpI{nBISSa)#*GN(oBP&)&oB{rwtl66d!RKsRDlt8r#?MsOki^eMQ zA(;p~S)ZhRr^i;_*+a&NJM59dYE4tfB0LB>4obRY`$$8h3inBj9`PNjXZh=e_)+Fj z_0VVvvekZWAl;mj)3SN>UXy@5HO)qpgr6X2Z$?p(UcpE*@pY!I@B|SJ0XI_!tE@nH zu1HfqqJ8D1CX!^3{|n-@jFe(bQbkm!*L%9g3P+|IIS+*}%)+(Bg@<%PH7@JNfO*mt zEzlg7$Nlt+i1@FJgic{!P&~zm%h?pw$nEY?h1*eVjl0jdiPz1!L%0+Ha02HLRVdR; z;v-vSN|eb8i@`AF9`Ty=Q`0g7RV(;&Pf42pbDW#jq*g9UYx^GKSRA(QA>qY6pBc`W z|7CF!kxP20u3J1$U34ksFe?3vnJqm0y&*2vCa<+MxV2Pdr|km0OCK8KG~Ry0RozT6 zKq5>cQkrYJ@Lifi{A)%ePmuty;6FdzN?WP&Q^tQ~V(k6%y&4CXx0X|naZ$uDJQm7; zKcsi+Ua;tc_%6d^N8ahZ`yN&{+0dx$){2z)#ops7djt)J-SAA#r1@4|D2fnUL8$9% zfQX-vk5LOd5AcBA^jLsT;R-6g3_1310ud&Z+&Glfo{aAg|ImTpD_#*?qA0=WcfXs|}H z_&@Wx*u-baAik64*`yARI>H<{3Ph>;m6_fvT*F{h@AiNi;MjPOUzMAyIXGPVf@$f| zpRr8!Su+p59NxM~&-!BqaT;&2BA47=!*;?e3+H{}d)K0~l!ij603oa9I^5VytFHBVG@8lFdhDpmqkHag(w_->Te7-vv@Ij%LJCB-m-s1! z1y(_ODUuNcGs^SO*^m*ybZ-};^5e3!!jsAFy^yU?taAZ(sXG(X3p#`d*Dp&Xq-ukf z%8iuiRoy}%5kgF|^j*P+qNP3&x@uM;Pm3AJ>-`~hHE!@YR?;SB#;t%V(EOXI22$PZ z)z=%hcN9U$cb~@%diQ*CO*E#=)5@C?k`~Wi%L2h3yy=8F0bs$7;|Gp&N_&Smi7S5V zi@y^NhUqU9f^tokuJ7@EzMSG9x~NtHaT^c=C-x@1rOdF$z)G(=&q5S5n~cj!7xJ)? zEb*cudGRb4qQ^`g_M6r0XFc#5#-1UJEB6ac1l+Z}b04O=5lN7>-R;>s7*+;re4hb2 z)C8oIjG4kuT(40`xBSBt0_LvT`6wB2jnmXx(0<3W7rSuG>6i>mmXcLmOdfGc6>wcr z_@Qr9=@+LOk6R{GnSqo+{;E47?%$_C^9BMH=Tfcq_>Sj&Lcp;>)fe!siFRjX*qXvF z{|y`(TxQfjR1_3hjhWqce*5~XMs1MzNyhvZXwZuJte0;7*Ye@n8u7`}ocx+@EXNm)U z^)B&q>EdwO>+22M{r#BL`(;@xZkb3HS+aVZ#Z9-au>ZAfE=Wl>UQY zPbvt4eV9BeUzdLuuwM9v25yDnl*G3l<^JVF6&ytXQc`3U5=HXVduw#`{lN6!egbhY zT9k@IoSZyl01%!~ZQT~zM>5$1Vs_BQ))RTY`hT=#Lg*Jq&(QAytTLZFoJ0}Ai_m~Q z)5TqGj=V@#HWT-(|4`|RD9nc`ZZ={G8Ztl;!S=#K-1jp$&W3{Io9`gFY~FJ4FrJ7V zw6#F=pEn{`z@Q4c+spZc&k-3I_!ej#@*)8DAEu(*|4T==ItCzHC284^aC76v5A_1@ zRBCGK&~3G_BEc_$>(PiD<>O}4X|EAoRevR!Y&N&ZMm0X~V-rMlQHx@bAggG^1`ujV zRxL#lxGHv-+UH3Q)walzknu7jFCvg=3ahvy0hXl7r;nlDmiABWpdV1r%~gsf=dN@A z#=8f|2%woszRD_PZ0WpkNhI%V^LK@x$kF}J|%z{7X!pL0OXz-Kxr=3YCw)3dfT}fBQPE>2O0thc9MVqy4%fq z2q0+m!V4uQ`SXYK3gF@00+MkrND_dI{z6j(SZg(a9Hug@3SWm|i9-T+Q3W)6s_xzyv3{U2W#@Z^DieW0eEko&ac}7>(-0 zgHbax4UAQ~-AC2lYsh+5!D*|1R>=qQf~sYxFaUOWy&8WYE`c(K7tr|*cU47M;U`=L z+qwlc^AH1O_+JtbIH}sO#60dw?mVAj``kDn0sab;!51@KF9MC#xQ&b^l+1vd>LeaB zev7(r6{-63id5p)OvhQ%ZV%glv|~ra&5tfkAfsSJiDWn&M3(!AfJ&A3F0oX*I^ap% z)QH1EzAzynnWwPGC3cz>v!=-)_a(TjslX9EC98Hjtpn3A+W*b5D-FGsTsAvc9TUjXfxS<=HgX0ogo31_u*|ovgpynWUDOZ;J=N%<_Mg99-Sqxr>U5zG^rA z0(kGSc3jeca4mq}1Q^;Uukgea^7Hb}0hTYb^%7f#EEPa{f1%cA_&(jj0Zrm!&?E95Wp-6H6r*xlgI#w4lsP7^#CWCswG8^+9A^L>)x>+j z90lgxGW`8D-ps$G@IHDdL5d`d4sYSQ^eNUWv4e!7BopyYosgxp8s;y$C27MmTOVhz zk5=SG#9+qbZ6;_m8ZPCaO&Yi-mP69!9{bMp#z6^3HT68Gn(ccmJwxLOXcl?tNr zVE?r9GatVKylB7_%8j+e-Zcl;sab_lj$-}rC2h9j`cADZ%S9mchv|=^bE)O7U+C^t z9bhs#)&_Pfo(C)R%7tuaSoY%-2)r-gFz^NkEuKmhYD?mPjE`msDSwUQb5eNyEGpP? zIlE1EMlVt^Z_9E15We;~ck2-DCVL}DmAfOfA_7}aE)-?n7)zd*T3_)*&Rm)PdD+7o z`eF1ydVJJVKup6$`gr}89jBC%pd8TR%vR3NmUlXkz~-eFPmRCNe+bZL8f=u3%iTTa zCf87Gylpj0D_bs8rcJr(INaxDy8k_)q^lS;k1zPjc$<7VO}BNe zEn;kLW~O#l%>ob-#DaF-%CSe^Q7@_X7lS$NyN(Oaz@Kfm(^#{*Pd{JmFL&7A(r-${ z!wXhvQSbHc>Ip?bQD6JX6e@F*laC4(5C=%kG9xZlSyd3lgdj<|oDH%wvdKos*Oo=* zLCQD#JM=nhY$3f-yZk-E4HKees^_CEoUwNy>90sMrI^(HN7$1+=0^gB*v*~Es?>=D zbM~Wzra<%V2jA!CvyV;qykXi&-VNpUT3tzs?e3n;&ktJ+z%f{5ZNxmQ;%w|9)osXb zP?ffkQWct~UrEq#kA85FMS}5FGzT}b@6L=ZjZB`FtO9jysy5_Wv$ieL6OgN!KeoKN zuV&9c}FdWe~5d^%C8q^RqV{haNM@LsB@!WUm{H6l<5xpoOv zz4Y^MRhVcI-({WOMj3yt+RwNL$p<0HTW*V}eL2^yYSZKI>paa+Hbei6(^c21e zmEdJpQ=cb-%ZGXff3tO4k%mc&KaOp9LU!u7JHn}`b-Z!d6mbI)5cm;^ZB4gX5R-g9 z@80meN|9~aq*)F~+nzLTBEP6O15m72)HF1&zR;KLXV(H)>ZmF}y}4GC-lc{A0OWhQ zmlI=Hr-}az=x5Yk&;MW-T^@GZ$!dCO^wsuQ!T8}0W&>&dgQHf)o3tP1@|6Jj-?f*R z%68t{*N1*zy8a;-m)Lfxz<`EaI;~24Ux0;^7$lq3Zf4VayR7GN=FOJYCNShDSZSXS zf>K70^EIc~0nfSanH;0|_3N8f0eJ-nV>YD5qJw(lrhz3*demzs2 zw}M^K;pzpH8((pp7!je$|%>4>zvfyJ-0uX0W`n% zcCSsUgTvO`d`=9i23y)Lm3c1#l55OQs{abpWUa??0);RIQNX8Ww8L^_|MbvLFOj8M zmk)_N0)k=S`{I}Tvv*h-%=a7e*~k&Fpl51u5%g|8r4H5b2JaR$#^$(#x zJI_R$MQwogtuw)%lb1m%M}6w`jPB#pwsHbEdIE-zLXJV3m%sC^n9vpdlWHG5qrG`} zLo&y$CxAjK!zZ1mfdjmyzGI6v*T^gnMtolg9(%jAC)w!D-it zJabQtl5KLH5C)~v7pZiOItxrd2*I>wf!H%LsAv80n$+?K7(mBk7fdhSPzeY;PomqJ zVD=#+)+fkU<^>KL!V|^B_|xa1!jOWxtu&hAKb8}|5fqa}dtXyO1TqOyK>|0_B@{cD zX%#Ro#p+iE;_U{Y8aX>ppd+gEbL9w6s~*=GtG&BT$6pGbo;v%fwQ09rTDaX?B<#Ks z-{N++44-m!%P-x0r@5Ie*4Q5oPpW%5YY}2GHG0mEf{oAg~&1C+_snIgsFHUy?u>gLr>xBh!C`lN959`%jl!` zE1jq#)Yr?6Y9Ny(chP>NLvH{H27V<71k&%@@?|d2GsT%wVkR1xgvbM@-F-uRrsj#t zE8v`EIR$*H{f~5iJlxhDy6-H*1J8Khv_AEbN%PVRI&PRyTn{D~KD^?%*FnuxV^R;V z*?A`I*DimqZP{JAeo?NupVwWoWKxf=xzi<0%xYV!aB=;OK`7y%I;}wwX-bc~ik5Q% z&N31A{V>6cbowYov!omB3x<8>2}lB98LbKrY*0kKe~B`VZtj}|J3G(mu7uAdIc9h~ z5lLm17YIRV&n?rqbp+hipI`a@@~5Xz#&B7=H=k;5?q#cd!E6(IU!uN1nidy5cg+gH(uXJGWAyhMEXjxpl#A?I+Nd!Q^R?MtN7ViKrKq<1$H|kMQQ(qj zq+KUOvdnlU;g7Z#%-F%hOyuF~R1;uyyVuQ?)ZZe!zfdS~G)kNPV}5+CsjDrsSdOTh zcFS<+vl>2LX!7umjQf5Ep>T%w>28OfYdGTp8k|hCrXZ^r9OY<}HHZ#gllg+ui)}%z zABi(foYUm}7#%v^bEtvBz5}HP4)Zrw%p<#kebBpu(!xJ%9pTBuUNM*gR)RT7taqhG zO=rYh413W zs1&P2O=D#`_93vmi(O!>*bOOU?(k(_x1*nA_KjHvXmGDn+|Iv83mlv4y6<_bJ~hHT zcn@nl)z9V_sWGg19SVRwDln?o{ji$`^oQWhhu^Q}6E46&=Kc^uppZ=h?83s?RijkJ zh$Sgc%uF>XY8;E;oDv7|rZYwHgfB@Dz$v#z4F|o`{^!o22bGr!gx`2VHFg zkGIl)J;@E2aF8E;ai-Rt0pJ=S=>C;%gOBmSaX||9q6rk zqn&{fi30%UGiOVqyvM-Ct^suV3;Twz3ysC!xn^D9LkkQZJZ=c#AH`6mzGz&}I zVsAr}XfT$NHiygI?P(?|w#tW|^;av9rb*lmy}d3jV0=zPtP4tCt#mRc;yF7cfwcxl z8&Pr#d$c`&Z0U&0iWkvIOeYK3wm;5{&mKo&>|Ix+ww^LVe3SWb{qL7@5?2$nc0l92 z=RMrR8r;VjKl_%;4}R!) zqoBI=FTkv0=hkyqK|>pq`iDTTAZx7R5RMj^}KK6Ffc}XKZ+x+S6!xv03_1wSVQZ z6C}sFo~=-*Jf`PSmlXFv`vhAUXnoL!LVoFWXp4GhehvFebG+MJB0re6Aru-dDOyq8XT##jR?6w25z|shnU->Xrm^?Qv%(UuEbZ`wC-E|4hm~hmwS}6_ zfvvq~VLq5*x#_f2!%Abek|DpOe+<}&UFe+c(i-1{{c8CjUHnQ1ogB)B9DmveU419pLN3}|Z3H1oCITZiO?=QEUa zbQbw+pY9`&g5!f;%d9;8(=gs57hRD9P$~0rk$9{)pG8`y=N z08uGTZ>T?SIennpKsW1_D0zjw$zIDLKeNU*O_2I6E;mPUcutf&WMms)GN+!Ro^k5w z@%SnsXsL}{>Jf&CIle_{3aL|dC6(;!l0jNgakp6Ydbof^`Kr+-8pC9by3!*^Po5#- z0vlV7A#d!SE|n(JogOw54{^BjiGQ&0Xb`||$AqKrmq~$e~4jq?7-PW8}9SEy0P^QeDmJ3Hy`7?_Y@dK3Y zymdMB53DE9IW557dld9MAfDb}H*?N77a0Y~zisDBms+uqh~Pbsk<_Y=%hT@wy(D zwD*q$SH!!>Op6Ql8duwfN0`pdT&o$-jeDFgb?0Lcs2Q+b+Hom8; zXzd0tt*<%(eWhnmjV*A0r+zo4`E&_BJad0zrQMvlCC#f;!JFFq34cxm{e67<&{MeuHl1tC z*RZXI3RUL2BO{5p{aPOOMA~5C<{Z8Tnm{fy|> zi#I@xWcXt-j)%h*ya|bBykw$Z-yIYCIDDFwT8XEDY$HM*%ahVw6G8{o5!vmkUO{uWZeMICu%iu*M z;0yMJ|Is8tt}c^O)~}vR%L9xBGyNE$xa8ElS|@LqqRRnWGVj4NJioLs4cwtU76FJG zHCnG$6MAvjGRHi*;ynhlMQS^?w9WnO95 zPBbzsS|(4j-v(TB-&F4b2D&TeCO2<6mZ8WDu~iagD*ouVcw|j{N_-m-bT5LjaO5aY zyX{(@BPrPsn_!bOx4GT&Oursx>+|~GNXfWR$*jX)s4d(i|4=`BPPAV$T!&9h)-KWA z?{n6dWw&d~uoL^NJMc3{rtz>9!z%1ayY65hirj2Tqgr2P#v2IAqgnH#@~V4>s?eiz z=l^Mgyw*JkC`tO9B1u7>MtHW(meXvjhd$ z)ZrB%&lSS$xKnHBQk64T%v^WI(r?V3&1%uOH$F5o-#Cfu^cK^nme#ulKp+X_S>3ey z4@N*J7b4A(GVj1i3o>OVa*_x0ZfyeV(5G-QR=73;02hvhC^|sB)4*Zm58A*$oMd_w zlKMnRgA%qNPdkPawVORn7}N6P?ce3_DOhRJ96npoxlLi}K2Ki192TaNQ3Iy*2o|+#%U*4RSRc5Ma7Qp!$({&44W;@XAdb} zzK8|Dnym)!r6K=IEZ!5GIna)a6X-qF3Lb#c(>im!@4-+mmQK)d!YvpV$x$?9Kk^O{ zINye)_tJat<0XdUB}ZTrKi z%0Xrk75-abQ2hBRxaJgR04XL*u9Mg*<3Io{esw5WE++s$p?mS$pYSniv#i=rRGv20$&14uSAY#U}yTbc=JmI}3SU&t2 zL2<48QK_7t+u|X2RY@y6S{O)ZPF<3dtaBWN)iC1~NdCF_q7jGoT^gcQSmE4QNtwzl z-sB6!u|ys@$Ps=1>lif3L_fzY5lI>1;VPZ2Nv>MV zh$Kd2HfE^jwSIT&z% zM8wgOViPliH8aDyxNto;;(;3ggNsWg;X!B<>)9S4BxLuQJr}ORyR?F+6WF`s{v=G7 zEUbX)OK~_p?8gd7<*72;853I#VaawhZ)*yB*dQ*p{k_?^B5v|o5PpE!66;r*r+RIt z6b{HV?U4U<1XvTIyHtI{44vDTzhaYz_iEB6zJX4Xx{ulMDg}88DTpx&bZh5jwZNX3(D9lGO7f6?L>R8AFfw=zHC! ztQnhX(Zdi{^$=&0gdA) zQhAEZ=YP?0m|E3p7OrA+1tpUnTtdsK%Ctyf9S;2Op=;NdC)0ZN5W4BfCxgp){@HHp z8b%6g;kSXI5$60**oP3jrF=kMs+Tpye(QX!q5*rA9oN%id7NBdrq1rUWIl(Ljb46H ziGJm2X4`lxzjpr?z|VX0RNhn3SRkV6c`L;?8Q=UeU6vzU2r+WN=jkUJ)!hep zY(BS6+`sj=wsP!d-Dwz{?D|cn!~;Z?YI8D%H!QHct3TDLjv<(RqUf@T3*nmjQzzz0 zzoaWRHOG?V(}0z!Fz^$#P2*-!vi;GHdm!>;B+*sc5E@QsrBM~X@}%(z^oRKR6TWH9 zmOyc0CmDitmC@!@qnDhv_t_L{oP=p zJEY@pvJh!DO?El}#<-rOct;d39^<#_b{KTpcoeNPc)*Z(5V!!Iv#H?aOt$MOk`vR; zrzkL^Wz}nq8};UC#X6?Wu~NhA@Tw=s(U>?_3O20AGx|H--mef-lO1dVDbLflM0kwe zmw^0nH-;r#wTj%&V9n2m-9;!ACwQHBJpQ}}CwLLU=_$8P((YoPJ5O!=2t;sn7JGF9 zbP;su5HGN3a@;yh7uQ!bvr}Drz%f~5?z?}i+G?f^YdXzX-|#WCJ}FRuh2oE#1~oZi;2=&;JEXr{;Q3qDaYug)0<7j9&3 z&nN@LLvbmD_W=X~x8`Wm*2Yc{E&Q|l*UA{GRhKQ!7&bHpljq+1J|Y|d2KV7|UD3Zw zzQ_It7RyC8V-;ERdm7b#!B$4GI%Mp+S%!LR>YcV^-`}VIY)}xN1w35|DNU|8>>haQ zrg>{tTbu$ybFHZ_mLeVU>P-DX?>excUceKjI<1Ju2spRl!|uUV~L+>aZP<;C=k9jH5v7YE?%%^&9ApgnjzlJ!95x z?Vz2f>M;MD*%NyHm`3n9sQazgw;5Ur9-~9KO1tG%E^8t-O(c!mYJX){a^4_UeHDDm z4{iaa>W#tQ$%lU`v`wWuZ(-O%Mnwz8q`dQ@G#I@{1U}CH%Cg+9ji5qRqH(|VTO@Ei zd3y~qPI*hKCI1zR0%I+-2g*V8tgSr!>8}!_Pzi3h2R_-9$gYBtX2d+9{&qIdI}P=H z^hv;4F4-s{U}Shof{w;IsCW;reJy)OgMR^@mtA$dlLuX*gLhZ*Nj) z-C?D@!p;K%pP(LDU^F8mm@{sDT3Q!YjKqG!|0?OZ84o}J{ETgz!c!Wg8P7Hp?m623 zG2s1L%Ptl&8`>&SD#?(P%AzntWDvo1B?DNB8#7+){kRPIbpJ0J-z z?}jdWDy_YyL5=BAy5q=fE}o-0^x^#Ifi0TLo8X?1C*f*@qw2bW{gObtck@&)kVZ)r z9spQIi}+>l$Cb16iPqM9@BQ|r)!$>cCXj4u*U7`<_ld>7A*f*@MVfj&NAo)u_b^|hG3o6_y3c>+CrQ8J?({>w zYy|3Q;Y)n<#M#jDPD8VDx7ldL%wzWrBvnMLsmgemKBK_-Fw)Jc_i`W3{01f^c zz0{t+w{%s;Y1{|dVF{NLR1G1e{}wX8S5^lUugH(ZO#5ulYOPV>g}p{fZzuMgHAd!r zhI8<=y3co=9(J(d+c5BdLV>ePPO9EJ%*$}-SqDTCaE&o@|EP|r{ib-=Q?j7$%r%wL za-Pz#1OHcgH#XKoC4Ee~80t>r$a~}UNUJRQE+pZS43Z$3Cd>22MP)V^&nKg{_vsY)egAO~m{ehmC zAJk$$#FMAkrQr(h1OWuX63$)bt5`Yw3B8uu1lzU8FnEEsEWaF&2DN%oUTR0)+njuV zQ5BQRDpMvl8W?LNrvot zTM)Ri5q%7N>fd*d$v%pivV@s;jMmlYlMCey^sQ7ompU%sWNHmoj%r^3CCK|NEYn|F zDc@qAngU-Nd@`l~kt##1bSKBHCe!>GybN(WYT)*Dd{7B-ct{M$^-Rw%oMHNhb*KDW`SmPwpMo*qN5 zW$~FZO2i_mgl)}trVOTGzMiRlodvqqm$kK2~Ufwzw&S#3M?Htx`kV?23so{qX`57`v{ zLrPlzUzq62o7Hyx*vy@P6pS8Q@#QPfx;t+$M~=}Q{CYKF&L-G)xJ~IdJjVA_ zfe@(Xe6OEZGLDX2_*T8ijox^1)+!ztQ`;;G&R> z&dO501Vn_C4^we29BwosQXj-EitJYiUHQa*4d0c}3_pFSE55I*>7M!!QOsfApG=Gz z$+5!Nb^#-GK%!g|xFq*bulHt5$lUT7GI4|+Ioom~5ZGLIZGxH4x7wIAqO3Gkx*XLw zbr|@tBF;}9S#he>e6P9eaMZluo`{Kh{mE2T%{Ddyhz`1*F zFv*;3Nf{f3GDf*lo+*cbU)<$u7^`&(yi<*97@o)a357 z0-9R(A;@wm^>;B*ZmWK(!>N1U4<2>PQ+Zn?exrRsL2w+OpDw)U|E!71yR$3j8}Shs z%a9brt}|>CEq^TY+S1Zgs+QDja-s~{VS`rq_Je3n25ii!xHXGB#!4^NoS)&eHg_L+ zq9v;4vZX|(gmwei0*`EtsGwv z&u2_+$&mljTU!8<^BBMX?CrmN^2b3K>Dt1q+tKItlCu?=(Z}{@2X?8XM;WC3+4G*2 zk*6)1ldUejq@r-(6iHFdK+Z!}rzuMQi%DC$zJ&o3nY}urR>B6YM7Md4Sw~EabX+h;f&UVkH*73z+m5TB75h3 zk(M#7-G&z>f&d_xzK4n&Jc6F8D2RS)9l{j1uYQ>&+%>eMvY#?$J>7`6`#fY{kB6gV zk2z29p4B1aXUQ`eEcu5=Ej;L!mNj0eQRCz{*G9)!=yodX_p9uZVnxKJ8T7|l?}VSb z{{Bmwek>d%W^~i`$|--mLnzgp8?E$6kak{$^>KfKT1!U)vg%oB^=(7p)1&xRxA_my zmu$|1J^s=ZcHjO9I7MoVPXzRy7Ikci-TvQNT>ma6iX8{4P6$)u^(~I>;kH1;nee{F zyrpvu=AIt?$A1rT}9+L$|MOw@mke< zIZ6wqQ|8Rv5P0J2*=y){Ld(P}ZN_FtZG*m-J9x9_(T!+u_)_qPU{LW_%ugB)&#O{N zr`uib%?)RnoBa8nyV!)^!XnhlUX-w(f+TL_`mERO6mf2hq2rWmzI|um^RQc6MG~=y6Q)Zo+hul>a@NbfJV0DMp6X{#?n-9#X*hTSQ{$r+@B*(f3&+rbCIT z0wyXtZL7LN!XR|ut97^nUzyS*=*l|3TcPB>8s`7 zNWaZLD&0Agg{$QSY*swm=ZNP-BNR+>B?>F6!3yLGmnHkS475#V62+HQx%EbNO$a)* z;a`}0^Ko!QJCqQ@4aR6Q6=5sNmGW_$H{ z?%$P*s1|%kt<>~&la;vM*nYdIDbYOZ@wy2=?BuA>mDTp+y%)dOtc$EL9U>ztT&gj3 ztDzbg%%r@n%kb!oGQp8-#F?YfE9ohe;^$T^QtT~8SQy{*m44B_88BnKWpk7sS5=>9 zfoi3Os}--a7C|pb&UIgD*JwcX=gawe1)q#Pr7ND9TJo5z?&)z6;;mpLWLI(2iJ?%H zPPf+1PG~o)`y&CO(gWQ0INMm`am^XqD8yAoSGO_JZd@CD(YP0Un01}n!cp*@cRbf&yJMR++AD8gWqeRF25N+(b7n@>gK zj)3b0!zc6Q-{~(1iB64sJaq;Al27Ql+8hy&=DE`1LZ_Z9@@IY-v*-I>e|QzrkIJEY z+re{JYe*Fexkvs~{IwIh5GmLxLm4vCN5Da=%VEsF6kksMd*Xeqadq6And^ht>i7bs zEtNzLoXAHV;`E{~NF_V$D6_u*3i*1J>pAjV8IsPpBGX{cM=UzS&&FSwu^7sd*?H}; zo_cLAJ9;Eu+$G3eb|K#c_#FR3vGX~@Tx{|tB#O6vo(Vk^XxJ~RmZX<7U+we$U}0lm z#{bCSisOb5u{-o;i|nIzgv&2iJRStBN1|HhDd_Dxrh`DgPkrMAv*a3S8hV~2GXA>l zFUK!f3(FldVk3$&q*$!)oUI&d> zn&K4c<$V+m!~Z$G`L!YKsQGOZTHa_#m&bG7gTryY3<~0zKtWS%^)nueaj}E6R=1cU zE(eo}uYZns z&`gCN)Zk3Rc!&}!!ETC^CtmB<@CqJ@=t-tXsTM9P^60;m3x4Mv`oa6{tp@AdZFYXh zc6-C~y(&+K837AdT9b7xoqg9I>&BHBQH97sBB9bVbtLp41ayt?BGo>pFtF7P!i10U zzTDas=pLg`6KAxSao(u4`pk%)dP9k0UBYvhErminhu$jHbDE*?Vegum)?kd~vkb5j zS^big3j0T!YnIqIm_Wd(C-xrGsJ1o2+dr){a)an!u`2PL`D?r*&iD?drbu;eV+lB0 z)@5S}4h{XON4i?c(XjTH}tUaYgs9{6aywp>nmeSzAqC3gE3kG(B$(1JB5y$UOuheG2 zEx4|o%B4bXFC4j=sY{|{GI%H1l4Ns(^Wqn5k}_IWdUf^)jVrE}hueB7Na|3h$o z=Isg(yW@fs%M{rUM8jcV@S$$%OFlQ3N~6$=$<`Hr5&A2j-xl@zXp0*Isg zfQ(Yse{<^=%uE&ekwrCYt{#Y20o&o)qi3bt;Z={N(;qk?ks1A5$N#d)rkAT?KC?K^ z96J(^=8z>V{C-$SKW)lE8%_K6zah4V_N1*B$6^OEjHh>eR;y~z&(7CZt0Tz0^WE`M z#&hxy*UybXrGWZWMHh-!xc)(YL@(5rv^j8Ncr$1P3Tl;@_zEV$j4H*xOGS8=^Mu5i zPBai!1n-nQZU*H+l(%4`Q_1a*;zt9$```4EwXO}oh^-h47B3Kg%xE`_+bi*09xu4^ z_FJ{B0*}fGTEJDg2@M}iyJW)?^5P|Jj{GGQGFeC^0PPsj+B)mVeznbGBJ*$N;C!{% z{lzil(@~C%+8r)`GZ{-@i9yS+RLrE137o#cel(G^?DkZ%4pV0?(h|m!ty-P@=MH

orNVV-Qb)Ggxw$czCh=h!aooczW)nSFXTS|m%j%ql~kEl)()-WnnD(D`-5 z^27UQCF;TCeNH^aw@D0MNVnisZSnWGpM*8IU&`^j0&^*?sNQB=(p`VTY|`f*C3Ul&0kAVdXBv>tr`NBd zLG=b$g7m3|8goa*b1gL}J>q*h?AEM?#Z?We%_k*QAC$C+pX zACUI@DkTq5Vx#GRloYZoMtb`okL!Q&s`-GcP^xLMFyW&FUQBZKXAvU>1ap%$^k4vX znCyfX^7gUrAq8R97JHAQ`nms_VfKw-zi%!&Tm2SC(5TMpR92SCHZqa7b51;I{Vc~B z8BzS5g(_Xuh4@U#?;w}WYm}_x;iD1iRk6=XB9+5Rk3SEELEcW(?4NzSDT~wauPEXX z@3$)!*k#%as{v*cgg8Y6C)Mn7>Mw%s&thKD-)>}a;>7QQ&n zzHKATVJOXUytf6RK~a5v_i$j~q1Tq?0n*mLv?uyIRV(WVLK-;xx0X%Y zEy}gLNV2%6;YE79iZe+Q94cg9X@bTh_~M~a6d*R-(a)h-V4DW;DO#HnEgCqGf$K*O!(?*B@IeD9HrRlwFHp3xXzSZ7}MDS)piF;mCP=C+zPK zd`i!Y-gvh6)Z`r(ZmbTxFHA z_W4{p4X0hm$z}FI7>wpu51+sh__`s(iQhPM;`=ePDU__oQ5L*Ej-HRaLbq=od`+&c z>nuF5w8^j*5tCumZZ0#+^l6TqILgperudc%_W+rTjD35s+A#=&51RaWWfNBZ*JJ^c zaw5e=_adV$HmrsHFwON-OrAdQM7t#wiiok}M=BFMacXP*jziBt*WJ0P!hfK zmPFDn(nh}ZfIFhin6=J|4r^Qf=O$rS)2{L>QYPrhx>JNqx$)(A==o)xbJyedPZzXoBWGZ?O&R#EqW zj%+RZBQ**TU1kgpDtwN75qvuS&AU>A?}vC!?w0n4yrjy0!x!YUq5x>}LO*&_U&{NZ z5tboh=E#WgG@cei8jXj!n}#y}ueWnij7)w)e0t1iro zovXrH$g;!pqUU^L5>~Ma;B7Fi!t>_D2Mo_gelF*(sXSAAJ>nHs1nl}zDS}fuX(IjH zUoq=F;>v8@2PhXA4jOqoTrSWk1D0%>Go2_bZiyzLIp3hC8Kz)9?0tp^FLF+(KIn;_ zF0Fr*@0v$G@r8WiqY>neQUmxV=ie8pr4cOUd{5jcQSXri1F^eI2I5qwCTuUmibYt7Jo zQ<@=?e;qY_d6}1Msv|id-?DD~&Qrj-Vf%!QmQ?Z2egdRx?KpalB6Q4-FCuI0Rp!*d zy^#i0d%yhq0trqYfvO#j(nJRquu}ewHf>LxbhB1LCMV3z&x_`zi`&zOB!1xv5h?m( zI2uKJJC8VWc!VUcayR9*==7oe7rU<4aL4YyGB-9EUQubz zR2d^F{(UWeKj+@G56T5u2zv@t@vL;y68lX0feW*PJo!z3?yqwBZ*ggw!eq3WzzMRE zinT;5B%(Ljw!P^E#TC$m_arC%I<_Vxq&isB^~!jv6jltkwTfivE|AU5H)2u`LdI`UCs3PHL2n zDiV5P8#HCRbfcL?PG%vxfj@Pn?=wGMKH1@oxS5#c{kLWp24P1~`#ab?Ixa>y`(UXm zd$oDq+z3XC(;Q!S7#}>U=fzF^eii{r5TZn#fQ%|7-h+F$l|-r*0a{u2!GjS0;S^#p zSFO7n=v56y5_p{d=i;JVnBn5rn+J_3OZF@)ih=fv=>z0j`{*A_lZNOIIOLz%aL7Mz zGaNme{mG2+JhOPRt9i_SW8mn~?BKgLJ0VUpI<4_3+@~39Rr?xkIliqL=O4Cc&w~%< z?n5*gCT%jC`(`TfBQi6><@wa~xegUE;N4`4!*i|GW0I;6Yca=neOzdpv&Qz}l=$pm zDp&W_aHtqBddl!oXbf2m!n7Bx&Gm~x?hH-jjdeNvJMF;E6=0L8tgS6=wOf}kjv=zo zUp>>Z5WXgw+k!Mw=ax4p?TM3ZD+NBzex1^ZZjGpKT!hE@ANP_W6F!7=_4=FPjldvIoDiSOU+1F3@r1YIV)XP|KO zK`It`lVEUXrA)XWZG}ipnI3I57~B>*Pa~ZFseR8HHBTUkcr&o_it~X)YU1wJpQHZ< z!{uuuN~I*ezjkb*-GKE-gYZGZuvOH2PNYB=mHE(YxpST$=%1?NCJFP7aPG<=g1BO2?_Qa1REe*uKuK>~7>guZe^-avqV20&8y@QL7FdsQa zHAs_gITLKLHm>}t)tY|cpmlE$R*~X52`#POB%(Yz$ZH))o_1udu0nkuCk;wxyI=DH znQGdhL{@FD_sGY^U+>DwO4FO!>Q_uxF`=Jp^Ldz)x8(3)hl$tY$7PZ=TkbAcp zZCh{iyoJ91>ap#;VDD|4^SbYx<7v7pn%;`@E>Z&Vq|+_mfE~vNfO*k1&Q1NkE`IRN#S4Y$9U~1+%*6Pj)*Sf;(Ow~4 zeYKGs$92~ZHnzE*x#x(>@97~(!CP2|Apfpw{mesP^0r9UzMa0euweb*&!`%sM3mC<*d3w z(m>yrFj=IbA`=3>siT7Fx*NJzq|L!v|p_UIp& z{MlaAtX2kB8Uy#3Uxn%#n=q+Vmld(9uLZK%N{Xo?;2v38vM@OG(f!pmFkc4~q^C&4 zFNTN}fHm_6u3}|5Vf{j96+AsyNO!oZxDZ0W4z|>&`yVR47jVHUoJ1mMuB*$yrvqF%yk`)I+#Rnz?8m3k!wsNif^7Yf5O3%V zv)`D9Y>~1P$gKaKQpy3bYoG(K# zZdIRzYst0?=QWG>5R%=)1JS!m&9#%U?maETRYLo?ngaj z%aj~12Jn8*2?pqJ9KS(9(5lZ))?xNVE?AiJXpzVuw)4HCBw+d1$Nj=jQ1bx~HuU&) z+ux6#iSWbEv+t3Vddv_U#yn#^4wa*fVZ4eVOa6RS+QzFBHhkyp5WOb<1uZpG&P|^a z8hgPr#*yuKsDFQvx6^vx=RU??UrfDAV4w_T-@EijTcfoPc_QsY-g3*+Z~>JTrq80m zdaXwj6(OJB)<4V#leY#L$>S!UdAIS->Ecu=(wRzCyQ-7vgRvBlv)#4Uo%g*^?dP1N z27I{{)F6-Zgp8+Tu5SBVbDz@>ICdI*8?tv(rv@5ah^o&;DU|dZE*W>}_nTd80WpiB z-e;at5%G9!%KvPvegHAJv)SeTu&`roGfYA7DHW=zuF*pS=-=u{63Rs4K`&ucGh&M z^M2QJPZ`-g4ULo4Pt`>;U2Y8)I@bG~hu4;NF(0Y^oIx1Zp}WOy{c2O^Q;`GUX=bfF zTqF$`bn1@@-b+oyq3QeYraZN`V-Gby`1zAE64Q1EobmK43x@86vo`azg-Q8FP&RvH z0=%>_j&uBjo<{|NmV)&e95R#jw%^^Nd)Caa$$s#?r{kP);AxVeadO`E(KjpCO=lUx zL8+>0D-U<3tW&QnPqtJTmQQ}@3pH4A^@_>2AAn^rhc_F|*=#l=7t%TJpVu~*C-dpj%0d|*9@bu zjIpGw8w-g__SU0oY1~V|HZ|vPBeHSeH9Xd3*@U-*USzLgl-}Bh%YhggSA7)HcdC1g=pk5 zE+>78o28mtbDR+F_?xd1a(5~iv}8XbTq1(%jc_0lYXTsf(P82*$)m$>{+xOT4CObc zIk91e1R{#%NR5^7kG9V*c4Rq>&cpyJ41-otU}v9Dr)`m)nW%?vIH>ZK)1A_y!cG|4 zC#R05JTZvktI^80^YKf0_mOp5o9isqM|8zQ`G*w35YgA-n6KKz1_~DyW7voGPTz#@ z`v9*r{<+uRuj)n?4|YXH-lypHy%?I%cdxe98>#I2(quMUJdvUeYpZGFygqVcz@@aP+HhQOBA*%eEl; zDjAq;hH$9nF|RBhwEa?-NyvJN3UUO%kza zv}iiZW>DoQ##6U@X^`D+^C5GjFgoAdY@p3iTn;H|Xn*L#`|1N&G=?0(pcg`zmGfEB9HgwqJ+4>QT-5txtZw#fQAy z8Y4SV>si|jVW}}MG)D0}dHq+mp{=vSAVqq8wZrW3@ZCL$%lVC|HSZ>-X}+p}b{e&% zmtEFA+)EaAdKydZh><|ym^%UNX1iYf7t#3}us*T0%$E3yGP4tR|C5ez70=stt%io+W(j#7>+Dkf5i;=;~6Z?bS3GSRx_kD9^K z(6>~l{fbBBXgm{f+7qMRDBy_*$5yzSe zC&^&3t>4!@9m4!)Yfs>5nd-3?+npJ#T(tb1i+L@y-hXukS>Nc!+2HI(Z>+%rI(M~k zCgj$D<+@Eum1~{^lBU>5!!73@oscMdf9E)biC;>O5;$EKR<7fR*``vAXnP$k2F#QG z;A4fhZHbR2A!547Y8TSy_!DGGNUZ^gcV7G&D%chpoL36e9F8T+E5r=Gpz zQt%9W;t|ckhL*Dh?9JQvmkMn{{o_^^QImRCCYTcmNo&W(Lg4-d0ET^#CAFQ#Qk_x?&!l=kbT2Z=~m-T zuf%)3M(5j+Jni#+&SLY9n$J*t1?~JhJ9k{Vyy!IqwD!ce(^1)~jt|FC+vB@#y;@T- zYKggHi$0)raeLEnmfn1rMzRR0%A}0B zHQ-IA%*Gm-T8Y^ltuAiah84LlW4{@d}r>9vGjwTSe!p8%f zK304WlgEH*h(twh^_J*B?@`Ra0$YVSltO|teroWWOS%8O@y+3g3qr`i%Ep++=I_(` zt5!{e21h!5iMfNXiD}jwg9Fq~>$GeCc8PdrP{kQ(QmfH>Qa_}h%kJnhvJ{+-jL@)B z`wtx1Wz@Ljle+Q?l=W%wVWfT1hcXs+LKXXRLlH`_K=11aSlI7oqw zTjyK9YflYfH4JR%4@)yB_)U4`+cV4ww+6g1VGINw|K4Ehl=?WFBccpWv*NqJQuzgW zH${<5-?n0;eVZTqIsEZWXjfBDzT83Yj*D@nrUN%|ZhoCC73u4jg)@qgOGIzQO4=Mm!n$q3{*rR>0U|+|VVo;>MPfPGIuP>ksyC5(&wpJ@(~(K%-GTK)-WvfVsy`E%Z;wO=?#1|}A zLLY-b2e;2LoYv&#*5*p%Ocgy+!hxNqJR^}Ld`_)@i!$7MX~ zX=o+#egRFz-vk?n^0_qJ!OAQ0@K0W-o?~I&N=EcXSMc0yC&XUHlDGAx(5$525#xqi z*J|xh`d$r(9s=h!`tx7e)-#+j`+18eruZnVAs<8JrOnjAc>fls7du=?#U{jPM-Vx5 z6DivQ>4|u6pfi*Vk-mOdGXS-&h+X>i*DnUCnfpkML|j~fRD=E zM4*?UCUZ&#L(WA`JQPmmJI_w$rG5ZWyg8$RhTP09U0X75h9-MITu)?FNt?z18f?t@q@ zUOhdr6)~vZVz5}9=&nY0vS4ML$FbSZig1ATjKwegdV~M~8Y}5+`pc1I8ozts0^vi!I7%4r%Rr#{=Rk$|^YZp$+38)D zVPX=qU&?R4`>UjiLZ&kNxGkLQ9MHF|D5$*+gR{0T(yO#OE>J9$AG&l!8mW6nw_$C1 zoQgprW+#PAyFe?dLgvb4i6lFvV_%gIu#; zb0vtSZ(;}#9w5C%UCp0j$~|5(O=Bc5lfPY3O7-2UT#q-Ybn5fM^=oB6tn`1ViKY^| z8=KSu&#N*Zd5%dQjMC5ZI3em$I;m22j?`c{{1D9sm^G^t;(`Nr*Ck=-JE~! zTLB>wFtsK-5oJJ5K8^PHJ#3=yw?UsdnaaF`RqP7`JsZc%b+`X^R6r6@&a2geUHTuHd@|`VJYvv0zBm9a z$CM42F(3&0hcqGa*$bUZ&0h;bsKc+lZHfhr8}ATy0B`W(2wQ4NUp zl8Kj$WlmVv^BI7XGKFH<^>`J;G_XRu9OeYxt4W6yA?)_=A;NcRI+bo;&_27;^;`73 z8q1vu38VmuH=wJ@GQ^iCE6EB^`D|H|KrUMUCR`lIP(aLzvblcCyDR5~viS_Sbg7nn z*ztV!^&^mp(Etb1(r@SS!%iZ?24^LiqU)p@F2ch87!aB-U@{g<_y#_gQ4Qs}xF#E; z90EVG*^Yc+4tdvpx({AlUbG;Qkwq;G;}np4_$r#CR6IF#+_kq9vp^BEK!dV!i;jDI zF(-t9C^2(%jL>KH}|&Yg|Q{@lNF9@dnWn z7H9_6;26f^;*Me_KygX*clGE&{;J_5I6SkhU*0z^h5+dNZZ?3_rq{S%3`+`H`%4Ai z0Q~pLD$3`($%Giz#uD1dF(aHh_wa;e+bawhz#VMnDALV5=C*>RLy+J1fbU8`&RlQb zd0Y~^7$4#f35!g>Mlw$eWh3K>y$gG%eqR|iQvvPTx@7YjWw}gaO)h;$KY&-3S7>iH z|0hdS7Wc(xG}7)CEeMtD5-f3q@l^2j$Q#v!$;#yzF@|&)7v6$1lFa7a5Dl|m_}roC z`d=erFkN9^4pCIUC6W7?tjOZ`EUnM@EyqHj2uU8;u^F^*L<((H{7FvgSK2yKFj~@e z3gzo2^%QY&1FFZXl^lbsl{Euk>mm#Ivj}0ka@rBKeV%}tRRqA^^8%rQ{L*x|953gq zpcqMLb#&9jPkvMDk}Jne<4ym%mmu!@BtMq|N8uekmE&q|jCzUD$=c{c3zsf=XS}PXegVS0GXR-TKO@cjh)q{g=F1TU;yJ zT-pYtT*{+tBfQ#o7LCsWt1Z=EY| zIXJFSiUF_MaU+lqpsOu6upEAmP3Kb0>6#CkfLF^W)aDiZA|4DZJAntO$@|u#zLTUl zXw@z(eBNbnE%3PSz(uxPzNCAZAwRDwq^bRJpnQn$I*)?__!A|_$eFhaW9v0ULcX)6~Qyo#^f>Iz` zHtU%xmm=oVmka~p^z;pPU%c0z=LK}1uf$I=zx6GVHzMavKA^3bAhK>e%=9kQ)#$Vy zAYChK7F=!iPcU2@jJDidsjzQPv|BBy-#pp$Wm_wE?!qdlgpGJBHr7S#MS8rfXx`ah zqs1fbjoLbru&ZRypb>pHrvp(3X#DQ|QFi(Ku`XccLQVY0t zJg)Y1wwt{b`X|-TAfN%O&$cnnqt1-F*XsoHey42DbRRo-!uSnen;{+|zbT+PGzgm3 z`X7O|<@Q^^34-chAm}GV!lX0Sj;`s~00K?)NW0dvgNzs)!`zt+407)YfGn(#-u?KT z!@dWe4o)B9jv%P8n&;RfozwKNfA-8 zsp{L2knTsnBiZz;8|up>R!ryQsQGBw;kJAHa=%Rmk*_QY`uFO(nV8FsDT|$-&+57W zv*fO)Dno-4QFXY`KZvY=ISg6#`ICD27uO%41Ma1h+=|^pTbtx!?nunC#Vqvkzs~{t z*+_8IxCYPDW9?%xKN&3}GcIwn(-1`VGCdni)!{z=>zFtewvKJ;u(;6Ucm^^R*m|ER ziC03WAO%i(s09m-D0OrapeKZv4!*aGJMWEuKRSMHyci1I=4*Kw)Ac9wLu(^!jef>A z1Fm7ux5Z=NmE#lM&g?@mK!aQv`t9K@(3bLnyJoS!sfaBrx4D};LOkv!A){^(4>4!* z5C7>p@vLE=)U54J4>V&qQtz)+m)`_$Aly=V=R%!P&CJ#2L)!Ws+o%d3zsX#PG})Cg zpyx6UJWp1T1mX8ul=*A?!O2_mr1?2$`B}ys6nUym3@B(vo#f_WCvn8SC!(Xy44T!0 z#9rNkx@Uu0{NDG?;2h&he5fuAEn@b-dg(vq8SfGpUd#zM9OyqJ&i#g|abs+zxckX^ z9lERd8{fq$VcTr&OPjZ*K=l<`2%4Y==AA!(23n3t#!mR#_}``oLqR=s2~-}Rv;W{Xb`Kx$lW!#Zxf16E~D(yWRl6L-}f zj2Cecfsq&9&&SnfY4@w02l$c6-BO_kTVn|jTc^^t`QcQUpY%;4&k=MhKLJXE{WDtW z*LVGlj#~wv#dTufDW4kYC+8JTX3n^JMUVClGvc?OCxNFxoj@}%B~hBDNf;m%2x7BO z`=*@rCpqn>GVR*1=#*iFcLV>xj=M+y%*O`qtK9MZ<0H)gm8wglML$)M{Wop z%4_FzMB5rmKbW>OEHlLq8zh|*LVO{q`T?QZcdoBT^uVm?!^h$2dp(gN#Ok5z|4f}p zKgGdP?Mtl;*Q)CcVY$|x@nM*lRK@ksE%LPQ5?tX#*;M%did63<&M7f}WR6&2+J(Op zH8-npTXkediS^w~2)?=rZ>f*(Gnn{1g(Xdr9H_Upq(=MOirZYHoW5+)u&-cYkc0-z?jv{z|rc$FVTJ z&m-c3GpEgQ3)vyyQJ?mTu4HIp6s5tiuG@9fPiOv`~-0f2#>{lu_8TG=y1*n z)TS zQnAIokhd%REabP#cA3sfx6`=XjrKJXlYp&wL|pc zKu|$mn>DZJ`_Fg3?r1r83yp9NuS{uxynrj#vc7X}KhrfpE0SYu{xs=7TgL>N_I|XE zRI}A+nqg7%aVOnFcoY($FKrZF-Dw)rT#<-95n?3^4_Y{Yo(*KD1r7dpPUT7Pmb#a{ zwBaOtkFL8H!8H4?F|+xIs?7aw4o2t?J^YS{FNGWxl$DjE1v#t#^qWSeM*ptf?C_50 zG5Jtq0azw;oGuk`DEJf2Cr7jdTa`zZpK14r49qWQS|!&0WIy)zRYpGeC7j!~5t9{6XG`ruEE*vl;|OJV7VIMk=lSI@q(Def7c8gto3|+ttxvd3kQ4 zo7G!|*opf8;2A2|ACg|o@BVjziI&>4D9PC3iwU38Rj%`yoL4WzFO5#7{7)}*gaCPR z26pAR@47B|TJK!ZUp5gxr+Ivh+2&(SiUd#WwD}U$*83@5kkvLie2&*Sq#mT?`CM%3zFT>JOUxJFS`ao{UZtgC*QtJBGV5$m z>F3DgxR#;%862{BF%?GuqBkqa0#&mYP!~xx4SQLa!bI z;K5FdI=zmIg62TnucBwSxdQB?uY`_vJ8h^kLG~R5lnz!aLOG%gs}R`_`w>G%O&r0xH9+)4D7yov`eCsgLCvQY9mwHbng0n|V%jx>~E000*mqJw%Uy z#4*`iGs+C#jWhV7ir+bt@B3(@+u=nht4j`yAY5OTus+(4XLDE-F_utlqZ`R{eU_Ke zO;6)Q|7&bXZJ~D<=J%QYZa2IicilD!qTZ zjA~QObl!9~ZJi2YFJSZtW|C*?*c^9)Kno1q9^SQMXn#VI-ncC5CJPs@RO1N|HO{q| z(5$X|>;@3=YN6|!&~6rORD6{U*e4esSJMmN@1ywsbua~ZImeMuqmD1bD^Y?w$2EB0 zBIp-n-09CGKBnQU!VnxL8h?ziun61B@;m(5J6&H9F@GD%-6AYy5f5EG3!sX5v5o{ zgKm%Uhh2Ib@RZnjQ7vaqWEPM{)W+lHLd0?!4oFYEOkW_4(^_Rm{WYy=>j!lbUKww{ z&}KaybpWeG4ozQ{WZdqU;XEd{%;3uQM1W>fmb%pg4$ogJKMNHj@x5vPdg@Oic z<2)Tt1#Huu$+&~az0qwF<*JI(cc8vqTlNof8?)j8_!({q^%K(zN?U#K zOm!PmIw#Q=VaMJK=Ud!*xH zl_p~CZwbx74FurDjzv2yvP=~$j-U-mUCTt1;&QRRDbgycN)HVY0Z)TVUSHm^S@s^r`P@o zcw7uyI&P6TK0Ks4o?(X--H`M*W7t~iY}5j|&D6g8E7y$+xdU=!uV2R(Do}Tcz>9&N3ievhN;}}L~fzyZnMrd5BIe* z;s{C2Ushhz61oPnrMaS#-yA%4HTWJ@55D6b^w&%Jk#MN4D_BDF1XGn-ZRN?q%w9no zkWx!0-6BtmFre79e}yT%1Iaa6EupUbKdGuiCRwsvFSraxGv|R+1+FL^C~TQDO_|vS9){w zR@^x4t{98PRT5eOYH~b6aAT>?V*66;ky~C^fu7N(d2htLi@tD{n zL*w)8BSgT*azkgY8*?~|F8gw<$ zJtWr?fB7`b_X|D!>Yb6G;5~!~oHCbY4`4(G?m=)|Hvqg^M?f1@<5%k6~O5u7FPVNc_|$+CUQ2Pd)473TAfeOz}Yr>|a>m(hzXTySqG47IbZu2Uu1f(W3lx`9(#UE1@wze zpCIyR)o;tVv<7I{A6wY*%$_sP)t^sgKI~P#!;%cZ=P?; zb^R2#$K|QU+U)v2jK8It8m&XtPhyMgH6Xft_2w9U=C_T?=(*75UC@LT{Bpt!WUa2} z6?RPJ6u0Kx!jjY&p5Oid!`52|RrST~qbLZ1k}67zv~)Lo5fSO`RJyxMML@c{ySrPu zI}Tk3I5bk{(EJwfy?5R_ckUm|Fu-uu-g~XJKkNBC@fL25#*`e8F07Ms-r_dp-I4sB z=X4R`!*#EftGX_WbMV_=b`kWX|7R)?YWex<8PhOR1h-!!t9hO3=MHVl&OO1v3H@A1 zSATLlc=M$HFm|LxE=m|;;}Ey*1oRYtbiNf=ob8*mQ_0xSPRaNZof$J&&N;x_VO|Ke zNsE$u17r~&Pw^vT@Mccnuv*p|SbTP&5|(pe1)$#>1k@zXs_tJfRm0)QPg3%Q=*8_V zgiRc1GG0ZCxu#+o9gmScbil%}&Ev|7qP*>Dv{y9($+vZuLruwLs+axeOF&+ zc{J=SV7DC)g9Al;NKJ+E0khBrTGfN?ij&1&1>t#x#qq=cZuEgDhCxT;XZAu@mhs@k z<8{v!jii*=6q*~5Oqg!iZ#!Mv&f0+2l(zTmZKaUe_3%WWo+egMH;e9)~rG z^(YJX3J(FJ`!s)rS%YS_wezluK~Y-FYfkgpq5*GmJGZaw)Y@Sb0Pwi9iEX+nk6FoC z4kLas!J7MSI-#UDXZK5R=6r5uU2R{^O2!t*>;TC#KedwQp)(Oh;)T*Jx7j$~Z%iHO zMrJ(#Q6aa;tkt-VP~J-AZC+lo#FuQ9Y-K9u;t^q=v!Ohi8ySUCKY~EB@DLZYm&;1!5{8s1pmtr$6!7brk z$ymJ5vMV7f(ITNT;i0I+2Cousu2q_tlCpc|T*-M$H|deDD_n0MnF4)OE{i0;C%)_7 zP8i_j(Wyu}FS@V<#R!PKkGv(Ou!U`WKn4DFgvH@tCV)oJ zX7Ek)1mOlz90kqMY(wAIU16hhQq7ouC)*qp8qcc6!gpF22=GAxqBwaDbm9f`cZQ+( z$US#wczL--`B6#V%$HzY`=`|p06Y_hT-_Lq#0g>n3}&`OIjrGwEoWC;+mj{HPX@8T zdwnW80q$~G5)a4jO5_bGJE}v}sCKG?IFQBWjOk4?W9vj=rGA6nL?=ZyFajnH??LBg zyNb9TuLk@Cmqb=%RRF8`{T0F)SO?%e=N!&U@mzU=zW=wR^E{`c*Si_<*L0Rjn*S(? zf<-d~sB04KC%SXocs6eD6f7v!$x;6M@(nd0W&^ka%AUx-<9SPLRm zOt&J~;S%m6zOqE^T^?WZfGdeI`_^@Z1Ki?e)#hsxDw2dbn{ZwAB!aKBpG~3wf?7<= z{!LT2JcW8o|2SLRpk{~nAjKOeCca z-qVE3CFCi8B(Phnu+kNM+^9%^yB7Z+p!^HhM(FG@M z=z<)#i!(pMgGZO%ePNlfwa(sl7x1j1`Q6+fvDzmEgK3;@&`X6`hB1-WOTrtqj3C2v z@f_R=h*F6e2y}~|^r**sG?7d~5fQb>3w&sG7FjBJDV3L4oF?QueQ=5Na8DCzvNqQi z>Ju(x`i=rSWUPxdp5*hl^rZ&qCr34RFN}bcRx;$?^FS&7LpU^f_@CUE6toUe9+K=9 z3%p>AvA>$#2ex~;o6hAt+7;b<8K>3_Xylnt$l9rYOZ6b`;?|+mM%}- zM#`9K5>?B$&iTXg3w)+Te83am2QE(`0{dL$kBpB$VdA(_b#%U_tpD3GuD$YCo8QBj zWtjhKvwAP_MVAm7PU=gpGB#||{vF)th(&gfWi$Iq0for4ub=4|Ce zK`5FB+`wBBoNTVvyRQC+_uEc0Po*&uW_#A;H61&jz)f!GN@c#q9Kk%R8m=dHl#wTEMZaLb^8k z?Te1Eneq`pNb_r5=s=KJ(oJdj5%3&Zdta`-RVIA%DvUtX+0J;p>o|OP+ z?rraiAAmLY8;YRJ7x!FTP=)3I$rkYS{0({wLgJwxidjkrs^UI58u2T($CVf6SUNoe za-vS)f3V&FdYdwv)=uFB=V$<0gT;@<1Mnp3+s(_YhyE47@9)-g(0TJ_-y%`?#^vP~ zMquRUH*Zc^FFq^VP7Q9&sng7Ga^t(y%=M(iE3<^DB&=KXfX?Zd*-B7{SgNZojB}Ae z(o>>ReXPkfr$*}nbePECk1+DK-0Xd0q);&+K@C5YlKr*nyFDE@Qw<-xxV@e~HpI`XhA3c;wL0Ob0uos6V|Sb2|J&XE6>Ih1 zM~eTKF!p~1um87H94Ki2FJLiaQO=?H;r=F(%Zd;rqhq_brU@dJqS44aBku2RxYGaw zqXDGXxb5b~SIk?65U~4$=-s#u-(!0~e;r$Aza zg)=enz}Xc*f`H|*Bg4m#xJ|vQvgO=j4Kl=^XG@4{`r|6GQz(h;(<4-%clDlxGw!E3 zp3WZD&1mAK!GM}H@%_DE->>Y^(4iypofqG$2nQIxiWggWZ*Lj{b**hPAsot{bu3FNUwa?be_CR=HD|GsLhH)=g@=7IaCt zh=iJ(_A(X7RjBZuU;94ZWIiubOwAGv;}EUo09EUP4x=+X3V$$#nFm5l^1FPqSAzQv z#q*^^Y$l^9hN|nDKl(7Xef^=&@khbvZ&97TbYx<|BWKIsnye&+--Rh&+a5jpOXvq; zEQhlZZg#Ut$~ZQ$|lZaSFIW zr0=h-kdfR)G5XSY)9$c|WOYSOjgCL>7a$hr*XUtaoJxi0)5sB}BWs;2G!s+me>iiY zvrn=v0DEt1fL<4d;2lDuJ%}H2Von))@!$~-I7`p|Mif2rE)0Mr_;P%2yUw8Rrh$v$v9z_+o)kg6#edlHn8sGe&hT z@Xs`xbsh;|E7EPd^3r~ot@U!I-}Zm7m@7Z^BU**VGd}?4OXfro@8x+b@6o9*^cTqm zr>rVt`P#0Bv4YkX%KLKKRC*i!C{nK~sDQ}XK3!K+E+7{KAZ28hio;H2HqYK><)(F?{chF;l?8Ij0`#kW4(52~ zToH-12b}&aweM!ma-8_`Gt42v^az+$2(T)9T0nTf%HzW;-^33rFPb04># zB2TUA;>6GTn38h~*%G_ii#8~6xehkM!_m6;8*kArp(rOR~KCY0kAR_qSJg zM?5Em4bV7gb~zs(dYcvDV4J+raH&;;hYs!2%iSf<2_j|7s-9du*E@1z`vcRO1#98n z9GOxFn~f%6GD^I~y?Uk0jrHZS{D8`3KA@*0P!$nc8w^wVAg?p9}V=2bX( ztypGfcVFE&Y%?k)Ip&q! zHiyv5dC--4l}r@4UbhDCOwgFbpUyAGxD_|tj|H53@w79m$8L&QH$z?|SNm>K<9KIY z>}-2B5nkzRW~RMBP%pbaM~@|vZDtB(y86b;O?qXzQF{GK*f{IMO;$@3}EXc>tRQfNl68Q5>`Ok4b-;g9#wX%;-@DO9ZadCGS z&30REa#B`RWiy-1>2&}i4G!F}XSCtPjR zUkcnCm%|({6YkbKf1AYyF+a;(f&rn%A2% zi^7r#+XYVR1!w=3(S&KFg}0*uEf?gIAHk@5dSOK+Gn>Mapu;tcrbLx{D*zt7Cl3B6 zaYdXW;=;cvU6Vf;S_{O~ppb51^63QP=|${Ob7HSH&VZ4TntIqHi>-70`P8b$kExZ$ zeKni8KDpZ9S9y$8cYe$w@}hsXLE{d%?F88M#eSq}q)J3bjzt1YYhGjDH;O`m1!M2b=kl;;OUR zJN8#;FsExEx>+TBaGv(S1ELk7yETZco{#ghl|SwCT>n+AzL2bCB(Dn$i0X@8s`?b_km_M7E+M)4+R^ZJbS4ml3o#r+7LYJn?{|w*Eo-Pf}bDZZW zU{rjIZLHe})PFpLgb!}5RabVZ8_6g?I03WC?s}Xkx?Jh_4COiM22oyeZ2atmPr)$D zg2GBgx>H&=_Yu;*VD4p>_hbaFT4^rTkOl3#@6e#roZV4(wN6=uA05!^(-W-|_IU2< znMQO@B~-DYv(KI-2+AWAWOdm5Z|)6>HyYFxrH;RWeMEW?wGRx40M^qtSEKhPuXBtb zP^_x$^ue5Poin*-*7@Pe7O>^&*;gmHR97;Q6qHXM%8F_SEogC!yG}3JOsd`yB9jh~ z!tUh$O~5cKti@C&&(xU9|8Bv#n<2S#ABZuzndsyD-Q_eoJKVAiOb@S}riwP5QXyM? z$JVY#8QlF%Mg#lP;0fSj_=DnXz9y4v*A3{l(rF?%bZRi==IE_{sE!kE&FsSg>KL8J zzpqnr-;TNP0_h17lEh~bWe0=Fb51EKKtWGnKz-Wwo>c9$&Gj7Q>5&gC(e=}$0t=JSTXjNdm+L6eLc^WZuET5t|=y_Rom;*y!o5irOr){ z#^A@oTQr2SV9=R-a0z*6I;a{-0CANL+rya^wnHyFmX`blS-Hk4 zmP(qM_^j);jJcN`UttAgpR`X-ZnDEPr8J#CqNOfWh|eyC`xpW5U@AdGLNE;{(dQ>D zNsb|l!Y4xP;0hNX2`(EGTM9eiYv%i{QBXbBkPIZZzwlwfFqO z;#<0QiH4RC0$}o+i2hGDlEg9m00tY7oTQ76G}}&?N-j*7Ba_qo0xQ$QlqB(0yrGod zH)80_*lVf&B6g-(+>!^QEVB^pU}0(wXh{p?hxQUz5zP)Wvaho{Fc5oeuSlfB`lI{4 zRZ6xtQ@{rZ{UjqV;io&l0yp=f(b&aq%nz?Q%f<0`8)tu;p{3Q(m_5uE&-?8XyYzIR zk0}+!5W7ys3C^%NFdD+Bu++nZ^>Mx^o&98+xIUL;^o_20;!gO2wTM!^kzF&pMY9_8 z$Ic6Wn*j_HumQuGT)$8Dk-5xws6UXf#F)=iK5TwNACnql8SsuhG_1&F)->7>A&x$S zQ?ZL(r)r9dH~0WYqtTp2G-15+)Qab(8Xm*dvKF6R-#j|RbTObS#@sJml9}Y z24+n0`_vl~-B9fUXjjP&5VTOJ#h*g7(i z%dYsm;C&nA;nUhjMcqB<3M?198N7pRXw5g|4gyZxcl49#k!s+JuNp!&BH0Y z(T`{WX}vnb&IRVrpO5eX*sIeax*nlzUN`ouUWk)B#A@~T9*p5_t1(wwzErTG6Jv=d zt4WW#bJv-p#S)nhFiDG-DkxR9`M;ANrzZmRt30dWqTBKyHX`eQ@If{rGXm;Kw$Rrc z)x>}10Emk$H!U999!JZ1>Zq}!qRB@2ZgLxxi0&!62b{8l5an#{-F~Lg_Y{zzz17ii zz6u13j{AbNsKUmmyymd7qu?m@+#(;cxqsj^Tre z@m?+7Pb8N@#{xuhIe8pvw9m#Z7BJSY7dS*}MM;1S(7HK1smfj3nc1(^;j0Wcb*jYV zrsj;SXBv_b(Y}1f`*t3ZYz--QV@P9S={aN#!>s^)uK#OgR1s?wWY}IgYu{}5bU_}{ zM60JXBM-qhiim{BLsU!3J5&!d+9pM;C8)tk0%%sG`kqcJ^Zs-5jj<{a%TIzZBx;ilEq9lXgC;1aYz@ydXgo#BEN$H2agLXQhh{QnwmfybAD40lwT zS=N6~V-E-4o+^+zE55COqI(QLU>U2uvou*owXnNloMjgQd1yZUoO+a)H?8uIe$Np$Kx(x_#apHoX5uv;P15;KV$V zc&@&6t{0%tiv`4aLiVk{dwj128xj9egD?2XzF?mYDxyCCbn{szW;DNFE6Atggf)gR zEtjhWruuaE`uI>4=L2gpuiz?{0+o_Wt5=DinLNa)NlTvR0O2NxDWlo&F+`~ zA(k4XyX;sV%jZLKZyIs2;_r0i@h)hbPN_d4(w0P1%#1`fIX<-bqr?zfv{sCWZ04I# z>Z{3!@orIR@W-dcsha|P(r z-(M`yjl;gpCJamru-Sd@izzM7Y+90)X-w_Z)yOeQ8d&_oU$e5Cxv*_)5F7f@pSa%lkTWa&=Ies(lWGv}Pyx++0m;WOc9i))z zNfqy3r6=cbL&j2t1r@K(pJ`mk zQE8SYk+xQYP12A$L9DfM@QYDu^q~7&s>WTz975WdI)rRB8p$+Q-IK|IapUgVCrEow zFD|p6aJh5ghKkX#;%6$E4NMQVT6+Lgr0W>F%2h51T^8HQbKf4m4XsbVPBNv$ z_#s)kSz>{0blcI@KOZJLW|*SOOfPBC2yfJI^#q=4HwUx9!C0%&LvpTZAtlO3?ze{S z7qM73rEZv`6uN9T6>OWux2M;ZARst_NW#zt(%9 z0f)SQ&albEy;WhWV`asKr)p>Cdur-XU5G1#jKO--llaLg^~qrhF%$4#$1K7>qScnLySbAp>mv z&Dh#=UZSymlf981uhF;+zd37*_;`n#t8zuHbyI;^6Wb@;f=(Z=B;wMGOI+-xUZht! zT0Ki&a>HjAR_{M|d0XKoo&6Z&lWCZwSKs+xAVnB^`wBBUAe>i+}i@ zg!5<|TT@j{QgK?6NUW7q>tZ`kG8&UW$Om-wqY85$OzcwEym>C9|3cftdg_E-J)i-h zh;EG6#IZiKH^#>jb+`C6$%B)8ZTGIY$ASpP2~*K0iiNQ$9?)+g{I)E-{FMi%O*1M> z-WSS6_eyGrz2q)NY+~^a=X=ta86H=|J!0=$has;ziSn&TDXe@w1=Pac%UrYOYFm!s zj|fdt-4lkkKjkNv3Fm@5)qQ~|*&@0cH(XMwLqt>3<`j_g<^((pDt%y|nI%KJ$d8<5 z6=PGdHPY8^2}nJFK6`)sQ?8Jyd^Ohs!hffIbsqBQ&_;HzKJ+$N)wWZ^LrH0Cb98?t zyQIcCKCPI(=%3oj-n9#n%^*_N=R{4u)X{mFnN)fm zI5DkwZ9kg8A&IvJXpOn~T}!$|iQnJ2mZvA{-qrw{y0xjRp@e!zt0?h6xFT7_$*6z$ zqdlG_IU4rE8N-`4U@(_xiV3vQjp+tVelll_K+G#&3S8KQlVC5AKN z(w>{Q5W5+%O1UU@l}B%KKuv8I`lJ4QR!$6ex?hAgedCp zMfVlY+ZTJqsld9B?f%N*75mCfu30127uSQbL>?=xK_|1=P>Zz08DK9@;jpf_hUolejL*M@nI8De zu0u}8{`ud{{lXF|{_4E~%yBE9|D=H6G4aNjvDtAa+m@_5Hu z{aqw0lJ>?V6!z!V7cWhXtOhq^aHk`TdIuX9<4aVYS}fCvaT*rzB719AV+9NGRuqlke}Kin16H3B0>i7Blp z;YrWs%{v!I7ajK0h)DI{`pSHNdg|tr=-4aOU#4^4du(F+|G6hJ3;CQi&EXKbCyAzO zGxZ~1_??+^ol5PK0 z;c46KO$x>O*XpgNqRBAC>e|;<3b%18d}N#VcCGYyi>gHWXD`eDBBu(m>5O2Yaoh!3X= z*|Ltxbu@MimQ8l44oQJoD8nPW+Rkun(E4veQTFlpC$197rJv(A>g3czaI61xRjm!~ z{59`26huV437at)4Zj|@*T9T0Up=KLwSESb=4p2p>C}*f-D7w*gwO*6hrhSxHk&qmQFxSvG-CXUou+w zq8ufmf$Qqiw#%*b-{B}c{rtS?KMj&?UWy2hHMMm!vB^BcMY2ottU-MS!~vr@-(YgENJ zC2H&X;)T(5y?NF}78oCVq!;6-y38f>U-ZHsJfmo;VQ!_2_bOJX8RIw)9u0{ix#IZ? zZO(&b1$NDL{!eeU>jE+AgB9GKomb>2e6Ov$b_kA}SZZ_8OhwJ+z4tJj&dq?B|9kdn z=iK}ns~;NgR*a`>uvYO&u~Y_;#I>jNZk9j2Q3`L2lu$lJMv^GD9-gC2OYohbpZOvf zI!Q|W4`;>pk6PS)m@u*NCp$T|bJQS4{2)v}iE=Y#g7Ko7(nPC?FOt_ZHpm1ceCNGj z-qiA8dZBGrnu=_&@wuww;!BA(GMO6tXjlaiR_nHf^Jg`3A&t+WvJ`}zb6u=$-cAL6 zR`zVSBgr(4c_CHSo1t)`arpA3c_YLM8#Ovi$oB=URy>b7r+)o+X?)Sn8pA3FD1v!K zI$PnJ?2LlWAtirv;@R}aQ#QqDEPTQRdN(o^mzl98ezT-6g}p_U`q)%hr*JMfQpWV| z-)#h|Nf#f7B-Ksad3Q=yE^V#H!3c0r%DRw{bK%yPU}xPr@B-pVJ2N^>&VbaWx5h(t z++?fjntiq0ZDWis($K@g7q0&%#&}>^klomLS#RSF|II7$kge!?qPXaHta)$!RaT{yLuJ=ka6XVs@G^SE7%A!5Ld$^p@5eb zfiz6$pk<7Rofo{7rN0iJRdTr`7bLrM2p<(rDw`*4}wod*{xRo}9#2s|k9Z z)4H1`T3UQVI%z{N12-Ma0G~@Ph!28ljN#tTK`6OnH{ElXaIuV$*+?Oomjm(Rx7nR^ zD{FCXh%?m{AfwrhkfTqr*((yTw7ABncO@Ac{*Czc+e|!NAPo3rpTeh~X}e6JEqNmx z2Z!p1XIE?xLJ62BPGz5-yd`d=ag*3Pj5D4{m}mCz?5wFI@QAp!SvH!`HUu=|4FVQu1i`+LZ>$xrdV!}jofjw$1#?|%EF@cY)8UO z9(5m>r0>~P8DVRP)y<#JgipIWpGjX`>Kr9M2!cggLWl4E4(~yiG|dNRmu{A;ztPmn zEYbKHQ-(M}2;Sl)F=pP%7L{tS9&?5lZ;>rAw1S3Ze!FNn&T9Uj!iMKjGf`phEE&&K zEC&SjT|8@5C8qxP&K&dMdm+uXU!uaU!2#ZBebDw%*gx#m^~RoHo)0h{hNPnt{)Gu} zoCTTVUJ8ZKW-PEO(9&5@ea-p?{W=ParqjG$<&oG=KQA)ZxvjEgoS7Lg5yyw+*mdB7 zINCRc8as*UZK7^_SYW9c=23d#%_A&o-ubODk${VQH66LgJp6Sm6(R>5pRo zGpa{RD!yXkn@vy33-aGPvcNt^CdVkxe#`=qm`MaVGWH zlloYk#P!ar?Y*49=`%SUJC1BL>s`}|r1K@)!TW@+kKWfuWN=|a+W1w+cW!LeY_i}? zzlf$MmFYcH5+$I6^+gmP`~H@qxE><|dOWa^k4h}3XWWyYQ~YTvD$%Pg67M*Opof#bV zp1bt$DU2^R%-{vKiTzP`?@wNHzobCkS3ISgt|5E=YYJgZ$wSv^eFZhk3giDYFFp$P zy&>(;P0VIB)vWiO+eX+;yiLam;nHdHF!CY^zrTIOX|3Vj%-+u^2@ARjGg$2k;C3$A zdr3#^)8S1FmPU>ybg_l7HYgiG(ECh0tV^FILsr2KmQ53-rEevWFZZBL>I!%KIMPM_rbgP`7H}L!-cbUJ%b751xLbeK ze>L`BhY<3q>)QO3LP1^3{x60X-07^5z&S?z;@GZLwTl2PeB<)YKRT_+fW5z|`4Dht zEN%H*-6U>@55mGyc?%~xASF2`#9nE40cTdVqopPm??zB$|6 zQlcG<^Ug0dGM#EL8s~f|K{DscpklS%xnhE+>Nh{a_j^h*tgFDBHXh^k%X+N!h5Pu3 z>@i~rCn~aXb$plQ_&A2|P^KkOu##{da{u&v*YSB3>%8sA2ZAbih_Muv7P}QdyR)$XB|wK_NDpcISm!SAP};G!!73#3tBq@HIh>7d{-iRzL^%gSQccF6><(1_ig33^#-oKdcU=5 zw8Q35Y6tUz_oNHlUczL;Wcc)1^3&RA?&W{mQvOoNrxKnDX(D2vgAi_)=nZL9=hH|l zA?c;KqTaDPGZyS%UD^IVyrg(iGx++Yx!^9Heb*8p=yDJO?@vaT4ZEue)0ubDn)Vo) z&Kxc>wJ*vS16Ij8^~bBeTTvl|c=&M+;^>}lrI##0IUBcCTebj1*%WIpve->4jS1@;gZj&ZXB8uCw&2YsES9FM;=}?W z`tL&|3sG`^sjXb&W-AP-#FPB)zc?vaLaAu3|571CGOIp4YWsN1GyEU8)AOlGB{LZ~6XmsL%D46{PMYp$V}eNbq$Kn5 z7JfoV{vKmzPUTi)mV`AQrAutC+8NNKv&5Z^rj3JG^^W&57uEu8?-yQke$l~bBw#D3 z=S{14tJW_@i{G0u86EdstkCp1;mrpjOA)mDKV+ebz9P9aqRFGw`MyK#Nh3BYZ_vwm z3r)yK=WIUgx);{h=YrmB(2>Q)W&nCX_VCrI|6^*lgoKR?ceL8+!@;tPD{;@=_J{{r8R}Z3k4|?+)?GEUI-ld& zt=ZJZe=LMD$txQ8rMSVWj;4pq=k9{JqHr&KBk|K0CGz83YcOFsuK|OHs}EcIA8=z$ zIqZz}#cymbs8YWyf*^oKRGM)FqS4)Fuhs7faIpQxdEu?~$$5~mB66`qSFNz*Au}%P z6Mt#x6J2j7R_693fi9El>5ku>ku@EImUK3W#xt4~=8PO@w4hlX>+hPd~%eum0Qdpz`%_j!lsNyp=UXMuRW444YW0LZ~o?@R7U``#u0EW1-Lc ztufNfKKLc1cM~>OL72^(&=$glhK!P(6@u~W{qq}H6na0(nOGTR8;gzTdesbCHiz)k z&$59e!D8XuBZ|atd{5PNRl45iBb(5Or=mW^-CH6R(rQhtUEF)87&CM`&}FA7y{Z0L zyj`L=x8E{zHohrRsFCF^?<7>0EIC=z)u@NiP@-!fx|fZ%PozvE#Bu+HlQna(#h$Cl zO!%fI@NzU`pmHYSGC1{CWt6dADiw+Is{V;?20wj5OXr+1MRgoq%dNGqb$Q?SvF)KU z>O+30fpJKuF^7Bu8KYEvGppOKucWLmZnBUQ+WFC*pzbV$`*gd=N&VbiHi;vSEdWzI z2#x=nej&p3Dzhw*Tdl081mZBcNwV5%cD(8}6Neh-)f}iIRVS|<*Y!IIg( zgb~v4zWF2jvx__{&*s`7+^a@nPG^)JE+W3%eS}5k{s)Cv!ukMgh?Sv?jG)qBFt1}b zj^sgI%*~XF8kd6J@}Rg4lP}M(pfjFduB_ysLn22dakWHWH@cDM?QT;HBw5IcWt8-# z{&cOY?UirK-5sB~mcZ~kjnSHQBjuM7Tl@AQ)L3+6!}*JKInu%z4KIV48m*KM?a!9u zKDN!(#CGsvg^_RveQ17@U1xG+^9f$OGTS|idEt3~|1pG` zUCr$MHBrdm8ppCu=fahzND*p(c9cYRRoNCu@FsVdR8=If%b${JRgEuuo+x8xALg4Y zT-8{XX!k~pSiqUZkBk0G_N5MN2Xpu%utQwfi`iwDlB^_h#=H&bfhspIdDeY<0SZe3 zorE#m>;R?j^;t5N{V0-&k3gd;l1KtE2`!8f;qL+TWjMw{CJ6l+)#K`U&&6;%#3D2 z*sF6w7|q~$DLSgMX@wqMGDrFmn)UH&Y9*N+`z9Sb>mkf^IsJ7$aJA>Z-X9!yvsHLy z2+N$67g}z&CF_0LhufJ8J(5<&)?Y%*JO~0XU z$#_E3N75z=Gh)XbuB*ID9XzgP9LlR(KH9D3yueBtGzuUcUw3IY^TLGaozj-YEe~du zth>0Rbj;ED4h-zydJE5RGA`LK?w3f}r8n&MM)RDnDWnRi@u`HCYTxZ7mz0*s@pzAZ zQ{u50H5@!8zVQsTtR9&ej3sLsiF!?viy*OkNfSaG?ReXF{bkf`!%e$G2f6Wes6X16 zKxCrtkXXPjse4mP?{~X6WmSg>A6?3pMN{u;-98^?fzZmHXXxeSh34C~{Wj?DVi*dVPoKd`` zTtb*-zj=z0$#IS-5@{vzZuOX$Vm^BnM)bx{O^!bxlDGLDZeg*1HQ=NBmuO)oJR{bK zRM3QcYEWt+?sz5qT*b}m^t$mPRnFC6%NFxt}hVZ^?YTs#aV-Yd?R-ypDcgK4kVL(Zk32sliaNt$KIc z0RP?iQhy+`fS7)G>>pxxWadhD~^>igtV;ZwWuyH)f0ur~+v5{{X@e)(d(8?`AH2>M0hA(te>H!5I7E&MPq zaLdp4T35X#2=hY5qjj{-AK&|7)dlZq>^N7{#Wl@J-h8xoVBnpfUMO33L(C06@lXcI zjYC3>=4diYB3OfBO{@*8)`ij-K=@s0E@)xCr`RI8L$_Wq2-Rbh1wUQ7x_>*}^ooCP zX~g^9efjKgi0l5Os_*K~sn6k-HF{!ykqXP|7_c`iC$HTeuXpTwj*e3&}Xm(k0g8uiIFJ(iOf`dDH44U_+7s zpDA!U^1ZIM!JU5blYh^5J6*j>COSZAy@W{3Ei5I$TWc4!F8dhEsX+(nyLkw|H$vD` zr{wsYui@nS70-Qw1Ue!x`N5X0E8q>zbH{t3NXhra+cP#0Nl*DZ*yc;7W+Mki?TNU;F41WVT_S!FG#k=oy_v>8W_&wWH(y5> z+FgPiUt%$r{}fDGo~WdmynflvxmY|&~1 z)rILSyfncp$J3Y8&Sc#C7${fJWHNBknWcyJGg3AaYj3v9GhU!{dR{I}KF$&gIUi92 zQOJ;(0BN5!yDegM^!q^qUPh_*n2;%o%d$81)m8JLQ)^$}o3YkNoB|YEG*RuljYW=| zCS5eHrd#cY%SG_SkZf3nLm#~22mRxi(jDG^oZNLg+MMFG9M^Xq)f24934zH9`D)*l zJ^2Re9JSV4=TCqKomF(Z=LZqHTMSlJfz+aXd?FcydeUi-P6KZF{aH9Re4#h=vogjD zh9$dwf|q2oT()8g9K*@%{);xenE3|B^eYF!gZ`@4m&eVIlSZp{y{T_CYlh}J$2q>3 z`*dl*grz#iijx*Sf!&m4EY*|Gk4{x$CxkDY8BC0d+{V~|Hto*^XmzHzC?Yu5Z&^81 zOx0RT1M77!nXImT>)S?;j|8FvUkw7sBibO;=H-6oa@U}0CV}VGx&h3uw+D{nSQ}g3 z>7Y@h3;x8>+E)@zsC7l=aC@r!I!AiNrUu1#*zFY8`*OZKAwusz_0Y^2Q`^1slFNIK zmRvF7=Dy*<+5dj@wd+K|Q{+6Ge}lS=)rrMHdZ*1eJ^gK5iDdHq(H_}51zY(W9|)x3 zpPO?iY1!h+AT$0-pN+L(tRIaG1!;Kp%-|-^2(iy#tH9OV*yK@kEsYOtXBOEnQ^HN%fFHsTV#?rVrbg_G6cyQJ?hcG(ET%Y-^k8E7r?z4{tpk`ACh;xC_6ko>8lv zd3lQ3V1F&5&13g5QvGEsgOYh2%iik4TC@X`qmCjTOZ z$ooZhNZj~>9ipY_sqHpWz2rSaw`99~a=5i%IDNW|AaXmM|5$c& zSlM6Ye^`2y^L|ctf1eOs5?}4F@gu@zA?X#=9CX zDkz?Rrs#f>%>Y%dNx9k{x`kaT*%F3w+#u7T`9G~e`8Dm)@_Mo7G*WPc4CAaD5_tDg z*Cir+MLiBKsMpe-^eua;opCJM=Maj=G8CDXUQaEikR@hTd*K zUEJ3Cq0KGYH)tU4O2)(N%A6_H>j&-F}ji!-J-e*QlD6`C4t;9mStGMDD`P`f#tnt;&$VE&D+d0Y_4a-X1Hs5`EL^#1CQZ%Yzoo`MkuRKXqo#u%6gpuVIS)>5Y1T zr+s~eN64_y-RsIgN`?O-EArfwqqR9*lJ+%uQ7;RD(;e5`D;nANQTO%x7?jS+C`yj9 zD4yT$J$t5*md>V)v>h*|4$aJyWM#fG=>4~VHJ&Q)69-p?M1JVCe-^p+1d_W(N104( zNggxt`rfsb_T8MYQl7YCOnBnIrRJ)0gL1xD5B$& z)0UpE;uJiUwSGx);FXns5eO|O{@ZJUGQ+AJ8BvkEAGWfN6~ecbrnH)-v=CkXw99hR zr(0IPX^eL02#)CDo9c6zi(xOsAr`gf{jF6>Grn#-+BLR*oc(#n8u^7NlG=#%V(geU zL&*F)Z9!?%B-OjxE^fPaO0meE-(SDK@JD-ZaP@T%Hj=`Pq83^Eno(yN)cGzk0DsHE zzL^|_e%PEzvD8%yEa%0)y6k$E< zC;>(_VG)XTe!_)vxF|1oHJ(oH#fsl?F=!H_O93zqQN%)iji#XDhqr6Z;gm9-qc3rY zWC1zaBrbC3hJQYBvOsNZ7mZW;fGIQ4k%yV`R|Q{|^Pnzi=@c&umc5lpe3y68;+c^9 zm*_z3XqEmYqeOen@eI?IS7ifo1$!arJDd|iB!a5M8=zI%vp6^W(5El0o$EwrpP%ZX z+f%at@C?#|j!MU9BpTOzwV>ZwGqg;Q0bY{2db^IqG4>eLzVsTJV1s1fJlrA%9L&p4<`? zDiuuag0aj3?`rs84&zf^r1USx=qERuX%j|5gT04hEsX=#!`zKK{ArS3zBt|JVyAv%M>LgR@yh9TXkWilaO}#@F@oEH#TaV zaM2K+l%?Hl3r>6i0Upwvf$i;(J4s}<1w*ECib-$OkE4^E7U8=R{_%d)F}IbH+azhG z!KF?HdB=$C>FG;f`ANv03no-x(#}}8fZj79cR71|fFr7pS+2R!REWi1H&8N;*S6bZ z<#FcK&ZB7A-LhHmuhRKFodJ?-I*XXpP0cT{jwo)n!u~sMpM+Q@aJ7TA{u)+3lF7^R zg%z4#H`}=0&exawKeerOn8HCAMGW>w2HQ~a{_OyHlPW+A<@K{C-4FS zPYcd(lN997xI@sxZ8bbe*?DoQ`8>xWO8yWMg69UM49cWbILZ9Fze-{t#aZVy zGF&=o;f3H=8_%XoMT7trrKIlEgzPJg;)Y%ZAA zUys3dI8kW@qG^>x(26QjGzDcpXe%Uc)BF*aV`JFDggm0eL&+qnpAMB4;%!icLL$jJ zONZiKEsGjxC3X&H`QaYSg~%_%Bw!@l{*Uph-Uh$kVvD+Id<9bMbuIv*Eg@D zDpmtcMGBjH9|ov?_o;#I7rfK`+VN${%!DoVhjS6GoBN09x^DDag+65q$Xb!Ji}lH? zr#56!Te}=p_%gV1ppGcd#zC>Fz8Cm`l6PR0~x7hMt%p%@LY6wiqPBs&%Z&r1#UaazoZT@4V>L+^V z{7hl~c(P`yW`jy4c;0FHD!i7PM8flbnuVUX2Yl?RJccIMjbv{x8W@O~aCVERgSyu5 ztit5gKNATg;#4%pI8<&tbCuHWas{D#u!M$;u& z&;Mf^&sSG94zSQ8*G%F_M3#0(0AA5I&Gj!U6U4T)L@BPT4l6zadJPmIZhfn1VPte9 zGP3icN1VitM0jn{fcGZ>Jv%}S%7Dm9<_>s2HiHFN^|`E*Z9fUamZ5&BO0;jZ5O`lu zpU}2+J;<~)hKpo0lRs3ZKw?v;YJa6=8Q!mbt-eyK_cfhY3SZGY-B-FUGlZF+ybp`A zC-=|v^-f-JRC|T}{h~kwYU{%#4QKGnrG`zpS#BQIxxLLLi0aMeVE7z|`aEt)A$NT& zLHThGu4&mJD{3ljT;4JA)4P#!VbGjr-_we&7Ab zRd2o*;Jr-`q$f`ZoL{&~<4L<9V>Lm8`!q3Z-Qx(s;(Wfn9!WLaC!380HNj%T4CI}QZTwl^ z0#gmc?#(oUs8mX<^_tJF*g;F*`c67trTbj`2*WtssrF(0{Q<2LDGlJ{ZiH!}8;T-7 zf#fr|iOW$W>ft|u*CXUz5IT6;MJrWwWsK)Tz-jBZ5QAMQfdgt1%Xc?R~`- zSF2uCYTHVEi~$)>+Tzo-04TqQ+rgQmtKf=l6bQJeI=gIS#D87u7*J*aGS2`uCLH+!KmKY+)}{ z&t8`PH{^jIIway1sRqdN&fNRl6JpadZH$UX+a2#%p~Fs$x3VnJY%Tqk&EUA7p%hy&qjZ2zY*chI`_^H@Zvo7{Z0YVK+&ndk2ob~i+?4)h^KJZs-f=2L zTUFxbXB`VzH&;Yz!b~C|GNuxiaGmdat8s9OkwchZasqTU|1VJlKk^~X94{$M?`}l0 zSDvC9%RODxPISFJGQfwl8k=lX15W)pEq_8<_cWX;?g;PMKKHa!PvqEXx9@wWdyy5h zTRU%mW_?IvtT;yf?H(RIv)i}TN~hfkj$5Y@!WZ74*>&CCr1z|AqpzQN*gv9ZRV2%#Ip3iBW=(4v5`Hw8( z?uTe`1Unv%MU%aKJ|q|(D~BWW^XdAON5)cvg*V?9UGrInVqbb5-PtTgcpNG=uhR&b zsEw{^p_d{G;)?b?KS>w1e4tfq)rM{NKD%z`*d zQ_O45ca|$#l=s5U5=_TQqDeB934jB#;v@ysl~S+*Wh!#izCAr zgGusdtpC*X@QM75#Larw%+h5@@?vzkc2#0>*25nGik6hvjRn*kU@ra#b7uK862d7s z%7$b!c+d4R@(AnR@U)%emLJbRukE*KoN8V)lB81#&8 z&kSd+`OJ^LBhQV_&Y*3AAZ|~n9^AfsvC9;I`TsQP4Mq4tEE!*`B{=tmN~s!-M0sDk z`BBw@egAMBF$0mO=Aob7ny-!0+b;PfLmai^O^lIXz0129eI>C!Q-+&mj(Cgal?0l@ zJ~}!BuZ~-!J^J*|;WO%|ozaX9?xT*wpO$9cPvDjyG8XRV*L4;^Hl_A_o_B8)ncLnK zRqQ_>La0-^BhQ6|pWI+A-UEZSn4d=0{tfyE@Do;jWY30=hEC6`<3}9VzQB###!s2L zbrF4p>4P0K1pOpf7`;)e5OA{cww*Vkir+=oWhVCFs@V^3*`zjb0&j@n^U&J#yx+3p z4@SzihV(20zkk#af;^d!`Lb>E_ajE9aphnC3q7Xfs`~wrKrii;4r~<>5B6I{_6b{x zKz$SlSXx>lyzTh{!@ddNh&)PoFC-?9Zfo?7Ay~%z5?m^r5%L}RaDx7@o(-moGDOi> z>ymKb$^GD=VAGFRPyCNx&2Y-41sotvcO}5wRZ}%QZ$fvr^hd1*1uuD(1)`ZM;-T63 zvm{BGi{<;uS5*(#`3UXtHDcB^l%Cevt@nwqZj(9^=}h%(LU3=Oze?;#JZbASMY?NF|401d5 zNDufX;4bWlejb$;(NWy>W5W63F9*QX3GZiMb>86WWApmXrd=*C6B=mnuHZ!ml3v?_hNAe4o>B(yzHuy>v5)hoPGnljG z)#GPK7EW7jA;h@wPbVzK<@6UlxD#jq`jjNIf zLchcWXw_--ujy$H`=-3YmBhEjOMih7HO1m5=fN^WYno?t%h&9&J3mayg`e?XyfwFD zPqWsN_njj;IoUIabVB@CT2G=Mf9hnIZjE;8I}^EvTcmTUOS>{4tn!>zfqokS&*~op z^Q>PUc(I}ZUF**W_Wt*hKF<&Dxz0o|Ft5Vf1QQ3uWye3U)9`Uu=z9>g2^tX^_&$Ji zDApY-JRiyTT3S~gyDs8-4H=_tycjL1lF*-~6_kx!4n8E*d$Z?wfzt3t$&-solguYca z3n@1=sVNBQ*j;M`Ivq4S?9P*MfT&T+1G+3$;{uD$PZ}^7stPD&j%`mlti*`xgk3)7 z(Io+ZD}M5p!|ieO_Q4RM%J?)X!CSjR4;r}@9w${Ia6ntpxGoKHocB39FSn>=SEa>T zM|zK$PXFG_wp6W7);aPF2TI6ZmBKXWP(Hce8L0{x_`(ToE`GiEiV4cB-@`;Gkwob; zZm^Q_x*vT%YS=^(L#2d2ovmM83paUinP5_lTe-a=qgc5x6U)vQ>1QKpxE;UUIV2Ib zzOn!3WIfDayfDx4`_G2n?L)N&&5IPpOUsc4em^xvme?zS_1CqCPCPK;yQLDO^OZE0 z`e~1mDn%RVFKL~xcl+2mSzebjaWv8c>_;bDsYue)8crSk*u*wrpLbH3f>`ld(G&R_ zCwN5;eJ05<8b7x7lXJi3eZpBr68beBc_7A!14Y3-#uLtW3>@|QU~`oi`#i{e+CLAg z=oqO6`zVzzW+f!aYGno*WVz65WVq1xC^BkGn4OK|QXsc1Bj`tsmf%Q(duyGSqITX- zQ&(G)la|;Gp2p`*3`6k!8H2T`D_=bW8_3yoXwg~qz*OZv77>0Bo>UZ~c52jUoWdJy ze_nIe!~&NCM%!gSR|zej-aZ4!S!98~`CBu9Dc82Q6Fusf=CFh>?XHz_jz`=h{ zc{MEjF0!)u|1<7wh8ZUL4oFT$coiV&I7o{}lYj&26Qwi8U* z@}{FaBd+#0u-E@?o7=0ch)oy$9i0`^S2_Bae=hxTb>pbO;M+00ZacKs45x1C+-!2# zjf-%5%)L!QRnCbLfW8A_w2aLP#z$v%)*3gEgIFv`%J&AY)aC~K?|+*>i05lO1>R>l zu-rhC2%a+h3j8g^i|XQ1~2h*gafMM9}kL za}i3#87hMS`9v>Ii96@E8e^2W=?rF$R#%H}pF>fX+WSfe`n6`g!XmC1a1FDlEi z+sU=}MquItXo*dpQf1U&R3OYk{uQ;Xb6LdWz6h@VK6bFh$sGgax-GUH#5D|y90(+I zyQ?xHpei#(?>m#H9VHU*Zy*p?F=4|Di{rj&YYP6Etie=x93}piA9$ad%20wKq)&+xYo-Rt!&f3wiiFP zmE1Qb8AtshEIEs%EmA88@AmNb6yD1HOz&ZYTSE2Z454l$p1H)n+_uZ3k=$T-{Yv&z?o;|n(`UG0cB zCv^qPDY*d-cQEd2{K#KZ`6g$}IJ7NS)sZ?DSSS#ZNwD3TYM{?b3bN^`2E>8@77NNi~YCy6PiN~=CDCEUWB>lzPII+MuV_% zz{Ux5Ukds*sy4gm*sQd^MYL7tj~BYc&*Nl!BW25Nvwduo3Q3;iG33i@mOH#;J#Wk$ z#_ur;P)5(~WuEy5MUJ+|YZ?nq5~yv7(x1rMDS+rzuLmL%2p}hk{OYNN-PUqu@fm0& zD*a8YVMQ-$z8gKhm(_aiL#`EOOYSNs-E7yT!co-X+A;XYdI~$48{TCk#pkDG4xfw8 zM0sF6l+GKMpEGW@dBSnD0r4KCW9btM7iq7Sn}SU#0S)`K#8HiAP2K#u7rt;DPlJ-V zA2a^grydbWgf{HE8a9lK9-EW*nyTVFYd2yw{EmA}P~i}BxH2ub?@eX2_dpTM=X4^W zef15fDu_5VbV?Yli_TL?)L4;eNoQ>*r7T;m@1l!Ii%<0pXewpfDPlLNgzT~l7!i%}y=1&~&Pn7?@nmxV%9U3FvEACH0q0}+}oZoO;d8^Ci%>AqZ zm5QGRBD5RHUA>Ul9IyZ+3h=x#2d2}MD0gT+<Wh+tjgi<-u7e)gZ0 zej?QU+S0L@(E?awE}!(@L=? zvP{rTbqyHqTWPJk;C&l*e8Zf8nAg(N=^Ka^%n)WFf2gR|N!Oed8)zyff6&Jm*3*-f z`){EG&Oj3V?syYqtVi=4f-M|Qq7mwZQAN!?k(!Ibq}-hJeff>t+5Y;cQy~z-iYZuf^5C=) z>7`^@`f)0>Cr3M?uY;W(~aA>iiFT9Jm65oD2{Vsg( z#;C(XJ!bso6&0{X_lgp7MMVgqzHpgy+wEPE4a;RM&Mr5(fY>KHEWZBxy0ClqrfweD zh~2tmfdgG@l%*TO*Wy3wKP(mwIocATi2r?9Fp}mm-^xsO%1fTqXHoOCBG*Jk@tUi| z=_=cxNM7V3A@%UdV0j2mI|H9F95-flv5T&1S=Pw)E^V7vdwMY}aF~gG-T>RK*SzBv zH3;hysMwhCh`13J#M#FWTE{*j@V+NKxFhWqun}-in4PG-);)4@Z}K~S99RLVdqX`h zfKDMJVlAbi(a3u~Anm$&@Y*=naP?^YZrW!vX~KQDsLny2C?oyE2Y>uQPDeI>io5D< zeSPUNaqzuOH5gJVq;YZ?Nq06D~$exEDv4k54+Ly zCw$F27}{#a1qrii`tC8u>n)nGw@06gI@)6icEPS^l@Os;jR8fk`C;jOQOl{m`R%u% z`TB0(#5!`xCmC;XuSWM+RoOW&Q&tJGDvXejT>+^mUPsx3aoIOA8so*7huNpFcKNv+5L7SnupcDvb@{_Y&KbE84T?F!6|e_3Y11dzY7a# z%lL(85Yrid!}5(hg3Z)k%-Qy0x9x94r~KBh^NZA|;T>k;y^i^1G9;|sGaNVtpNbar z)cyuEy+wBHE^37glSK{8J!&ac2PYIMr0J^%*s=s>W0H__IPv!zAiM3h%UM!t`GXf# z$No$BIdH27H&6r<5!=hP6-in(~Q zF)H1csICZKDeq+?P6y-HV|7Ie6wwk{x8`}qs@TpLv_%S8s;sGE8F{dZ<8jh{j{MA) ziev&=X4|n!Gh6J91Lw(1^O{3Ld0Chlvvuv8K62rYws#NWy@tn|!*@1u)||#Og%wRq z+T@_=8O8OKlB;Q;K+^6dny4*Fvq?-?T=BklsEZCV6> zdK6Ma|CQ)l)W$M&^$JZ$KrEHi8LSPNC~({yKRc`bOdoV>TG58Q8#c2O`8Y&^$Y2Za z6djPGWCpntw>6&rO2GNGZ6Hi3rSBv@V8!LM=cqd1N*gUp&XM~&){@^|z}liBUObpq zqbo#T9Q%PWMw9Bf7+IHaT;TmP*Y#u%-$7`kJ1_T`pj=lC@F51 z%(rJd`aeYlT{@p{7VdmV z)mI)wlR9Q5HCHDiOL6}s$>;f2w82uaq0#AK(&?MpK2=8BS32|04pnVK3{DPPkMHwj zAn7v^RJ2ax&1?zk)P5qS1fFCbb354ADu)rxWEe2yIz1u_gu_9LW#-^{Rts$Dkb!oH zT=h_cZq<4L_ID-mw{O+%|0?H79$zFCT&gouhN{Fv8T;>8Wx z(*wfCWd}q{VrR8dOzF~Q_UU=F8n&{j#`AALATCovLK^4GmrOSB@pVlbIhAcgkD|HLh*yFjX8Eu`?GuiNT`LvYggpwKK)qp9S z|6ucvUPa?pYc&G{fv+yYhOwkZdmza)L+4o7pDDbUX!#n%UDc0xoi68FrsoaQ;&sf( z{r{tZv-t6Y_-PxwZSTdplw~9G;-bb1RKCcsg)! zVL*Kg?A&)J95(yQn~ysUf}?sfvvfn`Q-s2DHr!ubWbm1dK6*MWs#96luSe6x#jleI z_55IWcnAn(s4FGntNH0j<^D>+iHsKHsN&SF8@IZb#bWUkWf~cb*Bf2P*#pJQJ9AFe ziWM5VrA!e>a#D5DV&FnJS|GpT7hI!ukX|^_@iVN-8WqA`ph!nII9jpQFT-2ZK(zpKyhtrxu zkx>;bG*$m;+gtZxs7vMB1G8e&i6L2wivb6zOS;=bP5wq$?%JRnBK}w&*{USO?dms^ z`G(2Nj{nnT^#x@VP+7<#DCfR(?4m4rpTTcDt(}4p#Fh)|c-9mA4xd=^?aXwpg*^VB zVJ0F@!ChCg@+j*l-K)#}419)i793T|CLs2(#LN@7kOHLhz|wmWbW_?(Q9#@r-;{%ntt^!6kb zd~=e@GSN>G)#`x#I*aqAPG;hvPMQY*MV@W!9pWeO^6tlV5eYY6ngM&CV3${j~IX_B@HA!T()ibE1wNUjuZFX3upgMJxNDKnme)&61JI&K;nSBMk z^uJ7#&98_AoV-rN&Z+g`Uxx2JlSw@Dt9rlG*;(g3@x_^^9QMLgOhkPSx7@fS3sTku z2Fn!{DcV`zUL@afkwsMcnlO*8obvAz+ETYMC0B#_{MS@bO@<)j%KPi_?&>EijB?L4 z9VYP+WL&WixtX^sFFMfFW=8N4#E$ph|1pVwsaFm2I3v$&V#IKwU zz7+=)5@`v!+6L9(>=9LofBE`U?Z~244ZgB!D~YdSaGrW{2EP!je9%$nfvK25oOgc_ zM>uS%BpHt@8nz9K37O9VGmn|spef$X-;SFEg-_U});d}>J{aKEYBIkM!~Rpj4rddp z^q(tp7yBMJfm)xW@3z}H;MSsf%GKYg|=(tNr0N%-;ZHNFHQ#dCxA2jX|WTYVqtkEvNy3O}SZ6b5DY zaS-0l0=*5Cb&f+dS8rNsZggS>S7?VzPCE1^oRaZ*p-4avNKk43wn*Ql+-<=*0p6X83FV`&6UlD(fTRIM>m7)SrL8u?fqD?|HRpphJo?Z5^2>0%tr=46Qxj{vYv#u= zN<9V4y6uxvhHB!q{+<%Kr*xw5o?^fzj5y7G?#E1h>#WYetYLhX?pQA*n(24Jq0X`_ zY3HBF!6FGmTBacpuE?9iamdJI$)cuwcwLU<|Qn$K60 zVaj}bmUnIaLuTk}-@Ay);jiEclkZLo_g>Hjom*%{9NjEa55XHJ2bovzBhw^fJ0e_J z0&DoYws9b}C8>Q`PhreJ)nfv}0ZCj<^ewY#Ob*9gs&HS!=*g`c;{GlDzV9H~kC*9y};@3joD6K}lAvV*gB z9Wt>?z%)C`Me%_ApimB?rXG}y3#7jWpH% zLG$yz@6ba2VtI(h0jb4Qlmk}j^X3UNYU(m4(a!x`Hj#-G94+?jMDOe84Ks&QY8!J* zs5O>JvU?b*pTNS&S<0*t6E^J@Y^#p1et*qPVMe|1p4TaA@sauVt^MOxt(eh6EGw$S zA~-O?+X~D3^y_1PTyUH|+P9-oyf+hXFLGk@^F^Pvj8LB9{;ti9<>Yl87$QIXRCh-~ zsT*T^r}Id15p?4Ha_2&uDXKf_k0w)aX%EiNWlJjqLvt*unH zLi7p`aS%X({UI~8a!V8?>G(>Vo&-x#6)0oP4?g`XiZ9cfWGrdsw}n-Q8*v{qu{upR zmWx(80+2^_Ka#gfqW}#0Kd(dwmjUA@3;fKFb(o7FCPt}Ig(krMoqOWtPoc3e$vjKz zYv|qLLW`nv(UT&;xC!ks<}K^}RRHrAv;OeqYoyW4KAT08u-pLo)q2>SN(=+Hsb7qf z5*COh(}5_1>DuC?jZYWrl$W+AG$M=yC)Z+_{?G83GI~(njgKh4MDJ`@TT#Ve@EJ*D zaeZ1#f7LG`@P?qrGN55kPaBUdPU$ZEI?#yZPm8oPK0&@8;>F3G*ssoa5vY10a+0MG zB4*^XIO|PIY;_;aAjION)W$5qp-eO_UN`{sb8YrP+K8xq~vL_Yj>!Liqph^ zkZP;8E@=If*RAwR zad)O5_4>Q&@qZ*LY$OEolH%T;7(xHtJbc8L=rB9fe;OGzx6D&tq?6+~UOC?UZj<6V zKXW`Co4waZY5TmL_WggB>-~SGeMxne%ZpEmuv`4oIpu_oF|tIyvf_7S!_26q8&tWc z!JSAsfCz>B06Y>wK|#$xYaaPjcAAfxw=3Sqj;B5ERkgHIcbVMMiX%{Rp5AV$y}iRx z(SP;-z73Mc?U2n8>Hj0ds3ds$)voo{?7vtvz*-R7Med5GBYs7`tpv<%#kauL_5XSO z%1q+w82q=G3Jykn^X3g2$_p~LIU`I;VY1ShK?CGjvb?#{|2+u!j$ahBmsrYPp(AD+ z;ViAIdC|hg193EfxI&>~#vp)RWbT%s|J&gBKd*6&s{b^JBPH30Fqw3q5uWD=Hv5%k zd2^Zn?-cq;1Rb&xD#gXcU({yg%_Vk1NFIcjVn0AU$O4&E?Oe_H<%B9|YRI`LB&Y_6 zxZEPNtqZHEFH`|tBdfMFX?cm#3FRM^#?!m(8RZ}_&G$%>=#5K#$zr?C^;H7 z=QVG?<@Lv*HjRF%m{=-;!CT6Re=yRj%>H^_%(qj-MfQOtJSUmp6RP1NVLP7P2QnO7 zx+wKY6Bq$-?tmBq=)EpV?mO!CvK@N%MfQvW;SFq_x0Y=zM3wt**fVHEEs}4Tm{osN z{y40zp_`QECHx}RSqw3nb~_ZF#I2Bwl!&1w4z%eg+0 z2&8MFQ|X6%qt1I^f`%`&Q0;rN2?e6G2^UD?D66lEYunX zt+4B+PFK!g=&8(O7iSRkqnvi{9QH=`L$$-6?A}`Ko z)7Bp?rrnh0S8tP&KRqS5G=C9Ez#H;oq1f@7|H2HO-x>PDoPNK?aWHQ|W;eD456Kub z)Hz0F^1JXE8A{}#BWK~n1c+Cu<cMs{%ierCmU}wa>kLFL# zfi7Wgm0gG4i(QAFE!^+D)JL`;bSU)i^}a1ANy=}Xp;yzhoA&K#xcWy5Hf+I)PrL7b zOAM?HhqcA#u^gT}rnQ878ZBbU^qpT2r0ZV2PWL+XX=3^6Nx;7Q+vNBIN#yBi6U>aC zF(5{LcDPJ%H$R>|<5f&_1eSroa8ep2ZwcX`qFz~=hzA+ zWqFJN=V=+v33_kz?Q36a4Dpde%u|^`I{RTNmK>ko1?PwJj=?X}BN~xP|LPur3&z1jog}LOBLBZ7vWBTbrEAK*kG!tomzBrK>QO9N>owtTX_jYlHluj0E+^K&v%3QLBz5msEW~+C{Z(3cH zTDj1+2z{nM(?bZas@YZZPef4zqp82S&zN1o%<^L+OU#6yKx?&lgZt} zUKy6X2Mp6k6MnBG^$kaoK;hs;jwdGa?=9bNHHsAA2YSOE_b*(kKAJYl{<>4X13}AM zw=knEbFfF0I9pss8pZLUGdN1~V;>CpURZcvuBKA?p?4boV7+1^O}k zJ|IREwP6FErE+wm)daSn_GB>~@MkJ$i=A6OJi2>)QXejhnC{K z(%UPS^%zIXsZnCKAY9ca3eUgEBN3Gp3G5277x+ZMmyS`tki#W29D}i0?B&xoeK|@( zjo+llJ}eShXC<>M1j+}Q%2IAizx9%;SZOEjqAif0lEw{5j@+5q-!~;Sv2j*4piC7- zptpGWitaFSU<^$ZqDyD8dK~;LE>#H2_&d5WS*SF`_b#NO5^xZ-`JCas)qshq$-*oi zD-us~OpBc{dF|J#&Wh4$!pz%W57t{h{D@I7H>?-B%!C9oVIMRe6lWbaiWMTrvbcS# z&gp+B+_jgen3y*|{!XyOB?;EMcal>}zM&o`(UVVK^ z2!$8@)I45QjH>xMf*2#_idVR_G9XC2FHhs{dPlC5JGtu(%YPa?^lSA@mVAE?P$R0S zIEeA?3f`2)dz)o_$^7VunxJRCniY~cY*?C-I;}?A)9de9q+&so>7W}p>{tNHgX3nuY7{+ zM=rUa$jCe&VjFz{;xpoI2wutPS<)bDG&b8zk8|-Uv!y7Ig!K4VKK+T)8603h-9)-v zJjblUJ|I@Wwq=`gCZr{&v`$lkIDSWUqDE`_u9*RRVdy3?Zq{+S7u7YTlN0!8c}1;@ ziG$dVk9GIv*SFCb=F}@{?qrWQW7z-%L@vRH2u0pWi28y1Z;@HcPY3B!u2C`RFwf6m|4> z^oUo|^M{T2p4TaTvPKN-P;;p3UAeqP-vwq1J}hCJ3X2r5b=~;e6UQ$`d|QOC30^WO z0|EJ6*zMfTZIq_2X|XG+Kz)YP=aEfQ#V7Xh>|2 z;)MpW4iGYhy=+M*zqc>IRbEEPD@Rd#A4hExW1CXYX_vh5g;y*drc^5OQ@=FEgge&y zom>OP%McclT;bIMngc1Z&c7Vre$<%k(oqsX&t(XNa11}1ty!JIC6L%NT=!pLz-wamFqA)V;i ztKf-YmPYKN*4&}(Qg`o${R|cllUsgc0a^nkQr*GBB65kpsu4(B!=}2#v3;Jixe|p)%968 z`DDP|8cAYbDjtp%cq`Kb9^gr+X{(rob(RmoH}d{a&NZa>9R%boac)_lUQVuNPv4fC zH2D!5%sz>Tv9Ua(OcYW^kFn_3PRK4=Y74(%u4nxX(jEn*|scmFP-1BwmE#9^|i^mLe;2G z`t)?|vwXtR34tcM56e=VhgZ;PaA4*w)mFhaFVAn@hu@AR%l$64wcUx8@LckpgcQW^C*Ba5 zrVcY~C9mxmw=~5I=#Id!a3B-+#0R|Qe=XlQzX5l)>aK6aXo zJ8y)Z^V&?mWkP*y_2m`aDU>z9a4)-waW92I>mtn&8V*C#8$?TyP>8_f@cv?!VbK2m zl@s?8d*;+2OW)u9`Er@1SQ4m5+xlX#)bH-aBL?+?nA@H8Di+SL3z3fi+0JO8Z_t=Q!nQL@qq)T@Y1M30B zdeMk6KO_gnds=(MzX%9SYd4R_eq)_M7{nqVK>*%B0kvfT6J8_ijQS$Oo&)^KuORE*i^b-;fl%@}RlS}vrF{+6oOeT4GN@{#eY@tR$hz*|QM(C~D&5pIL? z{RQB5r?Xe27FhPj3%8x`j-F0P0SAD#oD&$HCLQXYUhH#v-XF&ei;c~%TO)Af;8y<* zdL^iPw#C62d^cvFPqWk?NQ#`M02U&>R6teBi&9j(QO-BJ*9YqhjHaI59@8Ba&sCb{*`tGkwgrHR3;{ra`sO7gjy%ijvE$$Ddr%>*2afLUDU= z51hFjr#4dervItf)zga!9uUJ2DT<>3y8h;!jhoH4x&7Xt?Tfg>@pY*0J7wSI#>WXL z_oZF=&&w54!L~z?&qPHsn^L~NJqe{*-nA-Fj(kcNJ)4sQtoY2G zwR>i)Wu*5GapX%cIww^N;&Cs(OL2Dt`bqjMRwkCdZxJh~vu+!SAz3ZoE7Cl=`;?Pz zds4B!TkgIQd7;}z_(jzL&tUqg?VqjawEIZaVC$-+Q?20Ht+iY!B<$ba7qd}38MCpl z=tnl{2r>PWE^7mVGN1j5;Hbc{;Hb!x&;R}iUF$~i@6o3#(k()5hom#P?N{V&ZJ99$ znJh#KVf%asm0dS`rC|0rx}0sBQ_j=&MwV}d4OF77_GJeU>xTa#r-Mqq75Xk;2xm%L z*Nu@!G-yuUN&eYaUkjgh-}Q;4pae5%Ww6_hTzQcQB0q1d5NSg1wHy4Fw;857*%CFN z6#yV6JgRnWb8X*UREUiWQoet2Bn{&i7FZAG9w$-sHPHGW!rn3}jwnhOh2X&@xI2O1 z?(XjH?(P~0?(QBSxVyW%YjAf9{)(A(*W5dI-g~`@A5B+voj&K(mT!N1?_JM8|JBuV zCpM4Q_J41si590;IDgz8ZOsy^KODp~{}sL`C0bO9qr&$zP72zQ_KUIb6?$(p!E0TM z3R2B^rn9Yg?-Ug)77c{fuHJJZH{9N96)a7SMJO#LS(V|GU;ut~ip?#n)5q$(OATOM z&ZWb9@rXHOz{ov_K7RYw)o4%z&Y)=f5$z7bz-(<^PKu&*2#zN(#Vv)^NML)*5ClVRTZOzQB z#c2KN-;)PWiBjxczX(+_IN{}uHv%6(im=%r2`pz(VDFrlvQW(>v)K)83^dkIoETbI zo%mK%yc1lN@?exZ|0;XxJm#aC%fBYf;LiE&b9oSqZmIJpM}pwVI?kL67VuH{(IKcq z;IIURgoI|V0gg~G99Db)t^lyaAOKVgGXx6@yEdl?^GmRK<08mU@F5IT<$baK*hu z(>s;&SeI2Fn@M^SvkJKyf?rHQq)G7$$ufPfw4BUg^VAQyBwq9ELtOUxshnN}6PGr> zMGSG3N2s~w``j7k=lNqp1=4;5>({-uZ0>h$b!t zj1&j2O!xR07PKMD(KW6FmeLs%EoHx2Er&ezTo-rjXa~yG$9iwVgMvRj-|&e~gZe zd2vMuvYC@oG8S#c*cMjg4plD9@PgJB<|ed#;4Dc(8cU?GZWK|U&pwTF{-`B?yKL*; zW?!Gs?pPKW7T@RO^WX{9P0JQIV6uNV&~u>1)08fZO(vo8vCxX zP+0Gy+d<4!OZmp+E|Luv*m$`5K#z9}uM+yVXs<4NDILip-G9#zzI z2EM6j_h6Z2_Uw%$FvU0J=Ql$A<1tfMTw0=-Xk6d8U($;i+qe8s(^zpD3;W7rR!x>7 zB{m_OW~%Cpt32(*jI*)aDVBl?xOq!_*F51zU z>#HAF2s(n)Q|q4=6ZHp_@iQt_8=^VKN!c{=JcIUK@OsC?K-?B|rlDdgr@pU_lt?|2 zz%pw5A`2N4{aqOWU)%e-qW}oK>`LemRu{AP@^v7i9^njzRfhri7KyYX0fWdlOyic@ zfE4etFj&O2WX2y$hK9lhwoNxH1YtLv^!r%lug?7fRCA<%dy$z&W*&8MX3Cc_ZL-oC zZK^HMl5M%ctjL&zX#V7E-`8v#bc%u(Yy1$GkT9^#xz05DwQ?ykES+wv;qyf7+SnIIJ=kn^O_RZ`a znU4LH@=ZA&qU})?fVqMT9HmD>QK!)AjL!a+3LDxj*KVnO>-v1(>T>$&gv9W@yNlki z8V@6dhljg=ygjbP{OU8{eY;aKok&l5@bT=x&zMNQk{gx{`38TOj|`PB-WDzxH#1lO zl_M0Fci736u{a_kE@zf%g3uNNGz^AxvOccB zi}sfC;LVCIi{?&!GD77_8A?RE>TaPZveAD~1NO!gv=;A@3_EUMyA^mLfE&FB%2J4J z`QbC;u5#1jJy2w>zCIXXGvmg);U?hK&4}};$*j7V;3|1ibF}uf;U!_3ru8Le*3n-G z6<13X@2kO@*6F{72JIF^+&&$8P{iBeVFsWo=+=dlE3i|#figKEh^!?oPll^#4>4+6mwJzlBbKy2zu)tP zyd#+!ef;3cp$|1WhHCOK;8qsf-o?Z%6u{1l_7Qe&W%E`3Bh zbW+CTLN>(%eAToR1P#+~=@CZwI>pp5j;Lhc^iB6a2*T^j&aGo@aCJOkA^%wItH+th zW-(+lnaK**t(9^BDU95%*Hma+4>?=qlvQAAc_V}8bF$s#XJ7ZU(0JS?+0(p*E-Tv& z6lrK^Ua&}L5>TQMS)+E!!>Q@1bw08*Tp-3rKlnyvm{6iIFbD00N8p!T+Ef{-Tvpxx zuA|oAxGlVhR`gC#5KIpD-qq38Wl>hWY1NEOHlQNNVUM%TX!LGC(HO`6wz4q_wB8Ad zhsCTL>h^cswfANG$EIEnsAX`<>6jh=_K3LOIyT@1XM3r$YxLibZ*}*oZO8P z%PNjkHisc#4ly;fF$d1|;`@K<3eoUlEx(2s9rx{D>t2@~KEAsTo*e+Y0Q56TW51;1 z#^83L?da%;$!w0~_jan+0w@sovzj4H21D?sO;73^?;DuYrK%yzbM4*Db62CLHHQ}M ze8W+}dr-D)@zB9s#E$a6(>Pex$60an+2YijB@yy8p&E^b3TK!}*~im&L8s6|ZvX^g zZi4C=#j<>2eJv!reMG{)!#iw zTbHrsP+#Lr0oT{J0SlfHav(q=A+R&U#X(S~g&?uThiKI5()_B;L9CBCxc!LbD-hmM z41~AANM>8_@Uc{|2B1+$4llomfoe2FeYb)LqzMi<>8lhi8V9 z`aShXFwp%%CD;Wsy9G0+LQw-Fb?GBb=`&Pd6!gTSRv+~nOW|zT z`DA-TMNEb&cZrumYs&=p7nEkYk+m>&hC{PaprBdX5zNTZPgi0YaV(l}wRm-j5sj#I zf;il~=^egbfL;K}jlAR$osY={ldJ%6m*)IGP*u`yMu5WbZnigy5I_%eUO@7(13BLr zwyj~GZE=&6(M=~aM}Tg)Q$RaoSwTX*lF-ZlmjEG zQ2!z?Dex1cev?|fqvU-#tIKrT^q^6%_J7>+%YlGJzuJxAQ`FKL1LimL_zb4k|1W~t zjl{%4bFbEFj0Fq&LCShmpn-YAO50uv;h7zGoaJImwvo=M6U@*M*OXDvIVsIc_4sY) zjmXJU`N1P|uxcYg0vXS(F*F{*txvpp4_NT zbp81g+FF`O&s=)V0Yz8Xyj2|m>fE!w?cMahG=8!D{c6`!iIdp^_gM)3EuMT1Yx#Il z%WnUo?eZXsZIi!v&f&7-vDWomQ1EeL zI7|r)0!WIM@HUb_1=w=SC&X-V6-dWoq2lXfW-MJmYBYe0q||QSe}SY5;jgC>YC#2-^0^Ek;D4gt zMln3-ARW3fQ-?zFq`rVay`2_9G+}r9IsGAG=v(@>RVWSnr{W(mi%%wr0MhLBuTzbs zXX(|uhRQ=|VMeBI!V=b+nK#o>W)}Q>qUzQdAlS6A8?#VddH=-x$AQ&j^LXwRKtp}D zQ&SeNiU1$=3cZ&>?lZI%B>h#a<8?aSmpZSZVrmD*?y?UTrng)1{3Ds&a56GbOp2eNlz%eEAW7;(%P20 zy6%>S44x5bZ_*NRswRB@w_>{~Dz(_pXn} z5BA$}CeY^h=hLTiJ3lEM9XwbJ+Pye2{1N*LfQQ61>JjOdox)hL>BMQ627E9TnP~{<3GqYq?RvkZolZmz7m|VaC3v0}&8i{!p>A+uK8JPU zE!SBPGB{D2IT>o7%}}v4jwu&H#o+o7Fdm`=G?6L&(`~982bTEc>&aVsi(AH6CIL*$ zvsR+z`as1ZnUM}$uwR%aW(0?l0IGO&`Jc2RkGK1!8S~ZJf*JGXgLEtR^My!_d|OXF4E zeZuI88!@`06Z(_6)67{y5$``GsKEIHd*x3V#(%Vc6~wQ!!w9OSCJ`Sbtw-swxepYN~83Lw?SXlQk_A9_gJ>n?Z3hpHNxw%>js-^&F49lMSD_2=}Gv?7dH zA`kzzEfbB?T>*Rh9RVf_u{;&@OK%aik?qJ9mT}rrXKjE8)pl%tm;Mrh(1QE)s9|pG zXSjexksDvGD@=!gF-^K$r!5(<#-+`E5B(SaeIohz4Em+ToH>Y3Rg4*5STshr(MTRQ zZBlg+ppy-=W{a~}(t!BWVAY&RGG-R&yv{%p*MI;eM`NAjnS*&dIw`9J<*tLuLi+>F zV`n5y$2pOgk1POP=|hzNd@Y6}4?`s7dFMzA$??VtEocdR02aokD8!6TC<`aTh|nz1 z`l(mZLYYybJ>5uDKGVgFcl2 z;B~D>ovHv^m~y^M(|2zvvzlX80x3+ z{2xeXoMa0~P1@{#`o19EM3x@O z8nxg5jR^Po_Dm08E_7eKzifRldOcW6N=kkr;UJIePKZ^V&z8YXcMAM z8;f?-+5+Q14SJ`__k6|6(;F z%OcmB>z!~0Ym$CpX9dvXw!QbNjSaap{Fv1sFl7XxpRp59pV= zYV3_`Ts(3#8$!%KMCh$5iOq_4M4o4X*>bIegfa?Hlnu2e$wkcou9>4 z!R)rZ{S?om{Z1H#DSODzX|{C(KAd)!SGPHe`4DYsM}&jO@RdaDEXwrBZ!7%9I8pD2 zC667^LBWD!BYT*LeI-9G=U)QjM0;yQS=+L^@pMBJs0>2izC=n=k=u-PdUFdLIlY^w ze)l8!*m$MF>2QH-Ky$o^6{2F>H&S%Qn$V(GjG}0dKhOR^QPE+KtfQ>S4il*4FF0Ox z&(|-sXmV^r4^$kNe}TZpsg!Rp;6J7aZg?{isQ({ zCT33pi7}63&%orAHGA_0f|q4D55kC}(ioepC=Po5oLgU$@ud^q zNg1$6y5y!|H2O@m1P-Bmt;!pGfwLT!tF)jMNlsv}gevywqEi&HGUr%ZpF)Xx8DYa0 zOxq`=X}!Bd1~<@OYc`~A5kbI(c6y^U2*hcTDrxJwpj?;N{kkxpkFM&w9;j8)#I zuEbc$ahr|?8CgFFvQE}5uKY$GT~bgf9QKY=Gp(o?@xm0ero-gs_&%KyVWaPQ%;me! zCUVGTYAzH+*C`Ta4(2`TXi=GQ?GPjl))pNRoLkf|L*JsJBt+zlW}?n!pRnKb>Pjv? z;z!TT5ACRcIa1JSuhN+01Y}%W#DHNvIG+hHj(~nFT@puI;w^7(&6QfY&;6jW;S3uU zP=ykGy67{k) zDc4n`*CAwayvs~iw8dj9&^KV1Rdw+#k>6RW*P+bzi_y*Hv1&IX(w~CG4}7bPk92!& zK?Bciu)Pe^bE#w~0D=A0xrpTKa6U_+v0Ew0&O4kq#8;#zoi_t|R({H7pz^j)x^UmZ zmSD$O*-`l@(pb~J?Wrj=hN^3(IGUz#_tzgrJ^beTUGlddS}oo)T^>8#bypA<1sqon zf~~5PMvgN|sr5qfo2Rg9wT=4-CvOB~z}h&nSO0UMY0c|Mf3zkWEsK>9!}WriF^`Pd z>R>hUV4t-|;21#2Uh(!DydgAhD%XH?y*-%tq&^=v>sAdNqDnzPzl0RUhCumw(;d6B zqwhB^0M&PIT>pK_zrf3LpfQ0zTYK>0UpB9aK)Tu_6&W@%2yT!?wyj^-82buGeCdMt z@3kj>|6vh3*lN9@L=njaJ3<;X@B*d%k)m2w)*UGf8d~NKZ-8H1dVDay-?)!I?|zv4 z2QBEGrcm`-XpUgH?iNMgXv{{~@TIe`g|3#2N`A%l9Fn!^J;c7AW!qh8xG&2pp@~U; zm*Ktr#E%)=%Pvh*;7Dc-Y(fIC#1}(j#8`dB=~tijw-v(%lutUUJ_&r>+eyuW5p6EI zEEh&Tw>lC-yTTd^&ZwQki?&&6fbOcRH*xw*EzanQLp)VQi5T+ln7^NBLJ2#^-n;l( z@#zu#D@d|_Y+pS#S%)z2n@793I#l^6=>FSXR8J1vfY_2`O_PAMl>AW%Vj&%vDSr0F z@!-V}=rFQn2!pN#?YZ=08fXm~0A3dghBH{HHIW$F@_n%xjK*7g#6k&zQ$O64jhs)& zVsp205aaUA{aV&A|FS8bp?m0)W?#RnF^aq(M5vj?_(N3Kc?bGU(rGz@BHfcfT#i{> zs(BX_q~p)Xhrnw6LARN(Q5K@1uo3?2%xI#8L%usnMr$UYz>yuXB{k6aE8DfkJyt)x zwW3a0<@ahvXLQAVmlXSAx_vq4biC{3acgeGVyIuv4JmZmjX^k2v5a88vj5vg)0V4v z#qZ56hYZ&IM(3yY&S6!n zCq64i*Mxa^EDMUK#x9tbv5kf204c9N6tO&;DU{l_y|(-XcSh!Z+4B z_u)GCvV6NljWWC7&;~4pVO@U->^_%fN5ap#gOq1vh+Z-nK{UkYzom^It6HdAPNi2cg5K6PFQ9lFeif2< zRV<0Dpgot}b?JopeAu{EPORbVizP}399hNBJB%c7{;TTf;Cw3+*1!mgzBk2+8;*t_ z0aR*`bpi_$HC_9a;QPNJKF0}`rN56a9Dt|&1Y}1KbUbd3rI}@?eY%-Bm^RcR2}KI* zy_%6K46grtv$VzY_Jit=MUs`KsW|Ymg=W<0znf6aF~=j+G15OgAUz<;W?^M4CNfSG zvFyyBuf4mx5HEQPKQr&*qRAYx;i{1`6)~GA1)@uZ`v`*@A$lWK&_#Ad01N<`GuCs zWjRMHOwHBmty||xk6lkS2UOYCjA|G=L<2Y2N=4(LNSTn%@D)6U!_{P(ernaN+EcXT zU^wT9_%Wm}?SwCYw3?j+m2vA)VTt@yv^&>HyX6h1DdR|>6t=%ye@Vsq1L?j3Fu7tC z0qYKwwq*~c(RM@9$A_n(p+Q+y)e%Uy_{2G;%^aQ4X$d@(XB|33x7~Kpcjn!2)o09^ z_tK*K3-RI-O&4UkZBuKOxYg^wNe{n~D29hE6=bQANTtDEKntqvpH!@~zt01?KPV_& z1a4njp2vAekN3ZXj~A2UsWH0-v-<_gx)!;sS(@rVpx(SE)`GbzPuj(jAtNC}@^)ws zmaKObmUjgouKTOfE+1N@)&~x=;io&V6Jjv*`_g*a><|XxX8p1n%uc-X)R?vJ3z{2d zTYlh>`xy&EMouAyAt%9^T~KE~Q~iXQI1k!0Ictvgb$rNR7C}m~?wG=8PVRis!(?Rq zDAOuFT8c7q>J7}a0yB{UI*opWBQ-2Kyl^*g0%DvBd#O_~K$q6Y_#$U+{+=yA>2~d7 ztr90jDaSj9k@{PrX0%u`7d|u%VE1WvB;gF^NGdH$N%c!sUSAb19qoM?J?9gNOLz%| zlOz%;f}q+=7^5E|J9=ac)dilTWj={(cUPIts;Vlpx95BD`2G@wg5jyDt(T12%>Sa# z3l}F&Gq{mQgIa3bFrw z5GC8bq5OZEgMnfs{=;K>}FyOGyx%V;Fz>ziAGzPTiK&fc!e}K+A~k zFPFM7w(;_bwRsoKUVX(%dM6)T9%HXFWF-@&;Plw~!ub{kp!9N1!(*Cm-=?gezSuDj zXZAYaYH+6+8XZEdoyic^Miq5a%zNnx#iNDO6mQdy_m{|Yd=)qQN4yX;&&k?`Pk~f1 zScKE3za}^Ry#;fB9e>Qrj~r0PFz^CwQt50rhWkxGb`nLR>|yS!0vaX?)E5zD#JnTd z()F0_i1MLaWqI2+dJ~;Xz&b?Hmi~PxVkk_-iYJoiap8}hN;q0Jtwqd`l+MpYXZMyo z_g$2Dh)wa-C*6EpEZcz>B6*kIQmM%=ui~{u$ZF-lBN_OA=drxxk0HZFgo`%BIFtWQ z@25c&!=42FyYW{EYb-E!x+8+<*06pZ%6OQLT0iH_&>K$sU-QrcERh0> zc~i9@0_rwI_=p7y>@(&MKm4)7n?rXt=|(F6cb8LPAqLy6Aa2}ze=|)0FLV(lLTpCr zi89=`s%pyvk@35yvqf?+-mtI-UbFWMlBM)OISZjwN1eSKr6!{IhV5JtuNmr0GeL#1 zSaImq-o@vy96^OaqR4io2D+OoEjw z9CdxX*+p}H_dw+PpFHH}rcI6FVjM>&Cnef@OCb8f>18_@_CL7G&?`iM-NLqR52mK$ z@{NUs<$TD}%Bto0q^#w75Qi!C|IMGL0ekuMJmGOziGmK$wwJUg<1j5mDm ztDc7?T8&y#rIk-d^}io^A;v&n1>mWSI)5Sx|JQLOq=8!gx=Zkp3fNTu_WOSxaG3F= zCIDbjtp=R6p0#vJh8{tNTeo73H5&Eb&xIEJK>bWE0z7SMnIfj@xr2!ej)!Ff|*pYz-Q{7Fb6Yvnth!Om*u9laU`5%TH1WF4`BDHF{ z{`Jm4BsR!K>{)rmUnyeD}Yg z7tOl}mX?;7Y__m|syNM}AhTwasFA?pUf!H4$TVgt8PffZTE}ud z#}SLDE8mK|w+xD1l?J#=tGL-23l@lUW z41cHhO*pNvzA4~@4QYmzxQL4nJA#IjLupKoI4{-;3ReiJ;DimVQ#umWl4EEz0_KNL zCD}YbaQQcjUdjxH5%e3l4yPP7BYfqCuoBI>0^bR-GPL{A21YX6l^|>@a`fBAg$(r> zOOXz$yGnqK`d*Uae=<-xAwY*?e*$D5R`^n&R1l#*BCC|e(dQ1gm=_A74SZs6Q6-vk z$~J`PPM79td*>-Ghwnuk%3}0Df}_Pi{xbcrspI`GiK>Vp5-wkohW@a;q=;CSCvyN1 z95G{8l%Tl~P&u6$mNkw7%Tk=7SeisHU6o{BoPS`OURK!iM)LsT@^H)(+nzs53FHdD z)fx7s7G=5wW8dbNMhP!yGGn9Gk`su~p43T@Z4a{=I$$U?Ad5^2k*ut~%mceHDBuUM zKLL->=;>x(1FPKoqUEspW|Z3FZva#(j~6Q|B@0v~3p#d3q`T!FO7>{t=vnRDjW z_vp0`ZX_`NI4P=;H#oKOIEtqCtmo;6hozVr+1>tG*pXvX5=JeN0$So47iBixaO|=z z2jxM7PLServ!leD$OAbf*RR4~n1xIKT`qDth@^u8`GF*6__tr>$j$i9%i+boUqkTa z_qZ@!yMus8Fe)9j;}!U_wt}J)o|MY(i8Zq6@{_iq{2#YKGut35@lAm)1oggZ7%Q_0Ko{XsUOKCN7RgvA82v z?ao6B#}BYj5JD?Q%F!n%PKz&`9v}E15J=(H>k4kR)_kT6_+kOO==I_MD&Uo)@-(xn z+H-z%x||P->qOcaQ3Y7*m-H?9v4rUaL+7 zSUuGm2&fql4$cI+in`@ze>;gRh^DVU&Ybup>iB4iaILQI#*xa%nes@m*QTu=P{Raa zG!QTy6)9%kB3^T$1>x5^jqwN!i*{&@Irm%-5lmJ2y;;5A74u#1M9|%=T2+y~jup0D zv_=5=$f-HN2a#Az!Cn_FAvZUU?*R5_%B&~o8aB||>^-&fz&AE2ipQ_K5zV$ax~uh` z4g|^6Pc_D0T?B0;Fn_PR1nXY( z`VI4dgh@LHV%<(#&lHmiy?TJXtl4|dUHhbp9k_tk-e$Gq@Ga$%L%Z{%*B00&Yk#cS zqe@zN-ZEao*jbcWGCQ<#Q3!+AKHzM(q)IFa&%Ge>+OP##xNDCWfdFB*pDi!j1K7-6x0<%*vtBX| zUkwSbz$ zAbG=@r8sm%xGS?|OH+_FsX3yLTR_iHknN)wWtMCq=2pL^k2(#jlCY(+9C0APs0`J3 z1vHwm__|Q!VOHzT9X#}bU9lM=aW+@_yY_uv*Ul+~Bx$};JL@xg8Jr@&_G;BTWAmB2 zh6GM@TWe~%Z<3+|*$vo1nTg~QD5a$jF3J9l`=A(fy5lZOIw|(vJwGA5?-$glwot$R zg8t>oW8bo|BjD$Uq|!9E`_!J>YD17&0c$eIxKHg zbLl*Y`mEy<=?V_{?H5~(&whlMQg2#s?b|Zs%ZQ|U7pvy;@3bg?ey`l}r_ZxbWQR~y zZ$;+cz41`vj9Rg`hLxm0=XEVS65uXIOj|&{pE<;w>|_+p2gPYxdfB%uJw!6r_sp*LLXHF2i#0{^KQ7Eq z_*e4}Vp5abNKJpcnK8kGZx5rVZ#@2%jzAqe_e=BMXaM+emB;5d*a}TW=X<_~V)FSaYw z(R%wksCji%`ewDt4ZIEo-2zK6+pP~ppnarPXvvyFKip9{TI7@Zsct4?1$i?>*9lou z!eMx+3$Wp2($FKku0zlbE(cU<4IK~zaD4f@hl%5C*(wz|bb!MJ;ixmDAs{@J2O76si$JC~l(dJEnKnaJ@4zBH5}Inq|35GQGC z8vADbaR(K!M1_IK9oO#u?%qH%>AA2$k|4ulvlo`Tqw&%C`%~Etp51&p=R2%= zpVW-(IQV^)BXuSAH|q#-ZfR0+&d%=wFVs|{@hY@=3d{JVEHQT<5- zLDndd5Gbk~D+v@kC%r4gB{g?GYTLuD^%gut=%?(lO-*;!q^o^`tjJPbU*7}(6UPk$ z&QwoqD;uJ<;6AIW>)lhER_�bo36<9-(7!IYZ;r z338(lV4s@M6FzF_J^(b|H?2PmZ=Ig5HVEl7&lL~fBx-Z#q9rpb=b}NWn3!y8^V(19 zj~^Eo#nG8(yIXUL3&b_09iOof1_s0N+mcC-l@_bGj$L-W&NS2Vm!hRI$gRG{O+Oge zdWy0ps^u9$Jl`?J-(!;i`D2JqbAA$(M-3!%MW+p@GsaI_wM}DXvJzeS;iPG?q)suq za>EFs13|*i(F$|XX>0L=p#oeC=cjk0>df(fhHje@M2&tSoM=>J>XfnFiFzb4o05*i zvg%MjOipTwu0$3ER_e5|7Q>p&6%7BjP~ti{Jcg+qoH1xMr8`~`uMhcO?Bdc=$FUzx z@|v3A1BM23MKU1kKqdSw(*N5js2|m;)@_UrHmPWmTIfRQfI2Zo^m{|*G^nq+f z8`~biOi2NPL(1EFNl=c(9HG%kGKk{+FZGTmT^e>{!8fHzPw%)7$)|KZe=7sM|5~-h? zG*u}j#g%{Kti6C?49qOz=VsxYYOK|Z%qX)2qX7%v+7QP{>n3fL=5O4rc+cvXIY*fA z_K$|92PnvqarU*yM2o&3sPt!;)n#$@?By7-o+-p(+Amep=ALx96>(?F(#3_+Oh@D- z#U7OtiJO#F;YA=JPp|V!bJ0R^5sy#Uf|vB>($bFOvT3Z#+}H){PyAh~RHReB!2LB6 zA_Ul4xHQg~qXxrQstHZfSLhL==DDN<9?56$(Q75RvwhJU35_E@$p}Dza2rtbhjxB1 zIGh`mamA?Q(tm-1oQDA68E?r7Z8Z!iTY z_p1)-Ce(+jufaqII(Vhn#t6e4nL;r&VBslB*&j5VCc-a75{z+XA9$i0<8Y?Z zNGSWKQq9IkQ80lp_3_btuyRKAE?>jrS+uwwsYGZC*&hXrWiD)o!YKh`O(P+tC(|Tb zm8y{D!ve0=;(UnInY|)qyE-$1^u7zre#0OZUfKb_H_v0J;Orr7EV8fJ{OEFc?oqoq znbe{hJBDQGVXg4Fq5ZF)dD44VRko~>KyI0|c zYQ&6%n3C=lu_oDD`B-+YiX@f&dgOpRTpQ%1WGXx?rTsfZmMTr&cW54gewts_;a!$;9x2zX5sl`t?lxPvh*JD@7Bsn`i9IUk|1iVAt;SLC~R)NVGHHYP`)u0 z1@QY)^&YFXhcaD&dONV$9UU%-3=To{^XHwcAYq4X#^a;d@M!#ou@LJ@{Ns5wbO12U}@qV44sis=|j0KO+sjGBkNz6(!O$QT~Eqtp*HME51`vNct4)}(L#4fl)V2D@vlT#roFc*(SYQLH6qERQ z42bqb_x1|D-sXG=1De6}@gj=D=>R;bq_9y;#YSEQ$N$;QpS)=rVqM&1-VM$TT3A2= zW;-^iMzD&lZ_78*@{c8>GK;GnD@^i6DhNvO@H161j$DzAF}Mn-Dd7^!fd}T z#$Hb8ppeRLkCB;vX*zgPA8Zpx*dQ86)RubzFF?MD3MBu-t|oVY^4q=y~yCu1YNH|4E_}?!qrId6J_9e3nU&MOt0%bCr6n1f8p>6*A1pwEeK7;x|;Vb|R481>H z`YaaJ9ZMwCi${+9UoQn^lsNkkel+=IFQ7Y^KrlQ`ut8t&F9vMl|9a&wcaxHd1Xe$m zgD=CU8RiV_1`O?5B<+Wp6TRT(i=&>j&c`!P;9Vev8Y)trB!_~#)E=1fkXz0e*)iiS zg_U$Bm-NYKkWcx9VY?NcuMDoPm-`6|qgfhUYQTVOw7OU^8)zsi&r8lA{hI7d|AK3e z+r0xO^%oftvM@8qT8fo%{8+5MUGk7txz$bI&Ewojdu?qhWFZ!|j0j4lvSV4V1N@~d zrMq-W#Onp3`lv27HK|W&Vh>6|;D)Bu(m+I9~QthEEag2ym^nRO7UDTMokr>!I;hpUL&-!gP-rFEV23hR1MKW(@Jr_vNUK z=}AvonrE64P9rC^C`xj)`7^OUWoUdCdO?B40;9aQ=)r7NO=|{H9nBw_z=|{XDtE`Xng#+X`b5oi`YmM33V0Kbe8d zV}Fja7_s=y@nDNp&wi|FbK3mYTQkjVb#az$hV2c8^z^wezbJ@-Gyh0sdp$Vk)|S74VvEa0 z?CIqw?G@2@0A3)Ip=`!vz8SXKaLX8t!}nfxP30PERf~>)Dv?Wnc8Q$k*6LyV7=FsI zYuDec(*pw5-l8pnfqvh(Fg>lha9IubeN}coU>V<8y^7zIo6#u9?}vsnr82T&)%EUh zZ%R8KW!JQxSQN+K9IRLQ3|Q*zRL_LxYhN2DB9d9kfF)c1H+gEx9dGH;>a6od z=N!`eRS;ik)EgffnodTn=};gVCFtq7r)^FC^%u{Amp4k13#+PiZ~ANl`IbL-DMwvG?x5 z@CoFE@^Z)XLA#gYXVULh7XNHMz}P!BLO>Fdgk@CEzjr_9V|?Cg@f%NIeY4U}OSTF!ecqXusXP$^QZOCyDw(T*?Z5{$moIQQ{DmHpg+$v8R*(coDZ1b zd`RYCdm{aQ`X3Lcij=-g^I2$$jPMUTtNq5+(bt=6Hc z^Z(M?<<~}cM}33%=+1Q|=rJ^Zg(S~cS3UWDE1|r&qSOJ!hc-SGS`Le37FwouVUJ;G zbWP10Hp+<;t|x4|PIy*1{vRi5K9H}jOd8b2Q~tbW@J560eIJ)pMGF@(sdOBtQ^&0K z7U&T?E2Dz;^!OA>8V?TLH+cI5Jq2Za%C+ROi5zT@ZydsLMbipFPY|$QlIbYbL&2hZ z7hy|4X)92EPrCSyaVrLXU20T~4y9yuFGP7MMF*$+c2-sDM>4gIn@wy@=R>Fe)L84b zJ%bCVbOQ~Aw;A7hf%Xs8NcrSy8q=wReB8Vb$}hpx&klPKf zV8$K7h6r^D2<~piEg>1p1HqEb)Te@w-*fVk%ulfH4v|FC!F{-+<+y3}pRU7(h-PA! zEw7n{t5)?@!SJTg`ZHRaEV+ei1dCH+_2Il}r0U?Tov|QUK+_iMz9cu*A%^H;Kn3QD zv8^e99&)i>r;74LP_7P~p0l$OUD zk0X7@lm|kMowochWn#GS_V)wCRL$+U2*Obw#>N4qJm8K-WJ%d zrx|?FB3t`CO&p$a3pFfb@+=ORBTwwHltn7owq_pi#Tjl=C2OWEt9QyHnGBZJPLh6S z%+7G-snsRt*mB@GJU>qAZ7;GU}Smm{*^o0>&DbrU@ zn5ObYW2`Xivn=s*m?Jk(o^p+7z$zEPHGjQy@<6n&AbkjK)zM~@l?Hib)Z0`z|8ByQ* ztAfM#Os<-aGoG_QsbB#(X%1!uRyzyTSX{pdJuPV$)hx%iZEjKHpLa7&8z-nUxvDFG zQ!D;qf0^oe>uvUYfk-LF{XKaPXk6~mtPEr`^Oy^X-8kzDsD$+8ah3?)@~S;KfeBw4 z&T7nv2RhM)Vn`npPb1+r*jQufpoysoahFn_U-p0zkoV67O_eT0L59Ebjj_HCUMMq< zN0=KBdcA}3OVw45pvqYgc)N5$(Qm}+cUTq8!82j^Nxc@sSH*u_t^WB=X2~yH-Ra?& z;)8+wYdpxR_U0AgC8yQ`MHIEs`c?L2|6;Y~&8GC5Yr%(s)z5wVq+YTC5H!q0;Z!)7 zO~&G4IQ&09zkrQPE8-(BE)A<(d>8xOhVrG`wwlE~{+q2zCC_v}1V2bpdNWK6)f8c7hU~gd} zpW9th#D8d}j8Yo&IYmcLa((+Zf7`0wK|6T4U6My6E#azKks9bTdLT3Mjwx(^MSpSc z2TPa?0^il6&?6W6A}xOPf?t4*nA_O1dzaW(fd>Lk|0hje1wlY!X2Q0*&zAkh*e`Au zWPK+{mw|X??*pqU4+X@+ej4TGd7HV9nE z-YrwDtLIZMzDYG)_*PLt1Av!YWfX-{nV+uURi~CX+qY;}LPj(jv1&5>mx4AmLWYhH5Jx ze;?3DX1I~?P(BdqI{zQW-U6zscIzMAv{DLeLQ+zY5RooHKtkz|5NV`CQd&{ifPf$+ zNOwtxC=DW@bc3WwOE<`!`#tCX|IYcw9phfcc*iU3wby#qd}jXUeCCvCnogCSb8S)& z*taO$8ho*-zL0-k$eZEAdr8{MCrDkw^iPT(yQ=7(FEY$Z4L@e@WBe(Kd99kj4sctz?! zIHY5D>-fse5B^QC_^Gxe6QP5kbRuHz2iOSK2&S02uf4M0&kS?s0f3cf|X=tZ@+A9s>XER%{3+$IWY5UrakkVrAb{8U3M~y?_8#z$?dn$ z`s8k`{8w05+}k(DfH1jV>|DF;w#hg^Lt`2%T&=6+7DrB_H2YmVw*K4^4}>p|SQ7v6 z$tp1XT$;Un8>w?Kd&e+W*Xi-^&!tITuUS7@wVWsgKl@C_UT{pmc4bPZq)2m~?px^- z!guM%y%V;fq)$np?7QvJbB2?LkJ4sWBWf~&&xI5AEo;Tw#~vT?;ukdRy;sdmaPk?E zFTLhnX*tIIa$lgD)@i*JPwXN%oV@Y$q0kCf!jS#Va_%3hY&xH+&6NLYJ9+N-=5$=E z%XoC+Kb~VRT~snOaUiy{eKL|;R$>|1yT>Af|J9?OVFiyY&cTB<)aJL@`HRUl?o7>r zHO!T7X?T7GQJGg*IUuLJaDRWkba+o<*|C>dWkTuoxTv zU6&n62v$n#UEC032g|Uki(~+%Yu~pqZ#44)02Tx`D^U~ND7&cRglO*Z$afe{> z0S26{5z+B;PMcR`UdbXA{S5YQG#t(N_+0!Qa0x1k6Eac4G% z@JkyD{K^MEzv&Xma~{2WnI%*^_79(MrA?y+aWU@VpK_gu^ ze7jqtgCDQ+tLEYCOJ>53Myv?mEmVi2-uutkfK?)-)b}$2y4l^h0u2ae8bZIN&M5g^ z);*A4Q4$t-S`oL|2amLIXxcfCHENl&IbxG!3MH0{xL3q=*~fXeCfZ1CwLqDwt}?o* z!^=72>)@VQ{R7SygPODc@0~IysxmvfSwh_f^vUs)alTc#%f*^WHyz^_`Ul9{o+x9= z4xQ*fv-?r^LhL8c#ZrT8vne|E%Bu@XRm|3;E-c4)RhnJGSw>!e z?VU@76*oMhnZ5s#F%%U)zGh1Vb5?h+zBVwV(U!%c z&U+-ecFL)|b!d5NoDJx&(IN#J{p_tn=@O|m? zwHQ0|F`mo1Db@^^GZROOdaq}EyXyF`CE(W`%(&D9@k{wR6E0&xk^9xmqN4)Kq$d3y zdj>h0T&37Y;u*S@I^5r?U7LP~0-ljd?$oeXO91#+m8rR`YnG=Gh8z|fX9yEY{q{oi z!K2|MhY>yA^79ME_Ms!W_vYQ#$HF^?l2WWBuWjd;$&lVquPiMLsm*95+IPV0lWt!o z7J^W!fsC`BH1c43bR@|^Yp{=FTPI;}#RL_~?$v%xG{d`VL2Y$kV<_FAE3 zuqRYqWK>3^D7RAjwy{>vOqAtE-4q>r{dt>2$9g+BPPfFx%rp7^84qp)Na+IFFSCQ>6gk5s2*#9Ub(J^qXp6tZS zNXWBD)fZVXuvcBLo*G1Nttyk7aD`L7k9q&{G?lcyMga#_=ChA@*T*!TBRZWahm$&r zdZjf0`>NQP%RGH` zGr2cyqQ6IyqBBmjEO*^rSOO1V0t(=>7CWoaRcA5*w&9qF3O=4D=a3t7xh)K83;Fjp zj~awU{|Y;jHhi*~th~7YX+dbc@Qe^&%Y5Q~i_LnEAh-G(MS-WYJH(@=s{1Nu8np;& z{ykMu@=qflr=P^S*+lNAGBwTvOflM;v5B%fT~u@9;9Vh$T;8?+nzEdFj&q>x6Qt3B z-?k#gDCWoi{p6r;g_^n`ncdwYVPYZTPo(klepAmktxj62pV&Vp5=H7n#MGuMloQH+ zV1y%$r0Q>l&p7|ZwhzlW$UAei%o8VC(}$ZfzBcCxZeVwsE+b%1NPl3ZV;T3=_&Jhh zD3}PbwM58%NR_}RRwaLEL;Kz4C^{y%oa&kJ?O#ontCu5nu->J3IFJbhE2dr|BkjL! z!t_}GnpQG7uE3XiQnK()1%9@L4EIMFUp0xsY<9gL3*}wr&Fg568z8`>bPdJ9?^sR0 z6lc>V1snxBqm@;qjpp86ed!O3l+HnqSrS!W5Z@$}Pe6g>#@lqs7I2Um7Rk$8FJ*Y9 z*_-}XbVT)~K^KfrP#X?nh##Oz&IoRQ8wUPQx*`#>eQ0_2c8F=Ro@0>S46)1|9*BtW zA*rwBa#zZ^wBxoqlFX8u<7L^t95Vg8*PZWHPwut1v9LzP>j}s|jNWnbN~ZHNJW5Gb zMA~W%6AHAfepak%LbkPQCHEkj`gSl#UZdn3U*m9lYX&H$4rFxS$oOV*2YZxFNBho@ zWy&oE6?LsV{NN`yL}Szi=$~a8?m7@&&)Bl=JT!}#ZpA%m@i##bBFo7VIn{+-*T7ch3|67^D4n)^Eyk6RuxPO4S;P{0pGTF0-`?L| zLWfHYN%JP?V2(Hpb+2t@0zr9P%0$ROsF0feF$J~&!nHK9SI(y8oR|7pD;+(_@to_1to0&c zj84xhI03%4p_auaekn8EthSXoRHVwyK~#xzMm(!0Ic(_FsqPXgdVl5DB@@YaFPlt^L%szM8lnb5FVeGi z_5(wd5PfQTyW|JtGq}07PjwfVGfqDIVT#dFkymWz#CyjkWnX`edm4J9Wo3e7vW5=Q(blNEny}b zLFEIJ-WT2IPn^6Du9s|4TTL|Z-oHO|AZ$2UTC-*2m_dr*=a4rUZ&cH}L+Mb%{HC8o z-KFd)>uY@AfL}6Mm$G9WPq_=7{}L)I=?h(FvWZb(1PbmM=qx-YR_1hAM4?QR6r8bO z;I%BL_0IrQUZ;3Do}5MRDYwg~n&!pnkuDMv^}Je%VfMna<+n7U#M$Y!XU~OyJ};)H zR5w_Bwi(b}-|ndAd`z(Q?GGTcsCzdP9&>R;ediMls{32 zWY+W{ckWZ~H5{2CTq}LKzz(Gmkqq|h0+1cW2($grSY^s9i&RRCX_?cfE1jA19r z2HVrqW$K>9_j@&8t-`2s_xQ z4t1~Fd>JP>dbWm3(gB&4Rrw4S5SfA9Fkb!X<#S8c-Sh}G{|yV?AF)NU%0Eg zB>I|zj|o3cIyC@$(hViH&L*K9|7LxtCSArofr&XoO)Z8$>xLv2PL51YfkL_JD`^Q) zJ71FE)SvRhM`g8P^X1`#K1KrEK-Q@_67@R?gyUBi34fXU;Kkb#V5?9O z{lsW%Hn(EVnf%3G>Yf@f>kvp0ahw2NT}jB9?!Y z;;;Drw*=QIDF(O0dmhL}z1WY-b1Um1k-Ph@?0_kMd`#?n)K&Go_xslne8zmPL>}z2 z_9@NAh&~)PnRtjQWYZ}gV#Y{ta$K^P)H{ZL!1FNRv1N6*(1f2_T|+~|F(p~dWBzxN zKjz9S+^|Yy`Cgu)KV4plau~f3+@*V?bfS zlNq7{9&*v)3m1G;p4+FN*#WcxlNDr%I+%g!c*u6*`V@~uvMT=E!OO`GLgIg*uHrO( z)Z=vq3ua&Q!Z@Zfr>O3Ycj=?M?<-`ZS{85OsUaetKC+h>_P|4mP5n7n)5a;7AikMO zri_f8`m@njXEGTJWaPmq%Kp@~pI5zz4t zFY>97R+WTnogG5OQ(P?F`e*uRywujyQ>ZzUu28P60NS{Pz<+ zO;> zG@)S*uez&7#FVvNqCW6pC5~Xoy?!d4HDzEKLi76Q$UCjTdhSv@iul>*uvzzui2000 znXK<(KkYtIZEt(X^rm~F^xq7wV3*S49T*WQPc9`p@TY{fwdJa59gzmKBM=qG;%zq` zE-GWok~D4byv`|>SMRU7T091~kfhwctf^M&D5|wjla=*_NWwe(svLQZtypN7V^DWh z7kW)^VNJMLsgBQuBXbeitcMvnmJuF_D)DcA#nc${(qhS}w^Gr`-Kp`u5sKf@yfKYH z@KQy*{^=*Cq~suTZ=Qd7|5RP;$bZYT+Iz-~cTZYlhqG_(xeJE6jQ+v<*s9hho0O*3 zX1++pW~<#AaS2E!*FsCUzFbv?#zmKnNew?nWfOv{82E{$usIME-VFLqr=!<5z*YBy%2{?VO zdCgJ&jb;9xMLR!wNmlwK_*Wj|Mm}{+V9K;w+D4|=T73~xzl;z(WkFI#2Ir7Vm#E4( z_wWC+oKGVeS-%`=e||O)F=Z;y9IYr%e`WQ6?E!~-<*~ViSsagH=ybg|vzXYVm_5{k zI0@70mYKeuITWTPj){#uJ|k(Tj(R3cd-sHUx3-4%%iCR_`tr~n%5-ZSZd$`FU88*N zXTlVidD{j$ddGLI^vzS2%NjJewrXqc4dS22X+QGEl;hZcucIeIrjLAbWagW#yWqqV ztPnd>-qlruphc)n5|4!YqX&6CH7=0k_`Ub;3bZeSM=d`&BH8G zp3zmE@L<#69J+w+s)18|ZLy|>aiSaF*IBB9%QzPFH&MZZ+u(CE=@iX1MJG1GHZnw|E!s2-W{RH)ywK8;A z^(_Jy>5H%8F3frj3fSM373W5355ij+4E52?S1HDPTR;DPqEyzjF+MDnPsY?BM2d=$ zo^=>c(?_gvwo^xXdpDI&MBzX7|4~R@9xTRG7+H(%qTUZWW1X9 z{(o=}Vr7Z)m6iU=Ep?_xD` zRbFSX6a77hIr7rCdS|e#oKLV31S9bJJbJ$%Csrew7{8>>6(w6Y+ z0%lykjTr3&kIwM-xGU_h(7UY}gN=9*Sy3Qav;Xq)z1p?H4BfOr3mh&XstDV9WA+>< zSrgvltLmsA!1b+}xcF=oT!8!cCk8Hi-4R9jrUH6vs^aSCW8Hc`?ulJ-iA7?A4Yayk zGxdz%emM2;tT>&RJE4u<`}gmUpi0Xphn$kKb@AEonzLSqIbXARXhWEita3X0WmFi= z>wv^^pQ9ZsHkTJx@|1jqc zQ$aBeAtaT$k*wF8N6PXF&W!5$GM%rx*1h7DCD#QysKmcGI{K`x!I%H!eSv#Gvy;{u zp4@He+y{Z}&o~MS?_#Qnad9Efo9B!@Fhl9s291Sj30CWcc>e4J3en5PIgLKb7|}TV zt`rV<<(+o(-mak`t-a;`%;vilVacyr!L!b3s_ul^=x=+Kxy zWjQ$qK4P3R;uQo-hDua*Tt@wh88zWcCQ5UUA(ks^v24Vm=#~>MZR}{a4ne6N-FTQY z*h0lkGTgr=#w4;xM-`4$KZs-{+1}PP;U|`AZcu?o%bCs(_N_#>P;rn5ynd2On6x3P zTkL<=+!c%5au-M8p%>dtM=Be|(2OR#YcG#pb@)Wf++WC7P&~iB>J_K?t8c{)rCLkr z?7V;&iukInb8?G?wH`ZjTWkH6C+_9Tk*#2{{P*i`GxvBA*&ST&TRZn)XUu4=l#<*o zNr`LAId{hU}L>kFFPa-o(c<#BykizN=sUO zy>DfJQ6s!^@A=jI7a1&4+LO|`VIR^5LncH6(>Y1srHJWz*ru^>BL)!b_r1O{ExTIx ztrVfF@)8wFHW5i16m5DPwBjYYH7E_6r$HqVz>~asq&)Tv>DiPdv8!R znA1E1r7_9AH^Zwn%#wF=lj}yP7Osp+t;}_sioFweznrgFvxalBQ4dQFJ=WL9SDmk_ zTjif<@4VN_fySBzv zaEYFMeRD10w%Pr_UDxG43?si|i#6>3h}30~_qh98Zznv}L2F88wp2aE|NN9Y*MVv* zC`C{4pSa*ZFac9tO)+5y{TjT%l+?*t@x-D1qM>^SpN0f)|Mv}^csxG8>mzKh9@ttt zvY%&{_mnmGMYb{Te_e%aO-$q~dLX3}H;SFIWXx3F?8EX7^xJ^>WdEMs&BT{qcCNJ0;lEB8BoWrjA11<@ z>{BcI{_kk<|Dqll%sLwrxCkdt{1#fpL2@nbw$+!NWvN=WJ14_En^x?4&r9XAb8!CX zb$*QfUzAuziAbDcAb5IT@X8OkHvaj1&6~6Fl_n>#2YZy9Isy@K9TF?2qnqN=zi)CX z6_k3r_-$>gKm1>-O&HX?gm9|OEP0xZNsdrkn5O)#pda*%cf~V{j@FPzwW++$#JCDK zI=0#C;J0<{$C>&q{;jhIp@tBP{!is-KZy(7L!G*eT8|87eDBw|3#i~4i6hDQK{}_n zx;djNT+%nqet&z7N^lV|yf(#K+U)yLrC9kgIu?ruteg__FANCI*4vm_=P}eK zIs3?8hm05x5%t$)7G+sGiVOP`-APD^B_hJ2v5VL<)~G1>!uCx_jq86?#eg$VIv%q| z$Ng7p1a4YL5Z*{c`wj0WS5}^3G!<)mUTlW;r^LGLbSKsNH4|d3<$GIN%$gX}+}u5{ zg-Fq@lthCNeajY=T`ifZNyb0+ed7IxR~?uNvOjsiAFltQn!2O}w ze?)^~x8wJiZZ=zXxBAmW8Hi#(<5v}Ft13P?8#bi+498&9>by^FPvlAOZ0sy@l~$53kDPGP?zKnwBp#nnk{R5VetBvgx#s9)tjbYM@R zlWHfpdWb9a1Gi`tBZw@0c`{f`JVQ|4MKqmV>_yk;^#}$;J0juMt2V>Sax;wZ#ePQq zUP<;8pS1bsC|lOF2SKKvNKNT6_;Le+r_>$J4S=Q81mDM zsf#aE)McvIWyoTJ56a(=YkzDE>XA^pc6JhSN&HV>>p~qhHE#8GN-U{eZ&%=j&Lh#6 z1ktAW-a4e}V<_(%S$l$MJFHTZcnYkuN5mSQ*O24rHL_nyoWyAVgsE}nA7D#J-p3M1#nd3Sl9L)HRM>V~KYoZbK^_t-^s_g8sy(1u z9Vf~^qRcvrnn*f9v74g2@v@F^(^iS3IEy5{j`(13P~+f;H;~Ga{?NRXZON1M%d)AS z_^nM-J-vn~hSCpOtCS31Vydv16c96XYtIhvLt~}8f-Ewi z*5h6m1J>-)e59G5J>M%7Q}FJiri$#pt{j0{%7HoLqqmqdO4YKE8pmH|`0|ggApPwv zY~t#EnQ!oxa=$HdC1=>V=wnMVoR+oKcqmy>p7pz=&B$7LOR-5NRddC)4znlsIe)7E zxwRE)OjICvFQPY;_i0_QC`Bn`Nazz#Oes1#leXRdjI-kt1#?%c+(Kgz z5jYs#*}rKdjl$S9P?^;=@=f!p`nRc=Y*28HgLVctrMc`X8Y+yE;rzIvyz+?1@sbUO zKP#s}&QpumpOIeePFoj@e?Z>~Wvj>2zUwXG`j~%kdhxZE7A~S$M=N5Bz|OAgbvpE- zd$!84cM`60d_`N6xlCOe_B%CCXk}f0#oSN%k*TYHgP2KFVbrN!a~?sLnlFbWL6S?& zE^%`(`t*>I2*fuWP*I~yFd3S{K$^QM7*&PMKo=25UuQRPGu_y<}jT3 zD=NerCZ!EE=drbcdkHMgs=TbXB3}8_LU}eNmfpjjX>f!1LmwfVo}Q+gLa!1r)+AdQ ztDLM!X2LDP$5stg8CjM8f&#_THYw7+$^^ii8A* zNr~22lvyetGeO0A*b~Lho6JKTx>(+HNB90cWVLq)QxFeHp9MDigA(rCx6c?J>a4n5 z?&GlBTvN-30;ht=V8y4>pU{kH4Z>NZ7F(OJsW%>Dp540r=;cmd+v1!!p0}1);`^c^ zniFlup;N-k5A5+^Ly&?Q53q|yhi|EUmMV(~RH>@*dMG=@A1aBb)Ur^e_<+HS{j#d` zTVz}>nho*EQLr`afP%X6XfvEfLWf6KVd5L%>*mun4}LIp(waipF$ zjaWsgxJGl5K12%pWQ(Q*^MW9s;%(IPc^5+T72wdyJwif zw@gm3hnGtEXF$nB!)&Qv3$LK?OQSc5w7Q#s#sW1IXXn%j>RE>gwW`w{y^nPZQBcLY z+-V#g8;j?y$(A*tuBSh|e1`NECgdWKBcxN^LuJsf-Bvd@$%tn6+M-fI8tOg`$-rB) z?RN3PzoMw~wRL5jq1+<=^8>~{Y@llP+>(Q~<+I=+IW2D8?ZLC$?|I77q zu03o?dw_|c8bS(BJ!dp<57|W^nsQWy6NGdvrGpD^?g5ui9j8~}%bxEb~Q z{Pu~*_Ac|Teplen8c``6zZPvFCXTbEAn@IWO{*O{kmqvjM>wKT0QluyYfi5h^YLD@EW2g}QyFRu%s5EEa`vdo5*}X~| zPCU|n+adyftK8FD#6am{AjAk}Wa^&t2QW9Pi*of`(Ap@6 z_ip9LXN>I=*zijbYmsNvdT~5Xq%%-ze6cE$ujf2UatY>~G1KRT;wNV?Jy8zGc$IPG zeOmd{ifs1CWrJa?)&AS%(z*^vt`gWD1+&z(| zJI7VthYr7f{dy%vm?4;6S&7`<-j+Y}8v$fx_=9NoiPBJ=t`SR)${RPAGyodojUnr(t@*(d-sZX?#%BO1_fVdx+_j^{K%)dSPi%;(*2Os0%mwBu%Nc%o?DIw8ZGb=AAw@M7E_dcX|7Hov_Z4nWXu`1g~ zNhQWp6jil!Hpi31Kk99B(oecJ{LE{ACVu3$ulPMQ{+r$?iIbusS63JBy5I;i^+NoK-aDd*4E*H0EqDH1D1_JTduV^86c|^rWlNb49)0 zH*lN%$Ab8MRJi7=#hy*M_utTOtgs5FF#w za_U=_HLD&Jg{Wc?Ci zb4$x0v7)s0mfKrS;l+c{aMf^AOzimAyH+y0t1Z5g$OroZTGWMy%{~mo!C24~K+4AE zW|0mj541vEpRWI0^(edjwJ8JH_v)KGJYUDk%%a}D4S4km`wg8K1uH8n_ZN59Jm?^W z#KI$%ef*e~l#J}WrvmW5$4<>SrTWDR%F6Ac4#@zz-81x3%E2DpZO&i zRM$%Nyj!oqN92k3h5)V0_uG<#lU?rYusn|3514_?0gzszUK=THz0)hcFqmM)ISKvH zQ<^wSzP!9RTe_>;=qHilv!f`!KcwjitxD^6EBC680Dt4P9$=Y*UVFM#HsmT|8~h)j z-O<=5m!}GG3>&pqY*VTm8p8ye*Hf7dc~6HGH1+gC(8D_}pc&Fx+`l%mprD}i*`kv8 zRuh))r)R8|y(!`0G(z(&1h)ufveHM#4n1mNKF!>h-JVwK+~gqbLY=v3?@cs;LiH*v ztDLf;O7bVmd*HS{JA}~xMmI5@Uz7KD7EPuSdB);Ux5C!=f6}2A z7Od!7LH9_83dI{xvq5Ol+PrUB8(`8G1u7#hbf{ZI8H=_Sl}eszMUP-MM!TADNa zm*<4P+CKs}eB%)_9Rk>0^-D=+Sp#hY@n0^3>W7GL5p-~NJWq%8d)*9lI2y>5zmjSV z%@6}W`0R9YQ|awpwlwHTy=#O}aCUYsY(o|kJAOVIjPr{x8#zekvk0a2UN4&?W@a&+ zqw*B?KP`7&_}YmgVQwK+Wv~2wtX4EUs%D)xjkoI?6BC1KHhv4Fnh^sP<1L#z*a$_o%s;bi4KWH zf>MV*jiu(D(WPx;(GCsAmOxP2r>VZxy?fP_bdncmE_<6Z49xNovR+=IaIW3+3rsAT z-l?wShAq%KgI>(&7K4acXx`8|-yY^X{d@_->eznHRkX~s9Y1vutEn$t#>~MWSjk`} zSODkHqd&Lo+=buDu94c_w5kCTWcSo#@>Z*8Za#?TDfXD66SSl9JKuj)`}iZT9QjZ5 z6U{9w=87tMT3~=nE1gQ4$d`?IRfA*0uQrn&(46F3PtSeOXS_B;>~=rv1g02Y%NEgN zy_hg58XO$#FE$W*?0>$`&dz?xLqXcMcsE_Q7!H^GL;oV(GEAQM?x!j1>vns8etuTA zpH#Ci%zhBh#K?$oBiS|DBjuf{J5Zs4Rnij6kI{RRa)RCx zeX^TK|C-=kEQx}w)9FUd!jPt_+~#yW2IBbm7!mO14Pol@JA8a!EXw9#h*d{dEax_8 z{83J{ae+NP+VsB&%Zw1khYsP~4qvwKPkF5sdxEfGR2JJi!vyDrP|lB1z{tkDR8C-| z%m%U)Yv)5b5tV1v!cMaY7*CQkHj>^qa%iI5d~WD!V|PJIL_Jw@KS{Uf7PRk75P!~h zKaxKD=;+8PcyM)RclX>c)uDz4kC^t7rdB@(CnrHk{Q)&h6?{Ej@if!>@Q?6XQ3ZN( zRFGIDYOdtp^fsM5g#Mf@NsbL6j*aIO=uAD_>bBFY6q14huCxqmH@l8Nt47bIWDj1L zH`9KOT!rChca!*bloyY$}cw-HqytruYF|Dk%} z$GR>tBZDyt2A?gAX=u>?<@C?z<>5j~osuWvitpGM#l&b9zJ~Aij1Ej@aNDh^S#|$Q zhj`(9_Kz@c{_`kPxoC(ozWcR$=6&fw{x8r-caHdm-I;Id-yF@>I*-i=;4E*WD^$FQ z&+Z#7gQ|DK;XjEtQF0MM6FkAT4;s65$8#~OLP|t^PxhJvFtGZvA5eb(AVLNb0j8W_sg+=kIn0>ZsJi{1T={ugO+l=(B7Me9pUz7n3wku4z-oXp=}T_)QC zV`~QaC99c+dJiv4OE$#NXM^;#w6tkMqJF#fP;!tXsYbu^w9&Qn(KWP*{<76V(6_cf z?H0bjff$;`nW=cHnraPJzw&Ud-+oaD0|Dd6Zm_AQyaD>8tENg)iMew*eBKarbgYb< zrpV9FSJSRiwp;sc^Kab@jZyxkn=_TUHq5~N;rYDIXE#|*G~;_{n6$2adB`vKZ-Xj~ z#RByS8bVA(^4Q#NqLO3EMD~@GJ*EFd*Je3)rEjqg=gHm*8QK2zxQG`-on2k`92^|l z{GS&4N)A!1+UC*fqb(rV9?(?k;GH<7RA1Mcym{vi+3CSXVa?h3=^-%SIH|*@MT#P$ z#)js`p!*TRF^$zK&d#@?VaXUo1mnGOt=oyCd+bvQMQ^S$y)QHlb6um1NyJfL&aiaqUssU&sEUTiGxa+*SB}#gsl3mzZZ7SICL`@ zCx)KRWc5#OMM|FJ0n;dgwW13N3wsB$HYuiRFiruo{?2`4qBGvej{`=IzXN^vz{aLv z3LJsy=lWg-UoQThn(|Wpf?0EK-PT4rvlQR8*;I8MY)s0OpILSI>RMF}pBq+Qw!ENS zc{yHkKM|Z5y(*j7BK;~Q#J7rGNzOu@;%KO*Kq8yY*`-RK6dx_;O3XPx%^{QR%#Nr!jnhk|3nh#M#^31Ny;@x3;y)oOI} zR&Zn_qrj)^0(Xw*-3?U=1RwNng$raa!Ksuuf3$y6zYrm24uL_r+nUZX2>asMZZGBM zpY#H2WCR^etpb%Qi;IiTI_NyUMYBFI2LkZ<|Mj`XYaCE%JIZ4^%JE@IrcB33CcDgw z;rpTULb#9;NXsHbK=HAhkGfzE0!IhEcM%Nhb}H5hyVNepmSFD&9_Y8*9kk3~-($gs zDy2&L{({Fk?(f@oyRVNiq6rdA@1((tw5|WxpZiv(4Dtbg8=zM(40TmYY zm5wt{Ko;XlztVC46DfejmBVM_WX47``VZ!+9`w+FOhHfI~m<*~9Vn`-f2A?Ln)Y;uFX#H0Yp)Y4X1y0 zKY314PtIq@KZ%~2dVHHYe4xhBNUzq(L?NExN9`4Y@aiw%@`rEy+vUFlbZR_(558W= zzc$tch=*~Qy}Q(V#bf!$$k?Hf!<6tfeyg{=-V|KA*CCbv1uWmnSXt)TVdI7Uc@wjm zX3Zj*syL%zohwPjIG3WL;GYvp&f1`n{DJ}{nDleg+S(c}%905t=7WciL%dSkO3Xe5d#Lq)_E6o> z5Ul94FqRuPV75*axSDq}{Db9hB2N>HtF=u`(xJEO{dM=x&>8#M9m_XJO3Io6{b&XI z$(*v?aA4za(DJ$6v`pdIv+^nE^QWPyN!E~dB{b+CcfZw_khvfeg~FaB_|G;*C=|Qa z|JS(y6g$^{A(2b~v>X3d79NFadHMf>Q~Vc{@&EHCp>M1Ip-NUg+>Jvx z5bw%Y5bhQ_+^XC5pZtJPNiO~#Hn#4JLqOl|+(Abf*PF9EFt+Im5&&R9;iD2_o9D1u z0z7rg8E@MtR+uadlTPSJ=<=(*>`Z79*>_%7{8Y9NMpud%`tA?U5#RphNyvgv4AlrE zA7KjFrgWz7Vp zk}gw=$Gt+oUeip?;bsG^qdbr1f?Mfu<T?8&`1=YL_6Vn&o-04A2qjUayywtkke(DP&)L-^n$%2!El(Q}y z`=Ii)Z&xKrkjUew8|AeBg)dmzD&2>&FWT-I)UY;e$2AHox zQbt=Fu$Ox!qe8YK^7EiQJ76%!R!!qM5tygeP;$;KsKyq|?~#v|In2C(x7=!{G%|)p zVn3cZ2sbj@_{Kl+;_y4&5JJ0&G(rw-@ct3afq0pDdCREyYwI{|Ba+p+#X3kNa_B)D z`lSG$w5k%;m*J{ZWp}N1oQd!|KQWp9^3VH}!LU?xWG@UPa)SRe^z%v3t7ZyaBUNt& zWm@kK0gxK9{pkcuJGgd?L#OTeaw^i;PRj!ea2ywE?t`&<$0mk8eCo2ypmWmtI~@Dz&jCaOLh9FWi+V=|>PmwqK6s!z5Gt zbr*QlGPkzo#9+X|pSm?3FzCd9C_Unupj2msIStqv2g zy}Jz7rgkyT;AKQ?hCJ6$Z%~9AERqSfVZqnXqkMnh!L8@H;Hwg%JN+Y!fr-&?&d0}R zTrm!?>y24pamTIQT-DSFfCqgbphX0LAA<(F0)JS_+`o?th*B89g#2~%;mIsepEpEP zP~wmz0aF>iefuV5YMOCK1x*Z@|((m*LV$x^1q~HC zUK)mjET(NJ5~wmoMMic&L-Qct(}UOMKdBAedF|IT? zLhIIFOG{<|4MLs*=j31`3_R&VJt0F9Ic&yI1Ukk6b#}xp27J9Z<tLgVpcE+!_hHu-2^RkFKwZ{WcqU{O~|qPn`2{sCtbZ9hf<2J;Qh za+m`#2I{>%oP}wpJ;9rYJb(^_f*yLG-R;%Zwwti7e4F`uAVfm)9Eh?AO8St)=!<9B zva9HG5GwQ5Afg@6B#PilLNMpKbPOtvMN;yK<@W?egKE2|PcBPJ;3`rACxFIFO#;zqMMgov_hhk0 zvaU6b&t^tc8A zaCyQH%VTi(xdB0ZYtbFo>C!7f=~{%OGfnpk<@YHvsIUxY4`n(%+@vIl0{lr4f=@7& zkRN-@6F+7rcnsyxaJ}GIf_=>8;ehfJE z-QefJ^?*f2Cnnwm{TvBk#uIc<1zu(p=mzFIxBNSRCa0P?C&S2>Z)F|yYrYa7^<|SA z&%hh#2EpY(GX~-vf42P$q{(~f$B!SezkZoNU&)R)2P?J%fM}RX z?mK`Q!cgC;?I*DV&@r>Dto!CPH)xAzoviWS0KT#SHsJ%ybPOh6F6-~#dB~E)g6r@N zkaK1Y!;Ph)NU4vn@-8hqk z_dyJxyPI&5jROXzq@fcCF!1gs;G@-T?d_dlkFGN@p=0WCi}+5Fr4P*DL`KKQ-yjZd z-SmKH>IUezczEaT8>v1_fQIo|bj75ZW}i@t5=+8v@d1cBUguVbcHq&X^=Tz1>B}PM z>Uc((pnrBBjO`Anm~Q|rwQsn0!y8}+*o~D+L(q@~Kh46c5ps~ogx#lZ+@-ZP*lv1( zWy(*Dj@b`+3iI+5-rUbbtGnq#IxjoxPIu#<+xCD1nbu5ZmqVLBS$e-ClWVt4Ux~wN zqJguL{UOdkBOvI=7;OGG$fPkB6m$XR^<@|F7QF3lP`aE+g7(n{j`iB01^^ruJn|)^ z=2w99Hd=ZiBXa+}h)WK8=)8TZ|6ad5DFeeTm*3x`(D5Y52or$O`k8CGH;_y7%|&=`sf55|M_r z&uen4j0xq*6+tb8sfPT)>|Ol%&FJPKsKfnoC740h%VKU&>yG+$bO=gB%>p{FNT;yZ=x4iH)I^vh8qP{`s8fWSp-0+p>)m&7_=t|k_D33d zt|1>T^cZE9@-)=l{|&>pvqkobKTURvgT0Vo(wIcxTnF8H5Z4G6N0L&fqN3s- zQ0BA5*wt{lGPS!jVk6dxY#=Z@|4(yQ8dl@h_qQPqQ6h>GGDU+jG`B_NAa!z%v3XJ= z&BJacM`@6g;TTHOK}3kc%KBn-^0aew;`lA11*L9CJjqakWY zFsJ;uIS{vaIv>optv!n3DJ^laP%RlIhzq{Gml?a>A=NPXJIYMRZl?yma}DUte5W~l zosjWO=t8)qY90^Afp&&(1mFZ{m~po=G7Pm(1SAG?HRJ4V-cC#`4wxD<6S^P!FcYQl zHuQsLH`R#(*N(}AgoK@#I$#2CY-501t9{Py)Y`al;};;~MGP!AX~4zwOwfI1;Z;D) zIc+avP_Cwa)Z}Eg%3ag_^wP26w)LH)B+KW9`SyzZjA<)5=sah6V%z;QjlDbXFpE{j zw+K!}^x&FO@2-Bd*N{@1{@U3Fy(lmeJ$ZuLp`r`(x|n`HW?}{RT3O3ORkYf(cke<- zP(b8Y0BU}v*5~Nu`Y9AQiNzZOLvw2|@shw{LqC5T%I1|>>FU0iA*hj!dF;H|wQV0< zU7DQ$vPZM5TTyXZ(YA(<78FIUZpEwhXEVnoopp51p#o$HZ73U7fJ94+)bH*s@C6s3 zAbdnBEWlp;X=e7jfe6nY4G0y;8UG%}_zSZ|snahQl=6Km>F2i&)!4vhO85MPd*^4K z#(}}mkoO;~^69^MzGy|j_$r34!;|^9jG<;KbshhU=5JWUXCusRH<*XadMRkt)Z zL;M>v=1)4=Uv+D2`d=VXWn(dD3e{s1oG7K=7`yH4?w_xe@KJOB`lY`XNP4;^33+^c zeA6{$mV|L^qxP-irQ4erIm3=(7CW=+amU5Q-B3HJrC@P%40`kCvn5M)4?$qAvW-E- z|J_a1Bc1kA?fR-`HmMK;KYOo`Svxt0haTyyWIKeh>C?heZ{tDBIH*SSQ$Cb&unu2H25H zbfP~y&+HNY6-qs1rPkUj@(iZ=_RQM$>$A$W4ACt%^JrZAJpt5wiZ5Tf)LS6t$O^W* zsqW>Hb!?ufd>pq6P0PpX(YbLIn^z_}jy8NQ;a5z^IzoN&(KZN-bWBpYzvZpUy zT1bH$61$rESdaZDyk(9&W)N^MwVA=dWwOmF?4F%4z9X++{{>tZ-uNOl&z^zNx}W=q zvwv(v5TScZNjC%)dC0S|8Rd|D8OKw9ls`DUslzQ`TRc2jU(4SQE(TZUs!DWw?r5sQ zkIWNSE*mrAJ~_sZ#Lk~5Q_^SQ7Qb8wSHAwXKp$uC+TmKmD9@#Z;;!MtQ|@_lYbFE) zUV;ondwjB!7oB&Z01!YG*xkJ7uT@NiOaR#(6F~^h&=r!TjKJ~VZm%dtXfvAC9Kt+R z3`s2xZ^o^eF>4;IN;(35h}UotD5VMaZ4HJrQ4uXD`{Y$X2%z(g4UvMCjJzkL^g-&E%dUIRpk4)W7S;DB1 z`6N977Y8+x$7VNv?U*w!Q92TJT^_Q)(p0)aoK zmPYk+&!{nCCi4~{vmIHVE`w6zQZ)B+Ka_FH%DmK{nq zJO_X-nv_({7M&l*J#)V&*BAJ?ax7d+utZyLv8?+XT%5eH3|XOB?W0&^@ktwpdg{YK z>UdjZ#axb`-6kzv++KUhT|i^UNf{5linyeWfK~f>({WqIEX}O2^3ViUS9ZRo-N2T> zkgEws&nh|Q5$+_Kqm2dWge_?TvDLA(l+@oo@$-9=V9@yLY!)x8|Giq@x0emgfN#5M zQcRG&Bk41l8&XffCp4D1z&P=o(m6NpHU;v_<-!x$zp47+!-wmVjUJCz*#=a6)n}cZ z0Oufym0SlFI0VhBFKunj2#N&WwM%OX5*uf#C8Jt$r<4ZNl#Q*%Cbg<$TL67_!iV>L zw{P7aWyL^o{Ag5xT`6n$-GT3Wv17OvAB=4s)T50_#&LVd0Vo zXZ)!cT!LK84;A%vtp#8xbtUZ1Y`9s{j zaz7jn7_t}N<(8nsgdXDIx?V{6J;Xf|%N9y-M$f%g!#|OO2 zA`y~XPcsYR4kMR5hlaMKK4!Q}6Oz2$DrflYm({z%bFUsYof9`S@)S^0 z+;5lMChwYtPb&KQhi15?uo%uq+4<}%yF+2qGT<tv7`#}Q<%lt$jm2=*6q7) zz>9AWZkQMXHTCf^K9}U|i3XO}(uV*ABk`8UCn4E9hnMuUpaCnK3YOYdO518}9n#UA zm^XAp2?5l7(aJ)=E2&BfDnLYJ)*r!dS*IV};m1qR33DRi?4y79zyWh8-Gj_Aq}&FE z;(iCxDMVz$PvK;>j9d3dg+`qkC;s;AOE=q|6wBqo^yuqh^Joik8jK9MKBNfYhLY8{ zPd&AYP??2$ME)#pJux8Zi)L!E`Nm^pG(p#-*2FfXTKx(dJ31h4*TWZW?%xF=m;#y3 zpanA+bq-3X2~8DhckbWacO#IL4EXblkf%*OUM`6)x&Y*M_`NGjaBF}_xIhh}A?OUn z?ae&kbMu#wJV}a*j*PGq6*W2 z5wbaNcglk({t2}NNNN_S{u{8{Zdoy4O}NGimT!KMK@9+o%%hZybMu?k5+6G8PCFr_ z?}`u)0YUefico12rHCpH;89{Q2=Cw-dZCD0LP8>ymaM+9y3!$JcAIf$B?-)EZvp0r zNK=m22}^3le*4NHZC8_|KMo!|N28F_+-%9v^zu?6X?4z`b&cSl`P6U00T$popGeMT z{~w*})sd~DtRu|$|HIH`ZDvtrK)SCH9p>7hQe?W(KmP#I(k1=)|++iHwwAU}sD$7+ATKHZNQOIIoRZ)&6*J_~+r zDg>j4ChR2?^B5B4Z+ppfZq^>}GMjo04i!kaABDzo=v+B@ps+qz-Km9)%AUitz)0Jo zuSR!LBPw3ku0c}|x+%cfEOBM0T;5+s_`eHrnIYlkaa6Yv%qRI{?}W+8VQTI8qXHq- zYOxnGva<6Lnk457_&)R{*ZYC#=2M7bj^GQVp8Bi^m3Sdk|9;b%C8eb}5r$;@R7fWW z4jkAjs%2rZieiwN6GNYmJhhn*g);~#q+gJ~Ub8D)bXwf#w@0uT8VLfx-pbUFoo-j^ z(TKHzz}Ph2eBWR;<^q`zRLkgdP@^x2(GZ)$fCo;7-}PS+Trh-^*$8?uJSiZvgdeFf zF<&z&PQF&^q_B!9&Szk$OAzC@zU|}^z}r8;;aZSBf+9t!!)v>SH73c>K>Syc{8B4S z8A`mqAcGA9F(j~lP z0jsW~o~=aB?l?*?iF_sUWyu4E{BHsHz+Am@v>#$loMS^a6=_5w!b?g@yfreWaDa&B z!GixW}XI{-=nL08I{xs3t$~-Mk{`X$$hzMAe+-x=I7@#E5LB{ zr>z8}G|%D`7Z+c~aP394LqKT{<%~!bVY0kX)i=YRifiFjBwh?(v7PH!3x$dlEPwy( z^XKWtyAPmcsYhg7P;TF@zNjvV9S=+%IV9GNxo0d>kC0KKuimFksiwe)U_g{dx{}WY zB_0_CYfWLa*GWnes9leYX(Xgzo=;4`q}LvO{lDwk&{}pwom0p0T%=O(F*c6ID;MQV zO*qDKkPW_!lDON$1ONmuvVb* zxnOn|!Q%KTyM0_uL`Vhx81(oJlE04`&0dLG_5JTDOrFhd9R>&uE@Icq0oC0k$4vX{ zR5ko0G&-(NG$fGA$0I#sG8%q>)5#zf zK(Z|2ypahBlCj5#BDvH#7lxD{zjFKb8WkM6cMKXX_j`eV7gRssK`FS^m#$xzLT-^w zXl4g5Y&tZ2q#2P^djk9h#U~P_#1JfR4F-j_Xxvcudh(lzoRn0re=NfqDPRAbf8df7 z%~>D4a@Rlm>6@YGFS%B{_`t&h4e^Dqw5DjTLr{DO={p4JFnTFinVqh6Z1jNJNcC85 zzOhDDRu7F+8e#HYxv|)(@kG)E6QmG1OPkel56?lOE70lMRjYO&#YnTj1)Wm&;K8e& z*{e@Uhn`QXcR)aQA%p8}QrIwNn6zB9W8_eKdV9=eMDJql$ToB9sXGe4$*rqekM72c zbqV-(1zCa{Ouvlb=Q+H*hCUYI4`0rU~w!=L2}CU|qBT&gIVt3w##N z;~D=xcSqPzT_n-qhLWQML}ogN?@McI6RBwMRkJwOC=v;GTk;go2R;UX|7ic>bbwwe z7RbD%n`cruopLb1$_QoCJeRK%nd<6RiTkL zj%I|7?mMh*-7&D!&AEg9Nqoi}%7fQ6otw$Y->@*MRgWg@m>v zD@V4{Bw_bvaMz)vHKEhRXZb;@{5!0Fc}2GAdhKRCK!D!LjxH&P~;y z)@y5izQ@Km>E-{|F2mq6YyWdQ5f0~K>fAS>FQ`1sX4%Ss<*P1c# OXOE7)cFIokz<&X;<>ns% literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/2.png b/Vehicle Live Risk Prediction/Images/2.png new file mode 100644 index 0000000000000000000000000000000000000000..3b0e4e0e7228967872d72de0bd3727c282fbd515 GIT binary patch literal 20587 zcmeIa2UL|?mnC|*=7d)P2@(vT1O*X6K!SKh1e7c}s0c_9L~`buPy|s7D3X*60xBXo zC<+R~Q8E%0$&w`JH}~<@A6|9!sL|Ekud2pl3>6QD?|k15Yt1$1T>HA3io&|pY^y00 z$~wiPhczgaB|Q|%Z@Md&&i(BTf_4`ygtp8syv0RUojm${7Vr# zD7S+ATeO@PgMzOH$}$exH=CoPmXL2wE@5<}y70#+O5y+SNzo} z`9$*l9H;&`msYpZK3C3lZ2LYvJ5?+=W4}`+Oie>0xGvSmpzGnpkH%;jubG4+fovDV z*_DnR+vPMk(orhvF=3No+oHd9>(~?S93N{RKwt-yI(OUu8kYHFk-!@lE4{?xY{{@1Rlg-bdq zh3TlNMH%P2_uddH__SobRMbt514_XK3p3XF^Ak-oJ<&lm8P@fCE1VOLM@Z@65z{40 zc&ZcBx5viCDFxGWN+tL#j7Ek^xxK*G*xV@9qpLPiQ-RB8?m63jTN}kni%2i+=p%tu zyEB`gOpkUaV+_CKx}@#hyLW7+KdnE_XFi!Hn?k9>mN>ZV^Aq_s8Fp>04vSYe+p6LD z$MN(27lJ(@RUszciMY2UpT&hjNxS)(@v`^tKjEem4h-d0i?rst*adPN(7tlzN{F~+ zV|vo9`yoX|2j{=8_Ze;ux^Y7@-Mr$Z>&WT(`5~W>^3GsxiEx!Px6X5QPxW#JbNb1x zcm%HJl*($B)ge=luk1kvN_!yBAVp0s+feXCs-fOJ{u4jh7N@%-Mcv2F${#tBbfL4% zswUy~j^m**b90`G!A%3&O|Q;5y<^hpd4GF*L}};u@4VZ#9m3>k%E|p1^Te#`M6!16 z#6VMRw8Humi5l`5R<%_P&rO}ay}dqa{;{mAio>P(@s|wi@?OUz%j!7ypC5KgzdJ*X zkWRun0Qw4XmoJmZs)fP$M=*3hm#o6RaftX0Us*+$7#Y zRYEtz>fT`9s7h^u`X48fwA9-QyvAEx+L%0k^wlPld$@A>GA}RhQKKBk&sdQD6|)!z zCN8d_@z8~lARop@lWmI&I{TZ?U%GhlqE@>3@j!M74TT`i-C}7mJcIOpf0&lutSuKR zd>VKB5kIbzVvs2~qIEs9)m=G7KO-3H7Bhc0IQU6S47UXP&5do*=^GgsPQ)rPb#`_# zH95}?WC}=08OEzd-skoje!ZfvF6GgiH*XkOSQ2`A&bC}A-_1PMD5-PspzoKLmeHE= zD!s#Biz7yY?`LsIxvIIed1XF%^5natBt~_&Q*V`gvQFAUt=BH294$FHxt#vgT*t1D z57(64d-TXdE>b{|f7h;>Jh#!BxZ|6bEnl9bpJ6pq%(W2JSsvn1@leF#W@^EV71l*9 z_WU1L*Qz@^zp8f#H+oX&J@5YR?OQTX#eVBUxN+~j3$sHy#aGvz$i85Pg}^T?tX>+# zRTx#jlrqJ!meT&>)%mZ7wtw)%{B@1>R(D~Sn-8_-ceQ#9iF$i`o4@mCipbun8nF+< zv==iYtSU8fSuguS>_cp%RV!ES+286KZPBV@;$?R6(xr-`KbHgwmoPFiKIl&?Y^_N( zYMPts2#Rp~!;fC{o`8asHvZ{X+noXc>!XK+}MjfcDcp!5^<}*#5DU%g07$ zVajy0Vt?D+8E?b)qnr{K-g?fBlgT2kqeDK6P2_!X zh`(fXJhAd3+ua;?QT>f!I0~LfuiO2cZ*opr-~*fCYleozcwB^rI_P9U=_OG&e$f;Yjz?I z3k>T|B;t8XuFGacbA;-M=dJl3kMR0KGB8h#a_e>(y!v?T;of(7Kg$GS2e(T|G)~RV zKI*NGU$lDVF#e;ldg;=o4-z%wLw6gzay2_p-~ReiVDZ;IE-g+WZv82l$K2g>+{QjD z99L5Ex2VM4KF9s=xoK%AlYsUEMBciZq!Z<2>@TfY@7|fF9)0z?zyIFRt_l$@@2SUn znYQ5)-g8-qG=YhF>2ZoGDq`3|VtjmjJNE6XG4z=qk9+oP_=zzWrTrU#N&8-xSHDMi zI7o(f^~Og|gwFm*r?M$_Ax31@PyJ|259Ch2(5XaiNKPxT;(nOz&>hOB8OI_kE1Nb@ z!gxzSGf_Vyse3*}GyW#)-ZR(q3cd5|^U`I5=$0&Z z4P5M&T@()f7{DqLAY8&O>)nj27LN@y)ms}Q1|vCV^fo+?ws`6?)EbAp*M&fB>`;1> z!x~9>8nGQ4O=|4ZALK^JkXPIY49su8$jQlR`}5~dDN`&yvSvPpik6GiJ^o__0~3?k z&(Tq7Q-np)Q>RXK@9rsKsZKRIz`(%JAv!Tut%^m7G_|LMWfZ}6v*J7B@+;y75vq|g z=Tz_q$-pA+*u&G@56N^{+bS;0#~$4wEIe{?LS0SmWC`w!UnkY({w}=>pY;l-yEa!N zM^d}__w4yJ*7LdeW29_bn50vg2uX=Yf*=hBoFQG0-At>eF@D8N-t|{Hi9)>q;hFYJ>nj(Zl#jUit>;Sp z@xvxIHntacb3#k&E}r*Es!?v=NGX?)*kbb}_l_M$#{26h^LDbbvd)kk?AW6gF5yt( zAb_a8Zhv#s$B)N2WW5b-GY#;RpMB|;AYOhKoh;dGceiPvZfB(Dw#1%!+t$2n{Y=|| zj3KO-HJ|f6T$Zg^;W6mv=a-C-GJ~+r!(>$9T^)D4udT2U1OMZp4wCemg1Xn?F0F|H z0c!`oWR#1L@b1*}>9vE|nAo{53BUn4vxB)At|Q+zs;-|BMF`W0Rl28@sKG^vR*}oULu@wr$(|!*?3yI-gs%bg64)hK%*p@K;H%nU}x)_M78S{^b3v zHeX)~P?uYv{Ncl{6FQ+)mHB`HgKk{2)`GR8N*ZU+CM;ja7IXJ50{*{=LZ`a=ZD$~O@bW}&fNXKH#Q-Xm<4>M$}T=_ZZ^aeA3?kl5E~*B$vuw^ z6;ZGK#apN*TUI%-=a3b$=v{6ONynolELZ&em>=m>=_+pAxDlv8y4!20;rSmJHe=>? z>*lQI+G)lq09V!@9|&9Fzrd$Y@7}$;=8FRM$i0UT6IEsBwbJq@LNVwmdgz1v}cCa8|iogTl?fSeWE9iUXC);$oE5n%>7#!rXmA-X%#{+q& zXvQ7;{Ij!sydy}qZ=%VrzN_NV__rHEO8k;St!-_KIzIOcol`EO_SiK0BV?Z)rvJ;U za|X|;`sdF-3lNT=vQgTrXqdPz>4ZSIl$!?b<6g{@pBX-j-mIp1T^!=)4_Z`)saJ%G zN}B?FkjzjUqsRbc)0dh%$ZyYupYlztUrd*ei+SOqt*iS0u|~&c4$1v4ciJxI4h?BL zMI@_K+4){oGNs+pGX2eaU7UaX@VFpW3ZNtg)Ho<{H31@N*1p)VsF@2v>GFy{Gt?PJ!2d`hhF6sQEAx-8Lf<@>7msC=J z4HYgL1H@N7vMbR0@!rwV@nx&`>^V|oVGhRF2Nv>^v=X0OXV|I4KNCl%NC5Nd)vLY7 zrDbLt`3FXQ1}zF>*38sC)zd^+-!+~t=JxY@+guKX(oNe6Hpu3|-?KNm2XRU}{%8=! zn?72%;%UA&derXnY}oBUu%AD%#-NMU@3+3)b2x(lc&FTb@c%X^4QJ-kO=gKY#*}-pN%+k=1kA* zP$5DaaJV|6%}di#dTN=UgB^l_wwl_l9G9U~YzIStMSlC%#?y5OTj$yei~wfFzf3kp zD(EF3CX-DJ%;c886E`6+Vl@<-Jz9Byw*K-bTdRY4l=q!1q5vwVyv+vK!j0VNP8#oC zun{_pwZZA}LwEq&5PL1Ry;NR7!TLwTbN|4=-S&m~?&DRszchs3ejv4+9)a)>tvDV_ ztodN?X~TE#-YEu0xOF|$i0uDyVVp<#zH6X`xw#d7Y+P8V>`;Ate{Yjr;R#(`-RqGV z4rz1iDZB=r>m?~#zngeZ$95-&UvO|3?|Nj1ymx|a&q-f4F&kb*HY9dZgPiU8^!Q7< zMUeh0o5XdS#m)jy<&2bUu1&X4RjiU-oL1ef_u}vxWe8$w^#mnok8E{Xg^eZk5Me$*Jl(Qa}z2-wo9<@DB;_>RZdt~ zc=eh!)qgHoF@~~L8F>2Bt*w7xXGo`&+I)GbNI=`dRH>{LN`cUQmciS$Zzq+cqI|av z_0fJ+V9Z()^$hItPoUBZ}6+9=QB2!8?0gP<3NeKCgm zAsGWsGO19H1PS{1V+ll2_Tj^beygA&Rc7|7%vAdlayir&7jj!7I$JGd$}1mmwni`}buSYqXX=LSM~?FAAK&9T ze6r$!@E^02L-oh^w{XW-Cz9XT(BpDj^e#UAWdxrWolk2 z$KM0Fi(q5mV!?^pQ`yyS|hyd5EHA*G8Cje z%jvf(N9zpijD}A%mjdD7!ByS!&j@@kK1Ftasjr4X%Wb&asz-Ic(cT zp)j9qcy`Kte!QOQp^_$~_wwv*!pLBEB%wsqF6G+~_Cp)!jFFW!5jUsLu>$PgM&)KY zN|F3#;nSB-o0^`8SK$Da)YE7YSz8%?Kxm4;pF)WeCp2@`SrP<*K+;g*0hudV)u)CN zK;P!+?JBRStD68m#Uz~J_afP13Z+%|8@Ot#&2Yi>L#*d5Y0`k8DZSsN z*pk9a_=x!>CpYi1|Bq-4?h>SUo|za(1`sX#dj4$V3p3-UKw%{%B@M8aOd#SAwk&5S z289ycqH`j$ODgH)T%<@zHLoko|0!gu~siu%{>- z1yD+E*suX`qV{vNg0us`Uxs6^Mm{)?FV9Y0Lft}eh2pYh%R0yR(k>Tr6#TZQyrE&( zw{PE+n#}_~H)lJDT2^tdV;5HoCQL4Hsle{t$9<;DO&ozMck4boC{#H2!hPZgpQ1jf zC@_OB-N&uQ2U~KRjn|NiM*Xl~+Ophvs5K=lj2$bnT%^lUvNpq7$L!3RqrqZ!txv1t zRXr-e(Wiog|N2lf7^E)9KDQRyElvC(m-#1tQ&9t%wcZtfSs0)OK#lkmY-)&PJU8Ge zDR;UzF)^Je>7|K5W`AC^-A+`10^zuZhV07y7NB}1FMPk&{R+u=?+2os0S+-bZoYQy z+O3$=3UAi4i?>T8acd~Xu>erEXpOnSB5mX+dHhXDR%TH|p zJ@nGHMG_q4(cskVE;bN~AFL}O1dJgXx_6OZq6nH8zRM3|Kj3_fkjC8$7?upP@=c_e zL3W3vQ3IyRsq>yrUztD}`JRc9F=lGYRgpZ=kpPy*sBcvfp_9NN4HhnXXV^4WIh=4I zmoDnOanV=>b#M$W>M^MLV2@nzK2+x@JCClHnTk@0kV?d~_v2Xz=+sU%Oawllnv$rC zs;I&`{C#CiEfG!o9X-aGX&ZqHUq_IEBuBl zbF1TL4{B<(I=i}*f&oD9-M?>ck8n+iTDgqFm-@c4lHmHvh(^-@b$s(8J$<(di9pzd zQ!7ma0LPR#x-YQfm1k`D1=aUuWg6z@ae!8NC2Ll%zKe45>C;^|g2^h7hyLez2o;MY zM&*a~s`>f(TCkD;*#>vl;^({wbL|Z5^nO4JL zx(GaF2FH#CAfZ3KNq)igD~Un)`d^YPhovEJ7HtX;CZk*GyMC&T${HzgmpP=I2jS3Z zZ38>WBMlcpa$rB#3b&gsU(0gRY3bCpu`x%KtNI*E#0c|5zHEHAlZ!cbnark#EtK@J zBt!+=R$mjOWySGe z|C}A>`h>b0->?bmQ#!TRPJXX3b*f;o%{AGjjP0Ns?#UH=J~$%zb<8$60lIyMp6* ztxkDcn+cMxI|KyOlUo!ukk7dJq@%*n$cV~zS#5;8)414{Cj zP`p~s7q8nC`XDjb>pN{z^J{+@fD>8EO z$#NebA8P$mvUc!^sG{zHrV~(%VIhuor0~qoHC?+oUBW@bcP9i8_72?Pm;-9k=3Nh**5X z$#pq@&I1(tQnNr3XhG3Udk(Tzvl5%}+xKTl{ZqPO35bQ-3S?yb|3m5Rze^ze zDxtGZz-qp$uk#FctD~-lL@Tg&uLd!6fHB;uNcP;OUAiajX-Mjz{Ob*4qYs2luWk}D zek$S6)kF1JNVmvC5OeQKjNb>+WKH$!5Ex5h%I*u(-2@-Qe^DjU3PE6gvT!kD536T*@z;}yBSYUWWV@~>8wK^CY!I|v zIUPfL`R60Zap5vvUoIXd+rZcV+C^_pq^^1eE-x*cIS@UXpsscwMO30t60Yff^X5c2 zsD+R)4!te`b-rD}G?CgN!@DaE<&EB~9U*U}FfCR1M2#jf3`t}hbi)Ufj%9cGzGOSZ z6W#=QP@iKxd8eA(`K9wZs05D$$;>2Nh0F(vKo1-T`PrZL_!;!=9*BH8pt@?+$;%Wb z_GR-@sN)hrf&v?om(*TAe>*RQfU(d1+hMQi&XAn0P-`vtNYVyCfTqiTAa9~Dt->#Y zw&hVoS{8g&@%8+(IUrB``VQV6GHGW?0LDP9Z)g9T@6MZ!#Bmf$ef|QepCI`p5`}@w zYwULIbMj^i(@I>G-oJ)i%uw6ruUC?rD;Zpe?gS5P>i7&;3= zI%1%Ng=AsGV3hrU87(hC`s}6B@CC0)*d=dHGA!VP%Jf2MHn(cD4HR9o5-ynoc^|Q z#?2G%3E08xo{x|x%XJwNtoEvikTy_PSJ%%v{}@sWQRostBoS2%ibc0WcO|5xJNwSJ zAIv!W`Opn!p*jdFf*(G6{<`Yps7M8Ht4QOTHlCn${r&y^V%fEel^xN)_RH}}#am2sWwPfv*GLww(E1SkA z4<4{!i=JzECU;}gZVlj=hlBmOLj~0$RH^7y3_E(h`f=68M|vlL?$SXD{!5hmR{(}c zc}RJD)nVlBiS#KOq#k{Q56&!Andz7XSi+Qp!Tu+~ZgT=$q(HS7)22;?o(q+5h~rMg za}ZbviGy_=>)y8_)UW4Vr7Kx9ZGJq(s93$ZyeeYW&CSis`#Tr;fZ zF-ActX4|Z5LqvQypfn#2CSx@qD~8lJ;AUfI#`~3nA(tcodqNy4OP`0jL?mNWc4hm1 zkshAvpQxr#JYl-S3Lxv$v?PG9+AEMt);QAh=XLYSutaS0BUr~I%1F;bx%!I^ARGc z+ioIYVP--6>%d8tS28)!6z}W%!e`btr*}sSEKaeuF1TH=Rrq>1w3$LN^lrAzM4)(j z)4q{EsDJH=!~ev&%}ZgEh$4t^z|bV(JT-hudTzKF#1w)ld9b& zJ{jklw1Z!QDgoit4?g9UI6}&>6U0qiSi3aqDU0dd$Vj2Yvl-mV8A1`|oi8MRQ`?F` z-;V5nq0zLmN_u76l7w*4;?^BbuoxlKoumNBJJ{)0CqXmIix2wH8qK7oWHm*8yusZqHo!n=Z4vT z$-9+&IvEXjKJS^{ozNht4vWYNTJR7`Pv*ihEA26%dyCK)6txZNpOmqq)?xRn25TWX zVyP2k88HAcB3QU2$(6j#clFha#{Ss+Rx@M0!~@z@8J>&`#>a1jyjrVfaBsV0D8Gb6Z@HtnFrb1iN>|2`n}11^I#7#ac| z;g+qpp4}cK_08$#FK(l7g>tixJZu>?;5tut8U_=Y|Jk!W)cISte#eNrbh7?RS%0d1 zDqqPQKpWaQ&i{!++np7Ayfu@nqH;UoP(@9IwvVDZ3KCx z^A^oJPKJvb4f>DAyKou-;W0=Y>b!MYzP3tyx>WS9Y5E;kfHhA^+I{R3l9QAvsjRN9 zWqpEpugCmr*dH&|y`E zaVi`dDzS7D&2z_&l0I?D7R3uJ1zb;AWDD0E5N-Q6pd;4Jj0g>=|LdZKq|>N^I;=UQL-sr=S|cQhTN%y z;9_>nZ7!3*$H)9@$`0(=;yQXR85>%1pIhG8*r=qeT-_)iQ^Ep65#NCWP2bK?4$8@< zp;+sOIyv6F*uk}!z$R+Ni!F)@`PbeTyefPI&bQc`4qZDb$(W*!?CuCnq&aR&2-Euc z?iplgp)N{er)`SI@+i7eMq~ZVpI0;f6X$nuLn^QoSo2ZFF;cB%wm3f`5-Ulw*cN~N zvj5GS+K8BAkagVdIik)qa;Ol+i?8-@P=K29l62BiVc1a$CZ7xNp~SDh`knkYjDjE+ zytl{+0#40e&+Fb=P4SjPPD7E)FC$|N>s47r#ki+*H552Uc#(C(2=r$r90By%$-DNj znu9BZZ&g2REd|Jkm>DclfrCVRh!_wH?*u+;Mh4pSjcTl(_R|RAyt{TC3nm_5S{b^M z;(wlg#!V|pOL4Ld6u`*aw{L&0$C&uGRdimkL{9vRpan90dUGiyn74;VzrZsak(s!n z02StRx?4R*D?0BIYQl^M_AbchBu4Bh9B^ZunAx|3CCQY zYLs%5wwDtQ^7h2KB6wuL5k|IPv_eoFlaAqII0w!SHfL)q&~8ub;4XWiclaQpo+t+6 zQ@KORW3f%kziH8K)88MriC9RedxtjAGWh2Co(<$@QQJ(fd+-GalPnCTf%^kAa>&r{ zlx6_uEaj0$D0B3GXT%v97)+hmDYp*G3Dtse&mU~FFXh<8gGW24M{Xa472FLmfSJhN zDx}uY#pV#Icynb<%1vC$S9y!5=m}`u!7+#`*g%$Wd~J&VjZ#UpIN$Xjelg<#!omJ3 z*2k2UHDQx}_kr@OfraZ-fI6~qVuywD0gCPw8vPo13o<**c@Pv_1DP2ac_9Yr>FFVN z`EH{H*Qv`ed&5m92dc!l1AoD-5&a}OdbiSY8g-6zyXs%BcXBgSK+1@39UanU*ay5= z`v|g|b}pgN8gM+19Xdo73b!ICBP}rJkOc_2k7ty5_iK%=UcbH`4v@~j)@TeRnKoOU zyZ>P|vi~<};>kIV=&Foygcl-0_ZHZ})R&%1%OdCP@$}1tE2USl8 zh!nCDH(w1-fs`Ot5>P~j-`0fINES- zs5^klUUs9rbEZ}{neJ}nF9+)fmhFi>ZCik+i7bde7N7(QDo<4|^e$C~t?by6qO`O}%A9UaxwfVs#YJitzmx*cfXLokW2A-Txje26c~_jipL+U)-oX-I7U6%_3h zj~-QniH7Q`24;yH4qz5y1emzLE#ZfvA05~2}+!>dS=7CWbZy$O0v zmqZdhMf=xp?X-cF81RzEw!FN&n)t>fHc(unX;<9o*jJ;7#mQs4X5BhCXTr<=;b&9R z)A!uvvapuRs6jq#OP+1=A&ha6#Y?zQu{X!qtYHnq60lI;MwwdnD_NMKT#1P8#6FER z7N@6_fp^AJ$;3hoP&#@PDnTUt#$>l9Z>RI+<}0H0g&uSx<{b#<5I`xzZ#MjmZz5PM z^3LtskKu_lLIl)Sprfq+Yq3Bfy>Q{h#86ur(lene$p!yPW+)>eQ}ZYyGXvhH|HBZT zv9KUch!PgXU|~|mmsM825@#h!HK5z}0AV08KBqYw%N3O5U#~HsRgVbN@ad+F;4fnK z7Z50aa)zRI`B%#Ror5EVo0g8KYtFKdy@{=|M&oZ& z#){aliCh~WfY*T(L6KI`&^JlfLI1c-07WzZ{t)qSlO2a~0J0MsY*gsQsJ%@&7|aO8 z3SUuqr2mRk8!VLeEB|FS3z4(`{R%YUseMncRxt>tP`qUqc42!kU%yD-w5oN+zxEdr zY<~U^rXic|v;DG)3-^eGU#R-pQhO;R;v0wL{N|^0o{+6T8J75;xr3VCBc;`#g#~;e zX?`FL5BR53w3H%b)c4#mb_PXZMN#C$wVB~dmPpD9`*A+^N%dV%1s0@Fp;FT z=mnCB095#>jx|g=QGxl;6Tk}%4Af%A9#XzRsD6SA_%jKhT;C&V*J_AffjU4>V#NeA z4SC9424n>+cZv|Nw7~ljuTQwR{UI#uP4QSoS)RLK^{F@U$tP_4U$~(GMJ8~bRn0B# zf!2Hjlnx~KTHJ(h23VZ{482j# z&asblmo}l5Ovvaw26Z!OfkEt4Y6kDTkE-rOdA1s=F-iusi=fClPI@b?;25f(fRxA& z-V-M9p8=%(7h1CBv17-sQ+pjHnKo|xM#Dz(oA=x98h0$r%acOS#`7=+I^Rq{<922+ zhr|ri>fXN_i^k*TUB9bW(TJq>3swFbdEK6Pc|7{z{5f>!kkYPR^!5=O(6U5IJ2Sgn z=531zw<8KS+10_0Yr*J99Uvw8M>pK^y$25xU>r&Y6FUR0_a&Ok@UaFD*b%W8=H}*< z^0zdD@a*g^l?|lRy|KMV>~w&{5If3StY74BqnU&FXr^N*#A{!eDW|P@hYC;$s&)Dv zCJN)%!c`t-L2Dir30Y`&LHwKir_flAQ=0IwHpjTy5vU6(Z5pnCv-^? z4F_1uml=X6KIZ>SGyngUOmUP>dj+MklUHiHsnbd=!;+&{Ed0F(n72r<*LBHV=@g%p zfYA_SN=(dMNg0buc8MtuI^Qe2JM4??V?6!W@g4GB9h+V3LOWHWn@2toi+eL z=>N;^kQXh>T1p3xz;V+^)pzwo5>fi=H36J0CJr4oj9{S@C(k23YtIJVZ%u>vx zr7j3Y7mlGVibN$xW_WkKeGN3ba&x*zuxZty$UUK^*3PT&?Fuc(! z0>e6*&FXTw3VK9;jQ}QU>p!ND^AAzwfY8X4EHOjWr}eN`_nyg~kjLvZVl&|xZ%>gK zoT1NZruL(h0J)8&uC|u=lkxSR=&XxB5uu_ySxvbW0Sq_oB)4}mHa)!EM!|QSw@0Q6 zwus=EgaqCjcW5_$3H2*KYM?%rTi^H0xm;J}LkuMZO?&%Eh)&5Jl>6^tIt2YkYC45pHBUdDeZN%LL9sx8BP$O?&ZQYl!gt=*J+`oXu0^m3pen`oGQMG=_mGz zQ8p8>|5)tui6~e?g^z%r*FvMojdLC|z41(Nb-<6fCYY{h8UapA7y1S9Hlg+*D4usG zLO8l;YJjE3n;ocbC7`EM{5ai@q6VT-l3OWvZ(gL2dehgK9uEd!A99*TcOE)%tk6*j zS_&L}6nZRQurvHd5xjzNMzrXGU8f!fC3N#4Ue-XrcKXqvPFmZcU?vR@pI^r*r3=UT zo$lvpg$p^P#Rv5(Kz|~RGmu1M@|CpZzCwWf3D4%{=ZPZ*5J46E?z>lZt$BKcRb3d1 zmnBD6kh3~=s75>mJATgxgw{hs+>yGL_+vm^)RW^Q(1YkS@a4q0FE2kM{SreEv4xV$ za9cvwAkqv`s3DqIAxWTfB`QF8Qz09r;LWKih7|{w5zN9NcGBY{ zS{JL#?1lCMNYlL3YoPC<0OCkDYApoAbu4=hLO7};O-e{;?zT`3Gq`E(SjhauQ2-yW zhR<9F*Z7+?LgzUcD4qUfmcdN+*FZ2N;+Szq$%E56juz@0C|bMd=;&6jTzQL|2&B;e zzq~NJQ9powk~*h)qn)6zp+YJ_7b8qE8Xn`(oS_84`PI}3$}khjGQK~D8%%=|fq1NN zWPk+_s5$Yn)#stJ7WVGL#4W|KfpY#jAt&wfMy_H~+W7{$aqLQ8RqPEs@e}lvCwR}# zkYs>%e6>nTx~XkQ!NaRiziD9x@VVWrkcnqsnpdz9DV@0HhzkQAzJ9F8%suc+YM}cz zzvx5gx46`**#}X?7nHU@iVFjTK96xC~Oe75!u~D#)Q$!th7qkDO?rI5mT3B`fi~7PE=3e8+roM06KFMs6CJ&Jk!TF<5VgR; z3RYiU5@J1GebQABM;S)d%g-|goa za#+b192hZ})j?0z6r{+z+@x;7*$+BEj~O^b1Wtz6n)g-1C3zIxzg}V9hjs>OoUlV& zGem`li`{zU+q>YHj?y5~Xjyea$A}a~0(^W#WLb0@jl}iHNg>A2Kgp^Ajcy$DNZR8S z8vTd>F^{tk)B&O({7f8Z6{b-5#j$#Jk%I>wp&;6fW)e69KB5=B0;U(~CZ30=o7|=l@C6oAQd6bo^zox}sHZU^GSUvfp#sgHb^*dWaI8m6Y^&$(5&8G+Ym88tXeo0Vr(F@O)1!U zusIQ901IV8jn{o{_Bnw_2P4@FF#+7Amo*K4A| zJ$q2zsR3=8*a^(a7|~d06e{VIg!)Rm&lD?|#&y*jIs{^BZd4?q8yP4z=84%Ls;-}3 z28V`(6!(_Q#Wh3E=D*+D+%5TN^l4j;5QXANr+@ECUG`T*J5%W=XJQ30KfSg zd4hmKp$XfCJoqFhWDe^O!8|avJ|dkl^~N5@NeK`BS!&eSV?dOg6@~Mq()Ky^X?X!i zkdl&{R76Bn!Mk8$<+21(Ph2O&z61_j5nha7+k!EGzl!)C5J55Y{ zgu4=%UL2s20;n;M=voJF!jFfOVCZ|`;ra};$AlIdsKvO?V;Y~`+Hn+4{U7V4W1x}} zkG6k6fEMXH-MDd^A~`9DxVF$4Z%9~V(nyXigj0P!-|4_=A^qRAXwD~>BA^LJS^dm4 zZX;KN!~jnaNn5m(i~)ZR>BjsgyZo0{dG4=%t${+iyKhwUZYVNKu2edn zyY+fgc&ozm{G*#%SRAxFvt_m|g0t<>d z#mJZx=zsck9^-;N!Rc4%jigs-y3;Sh^Vhl`p1t(Vt8-;%uavy1aG&(-rC8^%=gwY9 zCwl+?yy@lt|4sitxu&5vINf%wABc&yw6zJ$^QAlrt~JUJjgD@aZV9^=EweaUzLQC_ zkk>?A_niHy$wGeyX{E~+|AKjZdx*%ff6Mdr6IEssLL#El?ce4@-wgv#Dk@!f^x31M z1fAE_L>m8g#5ynLHF@-%c=hcqm#@qX=G~l_n23_OZPXrR(`(n)+e^k{NhKS@Nz2I@ zUQ)uVUToR%qImR?y83UvoFz^E9`j`FN|zD0jgHrMzJ54b=Q3rF_J8~KlSZ+nOf2_O ziJj+yYx{F{n*lAyqh<9`OP-wSWBz#lmvm_KyWCv1f4{QYBA#it%qDssm*=q3(bd#Y zAR#gBR6ORw#9`E~`|oFZ5GBuY$<*H7p4;)>tft4_%&ptE*`GIG{m88LAWOZlvt_D! z|6j)JG=DX>UhR38o#o)R8U2~o2*I^_BDbAUM~lJS*S`zRPqNLe#wwzlXguTKlAq*g zSK2AD>5^T%`6wvqaoBCQy_raFKfk^L(>|gE*FQfn`0eNJ%gEsFjJdMP#&Xk(h$MEz z@@(`-(B!%9SSl(hb*a6Wt%D1fQ&v_^YWvDLplOGPyx3PS*SL%NwoKHI=Fpq>aJ@or zO6+$D46NkkZ~2KFzU~q}2wIzJ+Sr{6nX={`taRlW_c&n5H|{dpU7f&4mlhZAWPz}U z2k*41`ynhWn$xrw3v(YXi;;z8=9h-mg&VZAuf4s!?Y4JW)C+ix2lhWV22=JGnmoJO_4P}(erZGtIfl=s5wtrZMU@s`<1bHm#u$m`wKbGF3-*G z3psFaFAmjh&i6S_he|jdt~DJk!8^|s4Ol8t%F6u40R| z%Kse@8wtS^@`MNPyw*UPu2U@xSxyr!iCL>`lSib>pvGjp$~{fcYNFO>b7?rTxmmKd zws!7U7A1#q=O#@etiph{D+>yC{WiXu@TkIGpVkh9%T0Rv3$G4Vs%gSn>|4k778fnr zjX1c>e+f?5FeQQ;qZbs6^Y%W!T(*Fgl9IYR(#3|W?Y{LCHkE{l z31ePfo~B&~*Wy^^K}k~-j}-hcPS-}4 zh-Yn#r%?UTpuLZ2-I2mQ-Ye)NA2E#=!n)-!cGedkxOG;k8F5vKdd8E{s z)8`Ysx2A0ieN&-prMB5XcE{6aS~FG$<0r=w@Jj*y{x{g!KNxkytaXdw$FJ`*C>2|3 z5fTzMx3_0@dwkj%jNvjbIb3f`SIfVB#m{Sc`nfMIdF^Y=OL8vmb!<*^$$q&*78QGc zV~v%S92~fRJa%32+$%fR+}1WV=DPA()axSLfZ4Ci7Q;xb#$Q<)N3+w@(`=R_yl^SO zqn2s#0>Q)8I^OtB>;Zmm@sq*O=O0ft=aNKvtusch{@aznmQJRJX?qL`G`61mFwrzM7oWN0%?MuWxL4_H8*Vk6>B1 zCbaBr%=V?p)4&g%50;9fxnEF(hK6d|G!V-q3SVcW@eqVH_Y9W)$gJ1$fgYEfecDlL z=j3?hWOp&Y3$@#qcwGO1URsWCd$1$8npPh-ZZ4ET+4=QMINgH`Sara2-; z?PMfqO{Wp_mz{BZRQ&e-_Y4|QtMCi#@H}0%7m=jg8AQ%eGMnJah(-%f&8|yB5{3uf z4Y8_}@Jv%v=H&RO1-8~|)mNpoD?UCx3>6`L^UtT7Lo3!>ncTMepN%*Szkt28@wX!& zAYfvxiDovKXN-47aJRPhfy?Gx%|cFfXVg7|-G3Q5PD_OYCcUXx^Yinl@Q8?>az`uJ zb3(`Kk=1N=e`PEy)*dCeZx3PXxKVK!G~&YJK3QwN8NvqZk1m}iP`RsOOc$M+z6XoWy0lPXN8CAir+okX-UuFln`OF!~I0B1R+-nA=mBA z@v(g45DYSSj@*LOA=U1C>oXU1k;)g|H3iR$4P~&uIqy5X#0_~PDA8lT#pLJLP`y0W zpqC53o;t-jjyX4Zj%RC?Q$X(F#KyrndO;o1WYYgFBJ{%t{arWVIyT&?sSpuv6!LDo zhAhUeqXt|;J0o^!m0!AMIU3(xH;?Kt!eo=V9oAFfY&VtQy1aHWO2q-07L!dIY9;oP zyvR`j1{n@1niIE<4Qi%7su72^LSdq!pnwyS^v{x&sss3+APAV7Xmn@Eu($ zFJCTe^A8B%n<4S}*5}8^Av}Q3eoX zY3@M~34P6-o!qdS^nPY*4Xc(rEU69f!;V3oGYa>|*C#2yHn6uSbUgM9eKr!DCb2Nt z{&vQ@_L^4$D!Qoaw%H>={5#S4FFE|YJz6RGcy7+*CIdrSZ7JrZE1Zgoib02mhuBLH z$dLqugtjAlbab{xKfNGl)mv6>seJ$beRsW$6=T&&P$rt)M;cw~4L6Xu=>d5pxu9UP zq`z26Nol?>tqaRfFfo8u%vX7?(5mkXp7lQMza}I<3|eqQ)hgNSm0okHbX#v>I9@nZ zx3Rg`_K{^O#yp#rj;?mxGEa54j^_9WBLCREo2J%IZqd{C6ur>!I9!uJ zk+5pZ$jM!S=b3Gt&^2oSNh4D=?+t8{a9c$mbU3%?5&$XO!pMkb)$SyYW!e1g%wOw<_WX{^ zGTPeIJR{baI&Nzh0EZYKQYE>GipO^NLJ0vV)*izZ2u0DR=OJnQx<@bt7aceEM<~{b z$lU@6OWYiR*t3S5rlg?oqxZA4>2T4KTK{G1A;ZW#&l3;flS8{>Sccy3hSGpzYr2!g zm@)}P%zrV*aGE}-_BfJr$y%vCNmyOA&My5MgT2(`p>w#uBbF%a?jIbyHI8OtnkrwZ zG5|p4?c?**sZz^f$PiM}QFb~clKyDux+Jfb|BW&CfA?-1U+DO6tQ8d4P1Y-p>}fIi zF>!H=A|6F%KfgYiD5{%4CBYU5T0Uv#=*rb^z*fo8?l?X=7y{f^=ZhyWzgJpXO6F_R zJBxAnWmZvbK7r6pQ8vFn7F!DW%drfi@# zZ=Z;WD5QKP;J4iLM-9t~KQ&%ZHc1(EsCwq@Rdy%m@jZ7jp#~#mMbmw&|7WIJ7+R}r zcg2n$kg{&WTViJIil_k{&v?LE+11DUeR7xq@7@_5AMO>H54`iEcJcqnqVXXvt{rma z+u@~b>*e*CwxKF_0mudMp0Zx!bkIuZ)%mWC*md3WJa&WH{5X(=Wp~B%r0t7rEQ;55 zy4jTGrhq_fYHI3K(a#LPDk>RUB?HGf;|xPXLr#L!#~XzO>(!>vY1xRf_+F;xFP+bmti~ zaR`fWbCcu`x&7Z~5KVCN5u44VIJf19YVzpR+WYu;E!st+=g(0hC)XRBnhe;ZRdaP; zi=02{%_}n4I-V6dS!1o*F^3ulX$x}kiH*m+_>1cPynWBg!QXjJd|}#~5V**yK)$Mj zAaZK;h{c#mjeSZqm}$oWxY@P6nEe zRq(;ipN1?y0hLpD#vS^s4yX+NdSsb8)d?+O3>)=C@>eM+S~2kj|A?%VEo9%kb0+{^ zL6+Fn1SoN*Pk4vpNt)bs%jzSC#t@n=SaBp~h6MCy{U?tK&T=r5tJ0NSETckX1an<>I_tI=c&TPy&bt3kOGF z#vNU?s}Fr^G`pdc&o<=I)uWy9M2GTRT>@%qxk$7Y0;%q9_8zzif02oPASLzI^IlH= ze1}NvLP9Xn1&>#sKGF5|_8wMlRBzT?qERjpdihTob#iw$QpbbOSI>I&k0`&xqSJ`{ z!mlihxv@%td-v{Hj8*J;&%Rt7Bq$%1b8_N^;`KMbOE@Jnv;Cw5&}U2*%@OIqT$n&A#ZxnKNVg%8mqYc%yM#;mWeUk&j*^g^O9*0L;s(z4_= z^fc6-hc*u$JaB>n*CjSH+Xx_fe!N-)nxVfro<~d$EpO-z6FC{<=3jO-_Q{KMe0msI0xi&?#;2vBe7|Sf&OY!FuoX+OXNQ*@ zw4Ej{ynXw2?q@ntASvtL^t1&1)ju_xb3K@h_+!Q69s*FW^`I-)beaDQeRfzvLT9ZH zj_GI_m*a@dCFtr7A&T_i^#CxfJGcfE@{MHQQSsFR%7Bb;`2>0#loOOja!!-0M+ZBz zfDIcKw$>r7UWE-MC)cSavO*LP7&yi1xralDpM-_LoT{^RK|d3N`G`(uF5 zY(O9oC2VXB=$sZ@i$OLDPLo%9WNzC-#?v!1J=LBkL}RmEp2r+;KO-IoOYqd!Ag>(+ zX&Xa(X7K07YfaCitM8)fa!&C&0$~dY9e0-@ z3b`Pq$fZCC0i=vWU@>&r2=r*=8Fy2f80kropaeRq5jJ8l+yyy+a^!_j9UaLYK781u z<=UJ2_z@(N!$NM0!S0gzFR|}5UbsOiYJ5*C76g1%ol!n{q4@wew7Iq;CkL=Jy(hn+ zS$VexPiezD$0san@_1n(er~06c7t4AXe%56-h)dHDbSuZLX~?_@M8EEFekgFC!W-O zSsFZ;Y>$E|UXJ8JTR$*2T3#F)6=edizsbipM0QW#JI~{2zfU_dg()+!8EQ7X{BKvH z6&cXTdC(+KKymWw$<-4>76{M-H-I4vnFPVTf{=R5`2T2ph_m|9;-H;EsI)A!E?|p7yLWe{O6{ z>3KLs6AW98TqUFbt44A58ssAiLqkL3!xNLP1ffQj;t_oWG(*=99QPaOM|q|oa`~6+ z2nj-oILLkV;#OEM0NebnJl3izT3&c>I#n!^RoQiWF&VOx;Qm~S;AXejYqW&8_^q!d z{^dZjD!+w2iQElD?js;HVB=2>87BfG@-OI%8S(<2Q-)gcPHkPCTB$9)RrL|Kv$M0f zghXG)Gu8x;{dtZtv!w^ng7Ee0J_>8`ZqVloArA1DykUC!0g|tNW;|O7&-lFqaYW;J zxOPYkBm%}~s7C|@p{PB;!q)up3_{f8HZ{%h+@Mop}vLP_BUb#J1)-9aNORsELU`|3~A;>{Ezy z_WUOV-1`3zJFkkV^$J-4NkcYVFFZ=_T#F%gLFz8GQ69hyNA@Tw@cl+wQqn7Ez<{IK z3eJU3(qwZJrh&>d35dt2=hMSuYCFG%B!f4BjO8mqIfi7pd;^WgpArwg16fMW{`|7n zMZ8ZCqO%nqq4yQIFAKxd2^#Z;XJSjs=eC<$T`b7K(KkMJqgSkJn!W5cKh_bR!6Q7( zZ4&j}HHFL4>`UR!ZLVD%MjVikk!Z4C9w85Gu+2_*+w7cXanT_W(Su zx-eaNB9FDxP4`Q-jh9E(K+s#wYxZWQ-j5o6oLJiz7M+E8Tmw?+#rnD-At7nNmf6pB zzYau~`2#n3@vC}h;+_BX=A3nGgZakzZIP_T{okGf%B4>0Q=5qMzRJp?KRP2~WBF<6 z>FmvnflID9S;s%BZjQelewMc*NKfwr5Ua1$&KTkGot&IreT(=f^S>7Q22vHx`tKq< zBeW|nlU$&&uQxj>}Wm&Wr=Ftwz8JRXTOat+Es8H?8%`;^`BaWsw;+`HDBZe!*Zno2Y zzSrlrY>dfECqCo&E_M;_AXeSGGg|Xz^J-Fs1T@xGv)|j$brx4@t;BA9MfTgmygck= z0s@TU;SPjf1!~Z*Z@yliy(Claj@UwkO7we;2(^xG&PK65GW^O9@iJp1a_XWOT_Puf z`9>X+2vU!1Y=PU+Y3U+e=wbZtO(? z&pi%gOp-KF=(r^0!^e-0ygQoevz;LyT-d5L>zCE^ z4-qLu>pLA0qHfD41T{@zSwE#)*8nkDvhXt(`$KWLt|f;JfZ`Zzsd9HhxsR4{RlJm> z0}A$domOwy{cXpx=c8MvJQJUrvG$8a3oDYnh!jBVVlv3%`1Ov3h3f>&c*7uY_8 zYXUNt-RvhL1((^iIl_n2*Ukj?Z>7+JBFq(l9wJ*iI}HD#1F~>+sl?xM53*t$wIhB8 zZ?5b5opYGh*fXtXOvP*cM^G3C zwr8orb3?;C-I{aS&NIZ><;(nIZX2?2Z2|ae>}8J$ST*C?-j^9-&puV1GQsyW)o50V zU!PO&3&8UFEFHO?CUO)2%N&bHkSrQSe;mp&wZ8dNeWu>rNG&Oef?AAlh}qC3OuZ91 zSj*SfpHkksI``iF>`1J?@?e1PDH z%E&ImX4G-!xOXo!T`7$nGRJ>1kMqgV&ip_Q4NB>Y3@sN|1iaHd>pwp>wl(20Z#luH zgi6r_rR(su8-U_nw<_$}Xg0}!)n2w%v0)1I@22v5Od(p`gmrEsy_r#ZTT;kXO1zHH z+EaNuYI(9S69srBhR13de+g3Uh9gCQBgz^8)~(TH&gd#^dcII)SyN?Roxmub19q6#O z##yI z3!3INJIy=kB$Y&|_?q zj?8yDuhv}JYtuQNtkzOcxNm0mZ-q%29?;!*sHPDA$9n&O>@pn4)?%RgmO!PQ=UCxT zLK^rtw9V={hgh8nK3Y}!m8bGjQnfR-(3fi@lO93IvS0YMlsW*SEictO zsc)L8W*oR#GR$-}2ssJe+&<#@EmxS7ub5nQ?1LS1#F(R^9w|j?$YVmf@CbEM8!wQ zsPlLO90@asHVjz+g!{FD>f;F5s|U|sf*&dLPXurr;dhi&fpjOwdunxchW4RY|7Ywx zjn*A)E2^c}DI9mZ983;@5S{POc&3~13UM-t$g5;)J_Z8ps5qnphX$CAFb4U*RR_x{ z1qIZWjVZhY9iQZTjcN}edBL^w zATk^mMWu-KQ<{7&)BGXF%USi)t-x=zF`EcCxEd6%l7;MYPFbaI^kK=5qxz*pMKOT; zn4X;_A|@uDvlTx#ImojCj2As9Z}Pf<1fe)FdSnPu!!zcDnb;)(Ff4;29M=97U#0c% zAqA>ph=bB^pa0yy!S3A%iAA?^k@J{D@VNeh_aMb#>Gx~&%9}6HOmLb=iGO41cu5r6 zs;sKo3=FNKw(AlXbUdUC{LYyM!tv&1UkN^0qix&slGk`R?@r{rz=85Q2!H}1)o@6d zFWWoQ%|@I$!J7FTfbK%5T@n^`@BZi3c71fmgP;7b%A&9FeFmT?ICLlR(GyFMboQD= zj%$Xks;|#|7w@Dz^_hj*S^UaWOHE6|yh`)$=I>=OJM4#@?*p)1bLFGiFQoO6|9B(b zN#h>EMA!fE4(M<6VO*G{Wr+<#oGeI*gTJZDi^>;g>JGO!xg|IK1oTNLG&1b~9ke z;x9s(fyo6aHW=A*x7f~*z+E*}RWby9)%oGif(~U2n(pH7!a%FO2T%$A{JTiMDd(X7 zL?T%kbDrMl%kt%&ohV>L5tpSym3f6Y`h~9C zrMcY;ej$W>10xfrX1t{JlT-g7*42#uR!DpxI^nNWY+M1!l%DAwuWIZIWAQq|i(fuo zC=(AIr%!8dujUcopN&pSO|=GDrw1rD)U(@!ah!dRk(&AgurK`RHZ3g%s<^9OqP(`- z^1Wg|OJ~7B9p8Px%fL4|RgR%l=m{$j9hHub5Cwc5vuf@uSou7o4hpxbb=oDPFwq5G z9xp}d9^|*TGPE8AG__CS3h>F{0H81!t8hjhw6ObrcaDw-)R#|L@(upXEo-5SV`a$MW8~$)hXXjra zHIeVz02M%~>npa>0e8#wxepJ|NuBL4LJ)bbT;~^8SEsmig-RDN1G9R8KcK}EzQS5T zdue+cn-5_z>euAZx<*8tfm_|ozv_Zz->N0PFnIjMi%ZP`Dq|F zr}Bxsy?uep;OF0GR?fX(NCHUSx>^O2<`pX5`|xp4wvY7|s;?RB^lp zrZ^e`0#P%wy8tVWyAwWq01XBk2v!Ui61s@9K$_+RW6L3}APY;!$t*}Xf9(0?U8=7J ziYi7$rYf)o=xN6^m6(z&)MP49U*(hI*g*$mb#MRqzCH{+5qx;SMKTNCI~dM^2W`(Pp!Kci>y=IWlT-)fLFp8F4Yb2?(xAxpi_ZphNeawLD7S`v_Q-DD>(Dz zY?={;nk^^`8PX{hf|v?hOM%vZ1@c*3TpUpXjpf!8hFa-(N&Gt#B0K&Pzd3JdrGDdx zy&+sL;pQKrVnZBK>TX?9AXq|kx9Gi!g`uaOGpn12hcL3NY?@RtXb5vpnIzHk ztTnF+JOsuM$tau11B43K0e`nNH}g*LT?rI5EAitG)&56?H+g4*8c&uqwC}q{l4yA3 z#U~@6qu@*e%_WF}>+V%~F*ItQ z0olT7NKSh-ID z9g}GTNo#BC;Xw&x*co8HFXg(Ve><%M ztbvDiT<3yUma|HN8f9?585k1*S0A$Y0dopsV>Y?~_%kLh_vVRidX(z#+-L8F2aHZ?qvZ zK+Vw)@f+ZlICs@_qvuAeSY3(;-X}rt3`Z#2pSQ*fPw6t4-V;fAi@x_KY6&L%t8RE;2QuKOs~#-fnMTK&x~uF2A8&i zxJQaxWPsM*3`9F4>jw3SG`+BJ0^pf$aC3l+L-IEjEP*@O^9X1ulS5>t5Svr`3{ss9@uqhnA06zQphsR>t*RTH9_qY*SclP11 zCm-jStQR9|G9&}ibUC++&%>iat|%4fW&Ds*5517{WNla=tVJ9sWhU=6u+o|m@TPOR z7=mH5`2y|j+rELURZ;Lwh5}Lsi~@rd&iNv_NKCqsX109Kzn$S`Qi0{At~a*+gIY^C zQVSX=H1i%>33@?(O?Ua^2*R#4tM$RbL2SJW=yZOw%XTuI;*HW9(H%x$q85W3M+VX< zN-ix79B;7^d?o+6l;63(6mOfLB z1G#^FeY)F~J@l_mH)`r{YhJ1X%h4DF?hivQ9V~lk?$fQUsp&S-y(<~pRjpp35=@G9 z#rXR-{zF0KBS_w`fQSz0`%SvLhY5Hm@o$A7(jh`ovE}HiM8C!p_S3t5Q0!MYT)IDT)-f7SobrQ$4aj6i!7J2 z*0=L#NK0pTrh69_^BnX&Az2jFFBeo!zO9kdldwxMABHa{=}3`3`^7~6pz9zkBDSRFBNcsR1KR`QI1X@F+)6ltf=g#^s?y!OSvuiMiGZ}z6#TMOcP@e%;&q)8 z(YyeNl{qZ6{tp%eV^E)iFUQLL%LClZ$xVyFFs8t z&GG6bcxz0pgl4|8U|Sb>xjYh$Q0YVY#vG=-x86NBT>JM$vP#x&Ba+)ke28mNYuduy z@kdQT{6vY{%((5=@@OmqltFU`{HEx9hIczL0vl?<{D^oEqWNFm1+SEFIgUkU$9Fr^ z?;PDT0m^(jD>w}^OgipI;9*Du4D%ZOIJMW*A>3bC!#A0lg@A7d#C029DwO!JyJq+w zZ0m=R{u6&2qOM)L_C6+t;*XhlC;n*N ze`$GmB9S(yd&WPG^fVUfX2I)%P|7v)_Pv6Q9Ss5hgz!}mQ^-o?4mI*Ouxo;8RRwt5 zDjY$U>bO5hb=+!Ti(+bqO3s{SK>|LBs^figaJ&UIJhxWr)6e=tUH>SEOcV)`d-~_W zH}%vA%l@(LITn2(&A7RGHe3)TO##LOUn%+dzYTE-DcPVQ)1b0V6&@^ETfJiXptLua z5;9orDFOmH0bIxK)g$){8I-Zth-O!TU2TL2|H}1z`VHcDhQ}`u5gxueXb>`CTWX?I z*YJnm5SCHS09eWYTqZ7msj(i1t`` zP*Ukk0G1JamnIjzeo754&fqocr$>q?FoGIxuZ+|Dc`JU`@2qWDDX^bcM8!0e1^oQB zL>Dpn={%`X*lTd|fxHZIZmQxLXL~5;x!;$_7A?cvV!ygo^&SLL+nSb_F-{&YZVA_k zL$(A%iD!~DVfwYR$5X8Yo2C@HY1FQhBQH+xb&PDu>Dnig_tp-}7{AApK)(?U_6h)+ zuhG)~^C@wdKtyvP#x0bU6`rx2`eif=E_%H@l~~QmM(dX8Llw|PoWNuO1}iLkHM)q# z(gar8B0ckuD?wI>M0-VvzXv$bNx1g2N1Jm_+VEGgejUkr_n%=QtQ)_n^B6tEV8 zK&AZr_LS*Ie}FRjEKS(eKWASnu09F|>K!q9uyb(iJ$EG2S;G1J%$6Kesm&jM?LwJM zXwo!??hJvz_#%#>qn@+Oz1R-K$AP$QfU~(&@*uPoiNgMmMZX9_TXhT7OaFb#Amg`Z z6gl3#35m%7n5%X<9K*5KSId6d+o+8y{u4JjEWiA!4F`vV$}L|c94IpsuyBZn9BDS8 zfx2StLpK|O2ml(l!?^E~gti(Ksv}e;;xPv)$ZdDR4@^ff4bfLfjQNp0gcmIJ^?G&^ zx<72-k{!PHYJZgi_UMeX0d!X|Q(+Bx100WvEO$;v%#`V%B+Yil&ySRHAlw?Xwe5)_ ziCaSs+%tnEpDgc04zM&>V%dMDo9$XYhqGc4tgG|Hnd-5O%rqFw3;>d=Cu@DQ88UgXmx&>?JxD^njhjoB!kjr2!0RM zthcx6TuA*vRp6VWBV>f0L?(_m6rsMrJ`)=hM|C?p;O_@@L(TE8-jZ3nXwsy935$wi zp*SkzJ?l{LT-bo0j*ya)@=vSy8)S1{jXo-}j4;&0yF zeuD@(amE0d5M4wjo<9O409_8sAWOye&n=zzBX293sy8}2eY2y^v3&d7oEn+gLj0x4 zVt%~r) zlHCefgAkJ6YD^F~-Z^l*0m%tGEB|Y>(k87CxaX z_AVHn+IPSwNGbkNSfn1bEkD~d3P(gq!C2`QXn$Sg%}X> z3?v|{p3^Fl{QMu|fY;mChZu60R5Eq9{`FrYKC0k~X?WiK#W!~OvE1)|YrW$0xeB3o zZ?#&o-6#ygNH?Uq%bmY#qS|%$jvmY>AwJ?)zyt5qxqztgvm8x|dv@g<3W|!gh^3** zjSsy0(?ItUzw^^@F9@>h78Qw?dmhX=ky> zQh=D(pmk`0DL4dl0%3yOLAnwH3`k`VPke4wypK;u9pcwS?HYs({{#i$LgUi_A>WQr zs_lQ*Sr+i>{`@z8asyBWSejSizaoKrxLD!>tr1S(z=9#D_K52}g6Y|Jo2f@9tqUmN zpi&s|v!+H0zD<1bNcGJLRKA#x71QWsLNTQ$F2-mbJs56a08cQO&tW}I?msU9hJQ%N zj^7rLL?+36>5A97y_z|?1nbOmDjPw7lZM2AtTR}>X!-eLL{9d)P=fz&dfW3?iLZgq z?vD%&tpTO235=6>7#Y7>XBvGi7JT1SYC^C;`}3Q&ZRiF|tEIKghrqxvO|nP#E(Nk! z@KOvG&kQxUw(0}73t}e@qS)eN!#xqySk4>QvAySQRBUmi}^Bcw9e%XVR~(WZR# z{@yt&fKLV46Q2w-W9!*;US(Vh)nSjmL0>B^1;?i!HCiILq|sNbPe7`37Oh288N~ z`~TJ07;xw0(umUf=Btku5>TQ49szOZ(J{4#3=$!uKI`l2C=-$?BM`PJBwTa9)ybx| z=4vE8jf+*WnbG+^!!OG$i9fO6o@_B*6~8vs)CX4pnN8Zv%a`3jBgz$ zf(c71LnrmF0+`}ZC7NhzmpNK$r#~3m%cIgD{|5&LMtAdt1QK5Be2C_J;@}ktRB(PcvIm^9#D)%XRwf zs}#3Ej@pGD3yh@ZNo_rNvkuHoV*|T-%^>v7$zG`6C^nQjo#4Ck$jp8 zc0i1;PcukZt9I!Sb2m7ysF;0siZ!B(ZU$Y!LZj1XQeVbt41WpGL_vGS+-{wFV^q{A zypeT&cSa?E5(K^O=2^C5GwuYv4f>9C%7*%SYp}xG!FRqv z)0L{DZ4H=*lC~7ZfVOT1c0H%Rt&&Ku^pZ7x%Y^oax(e}OypE@&Sm!Kho`rpTQ+_<|og{kr0|2%zUTLaXyJ+S3Kf!M=xe08~aU-HV1;(>{-$o4F+pL~sw z?UH z_lmH0@bbuR`MFA75ug|gxwx}?HSur3rKkp6tYqQ1vBcp?F*jajhU$EM-G~bTR!MhAr)ezt}6k!e*89s{TevzxX8Od~J>tU+a_J1NiZ4Xuta%9|- zJFV}ry1Kegca_z+Fhco9540_xqb$d{d(p9c=*GN>$QQpCukNfA0EU1c+**gp;jhJN9vJunl8y<}M& z>vajAnsj7mWjv&9$;dM_;^-lL(LvSy1g6LVUz-jA1px5gYtm| zdLg082PWgNzA#XkmYEsk)u00Cc|x*bp@Hw6@0QNR9c!9AhYq{QKa=a!T3?q`uZonZ zYCH8gL_HS6-`Oe^XayTB7tZhMoW{s$4OZxF*-ET$b;@YB8JAScx7EBu{ zz+eo*l>zq&OwDJAb@eA&)6f0`!u1y1AkB+IO4BN{Pq)qlpDN^1>|}TFPayNN>^UJq zJ}TSSR1O)9xj~=UJxo4|#1O9i66`wN?&OA$^e$^XwDS^PPA&nTYkwJ5laQ0o0mY<2@Td(^ys;UA}Rl?ymdt&$@~FU*LTKAg#+S-~n|@mf#UfBg9I@#<0Aed_Di zv(lf_RfnB52E_Ws!}7dc;NSnApD#}~0!9d#6l+6Q{%L{&W1h4)*{C4RK_Tjv0c@D!? z3A?*aV8T?GP=z=|1hbvxQH#;C2n6$*51_$91BS(+_XazOl)#_64z|^mN3vx+aD6(( zaU-R^J>eWvId<0K9ma9dAMS513`4M({>mgrOpVa3An^r}{zCRHA?l2QAT5ExdnDEX zDjP-E2*1Ef~zO4bppPH zOJ4Jq|5;0ZSz)YiEL%$eO5UthTU%Sk)j?oJrC?qX?5zNV+08u}9r8u<$xe-=*%P<< z+A|tvJM$FrEm{h}H`(b+MH&5>xS9ay2~Lylqz7a<&vFt}|W4YQ&5>L1-}2LCN}VJ0pddE}&~%uv^UR%Bz#}f9cd#=MoqD(Z-UluwhtjgFLsm zdlG+IU?YoIMWtAk8L5Nst_$>5xw|6P5J^c%6cb6Po#?4ZD&9Gm_o4`CzksedI}!ul zzvV4469V5#uX^Q{Ouv#hWdZl$iMTI6WpL@8mX7VjfM;)9T(VdJ5G~g%TC15T> z0D6+^+~N;zI*31 z-Dm8a_3W~P`_&wv&0}I-2A$sIS7x-x`(l%x2X@U5zmZo?A(IHHz4c8^946g2U>*@p z;5c;-LkA3`Y94ewMKi;LAFT|2cUprMHg|R9lh~Ws{ZQ(5(&h(tK9)oa-&@7@e5nNF zR=VVw1qI`vt?90Gb>x5fPaKXVK`{}-@WZJf9=cI$!3~F-D8+EUXoZRU=H_NyFrzVp z;}=q$O)eSa;yp8(`a$=C5XTN3@T;)^i)y&hbN6)+nLV_;q|kJVRVW3coPO~;UW8g+CSh#4KM zM97{3XB2?2T$3I;WONz!Ez;|D*k7Gp?M?X@CjB8!^q%qP6r#3!NIB-xHvL_>!xP(q zw2sId!wo=#Nc>0YApqgC1xkWU2vf8;klgiP49jA;C>Wv9fkdzc9BOMtrn8KfVj2`H zZO%8Z*%we}>tQ~kV=|EjK75Yr#6@D}@P4orC!t;Hce5qnGe1j5gavT2$bSY#WUd#n z3P8`02LV?!Gc@?ocsW8FhxG}JJ_KSm0hLZ!D`I5(BkOuJT3^Md9ayWrM z0@HxV@i}n8Yhd+!|3tB|`jZYI0g)xk_Pn*fAFXZUXAI^jxyH?%?e6|XThS4&&e;1gF0RTEZM*}=sd(bIHCsNmb)TAsfX8iOxXf`uvVY3$8 zB2lh4uDyb)4$Y=8{E}UEA`nSB#KTVz$q1aKFf5N8ON1bMV1%jA`Kz1%7=?cm`_3|x zxQ%P+PJ|No99s*+d>-PD^|2#Jw};D6d_nF@Fh>XxM~L8YSg2T7Q$5{DK)ixg>@kX6 z^Up#wz|hn3vRbbwu1rAvJq4UsxBUOxw6KWR`tKn#Kq46n0|vWW6-h^ z`lYz_Zyh~M8xMT(#1}J1?-Qh07?%}*>5)A_WhOdBxwDLgR*lrO#e!)g6fbic4WA(o zqGw%S{Gx@U>w5{QX=@k(Rzc|tRA|#VLOT%e} zQsUDU|AjZsyWu57=R=eOI5*+}voM`S8vY2ESS9N891iFQ;DDO)@6yBsYkk6}CxqFG zB9kDjm79cs$Sx(B7R2_*2Ij?!4*UcqB1(33FM$oF>VBLYjh~zzbOPRBnAl<}wIxVj z{-29|9}&?2KHyfM{P6FGcQoMzzn%X$Jt@PpoExJjISTVNWl?1}gMd6kjx|6?Kse3m z9c)(<(yIjNoTpF4)G`^kjoFPoL3T)Mo8poFrVV%(L0y+CK% zc_xKOb{`lrCW?3pgWPaz0G4vd^!DlVpI+ke{Ixqg%ILs-_KS4}qWI(U-)bI%H3<)x z0QwpM5U+q4OC<3C8orYm*u3&zK@pvo5p#wSnO_^ZJWs%BPy4csOtCoV=4YdiG{=0I zIcoX7kl`5r=QsM_cFk^_sM*2kZ*M~2gew3*NcM*8dOHE9I}KRubF9_+Qm-ObF=D*p(&!#cu@ zA>;8d4~XP>KvHb6UaKwslJ`$p=?}573nzBKC8C&s9UlYQ@ThVcj^oK${cH-|?7?|b zSepWWyiNrV_UbDO8Q&K(`Sgu7sv;oa)p}5GZ*m3H4`EJ^G`y>%Q0Ze6IpzFfOloX$?Er6nq7!twGDgZV) z6b#z@vO)9TDlyThll9JWLH{!40N1(Y?_bt-N@4mimZs`n-xxq6t;1!BwGqoX55=Kg{Eg;0@Kt#m1@uCytL zeVuLyMP5(I&-w!R)BM+aZ+r_kr}+3mP5!VmBU??O_TA1-D^?g)_R75j8LMJ&iKslQc$uto_> zTuT@%Lp}&F1e^nRg_%Se?34uQF`$#y!Jzcycq2Ou-97sr=5fcc-cNIIqm@bNYrn3p z8TpY?tLn@8&SF#A#b!UGn1f*m(c0l~g!?iwGD*_Jp?0V9Fc)BzF44H5UI|nYBt$9W z2F4>N7QoOuoI0bgz zFOXEp;u!Af34lL&1`arzPCPkeNKa1(u1>s@pyM22sM$nXq6c!e1{sM!b_~l8{icXP z!dEc%pHq8W4l{~ofNS6tziB#Ib2M7>NoVifcsfzR&gH+(o^43*|FHGu;aI-i_wbFR zB2t75mB=iqWFAUMlp$k=$P^;UloU;-WDE_aMCLj3SW1R6q$snHp_C*c>0M`^=l%WO zKVHYt_jsP?%XMG(b)Dxv_g-u5wYA)v1r(o?^S%5>>-lVxQt|dwoZBRzu*u^)K%C0t zCsIIbG`*t4Y0HTQ1WUkPS4DMHQ=0#0;$;Ixq><+8QYn$ss`Zidrw3;kg@A z`a_FKywPx4D5t*|8YsCrr|Ge}BHKZz$9cx$H?=IkG@K+f?@AE!JJEKVpvG?`p<{bO z(h8VHP!DOAugMNw_tH!~XGSI&UMizR?2Q_DgH13Z7?SQWPzKLss+LEReNMh8r!mtl z{*+%ApA*b(n#SS>5%%@IzCMZ}KW{DJ{!H_M>NkMMqx0L7vG41n>M>R$?mK%q{MxoW zgUHSco^|kl8ZXy{Ks^=*81!3=b+3=zQV*J0UB-KL_RwhVIimyBN0`tl4bEy`J3sE2 zY%sPIBKv536o#fMm+muxBB>+lZTk)+3pzd#ss)PuFuxz!L9xC~FP6X-(T8|>Oy z;_uyhJ*a6__g+CN3z!xGqmZs+4Qf0`*grOwdWi)fU!?QlT2VHGmY!4dl$q|zhb4K`yDMz)eZ`!6ZueSZ*5L`pq>H( zzUxy#QPENKhYgVhi0(cw-Y7w*w{)-U=CfKk%^no4R@kk%nS>K`fIkEHCQ|M|9!6Bu z^_L@5b;&L~PtMxX_`Q1diekviTT9gCrW?9)&02Cw2by6k=y!Fk-SjO%C)qWkB}EmX z0=bI(VgVo5-`)Xb4Dq1w{qy-040H5#$6)D*gUptJOL~JJlw{gdI!BqLz)a`wei_>D zJPy+etE3i0kAK^6Z`jLvlXKNCU~pAW>_=pHh3v1$->-dUW18CA~YMKlnG6VcVO7%)3xC!=X`_l-^e1KH&Rw)hK_PYp5@s{R`Nv)V+Is4{8^e?McU}Xm{6B`*;uXe+!Z_)@5Ia{ zUc7;mvjsLSVd^3aL3;LG%4{3H5T^lROWl-eW-Q3{ z8SLUhpG8*+LlLW?u8666PTlFeColJ%-F|1^)b&aU8nvFI&B08Brl?t-)gWGOxmB}A zxfs<_6>0*HNR-2JkXV5X!U_{D4cn@pHxaQuWEjwX&83f}SY3iiNmtH;C&qS%Weiq-(VCX8xU^4N+ z?A2%StpkiK9t-s!ewA^q?yCCpo+L)wjKBO z*fBbGWq(Io>1ysxrsS&}%I3Tf?mi{^e;Y;A!dIqR-R~R44O^fLrg@>{JHpJ#sewZR zsPHz(+jR5Fmu*S^>!4FY1A;%kTF3cm#YCpkUT(i&)yy!QRub^XLH&2T`!j7FcQ?gu znvs1w)sotC>t~xx*t9f-yRze@8FRM-?ty42(Fe^|q_~4;CR>(%t@)wRXKb4{H=x&? z&$2s&$bp6@^?4P`*4b%dND8qrPv;DH~#CHg~ zeA1^vd@UfS7(py%L<}gy!o_ z3T)2up>>PR-0Lc+pjiBM0x?1e4-Z#16y|j`hxhLPq^6|A#q+X41OQ>=kH+i><8}8^ zH(!y~Te-BGzi$NXbf@KS^osY@ecjVss@fapXr+;G8*1L8)vRpYw}A6u?UU|$pme%m z>xA>HcNW(&Mjina0+0t@etgBkbQyFOEgSo+PpNC33R^pzhG~ zrGTYxiBl2HGFi{gZ(8lXqgpMXzS4f<^v;xx6;Z9-TyFJ#a~t=VxH_$9n~&zQH^P1c z%r7_K?j+nhz+J5i&0|$M|7;x6&=Bke{;_;4#srY_dN-Nz8v{2sY7$pb&T~~HGp0yL z3a!*?5QUBMhpLkeRbrt7+XVU9*ReUV2{ekwir)v#u@;cZJbEKkc7kU@hO}t$2 zF}mPksdXwWRdlN#G(3bxJoC;X{uvSKad0Nf@k> zT`p&wfUE=B>1@T*b_b8YxHyUp2Sb9zfSmn~U7GY&>h1q|UZm{?`axJWXdt*IbX(U} zujLQNxAnrVSOjwkvqEKxfsN82)gSiy@l!whzlg7H{*_ye&^L*<<-aF5Fs=?N93yCM zpxQl+T5W|}fs%Yy5m?ehxOUBfO|S%Be+$p*S4v>jkmalSP;NSm`K|0+_}@%GOx-% zqB-fcVravpr>xX4{ylHWdA5Q=Jc4o7r=si~FWt->A)Jz*A5L5r00biIJAD3p!QZ?6 zXWNBytL&;TSABjWQvWx`@9Q25yPD{C#$ylVt5ZJ46Sx|%I?QDQ=6A*lAN=RDkm ztm5SEs3yJP2Ys2!=MKmWqMUvXJGP@JDJcW_Tcl6Oe!QK_efJtQcYD}(>4LPpmkH$@ zQ93J^{?WroJQ{52wT}UIxB)N*PmExFFK)3JvadUrET0{A#^^wQ<0jwZau58z&OYm- z+5W0$>(QsXHhUGF%z<}a>)?rmyLY{u6XF^#ru-kHkujeoTzCPB*C1GDjtABmSMEqC zTiVcQe$!&@gxbBhL+_b#o+cF2_@PiH?r&%EOyJID&AuA09jB4~lbgUgr5RJHR*Q_v z;*8lio?cegcW)K;o=w2C&l8c5?84bi!2Lk96G$)(`8IM9y{}Q5GOTgxjF0x$Z`=T; zaI}H*9O?E3x7`779LsJ@>Hn{Xouw}LP^caIYNE)6We^{nq&zjbgH0G;o_M5UQGaoR zBp0*v=TisNM^@NvIZ2G@D?1O_;5HO9NcSO}#fR*Mh3SCT$a=+vAsPr1uU`$K<=Ea= z%IDwa5%5v|mP(l1Y>s?^aIoS2Ly`Kn+d(rChe-6*&%hWqexUl2NZc)=Y*M0u6XrPR z`y_1Cz0Q3^T2=_Bw+k!M=);8=iu=Lq213YJUED*AW8vera)D$!Fup!S^jOG}RRC%e z30Z#rOkDSlSre!xh*SkOxXtGTN|Lj668(PZ(aD|D6y|>&FjN#kPEC;Vh=7-qS~fCg zxDu!49bxj%0F@m@Aa+^QeD$8QVKC;oy+j#gEJT*IdS{&bE*w$DNiCUzjs9hS z?>Ffmm}tFd6kLSnTKT`rKd?f@QM(1|sry?Jr3HC8;3ZcnUq8Y$(mQ(LS90*dKDNib z_nz#d4zmQ?K-}|)r!$-|nH$r#>1L2X;N7k@0v*LCI6@JFB>NtvA zSUxT6CkznZK%kaeJ%18*)9UE+xcKAs{y#6#ICSvv;ng^*W=dta7>P|WsuwMI>KYnyY5Q(1M=B)+G^{R*%xvQ{So!M$v5CI3oEme4#XE3& zxfN5H>zoF;*I266+-`5zMl`B9;amVn`@@qrFYJl+19^+tfDU0@Y6)x1GMDY7VH@vI zF)a)^25joj=se7UB$LR8D6pNS8dI1oc6c|NcmW=(QD3VkU8KQej6XRZ5w$3j^m0{6 zIKAI+;ByIMl+b8Mj)Hj+d28ZpO8Y%HVJ|ozrnr1oi=Bd3m-e?PCh$nogvhhbvXM|Z zf+l?c07eWdh!G#oVr#4|yC;IZABdz92X|I`$>rZ3P!7^7LjVfy{WP?TDRkY<2lRHUaEZCZ_h@>>0S2eKbW2|&^&yxt^D<7Q~D3s1UA4H`(Wa^(#un?N`$_W z)<-B=8(~DsGq*?LKdH6(WEen*Uj#)Z;UbWEhY@z#xvKB0$v%aDBXrb5UjZhM|xrbg@C7Qo3uiEWf1&o;$W@Y0SSD9&#bz+ z_ar}J?U>RyR*@C%hLoDf7SV300(kA9we_e>&Y{s#aJxh0;|V(?B{yn(XFlNhXN~`^ zb{l=6m}_naJlg0i-sfAAY64n+Ae=uwPx=xs9BqDHURJVa;_;fE-F(N$BX4Bs^|ss< zlNO3B>sO-z?tP&RJzlBF%@G8BBHlzF2>$20K-qy`%Z|GTE*qd`utCy~7Od<=`!UPT z5e7G7{cHSxDG%kwEhT-3pXBnSmalGDXkg<-ZLovNvDrRYP5m>ttFr{Yr&uUp=oTF>-iv?k`uZ#X4hZ~FWg$u=>vM>z+L zGOw%3y0vR9!IZ7^7CSmRYBR58TsM(6>>>@QN&tG^#!XaUqN1Yhtige%GYs`Je~mkXRQZh3=@<4A z+fFhzf=n7fl%*oJ58%|Qa4e7x_yyw}17wlJ*O7!u=;-QVN|_w5Z29^;rY!QL<@*CP zW}g-<*^OqIhNR2ZX{a+&u*`-5eWm~cr4lEJgevthR8Zsygkq1x9-;ui_94EvFe+8K zwCPsdO@Mu0YkoTu-{=)seG)yw7Y@#R8|Q}j_7wSaIq~-XH4Iz3;;Km|FC@nF3EC=h z0g%P^6(NB~DCym%s@EbESre|pe-ai5^UAT?T~*L+rid-bMetY@YgX8)@0rfwm5U^7 zS&yRT`mViF?KTOVC=$NJ|0@zUQ;*Saf|uHz|Fzn`Um{Xxu4fsbDqMS2 z{AcO+iURHr!3tKJND-xYZ3qMcnE^tia%IXmkeJsVUN<4|uQi2a_%ut<*AaL2ve8Hl z;`c^OPDMq@FcG>EsIoC;g&Yx3+SH+l{r8+vahCw4n4KR9%DkCnAXlYROl>xG52>r2 za|20TOMSlmf;xvd38A$z`NbeQKLh>CZXJ=(RaOdu4B8dGQH$q%ffkTfKmYz{^;&z}kCFqqkP7Ijd--e0QX|W?OPlksINUk+>{XMjPibr7n)iJf}<@AE5YEL6Y znfo?)s`nQWIW=hkfO*q$sqext9eMeGr%^ebN9MRXd2a;$N$?n6_;93k4CtX5 zfqmB1XAIfBwzQ|TVX|;;mhK1eyz`yM_IJS8pD+XTEReV?j!8KJcsxM$hYu3>BU)Ml z`}VN{9!DHR6uY$i(o8(|O2I9?U(5AIpk!e2U_WM0j!gtA>C(^ukWg`&}lMEAI9)AAB*lZII z&sU`t(rS>Vl}J`rH5dI9x+knb@~$K~f0*6(^}d+PW7AceO@N`LZi^4Ez9k_??>B3q zh|C#@QHBM`KDg1{pk7iZC>fyZe01Pq8VJ1nb6rqtZOxNVGgEC1LxSR~?Mnt?0Iiy@ ze^BsgIxX9Le^tl$!sW^HAEooDe@9F!FJ^urPQ5S>Hjp5*rXnsJrTW8y))d4_h2erz zrD}%`6?jaaM1JC;cyv?7JT!q9F;RqwHArHOf|dl=%EJenr`)I<8^2v)aQv#s^?S3G zM=Z4j^kKxe1UG!;SMfiC&MSx-TpicW^Ij!xdqlN8aOJm?;_oke&VH!OAKm)g_}6Lq z^FMt%_Z|DH%k?|PqNSf+86E}%d$#Y+?JpOBzZ3P*-)N(ec(b6%oG}a8z(4H)NF&`E z=NoAu?Pf|AE$`jBx+TkxuIXP|U(#2Nr%zS``o?q6M2(+lLfnh9S%Q_BQ6%RvXvy;9LYE9*s7$ zwSM7G#@@f#AGhpdxZBdimvJ1_edM!pvX|mK*G-HEZVuYCR-F8SbNNkJ=hAF&wV;i; zcJO858TK1r62d+#UXaey&+59EYe3eqD%GDSaD?=IV}+)O)rrCuDRG$NU$E-{-|qbN2;)(B z5`O1Mcm-yXzzV!xH}dw+i7tBzyCN5z0mTJ=Ck{rHfk*ZwcZBh73}Hb%Kun6y4b~vh z``ru6w$@|&`=5hrqcOZ27*}xjE<15}qj1r6FZ4PY%N5)igDKAocrb5GpC$L9N}-+W z^aiIxm`WscnA{LR48R~)AoD~18XV`{xJ(KO2nTmp-umM-A2NG$goxAew@F8d(H1kb zsS8kB^wThN@ZWBPL_v&Gotrdis z2UKId(if`-e&|I9E}J7^uERVpBX;Q54G3+FpHVwhfYgeK-$JfHnV%U0kt24R_QPpa z^e>a2t4V$LI-WU|4KhP;DhVIG64}~X1#H;^n#7C&T z^*sKtw|9k75}E+Ii5C-G&$RQ*6)M~&Hx5myj-I{unzc4o??0)P#Y3LCPK;XM7ZY3W zM=p#8J}L`#e=OjPYcTzGZSMVd(^r%Iu52MnGQ_O;VWNOf(U?VVLPLQDDWc2&$1@f zpH+m-K&wE=YugdB1jfn%X(?#wgD(WIN@@|2CmeS_pd%OX`ty(M=^Z8S(@=22|g*%6uoqMx)Zd% z`0coj5f&+jJ|3?d|3Q48|0Zh97hw}o03zGL#Eh^&(SKz!#@eRU#deD_5`8-D z8RUaE9kByM^+8v`!YqR)>4h#zJeWE=`WN~|i*0l{9&t@hRK%+W8)Kbz^uM=)q$C=7 zDPUBT1>0m~?!n-E5Sk;Ni=)g~l67cP!C&YmwXj5-0L(}dVk8IaDRxKI^4|-`jpTmd zI(38vDjHHhK?uBWLn=B#0t1m@y+X449B1KkKy$>)oeVm_Xcaryh!Uel6g4jO>-Vp! z&}5bgLQVM3Y9En+M%y4wBw=Awi1%(2L3?kGfp%&5QZ4>i_)h%&T@v1EFbvS{O# z9CsXs3 zMgH1v&PqVbkXBpt;<)_?RoMt9%%{CbuMSj9WRBAEvwz{gUCL2l?8jpMhbswL4h2SQ zn3$L>4)MB5BFP{fu_(X`J--diN~!VjA6sp4Lp5>n<}2Igsh@RrOfS!$5gYXRv7WR^ z!n+t)YjbVob#k{yY=DKW1>l2(hBW4bp8XC!^m|$O3a}X3WO?R?@^^Q^feAw-Ai(0G zFx=uMR9+A?3QE6k-PbI0@T}vE4*4^*MNo4bo$NzM#{Rt=m@q-XnmA(jZ*`Ez{BMfP zZ=i*w2Ap+-{MTjp01QN5fqif86_vt8&-0h8${O)h^4~8R^v3pj0ZWRN(v#Ke_AD&_ zXj_B@7YBkl+4VS#Yk!|d0xrQ&zs7AXFYil|H4@0CojsAx86*JkOURmn^B9I8g z$h<%x8C`=TmUo@XHa-|R>R=}Hw2C@v?KwTk)QIAI7OrRKUDoG*tS5ff$d@*%v%ERO}eGb0SqG0*GveZ^_M$@BJ-*T*fV-ydi_XSs6| zVR2RYt%P3H-7lgyX*GwJ#scnT5&wWrB*Xt5G#$}nK?_FK9S0G(CBcn}0Cz~xxiM%6 zb_h#h7Y~liyiE_2%cb()A?c^jVl>ccfaik@4S8%3vq^NHq@-eiS+heeoZIMiS^sPWW$1THr zyiWwWe|VXP*9i}pK3dE;z6si7c83J)9Z9Yqwr z$aDM+u@;3cjf@5&y`b=b!#t29Zga+8-u=tl*ofa+hF!s(`{A^q zAoUlV5k^0ucr%*z`p7vFbS|XHEO_5JrI;!jBYH+MmVvbIA{VwTx`!N|TpPz&@_;)z zTO2gWjc0WJjD)}@A>F!aw~$w|gOxNdwbAq<>f!SOdtb!2v-p^c9ttQJ-CB3wmvZ#N z2Y|~kDEWlg1Gkrk!O8*juKvs=k6UjC^cu63@#?$E0a2cFTQ?AR-y*l+lK%s-71~dx z8SxV3!3CeTqK}g)0#O&nki>5fSsuAF9DM(~3Jp>ncB%EQd7v{67+FIW}$Q}FUjrl@kcqJG`q|WftJcQO-q)=J&rld$Hr=U)3 zT+8AA6y*_l%_zieU_}b|x5TgqIjonOvYwjG{y-A*xodf^=ta6D(XgMNyNjUWC(>P{ zY<~_8@2Z&KMea^*2C0Dd9tQM82L^Jf;WaGd`{H6GJ;C>lxOdNZxNJXP&(_B32=#ZD z#1|LmZw1V$A_pgK zfmj1Xm?Psdwid7D{ProW4=W0X zhh>rXPX{uat^*QtWCofqL%9o#=5WHTNwQbr{nu5WDTIzUM1{Ni95(~vo7**O3x;@P zY9uHpV1MCeqd7<3iF-L?7ydpv;qr#{gt1~*)n3#*Nqi4bYDSQMsM-JD-Znynz9X+{ zR%B^ZO!qc)YRDbPrGa=o%Fl22eYNS{4Y``#3Gclv3TShWEcSzb+ic zA?CQSMBB_}Kx5YrhD|M$fn;fqn-m$|Uh7m}{Vwzij? z2G=7uAN+pkEpW??*{?RoxmW5SU0J=8sP&Unr33i;mO(=6L$qTORn@qf_@Xp>A5U?wLS@W9eCROEUf0I)D#Kq*aan6fIzimLyl%bKVniMn@3^j*Jb5aMkUdO+dt z^WWJzx9tfmk_cA>HPVTPe~@d8L4Pxfu`-r$Fd-x8U@N_jp0zF|8PS6vSd?cati@DbvT*639aCI}UiBy3Fxos4NQQSaXy`Bqx8R{^Ub z$SvW>o&f448Vh8KIPA961@jyIfwqcIQIV%8E3my^X=91|&QHlZu8NDeFl^mvw|%Ew zL~YZksPI-xiv?;UBfpCZ@0oJ9`_v2I*f~v2a8QtU)Moeo_o8{MiGwD9vjae#g`a%G zR3zl{u!R^pcL9AFaEHOknKdv*5fMr!dQ9nTLk!| zHyF!FdjYE{f`S*Y(ca$vAAJYC4LnWa=BiHldPy;i+}WBAQI86l-MK*gtYP`I^qW3L zm>=o@0BzyK%9IRjB|hIT9~Qs=TU#y16qYIfUg=7rvE&D~jfIijz`3ERLabyiznKN|P}_rPX` z)x`j+6=oZE^uUcHrTvJvfq}uo-OS9)9f#jBjYF?8d^;Zl9|42$yvfwhnu82GGbKg! z>-~7w?k{&H)x(vX@|QENTVMP*9U8ppspQz%_X3_j8Ox`BHA^p?emm{)8BHXeIEwDv zzwdD22xiuE9l%Y1p?`-EAb0lnz^|G#Fxpc<+~2}Ax^adAb+$?UNguDfKU9;+E9|fbj+ZY8DzUIX6*LC_`tw#<;fwQ4BTOCnGL?97^Zm zX;7wFxVJRIT!S)!FM0x$dG0Wm=waqCi?d|kqUcjbjEI0~sbfFAK^>8S4)UgVMmr6y z?upvnS%MtEvBEqd-8^aHrc+c4~mOCJ1_=ktXRy%UkMVeeL9#g1gM?&_DdQ>_w zuA@-=tSpVP!#f`Bm6C#os`~o%>yK(`K9OVOHIiU|3q$&JGQ$e{F=p^vET3`YwV)3V z3lrWLx_aE6wOhE)^7s2Kwf=6O=2DxB6_DhH#`I_l<@LX_TzARYIk#2mug`0=BRIBD z4Qa@OL|B6ULrDE(jZb;CCFMc;dS0d-6O_>ANjC?~h}SV?siwB;T^R;V?LuIJfK4YS32j+t1U<5F^ zBx>Z``wt$BeW*1~`164E$SZ?O^Y#yQ+_`F%E0Z%zn$3&_)#}&=eOJ6-}v%trHTSAT~b}@^k((2x|0(*xxMg6Oz^1&4c=xYy6 z4~qV}>NISUvL4o~gMYqyx?|rq4O?_5;5jDTz;jFir_l}Rb}|C#QE<9d1bZ$n))TQE z?_J0DDcya>ErX6t+pb>m#TPFVe^%j7z@^@ihmJvU`5WaZ6lJDEDs(QosgEB|p-z8` z<2VCsp$=M~3VXJ+j0%|voEqHoCDe}oQI5{;%9xh?Yg?e1tNB&^%^oX`XX(6vv3 zk$$wNRr;VmtKO?t&y?%*Dej(MX?n+UMIt&U-|o8dogN~x58P|<5zKf>Nu5xLAg~;Z zv|e?RzvYRH&bUNRbz}UAj~WM!c!r*DmxI24qgCn{<_7SM5bcVB`uJE^2Zs&WSw^0ot5 z$Zo-1T?PusU6z`(uJGn{XIYrur_Q+kCG_1Q*YV=9+fjUoXnJIdD(N43aFG1nM*Llz z8$=FoF>X8!_J_tXHcg3AMq-P5Qh6$rwIpP;#IC2cxV_BG&ekmLbG=0bDw1Q|6iQOS zqa+$>d)Q6Pfuo$lY!Lg2`#;j9i$~kEP5w4Twpe+}o6tsG7~?))(9=0^=b6pTPB{w%8RoA`rZTsw4Xmp&8RNAd=;$c32+VqkP zeGkQE8yq@xlQ1NgM>q%DnXb&x@Cyj^#&5ut;sdd&Z!F<>oI_@RL+#q@bg$x{N++H^ zKl>o+P_Bh;Xw?q!h%~qAWX7|d5PLp^gHL&Fmlml<@o4GiIjKQjx z%5BGmj!Tjtz`tS51ggYtxGlYV`<73AHf=6Cug%D~BSN_Z);49{0VIV<|p& z9kWi{ft^l;>}hSsc;)n}D*4JCpVm_)PC42kN)Q-7umaZp6?(OT(_w#XfP`dswV zb$56FgDV3EN3|w*X}#E4E>h|MO7&#zm1^b@ft~&HMeTCj_GSW-OqZY zQBOnT))i39pAnP_5SjMA{rms>z*C#Z2g>Y??unH%xAi&qpi`MK&F9a~rjX-$+cvZ#54G^*#npX| zvA9uAWhN&d00vfQEf{{s%9D$0XZRfv^^--mw_mH{cV^smaMENP9NWd7*m}){d1pA6 z@C4xaX#4w8Y1oK$-H1>#sqjz|Q7=sXc=q_UHc6%xrHrgBjQ);#ZU65Q3Odcqpt|_~Uh25a7|XGHl85|7FV5#ii?)0{5D+&DJZwop{JVZmCFVF)eL9xduj9g3FehDo_qjLUx zSxw4#@6qcaZ9?OS)QrQ@Ua@-Zq;5*_&v-tWMds6VzTbTA z=@bNuU)0LUdF>5_!cQP_B2rQYKz`rIjK@7f*Os8LaP!x6^2QjeDpqeW(9wAao@fH7 zrVi%UcvbQv(w<$s^wV%#YToGSJ6+CCQxsyZp@}DfU4g#XN@8YaA+1Y9F z9$Pwx@a}n8Xt^g;sIU6L;xGd=V|sqRHj;P)WC>oixcwWiw1u=LTYiq21z9#~Hiqxo zez2zRJL;ikeG^{8erH5HM?h#KL+x`e#q6hj$dzw%$>^fd3=UV-Uyd{3@#wT)bmXjg_v;5R`O-)V9vcuSS z9{{p@LX+WKA1)tvmc=dUmczMohS2wuJBOi07H;V0&!1{scHSEg+Q@G|_;kVTUPn`; zrJJ|8Dy2T0H9lS0Eg411fnI7wnQFSxv+Gzr(ti0>nddUpXR28PovKl)zH`17Zw$Li(l6_GD?R7P4l;3p7O0OjUgKJw?npa@!K`a z)`Yh_ve4a%YT$-qsiw?H2f2{Ktp2QzA5XKgv5_Mzf)81#J%nAtf`aW(bM6C!y*Uw! zYT>@%gz_pJu&;xl})BDRDv=5Kf ze7b&9L9d5ftT;0_w+lTlr0i3VY#Dol<}H0~?G56@i%9Zr4i=WnE5QlB*NpvBUy2@$ zJhjLlIWKA5Fuydn^u27LP=2kZ;Y)S9iyv8Mo{NObZhNwQBDT{+EUolt=qDO1E};!) zFt8y4ojh}(U^OBE`@OTgqoAa8s-vSX7b|M$2R6m=uAZJu(3=7Di{vpG8hSoI|5)Vk z(}e*^Cf3>adz+e0Y{mc&1Bu-TOxf+@F{~$jS}zR^3I3*%Iq9fpVv+@kgFPmDKJ1J; zj(SJJ^gaE$b$8<9Ukl1nOpIb|JXcYqsq^Nq9@jQA%K^Ubh}-CaxIW_1i2shgvOJz= z+$mQTx>vmcAcp-!4VDB|58I#O|JH8CG&v`AH)OQ!w!e%it1=ujz+@$n49LgmW zd+U@20@3)#=nXEBcVc4v)tGJt2g`oh(_b*m%Y!11BUV_(OE#JFe8sa;&mS5Ob>=<3 zJuT$fV($(PVyoQR;9CB9zR|eW@b>N7C#$>)U}}?% zsd50(kJ}|&d<S^*Kd^4xsMpEP>{~@mMXCz|puqJJE0uM?j>G@j+7GDs^|#4r z8R%u-R=>Jt)J5oST$+Vzg7rODDg9>sQnlPA1qa6;4&e4qmb<3L9Zv%?p9<2~5$6@s z*djR@94-*k)76mpFbU@JtIO{_EyKFoGPKg~2>gsN)$E`R4H{mvOMbkCbC;UNv9j!} zVsqeqS4ppi0?-Osz}G(qVH_eVj(V?x8~4k)ckkW_h>TAhJ9b+$R_*Di{Njlv;k$QV z7mwC;+ptTHym`wL`*>dQkw<=cEgKhIjfS zT;d2H0_bBB5OkD{vFj6Lm}_4)4qi%Mu3i#hXK;W@i-Yx?Cm)wcy|zj19vknC`dHui@LwJRINhZ!?}pKH z1%R<`*?UYqvNH3Ct!D7GwH#7u&%S$OVEi0xu}%Cf8w*7Z-hVrK?aHC(bCDebeCom? zB1JMNsOp01*T}kXwaWj{{8Rh)*I%?$@!2`XpDwN5-uCsKZk?UyUao+H-Q2E!EW1Bu z4`!8#A4q}{=78S z!kwi&wJk{B^6IAMGryXP>~8n{yu_!D091h{y}d92#nVOjHVR2n3&&L*fgKz@azq-mRACjPh?bZg#I8EJy!*oG#__+XL_JbvK( z2B;xC%Oq*3sR)o{p10rU6`UZF$U`Uku_quMZES5F&@KR<*TUTw+uWOl(k9SF-_GQ_ zaPXo$Px*a({H5rR`xVkA%)T{aw@P03c)6;Ap}spMefC&z|7_;Rl9dxW(I(b+uiVBF zhS_sBa%)$-;kfypdz141y36fUs=SZO)WX3GcrN%r*K!m{4wwZ3%{CQ^{uyTSZSVIS z%t5BB8aW3AfXI#=2cck&BbSjo{maX_)CBJ8sUTn;qX%vhUD&$z_8EP}m19U|S|%fE z4SiAG3bH3YW$_x?!{GbC)E)n?5Bzo)^t~#3r@Npz-v^ibV=yXUr28gBL-G51`x?*F zEnBwmsY7iW$u~VvZ307}Zm6rDy~KQ=_{;MjydlUHoRHGMz3%HaeS|iqlSnwxf>1h# zgeYmQ`*)&GvaLV@zggn$%f7vwGqF-zH^}g2V**<}hp=*~>y+FG4 z2L8f(kq5nad4XP@B0xuflVs;}YXCD4fPjQ)g6E~Qi`AsGQ>zDn&S(c07rNx`qnPMZ zqh-i`?(A84^`P^Z2C+rbI*_QBiI$uoA<#>vLb{xpnrfU795$A*VD$7Z%VK9hbE51K z*NW-T^=|6|N)PKq-*kN!-6%mbJPm)+`-+zUc4zoRA&$P?_;_JYy*Gnb}BP{%w1z#}czb&QX@G!Sby z7~r6_mDkss>etBOU)IL1Qg?(M{%$V6KOeB)&d$yeyx4tN_e=~fbhJ`Nj@_uN5~d7c zPS{V#U>p&qr=S4#x@2qn_<#I@*Cl=Zcg&Bb0{VdYRA5-}v&8+tp!e_p#mE1W4Ne>P zC2fMqK5A$8YE%~T&4BmWpGdJp{sANI<&Ei?oP$S5lGhuO^3x62T_Za-(OZE$N1eh{) zhcBbL+6>m=?bm4OLzng`@PuJ5yn0*cNYvfC>0~*h<@q5|WGdivAQ>p2lhNFPhsvi* zdiJOZ-o0C&>^kAf;G5N_f5_F)3EO?AIy|L2_t!2SGjna?$3`iY*^c_fn(S#(^N?*p z*jHin%lW*%2viueqOIBeovVKuAVJiEyJ;7aqJ6M%d(qG^1gyiSVPn!c70=@-BeVwe2dCs&-K|mxzWGt7�k=C2{FEp?UFq@ME` z;S9b#wvmw%fp&QcFEg#eHPYD{nF4Ol?R^czPOtCnQHyl@|K%j~Fk2`-ZnMBi6_u;7 z-OU2NT#ZtkMD@2lC)3gk*E<}ms{86y7walDZK(H7O8pJwfo@>x2z3KINFOTK- z7M0L34|pq{LG-+jsbNh_t4zS-PvXq%f_&B;O~sAF=L+ODx@d-6|7!qQog1*^S}Qk@ z7emrAfbNDSAdciy_pg2ZiLb8U{DKMp&6R20Rz&R3t+d>M+HjeUWT`N8Yd?2k%TNmk z9eu^i5t+vvDp(a0fkI!ESK$nXq1zj18J@U~HP3j|Gc>zaIBBltx_+I$9y;v5Z@>h( zL*eF#pbGQm0vUF^z;0BoymeSZ#a`b}gO8D}@~-8heH1m;#wFgu?PMi8^!|xm0`HD? zal?Kd%t)E&P}}+r`!E;aH7pd3wt~;5ISsK04MqJ&B}JB=B!DHhb#!E8GAICY)hXDa_n*gAc^OfT zsUj5@78ZU3BhH@y-5Njt^#4V>v1nAQ#c*4B-sosXkoc>y2&K#E%aaGk&g4X4jg&ih zASFLe;P?dJm5XSB(u9V%6L7;`I0_u@!ljX69KR3H7o|ZKI$oC3v$MargmAF#^6jwz zAK5hPvg?wY5{`PGizB0-_Z-gk*Tq@a_)dGvmE%Wr_4MwL;tqym@XH*7t1#MnrF}(~zhsrLJBrcsKk7i^m)TV*s_#W!58;BLCw% zw=|E=@n{41CKVOx&Kpcx>gto)?;&Z-gu;Zg7I*9y6?To$hZdzMp2j-1S)_#ScXO`< zPKN48_Wn zS)bN0K0YpjfxQ{ukq@*0W(ojl-GTf}&(t&xstWcK+v@AR%zS5zBBay%@K^;YL#BLTJbv^VUe9Oc=QO}TTO&8bg9Ov${ zXzJ*4F|yB#c~orh`t@r9vi}?o*y`VQ8!-@33?GmOCRq^m7o@XyJdy&eO4gH{RV}O? zEv1&$K2RF6sdv z>uMa%i784w85$#dvD)0J=ZQM@^14JGOi>Y^4&Z?t1hmSN@!wbl8)&)v!w0_^T3S9N zg(?rnu3fv7rV4EJmY;4+*s^7N*s;_Q8nftnp*>Riwr4Zn$|*g0y?5+PR#d&o4m*uw zXHu$D4aCI6mM|V^4x9O=Rv0*TICDSSF%1;tJ`CiXmTVCjwD5Ie?Tlm40|+B|*_>0g z<~Y$&CH6AEyqB=h&g)zd5c~ZM=SG@|y^LyQPv{t(icoWZ9y^l}(P?tQC8gRRCnrbE zv~vJcJ8yH#89?0gE+Z`=bK=YuTT1_n4sm-LN~KPF2S2{?WmpXms2xoZd8l$3e;+dp zL5e+WKlQY1Z_`+TkeFZKX=xP9ksQ6BJ14)#T%5T-Kh=KZ5|(wN?m%cBCIkr>Vu zaXBLtvS>~{Qq~O>)w*_jE!CW0K+cwLh~L-n_?EG zUl?G{Q*nO=;uhOM6}9Jpdpn#;`yYcfx~FpW1DC z;g}Y4m5OQ7KPBvG7DU=sk&2sPZlZ?(?Tm~OA0q*ecO<{p(o#+}1_$eJgRsH=x=qZv$h0p96>wMwhlY0DWHUeGDUa=XNV}bRHz;&BK#WvzS(iLb;D-vDEKOp<0+&nFv1f;LZ> z8t9*d{sJswwmKh6)ezWV9YG+w!?!rwaN)MhanbtiEm7NAHf=YeU`mZif1=YbY+O za6h_;?(UE%PZH7}So$OAu?)X1Rl9b7i{@ZWvoJkJJJQJ-qQ!LVs^^RrN1eK@v1AXa z{726!ZX@T%Ne62qmH*iKwuBrQs)n5g5nHqI^?h0@-H_@E12 z%sz*=f^c{`syh+;8Nox2Wgd1~f*a06J-U*ox3!`;f*;}GsMn4Dkk4X!WP@}(lG4^a zX_-{m;Jw$dX;@*KTAk-}OY9?vYP`xq$WbRN+v8t{qfQ_x>5;}BhJ&DbuqEDLVhg{z zVxkt-Bm>(#N^C$z;Mzs(9CO?(D*2jR%d8Izw1lY3F6=gbI$>?x(Z|L)AqC{r1kp7s zcE@soO6dHj9gOak{V2GO1ay4I>e(a9=yn2Wv4*CfsLUhWNJ+_~+N4rGAJ$y?LB zq>*-^6nltCxZiLul0L6p7w)I}U*>MR@RDn{*+9tgn6c1dS0D*DfuvN%6~Ic_}{oSlosrP$HvQvia4kw`f7C?-gs&y?ps{ zz_S{3Wgr_)uc$c5=$pm0Vvv!MT;E+3r}J=fHsN`@-r|IoQghSg$d2pAk3&52xSVd& zwfuS-R@2UDnP{f)X9EZ>xFqg4{QLrzVghzih5X~PUlN*DGT*Dr&z0qGH6MWEyv=>J zt-u9|DB8quW2JZaw10gQd1E=lAE(ba-Z`Hh@_UPt z=U&rD2*I8`8VX?h4i%&fm*~eefT5K42gV`1ytJ?` zP5`_>YN+^2UL%r~b*uQdhi`bcTr8FUo-Gm9xM}9H?7FX?rFosXy!VU>g51C^dYh)T zb?nn8VF3X(7`UJ~4kLopsY$?0*5v(2aJxjJhuXf*k7^5i$e4fs_vM7A0~Ech%{iuD zKkQZB7vm}22BIcG)i~ifW9QiG2|nYmMu)GTpI!B5SZAg_EtRvTVV9}UpLUxa0Y|;i z{r)Tr=&?+E>+$8Ccu%~XwA}eBrlxTOcR*I=_TJez1`tXpI~Li-Z$B1C&pL+pY)SDC zJ=N)2cA&c=fGtyQVYh6A&<|;;VWCMnHXHi9$N|BC!QVI29;c>q7vBIBaKT9$$iwcB z`f?jo80xiMT?-?lqV{2m4C8NP67KFlby_Y#L2(TsET`DDq{~CPE%N*1^zi9OR{7<3&YeuO6D>)v5Dz;ai@$=T+*P3J-!?1pf_tI?U*5qX6Qd##9n%?qGxqa*EgGwa zqTuo5e-wpPP$`4jgzT^PEVLtUtQ#H+vBx$m^vm6{X~Kdm;-CB5(4o6Yc=S~M5feZH z0TC|FhPd4g^;`0 z2Vo)3)JF*8uvs#~Om0BbHWTwEHHXU`l@{j~CRAyygr;APp0TM)J$!hkQIdz1H5EqW zLdfh7`ZIJ86(?Fyc%87$`YAgm6d1lm4y$J6<$?P;UzX2?(y_2`HvOe;&(C|3<~!6h ze(sL_PAUTg5^=U~In)%tyfECGApTP8fSdo)(vpj@(%izcH$1Vq%3!J@T`LB221PaS z4a>L8H+?W#xoP7wRCjflHvu&UcBn3D>pJy=|L?2a{>9Y`52^sFR)Dn(WzRU37y}0$MuKT`3)erVq?ziDWrAu9*GWsy-mxTOUW_4_EQf#3*C-N4E zU?%eiLxLeaF}ymexNfJlM(Y}}d^&JP`|dO&%d@*+6Yx6(<81z)+Ri;H%5n?igK1Hk z9Ws-n0;Z!@qEQGbM35keTr{Cj%M0D)B7uTRhzy6Lff`anp%p3^8p1(w&@?V$pb-!X zg1{0GtrP?qR2V{F0?+OKL1`FPvuT7*Br+kBxG4L$d|k2>}`$fPyMpU>`>2-M$?a`o0;F(cQ>B2r}#_s zB37tPJ@#0yQNNWGJS+)oA{TeSJ0DC|C$M!_6iuRdi0aJD~^};S=~K5 zc0;*3C)InO#$)|ATX%e0@^h6+U#IeC!H$0^Jo}>~r{dtMe^ayIk(u2atLBfp2?yx2aADc@J`v=s{mCmdTH#jsAE;{;#i{RIc&*HhJa=^}KTfSkBc_HGPCm!()<}A7@@BRy)da zeEfiIj=3A|;dQ8B5QP>U)tz9`hLuj;-HLF*`W#n>xk+S?4>t�N#aLn4GsLpH2Z} z**Y%K)|9q5lEp$gd(KhTmr_=uEv!o>SCRJJ% z&4k-|3d8v17p<%y@81~xkdM8~FlW|KY;h`9{PiXe#2KG+nz#CZ}28?LLM3M-crWTndl*ovF$&DS9Z+*gR@HLreHS~iMN0Ff)jG|-M zbAEr9+=KW_|6nmn-&a?t&DNi&Tbbx<7V0X`t`P z7qs@ZQr#c8U?<*GwQ%v*?}STW5m>bS>{h@o8czGjzls-y5FttL-jv!Pl4q;;8|R1w zd`Cip58C0={Y{-2xw$rxT3QdJ;T7}jv}w-d;qo#l4C0#~9a8G1G_1GTD-w9qs9s-E zp3XSE9O&tiai}x0#r86N-sPYL=I*k{PUqbcJ3^7X7$@|2#8DZYTRJxn5mT^~cHNbZ zHuQ+xaM}OsAz>c2XRmQ6FQ1j?uJ%UrGUEt&2DV{j+{cmS2x6`=FTc_Gpu-~Hr2}UT zDjyY08o@*a>aN)w5z)Z5KBv03Q)-x2MBX{4F?XYouNE_1T0>vF{Q+hlu~N5#_T%y% zQ$@&Rb~b->))^ey77dEQ)S)9SwEg|AH*j8FA}o z$`C4Lg_Fl`tY7KvjeFj-4fWQvDetI1=7>7M62YWr3~81gqtzP0ys@AULKT4K~Rei-ChVjAx)t14+pFI8zO$%K7DD)aEGsf_gZ_-+q9ckB+vD-r$e6Y+LPw( zabuf4_a3fj+F5=bp@drb`JuzXQC(j$)4XCq&1{FrH?;IH86u)#yXgjg3#5Sha>3@4 z70n}}_Z5losdbbnqT~^rQxcNr??lzM`-3#bpKyz10( zRg$kUb>`}69$%z!r4NI32?{NP&g)r;)x%o1OByldBLqA004Qgkc%>(2zup~Zgm1Kk zgHa+Rp-gT_V2d$H)Awo2)ax*sOM-&3#59K?_1qtMcYD&T6&ZrEe7AZr+QduwA9Qt7 z(C5bjia@d)cJ+(_@$yG4>(~(WoaxVKGdnG|>0ue`Mn0FHq8j+wOjtKVAu=JFi*q$>yoC zy$CGvuJMO$?d?H`(;PNA6S&Vf zb0W*dX%vTo>BK7ZhcXlBV1K%)%4W};bqCm^Aj99;^aSUhnY){KXRW1TfOStFWyeTx zWQc}D7o8br$6BqQ31^9CEG?_G#%x1@@(ETa_Vq<%tt?nBGg?Gwq)Y+qNd$_#?)czH zM>QOj>E>I{lk2!qeA3ojScsYAxzVd=d*_Zu`&+^{^*kAj`C&?4YcbNa$K|TRl54Vwj?`LiV(5SN;dkNQakAX-n4@?K-r=2{Hy-0B3Rg z%M3d=)+aqZeSx~>;>80ZSfvG#JmS}nt~8ld-qF#aPMf|jd>&ZN$tYdss>56g4qlDs zcqo}r|Duc7@ZE@UezJhFeg7^Ij(Mwh>pF>Y7z2?k@i7$Ajf|)x@ijef}K3)t_Hl$l44oafHVc~VnLFJnm5n{1DG{B>t%=iV;PyX`_# z_I5c;TFqX(jO6Uvo%>b>ipnV#?10hnGP+F3cF~jLG9|*vy%>e6?C5PwvXPw$2?=$B_d5siR9m4=qc~gQ;g0xt zeWQJspMXjsSI^vT0r(+hS1YY%&ra89mN0=vc5brSJDz&yJA+esZ;sgu$gQk*f`sA< zBdUNV!c!l0c}HcB$3x;?V<LQ(oB86KGQQ!4E$A99GuDL^j2wBD&8Afo4xW?GdZTtD&kg)p4pTiD#}T;|ckg zXQUTTA)Wvxm6euO(Nbys+4}%uv4i<6hXtVe`}^0J9(7dpP?}rR5cAztqn#HF6w!;& zWiz8u6$yQ>$MfYr9zyd31h1Y^+O1rH>Gk?K6LaZ)ah&$u z1$b-pbudgP3Jc8!drL$+D+F}_K!@DWTjX)+q(+9mJE+02-p+Fb;?V)w%cH#8uP>{p zxFm%UdgSqsnf literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Model/ANN_Based.ipynb b/Vehicle Live Risk Prediction/Model/ANN_Based.ipynb new file mode 100644 index 000000000..07249431c --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/ANN_Based.ipynb @@ -0,0 +1,158 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "id": "c26d8b33-9032-4972-91cb-70eedea7591d", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "df = pd.read_csv(\"Downloads/Vehicle Risk Prediction Dataset.csv\")\n", + "\n", + "\n", + "\n", + "# Encode categorical features using LabelEncoder\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "#le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "le_light= LabelEncoder()\n", + "#le_road_type=LabelEncoder()\n", + "#le_landscape=LabelEncoder()\n", + "\n", + "df['visibility_n'] = le_visibility.fit_transform(df['Visibility'])\n", + "df['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(df['Road_Surface_Conditions'])\n", + "df['weather_n'] = le_weather.fit_transform(df['Weather'])\n", + "df['traffic_density_n'] = le_traffic_density.fit_transform(df['Traffic_Density'])\n", + "df['road_hazards_n'] = le_road_hazards.fit_transform(df['Road_Hazards'])\n", + "#df['time_of_day_n'] = le_time_of_day.fit_transform(df['Time_of_Day'])\n", + "df['fatigue_level_n'] = le_fatigue_level.fit_transform(df['Fatigue_Level'])\n", + "df['medical_condition_n'] = le_medical_condition.fit_transform(df['Medical_Condition'])\n", + "df['speeding_n'] = le_speeding.fit_transform(df['Speeding'])\n", + "df['light_condition']=le_light.fit_transform(df['Light_Conditions'])\n", + "#df['roadtype'] = le_road_type.fit_transform(df['Road_Type'])\n", + "#df['landscape_n']=le_landscape.fit_transform(df['Landscape'])\n", + "\n", + "df = df.drop(['Light_Conditions', 'Road_Type', 'Landscape', 'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding','Driver_Age','Last_Service_Months_Ago'], axis='columns')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a355b768-dc55-4b75-a35a-9b7125797e72", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-01-16 00:23:27.443768: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/2\n", + "1920/1920 [==============================] - 7s 3ms/step - loss: 0.0174 - accuracy: 0.9957 - val_loss: 0.0157 - val_accuracy: 0.9983\n", + "Epoch 2/2\n", + "1920/1920 [==============================] - 6s 3ms/step - loss: 4.1210e-04 - accuracy: 0.9999 - val_loss: 0.0180 - val_accuracy: 0.9983\n", + "94/94 [==============================] - 0s 2ms/step\n", + "Accuracy: 0.9996666666666667\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ], + "source": [ + "X= df.drop('Risk_Score', axis=1)\n", + "y = df['Risk_Score'].apply(lambda x: 1 if x > 50 else 0)\n", + "\n", + "# Split the data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Standardize features (important for neural networks)\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)\n", + "\n", + "# Create an Artificial Neural Network model with dropout layers\n", + "model = keras.Sequential([\n", + " layers.Dense(64, activation='relu', input_dim=X_train.shape[1]),\n", + " layers.Dropout(0.2), # Add dropout layer\n", + " layers.Dense(32, activation='relu'),\n", + " layers.Dropout(0.2), # Add dropout layer\n", + " layers.Dense(1, activation='sigmoid') # For binary classification, sigmoid activation\n", + "])\n", + "\n", + "# Compile the model\n", + "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n", + "\n", + "# Train the model\n", + "model.fit(X_train_scaled, y_train, epochs=2, batch_size=5, validation_split=0.2)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred_proba = model.predict(X_test_scaled)\n", + "y_pred = (y_pred_proba > 0.5).astype(int)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"\\nClassification Report:\\n\", class_report)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d165f77a-a6c5-41a1-8fb7-bb95b6e481a1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Vehicle Live Risk Prediction/Model/Dtree1_with_EDA.ipynb b/Vehicle Live Risk Prediction/Model/Dtree1_with_EDA.ipynb new file mode 100644 index 000000000..400d9e8ca --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/Dtree1_with_EDA.ipynb @@ -0,0 +1,1493 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "2ead3eda-b71a-4bb1-b910-2aa1bed866cf", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "708ab2d5-5a91-4586-8657-d5a86f43e911", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"Downloads/Vehicle Risk Prediction Dataset.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fe1867c4-5f0a-4993-ad90-e6a938697239", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

\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", + " \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", + " \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", + " \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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Driver_AgeDriver_ExperienceDriver_Awake_TimeVehicle_Speed_RatioLast_Service_Months_AgoCargo_LoadVisibilityLight_ConditionsRoad_Surface_ConditionsWeatherRoad_TypeLandscapeTraffic_DensityRoad_HazardsTime_of_DayTemperatureFatigue_LevelMedical_ConditionSpeedingRisk_Score
01915.51.02188GoodDayDryClearRuralForestLowNoneMorning22LowNoneNo10.4
11915.51.02188GoodDayDryClearRuralForestLowNoneMorning22LowNoneNo10.4
21915.51.02188GoodDayDryClearRuralForestLowNoneMorning22LowNoneNo10.4
33235.91.096167GoodDayDryClearUrbanUrbanLowNoneAfternoon25LowNoneNo14.7
43235.91.096167GoodDayDryClearUrbanUrbanLowNoneAfternoon25LowNoneNo14.7
\n", + "
" + ], + "text/plain": [ + " Driver_Age Driver_Experience Driver_Awake_Time Vehicle_Speed_Ratio \\\n", + "0 19 1 5.5 1.02 \n", + "1 19 1 5.5 1.02 \n", + "2 19 1 5.5 1.02 \n", + "3 32 3 5.9 1.09 \n", + "4 32 3 5.9 1.09 \n", + "\n", + " Last_Service_Months_Ago Cargo_Load Visibility Light_Conditions \\\n", + "0 1 88 Good Day \n", + "1 1 88 Good Day \n", + "2 1 88 Good Day \n", + "3 6 167 Good Day \n", + "4 6 167 Good Day \n", + "\n", + " Road_Surface_Conditions Weather Road_Type Landscape Traffic_Density \\\n", + "0 Dry Clear Rural Forest Low \n", + "1 Dry Clear Rural Forest Low \n", + "2 Dry Clear Rural Forest Low \n", + "3 Dry Clear Urban Urban Low \n", + "4 Dry Clear Urban Urban Low \n", + "\n", + " Road_Hazards Time_of_Day Temperature Fatigue_Level Medical_Condition \\\n", + "0 None Morning 22 Low None \n", + "1 None Morning 22 Low None \n", + "2 None Morning 22 Low None \n", + "3 None Afternoon 25 Low None \n", + "4 None Afternoon 25 Low None \n", + "\n", + " Speeding Risk_Score \n", + "0 No 10.4 \n", + "1 No 10.4 \n", + "2 No 10.4 \n", + "3 No 14.7 \n", + "4 No 14.7 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "421f0edd-be4f-4ee2-989d-78513c26c47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Driver_Age 0\n", + "Driver_Experience 0\n", + "Driver_Awake_Time 0\n", + "Vehicle_Speed_Ratio 0\n", + "Last_Service_Months_Ago 0\n", + "Cargo_Load 0\n", + "Visibility 0\n", + "Light_Conditions 0\n", + "Road_Surface_Conditions 0\n", + "Weather 0\n", + "Road_Type 1\n", + "Landscape 0\n", + "Traffic_Density 0\n", + "Road_Hazards 0\n", + "Time_of_Day 0\n", + "Temperature 0\n", + "Fatigue_Level 0\n", + "Medical_Condition 0\n", + "Speeding 0\n", + "Risk_Score 0\n", + "dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bc013ad0-176f-4108-820a-1a123cc8cd29", + "metadata": {}, + "outputs": [], + "source": [ + "inputs = df.drop('Risk_Score',axis='columns')\n", + "target=df['Risk_Score']" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3ddaa764-7a3f-4b52-afcf-9128b3eb093f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Driver_AgeDriver_ExperienceDriver_Awake_TimeVehicle_Speed_RatioLast_Service_Months_AgoCargo_LoadVisibilityLight_ConditionsRoad_Surface_ConditionsWeather...Speedingvisibility_nroad_surface_conditions_nweather_ntraffic_density_nroad_hazards_ntime_of_day_nfatigue_level_nmedical_condition_nspeeding_n
01915.51.02188GoodDayDryClear...No001133150
11915.51.02188GoodDayDryClear...No001133150
21915.51.02188GoodDayDryClear...No001133150
33235.91.096167GoodDayDryClear...No001130150
43235.91.096167GoodDayDryClear...No001130150
..................................................................
1499557339.11.7014874ModerateDawnWetFoggy...Yes142251221
1499642138.51.419567PoorTwilightWetRainy...Yes245052031
14997633411.31.80161107ModerateDayWetRainy...No145230240
14998714711.92.04181184PoorTwilightSlipperyBlizzard...Yes230004031
14999633910.21.8216968PoorTwilightSlipperyBlizzard...Yes230044031
\n", + "

15000 rows × 28 columns

\n", + "
" + ], + "text/plain": [ + " Driver_Age Driver_Experience Driver_Awake_Time Vehicle_Speed_Ratio \\\n", + "0 19 1 5.5 1.02 \n", + "1 19 1 5.5 1.02 \n", + "2 19 1 5.5 1.02 \n", + "3 32 3 5.9 1.09 \n", + "4 32 3 5.9 1.09 \n", + "... ... ... ... ... \n", + "14995 57 33 9.1 1.70 \n", + "14996 42 13 8.5 1.41 \n", + "14997 63 34 11.3 1.80 \n", + "14998 71 47 11.9 2.04 \n", + "14999 63 39 10.2 1.82 \n", + "\n", + " Last_Service_Months_Ago Cargo_Load Visibility Light_Conditions \\\n", + "0 1 88 Good Day \n", + "1 1 88 Good Day \n", + "2 1 88 Good Day \n", + "3 6 167 Good Day \n", + "4 6 167 Good Day \n", + "... ... ... ... ... \n", + "14995 14 874 Moderate Dawn \n", + "14996 9 567 Poor Twilight \n", + "14997 16 1107 Moderate Day \n", + "14998 18 1184 Poor Twilight \n", + "14999 16 968 Poor Twilight \n", + "\n", + " Road_Surface_Conditions Weather ... Speeding visibility_n \\\n", + "0 Dry Clear ... No 0 \n", + "1 Dry Clear ... No 0 \n", + "2 Dry Clear ... No 0 \n", + "3 Dry Clear ... No 0 \n", + "4 Dry Clear ... No 0 \n", + "... ... ... ... ... ... \n", + "14995 Wet Foggy ... Yes 1 \n", + "14996 Wet Rainy ... Yes 2 \n", + "14997 Wet Rainy ... No 1 \n", + "14998 Slippery Blizzard ... Yes 2 \n", + "14999 Slippery Blizzard ... Yes 2 \n", + "\n", + " road_surface_conditions_n weather_n traffic_density_n road_hazards_n \\\n", + "0 0 1 1 3 \n", + "1 0 1 1 3 \n", + "2 0 1 1 3 \n", + "3 0 1 1 3 \n", + "4 0 1 1 3 \n", + "... ... ... ... ... \n", + "14995 4 2 2 5 \n", + "14996 4 5 0 5 \n", + "14997 4 5 2 3 \n", + "14998 3 0 0 0 \n", + "14999 3 0 0 4 \n", + "\n", + " time_of_day_n fatigue_level_n medical_condition_n speeding_n \n", + "0 3 1 5 0 \n", + "1 3 1 5 0 \n", + "2 3 1 5 0 \n", + "3 0 1 5 0 \n", + "4 0 1 5 0 \n", + "... ... ... ... ... \n", + "14995 1 2 2 1 \n", + "14996 2 0 3 1 \n", + "14997 0 2 4 0 \n", + "14998 4 0 3 1 \n", + "14999 4 0 3 1 \n", + "\n", + "[15000 rows x 28 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "# Assuming 'inputs' is your DataFrame\n", + "\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "\n", + "inputs['visibility_n'] = le_visibility.fit_transform(inputs['Visibility'])\n", + "inputs['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(inputs['Road_Surface_Conditions'])\n", + "inputs['weather_n'] = le_weather.fit_transform(inputs['Weather'])\n", + "inputs['traffic_density_n'] = le_traffic_density.fit_transform(inputs['Traffic_Density'])\n", + "inputs['road_hazards_n'] = le_road_hazards.fit_transform(inputs['Road_Hazards'])\n", + "inputs['time_of_day_n'] = le_time_of_day.fit_transform(inputs['Time_of_Day'])\n", + "inputs['fatigue_level_n'] = le_fatigue_level.fit_transform(inputs['Fatigue_Level'])\n", + "inputs['medical_condition_n'] = le_medical_condition.fit_transform(inputs['Medical_Condition'])\n", + "inputs['speeding_n'] = le_speeding.fit_transform(inputs['Speeding'])\n", + "inputsinputs = df.drop('salary_more_then_100k',axis='columns')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "8b3137cb-e4ef-4471-ac79-31abdfa90f53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Driver_AgeDriver_ExperienceDriver_Awake_TimeVehicle_Speed_RatioLast_Service_Months_AgoCargo_LoadTemperaturevisibility_nroad_surface_conditions_nweather_ntraffic_density_nroad_hazards_ntime_of_day_nfatigue_level_nmedical_condition_nspeeding_n
01915.51.0218822001133150
11915.51.0218822001133150
21915.51.0218822001133150
33235.91.09616725001130150
43235.91.09616725001130150
...................................................
1499557339.11.701487420142251221
1499642138.51.41956712245052031
14997633411.31.8016110715145230240
14998714711.92.04181184-10230004031
14999633910.21.8216968-5230044031
\n", + "

15000 rows × 16 columns

\n", + "
" + ], + "text/plain": [ + " Driver_Age Driver_Experience Driver_Awake_Time Vehicle_Speed_Ratio \\\n", + "0 19 1 5.5 1.02 \n", + "1 19 1 5.5 1.02 \n", + "2 19 1 5.5 1.02 \n", + "3 32 3 5.9 1.09 \n", + "4 32 3 5.9 1.09 \n", + "... ... ... ... ... \n", + "14995 57 33 9.1 1.70 \n", + "14996 42 13 8.5 1.41 \n", + "14997 63 34 11.3 1.80 \n", + "14998 71 47 11.9 2.04 \n", + "14999 63 39 10.2 1.82 \n", + "\n", + " Last_Service_Months_Ago Cargo_Load Temperature visibility_n \\\n", + "0 1 88 22 0 \n", + "1 1 88 22 0 \n", + "2 1 88 22 0 \n", + "3 6 167 25 0 \n", + "4 6 167 25 0 \n", + "... ... ... ... ... \n", + "14995 14 874 20 1 \n", + "14996 9 567 12 2 \n", + "14997 16 1107 15 1 \n", + "14998 18 1184 -10 2 \n", + "14999 16 968 -5 2 \n", + "\n", + " road_surface_conditions_n weather_n traffic_density_n \\\n", + "0 0 1 1 \n", + "1 0 1 1 \n", + "2 0 1 1 \n", + "3 0 1 1 \n", + "4 0 1 1 \n", + "... ... ... ... \n", + "14995 4 2 2 \n", + "14996 4 5 0 \n", + "14997 4 5 2 \n", + "14998 3 0 0 \n", + "14999 3 0 0 \n", + "\n", + " road_hazards_n time_of_day_n fatigue_level_n medical_condition_n \\\n", + "0 3 3 1 5 \n", + "1 3 3 1 5 \n", + "2 3 3 1 5 \n", + "3 3 0 1 5 \n", + "4 3 0 1 5 \n", + "... ... ... ... ... \n", + "14995 5 1 2 2 \n", + "14996 5 2 0 3 \n", + "14997 3 0 2 4 \n", + "14998 0 4 0 3 \n", + "14999 4 4 0 3 \n", + "\n", + " speeding_n \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "... ... \n", + "14995 1 \n", + "14996 1 \n", + "14997 0 \n", + "14998 1 \n", + "14999 1 \n", + "\n", + "[15000 rows x 16 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "inputs_n= inputs.drop(['Light_Conditions' ,\t'Road_Type' \t,'Landscape' ,'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding'],axis='columns')\n", + "inputs_n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "036c74fe-8120-496f-835b-f5f80cb1912d", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Assuming 'target' is your original target column\n", + "target_n = target.apply(lambda x: 0 if x < 50 else 1)\n", + "\n", + "# 1 means less than 50 low risk\n", + "# 2 means very high\n", + "# 0 means medium risk\n" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "8512bbed-d8fa-4a4f-8ac6-028adcab230a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
DecisionTreeClassifier(criterion='entropy', max_features='sqrt',\n",
+       "                       min_samples_leaf=5, min_samples_split=10,\n",
+       "                       random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "DecisionTreeClassifier(criterion='entropy', max_features='sqrt',\n", + " min_samples_leaf=5, min_samples_split=10,\n", + " random_state=42)" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "from sklearn import tree\n", + "\n", + "model = tree.DecisionTreeClassifier(criterion='entropy', min_samples_split=10,min_samples_leaf=5, max_features='sqrt', random_state=42)\n", + "\n", + "model.fit(inputs_n, target_n)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "f8503bbe-5253-4538-8704-e5aad479e20b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9998666666666667" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.score(inputs_n, target_n)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "d8297c4e-6608-4255-9a82-0ac4f0bff963", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/lib/python3.11/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but DecisionTreeClassifier was fitted with feature names\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/plain": [ + "array([0])" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.predict([[10,20,10.2 \t,1.82 \t,16 \t,968 ,\t-5 \t,2 \t,3 \t,0 ,\t0 \t,4 \t,4 \t,0 \t,3 ,0]])" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "a3baba84-749c-4f09-9f18-1286a5668271", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABx8AAAb0CAYAAAApxt3BAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd5hcZdnH8e+ZOdNnZ2d7S9lUkhBCCwRCCb2DgKAvoIgoKNgQUUCkSRNUUBApCoggRaU3ASmhQ5CaUAIhdbO9T2/n/SNkybIzm7bZ2fL7XFeUfZ5zztyzs8+ccj/FsCzLQkRERERERERERERERERkM9nyHYCIiIiIiIiIiIiIiIiIjAxKPoqIiIiIiIiIiIiIiIjIgFDyUUREREREREREREREREQGhJKPIiIiIiIiIiIiIiIiIjIglHwUERERERERERERERERkQGh5KOIiIiIiIiIiIiIiIiIDAglH0VERERERERERERERERkQCj5KCIiIiIiIiIiIiIiIiIDQslHERERERERERERERERERkQSj6KiIiIiEgvf/vb3zAMo+efaZqMGTOGb3/729TV1W308fbaay/22muvAY/zoosuwjCMTdr3rrvu4g9/+MPABvS5X/3qV4wbNw7TNAkGgzm3Wxt/eXk53d3dfepra2s57LDDtkiMg2HZsmUYhsHf/va3LfYahmFw0UUXbdC2XV1dXHbZZcyePZtAIIDL5aK2tpaTTz6Zt956a6Nf+/nnn8cwDJ5//vmN3ldERERERGQkM/MdgIiIiIiIDE233XYb06ZNIxqN8sILL3DFFVcwf/583n//fXw+3wYf589//vMWjHLT3HXXXSxcuJAzzjhjQI/70EMPcdlll3Heeedx8MEH43K51rtPc3MzV111FZdccsmAxpJvVVVVvPrqq0yaNCnfobBkyRIOOOAAmpqa+P73v8/FF1+M3+9n2bJl/POf/2THHXeko6ODwsLCfIcqIiIiIiIy7Cn5KCIiIiIiWc2cOZPZs2cDsPfee5NOp7nkkkt48MEHOeGEEzb4ODNmzFjvNul0mlQqtUHJuqFs4cKFAPz4xz+mvLx8g/Y56KCDuOaaa/jBD35AZWXllgxvUKz7We6yyy75Dod0Os1RRx1FS0sLr776KjNnzuypmzdvHt/61rd44okncDgceYxSRERERERk5NC0qyIiIiIiskHWJpKWL18OwMUXX8ycOXMoLi4mEAiwww47cMstt2BZVq/9vjzt6trpOK+66iouvfRSJkyYgMvl4rnnnuuZyvLOO+/kzDPPpLKyEo/Hw7x583j77bfXG2Mmk+Gqq65i2rRpuFwuysvLOfHEE1m1alWveB577DGWL1/ea3rZzT1ubW0tv/rVrwCoqKjY4ClBL730UlKp1Hq3zTXNZ7bpTU866ST8fj8fffQRBx54ID6fj6qqKn7zm98A8Nprr7H77rvj8/mYOnUqt99+e5/Xa2ho4Hvf+x5jxozB6XQyYcIELr74YlKpVJ/XzvZZ5pp29aOPPuK4446joqICl8vFuHHjOPHEE4nH48CakaCnn346M2bMwO/3U15ezj777MOLL7643t9lNg8++CDvv/8+5557bq/E47oOPvhgvF5vz88vvfQS++67LwUFBXi9XubOnctjjz223tfKNcXwSSedRG1tbc/Pa383v/3tb7nyyiupra3F4/Gw1157sXjxYpLJJOeccw7V1dUUFhZy1FFH0dTU1OuYa6fl/c9//sMOO+yAx+Nh2rRp3Hrrrb22i0QinHXWWUyYMAG3201xcTGzZ8/m7rvvXu/7ERERERER2RQa+SgiIiIiIhvk008/BaCsrAxYk0D53ve+x7hx44A1Ca0f/ehH1NXVccEFF6z3eNdeey1Tp07ld7/7HYFAgClTprBs2TIAfvnLX7LDDjvw17/+lc7OTi666CL22msv3n77bSZOnJjzmKeddho333wzP/zhDznssMNYtmwZ559/Ps8//zxvvfUWpaWl/PnPf+bUU09lyZIlPPDAAxv03jfkuA888ADXX389t9xyC//5z38oLCxkzJgx6z32+PHjOf3007nuuus488wzmTp16gbFtD7JZJKjjz6a73//+/z85z/nrrvu4txzz6Wrq4v77ruPs88+mzFjxnDddddx0kknMXPmTHbccUdgTeJx5513xmazccEFFzBp0iReffVVLr30UpYtW8Ztt93W67WyfZbZvPvuu+y+++6Ulpby61//milTplBfX8/DDz9MIpHA5XLR1tYGwIUXXkhlZSWhUIgHHniAvfbai2eeeWaj1w996qmnADjyyCM3aPv58+ez//77M2vWLG655RZcLhd//vOfOfzww7n77rv5+te/vlGv35/rr7+eWbNmcf3119PR0cHPfvYzDj/8cObMmYPD4eDWW29l+fLlnHXWWXz3u9/l4Ycf7rX/u+++y89+9jPOOeccKioq+Otf/8p3vvMdJk+ezJ577gnAmWeeyR133MGll17K9ttvTzgcZuHChbS2tg7Y+xAREREREVmXko8iIiIiIpLV2ukzY7EY8+fP59JLL6WgoIAjjjgCoFcCKpPJsNdee2FZFn/84x85//zz1zua0O128+STT/aa7nJt8rGsrIwHHnig5xi77747U6ZM4YorruAvf/lL1uN99NFH3HzzzT2JvLW233575syZwzXXXMNll13GjBkzCAaDGzwt6IYed/vtt+9JNu64446Ulpau99hrnXfeedx666388pe/5N///vcG79efRCLBpZdeytFHHw2sGZX36KOPcsUVV/DWW2+x/fbbAzB79mzKy8u56667epKPF110Ee3t7SxatKgnubzvvvvi8Xg466yz+PnPf95rOt3+Pst1nXnmmZimyRtvvNGTxAZ6TeO71VZb9VonNJ1Oc+CBB7Js2TKuvfbajU4+rlixAoAJEyZs0PbnnHMORUVFPP/88/j9fgAOO+wwtttuO8466yy+9rWvrfdve0MFg0EefPBBbLY1kxK1tLRwxhlnMG3aNB566KGe7T766CP+8Ic/0NXVRSAQ6ClvaWnh5Zdf7vmM9txzT5555hnuuuuunuTjyy+/zAEHHMBPf/rTnv0OPfTQAYlfREREREQkG027KiIiIiIiWe2yyy44HA4KCgo47LDDqKys5IknnqCiogKAZ599lv3224/CwkLsdjsOh4MLLriA1tbWPlNEZnPEEUfkXGfv+OOP75XgGT9+PHPnzuW5557Leby1dSeddFKv8p133pnp06fzzDPPrDemwTzuukpKSjj77LO57777eP311zf7eACGYXDIIYf0/GyaJpMnT6aqqqon8QhQXFxMeXl5z3S6AI8++ih777031dXVpFKpnn8HH3wwsGZ04Lr6+yzXikQizJ8/n6997Wu9Eo/Z3Hjjjeywww643W5M08ThcPDMM8/w4YcfbvD73xThcJjXX3+dY445pifxCGC32/nmN7/JqlWr+Pjjjwfs9Q455JCexCPA9OnTgb7JwbXlaxOpa2233XY9iUdYkwSeOnVqr89y55135oknnuCcc87h+eefJxqNDlj8IiIiIiIi2Sj5KCIiIiIiWf39739nwYIFvP3226xevZr33nuP3XbbDYA33niDAw44AIC//OUvvPzyyyxYsIDzzjsPYIMSHFVVVTnrKisrs5b1N1Xk2rpsx62urt7kaSa31HG/7IwzzqC6uppf/OIXA3I8r9eL2+3uVeZ0OikuLu6zrdPpJBaL9fzc2NjII488gsPh6PVv6623BtaMuFtXf5/lWu3t7aTT6fVORXv11Vdz2mmnMWfOHO677z5ee+01FixYwEEHHbRJibO1ybmlS5duUIyWZeX8rIEBna70y5+F0+nst3zdzwjWJK2/zOVy9fo9XXvttZx99tk8+OCD7L333hQXF3PkkUfyySefDMh7EBERERER+TJNuyoiIiIiIllNnz6d2bNnZ6275557cDgcPProo70SXA8++OAGH7+/qSsbGhqylmVLtqy1tq6+vr5Pgmv16tUbNQ3qYBz3yzweDxdddBGnnnoqjz32WJ/6tb/neDzeq/zLicCBUFpayqxZs7jsssuy1q9NxK21IdOQFhcXY7fbWbVqVb/b3Xnnney1117ccMMNvcq7u7vX+xrZHHjggdx88808+OCDnHPOOf1uW1RUhM1mo76+vk/d6tWrAfr9vN1uN52dnX3Kt8RntKF8Ph8XX3wxF198MY2NjT2jIA8//HA++uijvMUlIiIiIiIjl0Y+ioiIiIjIRjMMA9M0sdvtPWXRaJQ77rhjQI5/9913Y1lWz8/Lly/nlVde6Xe9v3322QdYk7xa14IFC/jwww/Zd999e8q+PDqsPxtz3M118sknM336dM455xwymUyvutraWgDee++9XuUPP/zwgL3+WocddhgLFy5k0qRJzJ49u8+/LycfN4TH42HevHn861//6jcZZxgGLperV9l7773Hq6++utGvCfCVr3yFbbbZhiuuuIKFCxdm3ebJJ58kEong8/mYM2cO999/f6+/j0wmw5133smYMWOYOnVqzteqra1l8eLFvRLEra2tvPLKK5sU+0CrqKjgpJNO4rjjjuPjjz8mEonkOyQRERERERmBNPJRREREREQ22qGHHsrVV1/N8ccfz6mnnkprayu/+93v+iSNNlVTUxNHHXUUp5xyCp2dnVx44YW43W7OPffcnPtstdVWnHrqqVx33XXYbDYOPvhgli1bxvnnn8/YsWP56U9/2rPtNttsw/33388NN9zAjjvuiM1myznKc2OOu7nsdjuXX345Rx11FACzZs3qqausrGS//fbjiiuuoKioiPHjx/PMM89w//33D9jrr/XrX/+ap59+mrlz5/LjH/+YrbbailgsxrJly3j88ce58cYb1zt9ajZXX301u+++O3PmzOGcc85h8uTJNDY28vDDD3PTTTf1rC96ySWXcOGFFzJv3jw+/vhjfv3rXzNhwgRSqdRGv6bdbueBBx7ggAMOYNddd+W0005j7733xufzsXz5cv7973/zyCOP0N7eDsAVV1zB/vvvz957781ZZ52F0+nkz3/+MwsXLuTuu+/ud5TnN7/5TW666Sa+8Y1vcMopp9Da2spVV11FIBDY6LgHypw5czjssMOYNWsWRUVFfPjhh9xxxx3suuuueL3evMUlIiIiIiIjl5KPIiIiIiKy0fbZZx9uvfVWrrzySg4//HBqamo45ZRTKC8v5zvf+c5mH//yyy9nwYIFfPvb36arq4udd96Ze+65h0mTJvW73w033MCkSZO45ZZbuP766yksLOSggw7iiiuu6DVl609+8hMWLVrEL3/5Szo7O7Esq9dIy0097kA48sgjmTt3btbRcnfccQc/+tGPOPvss0mn0xx++OHcfffdOROnm6qqqoo333yTSy65hN/+9resWrWKgoICJkyYwEEHHURRUdEmHXfbbbfljTfe4MILL+Tcc8+lu7ubyspK9tlnn551Dc877zwikQi33HILV111FTNmzODGG2/kgQce4Pnnn9+k1500aRJvvfUW1113HQ888AA33HAD8Xicqqoq9txzT1566SUKCwsBmDdvHs8++ywXXnghJ510EplMhm233ZaHH36Yww47rN/X2W233bj99tv5zW9+w1e+8hUmTpzIhRdeyOOPP77JsW+uffbZh4cffphrrrmGSCRCTU0NJ554Ys/6rCIiIiIiIgPNsPq7wxYRERERERlEzz//PHvvvTf/+te/OOaYY/IdjoiIiIiIiIhsJK35KCIiIiIiIiIiIiIiIiIDQslHERERERERERERERERERkQmnZVRERERERERERERERERAaERj6KiIiIiIiIiIiIiIiIyIBQ8lFEREREREREREREREREBoSSjyIiIiIiIiIiIiIiIiIyIJR8FBEREREREREREREREZEBoeSjiIiIiIiIiIiIiIiIiAwIJR9FREREREREREREREREZEAo+SgiIiIiIiIiIiIiIiIiA0LJRxEREREREREREREREREZEEo+ioiIiIiIiIiIiIiIiMiAUPJRRERERERERERERERERAaEko8iIiIiIiIiIiIiIiIiMiCUfBQRERERERERERERERGRAaHko4iIiIiIiIiIiIiIiIgMCCUfRURERERERERERERERGRAKPkoIiIiIiIiIiIiIiIiIgNCyUcRERERERERERERERERGRBKPoqIiIiIiIiIiIiIiIjIgFDyUUREREREREREREREREQGhJKPIiIiIiIiIiIiIiIiIjIglHwUERERERERERERERERkQGh5KOIiIiIiIiIiIiIiIiIDAglH0VERERERERERERERERkQCj5KCIiIiIiIiIiIiIiIiIDQslHERERERERERERERERERkQSj6KiIiIiIiIiIiIiIiIyIBQ8lFEREREREREREREREREBoSSjyIiIiIiIiIiIiIiIiIyIJR8FBEREREREREREREREZEBoeSjiIiIiIiIiIiIiIiIiAwIJR9FREREREREREREREREZEAo+SgiIiIiIiIiIiIiIiIiA0LJRxEREREREREREREREREZEEo+ioiIiIiIiIiIiIiIiMiAUPJRRERERERERERERERERAaEko8iIiIiIiIiIiIiIiIiMiCUfBQRERERERERERERERGRAaHko4iIiIiIiIiIiIiIiIgMCCUfRURERERERERERERERGRAKPkoIiIiIiIiIiIiIiIiIgNCyUcRERERERERERERERERGRBKPoqIiIiIiIiIiIiIiIjIgFDyUUREREREREREREREREQGhJKPG8iyLLq6urAsK9+hiMh6qL2KDB9qryLDh9qryPCh9ioyfKi9igwfaq8iIhtOyccN1N3dTWFhId3d3fkORUTWQ+1VZPhQexUZPtReRYYPtVeR4UPtVWT4UHsVEdlwSj6KiIiIiIiIiIiIiIiIyIBQ8lFEREREREREREREREREBoSSjyIiIiIiIiIiIiIiIiIyIJR8FBEREREREREREREREZEBoeSjiIiIiIiIiIiIiIiIiAwIM98BiIiMdvVNnbz1/greem8FtWNL2GvuVCrKAjgd+oqWwZNJrcawOrGij0CmEcO1Bzi2wzBr8x2ayKhlJZdC4lWs5P/APg7DfTAZirE7SvMdmoisI51oxWa0YcWehPRSDMd24NqNjDUWu8OR7/BE5Eus1HJILsKKPwu2Igz3EVhGETbHmHyHJiJfkkmuxLA6sGIPQ6Ydw7UPOLbGMMfnO7SsrNRKyDRgRR8GK4nhOQTstRjmuHyHJkNQZ1eU1Y0dPPHsQpLJNPvPm0HtmBKKi3z5Dk1kQOjJtohIHi1b2cIPf3kPnd3RnrJb7n6ZK887mh1njcM07XmMTkaLTLIeI/kCVtcFPWVW7BGwVUPxbRjmhDxGJzI6WcmPsNq+BVb7F2Xhm7AFryWV2R7TVZLH6ERkrVS8C7u1EKvjdCAJfH4ODQWwFd8ObJ3X+ESkNyu1gkz79zHSS74oi9wO/p+S4Qhsjpo8Rici68okV0H8UazQNT1lVuxhLPskbEU3DbmEnpVaiRW6DmIPflEWux+cu0Dg0iEXr+RXR2eEm//xIo889V5P2aP/fZ8dZ43jV2ccSmmxP4/RiQwMTbsqIpInnV0RLr/2iV6JR4B0OsP5Vz1ES1soT5HJaGMQxuq6qG9FZjVW9+/JpJsGOySRUc1KrSTTdX6vxOMaKazOs7DbOvMSl4j0Zbe3YnWeydrEYw+rC6vzXKzkirzEJSJ9pZPtWOFbeiUee4SuwbB0fhUZSgy6YJ3EY095eglW+FbSyS9fK+dZemmvxGOPxGsQf3HQw5GhbenKll6Jx7X+994KXv3fZ3mISGTgKfkoIpInnd0xPvykIWtdNJakrr5jcAOS0SvxGpDJXhd/BsPqHtRwREY9K4yRfDdHXQTSywY1HBHpR3o15DpPpj4C1JlMZKiwGZ3ZEwOfs+JPDF4wIrJeVuzx3JWxB9a06SEik27HityVs96K3oOVUockWSOZTHHfo2/lrP/XI/+jvTM8iBGJbBlKPorkSTi5isbw/HyHIXmUSqX7rY/EEoMUiYx2Vr/JxTRY/f+tisgAs1LrqVcyQ2TIsCLrqU/2Xy8ig8gCK5q7OqMOdyJDSqafa14rCpY1eLGsV7L/awIrDFaODr8y6qTTFqFI7md+0ViCTHoo/X2LbBolH0Xy5MW6r/NG44/yHYbkkd/npjiYfRFpw4DasVrPSwaH4dwld6W5FRiewQtGRMDwga08d705bfBiEZH+2SeQ87baKAIjMKjhiEhuluXEcs7JWW+49h3EaERkfQzXPjnrLOcuWLgGMZr+2ezl/X+HOPfEshUNXkAypLndDvbbI/c93e47TyZQ4B7EiES2DCUfRfIkqV6Vo15psZ8zTsl+cXrUwdtTVJg9MSky4Gyl4NwjWwVGwbkY5thBD0lkNMsYYzEKfpG90n0MFjo/iAwVFj7wHJ+1zig4i7RVMcgRiUguNkcNNv/PAUefOssxC+zjBj8oEcnNrF3TNvtwYPP/HJujetBD6pdrHtjH9C03CjF838RmLxz8mGTI2mm7Wqoq+v5N+H0ujjlsBxwOMw9RiQwsJR9FRPLEZjPYefta/njJ15k2uRLTtFFdGeScHx7ESV/bFb9v6PTik5HNMMdiBC4C/5lgqwAc4NgJo/guLNvkfIcnMurYTRPL3BGj6BZwzAIcYB+LUXAhhv90bI6afIcoIp+zOaowfCdjBC4B+3jAAebWGMGbsBy7Yjq9+Q5RRNaRoQqj+F4s556AA2wl4Ps+tsJrMBzj8x2eiKzDMMdhK7wGfN9f01ZxYDn3xCi+lwyV+Q6vD8OsxSi6FTzHgeEH3OA+DKP4bixLnRukt4qyANde8nWOPXxH/D4XLqfJAfNmcPNvv0lVeTDf4YkMCMOyhtQE2UNWV1cXhYWFdHZ2Egho6hzZfI98tqb31uET38tzJCPPcGyvnV1R4okUdrtBSZE/3+HIKJVJxTGoB8DCxGZm6bU5wIZjexUZTFZqJWvWXgXDUZvXWNReRfpnpZazZk05G4Yjvw8Z1V5F+pdJ1WMQBywyVjl2R/5mFVB7FelfOhnGZjQBBhYubGZV3mLZkPaaSbdjWJ3AmhkSbGbZYIYow0wymaKjK4plWQT8HtzuvqPzRYYrjd8VERkCCgNaU0/yz2a6gFoAjLxGIiJradpjkeHDMDVqSmS4WDd5Yc9jHCKyfms6B0wAhsd9qs1eBKxZ33E4xCv55XCYlJUU5DsMkS1CyUcREZFhzLIyZDLtgA27ve8C9qlUGxmrEww3zjz2EBUZLVKpFBlrFWDg1PRtIsNCJtOFZSWx2QpIp7vIWN0YNg8O+9Cb0k1E+pdIrQYrjmErxqH11UTyJplaRcZKYtqKsastDqhMJoRlxTEMHzabO9/hbJREcgUWaexGNaappYZERjolH0VERIapVKqOaPQhopH7MQwHXt+3cbv3xG6vJJVqI51poq37L8QS/8O0V1BU8D2c5mSceZ4KTmSkSiSX0h19jO7IQ4CdQt/X8Ln3wZnn6VJFJLt0upVk4l1CoT9RELiODHW0d99APPkhDnM8xQWnYdprcDo0AllkqEskVxBPLqI99FfS6Va8rl0JFnz78wfcWtZCZLAkksuJJd6mI/Q30lYnPtdeFPpPwLDG4XQ68x3esJbJdJJMLibUfS3p9Eoczu3x+7+P3T5+yCchE8nlhOPP0xW+B8tK4fccRsB7BE7HhHyHJiJbkJKPIiIiw1AqtYrWlq+STq/sKevsOIOIcyeKi+4lmV7CyuavY1kxABKpxUTiL1JU8EOCvm/qQarIAEskl7Gq5ZskU5/1lDV1vIfLsQ3VJTcpASkyxKTTHXR3/Y5I5HaKipeQTL9IXevJQAZYc94Mx56mPHg5BofgcJTnN2ARySmZWklb95/pDP+9pyyRWkxn5F+MK78fk1l5jE5k9EgkV9DceSmh6GPrlH1MZ+RexpU/AGyVv+CGuUwmQiRyH12dv+opS6UWE43cR0npvbhcu+Yxuv4lksuob/sBscTbPWXx5CK6wnczpuxuJSBFRjBbvgMQERGRjWNZKSKRe3olHtdKJhaQyjTQ2P7LnsTjutq7r8eyIoMRpsiokUrF6Yo80CvxuFY8+T6R+Ot5iEpE+pPJ1BOJ3A6AzVxNY8c5rE08rqu589dk6Brk6ERkY6QzHb0Sj2tZVoSmjotIJPteM4vIwEtlGnolHtfKZDpo6fwdyXRDHqIaGTKZZro6L8pSk6Kj/UzS6cbBDmmDRRNv9Uo8rpVMr6Az/E/S6VAeohKRwaDko4iIyDCTybQRjfwrZ71FmHhyUc7aaGLBlglMZJTKWKvpjjyYs7478m+SST1sERlKYrHnev47k+kileOBqGXFSKXqBissEdkE4dj8nHXR+GtYRAcxGpHRqzvyaM66UPRJMhl1gt1UqdQSIJW1Lp1eTibTMajxbKhkqoWufp5ddEcfJpVpGsSIRGQwKfkoIiIyLPV3CjfWs+/66kVkoxnraZNqdiJDirExt8KGGrDIULZR7VlEtpj1tUWdTTfH8P3t9f93MXzfl4isn67QREREhhmbrQSP9+s56w3Dj8uRa20bGx7XTlsmMJFRymaMJeA9Omd9wPd1HGblIEYkIuvjcu/d8982oxDTXp11O8Pw4LDXDFZYIrIJvO55uetcu2EzvIMYjcjoVeA9LGed33MIhuEfxGhGFtOcBDiz1tnNidhsRYMb0AZymKUE+nl2EfAejWkbM4gRichgUvJRRERkmDEMOz7vsdjNifgLPqKiciUVlSsxbP/D6dwD01ZORdHlGIanz74lgTOxGb48RC0ycpmmSYHnSJzm1D51budsPM4d8xCViPTHZptMReVKHM53sRljqSj6LWD22a48eBnYAoMfoIhsMJutgCL/qYANj3MnfO59MO012IwCyoIX4jD1YFtkMNjt5RR4j+lbbiuhtPBMHGZ5HqIaGWy2MgqDlwFQXrGCisqVlJYtA5wEg9dgtw/d363bOQuPa5c+5Q5zEgHv0djt2ZOqIjL89b27EhERkSHPbtZQUnwHqfQ7dHc9DoaLkuIjsNmuwm5347AmMb7iCTq67yCaWIBpr6So4Ls47ONwmBrBIbK5UqnlpNNNRKMPg5XC4zmCMaV/IxR7ga7IvzGwEfAdh9c1B6ejNt/hisjnksnlZNJ1RKOPgGEnEPgKUI5pTmN8xRO0d99KPLkIhzme4oJTMe2VOOxl+Q5bRPrhNMcRLPgOQd8xRKOPksk0U+Q9GqdzO6Aq3+ENSZaVJJ2uIxZ7llTyY5yunXE652AqUSubwWmOo7TwLAo8h9IRuo2M1YnPvS8B71Fg1dDZcSEe73eAdqLRh7EyIdyeA7HbJ+LQ9XK/bDYPLtcBlJXvRDRyI6n0UpzO2ZSVP4Npjs13eP1yOmqpLLqaaHwBnZG7sKwUBd6v4Hfvq/skkRFOyUeRvDEAK99BiMgwlUotp6PzHBLxF3vKIuG/4PV+C3/BaZjmOEwKKS38OelMB4bhVk9TkQGSSi6nu/tqotF/9ZRFIrfjcu1HYeGleN17g2Vg4CYS+i32wC+w20vyGLGIwJpzZ1fn+cTj/+0pi4RvxeM5loKCM7E7plFWdD6ZdBc2w4dpqt2KDAfJZB3JxCt0dpzJ2nvsaORu7PZaSkruBCbmNb6hxrLSJBL/o7XlOCAOQCRyBzZbMSWl9+Nw9J3JQWRDOc1xOM1xuJ3bYllxbEYJXZ1nEIs9Tln5q0QjdxEKXduzfSRyBw7HDhQVX49pjs9j5ENbKtVGKrWQttZvAwlgzfeczVZKSem9OBzT8xvgejgdtTgdtXjcu2GQ0Yh0kVFC066KiIgMQ7HYM70Sj2tFIreTTq3o+dluD+B0jFPiUWQApVKLeyUe14rH/0si8RqG5aC1eWdammcRidxBKvlRHqIUkS9LxF/rlXhcKxr9F6nUJxiGHdMWxOkYp8SjyLASprPjLL7cuTedXkZX11WkUk35CWuISqcbaGs9mbWJx7UymTba239IOt2an8BkRHGYlTgd40kmniMWexy7eQpWpqVX4nGtZPItIpF/k04n8hDpMGG10972fdYmHtfKZFroaD+L1DrPAIYyp1mtxKPIKKLko0jeaNSjiGyaVHIZkfDfc9aHw3eQyXQPYkQio0c63Uw4fHvO+nD4bxhG74d5ofDNZDLRLR2aiPQjmVyxnrZ7O+l0yyBGJCIDJR5/GUhnrYvFHseyugY3oCEunV6NZXVkrUslF5LJtA1uQDJipdMdhEI3AVBaegGRyL05t42E7yKTWTVYoQ07qfQKLCv7PX4y+TaWFRrkiERE1m9EJB9ra2sxDKPPvx/84AcAWJbFRRddRHV1NR6Ph7322otFixblOWoREZFNlSbTz82FZXWRycRz1ovIprOsRL839xmrG0j13ifT2adMRAZb8vP2mZ1ldWNZGnEhMhxlMp391KbQObg3ywqvZwN9F8pASfUk/y3LImPlbqtrtlMn/Vys9XQutizd/4vI0DMiko8LFiygvr6+59/TTz8NwLHHHgvAVVddxdVXX82f/vQnFixYQGVlJfvvvz/d3RoVIiIiw5ARxOXcI2e1y30Aplk6iAGJjCYVuFz75Kx1ufYCek/X6HYfhmH4t2xYItIvm60Ml3NeznqXaz9AU5SLDEcu19ycdaY5DXAPXjDDgGkfDxhZ6wyjEMMWHNR4ZOSy2QpxuQ8AIJ1ehdt9UM5tXa49sNl8gxXasGP2sxarzVaMzQgMYjQiIhtmRCQfy8rKqKys7Pn36KOPMmnSJObNm4dlWfzhD3/gvPPO4+ijj2bmzJncfvvtRCIR7rrrrnyHLiIistFMswR/wWlZkxl2ew1u116DH5TIKGGaJh7PYdhsFX3qDKMQn+9bNDd9tafMZqvE7TkIw8j+kE9EBofdHsDnPwnDKOxTZ7NV4PEcgmmaeYhMRDaXzVaB07lblhqDQOEFOBy1gx3SkGazl+L1nZy1LlB4AXZ75SBHJCOVYTjw+b6JYQRpbZmLw7Edpjk5y5ZuCgI/099ePwzDj8fztax1BYFzwaga5IhERNZvRCQf15VIJLjzzjs5+eSTMQyDpUuX0tDQwAEHHNCzjcvlYt68ebzyyis5jxOPx+nq6ur1T0SGJrVXGZ2qKC17CJf7QMCOYXjweP+PkpJ7MR0T8h1cTmqvMhKYjomUlP4Lj+cYwAWYuN2HUlr2AMlkMfAJ4MLjPY7SsgcwzTH5DXgTqb3KyDOe0rIHcbsPBUzAhcfzVUpK/4XpmJjv4DaL2quMZg7HeIJFv8fv/wk2W/GaMueOlJT+C7t9Sp6j6yvf7dVmK6Cg4CcUBq/Cbq8BwDSnUlx8O273wRiGfVDjkZHNbh9HWdmjuN1HEo8voqj473i9J2EYXsCGy7UXpWUPYQzR5Fm+2+tapjmGgsCZBAIXYrNVfV42jaLiW3G59sA0vXmJS0SkP4ZlWSNqQu1//vOfHH/88axYsYLq6mpeeeUVdtttN+rq6qiuru7Z7tRTT2X58uU8+eSTWY9z0UUXcfHFF/cp7+zsJBDQUHbZfI98NguAwye+l+dIhj+1VxnN0ukGMpkIBgaGEcBulqx/pzxSe5WRJJVqBiuEhYXN5sNuryCTCfesPWWzFWOzDd+p3tReZaRKpxvJZMIYGGD4Mc2yfIe02dReRSCdDmNlGsEAyzJxOMblO6SshlJ7TacbwUqB4cRuH/7fhTJ0rXuNvKbzXheWZWEYbkyzur9d82ootVeAVCqFZa3AMADLhqmR3SIyhI245OOBBx6I0+nkkUceAehJPq5evZqqqi960ZxyyimsXLmS//znP1mPE4/Hice/WKy3q6uLsWPH6uZNBoySjwNH7VVk+FB7FRk+1F5Fhg+1V5HhQ+1VZPhQexUR2XQjalGL5cuX89///pf777+/p6yycs184Q0NDb2Sj01NTVRU9F2rZy2Xy4XL5dpywQ5hqXSGZ/63mAN22krrE8mwMJrbq4xM8WQjWFFsRjEOx8i6oVF7laEinU4QyzRhM9zYrQyWFRmRbW5zqL3KUBdN1ZOx0riMSiyrnYwVwbAV4jSD+Q5t0Km9ykiWSIaxaMHAhdMx/NeEU3uV4SSVihO3mrEZJh5zTftLJFcC4HSMzWdog2K4ttdkuptMuhXD5sZpDv/vzQ0RT7WStiKYRiFOc2Dv6VLpNKFYAqdpx+tyDuixYc3nZZHBYQvoWbyMKCMq+XjbbbdRXl7OoYce2lM2YcIEKisrefrpp9l+++2BNetCzp8/nyuvvDJfoQ5p/3z2Ha6+93nKg362nzo81ygSERmO4okVJNOf0Rn+K+l0My7nLgT938CyKnE7C/IdnsiIEU4uZ3XocTz2IH57gHD0btLpZjzOXQj4v4FhjcHp9OQ7TBHJIZxcSUfsbVaE7qPCPZdyz0y6Qn8jlV6By7ENhf6TsVGB0zm0pyIXkf4lEgksYyWdkXuJxV7AZiui0PdtnI5puIbolKoiI0k4uZz68FM0hp/BaS9m6+IfkUi8RXfkXgAKvF/F65qHU1N/DhnJZJQMdXSF7yYafwm7rZig/zs4zKk4R+j3Zji5mni6gaWdtxNN1RNwTqe28AQc9mI89tLNOnYmY1HX0cX9/1vIix8vo9jn5dt77Mi0qjKKfJt/vxhLNdMWe5PlXXdjkaLGfwTl3r16Ev0iw92IST5mMhluu+02vvWtb2GaX7wtwzA444wzuPzyy5kyZQpTpkzh8ssvx+v1cvzxx+cx4qGrOxIDIJZI5TkSEZHRI55YQWfk73SG/vxFWfJ9uiN3UVN2HzArf8GJjCChxFJebziZau++mNTR3HVrT108+T6dkbsYU3Y/sE3+ghSRnMLJlSxsuZjW2GtUePcmYE9T33JsT308+T5dkX9RU/oPnOyex0hFZHNljKXUNR9NJtPeUxaNz8fv/T+K/T/B5Ryfx+hERrZwcjmv13+HWLoBgNnlV9Hc9mMSqUU928QSb+J0bE1V8V+UgBwi0tZn1DV/lYzV1VMWic+n0PdtCv3fG3EdN6LJJpojz/FB2xU9ZV2JD6gLPcROlTfh8Wxe8nFpSxvH33gv3bEvpt596ZNlfGu3Hfj+PnMo9Lg3+dixVDPvNP2CtviCnrKO+Hss67yDnatuUQJSRgRbvgMYKP/9739ZsWIFJ598cp+6X/ziF5xxxhmcfvrpzJ49m7q6Op566ikKCjSKpD8WI2o5UBGRIc0i3Cvx2FNuhWnpuID451PbiMimi6Va+azzVhLpNiq9u9EdvrXPNpYVprnjgp7ppERkaAklPqE19hoAEwqOpKPrqixbJWlq/wWJ5NLBDU5EBkwiWU9r5xW9Eo9rhSL3kLH6lovIwIinO1jW9Y+exGPAOQ0jvaxX4nGtRHIRkdhzgx2iZJFIrqKl89e9Eo9rdYZvw8pSPtylrTAftf2uT7lFioUtFxNOLN/kY3dH41z52Pxeice1bn/5LZq7wpt8bIDO+MJeice1wqnl1HU/gmWlN+v4IkPBiEk+HnDAAViWxdSpU/vUGYbBRRddRH19PbFYjPnz5zNz5sw8RDm8WMo9iogMmkj8pZx1scQbWFZkEKMRGZlSmW7qw0/ic0wgmXw353axxOtqcyJDUCoTZlXoYQBMw4+VacUikXXbZHoZGat7MMMTkQFkESES+2/O+lDsP4MYjcjokkp3UB96sufncs+uRGOP5dy+K/pvEskVgxGa9MMiSrSf5wrh2LODGM3gCCeXkiGZtS6SWkHK2vQEYVcsxsuf5k5evrR42SYfO5WJsaL73pz1q0IPkEirk40MfyMm+SgDRwvbiogMPvX3ENnyjJ7/17WOyPD1+RlzQ+5Z1JtSZMTSTE0iW461zv9u2A5qj0ODRb+f2wj8nNZ3Lticc4Vl9f8r27LnoZH3WcnopOSj9KHco4jI4PO5dstZ53LOxsA7iNGIjEymLUCldz9Cyc9wOrbNuZ3buROGoTYnMtSYNh81/sOBNSOZDVsp4Mi+rX0chi0wiNGJyMDy4nXvnbPW7z5wEGMRGV0cRhGVvv17fm6Kvo7HfXDO7Qu8R+McYWsJDkcGXjyuuTnrfZ59BjGaweF3TMTAzFrnNcfisG36kmsBj5tdJ4/NWb/7lNpNPrZpczO24Nic9TX+r+C0F23y8UWGCiUfRUREhgADPwHfd/uWGx7Kgr/G5cx90SsiG8ZlFjMp+F0ctiAN0dfwe0/ss41heCkLXozToTYnMhSVuHdh29LfAE6Wdz9MsODMLFuZlBf9BpdjwmCHJyIDxOWooiRwHjYjgNs5h7LglRQXnAXY8Xu+is0oyXeIIiOWy1FIbeCbjPF/la1LLqTItQPYJ+Ewp/XZ1mlOw+feNw9Rypc5HWMoLbwIw/D1qQt4T8BmjLxOWXbDy1ZFZ/QpNzDZuuR8fJuRFA94XJx76N74XM4+dcfvsi3lgb6/540RdG1DkWt7pvIgB4x9hwPHvcucwHw85hjGFHwFw7Bv1vFFhoLsXQNEAGsEDscXEcm3tvgq6qIfUx9dTKlrHON92+KzB3E7xxE0vovXvSedob+QzrTgds4h6D8Jy6rId9giw0o0GSKS6WBF+D2a48updE9mjHc6xa4x+J0T2aXqdupCD5MyJ1BWtCuhyN2kM814nHMo9J8EVOf7LYjIl7TH62lLrmZp6E1cNj+zq+4jk26lO/kWlSV30x2+jWRqBS7HTIIF3wNK8x2yiGwmuzGJ4tJnaU2s4qPQ23jt1UwpfRG3zYXbWZXv8ERGtITlwO7ci4/DH1HknI7NPpPy4juIJ56iO7xmrboC71fxuffH6ajNb7DSw2aMZ2z543SGbieaeBW7rZig7zs4HNNxOsbnO7wB53FUUOnbn0LX1izt/BvR1GoCzulMKDwRp618s48/sayY+354Av98431e+mQZxT4PJ+8xmxnV5RR6PZt1bLdZzvSSq4hmQrzUeidpK8mUgl3ZruA2PKbOcTIyKPkofWgdJBGRLaMxtoS7l59HNN3VU+Yw3Hx9/CVUWlNxOcbhcozDaW6NZcWwG8U4HIV5jFhk+EkkErSmVnDvivNJZKI95R57gP8bdxmVnkn4nbVMKPwOyXQbNsON17EzFjFsRhEORzB/wYtIVu2Jeh6s+w0NsU96yl5q+Qf7VXyPKQVH4LEV4SrcCsuKYhDA6dSIKJGRIGS1cP+qy2iKL+0pe6H5Dg6u+hG12Ak6N//Bsoj01Rxbzj0rziOUauspMw0nx4y9kGr31/E69wEsXM7avMUo2TkdBUABRQW/oDDTimG4cDpGdsdKr6MGr6MGnzmelBXFtPlxmwNzLWizGYwrCfKTA+Zy8h474jTt+N2uATl2e7yBN9se4s32h3vK3mh7gMn+ndmv8vsUOSsH5HVE8knTroqIiAyC9kQ9j9T9vlfiESBpxXhg1eV0Z5p6ylyOKtzOCUo8imyCkNXMA6uu6JV4BIimu3i47ira4/UAOO0+fM6xeBxlOJ1VuJwTlHgUGYJi6RD/a3u0V+Jxrf823kQ8E8E0XTgdlbicE5R4FBkhIqkuXm/9d6/E4xoWT9RfRzITyUtcIiNdR7yBJ+qv7ZV4BEhZCR5YdTmhdBsu53glHoc4hxlYc100whOP63I7yvE7xw9Y4nFdDrudYr93wBKPAJ2phl6Jx7U+Db3B8tDbA/Y6IvmkkY+Sk2FoBKSIyEDoTqwmno7QHF+WtT6caiec7qCYmsENDIikWrGsFHabC7c9OOivLzJQuhKrAItIuptQqjXrNq2JlcQyocENTEQ2SiIdJpZuAyxshpNEJs17HU/l3P6jrhepcE8cvABFZFBE010s7Hg2R63FJ6HXKXPXDmZIIiNSJNlKygqzZpU8H3ErQl30w6zbxjNhOpONlLjGDG6QIltQV2IlAAY2CpyD80wmlgrxVtvjOev/1/4Y4/3bUuQcPcljGZmUfJQ+LLTWo4jIQAglGgmlVvFO643MLPlpv9t+eZTWlhZLtbMq/DLvt99GONlA0DWJHUp+SKl7Ok57waDGIrI5Qsk6WmOLea/tFkKJBnap+m2/26esxCBFJiIbqztZxyedD/Fp18Mk0yEqvDuyQ+kviGfCOfeJpDoHMUIRGSwWFkkrnrNebV9k8ySTScKZlbzXdgurwi9hM+yM9+/P+MBX+90vllZHPhkZQonV1EVe5YP2fxBONVLkmsy2xacSdE7Av4WTfikrQSzTnbM+lgmRsTJbNAaRwaBpV0VERLaQjsQnPF33Q5pj7+O2+3EY7qzbGdgodAzemjWJdIj32/7Gq02XEkrWYZGmPb6YZ1b/mFXhl8lY6UGLRWRzxNLdrAy9xAsN59KR+JQUIQrMEowcl7gOw4XXHhjkKEVkQ3QnVvFi/a9Y1P534ukOMqSoj7xOMhNijHfrnPtNKthpEKMUkcFiGg6q3FNy1k/0zx7EaERGnohVx5Orvsfy0DOkrTjJTIRPux7Cabjx9NMZtdQ1fhCjFNkyQol63m+/nTeaf0sotRqLNG3xj3mu/mc0RN8intqyU3v7HcVM8uU+j433botLncJlBFDyUUREZAvoSqzkzZY/wuejyTtiHzK39OtZt92u6CCchmfQYoul2/mo859Z695svoZoqmXQYhHZHPF0G++23dSrLJZuYoeiQ7Nuv2vp1/DagoMQmYhsrM7kClrjfad5e6flGvYuPzlrp4JS13g9BBUZoZw42LviO1nbfoV7EkWOyjxEJTIyxJKdfNjxTxJZRl41R15nz7JvZt1vRmAeTtvg3beKbCkpK8KnXX3XWwR4u/V6Ypkt/0xkSsEu+LOsT+kw3MwpORq/WbjFYxDZ0pR8FBER2QJSVozu5Mqen19tupDJ/u05tOqnBD9/WOI3i9mn4rvsUnIsAWfZoMW2Zk2D7FNsxzOdxDNdgxaLyOaIp7tIZnr3Sn1u9Q/ZsegQ9q04tedmrtBRwSFVP2Hrwr3xONSDVGQoWhV6MWt5U+wdwsnPOKH2Smo804E1o5i3LzqEY8ZeQLHWwhEZkZJ0k0w1cdz4y6lyTwXAafOwY9HhHDXmXFaGn85zhCLDV9zqpD78Wta6N1t/T41nKl+pOZviz9e/89oL2bPsROaVf4ugs2IwQxXZIjoTy8j1TCSWbieZ2fLTCxe7ajh+/OVMD8zDhgkYTPTN5psTfkdBlqSkyHCkNR9FRES2gLUXj+te0D656kRmFH6DY8aej80wMbARsFdgmoN7Onasp7eq3dDlgQwPthx/q4+v/DrbFp3GCeOvwMLCwEaxq2aQoxORjdHfesNvNf+OI8bdwxHVPydNCgMDjy2gzgQiI5qNN5ovodIzm0OqfoDN5sKwDLoSn/DE8hOYWZx9ZJaIrJ8NGw6bN2f9B+1/Yfeyi6kaO4UM6TXLhJhl2O3OQYxSZMsx+/n7h7XPc7a8EtdY9qs4hT3KvgFYOGxuAo7SQXltkcGgp4siIiJbgGl4qfbuwurIq73KP+i8k4867+Gw8XdS6Bybl9j8jiocNn/W3nxFrqm4NC2lDBNOm5+AYxxdyRV96j7uuofawN4EnOPyEJmIbKzx/n1Z1P73rHUTA4diGl58TiUbRUYLl62AWv/+LOl+lLrIy33qx/r3zENUIiNDgXMMUwqP4o3m32atn1p4FImERcBTit2mhKOMPH5HNQ6bt88sOgDFrq1w2HyDGEsx/kF7NZHBpWlXRURkVOqOx6nr7qQzGhuQ48VSq4knG3t+9jsrmF36E7xm7+lUDWzsWnEeDiN/D1A9Zinzqn7Tpzef0xZg94qLcJtFeYpM5AvxVBuxVB3pdDTnNgHnWHarvKjPzaHdcLF75SV4jA2bzrgtEqGuu5NoIrFZMa+VyoRIZ8IDciyR4ao9Eqauu5NIMkk6HSGWqiORas+5vcsWYLuS7/UpL3ROYEbwOFwa5Sgy4oTiHbRHG0mk+55/3WYRM4u/RcDRtxPRjqU/wWHL/qg2nYmRSndhWekBj3c4iCSTdMdjWFb26QRldEulUsRS9STSzdR451Lpmd1nm4kFBxNwjAdnaKMSj/XdXTSGtvxUlbJlpdNRYqk64qm2fIey0VLpCPFUC+nM+p/xuG1F7F7x6z7PRFy2QnYtP48C5+DOmtMYCbE69MXyN+lMhu5YnFgyOahxiAw0jXwUEZFRpSUSoiUW5Y4P3+bDtibGFQT59tY7Uur2UVMQ2OjjRZLLaY++THP4MQzDQaX/qwRc2+JxjKPQVcv+NX+mKfouDdE38ZmV1Bbsh9NWiNeRvzn8bYZJuXsWh4+/m5Wh+XQkPqPCsz2V3tn4zMq8xSUCEE2uJJpazuquf5DMtBF0z6XCfwSmVYPT2fcBSKF9AgePvZXV4ddojX9IoXMC43zzcNtLcJj9TzG8oquDld2d3P7h/2iJRtilcixfnTKTcb4ADodjo2OPpxroiL1Gffe/MAyT6oLjCbi2x2WWb/SxRIarVV2drI508bdFbxFwOvjxdhOJJh+lK74Ap72CMYFv4bRX4HGM6bWf31nFBP+BVHt3ZWn3f4iluxjr250i15RBfwAkIltWe6yBRHopjaG/k86043fuQYX/MAKu8b22CzjHsk/172mNf8yq8Cu47UEmFhyI0x7A7+h9zZpMdxBJLmFV520kMs0UefakwncEbnMMhmEM5tvLi9ZohA/bmrhl0Zt0xeMcVDuVg2unMqagMN+hyRARSS6jNfIMrZFnsBluqgqOY2752XQmV7Os+2lshoMJBQfiMdeMdvxyJ9pclnW280LdUh5Z+hEOm53/mzqLWaWV1BaqQ+twkkgkSLGKxvAjdMRewWErpjrwDTzm+D7XbENNItVGLLWSVd23E0/V4XduTXXBcbjMMZg5lpxxmQFKnTM5dNzfWRF6jq7kSsrc21Dl3WlQZ85Z1tXOu80N3Lv4PVKZDIdPnMYe1bWU2ExO+fdjlHi9nLTLDkwpKyHo7f/eVmQoMix1h9ogXV1dFBYW0tnZSSCw8Q+nh5O/PPIqNz30KteecRRzZ07Idzgj1iOfzQLg8Inv5TmSkWc0tVfZeC/VLeOkp/5NMpPpKTOA3+95CHuNmUCJZ8On14gmV7Cw6ftEkp/2Kg+6d2FqySV4HONz7Clrqb3KuqKJldR1/5267tt7lZu2INtV3onPOXXAXmtlVyf3LH6XP737Wq/ygNPFvYccx4ySjUsYxlMNvN94KuHkR73Kg65dmFb2uxGRgFR7lfWp6+7k0aUfcfmC+VT7Cvj7ATvQ0H0qGav3COaJRWdT5jsEt1mVp0hHPrVXGaraog00hv5GU/jWXuWmrYiZ5f+g0D15o4+ZTHdT13Ubyzv/9KVjBtiu8l58zkmbFfOWtrnttT0W4bf/e5F/fPRur/Jyj49/H3YC4wPBAYpUhqtochnvNn6beKquV3mJ9wAmFZ2Lx7FpnXyWd7Vz8lP38Wln71Fyu1WN4/LdDhyRCciRen4NJT7m3YZvkMp09iofEziZmsA3cJtDMwGZTHfTHHmMT1ov6FVuGE5mVdxG0L1TniJbv+Vd7Zzz0pO8Ut97CZEpwRL+uv/RHPjHv/WUfW+3nfju3NkE3O5BjlJk82jaVRERGTWWdbZz9kv/6ZV4BLCA8155ms54fIOPlUrFaQo/2ifxCNARe41Q4sPNDVdk1ElZ3X0SjwCpTAeftf+WWKphwF4rnEr0STwCdCXi/Pr1Z1nV3Zllr+wsy6Il8lSfxCNAR/w1uuLvZtlLZOSJpJL85s0XADh91nS6Ylf0STwCfNb+O9JZ1tgRkZHPMDr6JB4BUpl2lnX8ns54y0YfM5lu6pN4XHPMLpa0XU4q3ZVlr5GjLtTVJ/EI0BQNc+07rxBNadq+0SyZ7mRV19/7JB4BWiNPEUv1XTt9Q0QTCe77ZFGfxCPAy/Ur+Li9eZOOK4Mvlqrns7ar+iQeAVZ13Uoq3Z2HqDZMMt3Cp22X9im3rASLW35FNLkqD1FtmEWtTX0SjwCfdLTy0JIPefsXp/eU3fTyApq6tayHDD9KPkpOGhMrIiNNVyLOqlD2hw/RVJK68Jq6ZCZMOLmS7sSnRFMNfdaM6UrUE0mvpjH0UM7XagjdRzzVOnDBi4wCbdHn+ql7kXQmTCIdpj2xgqbYx7TFlxFObvxDSoCXVi/LWfdq/QoiG/GgLplpZ3X3vTnrV3f/Q4kWGXEsK0M01Uh34lPCyZUk0zHebakn8/lNxDalXkKJD3LsnSaU+IiW2BLa48uJJIffukIismlaws/nrOuIPQfWxj9cbY+92k/dSySzPFAfSR5Z2rfz01oPL/mQ9nju9bNl5Eum22kKP5azvjH0IPHUxq/V2BAJ8eCSXOd5uHfx+7RHdP07HKQzEdpjL+Wsb42+0OvneLqdUGIZ3YnPiKU27V5soERSS7GsvusGA0RTS0llNr/zSSoVpyOx8vP7z6WEEpufWG+LRfjn4vdz1j/w6SIaYr3b5YtLlm3264oMNq35KCIio0ZmPb0q0laGSKqeD1p+T33kv0AGpy3IVkU/otq/P+mMne5UHfMbr2GrwJ5AJuexLCuNYeSuF5G+rH7a1Jr2ZuP9jgd4p+1e4pkQNuxMKtiLnUu/TeFGrgmXyfT/fbBxKxNY9Pd9AGks1KtLRo5EuoumyAt80PZ74ulWwOCAmjdI9WpX/f/NR9PtvNB4HpFUK5MD+7BTybcodFZv0bhFJP8sUv3UZljfd0fWY36po+CXX3FTjjmcpPu5pklbmZH+9mW9+r9OzVhJPul6hnH+nQhsxHnYov/764xlrVnfRIaB9X1Prvnetqw0XYklvNt8AZ2fdzDzO2qZVXohQddM7DbXlg/1S/r//of+79HWrzO+mrroW7zecivRdDtgMM43h93Lf0DQuelT0WYyVr/tJ21ZfT6SVEbPl2T40chH6UMjHkVkpCp0uSj3+rPWuex2xvoLeaPhR9RHnmLtRWoi08H7rZdQH36WWKadh1aeSXN8McvD7xL07Jvztcr9R+C0l22JtyEyYhV79spZF3TvSluigddbbiGeWdMLNEOaT7qf4Zn6K+hKrN6o19qtJvearDuUV+M1nRt8LIctSIXvqJz1lf6vYdo2fD1ZkaGuNfYGbzf/8vPEI4DFU3W/Yfuyqp7njJ90JPA6cq2zZuAyawmlmsiQYnHXUzzf+Hu6EvWDEL2I5FOpd6+cdYWuuRhG9mv1/hR5ds1ZF3DNxrSNnHXZsjl0wlY56w6u3YpCl9YIG81MW4BSz3456wOevVjQdjsvNl2/UefhMq+Xg/v52ztq8gyKPN6NilXyw254KHTlXhux2DMPgEhqNa+s/lZP4hEglFzGq/WnEE5u2vS9m8vnmISRY2yVy6zBtBVu1vEbYot4vvH3nyceASxWhF/jsVXn0JHoO5Xxhir1+jhy0oyc9YdO2Ioyd+/7xz0n1W7y64nki5KPkpOhHkoiMsKM9QW4ZNf9sGX5gjt79jwKHE66E4uz7lvuPpCPO58k+fnaVSsjb+J374HL3rd3qN+5NQHX9gMbvMgo4LAFKfcd0afcZniZWHQ285uuy7pfQ2wR0XTHRr1WwHRx/Fbb9il3200umLMPYwMbfqNqGHbK/YfhNsf2qfM5pxN077xRsYkMZbFUMx+0Xp2l5j68psn3tlnz937dOx8S9PwSA0efLasKTmJx9yus26W7LvIW8czQXVNIRAaGhZ9iz1f6lNsML+ODP8cw+hsZmZ3TXk5VwfFZjulmSsn5OOzBTQl12BhXUMghtX2TQAGni5/tuDs+x4Z3qJKRx2mWMDZ4Cg5bcZ+6gGtnutMpoul2lodf6bnX3RAFTjfHbzWLal9Bn7pZpZVsW1q1WXHL4HE7aphUfC42w9OnrsJ3JKatEMvKUBd6nFSWqbEtUnzS8RdSeVhmwmEvpjb4kyw1dqYUX4TH0ff+bEN1JFbxRmvfNYoBOpN1dCQ2L+G6Y0U125RW9imv8Qf4+tRtuPq3N/SUHbPdTCoKNr5zjki+adpVEREZNUzTZNuSKh48/Bv8+d3X+bi9mTEFhZy2zRxqA0HCqdxrYaQI0xBbtE6JxdMNf2C/ykuJxF+nI/pfDMNJpe8oSrz74HGM2/JvSGSE8TjGUhv8CSWevanr/jvJdAeF7p0YEziJWMZGVzJ3b+y2xDIqPLl7j37Z2MIgp82awx41tdyy6E1aoxF2qhzDd7eeTbl340cpus1qtq28g6bQozSGH8TATlXB/1Hq3ReXWbHRxxMZqtJWjEhqVda6d1rmccK0+exUOYa/vL+Avyxs58fb30NX7E5C8bdxmhWU+o6hKdHKos47+uzfkVhFmXvqln4LIpJHi7v/S63/RIo8e9Ecvp1kuhO/a1dqCk7gjbZ/smPJCRt9TIc9SG3wRxR79mRl580k0+0E3bswpvDbeMxNnxZvuCjx+Lh41305ZMJU/vL+ArqTCfYdO4lvTt+ecQWbN+pHRgavYyLbVd5NQ/h+WiJPYzc8FHu/Qtoo55nGP/ZsF0o2UeKauMHHnVBYzN0Hf51/f7qI/yxbjMNm59gpM9l37CTGFxZtibciW4jHPpYdqv7Nqq7b6YwtwGEPUhP4FgXObfA4xpLMRGiJvpFz//b4u6QyYUzb4I52ddiDVPiPwu/cmpVdfyWeWo3POZ1xhafiNjfvmUzGStKdbMhZ3xD9gFp/7pH36zM+UMSf9j6cZ1cu4V+LF5LMpDm4dipHT96aSqeHV0uK2N7j5rtzZ7P9mGqC3r7JYZGhTslH6UMjHkVkJKsqKKCqoIBLdt2XUDKJ2zSp9q+ZiqkhnLt3ph0PfrP3NKrhVAsPrTqfGu/2TCs4jTHeHfBtxrz/IrImAelxjCXg2pYMSUyjCKcZJB5fhoEt57qQPnPjpzkeFwgyLhBkVmkFyXSGoNNNkXfTb5jdZjVjC79LZcFXAQOHrQhDF1YywtgMB6bhy9rzHcAwXmK/cYczvaiMeDqNx+6irOgXpDPdpLDxwMqzCKeas+7rtfcdlSEiI0vAWc4Dq35MtWc7ZgV/gt1w0BL7jHuX/xCbzcFOJSdu0nGd9hJKvftQ6JqNRQLTKMCWh/XH8qXc6+fwidPZo7qWlJUh4HTjtNvzHZYMIV7nBEqsr9OVKSVlJXm9/QXaEkt7beO2b/wUxbWFxfxgmzl8ddLWGBjUBpV0HI5MsxCTQiYEzyJltWPDgdvxxbMNu+HEa9bQyoKs+7vtZdiM/IyydpnluMxy/M5ppK0Ypq0Ah33zO14YhonD8OQcERxw9B21uLFqA0WcvPVs9h07mYyVodLjx+N0kkiluPPEY3HY7RR6NHW2DF9KPoqIyKhU7iug/EtlAecUTMNPygr12T7cGWNm0ZEs7v5vn7q6yNtsEzxKiUeRAbTuzS6A0+Zjgn93Pgu90Gdbj72IgLnpN39jCoKbvO+XGYYNp71kwI4nMtS47KXUBo7j086/9qmzGS5K3DsAUNNrtI0PKKE72USJa1LW5KPPLMXnKN1CUYvIUFHt2Q674WR19B1WR9/pVbdd4ZG4zc1LXDg2IXkykgTdGhkjuRmGnWXht1kdfbdPXcBRvUnJRwCP08kEpzoQjQROM4iTYJ9ym2EyofA4VoYezLrflOCpOAcg4bc5nObAXkd67cVMDx7Ke+3/7lNnGi6qPNsM2GuNDwR7/ew0TUr9StvI8Ke/YsnJsta/jYjISOIxK9il6iYKzOlEM6uBDODCSBRgd0dIZkrYvfxHvNL0ZzKkP9/LYNuiYyl1Tc5j5CJDRzgZpTPViYGB1+6l0Nl7HZhQYgVgYWDic9Zs8HH9jjJ2LTuVUKqRptjHPeUee5BDay7Ha2hqU5HBsPbhU7X5LUxPGIsEAKZVSXu6g86UQdLq7tP2AQoc5exe/gOeXN1Ma3xJT7nXXswhNZcTVCcekWEvlGjEIgqWgcdeg2n2fuzksgc4uOZSnqy7sNdokrHenZgZPBK3XWtaiWyOhmgTDpsDpxHGII1h2PF93qkv4Kxir8qf8UTd+bQnlvfs4zfLOLjm1xTqPCz98JpjmVV6HZWebUlaHYCFnQBNoRBB98jr+OGy+5gVPJr2+HJWRr4Y8emweTmo+td487yecCgZpTvVhYWF3+4l4Bx5n4EMfyMi+VhXV8fZZ5/NE088QTQaZerUqdxyyy3suOOOAFiWxcUXX8zNN99Me3s7c+bM4frrr2frrbfOc+QiIjKUGIYdh72YFaF7Wdr1D+LpVopcs9iq+AeY6SoCrkomGHsw1rsjzbHFpElR4Z6OabgJODd/yg2R4a4h1sR/6p/lldY3SFtpZhdvxxHVB1HjqSKcrKM99hafdNxKNLWaAudktio6HZ+jFp9jw5KQhc4a9q86n0i6nbb4UvxmOYXOarxU4HTmZ5ofkVEpA5Z7Fe+3/om22Fs47UFqA18n6J7HhYtuZJvg1hxRfRDVnr7nxqBzDAdV/5pIqpW2+FIKHJUEHFUEXWPz8EZEZKCEEs0kM4183H79Ot8L/0eV74Be53mvGaSCrTh2/E20JZYRTXdQ5p6Ky1ZAwJl7CQQR6V9TrIUPuj5mvCdAipW833kLkeQq/I4JTC06jQLHZHzOGoLOsRxScxnhVAvt8eUEnNUUOCrVAUjWy2H3U+qZwCedN1EXepwMKSq9ezE5+B2MtA9G4EzPAWcV8yp+SizdRXN8MR57kCJnLR57AJeZv2RfQ7SJpxqf46WW10lZaWYXbctXag6mzF6i+2IZUoZ98rG9vZ3ddtuNvffemyeeeILy8nKWLFlCMBjs2eaqq67i6quv5m9/+xtTp07l0ksvZf/99+fjjz+moKBvj1wRERmduhN1fNx2NfWRp3vKWmKv07J6AXMq/0yACgoca9aVK3KNz1eYIkNSQ7SRKz76I03xlp6yF5pf5e329/ntNr+gLnQPSzpv76nriL/P6w2nsW3pr3EZRZjmhq21WOisoZAaqjwzB/w9iMiGCadX8Wr9d7BIARBNRfmw7Q+Uel7nrK1+wC8X/om329/noq1/QZWn76jkQmc1hc5qqrwDN12ViORXPL2SV+u/+6XvhWtoib7B1iXnUbBOYsNlrnloq04HIgOjOdbKY/VPM8ZTRDz5Lgs7buyp60x8wILGHzGz5JfU2A/BaQ+suZ521lDt3TaPUctwE04u57X604mkVvaUrQo9QmPkBXav/jtOJuQxui0n4KwiQBXlnq3yHQqwJvF45cfX0hBr6il7seU13u54n4u3Pptq1DFehg5bvgPYXFdeeSVjx47ltttuY+edd6a2tpZ9992XSZMmAWtGPf7hD3/gvPPO4+ijj2bmzJncfvvtRCIR7rrrrjxHLyIiQ0kq09kr8fiFDItar6I7sTJLnYgAvN2xsFfica3uVAgI81nnnT1lNtw9//1h29XEMn3XfxORoSmcXMUHbb/rSTCs255boq/itycJmgG6Ut080/QCkWQkX6GKyCDpTtSxqO23Pd8LTr5Yd6s5+jKJTN/rAxEZOPFMnKcbn2d2cBJLOm7pKV/3HP1R27Uk0m35CE9GiKbIq70Sj2slM50s7bqHeLozD1GNPgu7PuyVeFwrlArzZMOzhJPhPEQlkt2wH/n48MMPc+CBB3Lssccyf/58ampqOP300znllFMAWLp0KQ0NDRxwwAE9+7hcLubNm8crr7zC9773vazHjcfjxOPxnp+7urq27BsZQrTWoww3o7m9jlbt8QjtkRjN0QjpTIYKn5+Aw0mZf9PWiGlP1BNPh4mmo+xcdR+pTDMLm88lkWnv2SaU/IzMOuvSyKZRex2Z2uLtLGh/O2tdwCwgklqJ1xzLjNKLsQwPsXQIr72QVLqJ91vOIZEZmBvV9miU9liUpsiaG65yn49Ch4sSn29Ajj/aqL3KWg2hbroTCRrDITymyRjfdUwvqseyuQmlOnDa3DgMgyUdf6Ql8grbFW3D880v81b7e+xbvgdex4aNbJZNp/Yq+WQRpzP+CTuVP0M4CY3hED6HkyKPG8uaT3PkJUrc2+U7zCFD7VXWpzvZRizdRTjVhttegMceoNCZe33zVdHV2LGTyLTgNsuZUXIJhq2AaLp7zTV3poWPmi+jI1ZIXXcLTeEQAZeLQpeb2mDRIL6z4UftdY1YspmGyDM56xsjLzAhcBwue+EgRjV0RFJdn7fZdjKkKTBLcdq8+B3FG32sUCJBSyRMYySMz+FggtdPSypJVzxGRyzGGO8MLpt2Gb//9Le0pTp67ftWx/scWLkPPsfQuP9NpdM0RsI0RcI9z+7KvT5c5rBPSckGGvaf9GeffcYNN9zAmWeeyS9/+UveeOMNfvzjH+NyuTjxxBNpaGgAoKKi90m6oqKC5cuXZzskAFdccQUXX3zxFo19qDOMfEcgsmHUXkeXpnCYtxrq+MVzT9H1+U2Ay25y9i67c8DEyYwJbNzFblt8FY/UXUlj7NOesvG+7div6nYW1H+TZE9SxMAYiYsYDDK115HJtNlx21xZ61KZJA4jyKzyP/Lo6t/TFFvSU1fr24F9K/+OzYhn3XdjrO7q4pXVK7nwhWcIJ5MA+BwOLtpjH+bWjKMmkL81OYYrtVcBWNnVyW3vvcXt771N+vNeiuVeH9cduB8fx/5EQ+wjAArMMr4y5lwyqVXE08sAcNlc2HTuHBRqr5JPBjZ2LHuKa998g3s++IDM598VNQUF3HjQYYzxqwPfutRepT8diQaebvgzS0MLesrKXBM4Ysy5lOSYqthlc5Ehg2n42bb8Bh5ffQ0NscU99eO927F7yd+57OWXeHzJF+UTg0XccNDhbFVStuXe0DCn9rqGYZjYDU/OetPwMAImWNwkXckWGqIf88Tqa4hn1nSCNQ0ne5afxOSCuQT76TjwZS2RMH9c8Br/WPQuGcvig2+fxupYlB8+9SgftX4xi8Be42r59Z6/5IpPLqMj9UVHXrfNiY2h8UA/lkzySt1Kzvjv472e3Z2/+zyOmDKNgMu9niPISDDsvxUymQw77LADl19+Odtvvz3f+973OOWUU7jhhht6bWd8KZNmWVafsnWde+65dHZ29vxbuXL0TLWnpKMMN6O5vY5GLdEwP3jy0Z6LF4B4OsWvX36ezzra+9mzr/b4ah5edUWvxCPA8vA7zG+8neklF/SUlXnmYrMNjd5jw5na68gUcATYt3zPrHWRTAy7vYxH6q7qlXgEWBZ+ixeb/4HN2Pwe1w2REGc985+exCNAOJnk588+SWM4tNnHH43UXgXgueWfceu7b/UkHgGaImG+/ejjzCw4qaesO9XMv1ZcgNc1jdfb/gfAvhV7UuHRA83BoPYq+WRSxoOLP+KuRYt6Eo8Add3dfOPhB+hMjs6RMLmovUou0WQXLzTd1ivxCNAcX8qDKy+lI9GQdb8KdxkOmwObrbhP4hHAaSviprff7JV4BPiso51vP/oASzs0HWsuaq9ruMwixgeOyVk/LvBV/M5xgxjR0BFNdfLQqst7Eo8AKSvBs403056o2+DjpDMZ7v/4A+5Y+E7PubQpEed7/3m4V+IR4PkVy/jt6y9x5uSf9irfp3wPKrOst54PK7u7OOXxB/s8u/vV/Gf4oEXLrowWwz75WFVVxYwZM3qVTZ8+nRUrVgBQWblmkdW1IyDXampq6jMacl0ul4tAINDr32ij6VdluFB7HT1CiTD3fvB+rweg6/rz/15nVdeGT98Yz4Roin+Wte7T0Ot4zFoAXPYyti45C79DC3dvLrXXkWust5o5xTv2KZ9RsBXRTIjm+LKs+33S/SqJTGyzXrslEuGWd/6Xs/7md96kObT5CcjuRDftiY3r5DCcqb2OHu2JdroT3X3Kl3W0c8NbC7LsAZFkkncbuil11faUxTMh6qOLmVIwkRmBrdimcPqWClm+RO1V8qk5GuUv77yTta4zHuP9psbBDWiIU3uVXMKZDj7ueilrXWtiBeFU9utQr83HDyafTCwT6ZN4BBjj3od7P/gw676rQ92sGqVTiW6I0dZeU6kUHYl2oqm+6wb6HROp9h3Up7zYtQMV3uwdUQdTKpMmkoqTtjKD9prxdJR3Oh7HIvtrvt5yL52JvuszZtMUCfe67n5874NpiUZY0p69c8Djny6GjLPn56n+SexQtO1GRL/lpNJp7lr0Xs5nd39c8Cqdsc17BiDDw7CfdnW33Xbj448/7lW2ePFixo8fD8CECROorKzk6aefZvvttwcgkUgwf/58rrzyykGPV0RENl5LrInWRCP1kUY+ac/94H95VyeJdHqDjxvKcfO2hkXSSrBNyfmUenbG7xy/ERGLjD7l7jKOG3c0+1fMY37zK6StNLuXzmGMp5r2RN+HIGtZZIhnIpv12pFkgmWdHTnrl3d2EE4l2dTxVy2xRhridbza8iwJK862hXPYqmAmZW51SJDhrTnWwCehRbzT8Tqm4WBu6T5UusZQ6l7TSTNjWdSH+iYl11rSFmJWoJiWdToXNMeXc3Lt8bjsLircGvUoMhokMhnaY7mnVv2kvSVnnYh8IZmJ5kxiAISS2dtS0FXAZGsinaklWevTaRvxdCrncZd3drDHxoUqI1BTbDXvdrzBx90L8ZsF7F66P0XOUkpc5QD4HGOYVvQjxgeOZWX3Q2SsJGP8h+B3TsTnyD4l8GCIpOKsjrbx7xWvsiLSyrbB8RxSvQNVniJM25ad/j+RidAezz26sT1RT9pKbNix0ule59Jx48bxXP2qnNunLYtwMsnckp2YW7ozNZ6qIXPtncik+bgt97l/WWcHsXQKzYsw8g375ONPf/pT5s6dy+WXX87XvvY13njjDW6++WZuvvlmYM10q2eccQaXX345U6ZMYcqUKVx++eV4vV6OP/74PEcvIiLr0xJr4tmmR3i59b9MK9iOaSXb80qO66/JRcV4HI4NPnaBWZKzzsCGy15AjffYjQ1ZZNSqcJdR4S5j68JppNNp7PY1N3tpK3ei34Yd12ZOaRxwuphSXMKiluy9SqcWl1DgcmatW5/mWCOPrr6bdzpf7ylb3L2QclcVp078hRKQMmw1xxr4y2e/pTG+uqdsUddbzCrciSOqT6DMXYHNMBgXKGRFjlkFppcG6Er2bneV7smM843ZorGLyNDitNkp8/pojvQdKQMwo7R8kCMSGZ6cNi82TDJkTxQGnLnbUpG7kGQsmLXObkvhdTiIrLM8wbomFRVvdKwystRHV/KnTy8llPpiFOzbHa+xf8WR7Fq8NyXuzxOQzrH4GEupZ6de93v5kkgneanpQy58/59YrBll91bbZ9y17CVu2PkUZhRu2aSo2+ajzD2BFZF3s9aXuMZiGq4NOpbL3vtc+vHHHzOmpjrn9k6bHb/DyekTT8775/BlLrvJtmUVvLJqRdb6qcUleM0Nf3Ynw9ewn3Z1p5124oEHHuDuu+9m5syZXHLJJfzhD3/ghBNO6NnmF7/4BWeccQann346s2fPpq6ujqeeeoqCgoI8Ri4iIhsilO7i5db/ArC4+z0OnjIOZ47eaz+avQtV/g3/bnfZ/NR4ZmStmxaYt9kJEZHRbN0bILe9gCrPtKzbzSjcG5d989pa0OPhu9vuiC3LwtU2w+C72+1IiWfTXqM10dgr8bhWU7yeV1qfJZravFGbIvkQTcV4rfW5XonHtd7rXEDL52tK1QaL+MlOu2Y9RqHLzfRyD22JL3oE+exFlLsnbZmgRWTIKnG7+NHsvlOvA5R5fcwoHRojMUSGOp+9iJmF+2atq3RPwWvvf510p83HOO+sPuUrYk/zrW22ybrPxGAR1QUjeypR6V97vJWHV9/dK/G41tONDxLLZB/ZPhQSXq2JEJctuq8n8bhWPJPk1+//m7Z47hk8BoLD7mZW8EDsRvZE2tzS4wg4N+wcWOHzc8Y6191ffe15it1uts7Rgeer02YQdHuGxOfwZXabjWNnzMz57O6nO82lwLVhSVkZ3oZ98hHgsMMO4/333ycWi/Hhhx9yyimn9Ko3DIOLLrqI+vp6YrEY8+fPZ+bMmXmKVkRENsbb7a/2/HeGDK923sefD9mP6nWSjEGXm6v3PYgaf/abpngqTl2kkc9CK1kZaaA93vX5fpUcUv0zan079GxrYGN6YC/2KPsmXakkrfF2MoO4ZoDIUNUSb2NlpJ6loZWsjm7YuhVrBZ2VHFbzc8b7tuspM7AxI7A3c8tOoMCRexTyhirxebjp4CMo83p7ysq8Xm486AjKfJuWeExlUrzeNj9n/ZttL9Gd2vB1ZkWGiu5kO2+2Z19TqtI9hlg6xcpwPSvC9cwdW835u83Du87MApOKirnjiMN4r+uWnrIyVy3Hjr+MYlfNFo9fRAZX72uAvus3hjJd7DimkB/vtBMu+xcTbE0vKePOI46kKZl9rTkR6c1t+tm17Di2LtwXY51HtuO8szi85hwKneU0RJtZFl7F8vBqmmK9pzUMOis4qPoMJvp36ikzsGG3wbEzpvCNmVvjsH1x3B0qqvjLIUcyvjC4xd+bDF0JK8aHXe/krO+vLt9WRlqJZ7KPFF4WbqIzueU7ivptRXx17MUUmKU9ZW57AYdW/5yCfkYrf5lhGBw0aQo/3Xluz7m0yGbn+gMPY9eaL0Zw2g2DY6Ztzek77EzKFmJ1tIHOZPZ1WzsT3ayKNPBZaCV10Uai6dxTpA+0MQWF3PmVY/o8u/vTgYcxuVijrUeLYT/tqoiIjGwpq/eF5JLwQiLpTi7b/3AcVhF+s4iAy0uZx5u151RjrIV3Oz7inhWP0Z7swm7Y2LVkB04YdxiVnjKKXNUcWPVjEpkI8UwEt82P0/DyyZLV/K7reoKOQv5v3FHsGNwWv0MjIWV0Wh1t5G9LH+B/7QvJYFHmKuZbtUcyxT+ecnfp+g8AFDmrOajqjF5tzWXzUeDcsP3Xp8oXoGisl38e9X90xGJYWBS5PVT5C3Cbm3bJm7YypK3c6+OkSWFZOatFhizLsEhbfddI3i64K5P9O/OXzx6hPtaMgcGs4FZ8d+rX2G/CiTRHwjjtdgJOF5U+k5rCs4mmuzANFy67jyJnVR7ejYhsSRtyDWBhcfOyCzl87Dd4dMrX6IoncNntGPYIDzf9ka0D2UdFikhfhc4K9ik/lTmlXyOW7sZl8+K2B0hbDhZ1fsJfPvsnyyNrZi7YqmACp0z8GtWuMjwODwBBZxUHVv6ErlQLHckW7IaTD7sWcf3SX7LtuN25Y9p+RBMWVd4KfKaLsUo8jnqWZfUZObiuLz+TGUpSmb7Xs+tKD8LNmsdZSI0xk/8b/xti6RAZ0njsAXz2Ylymd/0HWEeJx8v3t9+Jo7eaQXssSkMyQZnHy1X7HEgokSCcSBBwuyhwOnl5+Yvc1/0QAGM9NXx34jeY4BuHw7amw2BjrIX7Vz3F881vkMgkKTB9fKV6X3Yv25GKDbyH3xxOu52dq8fwwFePozUWJZ2xKPF4KPf5MW0jYjycbAAlH6UPPUQTkaFku+DOvNTyVK+y+thKHoz9mZmBHTlmzMkUubJPP5NKpXi/czE3LLm7pyxtZXip5U1WRxv5+VbfodJTRqGzAoCORCdXfXQdSyNfzEvfkezkxiV/4/RJJ7N76RyMLNM6ioxk9dEmfr3oehrjrT1lzfE2fvfxrfxy+vc3OPkI9LS1LcVtmkwI9j8d1cZw2Z3sWLQb73a8kbV+m8LZeEx1SpDhx2cPsE3hbF5pfaanLGAG2bpwd37z4a09D6AsLN7t+IgLFv2RS2f+hNmFvUc1utEyFiIjWX20iUs++DMN64yuynYNYBpOJvq24pGGO4E7+xzna2O/M1ghi4wIHkcAD71n9VkaXsVFi64jtU7noY+7l3LBwmu5atbPqfk8+QhQ4CyhKxXi5s/+1OsY/+t4jv91PEeNZzwnl/2UUndwi74PGR6cNhcTfVvxWfjjrPUzAtsNbkAbYbyvFLthI51ltqoKdyGFjo1L/m0qh8NBEQMz+4fLNBkbKGRsoLCnbN073KZYC798/wLC6S9Gda6M1vHrD37HFducz1hvNY2xVm5eci9vdXzQs013KsydKx4mYSU5tGpvAoPUub7CX0DFRiyPJCOL0swiIjKkFTlKmV6wbZ9yl83DodVfo8iVe7qGpmQbd694NGvdZ+GVtCTae5W1xFt7JR7XdfeK+2hPdGx44CIjxLLw6l6Jx3XdufxhGqLNgxzR4Kp2j2O8d3Kfcp9ZwD7lhxFwaI0cGX78Dj97lR9CgfnFQ42divfmwbrnsvZ8b090sqjz08EMUUSGgGXh1b0Sj+ta9xqg1F3GkTXfxJFlzavtg7vgs+tcKbI52uNd3L/yyV6Jx7Ui6Sjzm98gkU70KnfZPMwt6bt+pN2wc3TNtyh1b9lOgTJ8FLvKOLLmGzm+w3fFa/fnIaoNU+T0c+rk/fuU2zA4d+ujKXOPrPNPxsrwWuuCXonHtdJWmgfrHiOWjhNJRXolHtf18Opn6Upu2bUwRdYaMiMfY7EYbrc732EIoEE9IjKUlLorOGbMt/mo+31ebn2aWDrC1IJt2LvsEAJm/+vExTMJ2hK512P7pHs5Mwun9vz8WXh5zm3bk53EMvGNfwMiw9zCzsU561ZEVmd9CDKSlLkrOXH8D3m/601ea32eRCbO1oEd2KPsACrc1fkOT2STVbir+fGUC3ip5b+83/kmY7yT+GT5yzm3f6/zY/av3G0QIxSRfNuYa4ASZxlnbnUpzzQ+ypLQh/jMAvYsO5BJ/umUujZ8zSsR6SuajvJxaFnO+g+6lhBKhSm2O3vKSt3l7Ft+BJP9M5jf/DhdyU7G+yazf8VXKLBrvTXprcgs//w7/BGWhD4aNt/hXtPFkWN2ZlqghtuWPEd9rI1pgRpOnrQv431bfmrRwZbIJHivM3tSEeDj7iWk0knqYk05t4ml40TSsS0RnkgfeU0+ZjIZLrvsMm688UYaGxtZvHgxEydO5Pzzz6e2tpbvfEdTc4iIyJoE5O7uCrYqmEnGsvCYvg0abeQwTEzDzLlGQYkr2OvnYmfu6RpNw8RhDJk+OyKDpsyd++GEz+7BNgp6LZW6K9jbfShbF+yIhYXfDODTGrAyApS7qzmw4mh2L9mfDHaKnAGa421Zty3rZ6YBERmZNuYawO8I4HcEOLzqeBKZCIZhp0wjq0QGhGmzU+TIfY4uchbiWifxuFapu5xSdznjvJOxSOM0PAS/dA8sAhBwBQgQ4CvVJxDLRLBhHzajYwudXuaUTmFG4Rji6SRe04XXdOU7rC3CNExKnLnPzUFHAAwImv1Pc+qy9f2+ENkS8jrt6qWXXsrf/vY3rrrqKpzOL/7ot9lmG/7617/mMTIRERmKytyVVHiqNniaQ7/pY8+y2Vnr3DYXk3zjepWN943Fbct+kbp76RxNryij0o5FW2M3sl8yHlS5B8XOwqx1I1G5Z813kBKPMpL4HH7KPVWUOoo5tGqvrNsYGOxZttPgBiYieTe7aOZGXwMEXUHKPdVKPIoMoHJ3KV+p6TuF6lqHVu2Jr591yMvc5ZS7q5R4lPUKOIOUu6uHTeJxXQUOD6XuwIhNPAKYNpODKvfJWX9kzcH4HX6KXUGKctynb1s4Da+p2SdlcOQ1+fj3v/+dm2++mRNOOAG73d5TPmvWLD766KM8RiYiIsNNONlNc2w1zbHVxD6f/z7oLODYsQcx1V/ba1u33cW5079H0Nl77YJiZ5Bzp5/RJwE52TeRY8YckbU3qchI0BpvoDm2mvZE3/UbfTYPP9/qO31G/m5XOJ39K3fDbdeNi0i+RZKRnnNgOBnapGOYpskuJduyS/F2vcrtho0fTfkGfrtnACIVkeHEa3Pz862+q2sAkUHSHF9Nc6yOzkTfEY6T/GM5qHKPXmU2DE4cfyTFjuAgRSiy6WLpGM2x1TTF6ginuvIdzkaJp6N0JlrpTnbkOxQq3GWcVHscBr1nIDqoch+mFkwGoNpTzrnTTiVg9n7mNcZTwamTvq4ZTWTQ5HX+uLq6OiZPntynPJPJkEwm8xCRiIgMR02x1bzU8hgLO9/AbtjYLrg7c0r2p9RVSaW7jJ9O/TbtyU6WhFZQ7CxkvK+GoMPfp3eo3bAzyV/LVdtexMpIHe2JTmp9YylxFhN0atSjjDxtiUaWhxfzfNPDdCZbqPLUckDF1wg6yyhyrlkjo9gdZCvbBK7Z7lw+Da+kOxliq4IJFJg+Ktwjbx0NkeGmJd7Aay1P8U7Hy1hk2KZwDruVHkLZJqxJWuEu5aTaozhm7IF82LUEn+llin88HpuLEnfuqclFZGQqdgeZYqT4zawz+Cy8gu5khMn+cZS6ivGrU57IgGmLN/FB15u82vok4VQXE3wz2K/iGArNYvyfj16qcJdxZM1+HFi5Bx92fYppmEwLTMRjc1LqLsnzOxDpX2u8gddbn+HtjhdJW2m2Dsxmz7LDN+l6dTClMkla4vU83fgvloQW4jMDzCs7gumBHSnIU9Lfa3qZV7Yr2wa35tPupaSsFFMKJhF0FPR6xjXeVc3ls86kLtJIY6yFWl8Npa5iqjxleYlbRqe8Jh+33nprXnzxRcaPH9+r/F//+hfbb799nqISEZHhpDm2mhuXXEgo1dFTNr/5YRZ1LuDkiedS6qqi0lNKpaeU6YFJ6z2e3bBT5iqhzKUbOBnZ2hPNvNz8BC+2PNZTtiS0kBtDizhh/Jn4jUIcDgcAQWchQWchNd7KfIUrIlm0xOv562eX0ZZo7Cl7pfVJFna+wfcmX0SZaxMSkJ5SKoBJ/nHr3VZERrbWeCP3rbqJT0PvU+goxmlzs6CtGTA4bfKv8WlJApHN1hpv5KG6W/mo+62eskVdb/BR91t8f9LFPclHoKfjX62vZtDjFNlULfEGblt6Bc3x1T1lr7f9l4Vdb3D6pEuGdAKyIbaC6z/9FWkrBUAkHeLfq25kZuEcjh5zKn4zP+dBt91Npd1Npbs85zZOp5MaKqjxDL8pdGXkyOu0qxdeeCE//OEPufLKK8lkMtx///2ccsopXH755VxwwQX5DG1Us6x8RyAismEiyQivt/63V+JxrZZEPYu73xv8oESGiXg6xkstT/Qpt7B4ZPVtdGT6TsEqIkPLB13/65V4XKsr1c6bbc8TS8fyEJWIjBQdyRY+Db0PQGeyjeb4alJWkpSV4In6O7NO1y4iG6c71dEr8bhW2krx6OrbaYv3Pc+LDCefht7vlXhcK5zq4tXWp4hu4pIBW1o41c1Ddbf2JB7XtbDzdToTLXmISmR4yevIx8MPP5x7772Xyy+/HMMwuOCCC9hhhx145JFH2H///fMZmgCGsf5tREQ2VHu8nUgmSneyG6fNic/upWIze2CF0x180LUgZ/17Ha8wI7AjQaemhhT5sobYCiwyWes6k209a6cOVy3xFiKpCJF0FJ/pw2N3U+rSd4GMHO3xZhZ2vp6zflHnAnYq3peWeCuhVAi33Y3X7qG8nx7SIjJ69Lk2N31UfOn74YPO3NfZn4YWkswktnSYIiPeR11v56xbHllMLB3n09AS/KafEntxz8wkIvkQS8XoSHbQnQqRIUPADOC3+ylw+rNu35Vs572OV3Meb1HXAnYtOQCPI/v++RRLR1geWZyz/uPud6nxThzEiESGn7wmHwEOPPBADjzwwHyHISIiW1BzrJlH65/gheYXyXye7KhyV3L6pO8zzjd2k49rGAamLfd6Mw6bE7uR91OdyJDk6KftANiwD1IkA68x1shfP7uNxaFPespmFc7km+NPUOJFRgy7Ycc0cj+AdNicfNL9KTd9dhsWa6Y2Gecdy/cnnUqNZ+hObyUiW15zrJnH6p9g/jrX5pXuCn4w6fuM830x5bLD5s55DLthYqAeyyKby2Vz5ayzYaM+1sC1n95E0BHkexO/y1j3GApcBYMYocga7bF2lkWXc8vS2+hOrRmt6La5+fq4Y9kmsA1lWdYetWHr977TYTgx8jsxY06GYWDD1nOe/DJXP+dIEVljaLZuGRI0/aqIDIRYOsaLLS/zfPP8Xhdt9bEGfrf4auqjDZt87FJXFTsX75Ozfk7J/nlbBFxkqCtzVeMwst8IVntqcds9gxzRwGiKNXPzZ7f0SjwCvNe5kLtW3EtLvDVPkYkMrICzmDkl++Ws37Fobx6rf6on8QiwIrKSPyy+jsaYpnATGa1i6RgvtbzCc1+6Nm+INfK7xdf0ujbfpnBOzuNsWzgXt827RWMVGQ2mBXbIWTc9MJv3Oj8AoCPZwdWL/0h3pnuwQhPppTsT4tpPru9JPALEMjFuX3YHzYmmrPv4HYXMKc59vbpzyT4EzaE5O43PXsDW/ZwHpxZsO4jRiAxPeU0+FhUVUVxc3OdfSUkJNTU1zJs3j9tuuy2fIY5Kmm5VRAZSe6KDpxufyVrXmexidbTv3P8bY3pgNuO8U/uUzwjMpso9frOOPVKk091kMsl8hzEkZawEmVE6ZZjb5uXYsaf36Wnqtnn56pjvUeKq3CKva1lpMpkY1hbq5RRNR/g0tCRr3Tsd7xJLR7fI64rkwxjPRKYVbN+nfIJvBqYtwMroqj51TfEm2hLtgxHesJTJZD4/b6bzHcqQtebcGc93GLKJ2hMdPNX436x1X74299h97FN+dJ/tihxl7FvxVQqcwazHWXOe77tGlgyOtddaMjy4bF4OrPi/PuWFjmJmFx/Iq61v9JQlrSSvt725Qce1rMwWveaW0SWWjvNc0/ycowAfWf0YrTk6eVa4xzAzsHOf8rHeyWwd2AnTHJqzVbnsHg6pOoGAWdyn7rDqEykwg4MflMgwk9fWfcEFF3DZZZdx8MEHs/POO2NZFgsWLOA///kPP/jBD1i6dCmnnXYaqVSKU045JZ+hiojIJkpZSSL9rB1XF1vNjuTu7bk+Ja4K/m/sj6iPLeftjhewYWen4r0pdVVT4tq8NSWHs0wmQyq9lO7oE0Tjr2K3VxH0fxOHbQym2Xc6lNEmlW4invyQjtDfwcpQ6D8et2MWpjl6/mYCziImWNP4ydQrebPtOVoTjYzzTmGbwl0osPe9wdpcmUyUZHoVnaG7SKQW43HuRIHvSBz2MRgDOD1yVyp3b3ALi4iSjzKClLgqOaLmZObG63mz7TkyZNihaE9KnTWcv+jSnPs1xpqYHpg2iJEOfZlMnGR6BV3h+4gn38dhn0Ch/3gc9jHY7YF8hzckpFLNxFMf0RG6HctKUeg/DrdjWxzmlumsIltGcj3X5quidT3X5sWucnYq3pdpgR14vfW/RNMhpgV2YJJ/JmWuqr7HTq0iHHuWUPRJ7PYKinzfwmHWYrcXbrH3I19IZ7pJppbTEfo7qXQdPvc++DwH4DQ3fZkL2fKKXWVsX7QHUwq24Y22ZwiluhjvnU7QWc1fl95B/EudPVZFVpHKpDBt2a+fM5kYqfQqOsP3Ek9+gNu5PQHvV3GYYzD6ma5dpD/RdKTfjuONsSYSOTo8l7gqObT6m+xSsj8L2p8jbaXYLrgH1Z7xW6zD60ApcVXwgymX8Wn3eyzqWkDAUcSc4v0pdpXjtmv0v8j65DX5+NJLL3HppZfy/e9/v1f5TTfdxFNPPcV9993HrFmzuPbaa5V8FBEZpkzDgc/uI5wOZ62v8dRs9muUuispdVcyxb8tNhs4Nfc+idSHrGw+lkymo6esK3wX5cEr8Hu/gsMezFts+ZZMN9HYehbh+Be9/kOxJ3E751BdcsOoeoha6CqhkBIOrTyRhBXDY/q2yOtkrASR+IvUtZwMn/eWDceeo7X7OsaW3YfHtd2AvVbAzJ0kMDDw6iZRRphSVyWlrkom+qeTyYDbdLM6Wt/vSIcKrX3aRyz5Lquaj8Oy1nZQeI6O8O1Ul9yEz703NtvwnIp6oKTSzTR2nE0o+p+esnDsKdzOHakuuRmH2TcRJUOTYz3X5mO8va/NS1zllLjKqXFPJGUlcl4rJJJLWdF0FOnMF1PvdYXvobTwPIL+E7HbtEbdlpTJhOmKPEBT+zk9ZeHYc9i7rmFs+YO4HJPzGJ2sT7GrnGJXOVXuCYRTYf6x4m7eaH8o67bjvGNyJh4tK0U08Rqrmk8E1ow+Dseeo637z4wpuxeva6ct9RZkhPPavdR4qvmo++Os9ZXuCpw51nZMJFcR7Tqfas91fLVmGhYWRsqgof1IAqU34zTHZd1vqChylrJTyT5sX7QnNsOGzdAqdiIbKq+t5cknn2S//frO+7zvvvvy5JNPAnDIIYfw2WefDXZoIiIyQIqcQQ6ozD7Hf9ARpMYzcA+r3KZbiUcgmWqkqf28XonHtZo6fkUm0zL4QQ0hsfhbvRKPPeWJ1wnH5uchovyz2+1bLPEIkE43sbr1B/ClaXosK0p9249IpbOvEbIpvHYPU/zZH7BtH9wOzzBdy1JkfZw2N25zzTnQb/exZ9keWbercFdQ7CwazNCGvERyBQ1tZ6yTeFwrTUPbT0ml6/MS11ASS7zXK/H4Rfn/CMeezkNEsqmKnEEOrNw/a12ho5AaT3XWOofdkfNaIZ0J0dxxRa/E41otnZeRSmud2S0tlW6mqf2XfcrTmTaa2n9FOt2Zh6hkYznsDoKuILuUZF9nzmlzslPx7Jz7p9KNrG49nbWJx7UsK0Z96+mkUg3ZdxRZD5fdxd7l87Ab9qz1h1cfSokr++w58eQHhGNPUtc+leX1E1lRP4nlzROJJ98jFHmMTCb7VK5DjWkzlXgU2Uh5bTHFxcU88sgjfcofeeQRiovXfGGFw2EKCtRDTkRkuHLb3exWOpf9yvfpdaFa46nmrK3OoNI9ekaZDZZMpoNo4o0ctWliibcGNZ6hJJ0J0xG6NWd9R+hWUum2QYxodEim67Cs7CMskqklpAfwd17mLuOUid9hWsFWvcq3C27LceO+nvOmWGQkCTgDHFx5ALuV7orBFwu613rHc8aUH1HhHj1TTG+IjNVOMrUsR103yVGefMxkous5d95OKj26OzYNJ267m7mlu2a9Nv/5Vj/dpGvzTKadUOyJnPXh2PObEqpshGhiAV/u5LVWJP4C6YzW+h1OxvnG8X9jv9ZrJFmxs4ifTT2DoCOYc79UuilrB9Q1dXWkMrrPkU0XcAT4yZQf9pppxmP3cHLttyhzlmXdJ53upjN8Z85jdobvIZXJPZ2riAxveZ129fzzz+e0007jueeeY+edd8YwDN544w0ef/xxbrzxRgCefvpp5s2bl88wRx2tRS0iA63MVcphVYewT8XehJIhnHYnXrtX075tIRbpfuszmdggRTIUpbGsRM5ay4qT68GNbLr+fuew/r/ZjVXhLue7E04mmokSTUXxml68dg8lLq13KqNHmbuMY8d8lUOrDiaUDOO2u/HY3ZTr3NuHZfX/vb++77CRziLT7+8go3PnsLPm2vywXtfmPrt3k78fLCzo51zed1SxDLQ117D9URsdTspcpexWuivbBbelO9WN3bDjs/uo9PTfecj60ojHvtZXL5JboaOQqb4p/HL62YTTYTJWhoBZgN/ux+/059ir/2sIy4rDeq7DRGT4ymvy8ZRTTmHGjBn86U9/4v7778eyLKZNm8b8+fOZO3cuAD/72c/yGeKoZhjr30ZEZEMVuYooogg04+EWZzMKcJqTSaQ+zVrvGcVrfdhtAQK+r+YcGRrwHondpukIB5rDHMeay86+DzzsttIt8jsvc5cO+DFFhpsip869G8JuC2K3FZPOOiLE8fl32Ohlt/kI+I4lEn85a32B5yvYbRpVPtwUuQoponBAvh9sRgFu507EEguy1vvce23+i0i/PM7c1/cuxwxsttxrYsvQFHAECDgCVLHho5FNewUGLiz6JqNtRiF2mzriyebxODx4HBt+4rDbCynwHkEk/kLWer/nIEy7OsaJjFR5n6h4t9124+677+att97i7bff5u6772bu3Lk0NzfnOzQREZFhyekYS3nwUqDvegyF3uNH/U2nz70vDnNCn3LTXkXAdwxGjnUsZNOZtjJKC3+eta6i6DeYdk2/LCL5Y9rHUBa8OGtdSeCMUX/eBPC69sBp9l1P124rJ+j/Pwwjr/2aJc9MexEVRZdi4OxT5/ccjmmvyUNUo4tpr6DQe3y2GiqKrsC0q1PWaGDayikLnpe1rrzoMl1zS154XbvhNKf2Kbfbygj6v4XN5s5DVCIyGIbUHYJlWTzxxBP89a9/5bHHHiMeX9+0EbIlafpVERlMqyLNLA83sjLSxER/FdWeUsZ4s68bIOvndm7HuPJHaO26hljibUx7JUUFp+J1zcVhju6ehQ6zmrFl/6QzfC+d4XuADAHv0QT938Rhjsl3eAOmLtLC6mgLS0KrGeMto9ZX2adNZawMzfFOlobqaYi1MclfTbWnhBJX4YDGYrN5KfR9A5dja1q7fk8ytRKXY2tKC3+OyzEVw8h7fziRIWVlpImV4SZWRJp62q7OiVuOzebA59qLsWX309p1NfHkRzjMcRQX/BC3cztMezDfIeadw6xiTNk9dIX/SUf4LiBNgfdIgv6TcJhj8x2ebILV0RZa4p180LmcUlchWxWMxW+6KXJt2gg5p2Mrxlc+RWvXH4nEXsJuL6a44DR87r0x7RoZu6XZ7UFKg+fgde9OW/efSKWb8TjnUFr406yd7mRw1EdbaU90s7BzKQGHjxmB8fjsbkrcA3utvZbN5ibgPRanYyotnb8jmVqG07EVZYW/wOmYpk6WkhdOx3hqSm+nK/xPuiL/xiKF330wRQUn43SM7u+nxmgb0UyC9zqWkMyk2TY4CZ/ppsqjjm8yMgyJ5ONnn33Grbfeyu23304oFOLQQw/lnnvuyXdYo5amWxWRwfZJ9yrOffdm2pOhnrIKdxFXzDqF8T71ztwUdnsAj307Koqvwcp0YRhOHGZ1vsMaMhxmDSWBnxD0nYCFhWkvwTAc+Q5rwKwIN/LL9/5CfeyLKQQLHT5+s+2pTC1Y85DYsiyWhFZz1js3EEp9sRbTWG85v5l1KpWegX1QaNqL8Hv2we3cHsuKYzO82O2aAkzky5Z0r+ac926iLdHdU1bmCvKbWadS69c5cUsxzRJMswSn+ScyVgTDcOEwq/Id1pDiMKspDvyIQt9xWFjY7SXY/p+9uw6P4mrbAH6vu0R34wQvUqA4lAIFWqRonVJ317f+tVCBt0771g0ppUapC1agFIfiLiHu2Ww26/b9EQiE7AZLVpL7d1252syZmX12ydmZOc+RZnTtbEkK7OV4efc87K3Kqd0mE0owtcvNaA8B9DLNGZ9TKJBCJmkPY8yr8PosEAjEHG0XYmJRPLSqCVDKB8Hvd0MoVEMkDLYOGzW1Qns53tj7LbZUHqjdJhaI8HSn69AFmU2WgBSJdFCJLoJM0vXoPbcCIlHTvBbR6ZJKMhCrfQha1dUA/BCJEiASKsMdVlgV2cuxvGQrPjv8+9G1k2uMMvbBda1GMAFJzULYupk7HA7MmzcPQ4YMQadOnbBt2zYUFhZi1apVmDdvHiZOnBiu0IiIKITybaWYunN2ncQjABQ7THhlz9cotJeHKbLmQSKKhVTSionHAAQCEcRiAyRiY7NKPBbay/Ha3m/qJB4BwOy24vkds5Bnq5navtRpxlPbPq6TeARqRlzN3L+g3vbGIhbFQCI2MvFIFEC+rRQv7JpTJ/EIAKXOSkzfMw8FtrIwRdZyiMWJR6+bTDwGcuK1k4nH6GRyWTA/e2mdxCMAOH1uPL9zFizneP0XClWQiI1MPIaRWBRXc6/FxGPY2NwO/Fawtk7iEQA8fi9e2j0PFm/T3Gef6Pg9NxOPFBmEQgmkknRIJRktPvEIAOWuKnx6+Lc6iUcA+KNoA3ZXZYcpKqLGFZbk4z333IPk5GS89957uPLKK5Gfn49ffvkFAoEAQiGn3SIiakmq3DYUnZQkOWafJQdWjyPEERFFN5vXgd1VRwKWlTgrYT6a6C92VNRL+h+zqWIfKl2By4io6VR77MizlwYsO1RdAKuX10QiOjcWtw1LizcHLHP53GzwJGoEFW4LfilYG7DM5/dhbdnuEEdERJHE5nHgp7zVQcu/z12JAnbEp2YgLJm+jz/+GHfffTcWL16Me++9F3Fx5zaMeOrUqRAIBHV+jMbjUxL5/X5MnToVycnJUCgUGDJkCHbt2nWub+OM+P1+uF2ekL4mEVE0OFXvaqfPFaJIiJoHh9fdYLnFXVPnGkou+uGHy9fweYio8dm9DV/zHKcoJyI6FY/fC7cveNtEmbMydMEQNVN+v7/BWURKWc+IWjS7x4lyV1XQcpPLAp/fG8KIiJpGWJKPc+fOxYYNG5CUlISrr74av/76Kzyec0vMde7cGYWFhbU/O3bsqC179dVX8eabb+Ldd9/Fxo0bYTQaMWLECFgslgbO2LhmP/8dLtPeGLLXIyKKFokyHQQIvNisRCiGRszpOIjOhEasgFQYfCo8gzwGAJCmSgy6j0okh0qsaPTYiKhheqkawiDXRLFABK1EFeKIiKi5kQoltfcCgZynaxW6YIiaKZFQiNaq4Mte9NC3DWE0RBRpdGIVuunbBC3vpM2AUiQLYURETSMsycfJkydjyZIl2LlzJzp27Ih7770XSUlJ8Pl82L377KYeEIvFMBqNtT8JCQkAanobzZw5E8888wwmTZqELl26YM6cObDZbJg/f35jvq0G/TFreche61z5/afeh4iosShEMgxJ7B6wbGLKhUw+Ep0hrUSFSamDApZdlNCt9iEmRqpBv7hOAfe7odWliJNyTUaiUFOJ5Bhh7BWwbExyf2jE8hBHRETNTaoyAbdkjg5Y1kadDGMDiUkiOj3Jinjc1mZM0LLWaq4rTNSSicViDE3sEbC9SyIQ4dqM4YiVcb1Win5hXWCxVatWmDZtGo4cOYIvvvgCl19+OaZMmYLU1FQ88MADZ3SuAwcOIDk5GZmZmbjmmmtw+PBhAEBWVhaKiopwySWX1O4rk8kwePBgrFmzJuj5nE4nqqqq6vy0NILAna6JIg7ra3QzKGJxa+vRuCptCBRHkyIasRI3ZY7C+JSBiJFpwhwhNSbW16anl6pxWXJ/3Np6DLRHH2bkIimuSL0Id7S5DAZFLABAJ1HhkQ5XYlLqRZAdHSmpl6jxYPvLMdzYE2KhKGzvgSID62voJcj1uKHVpbgm/eLajgJqsQLXt7oEV6YNZiMEBcX6Smeiiy4TT543GYkyPYCakdXDEi/A851vQrIiPrzBtQCsry1DhtKIaV1urq1TQoEQF8Z3xYzzb0eKMiHM0dHpYn2lpmKUxuCN7veg+wkjodupU/Ba97sRJ1OHMTKixiMOdwAAIBAIMHLkSIwcORIVFRWYO3cuZs2addrH9+3bF3PnzkX79u1RXFyMl156CQMGDMCuXbtQVFQEADAYDHWOMRgMyM4OvpD6jBkzMG3atLN7Q4FwOCFRk2n0+kohl6SIw7UZwzAqqR/cPjekQgkS5FrIRRzh0dywvoZGkiIOE1MHYFB8V7h8bkhEEsRIVNCcNGVjnEyH29tchstTL4Lb74FcKEWcTAuhIKz90yhCsL6Gh1ERi2vTL8alxj5wH62/8RItlBJeEyk41lc6E0ZFLIyKWJynTYfT64FYKIJGrECsjLMehALra8tgVMTAqIhBK5URTq8bYqEISpEcCXJ2JIomrK/UVCQSCdpIkvGf866Bw+OCDz4oRDIkKeLCHRpRoxH4/ZGfFdNqtdi6dStat259WvtbrVa0adMGjz/+OPr164eBAweioKAASUnHpzW4/fbbkZubiz///DPgOZxOJ5xOZ+3vVVVVSEtLg9lshlZ75jfkV6XeBXOZBYscX57xsaH28c9r8fHPa/HOQxMxoEtmuMNptn45fD4AYGzr7WGOJPo1dn0loqbD+koUPVhfiaIH6ytR9GB9JYoerK9ERGcvIkY+nsqZ5kdVKhW6du2KAwcOYMKECQCAoqKiOsnHkpKSeqMhTySTySCTNeLCrlE4h2nkp6WJajR6fSWiJsP6ShQ9WF+JogfrK1H0YH0lih6sr0REZ69ZzqnldDqxZ88eJCUlITMzE0ajEUuWLKktd7lcWLlyJQYMGBC6oKIokxeFeVIiIiIiIiIiIiIiIiKKAFEx8vFUHnvsMYwdOxbp6ekoKSnBSy+9hKqqKtx4440QCAR46KGHMH36dLRr1w7t2rXD9OnToVQqMXny5HCHTkRERERERERERERERNRsNIvkY15eHq699lqUlZUhISEB/fr1w7p165CRkQEAePzxx2G323HPPffAZDKhb9++WLx4MTQaTZgjJyIiIiIiIiIiIiIiImo+oiL5KDjFPKBff/31KY+fOnUqpk6d2ohRERFFP4/Hg1y7GW6fFxKhCPFyFTQSebjDIqIIVG6vhtnjgMfng1wkRro6NtwhETULTo8HBSdci41KDRQiabjDIqIIc8RSDpfPC7FQiBipAjEyVbhDImrRyh1WmN0OeHxeyERiZPDemKjZyq6ugNPrgVgogk4iR5yc12Ci0xEVyUd/FK2X2Bzw4yZqGXKtJqwpzsK7e/9Gsd0CjUSGya174arMHkhTxYQ7PCKKINnVFXh/zyr8mrcLbp8X7bQJeKLrcLTTJiBJqQt3eERRK6/ahMUFe/HJ/rUod1oRI1XgxrZ9MS69K1JV+nCHR0QRINdqwo6KAryxazlyrSYoRBJMyuiGW9r34z07UZjkVFfgw72r8XPuDrh8XrTRxOM/XYahgy4RKbx+EzUb+dZK7DUX47Wdy3DYUg6ZUIxx6V1wZ4cLka7mNZjoVIThemG3243WrVtj9+7dp9z3jz/+QEpKSgiiIiJqGSxuBxbl7cH/bfkNxXbL0W1OfLRvNV7bsRT51ZXhDZCIIkZOdQXuWvMNfsjZDrfPCwA4UFWK21d/hSxLeZijI4pepY5qfJX1L/67YynKnVYAgMllx8zdK/DRvtUosprDHCERRYJ/y3Px0IaFyLWaAAB2rxtfHt6EJzb+hNxqU5ijI2p5cqpNuH/dAizI3grX0XvjQ5Yy3LX2G+yvKg1zdETUmPaZS3D32m9x+Ohzr9PnwXdHtuL+dQuQU10R5uiIIl/Yko8SiQROp/OUU6oCwIUXXgiZTBaCqIiIWoYyhxXv7/0nYNmf+XtR7XWGOCIiilQHq8pwyFJWb7sfwGs7lyHHyoZPorNhcTsw5+D6gGULjmxBtdcV4oiIKNIcsZTjzZ3LA5ZtKs9F2dGOC0QUOrlWE/aYiwOWvbpjKbKZkCBqFrKrK/DazmUBy/aYi5DHjoJEpxS25CMA3H///XjllVfg8XjCGQYFcRp5YSKKUma3HdWe4AnGwxzNRERHrS45HLRsV2URPEd7fBPRmTE5bbUjJk7m9ftR5qgOcUREFGlsXjcK7VVBy7dW5IUwGiICgHWlR4KWHbKUBb22E1F0cXo9ATvhHrO+ge8CIqoR1jUf169fj2XLlmHx4sXo2rUrVKq6i7UuXLgwTJERwLUfiZozhVDSYLleqghRJEQU6RLk6qBlKrEUQrC3EtHZkIkavhYrxNIQRUJEkUoqFEEsEMLj9wUsj2/gGk1ETaOhe2O5SAyxIKzjPIiokUiEIsiEYjh9gQdNNfRdQEQ1wnpF1Ov1uPzyy3HppZciOTkZOp2uzg+FB0c8EjV/KokMveLSApbFSJUwKrQhjoiIItWwpPZBE4xXturBhk+is6SVyNFOmxCwLFWph04iD3FERBRpdBIFRiR3CFgmF4nRRW8McURENCAxM2iCcXz6+YhhR16iZkEvUWB8eteAZWKBEP0TM0McEVH0CevIx1mzZoXz5YmIWqxUlR4vXnAZbls9H/m24/PUq8RSvN//KhjkTD4SUQ2NWIpXeo/Dk5t+hveEaRG6x6bg+ra9oZZwXW6is5GujsEbvSfi1tXzUXrCFKt6qQLv9LscrTRxYYyOiCJBgkKNR7pcjANVZThoKa3dLhWK8G6/K6EV8RpMFGoasRxv9JmIRzf8UGdUcme9Ebd3GAC9TBnG6IioscTIlbijw0DsqizErsqi2u1igRBv9pkEtZjXYKJTCWvyEQA8Hg9WrFiBQ4cOYfLkydBoNCgoKIBWq4VazZ70RERNpY02HrMHTcHBqlJsryhApiYO58cmI1GhhlLc8FRwRNRyGFV69BMK8evwO7G6JAsVThv6J7ZCklKHNFVMuMMjimod9QZ8edEN2GsuwZ7KIrTTJaCzPgmp7AREREdlqGPxwYCrkFNdgc3leUhSaNE7Ph16iRyxCraZEIWaQanBBUjDLyPuxLqSIyh1VKNvQgZSlDqk896YqFlJV8fg7b6XI99mxvrSbCTI1eiX0Ao6qQzxck24wyOKeGFNPmZnZ2PkyJHIycmB0+nEiBEjoNFo8Oqrr8LhcODDDz8MZ3hERM1ehjoWGepYDAsynRMREQAYFFoYFECbIFNEEtHZa6WJQytNHEamnhfuUIgoQh27Zx9kbBvuUIgINQlIAzRoo4kPdyhE1MTS1bFIV8dymlWisxDWNR8ffPBB9OrVCyaTCQrF8TnRJ06ciGXLloUxspbthBnVqAl5/QI4fGEffExERERERERERERERNRowpr5+Oeff7B69WpIpdI62zMyMpCfnx+mqIhCY5W5PQpcMbiSnVeJiIiIiIiIiIiIiKiZCOvIR5/PB6/XW297Xl4eNBrOm0zNW4GLawEQEREREREREREREVHzEtbk44gRIzBz5sza3wUCAaqrq/H8889j9OjR4QuMiIiIiIiIiIiIiIiIiM5YWKddfeuttzB06FB06tQJDocDkydPxoEDBxAfH4+vvvoqnKERAD8XfyQiIiIiIiIiIiIiIqIzENbkY3JyMrZu3YqvvvoK//77L3w+H2699VZcd911UCgU4QytRRMIwh0BERERERERERERERERRaOwJh9tNhuUSiVuueUW3HLLLeEMhQIQMAvZ4thtP0Mq6wWRKDncoRARERERERERERERURQK65qPiYmJmDJlChYtWgSfzxfOUJoeE3kUBUymu1BeNiXcYRARERERERERERERUZQK68jHuXPn4quvvsLEiROh1Wpx9dVXY8qUKejdu3c4w2oaXD+RooTPVxnuEOgUKuw2mF0OeP0+yEQipGliwh0SEUUJp8eDAmsVvH4fREIh0pRaiMVhvR0kapYKq6tg87ohAKAQS5Ck0oY7JCIKoewqE9w+L0QCAeIVKmik8nCHREQATHYbTC47fH4/pCIx0jX6cIdERM1EibUK1V4P/H4/5CIxUtS60zrO6nLBbHfA7/dDI5dDK5c1caREoRPW1qZJkyZh0qRJsFgsWLBgAb766isMGDAAmZmZmDJlCp577rlwhkfUQjFRHsmyLSZ8tGsdfsjaCYfXgy6xRjzVYygy1TFI0pzejQ0RtUy5lkr8mbsPn+xZj1K7FUlKDe7u3B9Dk9sglQ0vRI3C7nbjSHUF/vvvcqwqzIJAIMDQ5LZ4vMdgtFLqIJVKwx0iETWh3CoTdpiK8ca2lThcVQGtVI7r2nXHtW17II3XWqKwyraY8MGutfgxaxecXg/Oj0vCUz2GopUqFkaNJtzhEVEUO2guwxtb/8aSvP3w+v0YYMzAUz0uRppKD508eAekHFMl3lyxGov2HIDX78fAzHQ8OXww2sTHQiwM64SVRI0iIv6KNRoNbr75ZixevBjbtm2DSqXCtGnTwh1Wi8VBmkSRKbvKhLtXLsRXB7fC4fUAAHZWFGHKsq9wxGoKc3REFMmKqi34bM9GTP/3L5TarQCAQpsFz21cjK8PbUOZrTrMERI1D/k2M65e/CX+LsyCH4DP78ey/AO4ZsmXyLOznhE1Zx6PBxtK83Dvqh9wuKoCAFDlcuCDXevw3IZFyKmqDG+ARC3YkSoT7lz5Pb45uA3Oo8/S28sLcd2yr5Bt47M0EZ29rKoKXLtkPv7M3Qfv0Ub1NUXZuGrxPBQ7LEGPyzdX4dq53+L33ftrj1udlYOrZn+FXJM5JLETNbWISD46HA58++23mDBhAi644AKUl5fjscceC3dYjYtrPlLUYPY5Uh22lGNPZUm97X4AM/5dzgYNIgqq2uPEvAObA5Z9sns9zG5HiCMian4qHXZ8sW8zLG5nvTKT044fsnbA7nKFITIiCoVcaxVe3boiYNmKwsOodNtDGxAR1TpkLsO+ytJ6231+P/67ZTlyLZWhD4qIop7H48Hi3P0oc1jrldm9bny0ax3K7PXL/H4//tp/CKXVAY5ze/Dpuk1wuD1NEjNRKIU1+bh48WLceOONMBgMuOuuu5CYmIhFixYhJycHr7zySjhDI2rBfOEOgIL4p/BI0LIdFUVw+72hC4aIokqpw1rbm/JkLp8XFU42iBKdq0qXHWuKs4OW/1N4BOUOWwgjIqJQsnpcKGlghPP2ssIQRkNEJ1pZeDho2dayArh9fJYmojNX4bLj7wa+X9aX5KAqQEdfu9uDpfsPBT1u9eFsVDnYQZiiX1jXfJwwYQLGjBmDOXPmYMyYMZBIJOEMh4goosXJlUHLlGJJZAxlJ6KIpBA1fI8lF4X1lpCoWRALhdBLFUHL9TIFZKxrRM2WVCSCAMHnkWnoXp6ImlZD9U8tkULA2cqI6CzIRZIG7/91UgVEgvqtdWKhELHKBo5TyCEWiRolRqJwCmtbdVFREb777jtMmDCh+Sceo2ghRd5ztXT8A4hUw1PbBf3XuaL1+YiVsUGDiALTyeRIUWkDlrXRxkErkYc4IqLmJ1Wtx40degUtv6FDTySo1CGMiIhCSS2WYXBy64BlCpEE7fUJIY6IiI4ZmdYh6LP0VW26IU7Ke2EiOnNamRxT2l8QtPyGDhcgQxNTb7tULML1vXsEPe7Wfj0bTE4SRYuQJx+rqqrq/R7sh8LLH0UJU6KWQCWS4r/9Rtd7aOoca8Ct5/WGTs4bEyIKLFMbi3cHTYBGIquzPUamwNsXjkOGtv4DERGdufPjjBjfqnO97ZPbdkcbbWwYIiKiUElWa/Fsz+FIU+vrbJcKRXjvoomIlfFenShc1CIZXu47st6z9PlxSbixQ09oOTKZiM5SilqL2zr2qbf9ktR26G9oFfS41nExuHtg/eNGndcO/VulN2aIRGET8nl/YmJiUFhYiMTEROj1+oBTG/j9fggEAni9Zz7n+owZM/D000/jwQcfxMyZM2vPN23aNHz88ccwmUzo27cv3nvvPXTuXL9hoMlwOCFFDf6tRqoUjQ6D0Ap/XnYblucfQrnDikFJrZGu1iM9QE8qIqITtdcl4oeRN2JLaT72Vpagc6wR3eOSkaljQoSosaRrYvDI+YNwU8eeWJJ7AEKBAJektYdOIue1mqgFaKOLw9yLr8a+ylJsLs1DilqPC42tECORIYbJDaKwSdHqMAiZ+OOy27A8/yAqHDZclMxnaSI6d+nqGNzQsScmtO6MxbkH4PZ5MCylHRIUKqRr9EGP0ysUuLVfT1zWuSP+2n8ILq8XQ9u1RrJOg1gl7xmoeQh58vGvv/5CbGxNI9fy5csb9dwbN27Exx9/jPPPP7/O9ldffRVvvvkmZs+ejfbt2+Oll17CiBEjsG/fPmg0mkaNgYioKSVpdEgCOG0TEZ0xpUSCNro4tNHFhTsUomYtXRuDdMSge3xKuEMhojBopY1FK20sLk3vEO5QiOgEqVo9AKADn6WJqJEdm/Wgc6zxjI7TyuXQyuVol8BndGqeQp58HDx4MADA4/FgxYoVuOWWW5CWlnbO562ursZ1112HTz75BC+99FLtdr/fj5kzZ+KZZ57BpEmTAABz5syBwWDA/Pnzceedd57zazdXXHCbiIiIiIiIiIiIiIiIzkTI13w8RiwW4/XXXz+rqVUDuffeezFmzBgMHz68zvasrCwUFRXhkksuqd0mk8kwePBgrFmzJuj5nE5ni12Dkks9UrRpyfWVKNqwvhJFD9ZXoujB+koUPVhfiaIH6ysR0dkLW/IRAIYNG4YVK1ac83m+/vpr/Pvvv5gxY0a9sqKiIgCAwWCos91gMNSWBTJjxgzodLran8YYnUlETYP1lSh6sL4SRQ/WV6LowfpKFD1YX4miB+srEdHZC2vycdSoUXjqqafw2GOP4auvvsLPP/9c5+d05Obm4sEHH8S8efMgl8uD7nfyFKJ+v7/BaUWfeuopmM3m2p/c3NzTe1NEFHKsr0TRg/WVKHqwvhJFD9ZXoujB+koUPVhfiYjOXsjXfDzR3XffDQB4880365UJBILTmpJ18+bNKCkpQc+ePWu3eb1e/P3333j33Xexb98+ADUjIJOSkmr3KSkpqTca8kQymQwymey03wsRhQ/rK1H0YH0lih6sr0TRg/WVKHqwvhJFD9ZXIqKzF9aRjz6fL+jP6a4FOWzYMOzYsQNbt26t/enVqxeuu+46bN26Fa1bt4bRaMSSJUtqj3G5XFi5ciUGDBjQVG8tqjUwIJSIiIiIiIiIiIiIiIgoqLCNfPT5fJg9ezYWLlyII0eOQCAQoHXr1rj88stx/fXXNzgl6ok0Gg26dOlSZ5tKpUJcXFzt9oceegjTp09Hu3bt0K5dO0yfPh1KpRKTJ09u9PdFRERERERERERERERE1FKFJfno9/sxbtw4/P777+jWrRu6du0Kv9+PPXv24KabbsLChQvx448/NtrrPf7447Db7bjnnntgMpnQt29fLF68GBqNptFe45T8/tC9FhEREREREREREREREVEYhCX5OHv2bPz9999YtmwZhg4dWqfsr7/+woQJEzB37lzccMMNZ3X+FStW1PldIBBg6tSpmDp16llG3DL5mTAlajSlhZVwOj0QCAC1Vg5djPq0j7W7XCiptMIPP0RCIdLi9U0XKBFFLJvNAVNpNfx+QCwRwpgSe8pjcktN8Pr9EEKA5FgNxOKwLvdNFLGqqmywmOwA/BBLxDAk60/72LIqK6wOFwBAIZUgUX/613giAkzl1bBWOwAAMpkECUZdmCMKzFRtg8XmhB+AVCxGUmwIOzMTRYnCvAp4PT4IBIAuTg21Wt7kr1ltc6C82g4//JAIRUiJj8zvECKi05VXZobH54UAAsSpFVArm/67tKmYyqthq3bCD39E3+dR0whLC9RXX32Fp59+ul7iEQAuvvhiPPnkk/jyyy/POvkYkbiQIkUNJp0bU1WlDUX5Jnw+czG2bcyCRCrC0NHdcNUtg5CSHnfK4/PLzfh1wx58/fdWmKrtaJsUh/vHDkTb5HikxPGCTdRSFOWb8Ou3G/DH95tgtTjQvnMKbnlwBJIz4pBo1NfbP7+sEluzCvHRH+uQU1qJRJ0KNw7rhSHnt+F3B9FJCnLLsWD2aiz7bSucdjfO79UKtzx0CRJTYhAb23Ai8XBhOT74Yy2WbzsEP/y4qEtr3DtmADISdJBIJCF6B0TRK+9IGeZ/vAKrFu+E1+tDzwFtcdMDI2BIiQlJ0uJ05ZRWYtaSDfh901443V70bp+Gh8ZdiJRYLfQaZbjDIwq70mIzCrLL8dnbi7F/Zz5UGjlGTuyJsVf3gTH11B3mzlZemRnfrtqKH9bugsXuRJcMIx4cdyHSE/QwxLCDABFFl2KTBTmllXj751XYmV0MjUKGif0746pB3ZEahR0r8o6UYf5Hy7Fqya7a+7ybHxiBhGQ9NBpFuMOjEBCG40W3b9+OkSNHBi0fNWoUtm3bFsKI6EQc8EjUeEqLzHj0pk+xdcNh+P1+uJweLPphM/7v3rnIzylv8Nj8MjNeX7gSH/y+FqZqOwDgYGE5Hvz4Z2w7XACPxxOKt0BEYVaYW4HXn1mABbP/gdVSMzJk/658PHXnHOQcKq23v9nmwLLth/DM3D+RU1oJACgxW/HawpWYvXQTiiqqQhk+UUQryCnH8/d/id8XbITT7gYAbN90BI/d9BnKCs0NHptdYsKt73yHJVsOwOPzwevzY/n2Q7h55rfIq7CEInyiqJafXYYn75iFv37bBrfbC5/Pj43/HMCjN36KsqKG618o5ZSacN8HP+CHtbvgdHsBABv35+Lmmd+iqLI6zNERRYbcw6V48o7Z2L8zHwBgtTjw/dzVeOXpBSjIrWia1yyrxDNz/8Dcv/6Fxe4EAOzMLsId7y5AVnHTvCYRUVPKKq7AHe8uwM7sYgCAxe7E3L/+xTNz/0BuWWV4gztD+dllePL2Wfjr9+117/Nu+hQVJXxWainCknysqKiAwWAIWm4wGGAymUIYEQUi4GjNFor/7o2lrLgKX3z4F9yu+knCgpwK7N2e2+DxFrsTy7cfClg28+d/kM+GTaIWoaykCju35NTb7vf78embi1CYW7cjg8liw0d/rAt4ru9X74DV5W6SOImi0cE9BcjNqp/E93i8mPPuUpQGSYDYXS78vnFPbeegE1nsTny/egeqbc5Gj5eoOdn4zwGUFdfvEOOwu7Bgzj+ojJB73e1ZhbWdeU7k8njx4R/rUFwZGXEShUthXgU+eXNRwKV79mzLRVlx03QmKKqwYFtWYb3tfj/w1o+rkBdlDfVE1LLlllXizR//DjgoaFtWIYpN0XW/sf7vfSgrqX+fZ7e58P3cf2CuYAeuliAsyUev19vgmkMikYgjeogo6jnsLmzfkBW0fO3yvQ1+1+3KKQ5aVlJZDdvR9aWIqHnbuuFw0LIjB4vhdNb9HjHbHLXrz53M5/cjvyxyRpMQhdu6lfuClm3bkAWXM/B1usJix+o92UGPXbsnGxXW+olJIqpRWV6NDauC17+t6w6jusoRwogC83h8WLkj+HV4w/4cONiph1o4l9ODrP1FQcu3rA3cofZcrd9fv3PeMfvyS2tHKhMRRQOX24v9+WVBy9ftC/6dF2kqSquwcdX+oOVb1h2GJQLu86jphWXNR7/fj5tuugkymSxgudPJXsLhxAGPLVOgXop0bgQCAZRqGWzWwN9p2hhlgx0xdKrg69wIBIBEIjrnGIko8ml1wddCkEhEEInq9iWTNvC9AgBqubRR4iJqDjT64Gu1qbXBr8NSiQgaRfC6pFHKIBGFpZ8nUVSQysVQa4Nf31RaOYTC8NchsVgIrTL4d0FNGR+gqWUTiQSQSERwB0n2aWOaZl1UXQN1UyoWQSRk3SSi6CESCiARi+D2BP4ujVFHzxqJErmkwfs8tUYOoYjf0S1BWO7mb7zxRiQmJkKn0wX8SUxMxA033BCO0IgITEI2lnijDqOv6B20/JJxPRo8vm1SHOTSwEmEPu3ToZIxgUDUEvTo1wbCIEmMQSM6Q33SQu1qhRTtkuMD7h+jViBOq2r0GImi1fDLugUtGzmpJ2LjNQHLErRqXD2oe9Bjrx7UDUmx2nMNj6jZUqrkDd4nj7myD5LT40IYUXDj+3UOWjZpQFcYdYG/J4haCqVGjsEjuwYsEwoFuKB/2yZ53QHntYIwSO/5Sy5oD60y8IAHIqJIpFHIcOkF7QOWCQUC9OuQEeKIzp5Go8DoK4Pf5112dR8kp0XGfR41rbCMfJw1a1Y4XpaIGsSkY2OTycS4eHQ3/LvmQL312ibfMQS6OHXt75VVNlitTsjlEsTF1GzXKOV45abRePSzX+Hx+mr3NejVeOKKIWzUJGohlGo5Hpk6AW8+/wN8vuPf1akZ8ZhyzzDExKvr7J8Wr8eL11+Ku99bWGc9OrlUjNduuQyJmrr7N2cOpxtOpwdyuQSyIJ05qOVyubxQ6RW47ZFL8embi+qUdeiaipETe0KhCt7Rp21yPMb2OQ+/bNhTZ/vw7m3RtZWxSWImak6MKXqMn9wPP82vu05xzwFt0fvCdiGLo6raAYvFAZlMjPjY+tfIOI0Cd4zsi4//XF9ne4/WyRjdqyNksui9vrg9XlhtLkglIigbGM1N1JDYOA0m3zEE+3bm11lHWSAQ4KHnJ0CpPvMkYGFxJQAgIU4NgUBYO9OHw+GGw+WBSiGBWi7F85NHYOr8xXXWSMs0xOKOkf0Qq2GHOyKKDkUlZvh8ftwxsh92ZRcjq7iitkwgAJ6fPCLqZjBKSonF2Gv64pev694/9RzYDj0HNE2nFIo8Aj/nWjwtVVVV0Ol0MJvN0GrPvMH/qrS7YS6twiLHl00QXeP65Je1+OintXj7wYkY2DUz3OE0W9euuwMA8FW/j8McSQ2/34fCglQIhQkwJm0Ldzjn5Fzra2MryK1Acb4Ja5bvgVIlqxmppFXAmBIDk6kaFWY7vvt1M/YdKoYhXoNrxveGIUGLJIMO5VVWmG0O/L0zCwXlZvRok4JO6QZkJMaE+20RNYpIq6+Rqri4EvYqJ9b/vQ+msmp07JEOkUqCRf/swaiLuyAzPR7JBn3t/i6XGwUmC7YeLsDunGK0MsSif8cMxChl0LeAkY9WuxP5BZWY/8MGZOdXoF2rRFwzoRdSjHrIZJJwhxe1mlN9zS0wYdmqPVi14SCG9m2HXp3TsGnVAZhNVvQd3AHJabGn1Rs3r6wSFRY7lm7dD68fGN6tLRJ0KqTG65v+TRA1IFrqa2FeBSxmG1Yt3gWXy4OBF3dCQpIOSamxTf7aZrMdZZXVWPDrZuw9WIzEeDWuHtcbyQYdjIm6Ovvml1Wiyu7C0q37YXW4MKRrG6TEaZGWEJ335F6vD0UlZvy0eBs2bs1GrF6JyRP7oG2rROgamCaNmka01NdTyc8pR/ahEmxZexAxcWoMuLgTlBoZEo360z9HoQmbtmfj92U74ff7MWzQeRjYuw30Ggmy86swb+F6FJVUoUuHJFxxWU/IlBJYHC4s33YQZRYb+ndMR9ukeKQlnP5rEp2J5lJfKTLkF1Viy44c/LZ0BzxeH64Y0wPndU7BoaJyrN2bg3iNEkO7tYVGLoUxCgcgFOZXoMpkw6olu+B2eTBwWCckGHRISmv6+zyKDEw+niYmH6mxMfnYdKLpZvDfHTl4dNp38Hh8dbbfe/MQDB3QHoYEXeADiZqJaKqv4WKpdmD2t2tx81W9UVHlxAez/8beg0Uoq6iu3WfCyO6YPLEPkgw6+P1+bN6ejcemLcDirx+ASCSCz+fDxVfOxNMPjMKwQR0hlUTvKI1Tcbm9+Hvdfkx749c624VCAV599nL07t4KQq4BdFaaS33NLajAg//3DUrLj9chkUiIK8ZcgGvG90Z8XMsZHUzNV3Opr01py84cPDp1Qb21le664SJcMvg8JMTVfG4VlVa8+t4i3DCxI9q3bw+BQACbzYYbH5qH96ZPRpIh+u7XD2eX4q4nvoTd4a6zffLEPrj+ir5QN7D2PDU+1tcaeYUmTHvjV+w9WFRne0ZqLP77zCRce/endbZLxCK8/eLV6HpeSijDpBaO9ZUaS16hCdPf/gM79ubX2Z6apMfbL12NxDj+fVH0C/8K7kQUIY71Q2CDbKjkFZrw2vuL6iUeAeCjL/6Gw+kJQ1REFGnKKqrx7c+bYLF68MYHS/HPhoN1Eo8A8OOfW2GxOmr3n/7OH/D6/Bh21dsYcvmbuPjKmQCANz5cgnKTNdRvIaQqTNV49b1F9bb7fH5Mf+ePep8dtSxmix3f/ry5TuIRqBkF9M3Pm3DwSEmYIiOiUMovNOH1D5bUSzwCwCfzVsFmO56Uy84tx+qNh3Dn079h6BVvYcjlb2L09R+itLwa3/6yCW53dN2zV1Xb8dbHS+slHgFg/g8bUF7RvO8TKHJt351XL/EIANl5FVixeh+WfvNAne1ujxcz/vcHyk28tyOi6LP3YFG9xCMA5BVW4udF22F3ucIQFVHjYvKRiE7CwdCNzePxID+nDPt25ePQ/iIU5tXM3W61OZFXWBnkGB+ycspCGCURNaWC3HIc3FeI/bvzkZ9TfkbHbtx6BADgdHnw746coPut+/cwgJrkysmJlWOcLg+KS6vO6PWjTVmFNWCDKlAzeqWyyhbiiChULDYHcopNOJBbCrPJgtwjZdi7Mw9HDpWgrNgMADBX2bF89b6g51i0Yhd8vvqdgogo/MwmK3KySrF3Zx6yD5egtKTyrM9ltbuQk18RsMzr8+PA0Y4Ifr8fvy7dEfQ8i1fuRmWVPWh5JLJUO7B1V17Q8s0N3GsQnaggtwKH9hVh36585OeUweM5+0R8SVkV/ly+K2j5klV7UFpePzGeW2BClcVx1q9LRBQOlVW2Br/zlq3ag7KyhjtWFORV4OC+Quw7izaGE3k9XpTklePwzlzkHSyGpZKdkKjxNN85t+iscSLelor/8E2hKN+Efbvy8eFbi1Bx9MahbQcjHnp2LLQxXE+FqLmrttiRk1WGmS//guzDpQCARKMO9z0+GpntEs9oDZxTOs2vcY5vp+aooMyM/85bijU7s/HL1Jvw3bx1+PnbjXA63BAKBeh3UQfc/uAIiPj0QxSVigpM+Pm7jfj1u41wOj0QCgUYMKQjbr1/OJKbYn3IFv1o1KLfPJ0Gt9uNI4dKMfOlX3BwX81Ixdh4Ne56+FJ06JICY3ITrYXKP00iaiEaapuvrnYgJ6u0po3h0PE2hnv/MwqtOxqRmHj608FXmaqx6odNmPXCQlSbazrpdhvUAQ++fSOSMxPP6T0QARz5SET1sFm6MRUVVGL6M9/XJh4B4OC+Ijx5zxfwOLxITdIHPE4sFiIzPT5EURJRU6koq8aT935Rm3gEgJIiM6Y+9jVMAXpvB9K7eysAgEwmwQVd04Pu169nawCATqNAQpA162RSMQwJzXvtiPhYFRRyScCyWL0Keq0yxBFRUyutrMYDb/+ANTuzsey12/H7j//iu7lr4Dw6Atbn82PNir149bkfIPQCQwd2CHqukUO7QCjkIxJRJDFVVOPnbzfg+3lr4Ty6LIHP58c/f+3B61N/RGGQEYwNUSlkyAiStBQJBWh3tMFNIBDgsuFdg57nksGdoNdGV4dCjVqO7p1Tg5b37JoRwmgoGhXlm/HkPV/UJh6Bmnve6c98j6KCyrM6Z2K8FiOHdg5aPmLQeUiIV9XbnpYcA60muuogEZFeq2zwO2/4RechPj7wM31FqQVP3vNFbeIRqGljmPafb1BRembTUG9auhP/e3RebeIRALat2oenxr+BsgLTGZ2LKBA+WVM9AuaeWij/Sf+lc1VUUIG5Hy0HACSlxeDyKf0x9srekMvFqLY4sOGf/Xj9+SshFtf/Kr5jyiDIZRyeQRTNHA4Xlvy6tTYBciKfz4+vPl+F0qNTQTYkMU6NFd8/goRYFe67eQiUCmm9fSaM7A6NSg4AiI9V4+kHRkEkrH9Bf/SuEYiNqd9w05zExqjx+D2X1tsuFArw1AMjER8b+CGOold+qRlHCmuSD1VmJ376ZkPA/fbsyENVpR1XjesZMEHfp3srtEqNa9JYiejMWcx2/LJgU8CyXdtyUV115lMupiTp8ehdIyARi+qV3XbdICiVxzuxZKTFYWDvNvX2i49V46qxvSCRRNc9u1atwEN3DA/YUWfyxD7N/j6Bzt36f/ajOshUp198tAJF+WfXYN27eyt0bGustz0jNRZDBnbA8KvfqbNdIhbhqftHIY5/s0QUhTq2NaJrx5R621OMeowc2hkKaf3nfrvdhSW/bYPT4YZSLcX4q/tg0nX9EJ+orWlj+GwVykosp/X65UWVmP3iwoBlxbnlOLKn/nqURGcquu6SoxnnMqWo0TKyz+UFFcjamYuNf2xBXEoMBozrjfiUWMiPNt43Bo/bh+KiSrw+91ZYvR6s2n4YSrkSM+bcirwDJVi/bC/GXN4bn75+Pb77ZTP2HiqGMUGLq8f1gjFRB0PC6U+VQESRp9rswL5dBUHLD+4rhCPI2oTH5JaYkFtciX+2Z0GrkmFYz/b4bOYNWPjrFmzZmQudRoErx16A1mnxSDLUfGcIBAJ07ZiCWTNvwjc/bcTeQ8VIS4rBdZf3RVpyDKRR1kh6pqQSEQb0bo3P3rgBXy5cj+z8CrTPNOCaCb2QYtRDGCApS42rJKcMezcexM5/9iC9Ywp6juiGhLQ4iJvob29/7vFevzarM2DC/5i87HIM63w+3n7xGixbtQer1h+AXC7BFWN7om2bRBwuqcCcJZugVclwcc/2UCulSI7j9ZgonGxWJ1zO4GvJ5edWoN15ycd/LzGhyubCss37YXe6MaRHWyTFapBqqDsVZOu0BHzyxvVY8Otm7DlQhMR4Da4Z3xtJBh0S4o7PEhCrV+E/91yCUXsK8O2vm+BwuHHxhR0x7MKOMJ7B1GaRpFVqHGa9dSN+XLQNm7ZlI1avxOQJfdA2MxEadeM9D1Hz43J5sHt7btDyQ/uL4PF4T+tclmoHyi1WrN+dg6zCCnTONOL/HrsM+XkVmP3tWvh8fgy/qCMG9m4LvUaCD1+5DvMWrkdhsRldOybjist6Ismgb6R3RkQUWqlJMXjmodHYsiMHvy7dAY/Hi4sHdsRF/dshNSnw9NVWqxP7duXj2Tevhj5Zi7/+PQibx4uHX78cQpcf7774M+x2JwDNKV/fZXehJDf47BH7Nmeh17AuZ/v2iAAw+UhELVBJbhmeGT0dR3Ydf2j69Ikv8fjc+3DhhD6NloAUCAV48YPrMWP+X9hy4HiPoVm/b8Btl/XFhBv7Qy6XoE2rRNx142BUW52QyyQclUPUTMgVYiQGmVoZqFmXQSKpP+LimPzSSjzz8e/YfaS4dtunv67Hg1dehKsm9MLlo3tAIhUjMa7+g4VMJkFmejwevnME7A4X5FIJ5EGmIm2OlAoZ2rcx4KkHRsHhdEMhl0Im5W1vKOTuK8BjQ59HRVFl7TaJTIL/LnoWnQd0gCjAKKNzlRx/PEkgV0ggFArg8wXu+BefWFNf0pJjMHliX4y46DyIxSJ44MdTH/1av75dMQjDerVHcnx0JhiImgO5QgqBIHh/3riE49fB/FITFv69E3P+3Fi77Zu/tqL3eWl49oYRSEnQ127X6RTQ6RS48/qLUG11QiGTIC7IfXhcjBqDB7RHz27p8Hr90KjlUd2ZRSQSIiUpBndMGYQpk/pCIhEFnFmB6GRSqRhJKcHXdEw06k6rbtjtLuzPL8WDb/8Ah6umc8GCFdugVyvw/qOX46UnxsHt9iExXg2BQAiRSIjOHdR47uExcLo8UCqkzb5DHRE1fylGPVKMevQ8PwM+vx+GeDXE4uDfbQqFFDc+OBy/bd6Hb+f8Xrv962VbMLBrJp56/WpITvO5VywVQ6VVwFplD1ienJlwZm+GKABOuxoqnMuUIl7LGJ3rcrgw/+WFdRKPAOD3+/HqDe+ivBHnNI9P1OGvbYfqJB6P+fTX9RAojt8Q6LVKpCbFMPFI1IyotUqMu7J30FuAq24YCGNy4MYbm82OBSu21UmEHPP2d3/DbHUgJSkmYOLxRDKpGHqtskUlHk8kl0mg1yqZeAyRqnILXr/lvTqJRwBwO914bvwrjXqNPVHblHhoj3YcUqqkGDCkY8D9EgxaxCceT1RKpSKkJMVAo5Hi+5VB6tuCVaiyOZskbiI6PUqVFP0GtQ9YZkjSIfaEaZTLKm11Eo/HbNyTi+X/HoTHU38E5bH78GCJxxOpVXLotIqoTjyeSCIWQadVMPFIZ2T4mG4QigLXgSum9Edy2qmnMC8xV+PJD3+tTTweU1ltx/Of/Qmn14tkox5isRgi0fGmS4VcCr1WycQjETUrSQYdUo5+5zVEpZLB6vfi2+Vb65Wt3pGF7dmFMDbQAfpEmhgVxtw8OGCZXCVDu+6tTus8RA1h8pGCYr6UmiNTSRWWzF0ZsMzv92Pzku21v+cfLkb+oWLkZ5Wc1WsVV1rww987gpb/snrXWZ2XiM5NQVZJTd0+XD/R0Nh0ejkeemYcJNLjo72EIgEm3zoIGW2C9yQsszjw0z/BvyMWb9jXqHESNQZzmQW71+4PWGY121CYFbjOWSptyDtUjLxDxSjJDz71TzCJMRq8/8jliNUq4XRX49b7hqPT+Wl19kkwaPHCm9ciJb1+g2iZ2Y4fV+0Mev5F6/eecUxE1HgSjXrc8dCl6Nil7rpIhiQdpr5xTW29drrcWNjAvff3K7ejsKyqSWMligaFOWW198J2u+uMj9dq5Hj65SsgO6Fzm0AAjLuqD86/oNVpnaO8ygaTJfBomwN5ZbCeYmkCIqLmzGx3oNBsQXFVNbw+X+12i9WJBSu2BT1uwfJtyCupPL3XKK1C5nnJ6De6e53tmhgV/vPBLcjafuSU5yg+dj05dHbXE2r+2FWIiI5qGSMffR4vXI7gF8TKEjMKs8uwa+0BfPXGbyg4XIKUNom49rHL0KlvGyRlnP60A36/H9UNjJaorLbD4/FBLGY/EKJQKMwuRdbOPHwx4ycc2VOAxLQ4XHH/peg1vAuSMuKb5DUNybHo1V+ED768E7lHyuHxeNGqTSJkMjGeGvc6bnhqHHoM6QTdySMY/Wjw+8NksTVJvETnwu1suKHQaq7/d1uQVYKfPv4LS79aA7vViQuGdMJNz05AQkoMdCdMp9oQoVCADumJ+OLZ61BYXoUUvRePvzABFrMdednliEvUIj5BEzDxeMyprtdEFF7JabF44sVJsJjtyM8pR3yiFrEJGqSeUK9dbg+qbI6g56iyOeANNncrUQtQUmBCSXYZZr2wEHs2HoImVo3LbhmC4df2P6Pn3DiDDp3FQrw/7w7k51TAbnchs00i5EopDKc54sZ2ikZqpzv4Oq9ERM2V3e3GgeJyvLZkFTZn50OnkOPG/j0wqUdnJGrUcHrcsFgbutdx1klWNsTr8eGV69/B1Y+Px6iv7kNxTjnUOgUEAuCL57/GhZP6YlCQY0sLK1CSU4FZLyzE7vUHa0dRXnLdhTA2UdsKRScmH4moRVFo5GjTvRUObT0SsHz03Zfgz9l/Y94rv9RuyztYjNfu+gzXPzUeo24ahNiE01v3SSGToGeHVPy97XDA8ou6t2HikShEbNV2/PvXLvzv0S9rtxXnlOG9/3yJsbcNxZUPjERiamyTvHZ8og5upxvaGClEIhGuSH+4tuy/t3+KKU+OwxX3XQK5Ula7XSwWokf7VGzelxvolBjUrXWTxEp0LjQxKmhi1bBUVAcsT+tQd9RS/uFivHD9+8jeU1C7bdOyndj2z168teip004+AoBAIIAhVgND7PFEflIK0L5TSgNH1ZCIRbigQyo27Q1c3y5ifSOKCMmpsUAq0KFz4HqtUSlwUbfWWBXk3rvPeelQyTi9KLVc+QcK8czlM2vXRTaXWfDlq79g17oDeGDm9UhulXja54qN0yA2ToPUs2xkTk7QQigQwBegQ4BKLoXu6HTqREQtyZ7CUkz5/Nva70aTzY6Zy9ZgfVYeXr98JOJ1alx4fmtsDPLc0ve89NrlKE5FqZEjo1Mq5k9fCKFQCG2cGg6bC46jyc0H3r896LEFh0rx1IQ3jl9Pyqsx//XfsHPtATz8zk1I4nqRdBRbvSkodgoNDT8/6JDSJ+hw3zu3QBBgXuFO/TvAXmXHNzP/CHjsN2/9Dmvl6Y9+SIzR4M7xAyAVi+qVpSXq0bV10ukHTkTnpKK4CrNe/CFg2W+fr6i9wW7K17+h89N1Eo8AMGfPSxhxYx9UltadBi45Xof7L7+wzho3x7RJjkPbFPYmpMgTmxyDO1+/IWDZyFsuRoyhbuedQ9tz6yQej3E7PZj3359R2kRrRJ4sKU6L+yY1UN9SWd+IokWPtilIDtBxQSYV4+ZRfSDynN5oAKLmpuBIKT5+5tvahuITbf17L0zFoZ2SWCmVYMJFXQOW3T62H2LVipDGQ0QUbhVWG176fXlt4lEtk0IiqmlPXHs4B/mVFgA1HZETY+qvU62USTDl0p6I0ShP6/X0iTrc97+a9lGfz4fK0qradpEuAzsiKTNwh5TCI6X45NnA15Ptq/ejrCg0z3AUHTjykYiOajlJ0LY9MvHWPy/io0fmYM/6A1BqlRh376UYf89IFGaXwe0MPMWLy+GGucyCtHbGBs9fWloFR7UTRfkmxCRo8OkTV+N/36/Cxr25kEnEGNm3I24c1RvphpimeHtEFIDFZEV1ZeCpSn0+P/IPlSC9Q/JZn7+owAR7tROFeRXQ6JSIjVcj5YSe4OZyC5y249NLzdv/Bqx2N7KyKyEQCJBk1MFksiAm5viorUSdCp88fhX+t2AVthzIh1wqxtgBnXHdJT2Rmqg/61iJmopIJMKA8b3xwo+P45Mn5iF3XwFiDHpc8+QEDL3mQqj1qjr7r/l9S9BzbVm5B87TXDekKN8EW7UDRfkmaPVKxMRroI1RoKi4CkXFVYiJUUGvUyA1Jfjo5qQ4LT59vOZ6/e/+PMilYowZ0AnXX9KL9Y2oCZkrqlFltqOk0AyPx4vktFjIlVIkGOrPNFJYVAlLtQPFxVWIjVFBp1cgNfl4va6usuPP/y3BzHvH44sl/2LRhr1we73oe14G7pk4EMs++gtjbx6C2MTTm8WEqDlx2V3I2p0ftHzLyj3o3LdtnW352eWorKiG2WSFISUGKrUcxpT6z7AFhZWosthRWmpBfJwaOq0CyckNP+sa43W4aWQvZBhiMG/xZpRWViMtUY87xvVHtzZJ0DD5SEQtgNvlQUVZNYoLTJAZVdhXXIpb+lyAgWlpqCirhlIlw4Dz01FussNcaceq1fuRkR6L9x+5Ap/9tg5LNx2A1+tD/y6tcO+kgUiIqfu8VZBTjkqTFaayahiS9VBr5DCeMONT2wta461VL+CDh+dg38aDUGqVGH/vSIy791LEGPQBY3Y53Di4PSfoe/r3r93o2r99o3w+FP2YfCQKMz/8EKD+KDxqOnKVHJ37d8BLvz4Fe7UDIpEQeoMOYokYZUXmBo+VyBr+2iwqMGH9yn349M1FcLtqkpiZ7Q149JUrIVFKIBAIoFHIEKM9vZ5IRNQ4JNKG665CffZTOxXlmfDJG39g9V97arfFJ2rx3MzJyGyfCIlEAvEJrz9r92v4+58D+PDT5XC7vQAAqVSM++4ahr69WyMxsWbERmKcFolxWky75VK4vT4IAOiUMui0dR8oiCKJJkaN/uN6o2PfdnA53BBJRIg16iEU1h9VqG7gWqjUnF6dLMqvwPv//R0b/t5Xuy0xSYfn3pqMf3fl4sNPVgAAkpP1eOm5ScgMMgVQnE6FOJ0K0265FC6PFwKBADqlHDoNGz+JmkppsRm7tmRj5tSf4Dja2UAkFmLyHUMw7LLudZIcBYWVePXN37Ft+/FpxlKSY/Di8xOR2aqmXktkYlRVWvHYoBdw43OX45rHroJAKEDhgSK8dsU7gB8Ye8vQ0L5JogghEosgEovg9XgDlmv0da/Jh/cVYtrD81GcX1m7reeAdrj/mcvqNFzn5VfgxRm/YP+BotptbVon4vlnxiPtFEsaJCfocfXF3TDo/Ez4/IBIKEAaO+gSUQvhsLmwac0BvP7sQjjsLjzx3rX47+hLsHnpATz7zjoAwJezb0dRcTWee+EH5OUfH1HYr08bPPLQJbh9bH/4/X4oZBIkntCRGQCyDxbjhUe+Qn52ee22rr1a4ZFpE5F09PtZoZKj84COePm3p+CwOiEUCRFztH00GKFICLFEBI878PVErWd7Jx3HaVeJqMXSxmlgyEhAfGpc7YVVo1ciIcjIiMTU2FNeREsKKvHBf3+rTTwCQNb+Ytw38V1UF1Uj3RDDxCNRGCi1CmR2Tg1YptYrEX+K3tnBWMx2/Dh/bZ3EIwCUlVTh2Xvmoji/pkODLl6NpMwEfJf9JopLqvC/D5bWJh4BwOXy4M13FqGktP6UV8kJemQYY5FujGXikaJGjEFfc41Njg2YeASA4df0D3r8JdddiFhjw2s+mius+OazVXUSjwBQUmjGc/d9gYG92tRuKyioxNPPf4+8vIoGz5kUr6upb4YYJh6Jmpi5wopXn1pQm3gEAK/Hhy/e/wtHDhTXbists+CjT5fXSTwCQH6BCc9OW4i8/Jp6LZNJMOr6QbBVOfDBY1/iwT7P4YFe/4cZ176HwqxSjLxhEIwZcaF5c0QRRqGWY+DYHgHLhEIBug8+r/b3/OwyPHffvDqJRwDYvOYAvvxoBUzlNWs7FxZV4tU3/6iTeASAQ4dLMP3VX1FQWPf4QMRiMdKNsWiVFMvEIxG1KEX5Jrz82De190GlhytQtLsMK1fsrd3H58XRe526U5mu23AI776/DAqhCBnG2HqJx4Kcckx9aH6dxCMA7Nh0BJ++tQilRZV1tuvitTBkJCDhhPbRYNQ6BQaN7xWwTCAQoOfFnRs8nloWJh9DJQrX9QuwJB41a9H3N9oUUtoY8MQnt0GuktXZrlDL8OSndyCltSHosWWlVVg4d3XQ8h++WANTRXWjxUpEpy+5VQIefe9maE6ahkQiE+Opz+6ALv7sknqVFdX4c+HmgGVVlTZkH6xpPI0z6PHMrLvgcADfLtgQ9HwLftgEkynw9LBEzY0uUYtrHhldb3u77hkYef2FUKoaTv5VmW1Y+svWgGUVZdUoyC1Hv76ta7cVFZtRxuswUURw2t344/tNAdcLAoBvZ61C8dF1X61WB/5ZcyDgfgUFlTCZrLW/xyXHYPwdF9fbr3O/trhoQi+IxZz8iVqm+CQ9bnhqApJa1Z0BQCAQ4IG3rodcffz5t7igEmUlgdeAXPHHdliq7AAAq9WFHTvzAu63d18hrFZnI0VPRNS8eD1e/PrtBvhPyBfEJ2rxyy/Hl6UYNrQjTJVWFBRUBjzHP2sOwGoLvExFRVk1CnMDd7pc+9ce2Kynt7xFIDGJOkx5YiySW9dfE/K+16+DUiMLcBS1VM3izvuDDz7ABx98gCNHjgAAOnfujOeeew6jRo0CAPj9fkybNg0ff/wxTCYT+vbti/feew+dOzMTT0T1teqShv/99Sw2Lt2Bwzvz0KZLKnoN74qYJH2DxzntbhSd1Dv0REX5JthtLsQ0PPsMETWR9I5GvLXoSWxbtQ97Nh1GWjsj+o/qBm2cFhp9/QXbT4fb7a0zYuNk+TnHexq27pKKgsJKFDYwvXNhkRl2hwsx4Ahpav6S0uNx6Q2DMGBMDyz/fgOsZhsGXnYB0tob6zWOBuJ0uOvMNHCyojwTzu+chnXrD9duKym1NErsRHRubHYnCoI0igFAcYEJLlfNDAF2uztokhIASsuOdypIbpWA8XcPx9Ar+mL5gvVw2Fy4cFxPpLRJPK3vFaLmLLWtAS8teAgHthzB5uW7EGfU46KJvaHUKWBIOT4quOikETYncru9tWsy2+0NJxeZfCQiCszl8iL3SGmdbWKpGBaLo/b38WN61LnHOZnP54c9SFtEeYAZleocZzu37+eUNga8+M0DOLg9B5uW7USsQYfBE3tDpVcgMTX+nM5NzUuzSD6mpqbiv//9L9q2rVkce86cORg/fjy2bNmCzp0749VXX8Wbb76J2bNno3379njppZcwYsQI7Nu3DxqN5hRnb7micLBmVPJzxGHEUavlULczIq2d8YyOU6nlaN3egCMHiwOWt+5ggPoc1pUjonMjlUqR2taI1LZGjLl5cKOcUyIVQxejhDnIaMXWHZJq/18oFEKtkqFN6wQcyS4LuH+7NolQKdlTkFqOpPR4JKXHo32PVmd8rEwhhUojh/WEh/QTZbRNxMfz/qmzLTWFU7oRRQKVWo625yVhy7pDActbtTVALpcAAJRKGSQSUZ3pyk+UdFIHweSMBCRnJKBjr9YB9ydqyVJaJyKldSKGXN4n6D7prYMn6hVKKeQKKQBAo5ZDIAjedqTV8tmXiCgQqUyM885Pw7YNWbXbqs12xMdrUFZW01ly1hd/4/ZbhwU9h0QigjJI24GxgWceiVQMpercv59T2hiQ0saAwRN7n/O5qPlqFtOujh07FqNHj0b79u3Rvn17vPzyy1Cr1Vi3bh38fj9mzpyJZ555BpMmTUKXLl0wZ84c2Gw2zJ8/P3RBcg5TinB+ZpvPmT5WhUk3DIRQVP+rVSQWYsLkAdBy4WWiZiXeoMWVNw0KWJaUFovktLpDnfV6Fa66vA+Ewvr3BWKxEBPH94ROx3XmiE6HPk6NiVMCrxuZ3joBCQYddu8trN3Wvp0RetYvoogglYoxfFwPyI4mGE8kEAgw+Y4hSDDqAAA6nRyXjeoW8DzndUiCTst6TdSYYhM0yGwXeLmRcdf2Q2xczYwhKpUcgwd1CLhf/75tgjaKExG1dCKRECPGXQCp7Pi4sD+/34Qrx19Q+/uWbfnQauQ4r2NywHOMGdUNOl3gJKJOr0THrqkBy0ZO6gkd2yYpRJpF8vFEXq8XX3/9NaxWK/r374+srCwUFRXhkksuqd1HJpNh8ODBWLNmTdDzOJ1OVFVV1fkhagpM+p27SKivRXkVOLyvCLpYFaa+fV1tYwkAGJL1mPa/KdAnnN2ackTNSSTU17NVWmhC9sFiHNiVj9wjpbBbHVAopLhwRCdce/tgyBTHG1A798jAtHemIDk9rt554mLVeGnqJCQkHJ99wWDQYvoLV0Afy+8JihyRWF/tdhfyjpTiwK58VBSbMXxsD1x504V1Ehjn987Ec29Nxqz5NeswCwRA716Z+L+nxiI5iSMfqXmKtPpqMVmRm1VTV3MOl8AUYP24mHgVXv7gBqRkHL9WxsSp8dQrVyLBqK3dptfVdNwZf1kPSCQiADX1ul+f1njmybFIPsXSCESRJtLqa2W5BTmHS7B/Vx5yDpdAo5fi2TeuRY8T1k2WysSYdP0AjJrUE6qjCf+EBA1uv2UIhl/cqbZjnVAowJCLOuL+u4fDaNAFfD2iaBJp9ZWaD0OKHq98eguS02s6LO/fkQeR04fffngIX3x0Kz5+cwr8Li+eeeIy9OvTunZck0QiwvjLeuCqSb2h1wVuPzCmxuLxGVegz6B2EBw9UCIR4bKr+uDy6wdAd0K7g8/nQ2leOY7sykXBwSJYzYFndSI6G81i2lUA2LFjB/r37w+HwwG1Wo0ffvgBnTp1qk0wGgx1e20ZDAZkZ2cHPd+MGTMwbdq0xgvwaILJ7/fXVnoiahyNXl/PgNvtRs7BUrzz4k/YtyMPAPDBgvsw4+ObYbXYIRAIoNTIkJrOOc+JgPDW13NRkFOOT17/A+tX7oXP54daq8A1tw/GwGGdkZQWi4nX98fFY7rBanFAJpdAqZLBEGSqk7g4NfrHtUVaaiyqq50QCACVSobUFC4IS5El0uprYV4F1q/ci/kfLkdVpQ0CgQC9B7XHIy9MwogJF8BqcUCukECplEGuFmPK5AGYOL4nFAopVEopEhPZCErNVyTV16K8Cvz27Qb88vV6OOwuiMUiDBl9Pq67+2IkpR6/1mm1KnS5QIUX370e1moHvF4/1Fo54g16yOV1myqMRh1uuG4gJo6/AFars6Zeq2RITNCe/PJEES+S6mthXgUWzFqFxT/+C7fLA5lcgksn9cTVt1yIh6ZOgM3qgsPugkojh06vgC6m7jrpyUl63HX7UFx3TX/YbE4olTKoVDIkxHOJI2oeIqm+UvMiEAigkoow5cYBkKnl8PuBNl1TsfzXrZj73jKYK6wQCAS4eGw3PHj/CNgdbtjtLqhUMmjUCsSeouNycloc7nt2PGzVDthtLqjUMqh1CsTGHf9+tlRUY83PG/HpE/NQWVpV83w1sjvuf/c2GDMTm/ojoBZA4G8mw65cLhdycnJQWVmJ77//Hp9++ilWrlyJyspKDBw4EAUFBUhKOr7u0u23347c3Fz8+eefAc/ndDrhdB5ffLWqqgppaWkwm83Qas/8Aeeq1LtgLrPgT/u8iE8+fvLLWnz001q8/eBEDOyaGe5wmq1r190BAPiiz/sQC8PfD8Dns6GosC2EwkQYk7aGO5wz0tj19UzkZpXi4Skforqq7npTAoEAb8y5HZ16ZDTp6xNFm3DW17NVkFOOFx+ej6z9RfXK7nxiNMZc1RtSqTQMkRE1rUiqrx6PB4t/3IJ3pv1Yryw1Mx4vvHtDwJHGRC1FpNTXyjIzvvr0H/z0Zf1ZhnoPao97nx4LYyo721DLFin1taTAhM9mLsLKP3bUKxsx/gLceP8wxBv0IYuHKBJFSn2l5qcwqwR393sW9uqa9sRfKz/Dyj924vVnFtTbNyktFi9/eFOjP+/8/d0avHj1W/W2J7cx4o0V0xDPDtJ0jprNtKtSqRRt27ZFr169MGPGDHTr1g1vv/02jEYjAKCoqG6DYUlJSb3RkCeSyWTQarV1fogoMoWzvqo1cvS/+Lx62/1+P754fxlKCk0hi4UoGkTj9dVutePhFybi1c9vhTq27rpSX3+yEiUFnHqHmqdIqq8Ouwuduqdhyj0X1yvLyypDYV5FGKIiihyRUl+rqpz4/bsNAIAb7x+G9767Fw9NnQAA2LhqP2xWZwNHE7UMkVJfbTYX1v21Dy9/eBPe/fYeDB7ZtbZs2a9bYbWwvhJFSn2l5sXn8+Gvb9bUJh4BoLjAjC/eXxZw/8LcCuQeLmnUGMoLTfjkiS8DlhUcKkL2nrxGfT1qmZpN8vFkfr8fTqcTmZmZMBqNWLJkSW2Zy+XCypUrMWDAgDBGGPkifIBms+FHpAw+jpQ4Il9pgQnZewuw4L3F+P7dRRgy9Dx8/vOD6HNRuzr7HdxTAJfTE6YoiagxFB4phdVkw6rvN2Dn33vw6vs34dMfH6gtN1dY4bC7whghUfNmNVuRe7AIf/+wGUvmrkJ6kg6f/vgAbn7wkjr77d/Jh2OiSFBdZcetD1+CT3+4H0kJGvw1fzVgc+CThffjxfevR0lBZbhDJCIATpsLcpkIb39xGw5tPoQV36zFpWPOx+c/P4hufTLh8/pQxXW/iIiahNPmwra/99TZ5nF7UZwffADD3u2N+7zjtDlRdCR4QnPP2v21/1+UU4aD23Mw79VfMOvFhdi94SAKs0sbNR5qnsI/12MjePrppzFq1CikpaXBYrHg66+/xooVK/Dnn39CIBDgoYcewvTp09GuXTu0a9cO06dPh1KpxOTJk0MXZBRm8prHhLxEjau0oALbVu3Dm/fPhs9XU0kWvLsYbbqm4dlZd+Hg7k9RUVYNAIg3aCEURl/dJ6IaRdlleOeRedhywkPB3Bk/4aZnJuLTHx/AbRPegUQqhkwuCWOURM2XxWJH1s48/N+1/4PTdjzJH2fUY/qCh1BSYMJv320EgKBrrBJRaCUm6aCQifH4+DdQUWyu3a5Qy/Di1w8gsR2nRyYKN6fdhcryKmxZsQfvPDIPx1ZjWvDuYrTvkYGnPrkD91/7PpQqWZgjJSJqniRyCYytErBt5fG2BpFICKVKFnSWCGNq4z7viKViKDUK2Cz2gOVJbWpmjCzKLsOvs1ZgwbuLa8u+eftP9B/dHXe8cCWSWiU0alzUvDSLkY/FxcW4/vrr0aFDBwwbNgzr16/Hn3/+iREjRgAAHn/8cTz00EO455570KtXL+Tn52Px4sXQaEK4APbRm7lmssQmNaLI+4uIvIgiic3iqJN4PObQjlwseHcRXpt9W+22STdciOT0+FCHSESNwOPxYOWPm+okHo+Z/fIPsJptyGxvwNAx50OlYcMMUVMwF5vx4k0f1kk8AkB5USVmPjQXV9w4EACgUErRrlNKOEIkopO4HW68cd+sOolHALBXO/HSzR/CbXWHKTIiOqa8uBI2i6NO4vGY/Vuy8dMnf+Gdr++BUi0PU4RERM2bWCzC+LtG1Nmmi1Fg1BW9A+4vk0vQqUdGo8YQa9Rjwv2jAr+eQorO/TsAAEryyuskHo9Z+/tWbPtnX6PGRM1Ps0g+fvbZZzhy5AicTidKSkqwdOnS2sQjAAgEAkydOhWFhYVwOBxYuXIlunTpEsaIiSIRk46nY+PSnfUSj8cs/WYd/G4vAGDMVX3QpWerEEZGRI2pOLscv89eGbR88Vdr8NKHN+Ha24fAxfWriJpEab4JFpM1YNmeTYdhr3ZArZVj2ns3ICYhhJ0KiSgoW5UDB7flBCyrLLWgosQcsIyIQicxNRZrf98atHP84i9Xw+fxISk1NsSRERG1HEmZiXjkw9sglogAAIuW/IHLrumLXhe2r7OfUi3D1Hevhy5O1aivL5aIMe7ekeg/tmfd19MqMWPRs4hPi4XFbMUvn68Ieo5fPluOggambiVqFtOuEkWzyBsNy2lCG1JZWhW0zGl3wev14cOF90OhlMKQwoc1omjlB4ImPQDAXGaBSi2Hy2OFu5rfm0RNwVLZ8FpTLocbM7+8C7o4NdQcnUEUEZyOhtdBtpoDT+1FRKEjEAhgKrMELbdVO+AP0uGWiIgah1KjwJAr+uL8QR2RtTMXHpcHPocL9z5zGaqrHDi0txD6WBVSW8VDH6OBWtv4zztxSTF49LN7UFFYiaydOdDFa5DaPhnxKbEQiUVwO6ywVARvF6mqsMLn8TV6XNR8MPlI9QiYfAqxSLupj7R4Ikv3izoGnG4AANp0TYNUJuF850TNgEwhQZcB7bBh8Y6A5X1GdIVQBDw5+h28+ccTIY6OqGVIa2cIWqbWKaHWKZHKay5RRNHoVVCoZbBX158VQCAQICmTdZYo3JxOJ3oO6YRfPl0esLzDBZmQSNlcSETU1GQKGZJaJSKpVWK9slAtK6GL10IXr0Vm1/R6Zdo4FXpe3BlbV+0NeGy3C9tDrVM2dYgUxZrFtKvRJOIGuQXgZ/KpheK/++lIaW1Am65pAACxWAjl0Z5HAoEAtz5/OROPRM1EQnIsrn9iXO0UKCcypMehc9+2GJd8H+546SrEGfWhD5CoBVCqFRh+bf+AZZMfG4OYRH1oAyKiU4qJ1+Lah8fU/q7WH2+QGn5NPyhVXCeZKNwc1W6knZeEzAAN20KhALc+PwnGjPgwREZERJFELBZjwOjuiDXo6pXJFFJccd+l0CdowxAZRQt2ZSIKs2hISBNQkF0Gi9kGgQCY9uV9sFRaYTXbYa92ID45BiKxCHI2phBFpcLcclirHBCLBRAJBCgrrIRQJECcUY8PVj2PmQ/Oxa71ByGRijFo3AWY/J+xiE3W4sWv70enPm3DHT5Rs2OtssJUaoGpuArDLu+LK++9FFtX7cUHT30NY0Y8rvvPZejavz1UTTD1EBEFZzFXw1xuQ0WpBV6vD/FGHZQaOeJOaHRSxygxeFIv9B7RBV63FxXFZmjj1JAppFDrlUhI5rIEROFQnG+CvdoJkQjwebwozTfhgTemQKaQYvbLP2LDkh1o1z0Dt029HEmZ9UfgEBFR5LBU2mA2WVFRUlV7T6ZSKxCbqKmzX3FOGczl1aiqqEacUQ9NrArxSTF19inNq4Ct2oHSvAootQro4tRISIuBVCoFAKS0MeC/PzyCuTN+wprft8Ln9aH7oI649fnLkZCsD9VbpijF5CNR2EVK9jFS4og8R/YX4eX75iLvcCkGjT4f46/rj+k3f4jywkoANb1DL71+EK5+eHR4AyWiM5Z/pAyvPTof46YMgLm4ErOmfQ+Xww0AUGrkeGDmDXjio1vhsLkgFAqgUMvg9njhsLjQe3jXMEdP1PxUFJux/98svH7356g216z5KJGKMfnxsZi18SX4/H6ktA4+HSsRNY3SQhN2b87GO88ugO3olKpSmRg3/2c0+g/vDEPq8aSiz+PDh099jW1/H5+iK7NLKp7+/M6Qx01EQFFuOT599VdcddsQ/PzRMiz7ei38R3tBJ6TG4v/m3o17X70WPq+fM/kQEUW4sqJK7N2ag7ee/A62ageAmuelGx8ZiYEju8J49J4sZ38hXr7pA2TvKag9tufFnXH/m1NgzKj5ri/KLsP813/Bki/X1F4X4lNi8Oycu5F+nhFKpRJOuwuKGDHufPkq3Pj0BAA194CqWDn8Hi7dRg3jtKtEYRZ509zywnGi/COlmHrH58g7XAoAuOaOIfi/K2fWJh4BwOfz4485f+PvHzbC6ay/vg0RRaai3Aq8+fg3sFU7odcr8NFTX9cmHgHAZnHglds+QVV5NdLbJyG1rRFxxhgYU+MRk1h/2hEiOnfmcgtevOGD2sQjALhdHsx56Qcc2Z3PxCNRmJgrrHjl4fm1iUcAcDk9+Oiln1GQU167rTS/Ah//37d1Eo8AkLUzDy/f9CEKskpCFjMRAZUV1fj+05VIyUjA2t+2YOlXxxuYgZoRL89cPhNup4eJRyKiKGCusGLGA/NqE49AzfPSp//9FflH2y6LckrxwnXv1kk8AsDmv3Zh1rSFqKqoht3uwrJv12LxvNV1rgtl+SY8e/lMVBRUAagZPXljx6dxfefHcXufZ3F7n2dxY7cncUXaQzi0IycE75iiGZOPRHRUpCVBw89qscPv8+HSq/pArpSi+4B22L/lCGwWR8D9F76/BKV5laENkojOmh8+jLy6D558azK+e2dR4H38fvz8yV+wVFpDHB1Ry2C3OlGWXwGrxQ6v14vFX66G1+MNuO/Xb/2OouzSEEdIRFaLHb/Mq0lYdOrZCo/890o89tpV6D2kIwDg2w+Xo7TAVLNvlR3rft8W8DxHduejqqI6ZHETtVQWsxWlBRVwuVywmGxYvGAjBg7vjF8+/ivw/iYrDm7LDnGURER0puxWJ37/ah18vsBtuN989BdK8k2oKDIj72BxwH1W/bwZlaVVKM+vwE8fLgu4T7XZhn2bs+D1ePHr5yuCvt6Xr/yC6kpbnW22KhvKCirgsAVuO6WWhdOuhhoX+KN6+DcRacqLTDCXWvDr58uRs7cQGR2T8erc22Ey2bDtr51Bj6ssrYIvSIMpEUWWgsMlOLDlCFZ8uQopT4xH0ZHgCY38wyVwVDug0atCGCFR82YqMcNUUoXfPluO7L0FSO+YhMmPjUX+waKgxxRmlcLj4nWWKNRs1U5UlFThrW/uQXF2KRbP+wc+rw+Dr+iDGx4cgQ9e+gXOozMH2Cz2Or3nT2YqNocqbKIWpyi7FKX5JvzyyTKYis3oOrADhl7ZDxcMag/4/XVmFThZzv7CEEZKRERnw2Z1ID8reNtFYU45XE4Pyo52CgvE5/XBXu2ETCltsFNYzr5C+OGvN3ryRAVHSuB0uKCGEqV5FTCVmPHzJ8tQnF2Gdj1a4dIpgxBjjIE2Rnl6b5CaHSYfiegoJkEBoLragf3/HsGLU96Dz+sDAOxcsx9/zl2FV397HG3Pzwh6bEJqLERiUahCJaKzVJBVgrfu+xw7Vu8HAAy9sh8yOiajMEgCsnXnVCi0vFkmaiwOR8219oXr3q0d5bhzzX7IlTK06ZqODYt3BDwuo2MyJHI+vhCFmkqjwC2PjsJHT87H1pV7ardvWbEbmV3S8OTnd0KhkgEA1DolRGJR0BHMCSmxAbcT0bkpyS3HigXrMfuFhbXbdqzej58+Wor//vQfQChATKIWppKqgMe37Rr8OZeIiCKDSqtE5nnJ2LbuUMDyVu2MkCslMGbEBz2HRCqGUquAUCBArFGHiqLAHcPadkuHQCBEh56Z2LZqb8B9MjulQq6UoaLYjC0rd+PNez6vLduxej9+/XQ5pv/wKLoMaH8G75KaE067ShRmkbfmY8tWWVSJmffNrk08HuP1ePHCde+iXY8M6BO0AY+95pHRSGnDtaiIIt3ejYdqE48AMOflH3DlgyMhENRf81YsEWH0zYOh1ipCGSJRs1aeZ8ab935eLznx4/tLcdHE3pAppAGPu+6JsTCkBX+QJqKmoVTLkLu3oE7i8ZisnbnYuGg7dHE1swOodSoMvbJvwPN06tsWKh078xA1BbvVgTkv/lBvu9Vsx8fPfA2hWIQrHxgZ8Nj45BhknJfc1CESEdE5ksslGHlVH0ikgTtkXnPPMMQb9VDrVWjXPXCnkouv7g+lRg5Dqzhc8/DogPvEGnRo3SUNIpEQl065EBJZ4Neb8sQ4qLQKWKtsePeRL+qVuxxuzLx/NgoOc83vlorJxxBraAoaapki528iUuIIr6qKapjLLQHLzGUWeJwevLTgIWR2Tq3dLlNKcf2T49BzWJdQhUlEZ6m0oAKLvlhVd1tuBfb/m4UnPrkdunhN7fb4lBhM+/oB6A2BOxwQ0dkxV1hgLqt/rfX5fPjl42V4acFDdXrrqvUqPPLuTUjKTAhlmER0VEWJGYvmrQpavmT+ahTnlAMAYo06THliHIZd3Q9C0fHmhp7DOuOxD25BUivWY6KmsHP1/qBtCztW74cAfrTv2RpXPzwaUrmktqzt+el4acFD7ERLRBQl9HFqvPDZLUhM1tdu08Yo8fib1yLh6Lay/Arc8PQEdB/UsXYfkViE4df0R7cL26PaZIVYLEafS7th8n8uq9P5s03XNLy88OHa60JiWhxm/PgoEtOOz16hjVXj2Tl3Ib1DEgCg4FAJXEen4D9Z3sEi2KrsjfX2Kcpw3iKqJ2JyYURhcPKIx5NZLXYkpMfj/+bdC5vZBqfDDW2sGrp4FbQxmgaPJaII4Ac87vpTwX301NcYecMgvPz9w3A73RAIBNDEqNgQQ9QE/L7gN5u/z16JcXcNx/SFD8NSaYPX44U2Vo04ow4KNUcgE4WD3+sLOo0qAHjd3joPkcaMeNzy/BW46qHRsJptUGjkNT3sOXKZqMm4XZ4Gy4UCAbTxGlx6w0UYfk1/WCqtkMmlUGkVMLJTABFR1NDFqtG9fzvMmHsHLGY7fD4/tHolYgxaKJU10+C7HG7MuOVDjL39Yky4ZzjcTg8kEhHWL9qO1+/6DO//MxVAzT3b+DuHYegVfVFlskKukEKpVdTpLCaRitGlXzu8tfhpmMss8Pl80MVpEGvUQ3S0o1lD94lATSdTapmYfCQiOoE+XgulRg6bxVGvTKlVQBenQWJyTBgiI6LGkJASi6FX9MWutQfqlf05dxUSUuNw5cMjIZUGnvaRiM6dLk4DpVYRsAesUiOHWCJCcmsm/okiRVxSDIZc0TfgtKsAcOH4Xogz6k86Ro+4JH3A/Ymo8XW9sEPQsrbdMyBXSmFslRjCiIiIqCklN9BxJKWNAU6bC9+88Vu9soTUWKhjVLW/6+I00MWdejBFnFFf737vmLT2SUHX/E5IjeW0+y0Yp10lCrOIWfORQ14BANpYFW5/+ZqAZXdOvwbaeHWIIyKixnbBxZ2R0bH+ujaGjHgMuaIvE49ETUwbr8ad0wNfa29/+RpoT3gYJqLIcP6FHessO3BMQmosRlw3EHKVPAxREdExKq0Co24aXG+7RCrGXf+9lolHIqIWRJ+oxU3PTaq3XSgU4KF3bkJ8UuMOqlCo5bjuibEBX++e167jjFItGEc+hhjzO3SyiEk+EgBAG6fBBUM64dVfH8fXb/6G/EPFSG1rwDWPXgZDWjy0MUw+EkW75NYGPP/VA1i5cD3++mYdfF4fLprUG8MnD0QKR1sRNTltjBo9BnfCa78/ga/f+BV5B4uR0saAax4ZA0NGPLSn0fOWiEIruXUinvvyPvz94yYs+2oNvB4vLpzQE5dcN4gNSkQRwJiRgKsfGY3ug8/DD+8tRmWZBR17t8ZVD45CnJEz9xARtSQKlRwjb7gIbbtl4KvXfkFxbjnadcvAtY+PbZL7tvjkGAy7egDadsvAd2//gZK8CrTukoZrHh2DWM4e16Ix+UhEAE5MgjIZasiIhyEjHkmZCXDa3ZAqJEhMjQt3WETUiJJbJ2LS/Zfgool94PcDcSkxUCg44pEoVBLT45CYHoekVglw2FyQKSRI4LWWKKIlZSbi8vsvwYVjL4AfAsQn6TjikSiCGDMSYMxIQMeereFxe6DUKhCTqAt3WEREFAaaGBV6DOmEdt1bweVwQaGRQ9GE923H2lJbdUqFy+GGQi1DXCOPsKTow+QjUZhF3shHQbgDiBhsBCVq3mQyGUdrEIVZfEpsuEMgojMgFouR0tYY7jCIqAGGjPhwh0BERBFCrVcCCN2ai4lpbEul45h8DDE/510liljF2WVwO10QioRIbsNGFaJIUVlmRnWFDYAf8SmxHGVBFMGqyqpQVVENCATQJ+qg1oXuQZeIzl7RkRJ4XF4IxUIkcwpyoqhQnF0Kt9PDektERBHLZrGhorAS8AOaODV08dpwh0QhxORjqAg4mowCi7yEdKTF0/SKc0pRklOGuVO/w8GtR5CQGosrHhmL8wedB2NmYrjDI2qxXC4Xig6X4rs3fsHaXzZDIhNj2HWDMPrWYUjmiEWiiJO7vwDfv/UbVv+4ASKxCEOvGYixd45AMkdJEUWsoiOlyNtfgC9eXICcPflIbmPANU9MQLsLMmFsxftgokhUkl2KwiOlmDvtOxzeno3E9Hhc9dg4dB7QnvWWiIgiRsGhIvz+6TIs/fIfeFweDBjfC1c+chnSOqSEOzQKESYfQyXiEkzBMU8aapHytxEpcYTegX+z8OJVb9Umgq1mG16/9QOMu/sSXPnoWBgyEsIcIVHLVJxVhocHPw9LRXXttm9f+xlrf9mEF374D1LaJoUxOiI6Ud6BQjx28TSYis21276f+RvW/rIJL//6FKdpJIpA1VXV+Hfpdsy8+5PabQf+zcKLV7+FG6ddhUtvGoL4ZE6NTBRJPB4Pdq/bj+lT/le7LWtHDl658V1c/tAYTLx/FBLTOe0qERGFV/7BIvzf+FeQt7+wdtufny/H2p834c0V05DWITmM0VGoCMMdQIsTBUnIKAixWYm8NR9blvwDhfjgkTkBR6D+8uES2KsdYYiKiMzlFix85/c6icdjcvcWYOfqfWGIiogCqTbb8Psny+okHo8pOFSMTYu2hj4oIjolU1EVPnnyy4Bl819eCLvFHuKIiOhUig6X4sPHvghY9sM7v8Nu5fMrERGF37YVu+okHo8xl1nw8/uLYDFZwxAVhRqTj6HC4YQU8fwn/bdlsFbZUJpbHrDM7/fj4NYjoQ2IiAAAlnILNvy+JWj539+tQ2VpVQgjIqJgKovNWPvr5qDlf3+/Pui1lojCp6q8GlazLWCZ2+VBaX5FiCMiolOxVtlQUVQZsMzn8yN7d15oAyIiIjpJRZEJq75fH7R83W//orK0fsdVan6YfKR6mCcNrchL9bWsPwCRuOHZpxUqWYgiIaI6BAJIFdKgxTKlFBKZJIQBEVEwQpEQMmXw+ipXyiCWcrUHokgjFjfcHCDldZYo4ojFogbL5Uo+vxIRUXiJpRJIFcHvI6UKCYTCltX+3FIx+UhBBZqGkhqfH75wh3BUy/z3VmrkaN+rdcAyqVyC9PNSQxwREQGAMTMBl944OGj56FuHQaVVhDAiIgomuY0Bo24eGrR89O3DEGPQhTAiIjodar0axszEgGXaOA30Cay3RJFGoVUgs2t6wDK5Soak1oYQR0RERFSXNlaN0bcOC1o+6uahMLRKCGFEFC5MPoYY83kUuVrmH6dCq8RTX9yPhNS4OtuFQgEe+eROaHTKMEVG1LKJxWIMvrJ/wM4BQ64egOR2xtM6j8fjQWVJFexWrltF1JT6jOqBzgM71Ns+YHxvtO/ZGuYKCyyVXNeDKJKktDPi8Vn31BspJZaI8Pjse6BPjgl4XLWpGhZT/TWZiajpJbc24JGP7oTypE54QpEQj312N2KNOlSbqlHNOkpERGfAaXPC4/E2uE91pRXmCstpnS/tvBRcdEXfets79mmLgRP6QHyKmeioeYj6f+UZM2Zg4cKF2Lt3LxQKBQYMGIBXXnkFHTocb/zw+/2YNm0aPv74Y5hMJvTt2xfvvfceOnfuHMbIiWr4fZGS9IuUOEIj70Ah1v++BZuXbIc+QYun5z8Ia6UVv32yFEmZiRhxwxBoY9XQG/XhDpWoxUpqbcDT8x7AoW3ZWP71akjlElx601AYMhKQfIpe3W63G8VZZVj5/TrsXL0PCSmxGHP7MOgTtTCks4cdUWNLam3Afz67G0d25WHZl6sgkggx+tbhSEyPw7YVu7Hiu7WQyCQYdctQpLZPOmUdJqLQyOyahnfXT8fK79bi4JYspJ+XgmGTB0Efp4FaLa+zb8HhYmTvzsOi2Svh9Xhx8bUD0aFXGyS3YX0mCqX0Lsn435qXsfrHDdiz/gCS2xhx6Y1DIFPJsHnZTiydtwoAcMkNF6H1+Rm85hIRUVDFOWXY8McWrPllM2INeoy7ewSS2xihiVHV7lN4uBjZe/Px56wV8Lg8GHrNAJzXp12D94DJrQ245aXJGH3bcCyeswJupwdDrx2I1l0zOEq/BYn65OPKlStx7733onfv3vB4PHjmmWdwySWXYPfu3VCpairJq6++ijfffBOzZ89G+/bt8dJLL2HEiBHYt28fNBpNSOONpqlMBVz8MST8EZf0a/7/7jl78/HEyOmoKKqs3bbsq9W47plJeODdWxGXHBu+4IiojuQ2RiS3MaLv6B4QiASQSE5v/ansXfl4YuTLqK601W5bNGcl7p15I/qP7YmElLgGjiais3Gsvva65HwIxUKU5pRj6pVv4ciu3Np91vy8CRdO6I3bpl/Lh06iCKDSqqDSqnD9/10Bu9UBhUoecL/Cw8V47+E52LRoW+22DX9uRbsLMvH0vPuZ3CAKIYVCgbQOClzzxITaeltwuBiv3/4hdv6zr3a/9b9vwfmDOuLhj+5gHSUionoKDhXh0WEv1mkfXfrlKtz8wtUYe+dwqHRKFBwuxkf/+QLrfttSu8/GRdvQplsGnv3qwQavL8ltDEhuY8D5g8+Dz+ODVC5tyrdDESjqp139888/cdNNN6Fz587o1q0bZs2ahZycHGzevBlATbJv5syZeOaZZzBp0iR06dIFc+bMgc1mw/z588Mc/dmrKDbj3+W7muTcUZQfbSYi5QOPlDiaVnlhBWZP/a7OhfWYL19eiMqy05s+gIhCSyqXnnbisehICd57aHadxOMxHzz6BewWR2OHR0QnkMql8Pl8WPrlP3USj8f88+NG5B0oDENkRNSQYIlHADi0PbtO4vGYA/9mYd2v/zZlWETUgGP1dvvKPXUSj8dsX7UXO1fX305ERC2bzWLHp09/HbB9dNZz39Ruz96dVyfxeMyhbdlYtXADPB7PKV9LLBYz8dhCRf3Ix5OZzWYAQGxszcilrKwsFBUV4ZJLLqndRyaTYfDgwVizZg3uvPPOgOdxOp1wOp21v1dVVTVh1Gfu8bGvIe9AEf6o+IQjFKmRRG/y8Uzqq83iwNpfNgctX//7FrQ5P6NR4yOi45ry+pp/oBAOmxNCkQi71x0IuI/P68O+TYeR3jGl0V6XqLk62/rqdDpRmlOBpfNXBd3nz9kr0WVAByg0iqD7ENHpO5frq8PqQFl+BZx2F6RyCWIMOqj16tpyU7EZf3y+Iujxi+asRL8xF3D6VaLT1Jj3w6V5ZXA5PPhz9vKg+/w5azm6D+6ExPT4s34dopYq0tuHic6WpaIaa3/ZhF8ts1F8pBROmwsSmQQqnQIuOLFuwVZoEzT44/Pg15clc1fiwgm9kdLWGMLIKZpE/cjHE/n9fjzyyCO48MIL0aVLFwBAUVERAMBgqPsgZDAYassCmTFjBnQ6Xe1PWlpaYwXZKKfJO1ATu42jN6KeD75wh1Ajioe8nkl99ftqkg/BuByupgiRiI5qiutrUVYJVn67Bk9e+hLu6vEf5B8oaHB/1nOi03M29bUoqwS/vr8E21bsgtsZvBes2+mG1+NtzHCJWrSzvb4WZhXj+7d+wwP9n8FdPf6D+/o8hfnTf0BRVkntPl6vF26XO+g53E43fL4IeaYhigKNdT+cuy8f/7vvMyw5upZWMG6nh3WU6Cw1WfswUZj5fH58vvtNrF64AU9eUtOWcsf5j+LDR+bAZxVg2I0D4XP74HYFv764XJ6oWmKOQq9ZJR/vu+8+bN++HV999VW9spNHB/r9/gZHDD711FMwm821P7m59aeMigRWc/0p5RoLB1S2VNF30TiT+ipXSdH1wo5By/uOvqApQiSio5ri+npwSxZeuuYtFB2paSgtzS1HWofkoPt36tf+nF+TqCU40/pabbbhr/mr8OGjc7B58Tb0vrRb0H2HXNUf6hh10HIiOjNnc32tLDHjp/cWYfZzX8NiqgZQMwXXd6//jNnPfY2SnFIAQHxyLAZf0S/oeQaO74VYo65x3ghRC9AY98P5Bwrx1MiXsfbnTdi2chf6jOwedN+LLu+L+NTYc4iYqOWKlvZhojMVnxqDg5sP4+VrZ6I4u+aez+vxYsU3a/D8hFdQXWpDjEGHIVf2D3qOgeN6QW/gPSAF12ySj/fffz9+/vlnLF++HKmpqbXbjcaaYb8nj3IsKSmpNxryRDKZDFqtts5PY2jszgC26qYb+ciOC6Hh80dGD0R/bdIx+rLOZ1Rf/X5c88Q4SOX1147rO6YHJNJmNxs1UURp7Otr/sFCfPZ03TWcf35/EaY8OwlCUf3bnDG3D4NCE3xNKyI67kzrq6nIhG9e/QkAsOanjRg0sQ90CfWPadMtAx16t2mSmIlaqrO5vlZVVOPnd/8IWPbX/H/qzLLTfWjngFOWxyXH4NKbhkCpUZ598EQtTGPcD+/dcLC2sXjnP3vRvldrGFol1NsvqXUiBozrBbGYz7lEZ6Op2oeJwq0ku6xeW8ox2bvzkH+wEH6/H10GdkCrzvVH/MYa9Rhz2zCIRaKmDpWiWNTfffj9ftx///344YcfsGLFCmRmZtYpz8zMhNFoxJIlS9CjRw8AgMvlwsqVK/HKK6+EI+RGxWlXmwNmeUPJXu3AvBcW4PlvH8aiOSuxc80+aGM1GDFlEFRaOVZ+twZtu7cKd5hEdJo8Lg/y9tedZjVvfwGWzFmBaQsewe+fL8e+jYcQm6TH5Q+ORqd+7WHMqN8wQ0Tnzmq2w2axA6jpNfvufZ/iic/vwj8/bcLGP7dCIpPgkhsGY8iV/ZDUmmvDEYVbVbkl6FRafr8f5QUVtY1NKW2MmPb9o1g2/x8snb8KXo8Pgyb2wZjbhyG1XVIowyYiAP8u217n97fv/AiPfHo3/v1rJ9b8vAkQCDD0qv645IbBXIuLiIjqcTs9yD9QGLR8x6o96DGsK0oLKvD8tw9h+TdrsXTeKrjdHgwc1wtj7xoBmVIKa5UNcpUshJFTNIn65OO9996L+fPn46effoJGo6kd4ajT6aBQKCAQCPDQQw9h+vTpaNeuHdq1a4fp06dDqVRi8uTJYY7+3DlszlPvRBHNFzHJR/9J/22eRGIxDm87gqkTX8WQqwfgqofHwF7twOLZfyFrRw7u+98t4Q6RiM6ASCyCXCWHw1q3M86G3//Fzn/2YurCx5A4YzJEIiGMmYlhipKoZZArpXV+zz9YhGfGzED/sT0x6f6R6Da0M1I7JEEm48MpUSQ4VUORUlt3NGNyGwOueGwshl4zAACgN+ig1nLEI1E4JKTG1fm9vNCEZy+bgZ6XdMMVD43GBcPPR3xyDOQqzvhBRET1icQiyJWyoLmFhNR4wA8smbMSS7/8Bz9WfIrBV/aD3++HLl6N/4x+BVKREC///HiII6doEvXJxw8++AAAMGTIkDrbZ82ahZtuugkA8Pjjj8Nut+Oee+6ByWRC3759sXjxYmg0miaNzVxWBYlMAqVGUbutsRdhdViZfIx6ETO/baTE0bR0CRqMvGUofnjnDyyavQLAitoysUSMHhd3DVdoRHQWdAlaXHrLUPz0v/rTxrnsLsQlxbC3N1GIKLUK9BjeFVuW7qjd5vV48c8PG7Bz9T70GdWDiUeiCKLSKtG+Vxvs33SoXllSawO0cfXXZVUopBzpSBQBBl81AF9N/wE+3/FlXPx+PzYt2orOAzsgMSMOUqm0gTMQEVFLpo3X4NKbh+Kn9/6sVyaRitF9SGeIJWKMv+dSLP3yH0yIva3efv/39YPQxjVtfoWiW9Sv+ej3+wP+HEs8AoBAIMDUqVNRWFgIh8OBlStXokuXLk0al8vpxhWJt+KRwc/Vi/dcnXhzaW/CNR8pNPwRk/SLlDialiZGjYkPjkGXCzvW2S6RSfB/3z4CjV4VpsiI6GxoYtS44qEx6BygTj+34FHWaaIQSkxPwP3/uw2p7ZPrbFfrVXjhx8eR2Co+TJERUSBJrQ14fPa9MJw0Hbk+UYfnvnsUKW2ZZCSKVGqtCv+ZfS9E4rprbfUe1R3Dr7uIiUciImqQLk6Dyx++DJ0HdqizvaYt5TGoY2o6oSW3MeCu16ZAIBDU2W/MHcPQZWDddhiik0X9yMdItWfdfgDAoa1HYC6rOj66rRHyOy67u/b/m3LkY2OP0qTAIif5eCypLWhwr+YgKdOA/8y+DxWFJuxasw8xBh069mkHdYwaMQZduMMjojNkzDTgiVn3obyIdZoo3NI6JOPlX59EYVYJDvybheS2RmR2SYexdQIkEkm4wyOik2R0SsMri/8PeQcKkbUjB2kdk5HRKRWp7ZJPfTARhU1Cehx6XNwZH29/A7tW70W1yYqug86DLkHLpQaIiOi0JLU24InZ99e2pcQa9ejYuy1U+uNtKWq9CiNvGoI+o3pg15p9cDk96HphR8QaddDE1J8lg+hETD42kf0bj09dc+DfrNr/b4yEntVir/1/WxOOfDy5RwM1DZ/fd+qdQiJSkqChkdzagOTWBvbSIWomktoYkNSGdZooEiS3TUJy2yT0HNEt3KEQ0WlIaZeElHZJ6Dv6gnCHQkRnIC45DnHJQHrHlHCHQkREUep02lIUGgVSNAouaUNnLOqnXY1Uh7YfQfp5qZAppTi09Ujt9sYYTHjiVKs2C6ddjXb+SEk+NhCH12eBzbEWfr876D5EREREREREREREREQc+dhEDm/LRlLrRAiFAmTtyK7d3igjH822gP/f1Px+Pw5klcDhcKNzh2SIRMxdNwYfIiP5eHz617p/o16vCdklY+D2HIFSdhFSE76EQCCqfwIiIiIiIiIiIiIiImrxmHxsAk67Ezl78tHj4q4QiUXYt+n4FKyNMfSxqsIKAIhL0qOqovqcz3dar2mx48W3fsO6o1PItk6Px4tPjEd6SmxIXr858/q94Q7hqMBJ0JLKqfB6yxCjvh2m6k9hqv4csZrbQxwbERERERERERERERFFAw5dawK71uyH1+NFqy5paNU5DXn7CuDz1iR2fL5zTz6aSswAAEN6PEwlVed8vpMJj671eGyUZnZeOe58/Evs3FuAW64ZgAdvvRhWuwt3Pj4Pm7YdafTXb2m8fk+4QzjqWBzH1/q02pejyvYddKopUCsuhVp+KcrMr8Dlzgp8CiIiIiIiIiIiIiIiatE48vE0HUvEVVU1nOxzO91474HPAADbV+9B9q5cAIC5pBICoRDfvfUzFGrZOcWyedlu+JxO5O/Lham4Ck+P+2/QmI/FLRAIIBAIAu53stySSqiLKvHSijcBP+BSKuCXinHZTRdCKhHA6XJi1NCO+OrHf/Hw898hPlaF3t3SERejglQigkBY8zoCnN7rRQo/fPB4D8LnN9VuOT4FqQCo836Cvze7z4tshw0SQcO5fYtNDwCYt/sz6MWSOmUevxMakQFigeJM3sK58Vvg9V4AABAIH4AP1fD6SgD0hkRYAWABhMJOcHpKANwPiagnpKIBEAqVDQ7oPfZnF6tT4sI+rSEWn3rKVo1Gc9p/rwHfymnWVyI6d6yvRNGD9ZUoerC+EkUP1lei6MH6ShQ9zrW+UvgJ/I2xCGELkJeXh7S0tFPuFwsDLhAMCkFEoSOQSCBUKuE2aOHqmBTucCiK7d04D2UF20+5n9lshlarPevXOd36SkTnjvWVKHqwvhJFD9ZXoujB+koUPVhfiaLHudZXCj8mH0+Tz+dDQUHBWWfcq6qqkJaWhtzc3BZdafg5HMfPokagz+Fce7Y0VF/5uZ85fmZnp6V8bk1ZX0OhOfw78T1Ehmh4D01dX6PhM4gW/CwbRzR/jo1VX/1+P9LT06PyMwgmmv9dA2lu7wdofu/pVO+H9TUyNLe/u1BqSZ9dtD+/AtH978XYQy9a4wY48rE54LSrp0koFCI1NfWcz6PVaqOuojcFfg7H8bOo0Zifw+nUV37uZ46f2dnh59awxrq+nqvm8O/E9xAZmsN7COZ062tz/gxCjZ9l42iJn+Ox+npsWrjm+Bk0t/fU3N4P0PzeU1O9n5ZQX0OJn9/Z42d3apHy/ApE978XYw+9aI2bolvDi9IREREREREREREREREREZ0mJh+JiIiIiIiIiIiIiIiIqFEw+RgiMpkMzz//PGQyWbhDCSt+Dsfxs6gR6s+Bn/uZ42d2dvi5RYfm8O/E9xAZmsN7OFf8DBoPP8vGwc+xeX4Gze09Nbf3AzS/9xSq99PcPrdQ4+d39vjZRZdo/vdi7KEXrXFT8yDw+/3+cAdBRERERERERERERERERNGPIx+JiIiIiIiIiIiIiIiIqFEw+UhEREREREREREREREREjYLJRyIiIiIiIiIiIiIiIiJqFEw+EhEREREREREREREREVGjYPLxNPn9flRVVcHv94c7FCI6BdZXoujB+koUPVhfiaIH6ytR9GB9JYoerK9ERKePycfTZLFYoNPpYLFYwh0KEZ0C6ytR9GB9JYoerK9E0YP1lSh6sL4SRQ/WVyKi08fkIxERERERERERERERERE1CiYfiYiIiIiIiIiIiIiIiKhRMPlIRERERERERERERERERI2CyUciIiIiIiIiIiIiIiIiahRMPhIRERERERERERERERFRoxCHOwAiah58nnwI4AAghB8aCMXx4Q6JiIgo6vk9RwB4AQjhFxghFCnCHBERBeLz2iHwFwHwARBBIG4V5oiIqCF+Ty4AFwAh/MIYCIX6MEdERMH4fJUQ+EyoucZKIRCnhTukBvm8pRD4qwH44YccQnFyuEMiIgoLJh+J6Jz4POUQ+PIByyvwuzcCkADykfCr74NAnBnu8IiIiKKSz5MLgXsb/NVvA95sQKAHlFPgV0yCQJwa7vCI6AR+Tx7g+AV+2xzAVwGI0gDVffBLe0EY4Q2kRC2Nz10MgS8b/upXAfd2AHJAMQ5+1R0QiNPDHR4RncTvyQasn8Bv/xmAA5CcD2iegF+QDqHEEO7w6vF7DgGWt+F3LgXgBaQD4Nf8B35BMoRifbjDIyIKKU67SkTnROAvgb9iMuDeeHSLu6bxxXTL0dEaREREdCZ8HhsErn/gNz9Sk3gEAH8lYH0Xfsur8HnywhofER3n8+TDX/0OUP1WTeIRALy58Fc9AYFjKXxeS3gDJKI6BP5c+E03HE08AoADsH8Lf+XdNUkOIooYfk8O/JX3APZvAThqNrq3w19xPQT+3LDGFojfcwT+ihsA558APAD8gGs1/BWTIfCXhjs8IqKQY/KRiM6az1sMf/X/UDNdzUm8+YBrQ8hjIiIiinYCFMNvmRm40PknBH4mM4gihcBvAxw/BizzW9+FwF8W2oCIKCifJw9+y2uombrxJJ4DgOdgyGMiogZ4DtT81OOD3/J6RHXI83k88DsWA74ASUa/DX7r5/B5y0MfGBFRGDH5SBSFfH4vbO5SWN1FcHgrwxaHwG8DXBuDlvudK+Dz2UMYERERtVR2Tzms7iLYPM2god9XDfhNwcs9+0MXC1GIeX1uWN0lsLqL4PRWhTucU/NmBS/zWwCfOXSxEDVTTo8ZVncxrJ4SeP2esz6PAG7AvSVoud/591mfmyhaubzWmvrlLobH5wx3OHU0WCfd/9bU6UghKAdcq4KXu9dB4IuC+5oWxu/3w+apaV+1eyrCHQ5Rs8M1H4mijN1ThoNVv2KP6Ss4fWbEyjqgV/yDiJF3gFSoCnE0AkCoBbxBGlWEMYBfGtqQQuzaDo/ghqcnYNSNF4U7FCKiFsnpMaPIvhlbyj+AxZ0LpdiA82NvRZpqEOTimHCHd3YEp7h2CvUhCYMo1KzuEuw1f4sD5oVw+2wwyC9Az4QHoJe2hkgYofeUAu0pyuWhiYOoGfL4HKh0HcKm0ndQ6tgGiVCFDror0EF3BZSShLM4owAQqAF/deBiYdw5xUsUTfx+H6rcOdhS9gHyrP9AIBAiU30pusbdAo0kOdzh1RDGBi8TqAEIQhbKKQlkNWu0By3XwS8QRVLELZ7dU4Gc6r+wo2I27N4y6KSt2oOVkwABAABJREFUcEHcfUhQdINMpAl3eETNAkc+EkURh8eEtcUzsLX8QziP9qKucO7D4vx7UGrfFvJ4/EiFQDE5aLlAcSWEIlEIIwo9U0kV5s74KdxhEBG1SF6fG4ctf+Lvoqdhcdes+2LzFGNdyXTsMs2D22cLc4Rnxy9QA5LegQsFakCUHtqAiELA5inDioL/YPcJdbfY8S/+yL0Vla7DYY6uASIDIAjS0UFyPiAIdedAoubD5DyIP3NvR6mj5lnX7bNip2kOVhY+CftZzHTgF8QDiiuDlgvkl551rETRxuIuwB+5tyDXuhJ+eOHzu3HI8isW5d6JandRuMMDAAjkI4MXKq6sqdMRQijUQ6BsoH1MOQVCMe/hI4XLa8HW8o+wofR12L011xOz6wiWFz6GPOvf8Pm9YY6QqHlg8pEoitg8pci3rQ5YtrH0zZBPNScUiwH5JYC0f/1C1X3wC8+mN2r0EYubd4KViChS2b1l2Fr+YcCyPZVfwxGlU+cIxSkQaKcBQuNJJTII9O/CjwZ6gRNFqUrnYVS49tXb7ocXm8veidgpWP1+IwT6/wECRd0CYSIE2ukQiNPCExhRlHN4K7Gx9C34A6zPWObchSpX7hmfUyhSQ6CcAoi7nlQigEA7rabzD1EL4PW5sLfy64Ad9ezeUuRb/4Hf7w9DZHX5Beqae+KTxwuKu9Yk80SRVWf9olRAeWP9AtkIQNo39AFRUA6vCQerAg8k2Fz6zll1cCGi+jjtKlEUKXXsDFpmcefB7bMC+H/27jtOrrJq4PjvtrnTZ3e272bTCykQCIGQhN6kSFdRUMCCShPkVQQrKE1eBfRFURQRCwKCFJEOEsQAIr0GAunJ9jI7fe6d+/4RssmyM5tky8zs7vl+PvHjPufOnbMhd+6d5zylsCO/FL0Rgj+CbBNO8p+geFHch+IoAVS9oaC5FIuqyTgOIYQohpTdjeXk3lvYwSZmtRBwTShwVsNDMaZD+A+QeQsn8zKKNgnMxThUoOqhYqcnxLBbH8u/T1Jz4iUy2Timtp0lTotANTxkrVkoFfdA6nkc+wMUYz4Y81D0ycVOT4hRy8rGaU+9mTe+Mf4cNd49dvq8it4IZdeBvW7zfnJqGYp5KI7iQ9VLZKlJIUZYOtvDhljuge0Aa6JPMjVwFIbmLWBW/al6A1kOQKl4ACf1OGS7UMz9QWssycE9qt5I1nsaiud4nORjQAbFPATUqpLMdzyLpNfmjaWy3aSzEXzUFDAjIcamMVF8vPTSS7nsssv6tNXU1NDUtHmZAMdxuOyyy7jpppvo7Oxk0aJF/OIXv2Du3LnFSFeIQRuow0VBRS3SJa3oE4GJKK69t8ln/FDG0y8rhBAlRNvO3oiG6hkwXuoUfTLok1E8R21tK146Qowot5Z/j1ZD9aIopTvYa/OAgBDoU+UaFWKYKGhoiontpHLGTa1s8OfWJ4I+EcVcus37CTF+KIqGoQXA2pQzbqohFKU0uoy3DApQjBlFzmTHqB8WGRVD+pxLma4OvCy+qhgFykSIsa10v8HtpLlz57Jp06beP6+//npv7JprruHaa6/lhhtu4IUXXqC2tpbDDjuMnp6eImYsxM6rMGfnLTBO8O03YKeNEEIIMdaYWhkh1+ScMbcWxqNVFDYhIcSgTfIflDc2M3QSblWec4UYT9xaOdOCx+SJKkzwLc0TE0Jsj1srY07ZZ/LGdyn7FLo68CA/IUYzv1GHoeZetrfSnCv9q0IMkzFTfNR1ndra2t4/VVWb95pzHIfrr7+e73znO5x44onMmzePW2+9lXg8zm233VbkrIXYOV69iv3rrkSh7x6Dfr2OhVXnF31JjPGmFPZAEEKI8cyjh9mv9gpcat+VAXTFzYF11+DRx8few0KMBV69mr2rvtmvPeyaxazQJ9FUGYEuxHiiqS7mlX+OMte0frHF1d/Goxd2uxEhxpo6795M8O3Xr32X0KcImVOKkJEQhePVKzmw7hrUj6yk49bCLKn9PqYm21wIMRxKYw79MHjvvfeor6/HNE0WLVrElVdeydSpU1m1ahVNTU0cfvjhvceapskBBxzA8uXL+cpXvpLzfKlUilRq6/IekUhkxH8HUVrS1npwLBTFxNDrip0OsPkLWJ13EcdOup31sX8RzWyizrs3YXMWPqN6RN4zY7WQdaIA6GoFWgnegOV6FWL0KKXrNeukse12ADQ1jKqaRctlPLHsNhwng6K40YdhRGmZaypHT7yVlsSrtCXfoMycQZ1nL3xGNUoR1sW2rHZspxsFUNQKjBK8b+6oUrpexdhnaD6mBo6g1rMna2NPkrS6mODfj5BrCt4CFhky1locxwJUXMbkgr3vUBXqes06GWy7DQBNLUdV3SPyPmL0srM9ZLM9m5dN1YZ2L/YZNRxSfz1d6Q9YH3sGj17JRP+BePUqDLX/wFvLsrCdtSg4KIoHo0T3cBzp69WyWnCwUBVfSX5/F4Vh2e04ThpVMdG0cL+4R69gn+pLiGZOZ030STTFYJL/EHxGzZALL7adxs6ux8FBxYdh1A7pfMUkz8PDx7Yj2Nk2HBw0pQxdL94qNaqiU+XZjWMn/YWNsefoTq+i2rM7Ve55+Ebxv1chSs2YKD4uWrSIP/zhD8ycOZPm5mYuv/xylixZwptvvtm772NNTd9NYmtqalizZk3ec1511VX99pEU40PG2kg89Swdkf8jY6/DNHahIvhNTNccDG1kCnw7Q1dNgq5G5rhOGdH3yWTiZFlPe+TnxBKPoSgugt5PUOY/veQ6Yop1vcrMRyF2XqncXzPWOjp6biYS/ys4WQLeYwkHz8GlTyx2amOWZbeTSC6nLfLT3vtrZeg7uF3z0NT8expvj6Io+I06/EYdU4NHDGPGOy+VWUlH5BdEEw+hKDoBz3GUB76Eyxido8dL5XoV44eh+QhpPnY1v1Dw905n1pK2VtIe+QmpzAoMfSLhwLl4XHvhMkr/3lCI6zVjraczeguR2B04jkXAewzhwDkl991AFEc2myRtvU9r99UkUsvR1DDhwFcJeI9BH8L3aK9Rhdeoot63aMDj0pm1RBP/oDN6C3a2HY9rbypD30RXJ2CM0EDdwRqp69WyW4gmHqEj8kusbAse115UhS7BMGaijfJ9sMWOs+0O4qn/0B75X9LWalz6DKrKvo3b2A3tI3ulevQwHj1MlWfesL1/2lpDJHY33bE/Y2e78Zr7Uhn6BrpaV9Ri02DJ8/DwSGdW0xn9HT3xv+E4Fn7PxwgHz0VxJuFyFWeJX03RCRgNzCo7qSjvL8R4oDhjsPc8Fosxbdo0LrroIvbZZx+WLl3Kxo0bqavbOnvtzDPPZN26dTz88MM5z5FrZEtjYyPd3d0Eg4PvIBOlzbI66Ij+gs6eG/vFasuvI+A9EXWcLPmUyrzH2uZjyTrdfdpd+nQaKm8tqY7UYl2v2WyWoyq+TM3ESm599eoRex8hxpJSuL9mrA2sbTkey97Qp11TK5lY8w9cemNB8hhPstko7ZFf0NHzs36x2vAvCHqPRVG0HK8cPVKZ91nXcjx2tr1Pu6E1MqHq9pK6b+6oUrhehSgE247Sk7iP5s7+y76WB86lzP8FXHppj4If6es1Y21kXcuJZOy1fdo1NczEmgdl8I4gkXqZtS3HAVafdp/7UGrD16JrIzeDOZ1ZS0vXd4klH/9IRKOx6g687iUj9t6DMRLXq2130tz5bXoS930kotJY9Ve87sVDyFiMFtlsnM7ozbR1X9UvVlP+E0K+T6IoI9enlc6spqnjfBLpF/q0K5g0Vt+Lx5w/Yu89UuR5eOjSmVWsbzuVjLW6T7uqljOp+j5cxvTiJCaEGHFjZs/Hbfl8PnbddVfee+89ams3f0ncMgNyi5aWln6zIbdlmibBYLDPHzH22U47nT035Yy1dv+oX0f1WGVZ7XREftWv8AiQtlYSTz1fhKzyK9b1OvaGbggx8op9f3Uch2jikZyf53a2je7oHR8utyeGk2W30dFzQ85Ya9f3sOzmAmc0vGw7Qnf0T/0KjwAZex3Rfp2ho0Oxr1chCsXONtPafUXOWGfPr3CcngJntPNG+nqNJZ/sV3gEsLMddEf/SNbJDOv7idHFsjto6fo2Hy08AsSSj5OxRvZ7tJ1tzVF4BLBp6bqMdCb/qlfFMBLXq2U35Sg8AmRp7rwYy24d8nuI0mdl22jv/mnOWGvXZSP+zJ2x1vQrPAI4pGjrvpKMtX5E338kyPPw0MVST/crPAJks5109txCxu7f9yiEGBvGZPExlUrx9ttvU1dXx5QpU6itreWxxx7rjafTaZYtW8aSJaU1+k0U3+aboZ0zZmc7sLMdBc2nWGyni3jqn3nj0cQDWNb4+LsY0IfVxyJsKSaEGKRstoeeeK6Omc2iib9jZ7sKl9A4sbnDeqD7a2dhExpmVrZ1wAJjNPEg6RHueBVCDJ6d7SKb97PfImOtK2Q6JcfORonE780b70k8SHaUf46Lock6PSTTr+aNx5NPjej7x5LP5I2lMq/jOMkRff9SEE/1L/hskbbeI5st/UEUYugsuwmHdM5Y1ukZ8T6taOLRvLF46hkcJ5U3LsamjN1CNP5g3ngs+ThOtq2AGQkhCmlM7Pn4jW98g2OOOYaJEyfS0tLC5ZdfTiQS4fTTT0dRFC644AKuvPJKZsyYwYwZM7jyyivxer2ccsrI7pknRh9FGXgfhJFcnqKUKCgoijd/XPGhqMVZk70UyQxIIUYPRdEG/HxTVS8wupf/LEWK4h44PsofSRV01IH+XSleFEXum0KUqu0946vb+Qwb6xQ0VMWXN77580/uneOZgsbm7qXcq0eoamBE319V/QNENVDG5Lj7PrQB/w4U5BodHxS297w5ss/cA12Lm78PyMjt8UZxBv6epKhexujcKCEEY+TqXr9+PZ/5zGeYNWsWJ554Ii6Xi+eee45JkyYBcNFFF3HBBRdw9tlns3DhQjZs2MCjjz5KIDCyD8Bi9DG0elQl9xIKLn0mmlpe4IyKQ1UmEvJ9Om+8zHfqdr7cjA9jcMtcIcY8VfVRHvhS3niZ/0x0bXx81hfSdu+vWrjAGQ0vlzGJMv+peeMh32kYWlUBMxJC7AxVCeLSc+83pKpl6Fr+7TrGA1X1UB74Qt54mf9L6FpFATMSpUZTywl4j8kTVfC5DxjR9/e59yVfUcPvORxVGfvfXd2uPclXYPS6Dx71z1pix+haNZqa+7+1oU1CG+HP6oD343ljQe9JqErZiL6/KD26HiY04PekU3EZUwqYkRCikMZE8fH2229n48aNpNNpNmzYwN13382cOXN644qicOmll7Jp0yaSySTLli1j3rx5RcxYlCpda6Cu4gag7+hnVQlQG74eQ59QnMQKTNd1At5jcLv26BcLej+FoU8ufFJCCDFM3K7d8Hv6d5B5zQPwupcWIaOxT9dqqa+8iVz317qKX6CPgcKc130AHrP/kv5+z9GYrl2KkJEQYke5jMnUhq/PUaAwqAv/HFWpLEpepcQ05hLwntiv3WMuxe85sPAJiZKiqj6qQt9C1xr6xarLrxzxAr6i+Kku+1G/dl2rpzJ0CYZeN6LvXwo0rZra8HV8tAirqTXUlF2GNsKzT0Vp0LUa6it+028GpKJ4qau4EWOEr0VVKaMi+PV+7YY+lXDgLHRdiuDjkUufQcBzQr92j2tv/O7DipCREKJQFEem7uyQSCRCKBSiu7tbNhce42w7hmWvJxK/l7S1Eo9rAX7Px9C1iajq6F4WbiCWtRrHsVCUALq++YE0nVlNKrOCnvi9KIpJyPdpdL0Olz6pyNkOrFDXayZtcUzNV6mZWMmtr149Yu8jxFhWrPurZbeRtj6gO3obDjYh36cxjRnoWnXBchhvstkUlr2Bnvj9JDNv4jUX4/cciq5NQBmly6HZdoJsdhOK4qAoldjZTtLWB0Tid6OgE/R9EkNrxGWU9n1zR8nzsBgrbLsbx2nDcRRUtQ6Ik826yNJMLPEIifQruPTpBL3Ho2iVuEbhrL6RuF4tu42MtZqu6J9xyBDynYxpzJJ7p+iVsTaQSL1AT+IhDK2OkO9kdH1CQQpfmcx6sk6KjLUSsD+ctdwwKu7Bw3W9ZrMxMvYGumN/JWOtxe85BK+5ZMBB1LbdheMkUVXfiC+PKwoj66SxrI30JO4nmX59c4HH+zEMrQFFGfnld9PWWmy7ne7Y7djZTvyej+FxLcDQG8lm2wEFxynDcdaj4KBq5ah5ZmuWolJ4HrYy63BIo+BBN+qLksPOSmdWk7E3EondgUOGoPcEXPoMXMbkYqcmhBhBY7eSIsQgaZoPTZtFletbZLM2qjq290awrLWkUv8iFv0d2WwnLnMfAoFzUZRaVEVFV/anKnQwqqqSiEfQjGSxUy4ZMnZDiNFL1yrRtUq85t44joOiyP4jI01VTVzqVCpCF+A42VFbcNzCslYTj99JIn4PYOP2fByf77PoymKqgvuhqiqx2LuY+bc4EUIUgWV9QCz2J5KJBwANj/dEvJ5PkEpVkUn/nGDwWkK+LJom+7R+1JZ7p8dcKPdOkZOhN2DoDQS8xxX834eiZLHS/yEe+x1Zux2XaxH+wLnYdse4WXJUVX2Y6kyqy76z3WvUtrvIZF6hp+dabGsdhjGXQPAb6PoMVDX/Hq+i9KmKC5cxmQrja0V55tYUNxmriqrQlTiOg23bqGykJ/JTEkmDcPgkksm7ScT/QtaJ4zYPxuc/E5iMYQy8B/N4Z1lryWReJ9pzI7a9YfN1G7gAVatH10u7COkyJuMyJuNzL8G2bTRtbPe1CiE2k+KjEAMY+4XHNUS6f0Qy+WBvWzJxL8nEw1RW3Y1lzaKrc1qf18QTu1JRcSuaVlvodEuWFCGFGN2k87TwRn/hcRUd7adjWSt722LRX5FI3E9FxZ20thwFRABIJqYTrvgDuixZLkTRZTKraG//FFl7Y29btOc6kom/Ew7/nkj3XSQSf6ey6u9ommzTMRC5d4qBFPrfRyazhp7I1SST9/W2JZP3kUw+RGXlXeOm+Litgf4bZLNx4vE/0RO5srctlWom1fpPysO/w+0+XK7xMaLQz9y23UpX5/+QSj1B94dt4Yo/0N5+Cba9garqf9PVdS6Z9Iu9r4nH/0Qi8QCVVfcCMwua72hiWRuIx/5MNPp/vW2pVDOp1D8pD99c8sXHbUnhUYjxY3T3/AghhiSbbetTeNwqSaT7MgyjrV/EyrxOOv3SyCc3GkjNUQghxqVk8qk+hcctsvZGEvG/Uln1fG+bZa0klXy6kOkJIXKw7RiJ+B19Co9bWNZKkql/UVW9BkgR6f4+tt1V8ByFEIPjOJ19Co9bpenuvhTLWlfwnEpZNttKT+SaHBGH7q5vkc02FTwnMTZY1hpSqSd6f3aZ+5JOPYdtb6A8/Hcs690+hcctHKeLaM8NWFZrIdMdVRwnTjT6i1wRuru/i5VZVfCchBBie6T4KMQ4lkw+mTeWTv8HyL3Eajx+O9lsaoSyEkIIIUqXZW0kmbg/bzyZfBBFae/Tlkjci22353mFEKIQnGwLyeRDeePJxL0otACQTj+H40QKlZoQYohSqfyDfDKZl3CceAGzKX2WtQawcsay2RaydmdhExJjRjLxjz4/m67FJJObi5G6vhuJxL35X5t8BMfpGcn0RjUrswLI5oxl7Y1kne6cMSGEKCYpPgoxjimKOUBUJd9HhIIpy7Agy60KIcR4pCgaKAPsBae4cJy+98jN91tZXkiIYnJgwGtXUUyc3utUBeRZV4jRQmGgPVoVpOurL0XZzr56o3x5fFE8iuLu87NDBuXDe6+qqgNeq8pAz9diB/5+5LuGEKL0yBOFEOOY233IALHDAW/OmM9/ujwYIsVHIYQYjzStBp/3lLxxr/fTKErlR9pORdPKRjgzIcRADGMKXu/JeeMe7ylks+UAmO4jUdXyQqUmhBgi031A/ph5EIriK2A2pU/TGlGU3N/1NX0qqjr+9sgUw8PjPabPz6nkE7g9m9ui0d9v5z78CVS1Mm98vNP0qYA7Z0zXZ6GqgcImJIQQO0CKj0KMa0H8/vP7tapqFYHgxfT09H+wcXuORddnFSK50UOKkEIIMa4Yrvm4zP37txu7Y5qH0Nqy9T5pmgdguOYXMj0hRB5u92EYxu792l3m/riM3Whvm4KqVhIKfRtV9Rc+QSHEoCiKn0Dgm/3aVTVMMPQ9dL2+CFmVLk2rpqz853x0hreieCgv/z80rbo4iYlRT1Xr8fm/2vtzJvM6mjYBw9iDWPR7qFo9Hs9J/V6n6VPxeU9H04KFTHdUUdUQZWU/pv9166Ws7Cfo+uSi5CWEEAPRi52AEKJ4DKMRxfcZTPeBxGN/JJttxzQPwO0+HN2YSii4Cbf7VyTid6Aobny+z6Mbs9C0qmKnXhqk5iiEEOOSrk+mLHQ1Gesd4vHbwbHxeE/CMOaTySQxzUNA0fB6P41hzEXXG4udshAC0PVJlJf/knTmFRLxuz+8Tk9G12fT3W0RDF2B230Yuj6h2KkKIXaCrjfi8Z6Ey9yXeOwPZLNtmOa+mO4jMIxpxU6v5CiKC9M8kKrqJ4nF/oRtvYfh2guv9yQ0TT7/xOBpWhl+/7m43UcRi/0OJ9uJ46QoL/8lGesdIt3/SzD0TTzek4jH/ozjxHB7jsY0l0jxbDs0rQqXuS+VVQ8Rj/0J216LYeyOx3sSilJX7PSEECInKT4KMc7p+kR0fSKGMZdsNomub13mQtPr8OrH4nYfjqKostRqPrL/pRBCjDu6MRndmIxpLiabtdH1zUuUGQaY5q9QFAVVzb2kmRCieLZcuy7X/qiqhqqGcByL8nAGVf18sdMTQgzS1u+1s3GcJI5Thq5Ll1c+qupFVWcRCl2K46RRFBNF9noUw0DTwmhaGJdrPo5joaoeAHRjEqZ5IACGMRmXa0+y2TS6XlHEbEcXXa8D6tC0y4AoEELTpJ9OCFG65ElMCAGAqvrzLi+lqrnXlR/vZM9HIYQQqhpC/UhfnabJ3lJClLotAwYAFEVHUeSrsRBjwebvtLJs8o5SFA1F8RQ7DTEGKYqBohh92lTV3Ob/B/o9Q4sdo2keQK5bIUTpk495IYQYJKk9CiGEEEIIIYQQQgghhBB9yfBOIca4dKYJx0miKmEMQzbvFkIIIQBsO0Ey246qmGhOFsdJyL1SiFEmkdlEFhtTqcVxOsg6cRQ1iGubWY1CiNEvnYnhOG0oqolLry12OkKMK5aVIuW0oCo6Hn3z3oLpzFoAXMbEYqYmBpCxe8ja7SiKG5cxPj43k1YrtpPEUEK49OH9TmfZNj2pNC5Nw2cO/1K3GTuCg4OhBlFkaycxhkjxUYgxKpVZS8ZaSVf0N2SzHZiufSjzfxbFmYDLJcszDAdZdlUIIUanWGYNG3oewKuH8WsBYvG/YGfbcLsWEfJ/Dsepxe0KFDtNIUQe8cw6OpIvsa7nbmo8+1LtmUMk+nssey0uYx5l/i+hUoPLJftICTGapdNpHGUt3bE7SKaeRlXLCPk+j8uYgylFDyFGXCyzhk3Rh2mOP4mhhZlXfh7pzIv0xO8AIOA5Ca/7IFzG5OImKnplMgmyrCcSvY1EejmaGibk/wIufdaYLRbHMxtIWk18ELmVpLWRoGsOk4OnYuiVeLShPQtmsw4burq5+4U3+dd7qyn3uvnC/guZXVdNuW/ofatJq4WO5H9ZE/kLWSdDg/9YanwH45GBNmKMkOKjEGNQMr2W7tjNRGK/6W1LZV4nGv8L9VV3A7sWL7kxSEYlCSHE6BFNr+b5pjOo9x2Gbm+kNXJLbyyVeZ1I/C9MqPobcq8UojTFMmt5o+0y2pPPU+s9mICWYVPbp3rjqcwb9MTvpr7yT7jYr4iZCiGGKqt8wIaWE8k6Xb1tidS/8HtPJuy/ANM1qXjJCTHGxdJreL7piyTtJgAWVl9Da+f5pK03e49Jpl/CFZ9LXfgmXMaUYqUqtmE7H7Ch9USyTk9vWzy1jJDvDEL+r465gRuJTAvN8X/ydsfVvW2R9DtsiN7PXrW/wuMZWvFxVVsHn7nxdqKpdG/b8pVrOW3pAs46aBEhr3vQ505arbzSchEdqf/2tnV3vMHqyJ9YVHdz70xjIUYz2fNRiDEp2qfwuEXWidLWfSmpzPoi5DQGfTjzUWZACiHE6JC02nm/+7ek7U7qvEvpid3S7xjHidHa9X3SmXVFyFAIsT096ZW0J58HYHLgeLoj/5vjqAytnReRyqwqbHJCiGGTzmyivfvqPoXHLaLxO8g6nYVPSohxImV3s7rnz72Fx6BrNoq9qk/hcYt05k3iyacKnKHIJZ3ZQFv3D/sUHrfojv0ex4kUIauRZTtRVnT8tF+7g8UbbZcRy6wZ9Ll7Eil+/I9lfQqPW/zh3y/R2hMb9LkBulKv9yk8bhG31rKh5wEcxx7S+YUoBVJ8FGIMiqWW5Y0lU8/iOPECZjP2ycxHIYQYHexslKbYo/iNqaTTr+Q9Lpl+Xu6VQpQgKxtjQ/R+AHQ1gJNtw6F/hxBAxl6Dk6PzTQgxOjjEiScfzxuPJh8uYDZCjC+W3cmm6CO9P1d79iGRfDDv8ZHEXb37QIricYiTSP0rbzyWfLKA2RRGLLOaLJmcsbi1Dis7+AJhJJnk3yvzFy+feXf1oM9tZZOs67kzb3x99B7StgyyEaOfFB+FEGKQZL6jEEKMNvLJLcTotxPXsaxOIcSY5cg9XYgR42zzvzv2ArkeS8N2/juMwf9O27sXDOVe4TgD/5WN7H1o7P23EuOTFB+FGIN85v55Y27XIhRl6JsiCyGEEKONpgap9R1GNPMBLmN+3uPcrr1RFG8BMxNC7Ahd9dHgPwYAK9uDolYCRu5jtYkoaqCA2QkhhpcHr/vgvNGA+4gC5iLE+GIo5dT6Du/9uSXxHB73kXmPD3hPwjXG9hIcjRS8eMyleeM+T/7P1NHKb0xFQc8Z8+qNGEN4Fgx63CyZnv/f9b4zJg/63LrqpjHwybzxCf7jcWnlgz6/EKVCio9CjElBgr4v9GtVFC+VZZdhGo1FyEkIIYQoLrceZlroSxhqGU2JZ/F7T+93jKJ4qSq7DJfcK4UoSQHXLMLuvQBY3XM/ZcH/yXGUTnX51ZjG1MImJ4QYNqZRT0Xw26hKqF/M7/kEihIuQlZCjA+mEWJK6HO4tRoAIum3QZuGoe/S71iXvgs+9yGFTlHk4DImUBn6Aari7xcLej+X8/N0tNMUL7PCX+/XrqAzr+L7+IZQFA96TC4++kB8pqtf7NR9dqc66Bv0uQHKzF0pN/fs1+7VG2kIHIuiaEM6vxClIPfQACHEqGLbaeJ2BEP14ta9uF2NKMqZeN0H0h39DXa2HbdrH8r8pwN1xU53zHDG4JIVQggxlqTsBGk7hlvzY2huAPyuKexT9wc2Ru/H0qdQVX4jsfhfsLJteFyLCPlPB+qLm7gQIq8sXnarvJae1Gu8H/kNPfZsaitvpyd6Cxl7LaYxjzL/l4HqYqcqhBgiTZnGhOq/k05vwFbDqFjgRDGNiZjGpGKnJ8SY5jMmsaTubhLZLtJWM2sjdzO74gbS6f8Qid0BbJ7x6HMfisuYXNxkRa/Nn5v/oDv6RxLp5WhqmDLfFzGM2WNydqrHqKHWexgh1xxWdd9KwtpI0JzNlODncKlVQz7/1Kowd597Kne98Dr/enc15T4PX9xvIbPrqwl5h7aqnFuvZo/q/wUriK0lsB0HN35spR2PLn23YmyQ4qMQo1giEyWW7eSN7ifYEH+HoFHJgvKP49PClJmTMI1JmMY8stkUmlKOYQSLnbIQQggx4noybcStbl7qfJCO9Aaq3VOYX/YxvGoIv6scv2sS00JfImm3oSpevOY+ONkkqhLGMGSZRiFKUUdqAyuj/2Fl9D+Yqpc9yo9mTuX/Yig2plKFGZqF4yRQ1AAuvaLY6QohhoFhGHSkPLybaOWD6MO4tQALwkdRljUxi52cEGNY0ooRtdp5resxNiXfI2RUs2f4S1iUU+Y/A6+5efnOsVjMGu0MwwPMoDzwDULZDhTFxGWM7UKW16jHa9Tj0ydjO0kM1Y9LH54lS1VVYWJFGecdtoTP77cQQ1Pxu4fvDpSwLVrSL/Fq1yNkHYvZwQNo9M1DNssSY4UUH4UYxTqtjfxlzSWks4netje6n+Tw2rOZqexDwFWJS68tYoZCCCFEYcWtCBsS73Dv+qtxyAKwNv4aL3f+g082Xoqp+DEMA03z4NNkaVUhRoOO1HpuW/Nteqy23rZ3e55lftkRLK78JD7DBGqKl6AQYkS0pdZy25pLiFmdvW0rep5hr/Dx7Fl+LOWmfNcVYiS0pddw+5rvkHFSvW2vdz/OUXXnM1XZi4AUHUueoQeB8TUBwW0MfaZjPoamUe4b3pJgZ3oTjzbdyAexF3vbVsVepsqczEkTvke5ObaLxmJ8kD0fhRilOlObeHjT//UpPG7xeNNNpJz+7WKYybKrQghRchJ2hAc3/qy38LiF7Vj8Y+P19GRbipSZEGIwYlYX/267o0/hcYtXux4mbnUVPikhxIjrybTzr5Y/9Sk8bvFCx72kstEiZCXE2NeR2sSDG3/Wp/C4xSNNvySdjRUhKyHGnpbkqj6Fxy1aU6t5O/I0ltX/GhRitJHioxCjVNpJ0Jx8P2csi5U3JoQQQoxFtm2TtLqIWZ2k8nSK9FhtJG3prBSi1FnZJEmrG4CUHePtyNN5j3078q9CpSWEKKB0NsG7Pc/mja/oWV7AbIQY21JWhLQVw8qmSGdjtKfX5TzOdjK0pzcUODshRlbGTpG0urBtu2DvGbd6eK3r0bzx17ufIGL3H3gnxGgjy64KMcpEM00krHYcXAMel81aBcpo/JKJj0IIUXwpq4eE3cYHPQ8RSa1mcuiUAY//6IxIIUTp6ElvIGY18173vaSzPUzw7UuVZxFZJ39nkO3IM68QY5NDdoB7ti3fd4UYsp70etqSb7E6+igKOtODH0fTqgd8TVbuu2KMiFstJK0u3uu+l6i1kQr3XKYEDsNUK3Hr/hF9b8exBnyGletMjBVSfBRiFImmm1kXW8Z/267jiMbbCbsa6Mg56kyh1jOj4PkJIYQQhdaZXsmTGy/A/nBpqHmV56ErJlaOpaI8WhC3Nr72PhFitIikN7Ci+07e6bqjt21j/FkOa7iZ6f69eS/6XM7X7RJcWqgUhRAFpKsmk327szr2cs74zOA+Bc5IiLGlJ72ep5u+S0fqnd62dbGnOLLxToJ6FRGrtd9rFFQqzUmFTFOIEZFIt9OcfJlnmi8FNs8s2Bh/jrc7/8KhDT/Hrc8b0ff3GeXMCR3AqthLOeOzAkvx6uUjmoMQhSDLrgoxilhOnBfbfgbAyu7bObz2LJQcl/He4RNwqe5CpyeEEEIUVCS9juXNP+wtPAJ0Jt/iwOozch5/aM2X8WvyJU6IUpTOdvcpPG7xXPOl7F/9OVyqp19sim8BQWPgGRpCiNHJwMVB1V/AUPp/r53h3wefVlb4pIQYIyzLYm1sWZ/C4xarI/dyeN3ZOfuallSejCvHNSnEaJMmyrMtV7Kl8LiF5cR5ruVKetLrRzyHRu9cqs2p/dr9egW7lx+BW/OOeA5CjLSiz3zs6urirrvu4v333+eb3/wm4XCYl156iZqaGhoaGoqdnhAlpSXxSu9ycSsj91Lh3o3Tp1zHs213sCm5koBewaKKE6lxTyPkqilytmOfI+uuCiFEUaWzPcSsTX3anmv5AYfU38SnJ17O8rY76co0UemayJLKkwm5qjF1+RInRCla3fN4zvYeax3rIg9x+pTreKH9XlbFXsJUfexRfjRT/Asod9UWOFMhRCFknAhN0WWcPuU6nm+/m7Xx13BrfhaUH0OjdzZrog9Tbn6h2GkKMSolsk28H3kgZ+zt7ts4yLuY06b8lOWtd9Cc+oCgXsk+lZ+kypxM0FVV4GyFGH49mfV9BrBuqyv9AZlsbMRzKHfVc2Ljd3gn8gyvdz2O7WSYFVjK7uVHEDalJiLGhqIWH1977TUOPfRQQqEQq1ev5swzzyQcDnPPPfewZs0a/vCHP+z0Oa+66iq+/e1vc/7553P99dcDmwsEl112GTfddBOdnZ0sWrSIX/ziF8ydO3eYfyMhRtZHb4zPt/wQvzaBRTWXYKghDNVHuVlXpOyEEEKIwnLy7AP3xMYvU+1ewNF138Umi6G4CboqC5ydEGJn2NncHUAAb3f/iRllH+eA6jPY2z4RVVEpd9UXMDshROFleb3rJlZ038Himh+wV/hYIMvqnvt5cO0PmFN2arETFGLUcnDIOpm88be7bmVx9Y84vPYsMk4KXXERcslKA2LssLPpAeNZ8u83PpzKXXXsVXYCswJLgSxePSwzHsWYUtRlVy+88ELOOOMM3nvvPdzurdP2jzzySJ5++umdPt8LL7zATTfdxG677dan/ZprruHaa6/lhhtu4IUXXqC2tpbDDjuMnp6eIf8OQhRSjWePfm1Rez1PbjyH51suRVezRchKCCGEKA5TC+FSc+/h2JZ6A0XJUGFOkMKjEKPAxMCBeWP13sVoqolXD1JhTpDCoxDjgKa4qfXsSdrpZlnThTy6/rM8uv403u2+C4BG//5FzlCI0cullTPBt1/e+OTAYZiKH7fmocKcIIVHMeaUuabkXFoYwKtX4VL9BctF13XCZj1hc4IUHsWYU9Ti4wsvvMBXvvKVfu0NDQ00NTXt1Lmi0Sinnnoqv/nNbygv37qXj+M4XH/99XznO9/hxBNPZN68edx6663E43Fuu+22If8OQhSSoQaZGjiqX7uCxl5VXydgyLT8QpJVV4UQorhMtZKFVefnjM0PfxFdkS9vQowWfr2OWs/Cfu264mb3iq/g02VLASHGE79Ry4LKc9EUs1+s3rsYjyYDi4QYLLfmZ2boBDxaRb9Y0JhMjWcBsew6XFrhCjBCFJKmephT/tkcEYWFlRfiVWWgmxDDoajLrrrdbiKRSL/2FStWUFW1c2uIn3POORx99NEceuihXH755b3tq1atoqmpicMPP7y3zTRNDjjgAJYvX56z+AmQSqVIpbYu/ZMrTyEKLeCqY7fwl6jxLOCdrttJ2B1UuueyW/iLuNX+D43jhVyvQowecr2K4WTqXmo8e3BYwy94reNmutOr8Rv1zCs/nTLXdHyG7EkzFHK9ikIKuCawT80lrI/+i3e77yGTjVLr3Yt55Z/DrUnhcXvkehVjkV9v4MjGm3mj41aaEi9iakFmhk6iwbuUwCieAS3XqygFQddEDpvwS1Z03c262D9R0ZkSOIKpwaNRCBF0eYqdYkmQ63Vs8hs1zAgdT4W5C292/omY1US5OZ3dwl/Eq9Wi60UtmQgxZhT1SjruuOP44Q9/yJ133gmAoiisXbuWiy++mJNOOmmHz3P77bfz0ksv8cILL/SLbZlBWVPT9wtrTU0Na9asyXvOq666issuu2yHcxBiuMUzq+lKPk9X8jlMrZ4a/zFoSoiAq56Aq55qz+5AFl1x4zXG9xIYRbteZeqjEDtN7q9iexKZ9VjZbppj95G2Wwl7DiBo7oHXmJTzeL9R/+GfBmwnhYaBv0gdkmm7jXj6fZqi96AqBjX+E/EYk3Bp4aLkM1RyvYrhEM+soivxHF2p/+DWGqj2H4OhlGPmeH4NGA3MLv80Db6lgIOh+vHoo/P6KTS5XsVoksxsIJPt+si9fne8xuQ+x5l6EFMPsmfl+VhOHFAIuhpzntPKRklZm2iO3kfS3kil5xCC7gW49bqR/4V2klyvohjimTXE0itoiz+Kpnip8R+PS6tifsWZ7BL6BChgEkbTDXS1/4zj8Wo8Xa/xzGoiqVfoSCzDpVVR4zsOXS3DU+KrrGXsKGm7iZbYP0hYqwmaexD27I9bm4iq5l/0MWDUEzDqCZu7kCWDhhu/Swa8CTGcFMcpXu95JBLhqKOO4s0336Snp4f6+nqamppYvHgxDz74ID6fb7vnWLduHQsXLuTRRx9l/vz5ABx44IHsvvvuXH/99SxfvpylS5eyceNG6uq2PnSeeeaZrFu3jocffjjneXONbGlsbKS7u5tgMPfeQkIMl1j6PV5rPoO03bpNq8KsymsoMxfjHufFxo8q1vXa1Rrh0zMvpGZiJbe+evWIvY8QY4ncX8VAEukNtCce4/3OK/u0u/UJ7FpzM15jSpEy276U1cKKtovpTD7Tp73adxzTyi/GpY++FQrkehVDFU2v4LWmM8hk27dpVdml8ieEXHvjlj2kho1cr2K02Hyvf5T3O6/q0+7WG9m15reDutfb2TgtsQd5t/3bfdpNrZ75tX/EY+QuWBaLXK+i0BKZdbzVeh7R9Ft92hsCp1Mf/BxeY2KRMit94+V6jac/4LWWL5KyNvRpn1b+XSp9h+LWS3O2uZVN0JX8N2+1fA0Hq7ddV0PsVnMrAXNOEbMTQhR15mMwGOSZZ57hySef5KWXXiKbzbJgwQIOPfTQHT7Hiy++SEtLC3vuuWdvm23bPP3009xwww2sWLEC2DwDctviY0tLS7/ZkNsyTRPTlJE+ovASmY2s7Lj8I4VHAId3277Nwvr7Aemo2ZZcr0KMHnK9ioFkifXrjARIWutZ3flzpoW/jamX5lKqnYnl/QqPAC2x+6jxH09YX1qErIZGrlcxFInMBla2X/aRwiNAlhXtF7OwTp5ph5Ncr2K0yH+vX8earhuYWn4Jpr5z+zmm7Vbebf9uv/aUvZFVnT9hVuWVaOr2B7cXilyvopBsO0ZT9K/9Co8AG3pupcp3JEjxMa/xcL2mrBZWdf2sX+ER4P3OKyj3LC5CVjsmbTfzTus3+xQeAaxsN++2f5u51TeW5Ax4IcaL/HOPC+jggw/mG9/4BhdddNFOFR4BDjnkEF5//XVeeeWV3j8LFy7k1FNP5ZVXXmHq1KnU1tby2GOP9b4mnU6zbNkylixZMty/ihBD5jhJupLP5o6RoSf9RoEzEvkUceK4EEKMSR2Jp4Hcn61t8UexnZ7CJrSD0nYnG3p+nze+IfJ77GyicAkJUQJsJ0p36r85Y46TJpZ5r8AZCSFKQXv8qbyx1tjDg7rXdyWfB7K5zxl/lLTdudPnFGKsSGVbaYr+LW+8OXpPAbMRpcjO9tAefyxP1KEj0X+AZalIZtZiO7GcsWj6LSy7u8AZCSG2VdSZj1/72teYPn06X/va1/q033DDDaxcuZLrr79+u+cIBALMmzevT5vP56OioqK3/YILLuDKK69kxowZzJgxgyuvvBKv18spp5wybL+LEEMVzbSTykYgO/AXIytbmh2vQgghxFANdI9zyIADXen1bEq8zqb46wSNOqYG9sOtBvEaxdwXzsbOxvNHszEcxy5gPkIUn+NYA8bTdjfLW36FqQWY4l+KqYTwucoLlJ0QoljsbDRvzCEzqPvlwN+R7Q//CDFeOdjZ3MUZ2Hz9RNMtGKoHUw8UMC9RKhyy/WYObsvKRgqYzc6xnfzfwQCyZIb8Hl3p9bQl32Nt7AW8ejnTAwdjqgECsn2AENtV1JmPd999N0uX9l+CasmSJdx1113D9j4XXXQRF1xwAWeffTYLFy5kw4YNPProowQCclMVpSGWbqcp8QZ3rv4SLak1uPX8e1IEzQUFzEwMRCY+CiHE8Cr37Jc3FnDtShade9eezz+bruGdyEP8p/133Ln6SzQn3yZudRUu0Y/Q1RCV3sPyxqt9H0fX/AXMSIji01Qfpt6QN65qdbza+Veeb/std675Mm3pd0lZpdu5JYQYHuXeA/LGAq75qIp7p89Z5l6UN+ZzzUZT5R4sxi9N8Q/4jO13L+G+9d+gNbWSTEZW6hiPVMXE75qbNx727FvAbHaO15gGKDljhlqBoQ5tX86u9Hr+sf5iHt30Q96JPMRLHbdx55ozWRv/D9F0y5DOLcR4UNTiY3t7O6FQqF97MBikra1t0Od96qmn+syaVBSFSy+9lE2bNpFMJlm2bFm/2ZJCFFPaifFE0xU4ZHm18+9MCF1ArptnlfcI9CHeOIUQQohSZWo1lLlz7SmiMTX8HZ5p/S1xu6NPJIvNY5su37x6QJGoikFd4NPoav9ZW6ZWT9h7YOGTEqLIvMZkppVfkjNW4T2adfE3cD5cJjHrZHhs049IZGVpLCHGOk2tJGj2LxYq6DSWnQ/Kzg8SN/V6wp6DckRUZoS/j0urGESmQowNpl7FpLJzUBVPv5hXn0mGAN2ZdTy66TJi2cH3xYrRy2NMZFr4EkDrFytzL8Wlle4MP0Mtpz7wmZyxqeFvYWr5B8JtTzzTwQttv6c789G9MB2WNV9LejuzLoUQRS4+Tp8+nYcffrhf+0MPPcTUqVOLkJEQxdGWWontbF4KoCO9mrd6XmJm5S8IuhaiKC7c+gSmlX+bKeUX4TEmFDlbIYQQYmR4jEZmVlzB5LKv49JqUBWTMvcS9qi7HUWt5IPov3K+znKSdKbWFjjbvjxGIwvq/kqt/xNoig9NDdAQOJ3d6/6MW68vam5CFEvA3JXdav5I0Fzw4TNtI41l38RwHciLHX1XuklnY0TSm4qUqRCiUN6PPk+5/3QagmdvvdebS5hZ9Ste6PgHSXvnBxO5tDAzKy5nWvl3MLXa3ueHBXV3DTibR4jxwq3WsEfdnVR6j0RV3BhqObWB06kr+xZPNf8SgKTdTVz2Rx233Npk9qj9C2XuJaiKiUurYXLZhcys+CEeI//qbMXm0itpDH6FmRWX49EnoyguAq7d2LX6d4Q9+6Gqg99xLuVEeb9nWZ6ow9rYC4M+txDjRVH3fLzwwgs599xzaW1t5eCDDwbgiSee4Kc//ekO7fcoxFiRsvvue/Fez1Osj7/KvNARTPCfRqU5k6ApBflS48i6q0IIMew8xgQa/F+gynckOA6qauLW62lJrhjwdekB9pAqFI8xkenh7zOp7GsogK6G0VRXsdMSomjcet2Hf36C41hYjs0jm66hNfVuzuPTA+xJJYQYG5JWNw+23kidZ1dmB7+OoXpoTa7iHxt/SiobYZ+qrw7qvKZeRUPwNKp8R+KQRVO8GJqsGiQEgK6X4aeMhtD5uN0fw3YyvNuznHVtl/auQgCQycqyq+OV26jGbVQzs+IKHCcNiopLqUXXzWKntl1uo44641OUu5fgYKMqJqZeO+TzOk6W7AB7YabsgfYbFkJAkYuPX/jCF0ilUlxxxRX86Ec/AmDy5MnceOONnHbaacVMTYiCqvHs0q8tYXfyQsdfCOg1HNP4kyJkJYQQQhSHrpvoTO7T5lJ8eLUK4nZ7ztdUmjMKkNn2aaobTR36l10hxpItK3d0pdbRYzXnOUohbE4uWE5CiOJo9O3FS523sSnxOpsSr/eJVZkz0ZXBD9pRFAVTL93lAYUoNgedfzb/MudgHwWVgCHPsOOdxxj8MqXF5h7mleJ0xUWlOZ221Mqc8UbfnsP6fkKMRUVddhXgrLPOYv369TQ3NxOJRPjggw+k8CjGHVMNMMWfewPwxVVfpcwlS60KIYQY3/xaLUvyzIaYETgEl+otcEZCiJ3l0SrYp/LLOWO7BI9Az7EflRBibPEb1dR6du3XrqCypPqrBF11RchKiPHBo5ezV+UZOWPzyk7AUOU+LMQWQVc9S6rOQslRPqnzzMenVxUhKyFGl6IXH7eoqqrC7/cXOw0hiiLoqmNp1VnsU3kmXq0CUKh2z+LjE66hOsesSFEiZNVVIYQoGF3XqfXM5eiGqz+c5ajg0ytZXPVVFlV+STorhRgFTN3LBO8eHFl/ORXmNEDBr9ewb/W5LKz4HEGXzLgQYqwLueo5tPYSFoRPxa0FAYU6z64c33g9oWGetSKE6MutBZjiW8rhdT+g3DUZgIBRy/7VX2d++UkEDJk5LMS2gq4JHNd4HXWeXQEFtxZiz/BnOaT2W4Rc9cVOT4iSV9RlV5ubm/nGN77BE088QUtLS7/902zbLlJmQuy8znQXGxNNvBlZQdhVxrzQbMJGOS7N6HNcNL2OaGYVHcn/4tZrqfLsg0IIn1HJ3MDxTPXvDwrgqLi1MG7dXZxfSAghhPhQyk7Rme7mte436c70sGtoNrXuaspcoT7HtSRbidkJXux4FRubBWW7EjSC1LirsKwoiWwrHcmXiWVWEzLnEnLtgt81aYfzCLrqMNUwH6u7FEfJggMepQrD0Ib7VxZi3OpOR2hJtfFq95t4NQ+7l82j3Ajh0fvOhoim1xG31tGWeB5Tq6DKu5T18Siv96xiQdluhIwg1e7KfucPuuoIuuoIm1M+3GdKocw1epf4EmKs29FnAICe9DoS1toPPxcqqfYuRXGC+M2+s0N8ejm7hz7DLsEjAFDQMbUgbl1WMRBiIJFMD+2pTl7peh1d1dmjbFfKXWX4dC8xK0Z3pofWRCuTfT66068TTb9PyNyFkGsO/g+LjUFXHW61YvNgPsUBB3xqDbouz9Ni+2Lp9VhOD83xZWSzGap9+2NqYXxGY7FTGxFBo5qgUc0htZeQZXOdwqtV4NKKO0u4JdlG3I7zYudrWNkMe5RvfvaucctsTFFailp8POOMM1i7di3f+973qKurQ1GUYqYjxKC1pzq45p3/Y21iQ2+bisrXZ36V3UJzewuQ0fQaXmg+j2hmde9xCjp71vwEmM+y9YeTJdMb8+oTWFz3G7yjeM31seyjAyaEEGIsStop/tv5Cr9c+TucD6d8/23DA0zzTebCmWcRNsuBzV+AHm76Jw81Pd772ns3PMg+4T05beInyTqreb7pbGwn3hs3tSr2qfs1Qdf0HcolllnPs5vOJGFtc79VTPap/RXl7vmoSlEfbYUY9TrTXfxy5S28EXm7t+2Pa+7k85NPYd/KRXg/LEDGMut4seVCIukVvccpHdcxv+oK3IrD99+8msUVCzm58YS8nSAyWlyI0rejzwCweUDCSy1fJ5J+t7ft7Y7r2L3qCmCv3gKknU3SHP8XL7Z8E8j2Hht0zWbv2p/h0WUGtBC5dKcj/HHNnfy7/T+9bbetvZvj6o/k6JpDWZfcyINNj/L5ifuzfNPnsLI9vce51DD71P2akDmLnvQqnt30BVLb7KOuKz4W199MyDVb+mZFXvHMBlb33MEH3bf2tr3X/RtqvYcwp+J/8I3h2eultMpOS7KNx5qf4oFNj/a23bvxIfYq34PPTvpkzsF/QhRLUZddfeaZZ/jzn//MWWedxfHHH89xxx3X548Qo0HKTnPX+r/3KTwCZMly/Xu/pjPTBUAs08o7nf/Xp/AI4GDxUvM3cYj0KTwCxK31vNH2YzJ2dCR/BTFEUoQUQoxlm4sRWzsdt3g/tpqHmp4gk7UAaEm19ik8bvFcx4uoSjf/bbmwT+ERIGW38mrr94ll1m83j4zdw+ttl/cpPAJknRT/aTqXpNWys7+aEGIbWSfLv1qf61N43OKW1bfRnu4AIGl18l7nzX0KjwAONq+2fof9q+YB8Gz7f3kv+sHIJy6EGDE7+gwQS3ewsus3fQqPsPlz4ZXW7+AoW4sgSbuFl1ouYtvCI0Ak/TYru36HnU2PzC8jxCj3ZmRFn8LjFvdtfIiebIxr372RzzYeykst3+hTeARIZzt4ueXbxNLreKnlW30KjwCWE9v8PG3L87TIL25t6FN43KIp/gTtyf8WIaPxqS3V3qfwuMULnS/zZuSdImQkRH5FLT42NjZKp70Y9SKZHp5pez5nzHZs3om8t/kHJ4Ou+PDpk/sdlyVDZ+o1Dm94oV+sOfE06WzncKYshpmMDBRCjGUvdb7Wr9Nxi8eblxHJRIhkojza9M+cx7hUF+lsG2l7c+Gi3JzPBP9xBIzNsx27Um9gZbc/yCad7aQ1sTxnzHJixDJrduTXEULk0Z2J8HDTE3nj/2p9DoBMtpsNsX8A4NbraPAfQ7VnKbC50NCReJ69yvcA4JGmJ2lNto1w5kKIkbIjzwAAWSJsiD0EbP1cqNrmc6E18Vzv61rjz+GQe4uddT33kv5IUUQIAT2ZKA9seiRn7OfTrqAt1UHMjqMrKZJ2MwAh17zNz9yumR+e4z0yTg+RdO7iRMpuI2W1jswvIEa9tNXD6sgdeeOru/+yQwNKxdDErBiPNT+VN/5o0z9pTsp1LEpHUdemuv7667n44ov59a9/zeTJk4uZihCDZmNjOVbe+MLgXDpS69mYeIco05lUfhQBPcSbbZcQzbzfe1za6kB15xoPkCXrZHK0i2KTwRNCiPGgK9OdN5bMpsjikMmm6bFiOY/xaV4ydg81nkOZUn4OLcnVdKY30BA6kjKjkrfbL8V2UtvNw3YGngmRzubPUwixfVnHIZrnOobNM6A2s9GVALvX/o6kbbEu/gY+s5x9yr9Jc/QB0nY7AX3zUoxRK4bl5C4yCCFK3448A8DmAuPmz4VbSNqZbT4XvkFT9AFS1taC4kdnXG3LdpK9e2oJMZ51pTfRllpDU+I9yl0NVLpn571He71eYokYLtXAduJUuw9gavh82lLraE+toy5wOHPNWla0X0F2O8/clpP/OUCMb7aTJG3nvyeks904A/SNjnVdqWbSTpzV0RexnAxT/AvwqCHKzOFdSjyTtfJ+7wbosWLY8uwtSkhRi48nn3wy8XicadOm4fV6MQyjT7yjo6NImQmx49yqm3p3LRuTTf1iN83/Ke32Ku5e+wMyTrK3vdxVz4mN1/HSpjNJZjePSit3705XV1f/82vV6KpvxPIXQgghBrJb2dycy7oATPVNwlRdmIqL3UJzeKfnvX7HdGa6CBgzaQh9idtWf4tUduuXpaBRzScar8Clbv+R1FD8uNQw6Wzu58PADu4bKYTIzaOZzA7O5LXut3LGF4Z3B0BVXOxVdwsPbLiWpuTWJRZVdI5puIgqs5Y31twCwNzgLvh0eY4VYrTakWcAAIUtnws/pSm59VlAReeYCd+ixrW187XSszfvdt2Y85wB1wx0xTuMv4EQo097ah13rf0e3Znm3ra5oY8xLzibf7Y+0+/4B19/kEW7LiadzeDVGplYfi5/WfNtkvbWpVf9egWfmHgZbtWNpniwnUSOd1bw6KWzr50oLYZSTpVnMe3J/kv/AlS490JXgwXOqjR0pZp5o/tRlrfd1tv2TOsfmB08kP2qT6fMNXwFSL/qY7eyOXmXV50bnIlfk/uoKB1FXXb1+uuv56abbuJ3v/sdN9xwA9ddd12fP0KMBmWuIKdNPjlnLK12c8+6H/UpPAJ0pjfyRNNvmFXxLQDC7gWYWjXP9RzS7xxzKr6BW6se/sSFEEKIHTDBU8dET0O/dgWF0yadTNAIYOom+1QsJKgH+h1nqi4yKNy3/oo+hUeASKaFhzf9nCyu7ebh1quZU3Fhzlit91DcWtUO/kZCiFy8upfPTDwRTdH6xarNKqb7pwKgKmH+2/H3PoVHgCwWf9/wY7KYtKTbMFWTI2oPJmj4C5K/EGL47cgzAICuhnmh/b4+hUf48HNh/dXYitnb5jMmEnLNyfl+8yq+hamHh/E3EGJ06Um388imn/UpPAK8E3mSA6oW9Bb8t/WE8RxuzWRReE+SjsN966/sU3gEiFrtPLjhWtJozCw/K+d7Twp8Epcq15/ITdd16nyH4tL6/xvRFA/Tyk7HPU4/v3us1j6Fxy3ejjzF+vgbw/peuq6zV/kehIz+hV6X6uLj9R8j6BqfRWBRmoo68/H0008v5tsLMWxm+qfyndlf59bVd7A+sRFTNfnZrMtpS68glWcfq9Wxlzmw+gymBD/LlNCpaIqLGWVfZlX3bVhOFJ8xiT3Cf8Dv9suegqVKVl0VQowD5a4yLtrlPO7b+DBPtfybjJNhsreR0yd/msm+xt7j6jw1fG/O/3DHunt5sfNVHBzmBnfh1EmfIGZ1ErVyz1jcmHiHpB1je1+RFEWlxnsgC2uu5a3264hb6zDUAFOCn2VS8JO4tNAw/tZCjE/17loum3sRt66+g/eiH6ArOvtW7s2JDcdQYW5eSjVud/JG1+M5X5/FZk3sZU6oP5p9q/am0qgoZPpCiGG2o88ACbuTN7ufzHmOzZ8Lr1Bhbj7erVexV+3PeL/rFmYEvo6qqnR0dKAF11Jmzi3I7yVEqUpme1gff7Nfu+1keL7tt/xg7v9w25p7eSPyNioqe4V359ONJ1LtruKUiSeRzrYSybTkPHdL6gOSdpTGwPGYWpgVHTeQsJtwqeVML/siE/xHY2gyYEjk53dNYkndzbzTcQPN8adwsKlw782cigtxqeNzIGjSivFy5wN54y923EeDZy7l5vDNKq7z1PDd2f/DnR9+786SZU5wFqdO/AQho2zY3keI4VDU4iPA+++/zy233ML777/Pz372M6qrq3n44YdpbGxk7lx58BSjg0f3MC80m+/OuZCUnUZVVLyGj3h31wCvcsgC00Nfxf3hiJWZ5V9lUvATZB0PbYks73T38MrKd6n3B9i1opYKt5eQ212IX0kIIYToVWGG+eykT3Js/RFknSxuzeyd7bCtCd56zpj0GT4z8UQcHEzVRaVZwbuR5QOeP7MDez4CuLQgdb5DKTd3x3aSqIqOqVWiKoN7pO2Mx+lIJ3itrYmmWJQF1fXU+gJMCpYN6nxCjHYuzcU0/xS+OetcEnYSVVEI6AFMbetMC8exsQa4ZrOOyqKyffnvxiY2RNeyW1UtE/whua6EGKX6PgPYuDV3v2eA7HY+Fz46ACma9uHRz+Tva9+jLRFjz5oGajIzqPTIUnGDlbQytCRivNKyiY5Ugr2qG6j1BaiQv9NRZaDrqCm5AjvbzAUzv0LcioOi4Nd9eLTNfUTV7kpWR9du9/ymVkZj4FgqPfuQddKoioFbq0TJsfLBjlgX6SaSSbJ841pcmsbiuon4NBcNQZl9NRYFXNOYV3EJs8Pn45BFUzx4jfG7XK/lJIlbXXnjCTuCM8BexuujXcQzFs9uWksma7O4biIBw6Q7muSV9Zuo9PvYtb6G6oAfl7b1Gp3greOMKZ/h0xNPwHEcXJqLKlMG/YnSU9Ti47JlyzjyyCNZunQpTz/9NFdccQXV1dW89tpr/Pa3v+Wuu+4qZnpC7LSQEYRtti6tck/Ne6xHC+JSPb2FRwBV0fHotayJdPLVJ+7jrY6tI9Z8houbDz2R2eFqyqQAOWwe/9PT3HXt3/nVS/+70691HJn6KIQYP1yqQaW5/aV0Ktzl/drKXfV5jzcUN56dHGXt1it36vhcuuJxXuto5suP30PStnrb51fWcsNBxzJRCiViHAsYfgJ5lkvVFIMK10Ta0/07OKvM6WDtxlEP3ko0k+5t36W8il8fejyTg/0/H4QQpW97zwCaYhB2NdKRXpcz3ujdtff/t0RjvNq+iXP+eT8pe2uH7F41DVy7/9Fy/x2ERCbDsg2rOPef95PJZnvbD5owlWv2O4Jqr8xmGy1M1Y9L9ZLOxnPGg0YNPt2LT89dVPYblSioHw5170tTDDza1v4njz707X3WRbr42SvL+et7W5eWVIBvLTyAj0+ZRaNcz2OSx5CtobZwKyEm+fZgbfzVnPEGz1xcau79z9dHurl/1Ttc89+n+yysdvLMXTln/j5c/shTALg0jV+dfBx7TZ7QpwAZdpUN028hxMgp6p6PF198MZdffjmPPfYYLtfW0bQHHXQQzz77bBEzE2J4uDU/U3x75owtqTwVv95/VEpzNMo1/326T+ERIJZJ86XH/0ZHMvdDqBicX3ztd7z/yuohnUNWxRVCiIG5VA+7BPfPGdu78pN41MIvmdqeTnDmRwqPAK+2NfF/rz5LRzyW55VCjG/lZj0H1Hw+Z2yP0Jl84bF7+xQeAd7pbOXq/yyjOdqT83VCiNFtoM+FKnMKZa6ts2IimSRnPXlfn8IjwAvNG7j5zf/SlUyMaK5jUVO8h7OevK9P4RHgn+s/4K/vvo6d7V+IEqUpYFSyT8WncsZmBpbi1QaeTehSPMwLHZoztjB8AuZ2Xr+z/tO8oU/hETbvTnP1f5fRkpBnaTH26brOrOBSPDm2ANEUg0WVn8Rv5B581xTv4ccfKTwC3PHu67zcspHXv3UOAGnb5it33EdzJPe2XkKUsqIWH19//XVOOOGEfu1VVVW0t7cXISMhhleZq5bD6s5lz/DxuFQPAAG9iiPqLmBaYG9cmqffayKZFA+tfjfn+aKZNCu62kY05/FG1Yb+MSgTIIUQYmAhVw37V3+eRRWfwvxw5KdfD3NIzVnMDR2Exyj8skwvt24i9ZHC4xb3vf8WHelkgTMSYvSoMqdwQuP3CbsagM2dKwvKj6Ez4SWSzr1k3KNr3yOS2bElloUQo0+1ayrHT/hen8+FeaHDOL7xe5RvU3x8ZtOafkWyLf763ht0SPFxpz26diXZPF9Kf/PGf2mVItCoYagmc8oO4bDac3oHq7tUL3tXfIKDar6Mfzt7KQddVSyu+gxLKk/BrW6e8erVyjiw+kvsXn4kfn34BvytjXTxuzf/mzf+p3deIZpO540LMVaEzQl8etLVTPEtZPPcX6j3zOYzk67Bn2fFnmg6yR/eeTnvOW9+80Wakls/uzO2zX/XbhjWvIUohKIuu1pWVsamTZuYMmVKn/aXX36ZhoaGImUlxOA0JVrptqKs7FlDuSvIJG8DAc1PmVnLkorPsEf50diOtXlJGjP/v++0bWEPUM1qjsmI8eE0lOKjFB2FEONFdzpK1IqxKraeiBVlpn8yAcNHjXvHlz8tc9WyqPJkdi077MP7oU5Qq0XXi/M4uikWyRtL2TaWzBIQ41Rzso2YlWBFzyq8mptp/ol4VQ9h99YOy5CrhpCrhkrXJCwnjabouLUgf3vv/bzntR2n30wnIUTp++gzwAz/JAK6n1pP32eAkFlDyKyhypyM5aRRFQ23FsT3kWJH0wD331gmje3I/Xdnre/pzhvrTCXyFiZFaQoalcwvO4op/j2xsmk0xcBvVGCoJi2JdhLZJO/0rMJQNGYEpuBWTaq22fagzFXL3hWfZE7ooN4+qKBWia6bw5pnJpulbYDCdks8SiKTxr/NSndCjFVV7skcXvc1LCeJ42QxVDchV03e42MZi9YBVtppS8T6fR9tiux8f/CGeDObki00J9uZ6Kun0lVOnadqp88jxGAVtfh4yimn8K1vfYu//vWvKIpCNpvl3//+N9/4xjc47bTTipmaEDulKdnGDSv/xJuRlb1tbtXk4tlfZgr1BM0gHnZsVodHN6jy+PKOTty1snZYchabafrm4qPjOCiyfqoQQvTTlY7wbs9qfvru70hnM73tC8rm8OVpJ+9UAdKteXFrufeoKbQ9q/MPBGrwBzG32U9DiPGiOdnGH9bcx/K2l3rbdEXjnOmfZS4z+nRuwualFrc1J5x/D6AKtxevbuSNCyFKz2CeAT76ufBRe9c2cuNr/8kZmxYK41Ll/ruz9m+YzB/ezj2DZtfKWtxFGuglBk9V1T7LFcPme/T9m57kwU3Lth6HwmmTT2Bxxe5Uu7fOinRpbsLahBHNMWAYLKhu4MHVK3LG96mbSLnpHtEchCglIdeOF/UqTDf71E1k+ab+e6gDLKiux6f3LdwvaBz4/vpRK6NruPytX9Kd2bpca6Onjotnf5l6j+zbKQqjqMuuXnHFFUycOJGGhgai0Shz5sxh//33Z8mSJXz3u98tZmpC7LCeTIz7NzzRp/AIkMymuPLtXxGxd26PxgZ/kAv2WJoztqC6nip37o2KxeBsmfloWzs/Et/ptzK7EEKMPVErzv+u+G2fTkeAl7re4vHmZ0nao3N50gZfkLkVub90fXPP/ZgSChc4IyGKy7Is/tPxWp/CI4Dl2Pzfe38gtgPPtJVuH3vV5C7sn7/HEhr8hV9iWQgxeCPxDDA1GGZGWe6lI7+1cH8mhXLvjSXym1dZS2Mg93Ka3190EGF3aQz8EkPzQXRdn8IjQBaH36/+Gx3p/LNfR0q1L8C58/fBUPt3LZeZbo6eMqtoK5wIUep0XefjU2YRcvUv0LtUjbPn70O2Z2vRcEZVBVMqdvz+uDHRwlVv/7pP4RFgXWITN31wB63JjsEnL8ROKGrx0TAM/vznP/Puu+9y55138qc//Yl33nmHP/7xj2gy2lyMEpFMlCdbnssZS2czrOhZtVPnM3WdAxomc/W+H6PGu3mNflPT+NTMXbn+gKOZGCobaspiG1tmO2ZtWd5HCCFyebHzTSwn9wCNh5uepiOdf/m0UjYpVM6NBx/HCdPm9Haa1PsCXHfA0SyskuX/xfjTkung7xv/mTOWxeHp1he2e46JoTKu3f9oTp65W+/s4WqvnyuXHs7BE6ZiSiekEKPKSDwDTA6V89tDT+TjU2ahK5vvv43+EL846FjmhPMvUSfyq/MF+MuRJ3P0lFloH36/nRIs5w8f+yRz5e90TGhOtnPfxifyxh/atIyotXMD34dDjdfHbUee3GdA35K6idx+5KeZ4PEXPB8hRpOJviB3HP1pltRN7G2bV1HDbUeeTKXp5sDf3o6uqhw7bxdu+szxVAd2/JrqSHflHZTwWtcK4qN0ALEYfUri29+0adOYNm1asdMQYlAsxyKVzb+Jdmtq50eTNAbL+KTXzz41jSRsC5emUeZyU+mVWY/Dzflw/wtH9sEQQoicWpLteWNRKz6q9xGaFCznO3sdyLnzF5PO2ng0nSllMuNRjE8K0DlAIWFHn2knBsv41oL9+Mque5GybdyazkR/UGY/CDEKbf8ZYHADOCeHyvnBooP5+oJ9Sds2Hl2XFQeGqDFQxjX7HsnFex2Alc3iN0yqpf9gzLCz1oCzG9vTXSTtFH69sLNcK71+Kr1+fnXw8cStDKqi4NUNJuSZiSuE2MowDGaHq/nf/Y4kbmXIOg5e3WBisIyWnigPn30GhqoS9nnxunZu64KuTP79IR0cUtnUUNMXYocU/BvghRdeyI9+9CN8Ph8XXnjhgMdee+21BcpKiMEzFIMqM5y3Q2ZWYMqgzqvr0gFaEB/2mQ+q73wUd7gLIcSOmhuawYNNy3LGJnrremctjFZVPj9VPhmZLYSmaEz3T+Sdng9yxncNzdzhc1X4fFQgnd5CjHbbfwYY/IpV1b4AsuPU8PK7XPhdru0fKEYdr+Zmpn9y3n6n2cFpBPXi3XcnBsuK9t5CjHa5ivU7M8sxl3p3/jusWzXxarIctyiMghcfX375ZTKZzfsFvPTSS71LHn5UvnYhSk29t5pTJn6cn733h36xCZ5aat2VRchK7KyhzHyUjyshxFg2xddAtVlBS6r/7IdTJx1LraeqCFkJIYZbtbuCUycdw/ff+Hm/fa3LjSDzQjOKlJkQoljkGUCI0lBmhjhpwuE83/Fqv6WQvZqbA6r2xqVJ4VkIsZlP97B72Wxe6Xq7X+yY+oMIGTL4VhRGwYuP//zn1n1EnnrqqUK/vRAjYk5wGudMP5Xb1vydzkwEFZW9wrty2uTjqfPIeM5S1rvsanbwxUeZACmEGMvqPNV8f8453LL6bl7qfAsHh0pXOZ+bfDyTvPXFTk8IMYxqzCou3uXL3LL6bpqSbQDsGprFl6Z+knqP7BsmxHiT/xngOHkGEKLAyl0hfjD3XH7zwZ2sjW8CYKZ/MmdOO5kKQ5Y5FUJsVeOu5KvTPs1d6x9hWct/yDgWPs3DcQ2HsH/VXgQMWaFEFEbRNt6wLAu3280rr7zCvHnzipWGEDulJ9NBwk7QmtqI7VjUuBtxKW6q3ZUcqJcxJziNpJ3GUHW8qocKd1mxUxbbMZQ9H6XoKIQYC9pSm4hkOujOdFBp1uHVAlSYfYsMDd4avjrtM8TtJFbWwqOZMrhGiBIRyXSQtBO0JNfj4FDjbsRU3YRcFTt9rip3OVXuchq9tSTsFLqi4dHdVJmyFYAQ41WZy8dXpn6CuJ0knc3g0734dTdBo7zYqQkxZiQyCaJ2J52ZVmJWhBr3RNyqh7C59Xm7zBWkzBXkktlfJWEnUVFwa25q3Dt/vxei0LozHaTtBC3b9KcaiknYLP0Z9HErStTqoiW5Ea/uJ+yqJmiEUUt8+5EadyWnTjyW4+oPIZ3NYKouyvQQPpe72KmJcaRoxUdd15k0aRK2bW//YCFKQFe6jZXRN/jb+t9gOWkAVFQOrD6evSsOIeyqpl6XEeGjTW8BUZZdFUKMQxsTq/n9qh/TlWnrbZvkncWnJ55LhVnb59hKUzoZhSg1nakW3ul5mfs3/h7bsQBQ0Ti89lPsXr6UsGtwz6YyuEAIARDL9LAxuYo/rbmWhB3rbd+9bF+OqP1Mn8KIEGJwYlaM5tQa/rD6f4nb0d72ecFFfLz+c4Q/MihQtvYRo01HqpX3Y29wz/rf9ulPPbj6RBaGD+z3b7yU9GQ6uW/j73mta3lvm1cL8IUpl9DgnYo2hL2PC6HMFaDMFSh2GmIcK2qJ/rvf/S6XXHIJHR25N0wWopRErW7+uu6XvTdKgCxZnmz5GxsTq4uXmBia3pmPg3np4F8rhBDF1pra1K/wCLAmvoJ/bPoTXem2PK8UQpSKiNXJPRt+21t4BMhi83DTX2hLNRUxMyHEWBCzI9yy6sd9Co8Ar3Q9w8td/yJtp/O8Ugixo+JWF79bdVWfwiPAG5Hneb7jSZIfuf6EGG3idoS71t3Yrz/18Za7aEquK2JmA7OzFs+2P9qn8AgQt3u46YMf0p3pvx+yEKKvohYff/7zn/Ovf/2L+vp6Zs2axYIFC/r8EaJUpOwEz7Y9ikPuKtOylvvoSLUUOCsxnAaz7KoQQoxmkUxHv8LjFm92v0DSThQ4IyHEzohlIjzT+mDe+LKW++lKS6eIEGLw3ut5rU9n8baeaXuQiCWfMUIM1arYO6SzyZyx59ofoSfTXeCMhBg+iUyC5W2P5O1Pfar1PjrSpdmf2mN15X3WTmeTrIutLHBGQow+RVt2FeD4448flvPceOON3HjjjaxevRqAuXPn8v3vf58jjzwS2FxUuOyyy7jpppvo7Oxk0aJF/OIXv2Du3LnD8v5i7EtnU3Rm8t8MuzJtWNuMOP+oVV2dtCfidCQSTAgECZgmjUHZELwkfLhmqpOVZVeFEOPLQCM1HbKkndydIKWsJRqlJ5NmXWRzJ01jMETQcFHl9xc5MyGGXzqbpDPTmjfelWkjkx2eWUkbeyJEM2nWdHfhN1zU+PxUuT0EPJ5hOb8QojS1pTbljcWsCFkn26dtQ6SbaCbDmu4uQm431V4vE3wBDMMY6VSFGLXa0/lXKkjYMbIM33ZV6yPdRNIp1kcihD0eKj1eJpfJ1gpi5GScBJ0DFBe70m1Y2fz9qcVkOxbJbDxvvDW1cUTeN5JK0paIsy7STdBlskuonOZUko5kgrZ4nIZAgKDpHhX9ymnbpiUWZUM0gmVnaQyFqPT48MpzwbhR1OLjD37wg2E5z4QJE7j66quZPn06ALfeeivHHXccL7/8MnPnzuWaa67h2muv5fe//z0zZ87k8ssv57DDDmPFihUEArLusdg+U/UywTudldE3csbr3VNwqWbO2NttrXz5oft6O0IB9pswiSsOPJSJobKRSFcMwqBmPsqyq0KIUazKVZc3ZqgmbtVbwGyGbn2ki6fWruZHzywjZW/+AmtqOt9ZegAHT5rChFHw5UyIneFWA0zwTGVt/L2c8Xr3ZDza0K/jdZFufvHf57nj7dd7x6yXuz388mMfZ5eqSsrN0fVZIYTYcZN8M/l3+0M5Y5WuOtRt9rpaF+nmf597hvvfe6e3rcrr5VdHHMucymo80tEoRE6Nnul5Y2VGJaoyPF23a7u7+MHTT/LPtat62yYEgvz6yOOYWyX7t4qR4db8TPBO4/3Ymznj9Z7JmKq7wFntGF11UWZU5l0tqNGX/9odrNZ4jKuXP83dK94C4O0vnM26eIyvPHQ/q7o7e4/bp34CPz74Y0wq4X7leCbD02tXc+ETDxHPZAAwVJVv7rMfn5o9jzJ3af53F8OrqMuuAnR1dfHb3/62z96PL730Ehs2bNjhcxxzzDEcddRRzJw5k5kzZ3LFFVfg9/t57rnncByH66+/nu985zuceOKJzJs3j1tvvZV4PM5tt902Ur+WGGNcmouF5QfgynFDVFA5pOYkylwV/WKrujr54j/u6VN4BPjX+jVc95/ltEaj/V4jikOWXRVCjDdePchE78ycsSUVH8Ovj65i3aZYjO8ue6K38AiQsi2+//QTbIz2FDEzIUaGx/CwT8Xh6Er/Dn0VjQOrj8dvDO06tiyLRz9Yye3bFB4BOpMJPv+Pe2iPy/LMQoxlE7zTCOrhnLHDa0+m0qwFIJZO89e33+hTeARojcc544G/yX1YiAHUuidSZlTmjB1W80mqzPwDBndUWyLGL158vk/hEWB9T4TPP/A3VnV15nmlEEPj0lwsDB+EkWPCxpb+1JAr932m2EJGmCPqPpMzVm5UUetuHNb3s7NZ7njr9d7CI0BTKsmZD93Xp/AI8NzG9Vz97NM0lfD9dX2km7Mevr+38AiQyWa5cvky3mhtLmJmopCKWnx87bXXmDlzJj/+8Y/5yU9+QldXFwD33HMPl1xyyaDOads2t99+O7FYjMWLF7Nq1Sqampo4/PDDe48xTZMDDjiA5cuX5z1PKpUiEon0+SPGN59ezplTv0eNOaG3rcyo5LTJ3yCQ5wvZxmhP3i9aD6xcQXc6NSK5jjfDcb0OpfYoy64KsePk/lo6KswaPjPxPOYG90b58JHQUFwcUHUsiysOx6uPnqVK2+Ixfvvyi3njv33lv7TEYgXMaGyQ67X0BfRyvjT1u1SZ9b1tYVc1n59yMX6jbMjnXxft4dcvv5AzlrQsnl67esjvIYaHXK9iJFSadXxp6neZ5J3V2+bVApzQ8CUmbjPjozkW5dbXX8l5jp50mlea8y/fOh7J9Sq2VenefJ1N9c3pbfNoPo6pP52p/uHZLqorkeSeFW/njLXEY6zt7hqW9xmL5HodOn+e/tTTJ3+ToFZWvMR2wKzAHhzf8CU8mq+3bZpvLl+e9gNCRv9JKEPRHIvym1e2fqd9/GPH0RaPsSbP9fnIByvpKdF+Zcu2+dMbr+bZ6RN+/sKzdKdG3zYvYucVddnVCy+8kDPOOINrrrmmz/KnRx55JKeccspOnev1119n8eLFJJNJ/H4/99xzD3PmzOktMNbU1PQ5vqamhjVr1uQ931VXXcVll122UzmIsc2n+/DpMzl9yrdI2Qmy2HhUH5Xu/qPQetJRUtkYLfH8DyWZbJa4lckbFztuKNfrlsKhk80OfGAOWwqWMmlSiB0n99fSUmHWcnzDF/hY7adJZ5O4NS8+PYBPDxY7tZ0Sz2RY39OdN74uEiGeSQO+vMcMJGEl6bE66bG6sbIZyowwLtVDuVmao3SHi1yvpc9nBJhqzOHzUy4maSdwcPBoXip3cJZEV6qLpBOjO92BpugEjTJ8WhCfsflacRyHlnj+wv37nR3D8nuIoZPrVYyUWk8jn5l4HqlskoyTxqP6CBmVuDRX7zGWkx2wE/GDTplVtS25XsVHVbsb+FTjOaSyiQ+vMy9+I4xHG/reyq3JJtJZh3Q2/96RH12tS2w1nq7XznQbKTtJZ6Ydt+bBpwWoztHnubM296fO4owp3yJpx8ni4Fa9VA3DubdoT/XQkYrSYyWoMAOUGz6CrqFvDeDTAyyqOJQ5wT1J2DF0xcCnB0dkoG4m2/deWltby9ub1uc9Pus4xDKl2a+cztqs7Mr/PWFdT4SkZRHKvYOZGEOKWnx84YUX+PWvf92vvaGhgaam/Bsu5zJr1ixeeeUVurq6uPvuuzn99NNZtmxZb1z5yNQkx3H6tW3rkksu4cILL+z9ORKJ0Ng4vNOpxei0ZWmZfDpSHayKvcPd62/lY+Hz8h7n0XV8hitvXOy44bhepYAoRGHI/bX0hFwVhBjeUZuFFjBdzK6s4s22lpzxXSoqCbgG982mO9XFhuRq/rjmF8Ttzcula4rO4TXHs7B8PyrdY3ePHLleR48dLTZuqy3Zwkud/+bh5r9hO5uXK/ZqPk6ddDYNnmmUu0KoisKUUHm/pZ622L1m+DqNxNDI9SpGUtisGTBuqBq1Pj9NsdzbisyvGfg79Hgj16vIJWwO/zPlhvgabl51LQeHP4ffcBHNpHMeNz08ur8LjKTxcr22p1p4pOke/tOxDOfD+WrlRgWfn/J16l0TMYZh396K7fSnDtb6eDsXvfxHPohuXcpzaeUuXDz3BKrcQx9UqykaZa5Kysi9PPJwMbW+99IVK1bQOKF+wOP9g/yOO9JMTWdBTR3L16/NGZ9dWYVX9oIeF4q67Krb7c45XX3FihVUVVXt1LlcLhfTp09n4cKFXHXVVcyfP5+f/exn1NZu/mD7aDGzpaWl32zIbZmmSTAY7PNHiB0Rs7v545obiNkR0koLcypz35w+t+vuhN1DH8Umhud6Hcyej1teI8uuCrHj5P4qRkK528sXdluArvZ/tNVVlS/tvpAK7+BGvsayPfx21U96C48AtmPxUNNdrE+sGuCVo59cr2PbxuQa/tF0Z2/hESBux7j5g2tJ2pu/o00uK+frey/J+fqw28Oedfk7RERhyfUqiqne7+O8vfbKGav1+ZlVWV7gjEqbXK+iEFqSm/jV+1fTnm7hzdhTnD4/9xKuM8IV1PlHz3YLhTYerteEneCFjn/xfMdTvYVHgM5MOze+fxWddlsRsxtYW6qHC1/8fZ/CI8C/297hF+8+TMIqzWVJc6nx+blw0dLen0967inK3W52zzOA5+Q5u5Zsv7Kmqnxil7mYWv95bwpwwV6LBz04WIwuRS0+Hnfccfzwhz8k8+EUYUVRWLt2LRdffDEnnXTSkM7tOA6pVIopU6ZQW1vLY4891htLp9MsW7aMJUtyf5EWYrBimThPtz7Se7N+sv02fnTQXuw3YWLvMaam8fnd9uBz83an3FOaN4lxaQhTH2XWpBBCFF+1z8PNRx1PvX/rUv71/gC/Oep4qobwpey/Hf/CdnIvU/VY8320JZtzxoQoZW3JZh5rvjdnLIvN8+3LsO3N/+73qK3j+/seRHCbDoK5ldX8+bhPMLVsbC89LITYMd1WO+FQC/+zaC9828xk2L2mhhuOOpCu7PtFzE6I8akltZGI1QXAWz0vsqBR4Uu7z+9TDFjc0MhNRx7HpJAMEBjPejJdLGt9OGcsYcdYF/+gwBntuNZkN2vjuYujjzW9Sns694z8UqQoCodOnsp3lxzQey8NZuFnhx3NQZOmsGXeg0vV+Ozc+Zy5+0LCJdyvPCEQ5PbjP8mkUFlvW5XXx2+OOp7p8h1i3Cjqsqs/+clPOOqoo6iuriaRSHDAAQfQ1NTE4sWLueKKK3b4PN/+9rc58sgjaWxspKenh9tvv52nnnqKhx9+GEVRuOCCC7jyyiuZMWMGM2bM4Morr8Tr9e70vpJCbE/KTtCW2jrLNm7HuGPTTzh+j49xzqKPYdkq9b5qQi7voGdgiOG1ZfnlbFYqiEIIMZpVegMcMCnAbcd9ku7U5hGuIdNkctngO1OSVorm1Ma88fZ0MzY7v2ewEMVmO1naUrmXKYbNHZbJbBKf5qMxGOITs+dw4MTJdKWSmJpOwOVi4jYdCUKI8c12LB5uvZXZZXvym2MPJm3puDSVdusD7mm+lsUVBzO/bO9ipynEuNKS3NTn5/ubb2J+7RJ+P+1A0pZCnbcGn+6mIRgqUoaiVNiO1WeVl49qSubfd7DYWpP9V1TcwnayJKzcSw2XqrDHy2m77cER02fSnUzSTpawy8sVBxxKTzpNLJMm6DIJmW6qfL5ipzsgXdPYo7aev55wMp3JJLaTpdztocbnR5Ul5MaNohYfg8EgzzzzDE8++SQvvfQS2WyWBQsWcOihh+7UeZqbm/nc5z7Hpk2bCIVC7Lbbbjz88MMcdthhAFx00UUkEgnOPvtsOjs7WbRoEY8++iiBQGA7ZxZi57g1L/WeiXwQW9HblsomeLr9XuBe5gX3ZG7lFyg3pfBYcga17OoI5CGEEGJIhlJs/Ci3bjLBM5k3ul/MGa9xN6ChDdv7CVEouqJR627o88y6rQbPZHzG1g6NoMtN0OUuVHpCiFFGU3SCejlv97zI2z3975kNnklFyEqI8a3O039fwlcjy3k1shyP5uPrFT+kxiOFR7H5Mzygh+ixunPGGzyTC5vQTqjxlOWNGYqGTx99S3u6NI0JgSATAtsu8Vu6Mxy3p9rnp9onSzuPV0UtPm5x8MEHc/DBBw/69TfffPOAcUVRuPTSS7n00ksH/R5C7Aiv4WFp5aE82/5kvyXaFBQOrTmWclOmlpciKSQKIYTIZY/yxTzZ8gDpbP/9Qo6oPYlKd3URshJiaCrc1RxRexK/fP/KfjFDcbFn+dIcrxJCiNzCehWH1hzD3zb8oV8sqJdJ8VGIIqh01VDhqqY93X+lgwOqjiBolBU+KVGSQnqYQ2uO5Z4Nf+wXC+rl1Hsm5nhVaagyg8wKNLCiZ0O/2PGNe1NhStFLiGIq6p6PAE888QQf//jHmTZtGtOnT+fjH/84jz/+eLHTEmLQvGqQM6d+k5Cxtcjo14OcNvk8gnpFETMTA3GGUH2U1QKEEGLsCmhlnDXtEipcW4uMHs3Hpxq/SJWrroiZCTE0la5aPt34ZTza1hmOFa5qvjr9Yvy6rBAjhNhxuq4zN7iAw2tOwFBcve0NnkmcNf0Sqt1yvxSi0KrctXx56kVM8k7rbdMUnQOrjmKv8v3x6LIil9jM1E12DS3k8JrjP/IZPpmzpl9c0p/hYdPPj/c4lb3C2/47Vzluwt6cMfUgTM01wKuFECOtqDMfb7jhBr7+9a/ziU98gvPPPx+A5557jqOOOoprr72Wc889t5jpiTGuIx0hmknSnYniUg38upsGb9WQz1tmluFTfZw7/bsk7BgODl7NT1AP4x6F0/3Hui17PjqD2fPxw4KlzJoUQpSi5mQncStJ1Erg1d34NJNaT/9BMN3pKF2ZGAk7RUD3Uu7y49VlecUtfIaPqcYsvjrtEpJ2HNux8OoBAnoAry4jacXIaE50ELOTxKwkft2DVzOp8Qzv6hkV7ip21/dhmn8WMSuKpmi4NR/V7tphfR8hRGlqT3UTtZJEMjFM1YXf8FCf4zlhR1W6a9i38gj2DC8lbsVwqS5M1UOVu2YYsxZidNnc75SgOxMb1n6nHVXraeC0SV8jlU2Qyqbwaj48qp+QKcutir4qzGr2rzqCheH9iFlRXKoLt+ah0iz9z/BaTzlXzD+FzkyMhJXGb7gJu/x4R0EfbCKToD0TJZKJkyVLyPBRrgfwu0bvMqtCbKuoxcerrrqK6667rk+R8Wtf+xpLly7liiuukOKjGDGbEh08vOl57lz3FOlsBoAGTyXfmfM5pnpqMQxjSOc3DINqo3RHBon+hjLzUQghSs2mRDu/Wnk//257A4fNn2/zy6Zx4axPMWGbDo9NiXaufOvPvBVZDYCKwmE1C/nitKOpMIO5Tj1uSUFGFMqGeBs/e/cuXux8t7dtn4rZnDP9BOq9lcP6Xh7dg0eXzg0hxpumRDt3rX+av29YjvXhdiGTfbV8Z85nmeqvH/R5Q64gIeT5QQjY/Jz98Kb/jFi/046SLQLEjgoYIQLG6CxMB11egq7RNZu3PRnh/dhG/vedv9CR7gHAp7s5a/pxLCifSY27vMgZCjF0RV12NRKJcMQRR/RrP/zww4lEIkXISIwXL3as4E9rHut9AATYkGjjold/RVOms4iZiUIbStFxy2tl2VUhRClpS3Xx2/f/wTNtr/cWHgFe7Xqfq97+M5sS7QB0pCJ87/Xf9RYeAbI4PNL8AreteYyUnfnoqYUQI6wp0cG1K+7sU3gEeK79bX6x8l6aE/KcKoQYmoSd4PHml7hn/b96C48Aq2NNXPzqTayPtxYxOyHGjpc635N+JyFEXhErxvdev7m38AgQs5L85J07er+zCzHaFbX4eOyxx3LPPff0a7/vvvs45phjipCRGA/Wx1v585rc+4pGrQSvd31Q4IxEKRhaEXIYExFCiCGKWkmebn01Z+ydyFp6rAQAbaluVsU25TzuHxufoyMtA8GEKLSYleCVrpU5Y8+3v03cThY4IyHEWNOW6uHudctyxtrTEdbEmgqckRBjz4Z4K39e81jOmPQ7CSGSdpIHNj7bZxDQtm5b8zgtSRmkIEa/oi67Onv2bK644gqeeuopFi9eDGze8/Hf//43//M//8PPf/7z3mO/9rWvFStNMcZkHYeWVP4P8JXRjQXMRpQKKSAKIcaKmJUkS/4PtfZUNwQm0DTAl5mMYxO3UyORnhBiAD1WPG/MwSH64eABIYQYrEzWIjLAZ82qWBNLq3YtYEZCjD1Zx6F5gGdt6XcSYnyLZlKsHmCwz7p4i6xEJMaEohYfb775ZsrLy3nrrbd46623etvLysq4+eabe39WFEWKj2LYqIpClVlGa6orZ3yaX/ZqHJcGUX3c8hJZdlUIUUq8momKkrcAGXZt3oupxl2W9xy6ouHVzJFITwgxgIAx8F41Pt1doEyEEGOVoej4dU/ewQyTvDUFzkiIsUfZTr/TVJ/0OwkxngUMNxO91XlXPKn3VGKqRS3bCDEsirrs6qpVq3bozwcfyHIEYvjUusr59MSDc8Z8mpvdQtMKnJEoBbLsqhBirPDrHpZW5p6xMMM/gYDhAaDSLGOitzrncYfX7kW5ERixHIUQuXk1D7uGpuSM7RWehVeKj0KIIapwBTlhwn45Y+WGnyn+2gJnJMTYs71+p/ll0u8kxHhmaiYfr1+MquQuzZw66VCqPeECZyXE8Ctq8TGRyL9s0KZNufcgEmKodF1nn4rZfLLxAHRF622vNsv58fyvUOmSztbxSAqIQoixospdxlemH8Oi8Ow+7bODk/ju3M9S76kEoMIMcsVuZzLd39B7jILCgVXzOWPKx3DrroLmLYSAOk+Yb+7ymX4FyD3KZ/C1mSdR65ZOCCHE0HgNN0fU7s1Rdfv06fRs8FRy9fyvMCHPwCQhxI7b0u/0qcYD+/U7XS39TkIIoMzwc9m8Mwgavt42t+biazNO7P3OLsRoV9T5u3vssQe33XYbCxYs6NN+1113cdZZZ9Ha2lqkzMRYV+up4JONB3JU3T50pntwaQYB3csEb1W/Y3syUaJWlJgdw6UYeDQvVW65CYw1g5n5uOU1suyqEKLU1HkqOH/mScTsJJFMHL/uwae7qfNU9Dmu3lPBj+d/mc50lISdImh4KTMC+D+cHTmadaQ6SNgJEtkkHs2DT/VSZpYVOy0htqvBW8m3Zp9CzEoStRIEDC8+zaT2I9fvjuhJ99BjR4nbcUzVxKO5qTTlOVaI8a7WE+aLU47gM5P2I2bFMFUTt+am2t3/+7AQYnBqPRV8ovEAjqxbtN1+p1xSVorOTCcxO4am6Hg1r1yjoiQ0J5uJWwmyZPFpPiqNCnRdlgjdWRXuEPN1k58vOI9IJoadzVJuBvCpHsJuGaAgxoaifjIcdthhLFmyhEsvvZRvfetbxGIxzj33XP76179y9dVXFzM1MQ5UmCEqzBATffn3tGhNtfKf9v9y/8YHSGaTAEz1TeGLUz7PBG9D3teJUUiWXRVCjDE1O7hMS5krQNkYG33dkmzljnV/5cXOl3Bw0BSNxeF9OK7hGOm0EaPCRwcKDEZrso3Hmh/nyZanyDgZAOYG53Da5M9S65Y93YQYz1qTrfy77VkebHqYVDYFwAz/dL4w5QzqPbIXnRDDZUf6nXJpTbbzTs873L7uTqJWFIAGTz1fmvIF6sxaPGNgoKAYfXpSPWxIbeTmVb+nJdUCQJlRxucmncJU3xTCpqzQsbN8ulv2dBdjWlGXXf2///s/7r33Xn72s5+x//77M3/+fF599VVeeOEFzjvvvGKmJgQAb3W/zZ3r7+otPAJ8EFvFT1ZcS1OiqYiZieEylL0ekaKjEEKUnNZkG39Y8yf+2/kizocf1LZj80z7v7lnw710pjuLnKEQIy+WifFU61M80vxYb+ER4M3IW9zw3i9pSbYUMTshRDGlrBQvdb3CPRvv6y08ArwXXclPV1xPc7K5iNkJIQCakpv47arf9RYeATYkNnLNip/SZXUVLzExrkXsCD9ZcV1v4RGgK9PFDStvpEO+Ywkhcihq8RHg8MMP58QTT+Tf//4369at4+qrr2bOnDnFTksImhLN3LfxgZyxzkwXaxPrCpyRGElDqUHKsqtCCFE6ktkkr3e/kTP2XPt/iNv59xwXYqyIWBEea34yZ2xdYj1dme4CZySEKBUdmU4e2Phgzlhbuo0mKT4KUVStyTbu2XBfzljCTvBS1yuFTUgIIGNneLrtmT6D2rZwcPj7xgdkkKcQop+iFh/ff/99Fi9ezAMPPMAjjzzCRRddxHHHHcdFF11EJtP/w0yIQrKxaU+3541/EF1duGTEiBvKDEhZdlUIIUpH9wBFlSxZYlasgNkIURxJO9VnRtNHbUxsKmA2QohSYjkWESuSN746tqaA2QghPsp2LNYnNuSNfxBdhZW1CpiREBC1owPeH9YlNpC08z97CiHGp6IWH3fffXemTJnCq6++ymGHHcbll1/Ok08+yd/+9jf23nvvYqYmBBoaft2fN17nri1gNmLEDaKCuKVgKTMfhRCidAx07wbwaLJHjhj7TM2Fpmh541VmZQGzEUKUEl3RcKv595eqle+5QhSVoqhUDnCfrnXXoKt6ATMSAtyKmxp3dd54pVmBoRoFzEgIMRoUtfj4y1/+kttvv52ysrLetiVLlvDyyy+zYMGC4iUmBBB2lXNYzSE5Y27VzczAjAJnJEbSkLZ+lJmPQghRMryah4neiTljc4Kz8Wj5O1yFGCt8uo99wrkHc4Zd5VS4KgqckRCiVAT0AAdVH5Az5tN8TPI2FjgjIcS2atzVHF13RM6YpmgsrtinwBkJAR7Dw8HVB6GQe/T90XVHUmnK86UQoq+iFh8/97nP5WwPBALcfPPNBc5GiL5cmoulFYtZUrG4z801qAf5n1kXUG6UFS85MeyGsuyqEEKI0lHtrubsaV9mgqehT/tU3xTOmHzagCPJhRgrQkaIExqOY9fQvD7tla5Kvj7zfGo9NUXKTAhRbH7DzyHVB7NX+cI+7WVGGf8z6wIqdOk8FqLYZgZmcGTtx1C36bb1ah7Om342AWPgVT6EGClBPcCXp34JUzV72zRF4xMTTqTeU1fEzIQQpaoo8/TPPvtsrrnmGvz+zTfMP/7xj5xwwgm9P3d1dXHKKafw4IO5N0EXolCq3FWcNOEEjq47kuZUCz7NS5mrjKAWwK3LzImxZDDFRylYCiFEaarz1PG1GecStaJ0pruocIXx6T6q3VXFTk2IgqlyV3H65M+RsOK0ptsI6AGCRpBatxQehRjvqtyVnDzxkxzXcAwtqVb8mo+QESKslWMYsmyeEMVWZVZxeM2h7F+1H03JJkzVpMIVJmgE8ereYqcnxqmwGWaeMofL5n6ftnQbtmNTbVbj1kzCrnCx0xNClKCiFB9//etfc+mll/YWG8855xyWLl3a+3MqleKRRx4pRmpC9LNl2YAJ3obtHCmEEEKIUlHjrqaG/PuSCDEeVJmVYMJEX+6liIUQ49eWvV8bvROKnIkQIpewubmYIzPKRCkJuoIECVLnkf2BhRDbV5RlVz86W0hmDwkhim4wH0Py0SWEEEIIIYQQQgghhBBC9FHUPR+FEKJUyCAIIYQQQgghhBBCCCGEEGLopPgohBBI8VEIIYQQQgghhBBCCCGEGA5F2fMR4Pvf/z5e7+ZNktPpNFdccQWhUAiAeDxerLSEEOPUYGqPzofrrkrhUgghhBBCCCGEEEIIIYTYrCjFx/33358VK1b0/rxkyRI++OCDfscIIUTBDKGAqCjKMCYihBBCCCGEEEIIIYQQQoxeRSk+PvXUU8V4WyGEyGswsxdlwqMQQgghhBBCCCGEEEII0deo2PMxGAz2mxkphBDDSQqJQgghhBBCCCGEEEIIIcTQjYrio+ynJoQQQgghhBBCCCGEEEIIIUTpGxXFRyGEGGmDW3ZVBkYIIYQQQgghhBBCCCGEENuS4qMQQoCsuyqEEEIIIYQQQgghhBBCDAMpPgohBIOsPUrBUgghhBBCCCGEEEIIIYToY1QUHxVFyRu76qqr2GuvvQgEAlRXV3P88cezYsWKPsc4jsOll15KfX09Ho+HAw88kDfffHOk0xZCjCKyhKoQQgghhBBCCCGEEEIIMXSjovg4UFFg2bJlnHPOOTz33HM89thjWJbF4YcfTiwW6z3mmmuu4dprr+WGG27ghRdeoLa2lsMOO4yenp5CpC+EGA2k+CiEEEIIIYQQQgghhBBCDFnRio+ZTIapU6fy1ltvbffYhx56iIaGhpyxhx9+mDPOOIO5c+cyf/58brnlFtauXcuLL74IbC5cXn/99XznO9/hxBNPZN68edx6663E43Fuu+22Yf2dhBCj12Bqj1KvFEIIIYQQQgghhBBCCCH60ov1xoZhkEqlBlxSdYt99913h8/b3d0NQDgcBmDVqlU0NTVx+OGH9x5jmiYHHHAAy5cv5ytf+UrO86RSKVKpVO/PkUhkh3MQQhTWcFyvsuyqEIUh91chRg+5XoUYPeR6FWL0kOtViNFDrlchhBi8oi67et555/HjH/8Yy7KG5XyO43DhhRey7777Mm/ePACampoAqKmp6XNsTU1NbyyXq666ilAo1PunsbFxWHIUQgy/Yl2vUrAUYufJ/VWI0UOuVyFGD7lehRg95HoVYvSQ61UIIQZPcYrYe37CCSfwxBNP4Pf72XXXXfH5fH3if/vb33bqfOeccw7/+Mc/eOaZZ5gwYQIAy5cvZ+nSpWzcuJG6urreY88880zWrVvHww8/nPNcuUa2NDY20t3dTTAY3Km8hBAjayjX66cnfJn2jZ385J+XMv+AuTv1viteWsX5h1xBzcRKbn316kHlLsR4I/dXIUYPuV6FGD3kehVi9JDrVYjRQ65XIYQYvKItuwpQVlbGSSedNCznOu+887j//vt5+umnewuPALW1tcDmGZDbFh9bWlr6zYbclmmamKY5LLkJIUbWsFyvgxmGITMfhdhpcn8VYvSQ61WI0UOuVyFGD7lehRg95HoVQojBK2rx8ZZbbhnyORzH4bzzzuOee+7hqaeeYsqUKX3iU6ZMoba2lscee4w99tgDgHQ6zbJly/jxj3885PcXpWN1tJ2sAxoKkwLhYqcjRhlZQlUIIQbWk0rQno7jAIaiMsFfXuyUhBgz1kQ7yDoOCgqT5TlWCJHD2mgnlmOjolBlBvC5XMVOSYhxLZpJ0ZaK4jigKyqN8mwsxJi1LtqJ5WRRFKg0/fgNKUgLsSOKWnwEsCyLp556ivfff59TTjmFQCDAxo0bCQaD+P3+7b7+nHPO4bbbbuO+++4jEAj07uMYCoXweDwoisIFF1zAlVdeyYwZM5gxYwZXXnklXq+XU045ZaR/PVEA62Kd/KvpfX694t9sSkRo8IY4a9a+LK6ZQqNPHv7EjpHioxBC5Lc22sGtK//D39a8SsxKs3u4gYt2PZRGbxk1XlluSIjBWhft5PnW1fzynWdYH++i1hPkyzOXcGDddCbIc6wQAtgQ62JlTxs/feNJ3uluJmS4+czUhXxqyh5M8JUVOz0hxqV10U7+9MF/+euql4laKXYrr+cb8w6m0RemwRcqdnpCiGGyMR5hTbSdn7zxBK93bsKvm3xqyh6cOnWhDDgQYgcUtfi4Zs0ajjjiCNauXUsqleKwww4jEAhwzTXXkEwm+dWvfrXdc9x4440AHHjggX3ab7nlFs444wwALrroIhKJBGeffTadnZ0sWrSIRx99lEAgMNy/kiiw5kSEv3zwIr9999netg3xbr778j84d/Z+fHbq3oTd3iJmKEaLwdQepV4phBgP1kY7+Nrzd/NWV1Nv2ysdG/jssj/wxwNOk+KjEIPUmYpx/7rX+dlby3rbmhIRfvjqw6yLL+ILM/ahxiPXlxDj3Ztdmzj3ubt6f+7OJPnVimd4o3MTl+1xpHR+ClFga6MdfOOFe3mlY0Nv22udGzn9X3/id/ueKsVHIcaQVT1tfOGZP/fu1BS1Uvzuved4uX09/7vX8UyUe7AQA1KL+ebnn38+CxcupLOzE4/H09t+wgkn8MQTT+zQORzHyflnS+ERQFEULr30UjZt2kQymWTZsmXMmzdvuH8dUQTRTJpb33s+Z+w3K56lKxMvcEZi1JJKohBC5LQ62tGn8LhFFodrXn+c9bGuwiclxBjQmU7w6xX/zhn748oXiGbSBc5ICFFq1kTb+fHrj+eMPdPyPp1p+b4rRKFtjEf6FB63cIBrXn+cddGOwiclhBh2a6OdXP3aY+TqLXy5Yz2bEt0Fz0mI0aaoxcdnnnmG7373u7g+slfBpEmT2LCh/41ciI9qT0XJONmcsVTWoiMlX8bEyJGlWoUQ48HTTe/njb3asYF01ipgNkKMHZ2pBEk79/VjOVlakz0FzkgIUWriVoZ1AwzyebF9XeGSEUIAsLxlVd7Y293NJLN2AbMRQoyUlG2xItKSN768Of9ngRBis6IWH7PZLLbd/6a8fv16WRJV7BBTM7YTL/q2pmKUkEKiEELkVm568sY8moGKUsBshBg7XJo2YNy9nedcIcTYZ6jagPfZcpdsMSJEoZW78j8bu1QNXSlqV6sQYphoqoKh5n9el22+hNi+ot4RDzvsMK6//vrenxVFIRqN8oMf/ICjjjqqeImJUSNkuKnLsxfOJH+YoO4ucEZi1FE2f5mX2qMYacubr+CP7+1T7DSE2GmH1u+SN3bCpN0IueReK8RgBA03U/wVOWM1ngBlUlQQYtwL6CYH1s3IGTNUjd3C9QXOSAixb+20vIMCjp4wl4A8GwsxJoR0N0dPmJMzpqKwtHpqgTMSYvQpavHxuuuuY9myZcyZM4dkMskpp5zC5MmT2bBhAz/+8Y+LmZoYJSYHKrh+0Un49L5L9wYNN9fudQKTAuEiZSZGjQ+rjoOZ+bj1JVK5FNv3fuTvxU5BiEEJaCaX7n5kv/ZdQjV8ccZiyk1fEbISYvSb5A/zk72PJ2T07aT06S5+vugk6k1/kTITQpSKGm+Q/2fvvuOjqrYFjv/O9ExJJr3TexekCNJEUAQVESzYey/Xcu3Xcu29X8uz944VRQUUEZUiTXov6XXSpp/3R0hImJkAIclkkvX9fHzvcvY5M2sG9pyy9l77lv7Hkmmx19uuVRSeGHoK0XpJcgjR0ixaAw8MmRqQfuxqS+DK3qNJkGtjIdqE+CgrV/UeQ1dbQr3tCvDgkBOxSpUSIQ4orDUp09LSWLFiBR988AHLly/H7/dz0UUXcdZZZxEVFbqMgRB19YpO5rNjLuLP/B1sLM2jV0wyQxM7kGmKCXdoIpLI1EchhAgqzRrDGKUrXx97KT/uWU+Rq5IxKd3oYosn0xob7vCEiGi9rIl8PP4ClhbsYm1JDt2jExmR1ImkKCuG/QbXCSHap862eF47ehbrSnL5K38HqeZoxqf2IEZnIsEkgxSEaGlplhhG0Jmvj72Mn7I2UOAsZ1RyF7pFJ9LRKgPghWhLOlrjeGnk6Wx25LModysJJisT03pi1RlJschzZyEOJKzJx8rKSsxmMxdeeCEXXnhhOEMRESxKr6eLPoEu+41EEeJQNCr3KAlL0QiqqqIoskaeiCwZluokY8+Y5DBHIkTbotfr6axPoLNcxwohGtDJGk8nazyTQ5R/E0K0rPS9SYceMUlhjkQI0dw6WuPoaI1jQlrPcIciRMQJa9nVpKQkzj77bH744Qf8fn84QxFCtHONKbsqRGP4VFe4QxBCCCGEEEIIIYQQQohmE9bk49tvv43L5eKUU04hLS2N6667jiVLloQzJCFEe3UYyUfJW4pD4VWd4Q5BCCGEEEIIIYQQQgghmk1Yk4/Tp0/nk08+ITc3l4ceeoh169YxcuRIevTowX333RfO0IQQ7cVhJA5ltqRoDFX1hTsEIYQQQgghhBBCCCGEaDZhTT7WsNlsXHDBBcydO5eVK1disVi49957wx2WEKIdOZw8oizfJw6FX5KPQgghhBBCCCGEEEKINqxVJB+dTicff/wx06ZNY/DgwRQWFnLTTTeFOywhRDvSmFmMMvFRNIaKN9whCCGEEEIIIYQQQgghRLPRhfPN586dy3vvvcfs2bPRarXMmDGDH374gbFjx4YzLCFEOyQlVEVLkZmPQgghhBBCCCGEEEKItiysycdp06YxZcoU3nrrLaZMmYJerw9nOEKI9qimZmpjco97E5aStxSHQkWSj0IIIYQQQgghhBBCiLYrrMnHnJwcoqOjwxmCEKK9q00gNj6DKGs+ikMhMx+FEEIIIYQQQgghhBBtWYsnHx0OR72Eo8PhCLmvJCaFEC3lcJKPMvNRHApVlTUfhRBCCCGEEEIIIYQQbVeLJx9jY2PJzs4mKSkJu92OEmTKkKqqKIqCzyezQ4QQLaMxCURJOorG8EvZVSGEEEIIIYQQQgghRBvW4snHefPmERcXB8D8+fNb+u1FK+VwVlHgqkKrKHSMjg13OEII0WxUKbsqwmxPmQOX34NZqyfFKlUmhGgOVW43OVXlAKRbYzBotWGOSAjRkvIqyij3etArGjKj7eEORwhRxw5HMT7Vj90QRVyUOdzhCCHaCK/Xy+5KByoqCVEWbHrTQR2nqiqFlVWoqkpslAmd3DeINqTFk49jx44FqjvkggULuPDCC8nMzGzpMEQr4Xa72VVVxjsblzNvz2aitDpO7zaIYzO60cEmSUjR/GonLzZiGqOKTH0Uh05mPopw2V1Wwo7yEl7853d2lBXTNTqeq/qNJM0cQ4YtJtzhCdFmbHcU8emW1Xy7cx0aReHkTn05qVNfOskAOyHavPzyMnLdFby4ZjGrCrNJirJySe9h9ItLJlPub4UIq51lxfyes4O3Ny6jzO1iZEpHLu49nBSTBZspKtzhCSEi2I6yYr7bsY7Ptq7B6/czqUMPzuw2iM7RcQ0el+Mo44f1m/hw+Wo8fh9T+/Rk5qD+pNtlkLBoG1o8+Vj7xjodjz/+OOedd164QhCtwK4qB6fNfZciV1Xttv8u+4k5O9fx2FFT6XSAH2khmsrhrPkoxKGQmY8iHAoqK5mftYX/LJlbu21PhYNfs7fx+FFTsRt7YjUYwhihEG3DdkcR5877iF3lJbXbnlq1kK+2r+X/xs2Qa1sh2rhNZYWcN+8jvKofgD0VpVy58Asu7DWUC3oeSYbNHt4AhWindjiKuW/Zj8zbs6V228dbVvHtjvV8MulsekvyUQjRSNsdRVy58AvWFefVbnt17Z98vX0t7x87K2QCMsdRxmUff8m63PzabS8u+ovPVq3lw3NPlwSkaBM04XzzCRMmsGDBgnCGIMKosLKCl/75o17iscbS/D1sLi0MQ1SivZLco2gpftUb7hBEO1TqqeKh5cHL3d+37CfyneUtHJEQbY/L6+Wr7WvrJR5rbHEU8kvW1pYPSgjRYnY4ivnPkrm1ice63li/hEqfJwxRCSEAcqrK6iUea1R43Ty+8hdyyh1hiEoI0RYszd9dL/FYI6eyjA82r6DM4wx63LJdWfUSjzVyy8r5ZMVqvD4ZuC4iX9hmPgJMnjyZ2267jTVr1jBkyBAsFku99pNOOilMkYlDlVXowOvzEWMxEWM5uBFjpR4nP+7eFLJ99vZ/GJfeFZ0mrDly0V40puzq3mNk1qQ4FKqUXRUtqNBRQbnTTTFVVIV46OlwOylyVh6wJIwQIjiv10tWcRmqTmXOzvUh9/t6x1qOTe9OupQ5FiJi7Skoxef3kxAdhdlUfy2nCq+bLY7gA2hV4O/8PfSwJ7ZAlEK0P1mFDjw+H/YQz6Tm7toY8tgFWVtlcIAQolEKqir4evvakO3f79zAmd0GBaz/WOXx8Nmqf4IeM/uU40jN7MieQgd6rZa0eJkBKSJXWJOPV1xxBQBPPvlkQJuiKPgkw9/q7S4oYfX2HD78dQWllU6O7JbJmWMHkWQ3Y4tqOAmpoKBvILGo12hRJKkjWkijEoh7D1EUpWmDEW2aX8quihaQW1xGvqOCN39cwqbsQm44Z3SD+2vkd0yIRtmVX8LPKzfz3dJ1nDiqDzqNNuS+Oo0WrfQ1ISLSroIS/tqwi88Wrcbp8TC6b2emj+xPx6R96zge6Fyq14b+fRBCNM7uglL+2ZnDBwtWUFxRxdDu1c+kkmMtWOsMEGjo2ZNWUeSeXgjRKBpFafD6X6/REOzXRaMEfyb+13WXUFjm5PlvFrN0825iLVGcOW4QfTukkJEgAxhF5Alr8tHvDyxHIiLH7oISXvx2Md8t3TfCe3tuMd8tXccb159Gz4yGk4+JJgsnderL6+uXBG2f2aU/WrlBEy1E8tyipajIuU80L6/Xyz+7crnp/77Bv/fHraLMQ4zBRKk7sORLUpQVu1HWuRHiUO3ML+aGV79mc3b1TKdvf1/PlON6saYoJ+j+p3cdSIpVRi4LEWl25Zdw34c/smTj7tptW3OK+Pqvdbx23Uw6J1dXDrDoDAyMT2VlYXbAa2gVhQHxqS0WsxDtwZ6CUl6as5hv/lpXu21HXjHfLlnH69fPpHfmvuTj5A69eHntn0Ff54QOvbHpZO1zIcShizOZOa3rAObt2Ry0fXqX/qSaA6//jTods4YMZP7mbbXbll93CbuKKrjwmU+oclfPxt5BMSu2ZXHisN5cPnkE6Qn2ZvkcQjSXsNWz9Pv9vP7660ydOpV+/frRv39/Tj75ZN5++20pYRghisur6iUea1S6PDz95UJyihqumW81Gjmnx2A62WID2qZ06E26VUZ0iJbTmN8d+a0SjaHKzEfRzPYUlfHgR/NqE48AH8z9m7sGHBsw60qv0fDoiClkRNlaOkwhIt7idTtqE48A63fn0UEby4C4wATDsKRMBiekt2R4Qogmsi23qF7isUZRWSXv/LyMkvJKADJtdv477Dis+sAkxh2DJ2DWSnJDiKZUUlFVL/FYo8rt4cnZC8mu80wq1mDmnB6DA/ZNjrJyTf9RJJitzRqrEKLt6hWbxNjULoHb7YlM7dgboy743K8+KUmM79659s8Op48nZv9am3is6+u/1lFSEXztSCFas7DMfFRVlZNOOonvvvuOgQMH0r9/f1RVZd26dZx//vl8/vnnzJ49OxyhiUPwy5qtIdv+2LCTKo/3gK/RKTqON8afxm/Z25izawNmnZ4zux1B15h4OgZJSgrRbCSRKFqIzHwUzc1R6aTAUVFv2+rtOcQtNPPahJn8nL+ZjY4CesYkMqv7IOKMFvR6fZiiFSIyZRU6mLN0Q8D2+9/6iVvOGk9FJzffZ29AQWFm1wH0j0uhY7Rc2woRaXw+H3OCDLit8dPKTZx37JHYrWYAukUnMPv48/li6xqWFewm1Wzj7B5DSDJaSZOZz0I0qYX/bAvZtmTjLpx1HuB3iLZzSe9hTMrswXsbl1PidnJMejeOzegu654LIQ5LR1ss9w6bxLriPD7avBKv38eJnfowPLlDg8+2E60W7j9hImtz8nh36QqcXi9LNwUOdqrx29rt9O2Y0hwfQYhmE5bk45tvvsmvv/7Kzz//zPjx4+u1zZs3j2nTpvH2229z7rnnhiM8cZAaWrNGQQla0zqYTtFxdIqOY1JGDwxaLXaTuWkCFOIQNGrJR8lXikaQ5KNobqHWrPll1VYW/bOdd248k9i+UVgNBqwGYwtHJ0TboFFAownsa5UuD3e/PpfxA7ryyGknYNBriTdbwhChEKKpBOvrNbT7rdcUpdfTNSaeawccTVFVJWa9nmijKcTRQojDsX//q0tRav7PPpm2WDJtsfSzp+DyeYk3RaELMSNJCCEORUdbLB1tsQxNysCnqiRFHdxs6kSrhbHdOjO8YwbZhWUoSuhnjdoGrkeEaK3CUnb1gw8+4Pbbbw9IPAIcc8wx3Hrrrbz33nthiEwcirH9u4ZsG92vM2bjoc2iSLLYJPEowkZKqIrmpKr+Ov9byq6K5mWLMpISG7yMql6rJcqgI8Vqk8SjEIchJS6ak4b3Cdk+tHsmqTHRkngUIsJptVqmDgvd148b3IM4W+A9rEGrJcVqk8SjEM1odN/OIdtG9e5ElCH4Myl7VBTJVpskHoUQTS7eZDnoxGNdJr2eKKOekb06htynod88IVqrsCQfV61axfHHHx+yffLkyaxcubIFIxKNEWMxcfrogQHb7RYT15w4iiS7rB8lIoes+SiaU93ZjiqSfBTNq2NSLHfPmohOW/8yT1HgttPGExMlSUchmsKQbhn07xRY+qhneqI8HBCiDclMiGFckIG3aXHRnDn2CGxyXhUiLGxmA2eNPSJge7TZyHUnjQ45GE8IIVqjlFgb1588hmhz4HXFWeOOwGqStaNF5AnLMJ+ioiKSk5NDticnJ1NcXNyCEYmDUVbhpLzcicmoJ9ZuIT0+hnOOGczY/l344JcVOCqdjOjZgclH9qJTstTMb29UVaW8woVWq8EcFYEnxMbkESX5KA5S3dmOflXKrorGczo9uL1eDDotxaWVGA064mIDR1b2SEvg/Ztn8fHClWzcU0B6QgxnjTuCBJuZ2Oj2MxPL7fbicnswGfXo9ZE5ut3j9VHldGM06DEaIvMztFZer5f8ogp0Wg2J8Yf+gDIz0c6D507m7617+OrPtaiqypShvRnaPZPMRHvTByxaPZfbi9vtwWQ0oNdrwx2OOEi197kmA7ExgbMYMxLs3Dh9DFOH9eazRauocnk5ZmBXxvXvSoekyF7L1efzU1HlwqDTYTK1r/Wf/X6VikoXOq2GqEi8f23j8vJL8asK8bHVpVFrlhVw7b22izIZSI+3M2vcEYzq24kPf11JaUUVw3p0YMrQXqQFuT4Wka2qyo3X58diNjZYDluISJRf4MDnV+mYGM3bN5zBt0vW8dfGXcRYojhjzEA6JsWSHh8T7jCFOGRheYLh8/kaLG+g1Wrxer0H/Xq//vorjz32GMuWLSM7O5svvviCadOm1barqsq9997LK6+8QnFxMcOHD+eFF16gb9++h/Mx2o3S0ioKSsqZPWcFG7bkkJIYw8wTh5AQbyEjyU5Ggp2e6Ym4PD5ibSaiDHLh3t7k5jv47a/N/PTrOgwGHTOnDqZ3jzTiY1v/A+6aZSAOZxZjA8ufCgGAv97MR0k+ikNX6qhi6858enZJoLikiu/nrWH56l3EREdx6tTBZKbFkpZsr93fZjJSXurkmhNHUV7lwmw04K4swxbVPsq/VTnd7Mkp4aMvl7JjdyHduyQzY8pg0lJiMIYowdXaeL0+svNK+WLOCtas30Nqkp0zph1JZlosVkv7+HtsTruzivn1j038+ucmTEYdJx03iJ5dk0hPObREQmaincxEO8N7ZqKqkBIb3UwRi9asotLF7uxiPpy9hD05JfTunsr0E44gNdmOQZKQrVaxo5KSkkpmz/mb9ZtzSUywMXPqEJITbaQk1X/AZ9HpObpXJgM6peDx+Yi3mCgtc4cp8sPn96vk5JXy3bzVLPl7B3F2M6dPG0qXDglE26LCHV6zy84r5eeF61n45yasFiOnn3Qk3bskB00+i5a1O7uY1Wv38N281fj8KhPH9GbooE5EW7Rk5VXywRdLyM4roV+vdKYdP4i05BjSE2LomZGIyy3PpNqi4tJKNm3N5aOvllJe4WL08O5MGN2L1CRJxIjItye7mDUbs/jmx9X4vH7Gj+rJUUd24cJJQznlqP4YDVriba3/2aoQoYQl+aiqKueffz5GY/DyJC6X65Ber6KigoEDB3LBBRdw6qmnBrQ/+uijPPnkk7z55pv06NGD+++/n4kTJ7JhwwZsNinDcCBbd+Vz4z2f4vFWz9xZtymH+b9v4IbLjuXo4d1JjLMS345mUYj6cvIdXHvHh2TnldZuW756J0cP68bNV04izh4Z/zYaV3a1GQIRbZKs+SgOR1m5kw+/XMKZJw8iK6+ca+74kPKKfddKi5dtZeaJQ5h54mBSk+wArNmQxQ33fILPVz/ZffcNUxlzVI82/TDc4/Xxx/Jt3P3YV7W/0+s25fDtT6t57K5TOXJgx9rR863Zxq15XHPHB7g9+66/5i1az01XTOS4cX0xHeLa2mKfXVnF/Ovuj8nNd9RuW7ZqJyOHduXai44hPcV+yK+ZbJekY3vl9nhZ+OcmHnhmTu22dZty+HruKp667zQG9skIY3SiIbv2FPGvuz/B7d478HlTNr8s3sjVF45n3FHdSU6sfrBdXFLBUy//xILFG+sdn5wYzfMPnBGQqIwEO3YXcsWt71FRuS+B+tuSLZx32lGccfKRbXqQy56cYq645X2KSytrt/3193ZOnDiAS88ZjT1aEpDhsju7mPuf/o5/NmTVblu9bg9dOibwwK3TuOSmd2q3r9uUw5ffr+DZ+8+gb880eTjfRpU6qnj13YV8/eOq2m1rN2bz8VdL+d8jsw550JgQrcme7GIeeeEH/l6zq3bb6vV7mP39Ch65czoZqfLvW0S+sKz5eN5555GUlERMTEzQ/5KSkjj33HMP+vUmT57M/fffz/Tp0wPaVFXl6aef5o477mD69On069ePt956i8rKSt5///2m/Fht0u7sYh594YfaxGNdz78+n8rKQ0sUi7bF4/XxxZy/6yUea/z212a27yoMQ1SNI4lE0ZxUvHX+t8x8FIemsLiCdz/7k0qnyotvLKiXeKzxydfLKK+ofoCYX1jGA898F5B4BHjkhR8oKi5v9pjDqbC4nIef+z7gd93n8/PAM99RUNT6P39RSQUPPvtdbeKxrqdf/Zmi4oowRNU2lJVV8ek3y+olHmv8vmQLWTklLR+UiGiFxRU89r8fA7Z7vD4efHZORPzmtEd7ckp47MW5+xKPdfzvrV9wuvZt37mnKCDxCNXVXz79ZjmeIL/VrVlZuZOnX/25XuKxxlsfL27T5xin08PrH/xeL/FY4+sfV5GXXxaGqESNNeuz6iUea2zdUcCvf2zip4+urbfd7fHx0HNz2vS/2fYuJ7+0XuKxRnFpJW98uBin0xOGqIRoGhu35tVLPNbYuaeIH39Zh9sdWdcXQgQTlpmPb7zxRou917Zt28jJyWHSpEm124xGI2PHjuX333/nsssuC3qcy+WqNwPT4Qh8QNEeVFS42J1dErTN7fGxK6uYjhnxLRuUaDVKSqv4ft4/Idu/mruSQX0z0Giad5xDk/TXRs18lIylODgy83EfOb8eur9WbAPA6fKwdNWOkPv9uWwr3TsnUVpWRV5B8IdnTpeHvIKyiJylcbAKiyqorApeCq+wuIISR2Wj1vdrSY6yKnbsLgra5vX62b6rkLRGzM47VG2xv5Y4qpj32/qQ7XPmrWFw/0y02rY7O1g0rayckqAJrJo2R1kVCXHNv/ZYW+yvzami0hVyoKTP52fz9nw6ZsSjqmrQB981vp//D6effGSrP6/U5Sh3snz1zpDty1bvpEMbvccvLa9i3qLQ54B5v2+gR9fkZo9D+mugvMIy5sxbE7J97oK1jBnePWD7jt1FOMqriIuAJV/EoZu/aEPItp9/W8elZx/d7OvVSn8VzaHEUcl381aHbP/x17UcO6YXmWlxLRiVEE0vLDMfW1JOTg4Aycn1LyCTk5Nr24J56KGH6s3GzMzMbNY4W6sDpVb8fpnB076p+BtIwPn9/gP+G2oKTdFf/X5JJIrmo9Zb87F9Jx/l/Hro1Dq/Tw2Neaj9HTvAz1lDv9ttwYEGhkTEx28lf4dtsb+qNPz9+f0qqtr6y/KK1uOAvzktFEdb7K/hVPfc29B9QmSeUw90nozEz3RwFOr/3e7PH6RqRHOQ/hqEeoBnC6oa8iKuDf+Tbfca+v1V/WrEPG8SYn+qX234+kKeUYo2os0nH2vsv7aPqqoNrvdz2223UVpaWvvfrl2B06DbA4vZSEpS8DVsdDqNzHps5+zRUUwc0ztk+9RjB6Bt5lmPcHj9tfZGpTF3LHItIA5S3YRj3VmQ7ZGcXw/d0EGdADAadAzqG3rtsOFDOgMQEx1FfIjR3waDjuSEtr02XUKcNeR6iPYYc0Ss5WSzmUKuO6jVKHTukNAicbTF/hptMzH2qB4h2yeN64NO125ukUQTSEuJRa8LPlM2KcFGtLVl1s5ri/21OZmjDGSmBV9LSatR6NYlCah+jjDl2P4hX+fY0b2IiY5qlhibi81ion+vtJDtg/t1aMFoWpbVYmLMiMDZczXGj+rZInFIfw2UlBDNpLF9QrZPOLpn0NmN6Sl2om1td43S9q6hPjnmqB5Et8D6tNJfRXOItVs4blzfkO3jR/UksQUqZwjR3Nr8nXVKSgpAwCzHvLy8gNmQdRmNRqKjo+v91x5lpsVy0+WT0GoD/6lcPGs0Uc1c3kC0bnq9jplThwR9yD1kQAe6dkpskTgOp7/WjOxtzAjftjwqWDStuglHfztf81HOr4cuIc7G9BMGEW3Vc/WF44Oee6dM6F/7gDshzspt10xGowkcZHX9xROIi239ybfDEWe3cOPlxwZsVxS49erjWqT84eGKj7Vy2zXHB73+uuzcMcTZW+bvsC32V3u0mTNOHhry2qVjupQ2Eocm3m7mmovGB2zXahRuu2Zyi5XjbIv9tTllpMZy4+UTgw42OO/0kUTVGcTSOTOB4Ud0Ctgvzm7hjGlDMejDsppNo0XborjhsolBB+rMnDqE+Ag4TzaWOcrAJWePxhZkUMCEo3u1WFl66a/BHdEvk+6dkwK2Z6TamTC6N8fNerbedq1Ww61XH098bNv9N9vepSbFMOHoXgHbbVYTl5x1NFFRhmaPQfqraC59eqTSp3tqwPbUpBhOmNAfk6n5/30L0dwUtY09PVcUhS+++IJp06YB1cmBtLQ0/vWvf/Hvf/8bALfbTVJSEo888kjINR/353A4iImJobS0tM2faErLnYBKjDWKygoXVVUufAr8781f2LQtj+TEaM6cNpSM1Njai/PKcidulxd7vFz0tUc5eaX8sGAtP/+2HpNRx6lTBjNkQMewPeA9lP56WurFFOeWct3/LmXqZRMP6X2W/Liau057huQO8by18pHDCVm0cWWeLGZvnw7AwPhLGRB3YZgjaj3a0/m1rLQSn8+PvRG/jYUlFRj0GhRVwVFWxbzfN/LD/H+IiY5ixolD6NE5qd4agE6Xh93Zxbz3+V9s2ppLemos584YQceMOKwtMEI43CoqXezYXcQ7n/3Brj1FdO2YyNkzRpCZGtvs68I0Fbfby56cEj6YvYS1G7NITozmnFNH0LVTAjZreGbZREJ/9fp8eL1+jAYdHo+PCkclJrORKLOx3n67soqYM28Nv/21pfbaZXC/Dlii9Lj8PnQ6Lbaott9XRNMor3CydWcB7376J1m5JfTqmsKs6cNIT7VjNITnNycS+mtd5Y4q/H4/0faG121zu72UOyoxW0yYDvDQubzChdvvI84WfMBGYXEFxSUVfDD7LzZsySUx3saZ04aSmRZHanL9JFRhUTnL1+zk06+XU+XyMH5kD44/ph+pEbqGstfnJzu3lE+/WcbyVTuJtZuZdcowenVPiYgKAYdDVVWyc0v56sdVLPprM1azkTOmDaV/73TiDvDvr7lEWn+tq8xRidfjJ7bOs6DiwjKMUUbM5oN7cF7p8uB0ubGaTOQXOli0dAs/zP8Hn19lwtG9GD+qJ7HRBjZvL+LtT/8gN99Bnx5pnDltKOkpdgyGyBoAIA5NUUkFq9ft4cPZSyivcDFyWFdOnjSQ1OSYBivaNZdI7q+i9dmTU8Kfy7fy7c9r8Hn9jBvZg2PH9CYjNXh1hv05yqvw+1TsMYd/7nZWutAZdOhCVPQ4HOWOKnx+HzF2yRu0N20i+VheXs7mzZsBOOKII3jyyScZP348cXFxdOjQgUceeYSHHnqIN954g+7du/Pggw+yYMECNmzYgM12cCNR28PJZVdeCf9sy2bOH+vRaTWcOKovaXYb7z0/j36DOnLUmJ5E2Qz4VWpH8GbvKaIgx8G3ny6hrKSSwUd1Y/iYnmR0aplyYKL18Pn8OMqdaDUK0bbwlh46lP46I/kiSvMdXPviJZx4+aRDep+/5q7iP6c/K8lHcUAO9y6+3DETgAFxFzEw/pIwR9R6tIfza9auQnZuK+D7r/6uvqE4rh+9+qWTnnng0uU7c4v5c+1Ofl2xBavZwCmj+2P0KWxduZuho3tgshpJaGBWjdPloarKjdGox9wCI4Nbm6oqN06XhyiTIWKSjvtzub1UVrowGnSY90ugtbTW3F/Lq1zszivh4/kr+de0kRQXVzH/h9WsX7OHlDQ7k08ZQlxsFAkp+27knU43BcUVaFVwFFWgt5tYtmk3v67YWt3fxgwgLSGajER7+D6YiCiVVW5cLg/mKAPGEOWfW0pr7q91Ze8qYue2fL7/fBlej5dxkwfQe0AmaR3qnyPLy50U5Zfx85xVbFybRUqanROmDyEmxkxSqr3evrvzStiRW8zshatxub0cO7QHR3TPIDOp/n41ikoqqKx0YTDoSDpAaXJHWRU+v0q01RR0dnqk8Xi8lFe6Mei1WMJ8jmlpXq+PsgoXOq0m6EzIlhQp/bWurN2FZO0qZs7s5TidHsZM6EO/QR1Yvngzi+evwx5r4YSZw0hMjiY5PfhD9LziMkrKqvj811XsyiulV4ckpozsQ0qcheJiJyoqiXFmdDp9bX+rrHThcnsxm40YJenYrpSVO/H6/NgsxmZJjhysSOyvovXLyilBVVUS46MxGA7873t3bjFbs4v48rc1eH1+Jg3ryYAuqWQmH1zSsq7cXYX8NXcVi7/9m7jkGE685BjSuiRha4IBOdm7C9mxJZ8fvlje4HWeaLvaxJl66dKljB+/r9TNDTfcAMB5553Hm2++yb///W+qqqq48sorKS4uZvjw4cydO/egE4/twe68Em5/+VvW7cit3fbLii0c1a8Tl10ymhvPeY1P3/2dR148l05dq8tg5GQV8/2nS/no9YW1xyz7fTOfvb2Ih185nw5dAstliLZLq9UQ2wQjbVpczfiLyB+HIVoxtU6pVbWdl11tb7J2F/HSkz/w52+barf9tWgT3XqmcMfDM0nLCF3icWduMVc/9RlZBY7abT8u2cipYwcwunMGN53/fzz86gUNJh9NRn3I9Q/bg6goQ4uUY2pORoNOHq4dQKXTzXeL1/Lo+/P57fkr2bapgFuvehtnlad2nzmzl3PDXSdx5AgtcYnVD4pMJgNaXzmfvrmQKeeP4vrnZwf0t+ljBnDe5CNJlwSkOAjmKEO7HOjRWFm7Cnnl8e/5Y8H62m1LfttE5x4p/OfJM0nN3HeO3LUtn1uufAeXs36/vumeaQzWa4jbmzTcnV/C858v5Kel+867v6/ZTpe0eJ68+mQygiQg4+yWg57xFu5Blk1Nr9cRG9M+zzE6nTYy719bgaxdhbz9yi/M/3517balv28mo2M8l147kRV/bsXvV5n33SrOumwcE08eTMp+CciSskpWbcnm9pe/xb/3XvzPtTv48Oe/ee766QzuGXydc7PZGPbBWCI8wj1IQIjmVLeK0YHsyi3myY9+YeGqrbXbFq3eRs/MRB654sSg1zqhZG3N48bJD1Oct+8e6KcPF3P+Xadw4sXHYDmMda2zdhXy8qNz+PPXDbXblvy2iS49U7jrifrXeaLtivyhesC4ceNQVTXgvzfffBOoLsV6zz33kJ2djdPp5JdffqFfv37hDbqVWbBic73EY43Fa7aTU1ZB7/4ZlBRV8PrzP5OXUwJARZmzXuKxRlF+GW+/8DOFdX64hGitDif3uO+Yli/1ISKLqvrq/G9JPrYn2zfn1Us81ti8IYff5q3D6/UGPa7IUclb3y+plwip8dkvq7Am2fD5/Lz+zI/k55Y2edxCRJJCRwWPf7AAgKL8Sp558Ot6iUeoPmc/+/C3VFa6620vyi8jtXMC7/+8PGh/+/zXVRSVVTVb7EK0Zzu35tdLPNbYtjGHBd+vxuWqPkdm7S7iyf9+VS/xCHv79YPfUFG+r1/vziupl3issTWrkK8WraG8yh3QJoQ4NHm5jnqJxxq7dxSy7M+tDB7ZrXbbey8voKrCFbBvSYWT/745tzbxWMPl8XLvmz+wK6+46QMXQog2YGtWYb3EY40Nu/L5adnGkM8Y9ldZ7uS1ez6tl3is8eZ/v6Bo7/P/xtqxJa9e4rHG1g05/Dp3zUHHKSJbm0g+ikPn8/moKKu+ANydW8zXi9aG3Hf2b2s4YeaRACz5fVPtw5zF8wNvFGv8Pn99wMMdIVqjmsrTjapALbMlxUFS8QX936LtqShz4fNV/x2XFJXz/ZfLQ+479+sV5GWX4nYHXnSXV7n44c/Q59mflm3k+OlDWPrbRqrkfCvauZWbs/j9f9ew4MkrcLs9bNucF3Q/j9vHzm0F9bb9/O1K+g3vwg9/Bd4Y1/j+j3VNGq8Qonrtn+8/XwZAz37p3PPsLO5/8VyOPrYPAD9+tZyCnOrBNZXlroC+W8Pl8pK1qwgAp9vLV7+tCfme3y5eR5Gjoik/hhBtns/no6LcVe/PP36zIuT+v/78D0eN61Vv218LNwbsl1dURoUz+DXsnvxSyioDE5ZCCNFW+X1+fN76A9W9Xh9+/77njj6fj9KySmY3cK3z9aJ/yCooq7dt/9/xGmVF5Sz+9u+Qr7X0538ONvwAjuLK2uu8YH788m9ys0oa/foicrTP+hrtWE52CY6iCuZ8vpTi/HIGDe/C4GN64vWGfhju8frR6Krz1H6/Wpuk8bg8IY/x+/ySmBERQfUfRvJRiINUd7ajX5XkY1u0e0cBSxZuZOVf24hNtFavL5dkw+Nu4Pzq8eJye3nw0W84bmI/OmTGk562rySVxxd6lqzT7UVv0FWfl/3y+yXat0Fpycx+7w/WLNvByWcf1eC++yf73S4PikbB08C1sMsjo3KFaGp+vx+NAi9+chXFheXMnb0cr8fH2OP7c97Vx/LcA1/VXp/7GjgfQvX5FKqvt1yehu5rfXKLKsRBys8ppbSkgh++WE5+dil9jujAyPG9SU6343aFPi963D60+63HF2z/hq5zgXoP3IUQoq0qKSxn57Z8vvt0CR63j6mnDSMpM5aVa3az6PdNxMdZOfvM4ZSVu/l+7mqmn3Ik7gNd61D9+1mQ58BRXMncL5eTvbuInv0yGD2xLwkpdqKi9Kh+tcHfWleIASIHw6f68TYYp1euydoJST62I7nZpfwxfx0vPfJd7bY/flnPuZUuxh3Rjbe+XxL0uElDe7B4TvXMyN79MzCaqteOGj62V9CyqwADjuyEwdR+15gSkaM26dioiY81B8kZUzTMX2/mo5RdbWt2bM7llkveoKRo32yKOZ8u5eYHTuWYE/qz/K/AkigAo8b1ZuPWPH5ZuIFfFm5g6JDOXH/1RNLSYjEZdBzdvzO/rNgS9NgJg7vxym2z6T0gE1OUnG9F+7V1Yw63XvIGjpJKAIaN7UlSSgx5OYHliDUahS7dk+ttGzOpHzvW53D0gC4s+Htz0Pc49sieTR+4EO1ctN3CRf86jjef+4mFP+4bWb/o57V075PGbY+cRoy9ej0+q81EQpKNgryygNfRaBU6dE4EIMpo4LhhvUKeO8cN6kaMVdaKE+JACvNKWfHnVp68+4vae94/flnPx68v5LE3LmT88f359afg1bOGjerOqqXb6m0bOrp7wH5pCTHotBq8QZKQsbYobLKuoxCijSsuLOelR7/jl71lrE1RBiafPozrb/6AgsJyAD5+93LWrMvi/oe+xu9XSU21c9ywnvy5dkfQ1xw/uBvxVgulReWs/XsHD9/6SW2C8c9fNvDpm7/x0Cvn07NfBpYYM/1GdGfNH4Hl6gGGTmj8knWxcVbGHtefZb8Hv78aOb4P9nhbo19fRA4pu9qOOCtdvPLYnIDt7744n6lH9SbRbg1o65Qax4DOqfw2bz16vZbL/nUcKXtnZcQm2hgxvlfAMQajjotvOJ7kVHuTfwYhmtphlV2tJWs+iobtm/mo1Fv/UUS+vOwSXn5iTr3EY40n7vqcPv0z6dg1MaAtLsHK5FMG8+SzP9RuW7JsG+s2ZAOQFGvj8mkjsZgMAccO6ZmBRaOjIKeUS2+eTHKd2ZJCtCc5e4p54cFvahOPAF9/+CfnXTYeJcip+dSzj8KwX7I+s1MCi+f+wyVTR4TsbxmJMU0euxACsnYV1Us81ti0NouFP/2D0VzdX802I1fePDlovz7t3FG1g2MBendKplfHpID97NYoZk0ajN1qbroPIEQbVVnh5tn/fhlwj1zuqOLZe7+iU9ckevZNDzjOFm3i2BMGsHDuvn49akIf7HGWgH0tRgOXnhS8WsGNZ4wnJTb6MD+FEEK0bts35dYmHgGOmTqQL79fWZt4BKhyenn08Tm1CcTnXvyJI7qn0zU9IeD14mMsTB8zAKvViMNRxRN3fxEws7GywsVTd88me1chtlgLVzxyJnpj4Ny0sacOJSH98J4z9BvckU7dkgO2xyVYmXLaUKwyIKxdkJmPbZzf70ejqc4xr1q6Leh0ar/fz3O3f85Lj8zg819X8fPSTWi1GqaM6M3EIT147t6vGHNsH868cDSxsfsuGlPTY7n8phMYOqoH33z0J47SSgYM6cxpF44mPkVGL4jIUFt2tRFlXaREgDhYKtWlhjSKXtZ8bAPqnludlW7+Xhx8ZqPfr/LP8h3c9+SZ/PzdKn76diVer5+R43tx4qlH8n/v/IZ7v7Ks38xZyYB+mSQm2kiJt/LG7Wfy7g9L+WPtDiwmA9PHDODI7hl8+dpCnnnvMuISAgcOCdEe+P1+nFVu/vm7/qjfbRtzWDx/HXc/djpzZi9n0/psEpNjmHnOSFI7xLFlWz4pKfba/VMz47n0psls35LLa7eczvs/La/tb6eOHcDogV1IT7QjhGicuufMusrLq5jz2dKQx/04+2+OntCH9I4JFBSW49cqPPl/F/L+a7+yZWMOyal2Zp4zkqQ0O9t3F9YOfM1MsvPwZVP5aelGvlq0Bpfby5iBXTnj2CPomBLXXB9TiDahpr9uWZ+NJ0S5vHWrduF2erj1/uksmr+eH75cjtPpYfjRPTj59GF8//lSou1RRNstnHL2UQw4sjMpQR5gJ8VZOW54L7qlJ/DW90vYk19K1/QELj5xOClx0RiDPAwXQoi2wu3y8OUHf9TbNmhkN+597BsAvvj4aqwWI0uX78C537JnL77wE09cfRJz/lzPt4vX4vX6GD+4OzPHDaRDSvXvbc6uYlxVwZdL2745l8qK6pKqHXun8cKvd/PRU9+x4pd1RMdbmXHN8Qwe15uYw5yZmNYhnrufnsW871by8zcr8Lh9jDymNyeeMZyMjoHJU9E2ydm8jdq9vYDlizezeuk2ktLsnHXF+JA/OgBrV+zC53BzydQRTB8zAIDkOCtFuWXccOdJREXpiU8KHPWdkhHLlJlDGTS8C36/itVqIlYehIoIUls49TAyibJepDiQmpmPGnT4VSm7Gony9hRTVubkp6//piCnlEHDuzBwWFd8fn+DvwGO0kpS0mKZcc5Ixk7sh4rKnuxiLrr6zYDEI4DL6aldh9kWFYUtKoprZozmvIqhaDUKVp2ecoeTC66dRHyiDPQR7c/uHQWsWbqNZb9v5vRLxgbdZ9FP/7Dyzy3c/vjpJKXGUl7p5MPPlvDLoxu489YTA/ZPzYgjNSOOPTsLuHzqCM6fPBQUhQ7JMqtYiMaoqnJSkFPGHwvWs3HNbjI6JTBu8gCio43EJtkB8Hr8uJyh709dLk/tQD+vz89/7v+Sbt2SuPayCViiDLi9Pj749C9+/W0j99w5rd6xGUl2zp40mGOGdENVIc4Whc0S1UyfVojIVlJUjqO4koU/rmHbxhymzByKyxW6bwJ4PT46dUtm9MQ+HDG8M4qisCe7hOtu/ZCjhnZl+uXjqax00aFXatDEY430hBjSE2Lomp6A1+vDaNSTEifXt0KIts/vVwOugxQFXnnhXExaHX/NW8/OrXl0H9Yl4Ng//tzKH3++zOMPn8Zx1/ZAVVVibWairfuudQ74O773mYNOryPKrOf4s0YyYlJ/tDoNHXqmN9lSaqmZccw4fzTjjuuPCtjjLFij5ZqsPZHkYxu0bVMOt13yOiWF+0rA/f3HFq6/55SQx3TukYLJbMBqNmE1m2q3p2XGH9R7pnc4uP2EaHUOq+yqJB3FwfHvXedRo+hkzccIlJ9dwoolW3nqP/vWvVk4dw1xCTYef/sSOndPZtum3KDHDhxafbNgNOrJ6BhPVZWbn35ZFzTxCDDm6J4kJtYfxBNrMxNr21cmzh4ng3xE+7RrWz63XfI6BbkOAM6/bhLpHePZs6MwYN/yMif2OCuXXf8WlZXVN9+KAl27BJZjrJHeQUbgCtEUdm7O57ZL36Cy3FW77ZPXF/KfZ2bR12jAEmPGHmthzHH9Qq4FNGJsL2L2Vt2xWU3ExVnYvDmPa2/+oN5+Go1Cp46B96I6nY4OyTLTUYiGeDwedmzO464r38Ltqq7UsnzRRp549/KQx6RmxBJlMe493s+1//6Qqip3bfucH6tLCBqNOsaO631QcaRLeXMhRDtjijJwzJSB/P3HvnWqe/RJxlPl5/ZL3yA3qwSAl2YMRaNRglYyfOjR73j68TPJSA+8DurQJTHkcXGJNqy26mf/OdvyuOmYe8jdkV9vn2teuJhjzx6D2Xb4iUKjUUd6J7nPaq9kzcc2JndPES8++HW9xCPA1vXZ2GKiGDMpcLFYrU7D5f+eTFqG3JyJ9qfmRNyY3OO+YyQJKRpWs86jRtHJmo8RyOn08My9swMGKRQVlLF+5U4u//cJaLSBl1Rjj+uHLab+xXpUlIGJE/qSkBA4qjs5OZqjR/VAp5OxYULsLz+7mNee/L428QiwdNEGrrjlBDSawIXgJk0bjMGoq008Akw/eQimqKYZxSuECC5rVwFP3PlZvcQjVI+wf/S2Tygu3rdGa7/BnejQJXBd5JhYMyfPGlF7Dk1JjuaaKyYEfb8Z04cSFRW4XqsQ4sBy95TyyC0f1yYeASorPeh0Wk6YcWTA/oqicNm/T6gdfG63m7jkwjFBX/uCc4/GapH1vIQQIpTuvVLJ7LzvOkin6HjruZ9qE48ABTklzJwe+HsMcNXlx5CSHHx93CizgennjAzadtnNk0lOt+OscPLGXR8EJB4Bnr/6NYpyig/h0wgRnDzdamNi4iz8+6GZLFu0iafvmV2v7fozX+DpD65i4LAuzH5vMSVF5fQemMnZl48nLshDUCHahZpkQiOyj/sSEYEPPYWoq2adx+qZj5J8jDTljipe//YGPG4vD9z4Ads27pvl+Njtn/H23Jt5+p1LePd/81i3ajf2OCvTzjqKISO7Bi01lZEex5OPnMHsr5axYOEGFBTGj+vFyVOPIOMwF3UXoq2y2S1cfeeJTDjpCB64oXrm0/8e/Jan37+cJ96q7n8b1uwhPsnG9LNHMnBoZ5763w/YbCaSEm2cPmM4/fqmkxJkGQEhRNOpcLjYubX6IdZT715Gx25JFOWVcfFJT1PucFKQW0rG3tHv6R3iuefZs/nhi2XVawF5fIwc35vp54ys3QeqZzH27pnO04+dyZvvLmLL1jySk6I5fcZw+vZJIykx+IM3IUTDdHoNJpOWl7+4FrPVyE9fLeet537mylNf4JUvr6XXgEw+f/t3CvMddOudxjlXHENi6r7zqM1m5qhhXUlLtfPO+4vZuauQjLRYzjrzKLp0SiROqnUIIURQHpeHTx7/kouuHMfKFbtY+ONaKsvd/D5vbb397rz4DV744lq6d0vhw0/+JDfPQZfOiVxwztGkJNtDDlxOTLEz9fThdOudxidv/kZuVgldeiRz9hXHkJwei06no3BPMb98vBiAb6rerX2tFStWcOvQh1n2w0oyuqc17xch2jxJPkaY3ZtzWbdkMyt+XU9SehxjThmKNc4CqkpFaRW/zF5K3u5CBo7qyf/NvpZF89fzxjNzASgtcfL34s1MmTmMI4Z3wedXMUbpSUqWhzCi/apJIAYrRXCwxwpxIP69sx0VdLXrP4rWJ3tbPtnb8/h19lK0Oi3jZwwnLiUGR04Jc16bT5TVyHW3T8UWa+Wik58Bqn8HHKWV9OibwTV3nYyryoNGo5B2gHLkmRlxnHf20Uw7aQgKYLdbsFpldLgQANnb8ynJczDv0z9xVboYffKRJGbE8vXrC+jcJ5NXv7iG9WuzeOKOz7h+1ksMG9OTa+48Ca/Hh0arITElBperiuuvnYzX40ej0ZCeZg/3xxKiXfB6fTz6+oXE2i38/ctavnnpRzK7p/DKp1eBVkP2npJ6+6dlxnHmRWOZePIRoEK03Uy03RzwusnJ0SQnR3PLjXY8Hi9arUJaqgzYEeJQ7dmSy8a/t7P05zXEp9i549EzKNhVwPzP/mL4pAG89uW1vPfKAi444Qne+/nf9DuiI36/isGkJykl8NlRSoqdlBQ7HTKr123U6TSkpthb/oMJIUQE8Xn9FGWXcM/0Jxg8oR8zTxuCX1XxeQOfF111yrNMOOkI7rzlRDRaDXq9LuSMx7pi7GZGTuhFj37p+H0qOoMWW4wBi6W6rL3f5+ez4tcoySln8dcrWPLzGuKSYxh36jDe3f4iP7+7sPa1srfnU5xXyrxP/8Tj8jL65CGkdU4irXPoJS2EAEk+RpSdG7O5ffqTFOzZN+35o6e+46b/XUhq52RunPJIbQLl54/+ICHVzoOfXs+mdbv5bW71yIme/TMBDvhQVIj2Yt/Ex8bUXd3vRYQIQa1d81GLX2Y+tkrZ2/N57qZ3WF5npOG3ry9gwukjmDhrFHPfXwTAl6/MY/oVE3nty+u46ORnyOicUFvuLfEQB/NER0cRLYutC1FP9vZ8Pn9xLl+/Or9229z3FtFnRDeufvxsrhx7H9FxVh767HrOuGQcH766gL9+3cCsy8fTa+91LoBeb8UqEy6EaHHpnRLI3Z7PvyY+SHnpvhKr7z36Nfd8cA19BnUMOMZkMZBhObi1gA7mYZsQIrjdm3O4c8bT5OwoqN32yTPfc82TZ9OxewoPXPgyHXqkcs97V7F+xW4qK91kdgosjRxMapDEpBBCiOBMFiPjTzuK5fP+YdlPq1n202reXP80Pfqms/GfPQH7//zV35wwYyh9jwi8jgrG5XKzetEG7jv7Bbyefc+gouOsPDT7Rrr2z8QcE0VJTjl3znyG7G15tft88sz3XP34WUw4p7qsdvb2fD546jvmvreodp8f3lvEgFE9+dcz55J6kOcJ0T7Jmo8RIn9PEa/e+XG9xCNUz9Z64qo3MZr1ATO3CrJLePmuj7nouuMAmDB1EGarrIchRF1qzZqPMvNRNCNZ87H1+3vB2nqJxxo/f/QHrko3nfqk1277/H8/UlrgoPegTC67+QQSUqR0uRBNJX9PUb3EY421f2xm6U+rOf6co3EUlfPUdW9z3EmDABg+ticxQWZKCSFaXkVxBY9f8Vq9xCOAx+Xl4YteobSwPEyRCdG+FWaX8NYDs+slHqH6nvb5G99lyIR+QPWg909fmMsjb1xItE0GyQkhRHM5Ynxf0rrsmzkYm2jm0ptPQKsLTNcMHtmNuMSDf+5QsLuYhy95tV7iEai+j7rmTfJ3F+H3q7zz8Ff1Eo81Xrj5fZwVbgCytuXVSzzWWLVoA0t+Wn3QMYn2SZKPEaKyzMnSn9YEbfN5fWxesYO+w7oGtC2fvw53pZur7jiRs6+aQGqGzHgUoq59ZVcPvRSm5B7Fwapd8xFd7SxI0Xpkbcvjuzd+Cdn+3Vu/Mu3SY+pt++H933nk/y6iQ7ckCrNKmztEIdoFt9PNnLd+Ddk+562FjJ8+DIDNq3ZSWebkkpsmc8WtU0nNlGtcIVqDitJKdqzLCtpWVlxBYXZJywYkhACgsryK37/5O2ib36+y6rcNjDh+ALBv8F1MvJQQEEKI5pKYEc8j393KaTdMITreypmdryM5w85T71zGkFHdqpdKS7VzwfWTuPY/00jNiDvo187ZUUCloypo2+aVOygrqaC8pIrfvlwadB9VVVn60xqqyp18+2ZDz0oWsmdr7kHHJdofKbsaIbweX4OzrMpLKjEHKd2mqipej5cTzxjRnOEJEblq664exrFCHEDNOo8aRVe7/qNoHaqqqvD7/FSWO0PuU+mowhhlCNjmV1XO638Lry6+r7nDFKJdcLs9VJY10BfLqtAZtLV/9nq8nHzWCHQ6uaURoiXk7CykuLCc3+aswuvxMer4/iSkxpDWYV/JVI/b2+BrOCtczR2mECIIn9ePzxv6PqS8tBJzdHUVAVeVW+51hRCiBSRlJnDuf07l5Csmoaoq0dFmEpPtXHf3KbhdXhQFktPtAfc7ObsKKSmsYOGclXjdPkYe14/EVDtpHauvyRp6vgHV12tanTZgZmRd5SUV+Hx+qspCX7tVllU1qpKcaD/kTj1CmCxG0rokkbU1cCo0QO/hXXnnsW8Ctqd2SsRkMTZ3eEJErJpyxY2b+bj3BKsoTRmSaINq1nnUKHpUteGHcqJl7diQx5olWxkyoW/Ic+yIyQNZNu+fettGnjAIRVFJ65KERdZtFKJJWKMtjJxyBH9+vzJo+5Bj+rJt7W4AYuKtWGKiJPEoRAvJ2VXIRy/P5/uP/qzd9tU7ixg2vjdX/OdkUvbOPrbZLVhjzAFlVwE0GoXUzrIukBAtbdeWPMpKq+jcL4Nta3YH3Wfg6F588+bLAPQ7qjt6g5xfhRCiJej1OhLSYuttS0q1h9w/e1chn7/2C9+8u7h221fvLGLImJ5cfe8ppGTG06FHKoqiBJ3IFBNvxWa3oGgUug3syOaVO4K+z+Bj+mKNMTNi8gD+/nVd0H2GTOhHdJzMkhehSdnVCBGbbOPS+09DCZLkGDF5IKpfpSrIqIZL/juT9C7JLRGiEBGtcWs+NkMgok2qN/MRST62Fnu25/PQte/y1lNzmXLBOKx2S8A+CemxDB7fl58++qN2W2b3FHoc0YlpGddy1SNnEpcc04JRC9G29T2qe721T2pEWY3MuOY43nzgSwAuuGs6camxAfsJIZrHnu0F9RKPNf6av46Vf2yp/bM9OYbz7zol6GuceMkxMjBWiBaWn13CS/d/ybvP/8Ql/z0NjSbwmdIRY3uj+lVK8svQ6rRcdPepJNeZ0SyEEKL1yNlVVC/xWGPZrxtY/ttGAKLjrRx/3uigx19496kkZsaR2imRS+8Pfl4YMKpnbUL0yAn9SA6yxIXZFsUpl02Q5KNokCQfI0RlhRtdlJGHZt9A72Fd0Wg1xKfaueA/0zn3zlOIS7Zz4X+mk5BqR6PV0PvILjzyxQ10G9Ah3KEL0WrVHQHUUFnjgzleiIZUJxwVNEjZ1dbE6/UxZHRPjpsxlA9fns9j39zM2OlD0Rt1mCxGjj93NA/PvokfP1yMTq/FGmPm5EuP4d73ryYm2cLj395Mn6GB6y0LIRrH6/Hy65yV3P3+1Zx48XjM0VHoDTpGTj2Cx7+9hU+e/4HkzHjufe8qBo3phdksSQwhWkJpUTnfvFf9kCvKYuC404czZdZRRMdVl2j85t3fyd5ZCIA1OoojJ/bnP+9eRed+GXtnOyZx7VPncMoVx5KUIeuzCtGSqspd/P3bJlb9sYUNa/bwyNc3029kdzRaDXHJMZxz28lc+uDp3Hv+SxwxtjdPzbmFFEk8CiFEq1RWUsF37wcmHmt8/e5isnYUEJsYzaybpnLV42eR0jEBjVZD1/6Z3PvhNQw7bgB6ffXs9vQuyTw+51YGjOqJRqshNimas245iRteuIDUTom1+zz42fVMPm8MUVYjeqOO0ScN5sk5/yYhQwZii4ZJHYVWrjS/DEdxOX8vWEv29jyGThzAzf+7EGeVB2eVm5+/XM5VJz3DJbefyPQrj2XklCNQFNBoNaR2PHBJmz1b89i6eidr/9pKaucEjhjbh+g4CzHxthb4dEKEV91Sq42qUS65R3GQVNWLBi2KokWV5GNY7d6Sy+YVO9DptcQlxxBn1eHx+Bh/5nBKisoZctwgZl43GVVVsdjNpHVM5JQrjmXK+WNAAVusFVelC78b+g7rdsjvn7erkA3Lt7Np5Q46902nz9CuJGbEodHIeDDRvng8HnJ3FLJh2Va2rd5NZo8UOvRKp9/gjqz6YyvJPdN4+Msb0Wg0GM1GdDoNZ998IopGIa1z4MxIIUTzcbs8VDiquP2ZWSSl2Pnju7/xen3c9fRZuDw+Xn7ga3y+fdfVKR0SSOmQQKc+6bXX2OldW64aT87OAipKq1j83d84K10MP34Q8akxpHWS3w7RthXlllBeUsmyn9eQt7uIAUf3pEPPNNI7J7B7az6fv7GQjt1TuOqxs1GU6ntgW5wZj9vHs3NvRW/Qk5QRF+6PIYQQ7VpeWTlb8otYvGUnSdFWRnfrSFK0lSi9Ho/bR3lpVchjKxxV+Pdek8Ulx3DUCYPo1r8DPr8fg1FHfEossUn7EobxaXbi0+zc+L8L8e5dtzsuLZaoKEO9103vkswFd0xjxpUTUQGL1YTT6eKfRVtYvmAdcSkxjJoyCL9PZeXCdezenEuvI7vQbWDHFr0GFK2PJB9bMUeBg02rdnLvmc/icVX/AHzxwo8kd0zg3o+u4+F/fUB+dgkAfYd0QqfTkXEIHXrnxmzunPE0ebuLarcZTHruef9qug7oSExcYPk5IdqSugnHw1rzUYgD8Ks+FEWLgga/rPkYNtvX7eH26U9x4sXjyd2ex/dvL6xt++iJbxl76jBOumIi10x/DoNRx/Nf/QuAxP3WXyC2cefHHev2cPOJj+MoKq/dZomO4pGvbpJKBaLd2f7PHm6b9gTlxRW126x2M/9+9VLWLFzLqGlDuW7GC/WOGTt1EJfecVJLhypEuxebaOPy20/kh7d/4cuXf67d/snTcxh10hBue/osYuzmgOPCMVAge3sBP32wiPce+6Z226fPzWXIMX25+omzDmqArhCRqDi3mPVLtvHAef/D560e7PjFC3NJ75rMfz64hjsufI1r/zud1+76mB3rsmqP02g13PLyxfQZ0S3wmlcIIUSLyi4t47L3vmBjbmHtNo2i8NTMKYzp0Ym4pGiGje/NisWbgx4/+Oge2GLN+Hx+Nizbxm3THsdV6a5tj0+18+i3twQkBIOVVd1fdJy1tsRq1rY8/nvOi2xbuweAbv0zSeuUwKOXvhrwfg9+cSMde6cf/Jcg2hQZZt+KlRZXcv85L9QmHmvk7ijglds/5JLbpgAwZEzPQ66vnLOrkOdveq9e4hHA7fRw/3kvUVZUdnjBCxEB/HVGaDcmjyjJR3Gw/HhR0KKRmY9hk72jgCevfhO/309yRly9xGONXz77i7zt+QwY0ZUZl4zDFhP4ILWxivNKuf+Cl+olHqF6ZOK9Z71A4d7BREK0B3u25vLQBS/VSzwClJdU8r9/v8eAUT3YsmI7/Yd1qW0zmvScccUxxCVKdQ4hWppOp6O0wFEv8Vhj0VfL2LJyO7ZGDsxpasV5JfUSjzWWzfuHP+esDENEQrSM8lInD134Um3iscaeLbm8c/8X3Pjo6cz/cHG9xCNU3xM/evlrVJU7WzJcIYQQ+3F6vPzvlz/rJR4B/KrKDZ9+S35Z9b3TsGN6k5AaWO40ymJk+kVjiIm1UphdzN2nP1MvEQhQmF3CE1e8Rtl+zyUORWlBGR8++V1t4hFgxnXH8/Q1bwZ9v6evfZOcHfmNfj8R2ST52IrtXJ+Fs8IVtO3v+WtJzYhj1tXHcvW900nNPLTSGM5yJ6t+2xC0rbKsij1b8g45XiEijb/OzEe1UTMfmzIa0Zb5VS8aRYuCFr/qCXc47VKlo4qNf29n5AmDWPDpnyH3++qVn7ns9hOZeOpQ7AlNt3B6SUEZuzbmBG3L31NESYGjyd5LiNauvKSSrK3BrzWzt+UTlxzDTx/8zrgpA1EUhSPH9OSJj64iNjm6hSMVQgA4isr5+v/mhWz/6pWfyd4e/odKHo+HOUEGF9X4+rUF7Nma24IRCdFyNizfFjBwvcbv3/5NfIKV375aFrTd5/WxcuH65gxPCCHEARRVVDJ75dqgbT6/yh/bdgGQ3imRB9+6lAnTBqM3aNFoFIYf04fHP7yy9n4pb2chZfsN9Kyx9s/NlBQ2ftKRo7iC+XWeqRijDOBXQ77fur+2hMxviLZPyq6GSXlpOcU5DtYu3kjW1lx6De1Kh94ZpHdLqd1n/9kRdamqiur3M+Oy8QF1mA+G29nww++G3luItkI93DUf9y76KDMgxYGoavXMR0XR4EdmPh6K7G25lOY7WPLDSvRGPcOOH4QlJorkjodWys3trB6BZ7KYQl4UA5QVV2A06kg5xEE9BxLqYVAN534jBIWIRNnb8igrLOOv71eg02sZevwgzNFmUvcrvVjTH0Pxun2UFVcwYERXXp17M0aTjoRUKQUnRHPZvSmbrat2sGXlDjr2SafH4C4kd05Er9cD4K5yNzhCvqy4ImC2VTi4qrw4ChuO0++T63bRNuzZnM2OtXvYsHQLPY/sQkVpZch9/T4/Xo8Pjzv09WhpvlS/EkKIcPL5/bgbuJ4qLN/3O5/ZJYkLb53KmVcfi6qCyWwgIXnfbMgKR+h1IeHAzyca4vf56h1vMOmpLGv4/UoLynjnv58y9LiBxCTGBNwfirZLko9hUFZWxbaVO7nzpEfqZf5TOiXywDe3kdkzDYBuA0Ov/xSXHIPZampU4hHAbIsiJsFGaUHwC8wu/TIb9bpCRJJ6Mx8bkUCsOUZRlCaLSbRNfnwoimbvzMfwP5yLFNnbcvm/W99j4ed/1W57/Y4POPuuU5l07lhSOh38BavVbsFsi2Lzyh30G9WDdUu2BN3viHF9DrmU+cGIjrdiMOmDDv7R6rTEJQeWTREikmRvy+Ptez7m5/d/q932+p0fMvPGqUy9bCKpnfetK2JPiEZv0AV9CKrTa9GbdPQf1QO9UU9yRtMOBBBC1Ldt9U5uO+FBinJKarfZYi08+N3t9DyyKwD25GiGTOjH6kUbg77GoDG9sQZZ87GlWaOjGDqxP3/+sCpo+8CjexJlNbVwVEI0vR3r9nDH1IfI21kAVM86ue2960Lun9IpEWOUgcweKSErcQwY06tZYhVCCHFwzAYDPZLi2ZhXGLR9ROf6z+rjEmyQEHxJiv3XdKzLGms5rOs2g1FPp97pbF9XXXa1vKSShPTQ92xWu5ninBLeue9T3rnvU8bMGMFFD86SBGQ7IWVXw6Aku5h7ZzwRMOU4Z3s+z13zGrk7q0vW2OwWhh8/MOhrnHfXdJI7JTQ6hsRMO+fdMS1o26ipR2COjmr0awsRKerOdqy7/uNBH6/W/H8ZQS0a5q8z81Gl8SPM2psV89bUSzzWePe/n1GwpyjIEaHZk6KZdfMUVi3ayICjexETH3iRbraZOPGSY5pl3aq4pGjOuOGEoG3TLp9AbKKUkxSRbd2fm+olHmt88sQ35O5XjtEcY2balRODvs6Ui8bz29d/c95t0yTxKEQzy9qayyMXvFAv8QjVMwTvO+1J9mzKBqrXfDz65COxBzlXmSxGpl05EXtC6ziPHTG2N4lBHoDpjTrOvGkKCan2lg9KiCaUsz2PZ698tTbxCOCqcrNnUzYDju4Z9JgL75lBetdkLr53ZtD23kO7kJBmb45whRBCHKR4q5nbJ48L2jYoI4XMuIMfsGxPjGbirFFB2y74z3TiD+N6KLVzEhffN6N2IoaqqqxcuJ6xpw4Luv+Ma4/n+9f3le//9dM/WPVr8PKyou2R5GMY5GzLC1nybcX8f6h0VC/0ndIpkSsencXpN06pHZGQ0S2FO966goGje6HTNX7iqtFo5IixfbjttUtJ61I90sAWa2HWzVO45L+nkdqx8YlNISKFv07ZVX9jyq7uyz42UUSirVLrrPmoyszHg5K1JYfZL/wQsv3bV36istx50K9nizEz6sTB3PjCBXz6/Fz+/eoljDhhEBqtpnpNuWP78/ic20js0DylHQ0mA1POH8sNz51PQnr1e8Qlx3D142cx89rjMFmMzfK+QrSEnO15zH5+Tsj2b175icqyfWWC4pNjmHLheK587KzaG9/4VDsX3DODnkd24YTzRhMviUchml1FaSVbV+4I2pa/q7DeUhwZ3VJ49Nt/M/rkI+nYJ53OfTMYOrE/T3x/K3ENjHZvaeldk3noi38x7tRh6PRaAAaM6sET395CfIo9vMEJ0QSqypys/i1wfca37v6IEy8ez2k3nECvoV3o2Lu6n979wbX0GNwJgE5907j/k+vo3CcdgCirkZMvm8C/X7mYtEOoKCKEEKJ59E9P4e0LZtArJREAs0HPBSMH88zpJ5JgPfhB0la7mQvvncFF982sreyU2jmR29+8gjGnDEWr1R5WnJk9U3ng0+tqKyfOeXshJ1w4jgvuPrV2oHdq50SuevwsKkvKWf7z6nrHz37+e7JlHe52QcquNjGPx0Putnw2r9hO/q4ChkwcSGWZkzWL1hObFEOfkT0O+Bp118FJ6ZjImTdOYeKsUfh9fnR6LWldQk+dPhSpnRJI7ZRAt4Ed8Hn8aHQaYpNt/Pz2r2h1WgaO7Utsqh1LdPhL6AjRHJpq5iNSdlUcgB8fCho0ikbKrh4kn9cfsjQ4QEm+A3elC/Pe8mlZW3Mo2F3EmkXriUu2039MbxSNhpxteWxYtpWkjHh6DOnCqCmD6D2sK6pf5YpHZnHJ/afj9/kxWYxBZ0o0pZgEG5POGsWQCX3xuLzoDFriU+wNlm4uyS8lf1chqxeuwxZrpe+onsSnxWKMkmSlaD28Hm/QtaI0GoUzbz2Ffkf34vs3f0Gr0TBwXF+ibCZSOiZwwoVjGTKhH36/H0VR0Bmqb01SOsggOCFagqvS1WB75X7rBRmj9Jx1y0msWrgWn8fPgDG9MEdHYbO1rqo5cSkxXHz/aZx1y4mofhVjlAFrnAmLpekrGwjR0lxVwddNdjs9rF64lknnjiMuwYaiURgwuheWaDNJe8+ryRkJJGckkNYlCa/Hh0ajYE+IDlvZZFVVyd9VwNZVO9mzOZsuAzqS2TONhPT4sMQjhBDhZjEaGNYpk9fOnU6V24NWoyHBYkavO/RkYWxSDNOvPo7xM4fj9fgwmPTEJdsD9svamkvB7sLaZyl9RvbEFm0mNm3fwOzcnQVUlVXx94J/8Lq8DBrfj/QuSdz19uV43NXnk5hEW/Uzl5OGoKoqW1fu4IOHvwg60M1RWNYq1gsXzU+Sj03I7Xaz5e8d3HHCg1SWVfGfT2/k6ateY0OddaX0Bh13fXgdgyf0D8j6A9jirAElT00WExndUpot7vQuyZTkO3jn3o/56sX6s0wufOBMpl4+CVts069/JUS4+Q8z+Vh35qQQDfGrXhRFi4IOvxr8gYGozxIdRf/Rvfjl48VB24cc2x97UnXZkextuTxy7nOs/b16LSqT2chdn97Ia3d+xPY1u2qPMVmM3Pf5TXQd1AFrTPjOawc786Iwu5gnL3mJv75bXrtNo9Vw27vXMnzqEKIssm6VaB1ssVYGjOkdMHr1qmcvZOUva3n/kS9rtymKwkUPnsGYU4aR3CmpwfVIhBDNKzrBFnI9Yo1Gqbd+T872PH58ZyHvPvB5vf2OO38ss26ddkjrMDenitIK5n2wiOeu+r96SyMce/YYLn3sHGKDPHQTIpJYYsxYYsxUlFbW237+vadRmFPCVSPuqLd9+nWTOfnySaTUWVsrrZWss7V11Q5unnAvZXVmWad0SuKRuXeR1ozPwIQQorWLt5ihCcZMabUaEtJCD7LO3prLw+c8y7rF+9b11ht03PnRDfQe1o3Y1FhyduQz/8NFvHXPp/tdW43m7Dum06FHar3XzOiWgtfrZdEXf4WssNF/dC8s0TIorD2QsqtNKG97Afec8ihlxeWMmjaUv75fWS/xCOBxe7nv9KeZdfv0oK9x9p3TSUhrnpJvDVm7eENA4hHg9Ts+YPeGrBaPR4iWUDfh2KiZj34puyoOjl/1oEGLRtHhI/ABnwgUlxrLmbdMQ2/UB7TZk2IYceKRAJQWlvHpE1/XJh4Bjj13LHNeX1Av8QjgrHBxz4wnKckNPaOytfD5fPz49oJ6iUeo/q16cNYzFOw+tDUvhWhOMQnRnHr9FEzmfTNyO/XNwOPyBKzbqqoq/3fbBxTllrZ0mEKI/ZitUZx6/ZSgbZPOG4fRbKj9c96uwoDEI8APb/7C+v3uecMpZ3s+z175asCa7D+9+ytLvl8RnqCEaEJxaTHMuv2U+ttSY0nskMg3r/wcsP/nz8xh18bslgrvoOXvLuSuEx+ul3iE6oEOj5z3HI7C1n+9LoQQkaw0v5RPnviqXuIRqnMX/z3tScpKqge5FO4p4s27PwlybbWQtfsdW0On03H0tGFB1ws3mPScftPJxKYc/BqWInJJ8rEJFWYXU5RTAsDRpx7FvA9/D7qf1+Njz5YcLnn4rNpZjkkdErjhlcsYMXUIUdaWLVtTVlzOR4/MDtn+2VPf4HbJTB3R9qh1Zi76DqPsaqPWixTtik91o1H0aBQ9ftUTcNEmgotLj+OJeXfXlizXaBRGnDiEx366i4zu1aPrHAVlzH1zQb3jhkwayB/fLt//5QCoLKtix7rdzRp3UyjOLeWzp74N2qaqKgs/+6OFIxKiYYkZcTw+7276j+4NwPgzRjH37V9D7v/da/NwVTVc8lEI0bxK8koZcmx/Ln/8HOL2zsqPjrdx7j0zmXLpsRTvHSTgKCrj65d+DPk6s5//ntzt+S0RcoP8fj/fvhI6zo8e/ZLiPBn4ICKbxWZh3Gkjuf5/l5CYUV2edMKso5n3wW8hj5n9/PcU5hS3VIgHpSinmPzdhUHb1i7eSEm+o4UjEkKI9sVRVM6Pb/0StM3r8bJi/hrKHZV8/fJPIV/jiwbWbszokcpjP/2HEVMHo9FULzXTb1QvHp93N7Gp9sOOX0SGdlV29cUXX+Sxxx4jOzubvn378vTTTzN69Ogme/3SOhdHWp2mwTU0crbnM+u2kxlx4hB8Hh96g4707qkh929OHpen9sYymMLsYjwuLwajIeQ+QkSiejMfG1FCtSZ5qUryURyAX/WgUXRolOrTrh8vWgJn9In67PE27PE2bn3ralxVbjQaDVE2U72yIX6fD+d+51u/z9/gbOaagUKtmd/nr3ddsb+8HeF/yCtEXZYYCzq9lhn/msIVT5yL3qRn9otzQ+5flFOKs8ot65cKEUbOShc3jr+HqZdP4u5Pb0Sr06KqKr9+spirh93Kwz/cuXc/d4OzlUvyHXg83pYKOySf10fezoKQ7SV5pfg8sr6QiHyJGfGgqNzxwXXo9DoMUXoeOe/FkPuX5DtwV7Wu6ivlJZUNtrtDrG0phBCiafi8/oBnKXUVZBXicbobHLhVku9ocDJHxz4ZXPPsRVQ95ERVVUxmI8kdEw8rbhFZ2k3y8aOPPuL666/nxRdfZNSoUbz88stMnjyZtWvX0qFDhyZ5j7rJw8I9RWR0T2X3puDlLfqP6oXRZCSzR1qTvPfhsNotDBrfN+RIhaHHDcJkkQdDou3xeQ+v7GrNjEeZxSYOxKe6UBQdmr2nXb/qRqtI8vFgNbSOlM6gI7NnGrvqlAh3ljuJTY4JObCm2xGdmzzGpmYyG+k9onvIMiZHHj+oZQMS4iDojToePuc5Kh2VTL1sIr2Hd2fx18uC7jtofB9i4mwtHKEQoq7oeCt6o55vXprLNy/VHyygKArxewf72JNsDBzTmzW/rQ/6On1G9MBqD/+6PXqDnhFTh/BniOoH/Y/uVVt5SIhIZ4oyct3I6vUdR00bRq9hXdm6emfQffsd3RNbfPjWOw8mOTMhZJsxyoA1Nvy/KUII0ZbpjToyeqSxe2Pw5dYGjO6DLc7KwDG9WTH/n6D79BnRHbPV1OD7JGbGH3asInK1m7KrTz75JBdddBEXX3wxvXv35umnnyYzM5P//e9/TfYelhgzo6YNA+Cbl3/ktJumBt2vU99M0rolN9n7Hi6DycDMG08Kuq6W1W5h/Kyj0Wq1YYhMiObl81aPfFY0SuPWfFQl+SgOjs/vQltn5qNPbV0jjyNZerdULnr47Hrbvvu/n5nxr+BrWPU7umfQdQdam+h4G5c+fi6KogS0pXRKoufQbmGISoiG2VNiOePWaQDMe/83plx0DDp94DVkTGI0R00d0sLRCSH2Z4uzMe2ayUHbJpw9mihbdaLOYDAw/oyRWO3mgP30Rj0zb5jSas6tQ48/gthke8B2rU7LufeejtkmyUfRNvQc2q12gN4f3yzj6GnDgg4aj7KamHLxBKzRgf03nOzJMUw4K3glsjNvm05camwLRySEEO1LerdULnrorKBtnfp1IK1bCjqdjjEzRmCLCxzAojfoOP3mk+T3WjSoXSQf3W43y5YtY9KkSfW2T5o0id9/D74uo8vlwuFw1PvvQFI6JXH5E+cx/fop5O8qYO3vG7jhpUtI7VJ9QajTaznmzJHc/fG/SOvSepKPAKldk3nmt/vpPbx77bYjJvTn6d/ub3DGiRCtQWP6K+xLPur0usYlH/fOfJQ1H8WB+FQPGvT7yq6q7beMUGP7a0O6DejIXR/fQOrec+uGvzZjT7By0/9dRkJ69awNg0nP5AvHc/Orl5PaOTLOa10HdOSRH++iQ690ADRaDWNmHMWjP/+ndo0fIZrTofZXW4yZcaeN5KpnLsBoNvLpk19z+7vX0G1QJ6B6JtWRE/vz6Pe3167bKoRoGo05v8YmxXDSFZO48MFZRMdXz0Q2R5s549ZpnHvP6SR32DczKaVzIo/OvZOB4/rUbus5tCuP/nAHcSmt56FTcsdEnvzlXoZPGVw7gKfroE48+cu9ZPSQ3x3ROjTF9XB691Qe+v4ORk0bhqqqvH7H+9z14fX0HdWjdp9+o3ry6Nw7iE2Pa+CVwsNqt3DpY+cy6/bptYMC7InRXPnMBUy5bCKGIIPjhQiH5rh/FaK16HpE/WcpOr2OCWcdzb2f30xa1xQAkjrG89jcOzjimL6111Y9hnThke9vJ0HWbhQHoKjtYMpOVlYW6enpLFq0iJEjR9Zuf/DBB3nrrbfYsGFDwDH33HMP9957b8D20tJSoqMbHtVZVlROSX4pHpeX6DgrbrcXV6ULnV6H1W4hNjnm8D9UM3EUllFeUoGiKNjirK2ifI4QB9LY/rp11Q4uG3QT5ugoBh87gLs/vemQ3vfzF+fyyh0fY7Wb+XTbs4cct2g/vtt5ASZtLCnmoSwreIaTO35MtKFpSn5HmsM5vx7Ins3ZuKrc6PQ6bLFmbPE2crfn46ryoDfqsMVZsSe0jpkZh6Iot4QqRxVavZaYBBtRVpm1IVpGY/ury+Uif0chbqcHS0wUKgrOcieKVkOUxUSSlN4Roskdzvm1qspN4c4C3C4PeqOe2FR7yFlSebsKqCp3glpdGjGllQ7oqXBU4igsw+9TsdrNxETg+V+0XU15PZyfVURVaSU+rw+r3YKqUt1HFSJibS2Px0txdglulwdjlIH4tFg0mnYxT0JEiOa8fxWitdizKRuXc9+zlNjkwIFleTsLqKpwofr9mCxGmawkDkq7Sj7+/vvvHHXUUbXbH3jgAd555x3Wrw9cu8LlcuFy7Vt01eFwkJmZKScXIVqhxvbXTcu3cuWRtxCTGE3v4d3571e3HtL7fvrcD/zffz7BbIvi853PNTp+0fZ9uf0M7IbOpJqH8Wf+I5yQ+Sbxpl7hDiss5PwqROSQ/ipE5JD+KkTkkP4qROSQ/iqEEI2nC3cALSEhIQGtVktOTk697Xl5eSQnBy9/ajQaMRoD6+ULIVqfxvZXr6e67KrBpMfjOvQ1+GrKtvp9vkM+VrQvHn85Oo0JraZ6IW6vvzLMEYWPnF+FiBzSX4WIHNJfhYgc0l+FiBzSX4UQovHaRS0Dg8HAkCFD+PHHH+tt//HHH+uVYRVCtC/uqup190wWEx6395CP9+1dJ9Lna/MTyMVh8vgr0ClR6JTq5KPbXxHmiIQQQgghhBBCCCGEEKJ5tIuZjwA33HAD55xzDkceeSRHHXUUr7zyCjt37uTyyy8Pd2hCiDBx7U0+mm2m2v99KGpmPno9h564FO2HX/XiVavQaaLQa6rX6nP7S8MclRBCCCGEEEIIIYQQQjSPdpN8PP300yksLOS+++4jOzubfv368d1339GxY8dwhyaECBO3szrhaLVbyNtV0OjXUf0qPq8PrU7b4H5+v5/iPAfxKfZGv5eIPBWe6pLfJm0cGkWPQRNNhSc3zFEJIYQQQgghhBBCCCFE82g3yUeAK6+8kiuvvLJRx6pqdVlFh8PRlCEJIYKw2WwoitLo4w+2v1ZVVgGw7MdVAEzUzGz0ex5vOGPfH7RaNBZLyM9w+9uXMmhsr0a/l4gsRe7dAGwsmY1Zm4zb72Bl0ausLHo1zJEFitF1Z4T9fkza2IM+pqX6qxDi8El/FSJySH8VInJIfxUickh/FSJyHG5/FeHXrpKPh6OsrAyAzMzMMEciRNtXWlpKdHR0o48/2P4ahYXeDMGMDZMS1ej3C6A2vAbkaaeeTq5ne9O9n2jVrLE6rniiKyZzGaq6li4DLOj0rXPJ5d35a+k3tif5u1wHfUxL9VchxOGT/ipE5JD+KkTkkP4qROSQ/ipE5Djc/irCT1HVAzwlF0B1ucSsrKxGZ9wdDgeZmZns2rWrXXca+R72ke+iWrDv4XBHtjTUX+V7P3TynTVOe/nemrO/toS28Pckn6F1iITP0Nz9NRK+g0gh32XTiOTvsan6q6qqdOjQISK/g1Ai+e81mLb2eaDtfaYDfR7pr61DW/t315La03cX6fevENl/XxJ7y4vUuEFmPrYFMvPxIGk0GjIyMg77daKjoyOuozcH+R72ke+iWlN+DwfTX+V7P3TynTWOfG8Na6rz6+FqC39P8hlah7bwGUI52P7alr+DlibfZdNoj99jTX+tKQvXFr+DtvaZ2trngbb3mZrr87SH/tqS5PtrPPnuDqy13L9CZP99SewtL1LjFpGtddZ9E0IIIYQQQgghhBBCCCGEEEJEHEk+CiGEEEIIIYQQQgghhBBCCCGahCQfW4jRaOTuu+/GaDSGO5Swku9hH/kuqrX09yDf+6GT76xx5HuLDG3h70k+Q+vQFj7D4ZLvoOnId9k05Htsm99BW/tMbe3zQNv7TC31edra99bS5PtrPPnuIksk/31J7C0vUuMWbYOiqqoa7iCEEEIIIYQQQgghhBBCCCGEEJFPZj4KIYQQQgghhBBCCCGEEEIIIZqEJB+FEEIIIYQQQgghhBBCCCGEEE1Cko9CCCGEEEIIIYQQQgghhBBCiCYhyUchhBBCCCGEEEIIIYQQQgghRJOQ5ONBUlUVh8OBqqrhDkUIcQDSX4WIHNJfhYgc0l+FiBzSX4WIHNJfhYgc0l+FEOLgSfLxIJWVlRETE0NZWVm4QxFCHID0VyEih/RXISKH9FchIof0VyEih/RXISKH9FchhDh4knwUQgghhBBCCCGEEEIIIYQQQjQJST4KIYQQQgghhBBCCCGEEEIIIZqEJB+FEEIIIYQQQgghhBBCCCGEEE1Cko9CCCGEEEIIIYQQQgghhBBCiCYhyUchhBBCCCGEEEIIIYQQQgghRJPQhTsAIUTk83v3oKgV4PkHlCjQ98Dvt6E1JIY7tIhQXFJBfmE5O7OKSIyzkppiJyneFu6wRDvj95ShKAXg3Q7+QtD1BE0sii4j3KEJIYQQrZ7q2Q7+LPBlga4zKIko+g7hDksIEYTfsxuFMvCsBU0MaLvg88ehM9rDHZoQYj9eVwlaTTH4toC/FPR9ULGh0bfO+1S/Jw9FKQPPBsAD+r6omNHo0sIdmmiFXC4PhSUVbN1RgNfro1vnJGJjzFjMxnCHJkSTkOSjEOKwqN7dUPEqatUHdbYa0EQ/gJ/haAwpYYstEuQWOPjPo1+xdmN27bb4WAtP3XsanTskhDEy0Z74vSUo/o2oJVeC6tjXYDgaou+TBKQQQgjRANWzHrX4UvDn7Num643G/iyKrmMYIxNC7E/17kItfxxcc/ZtVMxoY57G5+6P1hAfvuCEEPX43AVo1TWoRdeDWlm7XTVORrXd3OruU/3ePSieX1AdDwCevVsVsFyMGnUGii4znOGJVqai0sWvf2zi0Rd/wOv1A6AocM6MEZx24hBios1hjlCIwydlV4UQh8f9F9RLPAK4UR3/RlGKwxJSpKiodPHc/82rl3gEKCyu4MZ7PyG/oCxMkYn2RqEIteSy+olHAPdvqBVv4PeVhicwIYQQopVTvdtRS66ol3gEULzr8Dvuxe/ZE6bIhBD783pcqM5vUeomHgHUStSSq9DI/asQrYpGKUEtuape4hFAcc1BdX6D1+MKU2TBKf4CVMc97Es8AqhQ8Sp414cnKNFqZeWW8uCzc2oTjwCqCm9/8gdrN+Y0cKQQkUOSj0KIRlM9O1ErXwvVilr1WYvGE2mKSytZ+NfmoG35heXkFDiCtgnR5DyrQa0I3ub8DEUtbNl4hBBCiEjhLwRf8ASj4l6EQojzqxCixWmVbKh8K0SrB1zzWzQeIcQBuOZTP5FXR+Vb1X26lfD7y1Er3wvZrla8ht+7uwUjEq2Z1+vn82+Xh2x/65PFOMqqWjAiIZqHJB+FEIfBB77cBpr34PfKA5dQXC4vfr8asr2oWL470TLUhm6C1EpQQ9zwCSGEEO2dv6CBRjVgtoYQIpzU6gEDoVp9u1owFiHEgTTYJ/2FQOjnKS1OLa9e+zkUXw6K6m65eESr5vF4ycoNXWEqv7AMt8fXghEJ0Twk+SiEaDQVA6q+T8h2RT8Yjc7SghFFFovZQJRJH7I9IzW2BaMR7ZliGBC6UZMMiix23lwKC8t5853fKCwsD3coQgghGkPb0PpNRlBsLRaKEOIAVC3oeoRsVgxDWjAYIcSBNNgndT2q+3SrEQP6QaGb9f1QFWuLRSNaN6NRz6B+oa8h+3RPxRJlaMGIhGgeknwUQjSaRp+OxnodoAQ2KjFgnNDiMUWS+FgrZ54yLGjboH6ZxMdK4la0EG0H0HYO2qRYr0Elo4UDaj8Ki8p5691FFBZJ8lEIISKSEo1qOCp4m/ksVEUGkwnRWij6DijWfwVv1CSDfmDLBiSEaJh+YHXfDEKx/gtF36GFAwpNo41CiToFFHOQVi2K9XI0uqQWj0u0ThqNwqSxfYJOSNBqFM47/SiiJPko2gBJPgohDotKGor9BdCm79umH4AS9xZ+GhoJLvR6LdOOG8jFZx2Nee9FhVar4bixffjP9VOwxwS7aBWi6Sm6jiixL4FhLLWDCZRYFNudqIaj0Oh0YY1PCCGEaK0UXQaa6PvBdDKw9wGSYgHzZShRZ6PRxYU1PiFEfaq2B0r0o6BJ3LfNMAwl9g0UXafwBSaECKDoOqHEvoFqqDNoW5OIEv0oqjb0LOZwUUlGiX0LdL33bdR2RIl9BVWTEL7ARKuUkhjNCw/NokeXfUnp9BQ7T957GplSCU20EfI0UQhxWDSGVCAVdN3AXw6KDkWxoOgyaU0FMFqrWLuFWacM47ixfaiscmMy6om1m4kyyQgn0bIUXWfU6HtR1ArACYoVVUlBo40Kd2hCCCFEq6boMlEtN6FYLgO1ChQLfuLR6GPCHZoQYj8afSY+JRVN7CBQy0AxAFYUffqBDhVChIGi74ZiewSFclDdoNjwKxloW+EAWY3OCgwE+/PVa0DiB8VaPdg33MGJVker1dC9cxJP3D0TR5kTn99PtM1EfKyU5xVtR+v7pRZCRCQZJdp4ep2WlCR5OCXCT6NLq/dnuUESQgghDo5GnwzsKw0ng/CEaL2qkxadav8s17xCtG6a/QYHtPZzrKKTKmDi4NljzFL5TLRZUnZVCCGEEEIIIYQQQgghhBBCCNEkJPkohBBCCCGEEEIIIYQQQgghhGgSknwUQgghhBBCCCGEEEIIIYQQQjQJST4KIYQQQgghhBBCCCGEEEIIIZqEJB+FEEIIIYQQQgghhBBCCCGEEE1Cko9CCCGEEEIIIYQQQgghhBBCiCYhyUchhBBCCCGEEEIIIYQQQgghRJOQ5KMQQgghhBBCCCGEEEIIIYQQoklI8lEIIYQQQgghhBBCCCGEEEII0SQk+SiEEEIIIYQQQgghhBBCCCGEaBKSfBRCCCGEEEIIIYQQQgghhBBCNAlduAMQQgTn8Tnw+AtxeXPRaaIxaBMw6pKa/H1UVcXny8Hvz0dVy9Bq09BoEtBobHg8uaiU4fFloaBDq01Gq8Sh08U2eRxCRCqf34nHV4DTl42CDqMuGYM2EY2ib/739pXi9xfg8+1BUfRoNclotOloNEYAPN7d+P3leHxZaDV2tJpYDPrOzR6XEEIIUcPjK8XjL8LlzUWviUGvjW+Wa9qD5fe78Pvz8PmyAA0aTQKq6kJV41E0lfjVcry+XLTaeLQaOwZdx7DFKoQ4NG7PNnz+Qnx+B3pdOopiw6BLC3dYQrQKPn8Vbl8BLm8OGsWAQZeEUZuEomib9H08nkpUcvD6CvCrFeh1GWgUCwq+2nOvVpuKVpuEohia9L3bA693F35/IX5/MVptCooSi06X0jSv7SvD7S/C5c1Gp7Fi0CZi0CahKMrhv7a3CL9ajNeXi4oXnTYNDdHo9eG7JhRCND9JPgrRCrm8+WwpeoD8yu9qt5l0mfRLehmLoVuTvY+q+vF4/qGo8Hz8/uy9WxXM5rMxW6+mrHI2hY4nUHEDoFGiSYl7CpM6RC4QhKB6kEBexVdsKX4YVa3uJ1rFQq+Ex4mNGolWE9Vs7+315lBV9Tlljkdhbx9VFBt2+5MYjEfj85eSX3of5VX7fkf02o6kJfwfJkPfZotLCCGEqOHy5rG56L8UVP5Quy1K15G+SS9hMXRt8Xj8fgdVVV9TWnIX4ARAUSxER3+M3lhJTvGNVLl+r93fqO9DavxLGPVNd/0thGh6Ho8Hr/8fsgovxuvL2rtVwWaeTkL0vzHoM8ManxDh5vEVs6fsfXaWvICKFwCdxk6fxGeJMQ5Go2maJKDX68DjW0tW4aX4/AV7t2qxW84j1nYphQWnANXnXrv9SYymY9BoLE3y3u2Bx7OR4qJL8Ho31W4zGscRY38Ene7wfufc3gK2lTxDTvnHgFr92toU+iW9hMXQ+7ASkB5PNlWeJeQW3YRfLQdAwUh8zC1EK1PQH2bsQojWS8quCtHK+P1udjlerZd4BHB6d7Eq93yc3pwmey+fbw+FBTPrJB4BVExRF+HyrqPA8VBt4hHArzqqLyLVgsAXE6IdqnCvY3PRfbWJRwCfWsE/+Vfh9O5u1vf2etdS5rgf6vRRVS2juPgy/KqH4rKX6iUeATy+HezOPxuXZ2uzxiaEEEL4/E52lvyvXuIRoMq7g9W5F+Bqwmvag+XxbKC05GZqEo8AqlqBzphIXsnd9RKPAC7PWrILL8Pt2d6ygQohDonKLnYXzKqTeKzeWlb5GaUV7+P1lYUtNiFagxLnEnaUPFObeATw+ktYnXsRTl92A0ceGp+ax+6Cs+okHgF8lFS8ToXzR+LiNwLV597i4svxeXc02Xu3dV7vTooKL6iXeARwuRbgcDyEz1fc6NdWVR/Z5Z+SU/4RNYlHAJcvh5W55+Kq99t66HxqIdmFV9YmHgFUXBSU3ofbs+WwXlsI0bq1ieTjr7/+yoknnkhaWhqKojB79uzaNo/Hwy233EL//v2xWCykpaVx7rnnkpV1eD+cQjQXly+P7LIPg7a5fXlUNeHDD49nBarqCNiuaIwUOZ4PcZSP0vL38fmcIdqFaB+8Pgc7Sl8I0eonq+x9/Kqned7bm0t52bMh39vvL6a08qOgrT5/Lh7v9maJSwghhKjh9hWQXfFJ0DaXL4cq764WjcfvL6O87JngjWoFFc4fgza5POvw+UuaLzAhxGFzulfjD9FPS8rfxOfPa9mAhGhF3L5CdpQ8F7RNxUN+xbdN9l6Vzl9Q1aqgbUVl/0PR1u2LKuUVr+D3u5rs/dsyny8Hn29b0DZn1df4/fmNfm2XL4/djteCtnn9Dspcaxr92j5fGSXlbwP+oO2FZc/haeaB20KI8GkTyceKigoGDhzI888HJksqKytZvnw5d911F8uXL+fzzz9n48aNnHTSSWGIVIgD86su/GroxJ7Tu7PJ3svj2RSqBU8DI9Dcvq2oakWTxSFEJPKpLqo8oftjpWcz/jozIpuU6sTbwG+BijPkTR+Axxv8pkUIIYRoKn61ql5lgP25WvhBk6o68YY4//nUMuqO9A9oP4wHekKI5uf2bg7Z5ldLoZkGBAoRCfyqp8EBP+Xudahq8MTQoXJ5NoZsq56ZXP9c6/VsbvC+Vezja3CGqg9VrWz0a6uqG6+/NGR75WFUTvKrFbi9oY/3eHfiVyUBLURb1SbWfJw8eTKTJ08O2hYTE8OPP9Yfxfrcc88xbNgwdu7cSYcOHVoiRCEOmlYThVax4qtTjqAus77p1scx6AcAJ5KQeB+KUlZ9U6YYgViM+h5UuoI/aDHq+6EotiaLQ4hIpNVEYTH0xFUVfCa9zTAArWJqlvdWNBb0+h6YLa+j08UBVYAGVDOVVfNQlCg0ig2/GrzElEHfo1niEkIIIWpoFTMaxYw/xMOwKF3nFo1HUczo9X2wRT+OXp9O9blTAaL2VirQAr6gx+q0KS0XqBDikBn1fVEwYDNPxRY1CdDg9eVTXPEOPl8BKPpwh9gqqaoHny+P6mUcTGi1yShKm5ijIOrQKkYs+m6UuVcFbY8xDmmyv3eTYRClFe8EbdPrOgMKRtONREefCVRQnTQrBexN8v5tmU7XAcggMWkuULD3+Z0Bvz+ZwoL+KIq10a+tKCYM2kTcvuDPAK2G3o1+bY0SjVHfN6C0fQ2jvicazI1+fSFE69Ymko+HqrS0FEVRsNvtIfdxuVy4XPtGXjgcgaUphWgOBm0imTEXs73k6YC2KF1HTE24ELNOP5TEpG6Ulz1IVdWXgButrgvR0XeSGHM3O/ImBRyjKCZiLDPQaptmQfKmIP1VhINOY6Wj/WqKqhaw/whOBT0ptpkoirZZ3lurTcBqexbYSUnxFXg8fwMKRuM4omPuAjKwWy+iqOzpgGP1ui7oteFb0F36qxCRQ/qrOBwGbRIZ0RewM0iJcrO+K0ZdWovGo9FYsNoeAXZSWnINbvcSQMFgPJro6LuJtV5FcXlgSfMowzA0SkyLxtoY0l9Fe2bU9yYj4Q1cVbNxFF8HuNBqO5FouwZFk4xWyQh3iPW0hv7q8+VRUfEWFeX/h6qWodEkYYu+CZPpBLTauBaPRzQfvTaWzrE3sCr3/IA2rWIh3jyhyd7LbByGRhOL3x+4/mB89A1oSCc6+mQcjjtwOX8CfOj0/YiJuQedthtaXVKTxdJUWkN/BdBoEklK+oSKiqeprHwPVa1Ao0nBZruOxKRf0GhiG/3aRm0SHWOuYVPRfwLaDNokLIaejX5trdaM3XImpeVvo7L/DEeFuOjr0OtTG/36QojWrd0NaXI6ndx6663MmjWL6OjokPs99NBDxMTE1P6XmRm+B7WifdEoelJtp5ERfQmKsi/BF20cTP/k1zA26cVYMcVFF1FV9QnVox3B591KcdGFqP4s0uPfQqvZd+Oh13YgI+E9tEpiE8Zw+KS/inAx67vQN/E59HUu9I3aNAakvIVJl96s763RFFBYMGNv4hFAxeWaT2HBDCCLGMsZxFovQcFYe0yUYSjpCW9i0Hdq1tgaIv1ViMgh/VUcDo1GT7rtLDKiL0Rh36yjGOOR9Et6tYmvaQ+OouRTWHDq3sQjgIrbtZDCglOJtc7EZp5J9QzIahbTMaTEPY1B3/qr5Uh/Fe2ZBqgoe3jvfW31w22fbzuOkhvR4EKnMzZ4fEsLd3/1+UpwlN5LedlTqHsrpfj9eZSW/Juqyg8bLJktIpPV0I+e8Q+h0+x7Dhql68TAlHcwNeVgIDWTzMQPMej2VdpRFAsJMXdi0h8J7KGw8Axczh+oqTbg9ayhsOB0fP49TRdHEwp3f62lqpQ67qai4pXaZZD8/hxKS2/D6fz6sF5aURQSLJPoZP8XmjrVm6yGPgxMfgeT7vCSgzptEumJ76DT7ntGotXEkxr3Ajptyw5GE0K0LEVV1dCLW0QgRVH44osvmDZtWkCbx+Nh5syZ7Ny5kwULFjSYfAw2siUzM5PS0tIGjxOiqfj8Tty+fLx+BxrFhEEbj15rb9L3cDoXUFQ4K2ibTteNuPh38Kle/P4SULRolWgM+i5NGkNTkP4qwklVfbh8eXh9xaBo0Gvimv2Bqtebi8NxD86qL4O222y3E2W+HCjBpxbj95egKBa0Git6XXgfoEp/rW/jphwuu/otXn7+PHp0l7J+onWR/iqaQt1rWq0ShV4b1+TXtAcVh7cQR9mDVFV+ELTdar2OKPNl+MnD7y9Fo9jQaKzoda1rxlQo0l9Fe+Zy/kZh4WlB27TaTsTHv4dO37KlnhsS7v7q8WwhP2900DZFsZCYNB9dhPz2iYPnV724fXl4fCUoihaDJg6DrnkGlrs92/GrZaiqC43GjlZJRFGicDo/obTk5qDHGI1jibE/jq6ZB/EeqnD31xoe9z/k508M2qYo0SQkfoNe3+2w3sPnd+Hx5ePxl6JRjOi1cRiacCa027MNn78U8KHRxKJVktHpLE32+kKI1qfdlF31eDycdtppbNu2jXnz5h3wBGE0GjEaW9foONG+aDUmojTNO6LK7Vocss3r3YyqujBGwNpw0l9FOCmKtnok4GGOBjwkajlu158hm93uRZgtp6PVJqIjoeXiOgjSX4WIHNJfRVNoiWvag+FXS3G7Gzp3/o7ZcjZGXeu/9g1G+qtoz1wN9G2fb3uQUn/hFe7+6vPtCNmmqhWo/lJAko9tjUbRYdKlNe1MxxCCVdrx+724nAtCHuN2L0FVnc0XVCOFu7/W8Hg3hWxTVUftLObDodUY0WoyMDVT/ze0okEgQoiW0S6SjzWJx02bNjF//nzi4+PDHZJoJwqceaioxOri0elaX3fTaJNDtilKFO2wMrNo5QqdBfhULzZ9NFG6drwouaJFo43H788J2qzRxO/tw0IIIUTD3D43pZ5iFEVDgrF1ldZvSoqiR6uJx8fWoO0aTTwg504hDleFp5wKbzk6RU+cqWWevWi1DVWPMNJOHn0dNI3mAOvYKuFPtIimVewqwuN3E6W1YDPYwhKDRqNr8BmURhOPgtKCEUWWuksiBaPUKZd6OKo8FZT7ytApemKNkfX8vMrrwun3YtYaMGr1Bz5ACNHs2sQVWHl5OZs3b67987Zt21ixYgVxcXGkpaUxY8YMli9fzjfffIPP5yMnp/phbVxcHAaDIdTLCtFo+c5c1pet5K+iX/GrPo6wH8VA+zASTa2rpJ7ROJrqnwFvQFtU1My9D2GECL8CZy47K7ewsGAuTl8VvaIHMCJ+PLGahHb5O67TdcJquZiSkn8FbTdbzkWjsbZwVEIIISJNnjObZcW/s7p0CXrFwFHxx9DV2ptEU+iHg5FKp8vEYrm4znqP9VksF6DTNV1pMSHamypPFaXeIn4r+JHN5Wux6GyMSTyedFNHEkzNuySBwTAcMACBaxVGmU9BUTRpCucAAQAASURBVGIDtrdnWm0aGk0Sfn9eQJvBMFSeA7QhBa48cp17+CV/Dg5PCZ0tPRiTeBw2XQxWfcuX5DabT6Oy4vWgbRbLhaC0/jWWw0WrTUejicPvLwpoMxhGoiiHl1Su/g0v5LeCn2p/w8cmHk9aVAcSjK37urDMU8W28jze3vYL2VVF9InJYFan0aRHxWPQtonUhxARq030wKVLlzJ+/PjaP99www0AnHfeedxzzz189dVXAAwaNKjecfPnz2fcuHEtFaZoJ/KdOby1/Tl2Ve0bVb27ajt/FM3nsi63tKoEpEZjIzbuJYqLrgA8tdv1+kFYbVeg1cpNmgi/AmcuX2W9z8rSv2q3ZTl38kfhAq7tfjep7bQkkMF4FKaoaTirZtfbbrPdjFbbgiVghRBCRKQ8ZzYvbL6fEs++h1jbKzfRzdqHMzIvaVXXrE1FbxhIlPnMgHUfrdar0Go7hikqIdqGQk8uz266D5e/qnbb5vK1HBU/nmOTpjVrAlKjsRMb9zLFRZdRNwGp1/fHZrsOnU6SaXVpNCnExb9NYcFpqKqjdrtWm4E99hl5DtBGFDrzWVT4I/Pyvqndlu3cxZKihVzd/c6wJB81mjiiY+7HUXoXoNZuNxqPxRQ1uVVWDGstVFKJjXudosKzUdXy2u1abUdi7A8f9jqthZ6cvb/h+0rf1vyGT0w+mfhWmoB0+tz8kPU3j6//unbblvJcvsv6m+eOvIjBcV3CGJ0Qok38qo8bNw5VVUO2N9QmRFPbWrGhXuKxRr4rh2XFixifOBWjrnWUMdFqUzAYBpOY9BNu91/4fLkYDSPQ6tLR6eQBjGgdSr3F9RKPNSp95czJ/pRT0s8j1tj+bpB1ug7YbLditV6Gy/ULCiaMptEoihWdLvxrawkhhGi9KjwV/Jr/Q73EY43N5WvJce5uk8nH6nPndVgs5+89d+owmsYANnR6OXcK0VhFrgK+3PNuvcRjjcWF8xkZfyzQfMlHrTYBg2FInfvaHIyGYWi1GXJfG4SiKOj1/UhM+gmPZzVe71b0+v7o9d1lEGMb4vJX1Us81vCobj7b/Sbndbyu2Wcl70+ny8BkOg6jcRQu12+o/nKMptFoNAnodDLrsSF6vRmPpz8Jid/hca/C69uGQT8Qra4r+sNcS7HIlc8Xe96tl3issbhwPqMSJtJah3AUucp5esN3Adt9qp8H1nzGy8MvI8HY8ol2IUS1NpF8FKK1KHYVs7RoYcj25SWLGWwfSZKu9VzQa7UpaLUp6PXdwx2KEEGtKP4zZNvq0qVMTTu9BaNpXfT6DkAHDIaB4Q5FCCFEBCn3OVhZEjiwp8aSooX0sPXDqG2a9YNak5qHmwZD/zBHIkTb4fG72Fj+T8j2tY6/6WBp3tknWm0CWm0Cen23Zn2ftkJRNOh0GYc9W0q0Xlsq1ods21m5FbcamGhqCTpdOgB6fc+wvH8k0+ujgG5N/jvn9rvZXL42ZPtaxwoyzYeX4GwuOysL8Kq+oG17qooodVdK8lGIMNKEOwAh2pIDLY2toIAiC2gL0VSkOwkhhBCH7oCnTzm/CiEOkdLgD4f8qAjR0hrukwduF+2HQsP/HiL534oiD42ECCtJPgrRhOzGWIbGjQ3ZfmTsKGJ07a88pBCH44jYESHbBsYMw6BEtWA0QgghROSzaGMYHHtUyPZhcWPb5KxHIUTz0ClGetj6hWzvG3NEC0YjhADoau0VMmnU0dwNvdI6lgMS4afXGuhu6xuyvU/0oJYL5hB1MCegV7RB2zLN8UTrzC0ckRCiLkk+CtHEOlt60NEcWAIh2ZjGIPuIVrPeoxCRIloXy2D7yIDtVl00x6Wcit1ob/mghBBCiAhm0ZsZlTCROENCQFtPW3+SjelhiEoIEaniTQmcnHYWUdrAh7yj4icSpbGEISoh2jeDEsWxyScHbtcYOTXjvBZf71G0XnGGRKalnx30N/zohIlBt7cWcUYbN/Y+KWC7TtFyZ78ZJJhsYYhKCFFD1nwUooklmpI5p+NVbClfx59Fv+BTfQyJHUmf6MEkmpLDHZ4QESfBlMSUtNMZFDuC3/J/oMpXRe/ogQyNG02SqfWsnyqEEEJEkiRTCld2vYOVJX+xsvQv9IqekQkT6GTuToJcswohDlGSPo1/9fgvfxTOZ1PZWiw6K2MSjyfZmEGCKTHc4QnR7sSbEhgRdwzdrX1YkD8Hh6eEzpYeHJ1wLDH6wMFHon2L1SUG/Q1PMaUTb2y9iWqTVs+xKQPobkvlve2/sqeqiH4xHZjZ4SjSouLCHZ4Q7Z4kH4VoBommFBJNKXS39kNVIMEoN1tCHI4EYxIJxiQ6RHXFq3qJ1tsxag3hDksIIYSIaImmFMYlnMCgmBFoFC1xpvhwhySEiFB6vZ5kfRqTkk9hZPyx6BQDsUZZckSIcEowJZJgSiTJlIHX7yZKa8Gqt4Y7LNEKmfVmzHozx6WcwqiE6t9wuyEyfsOtehN97Zn8p99puPxuorRGDFpJeQjRGkhPFKIZxcsITyGaVKxRRq4JIYQQTUmn05Gga70j2oUQkSVKZyZK1tgSolWJjZAkkgg/k9aMqRWXWW2ISafHhD7cYQgh6pDkoxCtVH55OSUeJyUuJ2adHpvBSIdo+yG9htuzA79aiqo60WhiUdQYDAZ5uCREVrmDcreLUrcLm8GAVW8kwxYT7rCAmn7rQFWr9vZbOwaDDGQQQggROXY6Sij3uKjweLAbTcQYjCRZmm/NHZd7J1COXy1Ho8SgKDEY9CnN9n5CiMO3w1GCw+XE6fMSZ4oiRm8kwRI4I8vlyUehFJ+/CEUxoSgxGPUdwxBx65dXWUGRsxKXz0t8lJmkKIvM/hFNyuNx4mcPfn8xABpNHF5/KrnOKoqclegUDTFGExlmG3q9JIHCxe3NR1VL8e/93dQo0Rj0ncIdVsRyerwUlFVQXFmFSa8jzmIm3to0CVqPx8PuyjJKXU68qp84k5k4fRRlLjclVVWYdDrizE33fkK0tLBfhXi9XhYsWMCWLVuYNWsWNpuNrKwsoqOjsVqlFIBon3Y5Snh59V98sGEVXtUPwICEFJ4acwLdYg+uNr/Ls56coqtxe9b+P3v3HSdVdTZw/Dcz906v2/vSexEEAVHArqixK7ZYYt4kmtgTYzSWGGOMscWWYiwxMZZYYkWNXRQRERDpbXtv0/u8fyAL684sLOzubHm++fAJ3DP33meRM/fc85wCgAY9DutFODQXoVdLei12Ifq7cncrf/jyI17ftoF4IgHAwfkl3HHIMQyzp3dEaCiygbrmnxGKrAG+rbeWC3BoLkGvFqc1NiGEEGJvbG5t4pqP3mBlQw0AikbLWWMm8+OpsyixOXv8fuHIVupbryEY/vzbI1psplPIsP9c2rxC9FNrm+q54sPX2NjSCIBBp3DJpBmcPWYKxbsNuA1HyvH4n6XV8wgJggDoldHkZjyEUT8pHaH3S4lEgvXNDfzkvf+yzb0jKWRSVK6Zfginj56Ey2hKc4RiMAiFqonEV1Hf8gti8SYAVMOlrGw7kV9/9gHucAiAPLOVu+ctZKIrF5dZ/u31tXCkHLf/KVo9j5Jgx38TvTKO3IwHMeonpDm6gafZ6+fppSt59KPlhKMxAEbnZnLv2ScwImf/VuZqDHhZ29TAzz9+k1q/FwCH3shNsw9nVl4hp//93wCMycnkvtNOYGSWrAQmBh5tOm9eVlbG5MmTOemkk7jssstoaGgA4A9/+APXXnttOkMTIm3cwQBPb1jFU+tXticeAVY31nLROy+yva1lj9cIR7ZS1XBOe+IRIEGYVu9f8AZeIRwN9ErsQvR3tV4vd6/4mFe3rm9PPAJ8WlPOlR+8Rrm7NW2xhSJbqW48tz3xCN/WW9/f8AReIBzxpS02IYQQYm9sb2vhB++82J54BIgm4vxrwyr+ue4r2oI92wYNRyupbf7xbolHgDiewAu0eO4nEqnv0fsJIfbf1tZmzl/8XHviESAUi/LQqqX8r2IL0Wi0/bg/9AEtnnvbE48A4egmqhoXEYps6dO4+7Mqr5sz3/h3e+IRIBCN8Ntl77OkuiyNkYnBJKFpoqbph+2JR502k/rIcVzx4VvtiUeAWr+Xi95+gfqgN12hDlnRaAhf4E1aPA+1Jx4BwtH1VDeeQziyNY3RDTzxeIK31mzi4fc+b088Amyqa+LCR5+nptW9X9dvCgS4+J0X2hOPAG3hINd89AbVPi9fXvVDADbWN/H9fzxPTZtnv+4nRDqkNfl4xRVXMGPGDFpaWjCZdo2GOeWUU3j33XfTGJkQ6dMQ9POPdV8lLSv3tFLhadvjNcKRjcTitUnLWr1/hkT1fsUoxEDljgR5dev6pGVfNdTQFg4mLesLkegWorHkdbPV+zcSJK/TQgghRH9R5XOz3Z18oNxT61bSGPT3yH18kUpagl8RipZ1GLSzO7f/P8QTrT1yPyFEz1nTVJfyu+Dh1Z9T7tvRmRuKbKPF80DSz8XjzQTDK3otxoFmaW1Fh+TP7u768mMa/DKIUewbX7icOt/7lLufocXzZ2DXAHmt/mzuX7Ux6XnheIznNn5NMBLpo0gFQCxRRYv3oeRl8XpCu01QGEyCkWY84S1sbHmIlfXXsb3tabzh7YTD4f26boPHxyPvLU1a1uj1s76mYZ+v7Y9E+PeGVUTi8aTlD6z8DHdiV8Kz0ednfd2+30+IdElr8vGTTz7hxhtvRK/XdzheWlpKVVVVmqISIr2C0SjeSOoH5Oa2pj1eIxTdkLIsFm8mkdi/B7AQA5U3HCK224zH76r1pW90ZjiSut7G4y0g9VYIIUQ/t6U1dTvVH40Q2G1G077yRyrZ2vZ3vqy7nFBkWxefjBBPyKwLIfqbb5rqUpbV+73E2jtio0RjqfuFwoO0E31frNpttvl3bXe3EI7HUpYLkYo/UsnKhl/wZf3PCMfqCUc7JhpjDGdTa+qVuda1NOAOJU+Ki16SCBOLN6YsDkW+6cNg+kYo2kJbeDWfVJ3G5tZHqPa9ztrm3/FZzbkEE/s30zMcjdLoTT1wbn1N6r/rPfFEQmxoSX3+ltYmArGO7ea1tbKihxh40pp8jMfjxGKdG0GVlZXYbLY0RCRE+hkUBZOSemPu4Y49r/GtV8amLNNqHKAx7lNsQgx0VlWPVqNJWZ5jtvRhNB3p1TEpy7QaG2j0KcuFEEKI/mCYPXU71ahTMCrKft8jEK2mwvM8kbgHnS67i08qaLXW/b6fEKJnjXFlpSzLNJpRNDu6qTQo6LS5KT+rV2Xvsp0mZOSkLCuy2lG1ae36EwNQLBamyvsKbeEdqwsEovUoutIOn9FRwfDd9mj9rlGODKwGQ2+GKb5Do1HRalO3xfRq6r7CgSoSb2VVw3UkiH7neBurG2/CH6nY52urig6XJfW+paNzM/f52hZVZUQX/buldhdGXcd285ic1M9PIfqrtLZAjjrqKO677772P2s0GrxeLzfffDMLFy5MX2BCpFGm3szZY6ckLcszWym1OfZ4Da2uEJ02+UPQZjmfOJJ8FEOTVW/g6JLRScsmZOTgNKSvbmi0+ei0yRuTVsu5xEnd6BVCCCH6g2KbnUKrPWnZWWMmk2HYv2dZNB6k3PMfABJE8UWb0CvJn+tW04loSB6LECJ9pmUXYNcnT0hcMmkGhd++70YTZmzWi5N+TquxoVNSD9wbag4pLMWcYgDzVdMOIccsAzFE9wRi1VR4Xmz/c7XvbSzmszp8Jh5+mp9NTf4M1mk0LBo7FbOaemC96HlabQFO6yUpylwY1cl9HFHv80eriCaSLy3tDq8lEt/3ZaezbRYumTcjaZnDZGBCQeqBH3ti0sG546aiSzE4/rKps3Gqu5KPDqOBiXn7fj8h0iWtycd7772XDz/8kAkTJhAMBjnnnHMYNmwYVVVV3HnnnekMTYi0cZlNXDzhQE4aMZ7dH0EjHRk8cczpezXzsSm0gUzXA6gdRqZpsZjOJKobSyQhmxSLoanAaueGgxYwv3BYh+OTs/J46PDvUWp3pScwoDm0+dt6O2y3o1ospjOIK5OIyNJxQggh+rnhjgweP+o0Ru3WXtUAJ44Yxw8nzSTDZN6v6yfiYWK7dSKtb/0LDsdt6NWJHT5nMR5Fpv0X6NW8/bqfEKLnFVts/PPYMzsMVNBpNJw37gBOHD4OvU4HQBw/QTKwmS8AdO2fVXSFZGY8TENgdV+H3m8VWOw8s3ARubslGRWNlp9Nnc3hxSPSGJkYyGIJf4ffl/veJcNxB1rNjn9nsXg9RcYPuX3Ogg4ztJwGI38+/GSyjfv3zBfdp+hM2EynYjefx+5d/oqumMKsp9FQkr7geklsD8nFRGLf9x3VabV8b9oEzptzADrtrh7aQpedJ354BvnO/Vm1MY5Lb+KRw0/Cod81CN6oU7hl9hEMszl5c/2OvY0LHXb+8f0zyHfIKpFi4NEkEl1sftUHAoEA//73v1mxYgXxeJzp06dz7rnnYjL1rxkebrcbh8NBW1sbdruMoBW9r9rjxhsN0+D3YdXrceiNDHPsXWKkJbiSlQ3XMcZ5EWZdJolEAI3GRo3/E5qCqzgw917ManEv/wTpI/VV7EmFuw1vJERzMIDDYMSmGih1ONMaU2twNV81XMtox0VYlWziCT8ajY1a/xIagl9yYO6fsAzCejvU6+vGTbX86KdP8pcHL2DMaOkkF/3bUK+vYu9tb2vBHQ7hCYfIMpmxqvr22Uz7q8LzEl83/rr9z3ptBqOdF+FQS9Bq4hh0xWg0VvRqUY/cb6CS+ir6u21tLbSGAvgjEXLMVqyKSr5t179Vf6SKlQ3XYVeHU2g5nETCg0ZjIhBrY1PbE0zM/DVZpllp/Al6Tk/U10QiQZ3fS2PARzAWJcdkJctkxqzK1g2i+4LRBtY13UmNf3GH41nGgxhuPwOzzoFGo0PRZhOMZ9EYiFDn96FotWQazWSZLNgH6ZKrA+H5Go7UkMBDLFaHRmNFp3WiV4enO6xe4Qlv4uOqU4HO6Q29NpPZ+U9i1Q/br3v4gmGafH4aPT5MepVMq5kc+/7PKC93v4hVdwytkRBNQT/ReJxcswWbolIXfBBT4geEYxoyLWZybDKDXQxM+7/pxn4ymUxcfPHFXHxx8uU0hBiqCr598epqT4xU9LosLOpwVjX+9tsjWiAOaDko9y+DOvEoxN4otvdMB2hPUnUZWNVRrG66/dsju+rtzNxHBmXiUQghxOC0twPm9kWGcToWpRRftAyAcLyZb5rvRtFYmFPwLwz6Ub12byFEzxnucAGpvyvMaiHjM65hac1FlHtfYlfbGFyG6ZiUgj6Jc6DQaDTkWWzkWWRmjNh/RiWbUa7/oz7wIbFEoP14Y3AZgVgjM3IfxKzumEWnB+wGGOHc9/3vRM/Sq/lAPqiDf3lqncZKie0Myj3PdSobl3EVRm3+ft/DYtRjMeopyXTu97V2l20+mKU1pxGIVgJnABNoCd2KorUzt+BZLGrqfY+FGCjSnnysqqpiyZIl1NfXE4/HO5RdfvnlaYpKJBOLxQmFo+hVHYqi2/MJg0g0GsUb96JqVSyKJd3hdBKLhfHHPagaE0bFjEUtYlLmjdT43qTM/QzhWDNO44GMdV2OUVeY7nBFEjvrl6rqUAdx/YpGo3jiHvRafb+sS30lEgsSjPvQa80YdDtm+lvUIiZm/ooa3/Rv620TTuN0xrgux6STzhUhhOgNgWAYrVaLQZ/216JeE46F8cV8GLQGzMrAXwItjpUZef+kzvcKW9r+QiwRJsc0j9Gun2DUSCeNEN0RjUZpi3owaPVY9f2vbW7SlTAn/yk8oTIMaiGJRIRAbBs5prmYh/js5qEqEo0RicQw6BV0urTuJNVnWsKtKBoFm9q3M59M2gLmFbyFP9ZIKFrFprZ7yDYdSql9ERZ18C3fKbrHE/EQT8Rx6NM7sNus5jPCcTE2/Ti2tT1BIFqNXT+O0a7LsKgjUJT+OwPXpOQxK/8xtNEMYrowsUQMIycR0dRgVuQZJwaHtL5lP/744/z4xz9Gr9eTmZmJZrdNVjUajSQf+4loNEZtg5vF769h9doqigtcnLpwOgW5Dkymwb+ER22wli+bV/B12zdYFStH5B5Glj6TbGN2ukMjEPHij7ewpu09Kv3rsKtZHOg6EbPOhdNQRKn1++RajkYDaFAxq5LA6G+isTh19W0s/uAbVn1TSVG+i1OPn0ZBrhPzIKpf4XCYplgzy5qXsda9Hqfq4PDcw8hQM8g2dn9270DlDbcRiLeyqnUxdcFtuPQFTHcdj0XnxKbPxKwWUWq9kDzLUd+eoWBRZcCAEEL0tPpGD1+uLuOtD9ZiMqmcvnA6I0qzcDn7X+f7vgpGgzRHWljS+CmbvVvI1GdwRO7h2BUH2caBNzuhOVTFZu8yNnuXYdCame46npn5L6AQRtGYMKo56Q5RiAFjV9v8C9a61+FQHRyRexguJYMcU/9pmxvVTPzxIFWRDWxteQ6jzsb0jOMJxxUG/lAK0R2+QIjaujZeeP0rKmtamDqxiGMXTCQ3x4EySJOQdcF61rR9w/KWLzFo9RyWs4B8Yx45xt5/3gWjPryxZla3vENNcBNONZfpmfdg0TmxqOnvCxPpUxesp8JfwUcNnxBLxJiVeRBjbaPJNaZvAJhZLaJUPXO3pbh1WAbIAJVgDBrCK1jV+hbxRJQJ9gUUmSdi2S1HIsRAltY9H4uLi/nxj3/M9ddfj1bbvxsLA2FN796yflMNP73hGULhaPsxjQZuuvoE5s0ajX4QjxSvClRz5/q7aIu4OxxfmHcsh+UsICfNCcjqwEb+XXY94Xigw/Gj8y5ljHU2Nn3/eXHsSwOpvm7YUstPf/UMwVDHTbB/feXxzD94NAa9mqbIelaFv4I71t+FL9pxM/BTC0/m4Mw5QyYBud23iufKbyK226bnGrScVPgLSi3TMCtDb5mkgVRfe4Ps+SgGksFSX+sa3Fx507NU1rR2OH70/An89OLDcDkGR5f2Vu827lz/R4LxYIfj3y89l2nOA8gwZKQpsu5rDlXydNmv8EQbOxw/wHkss7POwKXf/yW1BpvBUl9F76jwV3LH+j90apufUngSczPn9psBCo2hCp4u+yW+aEuH4zMzTuZA1/dwGQZH20nqa9dC4QgffrqJ2+57vcNxk1HlgdsXMXbk4Ph3sLu6YD13b7iXulB9h+OzMw7itKJTej0BWelfyzNlNxBJhHY7qmFh/hWMsM7Apg6cNkRPG8r1tS5Yz1Nl/+LrtjUdjhebivjZ6MvI7YPE+GDSEqrh7dpH2Opb3uF4jmE4pxbdiMsg7Vsx8KU14+f3+1m0aFG/TzwOZc0tPn57/xsdEo8AiQTc8cBimlp8Kc4c+FrCLfyn4sVOiUeAN2oXE4gFkpyVXHPQz5aWZtY1NrC1tYVoNLrnk/YUX6iGxTUPdEo8Avyv9q+EE3sfn0iP5lYfv73vjU6JR4A7H1pM8yCpX03BJp4uf7ZT5wbAS1X/JfSdTtG9Ve1xs6m5iQ1NjZS7W/czyt7XHKrm9ep7OyQeARLEebPmTwRibWmKTIjBqzXcykuV/6U13JruUEQ/EY3GeGnxyk6JR4C3P1xLZXVL55MGoPpgA09s/0enxCPAv8qfIRgPJTmra2WtraxvamBzcxN1Xm9PhLlXfNFWljQ+2ynxCLCydTH+qDw/heiOpmAzT5c/00XbfP/eI7e1tnz7XdFMo3/fvys8kSY+rn+qU+IR4IvmlwnF++57SKRXc4uf3z+4uNPxQDDC7/70Ji2tg+O9eSd/xM//6t7tlHgEWNq8jMZw8z5fOxqNsq11R9/UlpZmWvz+Tp9pCVXzRvX930k8AiR4q/YhwvHB9fct9l6Fv6JT4hGgIlDJsublPdLXOZTUh7Z1SjzuPL7O/RGhUIgKdxuBSIS2QICtO/uVW5oJDaC/a3coRHlbK9tbW2gOdP7OEYNbWqes/eAHP+D555/nl7/8ZTrDEF1wewOUVSZv2ITDUapqW8jPTe/63r0lGAuysnVVyvKvWldSatnzOvflba387avlPL/hG4LRKDlmC5fPnM38kuEU2/f97y6cCFAX3JK0LE6U2uAWMg3F+3x90fvcniDbK5qSloUjMcqrWsjPdfZtUL0glAixzr0+aVmCBN+411Fk3vslMcLhMFvdbfxmyQd8WlkOwOTsXG4+9DBGODPIMJl6JO6eFox7cUc6v0AChOJ+vNFmMg0DY2kQIQaK1kgbL1e/wjTXATj1znSHI/qB1jY/b/zv65Tlr7y9iknjCjpsBzEQBWNByvzlSctiiRjl/nIKTHs3mrra08baxkZ+9+mHbG1tQafRcPSIUfx89iGMcPb+zIdQzMc690cpy9e5P6LQPK7X4xBisAgmginb5gDftHWvbb5ThbuV1fV1/P6zj6lwt6FqtSwcOYarZ82l1OHs9vXC8QAbPZ+lLN/g+ZQ806huX1cMPOVVTUSisaRlW8saafMEB9Wy6e6Ym8+aPk9Z/knDEibYu//cq2hr5ZPKcu774jPqfF4MOoVTx47nJ9MPomS3OhqK+2kKVyS9RiwRoSlcJX1NQ5An4uGjhk9Sli9p/JSZrgPJU2T/7b3hjXhY3fp2yvKv295lrO0QPJVtUFTIY6u+5Nl1a/BHImSZzFw6/SCOHD6yQ93tbxKJBFtbW7jlo3f5eLe+u9/OP5LxWdnodbo0Ryj6QlqTj3fccQcnnHACixcvZvLkyahqx+UF77nnnjRFJnaKxbpelTcSjfdRJH0vAcRJ/fNF43seZVLubuX6D95hSeWuzp96v48bP3yXX89dwFkTJmPV79u+folE13/38b2IT6RXPN71f8NoLPkL1kATTyRIkPq7ZG/q0u4qfV4WvfwcraFdszm+bqjjnJef5+Uzzum3ycdEouv/nvGE1FkhhOhtCXbst5xKJBojkdixxcBA1lUbFiAa3/s2xtbWVi554+X2P8cSCd7csom1jQ08ecKpDHO69jXMvRbv4hn63RUFhBBdS+ypbb6PbdI1DfVc9tZr7X+OxOP8d9N61jc18pfjTmKY09ndSLv8LovJ++6Qsad+pz29Vw84iR0DhVKJJqLEYjF03ei4D0WjvF++nZs+enfXsViUf6/9mq0tzdx1xLHtSYzEHtoQcXnuDknxRLzLf5exRBS6eLaIjhLx6Ld/Z8nFv/37tBYWcOvH7/G/7VvbyxoDfn6z5AP80QgXTjoAq9HYBxF3X5XHzWkv/LtT390ZLz7D62edz+iM/rHEu+hdaV3v9He/+x1vvfUWdXV1fP3113z11Vftv1auXJnO0MS37DYjOVnJ9yDT6bSUFA7edd4NWj3jbGNTlk9zTd3jNVqDwQ6Jx939aflS6nzdXyomGPXSFi5DrzWRoS9M8SkNeabR3b626Ft2m4m8nOR7BOi0GoYVD459EA1aA8Mtw1KWT3RM2OtrRaNRXt+ysUPjZadwPMbDXy6joQ+XgtsbnnAV9YHVGHU2zLrks511GhW72vf7I/giddT4v2BT2ys0BL7Gn2RJOyGEGEzsNhOHHTwmZfnCwyeh1Q7wzCNg0hnJNSR/rmjQMMxSulfXKXe38vvPks86LGtrZW1jwz7HmEwg3EhbuIxt7nfY0PofmoLrUDV6RlkPSnnOOPshPRqDEIOdXmtghGV4yvLutM132t7awl1Lk8+I2dDcSFlb95e0VrQGhlkOSFk+xj6729cUA9Pw4syUz+b8HAd2W/8cfLqvzDoz01wHpCyfkzmrW4lH2JEEuP+LT5OWfV5TRVMgwDb327SGtmHQWrAr2Uk/q0FLlmFYt+4tBgeH3sGszNTtsRmuAwfcSjPhcBh3uJxK7xLWtz5HrX8FnnBln9zbZnAxwTE/ZflY21xMOieecLhD4nF3f17xBfX9dBnTxLeDFVP13T345VL8ERnIMBSkNfl4zz338Nhjj7Fu3To++OAD3n///fZf7733XjpDE9/KzrTxi0uPSdrQu+TsuWQ4zWmIqm9kGjI5u+RM9NrOMxNnuA7Epux5Y+n1Tak78ttCQXyRcLdi2pF43MSbFRezofUpjs77CZok1figjFPQawdXA3wwysqwpqxfFy2ai8sxOOpXtjGLc0vORtV0nmw/N+tgzLq9/zmbgkE+q0q+BAzAitpqPNHu1ave5AlX8kndTbxV+X9Ued7lyLwfAZ3/e8/PuQC9tm+XCmoJbeGNiov4X9XPWFr/OxZX/pD/Vf0Mb6SmT+MQQoi+ZNArnHPqQTiSdFROmVDEyGHJO9sGmlxjLueXnos2STvx2LyjMe5lOzEai7OmIfmS4UD78uc9wR9ppCH0Na+Vn88ndb9mWcMfeaPiIr5peYx5OecnbdsOt0zHrvT94B0hBrKcrtrmmXOw6LrfJg3HY2xtTZ1gXFZd1e1rOtQcDsu5GFXTeUbHaOtsrLrBOxBadORymrnorIM7HddqNfzisqPJyrCmIareY9fbOSH/OKxK559rtHUUBaaCbl/TH43QFEi9n+s3DXVU+j7htfLzCMfqODr/0qR9TQdnnYk+SZ0UQ8NY22iKTZ2X5XapLubnHIpRN7D+bXjiW3ir8se8X3MNXzTcwztVl/JBzS9wp1h2uKcVmSaSYxjR6bhVyeQA17HEQzv2UU7FGwnjDnd/H/e+4I9GeL98W8ryZdVVePpp7KJnpXXZVYPBwNy5c9MZgtgLUycW8egfz+eJZz9j/ZZa8nPsXHDmwYwdmYvJuG9Lhg4U2YZsbp5wI2/WvsU693qsioUjc49gnG0sOcY9d05lm1O/uGkAg657VTAUb+L9mmuIxP1sdr9MpnEKFwy/l88an6UmuBmbksmszFPJNY7EoZeOmIFgyvhCHr37+zz57Kes21xLbradC8+cw9hReZhNg6d+ZetzuWnijbxe/SabvJuxqzaOzj2KUdaRe1WXdjIpCjld1KtMkxlFk9ZxNe0C0SZWN/+dxuA3AKxqeYRD8+7mvGF/4NPGZ2kMluHU5zEn6ywy1AJsau8vW7eTP9LAe9VXEox13NO3LbyNpfV3Mi/vNvS65LPehRBioCvIdfLXP57HS2+u5MNPN2I0qpx2/DTmzhxFpmvwdGAWGQu5aeINvFr9Ott9Zbj0To7LO4ZScwlZxr3rtNdoNDgMRtqSjFoGyLP23N9XOO7ho9obSdBxSa9N7pcoMs/nguH3sqzpZbb7VmDQWpjmWshw64G49Hk9FoMQQ0WWLidJ2/xIRllHkW3s/uorikaLSVEIRJMvIbcv3xWRmJ9ItJ4Lht/D500vUuZfjUlnZbrrRErME9CQ/HtJDD5mk4FTFk5jwph8nnjuM+oa3Iwfnc+FZ86huKDv3qH6UpYuixvHX8//6t5lZetqDDoDC7IP5QDnVHKM3e/rMegUtBoN8UTyZTFzLBa8kWoSxHin6lJOKPkP3x92N582PktdcAt2NZvZWWeQrS/Frh8cA7VE9+Uac/nZ6MtY1rycJY1LiCVizHAdyIKceeQaB9Zej+5wBe9X/7xTn0hreCvLGv7I7JxfYlX3bn/0fZVhKODUohtY7/6E1W3vEE9EGWubywGuYzEnMmnxtOxxWyGTktbUTkqqVkeeJfWzP9NkQtX2j7470bvS+i/0iiuu4IEHHuBPf/pTOsMQe2A0qIwekcsNVy7EHwhj0CvYrANrNMu+sigWLIqFM4tOIxALoNPqyDbsfUOr1OFI2WGzoHQ4DoOhW/G0hDYRie+aUv95/W+w6oqYlXs9qtaJXmfBKR0wA4rBoDJ6eA6/umJw1y+nwYYTG+eUnkUgGkCn0ZHdjaTjTnajkfMmTeXljeuSll88dXq/2XA7HPOw3fu/Dsc+rr0Gl34sh2ZfjV7rQtUa0zJQwB+txx9NvlRejX8pwVirJB+FEIOWRqOhINfJ/517KItOmoFWq8Hl6NvZ533BZXThwsX5JecSjAdRtQpZhu4lFXLMFs6dOIWHVyzrVKbVaDh6+KieCpcK30edEo87fdZwK8cU/ZUFORcSiJ2KVqPFpe/+zA8hxA5O8462+aLiswjGA+jQkWPa94SCy2ji9HETeWrNqk5lqlbLnKLibl8zEGvk0/qbIKFlTu7NzMz4HhBnu+cVXi+/mRlZV+GQ5R+HDIfNxEHThjN+dD6hcBSLSY9pEA3W/S69Xk8+eZxaeDJH5h6BVqPZr+SOTa/nqOEjeWvr5qRlo1wZLGlc037sm+a/MSPzao7O+wmRRAhFo+LQD6zkkugducYcjss5mpmuAwFw6h0DbsYj7OgTCcSSr1ZX41/Woe+1N7kM+cx0ncJY21wSmjgmrZPXX36Tn9fvWF3kvXMuIstkpjHJ8qpzCouxqt3rV+4rep2OC6dM48UNa5OWXzp9FhmmwbHam+haWpOPy5Yt47333uO1115j4sSJqKraofzFF19MU2QiGbNJP6hmYnWHQ+/AQfK92rqSb7Hx6MKTuOi1l/DutsTqSFcGNx1yGHnW7nXu+6J1nY55Y5W8V30ZAMeXPAVI8nEgGir1y6E6cKjdr0u7y7dauXbWXO7+fEmH7cxPGzuBGXmp9kHte7FEmHii8xr2LeENvFv1Iw7MuoIJrrPTEBkEY13vuxNNpF6SRwghBgtV1Q2qmY6puAzOfT7Xotdz9sQpfFVX02HZc0Wr5e4jjsXWg6ug+CLVKct2PLcSmBU75r3Y+kAIsXdcBgfsw3tup+uYTPzwgBmsaajnq7pdS/jrtToeOvYE7Prud0wniBOOewD4sPbqTuXeaOrvDDF42axGhtIQSYtqwaLu/wCpPKuN6+fMY1trCxubm9qPm1WVvy08mZbISx0+7481ECOAVgOZ+s7LbIqhTVEU8pSBnYz+7ozHjhLE4n03u15RFDKUHYPqar0entXtWkUgz2DkbwtP4oLXXsQd2rVMaanDyW/nH0mhvf+2i4c5nNxw8Hx+9+mHHfruFk2YzKxC+V4ZKtKafHQ6nZx66qnpDEGIXmVSVca5MnnljHNZ01BPhaeVKdl5FNsdDHN2Xh7EE6klHA8QjQfRay2YFReG3WYfZRrGp76XLhNF0z9HvAjRkwptDk4ZM4Gjho/i08pywvEYhxSVYNcbKXbsf+cJQCTmJhRvIR4PoWitGJUctLvti9MWriYc95JIJL6dcdy54aRojRh1GSkbtZmGcT0S676wqqlniygaI3rtUHqlF0II0ZViu4M7DzuaBr+Pz6srcRlNzCwoxK7oseq9uEO1aDV69DoXet3ePYeDUTeBWAvheABVa8SotZNnmsEm93+Tft5lGJN07ykhRP9R4nBy31ELqfV5+bKmiiyzhQNz83HoDWRZOidP3OEaIvEA0UQIg86KWZeJfre94LUo2NVhuCPbk94v1zStt34UIQalYU4Xf1t4EhVuN2sa6ii225iQlYlJ38w2TyNajdo+eDbbOAUFKwlN58G0QgSjTUTibSSIo9faMQ7A/bdtaknKMkVjQt1t/+NwzIc/1kwo5kXRGFC1Zuy9tOpcntXGn4/9HpUeNytqq/lfZTkLikt56bRzWNtYT7m7lUlZuZQ6nQxz9O9lp+0GI2dPnMyRw0fyeXUFoViMOQXF5FisOI0Db7as2DdpTT4+/vjj6by9EH3CZjJhM5kY4ep6b53WcCWf1D9Eue9zIIGqMTHVdQbjHMdi1+9YZ9yi5OAyjKEltLHT+ZMzfoBZK8tPiaFh5+iusZnd35NmT/yRKr5uvJ36wBIggaKxMsb1I4ps34OEnubINj6o/SMt4TIAbEouh+ZeSbZhFBZ1VzxmbS5TMi5mWcMfO90jwzAWs5K+vTJMSiaFlrlU+ZZ0KpvoOh+TLjMNUQkhUknE6kn4n0FjXoRGN/Be7sXAV+JwUuJwcmD+jhUGwrE2aryLWVF1P5G4G4BM40FMzb4Zi9r18orucA1ft77MN63/JZoIoUHLcOshzMn+P2xqKZ5IWadzpmX+BJvMvBCi3yt1OCl1OJlV0HV9bQmV8WHdvVQHdizTatDamJl1AaWWOTi+XVLZpi9iWtZP+LDmuk7nW9VCXPqRPf8DCDHIlTpcuExhLOatrG17lTfrqtGgZaRtPofk3c6S2l+j1SiMsB1Lc3Qd+eaZ6Q5Z9CPxRBR3aANfNdyIN7IFAJNSwNSsm8kwTkOnHTgJJb3ORr75IGr8nbcWGO9chFGzo0/EHa5hm/cTljf9g1DcC0CBaSrzc6/GZUidwNwfWWYLWWYLB+Tu2nPSbjIxcg/9yv2RVW/AqjcwPMkEHDE0yPBRIfqBtnAVb1XfQrlvKXw7GT2SCLC8+R9s9LxLOOYDdryAzc/7HaXWI9CgA8Coy+Cg7GspMM9G6acbDQsxUASjDXxeeyn1gU/YWRejCS9rm++m2vs/fLFGXq24tj3xCOCJ1vFm1Q34ok0drqUoBgrMc5iZfQ1G3Y6GlgYdpdYjmJd3e1o7UQ06B7NzfskYx6loNTuWzNNrbUzLvIwxjlPRaQf/EsBCDCjxBvA9uOP/hegHGgKfsrrptvbEI0BTcBmf1fyQQJJtAnYKRt183foyq1qeI5rYsXRUgjhbvR/xbu2dHFZwN/nm2YAGAIuSx6F5t+PQl/bqzyOE6Dut4QperbyuPfEIEIp7+KT+QWoCqzt8NkM/mrm5t7YP2tOgpcB8MIcX3ItN3/19JIUY6nyRRlY0/4vPGv9C27fLnSeIs9nzPqtbXmV61hUcVfgg+ngmmYYJaY5W9DeBaDWf1lzcnnjceWxp7U/wppil3l/Z1AJmZV/HSNuJHfpEpmb8iJH2EzGoO1aDqvR/xZKGh9sTjwDVgVW8VnUdreGqtMQuxEDS55mK6dOn8+677+JyuZg2bRoajSblZ1esWNGHkQmRPr5oE02hLUnLVjU/y0jbPPTfTvm36YuYkXUVUzIuIZYIo2hNWLS5KIosuSrE/vJFK/FGtiUtyzctZEXrU+2dpbtLEOfL5n8yL+eKDrMfbfpCRmm/R755FrF4cMeydForZrXnZ2x2l1nJ5sCsy5noOp9oIoiqMWFSstFqdOkOTQghRD8WjDawrvn+pGWBaDWe8CZMKfYBCsRa+aY1+dKqtYGvCcV8zM75JdG4n1gi8u2yVpJgEGIwaQ5tw5tikMIXTU+SZ5qI89t6b9UXYNTmkGWcQDQeQKtRUXVmLAN8rzEh0iUc97G+7c2kZRX+5Ryc8xPMunxMiqmPIxP9XSIRo8LzGrFEIElpnI0tf+GAnN+iavd/j9K+YtMXMi3rJ0zMOJdYPIROY8SkZLX3v7aGKlne9GTScz2RWlpC23HqC/syZCEGnD5PPp500kkYDDuSJCeffHJf316Ifqk5tDVlWSjuJfqdjY7NahZm0p+8EGKwcYc2pCyL4KM+uD5leWNwE5EkDXFFMeCgd5bj2F+K1ohVm7/nD4q91tTg4Y3/fMHC02eSmS17ZwohBp9YIkggWp2yvCX4NTnmQ5KWhePepIN4dmqLVJJjGrvfMQoh+q+6wLqUZZ5ILfFErMMxRVGwI4MQhOgJobiXONGU5Z5IHZmGEX0YkRgoookQzcEvU5a3hdcSi/sHVPIRwKRkYCL5cqZxInij9SnPrQuuY7htbm+FJsSg0OfJx5tvvpmLL76Y+++/n5tvvrmvby9Ev2RVU29UrNWo6DQyq1GIvmBWU++bqsOIVc2FZAP9AKuai06j9lJkYqBobvTwrz+/z+wF4yT5KIQYlLQaFUVrIxr3JC23dLFEqqo1oUFLgnjycxUZXCfEYGfvYpaIQWuVVTiE6EWqtusZjSads28CEQOOTqPHohbTFPwiablJl492kPVdalDQay2E476k5Q6Z9SjEHqVlz8cnn3ySQCBF760QQ5BTX5iykTfadjgGnXRgC9EXbPrRqFp70rI2t48pzlNSnjstYxG2LgYSCCGEEIOBQZfFCMf5Sct0GhMZhqkpz9VrrJRa5yQtsym5mJXMHolRCNF/FZimoGiMScsmOk/CrJNBCEL0FlVjosg8PWmZU18sfU8iJa1GYZj9nJTlo13/h16XvC9loDIpLiY6vpe0TNEYyTNO7OOIhBh40pJ8TCQS6bitEP2WmVyOL7wDs67jVP8C0zRmZH4fi5J8CQAhRM8y6XKZk/839N+pizmmQ3E5dRgVJwtyr+kww1GDlhmZ3ydDP6yPoxVCCCH6nlajUGo7nQLLMR2Oq1o7s/P/irGLvdis+mzmZv+EXOP4jseVXI4rvB2nvqhXYhZC9B8mXQbHF96BQdsxyTHCeigTHAvR62SvOSF6i12fz7zcq8gyjO54XC3g2IJb5TksumRRC5mW/Tu0Gn37MQ06xrp+itMwIY2R9Q6jzspE54kMt3bcTsCgtXNC0e8x6aSvVog96fNlV3fSaDTpurUQ/Y5eryeHcZxcch/eSAP+WBM5htEomjjReDWeUAuK1oZJ7Z/7xgkxWGg0Wuz6ccwrfAZ/tJpwrBWLWoJRl4Ve58QIlFjmcGbpFFrD5cQSUbKNo1GIEI1X4w7WoeicqOSiqtJxIoQQYnAyKllMzrqRMa6f4I1sR9XasSiFGJUcNN9ZMjEYqSOW8BCJt6BoLOi1do7Ovwl/rIW2SBUWJQuLkiUdnkIMEUbFSmZiFGeVPkg03ko8EUCvy0KDBYteVhERoreEok1E420Qb+HY/J8BZpoj9ei1FixKBg55Dg95oWgD0bibSLwZncaITmvHrO5aTl/RWsi3HEmGcRreyHYSiShW/QgMugyUNO/1GIrWEom3EI37ULVOVF1Gp0Hl+8Kuz2du9qXMzLyA5vB2jDoHdjUPg8aJUbH2QORCDG5pSz6OGTNmjwnI5ubmPopGiP7BqS/GqS8mGKmmrO1har0vADEArPrxjMu6G4t+VHqDFGKQ02g0mJQ8TEryzg+rmglk4jKUEIzU0RL8hC0tvyP27d5Xqi6LsZl3YNVMxCB7VwkhhBik9DoHep0Dm35Eys8EIpWUtz5Ere9ldrVpJzEu6y5yTePJNY1Pea4QYvCKxstZ23g1gchWADSoFNovoMB2DiZVEiBC9LRApJJG/ztsb72feMIPgEGXz7jsu7Eqw1CUwbVcpui+QKSCas+/qHI/RYIIAGZ1JOOz78Gq39Ve02mNmLWFmNX+s9+hP7ydDU3X4Q599e0RLdnmhQx3XYOpB+K06/MByDJKf6wQ3ZW25OOtt96Kw+FI1+2F6LciMTdVnn9R632uw3FveB1r6v+PKbmPYVKHpSc4IUQHwWgZG5uu73AsEmvkm/pLmV7wIgYk+SiEEGJoCkVaqPL8g1rfCx2Oe8Nr+Kb+x0zOfRTTbqPphRBDgz+yjdV1FxGJt7QfSxCh0v0oBl0OeZbzUJS0dVUJMSj5wuvZ2nJHh2OhWA1f113M9PyXUJDk41AWjYZo9L9FpfuxDsf9kS2srr2YA/L/jbmf9kMGIlWsbbgcX2T9bkfjNPhfQ6c1MsL1S9RBthelEANJ2lp0ixYtIicnJ123F6LfisQaqfE8nbQsGK0kEK2S5KMQ/UAwWkN52yNJyxJEqPE8yzDn1ag6WYpDCCHE0BNNNFPjeSZpWSBaRjBaI8lHIYYgT2hNh8Tj7ircfyPDtACFYX0blBCDWCBSTlnbQ0nL4okgDb7FWPSX9XFUoj8JJ6qpaHs0aVkk3oQ3vLbfJh8jsYbvJB53qfP+lyL7DyT5KEQaadNxU9nvUYjUYokgsYQvZbk/sqUPoxFCpBJPBPF/u1RUMv7IJuJxbx9GJIQQQvQf8USAeCKYsjwQ2daH0Qgh+gtvOHknMUA41kCCaB9GI8TglyDW5XurL7KeeFzq3VCWSESJxFNvfeYLb+jDaLonGK1KWZYg0mX/qhCi96Ul+ZhIJLr1+crKSuLxeC9FI0T/otMY0WpMKcvN6vA+jEYIkYpWY8TURX00KSPRamXWoxBCiKFJpzGh1RhSlstKHkIMTVb9mJRlqjYTjUbXh9EIMfhp0HU5a82ijkGrlaWOhzKNRkHVulKWW7r43k43g5J6T0cNCjqNpQ+jEUJ8V1qSj/F4vFtLrk6YMIHt27enLP/oo4848cQTKSgoQKPR8PLLL3coTyQS3HLLLRQUFGAymViwYAHffPPNPkYvRO/SaV0U2BYlLTPo8jEqxX0ckRAiGaOST4njRylKdRTYF8mSq0IIIYYsResiz3pG0jKjUoRBKejjiIQQ/YFNPwVF60xaVuz4AXqNfDcI0ZNMagnFjp8kLdNqDGRbjuvjiER/Y9DmUWi/KGmZonVh1U/o44j2nl6XhVkdlbQsx3ICel1WH0ckhNhdWpKP3bWnmZI+n4+pU6fy4IMPJi3/wx/+wD333MODDz7IF198QV5eHkcddRQej6c3whVivxgUFwW288m1nMLuVdSsjmJy7t/67TrrQgxFRqWE0Zm3otWY248pWhcTcx5E0WSkMTIhhBAivfRKBkX2i8mxnAjs2nbDoo5lUs5fMMt+j0IMSaqmiCm5j3UYVKtBodB2PtnmY1GU1DOmhRD7xqafxHDn1R1WJNDrspmU81cUrSRnhjqdzkSO5QQKrOcCu2afG5USpuQ+1q9XYDOpRUzMeQirfuJuRzVkmo+i1HkFqs6RttiEEDAo5tUfd9xxHHdc8pE6iUSC++67jxtuuIFTTz0VgCeffJLc3FyefvppfvSjVLNWhEgfk1rEMOeVFDt+SCTWhE5rRqe1SyeNEP2MSS1Epz0Gp2E24XgjGnSoOhd6TQ6KIst7CCGEGNpMahHDXddS4vgxkXgLOo0ZRWvHpJakOzQhRJqoqorKJKbkPkYk3kY8HkDVZaForRiU3HSHJ8SgZFKLyLWcQZblaMKxRjSoqDoXKoWoipru8EQ/YFKLKHb8iAL7eURijWi1JhStY0D0Q5rV4UzMfphIvIVYwouqdaFqneiV7HSHJsSQNyiSj13Ztm0btbW1HH300e3HDAYD8+fP59NPP02ZfAyFQoRCofY/u93uXo9ViN0Z1fxvf5d8+QCxi9RXkU56XQZ6XQZm+u9owP5E6qsQA4fUV9ETjEr+nj8k9pvUVzHQmNRSTOkOIk2kvop0MKiZQCZmdUS6QxlQhlJ9Nap53/5uZFrj2BdGNR8j0uYUor8ZEMuu7o/a2loAcnM7jqDLzc1tL0vmjjvuwOFwtP8qLpZ99oaaeCJMLO4hkYj2yPWCUQ/ucAPhWJBYLIA/Wkso2toj1x7qpL6KnhCMenGHGwjF/ACEo2780VpisUCaI9s/iUSMWNxDPB7a84f7gNRXIQYOqa9iT6LREO5wHf5oW7pD6TGJRHTHczMRTnco3SL1VfQXg/F7oadJfRV7IxKP4Iu2Eont23tcIOLBHa4jFPP2cGRDi9TX5ILRJgKRum6fF4/7icUH779Jb6QZT7gx3WEI0W8MiJmPGo1mzx/q5jUSiUSX173++uu5+uqr2//sdrvlATNExOM+wtEyWryPEYlsxmiYjtNyLopSjFaj7/b1WkN1+GLNrGh+FU+0gXzjWCY7j6TJ/y6eyFqG28/GpORjVgt74acZGqS+iv3hDjfgj7WyovlVWiPVZBtGcIBrIb7QSqp8/yXTeCCF1uMxavJQ1YEzPjuRiBGJVeL2/Qd/6BMUbSEu2yXoleHo0rjvgdRXIQYOqa+iK82hSta7P2K77ytMOjvTM07AqeTiMBSkO7R9Ek+EiUYraPX+k2BkJaoyEpf1B+iVUrRa854vkGZSX0V/kPR7Qc3DoZfZKLuT+iq6EomHaAvXsqp1MXXBTTjUPKZnfA+HmodZse/xfHeoDn/cw1fNr9ISqSLLMJxproWYtXYs+sw++AkGF6mvHfkiFbSF1lHueZF4Ikqh9ViyjAdh0Xe9pH4kVkcovIoW7+OQiGK3nIXZMBd1kKyQ0RKqpi64hdWti4knYoyzz6fUMhXXAG0XC9FTBkTyMZFI7PO5eXk7pozX1taSn7/rC62+vr7TbMjdGQwGDAbZ6HyoiSfCeIPvUtP0E2DHv7tAeBmtnscpynkOs2Fmt67nCTey1beM/9U+3H6s0r+GlS2vcWbp7TQEPuDTmosZ47qUYuv3MKvyUNoXUl/FvgqE26gMrOG1qrvYWecr/d+wunUxpxXfgqKxsan1r2xz/5uD8/+Og3HpDbgbwpGNlNefRDyxa1ShJ/AiOc7bcFgWodWmZ09Kqa9CDBxSX0UqjcEy/l12HYHYrplNmzyfMjPjVKZnHI9DP/DatMHwSirrzyTBjhmPgdDnuH3/piDzr1hMR+3TIMS+JPVVpFtDcDvPlF1HILZrScJNnk85KOM0pmUcLwnI3Uh9FV2pDWzk+fIbiX47A7+Sb/im7V2Ozb+KsfZDMOhSD4jxR1upDm7k1arfkyC+43z/N6xuWcxpJbdQpLGjqrLHY3dIfd3FF6lgdeNtNAaWth9rCi7Dpo5mZt69WFLs6R2J1VPXdDW+0Pvtx/yhJejV8RRl/XPAJyBbQjW8XfsgZb6v2o+V+1eRZSjllOKbccnzTwxh/WLZ1c2bN/PWW28RCOxY2u67yca1a9dSWrpvG9wOHz6cvLw83nnnnfZj4XCYDz/8kIMPPnjfgxaDUixWR23zVexMQuyUIERt0+VEYt1bUiCcCPBe7V87HY8kQrxd8xAjnVcCsLHlEaJx/76GLYTYR/6Eh7drHuC7dT6WiLC45n6GOXfsCxyNe1jTdCf+SHUaouy+WKyZ2pZfdEg87lTfejPRWEMaohJCCDEYeML1fFj/eIfE405fNL9IKD7wliuPRmupafppe+JxlwQ1zVcSi9WnJS4hBgpPuIEP6x/rkHjcaVnzC4TkXVeIvdIWrmVxzf3ticfd/a/2YXzR5i7PD8a8vFVzf3vicac4Ud6svg9vXJ5nYt+1hdZ3SDzu5Ilsotr7FtFo8iWCQ+GvOyQedwpH1uHxv0oiEU9y1sBRH9raIfG4U2OojPVtH6T8exFiKEhr8rGpqYkjjzySMWPGsHDhQmpqagC45JJLuOaaa9o/V1xcjE6nS3kdr9fLypUrWblyJQDbtm1j5cqVlJeXo9FouPLKK/nd737HSy+9xJo1a7jwwgsxm82cc845vfrziYEnEq0kkUjeYRKJlRGLdd3Q+6764FbiJN8zsiG0DU37zKMETcEvunVtIcT+80QaCKfoJHVH6okldi3P3Rz8csAMEojFWwmGv0xRGicY7twwFkIIIfZGOBFiqzd1u3Wz5/M+jKZnxOItRGOVScsSCR+RWFUfRyTEwBJOBNnmTdX2hC0eedcVYm8EY15awsmfOdFEiJZw14NhfdEWQnFf0jJvtJFAzLPfMYqhKRRtocLzUsrySu+rBOO1nY7H40FavY+nPK/V9xSxeFOPxJgO/qibr1vfSln+Tdu7uGOyB6QYutKafLzqqqtQFIXy8nLM5l3LBpx11lksXrx4r6+zfPlypk2bxrRp0wC4+uqrmTZtGjfddBMAv/jFL7jyyiu59NJLmTFjBlVVVbz99tvYbLae/YHEgJcgtsdPdEc80fX1dp/lG08kT1IKIXrPd0eEdi7/bp0fGCPyOsf9nXL5vhFCCLHPEl0+P/fU/u2P9tQeYAD+TEL0rT19L0jbU4i9saf3uPge+qy6/34rxN5JaOJd9pmmbv8lSHTVjkpE6W5fa3+SSMS6bPvGB/isTiH2V1qTj2+//TZ33nknRUVFHY6PHj2asrKyvb7OggULSCQSnX498cQTAGg0Gm655RZqamoIBoN8+OGHTJo0qSd/FDFIqEoJGpLv56LT5qLTZnTrermmUWhSVDOXvgANkfY/Z5kO6ta1hRD7z67moNMk3/PConOhanbNunfox6PTpt5foz/RaR3o1dT7U5oMB/ZhNEIIIQYTRaOn2Dw5ZflI28Br0+q0LnTa7KRlGgwoSlHSMiHEDnv6XhgxAL8XhEgHo86KTclKWqZFR4a+uMvzLUoGiib5/oQmnR2TTiZhiH1j1GVSaF2YsjzfciQGXee2lFZrwmE9O+V5NvNp6LSZPRJjOlhUFxMch6UsH2Obi1lx9WFEQvQvaU0++ny+DjMed2psbJTNfEVa6LTZZDt/naRES17GH1F0ud26nqoxcFDWGUmupuPIvEspa/sLACW201G11n0JWQixH/RaE/NyLkxSouGIvB9T6f4nAFpUJmb+Eos6MDofFV0Wea67gM6JVZftMnS65C+0QgghxJ449HkclvtD1CSdm+Pt8zHr7GmIav8oujzyMv4IaDqVZTtvRtHm9H1QQgwgO74XLkma9BhvX4BJKwkPIfaGXcnlqPzLkg5in5t9Hiado8vzDVozC3IvTlKi4ci8n2DRdW9AvRC7cxmmYdd3HuRs0uVRYjsVVZd8sLZJfxAGdUqn44quEKd1ERpN6q3WBoJC0wRyjSM7HbcpWUxxHYsxxd+LEEOBks6bz5s3j3/84x/cdtttwI4ZivF4nLvuuovDDks9akCI3qLTmrCbT8OgTqDJfR+RaBkGdTKZjitQlRFoNJ07JLri0Ocy1XEshcZxLGt+AU+kkTzjaGZlnY478BmReBvTc+7CZZiEWS3spZ9KCJGKTc1itG0u2YZhLG16nrZwLVmGUuZknUU4uoWq0AoKLcczynkRxhQjUPsrg34yw/Leocn9IMHQMhRdHhn2yzHqD0CnHXgdw0IIIfoPp5rD+cPv54umF6nwf41RZ+PAjJMoNI8nENNhioXR65KvJtIfaTRazIa5lOYupqntfkKRNahKKZn2qzCo49FqjekOUYh+z6nmcv7w+1je9BIV/q8xKXamu75HoXk8Tn1+usMTYkDQarUUGidy3vB7Wdr4LPXBrTjUHGZlnkG2cThmpetEvlXNZKR1JpklJSxteo7WcA2ZhhLmZJ2FTcnAoEgSROw7q76EGbl3U+P7H5WeV4kTJd98JMX2k7GqJSnPU5U8CrMexxt4k1bfUyQSUezmU3FYzkAdBKtLuAwFfK/oV2xyf8aatneIJ6KMsR/CJMdRZBh6t6+3LthAPBEnU+8aUG1vMXSkNfl41113sWDBApYvX044HOYXv/gF33zzDc3NzSxZsiSdoYkhTKdzYtbNwaCfSCIRRKuxoNVa9vl6TkMeTkMe2cYRxBIRQE9doA6zfjp5yjTaYgbUmAFz8pUfhRC9zKnPxanPJUNfTDQRQqsxUB9wo9UUMyrjTrzROO6YBQ0q+gE0IE+r0WNQx5DnupN4woMGA7o9jJQVQggh9oZRcWBUHMzPvZBQzIdGo6Pa7+aO9X8llogzO2MGh2TPIs84cGYMarVmjPrJ5GfeTzzhQ6MxoZPZWkLstSg6QnE9B7hOZ2bmaYAGbzROOC4vukJ0h0m1YVJtHJt/JaG4D1VjwKLuednG+kAjNaE6Xq1+i2x9JqcVXYpWA6rGiE0/sAbSiv7LohYzzHo+eZYjIJFAr8tCr9tzn6mq5OO0XoTN/D0ggU6bMeBnPO7OpS9guvMkRtnmoCGBRclEr+u9wWt1wXpWtKzmg4ZPicajzMqczrysg8kzDZy2txga0pp8nDBhAqtXr+aRRx5Bp9Ph8/k49dRTueyyy8jPl5FxIr12zAzqudlBDn0OmzxbuG3t74gkIh3KjsqZzwkFx5BjlAahEOli12dTH2zk9ep3eLvu/Q5lqkbhxglXYzMMvE5IrdaEFlO6wxBCCDEImRUXnmiEezf8mTJ/ZfvxF6pe5ePGz7h+/JUDKgEJoNVa0LLvAw+FGKoagk3cuvYuQvFwh+OHZM3mjKLvybuuEN1kUmyY2Lv3z6ZgC0uaPue5yv+2H/ugcQlatPx87GUcIMlH0YMURcFK6pmOqWg0GpRBvAWMoihkKAW9fp/aYD0PbPobW31l7cdeqnqDjxuWcsOEqwdc21sMbmnd8/Hdd98lLy+PW2+9lddee4033niD3/72t+Tn5/Pggw+mMzQhelx9sIEntj/TKfEI8E79hwRigTREJYTYXTAW7JR4BIgkojy5/Vnqg41piEoIIYTov75p29gh8bhTfaiRJY2fE46Fk5wlhBhMGkJNPFX+fKfEI8AnjUvxRL1piEqIoSMYD/JC1WudjseJ89j2p6kJ1KUhKiFEb9jk2doh8bhTY7iZ9+s/IRgLpiEqIZJLa/LxtNNO44svvuh0/L777uNXv/pVGiISoveE4uGkD4ed1rjX92E0Qohk1ro3pCzb6iuTRpwQQgixm+ZQC580LU1Z/lnTcprCLX0YkRAiHcKxMOvcG1OWf9XydR9GI8TQUxWoIZaIJS1rCDXJYHchBgl3xM0njanb3kubvqQl3NaHEQnRtbQmH++9914WLlzI2rVr24/98Y9/5Oabb+b1119PY2RC9AZNl6U6Bs9a50IMVLo97Dmg0XRdj4UQQoihRKPRdNmG1aKVZ6cQQ4IGTRfvuzptWruehBj0tJqu61hX9VMIMXBo0HTZb6WVdrfoZ9LaArzooou47rrrOProo9m+fTt33nknt912G2+++SaHHnpoOkMToscZtXrG2UYnLdOgYaJjbB9HJIT4rnH20SlfzMbaRmHU9t6G4UIIIcRA49I7mZ9zcMryQ7Nnk6Vk9GFEQoh0MOoMTHVOTFk+zTm5D6MRYugpMOWhaJTkZcY8TDpTH0ckhOgNNtXG/OzUbe9DsmaToTr7LiAh9iDtw8+uvfZazj//fGbMmMHvf/973n77bQ4+OHUlEmKgyjZmccGws5I2+k4pPF6SGkL0A0atgdOKTux03KQzccGwRWQbM9MQlRBCCNF/jbYMTzrArsRcxEEZ01CU5J2hQojBI9Pg4uyS07Aqlk5lC/OOxKwzpyEqIYYOg9bABcPO6nRc1ahcMuI88kw5aYhKCNEbhpmLmWQf3+l4oSmfuZkHYVAMaYhKiOT6/E3wT3/6U6dj+fn5mM1m5s2bx+eff87nn38OwOWXX97X4QnRq3L0Wdw26Zd81PAZ692bcKoOjsk7jGxjJtkGSWoIkW7ZxiwOzZrFePto3qp5n9ZIG+Pso5mffTAuxZHu8IQQQoh+J9eUw49GXsBm7zY+qF9CPBHnkKxZTHCMJdconZ1CDBV5Sja3TryOJY3LWNO2Dptq5Zi8w8k1ZJNjzEp3eEIMapkGF1Mdk/jNxF+yuPZdGkJNjLAM48jceTh0tnSHJ4ToQbmmHC4ZcS5bvWW8V/8JsUSMg7NmMskxnjxpe4t+ps+Tj/fee2/S4zqdjiVLlrBkyRJgx/4hknwUg41ZNWNWzZxWeALuXC96rR67ak13WEKI3eQYs8kxZlNkKiQcD2NVzBh1MjNZCCGESCXPmEOeMYeJ9rHEE3EyDbLUqhBDjV6vp4A8Tio4lsNyDkHVqjhUSXoI0VeyjZlkGzPJM+YSjAWx6KyYVZkBJcRglGvMIdeYwzj7aGl7i36tz5OP27Zt6+tbCtHv6HV6snTyYBCiP5OBAUIIIUT3uPTOdIcghEgzedcVIr1sqgWb2nkJZCHE4CNtb9HfyQYcYlCo9LbgjYZxR4I49EasioFCi7NPY2gKtRKIBWmLeNBrVayKmXxZV1/0c9X+NryREK3hAFbVgE0xUGx1pTusHtcYbCEQD+KOeDHqDJh1JvJN2Sk/3xp24456CMVC2FUrdtWOSWY/CiGE6AVVvla80TBt4QB21YBVNVLUx+3Y3bWF3HhiftwRLzqtDrtiIUtxoapq2mISYqir9bXhjYVpDvkxKyoO1dSnbfaaQD2eqJ9IPIJDtWHWGskwOvvs/kL0R2XeZtzhIIFYhEyDBZuqJ8dk79V7usM+PFEvbREPWo0Wu2olQ7VjVORdVYjeUhdw442EaAr5MelU7KqRUlt6B9nEE3Fawq24Ix5ixHGqdpyqA0XbMdVTG2jEHwsQiAWxKRZMOiPZRhkgJPpO2pOPlZWVvPLKK5SXlxMOhzuU3XPPPWmKSgwkZd5mfr3idZY2bG8/dkjOCG6ZtpCSPnohqws28krVe7xV9zGxRByAAlMO1465mOHW4j6JQYjuqvC1cNfqd3mreh2Jb49NcRVw18yTGW4bPHuQ1gUbebHybf5X9xlxdtTPYlM+14y9iFJLYafPVwdquXfjI1QGagDQouXI3HmcUng8Tr3s+yiEEKLnlHub+c3KxXxUt6X92EFZpdx+4AmUWvu+Y6Au0MjHjV/yfOWbhOMRADL1Tq4acxHDLPlYFJlJIURfq/S18Mj6T3ixbBWxxI5W+2h7NvcedCpjHL072NUf8VMVbODuDX+nLtQEgKJROLHgMI7JO4Rc2ctRDFHftNRw1bIX2e5tBkDVaDlnxAwuGD2r1wYQ1QcbWdW6gce3v0ggFgTArlj56ejzGGUuwWWUd1Uhelqlr4UnNi3j6a3LiX7b3zvMmsF9s05lgjM/LTFFYhHWezfx4Ka/4456ADBqDVw4/GxmuqZhVkwAVAXquH/jP9jk3Q6ABg2zMqZy4fBT5Pkt+ow2nTd/9913GTt2LA8//DB3330377//Po8//jiPPfYYK1euTGdoYoCo9LVyw5evdUg8AnxSv5XfrHyTSl9rr8cQjoX5qGE5b9R+2J54BKgO1HPr2oeo9tf1egxCdFd90MMDaz9i8W6JR4DVLdX8bOl/KPv2JWqg80f8vFv3GW/XLWlPPAJUBGr4zdqHqA7Ud/h8U6iZ29fd0554BIgT5+26D3i3/iNi8VifxS6EEGJwq/a18ttVb3VIPAIsayzj+uWvUOFt6fOYNnnL+Ff5K+2JR4CmcCu3rX2IlrCnz+MRYqhzhwI8u+0rnt++sj3xCLDJ3cAlS/5Nmad32+wtUQ+3fPNAe+IRIJqI8lLVO6xoWdur9xaiv9rmaeLiT/7VnngEiCTiPLllGYsr1xGKRnvlvvWhFh7e8nR74hHAHfVy5/q/0hbz9so9hRjKwrEYb1au4x9blrUnHgG2e5u56OOn2eZp6uLs3tMQbuLO9Q+0Jx4BgvEQf97yBBWBKgBqgw38Yf2j7YlHgAQJljav5Jny12kOufs6bDFEpTX5eP3113PNNdewZs0ajEYjL7zwAhUVFcyfP58zzjgjnaGJAcIbCbGssSxp2Ud1W/BFQ70eQ2O4hVer30ta1hbxsN1f1esxCNFd7nCQ1yrWJC3b6K6nJeTv44h6R0vEw+s1HyYtaw63UR3oODigJlhHc7g16edfr/kfLZHkZUIMJVvcjekOQYhBwRsN80Ht5qRly5sq8PZBO3Z3NYEGnq9cnLQsFA+zrHl1n8YjhIDGsI9/bvkiaVltwM12X+8mH9e5t+CPBZKWvVj5dqeBfEIMBWtaa2gJJ68Xf9/0GdWBth6/Z2Oohf+keEbHEnHeqv2YQKRv2w1CDHZV/lb+vumzpGUtYT9rW2v7OCKIJWK8W/cRsUTygfEvVLyKPxqgLeyl3F+d9DMfNy7HF/P1ZphCtEtr8nHdunVccMEFACiKQiAQwGq18pvf/IY777wznaGJAaItkrzBt5OnDxpfkXgUTzT1l3a5vyZlmRDp4o2EOozc+q7eeGFKh3AikrLDBDrXz6pA6sZjIBboMBNEiKFoSd1WjnvnET6t35buUIQY8DyRYJflrSk6NntLgkSnQTm72+ar7MNohBAAwVgUXzScsnyzu6FX77/Nm7reN4ZbiHfxPiHEYLWhNfWzsinkIxrv+XoRioW6TPZX+GvwxQfHAGIh+otoPEZzFwPzN7T1/QCccDzCdn9FyvKqYC3xeIyGUOpZmbFEvMMMaiF6U1qTjxaLhVBoR3KooKCALVt2LTnU2Cij6sWeOVRTl+U2tfc33Va1CrYu9r8pMadnDXAhumJVDSia1I+AfNPg2C9Cr1Ex61J/TxR/p34WmvJSftakM6HXqj0WmxADUZV/x8CEvljWXIjBbk/tVKe+63ZuT9NqoMCUm7J8uKWoD6MRQgAYdQoWRZ+yfJStd/dsGm5NXe+z9C60aHr1/kL0R2OdqZ+VmQYLirbnu1oNOgMFptR7vBab87FozT1+XyGGMkWrI8OQul6N7eV9l5PRa1WGmYtTlhca89BodWQbUu8dr9NoMXXRTyZET0pr8nH27NksWbIEgOOPP55rrrmG22+/nYsvvpjZs2enMzQxQFhVAwdllSYtm587Epti6PUYsvQuTiw4PGmZQ7UxzFzY6zEI0V12vZETiiclLRtrz+mygTWQuFQbx+fPT1qWqXdS+J1O1nxjHhl6Z9LPn5B/FC41eZkQQgjRXRZFz4K8UUnLZmSVYO2Dduzu8ow5nFF0bNIyg1bPQRlT+jQeIQRk6c2cN3Jm0rJ8k51Sa2av3n+8fSSWFB2UpxUdTYE5dRJGiMFqkjMfV4oBQpeMmUNBLwzkzTK4OD3FM1qn0XJM3qGY1L5tNwgx2BWanfxg9JykZS69mQnO1IPXe4tOo+OI3HnoNLqk5acXn4hFMeFQbZSaC5J+Zl72TGy6wdHnJ/q/tCYf77nnHmbNmgXALbfcwlFHHcWzzz5LaWkpf//739MZmhggiixObj/wBOZkD+twfF7uSH59wHEUWHp/9pZep2de9gyOz1+AbreZZIWmXG6e+FN5IRP9Uo7Rxs8mzOO4wvEdxitPzSjkT7NPp9SaepTUQGJWzRyRO4ejcw9Bu9sjr8Scz68nXNZp9GimwcUN46+myLSrkaZFy9G5h3F4zjx02uQNPCGEEKK7Ci1Obpx6LPO/k4CclV3KHQeeSLHV1ecxjbaVcF7J9zrM9M/UO7lpwmW49LY+j0eIoc5uMHPW8GmcOXwaOs2uVvsYew5/m3s2w2y922bPUTK4eeLPyDPummGpaBROKzyaaa4JvXpvIfqr4bZMHj/0XIbvlvxXNVouHDWLowvGYVCUXrlvjsHFZaPOxazbtXKCQ7Xyy3H/h0Nn7ZV7CjGU6XU6jiuawIWjZqHu1t873Prtd4CtdwcApZKtz+SX4y7Hoe5qm5t0Rn4y8iKKTDsmwOSZsvn5uEsYYx3W/hkNGg7OnMZZxQtxGux9HbYYonrnibiXRowY0f57s9nMww8/nMZoxEBVas3gdweeiCcSwhMJYtcbsakGCszOPosh15jFqYVHcWzeobRFPBi0eiyKifwulsUQIt2KLS6um3wkl42fR1s4gEU1YFMMaens7E25xizOLD6OEwoW4I54MeoMmHUm8k3ZST9fYMrjxvFX4456CMXD2BQrDsWGUen9ZZyFEEIMLSVWF7cccBzeaAh3OIhNNWJVDRRZnGmJJ9eYzRE5BzM7cyqtEQ+qVsGqWLpc6k0I0buKLC5+On4eF46aRUvIj0nRY1cNlPTBYEFVVRmtlnLThMvwRv2E4xEcqg2LYsKlHxzbNAixLyY48/nr3EW4w0GCsQgZBgs2VU+Oqfc69HOMWczWGhlvH4k74kWLBptqIUN1yLuqEL2kyOLkkjGzOWv4dJpDPow6FbvemNYB+6pOZYJ9LLdPuhF3xEOcGA7VgUt1dBgwX2jK5aoxF+GPBQjEgtgUCyadiWzj4OrzE/1bWpOPN9xwAwsWLGDu3LmYzTLdV+y7wjR10Owuw+AkAyii76fdC7GvCvpB3ekLmQYnmTj3+vMOvR2HXkaCCSGE6H39oR27O6fBhhMbhdKmFaLfyDPZIY3bM8mgWiE6S0fywaq3YsXaafsQIUTvyTHZyTHBSHp3n+Xu0Gq0ZBpcZBq6TiTmmfpPzGJoSuuyq19++SWnnXYaLpeLOXPmcP3117N48WK8Xm86wxJDSDwRxxsNEIyGu3WeO9xMa6ixl6ISYuiKxKN4IwEi8dg+nd8abqQt3NzDUQkhhBB9LxKP4on4icSie/X5tnATrWFpnwoh9l4sEccbCRCKRfb4WU+klZZQI6FoqA8iE2Lw6E6/kyfSSnOonnCse31UQgwUA7U/NZ6IEYj6CMd75xkYiIbwRYO9cm0h0imtMx8XL15MLBZj2bJlfPjhh3zwwQc8/PDDBAIBpk+fztKlS9MZnhjkagPNfFC/kk+b1mBTzJxePJ/hlnyc+tRr5TeF6qjwb2JZ87vEEjGmOg9mjO0AsgwyMlyI/RGMhqkONvJCxUeU++sYYyvipMJDyDNmoNepezy/MVTDJs/XrGz9BK1Gx0zXYZRaxpApdVMIIcQAE4yFqQk08ULlR5T5ahllLeSkokPIN2ZiSPJMbAzVUubbwPKWD0gk4kxzHcoo6yR5BgohUkokEtQGm3mndjlfNG8gQ2/jjOIFlFhysasdV6VqCtXTEKri08bFBGI+xtimcoBrLtmGghRXF0LsVBto5sOGVSxp/LrLfqfmcD2NoRqWNL6JP+phlHUy013zcGiz0Ov1aYpeiJ7TuT91LmNsU/t9f2oikaAl0sBXLZ+w3v0lVsXOodknkmssxqLs/37ozSE3a91lvFz1CdF4jGPyZjIjYyzZRuf+By9EP5DW5COATqdjzpw5ZGRk4HK5sNlsvPzyy2zZsiXdoYlBrDrQyOVf/omWyK5Ztkub1nJS4SFcOPzYTi9cAE2hWl6o/CubvV+3H9vmW0eOoZCLhv9SOniE2EeReIxlzev4zTf/IEECgLXuMl6t/ow7p/6IA5yj0Gg0Kc9vCtXy5Pa7qAtWtB/b4l3DcMt4ziy+VOqmEEKIASMaj7GiZSM3f/048d2eia/VLOWOKT9kums0Ws2uxWuaQrU8W/4gZf4N7ce2+taSbyzl/GHX9vsOHSFEepT76/nZivs7zLL4pPFrvj/sGE4vmodF3bHGa3Oojg/q/8vnze+0f67Mv4FPmxbz45G3kmss6vPYhRgoqv2NXL4iVb/TMdhVCwDNoXo+aXydTxrfaP9cmX8jnzW9xY9G3ko+JX0euxA9qTFUywsVf2GLb037sR39qUVcNPy6ft1n0xCq4eHNN+CP7arH37iXc1jOyczPPhmzYtnnazeF3Pxh3dMsb9nYfuzrtq2UmnO5c+qPJAEpBoW0Lrv6yCOPsGjRIvLz8zn00EN5++23OfTQQ/nyyy9paGhIZ2hiEAtEQzy29Y0ODcCd/lv1CQ3BlqTnVQe2d0g87lQfqmJFy8eyLIYQ+6g53MYf1j/TnnjcKZaI8/t1T9MYbkt5bjQaZVXrZx0Sjztt862jwi8DWYQQQgwczWE3d677d3vicaf4t8/EppC7w/Htvg0dEo871QTLWOv+oldjFUIMTJ6Inwc2vZh0ebd/bH+LprCn/c++qKdD4nHXcTdv1z6LO5L83VmIoS4QDfH4tjdT9jvVB1t3fTbm65B43Mkf8/Jmzb9kSXUx4FUHtnVIPO5UH6pkZeuSfrucdzDm57XqJzskHnd6v/5lPNH92/Jno6eiQ+JxpzJ/He/VryCeiO/X9YXoD9KafLzssst4//33ueqqq9i8eTMvvPACl19+OVOmTElnWGKQc0f9fNSwOmX5J42dE4y+iIcvmt9Pec5XLR/RFpUGoRD7ojHkJhBL3thsDLXhDvtSntsabWBFy0cpy79ofk86RYQQQgwYLWEP3mggZVnbbp2YreEmlnfRPv2y+SMag7U9HqMQYmDzRAN81bIpZfmq1s3tv/+67fOUn/um7QtCseTfV0IMdZ6onw8bVqUs/3i3Pql1ni9Tfm6DZ2Wv7TEnRF/wRdx80fxeyvIVLR/h3s8kXm/xR71s8HyVsnyDO3Ud35NQLMIrVZ+mLH+j+nNaw52TnkIMNGlNPr744ouce+65PPPMM+Tk5DBr1iyuu+463nzzTbxeqWCi9yQSiZRl0Xgs2RkkSD3iJE4cUl9SCNGF78547H556rqZIA5d1HchhBCiP4nv4ZnVYUZkIrGjDZpCgjho5BkohPiOPXzPxHabadHVrIs9tdGFGOq66nfavZ4luqxncaSzSQxkiW//l0o80b/bq13GTrL+472/7s5ra9BQZMqm1JyL7tvtFWIy61EMEmnd8/Hkk0/m5JNPBqCtrY2PP/6Y//znP5x00kloNBpCIRndMxRUeFppDQf4vK4ci6JnZm4xFq1Kvs3RK/ezKiZmZ07g06ZvkpYfkt155q1FtTPNeSgbPCuTnjPFcTA21dmDUQqRXL3fhycSZGVjFU0hPzOyi8g2WCm2O9Md2j7L0jswaFVC8UinMpdqxa5aU55rVzOZ4pjDu/UvJC2f5pyHXZ/RY7EKIYQQe1LpbsUTC7O0rgwtGubklWLWqhTtxbM6w2DDpDMkXRHArphx7vZMdBqymOY6lG2+dUmvNdV5MDadPAOF6Gtl7haq/W5WN9VQaLEzwZVLjsGC1WhMd2gAWFUTE+zDWOvenrT8ANeo9t9Pch7ER42vJP3cWNsBqFpDb4QoRK9o8Hpwx8KsaKiiJexnZnYxmUYzJTZXj9/LopiYkzmBJSn6nQ7Nntz++3H26bxT93zSz420TpJ6JgY0q+pgmvNQNnqSzxKc4pyDTemf7VWTzsxIy0S2+JLX47G2A9p/X+1144uGWFpXTiQeY3ZuKXa9gSKrM+m5Rp2e4/JnYdfamJ8xg/U1TUSicS4amc03vo2YDAoOdd/3kxSiv0hr8hGgubmZDz/8kA8++IAPPviANWvWkJmZyfz589MdmugDFZ5W7vjqfd4sX99+TKfRcOvMo5mfGLFXnTTdZVGM/HDkCaxq3YIv1nGfi8NyppFrTN7wLLGMocg0kspAxz3knGoWB2UejlFn7vFYhdhdnc/DV03VXPHJfwnvNkN3Tm4Jd84+nmKbM33B7YcMvY2fjj6Fuzc81+G4Bg1XjzuTLIM95bl6nZ4DMxawovVjWsL1HcoKTMMYYR3fKzELIYQQyZR7Wnl8wxc8sWF5h+M/nXQwZ46YusfBQhl6B1eMOY3fr3u6w3ENGq4aewaZ+o7PxNHWyeQZS6gNlnc4nqnPY6rzYAyKdFgK0ZfK3C38+KMXWN/a0H7Mqur5+4IzGE82NqMpjdHtYFctXDHmNC5f8adOg/9OKjykw/eMTXEw2TGbr9uWdvicUWvmuPxzcOoz+yRmIfZXndfN8sYqrvr0FSLxXTOK5uaVcseshT3+Lm1RjFwy8gRWpux32pVssehsTHcdyoqWjzt8Tq81cnz++bj02T0amxB9rdQyliLTCCoDWzscd6pZzMw4DKOufwzO+S6TYuV7hRfz4OZfEfnO8scHZRyJQ91Rjyu9rbyyfS1/XPlhh3mSZ46cws8mz02ZgBxrHsY3Hj8Xv/Jah/NOPWA8Pzt0Fjqtrmd/ICHSIK3JxylTprB27VoyMjKYN28eP/zhD1mwYAGTJk1KZ1iiD71XtblD4hEglkhw47K3ePW4iyjqpfsWmbP588yreblyCZ83rcWmmjmz+DAmO4bj1CefZZVlyOPc0itZ517B8pb3icajTHbM4kDXfLIM+b0UqRC7eCIhfvbxy0S/s/zCZ3Xl/HPTCn466WBs+v7ZaOuKXqcyL3sqwyx5PFX2DtX+RkZYCzi39EiKTNloNV2vEJ5lyOOHI27kq5ZPWN36KVqNjhkZC5hgn0GmIa+PfgohhBACNrTWd0o8Ajy45lNm55buMfmoanUcnDWJhw68gn9u/x8V/nqGW/I4Z9iRFJuyO3VCZBry+P6wn/NN2zJWtHxEnDgHOOcy1XmwtE+F6GN1Xg+//+r9DolHAG8kzCUf/IeXj72wXyQfAYZZ8vjLzGt4oeIjvmrZhEtvZVHJ4Yyzl2JTdw2qzTTksTD/PCbaZ/Jp02ICMR+jrJM5OOtY7DpJPIqBwx0Nc8WS/xL7zlKoS2rLeHbzKn4ycQ4Wvb5H77mz3+m/VUtY2rij3+mM4gVMcYzo0O+UYcjlqNyzGGc7kCWNb+KPeRhhmcAh2QtxKJJ4FAPfjv7Uq1jr/pLlzR8QT0SZ7JjN9Ix5/b69mmMs5Koxd7Gk8U02elZh1tlYkHMSpeYxmBUbALV+L3et/LDTuc9tWc3BecNSJh8bPAHue39pp+MvrlzH4SNHUjiAVzgTYqe0Jh//7//+L2WysaGhgexsecgOZtvdzTy+vnPnzE4vbF3NpMzeSRxoNVoKTFn8cMTxnF16OIpG1+ElK5VMQx6HZC9knG06aBLYlUz0up5toAqRyntVWzolHnf696aVLBp1wIBMPsK3yz85hvHrCd8nFA9j0uoxdmO2RpYhn/nZJzHNdSgakKSjEEKIPlflcfP39V+kLH9iwxeMc2STae56CSWLYmScvZQbJpxLMB7BqNNj0qV+JmYZ8pibsZBJjoNIADadS2Y8CpEGnmiIdyo3Ji+LhNjsbmSEo38sLadodRSbc7h09En4okFUjQ5rivfhTEMumYZchlnGEUvEMOtsWLrYFkGI/uidyo2dEo87/XPTCk4bOZnhPbxdx85+p0uGH8+ikq77nXbWs1LLGKLxKGadFYtq69F4hEinTEMeh2YfzwT7DBIksCsZA6I/VafRkWXI5/j88zki5zS0Gh1mZdcz0BMO8s+NX6Y8/7H1XzAtq5CS78yujsZi/GPZypTn/eXTLziopAinuX8MWhJiX6U1+fjTn/60w58TiQRvvvkmjz76KK+//rrs+TjIxRMJGoO+lOW1fi/haBS90nv/TFWdgkvX/QZdllESG6Lv1fjdKcs8kRDxLja0HyjMigEz+9ZhqtfpydJJ3RRCCJEekXiUxkDqtm1jwE8g2nl/41RMihETezeoSFEUMhV5BgqRToFYNGVyA6De7+3DaPaOXqui16t79dkMQ04vRyNE76nxeVKWtYWDJHrxXbo7/U6yxKoY7DINuekOYZ8oWhWr1tHpuD8aob7L9r+PWCLW6XgoFqPOk7pd0OjzE4l3Pk+IgSbtez4CbN26lccee4wnn3wSr9fL8ccfzzPPPJPusMRuQqEITS0+fP4wRqNChtOCxbwjQVDZ2Io/GCEYiWI3G8i0mbGZ99xRYtQqTMsq4JPa7UnL5+aV9mri0RcO0hx1440EULUKFp2BfHNWr91PiFRC4ShNLV58vh31y+UwY7XsqkM1TW4CkQiH5A5LupQbwFhnNopG01ch94qGYBu+mB9/NIRFMWFTTGR0sd+jEEIIsa9isTiNzV483iA6nRaH3USGs+sZiamU17fgCYQwGlVm55awxd2U9HMzc4pwGPcumdgYasUbCeCPhTArRmw6E5nGzh0eQoi+U9HQijcYIhqLYzcbyHZYMBt2DZqzKCqZBjNNIX/S8ydk9K8OV3fER2vYhzfqx6DTY9EZyDPJUqqif2hu9dHmCRCLxrHbjGS6rOh0ybfjqGpswxcKEwzv6JNy2cw4vtMndXBeKf/ctCLp+RNcuSh72OpjX0m/kxCDW6bexKzcYj6rK0taPi27AGuSFUnMqsqhI0t59MzvUR9pwxcLEieOVWfGrrHR7PFT0+ChpS2AxaCnMEveA8TAlLbkYzAY5D//+Q+PPvooS5cu5aijjqKmpoaVK1fKno/9THOLj3+99DkvvbGSSDSGRgNzZozkN9ceT0WTh1uefps1ZXUAWIx6LjlmFkcdMIqiLGeX1y2wObh66jw+rSvrNGMr22Rhbv7w3vqRqAk08WnjGp7c/ha+6I7Nv8fYirh23CJGWgt67b5CfFdzq49/v7yMF177qr1+zT5wBNf86Chys+2U1bfwu+fe4/MN5dz2g2MYZnOx3dPS6Tq/OGABpfb+sYzTvqgONPLXza+xpPFr4iTQabQclTuD84YdRb50ggghhOhBPn+IpV9u5b6/vUurOwDAsOJMbrrqeEYOy0Gr3bvBPC1uHxtrGrn13/+jusmNquj401Un8Z+tXxOKRTt81qrqOXPU1L1aHr0m0MSjW17jo4bV7c/Ew3Om8f3hx1Igz0Qh+lwgEGFLfRM3//NtttTuGFzgspq46qRDmTGqiIJvOwTzjFYunzyXm5e/0+kaM7OLyDLueZuPvlIbaObt2i94tuJ9grEwAJMcw7l67JmUWvpXklQMLfF4gq1lDfzm3tfZVt4IgMNm4vJLDufgGSM6DNIF2FLTxC1Pv83X22uBHX1SFx81k2Omj6Vot8768a4cSqxOyr2tne75iwMWUGJ39fjPkqzfabS1iF+MX8QI6XcSYlBQFIUTSifw2PrluMPBDmV6rY5LJx5MtrnzUuUajYbTp45lvb+CP65/lqrAju+7Jyb9mv98tZq/v70Mf2jHiimTh+VxyzlHMzJf3gPEwNM7Q3v24NJLL6WgoICHHnqIM844g6qqKl599VU0Gg1abVpCEimEwlGefnkZz73yJZHojuneiQR8+sUWatv8/OShF9sTjwC+YJj7//sxX2yq3Kvr5xptPHn4WYxx7Bj5pQHm54/gn0eczfBeTKR807adhzf/t70BCLDRU8l1K/9Mhb++1+4rxO7C4SjP/Xc5z7y8vEP9+mz5Vm666xUqGlq55tFX+XxDOQD3PPsRv5l0DMcUjUH37SzHEquTh+edwhj7wF2epTbQzL0bnufjxh2drACxRJzFtcv4x/a3aAi2pTlCIYQQg8mmrfXccvdr7YlHgO0VTfz0hmeobdj7Z06Dx89lj7xMddOOZdEj0RiPvPApDx90ClMz89s/NyO7iKePPIdC855HLNcGm3lw00t80LCqwzPxnbov+fuW16gPtu51fEKInlHr9vDjB19oTzwCtHgD3PSvt9nesGtQoNlg4LDCUfz2oGPIMe3oaNRrdZw5cgp/PPgESmw9n9zYF6FoiCWNX/Pk9rfaE48Aa9q28avVf6PK35jG6MRQV9fg5mc3PtOeeARo8wS47d7X2bilrsNny+pbuPThF9sTj7CjT+qBV5fw2foyotFdA4GG2TN4/LCzOrxLD7O5+Mu8Uxlp652+p2T9Tpu8lfxC+p2EGFRKzHaeOfIcZueWtB+bmJHLP488m2xT6pVV2hJ+rlv11/bE4y0TLmTphgoeeHVJe+IR4OvttVz68IuU13eeiCBEf5eWmY9//etfue666/jlL3+JzSYbKPdnzS1eXnrjq07H33nmZ3y0towGd/J1rf+2+HMOHFlISU7XL1gFNjsFNjt/nX86gVgERaPFrOgpsPbeUotV/gae3P5W0rKWiJf17nKKzbKfheh9TS0+nn89+dIvv7nmKKravGyu6djJ8fOHX2PhrHH8ZcZpFGY7MCoKwwbwjEcAXyzAipZNScv+V7eCs0oOJxtZYkKInSq2NVA8fOAOOBAindyeAH/950dJy/yBMEuWbeGMEw/c43XafAGe+Wgl0Vi8w/HVW2v5/RPvc+VphzBmTjZxEph1KkU2517F548GWdq0NmnZRw2rOW/YMXt1HSFEz/nw6y14g+GkZX9+Yyml2a725dCKbU7OMk1hTm4poVgUvU7BqRrJNO/bss69oT7cxr/L3k1aVhtsptJfT6EsCynSZOmKrXh9oaRlf37qI+769ek47CYANlc3UteafM+0v731OQeNKaZ0tz6pEY4Mbp1xNNceMJ9IPI6pF9+lq/yN/KOLfqd17jLpdxJikFBVlfEZudw15wQC0TCxRAKzoqeki/Z/MBJmcc3nhOO7kozFFHHbWy8k/Xxd647+wT31swvR36RlmuE//vEPli1bRn5+PmeddRavvfZahxFJov/w+cOEI503uFUUhTVltUnO2KG62U00Hk9Z/l2ldhfjXDmMcmb1auIRIJ5IUB1IPZpznbu8V+8vxE7+QJhwOPl3n9PpZGttc6fjwXCUFz9ewzUPvkbcmxjwiUeAppAnZVk8EccXCaQsF2KoWbF0Cz88+U989fmWdIfSr9X7vNy77FOa/PL9IToKhaNs3t6QsnzlNxXE96IN6w2E2VCZ/Dr1rV4efX0Z+rCOMc7svU48ArgjyfeKA4iTwBtNXS6E6HnhSLTDrKrv2lTdSDTW8X1ZURRGODIZn5HLSEdmv0o8AkTiUVoiyRM2AJu8VX0YjRAdrVxTkbJsS1kjod3en78pr0v52fpWb6cBQgC5VhujnFmMz8jp1XfpeCLePpspmfXu1D+nEGJgKrI6GO3MZpwrp8vEI4A3GmCTp+PzNhqPU59iQAV0/Z0nRH+VluTjOeecwzvvvMOaNWsYN24cl112Gfn5+cTjcdauTT7SV6SH0agm3fcmHo9TmpO6oea0GNH10yV0NRoNLn3qGbclMvpM9BGjUUWXYl8pv99PQWbqRLyq6DDp1d4KrU851K47ZExJNucWYqiqq96x1EptlSy50pV6v4/7v/iMpkBwzx8WQ4qi05Gfm3o2/YjSrL3aBsJsVCjMTH2dwgw7xn14TluUrveENO+hXAjRs/Sq0mHm1HcVZNrRaPZun9j+QtEomHSp29dFJlldQaTPyGGp//3l59hRlF3P6GG5qeum3WxA0aWvT0q7h36nYrPUMyGGMovWSIGp4yoDilaL3Zz6+dzVd54Q/VVas0PDhg3j1ltvZfv27Tz11FOcdtppnHfeeRQVFXH55ZenMzTxrQyHmQVzxnQ6fsSZ93PgqMKUyY+z508jx9m/RnjulK23c3rR/KRlBq3KdFfnn1eI3uBymDnskHFJy3503fMUZTrIcSSvR8cdOLbLRslAYlNMjLDkJy070DUGsyQfhRBC9BCX08xFZx2ctEyn03L0/Al7dx2rhXMXTEtZfsERM8hxWrsdn1UxMcZWlLRssmME5i4SBkKI3rFwxjiUFIMSLjpyxoBbAi1Db+PEgjlJy6yKiZHWgj6OSIhdDps7tkOCcXcXnTWXjN36maYMy8di1Cf97FmHTiXLnr4+qaw99DsdKP1OQgxpJoOBEwsPRsOuAUw+xcNZh05N+nmLUc/k0ry+Ck+IHtMvpqZpNBqOPfZYnnvuOaqrq7n22mv58MMP0x2WAMxmA5dddBjTJ5d0OF6U78Rp0fPwpafgspraj2s0cPzM8Zxw0HhM+uSNwHQzKAYW5BzAsXkHdfiSt6sWfjflh2Qa+mfSVAw+ZpOeSy+Yz4FTSzscL8xzctfNp1OS4+KBH59MQUbHGZAHjy/l/46dRWYaX6Z6UoE5i19P/D6l5twOx8fbS7lizOnkGTPTFJkQQojB6IBJxXz/zDkdVh+wmPXcecOp5Gbv/fL/2U4Lv150JAZV135Mr+j4+anzu1y9oCv5pkx+NeG8ToNyxtiKuHbcWeSb5JkoRF9zmo3cfckJWHdLcui0Gr5/+HSmjyhMY2T7xqqaOKlwLvOypnQ4nqG38fsp/0eefmAlU8Xgkptl5w83nobFvKu+abUazjttFgdO6dgvlWk38dBPTiHDZu5w/NgDx3LynEkpE5N9Yc/9Tt0foCSEGFxcOivXjz8Ho27Hd9U1qx/mpNmTOPbAsR0+l2Ez8/BPTiHXnno2tRD9lZLuAL4rIyODK6+8kiuvvLL9mN1uZ+XKlYwYMSJ9gQ1hOVk2fvPzE2lu9VPX4MblMJOZYcVptTJWa+DxK8+k0e3D7Q9Rku3EbNR3Spb0N3mmDL4//GjOKJ5PZaARq2Ii02DHqdqwKKY9X0CIHpKdaePWa06kudXXoX5lZex4GRlblMMjl51Ks8dPizdAYaYdm8m4z52a/VWJJZfbJv+AtoiPplAbOUYXNsVEgTlrzycLIYQQ3eC0mzn3lINYePhEqmpaMRpUcrJsZGVYURTdni/wrYIMB/MnjWD6qEKqm9qIJ6Aoy4HNYCBrP1YAKTbncOuki2iL+mgMtpFjdGJTzZ2WZhJC9I0sp5VpqpZ/Xns2dS0eApEoJdlOLHo9uRkDsyMwz5TJ/406kfOHH011oAm7YibDYCdHcaCqg2NrBzEw6fUK0yYV88T9F1Hf4CYYilCY58TlNGM2dZz9bzOZGJOn8PiVZ9LQ5sXtD1Gc7cRi0PeL9+X2fqeSBVT6G6TfSQjRQbbZyXTNaB458Grqgy1EElHipiCXnziXHxx9EBUNrdjNBrIdVgpcVnk+iwGp3yUfk0kkEvt1fjQa5ZZbbuFf//oXtbW15Ofnc+GFF3LjjTfu1Z4uAhx2Mw67meElHTs9zGaVYeYMhuX23kbdvSXXuCPmYdbkyz0K0VccdhMOu6lT/dqpNMfV5V4zg0WhOYtCpGNVCCFE7zOb9JhNegrz9u/5muWwkOWwMLyH28IF5iwKyIL0950KIQC7xYzdYh6Q772p7JxJPUKWWRX9jKLoyMu2k7cXqxGYzSql5v77vtze72SR5RKFEJ25THZc2Cmx5Ow6+O0YxtEF0j8mBr4BkXzcX3feeSd//vOfefLJJ5k4cSLLly/noosuwuFwcMUVV6Q7vAHFFwhhMcleM0L0BqlfQgghRN8KBsPodDpUde9nPAohBh9phwvRv4TDUWDHTEghhBjswuEo8XgcYxqXixaiNwyJp/hnn33GSSedxPHHHw/AsGHD+Pe//83y5ctTnhMKhQiFQu1/drvdvR5nfxUIRGhocvP+ZxtZt7GGgjwnC4+YhNNqIitrYC4zIwaXgVxfA4EIDc0ePvpsI2s2VFOQ62DhkZNx2ExkZ0r9EoPPQK6vQgw1g7m+Vta0sG5TDe8v2YjJqHD8kVPIzbZTmOdMd2hC7JPBXF97SyQSoabezUefb2bNuirychwcf8RkHHYjOVky7Vj0HqmvqVXVtFBR3cIb760hEU9w1PzxjCjNpii/f85sFIOf1FfRm6pqW6mqaeGNd9cQjcU58tBxjBqeI995YtAYEsnHQw45hD//+c9s3LiRMWPGsGrVKj755BPuu+++lOfccccd3HrrrX0XZD+2vbKRK296Dn8g3H7shddXcPM1J3CgWorDIWvVi/QayPW1rKqJK296Fp9/t/r1xlf8+qrjOXBSMS6XbEQvBpeBXF+FGGoGa32tqm3lV3e8zLbyxvZjb3+4juOPmMz3z5hNgSQgxQA0WOtrb9pW3swVNz2L17erU/nFN1Zw4xULmTGlhIwBup+j6P+kviZXVdvK/X9/j8+Wb20/9sFnG5kyvpBfXX4chdIZL9JA6qvoLVW1rfz5yQ/54LON7cc+/Gwj40fncfM1J8qgSDEoDIgNDzUazX6df91113H22Wczbtw4VFVl2rRpXHnllZx99tkpz7n++utpa2tr/1VRUbFfMQxUVbWt3PngWx0SjwDxeILfP7CYNm8Ad6ufyu2NlG+tp6aiOU2RiqFsINTXuuoWyrc2ULm9keYmDwDVda3c+dBbHRKPsKt+eb5zXIjBYCDUVyHEDoOxvgaDYV57e1WHxKNe1XHsggnMmlJK0Buirlras2LgGcj1taneTcW2Bsq3NlBf3don96ypa+MPD7/VIfEIkEjAnQ+/Le1w0asGcn3dk+qKZsq21FO5vRF3m69b527aWtch8bjT6nVVfLGqrKdCFKJbBnN9FelVVtHUIfG407pNtXz8+Sai0Wgaoup5TfVt3+YNGqjro3ae6D8GxMzHRCKxX+c/++yz/POf/+Tpp59m4sSJrFy5kiuvvJKCggIuuOCCpOcYDAYMBtnzwecPsaWsIWmZVqshEYnxxAP/493XVhIKRhg+Jo9LrjqakuE5ZOc7+jhaMVT15/ra0uylpqKZv/1xMetWV6AoOuYeOZ7zLz2CsAY2b6tPel4oHKWiqpmSwow+jliI3tWf66sQoqPBWF8bmry8+f437X92OczceNmxvPfSCu655lkikRhjJxfyw6uPJa/QRVautGfFwDBQ62v51nqefPBdPvtgPfFYnMkHDuOH1xxLXrETu93Sa/f1BUJs2FKXtCwcjrK9oonSosxeu78Y2gZqfe1KXU0r5Vvq+fu9b7N9cx0Gk8qRJx7AGRccQl7Rnt9pG1u8vPL26pTlr76zmpkHlFKYJ7MfRd8ajPVVpJ/bHeCVt1elLH/9na+ZO3MkxQUDu0+wfGs9TzzwP5Z+uIF4LM6UGTvaeblFvdvOE/1H2mY+RiIRRowYwdq1a/f42TfffJPCwsJ9vtfPf/5zfvnLX7Jo0SImT57M+eefz1VXXcUdd9yxz9ccKmKxeMqyn54/n7uue543/vMFoWAEgG0ba7nx0qcoT5FQEWKoaaxt4xcXP8aGNVUUj8jGlW3lw8VruOHHT6LEux5YEQhF+ihKIYQQYmhIsGOAz05XXLiAR37zCh+8sZpIJIZWqyXoD/OHG16gsU729BGiN1WWNfLLHz7OknfXEv/2vfPrL7dz7UWP0lTr6dV7d/WeCxCUdrgQ3VK2uZ5fX/YU2zfvSOqHAhFef+4Lbv/5s9RU7nlFAU0iwY6ndHKhUIR4bP8mJgghRH8RjcU6vJN8VygcZT/nYqVdVVkj113yOJ++t669nbd6+XauvejvNNd70xyd6Ctpm/moqiqhUGivllQ95JBD9utefr8frbZjnlWn0xGPd/3CMdTUNbnxhyJsrmpEp9MyIj8Th9NMpstCU0vH5TIcNhNGjZbN62s6XSeRSPD3+94mvySTgr0Y4SZEOnhavLTUtlK+rgpbhoX8EXlkFrrQ6XQ9do/GujaeevhdrvjdKZSOz2drdRMmvUpBpp3/Pb+cTd9UM3VCEavWVnY6V6OBkaXZPRaLEEII0Vda69toqm6hemstmfkuckqyyeonM/nNJpU504fzzsfryc914GvyU1PRjFar5Rd3n0n+yCy2VjdhMRpQnEYaG91kZdnTHbYQg9LSDzbQ3Ni58ykcivL84x/zw2uOw5XV/f3Pm1o9eAIRttc2EwpHGV2cjVFVKMjeNZPZbNKTk2WjvrFzklOjgdHDc7p9XyGGquqKZv5+71tJyzatraauqpX8FH1DFXUtNLR6qW32cNH5h/D9RQdz+92vU9vQcQDQoQeNIsMls2SEEIODy2nhsLljWZ5iSemDZ47EaTelPL+xxYMvFGFrTTORSJTRRdkYjSr5Gd1/b/E0e2mua6V8XSX2DBv5I3L3u380Go3y6XvraGnq3M4LBSM8//jH/ODqY8jIlP21B7u0Lrv6s5/9jDvvvJNHH30URem9UE488URuv/12SkpKmDhxIl999RX33HMPF198ca/dc6Cpbmjl1U/X8tjrnxP7djaWquj4+dmH8YebT+MHV/6jw+dLizPYliTxuNPWDbVEuxjBIUQ6Nde28shVT/DBs0vaj1mdFn772vWMO2gUOqVnEpDBYIQzfnIYb3y1kV/95932UUtGvcLNFx2DpiXEj78/j0uvf7rTiKbTj5+OyaD2SBxCCCFEX6mvaOT2Rfeydrf9S7KLs7hj8Q2Uji9KY2Q7xBNw/hlz+PTLrYwalsPaL7cD8Mdn/o/nP13Dq0/v6jw1G1Ru/7/jmaDqyHRIh6cQPamt2cuKzzalLF+9fDs+b6Dbyce6pja+2lzNbU++0z6jQKOBs4+czqLDD6Ag2wlAXraNKy45nBvv/G+ndvjJxx6AySjtcCH2ViQcpWxL6tWvVi3bygGzRnQ6vqWqkasf+C9VjW3tx8aV5nDnLadxza+fp7F5R6d1psvCcUdMJhSOYjHL8pdCiIEvGIowfVIxJYUZlFd1nB3udJg5deE0wpFY0nNrmtwsW1vOnf96l3B0x2e0Gg0XHjeTk+dNpiBr77eNaK5p4aErHuej/3zWfszmsvLb137J2Jn73j/qbgmw4rPNKctXL9+O3xOS5OMQkLZlVwE+//xzXnzxRUpKSjjmmGM49dRTO/zqKQ888ACnn346l156KePHj+faa6/lRz/6EbfddluP3WOg21rTzN9eXdqeeASIRGP87qn/EY7Hefh3Z3PApGJsViOjhudw3qmzyM5J/WVmMKlodWn95yVEUrFojNf/+k6HxCOAt9XHL4++jYaKph67l8msZ2tzK89/sKpDp0YwHOXGv71B0bg8ivJd/Om3i5j2bf0aOSybX1+5kNNPOJCahrbUFxdCCCH6Gb/bzyNXPtEh8QjQUNHIr467ncbqPS+71tt0Wg2ZTjOP/P5cJo7Nx+40c/TJ01hZXsurS77p8Fl/KMLPH34Fty+YpmiFGLxUvYLdYU5ZbnOYOq1etDfa/CFuenRxh6XMEgl4+p0VfL21tv1YXaOX0cNzePD2szlwSsmOdnhpNjdcsZBFJ82kqra12/cWYqjS6bToDaknFDgzOw/gKa9r4ecPv9Ih8Qiwvqyeu5/9gJ//9BhcDjMnH3cAf/rtInKzLCg9uEqREEKkk6LT4rTrufPGUznv1IPIzrTidJg58egpPHT7IvKyrShK8nZQi8fPbU++3Z54BIgnEjz2xjI2VTbsdQzRSJRX//J2h8Qj7Fgp7rqjf0tD5b73j6pGBZtzD+083Z5XwxQDX1pnPjqdTk477bRev4/NZuO+++7jvvvu6/V7DUQ1jW089dbylOXPvvcVv1i0gF/97Ngde+HotORkWqhx2dBqNcST7Ft3xPEHYHemnh4uRLo017by4n2vJy0L+kOsWbKevB5aZimQiPPU218mLYvFE7z5+Xp+eupcRg/L4Prv1K+TLvozT9x3YY/EIYQQQvSFlno3n/73i6Rl9eWNNFQ0klWQ3uVXM5wWXnh9BTMnZ3Hcggm0TPTii0a5/snFST8fjcV5f8Umhhdk9nGkQgxuZquRhWfO5IPFXyctP/Hs2RSUdK/exWIxXv54DfEUmyT9Y/EXTByeS1GOC4fNxE1/+C+3/eJ4rvvpMUTCMbQ6DTmZVr534SM8ef9F3f6ZhBiqbHYjC46bzNsvf9WpTKvTMm32yE7H27wByutak17v87XlXHXmfB68fRE2m5Gtm9ezvcLOvNmjezp0IYRIC1VV2LCljReefZprr/0Zxx0xCRJgtxqori7nw611HDVvQqfzfIEQz7+/KuV1/7F4OaMLszssNZ9Kc20rL93/RtKyoC/I2s82kjds3/pHbTYTJ5xxEB+9tSZp+fcWzaKgWN6vhoK0Jh8ff/zxdN5efCsciVHb3Hmvi51qmjx4gxHO/NHf2o8ZDSr/uu9CrvnNqdx904sdEpAjx+VzxoWHYJflqUQ/FA1H8bb6UpZXbUq9nHB3xeJx6rqoW1UNbcRiCb5/xVMd9psx6BXuvfVMsjK6v8eNEEIIkS4hf6jLPdWb+8FMIo1Gw2Fzx/L7BxazdMU2nnv4B2gTeupbUj+vy+tb+y5AIYaQ7DwHZ118KM8+9nGH47MPG8f0JEs07kkgEKa6MfXKIbXNnvaVfmxWI9deegwXXf0vaut37S2n1yvcc8sZZEo7XIi95siwsuiS+WxaW8O2jbtmGGt1Wn7xu9OwWDsvldriCXR5TX8owkXX/AuAYw+byKUXjOvZoIUQIs1KCjMoGj2HY899oMPxIw4Zx+WXHJ70HH8oQk2TO2kZQG2Tm0gs+XKt3xUNR/G1+VOWV+9n/2hOgZMzLjyE55/4pMPxgw8fzwEHdb+dJwamtCYfYccGpB988AFbtmzhnHPOwWazUV1djd1ux2qVBn9fsJpUxpXkUJViiceJw3KxmQ3ceeOprN1YQ0lhBpPHFZKRZWPqrBE88p+f8uWSTbQ0ezngoBHkF2eSX5zeUe1CpKI36ckblkPt9uR7UoyfPabH7qUqOsYUZ7Nqc3XS8imj8tHrFR75/bls2V7PNxtrKC5wMWV8IdlZdnSydLEQQogBxGw3YTDpCQXCScvzh+f2cUTJZbqs/Ory46htcLP443UcddhExhRls6Ei+TJFB4wq7OMIhRga8gszOO6Mmcw7djKff7iBUCjCrHljcWVaySvq/vuk1Wpi8oh8Plm9LWn52JIc9LvtXVSY5+ThO85hS1kDa9ZXU5jvZOqEYnIyrSjSDheiWwqKM/n13Yuormhm1RdbyciyceDBo7DYjGRm2zt9Pi8j9T5fqqLDajLww3MPYc6BI8jJsuOwy8paQojBxW4zceZJMzji0PF8unwLkUiMOTNGkJNpw5liaXqrWc+k4XksX1+RtHxcaQ4mo36v7m8w6cktzaauLPk70Lj97B/NK3Rx/JkzWXDcFD7/aD2hUJTZ+9HOEwNTWpOPZWVlHHvssZSXlxMKhTjqqKOw2Wz84Q9/IBgM8uc//zmd4Q0ZmU4bFxw3kw++2txhz0fYMQPrpEMnYzUbOXjGSA6e0XG5jKwcO1k5dkpH9swylUL0tsx8F5f8/lx+u+jeTmU5JVkMn1zSY/cqyHLwk5MP5sd//E+nMrvFyKFTdoz0ycmykZNlY86MzsvRCCGE6H11fi9Pr1/JOeMOINcsg9/2VUa+i9OuOoGnf/dip7LJ88aTke9KQ1TJuZwWXE4L40fnA/CTU+Zy5Z9e7vS5DLuZ6WOL+jg6IYaOvIId3wsjx+b3yPWOnDGG/2fvvsObrNoHjn+f7NEk3btlyxAFFFRARRQERBHFjSC4FX0dPxfuvffidc8XnIALwYGIiIgiiAxlQ0v3SpumzXx+fyDF2qQUaJOO+3NdXNpznnEncPqM+4y3F/xK9b86QSgKXDpuMGmJ9achS0qwkZRg46jDpAe+EAcqPTuB9OwEBg7d+/SoMWYDR/bJ5ud1OxrUnXp0XxwxZiafObglwhRCiFbDZjVhs5ro3MQpSM0GA2OHHMz7C1dR4/HVq9MoCheOPYrk2KY9zyakx3PRg+fx4MRnGtSldk6m88FZTTpOY1IzdiUZu/Vqnvs80fZEtTvfNddcw8CBAykvL8ds3tOL6bTTTuPbb7+NYmQdT5LNwpNXjyc9cU+PtK7pCbxw3QQS7aYoRiZE8xsw4hCue+kybP+YTqn/8IN57Nu7SMps3jnHM5JiefDSsST94+Lfq1MyL14/gfSE8L09hRBCRE6R28XTK5dS5HZFO5Q2zWDUM/7qk5h4+wRMll1TrGm0Go47ewjT372G2BAjH1qLrmkJ3H3hKOLte3oZ9+2axgvXTSA7pfUkTYUQjUt2xDDj/86gZ1ZSXVlKXAyPXH4KqU18GSeEaHnpSbHcOmkEo47sWTfjj1Gv45wTBjBp1OEk2EOP+hFCiI4u0W7hxesn0C0jsa4sLcHOE1eNIyl235ZAO/zEflzz30uxxe25RxpwfF8e+fpOEjNkdKI4cFEd+bhkyRJ+/PFHDIb6w4E7derEzp07oxRVx5SUYCcpwc4L103AVeNFUSDGZCBTXraIdsgeb2PUhcMZOKo/ropqDGYDjkRbvYttc0lLsJPksNCrUzIutwedTovFpCczKbbZzyWEEEJEW1yKg4m3TWD0hcfjrqzBZDUSm+zAYmvd06WlJzlIsFs5pGs6rhrP31O+GUj/1ygpIUTrZjYb6NM5lUevOAVXrZdAIIjNYiRLnmuFaHUykmK57oxjuOikI3F7fFjNBmItRuIc0lFACCHCsVlNHNItnSemjaP673udGItxvzpM2hNsjLnoeI4YPaDF34+KjimqycdgMEggxCKoubm52GwyIiga5KFMdBRarZbk7ESSsxP3vvEB0ul0MmpCCCFEh6E36knt3Pam5DcadXRKleu1EO1BRnJstEMQQjRBYpydRLn0CiHEPstspnudSL4fFR1PVKddHTlyJE8//XTdz4qi4HK5uOuuuzjppJOiF1gHkJdfQU5uKWVlMr2YEC2httZLTm4ZuTvLqPnXmjNCiNYpZ3NRtEMQQjSDQCBAebmLomInObmlFBRURDskIUQzKS6p2tWuC53RDkUI8Q9FRZXsyCmlqEjaphBCHCiPx0dpqQun011XVlC469mmuKQqipEJsW+iOvLxqaeeYvjw4fTp04fa2lrOO+88Nm7cSGJiIrNmzYpmaO1WfkEFa9bu5KM5v1JeUU3fPhmcd/ZRxMdZiY+XIdVCNIedO8uZ/9UfLFy8HoATjuvDqJF9yUiXLp1CtFYrf9zArRe8woNvX8qAIT2iHY4QYj8VFjpRFZXyMjfvzlrKxs1FJCfZOefMI+jWNZm01NhohyiE2A/FxU6KS6t5d+ZSNm0pIiXJzjlnHUnXzkmkpcVGOzwhOqz8wgqKCit5e+ZSduSUkZURx8RzB5OeFivXXCGE2Ed+f4C8/ApmffAzK1Zuw2E3c++dp7F1WzGzPviZwqJKunVNYtK5Q0lKtJKUJEtEiNYtqsnH9PR0Vq1axaxZs/jtt98IBoNcdNFFTJw4EbO5da8L0xbl51fw9v9+ZP7Xa+rKvvv+T5Ys3cgTD58jyUchmkHuzjJuuvUD8gv29Ph8Z+ZSvvt+PQ/ddwaZsmCzEK1SYW75rv/mlEU5EiHE/ioschIfb+HX37Zz+92zCQZVAIqLq7jjnjmcd85RjBvbn5RkeUgXoi3x+Xxs2FTEnffOqdeub797NpMnDuHkMf1ISrJHOUohOh6ns4aVK3fw2FNf1pWVlFSx8vcdXDNtJMcO60W8wxLFCIUQom3Ztr2Eade+i9frB+C5J87jy6/W8Na7P9ZtU1xcxfJftnLPHeOJjbWg1+ujFa4QexXVaVfdbjdms5kLL7yQ559/nhdffJGLL75YEo8txFXtqZd43M3nC/D8jG/IyyunqsIdYk8hOh53VQ15W4rYtHoHeVuKcLtq97qP3+/n+x/+qpd43C13ZzlLl21qiVCFEEKINq28qJJt63eyafUOinLLQq4JvzeBQJCvv11LQWElz7zwdV2C4p/e++Bnamt9zRGyECKCCgurePr50O363Vk/4a5p2K7LCp1sW7+TzX/soHhnGYFAMBKhCtHq+Tw+CneUsGn1DnI25OM8gKV4KqtqePGlb0PWvfTaIqor9/4MLYQQYpfKqhqen/FtXeIRoNbj552ZSxtsGwyqPPviNxQWRW85NZ/XT2FOKZtW72DHhnycpbK0m2goqiMfk5OTGT9+PJMmTWLkyJFoNFHNhbZ7K3/fHrZuw6ZCaj0+npv2Otc+cwEpssis6MBK8st55Y4P+WHurwSDKhqNwrDTB3HxPWeS0Mi0TkVFLr7/4a+w9Yu+/5NjhhwkU0MJIYQQQDAYZOvanTx8ycvkbCgAIMZh4dIHzmLI2AHE7MNoicqqGr79bj2DDu9CYWFlmPOpbNlaTCe5zxWiTXFVeygJs75RMKiyfUcJnbITAAj4A2z+I4eHL3mFvC271nK2x8cw7bHzGDSiLxabdHQWHZezpIr57/zAzCe+wOP2AnDQYZ25+aWLyeiWsu/Hc7qp/vs4/1Zb66OsopqsLJn5RwghmqK62sPvf+TU/XzfnePYvqM0ZOcr2DUC0tWEgRItwVnqYsH/ljDzsc+prfYA0KN/J25++WIyu6dGJSbROkU12/f222/j8Xg47bTTSE9P55prruGXX36JZkjtml6nbbReo1FY+f2f3HP+i5TLIuGig3I53bx400y+n/1L3QU+GFT57qPlzJg+i2pn+NHBGg3otKF/rfbplc7k84ficMgLDyGEEAKgKKeMG09+rC7xCLuuw09e9SYbVm7bp2MpioJOp6nXmfHEEQcz/caxTJo4pK5Mt5f7YSFE66PRKnX/P/rEvtx601jOP2dwXZlev6ddF+WWceMpj9UlHgEqy1w8dNHLbF23MzIBC9EKBYNBlnz+G2/cN6cu8Qiw4bdt3Dz+CUryyvf5mHq9hmuuGslN14+hT6/0BvXaf7RdIYQQjVMUBY1mz+9NZ2VtvXucf0tMiCElNfLTzquqyrIvV/H63R/XJR4BNq7azs2nPkHxTlnKRuwR1ZGPp59+OqeffjpVVVV89NFHzJo1iyFDhtClSxfOP/987rzzzmiG1+4M6N8JRQE1RIeJw/p3wmwyALBlTQ4ev8rWTYX88O06ykpdHHZEV7odlErG3z1KhWivKoorWfrFqpB1P362kql3nI41zEiM1NRYxow6lPV/5deVJSfZeOTeMykpdLL02z/546ctDBt5MDa7mbTMuJb4CEIIIUSb8Mu3a3BX1YSse+Pe2XQ7JAtHgq1JxzKZ9Vx/4xgsRj3nnHkEY0b05c8/clm7bAvpWfG8OWMqv6/NlVGPQrRBVouR8846klEn9GX96hzW/LSFjOwE3pwxld/+2EFG+p576u9n/1IvsfJPbz0wlzvfuYIYhzVSoQvRapQVOHn34U9D1pXsLGfb+p0kpjf9+TQ/txzFD8VbSqlxe5h6zmASUxzcfOeHFBVXYbebcdhlvUchhGgqm83EkKO6s2TpRgAef/or3nr1YoxGHR6Pv962Lz41EQLw/mtL8PkCHH18b1LSHKRn7vto85K8crasyWH5V6tJTItj6LjDSUyPxWw1hdy+rKCCtx/6JGRdaX4FW9fmkpQho97FLlFNPu5ms9mYOnUqU6dOZd26dUycOJF77rlHko/NzGTWc9GUY3n1jcX1yu02E1dedjxW667eFG+ve5SVy7fy1P2f1iUqv5zzG+lZ8dz/9HmSgBTtmquRdU9VVcVVUd3o/ocP6ESf3umsW58HwJMPncPjd89h3ercum0+encp50w5mtHjB5AmF2QhhBAd1Nq/H6xD2bZ+J94mrs/o8fn5ac02bp7xOT88fyUnHteHmy5/i/LSPdfsd15axJ2PnU2MVX/AcQshIisjPY4Tju3NDZe+gbN8z7362//9jrufOAeHfdfLMZ/Xz7rlm8MeZ+vaXGqrvZJ8FB2St9ZHeVHoackBNv+xg4En9G3SsfJyS1nwySree3NJXdkXs1fQ59BMnnzoHC647DVu/r+TiI+T5KMQQjSV1WLksouPY83anVT8Peua2aTluv+M4pHHv6h7R//ys5P5cs4Kvvh4Rd2+n3/0C4cf1Y2rbzlpn94zFuWUcuvpT5K7qbCu7K0H5nLDjAsZcvJhmK3GBvt4a32U5leEPebGVds54sRDmxyDaN9axSKLtbW1fPDBB4wfP57DDjuM0tJSbrjhhmiH1e6kJjs4/rjePPfUREYc34fD+nfiwguO5vmnJ5GaYuWM7OsAqHH7ePqBzxqMkMzLKePtl76jtDj8DasQbZ3FFrpnz27mvawTk54ex603ncwd08dx353jWbTgj3qJx93ee3MJFWWNJzKFEEKI9qxL38ywdamdEtEZmtZPsqSimukvfUFQVSkrrubZhz6vl3gE8PkCPHTbR7irPGGOIoRorfJzy3j6/k/rJR5hV7t+8NaPqKzYNYJap9fSuXdG2OOkdkrEYJIOCKJj0ht1WO3hn2WzeqQ1+VgVZe56icfd1q3OZdGCP3jvncvp2SMVa5hRM0IIIULLzIhnxnOTueryEzisfydefv0H+h2axYxnL+Ck0Ydyykn9qKqoqZd43G3Fss2s+GlLk8/lqfHy7qOf1Us8wq6BF09c+TplhRUh99MZdNjiwnfkyu7ZcBpu0XFFNfn41VdfccEFF5CSksLll19OcnIyCxYsYMeOHTzyyCPRDK3dSkuNpW+fTK6ZNoLpN43lrAkDueTQm5mQdS0AnxW+yMrlW8MuZrtk4Xrc1aGnsRGiPXAk2uhzRLeQdX0H9yA2ce/Tv2Wkx3H8cb3pnJXIl3N/C7vdV5+t2t8whRBCiDbv6HGHow+TYDz/plOIS2raGiZrtubjDwQBqK3xhez0A+Cu9pKXs+9rWgkhoqvG7eWvdXkh66pdHoryncCutZJGnjcETZg12CfdMg57fEyLxSlEaxaf4mDCVSeGrItxWOh+aHaTj9XYc+yXc3/DU+0lIUHamhBC7I/UFAenjz+c++8+nZv/7yRSkx30PCiVKy89nosuOIYvZv8adt/PP/6FnblNW3OxoqSK7z5YFrIuGFRZ+f36kHXxqQ7OuHpUyDqLzcxBh3Vu0vlFxxDV5OP48eNxu9289dZbFBYW8vLLLzNs2LBohtRhxMSYUbwBHpzycr1yRVGocoZeewfA7w8S+PvljhDtkSPBxs0vX8xBAzrXK+95WGdu+u9F+/bCQlWpdtWGra6qrMXvD+xnpEIIIUTblpwZz/0fXkNM7J5p2TRaDef831j6D+vd5ONUVu+51nq9/ka2BJcr/H2uEKJ18u2lXf/zfjslK4F7Zl1Vb4SXTq9l6h2n0XtQ6A6GQnQEWp2WMZOPYeS5Q1AUpa48IS2WRz75P5KauE6Y1+unqjL8tbTa5UH99zRaQggh9omiKJjNBnQ6bV2Z1WrEHwjgqgr/nrHa5SEYaNrv4KA/2Og9VlWpK2S5VqvlxPOGMnrSMfWuJ/GpDh799P9Iymj6+sGi/Yvqmo8FBQXY7U3r0SyaX0JaLP/34lQqiqsoySvHHhdDpbOa/oO68O6r34fcp0v3ZAxNnAJLiLYqJTuRe9+/mvKiSsqLKolLdhCXbG/SqMd/Mpn09BvYhZ++/ytk/eBhPevdSAghhBAdid6go++Qg5ix+C5K8svx1HhJyUokNtkecn2RcA7ttmdqH2uMEUecpcH0jLt16ZZywHELISLLYjNhd5ipDNFJVlEgu0tS3c8Gk54Bx/VmxpK7KN5Zjt/rJyUrgdhkOyZL03+vCNEexSU7uOzBsznn+pMoyi3DYjeTkOIgIS223gvkxhgMOoYM68mShaFHxPQf1AWTWaY3FkKIlpCQYOfIYw5i1S9bQ9YfdmQ3YmxNu9+x2Ex07ZvFljU5Iesb6wwal2znknvP4Mz/jNp1PbGZSEiN3afriegYIp5FqqysrJdwrKwMv36gJCZbnj0uBntcDNkH7Znfv9bt55DDsvnjtx31tlUUuPTaE0nPavrCtUK0VbGJdmIT7XTps//HSExxMOnS41ixbDNeT/3eRJmdEuh1cPg1aYQQQoiOQKvVkJQZ3+QRF6Ekx9k45tAu/LB6K/FJNi66agRP3vdpg+1OOOlQLBbDgYQrhIiCxGQ7U6edwDMPft6gbuTJ/RskOnQ6HcmZCSRnJkQqRCHajBiHhRiHhYwD6IzTq28mmZ0SyN1eWq/cYNRx/iXDSEx2HGiYQgghwjhiaA9m/+8nigvr51QsVgMTJh5FXBNnbHMk2rjy0fO46eRHGyy/dujRB5HaOSnMnrtYHRasB3g9Ee1fxKddjYuLo6ioCIDY2Fji4uIa/NldLlqOx+Oj0hm6R3h6VgI33Dmec6Ycjc2xa7qaXn0zeHTGBWRmS+JRiKaqqfaQnGrnqdcuZODgbmg0CkaTnrGnH869T51LRra8EBFCCCEOVJzNzGNXnsK3j12KosChAztx12Nn07lbMgDxiTFc8p+RTL7sOFJkGiAhWiW320u1yxOyzmw2MOCIrtz56Fl06rbrRVhCko1Lrz2R8y46ltR0addCtBSfz0/Vv94dZWQncO9T53LS6YdjNOnRaBQGDu7Gk69MJWEfZwsSQggBfn8Av6/xaeZ3y8xO4KEXJjHy5H4YjDo0WoXBx/bkyVcvJC6xYeIx1O/x3br3y+aJ+bfQ58juAMTEWjn/5lO4+ZVLiUuSQWHiwEV85OPChQuJj9+VwPruu+8iffoOr2BnOc6yauZ9/AtlxVX0P7IbRw3rSUanxHrbpWbEcc6UoznxlP6ogFajkHYAPdKF6EjydpSydWMh336+CoAxEw7n6ltOwu8PoqAQYzfiiN2HtSOFEEIIEZLX66Uor5IfF65jzYptJKY6OGnCQHr2SeOux84iGNw1e0dKugOdTpYOEKK1yc8tY+f2UubPWYHfG+C4MYdw0MEZpP+rk15aRhxpGXF06Z5St56ctGshWk5xfgUV5W7mz/6VovwKDh7QiaNHHExKhgO9Xk9GVgIXXHYcZ0wcjIqKXq8lJU06AgghxL4oL3WxY3MRn3+4HJ83wKjxh3HQwRkkJDee+MvqlMhFV4/knKnHAGA060n6V7KwuNBJZYWbBbNXkJ9bxkF9Mxk2+hDik2zExJgAMFmM9B7UjbtnXoXH7UXRKMSl2NFqZYko0Twifqc+bNgwAPx+P4sWLeLCCy8kKysr0mF0SEX55SxduI6XH59fV/bLko188MYPPPLKVDp3rz9M2mw1krEP6+0IISA/p4yn75nL6l+31ZUtXbieAUd25eo7TpVpi4UQQohmlLO1lFsueYOqf6wF9+VHv3L17adwxDE9SUqVqd+EaK3yckp57emv+PGbdXVly77/k+6907ntsbNJC3HfLPfSQrS80uJKVizbzDP3fFKX7P9lyUY+enMJD78yle69d621HBsfQ2wTp/cTQghRX3mpixcf/pwfvlpbV7Zs0Z/07JvBHU+dR+JeEpBx8Vbi4q2hj13mYu3K7Tw6/aO6KVV/WbKR2W//yEMvT6HXIfVzMfb4GJBbLNECIj7t6m46nY7HH3+cQCAQrRA6nBq3j1eeWNCg3FlWzctPfElRfkXkgxKinfn9ly31Eo+7rfx5C+t/39FwByGEEELsl8K8cl586PN6icfdXnz4C2rd3ihEJYRoqtxtJfUSj7ttWp/H4q/W4Pc3bfoxIUTzqnZ5eP7+z+oSj7u5qmp57oHPKMgtj1JkQgjRfmzdUFAv8bjbX2t2svTbdQ1+B++L6spanrp7boO1HGvcXp66ey75uWX7fWwh9kXUko8AJ5xwAosWLYpmCB3K6l+2hv3FtfKnLdTICxohDkjhznLmz14Rtv7Lj3+lqKAicgEJIYQQ7Zi72sPalaE79gT8Qf5akxvhiIQQTeVy1fDlx+Hvm7/65DcKd1ZELiAhRJ0tf+bj94ceKPDXH7nUuEOvzyqEEKJpvB4fn876OWz9Z+8vp6Kser+Pn5dTiqfGF7Ju+6Yiqqtq9/vYQuyLqC6QMGbMGKZPn86aNWs4/PDDsVrrDxUeN25clCJrnzye8D1HVVVt0BtCCLFvAsEgPl/40dxer59AIBjBiIQQQuyNy7sFsEQ7DLEfgoHG7109ntAP3EKI6Av6g/i84Z9PvR4/B9DhXwhxAPZ2/ZRnWiGEODDBoIrXG/53rdfrO6CRj43dY4H8HheRE9Xk4xVXXAHAk08+2aBOURSZkrWZ9RvUOWxdt15pmMz6yAUjRDuUkOxgyPG92fxnfsj6Y0YcTFJK43O2CyGEiJySmp9YXnAJNsNT0Q5F7AeTxUBm50Ryt5WErO/TLzvCEQkhmsoea+XYE/vy648bQ9YPPq4XjrjQ6xgJIVrWQQdnhK1Ly4rHbDVGMBohhGh/TGYDI04ZwG8/bQ5Zf+yJh2Bz7H8H2awuSWg0SsiBRgnJNmJspv0+thD7IqrTrgaDwbB/JPHY/GwOC8eNOaRBuVan4bIbx5CWKSvLCnEgjEYdx405lKRUR4O6lIxYhhzfG50uqn0+hBBC/EONfycAnkBRlCMR+yMjO4ErbxmLRtvwkWb0aYdjjpGXo0K0Zgcf1olO3ZMblDvirYw79yhsDnMUohJCmC0Gxp51RINyjUbhipvHkpGdEIWohBCifTl0YGeyuyY1KI+NtzL2zEHo9dr9PrbJamTCBUc3KFcUhctuHENKRux+H1uIfRG1t+DBYJA333yT2bNns23bNhRFoWvXrkyYMIFJkyahKEq0QmvTaqs9eD0+zDYTtS4PrqpajCYd8ckOUjPimHLVCPof0ZW5/1tGeZmL3odmMfGy4cQn2aIduhBtjruqBr8vgNVuRqvTUrizDGuMgYdfnsIXH/7C4gVrQIFhow/hpDMGyUOaEEIIsZ9q3R68tT5MViNej5/KCjcGo5ZO3ZN56u1L+N9/F/LXmp3EJ9k5fdIQDjm8M6npcdEOW4gOrbLMRbXLg8lsIC7E82ZGdgJ3Pz2Rbz5byTefrcLn9TP4+N6cNnEImZ0ToxCxEB2P21WL3+sniIq7yoMlxkhqRjxnTjmag/tn8fHbSykpqqRH7zTOv/x4EpJlJh8hhGgOiSkOHphxAd98toovP/4Fvz/IsFF9OfW8wdjjzOTllGIw6kncj9+7ySkOxp45iB590vnwjR8oyq+g60GpTLz8eJLT7A0GRgT8AVzOavQGPRZb+M5fLqcbNagSE2uR3I1okqgkH1VVZdy4ccybN49+/fpxyCGHoKoq69evZ8qUKcyePZu5c+dGI7Q2q6q8mu1/5vHh8wu49vnJ7NxeymfvLeOv1bnEJ9k4bdJQ0jLjSM2MZ3RmPIcO7EJQVTGZ9CSmNBylJYQIz1lSxaY/dvDxC19z4cMnY6mOY/2qHXz58a94a30cM7oP51w8jJPOGAQKxCfFYLHIlAZCCCHEvqqurCF3UwEfPb+A/zwxkYKd5cz78BfWrNiGI97K+POH0LVHClffcSq1NT60Wg3pWTKbhxDRVFbopLy8mrnv/sTWDQWkZMQx4YKhxCfZSM2o3z7TsuI5Y+oxHD+2H6oK9jgzdodMtypES3OWutiyZgfp3dOoKKtmzjtLyNlaQna3ZE6fNJTYeAvHj+1P70Oz8Ad2vTsKNcOPEEKI/adRg/TqkUTyRUeDojBw5CE4S13878Vl/L58C/ZYC6dOHEynbsmk7uOMhakZcaRmxHFQnwx8/gBGo47ktNh62wSDQQq3FTP/jYUsn7eS2CQ7Z94wjm79O+NI3JP0LC2s4I8fN/DZa4vwef2MOHswg8f0IylDnrtE46KSfHzzzTdZvHgx3377LcOHD69Xt3DhQsaPH8/bb7/N5MmToxFem+OuquHzN7/nrQfmMjf3Wbb8WcgtF7+O1/P34rLrYfniv5g07QRGntyf5Mx40mUElhD7pbLcxTuPfsbnry8C4CrDJJ6791NWLttUt82GtTv5bOYvPPTKVDI6Sa9tIYQQYn94arwsnvsrz1z/Dh9vf4q87RXcNPVVatzeum1W/LiR0yYNYdy5R5ElI6WEaBU2byzk7qvfIeAPArBpfR4/frOW/9x5Kkcd25P4f3V+NZsNcs8sRARVVVTz3lPzOPuGMaxcuoVHb/kQVd21LtjmP/P5/svV3Pr4OVjsFtKy5N2REEK0hNKCCh6aMoM/lvwJwEcFL1Cc5+SGKa/gdnnqtvvtp02MPesIzph6zH4tmZaaGX42mNy/8vjPkNuodrrryn796ndOu+YkJt15Jra4GEoLKnjksldZ/eOGum02rNzGnJe+4dG5/ycJSNGoqCQfZ82axa233tog8Qhw/PHHc8stt/C///1Pko9NVF5cyfHnHc4JZx1J4fYydKi88N4VeANBpp3xQt12/5uxkKNH9o1ipEK0faV5FUy6bSxn/udEal1eXGVVTLvlJMor3Nw45dW67YryK/jsvZ85/4rjibHLejVCCCHEviovctJjSBrv/vEIpTsrUb0+nn33MtAqXHLqs3XbzXlnKSNPPTyKkQohdtu5vYRn75nLSx9fjRoIUFPtwWQxYjDpuW3aWxwysAvyikqI6CotqGDOf7/htGmj6H1wOjPeuwKv14fFZqKk1MUtF73Bc/d9whNvX4rV2nA9MiGEEAfur1+31CUeAdxVfl554st6icfdvvhgOWPOGNSs5692VvPf/3u7XuJxtznPzOOki0/AFhfDxlXbuee9aVQUuahx1RL0BzHbzCRlxjL7hW848z+j0Wo1zRqbaD+iknxcvXo1jz76aNj6MWPG8Oyzz4atF/XFJJioLvPw2j0f8NOXvxMMBLHFWTnnujG8/tm1XHjK0wAEgyp//ZFDp27J0Q1YiDYstWsCJblO/nvbe/z23XpUVSUu2c6U28bz+qfXcOG4Z+q2XbzgD04++whJPgohhBD7QTX4saoO3rx/Dotm/4LfF8ASY2L8ZSfwxufXMvXkp+u2XblsE117pkYvWCEEAFWVNTz26lS+fPsHPn3tO2pcHvQGHcPPOIL7n5tMcbGbrC7RjlKIju3Xb9cyN/dZinaUM+OW91i5eD0ACamxXHjnabw65z9cfNqzVFY0fCEthBDiwHlqvHzx2sL6ZbU+Vi3bEnaf5Yv/onvv9GaLoaqsml8XrApb/8v8VaR1S+XgoV3J+auQ5274HxtXbQcgo1syVz58LiecPRhnSVWDWS2E2C0qaemysjJSUlLC1qekpFBeXh7BiNq26jIPD1z4Ej9+vpJgYNfUNlXl1bxy50f8vGA1z713ed22u6fSEELsn7K8Sm4/+xlWLFxX157Kiyp56pq32fj7Dm578tw9G6t//xFCCCHEvvPqePb6d/jm/WX4fQEA3K5aZj7xBfPe+oHXPr2mblO5xxWidUhKtvHJK9/x/jPzqfm7577P6+ermUuZMf09kpMtUY5QCAEqpTud3HbmM3WJR9g1IvKxK99gx8Z8rr17PHJpFUKIyGpNzzRqcFcsFQUubhn/ZF3iEWDn5iLuOOc5youcURraJtqKqCQfA4EAOl34f5larRa/3x/BiNq20vwKNv+RE7LuvSe/wGzUA6DRKPQ6JCuSoQnR7mz7M4/CHaUh695+aC5du+2ZluaYE/sSGycvWIQQQoj9Ue2sYeXiP0PWffrKQgJ/JyQBBhzVPVJhCSEaUe2s4fM3FoWsW/71HyGnEhNCRNbJFw1j4+odFO8sC1n/1gNzOfSwTjjirBGOTAghOgaj2cBJU4+rV2Yw6uh/ZNew+ww65qBmjSEmzsphIw4Nf77RA1A0sPDDn3G7ahvUBwNB3ntqHkFfsFnjEu1LVHLTqqoyZcoUjEZjyHqPRx5I9sXmP3aErXOWuqh1ewE499LjMJn0kQpLiHZp3c+bwtbt3FxU9yI0McXBuPOOIiZWHtiEEOLfSj05JBilQ5RoXN7WorB1nhov7qoaAMaddxTWmNDPFUKIyHI53fg84TsSF+WU0vXgzAhGJIT4N71ez9qfNoat3/5nHoFAkIR0mUZPCCFaSq9B3Th48EGs/WkDAFa7nktuGMONU17FXV0/NzJ6wsBmX9IpJtbKFU9N4T+Db617rtrt1GmjSciIo6rczfpfwk8Fu3HVDmqlY5loRFSSjxdccMFet5k8eXIEImmbSvPLqXHVotVpSeuSTHJmQtht9QYdBpOeB16aQkZ2AimZ8RGMVIj2J7VzIgBHjzucMecfjcGkZ8fGfN68fy7BQBCNVsOkaSdw3Jh+ZHQK3zaFEKKj2uZayQc7buXs7AfpFDMg2uGIVsrj8dC5dzqPfvJ//LliK+8++hneWl9dvaIoGC1G7nl+Ep26JZMq97hCtApm666OABndUrjglnHEpTpwVbh5/+kv+XPFVuzxMVGOUAjhqnAzZtLRHDX6UD57fRHL5q+uV2+Pj0GjKFgs0rFHCCFaSkJaHLe9M41Vi9bx6UvfcMvox3h4/nSennk58z78hd+Xb8ERZ+HU84bQpWcKqRn797xTkl+Or9aPOcZIbJK9Xl1Wr3Re3vAYOtWIu6oGjVZDclY81RU12ONtuF21JKbHhf8MqQ50Bpl3VYQXlX8db7zxRjRO2+aVFVZQml/BrCe+4M9ftxCXZOe0K0dy8FHdscfHUFnmarDPsNMGYo21kH1QWhQiFqL96X9Mb579ejobftvGy7e/T1V5NYcO7cnDH1/Hzi1FOBLtnHnh0RgMhmiHKoQQrZLTVwhAha+QTlGORbRO+duKWfTxz3w9cylej48jR/Xj2a9v5eU7PuC3RbvWpjr8+D5YbSaO7J0R5WiFEP9ksZm59bVLiU20MevxL9i+ficp2Qmcdc0YDGY9sYmSfBQiWpzFLkoKynjvyXmsXbYRR4KNcZcczznXnsQNJz+K379r6rxxFw8nvpGXzUIIIZpHQlocJ5w7lCNG9yMYVImJMWGzmTn/iuGccu5RGAxaklJj9+vYJXnl/PXbVj58Zj5FOaV06ZvJxJtOIbN7al1nMFdZNdXFXt5/ai5/LN2APT6GcZccz4Dj+hCbBJYYE6dcdBzfvP9TyHNMmHYiqdmJ+/vxRQcgqek2JHdjIdNPe5KAf9e0jmUFTh6/4nVOnDiUJ+bdxPVjHqGqvLpu+4OP6s7EG08hIVmmyhCiuegNWl577HOWffl7Xdmij5ez9IuVPD7vZmyxssajEEIIsb/ythTx4NT/smn1nmUFvnh9EUs++ZVHPruRa0c9RHrXZK546NxGZ/8QQkRHbHIMQX+Qm05+rK6srNDJvee/wOTbxtPtEJlyW4hoydtWyE0nP4bPu2tq5LICJ89c+zbHnjaQu96Zxh3nPseQsQMYcfZgzGbpTCuEEJFii6vfOSvGbiHGvv/vF52lVXzx+iJmPfFFXVlZoZPfFq7j9reuYPDY/mg0GvK3l3DD2EfqpswvK3Dy7HXvMPTkw7j4vjNJ65yEIzGGaY+cx39ve78uJ6EoCuMvO57u/bL3O0bRMUjysY3I31rEizfPrGvk//TV/35k/OUjeOrLm9m5pYiyggq69MnEkWQjrVNSFKIVov0pzC3D4/FRVVJVL/G4m7fWx6t3fsj/vXghKVnyMlQIIYTYHxtWbauXeNzNWeris1cW8uL3d6AoGtI6yz2uENGwc1sxLmcNwaCKPdZCYrodo3HP1IzFOeX8d/p7Ifed+ehnHDPucOKSpHOsEJFWsKOYl259vy7x+E+L5/zKhKtG8eKi27HYLKR2klEsQgjR2uVtK6aqsoZgYNc9WVyKvW66bGepi/ef/rLBPqqqMuOWWXTtm4lGp+Hl298PuVb3j5//xpnXjCatcxLrl2/hyFF96X9sTzat3oHP46fnYZ0xmg3Me3Mxk28dj06vbfHPK9omST62EbXVHrat2xm2fvWSvxh/+Qgyu6dGMCohOobcrcU8c+uHdOqRikWrht1u9ZK/8NZ4IxiZEEII0X7UVNWw6KPlYeuXfrGS064cSWZ3STwKEWnlJS62/pnHU9M/oCTfCYAj3soVd46nz+GdSErbNUWjq7yaiuLKkMfw+wLkbysmS5YEESKiCnJKcVfW8uevW8Jus2LhWs674eQIRiWEEGJ/OMtcbP0rn6du/oCivAoA7HEWLr/jVA4e2Jnk9HhyNuQTDARD7l+SV05VhRuTxcDaZZvCnmf5V6vp3j+br2f+yCOXvALAnLznUBSFRx55hJ+eziElO5Hxl59AfEpsc39M0U5ooh2AaBqNtvG/KqNMiSFEi3C7PMx//2fW/LIVn9eHwagPu61Wp0VRlAhGJ4QQQrQfilaL3hS+b6TeqAO5zAoRFc7SKu665HX83gBnXXE85101ArPVyCPXzaxLRgJotI33fNcbpf+zEJHkqnQz/4PlBIMqGk34i6jBFP45VwghROtRUerizoteq0s8AlSWu3n0+lkU5+26J9MbGr/f0mg1KBql0euC0WxAVdV670FPS7+a8WlX8dPTObvOY9TJe1DRqA5z579z505uvvlmvvzyS2pqajjooIN47bXXOPzww6MdWqNK8suprnDjrfVxyJCD+GPphgbbaDQKfY7sFoXo2qeg6sXvz8NV+zUe359YDEdgMQ1Bp82UX6gdhMtVS3leOb98tZota3LoekgWL35yDXPeXsIRow7l3Uc+DbnfkLEDMMeYIhytEOH5/Dup8a7AXbsYva4TNvNJ6LTpaDTmaIcmRKvi9e8AtNR6VwJjoh1Oh1B3rf3mD7as3kHXvlkMPnkAo88/mh/m/BpynxHnDMGRaItwpKKjUFUVfyAXd+2P1Hh/xaDvRYxpBHpdBorSsV/Ku10e5r23jDtfmIzJqOX72csJ+IJcdcc4DBYjc978geSMOBJSHMTEWkjrkkz+1qIGx7HYTCRlxEfhEwjRMRTnl+Iqq+GHub9QvLOc/sf2otegbqxbsZXOPVIYeEJfln/9R8h9B57QN8LRCiE6En+gDL8/h0r3HIKqB7tlPAZ9V3RamdFkX9TW+pj/wXJ83obLsgG89+K3XPPgGaR3TcZoNuAJMTtbds80bHFWtDoNR4zux7J5q0Ie64gTD0Wv13PKJcezbH7D5acAxk4dRmySHYDyEidVJdUs/eI3cjcV0vuIbvQ7uheZPWSWxo6sQyQfy8vLGTp0KMOHD+fLL78kOTmZzZs3ExsbG+3QGlVW7OSvX7bwwJQZpHdN5pbXLmP6aU9SVV5db7uL7zsTV5UnSlG2L6oaoNazgtzi81DZ9Z1WVs9Co4kjO2k2RkPPKEcoImH7mhxuO/1Jaqv/blezwBxj4v6Pr6Oiws1Z147hg3/NnR6f6mDSraeSkBYb+YCFCMHr20ZO8QT8gfy6shLno6QnvorVOAyNRhLlQuwWDFYCcfgDBdEOpcPYsS6X2057khpXbV3Z2w/O5fnFd3HM+IH8MLd+ArJT73SGTTgCZ2k1Noc10uGKDsDr+4sdRacRVPeM4itRHiQzaRZmw0AUpeOuZVNdVcNxY/sx77WFfDNzaV35l299z+En9GXqPWdQ8/d9c3rXZP7v+SncdsbT9V54aTQK1z07BZsjJuLxC9ERlBaU8cfiDTx++asEg7uWCvn6f0tIyoznvo+u46nbPuKaeyewYdX2BlMjT771VMwWeTYQQrQMf6CUksrHcbreqitzVr+F1Xg8KQlPotcmRzG6tqW60s3W9Xlh67dtLKDW7SMu2c61z17Ao5e+iqruWT7KZDVy3XNTSMlKAODCO0/nr1+3UF5U/7ow8aaTMdt2dVrv2jeToaccxo+f/VZvm+79sjnm1IEoioKzrJpNq3Zw77nP1a0t/M3MH3Ek2HjokxvoekhWs3x+0fZ0iOTjI488QlZWFm+88UZdWefOnaMXUBNVl7t55JKXCQaC5G4s4O0H5vDoZzfy8/zf+WPpBuJSHJw05Vhyt5fhqqzd+wHDyN9WvGseaAVSshPQ6TrEP4uQ/IECdpZeVJd43C0YLCe/bBqZSe+h08ri6+3Zzs2FPHzRS3sSj3+rcdXy6CUvc8ubV9DziO48+tmNfPn2YipLXQwc0ZdBIw+RNVdFqxEIVFJYflu9xOPfNeSXXEbntMUYNNlRiU0IIfK2FPLIRS/VSzzCrjXO7zjzae7/6DpGnjuEBe8swVPr5djxg+h6aDZvP/MVl0w/JUpRi/bMHyghr+yKeolHAFWtJa/kIjqlfIVelx6l6KLPYjfi+sNVL/G424pv1zB03GEMm3BkXVl2rwye++52vnnvJzb9vp2MrimMvuAYHEk2HEmRST46y6twlblRVTBaDXVrUgrRXrkrPTxx5et1icfdinPLeOPujzh18tG8/MjnPPzJ//HLN3+watF6YpPtjJ0yjPi0WFKyE6IUuRCivfP6NtRLPO5W7VmIu+Y7HDFnRyGq1s1ZU4vb60OjKCTGWNBqdi3HZrGayOiSxO/LNofcLy07AYNRR3VlDSu+XcPdM6/ip3mrKMotpUufTAYc15vPX11IetdkHAk2snum8/i8m1k2/3d+W7gWR6KNk6YOIyktru66EJfs4KrHz+fkC4/j89cX4a31Mer8ozlsRG+qStzs3FyIqqo8fOF/6xKPdZ+jtIonr3qd29++ktROMsq1I+oQWaZPP/2UUaNGceaZZ/L999+TkZHBlVdeySWXXBJ2H4/Hg8ezJ/lQWVkZdtuWsm1dLt5aX93PyxesZvmC1Yy+4FiOPW0ghw0/mGmnPoNOp+XRWVfs8/Hzc0rI/Suft+6fy+Y/ckhIj+W0K0YwdOxhpHbqmAk2XyCPYLAiZJ3Ht45AsEySj61Qc7bXqvJqinPLQtYV7iiFQJD7r36XhBQ71z18Jl17ZxAnU8CJViYQLMPtWRSyTsWLx7sGgy46ycfWcH0VQjRNS7XXqrLqXdfUEPK3FFFVXs138/9gwOh+6HRafvhqDU/dNZc7Z1xAapa8HBXNLxAsxev7K0xdGf5AfqtPPrbk9dXn9jHv9UVh6+e9voj+w/pg/buHvD3eij3eyvnTT8FdWYvZZsbYyLrpzS1vSxEfv/AVCz9chrfWz6ARfZl866kkZcZhi5WRlyL6WqK9rl++iYA/9DR8v3y1mkm3nYY1xkTethIC/iDHnj4Ib62PP1dsZfDY/gd8fiHaK3l+PTDBoIdy1+th68tdL2M1j0CnlXt8gBqfj42FpTz29Q+s2L4Th9nEBYMHcPqAg0m2xWC2Gjnp3KOY//7PDTqbAJx92fEkZ8Txx49/8c3MH/n+o585fERfUrIS2PT7NmY/vwBVVTnn/07GkbDrXWZGtxQmTDuRE84ejMGkxxJiOam4ZDtxyX3oO+Qg1KCKs7yKrX/k8ca9s9n8xw6ueWoS1c6akJ9p06rtVFeGrhPtX4dIPm7ZsoUZM2Zw/fXXc+utt7J8+XL+85//YDQamTx5csh9HnroIe65554IR1qfK0yjnf/WYua/tZinvrkNq83E7S9MJrPLvvUe8Pv9rP9pE49e/lpdWcnOcl65/UM2/5HD5OnjSe2APd9U1b2X+oZzZYvoa8726veFfmDbLeAPAtC9byYZnZMl8ShaJRUf0PBGdLdAMHoPTK3h+iqEaJqWaq9er6/R+uKdZYwYN4AHr52F21WL3qDlgutH06VXWrPHIgTs/R4/qLb+FyYteX31eX24q8J/B9VVtaiBhvfQBoMBQ6KhRWIKZ+eWIu446xnytuxZc3LZ/N9Z9cOfPP3VdEk+ilahJdprVUX4dxm7X1APG30I9096ocEL6+VfreY/T08ivbNMfSjEv8nz64HyEww6w9YGglWoauPv4TqS9fnFnP/6BwT/niq13F3D098u5eetuTw+YTQJMVYc8TFMf/Z8nrrlQ9x/zySjN+i44P9Gk9Fl14AZd9Wucp/XH3JNx3+PUASIbcL7Tb1hVyopb3Mx08c/QTCoEhNrqTtfOD5Pw/OJjkET7QAiIRgMcthhh/Hggw8yYMAALrvsMi655BJmzJgRdp/p06fjdDrr/uTk5EQw4l0OGtA5bF1iRhwxsVbuf+NiuvXJ2OdjF2wv5dW7PwpZt/D9ZdQ08nDZnum1nQjXLDSKA61GputpjZqzvToSYtAbQ/fLMJj0OJJsvPjF9Vxxx6mkZsXv93mEaEkajR29Nvyc+mZD/8gF8y+t4foqhGialmqvsYl2DKbQo6D0Rh16g47PX/2OJ967ggffuoQXPr+eEWcMklGPosVoNXFolHAvXDTotZkRjWd/tOT1NS7FwRGj+4WtH3hCX+wJrSOpt+anDfUSj7vVVnv44KkvKSsK/wJUiEhpifbad3CPsHUZ3VKwxBiZ9dhnIUfKrFr8J+WFMppLiFDk+fXAaDRWbJbwyybEmE5Eq3FEMKLWq6zazf3zvqtLPP7TT1t2sLOiCoDEVAf9jurKM7Ov5pH/Xc6Db1/KC59fx/BTDqt7XsrskYKiKCHP40iwYYuz7nec+duKeeX2D+quJ64KN4npcWHPZ4+PISbWst/nE21bh0g+pqWl0adPn3plvXv3ZseOHWH3MRqN2O32en8izWo3M+z0QSHrLr7vLLJ6pJLRef/mS3ZX1lBWEP7Ba9Mf4b+b9kyrTSQu5uKQdUmxd6LTypp+rVFztlef189pV54Ysu60aSfi8/rp0jONlExJPIrWS69NITnugZB1MeZx6LQpEY5oj9ZwfRVCNE1LtdeYOAvn3hj6JcRpV57Iwg9/5rfv1qHTaxkw9CCyuiaTmCy/K0TL0WlTSYq9I2RdnO0ytG1g2YWWvL7qdDoGj+lPYkbDjpgxsRZOueR4bHHRnw3EVVnDT1+sClu/4ru1uGXaL9EKtER7dSTEcMSJhzQoVxSFSx44G1TYum5n2P1Xfr/+gGMQoj2S59cDZzUdj07bcOCMRrERZ7sYjcYYhahan2qPl3X5DTtQ7fbTlu11/2+LjSGzazKHHtmNAUN6kNU1mfjkPfdisUl2Tr54eMjjXPrQ2cSnxu53nN5aL5tW188b/PrNGkZOHBpy+6l3n0F8ugzm6ag6xLSrQ4cO5a+/6q/hsWHDBjp16hSxGCqKKjFYDCHnTQ4ntXMSU+8+kx4DujB3xteU5lfQvX8nLrjjNLK6H9i0U+FGdu1mtZsP6PhtlVYTQ7z9Kgz6XpRVPo0vkINR34tEx62YDQNRFG20QxTN7N9t0+vxY7IaufKxiXz60rfs3FxIRrcUTr18BM4yl0wVINoMi/EospLmUOy8h1rv7+i0KcTFXIHdeipardz4CSEiy1lWhUajwRZrJS7JwciJQ0lIi+WDp+axc9Oua+24y07A5XSzeO6vxEmyUUSQouiwmU9Gp02h2PkQXt9f6LVZJDiux2o6Aa2mdYzqi6aM7qk8/MmNfPnmIqqralBQMJj0jJk6jLSu+9chtrnpjTosjvDPsRabGcL0yheirUvtnMyVj5/PoK/+YOemAqqranFVVHPq5SPI6JJIbW0ArU4bdl1Im4xKEUK0EL0ug6zk2ZRVvkil+wNU1Y/NfBIJjhvQ67KjHV6rodVo0Gs1+ALBkPV2c9NzCla7hYk3j6PrIVm89/jnFOWU0fngTC6690x6Hd4VrbbheDSP24PWoEOnC//u21VRjSXGTPZBaezYkF9X/tlri7jykXPI6J7KvNe/qzvf5FvH06VvJhaLJJg7qg6RfLzuuusYMmQIDz74IGeddRbLly/n5Zdf5uWXX27xc+duzOfnL37j12/+IDbRxthLRpCYEU9qE0cspnZKZPyVIxg8dgAAGq2GtP0c7fhP5hgTfY7sxrqfNzeoM1oMZPXouGvq6LSJxMacQ4z5eFTVj6IY0LWB3s5i3+RuzOfneStZ8fVqHIk2Trr4BJIy47HFWvjy7SVY7CZOuvA4EtPjKMkr5/M3vqe22sNxZxwZ7dCFaBKNJgaL6Ugy9e8SVGsBLTptctipMIQQoiXkbS5g3U8bWfThT+iNesZcOJzMg9JI75pCjwGdOWnqnmvtF28tZvv6PABGnX808amSgBSRo9XGEmMeickwAFX1oqBDp5P1z/5Jo1U4ZOhBzH9jEQFfgBHnH4PBoEevDz2NcqQZjXrGTDqGhe8vC1k/evIxpHaS6ZtF+xUMBIlLiuGXL3ddS0dPOY6UrHiSspIoya9g6CkDWDzn1wb7aTQK/Yf1jnS4QogOxKDLIjn2bhLs/wFUtBoHGs3+T/3ZHsVZzYzt25O5vzccia4oMKTrviVqY5PsjLlgGEeO6kcgEERv1BGb2PD5qnBHCcu/XMnSz1YQnxLLuCtGkt4ttd7UrPlbCtn+507mv7EIv9fPhCtOQGcy8MJNs3BX1aCqKi/cNIueh3Xmgdn/h6JR0GgU0rrIvXRH1yGSj4MGDWLOnDlMnz6de++9ly5duvD0008zceLEFj3v9vU7uXn0A5QX7pnedOF7Szn/ttMZOenYJicgdTodGd2ad4q81OxErn7ifG49/SnKi/bM7a/VabnllUuIOYC5n9sLnVZ+QbZXO/7cyc2jH6SsoKKubOF7Szn3llM56aLh3PzKxdx+5jO8fMeHdfXmGCMPfHQdmc3cFoVoaVptPDJmWwgRDXlbCrnnrKfZtnbP2jhLP/2Vo8cP4uIHz8VkNVJZXl3vegvQo38nRp1/NBZrx5yJQ0SXdDoMLX9LIS9c9xa/Lvi9rmz5/FX0OKwLt757NeldW8c9ckJ6HKdeejyfvLywXvnBR3Xn2PED0ek6xCsQ0QHlbSnkiUtfYs2SPbN+/TxvJYce04vrXrqU9K4pTJ4+no0rt5O/rbhuG0VR+M9TkzDFyKgUIUTL0miMaDQdd7DL3pj1eq4+fggrc/LZXlZRr+6BU08kybZ/7+obm2I1b3MB/3fCffXej37zvx+Yeu/ZnHLZCKwOC3lbCnnpxndY9sXKum1+WfA73fp14vpnJ3P/1Jfqyk+ceDQGs47kTLmfFrt0mDvvk08+mZNPPjli5yvZWcrrd7xXL/G427sPzGbo+NBrOUZSlz6ZPPbFTaz9aSN//LSRtM5JHH3KYcTEWYlLjP6aHUK0hNL8Mt6464N6F9bdZj38CcecfiSd+2bx3MLb+eWbP9iyJpduh2QxcERf4g5gTnQhhBCiI/F6vXz7vx/qJR53WzL3F0ZPPY5Bo/ozavIxDBk7gO8+Xk61083Qkw8j66DUZpnpQwjRfDat2l4v8bjbxt+28tNnK5hwzUlRiKqh9M5JnHrFCIafeRTffbiMWreXY049nPSuyfJ7RbRrq79fXy/xWFf+w5+s+fEv0rumkNk9hfs/upaNq7axYuFaElJjOfa0QVgcZlIyZFSwEEJEW0asnbemnMG6/CK+27CFFHsMJx3ckxR7DBaDoVnP5a6q4dVb3wv5fvSNO99n6KkDsTosbF+XWy/xuNvm37eTtymfKbePp6baw7DTj8DqMEniUdTTYZKPkVbj8rB8XsOGudvy+Svpekj057XO7JZCZrcURp1/dLRDESIi3FW1LPv8t7D1P89byXm3jCemRypZPVIjGJkQQgjRfhTtKOPr/y0JWz//jUX0HdKTtOxE0rITOWhA58gFJ4TYJ+WFTua/8V3Y+q/eXszgkw8nvZXMEJLeKYn0Tkn0OrxLtEMRIiIKthUz/83wbXT+G9/Rf1gfkrMTyeiaTEbXZI47/YgIRiiEEKKpUh02Uh02ju/VrUXPU1Xm4qfPGk7FvduvX/2OPcnGl683cg/41vfc/+lNpHaW2QNFaJJ8bCGqqhIMqmHrfbX+CEYjhNhNDe5aCyMcb403gtEIIYQQ7ZSq4veGv9/1ef0E/IEIBiSE2F+BQACfr5H27PERDIa/vxZCtDA1iM/TWBv1SxsVQghRTzC4J3fx1G+30a1bN3w+HxMSLwPAU+Ml6Avia+SZzuv14/fJM50ITxPtANqj3I15+Dx++gw5KOw2g0b1i2BEQojdjGY9fY/uFbb+iDEDIhiNEEII0f7kbSnE7/MzZNzhYbc57qzBxMTFRDAqIUQ4OzcV8Pv3a/ni5a/57dvV7NyYX68+MT2eYWccFXb/oacOJD7V0dJhCiH+pazQSc5feRTnlnLMhCPDbnfshCNJzIyPYGRCCCFauxiHhRfW3MOb659E5zbyzVuL+f3bdby2+jFm7niBgSf2Iy7FwXFnDg57jKHjBhKbIveAIjwZ+djMNq3cyu2nPIwaDHLdy5dz/4rn8Hl89bY5evwgHEn2KEUoRMeW0imJyx+dyPXH34u3tn7bHDp+UKMLMQshhBCicTs35nPf2U+ybU0O938+ncUfL8dZXFlvm279OtFzUMtOIySEaJqcv/K4+7RH2fHnzrqylE5J3PfZLXTpu2eZkP7DDya7V0a97QAS0uMYNeU4LDZLxGIWQkBJfjl/LtvAw+c/i6fGy72f3kJK5yQKtxXX2y6tazJDxg1Ep5PXf0IIIfawxcfgctp4dtqr/Dp/VV25xWbmrtk30KVvFgB9h/ak88FZbFubU2//+NRYxl58AjF2uQcU4cndRzPK3ZjPneMfpTSvDID3H53L3R9ex/w3F7H2pw04EmyceuUo+g8/mLQuMheyENHgcrpZ//NG7vrgOha89T1rlv6FPd7GyPOPwRZrwVsr064KIYQQ+6Mop5QXr3uDzau2AfD8Va9y8+uXs+STX/ll/ir0Rj0jJx/L8DMHk9a1dawNJ0RHlr+1kCcuerFBQrFwezH3nfkE9302nYzuu9ZAz+iWyj0f/x/fzlzCNzN/IOAPcsxpRzD2khPI7JEWjfCF6NCqy1zcf/ZTdVOYP3PZS1z/6hX8tnANSz/9FRSF4WcN5sTJw+rasRBCCLGbq8LFpy8sqJd4BHBX1XDnuEd4ccWjxKXEERNr4a4PruW793/im3d/wOfzM3TcQE65fCTxabFRiV20HZJ8bEblBRUU55TU/bxmyZ/cc/pjDDt7CGddN5aBo/uTdVB6FCMUQlQUVvDa9JkEfH6O+7tt1rhq+erNhWz9YwfXvHgJ2b0yoh2mEEII0ea4ndX88uWqup93birgtrEPMfiUwzn96tH0H96XjJ6pGI3G6AUphKjjrqxh7dK/Qtbl/JWHq9xVryy9Wwpn3HAKw88ZAkBsikN6uwsRJT/M/rne2sml+eXcfvJDHH5iP866biz9TziExPQ4TFZTFKMUQgjRWpUXVTLvlW9C1nlqvKxd8ifp3VN57fb3WfDmIuaWvcqwM49CVVUciTHceNIjmAw67p97I7Z4WU5DhCbJx2ZUXljRoKzW7WHBG98B8OxPD0Y4IiHEvwX8AdyVbgAWvLkIWFSvvmB7cYN9hBBCCLF3tW4vqqrWKwv4AyyZs5wlc5Zz68xr6HpopyhFJ4T4txpXbaP1rvLqBmVms0FGOgrRCuRvLWxQpqoqvy5YxYqvfuf1P5+RxKMQQoiwAr4A7qqasPW7rjMqhX+/Jx0ff3GDbZKyEvD+a7k5If5JE+0A2pP0buGnsjCaDVgd0itUiGjTGfSNttXeR/WIYDRCCCFE+2GxmzFZwo9qzOghM4AI0ZrY4mPQ6cP3R45Pj4tgNEKIfXHosX3C1nUf0AWNVl73CSGECE+n15LayLJwvQcfhEajod+w3mG36TWoOxabuSXCE+2E3I00I2ushcNGHBqy7tSrRhObaItwREKIf8vonsoF954dsi6tawqdD86KcERCCCFE++BItHPaNSeFrOs/vK9MxyNEK2OLtTL6ouND1h192hHyMkmIVuzgob1ISAvdQeDCB88lXdZWFkII0YjMg9LDvh/N6J5Kdq9MNBoNw88eGvKeUKPVMHH6eMwxMspehCfJx2aU1iWFa/97KSdeMKyuB6nFZua82yZwyuWjsCfaoxyhEAKgz1EHcf0rlxOXEguAoigMGt2fB76YTkZ3mUZKCCGE2B+ORBtjLjqBSXedieXvdeB0eh0nnH8s179yOWmN9KwVQkRefFocZ904jjNvGFc3PaPeqGfsZSO59PHJpHRKinKEQohwMnuk8fBXd9DvuIPrypIyE7ht1rVkHpQRxciEEEK0FQcP6cl1L19GbLID2PV+9IiTDuP+z6eT0X3XrHEpnRJ5YuGdHHR417r9Mrqn8siXt5LRI/zMckKArPnY7NK6pnDxwxM568bxeGo8mKwm4lMdxMRKT28hWovULskcf/7RHHJMb9xVNRhMBix2M8lZidEOTQghhGjT0rqmcPp1JzP87KHUVNditBixxVqJDzM6QwgRXWldUjj75vGMvvB4aqtrMVlN2BNsxCZJx1khWrvOB2dx4+tX4nbV4vP4sNotZMiarEIIIZoorUsK8ZNiOfTYPn+/H9VjsVtJzkqo20aj0dD1kGzu/+QmqspcBAJB7PHWugEdQjRGko8tIC4ljrgUecEiRGtmNBrJPEjWnhJCCCGaW4zdQoxd1joXoq1wJNhwJMgSIUK0RSmdZVYBIYQQ+6+p70cdiTYcsqSc2EeSfIyy/C2F+H0BjBY9yVkyrY0Q0VSUW4qn2oNWr5U1MoQQQoj9UFVWTUWJE0VRSEyPq5vKUQjRuhXuKMZX60er18oUyUK0EUU7SvDW+tDqNKTJ86sQQohWqKbGS2luKaqqYpcObx2OJB+jpGBrEeuXb+LDJz6lOKeUbv07M+mOM0jKTiA5U6Z+FCKSSnLLKMwp4d37PmLzqm0kZMRz5v+dQp+jepAqPUmFEEKIJsndmM8nz89nydzlaLQajj/3aMZcOJz0brIWiBCtVeGOYvI2FfLufR+x48+dpHVL4dybx9PlkGy5DxailSrOLaVwWzHv3P8RW37fTnJ2ImfdMI5eR3SXtVqFEEK0GnmbC/jq7e/55t0f8PsCDBk3kNP/M0ZmoutAJPkYBYXbS5j7wgJmP/NFXdlv3/zBym/XcOeH10vyUYgI27hyC3dPeAJVVQGoKK7k4UnPcdrVY5hw7UkkZ8sDnBBCCNGY3I353HDCvZTll9eVvf/oJ/w4dzn3fXIzGd0lASlEa+Nyulj57RqevPSlujJnSRV3nf44Fz5wLiMnHUuCrNcqRKvi9/tZ//NGHjj3mbrnV2dJFQ+c9wxn3XAKp145iqQseackhBAiunZuyueu0x9nx/qddWWfv/Q1S+Ys58nv7ibzIFmjuCPQRDuAjqi2upY5z85rUK6qKi9e9yY7N+VHISohOqbcjfm8cO2bdQ9u/zT3+fnUuDxRiEoIIYRoO9xVbua/vrBe4nG33A35/PbN6ihEJYTYm/LCSl6+6d2Qde/c+xHuypoIRySE2JuCrcXMuP6tkM+vHz35OTWu2ihEJYQQQtS3evH6eonH3SqKnHw6YwHVFdVRiEpEmiQfo2Drmh0hbxQBinNKqXbKQ54QkeKurKFoR0nIOlVV2bRqW2QDEkIIIdqYsgInSz/9NWz99x8uo3hnWQQjEkI0RVWpC1eYFz8+j48SabdCtDrVTjeleQ07+wAEgyrb1+VGOCIhhBCivvJCJ4s/Wha2/qfPVlBe5IxgRCJaJPkYBXqTvtF6jVb+WoSIFK2u8fZmNBsiFIkQQgjRNmk0Cnpj+Ptbg0mPVqtEMCIhRFPs7T5YZ9BGKBIhRFNp9/K+SG+S51chhBDRpdFr9vp8qCjyfNgRSJYrCrJ7ZmAIk4Ds1r8zVoc5whEJ0XFZ7Ba6D+gcsk5v1NOpT2ZkAxJCCCHamPRuqYyeOjxs/UmXnEB8qqwbJ0RrExNnJaVT6LXNbfExxCU7IhyREGJvrA4LnQ8O/YxqshjJ6CFrLAshhIguR7yNMRcdH7Z+1JTjSOkS+h5UtC+SfIwCm8PCtf+9pEGG32Izc+2Ll5DWJSVKkQnR8aR1SebaGZdisddP+iuKwrUzLsYaa41SZEIIIUTbceTYw+h1ZPeG5ScNoOshnaIQkRBibzK6p3HDa1c06Bir1Wm54bUriEuR5KMQrU1a1xSue+kyzDGmeuUajcK1L11KjCMmSpEJIYQQe3TqncmQUwc1KO9xWBeOOf1IdDpdFKISkSZ/y1EQmxrLocP68MLyh/jytYUUbCui95E9GHbmYBKzpVe4EJGW1SeN55Y+wOKPl7Hupw2kdEpizEXHE5tkJ15eugghhBB7ld41hVveuopNq7bx7f9+QKvTMnrqcDIPSiO9m3SsE6K16nJoJi8sf4hv/7eEzb9vI6tXBqMmD8OR7MDqkE54QrRGmX0yeW7ZA3z/wU/8uXwT6d1SGDVlOI4kG3Ep9miHJ4QQQpDeLYVLH5nI2EtOYP4b3+Hz+Dn+3KEcdHhX0rrK82FHIcnHKEnOTCQ5M5HLn5xEbZUHW7z0ThMiWsxmM1k9zUy89XSqylyYbEb0+sbXZhVCCCFEfendUknvlsrhI/uh0SqYraa97ySEiCp7nB17nJ0L7jkTt7MGi8OMVitrPQrRmtlsZmw9M5h0xxny/CqEEKLV2v18ePDRvVADKla7LDXX0UjyMcr0ej36eLlJFKK1kI4AQgghxIGRh0oh2h6tViv3wUK0QdJuhRBCtHYW6ZTaYcmaj0IIIYQQQgghhBBCCCGEEEKIZiHJRyGEEEIIIYQQQgghhBBCCCFEs5DkoxBCCCGEEEIIIYQQQgghhBCiWciaj02kqioAlZWVUY5EiPbPZrOhKMp+7y/tVYjIaS3tdfX36yjaXgJA7oYCqspcdXWBYDExcV7Se1gByNtcQ1W5v97+hTu8BEpr+PSFd/nqtXeprQ40OIfbFcDvCaIzarDEaEPGUVurEtzh5aHz78Nkqv+9VNeq+PygM2kwx+5a7zmo06LkKsx46Dmstvp9wioqAtTW7vnZbABfuQ/VFeDn376jjJ+b9N3s9Hio8jf8PKHYdFoyjMaw9b87vZgLtXxZOp8/rQsaPZZVqyPV0HDtv0JfCdtr0/jCsICfdD+E3Nevugiq3r3Gq1UMGBRLw3O4dVhzHXz37YdU+hx8tOVFHNqGfe5qghW4gj1we0qwbo/jm4UrWGPZsNfz/puqVgGef5UaURQbWsWMUZPQYB9FE4de061Jx1fUAgy+nnj1m1AVV726lCQb/Q/ObNJxWkt7FULsnbRXIdoOaa9CtB3SXoVoOw60vYroU9TdvzVFo3Jzc8nKyop2GEJ0CE6nE7vdvt/7S3sVInJaQ3u1YGOIMuqAjtHWeIf0IZgYE+0wRCux4tvHqHEV73W71tBehRBNI+1ViLZD2qsQbYe0VyHajgNtryL6JPnYRMFgkLy8vP3OuFdWVpKVlUVOTk6HbjTyPewh38Uuob6HA+3Z0lh7le9938l3tn86yvfWku01EtrD35N8htahLXyGlm6vbeE7aCvku2webfl7bK72qqoq2dnZbfI7CKct/72G0t4+D7S/z7S3zyPttXVob//uIqkjfXdt/fkV2vbfl8QeeW01bpCRj+2BTLvaRBqNhszMpk1p1Ri73d7mGnpLkO9hD/kudmnO76Ep7VW+930n39n+ke+tcc11fT1Q7eHvST5D69AePkM4TW2v7fk7iDT5LptHR/wed7fX3dPCtcfvoL19pvb2eaD9faaW+jwdob1Gknx/+0++u71rLc+v0Lb/viT2yGurcYu2reHiN0IIIYQQQgghhBBCCCGEEEIIsR8k+SiEEEIIIYQQQgghhBBCCCGEaBaSfIwQo9HIXXfdhdFojHYoUSXfwx7yXewS6e9Bvvd9J9/Z/pHvrW1oD39P8hlah/bwGQ6UfAfNR77L5iHfY/v8DtrbZ2pvnwfa32eK1Odpb99bpMn3t//ku2tb2vLfl8QeeW01btE+KKqqqtEOQgghhBBCCCGEEEIIIYQQQgjR9snIRyGEEEIIIYQQQgghhBBCCCFEs5DkoxBCCCGEEEIIIYQQQgghhBCiWUjyUQghhBBCCCGEEEIIIYQQQgjRLCT5KIQQQgghhBBCCCGEEEIIIYRoFpJ8FEIIIYQQQgghhBBCCCGEEEI0C0k+NpGqqlRWVqKqarRDEULshbRXIdoOaa9CtB3SXoVoO6S9CtF2SHsVou2Q9iqEEE0nyccmqqqqwuFwUFVVFe1QhBB7Ie1ViLZD2qsQbYe0VyHaDmmvQrQd0l6FaDukvQohRNO1ueTjQw89xKBBg7DZbCQnJzN+/Hj++uuvRveZPXs2I0eOJCkpCbvdzuDBg1mwYEGEIhZCCCGEEEIIIYQQQgghhBCiY2hzycfvv/+eadOmsWzZMr7++mv8fj8nnngi1dXVYfdZvHgxI0eOZN68eaxYsYLhw4dzyimnsHLlyghGLoQQQgghhBBCCCGEEEIIIUT7pot2APtq/vz59X5+4403SE5OZsWKFRx77LEh93n66afr/fzggw/yySef8NlnnzFgwICWClUIIYQQQgghhBBCCCGEEEKIDqXNJR//zel0AhAfH9/kfYLBIFVVVY3u4/F48Hg8dT9XVlbuf5BCiBYl7VWItkPaqxBth7RXIdoOaa9CtB3SXoVoO6S9CiHE/mtz067+k6qqXH/99Rx99NH07du3yfs98cQTVFdXc9ZZZ4Xd5qGHHsLhcNT9ycrKao6QhWi3Ar5qVN82gr6ciJ+7PbRXj8dHWUU11W7P3jcWogUF/TtR/dsIBita5Pjtob0KEUlBf+mu66u/IOLnlvYqRNsh7VWIfRPwVf79/Job8XNLexVi3wV9uai+bQR8kU3+7W97Dfp3oPq3Ewx4WzhC0R44K2sod7oJBtVohyJEs1JUVW2z/6qnTZvGF198wZIlS8jMzGzSPrNmzeLiiy/mk08+YcSIEWG3C9WzJSsrC6fTid1uP+DYhWhPVP821JqPwfMtYEKxnA36wSj67Iicvy23V6/Pz878CmbOWc66DfmkJtuZdMZRdO2UiD3GHO3wRAei+nPAvx61+k0IloFhIIrlAlQlGY3O0WznacvtVYhICniL0SjFqNWvgW8tqjYVjeViVG1nNPqm3fceKGmvQrQd0l6FaJqAz4eGHFT3TPD+CBobiuV80A1A0UcmCSjtVYimU3054F+J6n4XglVgGIpiOY8gWWj1+hY//762V9W/AzyLUGtmA34wjkYxn4Ki69TisYq2p7i0ip9/28qcL1fiDwQZeWwfRhzbm9QkuRaI9qHNJh+vvvpq5s6dy+LFi+nSpUuT9nn//feZOnUqH374IWPHjt2n81VWVuJwOORmUIh/Uf1bUcsmQbCofrn+CDT2ByOWgPynttReV67J4bq7PiAQCNYrnzblOE4d3Q+zyRClyERHEvTnQPXLUPN+/QrFjBL3Dorh0BY7d1tqr0JEkupZilp+MeCvXxFzDRgmoDGkRjwmaa9CtB3SXoUITfVtRC07F9T6o6dU44loYm6S51chWhHVt4Og61EUz1f1KxQ7SvxMFP1BEY+psfaq+rejVlwP/j/q76TNRIl7QxKQop6S0ipuf+QT1m7Ir1eemmznuQfOlQSkaBfa3LSrqqpy1VVXMXv2bBYuXNjkxOOsWbOYMmUKM2fO3OfEoxAitICv/O9RUkUN6hTfcghsjHxQbUhpmYuHn5/fIPEI8N93FlNW4Y5CVKIjUtSqholHALUGteohgv7IT0clREem+rajVt5Jg8QjgOt5FKU64jEJIYQQbV3QV0jQ9XSDxCOwK7mhNnyuFUJEkVrYMPEIoFYSdD1L0NfK2qxvZcPEI0AgF7VmNsGAK/IxiVZr7V/5DRKPAAVFlXy5cE3Id4VCtDVtLvk4bdo03n33XWbOnInNZqOgoICCggJqamrqtpk+fTqTJ0+u+3nWrFlMnjyZJ554gqOOOqpuH6fTGY2PIES7oaECPAvC1gdrPiHor41cQG1MpauWvIKKkHWBQJDtOaWRDUh0WKpnSfhK3woUtSZ8vRCi+akuCOwIUxkA/18RDUcIIYRoDxRqUDwLw9arNfMjGI0QYm8aa5OK51sUWk+H7WCgGLXmk/Ab1M5DUUsiF5Bo1Wo9Pj79+vew9Qu+W4uzUt7DiLavzSUfZ8yYgdPp5LjjjiMtLa3uz/vv7xmxkZ+fz44de17YvPTSS/j9fqZNm1Zvn2uuuSYaH0GIdib8rxFF0TRa39EpSuP1Gs1eNhCimexqq41uEZE4hBBNJddWsW8qvBXMyf2ECm9FtEMRQogoa+Qautd7YiFERCnaRipbWXtV9/b+q5XFK6JKUZRG3/lpNIq8hhHtQpv7zaeqasg/U6ZMqdvmzTffZNGiRXU/L1q0KOQ+b775ZsTjF6I9CZIEpvDTGCum09HoZM3CcGwxZrIz4kPW6XVasjMTIhyR6LAMxzRSdxSqYolcLEII0NhA2y1MpR50kV/fRrRtFT4nc/M+pcInM78IITouFSuYTgxbr5jGRDAaIcTeNNomTaN2telWQqNLQDFPCL+B+VRU0iIXkGjVjAYd40cPCFs/dsQhxNrlPYxo+9pc8lEI0Xpo9TEolvNBm9mgTjUcB7rOEY+pLUmIs3Lrf8Zg0DfszXf9ZSNIiJUbDREZKlawXNywQrGh2Kaj0aVHPighOjBFl43iuA8wNqyz3UywFb1oEUIIIdoKjT4JxXoVaBIbVppOQ1Wk86cQrYomEUynhSxXrNPQ6JMiH1Nj9H1Bf0TDcm03FNPJaHQN7+1Fx9WrewqH98tuUJ6dEc/IY3vLbGiiXdBFOwAhRNum6DpB3BtQ+y2qZwEoZhTz2Si6g1F0DS+ior6e3VJ485kpzJ2/ijXr80hPdXD2qYPISo/DaNRHOzzRQWj0mQSVc1GMQ1Hd70CwFAxHophPR1WzZLYPIaIgoHZHmzAb1T0L/KtRNRlorBegKilo9SnRDk8IIYRokxR9N4ibiVr7OXgXoyo2NJbzQdsdRZ8V7fCEEP+g6LLAOg1Mowm630VRK8EwDMV0Moq+c7TDa0DRZYPjQfCtQq35EFQ/iulkMB4t78dEAwlxMdxxzVjW/JXHx1/8hj8Q5KTj+3LEgC4kJ9qiHZ4QzUKSj0KIA6boOhEwTUYxjgL0KPrkaIfUZuh0WrLS47li8jBqan0YDDqMBvnVLCJPo8sCXRaqthdQC0ositYqiUchokRnjAViCVquR6ECRbGi6OKkTQohhBAHSNF3JsAlaEynoWBAaW2jp4QQdRR9NuizUbR9AS9BEtHpW+8IQkWXDbpsVMORoAZQZBYh0YiE+BiGDT6IQf06EVRVYqymaIckRLOSN9xCiGah1emAjGiH0WbpdFpsMY0tpi5EZGh0Mt2UEK2JVh8DxEQ7DCGEEKJd2ZW8kOdXIdqK3VOstpX1wzRamalENJ3F0noT6kIciLbyO1sIIYQQQgghhBBCCCGEEEII0cpJ8lEIIYQQQgghhBBCCCGEEEII0Swk+SiEEEIIIYQQQgghhBBCCCGEaBaSfBRCCCGEEEIIIYQQQgghhBBCNAtJPgohhBBCCCGEEEIIIYQQQgghmoUu2gEI0Vr5/IWoai0ajRWdNjHa4USNL1BBMFiKgoJGyUCnM0Y7JCHEPvAFCggGXSiKAYMuO9rhtCqqGsAfKEVBRatNQFHktigS/IGKuuurVmOLdjjNLhBw4g+WoKCg1aSh1ZqjHZIQQjQbVQ0QCJaCqqLVxqMo+miHJFqZYNBNIFiJoujRaRMifn6vbzsqPjSKHb0uOeLnbw0CgTKCqhetxoZGY412OCJKAgEnQbUGjcaCVmOP+Pm9vm2oBNAqDnS6jvtOTewRCHgJBHNRUdFpktBqI//vUggRWfKWTYh/8fkL8PhWU1r5PD5/DkZ9LxIc12PQdUOnjY92eBHl8W2moup1XLVfoSgG7JazsFvGY9B3inZoQoi98PkK8QcLKKt8mlrf72g1ScTbLsdkPFySkIDPn0dl9Qc4q99HJYDdMoHYmInodZnRDq3d8gfK8XhXU1L5xN/X1z4kOm7EqO/Rbl6MeX1bqHC9Q1XNFyhosVsnYLecgUHfOdqhCSHEAfP586h0z8bp+h8qfuyW04iNmYRelxXt0EQroKo+vP5tlFY+R41nCVpNHHG2K7GajkWnTWrx83t9O3B7fqTC9TqBYCkmwxEk2K9Gr01D20Ge4/2BEtyenyirfJ5AsBiz4UgS7Neg13VBo5FOxB1FIFBBrW8tpc7H8fq3YdT3JNFxAwZ9z4h0/PP6dlBd+w0VrrcJqlVYjEcTb78SrZKBThfT4ucXrZPXt41K92wq3R+hqj5izCcRFzMZg75btEMTQrQgRVVVNdpBtAWVlZU4HA6cTid2u/TMaK/8gQoqXG9QWvnYv2oU0hL+S4xpDBpNx8jZe3ybySk6jUCwpF65Ud+X9ISXW/WLVGmvQkB17RJyi88D/PXKHdbJxNunYWglLwqj0V59/jxyis/G599cr1ynzSA7eY4kIFtAMOim3PUmJc77/1WjkJ74OjGmkShK214NwOvbQk7xWfgDefXKDbruZCS+hUHfJUqRNR+5vrZd26q3c9fae7nn4DvpbJVOZB1Bc7dXnz+f3OJz8Po31ivXaVPJTv5Urp2CWu8adhSegoqnXrnNPJ7kuPtadBSk17edYufDuGo+qVeuYCAr+SPMxoEtdu7m0BztNRCooNj5EM7qd/5Voyc7eTZm4+EHHqho9YLBWpzVsyiquK1BXVr8DGyWsS0624vXv53CsptxexbXK1cUC9nJn2AyHNxi544UuR/ed17fVnaWXoTX92e9cq0mhezkjzHou0YpMiFES2vbb3mEaGaBYAmllU+HqFEpKr8dfyA30iFFhS9QTkXVaw0SjwAe3xpqvCujEJUQoqm8vm0Uld/GvxOPAM7qtwkGXZEPqhWprv2uQeIRwB/YSaV7DqoaiEJU7Zs/WEyJ85EQNSqFZTfhDxRGPKbmFAhU46x+v0HiEcDr34Tb80MUohJCiObj9ixpkHgE8AcKds0ioDa85xAdhz9QQVH57Q0SjwBVNXPxBwpa9PyBYHmDxCOAipeiirvx+nNa9PytgT9YFCLxCOCjsPwW/IHSiMckIi8QLKbYeV/IusKKW1v8ntvn39kg8Qigqm5KnI/g9e9s0fOL1sntWdYg8QgQCBZSUf0ugYAzClEJISJBko9C/IPPvw3whawLBIsJBMsjGk+0BINluGoXhK2vcs/B7+8Y34UQrVkw6MHvz8Hj+QWv9zf8/p2oqp+gWh3yBeFuNZ7lEYyydQkEK6ms/jBsfWX1xx3md30k+fw7aPz6WhbZgJpZIFiIq+bLsPWV7rl4/Q0Tk0II0RYEgtVUVn8Qtr7SPafN/x4XByaoVlLjDX9/WV37XYuevzpEsmO3Wu9vqEF3i56/NWjs/t7jW0swKC/3OwJfoABVrQ1ZFwyW71qztwW53PPC1lXXLgS1YQcFsW8CgWJ8vvV4PMvw+TYRCFREO6RG+QLFVLkbdg7ZzeWe1+L/LoUQ0dMx5o8UookUDHup10YokuhSAAV9+HpFDx1k+lkhWqtgwIm7ZjaVzvuAXQ+YiuIgLv550KQ3uq9GMUUgwtZKu+t3WBiKYkT6ZjW/xq4pu7T166um8X9XGFt0iishhGhJChpo9NppQK6dHZuCwq5/A8HQ9UrLrjeoafQ5XoE2PrV7U+ztXYa00Y5h7++sWvaeW2lkbdG9Pw+IvfH7t1JWehF+/55RhEbjicTGPYxWmxrFyMJT1L09fxvY9RZSCNEeyd2HEP+g12WiKNYwdV3RaGMjG1CUaDXp2K1nhK13WM9DF4GFyoUQ4fl8a6h03sbuxCOAqjopK52CBitmw6Awe2oxGQ+LSIytkVZjJTbmwrD1sTFT0GnjIxhRx7C362tb/84N+s7YreeErXfEnIdemxzBiIQQovloNGbiGrt2Wiej1bTcen6i9dNo4okxjQpbbzUNb9HzW03DGj13uHuQ9sRsHES4V3xm49FoNXGRDUhEhU6bgkZxhKnLaPHf1TbzKeHrLOPQKLJG4v4KBAopLZ1cL/EI4PF8RaXzQYLB6ihF1jidLh6HdWLYeof1bDRKVgQjEkJEkiQfhfgHrTaV1Lgn+HfTUBQzqfFPYtBlRyewCAj48/H5tv0917oHu+UMDPpeDbaLMY1Br+sma6IJEUWBgJOqqicASEjcSlLyUpKSfyYxaRsQwO9PJDnugZAPnsmxd3eIFzCNMRsPx2I8rkG5yXB4i78c66i02mTS4p8j1PU1Lf45dG04Mef35+L378BmHo/J0K9BvcV4LEb9IaiqNwrRCSFE8zAZDsVqGtmg3KjvR4xlNIoioxY6Mq3GSlLs7Wg1iQ3qEh03t/x1XrGQYL8RrSaJuJipJNj+g9U0Eq0mkSTHHWho//e+Om0yybEN1/rTaOJIiXsArTZ0QioYdBMIlBEMynSY7YFOm0Jawgv8e4SjgpG0hBfQ61p2dJxGE0estWFnFZ02gwT7fwBP3TShfv9OfL5t+P3yb68pAoF8Av7NWGPWk5S8kqSkpSSnrAYWU1Mzh2CwONohhmXU98ZqGhGivC8x5rHodDJDjBDtlbRuIf5Bq7FgMQ2jU8oCKlzv4vNvxWg4FIf1TPTa9pl49Pt34PP9ibv6dQLBMozGo7FYzsPvSyYj4TXcnl9w1XyCohhxWM9Dr+uBy1lCXHwqitLWp8kToo1Sa7FY38URW0ht7avU1nyOohgwW84lKXkplU4ndkdXOqV8TqX7U2o8P6PTphEbMxmtJhGDrvFpWds7nTaZ1ISn8HjXUeF6CwjgiDkfk6E/em1KtMNrlzSKAYtpGJ1Tv6XC9S5e30bMxkHYLRPQ6zKjHd5+8fu34fEswe1+H9QgZvOppMe/SK13A073u4AWh/UcjPpeVFYEiE+o/XtaISGEaHt02mRS4x/H41tLedWbgB+H9TxMxsPQt9Kp3kRkGfRd6JQyD1fN17hqvkKnTSY2ZgoGXRe0mpYd7eSt/RyHZQJWQz/c1a8QCJYSYxhCSuztqGomUACETr61FxqNFbt1Ambj4ZS73sTvz8dqGo7NMhqdtuGoomCwCr9/M66qF/EHtmHQH4o15lJ0uk4tPk2uaDmKosNiHErn1IU4XTPx+NZjMvTHYT0LXQTuuWuqXyE25hJiLGNwut4hEHQSYx6B1TScgN+Gs+oJYuOuwOP5Dnf1O6iqG6PpRCzm8ej0XVs8vrYsECggKWkZQXUdlZUvEQjkodf3JTHpYuBXVLX1rpto0HciOfZevP7zcbpmoeLDZjkNs+EwDPrO0Q5PCNGCFFVV1WgH0RZUVlbicDhwOp3Y7TJNQEcQDPpQ1RoUxYpG0z6TbH7/dqqqXqDG/W69ckWxk5D4MbW1WZhMJhSlClXR4vcaqCjvToztemy261Fa6doZ0l5FexcMVhIIlFJWeh6BwPZ6dQbDkThin0Kny0JRtPj9flSlHA0WtNrW1+s72u11dy9vTSPrk4jmpaoBVNWLohhb7XVkb/z+bZSXXYHP93u9cp2uO3HxbwN2UBT8vjxcVTdht9+GwTio0fVO2oJot1ex/7ZVb+eutfdyz8F30tnaKdrhiAhoyfYq106xN8FgDYqij9h6x17vDtzVL+N2v16vXFFiSEj8GI2mCzpdTERi2R/N3V5V1Y+q+lAUU8hRycGgh5qa2Tgr/u9fNToSEmdhNA494BhE9EXjntvt/piK8quxxqzHatWgqjVAHOVlI/D7N/7dUfYOPJ5v6+2n0aSSmPghOn23iMR5IKJ1P+z17sTr/YJK593/qtETn/AuOt2R6HStv6Oj3+8EAuh0bXvZDSFE07TNNz5CRIBGo0ertbfbxCNAMOhskHgEUNVKqirvx2yuoqS4M8VFh1BS2IeK8u6ACYtlQpt9YSxEe6CqWmrc7zVIPAJ4vT/j962pG5ms0+nQa5NaZeKxNdBojPLyNMIURYtGY27T1xGv5+cGiUcAv38TtTWfEQwaKS48mPKykfh8KwkEi9p84lEIIXaTa6fYm13X+chNtKVQ1SDxCKCqLiqd9wDlEYulNVAU3d9/B6GnQw4Gi3BW3Bqixk9F+bUEAgUtG6CIiGjccxsMR6IosVS7elNU2JOKioupqXkGv38jdsdrBALbGiQeAYLBAlyulwkEOlZb3ReK4qbS+UCIGh/OiptB3RnxmPaHTueQxKMQHUjbfesjhDhgtbXfhK3zeBYDbhQltq5Mq80gIfF9tNq2OUWeEO1FMFhITc0nYevdNR/g95dFMCIhOo6AvwC3+8Ow9TU1c9BoiuqVud0zCQarWzo0IYQQokOq9SwKW+f1Lv179JXYLeDfAYReZy8Q2EkwKAkgsX+02gwSkz5Gp+sOgMk4jNqa+QAYjSOocX8Udt+a2s9R5d9eWH7/JsAXsi4Q2EZQrYpsQEII0QSy5qMQolFJyV8TDJahoEWjjUcra7oI0frJjOpCRJH6959/FkmbFEIIIYQQ7ZuiKOj1vUlI/JhgsBTQUFMzr2k7y/3yAZLvTwjR+sjIRyE6MJPphLB1RuMxKIoFnS4Dg+EQ9IY+kngUopXQaFIwm8eFrbdYzpKpTIRoIVpdKmbLGWHrzebTCAbrXy8t1kloNDL1sRBCCNESjMZhYesMhsEoiiWC0bR+Wl02EHrqZK02A40mLrIBiXZHq01Cr++FTtcDi+VcALzeRZgtE8LuYzafjEYrz7Dh6HQ9gNDLOGi1nVAUWY9dCNH6SPJRiA5Mo4nDbJnYoFxRbNjtd6DTZUQhKiHE3mi1ViyWc9FqsxvUGQxHoDccEoWohOg4jMaj0OsPbVCu03XHZD6F0pLudWV6/eEYjUdGMjwhhBCiQ9FoHFgsUxqUK4oVu+NudDpZNuSfNJpkHLH3h6jRERv3tHQ6Fs1GURTM5rHodN1xVlyAVtsFo/H4BttpNKnExFyGRhMb+SDbDCt2e6i1WvU4Yh9Fr+8S8YiEEGJv2ty0qw899BCzZ8/mzz//xGw2M2TIEB555BF69uzZ6H7ff/89119/PWvXriU9PZ2bbrqJyy+/PEJRC9E66XTZ2GxXYzKNoLr6dYLBMgyGIVitkwBJPArRmun0XUhInEWN+wtqaz8DxYjFci5G4xB0uk7RDk+Idk2n60xc/H/x1P6A2/0+EMBsHo/JNIpaTxC9vh+gxRozGaPxWLTalGiHLIQQQrRbOl0WMbbLMZmGU139GoFgKQbD4L+fayWR9m8ajRGzeRx6fW9cVS/i92/DYOiHNeZStFp5jhDNS6tLIyHhPWprv6Gi/HXi4u7H612B2/0OqlqD0TQSs3kCOkmeNUqvT0NRxqI3HILL9TIBfy56/SHExFyCRp41hBCtVJtLPn7//fdMmzaNQYMG4ff7ue222zjxxBNZt24dVmvo6ay2bt3KSSedxCWXXMK7777Ljz/+yJVXXklSUhITJoQf8i9ER6DTZaPTZaPXH4qqetBo4tFqZboGIdoCna4LZsvlmMwnoyg66dUtRATpdJ3RxXTGaBqGqqooSgY6nQ6rTsVsngkoaLWx0Q5TiFbD4y8iv+o90mznYNQlRzscIUQ7s+e59hCCaq081+6FRmPDYDiM2LhnUdUaFMWKRmOKdliindLq0rHGTMZkLgcULNYJGIxHoqp+NJoUtFpztENsE3S6zL//dCMYdKNR7Gh1CdEOSwghwmpzycf58+fX+/mNN94gOTmZFStWcOyxx4bc57///S/Z2dk8/fTTAPTu3Ztff/2Vxx9/XJKPQvxNp0uLdghCiP2g0+mAztEOQ4gOS6erP/2xoihotbJWkhD/5g0Us935PAmWEyT5KIRoMVpdKtpoB9GGaDQWQNbEFJHxz3tk6Ti7/7TaFLTyi04I0Qa0ueTjvzmdTgDi48MvSvzTTz9x4okn1isbNWoUr732Gj6fD72+4YK9Ho8Hj8dT93NlZWUzRSyEaG7SXoVoO6S9CtF2SHsVou2Q9ipE2yHtVYi2Q9qrEELsP020AzgQqqpy/fXXc/TRR9O3b9+w2xUUFJCSUn/+65SUFPx+PyUlJSH3eeihh3A4HHV/srKymjV2IUTzkfYqRNsh7VWItkPaqxBth7RXIdoOaa9CtB3SXoUQYv8pqqqq0Q5if02bNo0vvviCJUuWkJkZfrj+QQcdxNSpU5k+fXpd2Y8//sjRRx9Nfn4+qakNFyAP1bMlKysLp9OJ3S7rBojWz+fzESSHQCCfQLAUva4bGsWOQd/+bpSkvYr2wuv1oiq5BAIFBIIl6HXdULBhNGTvfec2QtqraE12tbmcv9tcKQZddxTF1i6vlftD2mv7sa16O3etvZd7Dr6TztZOUYmhyrOW3/JP47C0OdiMB0clhvZM2qtorzy+XFCr8Po3odE40GszCapJmAy2aIe236S9irbK4ylA0bjw+jcDYNB1Qw3GYDQ2fK/aXrTF9ur15aCqLrz+jWg1cei0GSikotfLFMv7w+mupazazbaSchxmE+mxdpLtMWg0SrRDE6LVa7PTrl599dV8+umnLF68uNHEI0BqaioFBQX1yoqKitDpdCQkhF6Y12g0YjQamy1eISLJ660hoK4lv/RCAsE9o3utplEkOu7BoG8/iQyQ9iraB6/XTUBdT37JhQSCxXXlVtNIEh33tZt2K+1VtBZ118qSf18rTyTRcW+7aXMHQtqrEG2HtFfRHnl9OyirfARXzZy6Mo0mjrT4V/B4e2E0hF9+pzWT9iraIq83F7d3PqXO+1HxAqBgIMFxO4oyGoOhfa7h2Nbaq9e3gxLnfVTXflFXptXEk5rwOqqvNwZ92+24EQ3FVdU88sX3zFv9V11ZnNXMfyePp09GMlpNm55UUogW1+ZaiKqqXHXVVcyePZuFCxfSpUuXve4zePBgvv7663plX331FQMHDgy53qMQbZ2q5JFXcn69l6kA1bULcFa/gc8nc9QL0erUtdviesXVtV9T4XoFn88ZpcCEaJ/CXyu/wul6DZ+vIjqBCSGEEAKvv4aqmtn1Eo8AwWA5eaWTUJSyKEUmRMfkD+ZQ4ryzLvEIoOKlxHkn/mBOFCMTu/kCTird/6uXeAQIBMvILzkfKIpOYG2UPxDgw+Wr6yUeAcqra5j62kcUOKuiFJkQbUdUko+5ubns3Llzv/adNm0a7777LjNnzsRms1FQUEBBQQE1NTV120yfPp3JkyfX/Xz55Zezfft2rr/+etavX8/rr7/Oa6+9xg033HDAn0WI1sjj+4OgGjrBWFn9P1S54RCi1fH41hFUQycYK92zCFIcsk4IsX+8vvVhr5VO90yChF4XXAghhBAtT1XzcbpeDVNXg9vzY4QjEqJj8gVc1PryqHC9EnabCtdLeH3yninagsESnK63QtepLmq8v0U4osiq8efj8m6j1t88z3HFVW7e+nFlyDq318fqnIKQdftKVVU8gTI8/hKCaqBZjilEaxGx5GMwGOTee+/F4XDQqVMnsrOziY2N5b777iMYDDb5ODNmzMDpdHLccceRlpZW9+f999+v2yY/P58dO3bU/dylSxfmzZvHokWL6N+/P/fddx/PPvssEyZMaNbPKERr4fNtDVsXVF2oqjdsvRAiOrz+bWHrVNW2ssULAAEAAElEQVQN0m6FaBZer5caXz4e36aw26hqNai+CEYlhBBCiPoCBILhRzf6fFsiGIsQHZPLu42NFTModC/AFwg/utEX2LnrmVVEl+oL27kSwOdvn783q325FLl/4PfiW/m18ArWlt5PhWctNQeYEPcHAlTVesLWbyupOKDjA9T6C9lR9T7L8y9iWcFUNle8TI0v74CPK0RrEbE1H2+77TZee+01Hn74YYYOHYqqqvz444/cfffd1NbW8sADDzTpOKqq7nWbN998s0HZsGHD+O239t3DQ4jdTIb+Yeu0mmRQzJELRgjRJCZDv7B1Wk0iimKKYDRCtF9ecvi14GoOjb847DZaTRIohghGJYQQQoh/UtCj13bCF9gest5kHBThiIToWFzerSzLn4I3WEq6dQzJut54fWtDbmvU90XROCIcofg3RTGg06bhD+SHrG/sXWFb5fYXklf9BRvLn/tHWQ6F7oUMTHkOsz55v49t0OlIdcRQ4HSFrD8kM2W/jw1Q6y/i18L/UOnd0642VrxATtXHHJX+NhZd+gEdX7QMRVGYM2cO48ePb9Zt26uIjXx86623ePXVV7niiis49NBD6devH1deeSWvvPJKyGShEGL/aXXZ6LWdQtY5bFeiEhvZgIQQe6XVZqLXhV7H2B5zOUFVHuaEOFAefwmbKl7G7d+BV1XCXivjbf9BQ2aEoxNCCCHEbqoSh8P2n5B1Wk0qen2vCEckRMfh9Vew1fkW3mApAAXub7FYJgD6EFvriY25BIMuLqIxioY0SjZxtutC1um0mRh0PSMcUcsLBqvZVD4jVA1rSu+n2rsjRF3TJNutXDNyaMi69FgbPVIS9vvYAOW1K+slHnerDRSQWzWHoOo/oOOLfTdlyhQURUFRFHQ6HdnZ2VxxxRWUl5fXbZOfn8+YMWNaPJYtW7Zw7rnnkp6ejslkIjMzk1NPPZUNGza0+LmbU8RGPpaVldGrV8Obw169elFWJguFC7G/nN5ivEE3NYFKDBozRq2VWu92YmMfoarqGWq9PwGgUWKwxVxKZUDFoJZiQm4MhYgGp7cQT7CG2kAVRq0Vo8ZCrCGVopqVxDoeoqrqWWq9S4Hd7fYSXEE9RsowcWA3t0J0JBXeQjzBajyBakxaGwaNGT0+Ct0LAVhT9jQDkxpeK+Ns/8FiGoleb4xm+EIIIUSH5guWUeItIDlxET7FhNtfgU4xYtKYMChudlYvplts92iHKUS75A1WkGo9k1TblL/fNVkIaPSkxL1LaeWN+AO7Ejo6bTbJcY8ASdENWACg0+mwGIeRYL+d8qpnCKpVAJgMR5AS9zgGfefoBtgCXL4tqIRO0tX68/H9/R3sD0VRGNarC7edfBzPfvNT3RSsAztncP+EE0lx2Pb72P5gLTmujzk2bRkexUlNwElQDWLVxWJSYvil8FyybWdh0knbirTRo0fzxhtv4Pf7WbduHRdeeCEVFRXMmjULgNTU1BaPwev1MnLkSHr16sXs2bNJS0sjNzeXefPm4XQ6W+y8Pp8PvT5UJ5P9F7HkY79+/Xj++ed59tln65U///zz9OsXfqo5IUR4Fd4CFhe9w9rKRcCuKYmTjV05NeMmNlc8id1wDAkxl4PqJ4DKtqrPKK5ZwjGWEVGNW4iOqtybz9cFL7HZtbyuLMPch5PTr0ejmlledAtdbGeQEHNZXbvdUfUFhTXfc4xleBQjF6JtKfPmMS/vaXLca+rKusYM5MTUKzBqk3H7t+MNlP7d5s6su1ZqtfHE6A9Gq42JYvRCCCGEAIi3jOfXioX8WvYJwb9fLsfqUzk14xYs2m5Rjk6I9suPiSWlM/mz6kd2v2tKM/XglIwbsNrv39UJQOtAUWIw6kPP3iOiw6DPwqaZiNU8imDQiaKY0SgxGPRZ0Q6tRSh7SW0oKAd0/FiLmbOOPJThfbpRWePBqNMSbzXjsBzYclYKCj1jH6TAt44v8p7CHdiVUDJozByffBH9kt6AA4xd7B+j0ViXYMzMzOTss8+uN2vnP6dS9Xq9XH/99Xz88ceUl5eTmprKZZddxvTp00Me+9577+WFF15gwYIF9O/fP2wM69atY8uWLSxcuJBOnXbN1tSpUyeGDq0/Ejc3N5cbbriBr776Co/HQ+/evXnhhRc48sgjAZgxYwaPP/44OTk5dOnShdtvv51JkybV+ywzZszgyy+/5JtvvuGGG27gnnvu4bPPPuPuu+9m7dq1pKenc8EFF3Dbbbeh0+17KjFiycdHH32UsWPH8s033zB48GAURWHp0qXk5OQwb968SIUhRLvh9jv5uXQ2ayu/q1de5NnCRzn3cGb2nfycN5aN/+oQkWA6Cq1iiWCkQgjYNUr5u8LX6iUeAXbWrOOzvMc4NeMm/GWVbHS+3qDdxpsGoVWsEYxWiLar3JvP5zufYGfN+nrlW1y/8k3BKxyf/Dw/558CgD9YyUbna3Vt7sjUNyXxKIQQQrQCeiWZP6u/YXnZx/XKK3wFvL/jdiZ3eTJKkQnRvrl8ZSwpnsmfVUvqlefXbuTjnPuZkDkdbzAPu+GQKEUo9kavdYC2YyzbYtV3QqMYCKreEHVd0GkO/NlOr9WSHmsnPfaAD1VHqzHiIY+Pc+4jSKCu3BusYX7B85yb/SCxxkOb74Riv2zZsoX58+eHHQ347LPP8umnn/LBBx+QnZ1NTk4OOTk5DbZTVZVrr72WuXPnsmTJEnr06NHoeZOSktBoNHz00Udce+21aLXaBtu4XC6GDRtGRkYGn376Kampqfz2228Eg0EA5syZwzXXXMPTTz/NiBEj+Pzzz5k6dSqZmZkMH75ncMNdd93FQw89xFNPPYVWq2XBggWcf/75PPvssxxzzDFs3ryZSy+9tG7bfRWx5OOwYcPYsGEDL7zwAn/++SeqqnL66adz5ZVXkp4uC6gKsa/cgUpWV3wVsq7cl4/LX4FZm0FNYGdduV5jp3f8jVj0aZEKUwjxN2/QzV9VP4Wsy6v5i9pANd1jr2BTRf31CnQaO33ib5Z2K0QTeQLuBonH3Ta5fua45MmYdGnU+vPr1aVZT8KkS4lEiEIIIYTYi+pgBT+VfhSyrjboYqd7PQlGWZ9ZiOZWG3Sx1rkoZF2pN4eaoJs4vbQ90TroFCt94m9jTWn9pIhGMXJI4t1Y9dlRiqxxvoCHleVf1ks8/tPS0veJN6Zj1ydHODLx+eefExMTQyAQoLa2FoAnnwzd4WnHjh306NGDo48+GkVR6kYp/pPf72fy5Mn8+uuv/Pjjj2Rm7v33Z0ZGBs8++yw33XQT99xzDwMHDmT48OFMnDiRrl27AjBz5kyKi4v55ZdfiI+PB6B79z3T0T/++ONMmTKFK6+8EoDrr7+eZcuW8fjjj9dLPp533nlceOGFdT9PmjSJW265hQsuuACArl27ct9993HTTTe17uQjQHp6Og888EAkTylEu+UL1uAP0bNnt3JvPocnP88m54t4gmUkGAeRHjMWoyI3iUJEgydYze4pa0Jx+cvJjDmVBNMRbK+ciSdQSoJpEOkxJ0u7FWIf7J6yJjSV2mA1R6a+SmH1IopqvkOrWMi2n41N3w2LvEgRQgghWoUgAVz+0rD1RZ4tEYxGiI7DE3DXTXMcitNbRKalTwQjEiI8kz6ZRIYwJH0W253/w+3Pw2HsQ5btDAya1tuxtDboosSzI2x9uScPXzD8O1/RcoYPH86MGTNwu928+uqrbNiwgauvvjrktlOmTGHkyJH07NmT0aNHc/LJJ3PiiSfW2+a6667DaDSybNkyEhMTmxzHtGnTmDx5Mt999x0///wzH374IQ8++CCffvopI0eOZNWqVQwYMKAu8fhv69evrxuxuNvQoUN55pln6pUNHDiw3s8rVqzgl19+qZfD252IdbvdWCz7NptiiyYfV69eTd++fdFoNKxevbrRbQ89VIYSC7EvDBozOsUQNgEZZ0jHburBwbo7CeDBqMSj1RoiHKUQYjejxoqCBpVgyPoYXRwWfSYWfSY2fQ/81GJUHGi1B7aWgBAdjUXX2BRDCiaNFau+E11jLyA9ZhQKeoy6hIjFJ4QQQoi906DFpkugKkwCMtnYNcIRCdExGLUWNOjCJiAdBhmJJVoXiz4NC2lY4m/FTzV6xYFe27qXmzJpYkgydmKHO3S+JN6YgV4xRjgqAWC1WutGED777LMMHz6ce+65h/vuu6/Btocddhhbt26tWzPxrLPOYsSIEXz00Z6ZG0aOHMmsWbNYsGABEydO3KdYbDYb48aNY9y4cdx///2MGjWK+++/n5EjR2I27/1doaLUXzdUVdUGZVZr/SWegsEg99xzD6effnqD45lMpn2KH0Czz3vsg/79+1NSUlL3/wMGDKB///4N/gwYMKAlwxCiXTJr7fSLHRWyLt6QgU23qzeFUReHRZcqiUchosyosdLTNjhkXbq5J0bNngu+QRf7d7uVxKMQ+8qksZJpDt0b+6CYozBq97Q1ky5VEo9CCCFEK2TXpjA48ayQdSZNDBky8kqIFmHS2OjrOD5kXaKxE1ZdbGQDEqKJDDo7Fl1aq088Aui1RvrHjUZDw7X8AIYkno3dkBThqEQod911F48//jh5eXkh6+12O2effTavvPIK77//Ph9//DFlZWV19ePGjWPmzJlcfPHFvPfee/sdh6Io9OrVi+rqamDXQL5Vq1bVO9c/9e7dmyVL6q/du3TpUnr37t3oeQ477DD++usvunfv3uCPRrPvqcQWHfm4detWkpKS6v5fCNE8XN58fGo1g+LH4wm6Wev8rm40VaqpO6dk3Ei8UdZSFaI1qPU58ajleANujku5kIAaYKPrZ3ZPwZpl6ctJ6dcSZ4j8mo7egIvaQDl+tQa9JgazNgGdRnrXibbH7SvFG6zE9//s3Xd4VGX2wPHv9N7SC0noXYoiVSkKIiq2VdaG3cXFVdFV1HVVdBF/urZdC66uvaCuig0L2CgiKk0QkBpISK+TTDJ95vdHJBgzEwgkk3Y+z8Ojec+dOyfKnbn3PW8J1aBRWjg97WY+Lfh3g5Gkvc0jOSnlaqwaeYgTQggh2ju1Wk0v8/GMji/lx/LFBMN1s7Ac2jTOSr8Nq1JmXwlxtPx+P+5wAb5gNQqFCo3ShF6RzLjEC/CHvWyrWsGB59Y0Qz/OSPsrDq30NYnOw+UvJBCqwR9yo1GZ0CltGNSRl7FsaSalg/My7mZJ/uPUBCsA0CmNnJR8NXZNSkxyEIc2ceJEBg0axIIFC3jyyScbxB577DFSU1MZNmwYSqWS//3vf6SkpGC32xscd8455/Dqq68yc+ZM1Go15513XpPvuXHjRu655x5mzpzJwIED0Wq1LF++nBdeeIHbbrsNgAsvvJAFCxZw9tln88ADD5CamsqGDRtIS0tjzJgx3HrrrcyYMYNjjz2Wk08+mY8++oj33nuPL774osn3vvvuuznjjDPIyMjg/PPPr1/RdPPmzcyfP7/Z//1atfj420029+3bx9ixY1GrG75lIBBg9erVETfkFEI05vTt4/viBylyr0eFgUnpjzM6/jzcwSq0SiM6pRGHLvZFDCFEYy5/PjudH/JL5ZsEwh60KgeTUv/N+KRL8QSr0alM6JUmbNrY70VQ4y/ix5JHyK1ZCYRRKjT0tZ7L4LhLMchMMNGBuPz5bCp7kT3VnxAmiAIlfax/4PTUG/GF3XiCNehVFnRKoywTJYQQQnQgKkIcYxvPMfaTqQ04USt1aBV6dAotGo2mrdMTokOrDRRT6t3KD8WP4A6WAGDRZDAm6W9YVD2YlHQF4xIuwB2sQqc0olOZsGulICI6j2rffn4seYy82tUc6BPpYz2LAY6LsGhav8hu0trJVAzmku4P4Q5WEQqHMKptGNV2DCpzq7+/OHw333wzV1xxRX3h7wCz2cyDDz7Izp07UalUHH/88XzyyScRZwied955hEIhZs6ciVKpjLis6QHdunWje/fu3HvvvezduxeFQlH/80033QSAVqtl6dKl/PWvf+W0004jEAgwcOBAnnrqKQDOPvts/vWvf/HPf/6TG264gR49evDiiy8yceLEJn/XqVOn8vHHH3Pffffx0EMPodFo6N+/P1dffXUz/6vVUYTD4fARvbKZVCoVBQUFJCU17PQpKysjKSmJYDAYizSOWFVVFTabDafTidVqbet0RBdV7cvly/ybqfbnNooNj59NX9v5aGWZRrleRbvgC7rZ7nybjWULG8WsmkwmpT2KVdutDTIDT6CCbwpup8TzU6PYAPuFDIu/NmYzIOV6FUejxl/CxrKF7Kn+pFEs1TiSUYm3Y5HR2S1GrteOa2/NPu7Zch/3Drqb7qa2GfRZ7d3C+oJzODZ1MRbdoDbJoSuR61V0BrurPmF10X2N2g2qBE7p9jRWbWYbZNXy5HoVbaHE/TOf7b+GAzMbD1ApdJyW8SLV/v1kmMe3TXLtmFyvnUO1P49VhXdT6tnSKNbPNoMhcVegVzvaIDMhOpdW3fPxtyJtaAl1xcffb2wphIis2p8fsfAIsLXi9frRakKItucOFrO14vWIsSp/DjX+ghhndJA7WBax8Aiw3fkunmBZjDMS4sj4Q9VkV38eMVZQ+wP+cE2MMxJCCCFES6jy5bKp7L8RY+5gKWWeX2KckRCdR62/mJ8rXub3hUeAYNjLrqqPSNSNwB2IvJeYEB2dN+iMWHgE2Fn1Pt6gM8YZCdE5teqyq0D9FFKFQsHll1+OTndwJkUwGGTTpk2MHTu2tdMQolOo8O2KGvOGnATD3hhmI4RoSjDkxReqihqv8O0i1XR8DDM6qMZfGDUWCvvwhVwxzEaII+cLuQgTffUMd6AUdH1imJEQQgghWkKYIK5AftR4qXcLPTglhhkJ0XkEwh4qvNH7l8q92wmGqyKUJoXoHFz+vKixUNiHPySDWEXrWblyJdOmTYsad7k6T59cqxcfbTYbUDfz0WKxYDAcXBJSq9UyevRorrnmmtZOQ4hOwaJJjxpTK/SokH0vhGgvVAotKoUu6qCApq7n1tbUno4KlKgVsnyz6Bg0SmOTcb1KlsoRQgghOiIFSvQqB55gRcS4TdM2S0gL0RkoFVpMmhRqApFX4zGr01AqDIQVvhhnJkRsGNWJUWMKlKiV0iciWs+IESPYuHFjW6cRE61efHzxxRcB6N69O7fccosssSrEUbBpe6JT2fEGKxvFelnPQKeUTlYh2gudyk4vyxnsqHo3Ysyq7R77pH5lUCdi0WREXMY5wzwRvSquDbISovk0ShOpxpEU1P7QKGbX9karNLdBVkIIIYQ4WnpVIv3tM9hY9p9GMbVCT7LxuDbISojOwaxJYbBjJl+5N0SIKuhn/wNlNdWk29puwKwQrUmvisesSY84A7KbaQIaeY4UrchgMNC7d++2TiMmYrbn4z333COFRyEOodZfToV3HyWenVT6cgkGG44yM5DCSWmPYVA1HKHTzXQiA+wXotfYYpmuEF1Wlb+QMu8eSj27qfJFXg5Kr7Yz0HER6aYTGrQb1YmcnPYYBlJikWpERnUCJ6U9gkWT0aA9SX8sIxJuRKuS72vRfvmCbiq9uZR4duIP+RmV9DeSdEMbHGPTdmd8ynws2m5tlKUQQgghmlLjL6G8/tl3P4FAoEFcqzLQwzyVHpZpgKK+Xae0MSntMXTKhBhnLETn4QlWY9JkMDn9P5yQ8gBZ5skoUKFW6BmbfBdapYN4sxGFQnHokwnRAVm1GUxMfQiLpuHzYpJ+GMcl/AWTJqm+LRAIUOmre/4s9+7D5S+NdbpCdFitPvPxt9555x3efvttcnJy8PkaFlXWr18fy1SEaHecvnx+KH2B3dXLCRHAoLJzbPzF9DCNw6pNBeqWKk5gAKd0ewp3oAxv0IlFk45Gacb86zFCiNbj97upCOaysuhxijzbAIjT9uDE5Buwqbth1jbsBLFo0xmZcDO+uFm4/HnoVDYM6nis2sy2SL8BqzaTU7otxB0oxRMsx6hOxqCKR6+2t3VqQkTl9BWwp3oFGyrewBOsQqnQ0MdyMqNT7sEfqqLWX4BBnfjr7GIpPAohhBDtUaVvP6uLn2FfzXeECWFSJzA64RpSDcfUP/sCmLVpDIubxWDHJVT5ctGqLBjViRgUiWjUsiSeEEfC6Stgu/MzNlW+iy9Ug1qhY4DtNE7LfA2VQok6bECjMqJVycwv0bk5dL04Ke0xPMEKPIEyTJo0tEoLFm1a/TFOXwEF7p/4vvR5agKlKFDS3TyWMYmzsMvzphCHFLPi47///W/uvPNOLrvsMj744AOuuOIKdu/ezY8//sh1110XqzSEaJecvnyWFcyn+NdiBoA7WMm3xU9BEgxQnY5WdfDhyqrNbBfFCyG6GleohA9zb8b3m83Hy33ZfJR7K+dlLcRM4xHY5l9vXOP0fWKW5+EyqhMwqmXUuOgYfMEadld/zZrS5+rbQmE/26s+o8qfx0kpt5Np6d+GGQohhBDiUCp9+1my/w6c/v31bTWBUr4sfIBTUu9pUHwEMGvrVgux63rFNE8hOqPaQAWbK99jU8U79W2BsJfNlYtxBUo5Iek6TNqkJs4gROdi1WZgJSNqvNizja8KH6z/OUyIbNcqKnz7OD39AWxaWZpYiKbEbNnVp59+mmeffZYnn3wSrVbL3LlzWbZsGTfccANOpzNWaQjRLtUGyxsUHn9rXdlr1AZkSr8Qbc0XdLO9almDwuMBIQKsL3+DGn95G2QmRNdQEyxjffkbEWMF7s14gnI/KYQQQrR3lb6cBoXH3/q+9HkqvZFjQoij5wlWsaXyg4ixbNfKiM+6QnRVlb79fF/6fJRYLpU++b4S4lBiVnzMyclh7NixQN2mmtXV1QDMnDmTRYsWxSoNIdqlMs+uqDFP0Ik/7IlhNkKISLwhF4XuzVHjRZ5t+MPysCZEa/EHa5vsECn37Y1dMkIIIYQ4IgW1P0eNOf37CRGIGhdCHB1vqJpg2B817vIXxzAbIdq3YNhPlT8/arzQHf37TAhRJ2bLrqakpFBWVkZWVhZZWVmsWbOGoUOHkp2dTTgcjlUaQrRLJnViozalQkNP81gSdd3RKWU/CyHamkahxxRlidJUw2D6Wyahid2YHiE6PU+ggHDYh1rpQKOyolbqUaAkTCji8SZVfIwzjCwcDuMPVaJAgUZlb+t0hBBCiHbFrKlb0tGsTqKPZTw6lYEizx72ur5DrdSjRHVU5w8EqwnhR62woFRqWiJlIToNg9LOqPiLCYb97HJ9R6Uvt0Fcp7K0UWaivfAHKwmEnCgUWvTq1EO/oB3xBysIht2oFBY0LfB3WalQoVboCUSZEHLg+0wIEV3MeklPOukkPvroIwCuuuoqbrrpJqZMmcIf//hHzjnnnFilIUS75NBlolMe3Mw7zTCYc7rdSzeNh4Dnf2SX30VZ7XLcUZanEUK0Pr3awjH2sxu0GVVxnJl+L8dYelPjfpntpTeQV/UGbn9O2yQpRCfg9udSUvM5v5Tcws/Fs9lb+Tg1vt1olRayzGMivkavsmHRtv3DsSdQQF7Vy2wuupxNRVdSUP0/vIGitk5LCCGEaDe6GYczPunPTEycgSG4mqDnXXroVJyTcT8j4mZiUDuO6Ly+YAXltSvYUnIdPxXOZE/FP3H79xEOB1v4NxCiY6r176WydjFh7wdoAl8zNm4KU1L+ilJRV6S3aFLQq2xtnKVoK35/NTW+3eyt+Bc/F8/ml9JbKalZ2iH6Ib2BEirc3/NL6a1sLrqaXeX34vJuwx90HdV59QoHA2ynRYypFBrSDEOP6vxCHI0HHniA448/HovFQlJSEmeffTbbt29vcEw4HGbevHmkpaVhMBiYOHEiW7ZsiWmeMZv5+OyzzxIK1Y1Uv/baa4mLi2PVqlVMnz6da6+9NlZpCNEumRQJnJa+gCV5d6BVmhkVfy47Sv5EKOwFoNa/k0rPt3Sz/ol0ywXoNd3aOGMhuiajOp4xCdeypvRZwoSZknoT+yvuwRM4OGK0unwzFu0QBiQ+gkGT1YbZCtHxuP257Kt8mqKad+vbav07KXItZljKG5yQeB3V/kLKvLvr4zqlldPSF2BWpLRFyvU8gQI2FV6GO7C3vm1H2Z2YtccwOOlpdOrktktOCCGEaCf0Sg2a4CaynW/Xt9X6d1Ja8yFDU99EpzI38erI/EEnOZVPk1f9coNzFrje5tjUtzBp+7VI7kJ0VLX+bH4qvARfsKS+rcq7EZtuLOMT/8QPZYuYlvYP7Frpa+qqPKFcfiq8mOCBrWT84PT8QIr5fDJtf8bQTvsh/UEnxTUfsqfiwfq2Wv8uSmo+YXDys8QZTjjicxs0FoY6zqPMu4d898b6drVCz6np96FTWY8mddHJBIMhtqzNprykmrhEC4NG9EClar15f8uXL+e6667j+OOPJxAIcOedd3LKKaewdetWTCYTAA899BCPPvooL730En379mX+/PlMmTKF7du3Y7HEZqZ7zIqPSqUSpfLgf/AZM2YwY8YMAPLy8khPT49VKkK0OxqNgQR6c17WQoKharLL76gvPP7W/qrnSDGf2QYZCiEArNpUelsmkWUeTZUvH6/vhwaFxwOqfZuo8m6S4qMQzeQPVTYoPB4QDNewu+JB+iU8yKlp91ITKKXEuwurOhm7NguzMgWNpu2WVguHQxS7ljQoPB7g8m3G6VlLkvn02CcmhBBCtDP+UBmFrrcbtQfDNWSXP0jfhPno1WnNOqcvWNyg8HhAKFzLzrL5DEp6Eo3M6BJdlC9QSa7z+QaFxwOc3tUMsl3FORn/xqaTftmuyuPfz56KBw4WHn+j0PU/0iwXAe21+FhGdsWjjdrDBNhZdg9Dkl/CoMk44vNbtalMSrkVd7CSYs8vGFUO4vW90CktGNX2o8hcdCbffv4zz9z/IaWFzvq2hBQb1955JuOmDm6V9/zss88a/Pziiy+SlJTEunXrGD9+POFwmMcff5w777yTc889F4CXX36Z5ORk3njjDWbNmtUqef1ezIqPkRQWFnL//ffz3//+F7fb3ZapCNHmNBoDdjJweXdQ49sW5agwTs8GTNq+Mc1NiM4m31VFtc9Llc+LRaPFrNXRzXJ4HRIWbd26/gaFis3Ou6MeV1TzPg7DGLSqyPtECiEaK3d/EzVW6fmOYMiFTdsLmzadNGPLLHOzz1lJtd+DOxDAoTdg0+hJ/HWk4OHyhyoiFk0PKHC9RZxxImpl884rGsrdWUBGn7ZfXlcIIcSRK6v9OmqswvMtwVDkvbWaUuH+LmrM6f2eQKiqSxQfi2tdlHvc+IJB4vQGkowmtKo27fYT7UAgVEFp7edR4yU1H9A37sGo8UNxet2UedyUe9yoFUpsOh3djJY2HRgomicY9lLp+T5qvNy9HItuUAwzOny1/j2E8UeMeQK5BEJVR/0eNm0aNtJIMQw86nP9nt/vZ39tNZVeD8FwmDidgXidkSqPl0q3G51aTZzRQIJZniPbq28//5n5N7wK4YbtpUVO5t/wKn//98xWK0D+ltNZV/iMi4sDIDs7m8LCQk455ZT6Y3Q6HRMmTGD16tWdp/hYWVnJddddx9KlS9FoNNx+++385S9/Yd68eTz88MMMGjSIF154oVnnXLFiBf/85z9Zt24dBQUFLF68mLPPPrvJ17z++us89NBD7Ny5E5vNxqmnnsrDDz9MfHz8Ufx2QrQCRbjpsCJmW7UK0SnlVFXy4NrlfLJ3B6Fw3fU2JjWT/xs3le62w99jJkyAprZOVqAgHFYcbbpCdCmKQ25H3rLX1PbyEm5c/jHbyutGgmuVKmYOGM4Vg44lw2Jv5tmayl3Rwpl3PeuXb+Vvf3icB967ieHjB7R1OkIIIY6QUqFqMn4k35cKRdf+lg2Hw/xSXsKfv/qA7KoKAAxqDTcfO47z+xyDQ29o4wxF22v6PvVI7a+q4rvCfdz3/VdU+epW70o2mnlk/GkMdiTjMMrfvY5DQaPqSb123A95yM//9vv9UOp2sbWshFtWfkpRbd3+lFatjrtHncTo1G6c9/wiAPokxvOv886gV0JcW6YrIggGQzxz/4eRL50woID/LPiQ0ZMHtuoSrOFwmJtvvpkTTjiBwYPrCp2FhYUAJCc33P4lOTmZffv2tVouv9fqnx5/+9vfWLFiBZdddhlxcXHcdNNNnHHGGaxatYpPP/2UH3/8kQsvvLBZ56ypqWHo0KE8+eSTh3X8qlWruPTSS7nqqqvYsmUL//vf//jxxx+5+uqrj+RXEqJVKbBi1kYbEaHApD0upvkI0ZkUulw8sn4lH2dvry88AnxXkMOc5R+TU1V52OfSqZJJMp0RNZ5sPgedWga4CNEccYaJUWMO/QmolC3XgZHtLOfSz/9XX3gE8IWCPL9lLR/s3obb5zvsc2mUcaSYz4saT7VciEpmPR6VopwyAAr3lbZxJkIIIY6GTX9S1JhDPwGlsvl7aNn1Y5uMqZWde9ZjnquKGZ8sqi88ArgDfu7/4Ru+zY9dB6Non1RKO4nGU6PGk81no1I1PSggmtyaSm5Z+Wl94RGgqNbFlUvfpdjjOqJzithTKQ3Y9WOixuMM42OYTfMY1T1QEHmWrUGdhfoIvlNipczt5spl79YXHgGqfF5uWfkp+a5q1t10DQA7S8qY+cr/KHAe/SxO0bK2rM1usNRqI2EoKXCyZW12q+bxl7/8hU2bNrFo0aJGsd8P0AqHwzEdtNXqxcclS5bw4osv8vDDD/Phhx8SDofp27cvX331FRMmTDiic06bNo358+fXr1d7KGvWrKF79+7ccMMN9OjRgxNOOIFZs2axdu3aI3p/IY5WIBCgwldJbaC2UazErcdmuB2lonEHa7zxOgprZNkUIY5Uld/DR3t+iRjbUFKA03twmafagJsKXyXeQOP9VwFUKgPJ5jMxqHs0ill1I7BEHUQgROdX7a+myt/8hyO10vrrniKN23vGzUWvbrklN3dVllNYG7lT5LmffyQ/SiwShUJBkmkaRk2vRjGr7jhsumOPOE8hhBCiIznwrOsORN5aJ79Gi10f+bveqJtNUU3ziyA6VSIZ1j81alcpzPSOuxONqv12PreENYW5DYo/v/XPdSspqW28j5vovNz+uudYX7BuIJ1O7aCb7Qp0qpRGx8YZJmFQH9l+eHnVVTyxYXXEmC8U5O0dm/H4Iy+HKdoXvTqNXnG3o1JaGsXSLJe06wKeRpVIr7g7GrUr0NAn/h8YNO1zr8pav59F23/CHwpFjD/x0xqc4WD9z2U1tfxS1HgQZrW/BqdPipJtpbykukWPOxLXX389H374IV9//TXduh38+56SUveZf2AG5AHFxcWNZkO2plavYuTn5zNwYN2ayD179kSv18d8xuHYsWO58847+eSTT5g2bRrFxcW88847nH766VFf4/V68XoP3rxVVcmFLI6ez+ejNFjOd2Vr2Va1HZvGxpTkCcRrHSTq6/aFc/l93PXdNh4Y9wo+/8cEgutRKRPRai5gaY4Xq7aEvnGZbfybtC9yvYrDVe3zEgxHX9q4sNZFmreMUm8Fy4q+odLvZIC1L2PijydRHd9o3wqDJotjkp+lrPYbSmqXoEBNivk8rPrjMGiyWvvX6ZDkeu3cijzF7KvZzzcl3xIMBxmXMIq+ll6k6JMO6/UGTQbdrFcSZ5hIfvVr+IMV2PRjSDWfi0ZxZB0j0fxSURw1Vun14A8Fo8Yj0alTGJL8IuXulRS63kGBijTLRdj0I9GpD+/3b2/kehWi45DrVbQHBe5CfijfwGbnVixqC1NSJpKgjSNJf3AP9A9255JmmsDI5LH4Am8TDFWgUY9BqZzCtV+tZeFJze8oVqusZNiuIs5wIrlVz+MPluEwnEiK+Vz06vbX8dzS1+vGkvyosb1VFfiaeU8jOqZSTzlVgSqWFS2nxFtKT1MPxieOwaG1YtJ0Z0jKK5TUfEZZ7ReolEZSLRdg0Q7GoDmy/iVP0M8uZ3nU+LaKEqq8XvQdfO/HrvL9qlNkcmzq/yiofgen53s0KgdplpkYNT3bbQEPQKOykGiahlk7gP1VL+MJ7MeiHUya9ZIjLqzHQrXfw/aK6Cu67K4swxMMNGjbWljMpL49gbrn7pzaPL4uXkUgHGRs/Ej6W3qTYuiYz50dVVxi44L90RzXHOFwmOuvv57FixfzzTff0KNHw4kRPXr0ICUlhWXLljF8+HCgri6xfPlyHnzwyPf5ba5WLz6GQqEGnbUqlQqTKbbLTo0dO5bXX3+dP/7xj3g8HgKBAGeeeSZPPPFE1Nc88MAD3HvvvTHMUnQFBf4i/rH1EWqCB2c8ri77gT9mnMO4hJEk6uIxqNVsKy/ntPeXcnJGX4YkHE+J28cHezZR6fXw8inRl3XrquR6FYfLotGiVCgaLLn6W0lGE9+W/sii3Pfq27ZUbefTgi+5a+BfydI0vnk1aLLoZruMeOPJKBSqFp2Z1RnJ9dp5FblLeD77dTZXbatv2+TcSndjBnP6ziL5sAuQmRg0mZg0AwnjRauMQ6Vq+XvH3vaEqDGrVodG2fwFQnTqFFIt55NgnIoCBWpVyz9kxJJcr0J0HHK9iraWW5vH/K2PUhU4OLp/TflazkqbxklJJ9YXIPs6Erh5xSckGkyc1fNcbDo164orWL7/c+L0RtSKI1ugS6NyYDeMwqI7hlDYh0ppRqlon6sGtfT1Oigu+gyGbmbrEd3TiI7F6XeypWob/9nzCuFfNx/bUrWdpUVf8bcBc+hr6Y1R051089Ukmc5AoVCjVzeeCdkcepWG7lZHgyUjf6u3LQ6zTndU79EedJXvV43GiIaedLddh89yIUqFHp06sa3TOixaVTxaVTxGTV9C4VrUCisqVfveb9Sk0dLTFsfqgpyI8SyrA72q4XdY36S679EiTzEvZr/JT86f62ObnVvJNHbjpr7XHvbAX3H0Bo3oQUKKjdIiZ+R9HxWQmGJj0IjGK6Ydreuuu4433niDDz74AIvFUj/D0WazYTAYUCgUzJkzhwULFtCnTx/69OnDggULMBqNXHRR4xUoWkur34GEw2Euv/xyzj33XM4991w8Hg/XXntt/c8H/rSmrVu3csMNN3D33Xezbt06PvvsM7Kzs7n22mujvuaOO+7A6XTW/8nNzW3VHEXnV+It5ZV9bzcoPB7wdu77eIJ1I6nitEYu7DeEYDjM0pxsHl6/kZe3baXS6yHFaCbLao9x5u2fXK/icJm1Ok7J7BMxNjAuCbtOx5u5ixvFaoK1vLzvLUq9ZVHPbdB0k8LjYZDrtfPKrt3XoPB4wN7aXH4s30ggEIjwquj0miQMmoxWKTwC9HMkEK83RoxdNmA4ScYjf1+NytrhC48g16sQHYlcr6ItlXsreDNncYPC4wEf5H+KJ3hwa4PhiWlYtTpK3DX8d8vPPLJ+I9/s30cYuHrwCNItR7c/o0ppRKOyt9vCI7T89XpCehZGdeTZZTcNP4Eko/mozi/av5qAm+ez36gvPB7gDfl4bs+rFHnqVvxQq9W/PrceXeERIN1i5bqhoyPGVAoFF/YbirGDz3qErvf9qlKZMGgyOkzh8bc0Kgs6dXK7LzwCmDU6Lu4/DFWUvfeuGzoau/Lg95hNr2NQal1RMac2r0Hh8YCc2v2sKVvX7OduceRUKiXX3nlm3Q+//1/568+z/nYmKlXLl+AWLlyI0+lk4sSJpKam1v9566236o+ZO3cuc+bMYfbs2YwYMYK8vDyWLl2KxRK7vopWvxu77LLLGvx8ySWXtPZbNvLAAw8wbtw4br31VgCGDBmCyWTixBNPZP78+aSmNu4s1ul06DrBCB3RPlT5SiBcy+VZ09CpzkOn0OIPFaNU6Mh1V/Js9mK2VW0nRZeAVlPClYOOo8xdy4d7ttXfOvayxfH0SWfSwxbXpr9LeyTXqzhcaWYrfxs5EXfAx/K8vfXtxySk8OSk09Cpy3h06O2EQwp0Ki+hsAcUBr4p2cK7eZ/i/k3HiTgycr12ThU+J18Xr4oaX16ymhGOYZjDCjwhN/6QG63SiEFlwai2N+u9giE/3mAJgZALldKAThWHWtn8QmFPWxyvTj2fa7/6gJzqSgCUCgXn9RnMBf2GYtHqm33OzkauVyE6DrleRVvyhLxsqNzMLX1m0d2UhC9ci1qhA1Q8tesN1lduItNUt2xfhsnCa6fOYPZXH7DfVbd84YFCxfQe/dGqmr/nY0fT0tdrmsnKm6ddwDVfLK6fhaZRKrl2yChOyujZYu8jYscX9OAKlOIN1aJV6jGqHBjU0TuLCzxF+MN1+yua1WbmDbwenVKFP+xGqzCgVTa8roIhL95gKYFQza/30wmolc0v2PS2xXHP6JN48McV9UtE2nV6/nnitKiD/Doa+X5trMafiz/kgnAItdKCWStbQwFU+ArwBWsJE0KnMuHQpjV5fLzOyDMnncUtKz/D6avrazKoNdw2YjxZFjvHPvosAOk2K0//8UxSrRaq/a4mn7tXlKxmdNxxpHTQbT86onFTB/P3f8/kmfs/pLTQWd+emGJj1t/OZNzUwa3yvuEmtpQ6QKFQMG/ePObNm9cqORyOVi8+vvjii806fv/+/aSlpaFswWUhamtrUasb/qqqX29oD+d/lBBHo8KXzzdFz7Oreg1hQmiVBo5znEVfy3C+K/gjiYax3D/oVjZWFkBIwVe507Hyb24bMZ7rho2mzF2LWaPDqtXR3eZo619HiA4vy2pnwbipVPu9VHjcOPQ6vOF9LCm4gZpgBWqFlqGOaQyxT2JNwRWolQaG2q5k+KDZ8p0hRBShcIhgOPp+QnaVFb0qyNdFr/BL1QrChFArdAxznMaxcWdi1x7e6GtvsJx9Vf9jV+WLBMO1gJJU48kMir8Vg6b5I7gHJSTzytTzcfo81Pp9JBhMWNRaUi3WZp9LCCGE6KrC4TD/GnonObUbeH3fg3iCdTMgM41Dub7PdeysKqw/VqPRMMAez2unzvj1+9df//0bb5R77SOhUioZkpDCh2fOpNRdgycYJMlgIsFgxKjRtnV6opmqfMWsK/+IjRUf4Q97UaCkr+UEJiRfEfWeOfDrvp52tY0HhtzMtyWvs835DSGCqBVajrFP5fj4c7BrU/EEStnjfIXsqkWEwl4UqOlmPp1+cddjaGbBIt1iY3r3/kxI70mJ24VaoSTOYCReZ8Sml4F8nY0n4KQ2sJdNJfdR7d8JgEGdzjEJf8Oq6YdB0zULXp6AizJfLp8X/JtS714AbJpkJqfMJknfE4sm8nYfyWYzozVZvH/mJZS5awmGQyQazFjVWmp9ARZdPgODRku8yUCSpW4GezDU9HN3MBwkRKjFf0fRtHFTBzN68kC2rM2mvKSauEQLg0b0aJUZjx1Nu1uHYuDAgWzcuJGePaOPznK5XOzatav+5+zsbDZu3EhcXByZmZnccccd5OXl8corrwAwffp0rrnmGhYuXMjUqVMpKChgzpw5jBw5krS0pkchCHE0Kr0FfJT3IIWeHfVtvpCb78reBIWCPvbZ7Kx8CndxHiOSn2RT7iYgTBXXs76k7viBcU/Qw3YCSkXnHwEqRKx0+3U5p0pvIUsLn2Rvzbr6WCDsY135BwTDfgbF38GWsn/wS8W/GBh3K3bdmW2VshDtWrzOwZj4kWyp2h4xPrvPBXxe8AT7ajbUtwXCXtaWLyYUDjIm8Y+Y1E3P7A+G/eyrepftFU/9pjVEQe0yaoOFjEr+Nzp1fLNz7yEDe4QQQoij4tDY2eVayZdFzzRoz6n9iXdy7mJG5oL6NnegiG8LLsMdyP+15S7KPP8A4Nikf5JunhqrtDsVhUJBislCiqnjL/velfmCtawtf5+15Qe3AgkTYnv1CmqDFZyeditWbePlMLsZUlGi5L7B1/NV4X/Y5fq+PhYI+9hQ8RGBkJcTk2aS7fwve6ve+M35A+S6PsAbrGB40v1oVc1b+jjRZCYR6GWXVbo6O3+ojDUFfyIYdte3uQN5/FB4PSekvdZli4+uYDlv7/sb/vDBlbKc/iLey72XS3o8GrX4CGDV6bDqdPSMsMpdVpy9UZtdZ2Vs/Eg2ObdGPN/xccOxN3NlIdEyVColQ0b1aus02p12V349nFkla9euZfjw4QwfPhyAm2++meHDh3P33XcDUFBQQE7OwQ1bL7/8ch599FGefPJJBg8ezPnnn0+/fv147733WueXEOJXNcHKBoXH31pX/gFxhkkAuPx7cQfy6B3fu9FxOyv/hidQ3Kp5CtFV+cK1DQqPv7WpYilm3fD6n3dVPo+SililJkSHM8jaj26GxoO6krSJ+MLuBoXH3/qp8lM8Qdchz+8NlLC78oWIMad3M+6gfFcKIYQQbcEbKmN16esRY05/EWW+g/0z1b6dvyk8Avyj/t+2lT+OJ1DSWmkK0e65AuVsrFgSMZZbu5naoDNiTK/ScVbaNCDYoPD4W1ucX+IJ1bCv6u2I8WL3CrzBsiPKW3R+waCH3OoPGhQeDwqxs/I53P6u9zwWDPrYUvllg8LjAWFCfFfyJtX+lr2u+ll6k2ns1qjdobFzctJ4jBqZdSzaj3Y38/FwTJw4scki5UsvvdSo7frrr+f6669vxayEaKzcG30jal+olsCva/IDVHm3kWUeAb/7TvKHqn9dWk4I0dKq/NE7N0IE8P1mj0dfqJxghBtKIUSdFEMSt/S7jtWlP7CydA3BcIhRccOZkjSJCl/kGZFQN6PxcIqPgXANgXBN1HiNfy923YAjyl0IIYQQRy4YDlDVRKdzvvsXeltGA1Dh2RT1OHcgj2DY2+L5CdFReEM1BMK+qHGnr4AUQ+NB6/G6OCYmjaMmkBPhVXVCBPEEXYQJRD3GEyzBguwTKhrzhaqp9P4cNV7l+4VAF+y7rA1VU+CO/qxb5NmNPxSpYHvkUgxJ3Nz3Wr4rW8fKku8IhAMcHzeck5PGk2pIbtH3EuJodcjioxAdxYGp9VZNEr2MU9AqHLhC+9jp+hJ/yINaeXDTaoMmnUCg8U2gEg1KhWxuLcTveQMB8l3VhAmTqDdiOYI9JYyHWFJG85trVKXQy7UoxCEk6xM5LWUyo+NHAGBT2zBq9PjC9iZepUCrNB7y3CqFHgUqwkTe40Kvqlvmx+3zUVjrIhyGVJMZg1b2OhJCCCFak1KhRqc0EQz76WWagE3dlwA17K39knJfLg7NwZURTJrMqOfRKC0oFdJNJboujUIPKIDIEy6a2qYgSZ9Aobu8yfPrlSZGJK7CHfCjVihJNhhZmnd8fVyrbN6Sq6LrUKsMGNTRty4zqFJQKrrec5dWqcfWxHKzVk0iqiP4XnMH/FR5vWiUKuIMBgD2VznxhYIY1RpSzEmckTyF0XHHESKEXW1vtzMeQ+EwZe5awmFw6PVoVLKtWFcid3VCtCKrJpkxcbOpdKWy8LsdFNbkcUxSClcN+wc+5VZqfHVrdKuVFmzafnyxf1Sjc6Sbz0Cnav4eVkJ0ZvuclXy8czvvbd+KLxRkao/eXDR4CD2buc+EQWUlTptOuS+vUSzTNAx/8OCSUOnm6WjkYUyIQ9KpdaSqG464NKpt2DWpVPoLGh3f3TQcndJw6POq4kkzn0qeq/FSVDpVAkZNf/Y6K3j3l618tPMXAKb37scf+g+mu91+ZL+MEKJd8wRKyKl+m0zLDPTqxntgCSFiw6i2My7hClShnryyaSff5+Xj0BuYOeQKBsXXkmbsW39snH44KoUh4tJ9Pawz0ami740lRGdnVNvpaT6ePa4fGsVsmmTMmqafd/UqMwm6LEq9+xrFhjvOo6hazxNrv2FTcSHJJjNXDzuOoYkr+KlsPCZNd7n+RFQapZke1j+y3/VBxHgv++WYNNGLk52VTmViWNwZbHYuixgfGf8HbNqUwz5fIBhkX5WTZ9b/wLf7c3DoDSw8dTo7yst4ZsOP5FdXMSA+kb+MGE2KyUyqpX3vs1noqubjXdtZtGUzvlCQM3v348JBQ+hmlb61rqLd7fmoUCjaOgUhWozXZ2XNXhvXf76c9UUF5Luq+XxPNhcu/gx8xxEIVqBVOhiV8hSqUHyjImOCfhT94majPoxOWSG6ir2VFVz76Yf88/tV7K4sJ7fKyX9/WscFi99mT2XTIz1/z6FL46xuf8emaXgzmKzvxZSUWWwrvQ+ABMMY+tivQN/ESFMhRHQObTrnZNyFTdOwKJms782U1Ouwag+9PIxaaWRA3BzidMc1aNerkhid+h+KXD4u++g9nli7hr3OSvY6K3li3fdc+tE77K2U/VqF6Iy8wRJ2VS7EG5Q94oRoS3qVGV3oOC54bymLt+8k31XNltJibv9qNYt+cuP2Wg8eq05mdOp/0CgtDc6RajqFLOt5MvNRdGlGtY2TU2aRou/boN2qSeLcjHuwa1ObfL1dm8aZ3f6GQ9uwCNTLPApLaDJnvbOIz/bUXaMbigq47vOPeWHTeobGr2BkyhPo1VJ8FNFpVfEMSbjndzMclfS2XY1V2zfq6zo7k8rO1NQbUSk09W0KlIxK+CNJ+uYtY7yjoozT3nqV//2yhXxXNc+eeibv/rKVqz95n7UFeeS7qvly3x7+8N4iNpcUtfSv0qIKXdVc+fFi5n+7vL7v7qn1P3Duu4vYXxV5/1rR+bS7u7qm9nIUoqOp9nt5et2PjdqD4TB/++ZLXpn+B8alTUCnSEKtNnBi+pvU+vPwBsswa7LQqRPRqRxtkLkQ7dfawny2lTXuZCyurWHRlk3ceNxozM1YgjVR350ZmffjCpRR5S/Grk3DpLYRCBQwIP5mzNoeaJRWjJrGG3oLIQ5for4HMzLnUx0op9pfgkObjlFlxa49/BGyBnUyI1IewRsoxeXfh16dgEGdhoZ43tyzgX3Oykavyaly8umenVwz5FjU6nZ36yuEEEJ0ePurnNy36hu8wcbbiHy4cztXDjmufpaDUqHGoTuG8envUBvYjz/kxKzpiU4Vj/YQWyII0RU4tGmc1e1OagIVVPjysGgSsKoTseuaLjwekKDL5LyM+3AFyn99vk0lFEjm8o8+JBAKNTr+pU0buHDgMZg1WS39q4hOxqhJJZHxjE8/Fpd/N6GwH6u2LyqFEaPm8P5+dkZWbRK9FMfTredTlHlzCYZ9JOp7olEasGkOf2WOSo+be1d+3eC71B0M8OS6NY2ODYXD3LPyK/rExdPD3j77jdcW5LG1ib67OSPHyhKsXUC764HZunUraWldb5q26Jy2lhRHWam/rjPU5fPR3d69vs2gTsagls2BhYimtKamfjnFSD7bs4sLBw5pVvER6mZAOnS/++5pRkFECHF4HLpuOHRHV8jXqeLQqeKw6g6Ors1xOlmye0fU1yzZtZ3TevUly2Y/qvcWQgghRGOeQIAfCxpvY3DA1znZDEs52DGtUKgwalK7dGe1EE2xaZOwaZNIM/Y7otc7dOk4dOn1P28pKWZ3E6sEbSgsoF+8LF8uDs2oSQQSsWh7tHUq7YpZE4+ZeOJ1GUd8jiqfj+/z99f//NMlV/NdaRHBKBO1ClzVVPm8R/x+ranW7+d/v2yJGv9g5y9cNmQ4SSZzDLMSbaFVi4/nnnvuYR/73nvvAZCRceQXqRDtzaFGcCiVssywEM2hVilRK6OvGK5RKmX5biG6IJWCJj8btEoVKvlsEEIIIVqFQqFAqVAQitJBqpWZDUK0KdUh+p7kGhWi7SmhwXdpMBg8ZL9ye33GVSkUaJp6PleppO+ui2jVPR9tNlv9H6vVypdffsnatWvr4+vWrePLL7/EZpOlNUTHV+AuZl35z7ycvZgP874kt7aAY5KSon7YDkpIwqzRRowJISKz6w38ccAxUeN/6DeINLOlUXuBu4QfyzfzcvZiPs7/mtzaQip91RHP4Q/5KfKU8FXRSt7OfZ/Nzq2U+ypb6lcQokMq8ZSTU5PP4v3LeCV7MT9VbKPQ3X72WEu32pgxYHDU+IwBg2VTeyGEEOIIHM49gFGtYVJm9FkwJ2XJDBkhWkKRp4TtVXt4bd8HvJWzhD2uHIo9pYd8nUmtYWhSSsSYWqlkSHLkmBAidmx6PZO796r/+dhFL9LdZkenijx3rJcjDotGy3v7P2aPax/VfleDeE2ghv21hSwtXMVL2e+xunQ9+e7iVv0dDtCp1cwcPCxq/KJBQ4g3GGOSS1fxwAMPoFAomDNnTn1bOBxm3rx5pKWlYTAYmDhxIlu2RJ+R2hpadebjiy++WP/vt912GzNmzOCZZ55B9WvVPhgMMnv2bKxWa7RTCNEhFLpL+L9fniOnNr++7eW973NLv6tYOO0Mrl7yYYPjTRoN90+cTKYs/yZEs/WLT2BiZg++yclu0N4/PoEz+vRD97s93Qrcxdy/7Rny3Ac341YrVNzS7yr6Wbpj1x4sSPhDAbZW7eCf258kGA4CsDjvE1L1yfxtwBwSdPGt+JsJ0T6VuMvYVLWdp3e9QejXxcQX539BL3Mmt/a7imR9QhtnWGd0egYjUtJYW5jfoP3YlDTGdMtso6yEEEKIjqvuHmAHT+96vdE9wC39riRFX7dMY6rFwm1jT2RjcQFlbneDc8w+diRmjS7muQvR2RR5Snk5+wO+K99Q3/Zm7iecmXYyp6eOJ6mJe/IMm535E07mwvf/h8vvaxD7+7gJmNQyMF6ItmbR6rhj7HjWFebVf5ea1VrunziZW7/8rMG2Xnq1mv+bdAopBiP/++VD/rf/Q8bEHc+l3f+IXWvF7Xeztzaff2x9Gm/o4DUfr7Vzz6C/kGFs/WXPByYkMbl7L77Yu7tB+4D4BM7o3Q9lJ5v5GAyF2LAzj9LKGhLsJob3SUfVxOzPlvTjjz/y7LPPMmTIkAbtDz30EI8++igvvfQSffv2Zf78+UyZMoXt27djsTSeuNEaYrbn4wsvvMCqVavqC48AKpWKm2++mbFjx/LPf/4zVqkI0aIqfVW8lftJg8IjQIgQj+x4nseH/Z0PzruIV3/eSF51NcempHJOv4GkGExtlLEQHVuWzc69409ie1kpb23bjC8Y5Ky+AxiRktZoP7cybyWv7fuwQeERIBAO8sj2F3h02B0Nio8Vvkoe2f5UfeHxgAJPEW/se48/9ZqJXtW8/SSF6OjcIS9P7XqD8O92Md7tyuGj/K+ZkXEaVk3bf6dl2ew8MvlUNhcX8872LRAOc27/QQxNSpG9HoUQQogj4A57eWrX6xHvAT7O/6bBPUDfuATeOfdCPtu9k5X79xFvMHDJoKGkWaxkyOoDQhy1Lc6dDQqPB3yY/yUjHIOaLD4C9HbE88H5F/P+jm2sK8wn1WTmksHDSDKaSI1RJ7QQomk97A4+OP9ilu7ZzRd7d/PAdyu5ddQ4Pjz/Yl77+SdyqpwMSUrh/P6DiNPpuXzD9fWv/a78R46LG8K4hFGU+6t48JfnGhQeAcp8lTy96w3m9LmMZEPrDiJONJl4YOIUZpYN5dXNG/EGg/xxwGBGpKaTEmHFso7sq/U7+eeb31BccXD2aZLDzK0XTOSkY/u06nu7XC4uvvhinnvuOebPn1/fHg6Hefzxx7nzzjvrt0Z8+eWXSU5O5o033mDWrFmtmtcBMSs+BgIBtm3bRr9+DTdL3rZtG6FQKFZpCNHiXIFaVpWujxgLhkP87NzOqanj6eWIp8bnxarVYdDKqDIhjkaWzU6Wzc6I1DSCoTCJpsiFD3fQw/flP0WM+cMBdrr20s14cImZ7Jp9+MOBiMd/X76OCzLPluKj6HJ+KN/UqNPxgC+Lv+O01AntovgIkGVzkGVzMCY9gzBhEoztIy8hhBCiI/qhrHn3AD3sDq4Zeizn9huIXq3Gppf7ZiFaQqG7hCUFy6PGPy1cQQ9jN8za6Pe+Bo2GXo44rh8xmgp3LSatDrP0TQnR7nSz2LhiyHD+OHAwGqUSrUpNOjbuGuegxu/DrNbw2Mb/sIXGy2d+nL+UY2wDKfNVUB2oiXj+X6r34A55W/vXAOoKkBNMPRiVlkE4HMag0cTkfWPpq/U7uXXhx43aiytc3LrwY/755zNatQB53XXXcfrppzN58uQGxcfs7GwKCws55ZRT6tt0Oh0TJkxg9erVna/4eMUVV3DllVeya9cuRo8eDcCaNWv4v//7P6644opYpSFEiwuGgwSiFCsAnP66feXMWq3c2AnRwuIOsUa8PxwgGI4+wOX3+z5W+SPvAwl1s5kDv5sRKURX4GziuvAEvYSauMbaSrxR9o8QQgghjtaR3AOo1WqSzebWTEuILicUDuEK1EaNV/lr8IZ9mDn0wDutSkVyJ5t1JERno1AoMGka9iGbdTrUanh4+1Ns4ZeIr6sO1KAMK6hu4vMCwBfyt1iuh0OvjlkJKqaCoRD/fPObJo95+M1vmDCsV6sswfrmm2+yfv16fvzxx0axwsJCAJKTkxu0Jycns2/fvhbPJZqY/Z9/+OGHSUlJ4bHHHqOgoACA1NRU5s6dy1//+tdYpSFEi9MqNaQbkhst63jAYFsfSjyFWNR29GoZ+SnEkSrxFOEJ1RII+TGpzZhUdkyapgsMeqWWJF08xd6yiPEB1l4Nfu5l7hH1XIm6eJn1KLqkofb+fFzwTcRYb3MmGqUqYqyzKfYU4gnWEgwHManNmFU2jIf4DBJCCCE6subeA1T7qqkNVlMTdKFVatErjSTok2KQqRCdm0ltZLCtD18VR36uHe4YgE0VuaBY6i3GG3TjDXkxqk3olSbsWnsrZis6qhp/Na5gNbUBFxqlFr3KSIKuY3yGV/vdVPhc1AZ9WNQG4rVm9J1wL1OdUsuIuGFsqYpcfBxiG4BWrSXdkBwxDmBSGTCpDa2VYpeyYWdeg6VWIymqcLFhZx4j+mW06Hvn5uZy4403snTpUvRNrDSh+N3emuFwuFFba4pZ8VGpVDJ37lzmzp1LVVUVAFarNVZvL0SrSTUkcWn3s3lg238axfqYsyjx7mVRznucn3ElGfqexB1iHX4hREM+n4/iQD6v71tIvicHAL3SwKmp5zHYOoLEJjo0DlyfD29/vlFskLU3dm3D76EEXRyDrP0j3shdmjWDOHlIE11QuiGZTGNao72NFSi4NOtskvWJbZRZbLgDHgo9Obyes5ASb93oQaPKzFnpF9PbNIiETv77CyGE6LrSDSmHfQ9Q6ilmbcVKviz+CN+vy7llGHpycda1pBpatsNNiK7GprVwVtrJfFu6vtEebjaNhTHxw1BHmFlU5M5nUe5/yK7ZAYBGoeHExKmMi58iAwNEA6XeYn4sX8lXv/kMzzT25KLM9v8ZXuiu5MGti/mutO7vuVqh4uxux3NFr5OI13WuWb4KhYLjHEN5P+8TnP6qBjGtUssZaVPRKrUYVXpOSDg24jZhMzKmYVfJXswtobQy8tK2R3pcc6xbt47i4mKOO+64+rZgMMiKFSt48skn2b59O1A3AzI1NbX+mOLi4kazIVtTy8/3bEIgEOCLL75g0aJF9RXW/Px8XK6mK8RCtHfdjen8fcCfyTSmAaBX6jg1ZRwXZk5mScEbVAecvJj9OFXByrZNVIgOqDJUxtO7FtQXHgE8ITfv571Kbu2uQ76+jzmL2/vPopuhbm9Hg0rPGamT+EufmaT8bjCAVWPhut5XcmbqqRh+neWYpk/htn43MNDavwV/KyE6jlRDEnf0/xOTk8eiVdbt0dDTlMG8QX8hpQsU3pz+Mp7evaC+8AhQG3SxKOc/lPkKm3ilEEII0bGlGhIj3gPc87t7gEAgwLbqjXxa+E59pzVArnsPC3c/QLGnIOa5C9HZxOms3H/MTRxj6weAEiWj4obyj8E3khZhllOJp5Bn9zxUX3gE8If9fFX8MesqvsUd8MQsd9G+BQIBtlZt4LPffYbn1O5h4e7/o6Qdf4aXe138bePr9YVHgEA4yDu5a3g1ezmeYGyXF42FRF088wbOZXTcCJS/lnYGWwfwj8G3k6Sr6+NK0sdzSdbZzMg4DYu6bjnmJF081/e+hFHxQzFpZVWvlpBgP/RS1805rjlOPvlkNm/ezMaNG+v/jBgxgosvvpiNGzfSs2dPUlJSWLZsWf1rfD4fy5cvZ+zYsS2eTzQxm/m4b98+Tj31VHJycvB6vUyZMgWLxcJDDz2Ex+PhmWeeiVUqQrS4JH08Sfp4soxplPpKcPrL2ez8jlf2LiFE3T4YYcJ8UfQBf0i/Aocuro0zFqLj2O3aRk0w8n4znxa+S4axJ4n6lKivP3B9ZhpTCYSDqBRKrGoLZk3kZSYcWjvnZ5zJKSkTCYZD6JRabFqZqS+6thRDIjMzz+Ts9MmEwyHUCjUphs5feATYWLmmwUP4b31W+C7x2hSZ/SiEEKLTOpx7gPJACcuK3o/4eqe/gnx3Dkn61IhxIcThMavNmM1mru9zMd6gHwUK9Eod8Xp7xOPLfMWU+iJvD/RNyRKGOUZhUKe1YsaioygPlLCs8IOIMae/nALPfhLb6Wd4mbearVX7I8bey/2eGZljSTN2vj7YFEMSs3pdysVZfyAcDmNUGzGpG24JkqyP5+z0k5iQeDzBcBCVQkWaQWY8t6ThfdJJcpibXHo12WFmeJ/0Fn9vi8XC4MGDG7SZTCbi4+Pr2+fMmcOCBQvo06cPffr0YcGCBRiNRi666KIWzyeamBUfb7zxRkaMGMFPP/1EfHx8ffs555zD1VdfHas0hGhVSsJ8XriIPTXbI8YL3Ln4w5E7MIUQkeXU7I4aK/bmEyZ8WOdJbUahRK1UEy+DBIRowKq1YKVzLVtzKJ6Al/3uvVHjBZ5cggRil5AQQgjRBg51DxAMB3D6K6LG97v3MswxqjVSE6LLSdTFH/og6vqfoqkN1uD/3fKtousKhgNUBaJ/hufW7mGI/fgYZnT4CtzR8/aFAtQEOm8frF6lR69qegajQWXAYJD9HVuLSqnk1gsmcuvCjyPGFcAtF0xEpYzp4qP15s6di9vtZvbs2VRUVDBq1CiWLl2KxRK7fp2YFR9XrVrFt99+i1bbcLPXrKws8vLyYpWGEK1KpzKQoE2OWnyM0yWiUXS+DY+FaE3JhugjhOyaOBTEbqNkIUTXolfrSNRFn1kdp01CFdtdDIQQQoh2R6VQY1SZqQ1GHvmfpGufM2aE6MwSdNH39NIqddI3JeqpFCqMKhO1wcj70iXpW37WVktJ0EcvoqgUSgxq+XsuWtdJx/bhn38+g3+++U2DGZDJDjO3XDCRk47tE7NcvvnmmwY/KxQK5s2bx7x582KWw+/FrPgYCoUIBoON2vfv3x/TaqsQrcmkMXJi4lR+rFgZcTbW5KQzcRzmKDUhRJ0B1qF8nP8W/nDjkZknJ5/Z5JKrQghxtI6PG883xZ8SovF97JTkM0nQx26zdiGEEKI9sqgdjE+cymeF7zaKGVRGsky92yArIbq2ZH06FrWN6oCzUWx03CSMKumLFXWsmjhOTJjK50XvNYoZVEayjL3aIKvDk6SzkWGMJ7e2rFFscvIxxGnNbZCV6GpOOrYPE4b1YsPOPEora0iwmxjeJ73NZjy2JzH7LzBlyhQef/zx+p8VCgUul4t77rmH0047LVZpCNHqTCobF2f+GZ3y4NR3tULDOekziddKkUSI5jKpLMzqdRtm9cF9FxUoOCHhFAZZhrdhZkKIrsCgsnJVz5swqA5uEq9ExSnJ55BhaL8P4kIIIUSsGNR6jo8bz0jH+AarkljVDq7tdTtWlaMNsxOia0rSp3Jtr9uI0yY0aB9qG8mEpGlYtFJ8FHX0Kj2j4icwwnFig89wm6buM9yisrddcoeQoLfy6LGX093UcJud0fF9ua7fNIxqXRtlJroalVLJiH4ZnDqqPyP6ZUjh8Vcxm/n42GOPMWnSJAYOHIjH4+Giiy5i586dJCQksGjRolilIUSri9fHo1IM4a/97qfSV06IIHHaRLQKPQ7ZQ06IZjNrrHSjBzf2mUeVvxJvyEP8r9dUnD7h0CcQQoij4NDa0Cj6cFPf+6jyV+AP+YnTJaLDgEMv3+udSVlJNZ+88yOnnXc88YnSISeEEM2RoEvi1JTzOSn5DMp9JRhUJsxqK3ZlPFqNLHsnRFvoZuzBn3vdSU2gitqgC4c2AZ3SQLwu8dAvFl1KvC6J01NnMDl5ev1nuEVtw6aMa/ef4RmmBJ46/hrKvNVU+mpJ1FuJ05qxaY1tnZoQXV7Mio9paWls3LiRRYsWsX79ekKhEFdddRUXX3yxbHwq2rVSTymekIdCTzEmtRGHxo5VbcWoif4lZtfZABvJ+rTYJSpEO1fiLcET9FLkKcKsNmPX2IhTxTXaCzgSg8aAQWMgSS/7xQghDk+xp5jqQDUVvkritHGY1SaS9ElHdC6zxopZY5Xv9U6uvLSa15/5mtET+0vxUQjR6TW6N9faiVM6DuvePJr4XwcGphoyWipNIbqsMm853pCHQk8RWqWWBG08Vo0Vo7p5BZUkfQogq3CJQ4vTHfozvMpXRU2wlhJvCcFwkGR9Mnqlnjhd285wj9dZiNfJ/bsQ7U3Mio8ABoOBK6+8kiuvvDKWbyvEESvxlPBe3vusLltT32ZRW7i+z2yyFJno1fomXi2EOKDEU8Kbuf9jbcW6+ja7xs4Nfa4jU5GBRqNpw+yEEJ1NvruAJ3ctJM+dV9/W09SDa3tdQ7Ls0SiEEKKLK/GW8FbO//jxN/fmNo2NG/v8hVRFSpMDbYUQra/EW8IXRV/zeeFSwoQBMKgMzOp5NT3NPbBpbG2coeiKyjxlbHft4MW9r+AL+QBQKVScnXYmYxJGkSgzaoUQvxPTxWdfffVVTjjhBNLS0ti3bx9QtxzrBx98EMs0hDgs7qCbb8u+a1B4BKgOVPPo9n9R4a9oo8yE6Fhq/DV8UfRVg8IjQKW/kke2P05poPHG4EIIcaSKPcUs3P2fBoVHgD012by091VKvaVtlJkQQgjR9lx+F18Wfd2g8Ajg9Dt5ePtjOANVbZSZEOKAHdU7+azw8/rCI9T1UT2x62mq/dVtmJnoyqqD1Ty75/n6wiNAMBzk3bzF5Lnz2zAzIUR7FbPi48KFC7n55puZNm0aFRUVBINBABwOB48//nis0hDisDl9VSwt+iJizBPysKN6V4wzEqJjqgpU803JioixmmANObW5Mc5ICNGZ1QRro36ubK3ahjvojnFGQgghRPtRHajm6+LlEWO1TXyHCiFio8hTzJKCTyPGguEg35V9H+OMhAC3382XRV83KIj/1icFn1HqlYHlQoiGYlZ8fOKJJ3juuee48847UasPrvY6YsQINm/e3KxzrVixgunTp5OWloZCoeD9998/5Gu8Xi933nknWVlZ6HQ6evXqxQsvvNDcX0N0IUGC1ARqosYLPIUxzEaIjisQDuAJeaLGi7xFMcxGCNHZNfXdDeAORv88EkIIITq7QDjY5L15oTznCtGmwuFQk0WcQk8RgVAghhkJAZ6wh2JvSdR4qbcMf8gfw4yEEB1BzIqP2dnZDB8+vFG7TqejpqbpTqLfq6mpYejQoTz55JOH/ZoZM2bw5Zdf8vzzz7N9+3YWLVpE//79m/W+omtRoSJeGx813tPcPXbJCNGBaRRqrGpr1HiWMTOG2QghOrum9sBRosSkNsUwGyGEEKJ9UR/i3ry7KSuG2Qghfk+lUNPN2C1qvKe5B2qlOmpciNZgVpnpbuoeNZ5hSEev0sUuISFEhxCz4mOPHj3YuHFjo/ZPP/2UgQMHNutc06ZNY/78+Zx77rmHdfxnn33G8uXL+eSTT5g8eTLdu3dn5MiRjB07tlnvK7qWFEMyZ6VNjxhzaBxkSsFEiMPi0Dg4I+20iLFEXQIp+uQYZySE6MwMSj3H2AZHjI2OH4VRZYhxRkIIIUT7ESf35kK0a4n6BM5NPytizKAyMNw+LLYJCQFoVBrGJ45Do9A0iilQMD39DBxaRxtkJoRoz2I2VObWW2/luuuuw+PxEA6H+eGHH1i0aBEPPPAA//3vf1v1vT/88ENGjBjBQw89xKuvvorJZOLMM8/kH//4BwZD5A4or9eL1+ut/7mqSjZd74oG2gbwx27n8WHBEtxBN1nGDM5Nn45Da8UTrKTYE8CktGDSRh85KlqfXK/tm06t41jHMNxBN58WfF6/zFNfcx+u6HEZyS3QwVHjd1EbrMIVrEKJAqPKgkUdh16tP+pzi5Yl12v7U+4twh2qxRv0YFSb0SsN2LUJbZ3WEUvQJ3Bp1iW8nfsOayvWESaMSqFibPwYzkqTh+LmkOtViI5DrldxuA7cm3uCHj4p+Oyw7s1LPQW4QzUEQn5Magt6pQmrfJ8eMbleRSSl3kLcQRf+kI8knZ3b+v2Vp3f/h+qAC4B0QzpX97gCh9retol2MXK9HuTQOLil3028sPdlijxFv7bZuSTrIuI0TX8nuP1uXMEKaoMuQoQwq6wYVVZMGnMsUj8qvpAXl78SV6AKjVKLSW3FeojfV4hYyMvL47bbbuPTTz/F7XbTt29fnn/+eY477jgAwuEw9957L88++ywVFRWMGjWKp556ikGDBsUsx5gVH6+44goCgQBz586ltraWiy66iPT0dP71r39xwQUXtOp779mzh1WrVqHX61m8eDGlpaXMnj2b8vLyqPs+PvDAA9x7772tmpdo/xJ1CUxMnMBwx3ACIT+1wXLeyn0SV6ASAJ3SwBlpl9LHMoQ4bVLbJtuFyfXa/iXqEpmcdBIj446nNliLTqlDr9STqD/6AkeFt4TdNVv4MO9FPKFaAExqK+dnzCbd0BOb3BS2K3K9ti/Fnnzeyn2C3NpdQN2o1aH2sZyaciFxuo478yFJn8hFmX/k7PQz8YQ8GJQGTCojdp29rVPrUOR6FaLjkOtVNEeiLpGTkyZxfNwIaoO1aJVaDEpDo3tzv99PoX8fb+z7F2W+ur0gVQo14xOnMypuMnE6eQY+EnK9it/Lq83mjZzHKfHmA3XX2biE05g38G84AzWoFCqMKgNJernmYk2u14OMaiP9rf34a98bqQ24CRPGqDaSoI5HrY5eYqj2l5Pn3svbuU/jCjgB0CuNdf2p5mNwtOPvEpffyYqSj1hZuoRguG6v1URdGjO730KKPqONsxPtSTAU4ofC/RTX1pBkNDEypRsqZestOlpRUcG4ceOYNGkSn376KUlJSezevRu73V5/zEMPPcSjjz7KSy+9RN++fZk/fz5Tpkxh+/btWCyWVsvttxThcDgck3f6jdLSUkKhEElJR//holAoWLx4MWeffXbUY0455RRWrlxJYWEhNlvdPkDvvfce5513HjU1NRFnP0Ya2ZKRkYHT6cRqlVluXVGBex//3nl7/ZfNb/2p5z30tkRe4k20Prleu7Y9rm08s/vuRu1KVNzQ9/9IM3SPfVIiKrle249SbyEv732IIk9uo9jxjpOYlnoR5ib2TxSdX3u6Xj99dSX/uulVbnxsJtNmntgq77FzWz7XX7CQJ978M30GpLXKe7SVvTX7uGfLfdw76O4228+t2ruF9QXncGzqYiy6lhlt6/Ru5dv8GYxLexubrnlbeXQ27el6FZ1HiSefJ3f9DXewplHsnPSrGZMwtQ2y6vjkehW/VeLJ5+ldd1ETbDyj7ozUSxkVdwo6teyl11bkej16Be59/GvHbYQINorN6jWPXubYzcJqjlA4xHeln/FB/ouNYia1lRv6PIijA68YJFrOZ3t2cO/qryiocdW3pZrM3DP2JE7t2bdV3vP222/n22+/ZeXKlRHj4XCYtLQ05syZw2233QbUfZ4lJyfz4IMPMmvWrFbJ6/ditufjAcXFxWzbto0dO3ZQUlISk/dMTU0lPT29vvAIMGDAAMLhMPv374/4Gp1Oh9VqbfBHdF2eoIcfyr6MWHgE+Kr4XSq8pTHOShwg12vX5fSV8VXxexFjIYJ8V7YUt98d46xEU+R6bT9cAWfEwiPA+soV1ASrY5yRaG/kehWi45DrVbSG7JptEQuPAF8Xv0+JtyDGGXUOcr2K38pz74lYeAT4puRDqoJlMc5I/JZcr0fHG6zl+7JlEQuPAF8VvUdlO+1PrfZX8EXxuxFjNYEq8t3ZMc5ItEef7dnBn5d92KDwCFBY4+LPyz7ksz07WuV9D2wzeP7555OUlMTw4cN57rnn6uPZ2dkUFhZyyimn1LfpdDomTJjA6tWrWyWnSGJWfKyqqmLmzJmkpaUxYcIExo8fT1paGpdccglOp7NV33vcuHHk5+fjch38S7Bjxw6USiXdunVr1fcWnYM3WEuhN3IHLUCJNx9/2BfDjIQQULf2/oGlaSIp8uTiDUfuMBGiqyv3FUWNBcMBvCEp3AshhBBdWb57b9RYpb+UcDgUu2SE6KTy3fuixlyBSkLhyEUbIToCd9BNYZQBr1DXn+prp/2p/rCfmkD0PT4Lmrh2RdcQDIW4d/VXRFpW9EDbvau/Jhhq+fulPXv2sHDhQvr06cPnn3/Otddeyw033MArr7wCQGFh3XL5yckNt9NJTk6uj8VCzIqPV199Nd9//z1LliyhsrISp9PJxx9/zNq1a7nmmmuadS6Xy8XGjRvZuHEjUFfJ3bhxIzk5OQDccccdXHrppfXHX3TRRcTHx3PFFVewdetWVqxYwa233sqVV14ZcclVIX5PrzKRrIteqE7QpaFVaGOYkRACQKPUkahLjRpP1nVDpzDFMCMhOg5HE3sVqxRqdEq5RxJCCCG6sqa2L7Bp4lEoFLFLRohOKtWQGTVmVttQoophNkK0LIPKSJK+qf7UVLSK9rmssFqhwaSOPtO1qWtXdA0/FO5vNOPxt8JAQU01PxRGXnnzaIRCIY499lgWLFjA8OHDmTVrFtdccw0LFy5scNzv79XC4XBM799iVnxcsmQJL7zwAlOnTsVqtWKxWJg6dSrPPfccS5Ysada51q5dy/Dhwxk+fDgAN998M8OHD+fuu+v2/CooKKgvRAKYzWaWLVtGZWUlI0aM4OKLL2b69On8+9//brlfUHRqOpWOUfGTo970nZR0LnadrPMtRKzZtfGclHRuxJgSJWMSpmLQSAFFiEgsajtJUQbWHGsfj1ElhXshhBCiK+thGoBeaYwYm5R0Ng5V9IFMQojD083QC6PKEjE2IXE6VnV8jDMSouXoVAbGxJ9yiP7U9vl33KqxR+1vMqospBl6xjgj0d4U1x7eSmuHe1xzpKamMnBgwz3vBwwYUF8TS0lJAWg0y7G4uLjRbMjWFLPiY3x8fIM9Fw+w2Ww4HI5mnWvixImEw+FGf1566SUAXnrpJb755psGr+nfvz/Lli2jtraW3NxcHnnkEZn1KJrFrLZwWY9bG4x60Sn1nJN+NQnalDbMTIiuzaFJ4A/dZjWYpWVUWZjZ/RbM6sgPcUIISNClcGn3W0j/zUOTAgXH2EZzUvK5WDTNuz8TQgghROdiUtm5uuffG6yWoFKomZB4Jv0tx6JWq9swOyE6B5sygat7/p343/QrKVExLn4ax9jGoFO3z1lhQhwuo9rKpd1vwaRq2J96bvqfiNO130EsSoWKYfYTGJ84vUHxNEGbwrW95uHQyiSUri7JeHgDtg/3uOYYN24c27dvb9C2Y8cOsrKyAOjRowcpKSksW7asPu7z+Vi+fDljx45t8Xyiidmd4t///nduvvlmXnnlFVJT65bIKyws5NZbb+Wuu+6KVRpCHDGLJo4eCiOze/2D2mA1oXAIk9qGSWnBpJUChxBtxaFLYrBiJD37DMQVdKJEiVFlwaKOQ6/Wt3V6QrRrSfp0Lsm6GU+wFm/IjVFlQac04JDZ/EIIIUSXZ9QYydT04Zqef8cdcOEP+zGrreiURmzauLZOT4hOQavV0k3bk6t63Ik7VIM/5MWktqJXGbFp5DoTHZ9N40BnGszs3r/2pxLCrLJh7AD9qRaNjSnJMxgTP5WagBONUotJbcMqA3UFMDKlG6kmM4U1roj7PiqAFJOFkSnRlx4+UjfddBNjx45lwYIFzJgxgx9++IFnn32WZ599tu69FQrmzJnDggUL6NOnD3369GHBggUYjUYuuuiiFs8nmpgVHxcuXMiuXbvIysoiM7NuTeScnBx0Oh0lJSX85z//qT92/fr1sUpLiGbRq/Xo1WltnYYQ4ndMWismrCQi16cQzRWvi92SG0IIIYToeBJ0qSCTr4RoVQl6WVFLdF4duT9Vp9KjU+nluVk0olIquWfsSfx52YcooEEB8sCuiveMnYRK2fKLjx5//PEsXryYO+64g/vuu48ePXrw+OOPc/HFF9cfM3fuXNxuN7Nnz6aiooJRo0axdOlSLJbYFf1jVnw8++yzY/VWQgghhBBCCCGEEEIIIYQQQrSKU3v2ZeGUM7l39VcU1Ljq21NMFu4ZO4lTe/Zttfc+44wzOOOMM6LGFQoF8+bNY968ea2Ww6HErPh4zz33xOqthBBCCCGEEEIIIYQQQgghhGg1p/bsy5TuvfmhcD/FtTUkGU2MTOnWKjMeO5o22R3c4/Hw1ltvUVNTw5QpU+jTp09bpCEEZd4qaoMelChJN8r+VkK0tQJ3GYFQEJ1SQ5JB1tAX4mgVu8vxhgJolCpSDPFRj6vy1eALBzCodJhkr1QhhBCiSyjzOKkNelEq5HlYiNZS4a3CFfSgREG6MbGt0xFCtDPuoI8ybyXhMMRpLZg0hrZOSRwBlVLJmLTMtk6j3Wn14uOtt96Kz+fjX//6FwA+n4/Ro0ezdetWjEYjc+fOZenSpYwdO7a1UxGiXk2ghmJPFYtyvmRjxS7MagNnpo9jVPwAUpvonBVCtI4Cdxn7aop4fd8XFHjKyDImM7P7KaQY4kjRx7V1ekJ0OIXuCoq95byydyn7agpJ0cdxYdZkephSGnzPOf01bHXu5dW9Syn2VtLHnM4VPaaRaUxGr9a24W8ghBBCiNZS4auizFvN63uX8XNVNnaNmXO7jWeYo7c8DwvRQqTfSQhxKPnuUpYVrmVZ4VoC4RDjEgZzdrcTyDAmtXVqQrSIVp/7+emnn3LyySfX//z666+Tk5PDzp07qaio4Pzzz+f+++9v7TSEaCDfXcFf1v2LL4vWU+arYl9tEU/sfI/Ht79Dvru0rdMToksp8zpZXvwTd27+L1ur9lLhq2Zj5S7+uvFpNlXspjZQ29YpCtGh1Aa8bHHu4aYNT7GhYiflvmq2Vu3jrs3P82XReko9zl+P8/D+/pX8ffPzbK/OpcJXzQ/lvzB73eNscu5u499CCNHWyn1O3sxZQrnP2dapCCFaWF5tKdete5wVpZso91Wzp6aAh7e/xfN7PiHfXdbW6QnRKUi/kxCiKXm1pdy1+QVe2buUAk85Jd5K3s9bxc0bniK3trit0xOiRbR68TEnJ4eBAwfW/7x06VLOO+88srKyUCgU3HjjjWzYsKG10xCiXrG7gud2f4wn5GsUW1uxnRKvdLAIEUs1AS8vZX8aMbZw1weU+2pinJEQHVu518lTu96PGHt171Jqgx4AKnwuXtu7rNExYcI8tv1/lMr3oeiAcrNL2jqFTqPC5+St3E+okOKjEJ1KgbuMJ3e+TyAcbBT7ungDLr8M/BPiaBV7KvlvU/1OnsrYJyWEaFd+qtzF3prCRu3lvmo+ylst38eiU2j14qNSqSQcDtf/vGbNGkaPHl3/s91up6KiorXTEKKeN+xnfcXOqPFvSzbHMBshRIm3En+Ezg+AqkAtVX4pPgrRHFUBN84o100gHKTQUw7AvtoiQoQjHlfsraRaHnZEB7N+zW6uOfvfbPheZu4KIUQ0nqCPna79UePrKnbEMBshOidfyM+6pvqdSn+OYTZCiPamwlfFN8Ubo8ZXl/5Mhd8Vu4SEaCWtXnzs378/H330EQBbtmwhJyeHSZMm1cf37dtHcnJya6chRAMqRfS/+jqlJoaZCCHUClWTcWUT16sQojGVQtFkXKOs2/Jbq2h662+59kRHU5RfN6CxME8GNgohRDQKhQIF0e8V5HlYiJYQRi39TkKIKJQKJVpl9OdxjVKNsonvaiE6iqZ7nVrArbfeyoUXXsiSJUvYsmULp512Gj169KiPf/LJJ4wcObK10xCdmNvvp9BTxQ8l+9juLGKQI5Vj4zPoprei0TS+oTOp9ExIGsqXResjnu/EpCGtnbIQ7cbe6nI2V+SxsTyPHuZ4xiT1IFFnxKozxiyHeJ0Fk1pPTcDTKJasd2BRG2KWixCdgUltIFUfT4Gn8Z5NRpWOBJ0NgG7GRLRKDb6Qv9FxPU2p2DQHPwcKap1U+718kb+dcm8t41N6kWWOI8sc13q/iBBCCCEA2FddzvaqIr4v2Ueq0caklN7YtHoS9JZmn8uo0nOcow9rI8xwVKBguKNPS6QsRKdWUOPEFfTyZf4OSjwuTkjuSU9LQv29sUmlZ7z0OwnRKexzlbO7qpRvi/eQqDdzclpfLCodKSbbEZ/TpjEzLXU035VtjRg/JeV4krWOIz6/EO1Fqxcf//CHP/DJJ5+wZMkSTjnlFK6//voGcaPRyOzZs1s7DdGJba8u5sqVr+MKeOvbbBo9L554MYMdaY2Oj9NZmdn9FDZV7qHEW9kgdn63iVjVsSu6CNGWdjiLuXLV6xR7Di7loFepeXbsBQxypGDRxKboZ1WZmdv/Qu7d8jKhcKi+XavUMLf/haQbE2OShxCdRTdjIrcOuIDbf3q2QWFRqVByS/8LsKjqru04rYXb+l/I/K2vEv7N8qsGlY7bBlyEXVvXoVlQ62R54S7u2fBJ/VGv7P6BAbYUnhhzHpkmeSgSQgghWkt2dRnXfLuInJqDs7of/fkrHh/1B46N60aCwdys8yXp7Vzb+yz+uvHpRsu0X9lzGgaVvkXyFqKzKqypZE3pPu5Y+1H9Fgav7v6RPtZEFo6ZQaY5DofOysys6P1OZul3EqJD2Ocq58+r32ZX9cF95R/f8g0PHn8mY5TdSTJYj/jcPcwpjIkf2KgA2ceczoSkoajVrV62EaLVxeRv8eTJk5k8eXLE2D333NPg59mzZ3PfffeRkJAQi9REB7e3uow537/boPAI4PR7uPmHxTw37sKIszIyjEk8POzPrC3fzpqyrVjURs5IH0OSzk6KIT5W6QvRZvbXVHDn+o8bFB4BPMEA1695h7cnXRm74qPOyABrFv8ZcTNL8tew311Cb1M6U1JHYFebYpKDEJ1ND0Mqz4y4mS8K17LDtZ90QyKnp47CrjVj19UVFbUqDaPjB/Lf42/l4/zV5LpLGGrrxcTkYSTrD353Vvu9DQqPB2xzFvLijjXMGTgRm05mKAsRyW5nGb1scm8phDgyhbVV/HPzlw0KjwCBcIibf3iPDyf/iQSaV3wE6GFO5V/HXs/q0i1sqNiJQ2NhevoY4rRWUgwyqEiIpriC/gaFxwN2VpXw9C+ruHXwycTrTWSYIvQ7pY0mWe+QfichOoBSbw1Pb1vZoPAIECLMbT9+yMdTZpF0FI/BaYYEZvc+m+lpY1lS8D3BcJCTko6lvzWDNIPURUTn0O5K6K+99hq33HKLFB/FYXH6PeTXOiPG9rrKqfI3XsbxgG7GRLoZEzkpcThqlQqjWkZ4iq7D5ffyU3lexNiB66qHJXYPRPE6K/E6K9f0mo474MGk1qFVaWP2/kJ0NtZfl0++vPupVAVqMaj16FWNlyLXq7V0N6fw5z5nEwgF0SrVKH63Z+QX+dsbFR4PWLzvJy7tPVKKj0JEsKogm5lfvslrJ1/IuNTubZ2OEKIDcgW8fFXQeHlUAF8oyOaKfHpajqzvJMOYxB8zk5iaPAKdUotBozuaVIXoMlYV7W5UeDzg49yf+VO/ccTr6wbRSr+TEB1Xlc/Nkv1bIsZChPm2eA+9rUe3UleaMYE0YwKD7T0IhcNYNDIrWhyeQCDAvHnzeP311yksLCQ1NZXLL7+cv//97yiVdXsOh8Nh7r33Xp599lkqKioYNWoUTz31FIMGDYpZnu2u+BgOR+veEqIxb7DxPlUN44FDnsOqk5lVouvxhoJNxpsq3LcmvUoTsUAihDgyKpUKh+rQ+0GpFEpUKmXEWLm3NurraoP+Bku2CiEO2u+qGyCX66ps20SEEB2WPxSMWuSApr+jD9eBFRGEEIen3OuOGvOFggR/s5XIAdLvJETHEwyF8TXRd1buOfrv4ANMahnM29GFwiG2V++g0u/ErrHRz9IXpSJyH0tLePDBB3nmmWd4+eWXGTRoEGvXruWKK67AZrNx4403AvDQQw/x6KOP8tJLL9G3b1/mz5/PlClT2L59OxZLbO7/2l3xUYjmiNeZUCuUBCLc3OmUauJ0MmJEiEisGj1WjT5qkbHXEY6gFkJ0Picm9+SV3T9EjA1xpKFVqmKckRBCCNE1GFRauhnt7K+tjBgfHtcttgkJIRid1J1ntq+KGOtnTUKnkq5WIToDnUpFX2sSO6qKI8bHJPWIcUaivVpbvo7XchZR4Tu4TL5D6+CSzAsZEXdcq7znd999x1lnncXpp58OQPfu3Vm0aBFr164F6ib4Pf7449x5552ce+65ALz88sskJyfzxhtvMGvWrFbJ6/dar/wqRAxYNDou7T0yYuyqvqOxamRJCyEiSdRZuHHghIixszKOwaSWJU+FEHW6W+IZYEtu1K5EwdxjJtPNJHtDCSGEEK2huyWOW485OWJsbFJP4mU2lRAx181oZ4gjrVG7ArhtyBQy5d5YiE4h0xzHbUMmo4gQGxqXTprRGvOcRPuztnwdT+x6ukHhEaDCV8ETu55mbfm6VnnfE044gS+//JIdO+qW5//pp59YtWoVp512GgDZ2dkUFhZyyimn1L9Gp9MxYcIEVq9e3So5RSLFR9GhJRmsXNJzBHcNPZVkQ9104TSjjfuGn8Z53YeToDe3cYZCtE9mrZZJKX14dOQ5ZJnjgLqZxDcPmsSNgyaQbrK3bYJCiHYjyxzHE2PO5+KeIzD+uizyEEcar4yfSXezdK4IIYQQrWmIPY3/jL2AvtYkoG4Fkz/1Hcv8Y08jQ76HhYi5TLODx0aey2W9RtYP2h1kT+GlEy+hpyWujbMTQrSk3pZ4XjzhYgbZUwAwqbVc3nsUj448h0yzXO9dXSgc4rWcRU0e83rOm4QirNh4tG677TYuvPBC+vfvj0ajYfjw4cyZM4cLL7wQgMLCQgCSkxsOJE9OTq6PxYKsBSA6vG5mBxd2H86JyT0JhsOolAq6m+PbOi0h2r1uZgfdzA6OsacRCIdQKhSkGWzo1PLVIIRoKNPkYM7AiVzaeyRhwmiVKpnxKIQQQsRAutlOutlOL0t83T07CuL1Jiyyyo8QbSbD7OD6AeO5uNcIQoRRK1RkymAAITqdVKOdVKOdf5kdBEJBlCiI0xqx6mSPRgHbq3c0mvH4e+W+crZX72CAtX+Lvvdbb73Fa6+9xhtvvMGgQYPYuHEjc+bMIS0tjcsuu6z+OIWi4dzdcDjcqK01tbse5ksuuQSrVaYti+ZRq9V0t0jBUYgjkSWjM4UQh8GmM2CThywhhBCiTcgMCyHaF6vOIAUIIboIWU5ZRFLpd7bocc1x6623cvvtt3PBBRcAcMwxx7Bv3z4eeOABLrvsMlJS6mbrFhYWkpqaWv+64uLiRrMhW1NMl11duXIll1xyCWPGjCEvLw+AV199lVWrDm7UvHDhQhISEmKZlhBCCCGEEEIIIYQQQgghhBCHZNfYWvS45qitrUWpbFjaU6lUhEJ1S7z26NGDlJQUli1bVh/3+XwsX76csWPHtng+0cSs+Pjuu+8ydepUDAYDGzZswOv1AlBdXc2CBQtilYYQQgghhBBCiBZU5s1t6xSEEEIIIYQQImb6Wfri0DY9KzZOG0c/S98Wf+/p06dz//33s2TJEvbu3cvixYt59NFHOeecc4C65VbnzJnDggULWLx4MT///DOXX345RqORiy66qMXziSZmy67Onz+fZ555hksvvZQ333yzvn3s2LHcd999sUpDtFPZznJcAS8apQqTWkOGRaazCxFNXrUTV8CLLxTErNGRZrTKPo1CiMNSUuPC6fdQG/RjVGmI1xlxGIxtnZYQogPb69rA2zl/44+ZC8gyD2/rdIRoc9UeD8XeGmoCPgwqDWaNllSTbC0jRHuQ56rE5ffVPUurdaSZ5FlaCNEycqorcPl9hMJhzBot3a2Ht1x6eU0tlW4PoXAYq0FHktncypmKlqJUKLkk80Ke2PV01GMuzrwApaLl5/898cQT3HXXXcyePZvi4mLS0tKYNWsWd999d/0xc+fOxe12M3v2bCoqKhg1ahRLly7FYrG0eD7RxOwbdvv27YwfP75Ru9VqpbKyMlZpiHYmr9rJ5opC7lu7jILaagCGxqeyYNQ0epsdaLXaNs5QiPZll7OUu374nDVFOQAk6I3cMmwCY5K7k2mxt21yQoh2Lae6kqd/Xs3i7J/xhYLoVGr+2GsoVw8YSYZ8fgghjpDTXwRApb+IrDbORYi2llNdyYd7t/Ds1u+p9ntRKhRMTu/D346bJPusC9HGdlaWctcPn/F9cd1s/QS9ibnDJzI6MYMMqwyAF0IcGZfXw67qcv72/adsqygGINNs577jp9I/LoFkQ+QBSMFQiB3Fpdz+8VK2FZUAkGG3cf/pkxmanopBo4nZ7yCO3Ii447i+92xey1lEha+ivj1OG8fFmRcwIu64Vnlfi8XC448/zuOPPx71GIVCwbx585g3b16r5HA4YrbsampqKrt27WrUvmrVKnr27Nmsc61YsYLp06eTlpaGQqHg/fffP+zXfvvtt6jVaoYNG9as9xStY3+tkz+veK++8AjwU1kBF3+xiP2e6iZeKUTXs7eqnMu+fKu+8AhQ6qnl9jWf8nN5QRtmJoRo7/KqnTyw4Sve2v0TvlAQAG8wwCs71vHvzasodFW1cYZCiK6qwptz6IOE6ABqfD6W7NvGIz+toNpft81MKBxm6f4d/GXlB+RUVRziDEKI1pJdVc6lX71ZX3gEKPXUMPe7JWyrLG7DzIQQHV2hx8XFX7xRX3gEyHFVctU3b1NUWxP1dXnOKi569e36wiNAbqWTK954j33lla2ZsmhhI+KO49GhD3F7/1u5ttefuL3/rTwy9MFWKzx2JDErPs6aNYsbb7yR77//HoVCQX5+Pq+//jq33HILs2fPbta5ampqGDp0KE8++WSzXud0Orn00ks5+eSTm/U60Tryqp08+tOKiLFKn5uv9++OcUZCtG8/lxeRXxu5QPDITyvYV1Ue44yEEB2FK+jj85ztEWOLs3+mOuCLcUZCCAG5NetYtPcy9tesa+tUhDhqhe5qntm6JmLs5/JCij2uGGckhDhgU1kBhbWRB7g//NMK9sngACHEEfAFgyze8zO1AX+jWDAc5qnNqymuadyPFwqH+XDzNmp8UV636ntqfPKM3pEoFUoGWPszJn4UA6z9W2Wp1Y4oZsuuzp07F6fTyaRJk/B4PIwfPx6dTsctt9zCX/7yl2ada9q0aUybNq3ZOcyaNYuLLroIlUrVrNmSonX4wgG2lBdFjf9YksvMwLFoZf19IQBYV7I/amxPVTn+cCiG2QghOpIydw3hKLFgOEylzx3TfIQQAqDaXwhA1a//FKIjqw34qfJ5osa3VRQzIikjhhkJIQ5YWxz9WXqns5SAPEsLIY5AhbeWDaX5UeM/lxfiCvhJ+l27x+/nh5y8qK/blF9Ijc+HSbYjEx1cTKs6999/P3feeSdbt24lFAoxcOBAzDHaRPXFF19k9+7dvPbaa8yfP/+Qx3u9Xrxeb/3PVVWyHFlT9pc6CYaCWI16HGbjYb1GgYIUo4XdVWUR4xlmuxQexWHpCtdrcaWL3tb4qHGHzoBKRtWIDqArXK/tSXGli1qfH5tW3+RxJrU81IjG5HoVouOQ6zU29pdUEgyHcViMWA26BjGDSo1GqcQfilzESDfZYpGi6ADkem15eaVO/MEgNqMeh6Vxn1RmE/ubx+uMKBWKVsxOdGRyvYqmmNU60kyR93QESDZa0CpVjdo1KhUZDhtr9uU2ii275FzM9gSqa7zkeZykJ8j9g+i4Yt5TbTQaGTFiBCNHjoxZ4XHnzp3cfvvtvP7666gPs5j1wAMPYLPZ6v9kZMgIxUj2l1by0fdbmPvCEmY//T6Pf7CK3QWlVLqij/g8oLs1jj8NHBUxplQoOLfnMS2druikOvP1mlfq5KufdjH3xSV018ZFvGkBuLTfcaToY/OZKsTR6MzXa3tSUF7FpuwC5r/1BbOffo99+yvoZ0+MeOzwhHQsGl3EmOja5HoVouOQ67V17S+t5M3lG7npvx/xl4WLeWbJd+wtarhMo02t5/SsARFfH6cz0MMSF4tURQcg12vL2V9aycc/bmPui0uYvXAxj3+4kl35pThrGu6zNim9V9Rn6Sv6j5DBASIquV5FU0xaLTP7Hhs1PmvgKLpFGPygUam4ZMSwRu1r/vIn/BoT//54FbMXLmbui0tY8uM28kqdLZi1ELHTqsXHc88997D/tJZgMMhFF13EvffeS9++fQ/7dXfccQdOp7P+T25u45EIXd3+0kr+9eEq7nptKVtzi8grc/LBmi1c/PAiCioO70NxTHIWF/Ue1qBNp1Lz+LgziVMbWiFr0Rl11uu1oLyKt1Zu5Ob/fsTGPfk8/9EPPHr8dMyahjOUpmb05Q89jsEgyzGIDqCzXq/ticcTYMu+Qi577E1W/JxNflkVj7y1gr8PPJkss6PBsb2s8Tw85nQymhgNLrouuV6F6Djkem09uSWV3P3aUv7vna/ZmV9KbqmTN5Zv4IrH3yK76OCe64lmMzcNOZHjE7s1eH28zsgLk2bQzWiJdeqinZLrtWXsL63kyY9W8/dXPmNLThH5ZVV8sGYrlzy8iP1lDfdYtWv0PDPhD41W+zgtsz9ndh+EVhW5MCmEXK/iUBL0JuaPPBWN8mCZRalQMGvgKAY6kqO+LsNu48Hpp9S/bsOcP1FQWc0lDy/igzVbyS+rYktOEXe+8hlPLvmW/aWVrf2rCNHiWnVNS5ut7UcOVVdXs3btWjZs2FC/t2QoFCIcDqNWq1m6dCknnXRSo9fpdDp0OpkF0JTyajfLNuxs1O7xBXjs/ZXce/FUUuOafsDKsNiZPWgsl/Y7ji0VRRjVWvraEjCr9SSZTK2VuuhkOuv1WuPx8erX6+t/Xr8zD38gyMOnTser9hNWQx97AlaNLuJIKiHao856vbYnRVXVLPjf14R/s8ljWXUt972wjBvOHkdGNzt7XeVkWeNI1pvIsspMDBGZXK9CdBxyvbaePYVlrN/deF+mCpebl774kTlnnli/zGOmxcHDY6ZT7qtll7OUJIOZDJONdIMFjUYT69RFOyXXa8uocLn5bP32Ru0ef4BHFy/nHzOnkhZX1y+ZYDQzTKnkw2mXk11VToXPzSBHMma1TgbhiSbJ9SoOJd1sY3JGL0YnX80vlcX4Q0EGOZIxaZpektWs0zJtQF9GZHZjZ0kZTo+fRxavwOMPNDr207XbuWTisXRLaM3fRIiW16rFxxdffLE1T39YrFYrmzdvbtD29NNP89VXX/HOO+/Qo0ePNsqs41v+856osR925OLx+w/rPOmWupvBfo7fb78rRNe2JaeoQfEAYHN2IbctXILFoOOlOTPoFSd3HkKIhqpqPZRX1zZqL3bWcN/LX/DMdedyfv+hbZCZEEII0bEEg0E+XftL1PhXP+3myikjG+wxl2m1k4mdYQlpsUhRiC5r1da9UWPrduXh9TXswHfojTj0Rnra4ls5MyFEV5NssJJsgF7N/HzRazRk2G1k2G1RBzsdsHJLNoOyUo42VSFiqlWLj7+VnZ1NIBCgT58+Ddp37tyJRqOhe/fuh30ul8vFrl27Gpx748aNxMXFkZmZyR133EFeXh6vvPIKSqWSwYMHN3h9UlISer2+UbtoHo0q+qq9KqUC2a5biKOjVka/xqrdXoK/r0wKIQR1S7wcTVwI0XZ2V5XSyyoDi4RoT9Tq6Msxqpt4JhZCtK6m+qSUCgXIPa8QogNRKBQoFQpCUfr6NE3cjwjRXsXsTvnyyy9n9erVjdq///57Lr/88mada+3atQwfPpzhw4cDcPPNNzN8+HDuvvtuAAoKCsjJyTnqnEXTJh7TK2ps/OCeGHWy/5wQR2NAZlLUAuTAjGSMOlm6SQjRmMWgIy0u8vIuRp2GJLs5xhkJIQ7Ht0V7mLZsIauLs9s6FSHEr1QqFdNHDowan3ZcfxxmY9S4EKL1nDgo+kpm4wZ2x6iN2XwLIYQ4agaNmnEDs6LGTxjYPXbJCNFCYlZ83LBhA+PGjWvUPnr0aDZu3Nisc02cOJFwONzoz0svvQTASy+9xDfffBP19fPmzWv2e4rGLEYtl0w6tlG7w2zgL2eMk85NIY6SSaflpnNObNRu1Gm4Y8ZJdEuwxz4pIUS7l5nkYN7FUxqNjFQo4O8XnIzVZGijzIQQTcmrdQKwv6aybRMRQjSQFm9lyvA+jdq7Jdi4YPxQrEbZC0yItmA26Lj85BGN2h1mAzeeeQLJjuh7rQkhRHuTEmflxrNOxGFu/Lx++ckjsBjkfkMctGLFCqZPn05aWhoKhYL333+/QTwcDjNv3jzS0tIwGAxMnDiRLVu2NDjG6/Vy/fXXk5CQgMlk4swzz2T//v0tmmfMhgEpFAqqq6sbtTudToLBYKzSEC0oPd7OheOHMX5wD95a8ROVNW7GDOjOlGF9yEpytHV6QnR4yQ4LE4/pxeCsFN5c/hPFzmqGdE/jzNEDSbTJCGshRHS90xJZNPci3vt2M7/sLyEjwc4FE4YSZzIQF+FhRgghhBCRZSTYueHME5g+ciD/W7UJt8/P5KF9GDsgi0x57hWizaTH2zj/hGMYO7A7b6/cSIXLzeh+WZxybF/pkxJCdEi9UxN46aY/8vn6HXy/fR8Os4EZJw4jPc5CWrytrdMTTQiHg/h93xMKFqNUJaHRjkKhaL2lcmtqahg6dChXXHEFf/jDHxrFH3roIR599FFeeukl+vbty/z585kyZQrbt2/HYrEAMGfOHD766CPefPNN4uPj+etf/8oZZ5zBunXrUKlaJveYFR9PPPFEHnjgARYtWlSffDAY5IEHHuCEE06IVRqihaUn2EhPsNGvWyIeb4B4iwG1Wpa2EKKlpMfbSI+30TM5jlqvD5tJj14rSxoLIZoWZ64rMv7ljDFUu30Y9ToZKSmEEEIcoYwEOxkJdgZnpeAPBkm2W9o6JSEEkJ5gJz3BTt/0BLy+AHajAZ1O+qSEEB1XVpKDyyYdx1mjBqLTqrHLykXtntf9CS7n3YRCBfVtSmUqZtt96Ayntcp7Tps2jWnTpkWMhcNhHn/8ce68807OPfdcAF5++WWSk5N54403mDVrFk6nk+eff55XX32VyZMnA/Daa6+RkZHBF198wdSpU1skz5h9Iz/00EOMHz+efv36ceKJdcsIrly5kqqqKr766qtYpSFaic1oQCZiCdF6LEY9FqO+rdMQQnQwRr0eo14+O4QQQoiWEGeRh14h2iO7yQCmts5CCCFahk6nJlknA506Aq/7E6oq/gSEG7SHQoVUVfwJK8+2WgEymuzsbAoLCznllFPq23Q6HRMmTGD16tXMmjWLdevW4ff7GxyTlpbG4MGDWb16dYsVH2O25+PAgQPZtGkTM2bMoLi4mOrqai699FJ++eUXBg8eHKs0hBBCCCGEEEIIIYQQQgghhDgi4XAQl/Nufl94/DUKgMt5D+FwbLccLCwsBCA5OblBe3Jycn2ssLAQrVaLw+GIekxLiOlaBGlpaSxYsCCWbymEEEIIIYQQQjSL178TnaZPW6chhBBCCCGEaIf8vu8bLLXaWJhQKB+/73u0urExy+sAhULRMJtwuFHb7x3OMc3RqsXHTZs2MXjwYJRKJZs2bWry2CFDhrRmKkIIIYQQQgghxCHVeFawv+QCuiW+hUl/YlunI4QQQgghhGhnQsHiFj2upaSkpAB1sxtTU1Pr24uLi+tnQ6akpODz+aioqGgw+7G4uJixY1uuUNqqxcdhw4ZRWFhIUlISw4YNQ6FQEA43noaqUCgIBmM7/VRE5/H5ACV6rWzSLURLcnt8qNRKtGq5toQQzVPj9qFVq9BoVG2dihBCdHr+QO6v/8xp40zE0fAFAgQDIQx6bVunIoQ4BJfbi9mga+s0hBCiQ/H4AkAIvVbuddqCUpXUose1lB49epCSksKyZcsYPnw4AD6fj+XLl/Pggw8CcNxxx6HRaFi2bBkzZswAoKCggJ9//pmHHnqoxXJp1R7w7OxsEhMT6/9dtG+5RRXszCvlszW/oFIpmD5uEJlJDrol2ds6NSE6tNziSn7eU8CX63Zi0Kk564RjSIm30C3R3tapCSHauZyiCjbuymP5ht1YjDrOOnEwSXYz6fL5IYQQQkS0v6SSgtIqPlj1Mx5fgCkj+jKwRzIZSY5Dv1gIETOlFdVU1Hj4ePVWcosq6J+VzJTj+5HoMGLW69s6PSGEaLf2l1SSW1zJR6u24A8GOXVkf/pmJsq9ToxptKNQKlMJhQqJvO+jAqUyFY12VIu/t8vlYteuXfU/Z2dns3HjRuLi4sjMzGTOnDksWLCAPn360KdPHxYsWIDRaOSiiy4CwGazcdVVV/HXv/6V+Ph44uLiuOWWWzjmmGOYPHlyi+XZqsXHrKysiP8u2p/9xZXc/fxnbN5zcJ3iZT/uYPywXtw8Y8IhC5D5+8oIhcPojVoSkqytnK0QHcf+kkpuefIDdueX1bd9uuYXzjphMFeePor0RFsbZieEaM9yiiq48V+LyS2urG/7ePVWLpp8LH88aRjpMjhICCFEJ+Cp8VFaUgUKsNqMWO3GIz5XXkklz37wHZ+s2Vbf9s2GXfTNSOShP0+XgbVCtLKyYifuWj8KpYL0zPiox1XV1vLz3iJuW/gRwVBdh+2Kn/bw6udrefKmPzC0d1qsUhZCiA5lf3ElT7y7ki/X7axv+3r9Lgb1SOH+a05rd/c6nhofpaVVEA5jtZuO6j6vvVEoVJht91FV8SdAQcMCZN2+iWbbvSgULb+C1dq1a5k0aVL9zzfffDMAl112GS+99BJz587F7XYze/ZsKioqGDVqFEuXLsVisdS/5rHHHkOtVjNjxgzcbjcnn3wyL730EipVy+Ub07X/duzYwTfffENxcTGhUKhB7O67745lKuJ3vt2c3aDweMCKjbuZPnZg1A+uwv3lrFm+nY/e+p5qp5tjjuvORbMmEp9gxh5vifgaIbqKWo+H95ZvalB4POCDVT9z+tiBUnwUQkTkrHbz2tJ1DQqPB7zxxXqmHN8Xb0UtjngTjgT5HBFCCNExFeSW8/n76/jio40E/EHGTBrAuTPHktEj8YjOl1fibFB4PGBHbgmfrNnK5aeOQquVJcyFaGnl5S7Ki6p449lv2LxuLza7iekXjmLU+H6kpDeeiVNR5eGeFz6rLzwe4Pb6uffFz/jXjefIDB4hhIggu6C8QeHxgC3ZhXyzYRcXnDwMdTvZ7ik/t5zPF6/jy49/vc876df7vO5Hdp/XHukMp2HlWVzOuwmFDtZWlMpUzLZ70RlOa5X3nThxYsTtDQ9QKBTMmzePefPmRT1Gr9fzxBNP8MQTT7RChnVi9jfxueee489//jMJCQmkpKSgUCjqYwqFQoqPbSi3uJL3V26OGl+8YjNDe6cRZzU1aC/ILeep//uYtasOfuB9++VWflixnX++eJUUH0WXV1JZy5LVW6PGP/p2C8f27RbDjIQQHYWz1sNnETpPD1j643YcRQFGje8rxUchhBAdUl5OGffe+Do5e0rq2z59dy2rv9rKwy9e3ewCpMcX4P1VP0eNf/TtVqaO7E9WStwR5yyEiKwwt5zbrnoBvz8IQLXTzcL/W8KG73Yxa+5ppHZreN0VV7iocfsiniunqBJXlJgQQnRlTpebxSs2RY1/sOpnxg/rRWZy2w/eyMspY94Nr5Ob/Zv7vHfWsvqrbTzy4tV0657Qhtm1LJ3hNLT6qfh93xMKFqNUJaHRjmqVGY8djTJWbzR//nzuv/9+CgsL2bhxIxs2bKj/s379+lilISIIh8J4/YGoca8/gD8QbNReVlLVoPB4gN8f5L+Pfk5RfmVLpilEB6TA62987Rzg9voJBEJR40KIrs0b4bv3ALfXj1qj5NlHPqMoryKGWQkhhBAt4+f1exsUHg9wVtTy4aK6lXWaIxgM4fVFf671+PzNzlEIcWhF+RU89/Bn9YXH31qzfDuVZa5G7b4m7nMBAoeICyFEV+QPhprsw/f4Ak3OhoulTT9mNyg8HuAsr+Gjt76nprp593ntnUKhQqsbi954NlrdWCk8/ipmMx8rKio4//zzY/V2ohkS7AbGD+3Fa0vXRYyfdFwftEoVO/cUUVRSjcNuJDHezNpvGxceD/h5/T58Xnm4E12bXqVk7DHdWfrD9ojxKSP6AiHyi6qoqfVRVFyFw27EZjXQLbXtRykJIdqOTqNizKAsVm3KjhifNLw3L971Ifv3luHx+fH5fGi12gbHVDprqXDWUlruwm4zEucwEW83RTxfZ1ReUUNZZQ0VlTUkxJlx2E04bJ1nfwkhhOjIKitqWPF59FmKa5b/wlkXjcZiMxz2OU0GLVOO78vyjbsjxk8c0hOrSd+graDIiavWS1FJFXabEXuU+/BAIEhpRQ0lpdV4fQHSkm3YbUaMBm2jYzuKapeHCmctRSVVmE06EuLMJMSZG6xSJcTh8Hr8bNuUGzX+46qdDBia2aAtLcGKSqUkGGw8GNdm1mMx6lizPpvUJCsGvQqL2UhNrY+yihqcVbUkJVhx2OqenYUQoqNyOt04XW6KSqoIBkOkJtsw6DUkJVgjHp9gM3HyiL58vzUnYnz8sF44LG3/zF9e6mLlsibu8775hekXjMJkkc/wzi5mxcfzzz+fpUuXcu2118bqLcVhMur1nDNhCJ+u2UZZVW2DWEaSnbGDujPvkY9Zv/ngB9vEMX0ZnBi9OKJSK+WhRXR5QY+fK6eN5NvN2Y2WlOmXmURWop2qai//fHopa3/aVx/LSHMw//az6ZnZeZYgEEI0T3KcldnnjGPtL7l4fjeLY2jvNGwaLfv3lqFUKthfUInLF6BnZiIGgwaA4tIq/vHoEjZu3V//uh6ZCTxwx9mkd4HBDflFlfxtwfvs3ndwpOUx/dO456/TSU6M/CAnhBAidtQaJTq9Jmpcq1NzJI+Tg3qk0LtbArv2lzZot5r0zDx1BA7LwUEo+YWVPPLMMn7YuLe+LT3Fzv13nE2vrINLvvp8ATZt289dD32Iq8YLgEqpYOb5o/nD6cdh74DFj7KKGp5+6RuWLj+4RURCnJmH7voDvbsnyrO8aBaFQoFSpSQUoZAIoDM0vtZNBi2XTzue5z/+vlFszvkTePfDdbz/6U9oNSr+NHM840f25q/3vUNu/sEVP0YO787tfzmVRNnyRwjRARWXVrFpWx4PPfU5bk/dBB61WslVF47jpBMGkJYceXuV4/tnkpXiYF9hwxWQHBYDMyYNxWrStXruh6JWKdHqot/nabRqudfoIlp12dV///vf9X969+7NXXfdxeWXX84j/8/eXYdJWa4PHP++0z2z3SyNSIOgiC2oqCCiooiN3a0c9djddX62mIidYKGAjUpYqMQSm2xP9/z+WFlYd2aprdm9P9fldc4+zxv3DPvsG/cT99/fpO6RRx5pyzDEdijMSuGpq6dxzAFDSbWZyHBYOOWwPXj00qm888GyJolHgK9+WEWfwXkJjzfu4N0xWTv+j50QHcmRZmHdsmKeufp4jhi7Ow6LkZw0G2dPHsstpx1KxBXgyZcWN0k8AmwsreXa299u8mAlhOh+clJszL7uRA4dMwC7xUBeup0Lpo7jP9MP4uZzXgRg9H4D+GHFOq685U0qa1wAuD1+7n/y8yaJR4CiDVXMuvNdqms97f5Z2lNtnYcb7n6vSeIR4Nc/S7nnf5/gdPk7KDIhhBCbWSxGDps6KmH9IVNGkpXn2OHjFmSmcN/5kznzyD3JSrXisBiZNG4Qz15zPPlbjSKorvXw7JyvmyQeAUrK67jmtrcpLq1pLKuocnLlLW81Jh4BItEYs+d+x/Lf4o886MxC4QjvzFvaJPEIUFXj5pIb5lJR5eygyESyMpkNjN1/QML6Mfv2b1aW6bBy1D6DuevcI9mtMBOb2cCIfnk8ftkx4Ivw7vwVAARDER577ktKKup56p4TmhxjybJ1PPnSYnx+WR9SCJF86up93PLAh42JR4BwOMqTL33F+uLqhPsVZDp46OKjOW3iaDJTLKTaTEzdbyhPX3N8p1nX2pZiYuIxeySsP/ToUWTlxk+uiq6lTUc+Pvjgg01+tlgsLFq0iEWLFjUpVxSFiy++uC1DEduhMDuV848ax4njRwKQ4TBRscnNW/Oar8kZicZY+ONqTr1wPC889nmTuvQsGyefdxCp0vtMdHMmk4FBIwu569o3GH/0CI49ZzCRcJTvP/6N937+mmln7scnC3+Pu29ZRT3VtW4Kcrv+CCUhRHxWiwGrxcClx+5LvWs0rnofX32wnAtmfQhAaoaVI2fsxfUPfojXF+TP1eX0yEultt7Hdz/Fn3KuaEMVtXUe0lI6fiqWtlJb7+XvtZvi1i1Zto46pxeb1RC3XgghRPsp6JXBvhMG8dVnTe+H++2ey36HDEaj2bnXFfmZDk49fDQT9xoINIx63HrEIzRMObrg6/hLI1RUOtlU5SY/t+EF3udf/Rl3akiA5+d+y7BBBUk1rXdNrYc3Pmz+jA8N38vqokqyM+SFoNh+aZlWTr14An/+Vkz1JleTutMuGo/JHP++KzfdTm66nd16ZBKNRqmt8/LQE5+zel3zNcLmvLOEqy88pFn551/9yeknjCMvO3mnQBZCdD8+X4B3P15OouUZX3nrB3r1SCc7waw9BZkOTj9iTyaPG0yUGA6LAYelc92LFPRKZ9z43fnm86adnfoPymOfg3ff6fs8kVza9F+5qCj+OkWi87Jbjdi3mm/Z568lGo3/l/C9z37hf7edwEN7nc28N3+kvtbL6H36M2LPPuQVprVXyEJ0ajn5qVxzx7H8+etG3npiEUaTjsOOHkVmroM6X4BIgvYFsKnKlbBOCNF9fLzgD8aP7UdErSYUjLLn/gMYOLKQgn5Z3PPM53j/mdZ5Q0lD70ifL5jwIQag7l9TrHc1LnfLIxu9PukdL4QQnUFOfipnXHIIE4/Zg4/f+ZlQMMKBhw+l72455OTvWs99o07XYu9/fyCUMKEIUF5ZD0A0GmVNnETIZmUV9YRDkZ0PtAMEQ+EWr4XFMvuK2Ak9emVwzzNn8PN3a/j521U4Us1MnLoHjjQzWbmOFvfNz3RQvqmeJ55fFDfxCFC2qZ5AINysPBKJ4t9q1JAQQiQDjz9ESXldwvqyTfUEg83/5m3NbNBh7sQdL3IL0jjz0kM5/Jg9+OTdpYRDDfd5fXbLJaegc4zQFG2v3VPMwWCQoqIi+vTpIxnuJGAy6tBp1QQTPFBp9Bp265dDn91yCPojmGWqVSGaye2RRm6PNMYeMBC1Vo1O1/C3L1hcjU6nSXhDkZftaMcohRCdVf8+mUy78Dnm/G8mgTQ9uhQdn65Yy6p3v2+6Xe8sAMwmHWq1KuFL1bQUS5vH3JEcLYw+UakULJ1gDQwhhBANcgpSySlIZfCInkRiUYzG9nmJZjRoMei1+APxkxYFeQ0vxVQqFcN2z2fRd3/H3a53YTo6fXK919DrtDjsJurq43dG6tsrs50jEl1FXmE6eYXpHHzEcHQGNVrt9rcNs1lP316Z/PZXadz63oUZmAzN/z7odRpM7fR3QwghWovFrKNf78xmy5xt1rtHOgZdct1fxLP5Pm/IyF7tep8nOo82XfNxa16vl5kzZ2IymRg0aBAbNjQ0rosvvpi77rqrvcIQO8hmNXDE+CFx6wb2y24cJanVaiTxKMQ2GM36xsQjgMNmZPKEoXG3HdAnq8UX6EKI7qNXjwwy061kpJkZ0Cebjxf+waqiptOKZqZb6V2YAUBqipnDDxoc91gjBxeQ6ujaf1scdhNjRvSKW3fo/oNIdXTdKWeFECJZ6Qyadn0h5bCbOOqwYXHr+vbKbHKtGDemT8Lkxtkn7ddk5qBkkJ5q4fTj945bl51po3AXR50KYbbqdyjxCGA1G5gycTgaTfPXlCqVwoypY1BoPmL3mCNGdunlBIQQXZNBp+OIg4c0eUe4maLAKdPGkplgytVk1N73eaLzaLfk46xZs1ixYgULFy7EYNgy3/v48eOZO3due4UhdlCqw8z0KaOZfOiwxptARYE9R/Tkv5cfSa6MzBJip9ltJqZNHsWUw4aj1agby0cP78lNV0ySkY9CCKAhsfjwLcdz8Q1vMHZUL844YRxGg7axfvd+Odz332PJz2lYI9Zo0DFz+jgmHzIUtXrLtXvfPfty3aVHYLd17eSj3Wrk2gsO5YCx/VGpFADUKoUjDh7M2SfvK73jhUgS9cF1HR2C6MLsViPHHD6CY44Y0eQ+fNTQQm69anKT+/DsDDuP3n5Ck6SczWrghkuPoH/v5BslqFIpHDRuAGfN2AeDfsv9xODdcnnw5mlkpFk7MDrRnaXajNxz/TFkZ2554Z6WYubWq48i1WHijse+aCzXatQcN2kUx0/eI+7LeyGE6OxSUkzc999jmrxbT3WYuenKSWSmdZ3Eo+je2u0K/e677zJ37lz22msvFEVpLN99991Zs2ZNe4UhdkJOloOZJ+zNcUeOxO0NYjJqMRt0ZGXKIvRC7KqcLAdnnLA3xxwxErc3gNGgxWLSk9WFejgJIXZdfm4K91x/DHVOL0cfNoyD9tkNt8ePXqfBbNKRk+Vosn1aqoWLzjiIGVP3xOMNYDTqcNhM3WbK0Yx0K9dedBjnnLIfPl8Qk1FHaooZY5zpuoQQnU+Zdwmfl1zM+LxHyTGN7uhwRBeVk+XglOPGMuWwEY334Wajjux/PeeqVAr9e2fxyG0nUO/0EY5EsVsNpKVYGjv5JBuH3cT0KaOZsP/uuN1+dDoNDrsp6UZxiq4lJcXC6BQLD9w0DY83QCwaw2LWk55qRKfTc9MVk6hzevH7Q5hNetJSzOi3SqALIUQycVhNjBjcg/tvPBa3J0A0GsVqMZKRasVgkE4Vomtot9/kyspKMjOb9wr0eDxNkpGibdXVeXG6fPyxspSqKheDds8jK9NGbm5Kk+1qql24nX7++LWYmkoXg4f3ID3LxuABuR0UuRDJo6ysDo83wM/L1qPRqBm7Ry+c9T6W/1iE0aRj+B49MRo0ZOY29J5OcZhJkWkAheiyKkpq8PlCLPuxiFAwwogxvbDYjHj8QX5eth5FgVEjemIy6chpYcSz3WbEbmt4KejYjr8ZBoO2W89QYDbpMZu6R7JViK7GHSr753/jr/0luqeSjdWUbqxh1coycgpS6Tsgm/RM2y5N45XqMG/3dNw7sm0y0Go15GTaQToVi51QWVaD1xdm+U/r8HmDDN+jJyaLgY1l1fQoyKBgF6bvLfjX+6nNrBYDVoshbp0QQiSrzTMYbVZT62ZtkZPf/ighNcXMnqN7UVfvY9XqCkpKa+nfL4seuSkEfGGW/bi2yTuGnLz4fz9bUrupnooN1fzxw2pSsmwM3KMPqTkOdNK5Q7SCdks+jh49mo8++oiLLroIoDHh+PTTTzN27Nj2CqNbq6v38vfqcm64+R2CwXBjeb++Wdx43VHk/XODV1vj4u/fS7lt1huEgpHG7QbsnsusO44hJ0/WgBAikbLyOt54+0feeX8pAC89fSZPPfgp3y3+q3EblUrhvCsOY89x/cjaiRsDIUTyKC+uYcHHv/LikwublE84YhjHnrI3Tzz9ZWPZtGPHcNSRI8jNcbRvkEII0UUEQ6vQaft1dBiiDWxcX8V/L32V0uLaxjKzRc9tD8+g38BstFp5QSZEe6koreWHr1fzf/d/TDQaaywfu/8Azrx4Ahdf8Qr33DGNvn2yOjBKIYRIPpVVLm6+/V1+/6OhA967b1zAxuIarr7uDTyeAACP3HsiX8z/lZeeWkhsy59gxh8+lJPOPmCHEpBVpbXcfvoTrFyyZVZKrU7Df1+5kGH7DpAEpNhlbT5HyPLlywG46667uO666zjvvPMIh8M8/PDDTJgwgdmzZ3P77be3dRgCcDp9zRKPAKtWV/DCy99QW+sBwOX0c9u1TROPAH/9Ucrc2d9QV+Nut5iFSDZFRZWNicdTZ+zNkq//bpJ4BIhGYzx+73ycTl9HhCiEaEdVla5miUeAzz5awdq/yjlk/KDGstffXEJJSW2zbYUQQmyb17+Y9RX74/V/1dGhiFZWXlrHo3d+1CTxCOBxB7j5qrlUlDo7KDIhuien08fj985vkngE+G7RXyz5ZhWTjxzOzbe/R3FJTQdFKIQQyScYDPPaGz80Jh4BnM4g19/0dmPiMT8/BSUa48UnmyYeAT6f9wt//LJx+88XCPHmo580STwChIJhbj7xUarL6nb6swixWZsnH0eOHMmoUaNYvnw58+bNw+v10qdPHz799FOysrL47rvvGDVqVFuHIYA//yprlnjcbOHiP3G5/QD8unQ9oVAk7nZfzP8Fl9PfZjEKkcwqq5y89e7PjT/vt3d/3n/9x4Tbf/bRivYISwjRQVxODx+8+VPC+nde+4GpR45sUvb2ez9RLZ18hBBih4UiG//53w0dHIlobT5PgBU/r4tbV1fjoapSko9CtKdPP1iesO6D15ew39j+FJfU4v7nZbkQQohtq63zMG/+L40/nzR9DJVVLmrrvI1lF5x1EB++lfg94ztzvqdsOzs0121yMv/FxXHrwqEIv37z93ZGLkRibZ58/Oabbxg5ciTXXnsthxxyCJFIhEceeYQ//viDl19+mSFDhuzwMRcvXsykSZPIzc1FURTefffdFrd/++23mTBhAhkZGdhsNsaOHcsnn3yyk58oeVVVuxLWhUKRxoRjdWXi7QKBMJFItNVjE6IrCAYj1NZ5Gn9WqxTqaj0Jt6+udBEOx0/0CyGSX8AXprY6cSKxrsaDRt30Vqy2zpuwo5AQQgjRHQUCoRbr62u9LdYLIVpPMBimprKF+9taD+p/7m/9/pbbrhBCiC0i4Sj+re55Rg7vSX1903scg0FLTVXL7xgi2/meMRKOEPAGE9ZXlcqsTGLXtXnycezYsTz99NOUl5fzf//3fxQXFzNhwgT69OnD7bffTnFx8Q4f0+PxMGzYMB577LHt2n7x4sVMmDCBefPm8fPPP3PggQcyadIkli1btsPnTma7D8xj5IhCXn7mTJ577DT+774TefHJmTz+4ElkZdrQ6dQADB7eI+ExcgtSG7cTQjRlMesYOriAi84fz8tPzURRFHYfVpBw+5F79kajkfYkRFfgcvnZuK6KP38tZt2qCirL6nCkmRm2R8+E+wwaVkB1XdMOCsOGFGAx69o4WiGEEKLzKCuuYfXKUv7+vYSS9VXN6s1WA6YWro35hWltGZ4Q3VZlWR3rV1fw56/FbCyqxFXnQ6fTMGLP3gn3GTi0ALc7gEql4LCb2jFaIYRITrXVbjas3UQkHKEgP7Wx/MGHP2/yM8Dfq8sZvkevhMcaNLwAs9XQ+HNVhZP1azbx56/FbFhbiXOrUZQGs578ftkJjzV4rKyjLnadpr1OZDQaOfXUUzn11FNZs2YNzz//PE8++SQ33XRTY2Jwe02cOJGJEydu9/YPPfRQk5/vuOMO3nvvPT744ANGjBix3cdJdgV5qVx23ngeu+0Dln3fMJ+zyaLn+Jn78eCdx5OeZQUgOzeF3v2zWPt3RbNjnHHBQWRk29o1biGShaKomHH8GIrXVnP9BS/hdvq48vZjWLZkLdFI08nY0zKsDBuV+IZBCJE8yotrWPjJb7z+3GK87obppUbs1YcLZh3JAYcM5t3XfsBZ33SNV61OzbRTx3HNjW81lplMOg4/bCgobd43TAghhOhwbref4rWVPHTze6xb3fDsmZFt5/xrj6Dv7rlkZNkBcKSYOP7UfXn+fwuaHWPsfgMwWQzNyoUQu6Z0YzVP3jOPJV+tIhaLYTDqOPqksRx69CiGj+5FWoa12axZKrXCKWcfwP3/9xkTDx2CyajtoOiFEKLzi4QjrP27nPtueJv1qzfRo3cGJ513IHfe35Aj2Vhag8mkZ9zYfnzz3SoA/u/phbz45EzemfN983cMWjXHn7pPY/KxbGMNzzz0Cd99sZJoNIbeoOWI40Yz+YQ9yc5PJSXTzjl3HM8Nxz3cLLZeu+eT1zerjb8B0R10yNutPn36cO2113Lddddhs9nafQrUaDSKy+UiNTU14TaBQACn09nkv2QX8AS46aJXGhOPAF53gOcf/owfFv9FKNQwnarZpuaGu6Zx8OFD0WobRmXl5KVw3Z3H0m+3HCpamEZSiI7QWdqr1WrAVevjhgteomxjDa56Hx+9voT/3HYMvfs1XLRVKoU99+3PnY+dTHqWmWg0to2jCtG1dJb22loCgTDfLfyT2Y981ph4BFj2/RpuuuQVNGoV9/zfqYwY0wtFaagbsHsu9/zfqaxdX03VP9OyDhtSwIP3TCc1xYxVXqKKTqKrtVchurJkbK81m1xce/bsxsQjQGV5PbdePofqii3xl9S62P+QQZx3xWGkpJkBMJp0HD19L865/FBq65qPlhSiM+vs7bVsYw13XDmXHxb/TSzW8Lzq9wWZ8/QiPn9/GSlpFu56/GT23Kc/KlXDDW7v/lnc+djJbCirZeyYvsw4YSzyqCu6gs7eXkXyqiir48oznmX96k0AbFhbyR/fr+XqSw4lN8cBwFPPfsEF5x7EsUfvgdHYMAvEB58s554nTmXknr2bvmN44lQcKUacHj/lJTXcd8PbfPP5H43vHQP+EG+/9C3vvfYDdTUN7yF2H9OHm+dcRE7PDAC0Og2HzBjHzXMvJi3b0X5fhuiy2m3k42aLFi3iueee46233kKtVjNt2jRmzpzZrjHcf//9eDwepk2blnCbO++8k5tvvrkdo2p7ZcW1FMeZxgbgtacXsce4fpgK9Xy+fD179LQz86KDmX76PoTDUbQ6DVk5Nva58HHeuf30do5ciJZ1lvbqrPPw9kvfNlnHccniv9mwppLDp43m3MsOJS3Tit6gRaOL8uAbXzPr5PEdGLEQ7a+ztNfWUllWx9xn4y/SXryuipIN1fQbnMVl103CHwgT+6fHoSPVQEqGleeePANFUdAbNNgsWjzeEFarsZ0/hRDxdbX2KkRXlmztNRgM88VHy/H7mq81FI3GePWpL7nohqPIyLKj12mYdMPzLH7kAvYY24dgKIJWq8ZqN/LZZ/PoNXjPDvgEQuy8zt5ea6pcrP6zLG7d2y9/y/4Th2B1aLjw6on4/eOJRKLoDVpUGhWp2TbG7tWHr79bzfgDB7Vz5EK0vs7eXkVyikSiLPhwBQFf07VxP37rJ/5csZHzLjyYHn0z0WhUrCvaxIwT9mLSEcMb3tFr1aSlmrn0ukn4/aHGdwwpaUZOvWMu/3flcTjrfPy+bH3cc3/0+hImHjMKR6oFs83EnocNo9+IQnzuABqtGkeGDb1RloIRraNdko8bN25k9uzZzJ49m6KiIvbee28effRRpk2bhtlsbo8QGs2ZM4ebbrqJ9957j8zMzITbzZo1i8svv7zxZ6fTSUFB4rXbksHqlaUJ6+pqPAQDYQBG71bAMdc/TyxOL7VD99wNh0VeiorOpbO0V48rwOqVzR/Syktqee7BT+k7MJf/3DuNidc9C8CL189o7xCF6HCdpb22lmAwTF1N4hkBVq8sZcgehRx42aPN6q464QB+/bqIDRtrmHjoEA4+cHcyM2Rqc9F5dLX2KkRXlmzt1eP289dvJQnr1/xVjv+fF3IOi5EBPTLZ7+LHm21nNuiYe5CjrcIUok109va6fs2mhHVedwC/N8jRt70Ut/6MiWM4dEQ/9t27f+NMWkIks87eXkVyCgbC/LZ0Xdy6dasrePKuj3jo5XNIy7BisRhYtbqCl175Bq8vxPTTxnH0TbPj7nvdKRNItZn4tXhN3PrN59561iaA1CwHyCyrog20efJxwoQJfPnll2RkZHDKKadwxhlnMGDAgLY+bVxz585l5syZvPHGG4wf3/JoI71ej16vb6fI2kZ1RT0+XxCNRk12fio5BYmnmdUbtY03hhkOMzecegi3zP60yTY5aTYuOHocJoP0fhCdS2dor+FwGK1BQ2aOrcnUUVvLzLFj+Kf9nDZxNHnp9vYMUYhOoTO0111RtrGaSCSK0aglLcuBVqtGb9Q267G4WU5+KuFwuFn5mN17cNCo/kwYNQAFsNtNjdNWCdFZJHt7FaI76YzttbK8joA/1DCLTm5KkzqTUU9WriPhvhlZ9sbn0xSriVtmHsbZ97xOvcffuI1GreLu844k3d6+HZqF2FWdsb1WlNQSDIaxWLVk/jPdXzwajRq9Qcuph43mhY9/bFI3qFc2Uw8YSnaadKYTXUdnbK8i+Wl1anIL0lixpKhZ3fMfn49Obcbn8VMWCJKTn8aoET0Z0C+bQCBMTA1H7zeEdxb/2mS/MQN7sO/QXgCkplsTnlulUjCamv5OB3wB3HUeNFoN9nT5Gy5aT5snH41GI2+99RZHHnkkanXH9XqaM2cOZ5xxBnPmzOGII47osDjaQ1VZLbU1Xl596ktW/V5CaoaNY04dR5/dcjFbDXhc/mb7HHLUSOypJgCMeh0H79Gfwb1z+PiHPymvcbL/8D4M7pVDVmriP15CdFdlG6v5+rPfqayoZ+op+7Dkq1Vxtzv6pL1R66K8/N8Z5KbZsJllXTchkkVZcQ0rl2/gnZe+pbbaxW5DCzjhrANIz7JxyOQRfDB3SbN9LFYDvfpnEwjDC9edyIff/k4wFOHwsQPpmZ1KmrwsFUII0QVtKq2mssLNq099yfpVFWTlpjBt5n706J1BTkEa0ND59YjjRvPJO0sb15Tb2rGn7UN23paEZe/cNF6+4SR+/HMDP/65gb556Rw4sh/ZqVY0GhldJcTOKi+uoXRjNa89vYiS9dUU9ErnwhuOIjXdQk2Vu9n2+x06GIvdyCmH7cEhYwbw0bd/4PIFOGzMAHrnpZPhsHTApxBCiOSi0aiZfMKefPz2z03ug+YsuIq6Gi8vPvsxv/5chM1h5qgZezF0dG9y8lOx/PMn9oKp+zBl3yEJ3zGkZljJynNQUVLX7Nxj9huAydyQfAyHwpSuqWDu3e+y9PNfsKfbmHbVZEYcPISULEdbfw2iG2jz5OP777/f6sd0u92sXr268eeioiKWL19OamoqPXr0YNasWZSUlPDiiy8CDYnHU045hYcffpi99tqL8vJyoCExard3vZFHG9dXc925LxCNRAGoqnBy51Vzue/Fs7jt8ZO56dJXqd9qirjR+/TnmJPHYdvqJajZoKN3bhrnHz2u3eMXIpmUbKji7qtf5+/fG6aNmjx9L8687FCef/QzIuGGNqjRqJl52SFk5dix2+1d8u+OEF1Z2cZqXn9uMfPf/Kmx7OvPfue7L1dy51OnM/WUcZQV1/LTN1s6HthTzdz08AzSsuwYjVocViODemV3RPhCCNHlVAc2kqaXKc86I7/fz5+/lnLnVXMbX6ZVVTi58cKXOO3iCYyfNJz0bAcAKakWLr/laB697f3GJUBUKoXjTt+XfgNzmxxXURRy0m1M3mcwk/cZ3K6fSYiuqq6qnh+/+pvH7/igsax6k5Mli/7k5sdO5qaLX6Z6k6uxbujonpx8/kGkpjV0Srf/MyWyEEKIHWex6Dn/mok8/eCnBANh3v5uFhvXVHPV6c803hdVVTh58L/vsO+EwZxx+aHk5DfMauiwGHFYEr9jyOuRxo0PzeDmS16horSusXy3IfmcfeVhZGQ3vJdc/3sxF+99HUF/wxrcVSU13HnSIxw0fR/Of/h0GQUpdlm7rPnY2n766ScOPPDAxp83z7196qmnMnv2bMrKytiwYUNj/ZNPPkk4HOaCCy7gggsuaCzfvH1XUrK+mhce+aQx8bi1K095mpcXXMP9s8+ksqyeuhoPBb3TsViNTXqVCiG235q1ZY2JR4AzJz3EY69fwBP7X8j6NZtQFOjROxODSUdGliQdhUhGPm+Qr774HZ1ORzAYbCyPhKP8310f8t+HZnDhdZNwu3xsXFuFI9VMRo6drFw7Wq22AyMXQoiup8i9jNc2XMf0HneQopXlIDqbqnIX/7vzg8bE49ajp175vy8YN35Q47bp2XZG7d2Xx+eeT/H6KoKBML36ZWE0asnIkedTIdqayxXk2Qc/AcCSasRd4wPgqXvnc841h3P302dQtclJbZWLvMJ0bHYj2fmJl/MRQgix/X7/5i9+eONbZt0yBac7QH2Nn6fund+YeNzaV5/9xrGn79OYfNwevftnc8cTp1Fd6aSqwklejzRsKabGY7hq3Pzv0ucaE49b+2LO10y7arIkH8UuS8rk4wEHHBB3apbN/p1QXLhwYdsG1EmUrt2Eu87DKWcfSGq2Hb1Rx0WnPNl4Awnw4+K/mHjsaPIL0zswUiGSX8naCpw1HqyKhiffvACtXsO5x/wfwWCQC6c9DsDBk4dz6kUTyPynd7cQIvlUldehVSlcf+uxaPUa7OkWSoprufHClwEo+rsCrzdInwE5QAp9d8tt+YBCCCF2SX2oYW3tulA5KdoeHRyN+DdXvY/0LDsPvnAWfneA2kontlQzJpuROc8upmxjDQW9Mhq3T023kppubVImhGgfBpOGx+acg7PaQ8AXJC3HgVqrZubkh3ny7nn02z2P4WN6d3SYQgjR5fi9AT55aTFLF/zGj5+swOIw8eBXt/D7svUJ91ny1d8MGLJjM3/kFaaRV5gWt85d5+GXxSsTn+/j5fQZ3rCGpNfppabSSV2li0g4SmqWHZPNSJoMshDbkJTJR9Fc0e/F3HbGE5Ss2QQ0TEuz/9F78OiL53DRCf/D7W7oxaDVyz+5ELvC5/Ox/o8ybj/jKSpLagBQqVUcfuq+PPXO+Zx2xEON2674oYjgWc17LAkhkkP5+ioWvPE9rz0wj1CwoS3b0yxc/cRMHn7lHC6Z8SQAarWqI8MUQgghOg2jScV1d0/jsStf4ecv/2gs7zusB9c+eSZyZyxEx4vFYrjrPVSur+H2M56kurwOALVGzaSZBzD7w0s57ciH5B5XCCHaiEqlQqvb8o7eXedFURqmn49G4w+40rXyO31FpaBSqYhGm8+eCKAzNMziVFNex58/F/HAxS/grvcCoDfqOO36oxk7cRjZPWSAk0hM7iS6gJK1m7j++EcaE4/QcDO58O0fee+pL3j4tfMBUGtU9B+U11FhCtElVJfUc91xDzcmHgGikSgfPreIr99fysOvnttYfvCk4aRnWDoiTCFEK/h7+Tpeuuv9xsQjQH21m5tmPI5Bp0Gn0zF4VE+MJplaVQghhAAwm4w8c9ObTRKPAKtXbOD2mU+hk2SGEB2usqSGuio31017qDHxCBAJR3j3yQUs+exX7nvxTKx2Y8cFKYQQXZjOoGXyOeOblBkMWsbsNyDhPmP2TVy3M2xpVsZO3iNh/ejDRgBQW+XitjOebEw8AgR8QZ68bm6TXIQQ8cgwuCTkrvPgqvWgN+pJzbZTuraiyQ3j1ua/9BVHnLYfAOdcfThGo7wgFWJnBQIB/vhxLR6nj75DezD1vPEYTHr+WlrEG49+ypuPf8pehw0DoKBXBocePQqD2dDBUQshtoezxo3bHSAty0ptuRMU+OOH1XG3DQXDLHznRx5+7RyikSgWu76doxVCiOSwuq6avo74Uz2J5LWppIZojLhrv3ldfr6btxyTzcBJV00ipzCdukoXr9z/EUW/F+Ou88Y5ohCiPXhcPpy1XhxpFpyry7nw3hN549FPWfdHSZPtXn/4Y+5+9woy8xwdE6gQQnQDfYYWsvekUXz7wc8AqPUxTr/0EP78dSN11Z4m204/+wBMpuZrnW8qrSUaiZKeY0ejiZ/mcdd78XsCWBwmDKYt7y5MViNn3XMyg6b35LBDjsBV7UJn1GGy63nngfmk5qTgcweYN3sR0Uj80ZFzH55PQb8sMvPlfl/EJ8nHJOKud1NT7uSj5xbx+/erSMmyc/T5E0jNTLz4a8AbJOAL8dAr55KSbiEjJ6UdIxaia6gorqGipJaMPAfr/yrhrrcvw+vy88EzX+Kq9TBi/93436IbeP7Wt4lGolx689EMGdWL3B5y8RWis6ssq6O20sWiecs5ZMooPnr2Zxa9/SNqjZoJJ+7Nowuu47ppD+OsdjfZb8NfZeTkpxKNhakuqcfcz9xBn0AIITqnr0vWMePj13ll4vHsk1vY0eGIVlC6vppff1jDp2/+SCQSYf8jhrPnwbuTW7hlui2Py89xFx/GvpNG8t5TC/jite/I6pnOtU+eycZVZQk7zQoh2o6zzkNdlZs/l69nwOB8XnpqAb989Sf2dCunXzcFjVbDddMebty+qqyOWCyGViud14UQoq2kZNm5+OHTOPLMg/jgqQXcf8az/Hfuxdw/+2y+/eIPln6/GnuKmSOmjSEj205W3pZOX6UbqvltyVo+fWMJoVCE/Q4fxtgJg5rck9VuclK6toK3H/+Mig1V9Bnagynnjie7ZwZGc0MSMiXXxl7RfXjt/o9YsWgltjQLR507noNO2heL3UR1RR3FayoSfobStZsI+kNt9yWJpCfJxyRSsqaSaybfh98TaCz78bNfOeGKw7nsoZN58NKXmu1jshrRG3X07ZfdnqEK0WVUltWyeN4KnrtnHjOvPYLxx43lvScX8PFLXzVus3rFeua/+DV3v38FWoOWw6YmnrZACNF5uOq8/PHzOu6+7FX+9/4l3HrK/yheVd5Y/8cPqxk4uje3vXYxF0+4o8m+fYYUoNGqOL7/LP5v8Y3tHboQQnR6G931Df/rqgMk+ZjsStdXce+Vr/HnsvWNZX+t2Mi8177n5qfPaHzZlZ7rYNCefblk/B1EwhEAVv+ygW/eX8rFD55Mj/45HRK/EN1ZSVEVj1z/JpfffiyXHXonXqevse7nL37nqLMP5tqnzuKus58GILswHUUlUyQLIURbS8myMyprCEP33Y1oJIperyevp56jT9mbgyePwGDQYrI0nVGtdH0VD1z7Or//WNRY9vcvG5n/2vfc8uxMcgvTcdd7+erdn/jfNa82brP6lw0smPsdt715KcP3GwhA+dpqrjriHjxbXReWfvkHR5xxAMddfCiODCu9ds9nxVd/xY2/x4Ac9MbmIzKF2EzuJpJE2fpK/nf1q00Sj5vNfWA+fYcVoopzczj5rANJyUo8MlII0TKfJ8js+z8GYM5jCwgGQk0Sj5u56zy8cNu76A1y0RUiWdTXunnsv28zcfqefPvh0iaJx81W/riWjX+XMWyr9RX0Jh37TBrJkdnnc+yFh5CWbW/PsIUQQoh29+fyDU0Sj5sVr61k0YfLCQQanlNDgTCPXv5SY+Jxa0/+Zy7RaPxpu4QQbaNsQzWP3/QOJ100gWf++0aTxONm7z21gLzeGegMDSMdT7ziCPJ6Z7Z3qEII0W1p9Vr0W02JqtFoSE23Nks8Aqz+raRJ4nGzknVVLHhnKT5fkLpN9Tx9w+vNtgmHIjx8yYuUr69k08ZqnrnxjSaJx80+em4h7jovBpOBw07aB60u/vi16ZcfTmq2Ywc+qehuJPmYJAKeAH/93PwPC0AsFmPlj2s44vT9G8s0WjWTzjyQw2bsg8Vmaq8whehy1vxR2ji3+b5HDOP7+csTbvvT57/GvWgLITqn+hovbqePsQcNZOFbSxJu9/lr33HI9L2Bhp7gt79+CfZ0E8dccAiHnbwvao26vUIWQggh2l3NJhefv/1TwvqFHyyjqswJgLvWS2VxTdztAr4gmzZWt0mMQoj4/N4ga34vISvXwYqv/ky43dIv/2DfKXtwyqyjGDpuQMLthBBCdJy6ajefvfVjwvqFHyyjpqKe4tUVhILhuNuUravEXefF7wuy7MuVCY+15NNfCIfD2DMs3DLnQtJztyzlZnGYuPKx00jPS6W+yrXzH0h0eTLtapKIxbZRH41xwmUTOeykcfi8AWwOC9YUEymZMhpDiF1hSzFisRtx1/saemu00BYb2uk2GqsQotPQaDf3wVJa3jAWY+AevXn4s/9gsRnJKEihurSeU66dhN6ob3lfIYQQIsnFaHm0YsM9sPLPtts4lgx8FKKdbf/z6RnXTUGt1eBIt7ZhPEIIIdpKjNg2cwiwJc8Qa2HjzVX3n/c8/3nhbO5653LcdV6ikSi2VDP2dDP17nosKTLjokhMko9JwmDR039ET/5eti5u/ZC9+5OW7SBtB4c6lxZtorKklrW/biCrRzo9BuSQmmvDZJLRkqJ7K1lTQWnRJkqLKjlv1pHEVAqvP7WQS2+dypz7P4q7zx7jB2MwSSJCiM6sdO0mKjZWs+6PYvL6ZPOfh2fw9+/F7Hf0aF6+6/24+xx8wlhye2c1KcvpmbFT568qq6WsqJINf5eR1zuLvL6ZZOSmbntHIYQQooOkZdo5aMooln2zKm79/kcOJz2nIVlhsZtIz02hqrS22XY6g5asHmltGitARUk1AXeAlT+uxe8NMHivfpjsJnL+WZdSiO7EYNLRe2AulWX1DB03gF++ib9u16iDB5OWkxK3TgghRPup9nipqHfxa2kFaWYTu2VnkGW1oNWocaRZOPjoUfy0OP7f8v2PGN6wLEw4gkarJhxqPg1+dmE6FocJtVrFiP0HsmxR/NGPYw4Zikaj4fDT9mdq3sVN6p759SbcdX5clQF+/GARKVl2+gzpgT3FjE06sIitSPIxSaRmOzj/nhO5ZvJ9BHzBJnXHXnQoRqtxh49ZsqaCW0/5P9atLGksszhM3Pr6JRTuni0JSNFtrfujhBumP0KPvtlk5KVSWVLDxtUVXPLwqXjcAcZP35vP53zbZB+zzcjpN04lI0+SCEJ0VsWry7npxMcoXl0BQFqOg7GHD+fIMw5ArVHz5Rs/ULKmosk+/Uf2YvcxfVvl/KVrNzFr6oNUbKhqLEvLcXDXO5dT0D+nVc4hhBBCtIXdRxbSf2gBoWCYicePQa1W88X7S6mtdHPg5BHo9Q0d8LIKU7n4wZO56cTHGpcu2Ozs26ZhsjVfu6g1lW2o4ufPf+N/18xpcv7xJ4xlxjWTyCncuc5DQiSTgC+A3xvEnmYlp0c65980hSdve4+Lb5/GVUfeg88daLL9kWccgMW24++UhBBCtK5NTjdXvz2f74uKG8sMWg3/d+JR7FGYh1atpv/QAgaOKGTlv9bizumRxoRj9sBo1GHPsHLGTcfy1HVzm2yj1qi56IGTGztTn3XrNK484m68Ln+T7Q47dV+sKQ15gQGjejF4bD9++66hE9qsd09GE9HzwEWz+eWbvxv30Rt13PDCeew2ujfRcASzw4RaLUvUdHeSfOzkKoqrcVa5mPfcIvL6Z/Pwguv44Okv+GPJGhwZNqaeP4GC/jlkFexYD9LKklqeuv71JolHAHedl5umP8r986/B1FeSj6L7KS2q5J0nPufi+07ix09/oWRNBfl9s5ly7ni+ensJA/fZjSnnjmfs4cN578kFuGo9DN9/IIeftj9peTLVgBCdVfmGKh657CWKV1eg1Wk4+7bj0Bt0fD9/ObNvfovJZx/MLXMv5tsPl7Ho7SWoNGoOmTGOUQfuTk6vzF0+f32ViztmPtkk8QhQXVbHzSc9zj0fXEVqlkyVLoQQonPKLUznmvtPYMOfpXz68tdEwhGOnLYX/Uf2InerEYVarZY+gwt45IvrefvxT1n720ayCzM49qJDSM9LIy27bUdWuWs8PHblK83KP3/tOwbv3V+Sj6JLq9hQRe0mJ/OfX0h1eT3D9t2NsUeMoO+gPGY9fBLLF63kgU9mMf+Fxfz6zd/Y0yxMPvtgTFYDoTijY4QQQrSfUDjC7O+WNkk8AvhDYc555V3mXXgq+Sl2cgvTufK+6fzy/Wo+fv0HwuEo+04cyr4Thzbek1kdZvY/ejT9hhfy5iOfULGxir7DCpl6/oQms1Dk9E3n4c+v48PnFvLL139hS7Vw1DkH02tQPtn/3DOlZTuY9ew5LF+8kg+e+ZLhQ0fy6j0fNUk8AoyZMJhoNMqLt79DyeoKBozqxQHH7klqXioWS9t2PhOdlyQfO7HK0hqWLvidhy+e3Vj24q3vcNqNR3P0+RMwmPWk7+S0GF6Xjx8/+zVuXX21m/L1VeT3zd6pYwuRzIKBECP2242bpz/SOD3Bzwt+Y97zC7niiZn0HlKAI9NG36E96D+iJ8FAGHu6BYtNkvVCdGY+t7/x5vi8u07g6/d+YukXvzfWfz9/OQP37MMNr1zIPpNHoqiUxpvt1lBX5WL1ig1x64pXV1Bf5ZLkoxBCiE6rtGgTT1zzKks++aWx7IePV9B/ZC9mPXdOk446abkppOWmcO7tx+N2etGb9aRlOdo8xlAoxLwXFyesf+f/PmPo3v3J7b3rnYqE6Gwqi6v59sNlPDlrTmPZT5//yhsPz+fuD69Cb9DxxLWvEYlEmXHlEZx2w9H43H5eve9DVq/YwGWPnEpBP3kHJIQQHaXK4+G1n36JWxcMR/h5fQn5KQ3vDHIL08gtTGP43n2JRWNk5DnQaLakeULBMCt/XMMjl7zAPlP2oM+QfMqKKrl28r3c8c4V9B1WCIDRaKSgv5GTr51MfY0HnV4Td0a3tBwHBx8/ljGHDqW+ysUnL3/dpH7Efrsx4oDduen4h4lGGxaL/HnBb7z9+Kfc+d6VDBzdp1W+I5F8VB0dgEjM7w7w+BUvNSkL+oM8NWsu9579DKFAeKePHfAFG/8YxFNbUb/TxxYiqUWjPHHtnGbzooeCYZ6a9RrRSAybwwJARl4qeb0zJfEoRBLweRqml8ouTCcWjTZJPG628oc1fPvez+T0ymzVxCOA3xtosd7r9rdYL4QQQnSktb9uaJJ43OzvpUV8P3953H1s6VZye2e1S+IRwO8LUl1al7C+tsJJNBpNWC9EMvO6Azx93WvNyp01bp6c9RoxGt4DhYNhXrjjPW6c/hh3nfVMY+e4yuKado5YCCHE1kKRKN5gKGF9ab2rWVl2QRo5helNEo8ANeV13HvO0zhr3Mx7biGv3vMBX77xPc5qN/ee/TS1m5xNtrc4zOT1ztzmUlJWh5lwKILf86/pu888kCdnzWmWa/B7Ajx04fOUrm26vI3oPiT52Imt/mVD3IVhAf76eS1+z86/qDRaDJhbmNO/x265O31sIZKZ3xukrtIZt66mop6Ap+UEghCic7I6zOiNOkZPGMxX7/6UcLuPX/qK0qLKVj+/LdWCWhN/vQNFUUjJkGmbhRBCdE61lfV8/MJXCes/fflrSjrBSyWrzczQffonrB8wshc6o64dIxKi/fz27d8JO5gvX7SSSChCVo/0uPUAA8fIqBQhhOhIRq2GwlRHwvoRPbb/XX1Z0SYC3mDcuvV/luKqce9oeI10ek2TWSSMFj0+l7/F8/17TUnRfUjysRML+uM32s0i4Z3vtZmS7eD4SyfGrRu6T39saZadPrYQySwSaXmti0hEeksLkYysqWamnHswGo2mxZkDQv4QsVjrt/OUTBuTzzowbt346WOxp1tb/ZxCCCFEa4iEo4Ra6Ikf9Idog0vnTtnrsGHY4zzLqtQqTrp2Epnb6NEvRLLa1vujaDTKqddPiVtXODCXnF6yHqoQQnSkDKuFqw/ZN25d7/RUeqdv/9JroWDLsyXuyrvN3N5ZnHb90Y0/q9VqwqFtnC8s6wp3V5J87MQGjOyVsC6ndyYma+KRi9tisRrYd8oenH3bcY0PZ1q9hkNn7MNlj5xGTitPNydEsrCnWjGY9XHrjBYDtlRJzAuRjBxpVg47ZT96Ds5n9CFDE26396SRpO7kesotMZj0TLtkIifPOqrx+m0w6zn+0omcfsPUFmcjEEIIITpSek4K+04ZnbB+7yNHdpp1i/P7ZnPXu1cwdJ8BjWU9BuRw2+uXkJrt6LjAhGhjQ8YNSFjXa3ABOqOOgaN7c8Xjp5Oe23Cvq1Kr2HfyKP770gXk9pK1UIUQoqON7lnAQ9OOINvW8O5RrVI4bFA/njn5aDKt2/8+Mq9PNip1/LRPWo4Da4p5l+LsP6KQq56YSXpeCu56L6nZjoTnS812YHHs2vlE8tJsexPRUYwWPZPOOogPnv6iSblKpXDe3Sc2GeK8M3J6ZjDx9AMYfchQAr4gOr0WS4qZVJn6TXRj1jQzp/33GJ645tVmdaffeAz2NLlgCpGscgrTcaRbqCmv49OXv6J07aYm9em5KYyfPg5jG03JlpJp4/hLJzLhhLEE/EF0Bh2pWXa0OrkdE0II0bmNPHB38vtlU1Vay6C9+qJSqVj501p0Og2HnrIvJquho0Ns1GtQPpc/dhp+T4BIJIrRbCBXRnWJLs7iMHHwCWP5bt5ydh/TF4A/lqwm4A1y7l3TG5OLGXkpDBzdh4AvgFanxWg3kJHd+h3vhBBC7DibUc+hu/djREEunkAQrUZFqsmEWb9j7yhSMm2cePUkXr7zvSbliqJw0YOnkJbj2KU4swszSM9LYcDIXgS8AQwWA8dffgRz7v2g2fnOu3s6WYVpu3Q+kbzkbVcbK11dzqrl6/jp0xWkZDk44Li9sKSYySxIPNf+Zlk9MjjmwkMZOKYPbz/2CdVldfQb3pMTr5nU2FNtVxmNOgr6ZrfKsYRIJiWry1mzfB0/fvYLKZl29j9uLywOM1k90tlr4nDy+2Ux594PKVldQV7fLE68ehL5fbOwpsrUiEIki+LVZaz8fhW/LF5JZkE6+04dgzXFQl6fbG576zI+efkrFr7xA5FIlH2njOaIMw4gr09Wm8ak0arJLJAbbyGEEMklt3cWt75xCeXrqvjqnR+IhqJc9b8zKBiQS24bXzt3RnYLa9sJ0RVlF2Yw49qjGH/C3ix+6weIxbjmqTPJ6Z2F2W5q3E6j0ZDft/O1WSGEEA0URSHLtmuzrhktBiaffTD9RvTklbveZ9PGavoM7cEp102hx4BcFEVp3LaqpIbVy9bx/UdLSc9PZb9j9iQjLxXjVjMulhVtoraiji9f/45QIMR+U/cku1dmk+vJoSfvQ+8hBbzx0Hw2baym1+B8TrrmKNLzU9FoJAXVXcm/fBsqXlXGDVPupXRNRWPZ3Hvf5+JHz2D0xGFk5m/7gSi7ZwbZPTMYOKYvkXAEvVFHhqxTIcQuKVldzg1T7qVkdXlj2dx73+fCh09jr8NHkl2YTnZhOgX9cggFQmj1WrLkBYYQSWX9ymJmHXEX1aW1jWWv3vUus164gCH7DSC3dxbTrziSCSfuA4Aj04bFZkp0OCGEEKJbK1u7iVfufJfPXlrcWDb/+S8ZNWEIFz1yBjkyZaMQHap0bQVPX/sq377/U2PZvGe/YN+pezLz9uM7MDIhhBAdwZZqYc9DhzFwdB+C/hBGi6HZci8V6yu59vA7m+QuXrr1La546mz2nbonRouBsqJNvHbPe3z8/MLGbeY/+yXDDxzEpf87s/EeMLswg+zCDPoNLyQcDKM36SWHIWTNx7ZSW1HPy7e/3aTxbvboxc/jc/p36Hg5PTPI75stjVaIXVS7qY5X7ninSeJxs8cvfQGP09v4c1aPdPL75UjiUYgks2lDFf93xYtNEo8A0UiUe2Y+gbvWB4DBbCC/bzb5fbMl8SiEEEK0oHhVaZPE42Y/f/Yry774rQMiEkJs7e+f1jZJPG721ds/sHrZ+g6ISAghRGdgS7WQnpvSLPEY8AZ46bb4uYsHznmamoo6AMrWVjRJPG62/Mvf+fGT5c3KswszyO+XIzkMAcjIxzbhrvfirvPw1Vs/xK2PxWL8+OkKCnfPb+fIts1V48Zd50FRFKxpFszyMlZ0MZ46H4vf/D5uXSwW48dPVtBzUEE7RyWEaA0lq8sI+kOoVCqWf/lH3G1CgRBrVqynYEBuO0e38+oq6/HW+1Br1NgzbRhM+o4OSQghRBcSCASoXF9NKBhGq9WQnp+KwbxlDce6SicfPrUg4f4fPb2A4QcOIrd355nK0evy4axyEY1GMdtN2NNtHR2SEG2ipryOgDfAB099nnCbD578jIF79iE9r/NN/R8JR6guqyUUCKM3aknLTW0yHaAQQoi2UVfl4svXvuED5/NUbqgm6A+h0aqxplioclay9PNfsada+PDpxNeXj57+glEThpLXR5Z0E/FJ8rGVlRVt4qOnPmO3PfsRDkUSbueu87RjVNsWDodZ/3sxj1/8LL9+9SeKojD6sOGc+8Cp5PfPlZs/0WVEIlFCwXDCendt52qbQohtK1+3ibW/rOeZa15m41+l/PfNK4nFYgm3dyVJO/d7A6z6eS2PXvgMRb9uQK1Rc+AJ4zjtluPJ6inT2wkhhNh15UWb+PqdH5h7z3vUbarHmmJhykUTOeTUA8j+ZxqtUDCE1+VLeAyv00csEm2vkLepdHU5T139Et+9/xPRaJQBo/ty0WMz6T2sEK1O29HhCdFqiv8u44UbXyOvfy5eZ+I26nF6W3wG7ig15XXMe/pz3nrwQ9x1HlKzHZxy0zT2mbqndBgQQog2Fg1HeObX+/hp/gqevuZliv8uRavXcuD0ccy47hj2mbYHwUCoxeuL1+UjFk387kUIST62oop1m3jmmpdY/Ob3zLxzBn2GFbJmRfzpLUaNH0rFukpctW68Lh+2NCtmu5GM7VgHsi2UrdnEJXtfR8AXBBpGgC2Zv4yVP6zifz/dTba85BRdhN6oo9/IXqxaWhS3ftSEIaz9ZT0mq4HsXp2n97YQ3ZWrxkVdlYv6SicqtQpbmpW0fAdG45YpQ9b9tpEbp9zT+HN9lZOswnQq1lfFPebAPfu2edytoejXDVx54E1Eow0vdCPhCJ+/vJg/vvub+768iYz8ztd7XQghRPKo3VTH5y8vpvewHtw5/zo89V6MViP1lfW897+PmXrx4WQUpJOSZWfPw0fwy+KVcY8z6pCh2DpJoqBifSWX7/9fqsu2TL3+14+ruXSfG/jfz3fTa3CPDoxOiNZTvm4TAV+AI885hJQsO4pKxdpf4r9/GjNxBI7slHaOsGXueg/P/ecVPpm9sLGspryOh859Cleth2MuPQKtXjoLCCFEW0nLT+HnT37hxqO3vEsJBUJ8Onsha5at479vXkFun2z2Onwky774Pe4xRo0fgiXFnPAcfr+fqo01OKvdRCNRHBk27GlWrGnWVv88onOSNR9bkce5ZTrHD5/4lBOunoxK1XzE4JB9dyM1x8EtJzzI+WNmceXBt3DOiKt56upXKCva1N5hE/QHeeuBDxoTj1tz1bhZOPebxhefQiQ7jVbFjFlT4rbNQWP7s/aX9Zw76hpuPeEhNvxZ0gERCiE2q1hfycLXv+PCPf/D5QfcxKX7/pfLD7iJ3xb9SV2lC4CS1eU8fc3LTfb78P8+5cRZR8c95rijRmNxdP4pxV01bp688sW419/SNeWsWrq2A6ISQgjRlXhq3ewzdU/mPfMl54+ZxVUTbuXCvf7Da3e/x2GnH4TfGwBAo9Ew9shRZOQ3X7vH4jBx1HmHYG3hxVN7+vmzX5okHjcLh8K8dPMb+NyJe+8LkSzK123i6Wtf4fzRDe32rGFXMeLAQdgzmncCcGTaOHj6OIxGXQdEmlhdRT2fvrAobt0rt74Ztx0LIYRoPVUbanjmX+9SNluzYh1layuIxWKMPmw4mT2aD5Yy2YxMvWgixgTLwtRU1LPii5Vcvv+WdzkX7PkfFr/9AxUb4ncUF11PUiYfFy9ezKRJk8jNbZgO9N13393mPosWLWLUqFEYDAZ69+7NE0880epxFf9d2vj/K9ZX8vlLi7hhziUM2rs/iqJgT7dy4rVTuOKpc7j1+AdZ9fOWF4exWIxFb3zHnLveoXZTXavH1hJ3nZelC35NWL9k3jJ8bn87RiRE2/HUe5n/zAJueO1SBo8bgEqlYEuzcMylh3P0RYfx7H/mALBqaRE3H3s/JWvKOzhiIbqv4lVlPHrRc02uQXWb6rlx6n3UVjS8kAgFQmxYWdxkvzUr1vHLwt+Y9dKF9B/VG0VRSM1xcMatx3P2PTOSYjS/z+Pnj2//Sli/5KOl7RiNEEKILkmlZvaNc1kyf1mT4l+//pMHz30K2NJZL69vNnfN/w+Hnro/eqMOjVbNvlPHcP+CG8nundHOgccXCob49r0lCetXLPwdT723HSMSovXVlNfx0i1v8dVbPzQuMxCLxXjgnKe47uWLOPjEfdDqtWj1Wg6evg/3fXYD+f1yOjjq5io2VCVcJsHvDchyKEII0caCgVCLgy5WLPqdSCSCooI7P7qWw04/AL1Jj0arZp8po3ngyxuxZppxJ7i3qt9Uz03H3EddpbOxzOf28/D5z1C2Wt61dhdJOe2qx+Nh2LBhnH766RxzzDHb3L6oqIjDDz+cs846i5dffplvvvmG888/n4yMjO3af3vZ0psOGf7u/Z/484fVTJx5EJPPnUCfYT1J75HOmqVrWZtgOtYFL3/FMZceQUqmo9Xi2haNTo0jw0bZ2oq49SlZdrS6pPxVEaIZlVrFsgW/svKHVUyceRCX/G8mK79fxZdzvuGtBz5s8gC08a9SaspqZeFkITpAxfpK5tz5bty6cCjCJ7MXctpt01Fr1OiNumaj9z97cRHLv/yda1+6iPS8VGIxyOqZjkaTHNczlaphitn6Kmfc+vQCmXJVCCHErgkFw3z3/s9x6/747u9m19b8fjnMvO14jr9qErGYgtGiJy2n80zlqNaoSc9LfH10ZNhQa9TtGJEQrc9d6+aLOV83Ky9dXc51R97Jo9/ezt5HjqTXkB6Y7CZSMu0dEOW2Wewtz0Si62QjNYUQoqtRa1Rx36VslpaTClF46Za3cNa5uOLpcznu8iMB0Jv0fPLSQr5792fu+OjaZvv6vX7mPfsFkXAk7rFfvetdcvpmkxVnRKXoWpJy5OPEiRO57bbbmDp16nZt/8QTT9CjRw8eeughBg4cyJlnnskZZ5zBfffd16pxpeem4vjXjV1tRR2v3vE27z46H61eg9Goa3Fq1VAwjL+dRxnaUq1Mu/qohPVTLz0SnUFu/ETXYEu3MeHU/anbVM+cO9/BVe3m/jOfYOmCX+P2vCxb2/5TIQshGnrhbT2jwL+t/70YX70He5qFCaceEHebmrJaHBk2cvtkk9c3O2kSjwAp2XamXnpE3DpFUdj/2LHtHJEQQoiuxlPnSTjyCKC+snkHGHuGnby+OeT3y+5UiUdo6Lgz6dxDEtYfd9VkUrIc7ReQEG3A6/InfJkb9Ico+n0jlcXVpOanddrEI0BqTgppuc2ncgYYMLov9gxZD0wIIdqSPc3K+FP2j1un1qgZcdAQNDoNR11wKD99/CvTCy5g5pArmTnkSk7qcxEv3fQWx11xJPY46ze663ys/31jwnOXrCoj6I+f9BRdS1ImH3fUd999xyGHNH0IOfTQQ/npp58IhUJx9wkEAjidzib/bUtWrwxufvsqTLamPbgye6Rz2VPnNE7zltMr8XRvWp0Gg8WwzXO1tkHjdmPizIOalZ/03+PosVteu8cjxI7YkfZqT7Ny3BWT6b9HHwD0Rl2LC9nn9O780zMKkUy2t73q9Fry++cmPE7hoHyMdjO2dBvTrtzSpjdTa9T8Z86lmJJgfcd41Go1h55+ICPHD2lSrlKpuPqFC0nPl5GPou3tzP2wEKJj7Ex7tTjMKErzddA3c2Q2Xz+us8vqmcF5D57WrHy/Y8cyZuLI9g9IiDh25fpqshpaHMGb1SOdsZP26HRrPP5bel4qt31wLRZH0/ViM/LTuPbli7GnJd/fH9E1yf2w6Kps6TaOv+oo+o/q3aRco9X88y7FCDRMvX/azdOa7T9+xj4M23/3uMe2OIwUDipIeO68fjnoO/l1SrSO5BkCsAvKy8vJyspqUpaVlUU4HKaqqoqcnObz3995553cfPPNO3QerVZLrxE9eOyHO/nrx9WUrCqj36jeFA7MJ2+rOfZTsx0U7JbLxj+bj+gYf9K+2NIsO3Te1pCSaefMu05iysWHs/SzX9Bo1YwcP4zUHEezm0EhOpsdba85vbO4bs6lbNpQhdft45BT9uOjpxc0265gQC6pnaxHtxDJbnvba1ZhBtNnTeGXxX80q9No1Rx62gEYDA0dB7Zu0ysW/U5qdgrD9t8dk8NEek78HtXJIC0nhVkvX0LF+kqWffEb1lQzww8cQlqOA4O5/Tsqie5nZ+6HhRAdY2faq8lmZOzkUXz73k/N6nYf2x+Tzdha4bUbi8PMYacfyJiJI1j6+S/4vUFGjh9CRn4a9nRJZojOYVeur5YUCwdN34fPXlrUrK7n4AJSsuxkt9DhvbNQFIXewwp5Ytm9rFq6lo1/ldJ3RC96DiogQzrZiU5E7odFV5bTO4vrXruMivWV/LL4j3/epQzC4jCS+s+7FGuKhcnnTmCfKaNZ+sVvhPwhRo4fQnpuCrY4ox4BDCYDh888iA+f/CzuaP0Tr51CZoFMudoddIvkI9CsR+fm6WUS9fScNWsWl19+eePPTqeTgoLEGfvNjEYjBQOMFAxIPFojt082N715BXed+jirfl7bGMd+x+3FCdce3a7rPW7NlmbFlmal95DCDjm/EDtrZ9prbp9scv9ZyzGzIAOvy8+i178lGm3429BvZC+ueeFCWe9RiFa2I+01v18OFz02k2eufQXfP1OSp2TZufKZc5tdKze36eEHDm6z2DuCI9OOI9POgNF9OzoU0Q3t7P2wEKL97Ux7zSxI55x7TiYSivLDvKWN5UP2HcjlT51DTq+sFvbuvEw2EyabqcUZFIToSLtyfU3NdnDS9VPxe/18/faSxndbA0b34erZFzQ+4yYDlUpFVmEGWYUZHR2KEAnJ/bDo6ja/Sxlx0JCE25jtJsx2U4v5jn9LybRx01tXcv9ZT1C3qR4Ak9XIWXfPIKdPct5jih3XLZKP2dnZlJeXNynbtGkTGo2GtLT4Par0ej16vb7NYioYkMf1r16Cp96Lz+3HmmrBbDeSkS9ZfyF21K621+yeGZx154lMv3YKrho3RosBs91ETm+5GArR2nakvWYVZnDAsXsx/MBB1Fc6UalV2FItpBWkYDQm32gMIZJNW98PCyFaz86215zeWVz46OmccdsJuOs8mGwmzHZj45IhQojWt6vX15zeWZxz3ymcfMMxuGo8mKxGTHZj0nYYEKIzk/thIXaOI8vB0AN344GFN+GsdhGNRHFk2LClWbDJ1NrdRrdIPo4dO5YPPvigSdmnn37KHnvsgVabeK23tiaJDSE6j/T8NFlDTYhOyJpmxZpmpUBGLwghhBBtIquHjDoSItlk5qeBPL8KIYToxIxGI/n9jNCv+ZJ3ontQdXQAO8PtdrN8+XKWL18OQFFREcuXL2fDhg1Aw5D4U045pXH7c889l/Xr13P55ZezcuVKnnvuOZ599lmuvPLKjghfCCGEEEIIIYQQQgghhBBCiC4pKUc+/vTTTxx44IGNP2+ee/vUU09l9uzZlJWVNSYiAXr16sW8efO47LLLePzxx8nNzeWRRx7hmGOOaffYhRBCCCGEEEIIIYQQQgghhOiqkjL5eMABBzQuqh3P7Nmzm5Xtv//+LF26tA2jEkIIIYQQQgghhBBCCCGEEKJ7S8ppV4UQQgghhBBCCCGEEEIIIYQQnU9SjnzsCJtHWjqdzg6ORIiuz2q1oijKTu8v7VWI9iPtVYjk0d7t9b1HP2HDypIt50+1kN8/e7vPV7yqAleNB4CydZVEfX4+eupTln66rHEbW7qV/N3yAFj5SzG4vSx453uW/PAHddUe/L4QKXl2UnbLxun0t3g+T1XDuf7vlYXkFqZRmOXY7ljjWVFdhqlYYUVoHeqVgW1uv7y2BGOZmuXuIpRfg7t07n+rCdXirLbzycaVpGrLt2ufPz1r8NdZeLbocywaU8Lt6kNllAd7Uq1byUfaOixqMzn6TFZUlmFeDysoQvOXn2C0nHLfAIqNq9Gp3ABUBDdR5MsnatzE77ofGo9ZHaxio78nHkMVy7cqBygNVLDRm8MiUwW/agNs9PWj2rgKVbQOf3gwBk0dOk3TfRKJRNdAtLbhB1UKalUfAILhOryhwZi023+s7ZGVYWX4oPzt2laur0IkD2mvQiQPaa9CJI9dba+i4ymxluYvFY2Ki4spKCjo6DCE6Bbq6+ux2Ww7vb+0VyHaj7RXIZJHe7bXNCWbEeyz0+faESqLBUWtbnEb76iexCz6FrdRwlE0riBhq46YRiaIEW3j5wX34nNXbnM7ub4KkTykvQqRPKS9CpE8drW9io4nycftFI1GKS0t3emMu9PppKCggI0bN3brRiPfwxbyXTSI9z3sas+WltqrfO87Tr6zndNdvre2bK/toSv8O8ln6ByS4TO0dXtNhu8gWch32TqS+XtsrfYai8Xo0aNHUn4HiSTzv2s8Xe3zQNf7TNv6PNJeO4eu9nvXnrrTd5fsz6+Q3P9eEnv7S9a4QUY+dgUy7ep2UqlU5Odv3xQ5LbHZbEnX0NuCfA9byHfRoDW/h+1pr/K97zj5znaOfG8ta63r667qCv9O8hk6h67wGRLZ3vbalb+D9ibfZevojt/j5va6eVq4rvgddLXP1NU+D3S9z9RWn6c7tNf2JN/fzpPvbts6y/MrJPe/l8Te/pI1bpHcZD4hIYQQQgghhBBCCCGEEEIIIUSrkOSjEEIIIYQQQgghhBBCCCGEEKJVSPKxnej1em688Ub0en1Hh9Kh5HvYQr6LBu39Pcj3vuPkO9s58r0lh67w7ySfoXPoCp9hV8l30Hrku2wd8j12ze+gq32mrvZ5oOt9pvb6PF3te2tv8v3tPPnukksy/3tJ7O0vWeMWXYMSi8ViHR2EEEIIIYQQQgghhBBCCCGEECL5ychHIYQQQgghhBBCCCGEEEIIIUSrkOSjEEIIIYQQQgghhBBCCCGEEKJVSPJRCCGEEEIIIYQQQgghhBBCCNEqJPkohBBCCCGEEEIIIYQQQgghhGgVknzcTrFYDKfTSSwW6+hQhBDbIO1ViOQh7VWI5CHtVYjkIe1ViOQh7VWI5CHtVQghtp8kH7eTy+XCbrfjcrk6OhQhxDZIexUieUh7FSJ5SHsVInlIexUieUh7FSJ5SHsVQojtJ8lHIYQQQgghhBBCCCGEEEIIIUSrkOSjEEIIIYQQQgghhBBCCCGEEKJVSPJRCCGEEEIIIYQQQgghhBBCCNEqJPkohBBCCCGEEEIIIYQQQgghhGgVknwUQgghhBBCCCGEEEIIIYQQQrQKTUcHIIRIfuGgF7WqAqL1gAYUK4q2sKPDShqBQIjqOg9uTwCjQUuK3YzFrO/osEQ3FAsXQ8wFMT+o7MQUByp1akeHJUS3FQ1VoVDX0C4VMzEsqLS5HR2WECKOaKgUBTfEPKBYieFApU3v6LCEEEKIpBcLbQRcEAuA4iAaS0ets3Z0WAnFwush6gSiDc/VZKPSGDo6LNFJVde6qXf6iEZj2K1G0lItqFRKR4clRKuQ5KMQYpdEQ6Wow0uIue6EWG1Dobo32O8kQj80OkvHBtjJ1dR5ePXtJbw9bxmhcASAvUb24srzDiErw9bB0YnuJBZeQ6x+FoSWNxQoJjDNJGacgqIp6NDYhOiOYuFi8D5PzPcaEGoo040jZrsJRSMdfIToTGLhDcTct0FgERADtGCcSsx8tlxDhRBCiF0QC60kVn8thFc2FChWVJaLiSoHo9Lmd2xw/xIN16FE/ibmnAWRjQ2FqgwU23+JMgSVRjoRii3C4Qh/rang1gc/oqS8DoBUh5mrzj+EUUN7YDToOjZAIVqBTLsqhNglSnQ9MefVWxKPAJG1xGrPQK3a1HGBJYFgMMxr7/3I3Pd/akw8Any/tIgb7nmPmjpPB0YnupNYeD2x2jO3JB4BYl7wPAqBBUTDgQ6LTYjuKBquI+Z9CXwvsTnxCKAEvyFadymx8IaOC04I0UQstJFo/VUogYU0JB4BQuCbS8zzDNFQdQdGJ4QQQiSvWKiIWM1pWxKPADEXMdftKOEVHRZXIkqskljtGVsSjwDRSmJ1F6NEKzouMNEplW1ycvENcxsTj9AwQOE/d77D+uKajgtMiFYkyUchxE6LhkqIuh+JXxnzEPN/0r4BJZnqWg9vfbQsbt3KVeVU1bjbOSLRbYXXQqQkblXM8yQKpe0ckBDdmxKrBu+c+HXh3yEqD6NCdBqxepRQ/Ps5fG82TJ0shBBCiB0X+rlpR/etxNyPdqoOedGIl5jvDSAYpzZGzPME0Uh5e4clOqlIJMr8L34jGAw3q4vFYPbcb/F6pRO4SH6SfBRC7DSFIEr478QbhH4hGpbRe4l4fcG4NxqblVXUt2M0ojuLhf5IXBmthli8ByghRJuJeQB/4vrwuvaKRAixLdH4nXcahBrWbBWim4nFokRjoW1vKIQQLYiFfklcGVkLRBLXtzsnhFt4rg79hRL1tl84olMLBsP8/lfiTt6rijbh9ct1VCQ/ST4KIXaBGtQtzLGv7olKY26/cJKMwaBF3cIi0umpsl6maB8trh+nWECRtQaEaFeKiRaXZlfntFsoQohtUGW2VAmK3AuL7ufXqtv5qGhUR4chhEhyirpX4kpVFsQ602ttK6h7JK7W5BNT9O0XjujUdDo1PfJTE9bnZtnR61p4HhQiSXSmv9JCiCSjaHugmM9OUKtGMU5pz3CSTqrdxEH7Doxbl5NlJyvD2s4RiW5LOwgUW/w603RiSkb7xiNENxfDBobD4leq8xpetgghOgclFRK8HI3pDyKmyP2c6H6K3R91dAhCiK5Avx9giFulmGcSVfLaN54WqNRmFNMMIH4Hc8V0NipN54lXdCy1Ws3RE0egJBiPcOq0vbFa4v/uC5FMJPkohNg12qFgPpcmIzQUC4rjUaKkdFhYycBo1HHeKfsxZkTPJuX5OQ7u+++xpKfKyyrRPmKxfJSUZ5uP3tAfjmKcjkoto3CFaE8qbSaK5TJiur2bVqh7oDieRNH27JC4hBDNKdpCFMfjoO7dpDymHY3Kei0qTXYHRSZEx1ESvHwXQogdEYlmoKQ8DcrW75ZUYDwB9ONRazrXyLCYkopiv/efWUw206JYriSm6Z1wP9E95WbaufXqozAatI1lGo2KC08/gP69pbOp6BqUWCwW6+ggkoHT6cRut1NfX4/NlmB0iBDdVDRYjqJ4ILIeFAOoc4hE0tDoO6atJFt7rXf6qKnzsKnahcNmJC3FIlOuinYXDQZRVCUNazxG60Ddg5hiQaXJbdPzJlt7FaI9xcLFEHNCpBRUaaCkomhbmCa5jUl7FSKxWGg9xGohWgWqHFBsKNqCDotH2qvoSPOL9iYcczOpdwvrtYlG0l6FSCwUcKFRVUF0E8TcoC4khhmVtmOWIdhWe41GqlBiLoiUAOGG52osqDQtTdMuuqtQOEJ1jZvySieRSJTcLDspdjOGrRKSQiSzztVFRAiRlFS6f3p0a/s0lnWyDmidmt1mxG4z0qtHekeHIroxlU4H9PrnvwbSZ12IjqVo/llXWbt7xwYihNimho4BHdc5QIhORVFAurkLIVqBVm8FrCTLc6pKnQ6kgyY54hUdS6tRk51pJzvT3tGhCNEmZNpVIYQQQgghhBBCCCGEEEIIIUSrkLFJQnRikWiQSNSNSqVHozK36bnC4VJisQAqVRpqtW2r8gDRWDmgQteBU0cJ0ZnFYjFC0ToUVGjV7dtjLRwOEIuVoygKGk2PZvWhSC3RaB0qjGi1su6UEK0tHFpPjBiKko9GoyEcDhONFQNquW4K8Y9oNEi4ne5pt0c4HCYWK0ZBQaMtJBp1EYsFUalsRCL1RGIuVIoZrUyRJsROkVE+ySMa9RCL+VEUMyqVoaPDEW0sFosQijpRUKNVt+0Uv6FwCdFYEI0qHbXaSiwWIxqtBRTU6hTC4WJisTAqVRZqtbFNY+lqIpEKolEvKsWGWpPWqseOxkKEIy5Uig6NuvWXAwqGNgBRVP88OwkhujZp5UJ0QtFYGH94IyX1L1If+AmdOpMC+1lYdLuhVTta9Vzh0HpC4T/wuJ8lGq1Fpx+H2XwykE+Mcpze93D75qEoOuzm6Zj049Bpe7ZqDEIkM3+4jCrPJ1R43kVBQ651BinGvdFr2n6B8HC4CJ/3ffz+eYAWk/kE9Pp90Gh6Eg7XEIltosb1LIHgUtSqTFKtZ6PV9EGnbZ6kFELsmHB4HX7/l/i8bwARjMYp6A2H4fYvpt7zKoqixmY+HrN+f7luim4rGgvhD2+kuP4FnIGl6NRZ9LCfjVnXv9XvabdXOFSE3/8xPt+7gBqj6Tj0+gOJRq3E+JMa1xMEw3+iUReQaj0PjTpXOhIIscMk/djZRaNOwuFVuFyPEwmvQ6sbhsVyLmp1oSQhuyh/qIQKz/tUej9GrRjJs56C3TAavSajVc8TDK3HH1xBned5olEXJsP+2M3TCQcz8HoewJFyJgH/53i9LxONeTEYJmA0HotW27tV4+iKwuENRMIbcbufJBIpRqsdgtlyNmp1Jmr1rv07xmIR/OESSl1zqPV9jVadSoHtTCz6QejUqbscezC0Dm/gK+o9rxGLhbGaJmE1HoFO22vbOwshkpYSi8VkJv7tIAuAi/bkCvzG8vLpRGOBJuWFjovJt52GRtU6vY/C4Q24XI/g877apFxRrKSlv01J9aUEw783qTPq9iQ79cFO/SJV2qtoL/5wGSvKT8If3tik3KofyaCMh9s0ARkOFVFdPZ1IZEOTcp1uNI6URwhFKtlYOY1YzN+kPtV6MQ7zSWi1+W0W246Q9iqSUTi8jtqacwiFfm1Srtb0wWK7nuKq0xvLDLph5KT+X6e+bm4vaa9iRzkDK1hePoNYLNikvJfjCnJtM1rtnnZ7hUNFVNecQiS8pkm5VjsUm+NB1lUcAkSa1GU67sRinJh0oyClvYqO9PG6fQhFnUzq/UtHh5IU2ru9RqN+fL63qK+76l81GlLTXsVg2KfNYxDtyxcqZnn5CQQjm5qUpxoOoH/6Heg16a1ynmBoPZX1d+L2vd+kXKVKoUfG26gUPc76/xAILPxXfRZp6W+i1fZplTjaUkddX0OhMvz+93A5b/lXjZbUtJcxGPbdpeN7gqtYVjaNSMzTpDzXejI9HRftUqexYGgdZTUX4Q/+3KRcqy4kP+NVSUAK0YXJmo9CdDLBSA1/V1/fLPEIsL7uUYKRqlY7VzRa2yzxCBCLuXA5b8VibH7z4gv+QCD0e7NyIbqbWCxChfudZolHAFdgKc7AijY7dyTiweud0yzxCBAM/kgo+DvVzkeaJR4BalyPEv3XA4UQYscEAt81SzwCRMJrCAdXYNSNaSzzB1fgCyxpz/CE6BSC4Wr+rrquWeIRoKjuQUKR6naNJxwO4PO93yzxCBAK/UIw+B06TfOXX5X1txCNOdsjRCG6EBn52JlFo5uor7s+Tk2Y+rrLiETK2z0m0Xai0SDFzueaJR4BavwL8YWaXxd3Vjha0Szx2BBDLTWup4lE1jdLPDbUV+BxP0k0WtNqsXQ9blzOO+OUh6ivu5pQaN1OHzkUcbK65vZmiUeAUtdLcX93doQ/uKxZ4rHhvOtxet4gEvHt0vGFEJ2XJB+F6GTC0XrcwT8S1MZwtWJCw+9fkLAuEPgKk25U3Lp6zxuEw/WtFocQySgYqaXC/W7C+jL3XCLRtrmJjkYr8MV5qNvM652DJuG0KzF8wR/bJC4huoNIuByf962E9QH/fMyG/ZuUOb1vEArJizzRvYSj9XhCfyeojeIKtndnttJ/plqNL+Cb16ztAsRiPsLhkjaMS4iuSJKPnVkkvBFo3tkZIBIp+WddPtFVBKO1bPJ8mLC+3P0WrTUpntv7UcK6aMyJz/tmwnqf70OikbpWiaMrCodXA6G4dZHIemKxnX9HF47WU+f/NmF9je/rnT52KFxFvfeNhPVO33uEo2U7fXwhROcmyUchOp1tPai134NcottPBQVU8kApREsUFDrsxYvSef6OCNHlbLP5xNtA2pwQzbV3u9jWdVkh4d3vNq+rQgiRRORPWrey7X/uTvILIdfaXbQr31/L+ypt+jvSge9NhBBtTpKPQnQyGpUNi25QgloFq35oq53LYBifsE6vPwBvIP7oKJt5GhqVrB0jujedOoVsy9SE9TmWE1CrDG1ybpUqC6NxSsJ6k2k6oXCiqVEUjPo92iQuIboDtTobk2lawnq94XDc/i+blNnM09Bqs9s6NCE6FY3ajlk7IEGtCmvC+922ko/RmPi6rTcejtu/qFm5ohjRqnPbMjAhupy2fVEtdpVa3QOI/5yiVuejUqW2b0CiTWlUKWSZJyesz7Yeg9JKiT+r6ciEdSrFjtF0XMJ6o2ESiiqlVeLoijSafoA2bp1a3QuVYt3pY2tVNhwtrPWaYtz5dWC1mnTsLTw72UxT0KjkOUmIrqrTJR8XL17MpEmTyM3NRVEU3n333Sb1iqLE/e/ee+9NeMzZs2fH3cfvb74WlhAdTadOZUDa7agUY7O6Xo7L0KlbZyFwAJXKgcl0SrNyRbFhtV2PN860C0b9OPTaga0WgxDJSlHUZFqOwqjp2azOrh/Tqh0F/k2tNmMyn4Ba3fzcOt1YtNrdSbdfhhLn70ia7TJUmNssNiG6A51+DFrtiGblGk0/1NpB+IM/NZYZdCMx6iThL7ofnTqNAel3oFL0zep6p1yFVp3WrvFoNBqMpiP/eXnXlFY7Er1uL0Lh9c3qMh23oqgc7RChEEK0D5UqA4fjjjg1WhwpD6FWZ7V7TKLtqFU68m2no4vz75pmHI9J06f1zqXOwmo8Ok4MqaTazkKtLkSvb94JXqXKwWI5G7Vako+JWbDZb4hTrsPhuBuNtvm61dtLo7bRN/U/qBVLs7p86+no1Jk7fWwAg244Rt2YZuVaTW9spmNQq5u/txBCdA2ajg7g3zweD8OGDeP000/nmGOOaVZfVtZ0Huj58+czc+bMuNtuzWaz8ddffzUpMxjaZkSKELvKrOvPqNz3KHO9Rp3/B3TqLHrYz8Sk7YdG1fxmYGdpND2wWM/HYDgYj+c5otEadPp9MJmmA4Xkpj+J2zcfl+9DFHTYzTMw6seg0xa2WgxCJDODJodh2S9S5V1AhfsdFEVLnnUGdsMY9Jpdu0HfFo2mJ2lpr+D3f4LP9z6KosNkOhGdfgwaTSHgoDBrPnWu2fiCP6NRZ5NiPROtuhCtNr9NYxOiq9NoepKS+jiBwHf4vK8Ri0Uwmo5Grz8Ij/87DLqRKKixmU/ApB+LTtuzo0MWokOYdQMZlfs+pc451Ad+RK/OocB+JiZtHzSq9u8Io9H0JDVtNn7/Anzed1EUNUbTNPS6cYQxU5g1n1rXMwRCf6DVFJJiPRutKgdtK3b+E6JbkOkTOzWVyoDBeATp2oG4Xf8jElmHVjscs+VMNJoeHR2eaAMGbR4jcl6j0vMxlZ55qFRG8qynYtOPQKdpvc5AOk0P0h3XYDUdSZ37eSLResyGA7Gbj4NYNnV1t+FIuYVQaCpez0vEYl4MhkMxGiej0fZutTi6ooZZVA4lLX0IHveTRCIlaLRDsJhnolJn7PLxTdrejMp9lzLXW9T6F6NVpVFgn4lZNwCt2r5Lx9Zpe5Kd+hDewA84PXOIEcJqnIzFeAi6XUiaCiE6PyXWWqsKtwFFUXjnnXeYMmVKwm2mTJmCy+ViwYIFCbeZPXs2l156KXV1dTsdi9PpxG63U19fj80m002K9hGNhYhEPagUPWpV2/YEikTKiUUDKKpU1Oot0zWEw2GisVIURY1Wk9emMbQWaa+iI4Qi9SgoaNTt+zsXDoeBEkCDJk4bjUScRKI1KCoz2lZ4KGlt0l5FsguHNwKxJi/rgqENgIJOW9BhcbUFaa9iZ22+p1UUHRqVqaPDASAcbminGk0B0aibWCyESmUlEnESjTlRKRY0muRNOkp7FR3pk/UHEIzUMKn3Lx0dSlLoyPYajfqIxfwoigmVqvlIddG1xGJRwlEnCho06tbr2B5PKFRGjCBqVWbjyLZIpA5FUVCp7ITDpUAYyEKjSZ7fvc5wfQ2HK4nFPKhU9lYfLRqNhYlE3agULeo26CgWCpcQi0XQaaWjgxDdQacb+bgjKioq+Oijj3jhhRe2ua3b7aawsJBIJMLw4cO59dZbGTGi+XRZmwUCAQKBQOPPTqezVWIWYkeoFC0qtaNdzqVWZ4O6eblGowE6902BtFfRGexqb8Cd1dBGE49GVqttqNs5IdoSaa+iq9FomicYu8rDtLRX0Vra8552e23dYUC11cwiGk0qkHzrnUl7FSJ5dKb2qlIZAZnysLtQFBXadroea7U5zcrUW51bo0mO9ZQ7U3vdTKPJANqmY7FK0bTpPVuyDGoQQrSOVl3zcdGiRUyaNIm+ffvSr18/Jk+ezFdffdWap2jihRdewGq1MnXq1Ba322233Zg9ezbvv/8+c+bMwWAwMG7cOFatWpVwnzvvvBO73d74X0FB1+q5LkRXIu1ViOQh7VWI5CHtVYjkIe1VdCqdd4KtTkHaqxDJQ9qrEELsvFabdvXll1/m9NNPZ+rUqYwbN45YLMa3337LO++8w+zZsznxxBN3PLhtTLu62267MWHCBB599NEdOm40GmXkyJHst99+PPLII3G3idezpaCgQKatER0uGAzipxxvuJJwxItZ14dA1EttsAyzxoFFk0qqPo9QKESUjYQjZUSiteg0vVEUK/ouNgUcSHsVnZsrWEoo6sYV2ohJnY1Wk4o34qQ+WIFVm45J7SBV39DrMxgMElOKCUfKiURr0Gl6oWBFr2ubUVTecCXecCX+cA1mbTZGdRoGTetO2/Jv0l5FW3AFiwlE6nGHyzBpMjGrswnGwngi9bhCldh1WRhVNlL0DT2wfaFywjE3/lAVZq0DorVEotVoNb1QKbYuN13qzpL2KtqbP+wmGK3BEyonGHVj1xWiUcxYdNnUBysIRv1UBzeiV5mwaTPRxAIEoxVYtdlEo9VEImVo1YUoKgf6brZGubRX0Zl8sm5/gtFamXY1AWmvorNwByuI4KM+uB6VosGqzUcVM6HXGPCGPfiiLuqCZVg0qZg1KZgUHSrFSTC8GgCdpg+xqAW9PruDP0nbScb2GgxtIBbzEAyvRq1KQa3OQUUOWm3nmPq+LXiC6wlEqvFHNmHS5qNVOTBr87e5nzO4EX+kBm+4Eqs2D53KhlXXdHRmvddPjcfL+qo6bEY9uQ4bmTYLKtWur2/sCdbij7mpDZYRiYVJ0+ejVQzYdZm7fGwhOoNWm3b19ttv55577uGyyy5rLLvkkkt44IEHuPXWW3cq+diSr776ir/++ou5c+fu8L4qlYrRo0e3OPJRr9ej1yfPnOOiewiFQjijq1lYejWRaIhDCp5nfvljrPcsb9zGpsng2B434lAUSqqnEIlWNdaZDBPJsN/U5V6qSnsVnZUrVMqSynsp9X6HVVPAfrkP8W7x3ZT5/27cJlWXzzEFN2BT0ojE/qKs6jQi0crGepPhEDLst7Z6u60PrufL0itwhYobyzINw9kn+xbM2ra70ZX2KlqbM7iRr8pvoCbwJ9Dwezwq8z+8vfF2qoMbG7fLNvTlqLxrMajUrK1/htrAMoaknkd51TlN2pzZcCjp9lu63LVyZ0h7Fe3JG66hLrCar8qvIxh1/VOq0Md6JLunzuTbqtdYUfcZ0NB3Vq8yMyX/WjJ12ZRXzSAUWd94LINuNFkpD6PT9mz3z9FRpL2KTkXZ9ReyXZm0V9EZuIKlFLk+5peaZ4kRAUCt6Nk783rsymA+LHuAYu/vjds7tNkcU3ADYfc9ePwfAKCgI91+A4pyKDrdthM9ySjZ2mswtIFq5224fR82lqlVaeSkPUcstBs6rbUDo2sbzuDf/FxxMb7wlncbKfoRDM24A3MLz3S1gTUsLLsad6iksSzDMIxxWf9tTEBWujzcM28xH634c8uxzUaeOGUKu+dlolbt/KSS9cEKNnh/4+OyxwjHGhLcKtTsnX4CQxwH49B13aS+6D5abdrVtWvXMmnSpGblkydPpqioqLVO0+jZZ59l1KhRDBs2bIf3jcViLF++nJyc5vOPC9GZeWOlfFFyGb5IFeOyb+OrylebJB4BnOFKXt9wI27UTRKPAF7/fOo8zxMKdfwc9UJ0df5wHb/XvEyp9zsA9sq+hU/K/9ck8QhQEyzmneLb8cTqKK2a0SQJAuD1f0qt+xlCofpWi80brmyWeATY5F/Oj5X3E4x4Wu1cQrQlV7CMHzbd3Zh4BBiZcQ3vFd/dJPEIUO5fzfyyRwhEg2xwvcZAx9lU11zUrM15/J9Q736GUKiuPT6CEOIfoYiTL8uu3CrxCBDDrM7jb9d3rKj7lM2JR4BA1MObG2/BH1U3STwC+IM/UlV/C8FQafsEL4QQQiSZ+lARK2qeakw8AkRiAXSaTL6seK5J4hGgLlTOmxtvQW/9T2NZjCCV9TcQjjZ9rhQdIxSpx+l9pUniESASraa0agawqWMCa0Oe4PpmiUeA2sAy/qy5D1+oPO5+zuBGFpZe1STxCFDpX8HPVY/gCVUQjkR4Y8kvTRKPALUeH6c/+ybl9S52hTfi5MPSBxoTjwBRInxd9QqVgXW7dGwhOotWSz4WFBSwYMGCZuULFizYofmw3W43y5cvZ/ny5QAUFRWxfPlyNmzY0LiN0+nkjTfe4Mwzz4x7jFNOOYVZs2Y1/nzzzTfzySefsHbtWpYvX87MmTNZvnw555577nbHJURnUB8sIhBtSEDoNZmsdC6Ou507XI0zVIVG3btZncvzMpEueMMhRGcTiNax1vVR488qxcA6z7K421YFNuCLuInG4t+8uryvEKUqbt3O8IWrmiUeNyv2fIU/UtNq5xKiLYVjHsp9P/2rLMymQPyObxu8vxCKhTCos1CiVURj8ZP69d5XW7XNCSG2rdj7LdFYsFl5nvUAllS/HXefSCzEGvePOCwXN6vz+D8lhrvV4xRCbAdZ81GITs0dKuP32pfj1mlVdv52fRe3rj5UgSfsRE3TmXLq3E8QDMl7po4WjVZR734hfl3MjS+4tJ0januBSFWzxONmFd4vCcfi3wv6I9W4w/E7qRV7viIU9VDp8vLCN/Hf4XiDIX7ZGD+xuT0CEQ/Laj5i6451W/u+6k3qgzt/fCE6i1abdvWKK67g4osvZvny5ey9994oisLXX3/N7Nmzefjhh7f7OD/99BMHHnhg48+XX345AKeeeiqzZ88G4LXXXiMWizF9+vS4x9iwYQOqrYY919XVcfbZZ1NeXo7dbmfEiBEsXryYMWPG7MQnFaLjuLbqkROOBYgSTrhtfWgTmdr+hCNrm5RHY26IhdosRiFEg0g0SGSrHmzBqLfF7b2RetSkxe0cEIt5icV5IbuzfOHqhHUxooRjvlY7lxBtKfSvdqXDgj/Scg/UQNSLTp1KOJK4h3Ys5pFrpRDtzBVcH7dcUdS4WrhuVQdL2M3YN05NlGhUko9CCCHEv0VjITwJRoSFogFiRBPu6wpVYdP1IhLc8twaipQQi7X8vCvaQSxENJZ4prNQeG3CumTlj7SU9I4STvAexhuujFsO/7wTifoIRyK4/IGE262rqtvOKJsLRn3UhSoS1jtDlYRjid/5CpEsWi35eN5555Gdnc3999/P66+/DsDAgQOZd51XGgABAABJREFUO3cuRx111HYf54ADDiC2jV5yZ599NmeffXbC+oULFzb5+cEHH+TBBx/c7hiE6KxSdP0a/79W0aNTGQlG4ycJ0nQF+Gub92pSqzJRlOSZr16IZKVW6dGpbASjDTf/erUFFWqiW01rszWbNp36BKOS1ar0Vm23Zm3itQNUig6tytJq5xKiLelUVhTUjdNFBXFj1qQk3F5BhUFlxRcuQ6vtl3A7tSodFF2rxyuESCzdMIRVzvealUdjQdL1PagKbIizF+QZB+ILfNKsXMGAStX11jUSIinImo9CdGpqxUiKvi+ecFmzOp3KgEbREU7Q+TVFn4vH3XRKVr12EIrK3iaxiu2nKDo06hzCkeb/rgAG3Y4vXdbZmVpY01Gl6BO+27Bo8xLup1b0aFVmIhoN2XYL5fXxO7MNyc/asWC3oldZyDb0Zb13Rdz6DEMvdPLuVnQBrTbtKsDRRx/N119/TXV1NdXV1Xz99dc7lHgUQrTMos3Bpu0BQH3gb/ZIid++sgy9sWgscUdQOayXoFZ6tGmcQggwqjMZlHJS48/BcBWD7QfH3baneQR6lRGtplfceof1IlQkvjne8djSyDSMiFs3wH4sRnVaq51LiLakVVnoZT2saWEsSG/LHnG3H2Q/EJ1KSyhaRzCmQqsujLtdivViVOS3drhCiBZkGodiUKc2K/+77lX2yzg57j4mtZ0C00Bc3jnN6uzmk1BizY8nhGgHMu2qEJ2aWZvBkJTTUOK8FvYENzIi5Yi4++UaB2BQNNBkWnMtDstZ6FroACjah0rpQYr1srh1GnU+Os2Ado6o7WkVOw798Lh1PazT0Kni/17qVQ4yDEPi1vWzT0GvTiHTZuaSCePibpPrsNI3a+ffm+jUBoY6xqOJk2BUUDEu/QSsuoydPr4QnUWrJh+FEG3LpivggNx7yTaO4ttNNzDYfgB7ph271cVKobdlD6bk/weTSsGg26txX5ViIdU2C7PhYDSaVhv0LIRIQKc2Umgdz5CUmWgUI4tKr2Rs+rEMd0xErTS0QQUVu1n35bCcC7HrsslJexGDfmzjMRTFTIrtasyGQ9FqW6/Xm0GTwj7ZN9PDcmDjA6dK0THQcSKDUmagUUkPO5EczNoMhqaeQV/bUagULQBflV3JIdnnMtC235bfbzQMsx/Cvhkz0CoxhqTfwt+1z+Nw3N3sWplmuwaz4ZBWbXNCiG2z6XowPu8R0vQDG8t0Khvpht3J0vfh0OwLMaq3jGTMNvTjhMLb0eLCpD+EzY+2Cnrs5pnYLWei00lnGiGEECIeoyaT/XPuwqTZsn6jTdsDg8bCHqmTGJ06BU3jTCAKfS17Mjn3StzOaxu316h7kJv+IvxrDUjRMTQaDSb9/qTZrkOlbLlnMujGkJv+Cjpt/M7OycysK2BYxh1kmg6ExncbegptM+hpm5EwKW7V5bJ31o3km/dtfGZUK3oG2Kcx0H48Bo0dRVHYf7de/OfIA7Dot8yKM6pnLs/NPJZs+67NsGHUpHBC4W2k6rZ0erVq0jg6/z9Y1JLMF12DEtvWHKfbKSUlBSXO1BqKomAwGOjbty+nnXYap59+emucrt05nU7sdjv19fXYbLaODkd0c+5QGaGol0jUj16dRTDmIxDxolUZ0KmN2LUNN36B0EZiMTfRmB+VyoaadLTarj8VhrRX0ZkEQk78sRpCEQ9qlQGtkoI/5iYY8aFVGTCoLVi1aVttv5FYzEM05kOlsqImE622bX6PgxEPgUgtoZgPrcqMUZ3W7olHaa+iNfjCNQSi9YQjXjQqEzqVmQhq/BEPoagPndqEQWXBom14iAuHvfijm4hEfehUBlQEica8qFU2FDLarM0lO2mvoj24giWEol6isSBatRWjOgOd2kgw4sMVriYQ8aBWtOjVRjSxIOGYG4PajoKXaNSNSmVFiaV2+8SjtFfRkT5Ztz/BaC2Tev/S0aEkBWmvoqOEQiF8sXKCURcKKrSKGYMqC41GjTfiJhBx/vOuSY9OMaBXaVBwE4vWA6CobOi7YEKrJcnQXkOReqLRKqJRJ4piQKVY0LUwPWlX4A2XE4m6CUe9aFUWNCo7Bs227wU9wQpCMQ/haMM7Eb3ajuFfCctQJEKly4PLF0CnUZNiNuIwGVst9tpAKYGolyhRDCozVlUmWq221Y4vREdqteFP//3vf7n99tuZOHEiY8aMIRaL8eOPP/Lxxx9zwQUXUFRUxHnnnUc4HOass85qrdMK0S1ZtDnbtZ2+i99cCJEM9Fobepo+lFhIPA1ce7ZbndqMTm1ut/MJ0VaMmlSMcdrV1on9rWk0Jiz0bOOohBA7w6qLP824Tm0kTS3TIQshhBCtRavVoiX+86dFY8eiidd5Pb1tgxK7TKu2g7rrDzzYmkmTvVP7mXXbXrdRq1aT67CBY6dOsU0p+ty2ObAQnUCrJR+//vprbrvtNs4999wm5U8++SSffvopb731FkOHDuWRRx6R5KMQQgghhBBCCCGEEEIIIYQQXVCrJR8/+eQT7r777mblBx98MFdccQUAhx9+ONdee22zbYQQDcLhMO5oGQAaxUA4EkUhSAwFiyZb1moUohWtr69l87zjPe1Np9WIxaIEIlXEiKJWjOj+1WvQH3bijzohBlqVEY0SIRLzAqBRHOg0jnb4BEJ0XZGIj0C0AmhYr9GgbTraqT5YQuyfFmxR7dr1MRAOU+pxAqBVqcm3dq9ewkLsimDESSTmRUGFXp2GoqiBhnvajR4XEMOg1uDQu4gRAhR0Sh4ajQZnsIwoEYiBQy8jGoUQYleFoxGqfF5isRgWrQ6r3tDRIYlOJhCqIIIPBTURdIRjIRTArtu163CF2403EoQYpOhNOIzyu5es/KESooQA0KuyUKubTy8aiQYJRmuBGFqVHY2q9aYg3RW+0EYghqJoMWi2b8a47eUMlhMlDIBJnYYuzveys2r8XuoDfgDMWi2ZJiv1Pj/eYAiVSiHdbEKtUrXa+YRoT62WyUhNTeWDDz7gsssua1L+wQcfkJraMA2Wx+PBat21xViF6KqcoTLWuBbza+1bDLNPJ9eYy8b6+3AFf0OnTifTfAYZ5sOw6Vv3AipEd7PRWcfKmk08sOwb/q6tIt9i59yhY9g3txcFNjv+cBWl7o9ZUz+bQKQah34ou6ddjk3XD43KRF2wmGXVr7Ha9QUOXR4HZV1AhetFqnyfokJLhvkICuxnYtL27OiPKkRS8oU2UuF+h1LXHELROuyGUfRyXIFBnUOAKHXBEpZUPUulfxVmTQbDUo6ll2UcNt2OXx83uup4d80fvLhyOdU+DyMyc7lmj/0oMNvIkSSkEAlFogFcoTX8Uf0ANf6laNU2ettOpsA6mUqflvlFf/PcHz8zviCXmYNSWOl8BFfwd/TqDPJtZ2ExjOWzsnupCqzGos1keMrxFJr33Kl2LIQQAso9Ll79awUv/rEMVzDAuNxCZo3Znz72NHRqdUeHJzqYP1xPOFJKUd1D1Pq+Rq0ykm4+CovhIL6pfJHBjsnkm0dg0+7Y9I++UIiN7noeWPo1X2xcg1alZnLvgZwzZEyzDr6icwuEKvBHSiiqvZ/6wFK06hRyLSeSZZmCcauOoN5QKWvqZ7PR9T4xwmSbxjMg5TzM2h4oitIhsfvDZVR7v6DY+Sz+cBkW3QB6Oi7FohuMXrNr0wS7Q5W4w5v4vvJpyny/YlDbGeSYzG62Q1vlvrWovoanfv2R99auJByNcHBBXy4buTdZejMHP/osDpOR0/YcwdFDB5FhlSVzRPJRYrFYbNubbdvTTz/Neeedx+GHH86YMWNQFIUlS5Ywb948nnjiCWbOnMn999/PkiVLmDt3bmucsl0lw4LCInk5g2V8V/kUa9wL6WXeh+GOA/m76txm2zkMh9HD/h9SjDs3l3l3Ie1VJOIM+Hhv7Z9c/+1nzerO2H0UZw/dgxLXzZR5P/9XrcJe2U+i1eTz/sYrcYcrUKFmSsFtrK66gEjU1WRrvSaPoVnPSwJyO0h7FVvzhTbwV9V/qA8s+VeNmmFZL1EbDjK/9Lpm+/W3TmBMxunYtnNNZIAN9XXc8N1nLCwpalKuAC8eehz75ffaiU/QtUl7FZvV+lfwTelpxIg0KR+Wtoi7f/6KD4v+ZFBaJg/um0656/Jm+6caJ+JT7c5PNa81lg20H8mo1JOwbcfaO2LbpL2KjvTJuv0JRmuZ1PuXjg4lKexqe93kdXP25++wrLKsSblWpeL9yaewe1pma4UqkpQ7+BfLyo4jGvM3KTdq+pBuu4SPy+5mWMpxDE05Bqt2+6/Dq2urmfLBS7hCwSblBRY7Lx12HL3szddkT3Zd9fpa6/ueXypOA6JNyh2GveifdjtGbQHeUBnflp2OL1zaZBuNysp+ea9h1sZfP7QtBcJVrKt7mHJ381zDgLS7yDRPRqXa+bFXJZ7lvF98BbF/fS+5xuEcmH0Vdt3Or9dYVF/DSR+/TrHb2aTcptPzzpEzqF+7nhPnLQZg7149uG/KRNIspp0+nxAdodXG7J511lksWrQIs9nM22+/zZtvvonJZGLRokXMnDkTgCuuuCIpE49CtLVA1M0a90IARqQcz4a62+NuV+f/GJS69gtMiC6myufjnp8Wx62bvXIp7lAoTuIRIEaKbg/Wu7/DHW6YCrKXZRy1ng+aJR4BAuESan3xzyOESCwQqYiTeASIsKb2drzh4rj7/e36jGDEu0PnqvJ7miUeAWLALT98wfr6uh06nhDdRSBSy69VdzRLPObyPM5QkA+L/gTgomEDqPXeG/cYNb75FJh2R9nqcXRl/UeEY762C1wIIbqoVXXVzRKPAKFolNuXfIkz4I+zl+gu/KFNrKt7tFniEcAXXoMGJzZtDr/UvkU4uv2/KzVeL0/9tqRZ4hFgo7uer0vX71Lcov34QhtYU3sn/048AtT5vycY2QRApe+bZolHgHDURVH9K0SizX8X2lo4Wku5+/W4dWtr78EfKdnpY9cHy/im8n/NEo8Apb7leMJVO31sgEXFRc0SjwDOYIBnf/+ZwoEDGsu+LdpASX3zbYXo7Fp1wuBx48YxZ84cli5dyrJly5gzZw577703lZWVrXkaIbqcCt/Kxv+vUcAf3phw21rf8naISIiuqT7oxxkMxK2LxmJscNaxl3VB3HpftJYi97eNP+cZB+AMfJfwXFXeBfhDm3YtYCG6mVrf1wnr3MHfsWrSEtZXBVbt0Lm+L098rV1VV40vEtqh4wnRXYSjHuqDK5uVD84bzPLKLS+kcswqApHmL8M384UaplzdIkZNoHmHACGEEC37dH3ie6BvStfjjpMcEt1HFA91vm8S1rv835BpGECMKM5Q+XYfty7oY3HJuoT1n6xfRZXHsyOhig4SjQXwxLm326zG9zXhaJhS9ycJtyn3LiIUbf/kmDe0hobuo82FojWEdyGmSCzQ4jPmRs9PO33sTR43n25YnbB+cUkR9cGmf7u/LZKEvkg+bbZaaSwWY968eUydOpX8/F1buFiIrk6v3jJvt0rR0DDpW3xataybKsTO0m5jkW6TRkelK36HGbWiQafaMsVFKBZErSSec1+tMqNWtDsXqBDdlEaV+BqnoCWW4MESQKfasTUwbDp9wjq1oqBR2uw2WYikpqBCofn0VZFIBJvOsFVJy2uMaVRmwtGmHYK0O9iOhRBCgENvSFhn1Gg7bB020XmoVZbEdYqF8D8j1rSqxL9L/6ZSFCxaXcJ6i1aHTr3z012K9qMo6rj3dptpVDYUYmha+D3SqEwoHfD81NI7GQAVO/9ORkGFqoXvRa9O/H1si06jxtpC+zFrdaj+9afbZtj+9ilEZ9HqfxXWrl3L9ddfT48ePZgxYwYmk4nXXntt2zsK0Y2l6/s2Jilqgpuw68fF3U5Bi00/qD1DE6JLsWoN9HPEHznl0BvIMptZy0lx62NBHYMckxt/XuX6hjTzUQnPlWudjlaTsmsBC9HNpBr3I1EHnEzzEVQF4k+bo1H0pOgLd+hce2YXoE7wMm58Qd8WHwaF6M506hTyLIc3K19Qvhe7p2WiVzckHb8urcWm3zPuMRRFh0qVhS9S21imVZmw6bZ/3VYhhBANjui1W8K6E3cbRppB1gjrzvSqbLIt/8/efcdHXd8PHH/d3nfJZSeEvXHiYDhAQREXbq1b6mjVqrXOat0Wa61aW38dWge1bip1oKCoKDhQ2QjIzt63cnv9/gACIXchIZdcLryfj0cemu/nOz4Jed/3+/28P+O8pOVWw4lU+JahV1kxqjr+/jrQZufiEYcmLb9kxGFY9ck7+4neQ6Uwk2s8OUmpArvhWFRKDYNsFyc9x2DrpehUPb/Gp15TmjQBadaOQa2y7fe5tUozgy3HJylV0N901H6fO0tn4GcjD0tafsmIQ+ln3N0xV8GOdR+FyDQpST4GAgFeeeUVJk+ezOjRo1m5ciXV1dV8+eWXvPLKK5x99tmpuIwQfZZWYebEwrtRoOTrhv9jYPZdaFV7L/KtZIj9jxDvOwtaC9HTBtiyePL409qMeNIqVfxl8hnk63Qcnj+LvZMfelUBaJvI1pYywrLjobwhuImYsiRhw2qB6WwM6oHd9WMI0WeplCaG2n/XZrteXUr/rBsYaD4ew16NIgqUTCn6LVo6N2LKrNYx65hpbVKdJWYrdx41iQKzzDQgRCJqpYER2ddjVJe2KTOpNPzp+FNRKhQ8t2YdBt1v0Khy99pLxWD7QyxzvNuyRYmak4ruxajc/wYiIYQ4UBWazNx79OQ224dn5fDzMUeiVbU/El30bSqVgULzOZi1B7UpK7RcQbn/J+JEOanoPnTKznWendp/KOML2z4PXDj8YAZYs/a3yqKH6dT5DMy+GX2CZ7th9vtR7ZyZwqIdSn/LuW32ydNPIN94bLfXMxGtqohReU+h2GuEo1qZzYjcWejV+9+xzaSxc3TulVg1xW3Kjs+/GbWiax07BluzuGDYwW22Tyzqz+TSwRz02F9btj1y+knkW2SGEJF5FPF4PPn8VR1w/fXX8/rrrzNixAguvfRSLrroInJyctBoNKxcuZLRo0enqq5p5Xa7sdlsuFwurFZJ/ojU84brCcQ8bPJ8jhIVwy2TcAdW4gl9hVrZjwLTKcTj2WQZ9m7AEXuTeBXtCYfDlHk9LK7cyvL6GoZl2Tl5wDBydCbsRgORmJ9ApJYq73x84QryjMdi1x+KQV0IgCtUhS/SyE/uT4jHYxxmP4NYrIl677so0FJgPgOtKh+Dpu2Du2hL4lXszR+qJBp3U+t9n1C0HrvheCy6gzFqdoxsdIbKqfKtpNq/GoumiCGWSWiVZiyavE5fq9Ltxh0O8O6WddT6mjm2ZCCH5xUxyNbzvXYzgcSr2JM/UoszuJZa72fo1QWUmE9Fry6gwRvFHQ7ywdYN+CIhZo4ZAPE1uAJfoVcXk286jSgGynw/UONfQ5amlMGW49ApLJi0ydd1FZ0j8SrSaf62SYRiDs4YvCrdVckIqYhXdyhAdbOHuZt/pDHg45SBwxltz6fQJJ2pxA7+8Ha84c00ej9GpbRhN06lIVSHJ+JgkPlY9CobRnVWp8+73eVkm8fB+1vWoVOrOWvIGPL1JvrbOn+uTNCX76++8DY8wTU0+b9Aq8qjwHQ6KoUVg7akZZ9Q1IEvXElF8wdE40H6mU/DpBmAXp2+tspo1EcgWkWDbwG+8FZsurFkGSZg1AxMyfmdoQrqAxso8y7FqLIzzDoFndKCRbv3oJHO2+52UO/38c6mtYRjUU4fNJL+liwUTjd/X7mBIquZ08aMoNBqwaSTmXlE5uly8lGtVnPnnXdy1113YbHsfqiR5KMQIl0kXoXIHBKvQmQOiVchMofEq0gnST52jsSrEJlD4lUIITquy9Ouzp49m6VLl1JUVMSFF17I+++/TyQSSUXdhBBCCCGEEEIIIYQQQgghhBAZpMvJx4svvpiPP/6YNWvWMHLkSG644QaKioqIxWL8+OOPqaijEEIIIYQQQgghhBBCCCGEECIDqFN1ooEDB/Lggw/ywAMPMH/+fF544QUuvfRSbrnlFs455xyeeeaZDp3niy++4I9//CM//PAD1dXVvPPOO5x11lkt5VdeeSUvv/xyq2PGjRvHN9980+5558yZw+9+9zs2b97MkCFDePTRRzn77LM7/XOKvi8ejxKJVuELfkcovAm97jD0moPQqNsuMJxMQ6Aef6yZNa4fKNINwKYcyLdV5Wx3uTiisJjhOblolT/ii5aRZ5iAAhtmWeNGiKQaAg2E437WupbjjTZzsOVYQmE987dsJhiJMGXgYPJMJvrvx6L2/rAHf8xFpe9HGoPlFBiGUqAfQiC8HmdwFXb9EZg0g7FoM28Nx0ikhmBkA77At2jUpRj1E1GrilAqZK0A0T3qAg14oz5+aFpJlChjsw7GqrFSoM8jEGnGF3VS4VtLU7CcQsNw8vVDsOtK9n3iDip3OXEEA3yydTNxYOrAIWTr9V1ec6YhUEcw5meNexmhaIDRtsOxqbPJ1Xd9nQ8h0qk+UIsn4mCtazlalZ6DrEegUxrI1bdeQ7XM5aTM7eLL8u3Y9QZOGDiILD14Y9vZ3rwCkzqbQZYjCEXifNm0grFZh2DTWMnXZ9Za5eFIJYHwGgLBleg0wzHojkCtKkGh6HKfXSGEEKLDHMEq6oKbqfb9RLauhFLjwVg1+aiVmqTHeCNeXGEPwbAfm05DpW8dTaEKCvRDsWgK2dy8hRLtIZS5fHxTWUGJxcbEfqXY9UbsBkMP/nSit6oP1tAQrOUnzxpsmmxGWg5BpzSQrdvdXukNVRCJe6j1LSIWC5NvOh6dKgeTpl+7545GXUSiNXgDC4nFQ5gNU1CrSlCr7F2udyQWpS7oYqVjO2XeBsbY+jHcWky+3tblc3eUK1RLINrMJs83RIkwxHw0JnU2WdrCTp+rztvMFqeDJRVlFJhMnDpoGI5QkKVVFWx1OjisoJDRufmY9DG+aPiacCzM2Owdz94Fez3Dp5s7GKDW62Xhts2EolFOGDCIEosVu8GY7qqJHtLlNR/b09TUxOzZs3nxxRdZuXJlh4758MMPWbJkCWPHjuXcc89NmHysra3lxRdfbNmm1Wqx25N/WH399dccd9xxPPzww5x99tm888473HfffSxevJhx48Z1qF4yp/eBIR6PEQitorz+fOJxb8t2lbKA/vlvo9UM2ec5GoJ1LKr7kC8aPuKorEkM1pzMVe+/RzC6ezrifhYr/z7zbOp9s6gLfMYRBU9g0RwqCcgUkXjtWxoDDaxvXsFb5S8QJ86knHNYV5HFc8tbryEzbdBQ7j12MqXWjj9ghsNh6sIbeavsd4RivpbtJnU25/d/iB8b7sIT+gmTZiBHF/wVs7Z/yn6u7haKlFNRfxHhyNaWbQq0lOS9gkF3dK9JQEq89h11gQY+qvmUD2s+abV9vP0Irup/Ie5YJW+X/Y5QzN9SZlbbOb//o+TpB3b5+uUuJ39dtpQ3flzdavsFIw/ixiPH7XcCsiFQxzLHEj6oebPV9hGWg7mw9GpydPn7W+WMI/HatzQE63i7/AXWeVq/p51SeC5HZx9Pjn7H33aZy8VNH7/Pitqaln0UwKMnHIfOtIjN3k93blNyWsltxOPZPLL+/5iQcyQXlp7d6xpBkgmGN1Fedx7RWF3LNqXCTL+8N9FrD0WhUKSxdp0n8SrSSdZ87ByJV7GnhkAZb5bdQ3OkoWWbRqHnvP4PU2IYiVLZdhyJP+xnq6+MNa4fOTZ3FG+V3UswtrtNy6YpZGreY1z13nuUuV0t23UqFf+YPoND8wrINkoyoCP6arw2BGr419anqAqUtWxTouTSATcw2DSCbF0OvnAlW92vs8XVelBQoXEKY3J+gzFJAjISdeDwPEeT5+lW282GGRRkP4Ratf/PitF4jB+d5fzqh38RiIZbtufprPzt6GvoZ+z+jnDOUDUrmuaxtOntVtuHWSZyQsE1nUpAVnncXD1vLj821AOw/PJr+cnt5Mr3/4t/j2XuCk1m/n3mubxd8wqr3Dtmnjwq+3AuHXB+r+n85wwE+NfKH/jL960HjJ0+ZAT3H38CeUZTmmomelK3duG02+3ccsstrRKPVquVLVu2JD1m+vTpPPLII5xzzjlJ99HpdBQWFrZ8tZd4BHj66ac56aSTuPvuuxk5ciR33303U6ZM4emnn+70zyT6tki0hsqGy1slHgGisVqqm35FJNq0z3M0BGv4ouEjAMZlncG18z5olXgEqPC4ue+LTym1/pY4EZbV3k4cd+p+ECH6kGDc15J4NKiM2BjZJvEIMH/rJr6qKEtwhuQ8sTrmVjzSKvEI4I04+LDqaYZn37Hj+/A21jv+jDdUv/8/SA+KxjzUOx5olXgEiBOisuEKotHaNNVM9GV1wfo2iUeAb5p+IKJoZm75I60SjwDNkSY+rHoKZ6i6y9df39TQJvEI8Ob6Naxr3P/YbY662yQeATZ4VrPSuVTWOhcZa43rhzaJR4CPaubgjjgBaA4Gmb16eavEI0AcuOezLxmon45i5ytlnBgfVD5BgWHHu9nXjd+zsTn5e19vEok2Ut14Q6vEI0As3kxlwxVEojVJjhRCCCFSxxNu4KPqp1olHgHC8QBzKx7GFalLeJwj4ubJn/7G1IKj+F/Fo60SjwD9DcfwyOLFrRKPAMFolOvnv0dTMJDaH0RkFE/Ixfzaua0SjwAxYryy/VmC8R1/H75IZZvEI0CNbyENge+Tnj8c2dwm8QjQ7P8fvsCSLtW9IeDmN8tnt0o8AtQH3Ty8eg6ukC/JkanjCte1STwCbPR8RZm3Y4OxAAKRCM/+8G1L4hHAEQlz3Yfvtko8AtR4m7nrs4+5sPiSlm3fOZaz1r1+P36C7rHF2dQm8Qjw/uYNLOlk253IXD0+f0wqBlp+/vnn5OfnM3z4cK655hrq6hLffHf5+uuvOfnkk1ttmzZtGl999VXSY4LBIG63u9WX6Psi0WqisYaEZYHQCqKxxnaP94Q8fNmwAAC7No8Kt5fmcCjhvl+Wl9McigIQI4wjKL1C95fEa9+2wvENcXbcO0aZx/LOuq1J9529egXbXM4On9sbceCNOBKW1QY2o1TuHkVZ4/2UKJ4OnzudotEmmgPzE5bF434C4XU9XKPdJF77Jne4mQU1nyUsM6vNNEea8EWdCctrAj8RinbtpbCmuZmXVi1PWv7SquVUN3c+fqPRKF83fJq0fEnDJzRFEj839AUSr31XXaCaxTufWRP5uvEzwtEw9X4fb6xrm9SHHQnIL8vqKDIM32NbjG3Ny/hZvx0dSefXfEp9oPfHSDTWSDCc+OeMxuozIvko8SpE5pB4FckEoh6q/ImTB/6oG3c4cftnQ7ARb9SHP+rBk+DZNE9zJJ9v35bwWF84zE+Nvf9enS4HQrz6Yl6WORK3kceIsdGzhlAkwDb3G0nPsc31Gt5wRdvjYyGaPP9KelyT529EOzDQI5nqgAN3OPG75ErnNpxhb8KyVAlGPKxo+iBp+TLHex3uaNvo9/H2+h9bvv/2vEupavbgTNI54IeaKoJ79YNdUPMZtYH0d5oPRSPtvp//c/l3NPm7PzEs0i/jFq+YPn06//nPf/j000/505/+xHfffceJJ55IMBhMekxNTQ0FBa3X5CkoKKCmJvlL5KxZs7DZbC1fpaWZt9aX6LxYrP2GyXg8+d8ZQCQewhdpBsCstuAI+Nvdf88RkaHI/t9sD3QSr32bJ7L74V6rNOIIJI9DR8BPLB7r8Ln3HvG4t0h8d+eBOFFi8XA7e/cecUJA8t9DNNp+R4ruJPHaN4VjITyRxC92uRp7m97XbY6PJ+6o01GhaARnIHmPbVcwQCga7fR5I4TxRpM/G3ijzcTbibVMJ/Had8XjcXxJYhagOeImHIsQj8fxhJLHZ6M/iFbZepo2b8RBlta68zxeIvHOx15P29czfize3EM12X8Sr0JkDolXkUxkH8/EgWji+5E34sWsNhCOJX4ejsRitDcUpHEfbVcHsgMhXmPxKJF22jrcYRcK4oSirqT7hGIu4vFEM8KEiSUZ5AEQjTV1qZ3FE25/1G441r2z1ITjIfzttCUHoh5iHXwWjsRirdqJTSZTu++4QJuZ9jwRL9Fe8OwdicVobCe56AwECMf67nu02C3jko8XXnghp512GgcddBBnnHEGH374IT/99BMffJC8lwHQZo2OeDze7rodd999Ny6Xq+WrvLw8JfUXvZtG3Z8dq9i0pVSYUSmz2j3eqDIzwnIwAFW+CkbYk8+znWMwYNHuXnMtW39YZ6srdpJ47dtGWQ9t+f+qwGYmlhYk3Xd8cSkWja7D57ZpCkgW8xqFHp3S0PK9QV2CSmFIuG9vo1SYUauKkpbrtYf0YG1ak3jtm8wqE4fYRics2+YvI0tTRLJY0yqNGFTmLl0/26hnYr/kDQETS/qTo9N3+rw6lZ7R1sOSlg8xjURLxz9zMo3Ea9+lVeoZYh6ZtHy09XCMGgMalYrDC5LfTyaU5NMQ3NZq2wDTYXxet2MKrTHWkZjUvX89F5UyC4Ui2VpXCjSqxGsY9SYSr0JkDolXkYxOaUanTH7ftGsT34+KDYU0R/yY1faW6dD3FFd4yG9nfbVD8pO/Yx/oDoR41Sg0FOhLkpYPs4xGgYY8w4Sk++Toj0KtbLsGpkJhxGSYlvQ4k34yqj1mnOqsUmNO0jKLWo9Z3b1tOHqFjUGmsUnLS40Ho+vgu65Jo2GYfffP86eX/8GQ7Oyk+1t1Oiza1u+iY6zDMavSv36rQa3hpEFDk5YfWzoAq67vvkeL3TIu+bi3oqIiBgwYwMaNG5PuU1hY2GaUY11dXZvRkHvS6XRYrdZWX6LvUylzsRl/lrAsx3Y7KlX7D2Q6tY7DsydgUluIECKsbOTkQYMS7nv7+IkY1Dv+Lu36sehU+V2r/AFM4rVvK9KXtjwIl/k3c1S/bPKMbR+m9Go11409kjxTxxs5NUoDB9mmJiwbn3sBjd6FLd+Pst+MRdu/k7VPD7WqkLysBxKWmXQnolZ1fMHzVJN47Zt0ah3jc47Eqra0LVNq0SoMjLGemPDY8bkXYkjwotoZFo2ei0YfkvAFxqrV8bMxh2DWdz75CDDUPIZsTdvORCqFmlOKziVbn/yFN9NJvPZd2To70wrPQaVQtynL0tgZbhkDQKnVxl0TjkOZoNPm0Gw7OWYvzXvM3lGgH4pVk8+65o3olDpOKTwRq6ZrnQt6gkpVQK71toRlNtOlqFTJOxT2FhKvQmQOiVeRjEWTx8S8ixOWjbJOxqBK/LdiVBsYZz+CYDTKodmntCnf5JvLnRPGJzx2Uv+BZOszo5NtOhwI8ZqrL2RGceK/u/7Gwdg1eajVaopMU9Gq7G32USkMDMm6Ar26bZlCocBiOAWVMi9BmQG75Rcolfv3ngZg15k5peiwhGW/HDaNPF3b99NUUqvVDLNMxKRqmyRUK3QcnXMeJnVWh86VazTxwLEntHz/ImBSazl96PCE+9905HgaI7vXTtQqtZxePA2rNv1/owqFgpMGDUnednf4URjUmjTUTPS0Hk8+tjfacH80NjZSXl5OUVE7PXInTODjjz9utW3BggVMnDgxpXURmU+lspKbdSe5tntRKXfcNNWqEgrtf8FmPA+lYt8fjAX6Yn419HccZD2CV8qe5M5jxvGrI49saRAdYMviryefwvGlJfxQdw2DrJdyWN6jmLXJexkJcSDL0xdyzaDbGGefjFqh4aP653nu9JM5bcgwVDvvKRNKSnnr7AvJM3Wuh5dNm8/EvEs4Lu8KjKodve0s6jymFd3EAOMQNrqexawZxJEFT2NJ42jBzlIoFJj0kyjJfQmNeggASoUFu+VmCnP+hFrVd5MlIn2KDAX8bvRvODL7MJQoUaDgIOso7h9zByqViWPyL+XYvMtaGk2smnxOKbqZUdbjMWj2v7frLv3NFt4860JOGDAIpUKBApjcfyBvnH0h/c37/9KZry/kl0PvZmzWBFQKFQCDTSO4adh92BK8YAuRKSyqLG4adj9DTDtGQCpRcVjWeK4feg/5+t3vVgOsWbxy5nkclLejo5xOpebCUQfx/Gmnscn3LgAahY7Dsk9jRr/f8vi6f3GwbRQPjLmdHE3y3tq9iVKhxWa6gEL7M6hVO57JVcoc8mz3kWu7DZWyexuuhBBCCACNUstIy/FML7515yw9YFBZOSb3EiblX4VZk/jZM0+Xy8X9z+XrpjUcZT+XSflXYVRlAWBR5zLMehxD8uDpk6cwyLbj3mzV6rju8CN5ZNJUSq1dfxYXma1I35/rBt9JsX5Hh2utUsexuSdzxcCbydXv+Fs0awcwsehfFBqnoGDHe1GufhwTi19EmyC5uItG3Y/++XMxG06HnccZdcczIP99NOoBXaq3VWPkVyNO5ZfDTsaq2dEeVGzI5uFDLmJK4SGolKounb8j7LoSLhwwi+GWiS0jj/sbD+XigX/Eok7+e0nksIIiXp1xPiNzdnR827pyJXeOP46bj5xA1s6ZfPpZrDwx5RSmDBzInzf/HYAx1hHcP/p2bJqs1P1gXVRisfLW2Rdx2pARLW13x/brz9zzLmaAfOYcMBTxeLy9ab9TzmKxsHLlSgYPHpywvLm5mU2bNgFw+OGH8+STT3LCCSdgt9ux2+088MADnHvuuRQVFbFt2zZ++9vfUlZWxrp167BYdrwUXn755ZSUlDBr1iwAvvrqK44//ngeffRRZsyYwf/+9z/uvfdeFi9ezLhx4zpUb7fbjc1mw+Vy9cleLqK1eDxKJFpHnDAKdGjUnZ+CwhFoJEQQ4qBXWXD6g0RjcTQqBQUGI4F4DQqUaBR29Br5m0olide+yRVyEYh5icfjaBQaYlET7lAQiKNTaejXhX/rUNRPc6SJGFGUqDCrsgnG6okTRYE6Y0Y8JhKJ1BEjgAI1alUeig50ouhJEq99T2PAQXDn+mlapYZc3e5k945YayS+M9aydamfyrC62Y0/HCHOjuleii2pSRo4gg7CcT/xeBy1QkuOvnMvkn2BxGvf1BCoJxoPgUKBTmEgS5c4YVjmchKKRlEqFNh0enKMRpyhKqLxCAqU6JQWXJEda0ZpFBryMnRUcDhSQ5wQCjSoVfkoFN3faNUdJF5FOs3fNolQzMEZg1eluyoZQeJVJOIM1RCNh1EqVFjVeaiU+36P80f9OENuzEoDYdw7n7m1xOJqwvEQOqWO5oCaQDSKWqkk12TAotn/UWcHor4er/XBGqKxKEqFEpPKjEnT9l3KH64jGvcBcZQKPUZN8gFBe4rGmonFnDuPs6JSpS4BFY1FaQw1E45F0SrV5Ol7/t/GHW4kEvMTJ45aocOm3f8Z7hp8XvyRMCqFklyjkVA0Rp2vmWgsjlqpYFCWnaaQg0A0SDwOWpWGPF3vfPb2hkM4AwHi8TgWnQ7bfiyHIjJX23l2UiQajbJ69WoGDBhA9h7zE3/44YeUlCQf4fX9999zwgm7hxjfeuutAFxxxRX87W9/Y/Xq1cyePRun00lRUREnnHACb7zxRkviEaCsrAylcvegzokTJ/L6669z77338rvf/Y4hQ4bwxhtvdDjxKA48CoUKjbpjN89k9p6GzaZtfcPWkjgBL4RIzKa1YaP1w2lnplhtj1ZlwK5qfW/S0rUeeL2FWi1TOouelaNPPtJpR6x179ppRebuedHM1mUDmTGKS4jOyO1gIr2/LavNtixtcavvTSkYxZxuGnX6piYXQgghdsnSdv5+ZFAZMBh2TaGa+Jk4W5ZZE+3I0+37786g2b82BpXSjErZPdPxq5Qq8vXpfQ61alKX/Mvda41WrQrM2tYjn+3azHg3NWm0mDTadFdDpEnKko+33HILBx98MD//+c+JRqNMmjSJr776CqPRyPvvv8/kyZMBOPbYY9s9z+TJk2lvMOb8+fP3WZfPP/+8zbbzzjuP8847b5/HCiGEEEIIIYQQQoiuicfjKV96RwghhBBCZIaUJR/ffvttLr30UgDee+89tm7dyvr165k9ezb33HMPS5YsSdWlhEirpmAtoViQGDF0Sj05O3sFRSIRakONBGMhNEo1RqWBHH1WeisrxAGkMVhLMObfOfWbDrtu93TJwUiQhrCTYDSEVqnBqDZg1ybvFReIBnGF3URiEfQqHdnaLJSKHl8mWYge4Qk58ce8hGMhtEodFo0dvartVCgNQQe+aGBnXGgpNnR+SnIhRPdoCtYSjAWIw87n067FZ5W/jmAsiEqhwqDS9dppnIQQQoi+whlqIBgLEImF0ap0ZKvyUavbNtvWBOrxR4MoUaBX6SjQ56ahtkJ0XlOojlA0sLM91dDl59WeEo/HcUccBKM+VAoNZrUVncqw7wO7mSfcjDfiJUYck9qILcGSXs6Qh+aIl1AsjE6pJUttw6SVaU9Fz0lZ8rGhoYHCwh1JmHnz5nH++eczfPhwfv7zn/PMM8+k6jJCpI0v7MMRruWdyucp8/0EQIGuHzNKZpKlKWalawP/KXsfR8iFEiVH2Q/m8oFnUWyQKQ+F6E7NITe1oXLmVv6L2kA5AKXGoZxdcjU5mmLcUS8rHOt4vXwezrAblULJOPuhXDrgTIoSxGdjsIlXy/7Lt00/EI1HsWksXFh6NkdlH4ZZ0z1ThAiRLo3BWhbWzmG580ui8QgGlZlJeWdyWNYx2HW746PSV8uL2+awzPEjceLkarO5bOAMRlgGSYOHEGkUiASoD1bwTuXzVPg3A1CkH8BZJT8nT1uMuZ2ONonUB5rY6qvgxa1zqAk0AHCwbQRXDzqP/qbifRwthBBCiP1RH6jmg+rZrHMvI04Mq9rOKUU/Y5BpVEuCxhlyU+Gv4bktb1LmqwZguHkg1wy5gBJdPgZN+pMhQiTiD/tpDFczt/J5ynwbASjQlzKjeCYFun5YtFnprWA7/JFm1ntW8EHVv3FHmlCgZIztKM4ovoJsbceWLki1WDxGpb+a57e8wk/NO57/+xmKuHrQZQwy9Uer2jHFaW2ggbcr5rOobinheASTysCMkikcn3c0BRm6NrvIPCkbxlFQUMCPP/5INBrlo48+YurUqQD4fD5UKlWqLiNE2jRHnfxj8wMtiUeA2mAF86r/wzrPFv666T84Qi4AYsT4tmkls9b9g2p/XbqqLMQBwR1t4vktj7QkHgHKfZv4x+YH8cc8rHSu5+9bXscZdgMQjcf4qnE5j2/4FzX++lbncoZcPLHhWb5qXEo0HgXAFfbwzy2z+cG5qt1pwYXINI3BOuZU/IPvHZ8RjUcA8Eeb+ajmVX5wLMIXbgag2l/HQz8+yw+OtcTZEQMNIQdP/fQS231Vaau/EAJckQb+seXBlsQjQHVgO//c8hCeqLPT56sNNvDYun+2JB4BVrs28MDav1Dlr01FlYUQQgixh4ZgNS9uncWP7u+JEwPAHWnizfJnKfdtatnPEXLx4Nq/tiQeAX5q3sb9a56hKezq8XoL0VGeaBP/3PxgS+IRoDZQzvNbHsEdcaSxZvu2uXktr5X9GXekCYA4Mda4vt1R93BTWurUEGzigbWPtyQeASr81Ty87k/UBne0cdUGGvj75tf5pPYrwjvf9b1RP6+Wvc/C2q/whL1pqbs48KQs+XjVVVdxwQUXcNBBB6FQKDjppJMA+Pbbbxk5cmSqLiNEWgQjQVY6FxOI+dqUHZ49lX9vfzfhcRX+mlaNN0KI1HKHHXxeN7clcbKnYMxPXbCB18vnJTx2m7eC+lDrB936YCPbfOUJ93+97B0cIWeX6yxEb+GPNrOpeXXCsi/q36M5uqMRY6u3krpgY8L9/rP9Xar3SuILIXpGIOpjaeNCQrFAm7JoPMKiuvfwdqIxsi7QwH+2v9fSyWBPjrCbNa6NCY4SQoj2SMc9IfalPlBFQ6g6Ydn8mtdpCFbjCLqYU7GAyM4OsnvyRQN8Xr+UUDTU3VUVotNC0RDLHV8mbE+NEeXTuv+mLYm3L+6wg/er/52wrD5YRV2g5zvixuIxvmpcii/qb1MWjUd5p+IDAtEg3oifFc51Cc/xXtVnuMKe7q6qEEAKk48PPPAAzz//PNdeey1LlixBp9MBoFKpuOuuu1J1GSHSIhT3s9Wb+EPbqLJSH0x+o9zg2dpd1RLigBeM+Vv1nttbKBZuGZGcyEbPtlbfb/VuT7qvM+wiEAt2uo5C9FZ1wYqkZcGYv+UFcW07CYcyX3XLKGEhRM/yR5rZvseMHHsr92/EF23b0JNMNB5jU3NZ0vLVruTXEkIIIcT+2eZbn7SsMVRDNB7BHw3wU/O2pPutc2/GHZGRTKL3CUSb2eZN/jde7ttEINq2I11vEI4FaQoln/mjvZ+ru4RiIda4ErdPA2xo3kwkGqYqkHwWvkAsmDB5KUR3SNmajwDnnXdem21XXHFFKi8hRFpoFHqsanvCsjhRdEotwVjiXmZ5usTHCSG6TqXQYFFn0xRK/GClUarRKNQt00zsbe/4tGuzk15LrdhxLiH6Cos6+d+7AgVaxY6F6PP1ye9jZrURpUKR8roJIfZNo9RhVWclLbeqs1ErNB0+X5w42drknerkmVYI0VGRuAJ3RJ/uagiREbI0ydeN0ykNKFGBUo1da0t6j87RZqHfuc6bEL2JWqnFqkn+DGnVZKPupe0sSoUarVKfcJYRALs2v4drtKNdKleXfL3GbG0WKCBLbUm6jwIFOqWuG2onRFspG/kIsHDhQn77299y9dVXM3PmzFZfQmQyvVrPxNxTEpb96PqKKfkTEpZplRpGWAZ1Z9WEOKDZtXlMyjsjablNY+H4vKMSlulVOgabSlttG2gqRZ/kIey43PHYtNb9r6wQvUyWNhdLksTFcMuh6JQGAI7IPgi1IvH63dMKjsOutXVXFYUQ7TBrbByTd2rS8uPyTidbl9vh8+Vrcji9aHLCMiUKjs87srNVFEIcoD53FvN+02HproYQGWGIeUzSzkJH2U/ErLJSoM9hRvGUpOeYXjQJs9rUXVUUYr8Z1eak7amw43nVruv5JF5HWNQ2JuScnLBMrdAw0NTzy8yplWqmFZ6YtPys4umYNWbsuqyk7+mHZI3AqJIOQqJnpCz5+OCDD3LyySezcOFCGhoacDgcrb6EyHQWTRZnFl+Jcq+wsWhsnFlyAmOsQ1tt1yt1/HbUL7CqJFkhRHcqMgzi2NzWja8KlJxWdCl6pZ7z+k1r0wnAoNJzz6hfYNO2fkHL1mZx96hbMKgMrbYPNw/hvH5noFVKb1LRd9gUOVw56E5Me92nCvX9mVEysyVpYVYbuX3E1WiVrRtFxmaN5qTCiejlxUWItMnW5DGt8Gco9ng+VaBgUt6ZFOpL2zmyLbVazbicQzkmd2zr7QoVNw27HJPKmJI6CyH6voawPBsI0VEGhYkrBt6OZq9OsEPMB3Fs7qkYNGYABpv7cdpenYSUKLhy4NnYpZOs6MUsmizOKLqiTXvqxJxTKDUOSVOt9k2t1HBc3mkMMx/SartWqefng37b7ojO7lSgy2PmoEva/D5PLZzKcMuO32exIZ+7R12Hbefnxy6lhiKuHXwhee3MbiREKini8XhKVgAvKiri8ccf57LLLkvF6Xodt9uNzWbD5XJhtcpN/UDlDDUQjAUo920kHAsz0DQSvdJAti6PGn89rkgzm5vLyNJYGWAqwqK0YNVJ77OeJvF64HEE6wnG/GzzbkClUNHfNBytUke2dscUNjWBBpwhN1u85WRrbPQ3FmHTmjCrzW3OFYvHaAo5qPBX4Qi5GWDsR44uG5tG/pa6g8RreoVCIVyxBuqD1TjCdRTpB2DV2MnVFbbazxVqpjnqZWtzOe6Il+HmgVg0Rgr0yaeJEn2PxGvv1BSsJxwPUub9iShRBhpHoFXp93sqqNpAA96Inw2eLRhVRoaYSzEqDdj1Mso5k0i8inS6aulMAjE1r477G4oksyeI3SRehTfsxhv1UBMowxNxUmoYikltJUdX0Gq/On8j/liA9Z4tqBVqhlsGolfqJJHQgyRe98+u9tQy30aisQgDTCPQKfW9dtTjnprDblzhRqr8WzGpbRQZ+mPVZKNK43SxgWgQV9jN5uZtROIRhpoHYdNYMalbdxas8tVSFaijNtDIAFMxudpsCg3yDi96TsqiJBQKMXHixFSdToheKUu7YxRIgb5fm7JCQx6F5Mk0q0KkQbZux8NToaF/wvJCfS6F+lxGWgfv81xKhZJcXU678+gL0VdotVryKCZPX9zufjatGRtmSgwF7e4nhOh59p33wETPp/ujQL/jeXewuXMjJ4UQQgixf0waKyaNlXx9Sbv75Rt2vKMOMLW/nxC9TXvtqb2dWWPFrLFSYuw97b16lQ69Km+fnYGLjQUUG+UdXqRPyqZdvfrqq3n11VdTdTohhBBCCCGEEEIIIYQQQgghRIbp0sjHW2+9teX/Y7EY//znP/nkk0845JBD0Gharwv05JNPduVSoheIxeKEQhE0GiUqVd+ZOsURcqNVqtsMTd+bK+RGo1Rj3Md+QuyPvhpfe4tEInhjXjRKTcJYCkaDeKNBjCo9epWsryhEVwWiIXzRACaVDp1Kl3S/aCxKOB5Fq1SjVKSsb1raBcNBfNEARpUBnUY+U0RbgWAYlVKBRpO+aZOSCUQDeMNBTBojepVm3wckEYqG8Ef96FR69O18DgghhBC9XTQaJRyOodWqUSoV6a5Oh3W03SkRd9iNSqHCpJYlfUTv0RxuJkYcq8aS7qr0Ce6gj1g8SpZefp+ib+nSW/by5ctbfX/YYYcBsGbNmq6cVvQykWiM2no3Cz5fy6p1lZQW2znrlEMpKrBh0GduQ16Fr55vG3/k28Z1WDUmTi+eQIE+myJD66kWq/01rHCuZI1rLWa1iRPyJ5Ojs5OnkzmyRddFozFq6t188sU6Vqwtp19RFmdNP5ziDI+vRGr8NXznWMY69zpsGisn5E/Grs0mV5dLY9CFM9TMB1XfUOGvZ4i5mGlFR5OlNpGlk4cvITrLE/TRGHGzoPo7NjVXUmzI5fTiCWRpzeTqdq/b5o8EqQk08W7lEir9DRxsG8yUgrEUGOyoMjgJ2eRz0oyHz+u+oCZQQ6mhlOPyjsGisGEztF3rVRx46hrcLF9TzoJFP2LQaznn1MMZ1D+XbFv6O5k5Ai4cES8fVH1Dua+OgaZCpheNw661YNN2/O/XH/bjiDj5pvFbNjVvxq61MyV/MhaNVaYWF0IIkVF8/hDVdS7mfricimonh40pZepxoyjMt6JS9d5n1j3bnSxqI6eXTKBAb6fYsO/7cG2glh/d6/nBsQytUsvkvOMp1BeSL2uuizSqC9RR4a/ki/rFRONRxueMY6h5MAV6mdpzf1T6Gtjuq+HD6m+JxGKcUHA4Y6wDKTHmprtqQqSEIh6Px9NdiUxwIC8ovH5TDb+653UCwXDLNoUCHvjNGRx79FC02t7XU3xfyn113LbibzQEXa22n9vveM7ud1xLArLKX8Vj65/AFW693+lFpzI5fxJ5OrkZ9EaZFK8/ba7lxntewx9oHV/3/fp0jp8wDG0vHImxP8p9FTy2/o80R5pbbT+35Gwm5o5nnbuKh9bOJhaPtZRplGpmHXINh2cP6+nqih6USfGaSVY6N3PXyn8Siu3+bFGi4J4xl3GYbQhZOguhaJglDWt49MdXiLP7cVCv0vLU4Tcy3JJ563EAeENe1jf/xF83/R8x9vhMUaj59fCbGWMbncbaZba+Eq91DW5uue9NyqscrbZPP3EM118xmaw0JiC9kQCrnJu5f82LRPe8JypUPHLIzznUMqTNDDPJbG3exmPr/0ggFmi1/cqBl3Go7RDsOntK6y56l74SryIzXbV0JoGYmv+M+z+Uir7xPtOdJF7bFwpH+OLrjTz01Pvs2YJp0Gv466M/Y/iQ3pn0KPPWcfvKfbc7JVIbqONPPz1NbaC21fYJOeM5p2QG+fr8bqmz2LcDOV7rAnX8e/urrHKtbrW9v7E/Nw79JQXyd9kplb4G/m/jO3zTtK7V9qHmEu4bc4UkIEWfkLLuQTNnzsTj8bTZ7vV6mTlzZqouI3pYk9PLo0/Pa5V4BIjH4ffPfEij05ummu2/pqCbl7fOb/MACDCn4gs8YR8AzpCTt8v/2ybxCPB+9Tz8EV+311X0bQ6nl0f+PK9V4hF2xNesv3xIY1PmxVciDcFGXit7o03iEeC/lXMJRIP8ad2brRKPAOFYhMfXvU6Fr76nqipEn1Dhq+eP615rlXgEiBHnT+vfwBP1A9AU8vCH9a+1SjzCjqlaH1/3Go5Q2+e6TOCOenh+6wutEo8A4XiE57e+SI2/NsmR4kAQiUSZ+9GKNolHgA8/XUtFddvtPakp5Obxda+1SjwChONR/rjuDWrDHatfXaCeF7e93CbxCPDv7a8SiAVTUl8hhBCiuzU2NTPrLx+y99AJfyDM75/5EEcvbJdqCrp5ZfuCpO1O7nDy9iRf2MfC2k/bJB4Bvm78hsZQU0rrKkRHlfsq2iQeAcp8ZXzf9AORSCQNtcpc27zVbRKPAJuaK1lUv1J+n6JPSFny8eWXX8bv97fZ7vf7mT17dqouI3qYy+1nW0VjwrJgKEJlmhto9oc3GuDL+lVJy3eV+aN+ljtXJt2vvTIhOsLlCbC1rCFhWSgcpbyqb7xUhGJBfnS3faACiBPnR/c6DsoamLC8LuigOdL23iKESM4b8VMdSPz54YsGWxpByn11hGOJX2i2eqvbbRTpzVxhN75o4ro3hZrwRntfA5XoOQ6Xjw8+Sb5ExHsLVpHOiWFcIS/uJB3cGkIuPOGO3RMD0QDbfWUJy6LxKOW+8v2uoxBCCNGTyiqbCIWjCcs2b6/H7Wnb0SbdfNEAi+qStxm11ybljrj5qvGbdo5d0qW6CbE/PGEPi+q/TFr+ZcMSGsOJ249FW65gM/Oqv01avqDmO2pCmdfmLsTeujz/hdvtJh6PE4/H8Xg86PX6lrJoNMq8efPIz5dh15kqFmu/8SWc5AGwt9u7N/megjtHisShzaiJPe09okSIzorFkv99AUlfsDJNLB5vM7JqT+FYGI0i+RRye4+IFEK0L7qPxMmuhGM43v5nTKbGXqyP/lwidcKR5H8jwVCEeHzHFOjpEN3H32+0nWfTPbX3DAvyHCuEECJz7KvdKbqP9+r0ULTb7rSv+3A0nnzEUyQeIRaLoVT23rUuRd8Ti8eItPN3GY1H2m33Ea1F47GkHYEBIrFIWjtECpEqXb5TZWVlYbfbUSgUDB8+nOzs7Jav3NxcZs6cyQ033JCKuoo0sFr05OWYE5aplAr698u8tWJ0CjVHtLOG3DF5BwOgVWoYYRmedL/Dsw9Jed3EgcVi1pOfa0lYplQqGFS670XoM4FWqWWgaUDS8tG2UaxwbkxYZtWYsGjSt/aWEJnIojaQpUl879YoVBTqd9y7BxgLUJI4w5Kvy87Y2MvWZiXt0GBSmzCrE/9uxIHBajEwaXzy58DpJx6EUpmmzCOQrbWiV2oTlpnUemwaU4fOY1DpydflJSxToGCQaeD+VlEIITpBGk5F1w3sn5v03lyYb8VqMfRwjfZNo1RzpD15e9KudqdE9Cojh2UdlrR8fM7RkngUPc6mtTHOfnTS8rHZY7GqD6w1MLvCrrdyQsHhScuPyT2YbJW8t4rM1+W71WeffcbChQuJx+O8/fbbfPrppy1fixcvpqysjHvuuafD5/viiy8444wzKC4uRqFQMHfu3JaycDjMnXfeycEHH4zJZKK4uJjLL7+cqqqqds/50ksvoVAo2nwFAr1vaobeJtdu5vbrpyXs/X3VRcdgt3WsAaQ3yTfYuXrI6Qkbdo62jyRPmwVAri6Xi0ovSNiAOTbrcKxqW3dXVfRxeTkW7rhhWsIXqSsvmEB2VmY2/O8tX5/HJf1/hlrRdrD9xJzxmFQmfjZgSsJjrx86gxytxJoQnWHX2bh+2FkJyy4bOA2jascsFdlaM5cOPLnNPkoU3DrifHJ1mRl7eqWBc/udnbDs4tKLsKnkpfhAptOqufTccVgt+jZlB40oYsjAxAm7nmJRGbl68GkJy34xZAbZ6sSdlvZWoC/gsgGXoEjQweCkgqkYlG1/fiGEEKI3smcZufz88W22K5UKbv/lyeTae18DfYE+m6sHn7bPdqdEsrRWzig+FZOqbXvbEPMQSgzFqayqEB020jqcEkNJm+1ZmixOyJ+EMUM7r6bLwbbBDDIVtdlu11o4vWQCZr38PkXmU8RTNIZ3+/btlJaWdrn3zYcffsiSJUsYO3Ys5557Lu+88w5nnXUWAC6Xi/POO49rrrmGQw89FIfDwS233EIkEuH7779Pes6XXnqJm2++mQ0bNrTaXlhY2OF6ud1ubDYbLpcLq/XAarQKBMJsr2zkxde/YsPmWgrzrFx54URGDSvslT3MOqI50kxDoJk3yj9lmWMjFrWRM0uO4Sj7CIoMu0ebeSNemkIOPqj6kPWeDZjVJqYWTGG0dRT5+vQ2TonkMile/YEw5VVNvPj6EtZvqqUgz8oVF0xg9LAibNbMjK9EXCEXzrCL96vmsbF5E1aNhZMKpjLSMpw8fR41/ia2+2p5bfsnVPubGGAq4NKBJ1Ggy6bAkHkjrEXHZVK8ZpJafxN1QSevbP+Ybc01FBrs/Kz/FAYaCyg07r7PucJe1rvLeGXbAuoCToZZ+nHFoGn0M+ZhUOnS+BN0Tb2/gepgNe9Xz6MuUEeRoYgZxWeQo80lT983RpWnQ1+J13g8TnWti7feX8YX3/yEXqfhnFMPZ9L4YeTmdCy5151q/E1U+Op5tewTKn0NlJryuWTAVIp1dgqMHf/7dQadNIUdvFv1Ptu828nWZnFK4TQGmwaSJ8+xfV5fiVeRma5aOpNATM1/xj2Lsp3lFcQOEq/75nL7+fGnal568yvqGjyMHFrAVRcdQ2mxHYO+d/6NNUeaaQg280bZ7nanM4oncnTOyFbtTomEQiEaoo0sqPmYla7V6JQ6JuUdxxHZY6UtKs0O9HitC9TxdeO3LGn4img8yhHZYzkx/wQKDQXprlpGqvI18GndchbUfEckHuXY3IM5o2QipUZZwk70DSlLPgI4nU6WLl1KXV1dm7XMLr/88s5XTqFolXxM5LvvvuPoo49m+/bt9O/fP+E+L730ErfccgtOp7PTddjlQL+5AHh9QfyBEFqNOmOTjntzBj14In6UCgUlxuQPcK6wC1/Eh0qhIl8vN4DeLhPj1ecL4utj8ZWIM+jEHwugUigTxlJNoJFwLIpWqaFAn52GGoqelonxmknqAg6CsTAahZrCdhL57rCPUCyMUaXDqO47I6Lq/Q2E4xG0Sg25knTssr4Wr+FwBJcngFKpINtmRJGuhR6TqPU3EYpH0CnU5HehI44j5CAQDaJWqCTpeADpa/EqMsuV384kGJfkY0dJvHac2+MnFI5g1GsxGjOjo1xH250SaY404wk3o1QoyFHnoFa3nU1I9CyJVwhGgjjCTlDEsaqsMuKxi4LhIPUhN3HiZKvNmHXy+xR9R8ruWu+99x6XXHIJXq8Xi8XS6uVdoVDsV/KxI1wuFwqFgqysrHb3a25uZsCAAUSjUQ477DAefvhhDj88+dzKwWCQYDDY8r3b7U5VlTOWyajDlCEPdx2VpbOQpdt3D3ebxoZNk5nTzx0I+kK8Go26jHl56oosXRZZ7ZQXSnKgz+sL8ZpJ8juYxLf20RfGPENuuquQ0fp6vGo06l45VdsuqRr5n62VzjwHgr4er0L0JRKv+y8TO+p2tN0pEbPaLOuVp5nEa1s6tY5CtYx0TBWdRkc/jXQQFH1TylYo/s1vfsPMmTPxeDw4nU4cDkfLV1NTU6ou00ogEOCuu+7i4osvbre3yciRI3nppZd49913ee2119Dr9RxzzDFs3Lgx6TGzZs3CZrO1fJWWlnbHjyCESAGJVyEyh8SrEJlD4lWIzCHxKnqTXjaQvNeReBUic0i8CiHE/kvZtKsmk4nVq1czePDgVJwOaH/a1XA4zPnnn09ZWRmff/55p4a6x2Ixxo4dy/HHH88zzzyTcJ9EPVtKS0sP6GH1QvRWEq9CZA6JVyEyh8SrEJlD4lX0JrLmY/skXoXIHBKvQgix/1I27eq0adP4/vvvU5p8TCYcDnPBBRewdetWPv30005/2CuVSo466qh2Rz7qdDp0ur4/BaIQfYHEqxCZQ+JViMwh8SpE5pB4Fb1Jarq4910Sr0JkDolXIYTYfylLPp522mncfvvt/Pjjjxx88MFoNK17t5155pkpuc6uxOPGjRv57LPPyMnp/Ppg8XicFStWcPDBB6ekTkIIIYQQQgghhBBCCCGEEEKIFCYfr7nmGgAeeuihNmUKhYJoNNqh8zQ3N7Np06aW77du3cqKFSuw2+0UFxdz3nnnsWzZMt5//32i0Sg1NTUA2O12tFotAJdffjklJSXMmjULgAcffJDx48czbNgw3G43zzzzDCtWrODZZ5/t0s8shBBCCCGEEEIIIXZTKIA4xJEhkEIIIYQQB6qUJR9jsVhKzvP9999zwgkntHx/6623AnDFFVfwwAMP8O677wJw2GGHtTrus88+Y/LkyQCUlZWhVCpbypxOJ9deey01NTXYbDYOP/xwvvjiC44++uiU1FkIIYQQQgghhBBCIClHIYQQQgiRuuRjqkyePJl4OwsEtFe2y+eff97q+6eeeoqnnnqqq1UTQgghhBBCCCGEEO2R7KMQQgghxAFPue9dOm7RokWcccYZDB06lGHDhnHmmWfy5ZdfpvISQgghhBBCCCGEEKKXUijSXQMhhBBCCJFuKUs+vvLKK0ydOhWj0chNN93EjTfeiMFgYMqUKbz66qupuowQQgghhBBCCCGE6KU6MGGVEEIIIYTo41I27eqjjz7K448/zq9//euWbTfffDNPPvkkDz/8MBdffHGqLiWEEEIIIYQQQggherN4HGQUpBBCCCHEASllIx+3bNnCGWec0Wb7mWeeydatW1N1GSGEEEIIIYQQQgjRS8m0q0IIIYQQImXJx9LSUhYuXNhm+8KFCyktLU3VZYQQQgghhBBCCCFELyXTrgohhBBCiJRNu/qb3/yGm266iRUrVjBx4kQUCgWLFy/mpZde4s9//nOqLiNEUlVeJ8FYFJ1KTbHRlu7qCJExan1ufNEwWqWSElN2uqsjhOjFypqbiMbjWLV6cnSmdFdHiD6j2uciEI2gU6opNslzrBBCCJEJdjwbx7Co9eQazOmujhCimzT4m/FEAqgUSvqb7emujhAZI2XJx1/+8pcUFhbypz/9iTfffBOAUaNG8cYbbzBjxoxUXUaINsq9DrY3N/G39YvZ3tzEYEsuvxx5LP1Ndkqk8UaIpKp8bmr9Lv5v3Zesd9VRZLRyzfCJjLQVUGqWJKQQYrdyr4PFNZv5z5YfcIX9TMgbyDXDJ5Kvs2LT69NdPSEyVqXXSYXPyf+t+5ItnkZKzdn8csQxDLbkUmLKSnf1hBBivygUgIx+FH1YebODr+u38crm73AEfRyd159rRxxDvt5Cts6Y7uoJIVLEGfRRG/Dwj/VL+K6hjGydkcuGHMX4/IGUSud9IfZJEY/LhBgd4Xa7sdlsuFwurFZruqsjdmoINPNhxY88vHJ+m7JHxp7OtJKR2LSGNNRMpJPE676Fw2E+r9vMjd+81aZd4PqRx3LhwCMoMsnvTnQ/idfer6zZwUMrPuSL2s2tthtUGl6bfCWjswrTVDPR0yReU8sd8vNx1Qbu/uG9NmW/PeRkzug/hhydjKIQ+0fiVaTTld/OJBhX8++j/oxaJe/j+yLxmlnKmx38YfXHLKja0Gq7TqnmP5Mu5xB7SZpqJnqCxOuBZWVTJZcseplQLNpq+yklo7j9oCnScV+IfUjZmo9CpIM7HOCJNZ8mLPvD6o9pCvp6uEZCZIaKgJuHVn6UsEPyPzYswRsN9nidhBC9U23A3SbxCOCPhnli9UKqfK401EqIzNcY9DFr1ccJy55c+ymuUKCHaySEECmiSHcFhOg+jUFvm8QjQDAW4bFVH1PhdfZ8pYQQKVfhdTJr1YI2iUeAjyrX0RSSNmch9qXL064OHjy4Q/tt2bKlq5cSoo3GgBd/NJywzBMO0hT0MciS08O1EqL384QD1Po9Ccui8ThbPA0Mteb1cK2EEL3RJ1U/JS1bUreFQJL7sBCifY6QD3c4cYIxEI1QH2hmsCW3h2slhBBdJ7lH0Zctqt2UtOz7xnJ5NhaijwhEwyxrrEha/kXNRg6Vkc5CtKvLycdt27YxYMAALr74YvLz81NRJyE6TKVsf/Cueh/lQhyoVIr2Y0OrTNmSwEKIDKdTqpKWqRVKlNLEKMR+Ue/jXryvciGE6K12Le4Tl4UfRR+ka+ddWYlCno2F6COUih3xHEtyL9MpNT1cIyEyT5dbl19//XVefPFFnnzySaZPn87MmTM59dRTUUrSR/SAbK2RbK0BR8jfpixfb8am0aehVkL0fhaNjiGWXDZ7GtqU6VVq+su89UKInU4qGcnfNyxJWDatZBRmta6HayRE32DVGCjQW6gNtJ2JIEtrwK4zpaFWQgiROpJ8FH3RpMKhPLn2s4RlJxQNw6jW9nCNhBDdwaTSMqlwKJ/VbExYfnzh0B6ukRCZp8sZwgsuuIAPP/yQTZs2ccQRR/DrX/+afv36cdddd7FxY+LgFCJV8gwmHjvyzDY9wzUKJbOOPJMSvSz+LEQi/c12Hj3idAyq1j21FMDDY0/DKol7IcROWRoDVw0d12Z7gcHCjaOPJ9dgTkOthMh8JXoLfzjyTDR7jS5WKRTMOuIM7BpJPgohMpNCBn6JPsyi1vPLkce22Z6rM/Gbg06k0CjtUEL0BQVGK7cfPIWcBB0Cbxh5LBaNdDQQYl8U8Xg85V3RFi1axAMPPMAXX3xBQ0MD2dmZP4LG7XZjs9lwuVxYrfIg0Zs0BDw0Bn28uXU5mz0NDLfmc97Aw8jRmsgxSKPNgUjitWNcgQANoWbmlq1itaOKfsYsLhp8BDk6E0XywiR6iMRrZij3OqnyOXltyzJcIT+TC4cyqXAoA2Vd5QOKxGvqOfzN1Id8zNm+gg2uOgabc7hg0FhytCbyjJLYF/tP4lWk05VLZxKMqXn5qKfQquSdfF8kXjNPuddBjd/D65t/oCnk45j8wUwpHs4geTbu8yReDzzbPI18UvUTS+q2YNcauWjIERQaLJSaMj/fIUR3S+miXoFAgLfffpsXXniBb7/9lvPPPx+j0ZjKSwjRRq7eQq7ewu0HT8ETDmLR6NCrZN5tIfbFptdj0+v51ahJuMJ+jCoNJo1MnyiEaKvUlEWpKYvRtkKCsTC5eku6qyREn5BtMJNtMPPrMSfgCQexanTo5DlWCCGE6NVKTdmUmrIZZc0nIM/GQvRpAy05XDnkKM4acBB6pQazVmYKE6KjUpJ8/Pbbb/nXv/7FG2+8wZAhQ5g5cyZz5szpEyMeRebQqzSSdBRiP2hVKvJUMrpCCLFvFq0eC/KyJUSqyXOsEKIvkVlXxYHCrNVjlmdjIfo8tVpNrlo6GQjRWV1OPo4ZM4a6ujouvvhivvzySw455JBU1EsIIYQQQgghhBBCZKg4sXRXQQghhBBCpImyqydYt24dgUCA2bNnM3nyZOx2e8Kvjvriiy8444wzKC4uRqFQMHfu3Fbl8XicBx54gOLiYgwGA5MnT2bt2rX7PO+cOXMYPXo0Op2O0aNH884773T2RxVCCCGEEEIIIYQQQgghhBBCtKPLIx9ffPHFVNSjhdfr5dBDD+Wqq67i3HPPbVP++OOP8+STT/LSSy8xfPhwHnnkEU466SQ2bNiAxZJ4+PPXX3/NhRdeyMMPP8zZZ5/NO++8wwUXXMDixYsZN25cSusvhBBCCCGEEEIIIYQQQgghxIGqy8nHK664olP7v/baa5x55pmYTKaE5dOnT2f69OkJy+LxOE8//TT33HMP55xzDgAvv/wyBQUFvPrqq1x33XUJj3v66ac56aSTuPvuuwG4++67WbRoEU8//TSvvfZap+ovhBBCCCGEEEIIIdoXj6e7BkIIIYQQIl26PO1qZ1133XXU1tbu17Fbt26lpqaGk08+uWWbTqdj0qRJfPXVV0mP+/rrr1sdAzBt2rR2jwkGg7jd7lZfQojeSeJViMwh8SpE5pB4FSJzSLyK3kSSju2TeBUic0i8CiHE/uvx5GO8C0+hNTU1ABQUFLTaXlBQ0FKW7LjOHjNr1ixsNlvLV2lp6X7XWwjRvSRehcgcEq9CZA6JVyEyh8SrEJlD4lWIzCHxKoQQ+6/Hk4+poFAoWn0fj8fbbOvqMXfffTcul6vlq7y8fP8rLIToVhKvQmQOiVchMofEqxCZQ+JV9Ca7m1pkCGQiEq9CZA6JVyGE2H9dXvOxJxUWFgI7RjIWFRW1bK+rq2szsnHv4/Ye5bivY3Q6HTqdros1FkL0BIlXITKHxKsQmUPiVYjMIfEqehNJObZP4lWIzCHxKoQQ+y+jRj4OGjSIwsJCPv7445ZtoVCIRYsWMXHixKTHTZgwodUxAAsWLGj3GCGEEEIIIYQQQgghhBBCCCFE5/S6kY/Nzc1s2rSp5futW7eyYsUK7HY7/fv355ZbbuH3v/89w4YNY9iwYfz+97/HaDRy8cUXtxxz+eWXU1JSwqxZswC4+eabOf744/nDH/7AjBkz+N///scnn3zC4sWLe/znE0IIIYQQQgghhOirds26GpcxkEIIIYQQB6weTz4OGDAAjUaTtPz777/nhBNOaPn+1ltvBeCKK67gpZde4o477sDv93P99dfjcDgYN24cCxYswGKxtBxTVlaGUrl7UOfEiRN5/fXXuffee/nd737HkCFDeOONNxg3blw3/IRCCCGEEEIIIYQQB6a45ByFEEIIIQ54ing8dY+FTqeTt99+m82bN3P77bdjt9tZtmwZBQUFlJSUpOoyaeF2u7HZbLhcLqxWa7qrI4Roh8SrEJlD4lWIzCHxKkTmkHgV6XTltzMJxtW8cOQfMaht6a5OryfxKkTmkHgVQoiOS9nIx1WrVjF16lRsNhvbtm3jmmuuwW63884777B9+3Zmz56dqkuJPqjC4yQQjaBUKLBqdOQazemukhC9VpPfhzPkJxqPo1Oq6W/NSneVhBAZIhiJUOVzE4nFUCuVlBqtqNW9bhZ+ITJelceNPxYGwKTWUGiSxikhxIFDoQDiMu2q6H0cfh+OXe/SKhX9LdnprpIQoo+o83rwRELEAb1KTT9zxzrfeEMhnP4A8Xgcq16HVa/v3ooK0YNS1tp06623cuWVV/L444+3mgJ1+vTprdZjFGJPDb5myrxOfr/sU36or0SjVHJK/xH8+pDjGWS1p7t6QvQ62z0O/r72a+ZuXUsgGmGMvYC7Dz+RgeZsSizSq1gIkVy5x8mHZet5bt1SGgJeCgxmfnnQBE4sHkqpJSvd1ROiT/CHw2zzNDFr+Wcsrt6KQqHghOIh3H7YZAaZbGi12nRXUQghup2kHEVvtN3j4P/WfMX/tv1IMBrhIHshvx17AoNMORTu0Y4phBCdtcnVwBPLF/FJ5Uai8TjjC/rz27FT6G/KwtZOMnF7k5MnP1/MgvWbiMbjTBhYym9PmsyQnGzUKlUP/gRCdA/lvnfpmO+++47rrruuzfaSkhJqampSdRnRx9T4m7no4//wQ30lAOFYjPe2reOyha+z1d2U5toJ0bts9zj45aL/8vqmlQSiEQDWNtVy2cLXKPM60lw7IURvVuN18/y6pcxa/hkNAS8Atf5mHvjuY17ftIIGX3OaayhE31Dpc3HBx6/wZfVW4kAsHmdh5SYu+vg/VPg96a6eEEL0jPiu/8TSWw8hdtrmbuLaz9/mzc2rCO58l17TVMOlC19nu0/epYUQ+2+ru4mfffwq8yt+Irpzdbtvasu4YMG/qQ0kf/6vdLn52ew3+HDdxpbjvt5Wzvkvvka5090jdReiu6Us+ajX63G72wbGhg0byMvLS9VlRB9S7XHz1KovCMfavpBUel18V1eehloJ0XttcTWyzlnXZnscmLXsM8o8zh6vkxAiMzSHQ/xn47KEZc+vW4orHOjhGgnR9zgDfmZv+IHmcKhtWcjPO1vX4A+1LRNCiL5GoUh3DYRobaOrgZ9cDW22x+JxHlv+GeXyLi2E2A+RSIT55RtaOvjuKRCN8I+139Dgb1sWj8f5ZMNmGry+tsdFIjz/zXcEwpFuqbMQPSllyccZM2bw0EMPEQ7vWNtEoVBQVlbGXXfdxbnnnpuqy4g+JBCLsLSdBONnlZsJReSDVohdFtdsS1q2uqmGcCzac5URQmSU+oC3pTfl3kKxKE1Bfw/XSIi+xxny83Xt9qTli6u30Rho28AghBB9TZJHDiHS5svqrUnLVjRUybu0EGK/NIX87X6+fFtXhjtBR19/OMKnGzcnPW7JljLcAekgLDJfypKPTzzxBPX19eTn5+P3+5k0aRJDhw7FYrHw6KOPpuoyoi9RgE1rSFqcqzeiVadsWVIhMl6O3pi0zKTWpu4DXQjR5xhUmnbL9Sq53wrRVRqliqx2nm2zdAZ0EmtCiAPBzpGPkoQUvUV779IWjQ6FDNcVQuwHvUrT7vO/TWtApWjbWqdWKrEb2znOoJc1H0WfkLK2aqvVyuLFi5kzZw6PPfYYN954I/PmzWPRokWYTKZUXUb0IaVGK5cOH5u0/Lwhh/RgbYTo/ab2G0ayV6LzBh9Cti75C5UQ4sBm0+kpMVkTlg215WDV6nu4RkL0PSVmG1eOODJp+RUjjiDPZO7BGgkhRHrsfmeR7KPoHU4pHZH0XfqCIYeQp5N2SyFE51l1+nbbtq8YcQQDLNlttmvVKi476vCkx10z/sh2k5NCZIqUD5Q58cQTue2227jjjjuYOnVqqk8v+hC1Ws2p/UdybOHANmV3HDaZHEmkCNGKRaXl8QmnodyrV+bB9kJmjjqKLL08mAghEhtktfPscWe3STLadQaePubMhC9EQojOOySnkLMGjmmz/dJhhzPYmpOGGgkhRM+TEY+itzGrtPx+3PQ2CchDc4q4fMQRmHW6tNRLCJH5+plsXDN6XJvt00qHM75wQNLjBudkc8OxbY87bdRwxg8sTWkdhUgXRTyemsfCm266iaFDh3LTTTe12v7Xv/6VTZs28fTTT6fiMmnjdrux2Wy4XC6s1sQjB8T+2e5xUOvz8FnlZswaLVP6DcOi1lJiyUp31USG6svxWu1x0RwN81nlZhqDXo4rGkSpKYsBVkkciMzUl+O1twmHw5T73CxvqGSDs57R9kIOzSlkkCRERAdJvHZMmduBI+Tn44qNqBQKpvYbjk2ro78k+UUPkngV6XTltzMJxtU8d8TvMWty012dXk/itWdUNbvxRoJ8WrmZpqCP44sG089kk3dp0SkSryKRsmYnnlCAT8o3EopFmdJvGLkGE/3NWe0e5w4EqPN4+WzjFoLRKCcMG0SRxYLdJANyRN+QskVH5syZw7vvvttm+8SJE3nssccyPvkous8ASzYDLNkcXdA/3VURotcrstgAGJYlL/FCiM7RaDQMtuUw2CbJRiG6U39rNv3J5tDc4nRXRQgh0kKhQGZcFb1OsXlHomhYVl6aayKE6Gt2JRnH2As7dZxVr8eq1zM0T97RRd+UsmlXGxsbsdlsbbZbrVYaGhpSdRkhhBBCCCGEEEKIfVq8agvBcCTd1TjgSN5RCCGEEEKkLPk4dOhQPvroozbbP/zwQwYPHpyqywghhBBCCCGEEEK0q6bJwy3PzOXvc79Kd1UOWCla5UcIIYQQQmSglE27euutt3LjjTdSX1/PiSeeCMDChQv505/+JFOu9gHVdS6Wry5jxZoKBvbP4fjxw8jPsdDQ7MXtCzLvu/U4mn0cO3oQo0rz6Z8vc+YL0VE1dS6Wryln+epyBpTamTRhOPk5FrRaNfWOZlz+AAuW/0RVo5sjhpYwdmg/BkiMCSHaEQ6HqWzy8PX67azdXsvAwmymHDIUu9mIzWxId/WESLuGpma2lTewcPEGTAYtJ08eTWGeFaulc/FR3uCkztHMvO/XE4vHOeWIEZTkWOmXm9U9FRdCdFggFAbA4fGluSYHHkW6KyAymqc5QE29mwWLfsTTHODEY0YweEAeuXZzm32rGt14/AHmfb+eRrePY0YPZMyAAvrnyfuyEKL3c7n9VNe5mP/5WkKhCDdceRwNzUHWltWy5Mdt5FiNnHrkSKxGPUV2WWNUZJ6UJR9nzpxJMBjk0Ucf5eGHHwZg4MCB/O1vf+Pyyy9P1WVEGmwta+BX97yOy+Nv2fbcf77klb//nC/WbOUPcz5v2f7e0nX0z8vir784SxKQQnTA9vJGbrznNZzuPeNrMY/few6Dh+SxYlsVd700j2hsR6/h979bR67VxD9uPIchRbLuoxAisY3VTVz31zl4/MGWbf/88FueuW4GYwbkYzFIAlIcuOobPfzuD/9j7U/VLdveePd7LjtvHBfNOKrDCciKBid/eXcxC5ZvbNn2ztdrOG7MIO48b7IkIIVIs/jO52eFQlJhPU0GPIr95fb4eev9H3jpja9btn3wyWpGDSvk0bvOIi/H0rK9utHNl2u3MuutT1u2vf/dOkpzbfz1l2dLh10hRK/mdPl4/tXF/G/+SgDe/Nul1DcHueFv71DR4GrZ7+WFP/DbC07kuIMGUZQtCUiRWVI27SrAL3/5SyoqKqitrcXtdrNlyxZJPGY4p9vHI3+e1yrxCHD9hf3xhSKtEo+7lNU7+ef8b2nyeHuolkJkJpfbx6PPzGuVeASIRmPc+4f/4fGFuPffH7UkHndpcHuZ9eZnVDW5EEKIvZXXO/jdv+e3SjwChCJR7nxxHk17feYIcSCJRmPM/3xtq8TjLv9++1uqazt+b11fUd8q8bjLl2u3smJLVZfqKYTouujODJhKKcnHdInL6o+ik2rq3a0Sj7us21jDvIVriEZjLdu8wRCPvf1pm33LG1z8fd7XNLilTUoI0XttK29sSTwCqPVm/jbv61aJx11mvfUpvkC4J6snREqkNPm4S15eHmZz2+kQROZxuf38tLm2zfazzjqLL9ZsSXrcgmU/4faFurNqQmQ8lyfAuo01Ccve+dc1bKpuIBiOJiz/flOFPHgIIRLy+ENsrmlMWObyBaiXhhhxAHO4fPx33vKk5e8uWJm0bE91Tg9vLV6VtPzNL1dR3ejudP2EECkkw+/SRgabiv31wSerk5b9d95yHK7d0ygvWbctaZh/vGIjzXt1xBNCiN4iFI7w9gc/tNrWHArzyYq2HRthxyPNknXbeqBmQqRWl6ZdHTt2LAsXLiQ7O5vDDz+83elMli1b1pVLiTSJRBInPhQKBR5f8ge5UCRKTF72hGhXsvgCUKvVbUYt7S0cTX68EOLAta/PBn8o0kM1EaL3icXj+PzJO8i5mwPEYnGU+xgpFY7G8AaSn8cbDBGJxZKWCyFEX7arKUBaBERnuT3JZ+jw+UPE9pgVqL335Ug01mYGISGE6C2i0RjN3tbvErFYnEg0+ftDe+3wQvRWXUo+zpgxA51O1/L/spZC32Mx68myGXHu0bsMwOv1cszogby08PuExx00oBCdWtUTVRQiY5lNeuxZJpqcbUchffPNN4wZMirpsUXZFow6bXdWTwiRoWxGPRaDLmGDjEqpoF+OrBMhDlwWk45xYwfz6eL1CctPOn70PhOPALlmE8ePGcSa7YlnMDhu9CByLPou1VUIIYQ40Ew5bhSffJn4Hj1+7CDMJl3L9xNGDuD5+UsT7ju6tACdpktNnkII0W0Mei1TjhvJD6u2t2zTqpWMKs1nXXldwmMmjOzfU9UTImW6NO3q/fffj9FoBOCBBx7g/vvvT/qVKgMHDkShULT5uuGGGxLu//nnnyfcf/36xA8zorWcbDM3/fyENttPv+KfFGZbGDukpE2ZSqng1rOOoyTX1hNVFCJj5doTxxfA9+uCmHU6Thk7ImH5rWcfz4D87O6snhAiQ+VZDNxw2sSEZRcdfxhGrXRcEAcug17LzIsmotdp2pQN6Gdn1LDCDp1Hp1Mz7YgR5FlNbcqyzQbOmjAGo16Sj0KklXSOThv51Yv9NWJIAYMH5LbZrtOq+fnFx2A07H6Ozc8yc+Swfm32VSoU3Hr2cfSTNikhRC929GEDKcrf/TmVbzVy69nHo0xwEz1yWD/ysyw9WT0hUiJlaz5eddVVLFy4kHg3T7X53XffUV1d3fL18ccfA3D++ee3e9yGDRtaHTds2LBurWdfoVIpmXDEYJ568HyGD85HpVRQVGDjrhunYdZoePiyaVx7yjjsFiMqpYKjhpfy4i0XUpInD3lC7ItSqWDc2EE89eAFDB9SgFKpoCjfxh03TGPmRcdQkmfjV2cew2/OPp7CbAsqpYKDBhTyjxvPYUz/gnRXXwjRS5mMBo4bM4gnrz6D4SW5KBUKSnNt3P+zqVw86TAK7PLSIg5sJUXZPPfEZUwaPwy1WonZpONnZx/Fkw+cT15Ox+NjQH42z910HjPGj0avVaPTqDjtqJG8cPMFDCywd+NPIIToDFkNpOfJ71zsr7wcC3/83blccu44zCYdarWS48YN5bknLqNfUevOt6W5WTx4ycn8Yvp4cna2SR05tB8v/voCBuRKR10hRO9WkGflmUcu5NzTxmLQazj10mcptdt48dcXcOTQfqiUCnIsRn4xfTwPXnKydKgQGUkRT1G28Mwzz2TBggXk5ORw0UUXcdlll3HYYYel4tTtuuWWW3j//ffZuHFjwmlfP//8c0444QQcDgdZWVn7fR23243NZsPlcmG1HpjTlTldPkLhCCqVkpxsc8t2fyhE3c5pIzUqFcUynZtIs0yM12TxBRCJRKhs8gCgViplVLHoUzIxXjNJeb2DWHzHCIT+edIII7qmr8Wrzxek2RdCoYAsmxHNfi4Z4PD4cO+c5tis15FjNaaymkLsl74Wr/tjU2UDF90/mxnHHsTvrjw53dU5oFz57UyCcTV/H/swNq10mtwXide2IpEoDpePeBxMRi0moy7pvq3bpJQU58j7sug+Eq8i1ULhCC6XnzhxrGYDer2GqkYX4Z3rP+ZnmTDI7EUiQ6VsAvR3330Xp9PJm2++yauvvsrTTz/NiBEjuPTSS7n44osZOHBgqi7VIhQK8corr3Drrbfuc73Jww8/nEAgwOjRo7n33ns54YTEUx3uEgwGCQZ3r5XkdrtTUudMlmVL3JBi0GoZkC8fgiJ9+kK8JosvALVaLVOsij6jL8RrJimVhKPogr4er0ajDmM7jZkdlW0xkm2RhKNIr74er10RR4bh9TSFAojT7TNjZSqJ131Tq1Udno1A2qREd5J4Fd1Nq1GTl9v68046UYi+ImXTrgJkZWVx7bXX8vnnn7N9+3auuuoq/v3vfzN06NBUXqbF3LlzcTqdXHnllUn3KSoq4p///Cdz5szhv//9LyNGjGDKlCl88cUX7Z571qxZ2Gy2lq/S0tIU114IkSoSr0JkDolXITKHxKsQmUPita1d3ZMl/9Xz5HfePolXITKHxKsQQuy/lE27uqdwOMwHH3zAK6+8wgcffIDdbqeysjLVl2HatGlotVree++9Th13xhlnoFAoePfdd5Puk6hnS2lp6QE7rN7h8uJ2B2j2BTEYNJiNevJzZc0o0Ttkery63D6cbj/N3p3xZdCRn9f76y3E/sj0eE0nt8eP0+3HZtXjdAVo9gbQ6TSYjVoK86VnpEi9vhyvwWCEugY3Hm8QtVqJyaijpDAr3dUSYr/15XjdX5srG7jw/tmcccwY7r9qWrqrc0DZNe3q3w5/iCxdYbqr0+tIvLavospBsy9IPB7HbNJTWiwzeYj0kXgV3a2i2oHXFyQWi2M26SjMs6DRaNJdLSFSImXTrgJ89tlnvPrqq8yZM4doNMo555zDe++9x4knnpjKywCwfft2PvnkE/773/92+tjx48fzyiuvtLuPTqdDp+v6NEx9QVWtk7ff+4H/zV9JKBxFoYBjjhrCjVedSElRVrqrJ0RGx2t1rYu3P1jG3I9WEApFUChgwpGD+dXME+lXJC9Zou/J5HhNp8oaJ7Oemcfdv5rO+x+v5t9vf4PXFwLgkNEl3HH9NAb0y0lzLUVf01fjtabWxar1lfz1hc9wuHwADBmQx12/OoUBJTkYDPKyLzJPX43XVNjHCi2iG7RMu5ruivRSEq+JOZ0+tlY08Piz86modgJQkGflN9dNZejgAvLs5vRWUByQJF5Fd3G7vWyvdPLYXz+irLIJgLwcM7++dirDB+dTkCcdjEXmS9m0q/369ePUU0+lvr6ef/zjH9TW1vLiiy8ydepUlMqUzu4KwIsvvkh+fj6nnXZap49dvnw5RUVFKa9TX+RweXn7vR946/1lhMJRYMcUKouXbuaRpz+gqtaZ3goKkcGcbh9z5i3jzXe/JxSKADvi66vvtvDwkx9QVeNMbwWFEL1CXaOHW+57gyfuO4fvV27n77O/aEk8Aqz6sZLbHnqbimpHGmspROaoqHHy8FMftCQeATZvr+eW+96gvknW8RFCiK7aPb+WpB9FxzW5fdz24NstiUeA2no3d//+HZoczemrmBBCdIMml59f3/9mS+IRoL6xmXsem0tDkzeNNRMidVKWFbzvvvuorKxk7ty5nH/++ej1+lSduo1YLMaLL77IFVdcgVrdevDm3XffzeWXX97y/dNPP83cuXPZuHEja9eu5e6772bOnDnceOON3Va/vsTtCfC/BasSlq3ZUIXb7e/hGgnRd7jcfuZ+uCJh2Y8bq3FKfAkhgG1lDdTUualr9PHyW18n3Kemzs228sYerpkQmae6zskLry1JWOb1hVi8dHMP10gI0V12pb0UyNBHIXq7Zn+Q/320oqXT+56isTj/+e9SGiUBKYToIwKhEPM+XUtw50CEPcXj8PJbX1Pf6ElDzYRIrZQkHyORCNdffz1VVVWpON0+ffLJJ5SVlTFz5sw2ZdXV1ZSVlbV8HwqFuO222zjkkEM47rjjWLx4MR988AHnnHNOj9Q103l9oZYRWYlUysgsIfabzx9K+KCxi4xiEkIAbNhUC0AkEqW+MXmjy/pN1T1VJSEyViQcY9O2uqTlazdUtfvsK4QQYt92T3UrIx9FxzR7Avy0uTZp+aatda1m/hBCiEzW7A2xYVNN0vLN2+rxB8I9WCMhukdK1nxUq9UMGDCAaLRtD6XucPLJJxOPJ36Ifemll1p9f8cdd3DHHXf0QK36JoNeg1KpIBZL/PvOzZE594XYX3q9BpVSQTRJfOVJfAkhgH7FO9Z/VamVmE06mr3BhPuVFtl7slpCZCSFUkFhvo2tZQ0Jy/sVZaHVpuQVSQiRbknaDET3k1+96CyDXkthvpU1GxIPaijIs6LXyZrMQoi+waDXUFRgg9WJywvyrGg1qp6tlBDdIGXTrt57773cfffdNDU17XtnkTFMJh3HHDU0YVlRgY2cLEmOCLG/LEYdx40blrCsMN9Krt3SwzUSQvRGo4YVYjRoybIamDHt0IT7GA1aRg2X9ayF2Jd+RdlcfPZRCctUSgUnTxrTwzUSQgghhM1q4LzTj0hafvHZR5OfK+/HQoi+wWTQcdYph+0xU0Brl5xzNIX5tp6tlBDdIGXJx2eeeYYvv/yS4uJiRowYwdixY1t9icyUn2PhhqsmcfCoklbbiwpszPrt2S2jMYQQnZebY+EXV0zi0NH9Wm0vyrfx2G/PplTiSwgB5OVYePqhC3j6yRc5c9qhTJowvFV5ls3IE/edS7bdkKYaCpFZDhndjwvOOAKlcvfbvkGv4aE7ziTLJnEkRF8ho+/SZ1djakymXRWdkJtt4vbrT241A4FareQXlx9PvyJ5NxZC9C3ZNhO/velUdHt85qlUSmZeNJFB/fPSWDMhUidlcwqdddZZqTqV6GVKCrO59+ZT8TQHqKxxkms3Y88ySeJRiBQoKczinptPxe3xt8RXdpZJEo9CiBYqlZIRQwr55Q2XUdvg4YYrJ3HlhRMor3Rgs+jJy7WQk2XBaJCpqIToiOKCLC6YcSRnnHwI28ub0O+c9shq1ZNlMaa7ekKIFJG0V/pI4lfsj4J8GxOPGsyho/tRWe0kGovRv8SOQa8hP9ea7uoJIURKFeRZOOrwgbzw1BVUVjsIR6IM6JeDQa+Vkd6iz0hZ8vH+++9P1alEL1RcmAXAiKGF6a2IEH1QUYGNogKbxJcQIimlUkF+rrVVw8vQgflprJEQma1gZywNLM1Nc02EEN0lLhkwITJObraF3GwY0C8n3VURQohul5NlIifLRP8Se7qrIkS3SNm0qwBOp5Pnn3++1dqPy5Yto7KyMpWXEUIIIYQQQgghhBC90O41rCQBLIQQQghxoErZyMdVq1YxdepUbDYb27Zt45prrsFut/POO++wfft2Zs+enapLiRRzu7w0O3zojDpy8q1U1TtRKBQU5crCtqJvi0aieF0+NDo1BnPbNZ6cDR68ngAmi56sLk55EAxGaHB7UauUFNhl+gQh0snV1IzX7Udv1mNPw3QmoUCYgC+IzqBFZ9Duc39/MESjy4dGpaQgR6acEpkhHArj9wR2/J0bdfvcv67KQTQcIafIhla777joLv7QznhTKynIlngTIpNJ2it9dg86lX+F3sjrCeBqcKM1aMndOctVOjW5mvEFw1j0WmxWU7qrI4QQaReJRmkOhtCqVBh1yd+NqhvdxGIxCrLNqNX7n+bZV/toMr497ic5veB+InqflCUfb731Vq688koef/xxLJbdDXnTp0/n4osvTtVlRAo5Gjy46t3875+f4qx3c/msC5i/4Afmf7cBtUrJmceM4YgRpfTLz0p3VYVIqXg8Ts3WOua/+BlLP1yOLdfC+bedyZBDB2LLs1JT0YS73s1//+9jyn+qpnR4EefccBK2PAsFJZ2f/qWs1sGC7zbwxYrN6LUazp10CGMGF9IvLyv1P5wQIqnGWieueg9z/7GQLavLKRiQyzk3nERuYTYF/bt/aqegP0T1tnrmPLuArWsqKB1RxHk3TqN4cB4Gkz7hMWU1Tcz7Zh1LVm/DZNBy/uRDGTkgnxL5/BC9VDgUpmZLHe/8ZR7rvtlI0eB8Lrh9Bv1GlGC2tV1PsXpbPT8t38YHL3yO3xtk3CmHMvnco+k3pKDH615W62De1+tYsnprS7yNGJAv92shMtXODNjuUXhCHNj8fj8NFS4+fPkLVi3egC3XwozrplA6vJCiAXk9Xp+aeid1Lh+vfPwDlfUuhvXL5eKTxmI3GciVDrtCiANQLBan0unmv8vXsGjjNrJNeq6eeBQji3LJNu5+l6qoc7JsYwX/+3INkWiMk44czqTDh1LayTb8WCxG7bZ6PnrxU5bOW05WnpXzb9/ZPtrOWrs+n4/GShcfvbKYlYvWY80xM+O6KfQfXkTRwJ6/n4jeK2XJx++++45//OMfbbaXlJRQU1OTqsuIFKr4qZrfnvsU4WCEZ5c/ym3/eJ/tNY6W8pWbqjh4cBEPXz1dEpCiTynfUMXNE++h2elt2fb9gpWc9avpXPbQ+Wz4bjOPXf1cyzoxm1eX88U733H3v67FbDFgsrZtPE1me62D6594i1pHc8u2ZT9VcMzBg7j94hOkQVOIHrTtx0ruu/AvRCNRADatKmPJe8v41Z8uZdz0Q7u153csFmPVkg3cf9FfiMXiLdf//O2l/PaFa5lw6uGoNarW9a1u4to/vkmT29ey7fv15Uw9chg3nnMs/fKzu62+QuyvDd9t5o4pDxIORQDYtHwrX875lpv/di0nXX48OsPuUZBV2+r45z1v8c2HK1q2bVyxnXkvLeIP/7uN0mE9txbytuomrvvjmzQmjLfj5FlYiAwmSz/2PIUCiMvvvrep2lTP7ac/gc/jb9n2w6drmXHtiZz1y6k9moBsaPLwzbpyHpn9ccu2DWV1fPjtep68cYYkH4UQB6StjU1c9PwbeALBlm1LNpVxxYSxXD9pHDaDnvI6Jw++OJ8VG3cvc7d2aw3//WIVf775bEo70U5QsaGKmybeg9e1xzvQgpWcc/NpXHrfeViyzQmPq9nayO2n/RGve/f9ZNlnP3LazEmc/6tpFKahQ4vonVK25qNer8ftdrfZvmHDBvLy5A+ut6naWsdffvMK4WCE035+Ap+v3tIq8bjL6i3VrN5SnYYaCtE9vG4fz93x71aJx13m/uVD3PU+/vKbV1oSj7vEYnGeufUVHHWeDl/L5fHz6sc/tEo87rJk9VbK65ydrr8QYv9UbqnlzzfPbkk87ukf97yB3xPo1us3Vjt54voXWxKPu8TjcZ66aTZNtc7W+zua+df737RKPO7yyfcbqU/wGSZEujVVO3jiqmdbEo97+r+bX8BR42q1rXZ7Y6vEY8t5alz899kFOBravlt0h0a3l3998E2rxOMun3y/kTpn2/u4EKL3k8RX+sjvvvepLW/kn/e+1SrxuMv//vkpPnf3PgvvrTkU5o+vf9ZmezQa4/ezP6astqlH6yOEEOnmCQT5w0dftEo87vLy18uo9+xoA1i3vbZV4nGXslonH3y1Dn8o1KHreV1e/v6b2a0Sj7v8988f0FiV+HO4rryR5+97u1XicZcPXlhEs6vtdnHgSlnyccaMGTz00EOEw2EAFAoFZWVl3HXXXZx77rmpuoxIEZ8nQNmGHUnFcWcfwUffrk+673tL1tLg6HjCRYjerLmpmW8/WJa03NXoodnZ9sYL4HF4cTd1vAHS5Qvwyfc/JS2f9/WPRKNtEyFCiNRrdvmpq0j88BwKhKnd3tCt13c1NuNqSHwv9Xn8OGpbJ1m8oTALf9iY9HwLlm5Iaf2ESAV3UzOVmxLPeBIORSjf0Pol+dM3v0l6ri/mfo83yf041bz+EJ/+sClp+fylyZ+ThRC9n0y7KgQEfCFWfpn8fvb9p2t6sDZQ0+gmmKCzEkCtoxmPr2ON50II0Ve4/AG+3LwtafmXG7fh8Ph4f8napPvMX7qe+gQDIBLxNHn5fv6KpOXffZS4LOAPsfzzdUmPW7pgVYeuLw4MKUs+PvHEE9TX15Ofn4/f72fSpEkMHToUi8XCo48+mqrLiO6wj7exeDwuy8SLPqOrf8t7j4hsf9/2Lyg9goXoQfsIuM7Edk9dv70jYnJnFhmo0/dQei5j0G7dJNyEyEjyFps+u5sY5N+g99jHv0Wst/1b9bb6CCFE92vvlaQjbQCd/eRs7x0o3s59od3jpLFT7CFlyUer1crixYuZM2cOjz32GDfeeCPz5s1j0aJFmEymVF1GpIjBrKffznV0fnh3GScdNSLpvqdPHE1etsy3L/oGS7aZI6cdlrTclmPGZDUkLDNnGbHldjwWbGYdU44YnrT81AmjUKlUScuFEKljthnJK7EnLNPo1BR286LotlwLtpzE6yUYLXrsBbbW27RqThw7NOn5prVz3xYiXSx2M0WDCxKWqTVqSkeWtNp2wnnjkp7r2DPHYrJ1fI3lrjDrNZx4RPJ4O/loiTchMpG0faXPrt+9JIB7D71RxyHHJH83PXLqQT1YGyi0W9Bp1AnL8rPNWIz6Hq2PEEKkm1WvZ+KQ/knLjxs6kGyLkdMmjE66z8lHDScvyTqNezNnmzjipEOTlh91yuEJtxuMWg6fNCrpcUefdEiHri8ODClLPu5y4oknctttt3HHHXcwderUVJ9epEjJ4Hx+9cQlaLRq/vePhUw5bAj9C7La7DdmUCGHDi1pewIhMpTJZuS6P12O0dq2QfOMX5yEOcfMDX+8GMVeI4IVCgU3PnEJ2fkdTz5mmY1ccvJYcm1tO2CMG92/U4tACyG6pmRIATc9eSkqdduE/zUPnY/B3L0NHPbCLG79y5UolW1Hct305GVk75V8zM22cPXp48kyt+0MccLYoeR38IVCiJ6UU5TNbS9cjzpBY+Ivn7qC7L2eNYsG5XH0SQe32Tc738r5N00jO69nOr/ZbWZ+fvp4si1t423y4UMokE54QgghMlxBaQ7XPnohBrOuTdlpMydhSHAP7E4WvYZfX3B8m+0qpYK7L51CkV2edYUQBxarQcdvT5mMSadtU3bJ0YdSYNnxuTh6UCGHDClqs09Jno0zjhmDQdv2+ETMWSZ++dQVGBN8/s+44RRyShK3Web1y+Gah87HaGnbhnLK5cdhye6ZDqQiMyjiXRwL++2339LU1MT06dNbts2ePZv7778fr9fLWWedxV/+8hd0urYPOJnE7XZjs9lwuVxYrdZ0VyclGutduOs8vPP3T3A3erniDxfy5dqtzF+6AbVKyRnHjGH86AH0y89Kd1WF6JR9xWssFqNmaz3znvuYpR8ux5Zr5fzbzmT4kYPJyrNRV9FIU62bt/8yn4qNNZQOL+S8G6eRVZRFQXHnE4ZltQ7mfb2OL1ZuxqDTcM7xB3PosBL65WWl4KcVIrP15P21ocaJq97DnGfns2V1BYUD8zj3hpPI62ensH9ut14bIOALUrW1jreemc/WNRWUDi/kglum029IQdLk5/aaJt5bspYlq7diMug4/4RDGTOoUD4/RFp0JF5DwRDVW+qY8+R7rPt2E0WD8rnorrPoP6of5qy2nXGqttWzfulmPnhxEb7mAOOnH8qUCyfQb0jiEZTdaXtNE+9/9SOLV23ZEW+TD2XMYIk3kZn64vtrZ63ZUs2Vv3+Ns447iHuvODnd1TmgXLV0JoGYmmcOvYc8w4B0V6fX66l49Xj8OKqdfPCvz1m1ZAO2XAszrpvCwNElFA3o3llAEqmud1Hj8PDKgu+pqHczvF8ul5x8BDlmA3k5B+bnluj95P4qulMsFqfC6eKN71fz5aZt2E0Gfj7xSMYU52M37U7qVdQ5+W59OXO/XE0kGmPqkcOZeuSwTg9y2NE+WscH//yY7z5aQVbejvbRYUfsaB9Nxu/301Du5P0XF7Hqy/VYcyzMuPZEBo3pR1E3zyolMkuXk4/Tp09n8uTJ3HnnnQCsXr2asWPHcuWVVzJq1Cj++Mc/ct111/HAAw+kor5p05dvLq6mZpqdPnRGLVm5ZmqbPICCEkk6igzV0XiNhCN4XT7UWjWmBCMhm+pd+D1BDGYd9vzkN92O8IdCNDh9qFUKinK6di4h+pJ03F+dDR68bj86o47cwp6Px6A/RMAbRGfUojfuu3OW1x+kyeNDrVRSlCufHyJ9OhOvoUAInyeAzqDt0Mji2vJGIpEY9kIbBkPHeut2B28gRJPbh1qlpEgaPkUG6+77a/WWOgoH5bWZLaQ3keRj+lz57UyCcUk+dlRPPw83O324Hc1otBrykoxs6UkNDg/+UBiTToM9S2YbEL1bX24fFr1HOBrFEwiiVakw65O3GVTVu4jGYxTZLajViaey7tD1whF87bSPJtPs9OFqakar15C3H4M1RN+3/3+VO61YsYKHH3645fvXX3+dcePG8dxzzwFQWlrK/fffn/HJx77MZjdj22NKixKZClIcINQaNbbc5A+L9jwbpKjDjkGrpTQ/fY2pQojdsnItZHVi/dZU0xm06DqRXDEZdJgMmT2DhDjwaPVatPqO/50XlOZ0Y206zqTXYupEvYU4EG37sYLrxt7Jb1/5FZPOG5/u6uyTrP0oRGvmLCPmrN4zLV6uTG8uhBCtaFSqViMdkyluZ3Rip663j/bRZHrb/UT0Pl1e89HhcFBQsHtapEWLFnHKKae0fH/UUUdRXl7e1csIIYQQQgghhBAizerLGwAo31CV5pq0r4uTPIku2DUgNo78GwghhBBCHKi6PPKxoKCArVu3UlpaSigUYtmyZTz44IMt5R6PB41G09XLtHjggQdanX9XHWpqapIes2jRIm699VbWrl1LcXExd9xxB7/4xS9SVqdMEgqFqKtvpsnhxeP2U1SUhdGoo7DA1na/ajeOxmY87gBF/bLRG7QU9YIpOYTo7eobPfh9IWpqXKCAASXZBAMRqiqa0Ok05BZYsWUZsNrarn0lhOh7HE0emj1B6qpdRCMxCkuyMJh0+IPhls+JwgIbZpMWu116fguxv+ocHuoczeQYgJgenzdIbZWTLLsJW7aRkl4yulKIPiNDknu9eGbYPmvXn4YkH/sut8uLy+mnodZNMBimqMSOQq3A5w9jsegpken3hBBivzQ3B3A4fdTUuDCbdQwckE1jUwCXy4fD6aUg30qWzUDAF6au2kUkGqOoJBuDUUtefudHLza7fLgaPNRsr8dkNZJblEVOcXavnlpfZI4uJx9POeUU7rrrLv7whz8wd+5cjEYjxx13XEv5qlWrGDJkSFcv08qYMWP45JNPWr5XqVRJ9926dSunnnoq11xzDa+88gpLlizh+uuvJy8vj3PPPTel9ertwuEwW7Y28ruH3qGhwdOy/fhjh/OLa06gqDALAL8/xLZNdTx0+xs0NTa37Df55IO46voTKZQEpBBJVdc6+ebbzfztn58RDkd5/q9X8t7b3zPnP18Ti+54+TaadNz50NkMG1VETp6sESBEX1Zb5WTtqnL+/Pv3CPjDAKjVSi677gQOPXogd977FgBarZpf/XIKRx0xiIICWddRiM6Ix+Nsqmjglmfe4f9unEY8auGZWe+xfOnWln2K+2Vz3x8vZNDQgnbOJIToS3alvTIkRypExmisd7NxXTV/uO8dfN4gAEqVgvMumcDk6Qdz/8Nzuf+eGZT2s6e5pkIIkVmaHF7++a/Pmf/xGgBeeeFqamqbuf/huZRXNAHw4D0zqNxcz1OPtm5juPTayUyedjBFxVkdvp6j1sULD8/h4/981bItO9/Kg6/fxNBD+6NUdnnSTHGA6/Jf0COPPIJKpWLSpEk899xzPPfcc2i1u9dJeeGFFzj55NQu7q5WqyksLGz5ystLvijb3//+d/r378/TTz/NqFGjuPrqq5k5cyZPPPFESuuUCWpqPdx5z5utEo8AXyz+if/+bxkejx+Axjo399z0SqvEI8DnC9bw4f+W4fMGeqzOQmSa+joPzzz7CeFwlNNPO4xtm2p5a/ZXLYlHAJ83yEN3vInHLbEkRF/ncft5/L7/trwUAEQiMV58diEeh58jxg4AIBSK8Kc/z6dhr3uvEGLfaps8/PJPb1PraMZozOblv33aKvEIUFXh4P7fvE5FeWOaaimEEAcOGSzRt3ncAR66482WxCNALBrnzdlfsW1jHSNHFPL7x9+nqtqZvkoKIUSGiUZjzPtoZUviESCOgt89+E5L4tFmM1BcYOOx37VtY3jp/z6lfGt9J64XZf5/FrdKPAI46tzcddafqN95TSG6osvJx7y8PL788kscDgcOh4Ozzz67Vflbb73F/fff3/J9RUUFsVisS9fcuHEjxcXFDBo0iIsuuogtW7Yk3ffrr79uk/ycNm0a33//PeFwOMlREAwGcbvdrb4y3Zat9bg9iZMdH3y4EofTB8BPP1bhbQ4m3O/9t7+nqUEaRkXv0lvitaGpmTfe/rbl+xmnHMobLy9OuG80GuOz+at7qmpC9Bq9JV57grc5wHtvf5d0xMWbs5fw80uPa7Xt7Xe+x+Xy9UDthNi3TInXLdWNOJt3dKLzeYJ8sfDHhPvVVjlpqvckLBMi02VKvPakXfdfSYT1vN3PPjLsNJFMj9eFH64iGk3crvfW7CWcdephrN9QjdebuF1JiEyS6fEqMkdjUzNvzvmu5fspJ4zE4fBSWeVo2fbrG09qt43hjZcXU1vtSFy4l6YaF2//ZUHCMp/bz4ZlWxOWCdEZKRs7a7PZEk5/arfbW42EHD16NNu2bdvv64wbN47Zs2czf/58nnvuOWpqapg4cSKNjYl7MdfU1FBQ0Hp6pYKCAiKRCA0NDUmvM2vWLGw2W8tXaWnpfte5t6isSt5jwe8PEQ5HAagoS94jvNkTIBLuWvJYiFTrLfEaDISprnG1fK9Rq6itcibdv2JbI5FItAdqJkTv0VvitSf4vSGqK5I/+NdUOtBoWj87VVU78fpC3V01ITokU+K1om73vTfgD7WabWBvdTXSYCT6pkyJ13SQaVdFb5PJ8RoKRahsp82opsqJRr3j+VaSj6IvyOR4FZklEo7i2WPQ0IzTDqd+rwFAWTZju20MtVVOQqGOtTNGQhGand6k5eU/1XToPEK0p8cn7o138cl/+vTpnHvuuRx88MFMnTqVDz74AICXX3456TF7L5C6qw7tLZx6991343K5Wr7Ky8u7VO/eYMjg/KRlNpsBrXbHA+LQEUVJ97PnmlFrkq+xKUQ69JZ4NZm0DB60O84CoTADhySPuxEHlaBWSzyJA0tvideeYLYZGDIy+T118LACfIHWicZhQ/Ixm/TdXTUhOiRT4nVoSU7L/xuMWnS65Mval5TK+lOib0pHvPb2pF5X2x7E/tvd1CL/Bolkyv01Ea1WzfDRxUnLBw3NJxCKAGC1yjOtyHyZHK8is2i0anJzLS3fv/jvLygqtLXap6ra2W67/aCh+egM2qTlra6n15BbnJ20fPjhAzt0HiHak/GrhppMJg4++GA2btyYsLywsJCamtaZ+rq6OtRqNTk5OQmPAdDpdFit1lZfma5fsZ3ioqyEZRedP47cnB0fcAMG55FXkPjn/dlVx1FYYktYJkS69JZ4zbKZuPDco1Aqd7xtv/CfJVx27eSE+xpNWiYcP6IHaydE79Bb4rUn6PUaTjnzMLQJEiEKBVw08zj+/H8ft2xTq5WcPeMIaagRvUamxGtpQTb98rOAHUn/U885MuF+w0YVYcs29WDNhOg56YjXTJnONFPq2ZfsyvtK/jexTLm/JnPM5JEYTYkbty+9ZjIv/GcJ48cNxmjU9XDNhEi9TI9XkTlyc8zMvPzYlu+Xr6zEajUwao9k49PPfsy0dtoYfvbz48nP79jfaE5hFpffc1biuhRnM3B0Sed+ACESyPjkYzAYZN26dRQVJc76T5gwgY8//rjVtgULFnDkkUei0Wh6ooq9RklJNrMePo+Dxuz+8NDrNFx28QQmHTsCw86eESX9c3j0mUsYedAe+xk0XH7dZI46ZhhqdfLe5EIc6Ox2M48+eC55eRaWLt2CUqvi1vvOxGoztOzTf1Aus/56GblJkvxCiL7Dlm3i0Wcuoahkd49Ce46Ze2adj8sTYMvWHVPAF+Rb+f1D55Fll8SIEJ2Vl2Xm2V+fy+HDS/jLX/7JWRcdzZkXHNVqWuOx4wZz96PnUdwvee9eIYQQQuxbboGNWc9eTunA3JZtVpuBW+87E4VGiVGv4Ve/PInCAum4LoQQHaVQKJg4fii/uGZySxv92h/LueeuMxh31GAUCgiFoixdvpVHn7mk1XtNdo6J3/7+PHI6mHjcdb1x0w7hmocvwGDe3VlkxBGD+MO7t5FXIjPGiK5TxHt4LhKLxcLKlSsZPHjwfh1/2223ccYZZ9C/f3/q6up45JFHWLRoEatXr2bAgAHcfffdVFZWMnv2bAC2bt3KQQcdxHXXXcc111zD119/zS9+8Qtee+01zj333A5f1+12Y7PZcLlcGd/LpbrGic8XIhAIY7HosVmN2PZIjLTsV9GEzxciGAhjsRqwZRmxZhnTUGMhOqc3xGtFZRMeTwCFQkFhrplmbwiPy49ao8Jk1lHcT27iQkDviNeeUFneiNcTJBaNYbYZKCiyUlvrwdO843PCbNbRTx7uRS/X2+PV1ezH6fHjDYQotJlodgVo9gQwGLUYzToKCrPSXUUhekx3xuvSj1bwu7P+yGX3nsOl93b8nbqnLf+pgmsef5OzjjuIe684Od3VOaBctXQmgZiaJw+5gyLj0HRXp9fr7ffXZKrKG/F6Q0TCUSxWPWqdmkAwgsmkI2+PqQOF6EsyNV5F5giHozQ2NePxBNBq1WTZDASDYby+ED5fCLNZR47djMvhw+sJEI3FsFgN5Obb0Os7P2AoHIrQVOPC4/Si02uw5liw5Zi74ScTB6IeH8LW3jqLHVFRUcHPfvYzGhoayMvLY/z48XzzzTcMGDAAgOrqasrKylr2HzRoEPPmzePXv/41zz77LMXFxTzzzDOdSjz2NUUdbHgpkuSIEPtt7yRCVvJZnoUQB4CS0rYfAv3kPitEStnMBmzm3R3q7HZp+BRCyNSf6RSXNR/7tOIEz7dCCCG6RqNRUVhg2+focbM5Ncu1aLRqCvrnUNBfPtNF6vV48rGrAy1ff/31dstfeumlNtsmTZrEsmXLunRdIYQQQgghhBDiQJcpayhK2ksIIYQQQoj0SVnycebMmfz5z3/GYmndw9jr9fKrX/2KF154AYAff/yR4uLiVF1W7IdIJEJtpZM4O3pTFBR3be2bYDBCQ40TAI1OQ36hzOsvhGvnFAkKwGTRE43E8PtCKBQKsvNMGI2p6aEkhOg9aqschMNRFEBBSVbK10jedb+NA1qtmvyirJSeX4hMVlvlIBKOAXFKBuTuc/+9BbwhGhvcxAG9XkOurFMlRMbb1fE5U5KlfcnuPueSAs50lWWNEAeVWklhyb7bjuqqnYRCERRAbmEWOl2Pj3kQQoiMEg5HcDl8xONxrFYjOoMmpeevKmsk3onP8VTzOP24XF6Ig8msJztXpnQ9kKTsKeDll1/msccea5N89Pv9zJ49uyX5WFpamqpLiv1QU+lg8Sdrefe1b3A2eRl5SClX3DCF/CIbefuxDk5NhYNP563kg7eW4nH5OeiIAVx5w1Ry8q2dWuRWiL6kYlsDb774BYs/+RGFQsFxJ43hvCuOZfbfFrLy2y1MPeNwTr/gaIpKZcpFIfqC+hoXddVOXv7rJ6xfXUGW3cSZPxvPsVNHU5iidRxrKh0smr+a917/FrfTx+hD+3PFr6aSV2glN1+SJOLAVV/torrSwct//YSNP1Ziz7Vw1iUTGD95ZIdfrqsrmvhwzvcsmLsMvz/E4eOGcNn1J5JXZMVqNXXzTyBE5smUaUx31TNT6itEb1JT6WDplxt4599f0VjvYeioYq64YQqFpXYKEnSAa6h10VDn5uW/LmTt8u1YbUZOv/BoJk8/JC2N3UIIkQnqqp3879VvmD93GdFIlGOmjOFn106iuNTe5aXraiodLP92M3NeWkJttZNBwwu4/PoplA7K7fJApI6qKmtk7n++5tN5q4hGooyfNJKfXTOJov7ZaDSpTbKK3qnLyUe32008Hicej+PxeNDrd4/miUajzJs3j/z8/K5eRqRAdYWDf/xxHt98vr5l26rvtnL7zH/xyP9d3unkY3VFE0898A6rvtvWsm3ZV5tZuXQrjz8/U5KP4oBUub2B22f+C0djc8u2j/77A98t/ok/PDeTqz9aw5zZS/jhq0387qmfUSJzqguR8cq21PG7G/5NLLajdbOu2sXzT85nzfLt/OL26V1OQFZXNPHXR9/jh682tWxbsXQLq658nsf+caUkH8UBbfOGah685dWWEU41lQ7+/vg81q0q58pfTd3nGuZV5Y38/rY32LS+umXbN5+vZ/k3m3ly9jWSfBRCiC6QNR8zU02Fg1f+vpBP3lvZsu3HFWXcec2L3PunixImH6srHNx5zYvEojEAGurcvPSXT1i5dCs33XfmPu/HQghxoKmrcXHn1S9QXeFo2fbJe8v5ZtF6/vLqL7o0YKGu2sn/s3ff4XFUVwOHf7O9aYt6t9xxtwFjG0wHY3oNhE4gQEiAEGpI6CSQhATIB4FACCR0CC00QzAdjA3uBtybLKu3lbaXme8PWbKFdiXZlrQq530eHuy5s7Nn17qacu4999Wnv+StFxe1bVv37XZu+fnTXP+703BnpPX6zPTtpXXccsW/232+j+et5Jsv1vHAM5dRNDyrV99f9A+6vT2A2+0mPb0lGz9mzBg8Hk/bf5mZmVx88cX84he/6IlYxV5qavC3Szy2UlWNx+6bR/m2ut06Xk2lt13isVU8pvLE/e9TVd7Q8UVCDGJBf4QP3lzWLvHYqq66mc/+9y2X33AsAFs2VLFhdXlfhyiE6GHlpXU8dt+8tsTjrhZ+vIamhsBev0dDbXO7xGMrNa7y+J/nUbFdzrdiaNpeWsdj972bcE35T99bRcAX7vIYW9ZXt0s8tgqHojzzt4+orW7qkViFGEwGThlTKbs6EHxZegDV/ndSHYbYRcAfbpd43NXjf57H9tLadtsqtzfw+J/ntSUed7Vs0Ubqapp7JU4hhBjIli3c0C4x18rXFOTNFxcSjcT2+NjBQIS3X/o6YdsT979PzY7l03rTsq+SfL7mEG88/xVNXn+vxyBSb6+Tjx9//DEffvghmqbxyiuv8NFHH7X998UXX1BaWspvf/vbnohV7KWVizcnbdu6sZpwMLpbx1v85fqkbatXbiMc2vNfkkIMRA31PhZ9ti5p+8JP1rDP5J2lp7/44DtiMeknQgxkoVCU0k01SdtXLt6y1++xdOHGpG0b1lQQDkb2+j2EGIiC/nDCG9pW368o7fIYX370fdK2JQvW7/b1sRCi/5Cyq/2fpmnE1EY21f851aGIXaz7fnvStuoKL0F/+2vPcCjK+u+TD6xdsiD5syMhhBiKQsEIn7y7Mmn7go9W0+wN7vHxSzfVJBygCdBY78ffFNrjY3dHfZ2PLz9anbT9m8/X0dSw559PDBx7Pb/20EMPBWDz5s0UFxfvdT1i0XtsDkvSNp1OQW/YvVy01W5O2mY06tHp5GdBDC16g4LVZkrabrGZUNWdo0FtDjMGQ++WORBC9C69QYeiKEkv7G2O5OfK7rLZk5+/9QYdev1ejyUTYkAyGPWdttu70f9snVzPWmwmKRkohBC9Kg6Ahgyk6k86OzcCGAztz7+tz5PisY4zHwHsnTyLEkKIoUiv03V5H6LT7/lzdas1+bNJ6Po+am8ZDLpOn49abWbJGwwRPfa0avXq1Xz55Zdtf//b3/7G1KlTOeecc2hokHJg/cGk/YahS/KAcv/Zo7u8wPyhmYeOTdp28NETsKfJBaYYWnLyPBz/o+lJ24//0XTeeO6rtr/POXnfvghLCNGLbDYz02ePStim0+uYuO+wvX6PfWeNTDq4a9Zh++z2+VuIwcJqNzPlgOEJ24xGPaPHF3R5jCNPmJK07eiTppGe5djj+IQY7Pr7jMLW8GR8dOokG5zVStVaq8DIP1J/MnxMDkZT4kGyE6YVdxiIbnNYOOiI8Qn3VxSF6bNH93iMQggxkBnNBk46Z2bS9pPPnok7fc/vQ3ILPUmfE4zcJ6/XnyE4XTaOOyP589G5p+1HfnFGr8Yg+oceSz7ecMMNNDW1rImyatUqrr32Wo477jg2bdrEtdde21NvI/aC1Wbmqt+e2OEBZma2k5/+6hgyc1y7dTy7w8yl187tsD23wMO5PzscT4Y8rBFDz/ipxeyf4OZq5mH7UDIqh8//9x0AJ509g/SstL4OTwjRw7JyXfz02rlkZLfvz4qicNUtJ2K17f1Fvd1u4YqbjuuwPTvPxYVXHUVGtnOv30OIgSgnz80VNx3f4ZpTp1O45s5TOh1t28qT7uCMC2d32F4yKocTz5qBzSaD6YT4odZ1jvt7Uq818dXfk6SDWVezxzVkCYr+yGYzc93dp3WYleJKt3Plb04kJ9/dbntGVhoX/OLIDtsBLr9hbo9cDwshxGAzbGQ2x5zacVLClP2HM+PQffbq2E6XjRvuOb1DlUNHmoVrbj+ZvKL0vTp+dxQMy+CI4yd32D5xWjEzD9u7zycGDkXraihaNzkcDr799ltKSkq44447+Pbbb3nllVdYunQpxx13HJWVlT3xNinT1NSEy+XC6/XidA7ch3zVFQ00N4X46O0V1FY3MW3GSCbtN4yCYZl7dLyq8gaaGgPMf3s5jXV+Djh4DPtMLqJARi+IFEp1f63YVk9FWT0fvbsCRVE44vgpZOe6ePnJz9AbDRx1wlQ8mQ7yCnv/ZC9Ef5fq/tpTtm+tZdWSrSxbtJHMbCdHHD+FNJeF7DxPjxy/ansDzU1BPnx7OfW1PvY7cBQTpg6jYJicb0Xf6a/9tWxrLSu+3syKbzaRk+/m8OOmkOayktXNgXUVZQ1463188OYy/L4QBx05gZFjc2U0rhjQerO/Lnx3Kbef9hfOv+U0zrvl9B49dk9a9P1WfnH/q5w8eyK3XjQn1eEMKRctupiwZuCPk35FsX1c0v2i8UYWbDsAkz6HWUWf92GE/Ut/PL/WVjfR7A3w8bsrqSpvZNK+JUydMYLCkuTPjrZvreX7FdtY/OV6PBkOjjpxKmkuW8KkpBADVX/sr2Lg8jb4qSir539vLCUSjnPUiVMoHpHdI5MV6mubaWoM8On7q9i+tY5xk4uYPnsMOQUujEZjD0TftYptddRWNzP/7WVEw3EOnTuJouGZ5BfJfdZQ0WOLjZlMJgKBAADz58/nggsuACA9Pb1tRqRIvew8D9l5MHJsXo8cLyffQ06+p1tlrYQYKvKK0skrSmffWe1LMf7qztNSFJEQorcVDMukYFgmc0/br1eOn1PgIafAw6hx+b1yfCEGssJhmRQOy+y09Hln8go95BV62GdyUQ9HJsQgNUBmErYOs+7vMzSHstaZj4qUXe13MrOdZGY7Gf7L3G6/pvV6+OiTpvViZEIIMXi4PHZcHjv7TOr5+5D0zDTSM9MoGZXT48furryiDPKKMpi0X0nKYhCp1WPJx9mzZ3Pttddy0EEH8fXXX/PSSy8BsG7dOgoLC3vqbYQQQgghhBBCCJEiPVQ8qQ8MlDgHMU3tvFmTsqtCCCGEEINVj635+PDDD2MwGHjllVd49NFHKShomQk3b9485s7tuC6gEEIIIYQQQgghBpaBk3xsMcDCHVI01B3/l38kIYQQQojBpsdmPhYXF/P222932P7AAw/01FsIoHxTNds3VvH9og1kFqQz+aAxOD1paDqN5no/qxaso2Z7PeOmj6RgZA6b1lfhaw4xcb8S0lxW3OmOVH8EIQa8uvIG/M1Bln3yPY01zUw5ZB9yijPZtL6KTeuq2O+g0bKmoxADUOXWGrx1PhbP/xadQccBR0/GlmahvsrLko+/w+qwMP3IiZgsBraXNVIwLFPWhBOiF1RtrSPgC7J4/irCwSj7HTkBq8PCZ28uZtSkYoaNzae6uomyrXVMPWAEDocJT7Y71WELMXQMkDyRlF1NHUUBtG78qLTNjBwgP1SDQPnmaiq31LDqy3Wk57qYcsg+1FY0smrBeqYesg/ZBR50Jh05+cnXdhRCCNEzfN4A9ZWNLJm/img4ylEXHUjYr1G5vYGVX2/Gk+lg6syR2OxmMru5nn2raDRG1dZaVn+zie0bqxi7bwkl4wvJK8lqt1/55mqqttay8ou1eHKcTD1kHDanhcy8nc80q7bV4W8K8M0Hq4hG4kw/aiKuDAe5w7J++LZCtNNjycddBYNBotFou22yCO/eK99UxR3nPEzp2oq2bUazgdue+QWeHCe/OvaPRMM7y5YUjc7ljud+wf13/pdH//A2dzx0PqPG5eJ0SwJSiD1VV97IygXruO9n/0SNt9wsv/CXdxgzrYSbn7ycf/x5Hs/9/SNmHrYPP7vpeHIlASnEgFC5tZanf/8GH/1nUdu2f9/9OmdcdQwTZo3m+T+/A8A/73iVS+86gxnHTOaOq57h9ofOp0ASkEL0mMqttXz8yiL+/bvX27Y9+8c3mXncVM654QSuPuoesgvT+d3Lv+Sjd1fw2B/f5bf3/5h9NPDkuFMXuBBDyECZ+dg6m26AhDtIdf7lt858FH2jYnM1v7vgUTZ9u61tm8Go59dPXEY8EuOmk//CuOkjuOnvl7BpbQUjxualMFohhBjcmht8vPnYfJ6++zUAHvjm14T9Gr+/7kU2rC5v209v0PHrP57FuCl0OwEZi8VYt2Qzt/zoQYK+cNv27KJ0fv/Kryga0/L7vWJLNff85DE2rNi6y/vp+fU/LmXcDMjMS6eqtJb3nv2CF+5/t22fZ//0FgefvB+X3HoauSWSgBTJ9VjZVb/fz5VXXkl2djYOhwOPx9PuP7F3aisaeOqu19olHgGi4Rh3X/AIOp2uXeIRYNv6Sp686zWuv+tUIuEYd1/zHN7GYF+GLcSg42sKtEs8tlq3bAuv/e1//OXpSwFY+MkaFn26JhUhCiH2wPdfb2iXeGz1ykPvY7YYySnamWD8x22vEGgOoaHxrwffp7bK25ehCjGoNVR72yUeWy18dzlrF2/i0FOnU11Wz19/9QznXHIosVice657kWZ/NMHRhBC9oS2Z18+nFErSsf/TiKc6hCGjsdrLC/e/0y7xCBCLxvnDTx/nsDMOAGD1N5t465+fYLboKS+tTUWoQggxJJStr2xLPALkZhfy8pOftUs8AsRjKn+46SUC/vAPD5FUdWk9d533t3aJR4DqbfU8eM3T1FU00ljTxMsPvtcu8djyfnH+cOk/CDSFAKgqq2+XeGz1+X+XsHLBum7HJIamHks+3njjjXz00Uc88sgjmM1mnnjiCe68807y8/N5+umne+pthqxAU5Av316WsC0SirLl++2MmTqsQ9tX81YQCbU8jAkGImzdUN2rcQox2C2e/22HxGOrD15YQLA51Pb3t15cxPYtcsMmRH9XubWG/z72YdL2d576lDN/2X796v89/yV3P3IhX360Gr+v+zcBQojkwuEo8/79WdL2N//xMXPPmw3Ad4s2EPS3nHOj0Tirl29N+johRM9qm/ko2T2xlzRNko99pdkb4OMEA+2gJQH5/aKN7HfEBADmPfMFWkzDt8u9rRBCiJ4Ti8T476MftNvmbw7z4VvLE+4fj6ksX7Sp28evLqvDW+dL2PbdV+tpavDR3Ojno5cXJnm/OMs+XU0wEOKdpz5N+j5vPvExFVtquh2XGHp6rOzqW2+9xdNPP81hhx3GxRdfzMEHH8yoUaMYNmwYzz33HOeee25PvdWQFA3HkiY8oGWUuCszrcN2Na62mxHZmOQXjxCie+qrGpO2hfxh4rv0U2+DH1UeygjR78WicZo6OT9665qxpVnabWusacZo0KPGVWKRWJJXCiF2RzQUpbGmKWl7U10zJvPO25fWAXYA9bVyjStEnxkg17cDpTzsYNZ1WVUpu9pXYtF4h2pZu2qo2vlMKdAcRFM1wiG5xhVCiN4QjcQ6PF+Mx1Uinf2ermnu9vGb6ju/N4qEoiiKQjgYSf5+VV7i0Tje2uTv663zEY/JQCKRXI/NfKyvr2f48OFAy/qO9fX1AMyePZvPPks+gll0j8VuJquTtePG7jecNUs2d9iemefGYjO3/X30+PxeiU+IoWLqIeOStg2fUIjRtPOh6IR9S7BajX0RlhBiL6S5bEyaPSZp+9RDxrH6m/ajDPc/YgIrl24hK9eF2Wrq7RCFGBIcLhv7HTExafvEA8dQvrllZK0tzYrdZWtrm7BvxwogQojeITk90ZXu/oxI2dW+Y7KYKByVk7R94qzRrPqypXzemGnD0Bv1uDz2vgpPCCGGFIvdzMzj9223zWjSUzwi+fqJkw8Y3u3jF41Ovmav3WnF4bJhNBso7mRt38mzx2Kxm5l2WPLnoJNmjcLutCRtF6LHko8jRoxgy5YtAIwfP56XX34ZaJkR6XJ1bzHU7rj33nuZPn06aWlpZGdnc8opp7B27dpOX/PJJ5+gKEqH/9asGTjrsRWMzOEnt56asG3izFEYTAaaG/wd2i767SnU1LaMIJ82cwROt63DPkKI7isYlUPJ+IKEbZfceQabN7WUNjYY9Jx3xRFk5rr7MDohxJ5wZTk57edzEiYRnekOZp+4L28+8XHbtqyCdCYdOIY/3vgyF119NIUlmX0ZrhCD2v5HTSQ9t+O9g9Fk4MfXHseTv2tZF+XH1x5LTG15uj1mYiGZ2c4+jVOIoWx3ZhQGfSEaqlO7NrKGZEtTpasfFZmd2ncKRmRz8e2nJ2wbPXUYZruZmu31KIrCT249jcqKRhxp5oT7CyGE2DuKonDQCfviytpZxTAr18nF1xyTcP+R++SRW5B8UtIPOTMczD5pv4RtZ19/PFmF6RSMyOGSO89I/H6TisgtycJgMHDQ8dMSVls0WYz86Oq5eLLd3Y5LDD09lnz8yU9+wooVKwC4+eab29Z+/NWvfsWNN97YU2/Dp59+yi9+8QsWLlzIBx98QCwWY86cOfj9HRNvP7R27VoqKira/hs9enSPxdUXxh8wipufvJy84dlAyyiJEy89nOsevQR3tpOTLj0ci73l4jCvJItfP34p46aP5K5fPs8p5x3IL28/lbyijFR+BCEGvPzh2dz27C+Yc+5BGHeUfhu2Tz53vXw1BaNyuPuaF9hnchF/euoSMrIcKY5WCNFdWflu7nvnRiYd2DIDUqdTOODoSfzxret595nPAdAb9Bx80r7c859fsmjBRm6+7yzGTy1OZdhCDDoFI3P4wxvXc+AJ09DpW25Vxk0fwb3/vY75Ly9Er9dz9V/OY/YJ+3HNuY9x3I+mc/OfziS/WK5xhegru5MwuvzA2zl77HW9GE1yktdKva7/CWTmY18aOWkYtz37CwpH5wJgtpo49sJDuP7RS7j7okcZPr6A3718NTnFGeQVZZCeJQN7hBCit+QMy+KB+bdy4In7odMpnOj5KcWjs7njofMoGt4yA9JkNjD39P255f5zyCvqfvIxI9fNZb87k7N+dRx2pxWAzAIPv3zwAg47fQYmc0uVtmFj87jjhasoGtMyA9JkMTL3/IP57b+vIH9H/qFwVC5/euM6ZsyZjE6nADBh5iju++/1ZMgAUNEFReuloWalpaUsXryYrKwsnnrqKZ588sneeBtqamrIzs7m008/5ZBDDkm4zyeffMLhhx9OQ0MDbrd7j96nqakJl8uF1+vF6Uxtx9q+qYpYJI7eoMOVmUaau6UURnOjH29tM/GYisFkwJPtpLrSi96gI91tw+6WkhliaOiL/uqtbaa50U88pmI0G0jPc1NT4UVVNcxmA7mdlEkWQuzUn86vAFWltYSDURQFrHYLmQUeKrfWEg5F0Ol1WO1motEYqqZQMExmPIqhpS/7a11FIwFfy5pTFrsFVdUIB8IYTHoy8t1UlTWiM+hwOa0402WwjxA/1Jv99ZOXv+LeCx7mvN+exvm3Jp5J1Wqu56cAvNfwRI/G0B2fLd/ItQ//l5NmT+C2ixLPJBC946JFFxPWDPx+wi8YkTYl6X5N4RUsq/gRJn02s4q+6MMI+5e+vh4u31xNNBxDb9DhcNvwNQba7mvT0u2YLAbMZpn1KEQi/e3+VQx8geYgzfU+NE3D7rKT5rFTXlpHNBJDb9CT5rLg8uzZ/U40HKVmewOxaAyj2UheSeKyruWbqohGYuj0OpweO67Mjj/bNeUNhPxhNFXFbDWRUyzPQ0TXDF3vsmeKi4spLi5mxYoV/Pvf/+615KPX21LCJT296wf906ZNIxQKMX78eG655RYOP/zwpPuGw2HC4XDb35uamvY+2B5SMCJxnf40t70tEdmqZJTUXRaDXyr6qyszrUPZgdaRSUKI5Prz+RVIeAGdK0lGMUSlsr9m5LnJwJ20fVgn61YJMRT1ZX9VVRUAZcfo9/6qdZS1Qv+OcyjTNDXVIaREqq+HW2eztHIneMgshGiR6v4qBj9bmhVbmrXdtp6q6mI0G8kfkd3lfvlJcg27ysr39ERIYojpsbKrqaBpGtdeey2zZ89m4sSJSffLy8vj8ccf59VXX+W1115j7NixHHnkkXz22WdJX3Pvvfficrna/isqKuqNjyCE6AHSX4UYOKS/CjFwSH8VYuDo0/7amtXr53VNZT3B1Ot6vc2hWXZVzq9CDBzSX4UQYs/1WtnVVitWrGDfffclHu/5i8pf/OIXvPPOO3zxxRcUFhbu1mtPPPFEFEXhzTffTNieaGRLUVHRHk2rL9tQSdgfwmg2YndZycjbvXKMjTVNNDf4iYSjmK0mHB4bdVXNGE0G0txWPDJKrcepaoSYWo2mhdApVgz6XBRFn+qwRBJ72l+3r68gFIhgNBs69E1fo4+G6mYioQgmqwl3ZhqN9QEikRhmi5GsfKeUohH9nqapxOJVqJofnWJCr8tCp7N2/cJe1JPn1+68V83WesLBSFsZqV0XQ68qrSHoC6NpGhabGU2nIx5X8WQ7cDhsPRqLEANRT/XX8k3VhHxB9AY9ljQzOUUtlQJ8TQEaqrxEghFMFhOe7DQc7paSQtXlDQT9YeJxFavNRJ6U9RF9QNPixOKVqFoQnWLZcd4cGNd7fXl+/fD5L/jTxY9y/i2ncd4t/bfs6ifLNnD9397k5NkTufWiOX3+/kNZa9nV3034OSPTpibdrzH0NSsqzxtyZVd7s79WldYQbA6haWCxmckqTsdgMLRcF5c3EQ5FW54luWx4MqVsuRBd6cvz62AXizeiqo2Aik7nwqCXNdv3RtX2BkKBMGpcw2I3kVfU8fuMhKMt91vhKBabmfRcN3p9x7loteX1BJtDGM0GXJlOrI6OlRSrttYQar0/c1jIG95xRmVTvQ9vbXNbDiOjIB2r1dQzH1gMSL1WdrW3XXXVVbz55pt89tlnu514BJg5cybPPvts0naz2bzXiYXKLTV8v3AdT976EjXb6tDpdRx00v785HdnUTAyt1vHqNhSwwv3vcXH/1lINBzDneXk7BtOIH9MPnf9/GkOOW4K5/1yDnk9NB1bQCxWRb3v7zT6nkbTguh0bjLSfonTfjoGvTz46o92t79Wbanm+6838OQtL1FdWotOr+PAE/fj4t/9mIJRuVRureHdpz7h7Sc+JtAcwpZm4cSfHsHsU6dz7VmPYHda+fHPj2TmkRPI3Y0Fn4XoS7F4A/7g/6jx3kNcrUHBRJr9dDKd12M05KUsrp44v3ZHxZYalvxvBc/+/jUaqrwYTQYOO3MW5/72NByZDio3VvPI9c+x+puNAIyaOoyf/eEcvvzwe8xWE3PPnCH9Wwx5e9tf66u8lK7ZzqPXPs2W77YBMPmQcfz8LxfgznHyxt8/5K3HP2w7157w08M57ieHEQrHePSu/7JyYUv/LB6dwxW3nUzhyGwys1098dGE6CAWr8Xr/w/1zQ+hqo0oihW34yLS0y7DoO//ZX776vwKA2dGYWucilRdTaHOf1aGatnV3uiv/iY/ZeurePjqp1i3ZBMAY6eP5PL7ziN3WBZffbyG5//vAxpqmzGa9Bx6wlTOufJoeZYkRBf68vw6WGmaRiS2nqr6XxOMLATAbJxAjuePmE0T0SmSnNod0WiUbRtqePSuN/j2m80ADN8njytuO4XCkdl4MloGltRXNvLyg/OY969PCQcjONMdnHPTiRx+xsy2ZaT8jQGWffwtf7/x2bbcxSGnz+CS3/2Y7B2DP6PRKNtWl/O3a5/m2y/WADBiUjFX3H8BRWML8GS3JOErt9bwyl/f44Pnv2x7vzN+OZdDTp1O7jBZpmqo2uvk42mnndZpe2Nj496+RTuapnHVVVfx+uuv88knnzB8+PA9Os6yZcvIy+vdh6/rlmzijxc90vZ3Na7y+etfs3X1du589TryR3Z+E1uxpYY/X/EE3y1Y37atsaaJR298nst+fxYnXnAgr//zc7ZtrObm/ztPLhp7QDzeSFXjrfiCb7dtU9VGarx3omp+0tN+MWBGP4vk1i/fwh8u+Fvb39W4yhdvfMPW78u4640beOn+d3n/mc/b2gPNIV564F2aGvxceddpPPibV3jsd28Sj6kcf/YMLHZZW1X0L5qm4gu+R1XDdTu3EaHJ/wKR6HoKMp8c1IMpwuEw37y3jL9d8++2bdFIjA+e/ZyyDRXc+M+fc+PxfyLoC7W1b1i+lZtPvo+/fnQr15/7d5oa/Jx79RwysmU0qxB7qrasjpuPuxc1vvPh8srPVnPj3N9z56vX89Jf3mnbHmgO8fID8/DW+pg2Z3Jb4hGgdH0Vv73oCR545UpJPopeoaphGpqfpL75wbZtmhakoflRYrFycjx/QK+Xn71WmrojoSRZPZGEotBV3nGHoVl2tTfUbW/khqPuJhyMtG1b+81Gbj7uDzzw8e2UriunobYZgGgkzvzXllC2uZYb/3K2PEsSQvSqaHwbpVUno2retm3h6HeUVp9KSe4HmI1jUhjdwFO1rYGbzv07vqZg27bNayr4zYWP8+CrV+HJcNBU7+P/rnmahfOWt+3TVO/j7ze9QDgQ4bSrjsFoNLDqyzXcffZf2/ZR4yqfvPwVm1eVcu+7N5OR56Fqcy03zPkdvsZA236bVpVy83H38tfP78KT7aRyaw2P3PAcX7+/st37PXn7K0SCUU66/Cic6fbe/WJEv7TXaz7uWvc60X/Dhg3jggsu6IlYgZZSq88++yzPP/88aWlpVFZWUllZSTC4s8PdfPPN7d7zwQcf5I033mD9+vV899133Hzzzbz66qtceeWVPRbXD5VvrOSp215K2Fa6ZjvbN1R0eQxvbXO7xOOuXvjz2xx+7BQA1n9bRm2VN+F+YvfE1Np2icdd1Tf/jbha3ccRiZ5WvqGSp259OWHbtnUVbN9Qydfvr0jY/v4znzNq3M5BCy8++iG11bLYuOh/YvFKar33JmwLRRYTi23v44j6VvXWOp79/esJ21Yv3EBVaU27ZEiraDjG6498wPm/PIb3//MN/l0u5oUQu6d2ex3P3ft6wr7WVOdj8Qcr2Wf/ER3aPnj+S4oSlPBR4yrP/d8H1FQ29ka4YoiLqVU0+P6esK05+F9iam0fR9S/tc183I0ZkKmYLTlAJmgOal2t+agxNGc+9rTmBj9vPT6/XeKxVTgQ5p1/fsjplxzWoW3Nsq1tCUkhhOgNmqbSHHizXeJxpyh1TX9FVQMJ2kQi4XCYT99Z0S7x2CoWjfPSox9RX+WlodrbLvG4qxf/8g71FY3UVzby2I2Jq0JuXb2dsnUVhMNhPvnPV+0Sj+3e7743qatsxN8UbJd43NWrD7+Pt1aenQ5Vez3z8amnnuqJOLrt0UcfBeCwww7rEMdFF10EQEVFBaWlpW1tkUiE66+/nu3bt2O1WpkwYQLvvPMOxx13XK/FGQnHKN9YlbT92y/XMf2YqZ0eY/O325K2NTf4iUVjbX9fv6qMSdM7PsARuycaS/6da1qQuOrFiCwuPZBFozHK1idP/n+3YC35I3JoSJBUVOMqfu/OE67PGyTgC3fYT4hUUzU/8U4elIai32MxT+nDiPpWOBDGW5P84nbjylIy8tyUb+o4oGT11xs49EczUeMqTQ3+3gxTiEEt5A+z5usNSdvXfrOR4n3yWbN4U7vtalzF1+hL/JoVpYSD0R6NUwgAVfWiaaGk7bF4OWbjyD6MqH/bk6ReLBrHaOrbVV+6SnyJ3tdl8nGIll3tab5Gf1spvETWfr2RSDDxfevG77Yzft+SXopMCDHUqVoAf+iTpO3B8NfEVR86na3vghrAfN4QqxZtTNq+ZnkpgUCEis01SfcJ+kL4m4JYbKbOcxcL1lI4JpdVnZxfVn+9gVBzkLL1lV28nySYh6oBt+Zjd0ZM/utf/2r39xtvvJEbb7yxlyJKzGDQY7GbCfkTX+BlJ1gE9ofSc5OX9tHpFEwWY9vfMzvZV3SfXufptF1RrH0UiegteoMeq8PSrtzirrIKM/A1Jh6tA2C27iy7q9MpmHfph0L0F4piouUUH0vYPhDWrtobRrMJvUFPPJa4lFdGrjvprEZPtpNAoOXcbbFJmW0h9pTOoCc9x01jkgoB6bmuhCNoof25dlfuDAc6vZR5FD2vq2t8vU7utXa1J2VXY5FY3ycf28KU3xspo3b1/EaSjz3BZDHgyXHBqsTt7mxX0v6XkSO/34QQvUdRTBj1BSSrKWTQZ6Eo8lytu6w2M+mdLA3jyXSgN+hw7lj3MRmz1YTB2HXuwmq3kJ7rTv5+2S50Bj3urM6Xq0l2fycGv70uuyoSc2U5mXPBoQnbjCYDkw7Zp8tjFIzMweFJXA95xrFT2bKhZcaG1W5mxD69u37lUGHQ52DQ5ydss5pnodfJWggDnSfLyTEXHZawzWDUM+ngcUlfWzK+gHBkZzJn+uHjsKfJeo+i/zHoMkmznZSwTaekDfo1FewuKwedtF/CNpvTyvBJxXiTlJg65edzeOWJzygZmyf9W4i9kD8ih1Oumpu0/ZDTZ7J4fsenpMP2ySeWoFQrwKkXH0J+8eBdr1akjkGXgdU0PXGbvgC9rmMp4KFsT8quxpP0676QipKvooWUXe0bGXnpnH5N8spex196JGWldR222xwWikfJ7zchRO/RKSY8aRcnbU9PuxqDvvOJIGInm8PCCecdmLT91IsPIa8og6yCdNKTDC6Zdvh4XJlpeHJcHH/pkQn3MZoMTDxoH2xOGydeflTS9zvt6mPJG55NRp47aZJy6qHjsDnl2cpQJcnHXpLmsXPa1ccycfbYdttNFiO3vXQNrvTORyAAZBS6ufPFq7G72o/EHT6hkItuO53H730Lq93M7X+/CE+GLNraE4yGPAozn0GvS//B9uHkpt+PQe9OTWCix9jddk698hgmH9x+AIDJYuTWF68hzWPn10/+jMz89hc/mQUebnj8Uh67t2VN0JIxuVx684lkdjICSIhU0ensZLluxmyc3H674qAw63kM+sE9YCUzP52L7j6LkVOGtdtuS7Ny12vX40y3c97NJ3eYCXHyz47CkmalsdbHTQ+cTV6xDDgRYm9MPngcR59/SLttOp3CFX85n7wR2R1G5Gbme/j1kz+joT6ATte+fx55yr5MmSllL0Xv0Os95Gb8H0ZDSfvtugwKM5/BaMhNTWD9VGsyb3dyerFo4moEvUmSjqnXZelbre9/LgarwtF5nHXDie22KYrCGb86nuETi3jh4Y/atdkcZu54/Ce4stL6MkwhxBBkNAwn230XP0xDuB0XYzUnHvwlkkvPdnLxjcd3uF+ae9YM9plaDLTcV939yq9I+8GkpsLRufzyrxfhcNkwmoycfvVxTDm0/SQMk8XIXW/cQGZBy3PRzDwPl9xzdsf3+8lhjJsxCoDs4nTueOEqnD/IdxSOzuXKv5xPTpEMIB2qFE2uyLulqakJl8uF1+vF6ex8KvGuyjdV01jVyOqvN+DJcTF62nDSPDbc2e5uvb65OYi30svm78uo3lbHqCnDyMz38O3SrW0zHj0ZduwuST72FE3TiMXLicTWE4luwWzcB6OhRB46DCDd6a8Vm6poqG5i9aL1bX3TmW7HldUyMmj7hiq2b6qidG05w/bJJ39EDvX1ftat2MaoiQVk5bnJHyYnT9G/xeLVRGNlhCIrMRoKMBvHYdDnoSj6VIfWZk/Pr91RvqmK2rJ61i3dRHZxJsMnFuHJT8fhsFC1rYagL8x3C9YTj6tMPHAMsZhKY2OAgpIsCkqkfwvxQ3vSXys2VxNoCrLyi9WYrWYmzhqD1WEmqyiT7RurKN9UxdY15RSPzadgRA4Fo3KoLm8kFAjz3ZIthIMRJk0fgd1pIbcbyxYIsTeisUqisS2Eo2swGYdjMozCaChIdVh7pDfPr+8+8RF/vfKfnHPzqVx4+xmd7jvX81MAnlv9ZzL6eNDe/75ey28ef4dTDp7ILRfO6dP3Hup+8vXFhFQDt4/7Kfu4Dki6X43/Pb6vuRqTPotZRV/2YYT9S0/116rSWoLNQVZ9uRZN05h44FisaRbySrKpKK2lpsLL+lVlZBe4GT42D3e2E4dDZqMIsTt68/w6mKmqj1i8hmBkMZoWxWqejkGXjV4vpZ/3RHVFI0FfiO8WbyYaiTPpgBHYHOZ290uaplFTVs/WNeVUbq1hxIRCcodnd7gea6z2Ul1Wz7rFG3Fnuxg1dRgZ+entynVXb6tteb8v1xIJx5h08D7YnTZyS7La9olGo1RtraN0dTnlW6oZOamY7OIMCkYM7mV/ROcG3JqPA03+iGzyR2QzftaelbhLS7OSlmalcHT7xFfBSOm4vUVRFIyGAoyGAuxyHT5o5Y3IIW9EDuNnjk7YXjCq5QHoAXN2zhwrGAmTpo/oqxCF2GsGfTYGfTZW876pDiUl8kfkkD8ih8mHdCynnFPUcpFcMq6wr8MSYkjJG95Szu2HM5Gh5Xq2YGQO049uP0s7O98NQPEoud4VfctoyMVoyMVmmZnqUPo1VdtRKnN3yq6mYuZjV7PuRK/rqqyqRuvPhazL2RNydpQmL5lQ1KEtrziTvOJMJs+QKgJCiL6n0zkw6RyYjMNTHcqgkJ3nBmDY6OQTZRRFIbsog+wuBnC6s124s12M2Tf5v032jpmLwzp5fmI0GikclUvhKJm8I3aSsqtCCCGEEEIIIYToFk1tLbvaxXp+u7THYqkou9rnbyl+qMufEVnzUQghhBBisJLkYy+JRqN465qJxWKd7hcOR/HWd72fEKJ3eGubCQfDAMRiMbz1zYTD0RRHJYT4IZ83QKA50OV+u/ZpIURq+Br9BP1Bmhv8hEJyThVisGlNKqpq54ml+C4Jx1TMfITdX5tS9BCt9X9dJB+R5yB7o/X+NRQK0VTvS3U4QgghBrDuPEuJRWNEI7t/7g42B/E1+vc0NDGASdnVHlZdVktznY95//yQio1VjNl/JIf/+CDSizLb1dKvKavFW9vMvH9+TOWWasbNGM0hZ8wka1g6Vqs1hZ9AiKGhbF0F37y/jMXvr+CAY6cy7cjJfP7aIr7/ah05w7I49pIjcGc6yZL1pYRIqfKNlaz9ZiMfv7QAo8nA3J8cTsGYPPJ/sG5A2bpyvnl/OYvfX4E7y8lxlx5FRp6H3B0lH4UQva98YyUblm3hw+c/R2/QM+eCQ8kqykBDw53hIrMwPdUhCiF6QHdnPsZ2STjGUlF2tZsJMNF7uiq7StvMRym7ujuam4M0bK/n05e/Ys03G8gbns0xFx3GtrXbcWc5KRiVl+oQhRBCDBBtz1LeW44728Xxlx5F+g+epTRUe9n6fRnvPD6fSDjGnAsPZZ/9R5KR7+n02OWbqihbV877T31CNBLj8LMOZOz0keSPlNKsQ4UkH3uQt8bL91+u495z/4qqtlxEfz1vGa/c/zZ//OBWxs9sWfexsaqRFZ9+z30/ebTthu2b95a37Pf+LYydLjX4hehNpWu2c+NRd1FXXs/Y6aMYO300Vx90C4GmYNs+7zw+n+v/+TP2mzOV9BxZAFuIVKjYVMXdP36Qjcu3tG37/LVFHHzaAfz03nPJ25GALF1d1tKnKxra9vvfvz/h/NvP5OgLDyGvRNaNE6K3lW+q4g8XPMyarze0bfvi9a+Zcdw0zr7pFFZ89x37HjUFT7YzhVEKITqz/ONvqa9s5IizZ3e6X+uMR03tPLG062zH1JRdbYlTkcRW31MAjS7TvjvXfJTyq7tj++rt3HTM7wj6Qm3b3n7sA2781y9Y/vG3HPqjAykcLQlIIYQQnUv2LOXCu87i6HMPIWd4Ng3VXh751b/57NVFbfssfGcpY/Ybzu3/uZbM/MQDTMs3VfH4Dc+w4M3FO1/39hJG7zucW164pu15jhjcpOxqD2qq9/OXnz7alnhsFfKH+Mslj1K+sRKA5sYAD/7sHx1GigaagzxwxeNUbK7qs5iFGGpqy+v51y0vUFdeD8DF95zD/135RLvEI7Q8rHjwiifwS1kAIVIiHA7z8UsL2iUeW33+2tdsW1cOQF15PU/d8kK7i+VWz9z5MsGmUIftQoiet+idpe0Sj23b311GXWUj7z4+H19DcwoiE0J01w1H3sm95/61XbnURFpnPnZVdjWW4rKrXYQn+kRXaz7Gd/xfko/dVbGpivsv+3u7xCO09McHf/YPZh6/P6/e/xZNtU0pilAIIcRAUFtez5O/Tfws5d+3vYTf1/KcdPOq0naJx1brlmzmi9e/SVoJY+v3Ze0Sj63WL93M568tkiXohghJPvagys1VhPyJH3KWri7D721Zq6p07XYiSda/2bRiK35vMGGbEGLvBZtD7U5+dpeNDcu2JNw3Go6y9fuyPopMCLGr2tJ6/vf0p0nb5/3zI5ob/fibggkvaFstemdJb4QnhNhF+cZK3nvq46Tt8/75Ecf85DDK1lX0XVBCiN3S3LBzvbiKzdWd7ts62LbLsquRVJddlexjqnX1b9A681HWfuw+vzfAlu8S36OGAmGqS2tY+uEqmhpkDUghhBDJBZqCfPVW8mcpX7+zlGg0ypuPfpB0n7cfn09jtbfDdm99M/P++VHS173/r0+o2lyzewGLAUmSjz0oGu78gjkea7lJiyZJPLZS4zLqT4jeomlau9HcXY3sDgcjvR2SECIBTWsZAJBMJBRFi6tomtbpeTMckD4sRG9TVa3L/mowGpIOvhNCpN729TsHB1TsqNiTTNtail3NfIx2/5q7N7SVXZWqq32vm+tttq4J2ToDUnQt3sXzokgoik6vQ9bRFEII0RlN7eJZSjCCoiiEQ8mfqUTCURKNM1KjatfPc2SQ2JAgycceVDAmb8dFXkfpuW4cbhsAwycWoyS5A8oqysDmtPZajEIMdWaLiYmz92m3LWdYVsJ9FUVh1NSSPohKCPFDaekOZp6wX9L2w86chTMjDbPVxIQDxybd74DjpvVGeEKIXaTnujjwpP2Tth9yxky+emsxJROL+jAqIcTuqC6tbftzZVczH3c8qOpq0GwsGtvlz6kouyoPtVKtq38CTWv5GdFkzcdus7tsZOR7ErbpdApFY/MpGpuPxW7u48iEEEIMJGarkfGzxiRtP+DYaRgMBo4+7+Ck+xx6xkzSMhwdtntyXBxyxsykr5t10v54sl27F7AYkCT52INsaVbOuuHkhG1XPHARmcUtC7Ba7BZOvfq4DvsoisLPH7hIFgYXohfllGRx2X0XYDQbAXj1/re44i8XJBwQcMqVc7E65KZNiFRwZaZxyi/m4spM69BWMqGQCbNaEo65Jdlc/pcLMZoMHfabdeL+eHLcvR2qEEOeLc3G3IsPJz2v48PQwjF5TDhoLFlFmVgdMsBOiP6qurQWk8WIJ9dNTVldp/t2N/kYjexMPnY2+r23tI6olyRk6nSVVNS01p8LmfnYXbnDs7ji/gsT3r+ece0JrF28gYvu+jGZ+ekpiE4IIcRAkTs8h58le5Zy0v64dyQHJx88jmHjCjrs4852cvxPj8Bo7Ph6gMmHjqc44etcnPSzOdjd9r38BGIgSPzTIfZIVmEGx112FKP2Hc5Lf/ov1VtrGD5lGOfdcgZ5I7KxWCwA5AzL5JQrj2GfA0byn7+8Rc22OkZOLeG8W08nqygjxZ9CiMEvb1QuDy28h+fveY2Vn37PvkdN5v5P7uC537/KhmVbyCxM50fXnci4GaPJLk48K1II0fuKxuZz/yd38vpD77LgzSWYzAaOPO8Qjj7/EPJH5LTtlzc8i4cW3svzv3+VlZ+vxpmRxslXzuWAudPIHZ6dwk8gxNBRODqfP8+/jf8+8j5fvL4IvUHPEWfP5qhzZ1O5pZqTfn4M2XKdK0S/VVtWhzvbhd1l63bysavyj+2Sj5G+X9NPbSsP2+dvLdp0VXa15edC1aQsd3cZDAbGzRjNXz66nWd//yqbVmwle1gmP7r2RHJKsrDYzGQUZ6Y6TCGEEANA3ojsds9SXJlpnHzlsex/zBTyhrc8c8ksSOf3b/2a+c99zrynPiYajnLoGbM45RdzyC1J/rylYGQud71+Ix888ykfPvc5kXCMg06ezqlXzaVwjEy8Giok+djDckuyyS3JZvS+I4hFY5itZrITXPi17jd2/5HEonHMVqMkOYToI+6MNNwZafz8gZ8QaA6i0ykUjM7jmr9fRjgQQW/Qkz8yp+sDCSF6XdHYfC688yxOu/o4UBQyCjOwWk3t9nFnu3Fnu/n5Xy9u16eFEH2rcEwe59/2I07+xTEAWGwmouEYBxy7b4ojE0J0pbqsDleWE7vT1q4EayLdnvkYjiX8c19pXZMyLtnHPteaclS7SD7uTDqqaFocRdH3alyDRVZhBlmFGVz7+OVEwzF0OgW9UY/BZCBdqn4IIYTopu4+S8kqTOfM609kzgWHoGngynC0VZTrTP7IHM686RSOPHc2mgbOjDRcGR2rW4nBS5KPvSRvRPcSF93dTwjR8zLyPWSws0RcdpGMEBWiP3J18wL1h31aCNH3nOl2nOlSQkeIgaZqaw3uLCd2t501i9Z3uu/O5GPniaVdS61GUlB2tbXcqqp2kQBTNT5esJam5iDHHDYB2w8GOYnd11oQVOsi8avtMuNR1aLoJfm4W+T+VQghRE/ozrMUvV5HRoJlNrpitZooHJ2/p6GJAU6Sj0IIIYQQQgghxBBWuamaEROLsTqt1GyrIx6LozckTgTFuznzMRLamVgKByM9F2w3xdUdcXay5mMsrnLHn9/k069aEq4vvbmYR+49h3RZh6hHxLXOZ7yq7PwZ0bQIYNnr94zF6whGvkGvS8dq2k9mUwohhBBCpIgu1QEIIYQQQgghhBAiNXyNfprqmknP95BVmEE8Fqdic3XS/WPRWLv/JxP0hwHQ6XWEdvy5L8W7sTblY898xueLNvDTsw/ilmuOo9kX4jf3vk40Gu+rMAeltrKrXcx8VNXQzj+zdwlqTYtT532QTeX7U157MduqT2FL1dGEIiv26rhCCCGEEGLPSPJRCCGEEEIIIYQYojau2AK0LAmSW5INwOaVW5PuH9+RmItGukg++loSS850e9uf+1Jsx8zHWJLk43sff8uLb3zDycdMYfL4QrIz0vjp2bNZs6GKvzz2AVonMyZFV1oKr6pdzHyMa4Gdf1b9e/xusXgl22rOpLbpzzisx5KX/ihZrjvRtChbq06kofmJLkvACiGEEEKIniVlV7up9cajqakpxZEIMfilpaWhKErXOyYh/VWIviP9VYiBQ/qrEANHX/bXhe8sxuqwYM+wodfr8OS6WPjuYqYcPT7h/s1NLUmiQHOg0+NXldVgS7Ngc1qpqajv0d8dmqZ1+f00+1oSW8FQuN17B4IR3p7/HU+/8g37Tylm+pRC/IGWfbMyrJx27GT+8/ZympsDXPzjmWRlOHos7qGiNW0bCHX+MxKK1KPDRVzz4m2uIGro/lpSmqYR17YTiryNL/wPUEykWW7EqBtHOAxQgsP0GwK8RHXjbTQ0v4HD/FPMhlkoinWvPt8PyflViIFD+qsQA8fe9leReoomw/m6paysjKKiolSHIcSQ4PV6cTqde/x66a9C9B3pr0IMHNJfhRg4+qq/mrBwiHICABoaCoP3Ac+B51WxIDyHUNjcti0zoxGd0vGRSHVt95NgYvBas/g5ard3XbZVzq9CDBzSX4UYOPa2v4rUk+RjN6mqSnl5+R5n3JuamigqKmLbtm1DutPI97CTfBctEn0PezuypbP+Kt/77pPvbM8Mle+tN/trXxgM/07yGfqHgfAZeru/DoTvYKCQ77JnDOTvsaf6q6ZpFBcXD8jvIJmB/O+ayGD7PDD4PlNXn0f6a/8w2H7u+tJQ+u4G+v0rDOx/L4m97w3UuEFmPg4GUna1m3Q6HYWFhXt9HKfTOeA6em+Q72En+S5a9OT30J3+Kt/77pPvbM/I99a5njq/7q3B8O8kn6F/GAyfIZnu9tfB/B30Nfkue8ZQ/B5b+2trWbjB+B0Mts802D4PDL7P1FufZyj0174k39+ek++ua/3l/hUG9r+XxN73BmrcYmDTpToAIYQQQgghhBBCCCGEEEIIIcTgIMlHIYQQQgghhBBCCCGEEEIIIUSPkORjHzGbzdx+++2Yzeaudx7E5HvYSb6LFn39Pcj3vvvkO9sz8r0NDIPh30k+Q/8wGD7D3pLvoOfId9kz5HscnN/BYPtMg+3zwOD7TH31eQbb99bX5Pvbc/LdDSwD+d9LYu97AzVuMTgomqZpqQ5CCCGEEEIIIYQQQgghhBBCCDHwycxHIYQQQgghhBBCCCGEEEIIIUSPkOSjEEIIIYQQQgghhBBCCCGEEKJHSPJRCCGEEEIIIYQQQgghhBBCCNEjJPkohBBCCCGEEEIIIYQQQgghhOgRknwUQgghhBBCCCGEEEIIIYQQQvQIST52k6ZpNDU1oWlaqkMRQnRB+qsQA4f0VyEGDumvQgwc0l+FGDikvwoxcEh/FUKI7pPkYzc1Nzfjcrlobm5OdShCiC5IfxVi4JD+KsTAIf1ViIFD+qsQA4f0VyEGDumvQgjRfZJ8FEIIIYQQQgghhBBCCCGEEEL0CEk+CiGEEEIIIYQQQgghhBBCCCF6hCQfhRBCCCGEEEIIIYQQQgghhBA9QpKPQgghhBBCCCGEEEIIIYQQQogeIclHIYQQQgghhBBCCCGEEEIIIUSPMKQ6ACHEwKfFSiG2CS38PmBFsZ6EpmSgMxalOrQBobLay7Jvt7Fs1TaGFaVz6MwxZGemYTLJr2jRd9RYBYrWiBZ6B+LVKOaDwDgFxVCS6tCEGLK06GaILkKLLAH9MBTLMah40BszUx2aEGIX8UgtOqUBLfwBxDajGKeC6UBUrQC9yZTq8IQQP6DFtkJ0NVr4Y9C5USwnoiludMbCVIcmhBjgtNg2UKvRgm8BERTLcaAvRjEUpzo00Q81NgWorG7i/U++IxKJcfQh4ykqTCfDbU91aEL0CHmyLYTYK1psG6r3OpToip3bgs+C9UJU2wWSgOzC1m11XPnbF2hsCrZt+8dzX/CnW05j30nFGAz6FEYnhgo1WoES/Ryt6VZAA0ALvQH6QvD8E8UwPKXxCTEUadG1aA0Xglq/c5v/EXTu/yOm7o/B7E5dcEKINrGIF732PVr9FUAUAC30X1Dc6NKfAiakND4hRHtabCtq4xUosQ07twWeAsd1qBwvCUghxB7TYqVovkcg9NrObcFXwDQLnL9DMcjzMbFTozfAE89/wX/f3/k89c3/rWT6lBJ++8tjyUh3pDA6IXqGlF0VQuyxWDSMFnqrXeKxTfDfKFpV3wc1gHibAvz+/95tl3gEiMdVbvnjf6mt96UoMjHUKPjRmm6jNfHYJl6G1nw/arw6JXEJMVRpsW2oTbe0Szy2iKF5r0eva0hJXEKIjvRKPVrjr2hNPLbRGtG8v0GLlqYkLiFER/FoA5r/qXaJxza+v6DQ1PdBCSEGj/iWdonHNpGvIPxZn4cj+rct2+raJR5bfbNiC18t2ZSCiIToeZJ8FELsMT3lEHg5absWeIV4LJq0fajzNodYvb4yYVswFGV7ZWPfBiSGrshCQE3cFp6PojX3aThCDHlaIPHAnh1txLf0aThCiE6oFZDsPBlbDfj7NBwhRHI6xQuhN5K2a6H3+i4YIcSgosYb0AIvJG3Xgi+1LFkkBBCJxnjlnSVJ2//z9hIavYE+jEiI3iHJRyHE3tE6eaCiNaMQ67tYBphYLN5peyAY6aNIxFCnaZ2N8o6D1vnPqhCih2ldDNyRAQFC9B+dXQsDaHI9J0T/obUM4klGHbozHz/772Iaa4bu5xdi70W6eD7mAy3JgF8x5MTjKj5/8mvEQDBCPC4/L2Lgk+SjEGKPaTjQTAclbVcsR6MzWPswooHFYbeQnmQRaUWBkqKMPo5IDFWKaWbyRsMYUKQfC9GnFDvospK3G/bpu1iEEJ3TDyfpbbXiAcXZp+EIIZLTNDOa6YCk7Yr5iD6Mpn+555LHueenj6c6DCEGLJ0+B8V8ZPIdTAej6Vx9F5Do16wWE0cenPye7sD9R+JMs/RhREL0Dkk+CiH2mM6Yhc7xc1BsHRv1w8E4re+DGkAy0x1cfcnhCdtOPmYKHleC71WI3qDLgoQDCXQoaTejGIr6PCQhhrI4eSiOGxM3Wk5DI/HAFSFE39OwgfXshG1K2rWo5PZxREKIZHTGfHSOGwBjhzbNMAkMJX0eU3/S3Cgl/oTYK+ZDQV/QcbviRLFfgE7v6fuYRL91wNQS8rI7JqQddjNnnrgfRqMhBVEJ0bMk+SiE2CtxLRsl/UU081GAEZQ0sJ6H4nkcxTAs1eH1azqdwox9h/PAnWcyZmQOOp1CXraLG39+DBf/+CAcdhnlJPqGYihCcd4F9qt3zLbSg3F/lPRn0XQjUx2eEEOOwWhBM+6H4v4HGCYAOtAXoKTdgmK/Ep0xwUMNIURK6Iz5KPZLUJx3gr4I0INhHIr772jGA9EbpXqAEP2JSkHL/atpNmBomaFsvwyd+0EUQ3GqwxNCDGCKoQTF8xRYz2ypZIIJzMeipL+ApuWlOjzRz+RkOfm/353FacdNw2oxYjLqOergcTx+33nk5bhTHZ4QPULRNE1LdRADQVNTEy6XC6/Xi9MppXOE+CE1WomihEADFTd6oztlsQzE/troDRCJxtDrdWR4HKkORwxRajyCopaDAhpGdIbeT3AMxP4qRF/SYtva1l1VjCUpjUX6qxCd06JbdvxJh2JMbRJD+qsQnVOj5SiEAQWVLPTG1FUV6A/9dW7mZQyfUMijn96WkvcXYqDoTn9V1UYUtRFoqZCgM2T3YYRioIlEY3i9QTQ0nA4rFkvH2flCDFQyf1cI0SN0xp0lpfQpjGOgckuJVdEP6PQm0JcAoKQ2FCHEDlL2WIiBI9UDBIQQ3acz5rf9We5fhRA9Sadzg84NyH216JrJaCArMy3VYQjRK6TsqhBCCCGEEEIIIYQQQgghhBCiR6Q0+fjZZ59x4oknkp+fj6IovPHGG21t0WiUm266iUmTJmG328nPz+eCCy6gvLy83THC4TBXXXUVmZmZ2O12TjrpJMrKytrt09DQwPnnn4/L5cLlcnH++efT2NjYB59QCCGEEEIIIYQQQgghhBBCiKEjpclHv9/PlClTePjhhzu0BQIBli5dyq233srSpUt57bXXWLduHSeddFK7/a655hpef/11XnzxRb744gt8Ph8nnHAC8Xi8bZ9zzjmH5cuX89577/Hee++xfPlyzj///F7/fEIIIYQQQgghhBBCCCGEEEIMJSld8/HYY4/l2GOPTdjmcrn44IMP2m176KGHOOCAAygtLaW4uBiv18s///lPnnnmGY466igAnn32WYqKipg/fz7HHHMMq1ev5r333mPhwoXMmDEDgH/84x/MmjWLtWvXMnbs2N79kEL0c9FoM1BNPL4NVa3DaNgHRXFiMMoaU0L0d7FYOZrmIxZdA4oJg2EUOiUNvSEn1aEJMehFoxWAn1hsHWhxDMaxKIodg6Eg1aEJIToRi21H0/zEomtB0WMwjAHsGI15qQ5NCLEXotEgUN52X2swjEFRXBiNxakOTQghekw0ugk1XklcrcBgGIGipGM0Dkt1WEIIkVBKk4+7y+v1oigKbrcbgCVLlhCNRpkzZ07bPvn5+UycOJEFCxZwzDHH8NVXX+FyudoSjwAzZ87E5XKxYMGCpMnHcDhMOBxu+3tTU1PvfCghUigW86Kq31Nfdwma1ti23WKZi9N1BwbDwLhRk/4qhqJYrJSA/1l8vkcAdcdWMy73HzAzu98mQKS/isEgFi0lEv4Ir/cOILJjq560tGux2s7AYBgcA3ikv4rBJhbbRiDwCr7m+4HWSjkmXK47UJSjMBgKUxneXpH+KoayaLQZVf2ehvpLUNX6tu1m81G43L/rd/e10l+FGDj6U3+NRr6jvv4i4vHtbduMxn3xpD+MwVCSsriEECKZlJZd3R2hUIhf//rXnHPOOTidTgAqKysxmUx4PJ52++bk5FBZWdm2T3Z2dofjZWdnt+2TyL333tu2RqTL5aKoaHA8RBJiV5pWQ33dee0SjwCh0HsE/M8RjzenJrDdJP1VDEXR6Hf4fA+zM/EIEMbbeC2qWpeqsLok/VUMBqpajdf7G3YmHgHiNDffRyy2IVVh9Tjpr2KwicU24Gu+j52JR4AIXu9vUOPJ7w0HAumvYmiror7u/HaJR4BweD5+35PE4/0ruSf9VYiBo7/011h0U4fEI0A0upQm753EYuUpiUsIITozIJKP0WiUH//4x6iqyiOPPNLl/pqmoShK2993/XOyfX7o5ptvxuv1tv23bdu2PQteiH4sEvkGTQsmbPP7/42mVvdxRHtG+qsYamLRUnzNf0vSquH3P0087u/TmLpL+qsY6OKxenz+fyZt9/keJRbdTjxeiaZF+zCynif9VQwmsVg5vubk95I+/5OoamPfBdTDpL+KoSwaWYmm+RK2BQLPo/az+1rpr0IMHP2lv8bVqg6Jx1ah0Ado2sCYPCCEGFr6fdnVaDTKmWeeyebNm/noo4/aZj0C5ObmEolEaGhoaDf7sbq6mgMPPLBtn6qqqg7HrampIScn+ZpYZrMZs9ncg59EiP4nHtuStE3TmtCI9V0we0H6qxh6osTjyUc2qvEyIADY+yyi7pL+KgY6jUDSG3+AeLwcjRC11aditZ2J3X7RgC3lKP1VDCaaFur03BmPl6GqPnQ6d98F1YOkv4qhLBbfnLStJSnZv+5rpb8KMXD0l/4aj3d8tr2Tiqb1z8HHQoihrV/PfGxNPK5fv5758+eTkZHRrn2//fbDaDTywQcftG2rqKjg22+/bUs+zpo1C6/Xy9dff922z6JFi/B6vW37CDFUGU3Tkrbp9QWAse+CEUJ0m6LYMBonJm03GqcCrj6LR4ihRFHcO/pYYkbDBMCBqtbi9z1CXe0ZxGLJk5VCiL6hKGkYjZOSthuNU1EUd98FJIToMaZOzss6XR6K3NcKIQa4ztZ0VBQripLWd8EIIUQ3pTT56PP5WL58OcuXLwdg8+bNLF++nNLSUmKxGGeccQaLFy/mueeeIx6PU1lZSWVlJZFIy/o6LpeLSy65hOuuu44PP/yQZcuWcd555zFp0iSOOuooAMaNG8fcuXO59NJLWbhwIQsXLuTSSy/lhBNOYOzYsan66EL0CwbDWPT6xLMxHGnXodfJ2hNC9Ec6fTppzmtIdBpXFBtW2xno9aY+j0uIoUCvd2C3nwtYErQacKRdSX39ztKO8Xgp4fDHfRafECIxvd6DI+3ngD5BqwW7/Vz0ekdfhyWE6AF6wwj0+pKEbWlpvwSloG8DEkKIHqYoHkym6QnbbLYLURRPwjYhhEillCYfFy9ezLRp05g2rWX21bXXXsu0adO47bbbKCsr480336SsrIypU6eSl5fX9t+CBQvajvHAAw9wyimncOaZZ3LQQQdhs9l466230Ot33lQ+99xzTJo0iTlz5jBnzhwmT57MM8880+efV4j+JhYzkZ7xHCbTrLZtis6D03UXJtNMVE0WrBaiP1LVRjQtB0/6kztmKbcwGMaRnvES8bgHVU28nqsQYu8pSjYZmS9gMIxq26bXDyM9498oSibx2D/a7R8MvIqqyjosQqSSqjagKNmkZzyNXl/ctt1gGEVG5vOoaob0UyEGqGjUQHrG05jMs9u2KYqLNOdtmMyHAZUpi00IIXpCLBbE7f4rFsvxtD7OVxQrdvsV2OwXoWk1qQ1QCCESSOmaj4cddhiapiVt76ytlcVi4aGHHuKhhx5Kuk96ejrPPvvsHsUoxGAWj79HNOrA5X4Q8KFpIRQlDU3LpKZ6Mtk5LYn+WKwe0GEwuFMYrRBiJx3exrPxpL9JesZLOxaX16MoDlQ1QsD/a8zmvwEQi8XQqEen2NHr+98akEIMRAaDB4NhBukZz6CqTYCGojgAJ6oaIiv7WwBisQoa6o9GUewMgKXWhRjk9DQ2nIfb8xzpGc/vOHfqdpw7FXzNV+NJf4J4PIKKFx129HpbqoMWQnSDpn5KIBDG5bof8KNpYRTFgaZ5qKme1HZfK4QQA5VOqaG6+hWysu8kzXk9mhbYUWq15fdcVvanqQ6xW2IxLxDHYEhPdShCiD4gT0GEGMLM5sOoqT4YX4JB3nbHK6haFK/vPzQH30BRzLjsZ2MyjsFkGNb3wQoh2uh0mdjsF1FTPT5he0bmK8RiChobaQq8STC8CIM+F7fjQvS6TExGKaksRE8w7HI+9PtXYTQphGPLaQq8Chhw2X9MRvYCtHg9Op01dYEKIdDr07HZL6GmenLC9ozMlURjZXgDLxGOfIfRUILbcT56JQOjMbePoxVC7A6z+UAMmoFovJxG/9PE47XYLAfjsB5LZtYqdDpZ81EIMbDpDSUoytvUVP+nQ5vBOBGdrn8n8yLRLURi6/D6XkAjSprtFKym/TEZS1IdmhCiF0nyUYghTK/Pwem6mybvrT/YXoDVls/2uouJRNe0bfcF38NhOZYsz22SgBQihRRFwWI5imDgNaLRpe3aLNZT0eunElPXsq36R6iat62tKfAy2e7fgTIXkyG/r8MWYlAzmpxU1P+MUGRF2zZ/6H/YzIeS47k3hZEJIVpZLIcSNM0mEvmi3fbMrNXE1O8pqzkXTQu1bAx/htf/LHkZj6IoB8kIfSH6MQ0jzcFXqGu6r21bIPwZDc1/pyj7FXS6sSmMTggh9p5Ol47b/VcaGq4A4m3bFcWJ2/1n9PqM1AXXhUh0K9WNt+EPzW/b5g99hNk4ifyMxyQBKcQgJslHIYYwnc6BzfYjzOZZBPwvEI9XYLEeh8k0h0b/39slHlv5QvNwRc+V5KMQKaRpKqHgB9js56BwHqHwxyiYsFiOJhbfSlytpbrht+0Sj62qG2+nxHJwCqIWYnDzhf7XLvHYKhD+lFB0ldxUC9EP6PU5eNIfJhpdSyDwAgoKZstRoNRTWX/tzsRjG5Wq+usYljMPkOSjEP2VqvnaJR5bxdU6ahrvJtvzJxl41w3dWfpICJEaqlpPIPhf0jP+RTj0KfH4dozGCRhNk2luegC35z70+sxUh5lQOLq6XeJx5/ZV+ILv4FQux2CQFIUQg5Eu1QEIIVJLp3NiNI7H5b4bT/pj2GynoWpVNPlfSfoar/85YmqCWq1CiD6hqrX4/U/ibbyepqb7AAVNC9LYeBPNTfei4ScY+SbJq+OEwkuTtAkh9kQkuoUm/4tJ272+54nGq/swIiFEMnp9NhbLwVgtp6FpEbzeW4irXqLxrQn3VzUf0XhFH0cphNgd/lDytc78oY/RNH8fRiOEED0vFttEOPQO9XUXEY2tRVEshEIfUF93AeHw+6hqfapDTCgWq8frfy5pu9f/Eqq2rQ8jEkL0JRlWIEQ/ttXbSExT0SmQbXVgN5l69f0URQ+ABmhEk+6naVFQYzJ8QQxoW7wNxDUNvQJ5difmATXSTgMiAKhqBaHgmz9oj3d4xa7UDjM7hBi6mkMhasMBVA2Mio5il3sPjqK2nBuT0AijabE9jlGIgcYfiVAd9KFqYFAUhrk8qQ6pg1h8DaHQOzv+pna6b2f9WwixZ5pCQepCQVT25vzbQt1xXZyYBlrnfVwIIfq/1muROJHw5wnaO38GkCqaEu/8PkmL0PJ8Y+iqCfjwRSOogE1vIM/hpMEfIBCNodcpZNhtGPX6VIcpxB4ZSE9ahRgyypoaWd1Qy5+WfMa6hlpcJgvnj5vKj8dMpsjp7vX31+nScViOodH/r4TtabZTMRj630MkIbpjW1MjX1eV8eCyBZQ2N5JttfPTiftz3PB9KEpzpTq8btHp0rFYT8LvezRhu6I4MBlGE4mtT9huNR/Qm+EJMWCUNjXyzJrlvLBmOc3RCOPTs/n19EMZ7cwg3+ns9nH0uhwc1mOpb34oYbvTdoqUexNDxrbmRl5at4pnVi+jMRxitDuDG/c/hHHuLIr2IrnQ0yzmw2jmHgB0igu9LoO4WtdhPwUTRkNRX4cnxKBW2tTIU98t4aX1q/BHI0zKzOU30w9lmN1NgWv3r8ft5kOo4w8J2yymfVF0tr0NWQghUspgGEXLDICOgyl0+nx0Sv98RmfUZ5FmO5lA+LOE7Q7bceh1/Xe9yt62sbGOB5Z9yXtb1hFTVQ4pKOGm/Q+lwGLniIf+id1k4pz9J3P+9GnkOB2pDleI3SbzloToh5bVVvDT+a+xrqEWAG8kxMMrFnLLgg8obWrs9fc36j240y5Br+tYL95snIjVNK3XYxCiNzSHQszbuo5rP3uX0uZGAKqDfu755lP+tvwrypubUhtgNymKEbv9QnS6rA5tBsMEDEo+2Z7fk2iMkct+ATqdXLQKUdrUyA2fz+PxVV/THG2ZMfF9fTUXvP8fvmvYvRKper0dl/0sDPqOCUaTYRQ2s6yzKoaGbU2N3P7Vhzy0/Csawy2z7Nc31nHp/NdZUlNOLNZ/ZgDr9HlYrKe0/EXLJct9V8L9MpzXolfkvClET9nqbeDKj9/kye+X4N9x/l1VW8k5815ik69hj46p16XjsJ7cYbuCiWz3HZhkAIEQYoDT6TJxpF2boEXB7f4TekNun8fUXTbzTEzGfTps1+tycNvPQ68fGIPAe9pmbz1nz3uJtzatIaqqaMCn27dwxjvPUx0N8c7ZJ+KPRPjHgsVc8+o71PqkhLgYeCT5KEQ/s7mxnnu+/iRh2yfbN9MQDvZJHGbjSIqyX8dtvxiDvgCjYTiZrl+Tn/EPTMaSPolBiJ5WEwrw12ULEra9uG4lvlhnJZv6F4OhmMyst7A7rkCvL0CvH47TeSsZGU+jN5gw6UdTnP0WDstc9LoczMbJ5KX/jXTnz+UBjBBAVdDHwsrE64vc880nbPHu3gNQk3EERVkv40n7GQZ9IUb9MDKc11KQ+TQm4/CeCFmIfq8hHOTDbRsTtt37zSds8/WfNcP1+gxcrjtxex7G23gyFuN0irJex2Y+FL0uB6tpOgWZ/95R8aP/PtATYqDZ5vOyorayw3YNuOfrT/ZosK3JWEyW62ZyPPdjNk7AoM/FYT2J4px3MRlG7H3QQgiRYjqdA4fjJ6SnP4vRuC86XQ5m89FkZs3DZJqZ6vA6ZTIOpyDjSTKcN2A0lGDQF+BxXEpx9quYjEP3d/QHpRuoCvg6bA/Eojy+6mtcuTuvP5eWlbOt0duX4QnRI6TsqhD9TCAepdyf/MHMsupypmTl9UksZuNI0l3X4077CQoKOqUAg8HcJ+8tRG9ojITwRRMnGDWgtLmRMZ6OM377K4OhGKfz1zgclwEKOl0mitIyrshozMFIDtnp96CqPhSMmIzDUhuwEP3IoorEiUeATd56QvHdn6FlMo4gI+2XuOznoqCg1+Wh11v3JkwhBpSVtVVJ2yoDPvz9bJCPXp+FzXYaZvOhoEUxGiaRk/4XNC2AghmTUQbrCNHTvizfmrTt+/pqwntw/oWWBKTJWIzNPAuNGDrFgdGQs6dhCiFEv6PTebBYj8BomoamhdHp7Oh0aakOq1tMxhI8jl/gtJ2MhoZBl4Ve3/1lLgabar+PT7ZtStq+oKKUpli43baFm7cxrVCW8hADiyQfhehnTDo9CsmXW0639O16FUa9G/TuPn1PIXqLWdf5It1pxoGXXFcUI3p98gcrRn0uyNrkQnSQYU1+PjUoOgzKnhUI0etdQ7Z0kBAeS/Jku0LLdW5/pNfvXGvIJGvDCdGr0jv5PWHWG9Dv4fm3lQy2E0IMdnp9/1zfsSt6vQm9fujOdNyVxWDEZbYkbXeZLOgVpd22dLsMahUDjyQfhehnHAYzhxWO4OOyjiNgzHoDEzKyu3WcUKQM8NIceJ14vBKr5VCspv2GdEkDIdJMZiZkZPNdXcf13DIsNrKt9hREtVMksh0NL83BN4jFyrFaDsFq2l/6rRC9YHpOIQZFR0xTO7TNLRmN02RKQVRCDGz7eDKx6A0JZw4fUlCC3djz/SoUqUZRGvAF3iEa24TFtD82y8GgFWGSfixEv3No4Qju+eZTVK3jcNuTR47DY2r/MDYS3Uw4uhJ/6EP0ugzSbKehKC7MxuK+ClkIIQaUSHQzocgyAqGP0OtzSLOdiqK4MRsLUx3agFTZ2Myqsko+XL2RPFcaJ0zdh1xXGnbznl9nOs1mzhs3jXe3rEvYfv64qRTYds5q1SkKs0rkvCcGHkk+CtHP5KWlceuMI9jgrWNb88563gZFx8OHnYjT1PXMrHC4nHD0E6obb6J1DmVz8DUM+kIKMl/AZBzZW+EL0a8VO938+eDjOO+9l6kLBdq2Ww1GHj3yZHLtqStZEg6XE4p+TnXjdbTvtwXkZ76A2TgqZbEJMRhlWVT+dsQx/Pyj94jv8gB0hCudX08/iOwU/j4QYqByG6387YiT+NmHbxBVdyb2Cx1Obp95JAVpPVteKxypJxZfSUXdJUAUaDl36po9FGS+BEzs0fcTQuw9h8HIn2bP5YbP57Wr9jPGk8mVU2bise2cfRyJbqa87nyisZ0Dcxt9j5HpvB04DrOURhZCiHYi0Y1srz2XWLy0bVuj71Gy3PeicBQmY0EKoxt4tjd4+ckTr1LWsPP57GOffM3dpx3NsZPHYNuLgW5FDhcXj9+PJ79f0m77kUUjOSh/GBP/8DDQknj8y6nHkpWW2sHyQuwJRdMSDDcTHTQ1NeFyufB6vTidQ7cmteg7W7wNfF9fzaLKbRQ4nBxeOAK30UqWo+uTTTi6jtKqI4COsznsluPIdP0ek3Hwrn8h/VV0ZZO3nmXV5aysrWSkK50D84eRZbHjsiQve9HbWvrtkUC8Q5vdModM1x8wGXM7vnCAk/4qUiUcXU9F/Z+IGH7GZ+UNVPjDHJiXzog0L1ZtHunOmwdln9sb0l9Fd1T7/HijQT4p20yZz8sBuUWMT89muKvnS4RFohvZVn0squbr0GY2TiIn/XHMQ7QEo/RX0Z9t93rxxSN8ULqB2qCfgwtKGOnKoGSX3xORSD31vrtpDryU8BjF2R9iNo3rq5B7VX/or3MzL6NkfAF//+z2lLy/EANFf+ivyUSi1dQ13YYv+GaCVoXinI8wG8f2eVwDVTAS5Y435vPW8jUd2hQF3v3VRQzL3Lvr221NjTRGQszbvJZwPM4xJaPJsTqorWviw01byXbYOWz0CHLSHFhNxr16LyFSQWY+CtFPlbg8lLg8HDd89y8MgqEFJEo8AvhD75PhugkYvMlHIboywpXOCFc6p4/uPzMiguFFJEo8AvhD88lwNQGSCBGipwTDXxGNvoMSfYc52ZPQ6VxEohuIBSppRofHeSXS54TYfdkOO9nYGe3J7PX3isa2JUw8AoSjq9C05l6PQQix+wpcLWsjj03PSr6T0oAv8EbSZl/wvUGTfBRCiJ6g0YQv+G7S1kDoU0k+7oYGf5B5KxOXRdU0WLChdK+Tj0VON0XApMz2953DXB72GzE0B9CJwUWSj0IMQnHV21kraB3X4RFCpJaqNnXWClrixKQQYs+oqr/tz+Hoqh+2yrlSiH4uEK1C1UKd7qNp0T6KRgjR0zQ0NMJJ21Wts2tnIYQYiuJA8nsYtdNnhQNbJNZIRG1A1cLoFAtWfQ56vXWvjhnXVGJq4okdAM2h5Oeo3RGNNxFRG9FQMeqcmPXpPXJcIfoDXaoDEELsvXg8gi/aQDgeBMBmmZ10X5NxHIpiS9ouhOh9kXgIX7SBaHznxarVPCvp/ibDGOm3QuyBaDyML9pAJL4zQeGPVlAdWIDOOCbp60yGsSjK3t2sCiF6hz/aQDDSwIaGx4gpFkBJuJ9el4FO5+rb4IQQPUczYTHtD4DHcR2ZGW+Qnf4cJn3LrB275ahURieEEP2QBbNxUtJWq+XQPoyl7wSiZaxvfJgvyn/EF+VnsLDifLb6XiIQLdur49rNJsbnZydtnzWyeK+Or2kavsgmYhEjCi4UnChxBw2hlcTVyF4dW4j+QmY+CjGARaNBvGot33s/ZXtwNU5DJtPSj8euz8dqPoxg+JMfvEJHhvM2TEN07RshUi0Qa8Yfq2dl4wdUhzeRbipgqnsuNoMLoy4Tq+VIgqEPf/AqhXSX9FshdkdTtI5gvInlDfOoj5SRZR7OFPccrDo3EbWcxVWXM85zFRbzYYQSnCsz3bdjMpakIHIhRDL14e1s8i9hQ/MizDoHUz0noipuHLaz8QWe77B/hvO36ChIQaRCiJ5gNhWT7foLfqysb/6azd7/YtGnMc3zVzL0FvR6c6pDFEKIfsVsHEam63a2157JD5disppnY9ANvuWX/NEyvq/7PTXBz9u2RdQG1tT/mbgapsR5Nkb9nq3NmW638dsTD+eCf7xMXNXatR04ahj5nr1b8zMY205Us1AeXcGKmvdRiTPeeQgF1nEEYkHSTKa9Or4Q/YEkH4UYwGpj23h+681E1GDbtpXeD5ibdyUlaXdhMr2Oz/8CcbUOi2lf0hw/Y4v/I0oMJTgkkSFEn6sJb+al0luJ7ygDt8W/nGUN8zil8NfkmYswWM7EZZyCz/88cbUWi3Ff0tKuYKvvU0r0I3CYSlL7AYQYAAKxJiqDa3mt7B60HTfdW/zLWdrwNmcW3YkaWw1orGl4hGlZd2M2TdtxrqzFYtqfTNfN6ChM7YcQQrRTH97OC6W/pSla3bZtTfPn7Os5numeqzAaRuPz/4tofDtm4zjSnTdg0o/FaJTkhBADlT9aQRALL2y9GV+srm376qbPmJF+OtM8c5AeLoQQ7en1IynMeoO6pj8QDH+DXufBZb+QNNvpmIx7N1OvP4qpze0Sj7va7H2SPPucPU4+AozLz+LFn53Nn9/7nKVbt+OyWbnwoGmcNHUcGY49r06laSohVcf8qsfZ6Pu6bfsm32JyLCM4teC3xFQTBp1U4xEDmyQfhRigGiIVvFfxcLvEY6v/VfydS0Y+zMbAKorTbsSoOPBG1rO25h4iah3FznNTELEQQ1t9pJx3yu9vSzy20lB5t/xBLhz+IEtrbsZjnkaR4wZMujS8kQ2srb2HSLyOYpf0WyG6IxRv4p3yB9sSj63iWpR3yh/grOK7gD+gEevQ5+KahtU8PTWBCyES8se8LKh9qV3isdXShneY6DqSsubF5KddgV2fTZppHBYZZCfEgKdqBj6v/le7xGOrRfWvMt41OMsHCiHE3jAbc4Acst0PAFE0FAy6AvT6wTmLzh/dkrQtpvmJqb69Or7FaGRCYQ5/PfcEApEoOkUh02FHp0tc9r+74lqY2vDWdonHVlWhTaxu+pz93CdjkAXzxAAnyUchBqiIGqQytCFhm0qM6tBm0PSsqP1duzadYkaHsS9CFELsIhT34U3w4BQgrAbwxerRY6chvIyG8LJ27TrFJP1WiG7yxRoJJbnJbIrVEFFD7bbt2udGuC4hr9cjFELsjnDcx+qmz5K2r276nNGOo1lVdxdpxtHsm/PXPoxOCNFbIlqYdc0Lkrava/6KXOuoPoxICCEGDpOxKNUh9AmzPr3Tdr3O0iPv47RacFp75lgAETXGisb3k7av8s5nH+dBmGUJATHASf5ciAFK09RO22NqBIPS8cSYbz8Bk87dS1EJIZLRtHin7aoWQ6c4Erbl2Y/DqHP1RlhCDDoqXfS1pO0K+fbjej4gIcRei2ux5G1qBJ2uZYDOMOd52AdhSTEhhiat03N6TI30YSxCCCH6I7M+F5M+I2FbhmUmesXexxF1j6bFOlTF2pWqxdDQkrYLMVBI8lGIAcqks+ExJpufoZBnHUNdeGm7rW7zZEa6f4rJ4On9AIUQbeJqFIs+DWuStQb0ihGnMZup2b9Dr7Sv6e8yTWSU+3LMhs5H9Akx1MXUMKFYI2mGdAxK4rJCVn0aNr2TbOvh7bYrGJiceTcGvST5hegPInEfoVgjqhbHoJgZ6dg/6b5jXbPZ0vQc+fYTyLTO6MMohRC9yahYGGafkrR9dNrMPoxGCCFEf2Qij/2zH+owWNtuLGFC5i3YjPldHiOqBgnFGvt0UIvd6GG887Ck7WPSZmE3uPssHiF6i5RdFWKACce91IfXk2GYzJy8n/Ny6e0d1rWann4yJp2F2fkv4g1/R1itwW2ejFmfjX2IlF4Qoj9QtRi+aDnrG6sZ7xrP0bmX8+b2+zrsd0jWeZh0Vkz6fTgo/2W8kdWE41W4TZMwG3Kk3wrRiZgaojlaRl1DjALXMIy6OIdmX8iHVf/osO+ROZdi16czPuMmRqmXUx9ajFGXhsc8DZ1ix2bIScEnEEK0CsbqqQ19izM+BaPRxMrAa4x0HcWh2RdSGljVYa3zEvs0nIYMJmfejVGXhs1YmKLIhRA9zWnK4ojsS3h2yw1EtXC7tlGOGThkYJ4QQgx5JpMJJTqOWfnP4YtswB8txWUah9VY0GU1jEi8GW9kC2pTNk6nky3eLWR6jKQZC9Dren+NzCL7BLLMJdSEt7Tb7jCkM81zHBZ94spYQgwkKU0+fvbZZ9x3330sWbKEiooKXn/9dU455ZS2dk3TuPPOO3n88cdpaGhgxowZ/O1vf2PChAlt+4TDYa6//npeeOEFgsEgRx55JI888giFhTtvPBsaGrj66qt58803ATjppJN46KGHcLvdffVRhegRkbiPeNiIzZBNbXQZTn0mFw6/ny9rXqQytB6HIYMZGaeTZx2Ny9TyANVhGp7iqIUYuhrDlRh1ekqcdsrDn5BvmcS5w/7EgtoXqAmX4jblcmDGmWSYi0gztpQKMePps34biNbgj1USiNWQZizAasjCKg9yxACiaSrBYBS90YLTVU959GPshlzGOGaRYSriq7qXaYhUkGku4qDMs3EZszEbbIANG4W4zRNT/RGEEDuEYo2ocXCahtEcWUUk1sywtGmgBbEqmVxY8gCL6l5js38pZr2dfT3HMcKxPx6TrNQqxGCVpsviwuEPsLD2FbYGVmDRp7Gf5wRK7Pti1ffc2ltCCCEGLqPRiJESHMaSbr8mGg+hxUyY9S4CaWWUR6twuYrRKTaaQn48tt5PPnpM+ZxedCvfeT/hW++HqFqMMWkHsq/neNLNstajGBxSmnz0+/1MmTKFn/zkJ5x++ukd2v/0pz9x//33869//YsxY8bwu9/9jqOPPpq1a9eSlpYGwDXXXMNbb73Fiy++SEZGBtdddx0nnHACS5YsQa/XA3DOOedQVlbGe++9B8Bll13G+eefz1tvvdV3H1aIHhCLqfiVzXxcdgPheCMATmMJB+fcgUHnQK/occsDGCH6hVC8EaNOYWH1H6gMftO2Pc86k7m5NxFHxaAYcZmyUxKfN7KFD7dfgz9W2bYt0zyBQ/J+j92Ym5KYhNhdwVgzmtHLZxW/oSGyoW27w1jAUXkPcWL+dcS0KEbFjNOUlcJIhRBdiakxGmPr+LziFmJaoG17ieMYpmZcjsuYyaE5P2Fm/Ax06PCYuy6jJYQYuCJxP6riZ0Pd80xxHc6MzFNBUynzzycUz8LMcKnlJYQQYo+ocQW/VsrH5dcTiFW1bc8wj+fg3LsIxOLYDJm9HofHlMdMz2mMdx6ChobD4MYsMx7FIKJomtYvVi9VFKXdzEdN08jPz+eaa67hpptuAlpmOebk5PDHP/6Ryy+/HK/XS1ZWFs888wxnnXUWAOXl5RQVFfHuu+9yzDHHsHr1asaPH8/ChQuZMaNlDZCFCxcya9Ys1qxZw9ixY7sVX1NTEy6XC6/Xi9OZeM0uIXqCP1pDVA1j1qVhNbavWe6NbOW9bZcSUZs6vG6082Qme36GzSTrOUp/FT0hqvpR1UhLYl9n7NDeFKlEQ8Wuy8Zg6PjkIxCpY0XD42xo+m+HNpPOydyiJ3CZOi8D0lsCsRre33YZvlhFh7ZC22wOyr0DUx9d8Ep/FXsiFPMSijejV4wsrv0zZf7PO+zjMpVwWN59OE1StrinSH8VPxTXosTiPnSKEeNunjcCMS+RuA+DzoLDmEFjeAvvbDsfVYt22Hdaxi8Y7TgTs8ncU6EPetJfxUDQHKkirkWxJnjYGo74WdP8Aivrn+jwOr1i5viif+Myl/RRpL2rP/TXuZmXMXxCIY9+eltK3l+IgaI/9Nf+IBL3oqFi0rlRFCXV4ey2prhXPUkAAQAASURBVEgp87df3W4wdqtC+8FMz7wOh2nnoOxw3Ecw5sWgmHDIoFYhuq3fjhPbvHkzlZWVzJkzp22b2Wzm0EMPZcGCBVx++eUsWbKEaDTabp/8/HwmTpzIggULOOaYY/jqq69wuVxtiUeAmTNn4nK5WLBgQdLkYzgcJhzeua5AU1PHZI8QPakpUk5jdDsr6v9DIF5Htnkck9NPx6r3YNuxyHBjeGPCxCPApub32Md9NjaGXvJR+qvoSZF4I03htaz3PkU4XkOm5QBKXD/GZihApxjwRrZTFljKGu88VC3OyLRDGZF2KG5T+7IYUa2ZTc3zEr+H2oQ3simlycdEiUeAssCXhOINvZZ8lP4q9kYw3kggVs/K+leoDq/FYchmH+dc0ozDWN34bLt9vZEtRNTmFEU6OEh/Fclomkogtp2tTa9QE/wSo87DKPeFuMzjMes7L9/tj9QRVBtY0fAKteH1OAw5TEs/i7jqS5h4BFjT+CLFjsMwI4MJkpH+KgYSb7ScutBGVjW+TijeRIF1GhPcJ+DQZWM0WgEIUceaxpcTvj6uhakILh6wyUfpr0IMHNJf2wvFqqkJLmRL08toWpRCx4nk2Y/EahxYVdiCsdqEiUeAMv8XTM24AoBoNIhPrebbxjcpDy7HoncxyX0ameaROKXynBBd6rfJx8rKll8AOTk57bbn5OSwdevWtn1MJhMej6fDPq2vr6ysJDu7Y0m77Ozstn0Suffee7nzzjv36jMIsSt/NIw/EsVtsWLaURK4VXO0ktVN77Gk7pm2bXXhTaxr/h8nFd7flnxMliyAlhswlcQPbAY76a9DV2MwSFzTyLDZeuR40Xgzm7zPsL7xH23bmiPrKW1+lYPynwYljQ8qfk91aHVbe014Hd973+HEwj/h2iUBGdciqFok6Xv5osn7c28Lxeo7adWIacFee2/pr2Jv1Ie38FbZjW0JirrwJrb6F7Jf+rmUOOayxfcexfbDGeb4MZoGSv+91B0QpL+KH6rx+7Ho9aAL88X2s4hpvra2uspFlDjPYqznSkx6V9Jj1Ee38E7ZTajEW14X3sRW/1ccmHU5RfbD2eb/uMNrgvE6oF8U7Om3pL+K/iIWi9EQDmM1GnGYOq6Z5Y2Us6T+OdZ4323bVhfeyJqmeZxS9CCZxlE7tqpJB94CNEe39XTofUb6qxADh/TXnUKxGhZXXU9DeHnbNm/9ajY3Pc+BeU9iHUDLt7RcWyajEVNblgDwxrfz+rZfElV3LgmwPbCM8a7j2Tf93F5LQGqaRigWw6DXYdS1PEPu7LlyfxeOxdDQsBg6VhUTg5su1QF05YdTtzVN63I69w/3SbR/V8e5+eab8Xq9bf9t2zZwL2xFapU1NbGiqoI7PvuEX82fx0PffMXGhnqagzsf7kfVEEvq2s/YMChmxqQdTlN0E77IdgDSzcnLBFv0HvTK0CxFJf116NnqbeSDzRu4/qP3ufbDebyy5ju2NDbs9XHD8dp2icdWcS2EVRlBVfD7donHFgouYx6+aCmBaAWxWAwAvc6MWe9O+l4e8+i9jndP2TsZlahXzJh0vVdyVfqr6K5gdBuByGYisZa+7Y1s57OqBxLOjFpa/wLDnccxO+stfIGLuPOzjdz1+UYWbFN75HfD7tC0OJF4LZF4Hf1kdYM9Jv1VtNrc2MCTK5bwq/nz+PUnH7CyupEJnnc67Lel6SVC8eoO28OxGgKRzfgiZXxT+++2xOOuFtb8kxHOExK+v9s0EqX/37qmlPRX0R9saqjniZVLuWb+u/zmkw/4uryMsqbGdvuE402s8b6Ly1jIAennMDvrEkanHU5Mi/BVzeM0R1sGiSvoSTMmn+2cZZmUcHs03kg4VoOqhnrsc/U06a+iv4nEfSyp+T9ULZbqUPqdodZfI7E6ApHNBBMM8GgIrWyXeGwViJWxzfcWmtbx+q4vhWO1BKPbiMQau9w3zViYtK31mUhztJIvax5tl3hs9b33HcK9VGWnrMnLv1ct46fvvsGNH75PmdfLquoq7v7iU341fx4PfL2ADfV1eEP99zzXqibg57PSLVz5/ttcPu9N3l6/hkqfVCcaSvrtcPDc3JbREpWVleTl7XxIWl1d3TYbMjc3l0gkQkNDQ7vZj9XV1Rx44IFt+1RVVfFDNTU1HWZV7spsNmM2D81Ejug5VT4fn5Vu5jefzm/b9mVZKU+uXMrzJ5/JFGtLSZmq0PfsOpq70LYvMzJOo9b3Hxqb5xMIZFHovBincRwu03C8kc0d3muC5wIc+oEzyqgnSX8dWrZ6G7nz84/5aOumtm2flm5hXEYWfz/2JIa53Ht87PrQ8qRtEZpZ2/S/dtschiyOyv0lvtAXbG+4g3LFQK7jVDJtc7Dqs5nguYCltf/X4Vgu03DshtT1V6s+g1zr/lQGF3do28d1JhZ97y2sLv1VdCUY3UZTeCnbm54hqjbgNh9Aoeti4qqRhkhpwtdoqERjedz40Yd8U7G9bfvHWzezf24+fzlyLsPcvV+WPBQrp8r3BlX+N1HQkec4i0z7MVhS2N/3hvRXAS3JhHPffIWKXR4UvLNxHRdOnMrFUz5lZf2h7favCnyO09QywCYcqyUSr6bU+xi+yLeY9NlMTz+L2si+fFX773avU4kRjDdh0qV1KJk8NeNy0kzJHxIJ6a8i9dbV13LOG/+hNrjzIe2b69dw5X4zOGvcJIpcLTOit/gXcnjOldiUMHX+1wiGGygw78/kwjv5vOZpYmpL5RCnqYgpGZfxReWtHd7LZsjuMDA3EqvDG17KtqbHicbrcVtmUeS6GIuhGJ3Svx59SX8V/c13Dc/yfePz5Ntnkmc7INXh9CtDpb+GY03E1Eq2eZ/EG/4Go85DgfMCnOZpWI1FxNUQW5tfSfr6sub/Upx2KhZD7z1LSCYcq8IfWUNp0z8Ixyqwm8YxzHU5FsMwjPrE63KadE6yLVOoDq3o0DbWdTpmvZtg3Mv2wNKk77vVt4gsy5ge+xzQMuDvR6+92HYuXXjBZSwo38Z18+e1PTX+sqyUf61cyjMnncH+eQXJD5ZiNQE/v/1kPv/bvKFt26elWxifkcWTJ5xKriMthdGJvtJvh48OHz6c3NxcPvjgg7ZtkUiETz/9tC2xuN9++2E0GtvtU1FRwbffftu2z6xZs/B6vXz99ddt+yxatAiv19u2jxC9pTka4fbPP+qw3R+N8ptPPqDU6+3Q5jTmMd1zLGurL6M28C6hWMtD2O9rrqSi+WmOzPsT+bZZQMvMXaPOwbSMn1NkPxS9vmNZGyEGm3X1te0Sj61W19Xwzoa1bTMPe5/CUbm/pLT+N1Q0/5NgbDOB6Ho2NfyJ72uuIq5WU2w/jKkZV2Bsm0mokG87kMPy/oQzhQ9RLQY3B+bexvC0uSi0lOswKBYmei5inOdsDDr5XSJSIxjdxuaGB1hTewPNkZWEYtuo9L/K0oozMCh+rElmE3tMxSytbGiXeGy1uLKcr8rLejnylsTjisrz2NL4IMHoJgLRDWxs+D3fVl1GOMl6IkL0dzV+Pw8tXtgu8djq398upzEcYrL+rXbbFXZWlwlE17Os4gxqA/N2XNMuYVPdjdjYzkTX8R2Oada7yTBPbPu7RZ/OrOxbcJtGddhXCNF/VDQ386evPm+XeGz18JJF+KI710vLt44lFv6MLQ13tJ3ra/yvs67mZ8zOPKfdLOdMy3hmZN3UrppItnUaR+b/Fadp56zIaLyRLY0P8n3NL2gOr2i5fvC9zJLykwlE1vXOhxZiUGlNa3ReaU4MXpH4VpZWnEGV/zVCsW00R1aypvb6Hfc23ZjtqSgp+emJxBupaH6VVdWX4g19TSi2jbrA/1ha8SOawskTh2mmAg7MuY1hjiPbPRMZ7z6PMe4zsOxY/qov+4QvEuEPCz5rdy71xyL85pMPOiw+EIzF+PXH/2Ort2+r/OyO1bU17RKPrb6vq+HtDWsHfJUg0T0pHf7l8/nYsGHnD+HmzZtZvnw56enpFBcXc80113DPPfcwevRoRo8ezT333IPNZuOcc84BwOVycckll3DdddeRkZFBeno6119/PZMmTeKoo44CYNy4ccydO5dLL72Uxx57DIDLLruME044gbFjk5ewFGJveUP1bGqoJaqqCdu/q61uuwnLsYxHQYeGyhT3CWz3PoiWYP3G7c3/Ji/tR8zIvomYGiCmhTDq7Nj0WRj1PbPmnRD9lTfiJaLGeOn7VUn3eXXN9xw7cgzD93CGU7plWtI2o+ZgrPMYtgVaZgsW2/fHF/qMcLzj2o2+yGq84aXkOk5ltOs0ih2HEVX9GBQLBsWOw5R85n1fsRuymZF9E1MyLiWmBjHq7Fj1Gegl8ShSKKo2UBN4u8N2VQuyqeGP7Jd+Fl/UPNahPdd8CA8v/S7pcV/+fhWzC4sodLr3OLaGUAMRLYiKilExkWnZuaa4psWp8v2XUKxjktMfXUNjaBE5jpP3+L2F6E21oRqiWhgdCiadBY85o63NF43wzobkD+7f3biOG2fMZuXWnduybQcDEIhuZX39nWh0HBRU2fw0Y7L+ybfed2l94KlTjLiMBczIvoGYFiCuRTDpHNh0ORgMg3/GgRADWSAW5aOtHavztPp462bGZbacN9P0djYG53XYR9WCVDY/weiMP7RtSzMWYHIcQ65tPyKqD71ixqjYcPxgja1wvJoK30sJjhlmff3dTMx+FGMnyyEIIcRQFoxuZ2P9vahaxzKe1f63KHBehNVYxDDnj6gJfpnwGEVpp2DS936lmR+KxevZ6n0oQYvK+ro7sBmfwZqkhHeaqYD9Mn/J5PSfEtOCGHU2zIoHi7Flpr5BZ6XQth9lgY4VowCGOWb21McAoDEU5IMtG9v+vvTsn7DM20AoyQD7DQ31NEciPRpDTwnHYjy9alnS9ue/W8nJY8aRZbP3YVQiFVKafFy8eDGHH35429+vvfZaAC688EL+9a9/ceONNxIMBvn5z39OQ0MDM2bM4H//+x9paTun5T7wwAMYDAbOPPNMgsEgRx55JP/617/Q77Lw6nPPPcfVV1/NnDlzADjppJN4+OGH++hTiqEmEolQG69kfuV/MUU6L1ehqi0PWww6M/tnXMA3df/CY8plY1Pyhzze0BLynWf3aMxC9Hc1oUrmVfwHo+IgEk9emiEcj+3V6CmzPpMx7itY1/hou+16xUqILeRYx5FrmUBl6DuKbVNoCDyV9FjVvjdJt87Gos/Cou+f5SSMOitGXf8t0yGGnrrAp0nbvKGFTPPcyle1RuI/WPexwLY/UTX5wISIGie+FwMrq4LlvFXxAt95l6KiUmwbwSkF55NhzMFt9hBVG6n2v5n09RW+/5BhOwqDTm6uRP/RGPZSH63kje3PsDWwER06xjuncWL+2eRad54bYlrigXQAoVj7tX1KnOdi0WcBoKp+gtGOlQpaaIRim3AYsvHFWpbImJV1GSadDbux78t1CSH2jqZpqJ1cg0fiO39XNIS+SLqfN/QV/ODht9lgw0xxp+/fGPwqaVtTeAkxtUmSj0IIkYSqBfGGEyfYAOqDn+M0T8JjnkS6eT/qw0vatduNwyh0HI+i6JMcoff4oxshwVriAOF4OTHVCyRfP9huzE7almbM5sCsy3lj22oiqr9d2wT3yZiUnr23U6HdudRgMBCNd76OZryfzh5UNa3duf+HIvG4zHwcIlKafDzssMM6/UFTFIU77riDO+64I+k+FouFhx56iIceSjTKoUV6ejrPPvvs3oQqRLc1qrU8tP5ugnE/5+QfhQIdpscDFDtdOEwto7idxjzGOo8mzzoRo9JxxuOulH62XoUQva0mVMljm/5ITbiSbHM+c0efyWfbtibcd+6I0WTvxcgpo97BcNc5ZFqns7Hx34Ti1WRaZzLMeTo2QwGKoufIvJspD6zAoKiEOumPimJA0/r+4luIgUzX6Q2rDr1i5Ixhj7Gq4XVqQmuxG7KYkn4GbsMwjhsZYWV1x3W+AY4bOYYCuyNhW1eqQxX8bePv8Ubr27aVBjbx8Prf8asxd+E2e2gpNJk8dgUDqSlEJERyzfF6Ht5wN3Gt5cGAisq3TUsoDWziqtG3km3Jw2IwcEjRMD4p3ZLwGMeOHI3P5yPLeiAjXRfhNI/FpHftaO18hQ+jYsdjKibLMoYpnjOwG7Il8SjEAGUzmjggr4CvE5Q/BziyZPguf0s+oAF0KAnvnjvX+QNvBSklKUR3STJgKFIwQNKnl6BTLABYDFnsl/Mn6kKL2eJ9EZUYhY6TyLUfijVFa9x3nfDcuxXnXPp8Ti9+hNXed9keWIZF72KS51TSTSU4fzALf285Te3PpZOf+QcfnH0RekVJmGTMtTtwmvpndRCr0ciZ4yYmfXZ30uh98FisfRyVSAXJYgiRRCxei6ZFURQLhm6WDojEIyyuX0Ag7gNgfeArLp46mX8uX9luP52icNchR5K3S47EacrHaconEC0nzTyV5vDyBO+gw2lOXhZSiMFoe3ArNeGW9dKqw+Uclqdjn4wM1tTVtdsvy2bn3IlTcOzhYvCN4QpUVHToybDuj1mfDajoFDM2486LSpepAJepAF+0DjOVbG74U8Lj5TrOwGxI36NYelI87kXVAiiKAcOO2ShCpFJjuBwVFb1iwGVqf5OaYT2cLY0PJnxduvVQ9DoLGYZcZmT8lIjWjEExtyUr5o4YxfPfraC0qf16ykVOF8eNHIPBsGeXveuav22XeGylEue9ylf5UeEluE0e8tLOZkP9nQmPUZB2HnqdlEcX/UdDqIH3K19rSzzuqinWwJqmlWRb8shzpHHTrIP5umI7gWj7AXKHFJdQlOYgbm5mrOUW0vS5GPQ7+5leZ8dhmoAv0rEksoIBj2VfDrHMxKBYsRtTf75sFYs3oGkhFMWIQS/JUCG6w2wMce2sfbnwv1WE4+3Lwx07cgR2887fNRnWI9ja+H8Jj5NhPQy9svvnS4/lwKRt6ZaDMepcSduFECAJ+qEtihm35RAaQ4mr0DjNs9r+bDFkkW09CJdpPKBh1Dm7/dxD06LE43VoaOh1HnQ6y17HbjWUoFPMqFq4Q5vNOBJF2bsqVEajDQ/FTM+4gAnuk9ArJhxJBsuF4z78MS+gYdY7sLetG9k9bouVOw45glNfeaHtXGo3GPj5fgfw0OJF7fZVgDsPOYLCPRxg2xf2zytgXEYmq+tq223Pstk5Z8JkjHoZrD8USPJRiB+IxesJhhdQ2/QXorFtmI3jyHTdjMU0Eb3O2elrfdEm1vu+bfv7N43zuXz87UzPK+DvS5dR6fMxKTuLq/afQZZN5YuKcyhxnU2e7QhsxpbyVjZjPqPTb2NF5fnEtfbT+od7rpWHl2LIWdvUPnn/VvVj3HnElSws9fLGmo1E1TjHjBjFeROn7tFaj42RSsoDq1lY9zLeSCWZlmEclHkuBpr4tvY3eMyTGev5BVZDLlbjzkSJw5iB3jaHKt/rBKLr2x3TbZmFwzRuzz5wD4mrASLRddR47yEUWYpBn0N62pU4rEdJElKkhDdSQVngexbV/QdvpIpMSwmzs84j3VTQloQ06NModF5MWdOT7V5r0HkY4bkey44RtVajEyvtz8klbg9Pn3gGr6z5ljfXr0EDThw1ljPHTaRkD9eBDcZCrGlembR9k38tES2Eoihk2o6iwvcy/sjqdvu4zbNIM0/Zo/cXordEtCAbfWuStq9pXsn+nkOwGa0UOZy8ccY5PL5sMV+WleI0mblg0lQOHZbPVw3/R1lgBRZ9GtM8JzDWORv3jlHgVmMRozPuZEXlBahaoN3xR3huQK8zYzfk9+rn3B1xtYlQZBW13nsIR9diNBSR6bweq3kWBn3/SY4K0R9FtDDl0YX890dn8tjSxSwsr8BjsXDxlElMy81gnX8hI1xnAGDQuShw/oTtTe2XLzDqPAz3XIfZuPuzZ0z6LIa5r+6Q1DToXIxM/w0Gfef38UIIMZQF43EyHJfii6wgpja2a8t2XMz2UAPuHXlCf7SUzd4X2O6bh0aUHNvhjHJfjJlCTCZT0veIxrbT4HuKJv9LaFqMNNvxpKddidEwDEXZ8+R3dVjHSM+trK+/pd12nWJmZPpdeKM2HMnD6jaj3oZLn/x5bEN4O0sb3ma192PiWpxRaTOYmXkmaUpup9/LD432ZPDuWefzyJJFLNi+jZ/O+y+PzT2Jydm5PLr0G8qbmxiXmcVV+88k35GG0Wjc+w/XS3IdaTx1wmm8tWEtz3+7kqga56TR+3DOhMkUOmVQ0FChaFJgt1uamppwuVx4vV6cTrlwHaxU1Udd0yPUNz/YoS03/W84bSd1OqW/KdLEf8qeYKX3GwAOy5qLSamnLLCCEbY5mHRufLGtrPfP59i8a/CH3mG7/11ybUcyIeM6bMZCAKLRIBGtnGrfG3jDSzDpsylwnodJn5N0oWSxk/TXwWVexSu8V/lqh+3DbWMZ5ziIfdKmkWFO26MZj02RGpY1vs2i2pc7tM3JvQp9/Fu2ND8L6JiR+wjZto6jqoPRrTSGFlHtfxsFA7lpPyLNNB6rcdhux9OT/KHPKav5MT8sneK0nUWW+3YM/WTdG+mvg1NMjaGiYtK13Gg1R2tYUvcmX9e/0mHfY/N+xZi02ZgNLTdzweg2QrEyypufIxqvx2M9iCz7cdiMwzu8NhF/JEJ1wI+GRo7NgX03bvZ+KB6P85/tT/FV3YcJ27PMuVw2/EayrS3JllCsEm9oMZW+/6CgIz/tXNLMkzEbkq8lMpBIfx08qkOV/GPTfVSHyxO2z0w/jDMKL8ao3/lAoy4QwBsOYdApWEwNPL35atQfrLEzzL4vx+Rd2ZaAjMV8RNQqKnyv0RxehsmQS0Fa6zVt/1lzWNPiNP0/e3cdHWeVPnD8O+4a1yZ1d4HSQkuNAsVhcWe7wAIFFhYWK7Lwg12gwCLLwgILCyzuLi1SClXqbkkan2Qi4/L7ozRtmpm0TZNM5Pmcwzmbe9935hmW+8p9rnjepcR1bZO6JOuNOC1/QNnJ9myV9iraU4WvhIrAdj4r+hv55gnYVf0IRevZ7vsKsyqZscnnkW8e2HC8N1iIL1RAUe0rhMJVh3yvjyUYrsYT3EZRzUsEwmU4DZNINR2PTp11WB3b7aEjtNfjkn9P/qBsnl5wZ0K+XyTW8opnWF31IlOzniDDOCbR4XRoHaG9trZS3y5e3DaP32Wfjj/wE97AL6iUTiyGk9lQX4ZJncKElOnUB3ewqPgqPKGCRudrlDYmZP4Hszb2NTwY2kVB+RkEQ9sblSuVDnqkfYpW3fy+vs35tWo7u+q3c0SynZLaV/GHCjFrB5NiPp1/bV7NWXlHk2tq28HXLn8Rb+28g+pgcaNyvcrC+XkP49Qdej+uNxikJuBHo1TiNOx+Ty5wuwlEwhjVGjIsu2d0hiIhQpEIenUrZFjbSCQapdLrIRqN4tAbZMZjNyMzH4XYRyhcgas29v6h5dV3YNSNQ9PMCG2r1sqE5OmsdC9GgYKB1kG8X3gHAMvdLzc69pvSf3Fazi0U1X9Ciedr+jiuYM8YGo3GgIZe5NquIhh1o8SAVi2jQkT3NMw+js9L3iG6XxJtm2cDvcz9SDWaMahbttRqMOpjcUXTxCbAd2UvcHbeX39LPkZYU/kQJs0TmPYbAGDQ9MCg6YFTPwmFUoVWldSiWFpTKFxKadUtxNqzocbzP5zWKztM8lF0LaW+ckp8pcwvX0gkGmFC8jhyjFmo8bHY9U7Mc+aXPU+WcWBD8tGgycGgycGs6U8YP2ocqA+hjZu0WvIPI+G4L5VKxZFJk+ImHycmT29IPALo1enozSeSbJwMKFEpZR8L0TGl6tM5OmU6bxW+GLP+yOQpjRKPAElGI0lGI+5AMR8UPd4k8Qiwo34ZdcFKCuqqSTUmk6ZPQY2ZPNs1BKNVKDF2yGfaULiEsurYHe6VNY9hNZ6BtpMlH4VoT2qlkl8qXiMQ9bCh9gvgi4a6SnYyQXlBo+MNmmwMmuwW3+tj0ajs2FQjsGgHEiGISmFEoTi8vb6EEKI7MKnN5Jp68+jmefQy96eHYSqegJeVpf/DF/Zxy4AHASjz/NQk8QgQjLjZVvM6fR1XoVM1fc6r933fJPEIEIlUUV37Asn2W1EqWvb+lq638+flP/DYxiiX9zqBDL2BJS4XLy75D0Mdedi1bb8s6Y765U0SjwC+cC1LXR8wIflCDJpDW/7VoNFg2G9WY45t77/bUl85pb5y5pf/SDgaZnzSGPKMOaQZOt6gV6VCQYpRnqO7K0k+CrGPYHgnxOhIAQhHXIQjVWhofnmoJG0qx6bOYmnVD7iDsUeTA9SGygnvkxeo8P6CXTew0TEqlQEV0nEpuje9wsDZub/n9Z3PNkpA9jT148jkKRjULd8nwB0oidl5CuCL1BGIBBr+rgtuJRTxxDwWQKfpOA954UgtwdC2uPU+/zJ0mr7tGJHoDkp95byy402WVK1oKPvFtYzxjjHMzBxKlEjM87zhGny/7ZW8L43aQUdYRMassnFS5rl8uOu1RteggdYRDLKOinmOSpIUohMYYB3BYOsqVtcsbVQ+K+NszM3sjxaKBij2bohbv7V+KRF68/aWD7my1yWk6VNQqfSoyIh7TqKFI1VE9ltmbK8QwXAh2gSvaCBERxaKeCnxbYxbv71uCVnG/k3K2+Jer1TqUHJ4iUwhui9ZHK87MqutTEs7mULPNrbUrW9Yml+lUHFx3jXolCZ8wXJKPLEHZAKUer4j33pOk+RjJFJPrSf2IFSAOu8nOCxXomzhSjEpeisPj7qIaxY/x9/Xf9ZQnqG385fBp2HVtG2fal3QxcbahXHrt9T9wkjnyRg4vL0n91XqK+e1ne/ws2vvM/wvrmX0MudzTe/LSdPLNjui45DkoxD7UCiaT2IoFAduMsn6VI5yTmOsYyLVwe3NHqva5/PUCumoFCIWpz6Zfgzmlv4PsaF2NZ5QHX0sg7BpnCTrDi/hp1Y23zGhanSbVKBUdIRUyIEpDnB7Vyg77qbkovMq8BQ2Sjzusb52EycpRzd7rvIg7q+JkqRPYXj0CAZYh7O+ZiX+iJcB1mGYVTaS9R1n0IEQhypZl8qpWRcwLf1k1tWsRKfU0d86DC06kg3xOy0UKFGiijt4R6c0UhXwsaF2Myur1zAtfVIb/YLWc6BnfOUB3hGE6O6UiuavCxqltCEhOrKOvjSxaHvJujQuyb8Ol7+CzXXrsGrs9LEMRKc0Ydfa8YeqUSniJ/LUCgMQa7a5GoUi/l6JCuXhzVJXKpT0t2bx36PmsNZdQEF9JQNt2eSZU0nVt/1qGyqFBo0ifr+SRqlHGfPfS8vt8hY3SjzusaVuG4tdyzku9VjU6o77fi26F/kvUYh9aFRZKBVWItGaJnVadV9USudBfc6eDhu9X4laoSUUDTQ5JsPQn1DEBYACFU79yMOIXIiuzaFPBiDdkN2qn2tWO9EpzfgjTWddObXZKPA3/J1iGE802jlmIquUDgy6CXj9P8So1aDXDm33mETXVhOs4auy72PWuULVWNQp6JQm/JH6JvVJulz0HXymYNJv9/VMg+y7LLqWZH0ayaSRZ+pz0OdolUb6WI5iQ+13Met7msdww4qHAPim7HuG2AaS3gGXgNqXSuFEq+5NILS5SZ1SYUOtSk9AVEJ0HmqFnj6WI9lQG+vZU0G+uflBSEIIIRIvWZdOsi6dvtbBTep0ajs9rGdQ6pkf89xc6+mYtU33blQqdTgsl1Hv+zzmeQ7zZahVyYcVt0qhJMPgIMPgOKzPaQmD2sIwx0w21y2KWT/MfhwOXfMr6B2KumAdX8d57waYX/4jox3DSW/hTFIhWpssgC/EPtSqNDKT/8n+eXmlwkJG0pOoVYc2dV2rMDIz8wYU+zU1vcrC9PSr2OTa3TEzKOlWSv2+w4pdCHHojCoHJ2bdjHK/Nq9VGpmZOYctVfMA0KmS6e+8nppQ7GUjOxqVyka64wFUyv0f4hVkOB9DrZQHUdG6QpEwwUgwbv3m2l2ckHUTShpvLq9VGjk+8wbsuo67HKMQojGzJomJqRdgjbHc+KTUy/GE/IQIAeCPBOIuudyRqNWpZCQ9iVKx/8oAGjKTn0WtSktIXEJ0Ft5QhImpF2FRN31fnpx2OZGodD0J0ZFFo7Lcqjgws6YnmaYZTcoduhGkGY+Oe55O0x+r8cwm5QbtEZj001o1xkRI0uUwwHpMk/Isw0B6W45o1e8KRsONtgfanz8SINIJnr1F9yEzH4XYh0KhxqAdR376fGo87+EPrsOoOwKTYRoa1aHPuDJpHWQziIt6/oM11V/jDpaSbRxEvnkkLs8XJBnGMTTlXlbW7CLXKMsgCtHe9GoT6bo+XNzzH6ytmY/LX0i6vg99rEdS51uKTu1ksPk2bLpRvFbwPadln5jokA+aVtOLHmmfUO/7nnrfN2jVeVhNZ+6e4S1LX4lW5tQ5GOscwdqa2PvAbazfwSm2KVzU8x+sq5mPy19EhqEvvS1HYG2SJBdCdHROXTZn5d5PkWcNW+sWY1TbGWKfRiii5KZVDzUcN9oxDJvanrhAD4FOM4ge6V9R5/0Cr/9ndJqBWI0no1ZlHdTWC0J0Zwqlim9Kf+Z3Pe6n0LOGbXVLMKrtDLZPIxxR4Q4FkRR+xycJKAGy/KqIz6TJpr/jWnpYz6Sg9gMi0QBZ5uOxaHti0sRfIUatSibFfid28wVU171KNOrDZv4dOs0A1KrOPzDars1gQspFDHXMZE31l4SiIQbYJpGsy8Wubd1Btg6tjXHOUaxyr4tZP8o+DJu67ZebFeJgyVuUEPtRKvVolT1Jtt1ANBo5rLXHASzaZCwkk5p+OeW+Ct4oeJ/vKj5mgLUPNcFk/r71aUY6hjLQOqKVfoEQ4lCYtHZM2DlafxH1wTp+qlzKDb8+yMz0Kdg0M/muZBNLq/7OLf2v63Qbd2vU2djN52Az/e6wr2VCHMgw22DS9amU+Moalds0FqakHo1Z48SscZKiv5hIJIRSKY+hQnRmTl0WTl0WfS1Hs8NbxL1r/okrVN1Qb9NYmZw6EaOmcwx4USiUaNW5OC2XEzVfKvdNIQ5Bqj6ZIfaBXLvir5yScRwjHefiifi4Z82/yDfncHHeOYkOUQghRCswaXMwkUOyYSzhcBiVSnXgkwC1Kgm1KgmDbjTRaLTL7TPq0GXg0GXQwzTskP69tMQgW38y9ens8pU0KreozUxPn4RJ0zm2CxLdg/T6CNGM1u50UKFhRsaxvF34IW8XfoRNY+X83DMZZh9Eql5mfgiRaCaNmaH2gVygOJNPi7/GHayhj6Undw/+Mw6NPdHhtZh0oIr2kG5I5c/9r+Xr0u/4seJnwtEIY5wjOD5jKhmGxvMdJPEoRNehU+uxqi0cmTKGhRW/NNv2Owu5bwpx6NL1Kdw76BbeLvqIz0q/xaIxc1LWcYxyDJN3XSGE6IJammDraonH/bVl4hEgXZ/KTf3/yDelP/BDxSLC0TCjncM5IWMamQbZp1x0LNLzI0QrKfGVU+GvYl3NFpxaO/0s+ZjVBuzavdPdnXobTmxcnn8BgUgABQrSDZ1/iQEhOroSbzllfhcbareRrLPTx5yHTWXCorM0OdapdXCMczyDrf2JRKNolVo0ShU2rSxdIbovl8+NJ+Jlbc0WaoK1DLL1waG1kr7fbOB0fSqnZp7IsakTiRLFqjFjVsuy4kJ0JiXectyhOlZXb8SoNjDY1ge9UkeK3hn3nHRDKqdlzmJK6u79fsxqIxZN03usEKLz2f8ZYKC1N06drckzgE1rw6a1cUneufgjfpQo5V1XCCGEaAM2tYWTM2YwKfUoIIpZZUShaJz09Aa9uII1bKsvpNhXTk9TDpmGFDLk3izakSQfhWgFJb5yHtnwApvqdjSUaRRqbu5/Ob3NuY0SkABJOkd7hyhEt1XiLeehDc+xrb6woUyr1HBL/9/Ti2ysOmtDeSgSYmPdFh5c/0SjTbzzjDn8qd/VJOnid7wK0VVV+qtYV7uVeZteJBzdu3n9IGtvrulzAWn7zWYwavSdZplFIURjpb4K/rX1TZZVr2koU6Jgdq+zGWkfSHIzCUhp+0J0PYf6DADyriuEEEK0pfpQPd+U/cBrO98hyt69eienTOB3uadg01gJBoPs9BZzz9qn8IS9Dcek65O5fcBVZBk75+okovM56OTj448/ftAfeu2117YoGCE6o5pALW8XftEo8QgQjIZ4cP1zPDr81ibJRyFE+6jy1/Dazo8bJR4BApEg/7f+WR4ZditW9iYfqwLVPLRf4hFgu6eANwre59L8c9GpdO0SuxAdRX3Yy6MbXyRCpFH5mprNfFb8PWdmz8CoMSYoOiFEawmFQvxYsaxR4hEgQpRntrzOw8P+TDIyCEeI7sQT9skzgBBCCNGBlPjKeXXn203Kvy3/gWH2QYxLGkVZ0MUD659tlHjcfW4FT2957bcBREntFbLoxg46+fjoo482+ru8vByPx4Pdbgeguroao9FIamqqJB9Ft1ITque78sUx60LREGtrtpBtlDW3hUiE+rCHhZXLYtYFIkE21+1sNOJru6cA/36Jxz1+rPyF07NnkSrJR9HNLHGtbtLpuMcXpT8yLX28dDwK0QWUBSv5pHhBzLooURaULybfnNPOUQkhEkmeAbqXrr4PmxBCdHahSIjPS76JW//Brs8YaO2HK1CNO1gb85g1NZvwhX1tFaIQjSgP9sBt27Y1/PPXv/6V4cOHs27dOlwuFy6Xi3Xr1jFy5EjuvffetoxXiA4nHA0TiATj1rsC1e0XjBCikWA0RCgajlu/f/usaqa9hqNhQtFQK0UmROdR6a+OW+cJe4lGo3HrhRCdiQJ3sC5ubaU80wrR7VT4q+LWecJeIvIMIIQQQrSbUDSEKxD/3uwO1qKIgjsU/5kewN9MP7YQremgk4/7uuOOO3jiiSfo169fQ1m/fv149NFHuf3221stOCE6CpffRYm3hBJvKaFQ4+SDRqkhXZ8S99wB1l5tHZ4QnUaFvzJuW2oLOqWWZG38fWf6WvIa/d3TnBfzOACn1oFeZj2KbmiovV/cujxTNiqlKm59opX5yijxllLmK090KEIkTIW/ghJvKaXesmaPUytU9LPkx60fbh/Q2qEJIRLsQM/mB3oGUHfgZwAhhBBtoy5YR4mvhGJvCTWBmkSH063olDqG2wfHrR9o7YtGpSFLH39PR4NKj0llaIvwhGjioJdd3VdxcTHBYNMMeTgcprS09LCDEqKjqApUUx2s5p3C99hQuxGT2sSxqZM5wjmGlN8SjpmGVM7vcRJ/3/B8k/PzTNmyhrYQQJW/isqgi7cL32Vz3RZsGitTU6cwyjGSFH1ym31vpiGV83rM4rFN/2lS18fcgyRd48RksjaJPuaebKrb2uT483JPx6Gxt1WoQnRYucYMMvWp7PI1TVxc2OPkZgfgJEq5v5wtdVv5aNcnlPrLyDRkcGrmyWQZMhvu30J0dRU+F+WBMt4pfI/tnh04tA5mpk9nsHVQzHaQqk/ivB6zuH3Vo0RoPJspWeuQAXVCdCF7ns3fKXyPTXWbsaqtTE07llGOkaTuc33INWaQaUhlV4zBCx31GUAIIUTbKfWV8mXJNyxyLSIcDTPCMZwTM04gWZWEVqtNdHhdnkKhYKxzFB/s+pza/WY3qhVqTs6ciU6lw6jWM9YxhF+qVjX5jNOypuPQWNorZNHNKaItWCtr1qxZ7Ny5k+eff55Ro0ahUChYsmQJV1xxBTk5OXzwwQdtEWtC1dTUYLPZcLvdWK3WRIcj2smm2s08sP4hwvst2zjQOoBL8i4kVZ8KQJmvgk11O3h5+/uU+itRK9RMSB7J73KOJ0lnpTZYzs76lVQHi8k0DCBVn49dm5GIn9QtSHvteNa61/G3DY802TNmhH045+ae3aiTo7WV+CrYULOV/+78kHK/C41CzcSUMZyZfRzphmRCkSA1wTKKPGupDu6il/lYPilZwHflCwlGQyRrnZyXewZD7AMxqWVPm9Ym7bVzKPaW8d8dH7LItYJwNEKmIZWL8k4l35RFiu7gBtnsaWuFntW4AoVkGPqSquuFQ5fZqrFWBar4tmwB7+/6sEndBT3O40jHOExaU6t+Z3ch7bVzWeJayhObn2pSfnTyBE7OnEVyjME/FX4Xhd4yXtj2Njs9u1CiYLRzCBf0OLnJHubuQCmuQBE76ldgUjnoaRmFSeVErza32W8SB0/aq2jOWvd6/rbh4YN6No/3DJBnzCR1v+tIdaCUqkDh7uuC2km+eRRmtRO9Sq4LzekI7fW45N+TPyibpxfcmZDvF4m1vOIZVle9yNSsJ8gwjkl0OB1aR2iviVLqK+XvG+ZR5m88IMWkNnHHgL+QYUiPc2bXVxd04QlXs7lmESGC9DaPxaxOxqpt/b6uaDRKsa+Ul7b/j1XutUSJ0suUx6X555JrzEat3D3XrNRXwcfF8/mydCG+sB+7xsoZ2dMZ7RhCmqHtJgEIsa8WzXz897//zUUXXcTYsWPRaDQAhEIhZsyYwXPPPdeqAQqRKOX+Cl4reKNJ4hFgbc06qgLVDcnHVH0yqfpk8k05BCJB1AoVZrURs9pAoWc17xTMJRQNNJxv06RxZu59OHXZ7fZ7hEiUMl8Zr+58vUnnBsDy6hXMyjyBVNou+ZiuTyZdn0wfSx6BSBCNQo1ZbcSmtRCJRCj1bebNnbcTiHgA+LniLQbbZ/Dg0NsBFXqlDofO3mbxCdEZZBhSuTT/DM7OPYFQNIxOqSHDkHrQ50ciIUp8m3hr5+0EIt6GcrM6ibNy/0qyvkerxeoN+/i4+NOYdW8VvsMg60BMSPJRdG0lvlL+u/P1mHXfVfzA9PRpMeuSdU6SdU5u7f97/JEASoUSo0rfZKWA6kAx7xXcR5l/70oB88uUnJh1M/mmUZKAFKIDK/OV8+rO1w762fxgnwGqA8W8W3Av5f5tDWXzS3+7LphHSQJSCCE6uVXuNU0SjwD1oXq+Kv2a07JOwaTpfu9ZtYEKllZ9wC+VbzaULap4nb6WCRybdgVW7cG/Nx8MhUJBpiGda/tcQV2onmg0ilFtwLrfbMY0fTJnZM9ketpEQtEQGoWaZK0dnVq2ExLtp0XJx5SUFD755BM2btzI+vXriUajDBgwgL59+7Z2fEIkTCASYEvdlrj1K92r6Gdt/N985n4vYS5/Ee8V3tco8QjgDpbyZcmTnJh5MyZN/P3ohOgK/JEABd7CuPVra9bRy9yzzePYv30CuEMlvFd4b0PiESBCiJXVH1PqW8+p2Xdh1drbPDYhOgOnzoYTW4vOdQfLeK/g3kaJR4C6UCWf7HqEU3Jux6ppnUEIVYEqQtHYe8p6w17q9lueRoiuyBv24gq44tZvr99OjjH+ILh0Q/z2GAh7WFT+v0aJR4AoET4qeohLez0jyUchOjB/xH/Iz+YHegYIhD38VP6/RolH2Pe68LQkH4XowBQKRaJDEB1cdaCapVXL4tavqF7J1LQp3TL5WBXc1SjxuMfG2h/oZR7DEO30Nvlek9p4wNW5rBoT1m74/4noOFqUfNyjb9++knAUXZYSJSqFKuaSqyPsQ8g1ZuMNejBo4l/oqwJFjZIa+9pRvwJvuEaSj6LLUylUKFAQJfYq34ZW2ujaG6ynNuxGoQCL2olepT/gOfWhKupDVTHrSn1b8IZrsbbhrEwhOgqXv5RwNIxGocN+kMuoHoq6UCWecHXMuhLfRnzh2lZLPmqUmmbrVQpVq3yPEB2JL+yjNuQiGgWLyopa0fxr3sHcI+OpC1WxtubbmHVRImyvW0aSLqfFny+EaFsqhbJFz+YV/mKi0Sh6lQHLfu+w9aEq1jV7XVhBki738AIXQgiRMCqFGp0y/p6OOpUO5QGS2IFwAHewgihRTCobJk3nGZTiD/vwhT2oFCrMmr2DcQJhH8urPo573tKqD+hhHolVI8uciu6pxcnHwsJCPvjgA3bu3Ekg0HhW1yOPPHLYgQmRaHqlgTGOUSxy/QKASWVidq+LKfCsZanrfX6pDDHINpYJyceToo+9X5Un7G72O/afESlEV6RX6hhmG8IK98omdQoUDLD2P+zvKPft4seKT1nt/gWlQslIx9GMcU4mSdf8ngP+cOzBAXuEov7Djk2IjqzSX0ahdzPzy96nOlhBpj6PaelnYtUk4WzF/Sl8kfpm60OR1rsfWtUWLGoztTFmOKbqUmTvVtHlVPhL+KXya1ZU/0CUCENsR3Bk0nGMsI9gefXyJsdrFBqyDVkt/r4I4WafYeviDOoRQnQMeqWeYfahrKj+tUmdAgUDLP0alVX6S1lXs5SfKj/HG66nl2kQx6adjlVjx6Tevd9Z+ADXBU9YrgtCCNGZWTRmJqUew/IY9w6ASSkTSdOnxT2/0l/CYtd8lld9RzgaZrBtDOOTjyc1Tn9qRxGOhKgIlPBVyZtsrl+NSWVlUupJ9LOMwKKxE44G8YZr4p7vC9cSiQbbMWIhOpYWJR+//vprTjrpJPLz89mwYQODBw9m+/btRKNRRo4c2doxCpEQDp2NU7NOYXPdVioCFVySfy5flrxMmX/vEjU/VX7OKvcirux1T8wEZKou/lKSRpUNnVKmvouuz6lz8rvcs9ixvoCqYOOOhwt6nIdB2fLZF7A78fjPLXOp2aez85uyd1jlXsQl+beS3EwC0qZJAxQQY+S3RqHHoOpeG8iL7qXKX8FPFZ/zXcUHDWWb6layefMqLsi7EYvC3rC39+FyaDKI19a0SiN6laVJeUvZ1Db+0Ov3PLrx8UbLr+qUOn7f8/JmX4qF6GwqfMX8e9v9VARKGsp+qPiEVe5FXNHzLjbXbaY2VNtQp0DB5T0vOaxVBzQKPcm6HlT4d8SszzMNb/FnCyHanlPn5Hc5Z7KjfmeMZ/NzG10fKv0lvFv4HBvr9nY2/+peyNqaJVzZ+56G5KNGoSdJl0ulf2fM78w1DmuDXyKEaC3RaOyZ0ELsK1OfwRHOsQ2TNPboY+7NcPvwuOdV+It5cdtDjfpTF1Z+zkr3z1zZ6+64Ezo6ghLfTv6x+TbCv71X1odqeKPgKYbajuSU7MsxKs3km0ays35FzPNzDEMwKKVfSXRfypacdOutt3LjjTeyevVq9Ho9b7/9NgUFBRxzzDGceeaZrRpgKBTi9ttvJz8/H4PBQM+ePbnnnnuIRPZujh6NRpk7dy6ZmZkYDAYmTZrEmjVrGn2O3+/nmmuuITk5GZPJxEknnURhYfx9DoQASDekcVP/G7i299UEI7WNbpR71IXcLKz8HG+w6awOo8pGL/O4mJ89IfVCbJrW3XRYiI4q05DBLQP+xCV5FzHGMZppaVO5e9CdDLMPxalztvhzfWEPP1d+3SjxuEe5fxebapvOttyXQW1lsG1qzLojkn+HRd36y08K0VEEoj6+r/ioSXmUKO8XvYA7UtFq36VXWRhkPTZm3ZGt3NYMGgM5hh7cM/guTs6cxWjHKM7IPp27B91BjiH+HndCdEbrapc1Sjzu4Q66WFH9PXcPvIPzc89ljGM0M9OP497Bd9HP3Bf7YexnbNOmMint8ph1afre2LUZLf5sIUT7iP9sPqzRs7k76GqUeNwjGA3wSfF/qQrsflawaVOZlBr7upCu7yPXBSE6Ddn7UcSXqk/l9OxTuaX/TRyVNJ4jnGO5vs+1XNHzMlL18VfN2VK3Jk5/ajWLKr/AE2x+RapE8YRqea/o+YbE475Wun/CHahEqVTS1zIek6rpllpqhY5xyWeiU8vEE9F9tWjm47p163jttdd2f4BajdfrxWw2c88993DyySdz5ZVXtlqADz74IM888wwvvfQSgwYNYsmSJVxyySXYbDauu+46AB566CEeeeQRXnzxRfr27ct9993HtGnT2LBhAxbL7pH0c+bM4cMPP+T1118nKSmJG2+8kRNPPJGlS5eiUsnePyK+dH0aFpWR1wo+iXvMWvdixifNwLDfJr4WbTJT068kuboHK1yf4I/UYddkMCH1AnKMQ1EqD2vbVSE6lXR9Oun6dCYkj0fdSv/t1wbdrK1ZHLd+ZfVCBlhHY9fGTnCa1HYmpJyPQ5vJEtd7eMNuLOoUjkw5h57m0WgOY08sITq6Eu9OokRi1rmDlXjDzS+VeijMGicT0i7Eoctkqet9vOEarJpUxiefS755VKu3NZvWjA0zp2WfQigSarVrjhAdSZW/nFXuRXHrV1UvYqTjaKalT2Fy6jGt2g7S9X04M/c+5pc+R7l/OxqFjkH2qYxNOgObVmYXC9EZHMyz+Rp3/OfszXWrCEb2blGQYejLGbn3Mr/0eSrkuiCEEF1Sqj6VVH0qA6z9CYfDB+xTrwlWsbL6p7j1a2oWc0TSdIyajrc1hjfsYYdnY9z6jXUryDLm49BlcXbe//Fd2Utsrl1ElAi5xqFMSrsCm7b5rYCE6Opa9AZqMpnw+3c/ZGZmZrJlyxYGDRoEQEVF642SB/jpp584+eSTOeGEEwDIy8vjtddeY8mSJcDuWY/z5s3jtttu47TTTgPgpZdeIi0tjVdffZXZs2fjdrt5/vnnefnll5k6dfcMl1deeYWcnBy++uorZsyY0aoxi65HoVCgVsRfek6t1BBvhJhNm8b45PMZaptBhBAqhRa73HxEN9aanZ8KxZ72F++7NKgVzT8MW7WpjE06nf7WY4gQRIUGu05GZ4uur7m2A6CkdQdn2TSpjEs6kwG2SUSi7Xc/lMSj6KoUCtUBnk+1KH5b6Ka124FRbSPfPAqnNodQ1I8SJSZ1EloZtCNEp9Pc9UGj1MatUynUKPZ5BzaqbfQ0jyZJm9twXTCqnegOY5lnIYQQHdfBTOZRokStiH+fUSu0je4lHYlCoUCJkkicAbsaha7hfyfpcjku/Tq8qZcQJYpOacKsafkqX0J0FS1advWII47gxx9/BOCEE07gxhtv5K9//SuXXnopRxxxRKsGOGHCBL7++ms2btw90uDXX3/lhx9+4Pjjjwdg27ZtlJSUMH369IZzdDodxxxzDAsXLgRg6dKlBIPBRsdkZmYyePDghmP25/f7qampafSP6L6MajNjnbGXZgQY4zwWhzr+EgMapQaHLpMkXa4kHtuAtNfuK1mXwRhn7KUcAcY5p2LW2A74OSqlBocuY3cblcRjm5L22nGk6rLQKGJ3Kmboe6BXtf7oU5VSg0Mr98POQtprx2bXOhnrnBK3fozzWJJ0bTvbyKZNJUmXg0OXJYnHBJP2KtrCEFvsLUQAhtqOxKBqupTcvtcFSTzGJu1ViM5D2uvhMWtsjE1qrj91MvZm+lMTyaSyMMg2Nm59X8vwRn8bNFacumySdDmSeBTiNy1KPj7yyCOMG7f7IXTu3LlMmzaN//3vf/To0YPnn3++VQP885//zDnnnEP//v3RaDSMGDGCOXPmcM455wBQUrJ7j5O0tMYv1mlpaQ11JSUlaLVaHA5H3GP298ADD2Cz2Rr+ycnJadXfJTqfNH02g6xNbzpZhp4MsR2BWi0zKxJF2mv3NtA6ihxj7yblAywjyTDktX9AolnSXjsOndLI6dl/aDLSVKc0cHr2H9o8aSE6PmmvHV+OsRf99uv4AOhh7Etfy7D2D0gkjLRX0Rb0KhOTUk5pUm7XJDM17YyDGuQnmpL2KkTnIe318KXrcxloHdOkPNvQi8G2sR22P1WnMjAz4zys6qb7OR6fcT5Wtb39gxKik1FEo9FoooNozuuvv85NN93E3/72NwYNGsSKFSuYM2cOjzzyCBdddBELFy7kqKOOYteuXWRk7J2tcsUVV1BQUMBnn33Gq6++yiWXXNKwVOwe06ZNo1evXjzzzDNNvtfv9zc6vqamhpycHNxuN1arte1+sOjQKv2llPt3sdj1DaFokBH2iWQbe5Gsk9kbiSTtVVT4SyjybmV51fcoFUrGOKeQqsskSdpmhyPttWOpDlTgCdfxc+VXuAKl5Br7Msw+HovKiUEjsxW6O2mvnUOFv4QyXyFLqr4lEo0w0nEMWYY8uQd2M9JeRVup9JdSE3KxqOJLvOE6+ltH0dcylGRZLaTFOmJ7PS759+QPyubpBXcm5PtFYi2veIbVVS8yNesfZBhHJzqcDqUjttfOqNJfQrm/mF9cXxOJhhlhn0iWsWen6E+tCpSzoWYFa2sWY1E7ODJ5BknaNAzqprP/hRCNHdbQgqVLl7Ju3ToUCgUDBw5kxIgRrRVXg5tuuolbbrmFs88+G4AhQ4awY8cOHnjgAS666CLS03dfpEpKSholH8vKyhpmQ6anpxMIBKiqqmo0+7GsrIzx48fH/F6dTodOp4tZJ7qvJF0aSbo08owDiBKWG00HIe1VJOvSSdal09c8DAVK9GpJmnRU0l47Frs2GTvJnJhxEYGID53C0GFHnor2J+21c9hzD+xlGkSEiDyfdlPSXkVb2fMOnGXoRSgSwKg2JzqkTk/aqxCdh7TX1pGkSydJl94p+1Md2hSOSJ7GaOckFAolKsWB97oUQuzWomVXy8rKOPbYYxkzZgzXXnstf/zjHxk1ahRTpkyhvLy8VQP0eDwolY3DVKlURCK7N3vNz88nPT2dL7/8sqE+EAiwYMGChsTiqFGj0Gg0jY4pLi5m9erVcZOPQjRHr9Z3qhulEN2FQW2SxKMQLaBRaTBpLJJ4FKIT06kN8nwqhGgzWqVWEo9CCCEOS2fuT1UrNZJ4FOIQtSj5eM0111BTU8OaNWtwuVxUVVWxevVqampquPbaa1s1wFmzZvHXv/6Vjz/+mO3bt/Puu+/yyCOPcOqppwKgUCiYM2cO999/P++++y6rV6/m4osvxmg0cu655wJgs9m47LLLuPHGG/n6669Zvnw5559/PkOGDGHq1Pib3gohhBBCCCGEEEIIIYQQQgghDl6Lhrd/9tlnfPXVVwwYMKChbODAgTz55JNMnz691YIDeOKJJ7jjjju46qqrKCsrIzMzk9mzZ3PnnXvXob/55pvxer1cddVVVFVVMW7cOL744gssFkvDMY8++ihqtZqzzjoLr9fLlClTePHFF1GpZMRCd1XsrcQT9rG5dhdWjZFsQwo2tQmrrnOOwBGisyv0lFPhd1Pqc5FlSMGptZBpTE50WEJ0WkWeCqoCtRR5y0nVO0jV2ckypjQ5rtxfTYnXRaXfTZYxhWSdDYfWEuMThRDtpchTTkWghmJvJVmGZJJ0VjINck8UQrSeYq+L2lA92+qKcWgtZBiSSNZYZM9nIbq1aKIDEKJbqfS7qQ/52FZfQigaopc5C6NKS6remejQhGgVLUo+RiIRNBpNk3KNRtOwHGprsVgszJs3j3nz5sU9RqFQMHfuXObOnRv3GL1ezxNPPMETTzzRqvGJzqnE6+LZLR/xXfmvDWVGlY47Bl1EP0U2Nq0sJyNEe9peV8ztq56n2OdqKMs3ZXDX4IvIMaYmMDIhOqdCTzl3r36JrfW7GsrS9A7+OuRy8s1798jeXlfCn3/9JxUBd0PZAEsudw6+iFS9AyFE+9tRX8odq56nyFvRUJZrTOWeIZfKPVEI0SqKvS7mbXiTJVUbGsosaiP3DLmEnuYszGp9AqMTQrQ3hUKR6BCE6HZKvFUsrVrPExvfIRgNA6BAwVk5k5iVNZ4MQ1KCIxTi8LVo2dVjjz2W6667jl279nZoFRUVcf311zNlypRWC06ItuANB/iyZEmjxCOAJ+znzlXPUx2sT1BkQnRPRZ4K5q55qVHiEWBbfTGPbHiTYm9lgiITonMq9bqYt/GtRolHgFJfFXetfoFCz+79uSt81dyy8tlGiUeAdbU7eWrT+9SHfO0WsxBit13eSu5b859GiUeAnZ4yHlz3mtwThRCHze2v562C+Y0SjwC1IQ+3rXwOl98d+0QhhBBCtBp3sJZHNrzZkHgEiBLlfwXfsqWuKIGRCdF6WpR8/Mc//kFtbS15eXn06tWL3r17k5+fT21tLY8//nhrxyhEq6r0V/Nu0fcx64LRMItd69s5IiG6t9qQhwJPWcy6ldVb8Ib97RyREJ1bfdjH8qpNMeuKvBXU/DbIptRfTbm/OuZxP1asojpQ11YhCiHiqAt52FpfHLNuXc0OGRQghDhs7nA9nxX/ErPOE/azqVY6PIUQQoi2VB/08n7Rj3Hr/7dzPiVeV9x6ITqLFi27mpOTw7Jly/jyyy9Zv3490WiUgQMHMnXq1NaOT4hWF42Cu5nZjbtkRLkQ7aom6Gm23huS5KMQh8IbDjRbv+ce6PLXxD0mQhRfpPnPEUK0Ps8B7nkyIEcIcbhCkVCz9/hin7wPd1ey8qYQQrQPXzhAqa8qbn2Fv5pgJNSOEQnRNlqUfNxj2rRpTJs2reHvdevWccIJJ7B169bDDkyItqJUKMk1prIzzkyrwba89g1IiG4uWWeNW6dWqDBrDO0YjRCdn1ltQKNQNVq+ZV979nLMMibH/Qy9SotJJfs9CdHe7BoTChREiTapUyqUWDTGBEQlhOhKtEoNyVpbk2XX9+hnyWnniIQQiRaNNn3uEEK0HYvGwEBrD1ZUb45Z38eSjV6la+eohGh9LVp2NZ5AIMCOHTta8yOFaHVZxmQuzp8Zsy5ZZ6OvvGwJ0a5MKj1HJA2MWXdcxlgsakk+CnEozGoDx2ccEbNurLM/pt9eYpxaK0PsPWMe97ucySRpLW0WoxAiNqNKz8TkITHrpqaNxKSSe6IQ4vCkax2cnzctZl22IYVMQ1I7RySE6Dhk+qsQ7UGr0jI1fTR6lbZJnVKh5LweU0nR2xIQmRCtq1WTj0J0Fn0tOdzY73c4NOaGsmH2Xjw0bDbZxpQERiZE95NmcPLHPqcyI30MaoUKAJ1Sw2nZEzk791icOnngEuJQJOmsnJk7iTNyjkGn1AC7ZxFPSx/NtX1PJ/23TkW71sxtA87n2NQRKBW7HwkNKh0X5R/HrKzxaFSahP0GIbqrVIOD3/eexfEZ49D8dk/UKjWcnHkUF+bNkE4IIcRhU6vVjHH258reJ2NR755NrUDBWGd/7ht6GVnyPiyEEEK0uSSdjb8Pu5Je5syGsgx9EvcNuQxnMyuECdGZHNayq0J0VhkGJ07NcIba86kP+dEo1ZhUOtIMzkSHJkS3lGFI4vKeJ/C73Mn4wgEMKh12jQmr1nzgk4UQTWQYkjgvdwonZByBN+xHr9JhUeubJPNT9HZu6H8Wl/SciT8cxKDSkaS1olHJI6IQiZJhSOLS/JmckTMJ32/t16ox4pDZyEKIVpJucHJC5ljGJg3AG/KjVaoxqvWk/bY0uxBCCCHallmtZ4CtB3cPvoT6kI8IEYwqvUyKEV2K9CyJbkun1pGtTk10GEKI3zh1VhndJUQrsmrNB5XAN6h0GAyyn4QQHYlDZ8Uh90QhRBsyqAzkGmUpZyGEECKRMmS5c9GFHVLy0eFwoFDEX/87FAoddkBCtNSO2kqiKFAoovQwy4VbiIO1s85FJAooomTrbajVMi5FCNFUbdBHpa8eFKBRqMgy2RMdkhBdxvY6F0QBBeSZZSUOIURTBXVVhKMRANKMFgwx9okSQgghROsrqK8mHAkDkKKzYNLKPViIg3FIPczz5s1rozCEaLmC+ioWlW3nmQ0/UlBfRZ7ZyVX9JzI6OZds6RgVIq7C+mrWVZfw2NoFbKwpI91g5dI+RzAloy85ZllySQixV0F9Fa9uWcqb25dTG/QxOjmXPw2eQqbBRppRloIUoqUK6qpY7irkyXXfs62ukhyTndl9j+LI1Hy5FwshACiqr2ZHnYuH13zDqqpiknQmzus1mpNzh5BjkuuEEEII0VZK6qsp8Nbw8OqvWV5ZiE1r4Oz8UZyZP1zuwUIchENKPl500UWH9OGvvfYaJ510EiaT6ZDOE+JglXtqeWPbcv654ceGsu11Lm5e8j5zBk7inJ4jcejkvz8h9ucJ+fmxdCt3LP+4oazEW8P9K79gU00ZV/WfKLOahBAA7Kyr4vpf3mZVVXFD2eKKnZy74EVeOfoiST4K0UIufx0fF67hkTXfNpQV1Fdz+/KPuaLveC7sPYY0gyy9KkR3t85dylU/vdHwd6W/nsfXLmClq4g7hx1HtgxUEEIIIdrEtvoqLvn+v0SIAlAd8PLMhh9YUrGDB0efLIMFhTgAZVt++OzZsyktLW3LrxDdXE3Iz783LYpZ98yGH6gKeNs5IiE6h1JvHY+s+SZm3VvbV1AfCrRzREKIjmpnnatR4nGPcDTKQ6u+orCuKgFRCdH5VQd8PL3+h5h1L25aRF3Q384RCSE6mh21Lh5Y+WXMuvklm+V9VwghhGgjO+tc/N/KLxsSj/taUllAibcmAVEJ0bm0afIxGm3aOIVoTZX+OoK/rbm9P184hMvvaeeIhOgcaoK+uJ0VUWBLbUX7BiSE6LAWlGyOW7fcVUggGvs+LIRoXpXfizccjFkXjEYo99W1c0RCiI7GEw5QUB9/kM/Syp3tGI0QQgjRffjDYda540+q+rFsWztGI0Tn1KbJRyHamlbV/MrBOuUhrSwsRLehVaqarbdodO0UiRCio7NpDXHr9Co1ShTtGI0QXYdW1fy9WKfStFMkQoiOSqNUNXufbe4eLYQQQoiWUykVaBTxUyc2jb4doxGic5Lko+jUbBoDaYbYe03lmBxYtZJAESIWs1rHYHtGzDqLRkeW0d6+AQkhOqxpWf3i1p2cOxS7dHwK0SJWtZ4eZmfMulS9WdqWEAKTWsvR6b1i1mkUSoY5sto5IiGEEKJ7sKr1HJc9MGadApiQ1rN9AxKiE5Lko+jUsnQW5o09HeN+I8PNah2PjD2VHuakBEUmRMeWY3Zw/6hZOHXGRuUapYp5407HqTElKDIhREdjVuv4y9DpTcp7W1K4ou+R2Pe7jgghDk4Pi5OHx5zSZLUBg0rDvHGnk623JigyIURHkWG0ccvQaWQabY3KlSh4cMzJmNQy2FYIIYRoC8kGM9cMOIa8/QYLKoB7R56IUe7BQhyQrEkpOjWtVks/ewrvHHs535duYUNNGQNt6YxPzSfDYDvwBwjRjfW3p/HaMRezuGInK1yF5JmdTMnoi0NjwKaX5SOEELtlmexMy+zHuJQefFK4liq/h2PSe9PXlkpunFlbQoiD08eSypuTL+Wnsu2sqS6mjzWFY9J7k6Qxo9HIsqtCCOhpSealCeezsqqIn8q3k2mwMj1rAHatntQ4qwAJIYQQ4vDlWZz8a/w5rHWX8GPpVpL0JmZmD8Su0ZNulH5nIQ6kTZOPPXr0kJdm0ebMaj1mq56e1uREhyJEp5NvSSLfksRZ+SMSHYoQogPLMtnJAgbY0xMdihBdikGjoacmmZ4WeY4VQsTXw+Kkh8XJrNwhiQ5FCNGlRRMdgBAdzp578Mw4S7AKIeI7rOTj0qVLWbduHQqFggEDBjBy5MhG9atXrz6s4IQQQgghhBBCCCGEEEK0DYVCkegQhBBCdEEtSj6WlZVx9tlnM3/+fOx2O9FoFLfbzeTJk3n99ddJSUlp7TiFEEIIIYQQQgghhBBCCCGEEB2csiUnXXPNNdTU1LBmzRpcLhdVVVWsXr2ampoarr322taOUQghhBBCCCGEEEII0UaisuKmEEIIIVpRi2Y+fvbZZ3z11VcMGDCgoWzgwIE8+eSTTJ8+vdWCE0IIIYQQQgghhBBCCCGEEEJ0Hi2a+RiJRNBoNE3KNRoNkUjksIMSQgghhBBCCCGEEEII0baiMu1VCCFEG2hR8vHYY4/luuuuY9euXQ1lRUVFXH/99UyZMqXVghNCCCGEEEIIIYQQQgghhBBCdB4tSj7+4x//oLa2lry8PHr16kXv3r3Jz8+ntraWJ554orVjpKioiPPPP5+kpCSMRiPDhw9n6dKlDfXRaJS5c+eSmZmJwWBg0qRJrFmzptFn+P1+rrnmGpKTkzGZTJx00kkUFha2eqxCCCGEEEIIIYQQQgghhBBCdFct2vMxJyeHZcuW8eWXX7J+/Xqi0SgDBw5k6tSprR0fVVVVHHXUUUyePJlPP/2U1NRUtmzZgt1ubzjmoYce4pFHHuHFF1+kb9++3HfffUybNo0NGzZgsVgAmDNnDh9++CGvv/46SUlJ3HjjjZx44oksXboUlUrV6nELIYQQQgghhBBCCCGEEEII0d20KPm4x7Rp05g2bVprxRLTgw8+SE5ODi+88EJDWV5eXsP/jkajzJs3j9tuu43TTjsNgJdeeom0tDReffVVZs+ejdvt5vnnn+fll19uSJC+8sor5OTk8NVXXzFjxow2/Q1CCCGEEEIIIYQQQgghhBBCdActSj4+/vjjMcsVCgV6vZ7evXtz9NFHt8qMwg8++IAZM2Zw5plnsmDBArKysrjqqqu44oorANi2bRslJSVMnz694RydTscxxxzDwoULmT17NkuXLiUYDDY6JjMzk8GDB7Nw4cKYyUe/34/f72/4u6am5rB/ixCibUh7FaLzkPYqROch7VWIzkPaqxCdh7RXIToPaa9CCNFyLUo+Pvroo5SXl+PxeHA4HESjUaqrqzEajZjNZsrKyujZsyfffvstOTk5hxXg1q1befrpp7nhhhv4y1/+wi+//MK1116LTqfjwgsvpKSkBIC0tLRG56WlpbFjxw4ASkpK0Gq1OByOJsfsOX9/DzzwAHffffdhxS6EaB/SXoXoPKS9CtF5SHsVovOQ9ipE5yHtVYjOQ9qrEEK0nLIlJ91///2MGTOGTZs2UVlZicvlYuPGjYwbN47HHnuMnTt3kp6ezvXXX3/YAUYiEUaOHMn999/PiBEjmD17NldccQVPP/10o+MUCkWjv6PRaJOy/TV3zK233orb7W74p6Cg4PB+iGjW9hoXa12lbKwup6jOnehwRCfT3dprcX0Nm6orWOsqZXuNK9HhCHFIult77WjcPi9b3JWscZWyxV1J3T6jeIXYn7TXlttZU826qjI2VJVRUFud6HBENyDttePwh0JsdVey1lXKFncFFZ66RIckOhhpr0J0HtJexcEqrKtmY3U566rK2FlbddDnVXu97HBVs63SRWW9pw0jFKL9tWjm4+23387bb79Nr169Gsp69+7N3//+d04//XS2bt3KQw89xOmnn37YAWZkZDBw4MBGZQMGDODtt98GID09Hdg9uzEjI6PhmLKysobZkOnp6QQCAaqqqhrNfiwrK2P8+PExv1en06HT6Q47ftG8ktpaNtSUc8/SL9n6WxLlyLQezB0zjb72lARHJzqL7tRet9W4+OvSb/h212Yi0ShZJiu3jJjMcGcm2VZ7osMT4oC6U3vtaApqq3lpwxJe27wCTyiIWaPlwr6jOLv3cHIs9kSHJzogaa+HrtrnYUuti7sWf8EaVykAw5MymTtmGr3MTsx6fYIjFF2VtNeOoaC2mq+LNvOPVT9S6fegVao4sccArh06gR4Wx4E/QHQL0l6F6DykvYoDCQaDbKyt5K7FX7C0vAiAfvYU5o6ZRk9bMql6U8zzotEomytc3PXJVywp3AVA35Qk7j1+KoPS09CqD387OyESrUUzH4uLiwmFQk3KQ6FQwzKmmZmZ1NbWHl50wFFHHcWGDRsalW3cuJEePXoAkJ+fT3p6Ol9++WVDfSAQYMGCBQ2JxVGjRqHRaBodU1xczOrVq+MmH0X72OVzc+n8NxoSjwA/le7gvK9eZZvM6BKike01Li755g2+LtpEJBoFoKi+hmt+eJ/1NeUJjk4I0ZHtqnPz6MrveH79YjyhIAB1wQBPrfmJZ9f+TGnd4T+zCSGg1FvPuV++2pB4BFhRuYtzv3qVEr/MfhKiK/MGAnxVuIm7l3xJpX/3zIVAJMw721Zzw48fHtIsCCGEEEJ0Djs9NZzz5asNiUeADdXlXPj165R74r9nF7prOPul/zUkHgE2lldy/stvssMlzwyia2hR8nHy5MnMnj2b5cuXN5QtX76cK6+8kmOPPRaAVatWkZ+ff9gBXn/99SxatIj777+fzZs38+qrr/Lss89y9dVXA7uXW50zZw73338/7777LqtXr+biiy/GaDRy7rnnAmCz2bjsssu48cYb+frrr1m+fDnnn38+Q4YMYerUqYcdo2iZojo3D//6XUMSZV8VPg/fFW9LQFRCdFwbqsvZURf7AeRvy+ezo0YeToQQsdWFAry3bU3Mutc3r6A2JMuvCnG4qrwe/r3uFwKRcJM6TyjIa5tWUBvwJSAyIUR7KPbW8sTqH2PWLasoosInS6kJIYQQXUkgHObD7WupDTZ9nw5GIjy5+ifKYiQgI9Eon67dQG2MbVCCkQhP//gLnkCwTWIWoj21KPn4/PPP43Q6GTVqVMP089GjR+N0Onn++ecBMJvNPPzww4cd4JgxY3j33Xd57bXXGDx4MPfeey/z5s3jvPPOazjm5ptvZs6cOVx11VWMHj2aoqIivvjiCywWS8Mxjz76KKeccgpnnXUWRx11FEajkQ8//BCVSqYwJ4o/HOLXiuK49YtKdhCIMcNWiO5qUenOuHUb3RWEopF2jEYI0ZlUeOtpOtRnt1A0QlXA267xCNEVuQM+llYUxa1fVl6E2yfJRyG6qvpQkCp//Pvp2n1mRAshhBCi86vye/ilLP4+oL9W7KI+FGhS7g0G+WFr/D6+pYW7qA/IAGHR+R3yno/RaBS/38/7779PQUEBGzZsIBqN0r9/f/r169dw3OTJk1styBNPPJETTzwxbr1CoWDu3LnMnTs37jF6vZ4nnniCJ554otXiEodHqVCQYjBRX9v0IgyQbrSgVbdoW1IhuqQskzVunVWrR6lQtGM0QojOxKxpfp8So1rTTpEI0XVpVWpSDCa21FTGrE8xmDBIWxOiy9Kr1KgUCsIxVvYBSDOa2zkiIYQQQrQlk1pDajP39xSDCbWy6cQnnUpFhrWZ88xGNDJhSnQBhzzzMRqN0qdPH4qKiujXrx8nnXQSJ598cqPEoxAHI8/q5NL+Y2LWKYAzeg1t34CE6OAmZfVCrYh92T6vz3CS9cZ2jkgI0VlYtXp6Wp0x6wY707EcIDkphDiwTLOVyweMjVt/Sf8xJBlN7RiREKI92TRaZuTE7hexavX0siW3c0RCCCGEaEtmrZ4L+o6MW3/ZgLHkmO1NytUqFReMGRH3vNnjx2I3GFojRCES6pCTj0qlkj59+lBZGXtErxCHYlJmL2b1GNioTK1Q8sARM3Fo9AmKSoiOyaYx8OTRp6Ldb9TUhPQ8zuk9AotW2owQIrY8q4MnJ55KmqHx6Mosk41Hxs8i1+JIUGRCdC19bSlc3r9xAlIBzBk6gRyTLTFBCSHaRarJys3DJzHImdao3KLR8dykM0jRSieiEKKji7dRgxAinlSDmVtHTm6yGtm5vYczPCkz7nk9HDbunNH0vAvHDGdUdvzzhOhMWrSm5UMPPcRNN93E008/zeDBg1s7JtGN5Fjs3DT8GGYPGsfiskLMGi0jkrMwqjRkmOMvMSlEd5RiNDGCTD454TJWu0pw+TyMSMnCqTWSY7EnOjwhRAfX35HKa9POY0dtFVtrKuljSybHbCcvzoxIIcShy7HYubDfKM7oNYTFZYUolQpGp2RjVGrJtkjyUYiurofVwZMTTqXUW8tqVymZJit9bcmk6IxY9JJ8FEJ0TArZwkWIFssx2zkxdwCTs3qztKyQQCTM2NQczBot2TFmPe5h0es5behAju6Zx4pdxQTDYUZkZZJsNmLVy+QC0TW0KPl4/vnn4/F4GDZsGFqtFsN+04BdLlerBCe6hz1Jk0HO9MQGIkQnkGI0k4KZXrakRIcihOiE8q1O8q1OJmX1SnQoQnRZe55t+zlSExuIECIhelgd9LA6GJuWm+hQhBBCCNEOMs27Bxn2OcQl1o1aLblOLblOextEJUTitSj5OG/evFYOQwghhBBCCCGEEEIIIYQQQgjR2bUo+XjRRRe1dhxCCCGEEEIIIYQQQggh2lE0Kns9CiGEaH0tSj7uy+v1EgwGG5VZrbJXX3dSWl1LvS9AMBRGr9XQI9WR6JCE6FIqazzUeHz4QyEMWg0ZditarSrRYQkhOjiPz0eZ24MvGEKnVuMw67GbjYkOS4gup6jCjTcQJEoUg1ZLdrLs7ShEV1TsqsEbCBIMRzBqNeSk2BMdkhBCtDLZ+1GIRAuFQhS5avEGgmjVKsx6Hal2c6LDEqJFWpR8rK+v589//jNvvPEGlZWVTerD4fBhByY6hx1lVTz63nd8t3obkWiUdIeFa2YdxYiemWQmSceLEIeroKKaf366iM+XbSQYCuMwG7hs+lgmDeklnZtCiLiKKtx8+Mta/jt/ObVeP3qNmlOOHMT5k0fJtUOIVlLn87G9tJr/e/MbVu8oBaB/diq3nDmZvBQ7dosk+4XoKjYXV/DgW/NZvLEAgNwUOzefPok+mcmkOSwJjk6I1iGz34QQIrGKKt0s21zEEx/9SFl1HSqlgmMG9+K6kyfIZB/RKSlbctLNN9/MN998w1NPPYVOp+O5557j7rvvJjMzk//85z+tHaPooArKq7nmmfeYv2orkd8eUkuqarntP5+xtqAswdEJ0fkVVlRzx38+56Nf1hEM7R7UUVXn5e/vLODblZup8wYSHKEQoiOqqvHwv+9/5ZlPF1Hr9QPgC4Z4/btfeeTd79hV6U5whEJ0DWXV9Vzx+FsNiUeA9YVl/P6Jt6io9SQwMiFEa9pRVsXvn3i7IfEIsLO8mmv++R7FVbUJjEwIIYQQXcmq7SXc8crnlFXXARCORPlm5WbmPPsBBeXViQ1OiBZoUfLxww8/5KmnnuKMM85ArVYzceJEbr/9du6//37++9//tnaMooPaUlLJzjgXvn989KNcFIU4TK5aLyu27YpZ99znv1BRU9fOEQkhOoNqj4/Xv1sRs+6blZup9wdj1gkhDl6dx8/bP67CG2jangKhMP+dv4zqOklACtEVLFq/A1eMAQXRKDz58UKKXTUJiEoIIYQQXcnOsiqe/OjHmHXbSl3sKKtq54iEOHwtSj66XC7y8/OB3fs7ulwuACZMmMB3333XetGJDm35lqK4ddtLqwjK8rtCHJaNu8rj1rk9PrySQBBCxOD2+AiE4t+DpZNUiMPn9nj5Nc4AIYCV20qolRUKhOj0QqEIizcVxq1fs6Ok2XuuEEIIIcTBCIQjFFTEX6Uo3uQEITqyFiUfe/bsyfbt2wEYOHAgb7zxBrB7RqTdbm+t2EQHl97M3hZmvRaVskX/eQkhfpNqi7+htEqpQKtp0ba9QoguzqjTNFtvM+nbKRIhui69VkOyxRS3PslqRKNWtWNEQoi2oFYrSbPHfyZPtppQKBTtGJEQrU/2ehRCiMRTK5XNvss31w8vREfVouzQJZdcwq+//grArbfe2rD345w5c7jppptaNUDRsQSDISKR3Q+mR/TrEbdT5bTxg0kyG9szNCE6vX3bF0CPVAdWoy7msZOH9MJiiF0nhOjeTDotw3tmxqzLdFpxmAztHFHiRKNRgsGQdKqJuIKhMOFI5JDPS7KaOHfyiLj1508eKR0EQnQRs8YNJF5+8dxJI8hNsbdrPK0tGAwRDh/6dVB0PZJIF0KIxAiHIzjMek4eNyhmvVatYlTv7HaOSojD16JpM9dff33D/548eTLr169nyZIl9O7dm6FDh7ZacKJjCIcjlJTXMH/hBn5dU0hutpMTpw7BatHxyGUnctO/P8YXDDUcP7ZvDr87ejjmOEkTIcRekUiUkjI3C37ayPLVBeRkOThx2lDSU2ykWsw8PvsUrnnmPWq9/oZz+mWncN3JE0ltZhS2EKL7ykq2MffcaVz7z/cb7c2cZDHyyBWzyE11JC64dhIIhigpq+HTb1azZXs5A/tmMPXoAaSnWFHLbDQBlFfWsnp9EZ/PX4vRoOWU44aTm+3Ebj34wXNZSTb+MPMI/vnZIvbNb180ZRS9MpLaIGohRCLYTQbuOmca973+NaF9BiscN7IfEwflJzCyw1NS5mbRsm0sXLyF1GQLJx83nIxUK2ZZIUEIIYRoF1XV9WwvqOS9z1Zw7Fgb500ewaZd5SzZvHerM71GzcOXz8LWjQYRi65DET2EoeDffPMNf/zjH1m0aBFWq7VRndvtZvz48TzzzDNMnDix1QNNtJqaGmw2G263u8lv7+o2bS3l6r+8hte3d385pVLBvTefzKABmdT6/KwrLKOq1suQvHQcZiPZybYERiy6u87UXjdvK+Pqv7yGZ599oRQKuOemkxg/uhfhcJTSmlq2FFdSUlVL/5xUUu1mcpLtiQtaiFbUmdprZ7OzvIpiVy2bd1WQk2KnR6qDHt0g8RgKR1i+aic33ft2o5kcWq2ax+79HYP7xZ4VKg6sq7TXsooa/nTPW2zbWdmofNb0ofz+vInYbQefgNzlcuP1B1mxdReRKAzvmYlRpyErSZ6FRWJ1lfbaUZRW11DvC7J6Rwn1vgAjemZhMWjJ6qTP5IW7qrjq1lepcnsalc+5Ygozjx2M0aBNUGTdU6LbazQaZWbKbPIHZfP0gjvb/ftF4i2veIbVVS8yNesJMoxjEh1Oh5bo9iq6jqrqeub962u++XFDQ9lr/ziHqM5MVZ2X1TtKSLIY6ZuVgsOkx26RFQZF53NIMx/nzZvHFVdcEfPiarPZmD17No888kiXTD52V67qeu6d90mjxCPsnq1176Mf8/ITl5CX5iQvzZmgCIXovKrc9dz32CeNEo8A0SjcN+8TXv7HpWSk2sgzSBsTQhy63BQHuSkOxvXLTXQo7arSVcfchz9ssoRcIBDi7oc/5On/O49kp8wc767C4TAffLGySeIR4MMvVnLClCGHlHzMdO5OMvbKSG61GIUQHU+afXcfSM/0zj+rua7ez+P//qZJ4hHgsee+ZtyIPIwGefcQoisoqf8WtdJMskESikJ0NJu3lzdKPAKc88fXgN1JyHOOGS7LYYtO75D2fPz111857rjj4tZPnz6dpUuXHnZQouOoqfWybWdFzDqfP0hRSXX7BiREF1JT62PL9vKYdf5AiMJdVe0ckRBCdH6VVfXU1Ppi1pWU1VBd07SzVXQfrmovH325Mm79h1/8KnuECiG6tJo6L4uWbo1ZF43C8jUF7RyREKKtLC69jp+KL0t0GEKI/fgDId7+eFnc+lv+7/OYg4SE6GwOKflYWlqKRqOJW69Wqykvj92RLjqncLj5zpdAINRsvRAivv1n5ezPL+1LCCEOWSgcbrb+QNde0dVFm72/en1BJPcohOjKIpFos9c5n0/eQYQQQoi2FI00/04SCIRlQKToEg4p+ZiVlcWqVavi1q9cuZKMjIzDDkp0HFaLniSHKWadUqkgN0uWYxGipSxmPSlJsZf+UyoV5OV0/mWdhBCJVV3jobyiFld1faJDaTcpTgtajSpmndmkw26VvTK6M6tZz9FH9Ilbf9zkwSiVsryREKKpcDhMhauWsopavPttm9CZmI06+vZMjVs/ckj3Wq5dCLEvSXYI0R70eg0zJw+OWz95Qj+sFkM7RiRE2zikPR+PP/547rzzTmbOnIler29U5/V6ueuuuzjxxBNbNUCRWMlOM3/6wzSKd67ghBNmUVcfwGjQUltbxcffbsZhlw48IVpqd/uaTtH2ZRx//CzqPQH0OjX19W4++GoTjkPYc0oI0T0EgiFCwTAqlQp3rRe9Th3zpaS2zse6zSX88+Xv2L6zgow0G5ecfRSjhuZ2+eSb025k9gVH88S/v21SN+eKqSQ7Yw+qEt2DTqfh/NOP4LtFm/jgxSupcntRq1XotQrm3PU2fZrpkBdCdE2+QICaWj9GnQazWR/zmLKKWt7/bAUffPErPn+II0f35LJzjiIrw4FadUhjuhPObjNy4x+mcdWtrzVZDWD6MQNlX2QhhBCiHQwfkkNedhL/+vu51HuDRCJgs+g444p/ccqMYWjUsQfUCtGZKKKHMIe3tLSUkSNHolKp+OMf/0i/fv1QKBSsW7eOJ598knA4zLJly0hLS2vLmBOipqYGm82G2+3GarUmOpx2E4lEcbtrqa4N8PHXq9iwuYT0VBunHT8Ch92AxWTAZNQlOkwhGuks7TUSiVJX56Gy2sun36xm3aZi0lOsnHr8SJx2I2aTHrNJ2pfo2jpLe020mlofBbtc9MlPpqS8lm9/3MCSlTuxWw2cNnME6ak2MtJswO6ZGZ/PX8sDT3zW5HMuPPMIzj9tHAaDtr1/QruqqfWyfnMJz7/6I7tKq8nLSeLycyfQKy8Fsyl2x7I4sK7SXj0eD5XVPhav2M6Cnzah16mZNX0Y+bnJ6LQqkp2WRIcoxGHrKu21LdXV+aioquOTb9awblMxqckWTj9+BE6HmfSUvf/Oyitruemet9iyo6LR+XqdhucevoAe2Z1vtZJAIERBcRUvvPYjv64txG4zcu6pYxk3Mh+nXQbptLdEt9doNMrMlNnkD8rm6QV3tvv3i7bz4dahAMzqGX+/a4DlFc+wuupFpmY9ToZxbHuE1mklur2KrqO8ohZ/MMTm7eV89OVKQqEIUyf2Z9igHOwWNRaLvJOIzu+QZj6mpaWxcOFCrrzySm699daGtYcVCgUzZszgqaee6pKJx+4sGAxQUFzDDXPf3LsW9ZpCPvt2Dbf8cQbjhudJ8lGIFgoGA+woqub6u95otNb7Z/PXcvPVMxg3sockH4UQ1NX7ePfTZZwyYxCFxW6uvf1/uGu9DfXzF27kgjPGMWvaMDLSbFS46mPO+gP479s/c/yUIWR18eSj1WJg7Ih8+vVOJxAIoddpsMSZzSK6F58viMvt56Z73qaopLqhfOGSrUwe35ffn3904oITQrSrHUUu5tz5Bj5/sKHsi/lrueEP05g4uifJybs7lTdsLmmSeATw+YO8+L+f+PPVM9DrNe0Wd2vQatX06pHCX647nnqPH7VKiUOSjkIIIUS78QdDPPrPr/hlxfaGsqUrd9CzRzL333IKen0IjeaQUjdCdDiHvD5Ijx49+OSTT6ioqODnn39m0aJFVFRU8Mknn5CXl9cGIYpEKnd5ePDJz2NugvvIs19T7wvGOEsIcTDKXR4eeip2+5r37Fd4vfE3nxZCdB+VVfU89+qPeP3w9H8WNEo87vHyWz9T7/EDu2f91dX7Y35WOBKlpMzdpvF2JDaLgZQkiyQeRYNAKMg7nyxvlHjc49uFGymtqCESkf2OhOjqdpVU87envmiUeNzj8ef2vudGIlG+/G5d3M9ZuGQLtfW+NouzrRkNWlKSLJJ4FEIIIdqRzxdky/byRonHPbbuqODrH9YTDIbbPzAhWlmLNydwOByMGTOGsWPH4nA4WjMm0YF4PAF2Frli1gUCIQqLq9s3ICG6EK83wPaCyph1gWA4btsTQnQvS37dAYAvEOLnZdviHvfz8t11qgPsDaHXda7ZGUK0JneNj6+aSSR88s1qotFI3HohRNdQ7w2wZUd5zLpQKNIw01GpVDS7EonRoEWhULRJjEII0X5k4JUQ7cnnD/LJ16vi1n/27Roqqz3tGJEQbaNT7Yz+wAMPoFAomDNnTkNZNBpl7ty5ZGZmYjAYmDRpEmvWrGl0nt/v55prriE5ORmTycRJJ51EYWFhO0ffedTWe/F6d8+YCB9g5HcoJKMwROcW8AcJh9vnv+O6ej++QKDh7wO1r2BIOj+FEHDS9CF89MrVWM06kp3muMftuWbYLQZ6ZDtjHmMx65v9DCFaU8AfJBLpWPeyKBAKx4+pV24y3kAIX4xVCYQQnYvH46eurulqAcABZzjv+547a/qwuMedetxwHDZjywIUQogORwZTCNEeotEooWb6/Ha/rxx4UIDHF6DWG3vVo0PVnv2jovvoNAsHL168mGeffZahQ4c2Kn/ooYd45JFHePHFF+nbty/33Xcf06ZNY8OGDQ0bs86ZM4cPP/yQ119/naSkJG688UZOPPFEli5dikrV/OyA7qSgtIoNO8v49Of1qJRKTjpqEHkZTnIyHRTsqmpyvEqlJC87KQGRCnH4SneWs/SLlSx8/xccaXZmXTmdjJ5pWByt3ylfUFbNr5uK+HrZJgxaNadMHEJmsg2zUUt6qpWSspom56iUCnr2SG71WIQQncvO0iqWbShk/orNWAw6bv3TCfg9QW69950mxx4xIg8Ap8PEXTfO4prbXqPes3fAg0at4r4/n0ySJB9FGwqHw5Rur+D7t39i5YK15PTLYublx5LWIwW9KfHL31pMOiaO7c0n36xuVJ6fk8TtfzqRtTtKuf1fn2A26Dj16CGkOy1kpdgTE6wQokUKy6ooLHfz/ver8QdDTB3dl8E9M8hN27tik8moJTPdzq4YSzArlQr69kxt+Dszzca5p47h1XcXNzquX+80Zk4ZjErVqcZ0CyGEECLBHHYTU48eEHPZVYBJR/YlyR5/cFNhWTU7Sqv44IfVhMIRZoztz4AeqeSkHfrqlKU7yln65a/8+N5ikjLszLpyBhk90zDLkuyiFXSK5GNdXR3nnXce//rXv7jvvvsayqPRKPPmzeO2227jtNNOA+Cll14iLS2NV199ldmzZ+N2u3n++ed5+eWXmTp1KgCvvPIKOTk5fPXVV8yYMSMhv6mjKSyr5vbnPmXNtpKGsm+WbWLi0J48cMdpXHj1v5uMDr3ozCMwGLTtHaoQh23XllJuOOZOKnftXdb0s39/w6X3n8tJV07HZGu9G2xhWTU3PPEe24r3ftcXizcya/xArjjpSG74/VRuuf/dJu3r/DOOwCBLIwrRre0sreKaee9QVL53j8ZPf17P744dzr23nswdD7zfUD5t4gBsVkPD3716pPDCoxexaNk2fl1bSO+8VCYd2Ze0VCtq6SQVbWjbqp3ccPSdeOt274H2y6fLeffxT7j9jRs44sSRaLSJvbc5bCbOPW0sC5dsobpm94worVbN3FtO4oYnP6CwrLrh2M9+a2/nTBtJtiQghegUCsuqeOb9n/js5/UNZd/9upXe2cn8/aqTyE61A5Cd4eCG30/lz/e93WQ1knNPGYNBv/daZbUYOO+0cRw7oT+ffL2auno/044ZQO+8VFlNQAghhBAtMnRAFr3zU9m8raxReUqSmVnTh2I0xh64WVhWzbw3FzB/+ZaGsgUrtjCgRxoPzD6h4VnnYOzaUsINR99JZfHeSUefPv8NVzx4PifMnobJKqs7iMPTKZKPV199NSeccAJTp05tlHzctm0bJSUlTJ8+vaFMp9NxzDHHsHDhQmbPns3SpUsJBoONjsnMzGTw4MEsXLgwbvLR7/fj9++dtlxT03RmUlfy3a9bGyUe9/h+5VZOmjCIFx+9iH+9+gObtpWRnmLlnFPGkt8jidRkSwKiFaKxQ2mv3jofL9z+aqPE4x7//surHHXy2FZLPnp8Pt5esLJR4nGPDxeu5cSjBtGvZwr/fOh8/vPmIjZtKyUt2co5p44hPzeFtBRrq8QhREfS3e6vLVVdU88rny9plHjc43/frGDGuP70yktBo1ZxxokjGdI/i4w0e8MxSqWCjDQ7p84cwakzR7Rj5KIrOdT2WlXm5sEL/9GQeNwjEonw4AWP8/zaeaT1SGmTWA9Fj+wknnzgXN79dDkLl2zlgjPG8fo3KxolHvf43zcrOO6IAZJ8FB2e3F93K6qoaZR43GNzYQUfLVzLRTNHY9DtHkCb3yOFZx46n5ffWsTGraWkJFk455Qx9M5LJS3F1uh8q8WA1WKgX6/0dvkdomuT9ipE5yHtVbSVrAwH9/35ZBb8tJFPv15NKBzmmCP7csLUIeRkxt5GBWDrrspGicc91u0o5Ztlmzl36nDU6gOnfLx1Xp6/9dVGicc9/vXnVzjypNGSfBSHrcMnH19//XWWLVvG4sWLm9SVlOxOlqWlpTUqT0tLY8eOHQ3HaLVaHA5Hk2P2nB/LAw88wN1333244XcKhaVVfPDj6rj17yxYxV0XT+f62dPweQNoNCrSU21xjxeivR1Ke62prOX7t3+OW//Lp8vIHZDVKnFVVHv45Ke1ces/+nEtd106A6fTyg2zp+L1BtBo1aRL0lF0Yd3p/no4arwBPo3RebrHF4s38OjdZ+L1BcncJ+koRGs61PZaU1HL9tU7Y9b5vQGKNhV3iOQjQG6Wk0vPPorTjh9BVKXgoXcXxD3285/XM6RnRjtGJ8Shk/sr+PxB3v9+Vdz6jxauYea4/vTI2N2hl5pkJjXJzPVXTMHrC6LWqMiQ91zRDjpqe41GD7y/mBDdTUdtr6JryEq3c9askRx9RB+i0SgpTgt6ffyVYtx1Xt5t5lnngx9XM2lEr0ZLzcf9rIpafng3fv/o4s9/Jadf6/SPiu6rQ6+7VVBQwHXXXccrr7yCXh9/jxiFovGGyNFotEnZ/g50zK233orb7W74p6Cg4NCC70Qi0SiBYChufSAUIhKNkOI0k5PllMSj6HAOpb1GI1HCofgbKPv32R/tcEVR4A/G/y5fMNiwwXTynvYliUfRxXWn++vhCjR3rQqEcNhMkngUbepQ22skHGm2PuALtmZ4h81i1jeMKvY30958gY4VtxCxyP0VwuFIs8/egVAYYnQBJCdZyMlySuJRtBtpr0J0HtJeRVtTq9VkZzjIyXQ2m3gECEcizffhB0MHPZAkGok2+/7m9/jj1glxsDp08nHp0qWUlZUxatQo1Go1arWaBQsW8Pjjj6NWqxtmPO4/g7GsrKyhLj09nUAgQFVVVdxjYtHpdFit1kb/dFXJVgPHDO8Vt37q6L6kOrvu7xed36G0V5PNyJCJ/ePWj5k5vNXiMhs0TByaH7d++ph+qNUd+jIsRKvrTvfXw6HXqDhqcF7c+mNH9mm/YES3dajt1eI0kxRniSClUtlqKwu0Nr1WzYQheXHrp4zq237BCNFCcn8Fk1HH9DH94tZPHNYTq0HbjhEJEZu0VyE6D2mvoiNxWk1Ma+ZZ55jhvXFYDm4rKZPdyKDx8T9rzIxhhxyfEPvr0L3eU6ZMYdWqVaxYsaLhn9GjR3PeeeexYsUKevbsSXp6Ol9++WXDOYFAgAULFjB+/HgARo0ahUajaXRMcXExq1evbjimuzMaDZx69FCSYuxz1yPNwREDeyQgKiHahsVp5qrHLkWjazqa6KhTxpKam9xq35VkM3PJCeMwG3RN6gbmpdE7u/W+SwjRtaQ6rVx5ylEYYlyrRvbJIkdmZ4gOKCnTwZxnroi5usg5t56KvYP+d5vqsPCHU47CGKO9jeiTRU6qvf2DEkK0yMC8NPrlNF3e2WbSc8H0UThs5gREJYQQ7WtL3XZKfeWJDkMI0QZG9csmP6PpgE+n1cgZk4ZiNTXtg4zF6rRw9eOXotE23ZVv4ulHkJIjfZbi8HXoPR8tFguDBw9uVGYymUhKSmoonzNnDvfffz99+vShT58+3H///RiNRs4991wAbDYbl112GTfeeCNJSUk4nU7+9Kc/MWTIEKZOndruv6mjyk1z8OxNZ/K/b1bwzdJNqFRKjj9iACdNGCwdLqLL6TEwh6eXPsgr977Fim9WY02ycMaNsxh3wkjsKa3bMZput/LCrWfz8udL+HHVNvQ6DScfNYjp4/qTnWJv1e8SQnQtGckWXvzLObz46S/8vHYnJr2WU48eypRRvcmS64fogBQKBcMmDebxn+7nxTteZ/PybaTmJnP+HWcw6Kj+GC2GRIcYV3qSmRf+cg4vfrqYn9fu2Ke99SGrlZ8NhBBtJyfNwYNXzuKTRev4aOEa/IEQE4b15ILpo8lMksSjEKJ7uH31/QCcm5rgQIQQrS4n1cEj15zCRz+u4eOf1hIKR5g8ojdnTx1Bj/TYq9DEkzc4l6eXPsQr9/3WP5ps5cw/zWLszJHYkmWWrzh8HTr5eDBuvvlmvF4vV111FVVVVYwbN44vvvgCi8XScMyjjz6KWq3mrLPOwuv1MmXKFF588UVUKlUCI+94eqQ7uXLWOH537HAUQJLNhCnGjC0hOjuNVk2PgTnc8NyV1Fd7UGlUONpoNobRqCHfmMQ1Z0zkopljQLE7IanTdfrLrxCijZkNesxZeuaccTR1vgBKICPZilot1w/RcRnMevqP7c3tb9yAr86HRqfuFC+uFoMBS5aBOWcdTZ3Hj1KhICPJIu1NiE4oO9XOxceN4bhx/YhGwWbUYbce3BJkQgghhBAdXU6qnYtPGMPxRw4AwGkxYDEd+kBPjVZNj0Ht0z8quqdO9zY9f/78Rn8rFArmzp3L3Llz456j1+t54okneOKJJ9o2uC7AYjFhOci1oYXo7AwmPQaTvl2+y2Ex4rAY2+W7hBBdS5LdTFKigxDiEJltRsy2znffS7KaSJIkhRCdnlarJjft0Eb/CyGEEEJ0Fgat9pBnOsb9rHbsHxXdS4fe81EIIYQQQgghhBBCCCGEEEII0XlI8lEIIYQQQgghhBBCCCG6tWiiAxBCCNGFSPJRCCGEEEIIIYQQQgghuiVFogMQQgjRBXW6PR9Fx1RZXkPQH8buMKE3aRMdjhAdjt8fwlVRg1qlIiVdNm8WQrRMZVktAX8AW5IJo1H2ZBCiNVWUugmGwjiTreh08pokRHsqK6kmEo6SnGZBrZb2J4QQQgjRVZSVuImEIqRnOxIdimhn8lQvDktJoYsdW8p4/7VF1Lq9DB/Xi+mnjCA9y45Go0l0eEJ0CEU7Kvnui9X8NH8der2G488YQ78h2WRkt87G0EKIrq+kyEXB1gree/Unaqo9DB2dz3GnjSIpzY7RKPdbIQ5HcaGLTWt38fGbv+D1BBg7sR+TZg4hu0dyokMTossrLnCxZsUOPntnKaFgmAnTBnHk5AFk5SYlOjQhhBBCCHEYdhW4WLNsB5+9u5RwKMzE6YM5clJ/MuU5r9uQ5KNosZLCKv737+/59O0lDWWb1u7i07eX8Ld/X0Z+n7QERidEx1C0o4I/X/ECFaU1DWUrl2xn7NF9+cPNx5OZIzdcIUTzSoqqePeVn3j/1UUNZZvW7uLTd3bfb3v1y0hgdEJ0bsWFLp575DN+/HpdQ9nG1UV88tZiHnruUrLzJAEpRFvZtbOSeXe/x8ol2xvK1q8q5JO3FnPfkxdKx5QQQrQb2etRCNG6dhW4ePSud1i1dEdD2Z7nvHv/cYE853UTsudjN1RY5GLN2iJ+XryFbdvLKS11t+hzatyeRonHPepqvLzw+BdUtPBzhejsXG4POwsq2bSphPdf+7lR4nGPX77bSHGBKwHRCSE6gj3XiWXLd7BsxQ4KClxUV9fHPLa+1tco8biHp87Pcw9/RllxdRtHK0TnEQiEKClxU1xczZatZfy8eAvrNxRTtKsq5vFlu6obJR73cJXX8sYL3+GuqmvrkIXotrZsKGmUeNxj104XX7y/DG99oFF5ScnBtWshhBAtJXs/CpFo9fV+CotcLF+xgw0bS/B4PBQWVbF+QzE/L97Clq1lFJdUJzrMA9q0tqhR4nGPoh2VfPXhCrzeQIyzRFcjMx+7mY2bSrjz3ncp/S0ZolDAsZMGcNnFR5ORbj+kz1o0f33cuiU/bMLnDR5OqEJ0SqWlbn5Zso2n/vkNV18xmfmfrox77NcfrWD4uJ6oVKp2jFAIkWjFpdUs/u064feHANDrNVx39VRGDMsjLc3a6PglP26K+1krftmGzyf3WyEA6ur8lJQUYDQl89g/vuCXJdsa6nJzkrj7jlPI228p1W+buU9//8Uafnfp0dgc5jaLWYjuqtbt4asPl8etn//pKqaeNIJs0+42u6u4mnlPfM7ipdsbjumRm8Tdt59CD1kiWQghhBBdgKuqnhf+8z0ff/or0Si88K9LKSv3cPdf32f7joqG40aPzOP6a2eQmWFPXLDNqHbV8/WHK+LWf/vpSo49cZhsc9ENyMzHbqSg0MXNt73RkHgEiEbh62/X8f5Hy6mr8zQ5x11VT1lxNX5/047NaDT+sgzRaPP1QnRVZRW1PPL45/j8QRSKve2gd/8MTvzdWI47bRTO5N2dmNJEhOheXBU1VJS7CYcjPPr4Fw2JRwCfL8iDD39KpavpLKtIs/fbqNxvhfjNzsJKHI40XvjP96xYuZObrj+Oxx46h7/OPRWfL8Btd71N4X4zpQ70PCuEaBvRKEQjzbS/fZYALK+o5V//XsCvqwr4840zefxv53DfnadQX+/njnvelRmQQgghhOj0wuEIn3+xio8++bXhPUStUnHnPe82SjwCLFm2ne9/2ICropaKstrD/u5IJIKn1ksgRv9/iygg0sxzHtEoCnnX6hZk5mM3sm17OW63N2bdhx+v4PgZQzGbjcDu/W/KStx88OZi3NUeho/OY9L0wY1GJBxxTH9e+9eCmJ83anwv9AZN6/8IITqwyspa/vfmzw1/L/11B1NPGsGgET0o3FnJsp+3otOpufi66dTVeMnNS5FZj0J0A7sKXGzeUMznHywnFIowafpg/vPsZcx94H22bmv8EvHWu4u5NmMqdrupoWzM+D689MRXMT976Jh89AZtm8YvRGfgqq6nyufDWKclLzeJ8x+7kM8/WMHX7ywjLd3G3becRK3XT2VlHdmZjobzJh03lM/fXRbzMydMHYjJomuvnyBEt2K1G5kyazi/fL8xZv3R04fg+G3AXn29n359Urno7CP5/IPlfPnWUtIy7dx728lU13ipqqona592LYQQQgjR2VS66nh9nz7FKZP7U1XloaCw8ZZNVouBx/92Dju3lvPwPe//1scwiKGj8sjKOfR9FEt2VvDD+0v5+bNfsadYOeXKqeT2zcDiMB345DjsDhNTZw2Pu4rT0TOGkJRijVknuhZJPnYjhUXx95fzeAIEg2Fgd+Lxs/eX8/qLPzTUr1q2g/f/9wsPPXMR+b3TALA5d19IvtpvGrXRrOOS66aTcojLuArR2fn9IXbts/faz0u28uxjF3Hbtf+luGjviOxfFm5m4pQBHHFMvwREKYRoT7sKXDzx4Ccs+3lLQ9mKxdvI65XKPQ+dxflXPNfo+KJd1Xi8Qez2vWVmm4GZp49uss+ywajlihuPI62DLrUiRHvxeAN8/PNaHnvze96/+2KGD8zhmgv/1TC7eDXw9aeruPbWE+g/LKfRuenZDsYe3ZdfvmucALE5TZx16dHYnZb2+hlCdDt9BmYxYFgO634taFSelmln5mmjMJn0AKjVSgb3zeKai/5FYE+7Xr6Trz9eyfW3zyI1zdbusQvRkQUDIT7855ec+PupaHUyKFwIITqDUDBMTa2v4e+TTxhBeUXTWY2PPXQO/3zkc5YuatrHcNfff0dmtvOgv7Nwcyk3HvcA7sq9KzB9//4Szr3pRE67ejpmm7GFvwb6Dsqi/5Bs1q8qbFSelmVn+ikj0ZtkEHV3IMuudiM981Pj1lmtBrTa3bloryfQKPG4R43by3OPf0nZb5vapmc5OP8Px3L7w2czdHQeeb3TOPncI5j38mwycmTNZtH9GI1a8vNSGv6+4Y8z+ODNxY0Sj3t8//U6Skvc7RmeECIBtm4qaZR43GP7ljK+/3otsy87plF5z7wUzPs9hKdnOfjdZRO589FzGTomn7zeacz63Tgee2U26dky00OIipp6Hn/rewAUkSiP3f9ho2WN93j675+h3W/FgYxsJ1f++QRuvv90Bg7PJb9PGr+77GgefuFycnumNPkMIUTrycxxctNfz+DaO0+m35BsevZL56I/TuX+f15MZu7ekfuKSJRH7/ugIfG4ryf/9ikapXRrCLGvnz9Zzj9veoWF7y858MFCCCE6BK1WTZJz717zL7z8HenpjQdYHTmuF4U7KholHvfYvqWM+V+sjvkeFIun1stzd77RKPG4x6t/+wjXb/3/LZWZm8TND5zJNbef1Pg575mLyco99BmaonOSmY/dSE6Wg7Q0a6M9H/c46/QxJCftvsAt+anpBWyPpYu24PPuXf85PdtBeraDfoOzCQZCWO0GzNaWj4oQojOz202cdfpY5n+3nkgkSs+8ZP754Cdxj//q418ZOrKHLL0qRBdVVVnH5x+siFv/1ce/8ue/nt7wt0ql5PRTR2GNcR9Nz3KSnuWkz6BMQoEwVrsBk8XQFmEL0ems2FzUsC+KxxNgx9bymMcFg2F2bisnJ6/xILmMbCcZ2U4GjexBOBTB6bTISFwh2klmjpPMHCcjj+xFNBLFmWJFp2vcTeGpD1C4ozLm+QF/iKICV5N2LUR35i7f3ecT8AUSHIkQQoiDlZRk5uILjuLhxz4HYPmvRdisBvr2SWfjphIAzjh1FO/956e4n/H1Jys5euogsg8iuVdbVc8vn6+MW7/kq9Xk9ss8xF/R2J7nvFHjexOJRElKbfqcJ7o2GSLYjWRlOXnw3jMZ0C+joUyrVXP2mWM5dtIADL/tGRUKheN+RjQK0WjTHWFT0m1k5iZJ4lF0e0lOE3ffcQpOpwmFQkE4FIl7bDAYRqFQtGN0Qoj2FI1Gmr2nhkIRFOy+BiQnmblv7mkkOZu/j6ak2cjIcUriUYh9hMN777WRSNPn1H2Fmrkvp2U4yMxJksSjEAmQnukgI9sZs0MqGonfbqH591chxIHF6uMRQgjRvhQKBROO6svllxzd8Dy0bVsJd9w6i5Ejeuw+BkWz7zOhUBgO8poejUabfXfasz1ba0jPcpCZE/s5T3Rt8v94N9OjRzK333oSHo8fnz+E1azHajVgt+/t7Bx9ZC9eeubbmOcPGpaDTi97BggRT3KyhSPsBh77+7lo1SrGT+rPF/vti7rHsccNQSnLRAnRZTmTrUw+bgjLft4as37ilAHYHAaeevwCLGY9aakWNBq5xwpxqIb3yWr43yaTjrRMO6W7qpscp1QpyO8dfxsCIUTHZDLrSUmzUh5jBR+VSkmuzHoUIqZDHegqA2MFSCJaiESy24ycedoYjp00gNpaH1qtGrNZz03Xz8TjCaDVqjj2uCExl10FmDhlIM4Uc8y6/ZlsRoZO6MfKHzbErB8zdXCLf4cQe0ivdzeUmWGnd680Bg/MIjc3qVHiEcBiNTJl5pAm5+l0amZfP4P0TNlfSojmqNVqsrOcpKbZOOvCo7DZm85kGjwiVzpKhOgGBg/LpVff9CblKWlWjjt5JCmpNgb0yyQ7yymJRyFaKMlm4uwpIwBIzbByzZ+PR6lq2oF69sUT0MtoWyE6nazcJK758wkolU3b9XmXH43eIO1aCCEOjySehegotFo1Gel2+vZJJ69HMnabkfQ0Gz3zU8jOcjJwaA69+8XvYzAa9Qf1PRa7iSv/7xx0hqarvkw79yiSpf9ftAJ5ShdNZGQ7uOD3kxg9vjfvvfYzbreHwcN7cMb5R5J0kKMnhBC75eQl88hzl/Dh20v45fuN6A1ajjtlJGPH9yYj25no8IQQbSwzx8nt/3cmP85fz5cfrSAUCjNh8gBmnDRCNlkXopVYjXouO3EcYwbk8vu/vcVDl83ksX9fxusv/sDmDSWkpFk58/zx5PVKJVVeooXolHr2SWPeb+16y8YS0tJtnHnBeHLyk0lNl3YtRCyynKoQQnQ9mTlObvu/M/nx2719DEf91sdwMHs97iu3XwZPfncn7zz5Bcu+XYs1ycKZ185g8Pi+WJ2SAxCHT5KP3VDprirq6/z4fUHMFj02pxGrzdTomIxsJxnZTgYMySYcimA267EnyUVHiINVtKOSulovCoUCs0XPJVcdy6zTR6NQKsjKkYSDEF1Njbset8tDXa0PnV6Dyawj7bckR2aOk1PPGcv4Y/oRjUZJSrZgMOkSHLEQXUdNtYe6qnpSlVruPGMykXCU3N6pXP2nmXi9u5cnSs2Q5IQQHdWunZXU1/kIh6NYrHqS0uzo9Y27KlLSbaSk27j65pn4PAE0GlXDfVYIEZssoyqEEB2fq7yWGreHSCSK1WYgKdV6wOt3ZvbuPoYjj+kPRElKsmCIsW99eYmb+jofXk8As1mPyabHmWRpqFepVWT3TucPD5xNnduLWqvC6pD+f9F6JPnYzRRsL2fe3PdZs3wHADqDhjMuPIppJ48gPavpLKyMGGVCiPgqy9xs3VjK4/d+QHmJG4C0TDvX3XkyPfulYXdaDvAJQojOpqTIxRfvLeftl3/E7w0CMGhED+bcdTI5+SnA7uWYZaajEK2vpKiKj99czAevLcLv293+ho3N55rbTyK7hyxvLkRHVlNTz84tFTx617sU7agEwJFk5spbjmfg0FyS021NzklOsbZ3mEII0Q3ILFkh2lsoFGbzul089Je32LXTBYAz2cx1d57CsDH56I1Nk4n7UqvVZOfG77ffVVDJMw99wuLvNxGNRtFoVMw4dRRnXDyB9KzGA7i0ei1OffPfJ0RLyJ6P3ciunZXcefXLDYlHAL83yH//OZ8fvlqL1xtIYHRCdA1VlfXcde1/GxKPAKW7qrnzj6/gKq9PYGRCiLbg9Qb44cu1vPrs/IbEI8Ca5Tu485pX2LWzMoHRCdG11db6+PrDFbz5wvcNiUeAX3/Zxj1zXpX2J0QHV11Rz21/eKkh8QhQVVnHAze/SWlxdeICE6KLkGVXxaGT2bJCtJfSXdXcfNm/GxKPAK6KOuZe918Ktpcf1meXFLp46Na3+OW7jQ33gmAwzEdv/MLb//kRt0v6J0X7kORjN1K0s5LiwqqYdW++8D2VpTXtHJEQXYvbVc/b//mRSDjSpC4UCvPeqwupqfYkIDIhRFupKK3hzRe/j1lXXOBiV4ErZp0Q4vBVV9bxzisLY9bt3FpOeak7Zp0QIvECgRBffrC80cCBPaLRKK8+O7/RYD4hhBBCiK4iHI7w5fvLCPhDTeqi0Sj/fWY+nnp/iz+/ptrD+lWFMes+e2cpbumbFO1Eko/dyNYNJXHr3FUeAoGmFzwhxMGrr/OxbWNp3PqtG0qpr/O1Y0RCiLYWDIRwV8V/cN+6obgdoxGie/F7A9TXxr+v7thc1o7RCCEORX2dj83r4t8jt28uxRcjMSmEEEII0dkF/CHWrSyIW79lQzFeT8tXKCwuij35CHb3YXjqpW9StA9JPnYjze01pTdo0WhU7RiNEF2P3qAhPcsetz4t037ANduFEJ2LRqtGb4jfrjNln0ch2oxOr0Gjjb+FfXq2I26dECKxjAYdmTnx9ylKzbCj1cr7qRBCCCG6Hq1WRU5eStz6tEwHOl3895wDSWpmj2ylUoGhmT4MIVqTJB+7sHp3PbsKKnGV715ONa9vGhabIeaxM08fhd1hbs/whOhyFAo47cKj4tafduFROJzSzoTozFxlbnYVVFJXvXuPBLvDxHGnjYp5rMVmIK93WnuGJ0S3UFfjZVdBJRabnqmzhsc8xpFkluS/EAlW46pjV0ElVRW1Tep0Bg0zTx+NUhl7f7GzLp1IWqYMIBBCCCFE16NSqzjxd2NRKJo+B112+1Duevwcat1eKstbtkWaM9lMRpxBXkdOHoDRrGtUFg6FqamsxVvnbdH3CRFPh08+PvDAA4wZMwaLxUJqaiqnnHIKGzZsaHRMNBpl7ty5ZGZmYjAYmDRpEmvWrGl0jN/v55prriE5ORmTycRJJ51EYWHstY87u7q6enZsLuWFJ77i/j+9zmN3v8eKn7dgtRu476kLSUq1NDr+qGMHcPK5R2Kxx05MCiGaV1xQyTcfreCvf/ofjiQzf/jz8Y1mYmh1aq65fRYpafFHHgkhOraqilo2rt7JvLnvc/+fXuelp75hx5YylEQ55dwjGX/sgEbHJ6VauO+pC0nLsiUoYiG6Hq/Xx86tZfz3mW+4/0+v8+R9H3DWpRMZO7Fvo+NS0m3c++QFZPdITlCkQnRvrlI3W9bv4rV/fcuCz1bx6r++Ze2KHZQVNd4H2eY0cdP9ZzRaQUClVnLBVceS3ye9vcMWotuLRqOJDkEIIbqN9EwHtz54ZqPnoHd+upUjRk/i9WcX8Nc/vcbDt73NzwvWU7LfM9SBZOYmcde8c8nMbZyAHDI6j8uvn0FKuh3Yfd0v3lrKf+5+g1tm3Mc9ZzzMsq9W4q5oWdJTiP21fP5uO1mwYAFXX301Y8aMIRQKcdtttzF9+nTWrl2LyWQC4KGHHuKRRx7hxRdfpG/fvtx3331MmzaNDRs2YLHsTrTNmTOHDz/8kNdff52kpCRuvPFGTjzxRJYuXYpK1fmXcwkEApQVVFGxq4rqilqye6Vx2vnjueu6V/h5wQZ+XrCBC6+eyglnj+Gh5y7FVVFHrdtDRrYTg1lHuowqFeKg1dZ6cZfVUFZQSW21h9y+6QwYksVTf/uIK06ax6Ov/oGn3riKksIqFApIy3JgNGlJSpUkhBCdTVmhC2+dj50bi9EbtVxxw3Rq3B5uvPh5vnhvKQ89fxn9huTw+5tmcv6Vx1JS6MJiM+JINkviQ4hWUrS1FFdpDZUl1WTmpTDrzLFs3VDM91+uZf3qIh58/nIuvmYqxYVV2BxGHEkWsnrIrEchEqW8zI3FrOeYaYMp2V7BkCFZ2K16qqvqUatVONN2PxOnpNkYOa4nT7z+B8p2uQkGQ2TmJmEwaklJk+dmIdpbrBk4Qggh2kZ9jYd181fypztOJBiOMmpSb0oK3Nx0yXON9rVf9tNmTvzdOM68ZCJpWQfff5/XO417n7wQt6ueqso60jLtmC160rP3JiQL1hdx7fjbqHd7GsqWfPErp885gfPuOAPLb6skVpfXUltdz65tZQT9IXL7ZWAw60jJjL+EvhDQCZKPn332WaO/X3jhBVJTU1m6dClHH3000WiUefPmcdttt3HaaacB8NJLL5GWlsarr77K7NmzcbvdPP/887z88stMnToVgFdeeYWcnBy++uorZsyY0eR7/X4/fr+/4e+amo6b8Q8EAmxfs4u5FzyJq8TdUD5q8kDueex8brzkOVwVdbzy9NccNW0QPXqlkiUdouI3kYiPSKQUv38RkXApWt141OpcVKrURId20Nqzvda769m6qpD7LnmG2qr6hvJjTh3NP17+Axef8CjXn/sMAFf8aSYzTh2F2SqzikXbiIRdhMPF+PzfoVBo0emOQaVKRansuLNsO9P9tWRHBe/+8ys+fO5bIpHdI8H1Jh03PXkJT71xFVed9RRPPfARtzx0FhnZuxMdPfvKTI3uIhJxEw6X4ffPh2gEnf5olMp0VKquM6CrI7TXbWsLufuCpyjZUdFQNmBMT2566lIeuuNt1v9ayKXHP8xTb/2Ro6YMbPf4ROcTDlcRiZTg930HKNHpJ/127+zcya6O0F4ByosrsZj0/N/vn2Pj8u0N5Rn5Kcx9+WoU6saLL9mcZmxOc7P7HglxMKJRP+FwCQH/z4TDJWh141Cr8zvke217tVeZyCjE4eso91eAaDRMOLyLQGAF4dA2NNrhaDR9UKkyEhaTaLmNS7fyzuOf887jn6MzaHlu1UM898hnjRKPe3z0v5857vTRh5R8BMjKTSIrzlYU9e56nrnxP40Sj3u8Pe9jjrvsWCwOMxW7Kln+3Qae+NN/CfiCAChVSs6+fibTzzmKdMkxiGZ0+GVX9+d2706uOZ27M+vbtm2jpKSE6dOnNxyj0+k45phjWLhwIQBLly4lGAw2OiYzM5PBgwc3HLO/Bx54AJvN1vBPTk5OW/2kw1ZWUMUdZz/eKPEIsPTbtbzx2Kf8/cUrAIhEomxYVZCIEEUHFYn48Pu/p6x0Iu7q66mt/T8qK07CVXkx4XBxosM7aO3ZXl3ltdx57hONEo8AC95dwpevLeSpt65qKHv7pR+odtW1WSyiewuHy3G776K8fBq1NfdS476D8rKjqa//D+FwdaLDi6sz3V9X/bSR95/9piHxCOCr9/PXy55FEY1iNmvZsKoQnyeYwChFIoTDVdTV/pPysmOocd9FTc3dlJdNobbm/wiHKw78AZ1Eottr0dbSJolHgHWLt/LsHW9yy/1nNZQtX7SlXWMTnVM4XEFtzf9RXjaFmpq7qam5i/KyY6irfYZwuCrR4R2WRLfXPSJhePLW1xolHgGKt5Vz78VP44nRwSXE4YpG/fj9P1JWejTV1XN+e689lcrKCwiHdiU6vCbaq73KREYhDl9Hub9GoxGCwZWUl02humo2tbX/h6vybCrKTyEU2pGQmETL+b0BPnrum0Z/+7whlv8U/53ml+82xK1riVpXPUs+XxG3fvFnu+uqyut45JqXGhKPAJFwhFf//jHb1nbNLe1E6+lUycdoNMoNN9zAhAkTGDx4MAAlJSUApKWlNTo2LS2toa6kpAStVovD4Yh7zP5uvfVW3G53wz8FBR03aVewsQR3ZewEx1dvLCLk33txkDX8xb4ikVKqXJcBoUblweAKamufIhLxxz6xg2nP9rrqx434PQGUSiXHnnUEp/5hKjl9d48y++C5b9Huu4yzNDfRhvz+H/B6325SXltzP+Fwx3356Cz31+qKGj769/yYdZFwhG/e/JmHX/5D+wYlOoxQaCN1dfOalHs8LxMMLGv/gNpIottrNArjpg8lOcb2AL98sRJfvW+fY+WmKw4sEFiKx/Nyk/K6uscIhTYmIKLWk+j2uoenxsvSr9cAMOiI3px21VTGTR8KQOHmUmpc9c2dLkSLhMOluCovBRoPCAsFV1FbO49IpOkskkTqKO1ViKbkeWp/HaW9hsMluCovIBqt26+8gOqqP3XoAcji4LX3O82e73uv9kU+C77OJ/5XmXDX7pxLNBKlvtbLR/+eHzeuz175AVeZO2adENAJll3d1x//+EdWrlzJDz/80KRu/7Xpo9HoAderb+4YnU6HTqdrebBtpGhLKdvXFbHyhw2kZjsZM20IepM27vFBf6hhZIJCoaD/kMYjdIq2lrL5152s/WULmXkpjJw8ELPTjCPZ0qa/Q3QMfv+P7J943MPreRWz+Q8olVntG1QLtHZ7DQaDlGyvZO3Pm9m6qoCeQ3MZOK4X6T2SKNpSymV3nsrIyYNY/OUqqstrufzO07CnWLnv0n8SCUcaPmfi9ME47MZWi0uIPcLhSurqnopbX1/3bzSOv6NQaNoxqoOT6Ptr4eZSNi7fxoZl28npk86wif1xpFow20wUby/HVVLNT5+sQK1RceX9Z1NRXMV9l/yzyefs2laOxaqn76AsDMb49+F9RaNRygpdrF+ylU0rdtBzcDaDxvUmJduJUtmpxoN1a5GIj/q6Z+PW19U9iUY7DpWqcy/hCO3TXkt2VuKp8bDw4+XU1/gYO30I6XlJeNw+fvxoGSqVkj/942KUKiV3nfck3rrdHciRSBSfZ+8gqRFH9G7TOEXnFw67qat7Mm59fd2zaDTDUCr17RhV60n0/XUPb72fYRP78ft7zmTbmkI2rdjB6CmDuOi2k3n3ma+oLm/75eqKd1RQ7/aw8KNl+DwBjpg5jOQsJ5mytGuXFQgsBgIx6zyeNzFbrkWpzG7foJrRUdqrEHvJNNl4Okp7DYcLiERcMesCgR+JRFyoVPb2DUq0mM6g5fhLJ7Hki5UNZVq9muHjerLi560xzxkzse8hfYffH6Bsp4sVC9ZSuLmU/qN70m9kPpk9dy9HbnaYeLv6eWorfKz+YTPLvl2LM83ORWddzpWX6aiv8uDz+CnZ2XRlH7PdyO/vOROVWsXb//gCq9PMuBlDMdmMpMQYOCq6r06TfLzmmmv44IMP+O6778jO3vvQmJ6+e2+lkpISMjL2rnFdVlbWMBsyPT2dQCBAVVVVo9mPZWVljB8/vp1+weEr3FzKHWc9RvG2soayf9/9Dre9+AdOv2oqbz/1VZNzLA4TOsPuTtGzf38Mev3ejuidG4r5yxmPUlG0d4khjU7N3Ff/SJ9heVidpjb8NaIjCIdjz/wFiEa9xEtMdnVbVxXyl9Me/X/27jpMquoN4Ph3aqdju9lduhsJQQQRC8XEwg6w9We32N3d3WKLiIoNNgrSvcv2zk7PxsTvj4WFYWaW2ub9PI+P7D333jkzu2fOuec9gdflbzxmshq4+6P/ccC0Uaz8ez0Xjr9t6wihp7+moF8Od7x3CUpVQwAhJd3KESeNwmiTciRaQLieULAqbnIoVE44XN8ug49tad3ShrJdXb6141NrSOD2dy8hJTuR5298j58/2zpr7e0Hv2DKWRO47Z2LuPH4xyLu1Xt4AUUbqzjv2inYUnZukMGG5cVcOeW+iGWbDWY9935yOd0H5e3huxOtp45gqCJuajBkJ14HqIhUsqGCHz78g5dund14rO8+3fjy1WW88+AXjcdmP/EVQyf05f5PruCCibcDkKDTYDA37Kl8+ImjMJravlNItHd1cTvtAEKhShrKbscMPrYXiSkWzp11HNcf83BEoFFn1HLrOxeTlGlr0dcvXl/BvDd+5q0HPm88NvvJeQzZvy8XPzidTAlAdkpNPddCLdvPiBRCbE9mPLZ3odCOlodvXzO8xY71Ht6NvqN7sHTBKgBMlgTOvvwQrjrjeXzeyJXoDj5mGGbLzk9uqK8PsPy3tdx0/KPU+hueTT9+5huSMqzc9eHl5PXOwmQzUry2nFunP86GZVuXKH/l9tlc/tSZDBjdA51JR8/B+fzz49YlXzUJaq566ixeuOX97a77kMufPIOB+/YiNTtptz4T0fm0+2H24XCYCy+8kNmzZ/Ptt99SUFAQkV5QUEBGRgbz5s1rPFZXV8f333/fGFgcNmwYGo0m4pySkhKWLFnSYYKPlSXVvHDLexGBR4BgIMhdZz3DpONjv49jLpiMMkHNHc+czkFHDiM9p6HwlxZW8fgVr0cEHqFhpuQdpz+N0+5umTci2hWtdnTcNLW6BwrF3jdrb9OaMu4669mIwCOAx+njrrOfQ6lS8uilr0YtObDuvyI+fGoeCrWS6ecfwD0vnEm2bLosWohCaUGr3TduulY3CYVC34o5av+K11fw4IUvRwQeAWp9dXz24nyW/LIqIvC4xWcvzIcwZHfbury70aJn1MGDsNiMpOfacFXueAk5e5mT209/Omq/WJ/bzy3Tn6CyxLF7b0y0OoXCiFY7MW66NmEcCoWlFXPUcbnt3ojAY2K6BVuqOSLwuMVf85fy788rmHT8KAAOOXUcCYYEbnn8FI4+ZQwZOfKAK5qmUFjQJoyLm56gnYBCIYPGmuL11lK0roL//lzPkt/XUbi2HJcjsl5TKOGhi16OmuFY463ljtOfRhGiRVWXOSMCj1v8/d1SFsxZ1LIvLtpMQsI+cdNUqoK98rlWiN0jMyDbK7W6W9w0hcIizx8dUHJmIje8eiFXPncuvYZ35d2HviQ9J5GH35zJ1JNHU9AznUH7dOWmh0/m+LP3p86wtXx6PDUUratg6V9b22RO+9YlecsL7dx26lONgcct7KVOHr74ZSqLq3GUN7SZtg0gQsMKMw+c/xI1vjp0ugQOPGEM2m1Wexp3xFC+n/177OsueLlxpRohoAMEHy+44AJef/113nzzTcxmM6WlpZSWluL3NwQGFAoFl156KXfeeScffvghS5Ys4fTTT8dgMHDSSScBYLVaOeuss7j88sv55ptv+Pvvv5k+fToDBgxg0qRJbfn2dprP5efXOf/ETKuvDbB2SSFHnDuxcRlZvUnLyVdOYf+jRqDVJzBsTI+IThm/28+/P8fe18TnrmHT6rLmfxOi3VGru6LW9I+ZZrHeikq1940M9jh9lG6IXlIAoMfgPH6ft5hQKPaowG/fWUi4Lsi0s8ZK4FG0KKXSgMl8MRA900epTEGnm7zDpcf3Nn53DasWxd4Lc+Kxo/j0uW9jpgF8/tL3HHvBgQB07Z/DXbP/R3KWhSpnEV+//gvJGbYdvr6zyk3Rqtij8is3VbfKMnSieSgUKgyGo1EobDHS9JhMZ6NUyiy8nfHNOwsifj7m/AOZ+9qPcc///MXvmHT8aI6aOYmjZkxCpVYxanxvMnOTWzqrohNQKrWYTOfEHJyjUNg2l2tVjCsFgL3MxT8/r+J/xz3OFcc/wZUnPsklRz3Kz18upmzT1hmlXpef1f9ujHkPZ6W7RfcFqq2tZ86rTX2HfE/RGnnO7YzU6jw0miEx0yzWWahU6THThBCio1AqU9DpD4+ZZrZchUqV0co5Es0hOSuRSSeN5Y6PruDA8w5g34efY13hMk6euT83PHgSl992NEPGFDDhuVdYuLahfVVZ7mTJr2u4fNrjXD6toU128ZGP8OOcxZRtnmRUvrESjyP2IOllv6/FXe3B7fTx3Qe/xjwnFAzx5/ylhEIhbKlG7nr/Urr0bFhxcuRBg/jho9+bvE6ILdr9sqtPPfUUAPvvv3/E8ZdeeonTTz8dgKuuugq/38/5559PdXU1I0eO5KuvvsJs3rpv4UMPPYRarWbatGn4/X4OOOAAXn75ZVSqjvGAWV8fjBvwgIZOzZMuO5RDpo+lzl+PwaLHnGyAINhSo0e/1Nc2vZzm9jMzROekUqWTnPQybvcj+HzvArWo1d2xWG8lIWFYW2evTWzZIzUWS6IRZ2X8WcG1/jpC4TAJCTu3/5sQe0Ktzicl9ROczhuor/sdUKLVHojVeiNqde4Or9/b1NXEXwZTo9PgdvjipnscXgaO7cUT829Ab9KRlGnhuG7/45jzJ3PkuRNRqXfclthRvbv9iETRvqlUuaSkfoLLeQu1tfOBMAkJY7DabkWl7tLW2eswnJWeiJ8NJh2uJtqg7movyZmJTLvkYMKhMEnpHX9fTdG6VOoupKR+itNxE3V1vwAKtNoJWKy3oFJJ3dmU6io3d1z0WsT+5n5vLY/e8AH3vDGT9M3La9U20ZYG8Drj17d7qr42gNvuiZvurvYSbuKZWnRcKlUaScnP43Y9hs/3NlCDSt0Vq3VWk7MihRCio1CpErFab0Wt7obX8wLhsBulKguL+Wp0+kkoFO2+i180wZxowmF3UBcIMuPbv+Db6FWZqrwNE7Hcdi+3X/AqwcDWNlmNr44nbp7NXa+dS3p2Ip4dtLfqagMolcom+ymcFS4UCnjr/jmcfvOR3PL6+fjcNag0qqava6LfVOx92v030/ZLG8aiUCi45ZZbuOWWW+Keo9PpeOyxx3jsscfintOe6fQJpHdJoSzGJq8AffbpjkqnRK1REagPoklQYzDoSNDFDoIYzDqsKea4Xwhd+8vD995Cpc7CYp2FyXwREEChMO6VMx63sKaYG8vR9hb9uJwZdxzP+4/NjXlt94Fd0CS0+69V0UkoFBoSEgaQnPwyoZALUKJUJqJUmto6a+2SKdGIwazH5/ZHpa1dUsjg/XpFLW2+xfAD+pOSbaPWW4+zyk3hijKe++VWktItcevZ7VmSTSToNDEHOKjUKgmidDAKhQKNpjuJSU8SCjmAMAqFFZXK1sY561hGHjyQ72b/1vjzX98tY58DB/Db3H9jnj9ovz4YTFr0Ri06g8wuFbtOoVCj0fQlMel5wmEnoECptKFUylJlTfG6/Xz+5oKIwOO23nn6W7LykknJsGGxGTGYdfjc0UtuKRQKMgvSWiyfJouefQ4ayK9xv0N6ozfJnp6dlUqVicV6Mybz+TQ81xpQqVru700IIVqbSpWO2XwZBsPJQB0KhR6lMl1WPeokDAkJ9ExLZmV5Vcz0UQW51Ppq+eLthRGBx229/cQ3ZOWlkNsjM+7rmGxGTFYDSqWS/L7ZrF+6KeZ5g8f3RaVSkdk1lYvG386RMydhTbFQ0C+b/D7ZrF8W77o+O3inYm/S7pddFQ0SjFrOmnVMzLQh4/ugN+owm03k9sikx6A8MvJSmuwQTc1N5PQbjoqZtu/hQzFYZK+wvYlSqUOtzkGtzt+rA48ABqueI2fGXo55+AH9saVZ6D4oLypNoVBw1q3HkZm/d39+ovUplYmo1Xmo1bkSeGyCLdXC9KunxEwrXF3G1BmT0JuigxmJaRbGHjEMrVaLJWnn69ntJaVZOenK2K9/9HmTYq5SINo/pdKCWt0FtTpPAo+7oefQArK6bu0Y/unTv+g7qjtpudH7NyboNEy79BDqAvUSeBR7TKWyba47u0jgcSf4XDVsXB17gA5A8fpKanwNM/itKea49d3k6WPRm1s2+Dd4XG/SYuwBm6DTcOL/DiUl09airy/allKp3ea5VgKPQojOR6HQoFZno1YXoFJlSOCxE0k2Gbj+0AnE+pUOzs0kN8mKx910m2zThkrqagJYkk1MPG5UzHNOvfYI0nKTyCxI5Zzbjov5N9RrWAHpuUkoFApGHjQIj9PHo5e9xm2nPEFylpWzm7ouRjtM7L0k+NhB1HjrqKkPcfObF5LXJwsAo0XPcZcczLl3nkC1fdeWSdVqtQwe35vrXpxBTveG/Q8sSSamX30459x2HJmyX53YS6Wk2zjszPGcf+9JpGQlNhzLTuTsW48jqUsqN894mSufPovDz5mAztjQ+dljcB53f3w5Od3lAVeI9spsNTD6sCFc+dSZjYMEbKlmpl9zBH1G9eTtZ77jvs+uYtikfigUClRqFeOmDuOeT64gp/ue75+RoNNwyKn7ccWTZ5C6eWm65EwbFz04nWMuOgi9UYIpYu+T3TWN2969mANPGoNG27BywCfPfssdH1zGxONGotY0LGk8aFxv7vv8Kv78ZRVKWVJKiFZnsOnI6xl/z7zcrqloDQ0DcsyJRsYeMYzLnzyDjM3PlLZUC2fNOpYTLz+MtOyW7ZDK7pbOnbP/x8Rpkd8h939xFckZssqA2LvsxEJiu3Se2BvIH4MQbWlAdjqvnn4cfTMb+heNCRrO2nc4j0w7jBSTEaNZS36P+P0TOQVpaHVqktKtnH7jUZx+41FYUxq2pcvqmsbVz53DvocPRZOgAaBLjwzunH0Z3Qc2bB2iN2mZOuMArnn+3MbVKtJzk3ngi6uZOG0UKrWKIzMvJLdHOnfOvjT6uufOadFVLkTHowjvzLqmApfLhdVqxel0YrG0/uhYj8fH568tYNGCNZwwY3+MZh2hUJhfvlnKd5/8xR2vzCA7f/cChpvWlhMKBlEqlSRlJaLXy351omNrjvIaCAQo3VAFYVi5uJCPX/uFlf8WAqBOUHPyhZMYNaE3KpUSTYKaDJnxKMRuaYv6ddPaMkLBEEqVirnv/8ZnbyzA760jPTuRM688hKy8ZFQqJWabsXEQQnOqKnUQqAug1qhJyrDKaFXRYbRUea2ucON1+QiHwqjUSm694DUOP3k0vQbmoEBB6aZqXn7wS2beMJVh+/VqttcVojNr7vK6dlkxFx/1CMFACJ0hAYUC/N6G2Y73vXUe/Ud0jbpm05oyQqEQSoWSlFwbWm3rDbSxV7jwOX2EaRgAlJ6T3GqvLcSuau7y+vlz3/DoRS9y+bPnMvnU8Ts8PxgMcVj6TLr2z+HJ727a49cXbe/EhecCcFLaQgAO7xp7Oeot/q58miXVLzMp+1EyDbJPalPaun9Y7B3sXh/++vqGNpTJgEalakxbv6KEi458JOZ2Ufe8MYOBI7s3/lxfH6SyqIpgMIRao24cGLa9kvUVBOoCKJUKbClmjDZj1Dk1vlpcdg/hcMNS90arYet1KiW2ZDNGm6EZ3r3oTGTocCsoWVdOsD6IQqnAmmrBZN21gli8pgyX3UNB1xSGj+1BZamLWee/gt9bR0HvTGY9d9ZuBx6hYdS5iBQIVBAIVRAM2VGr0lArU1CpZNp4Z1O6rpzAlrKZZsFk2Vo2K4uq8bv92Esd5BakMOO6Kdx7+duUbaomFAhStK4C3eFDyIixNJwQ7UUw6CQQqiQQLEGltKJWpqFWx5+50BkVrysjVB8CBSTnJKPXJ5DdNZ3qKgdeew1D9unKwGH5JKVbWfDtUu669E1GjO/FeTcf1SKBR4DkDFuL3FeI9qq8qIo6f0OQwmQzNi4zXLK+Ao/Di73UQVKGDbPNiD5Rz8wbjuD+K9+mqswFgMGk5fQrDiWnqwz0ES0rELQTDFUSCJajUiahVqWi3su3JNgiMdXME59cik6nwb95/2StQUttfTDmsuXQMAuxrSSlWkiSJc2FEEKIdiEUriMYLKc+WALhQMPSscpUlErZ9iuWJGP82IEtycTNT5/Og9e8S3WFGwCDSce5100hfbsVJtx2D35PDU67h+QMGy67B0tS9HY9RrOOGm8tSpUSrTH2Evl+T03jM51PAUarIWrrqeK15birPTgq3aRmJ2Ew68jIk7b03kyCjy2oYlMVxavLeOGGt1nx+xqMVgOHnDmBw8+dRMZOTkFe918Rt01/nOK1W9dzHnnIIJ746BK83jqMFj2ZXWQUZ3Oqq9/ApqozqKtf3nhMrx1HZtLDaNTxN+xtbsFQiHK/B29dPQlqFSk6IwaNptVevzMrL6qkdF0Fz1/3Fit+X4PBoufg0/fniPMOJLMgnU1rSrnn7GdZ+df6xmt6DevKHS+ejddXh1aXgNGsI0UCCB1WfTBIud+Lr74enVpNqt6ITt25qsT6QBnljpvw+D9tPKZRdSE79VW0mp5tmLPWUbq+gg3Linj5pndZu3gj1hQzh888kAOnj0OpUvLvzyt5/H+vUeOtBRpmRZx92zRe+PpK1Aka0loo8CjaH299HVV+H7XBIKaEBNINJpQyG7VZeJweytZX8uKN7/DnvMWoE9SMP3YUJ14zFbVWw91nPsOKP9c2nt9zaAFXP38u/Ubkc8/rM3E7/QSDQayJJqxJBswxRuCK9slXX09VjZeaQBCjRkO6wYRK2b53/KgPFFNivwR/7c+Nx7SaPmSlvEiCOnq/772NSgmhunpeuO19fv7od0LBECMOGszJ1x+FxSodh2LXeepqsdf4qdum/pXVIIRoa1IGRfMLhnz4an+ktOoiQmEPAAq0pNpuxGI4GpXK1rYZbGPVNX4ctX5C4TBWrY4UfdPPPLZUM/32yePeN8/D7fARCoWwJhqxJhswW7cGFovXlHHLiY+xcUVx47FhB/TnssfPaBxoXeOtZe3iDTx95euNsYup501myrmTSN6mT6RoZQlv3vUhP3zwK8FAkOGTB3HGrdNILUjDbG5oB25YXswdpz4Z8XpD9u/LxQ+fKkux7sU6V09rO1O4vJjrptzDlpVtvU4f7z/0OUsXruTKF84jq2vTI0E3rSnjpmkPU1Fkjzj+65x/sKVYOOPmYxpHjovmEQiWs6nyNOoCKyOO+2t/pLz6JjKSH0SlNLd4Pqpr/HyxbgX3//Uj9ho/aoWSw7v25qrh+5Flkt/5ntq0qozrDruLUKihbPpcfmY/Ooelv67i6pfO54HzXowIPAKs+HMtD17wElc+c7aM2ungKv1e3l7xL0//+yvu+jq0KjUn9BrIBQNHkW6MHgHWEYVCtdjdT0YEHgHqgxspLD+evPTP0aiz2ih3rWPF76u585THG392Vrp5/fbZrP57PWfdeSIPzHyBbVeer6up58kr3+DevlcxcGzvtsiyaAObPE7u/O075qxfSTAcJlVv5Orh+3FgXndsWulM31MVhXYum3Artb6GIH99bT1fv/Ej//64jMuePici8Aiw8q91PHDeC1z57DlkF0hd21GVeNzc9+cPfLxmGYFwiCSdnsuGjGVK114k6drnUkzBkIuy6usjAo8AtfXL2FR5Brmp7+z1MyCdFW6uO/we7CWOxmO/zvmbxT8t58HvbiYp3dZmeRMdT6HbyW0Lv2Ve4WpC4TDpBhM37DOB8TkFWLWxZ1wIIYTomALBQoorzwJCjcfC1FLuuAGtpjcG1Zi2y1wbCoXDrKyu5NqfvuSvihIAetiSuWvfgxiYmoFWFT9so9frySmI/7xqL3Vw43EPs2lNWcTxP79ZwvM3vsslj5yG3qRj1d/ruPLA2yNiF2/e/RH//riMG968hMR0K0WrSrj6kDup3LQ1PvHbl4tY/NNyHvlxFuY+ORSvKeO2kx+naHVpxOv9/d1SXrzlfWbcdWKLrSwl2rf2Pfy0AytZV8Zz17xJrC01ly5YRWVR1Q7vUb6xKirwuMW37yzAZffscT5FpECwPCrwuIWnZg7BYGWL5yEUDjNn/Qqu++Ur7DUNSxoFwiE+XLOUmd98RKXf2+J56MxK1pXz/LVvNgYet7X819VUFFZFjNLZ1n8LVuFz+Vs6i6IF1QQCvPjfn9z354+46xuWi6gNBnhl6V/cuGAejtqaNs5h8wiGynF6X4+TVkZdYF0r56h1Fa0q4bnr3oqZtvDzv7CXOlBrVDHT3314DpUlO66jRcdX7vNwxlcf8Nm6FQQ3t9cq/F6u+HEO3xd17jLSGqpLnbxz/6eNgcdtlW+sZM0/GyjonxuVtvTX1fjcUtd2VJV+L+fP/5gPVv9HINzQwWSv8XPjgnl8tnYFwVBoB3doG8FgJd6ar2Km1dUvJxCsaOUctS81vhp++vj3iMDjFj63n0+e/Irqsug0IWIp9bqZ/uW7zN24itDm+rfM5+Gi7z7l19LCNs5d5xAm+llXCCHaQjhcj8P9MtsGHrdV6XqQYNDZqnlqL4rcTo797I3GwCPAKkcVJ3zxNuud1Xt078oSR1TgcYsfPvyd6goXjgoXT172SszYxZKfV1C6vmEVxt/mLIoIPG7h99TwwcNf4KxwUl3higo8bvHzp3/hdfn24N2IjkyCjy2kribA2sUb46b/9e2SHd6jZH153LT6ugC1m9dZFs2n6Y6FUOPyAC2pzOfm/j9/ipn2T2UpmzyuFs9DZ1ZXU8/qRevjpv89fwldesWfEeZ1d47g1N6qwu/h+SW/x0ybu2EVVZ0kuB8K1xAOx++8rw+sb73MtCJnlZuiVSXU+uqoKIwfQFy9aD0pObH3ay1dV0GNt76lsijakQ0uByuqYw8quuv37yn1uls5R52Lz+Nn0fz/4qb/891/dB8UeylLrwz06bBKvG7+Ko89iOvBv36izNc+B0+Gwl5oorM+GGr5AYhtraq4mqJVJVQWR3cuue1e/pz3b9xr/56/BK9Tyq3YOascVax3xe5UveO37yhvp98TomX9u6aYFRvj94EJITqmULiW2sCquOn1gQ2EwntfP1soHOaTtcsaB8VvKxAO8diiBfhipO0se6kj/msHQ9R4a/G7/axdvJGH/rqedwqf5IXF9/PKiof5xPki0BC7sJdW89uXf8e911/fLsHt8FFZHD9YGgqG8Elf6l5Lll1tZqXryileU0ooFEaToKa+LhDzPEvyjpfuzO0Zf39BnVGLzqjd7XyK2DSqpvZ01KBUtPySp976eqpq4o8IWWYvZ1Bq6+092dkoVQo0Wg31tbGDC9YUCzUxZmkAKBQKzLb2uVyY2Dmuulpqg8G46Zu8LrrZOv4+ukqFHqXCTCgcO3jS2fZ89HhqqNpYyUePfcE/3/3H+Y+ciUKhiDmCD8CWaqHWG7uc5/XNxmCW5b72Bou2GWG6vRKvG39AgtC7o6q0GntxNcVryzBZDVSXxR7JbLIZY86KBLAkyt6OHdUKe/yBfNW1frx70InSkpQKMw2PxrGf3dTKprfL6MgqCiupKqnm7bs/YsPSIrK6pzPtyqlk5KeSntewP0+CPgFTE3uuGq0G1AmxVxQQYnt/lBXFTVvvqqYmELscip2n2NV9+za3meM0nVvFmXe9DcAfz/+v7TIhhGh2SoUefcIQ/LW/xEzXavqgVO59bf+aQD0/F2+Im/5n+Sbc9XUYNAm7df/UOIOtATQJagwmHQqlgndLn8FRXM0rN73Dovn/YU0xc+RFh/Dysgf56+slaHQJGK3xfz8mqwGlUklGXkqTr2e0yJYmeyuZ+diMKjZV8f37C7h68m18++aPjD1qn5jnKZUKhk0agLPKTeGKTaxdvIGilcXU1kZ2wCRnJpLXO/YMrMPPmYgtRfb+a24qVSr6hNi/N6vxhFbZ6yVBpUKjjF80Mwwtv+dkZ2ZJMnLASfvGTFMoFAw9oD/pcSrNkYcOwmCWCrMj06s1TaYndpI93tSqdBLNF8RM06i7oVF1aeUc7ZmSdWWsW7KRDUuLKNsQ3bFduqqEC0dey2fPzKNwRTF/frWIIQf0j3mvBJ2GnsO6xly6XKlUcPxlh8q+VXuJ7Cb2UNap1GiU0pG+O7yOhhnkBQO6MGXGgXHPm3DCGP74JnolkJEHD0IvAwA6rDRD/L2T1Qplk3vXtCW1KhWLcVrMNH3CaFSddL9Hr7eWZb+u4of3F3LitUdxzesXc9qsE/j3+//47Yu/GwcPWJPNHHHe5Lj3OfKCg8nIT2utbIsOLsdkjZtm0iSgbuJZWAjR0mTJXtG8FAoVVuOJKIg1gUZBsuVyVMr47cfOSqNSNfk8mmYwod2D59HkDBu9hhXETDv0zPEkpluxpZopX1vOhSOv47Nn5lG0spj/flnBHSc+zGu3vMvQSf0x24xMOfeAuK8zZcYksrqlY0k203No7Nc7+LT9UCeoWLdkIyVrYy8FKzovadU1I7+7hpdvaBit9d07vzDxxDHkbrd8o0Kh4NKnz0Fn0PLare9zwT7XMXPo1VxxwK18+fx3lKzbWgizuqZx4xsXMnBsr8ZjmgQ1U2dO4rAz98cso8KbnVqVTGbyExh1k6BxtKAai/FkUqz/Q6ls+VlvKTojU7v1jZlmSdDSI7Hjz8pqSzW+eiadPDZm2Zx5/3TeuGM2k08Yw7ipw1EqG/4GlEoF444czsw7TyQtVz7/jixJp2d0ZvQeYwC5Jitp+s7xvapQaLCZTiTJfFFEI1+fsA85qa+jVneMGRzVZU6W/LSc2094mBlDruLcwVfy0MxnWbfNsuZlGyp45spXqfFuXcZjzgvfcszFh5DWJXIggUqt4tpXL8RkMzDrnUsiRgMmpVu5/tXzSUzf+x589lYDUzLiDkg4vtdAUjvJ90FrcVS6WfbrKu478ykuGHkdZ/e/nMyCVIYdODDq3KMvOZQuvbMZNrFfRF07dupwZt5zEum58UfOivatmy0Za0Ls4PGUgl6k6NvnChJKpZFUy1VYjCcBWzp6FBh1B5KZ/BhqVfzR4x1Z9aYqUnOSMSeZuG7K3Vw0+nqumnwbtTUBeo/qicexdaBOVtc0Dp8xKeoeow8fRv99e0UdFyKekRm5aFWxO1RP7TNU6t9m1JYzGUXHolDs4mxZIXaBWp1DTto7aFRb+2JUyhSykp9Hq+nehjlrOxqlitP7DoubfuGg0dh0uz843pZq4fpXzmfYpK2DstUaFVPOmcjx/5uCVp+Ao8zJM1dE9qVsMe+1H3BVNbQDM/JTOWJm9KDS4ZMHMmzSAIKBIJn5qVzzwgyGTuwX8XqHnbk/ww/ox5m9L2XGkKu4/aRHWPLLCpwVe+c+n3sjRTjemmQigsvlwmq14nQ6sVhij0xY8Okf3DT1nsafLclmZj54GsFgmOW/rSYjP5VRhw1FZ9Lx6AXP88fcf6Lucc7dJ3PouRMxmrc2uEs3VOBz11DjrcFkM2KymUhKl1mPLSkYdBIMVREKe1AqLKhVqa26DECJ1835334csWeOJUHLawdPY2BKBkppGDapqfK6cfkmLht3IzMeOI1wOMzKv9aRmG6l55AC5r32A9+/twCNVsNh505i9BHD0Rl1GEw6jFY9KVmds+Npb1PodnD63PdZ7dy6p1Ga3sibhxxPj8TO1eEdCtUQCJUTCjlQKAyolMmoVYltna0ITZXX1YvWcfGYGwjURy6Va0k28/APt5LTM5ONy4o4q99lUfdNzkraXAeHWLpgFWldUhh12BDMSWaS0htG3G9aU4bH4SUcCmNOMpKel4Ja3T5n5YjmFwiF+LuimNPnvo9nm6UgR2fm8vD4KWQYZaWB7TVVXtct3siFo6+PWNZck6BmxgOnkt8vl+/fXYAx0ci4I/fBnGQiIz+VymI7Xqcfr8uH0WLAaDGQkt2+vqPErgmFwyypLGX6l+/hrNvakTE4NZOnDziSzHZerkIhL4FgBaGwC6XChEqZgkrVMZ+7dub5ddOaUj5/9mvef/CzqLRJ08dx4jVHktsru/FY2cYKHBVufpr9G4FAgLFTR5CclSizHsUuqQsG+aOsiDPnzY5Y4nxCTgH3jDuE9CZmUHdWO1Ned8Xnz33Doxe9yOXPnsvkU8fv8PxgIMhhGedR0C+Hp76/aY9ff3cMP/tBQJZdbS4nLjwXgJPSFgJweNf4+/YC/F35NEuqX2ZS9qNkGmKvBiYaNHd53ZvUB8oIhqqAECplEmpVBgrF3jsvyl1XyydrlnHjgnkEtwnPnNt/BOcNGkmSbs8H7XkcXhyVbvyeGkxWA4npVnSGhgHqG5YVcXaMvpQtTr15GidefxQ3H/UAFz56Bq4qNz/O/o262nrGHjmClKwk3rhnNmfdeiJJGTYAygor8blq8Hv8mGxGPnv6Kz55ci6h0Nb3p0lQ8+gvt9NtUP4evz/R/kkPWzNSqiK/MF1Vbu497XGSs5LI65vDcZcdRnaPTFb9vS5m4BHgrbs/YtSUYRh7bQ10ZeR1zmV+2jOVyopKFX85mJaWaTTz3KSjKPa4WV5dTrrBTHdbMplGswQem4Gn2st9pz9OcmYi98+fxeOXvMTrs95rrAzra+v56LE5fPTYHJ749U7y+mTv4I6iI8k123jr0BModDtZ7agi12ylwJpIprHzPTgolToSlF2AjrXMKkBVSTVv3fVRVOARGurXnz76jWP/dxgoFDH3d6wqtnPHCQ9x0RNnc9GjZ8R8jexuHWMGqGgZaqWSIalZfHX0GaysrqLC76FvUhqZRgvJ7XR2VnvlKHfy3oOfRe2nXF8X4PGLXuT0WdMo6J9Dt8EF9NhmOZ6UrCRSYu8wIDoopUJB/5QM5hx1OmscVZR43fRJSiXLZCGlA8xmUiqNJOxF+w4F6wJ8/MTcmGnfvPET0644IuJYepdU0ruk0mtY19bInuikElQqRqTn8PUxZ7LCXklVjY/+yelkGE3N0tEqILybS2fK3ATBru4XKsQu0KjT0SDP4FuYE7Qc1b0vY7Pz+LeyjLpggMFpWaTqDFi0zbMNRcMkpthtWwXE7EvZQqlWEg6HUaqUnN7nMg44ZV8uf2oGKGDOS/O58sDbye6eEfG1sWUFm0AgwLv3fcpHj38Zdd/6ugBv3/Mx5z1wKkmZMvC0s5PgYzPK6pZOgi6Bupq6iONVxXYSdBrYHDTasDT+Busehxef29+i+RQdQ4reSIreyMDUjLbOSqeiN+kYcehgfv3sL6pKqnFWufjr6/ijANcvKaTHUOlg6WzSDCbSDCaGpUtgub3yufz8t2Bl3PR/vvuPg0/fH71Ry4iDB/PbnL9jntd3VM+WyqLoBNRKJdkmK9lN7D8ldszj9PLfLyvipv/x1b8ccf5kTFbpVN4bKBUKsk2WJvexEe2Dq9obNWhgi3A4TFVJNfn9Yi9XL8Se0KhU5JisTe7/KITYc1UBE0pCbZ0NIUQcBk0CeZoE8iytH4TTmfQMP2gQv3+5KGb6yEOHotFomHLuJH77chHfvPYz37z2c8Q5B5+xP7bU6Da/s8LFovn/xX3tpQtW4vP4SUKCj53d3ju3uQUYLXoueCR6doUmQc3/npvZMBoASEyL38BWKBQk6BJaLI9C7O1Sc5I5+86TMSc1LOeToEtocn8DW7o8EAvRFlQaJYlNlL+kDBsJBi2puSmcfc/0xjK9rSMvOiTuKD8hRPPRJGiaLK+J6Vaye2RgsDTPCF4hRPPQG7RNphstu7/XkBCiffvi5e+5+IDbAZnx2JmVB6yUBqRzXwgRLS03mXPumY45Mbov5ehLD8NobehL6TG0gKEH9I86J7dnJhOOH4NSGR1e0hp0JGXEfz60pVlQxdn/WXQuMvOxGSVlJjH8oME8uuBOPnz0C0rXldNjaAFTZkyOKHDp+alYks24qtxR9xg6aQBGqzzkCdGS8vt34ZGf7+DbN3/EWeFk+OSB/B5jKWRzkonMAtnDRoi2kNU1g6MuOpj7z3o6Zvph507CYGoIZGT3zOCRn+/gmzd+4O9vFmNJMTP1goPJ7pFJhpRhIVpcel4qR118CEvjzFaeesFBJKZaSc5KbuWcCSGaYrAa6DG0gFV/rYtKy8hPxZzUvvfoFELsvudufBe/p5YaXy1qTUMHcFODcltSMCQz84QQoi1k98rkkV+29qVYUy1MPT+yLyUpw8aVz89k2e9r+PTpr6ivDTD5lP0YOmkAqTmxn+9MVgOHz5zMt2/9HDP9qIsPIbOrLMG7N5DgYzNL65JCWpcUsh45E7/Hj9lmxLjdrIukbCuzZl/B9Yffjc+1dYnVnJ6ZXPDwGaRtXh9ZCNFycntlMe2ao3BXuDjvodMpPeo+ClcUN6YbLHpmfXglybkySlCItjJgXF8OOGks37z5U+MxhULBmXecQPI2ewMkJCSQ2yuL4689moPPnIjWkEBimq0NcizE3qvnsG4cctZE5rzwbcTxk284hrS8VFLiPJgKIdpOZkEaV710AddNuYuKwqrG47ZUCze9+7/GlXuEEB3Lrkxk9Dr9WFOiZ720pvpA9B7voq3Ino9C7E12ti8lKTORfY8YzpAJ/QiHwhh3YjuN5Kwkzrj1eF6++d2IGfaTTtmP/vv2bs63IdoxCT62EGuKGWtK7JGiBoOBrkO68PiCO1i9aD0la8vpMayArK7pZHWTBzwhWoten4C+S0Ow/7aPr6ZkXRkr/1hLZtc0ug3Kx5aViF4vM5GFaCuZBWmcdss0jr70MBZ9u4QEnYbBE/qjM2pJz0uNOl+vT0CfLzMdhWgLmQVpnHjNkRxx3mT++mYJao2KIRP7ozfpSc+TgXVCtFd5fXO496sbKVpRzNrFG8ntnUV+v1xyemS2ddaEEC2qIcjkdfkag49ttfyqBB+FEKJt7WxfisG8832kGfmpHHDyOMZMHc6i+f9RV1vPkIkDMFkNZEi/zV5Dgo9tRK/Xk9NTT07PrLbOihACyOqWTla3dIZNGtjWWRFCbCOjII0MoMeQgrbOihBiB7Y8RHYblN+2GRFC7JLs7hlkd89g5GFD2zorQohmsCurp/q9tS2XkZ1UH5BlV1taOBxCoYjely3GmS2eFyHE3iNt84SPvL65bZwT0VZ2puYRQgghhBBCCCGEEEK0Q44KJ8FgwwxCxS4snelz17RUlnZancx8bHH14bYPMgshhNj7SPBRCCGEEEIIIYQQQogOaNmvqzg+61yevuyViOM7s4qq31OzS3tEtoTaukDjvwMSiGwRtUFfW2dBCCHEXkiCj0IIIYQQQgghhBBCdECfPjWXUDDEF89/jd+7dSZj08uvNkQcPc6tQSnFrqzX2oxq6uq3/rs+0MSZYnfVBj1tnYWYwuG6NttrVAghRMuTPR+FEEIIIYQQQgghhOhg6mrq+Pmj3xhywAD+/mYxv33+F+HNgcV4MZ1gMESNtw4Ad7W38XhbBYF8NXUR/3Y6fHy/cBXFpQ7SUiyMG9WdgtyUNslbRxQKR++h6Q+6dvLq5vkbCIeD1Ac2EAhVoFTo0agLUCnNm9MC+H3v4/E8SyCwHKUyFYPxJEymGSiVtmZ5fSGEEO2DIixDTHaK0+nEZrNRWFiIxWJp6+wI0amZzeY9GnUp5VWI1iPlVYiOQ8qrEB2HlFchOo7WLK9/VpSw3FFJKOykrm45/969hqLPysmYmEzp/CoIgy5dR21lPZkHJGHrZ9p6cbiOMB7q3WHWvNEQ8NOYFaiNCvxlYdQGSBqkajh3J99OOAgetwq1VYU6Vb0Lu01uvj4M1aUJ+F1KFGFQhcIEUxMJm3Tbn0lG9xosKQE0ujBKZbgxn20zX7PlhQjjC4UagsLbvclwGDwhVcwAcxioDjT8Hm2ahpmtZiXo46x9p1aoqQkF8YXqUKAgUW1Atc1CeeFt/h8OQyCsoC6oxBdU4K5X4axT465XRdxTQRiLpgZLgh+Tuhadup4EZRAVCpK0bgpMVSgUapSKFJTheqCq4TpFBkplLgpFCkrVQBQKdeP7jWVLsUvQqBk/ujt6nSb2iduQ+lWIjmNPy6toexJ83ElFRUXk5ua2dTaE2Cs4nc49asRJeRWi9Uh5FaLjkPIqRMch5VWIjqO1yqvSqCfnkVsaf9atctPl3uW7/brtVciko27iwLbOhuhgCld+y4ZlX+7wPKlfheg49rS8irYnwcedFAqFKC4u3u2Iu8vlIjc3d68fGSOfw1byWTSI9Tns6ciWpsqrfO67Tj6z3bO3fG4tWV5bQ2f4Pcl7aB86wnto6fLaET6DjkI+y+bRkT/H5iqv4XCYLl26dMjPIJ6O/HuNpbO9H+h872lH70fKa/vQ2f7uWtPe9Nl19OdX6Ni/L8l76+uo+QaZ+dgZyJ6PO0mpVJKTk7PH97FYLB2uoLcE+Ry2ks+iQXN+DjtTXuVz33Xyme0e+dya1lz1657qDL8neQ/tQ2d4D/HsbHntzJ9Ba5PPsnnsjZ/jlvLqcjXs89UZP4PO9p462/uBzveeWur97A3ltTXJ57f75LPbsfby/Aod+/cleW99HTXfomOLs+K3EEIIIYQQQgghhBBCCCGEEELsGgk+CiGEEEIIIYQQQgghhBBCCCGahQQfW4lWq+Xmm29Gq9W2dVbalHwOW8ln0aC1Pwf53HedfGa7Rz63jqEz/J7kPbQPneE97Cn5DJqPfJbNQz7HzvkZdLb31NneD3S+99Ra76ezfW6tTT6/3SefXcfSkX9fkvfW11HzLToHRTgcDrd1JoQQQgghhBBCCCGEEEIIIYQQHZ/MfBRCCCGEEEIIIYQQQgghhBBCNAsJPgohhBBCCCGEEEIIIYQQQgghmoUEH4UQQgghhBBCCCGEEEIIIYQQzUKCj0IIIYQQQgghhBBCCCGEEEKIZiHBx50UDodxuVyEw+G2zooQYgekvArRcUh5FaLjkPIqRMch5VWIjkPKqxAdh5RXIYTYeRJ83Elutxur1Yrb7W7rrAghdkDKqxAdh5RXIToOKa9CdBxSXoXoOKS8CtFxSHkVQoidJ8FHIYQQQgghhBBCCCGEEEIIIUSzkOCjEEIIIYQQQgghhBBCCCGEEKJZSPBRCCGEEEIIIYQQQgghhBBCCNEsJPgohBBCCCGEEEIIIYQQQgghhGgWEnwUQgghhBBCCCGEEEIIIYQQQjQLdVtnYG/m99dRVVRFKBhCpVGR3S2jrbO0W9wOPy6nl1AI1BoVmTmJbZ2ldicYClHu8xIMhdCq1aQajG2dJRFD8epSgsEQCqWC5Jxk9PqEZrt3ebGDuroACoUCozkBW5K52e69t/LV1+Oo8RMGLAlazFptW2dJtJDywkpqfXUoFGAw60nK3DvrGY/Lh7PaRygU3lzfJrV1ltolT10dztoaAGxaHcaE5vsuFztWXlhJrb8OBaA360nuIOXVWe3B7aqBMGg0KtKzO0a+W1N1jR9vXR1KpZIUvZ4ElTxKdiabVpcQCoZRKBVkFKSiVrfe79de6cbnqSUMaLVq0jJtrfbaovnZ/T589fWolEpS9AY0KlVbZ6nT2rbcpuUlk9AO2jwlRXYC9UGUSgXWRCMmi76tsyS2U+nzUhMIoFIqSTMYUSllXooQQoiWIU+MbaR0fTnfvPETHz0+B2elm5yemZx2yzR6jehORn5qW2dvp5UU2fnojQV89dFf+H119OyXzVmXTiYrL5nUdGtbZ69dKPd6+WD5Ep5d9CfVNX662ZK4dsx+jMjKxqrVtXX2BA3lceUfa3j55ncpWlmCJdnMkRcexKTp+5GRn7ZH93baPZQWO3j+wbks/nM9mgQ14w/qz4nn7E92XnIzvYO9z0ang4d++4VPV68gGAoxvks+1+07nm62JHl46kS8Ti8la8t5/ro3+fubJajUSsYePZJTbjyW3F5ZbZ29VlVaZOfjtxYy98O/8Hlr6d47kzMvnUxufiqpmVLfAoTDYdY5q7lvwU/MXbcagAPzu3H16HEU2BJRKBRtnMPOze32U7GunBeuf4s/5v6DUqVkzBHDOW3WNLr0zm7r7DWpeGMV77z4A/O/+Je62gD9hnTh7MsOIiPHRmKypa2z1+Zq6utZXlXJrJ/m83dZCXq1mhP6DuTcIcPJNMlgqo6udF05i777jzfumE3ZhgqSMhM57vIp7Dt1xB63g3dG4boK3nhmPj/NW0owGGLwqK6cdclkMrOSMFrlWakj8dXXsaSinFt/ms+SinJMmgSm9x/EGQOHkm4ytXX2OpXS9RUsW7iSV2a9R/HqUmypFo666BAmnDSWjLy26U8qL3WwaX0VLzz8FauXFWMwapl85FCOPHk0GTKgp11w19bwZ2kJt//8Haur7di0Os4ePIxpffqTZpQyKoQQovkpwuFwuK0z0RG4XC6sVitOpxOLZc86IUrXN3TMfP/ugqi0S548mwknj8NgaP8zeIoL7dx11TusWloccVyhUHDn06cxZFS3NspZ++Go8XPj99/w6eoVUWmPHHgoh/fojVI6Q5vdrpTX2tpavn3jZx6a8WxU2rhjRnLO3SfvUcfL6mXFXHbKs9TXByOOZ+YkcvuTp0kAcjdscrs4+oO3KPN6Io7r1Wq+OP5UCmzycNuRNFVe1/9XyMVjbqDGVxtxPCU7iXvn3UhOj8zWzGqbKS60c9/177Psn8KotFsfP4V9xvVsg1y1P4VOJ4e/9zqOzbMet7BqdXx63Ml0sdraJmOdSFPldeOyIi7e90Z8bn/E8cR0Kw/Mv6XdltdNG6u4+cLXKdpQGXFcpVby4Cvn0Kt/ThvlrP34p6yUoz94k+B2j419klN4ecoxElRop3amPeyodPPFc1/z8k3vRKVNPf8gpl15BKk5LddW3bShkqvOfpGqcnfEca1ewyOvzyC/e3qLvbZofguKNnLSx++xfQfTsIwsnj74CFKNsvpPPLvy/Or3+Pnq1R944pKXotImnjSWM2YdT3obDGj/4+dV3HjBa2zfxdhrQA5X33UcWbmyYkdbCofDfLFmJRfM/Swq7aCu3bl7wmQSdTJLdWc0Z/+wEEJ0djI9pA34XP6YgUeAl296B3tRVSvnaPeUFtmjAo/Q0Kh54aG5lBTZ2yBX7UuFzxcz8Ahw+8/fRQVPROur2FjFSze8HTPtxw9+xefyx0zbqXuXOnjtyW+jAo8AJUXVLPt3427fe2/27fq1McuOPxDgub//oCYQaINcieZWXe7gnfs+jgo8AlRusvPH3H/aIFdto7LMGTPwCEh9u1kwFOL95f9FBR4BnLU1vLtsCYFg9HexaB7OCiezH50TFXgEqC5z8uMHCwm00+/m1UuLowKPAMFAiFee+JryEkfrZ6odcdT4ufWn+VGBR4BlVZWsqu4Yzy0iNneVm7fv/ihm2qfPzMPvif5ObU6//bgyKvAIUOuv572XfsReFZ0m2qdKn5dbfpwfFXgE+LO0mI0uR2tnqdOqLK7m1VvejZn27Zs/4fPs/vPr7ioutPP8g3OjAo8AKxYXUbGX16XtQZnXw60/fRczbe7a1ZRL35QQQogWIMHHNrBuSewORABnpRvvHgQ7WtPfC9fETVu9vIT6OunkW1EV3Zm1RYXPh7s2ulNdtC6v04+jwhU3fc2i9bt979raAIv/jH/9wu9WtNvO2PbKV1/Hl2tXxU3/buO6xr3eRMfmdfhYNP+/uOm/fvEXjnJnK+ao7fzz+7q4aRvWlFNbU9+KuWmfXHW1fL0+frvk2w1rcdVJndtS3A4fi+YviZv++5f/YC91tF6GdsGvP8QeJAbw72/r9/r2rK++nj9LowcbbvHN+rWtmBvR3JxV7piDfABCwRCVm1ouuOy0e/j9p5Vx0//5bR0+t7TpOgpvfT0r7PGffX/ZFL8PROwar8OHu9obN33jsk2tmJsG9XUB1q8ui5u+6FepK9qau66uycHvSyrKWzE3Qggh9hay52MbMCc2vdxIglYT8XN1uRO3w0edvw6dQUtyThJ6fdtvJG5p4n1odRqUSllO1KprevlcjUrVSjkR8SToNFHHFAoFY6YOZ/y0fckoSKNwVQlJqRaMtl1bKkgBGM06fN7YnTqWRANqtXwN7wq1UklSE8vBWLU61LLnY6egUCoxJxqpKq6OmW5OMsUsv7uidH0Ffm8N4TDoTVoyW2Fvq91htRnipmk0KlRqqUs0ShU2Xfy9waxaHRqlfE4tRaVWYmqiXWhKMqLVR7eJvA4v9nIXtf46tIYEbCmWHbaTm5s1MX75Mll0EHMez95DoVBg1Gjw1sce5JBqiP/5ifZv++fO7emM0d+rpRsq8HtqCYfD6I1aMgt2r+7UaNWYLU2VPz1KadN1GGqlEq1KRW2cVQaS9bKcY3NJ0Mcvtwk6DVndM9i4opi6mnr0Ri0puYlotS27rY9KpUSToKa+LvbAWkuS1BVtLUGlQkH8Vk1T7WghRPtx6ZVv0q9PNuecOb6tsyLETpHWfBvI6paOwRK78d1/397oLVsr/ZL1Fbxw03tcsO/NXLjfLC4/6C6+fPE7SjZUtFZ249pnXM+4AcYJhw7E0kRn6d6iqy0Joyb2w8G+2V1IkoewNmcw6xm4X9/Gn5VKBVe8cB5pXTN5+JJXuPSA27l4/9t464HPKY2xLFtTUjJsHHbciLjpB00dutv53lslqNScPnBI3PRzhgwjWS/fPZ1BdvcMDp85OW76lHMnYWii07IpHk8NK/9ax51nPM15Y27m/H1v5rbpT/DfglU4K9rfEm+DR3ZFqYrdZBs3uT8ms3QWmBISOGfw8Ljp5wwejrmFO972ZpkF6Uw9/6C46UfMnIw12RxxrHRDJW8/+AUXT7iNC/ebxcX738bbD3xGaSu3cSceNjhu2iHHDCcpbe/eyydFb+CUAYPjph/UtUfrZUY0O3Oikby+sfc1Tc5KxJqytdz6/X5WLVrPPWc9y3ljbuL8fW/m1pMfZ/HPK6iu3PWVCAxGXZPt5CnH70NWF9kbvaNI1hs4ulffmGlKhYJ9c/JaOUedl8Gsp8+o6O9eo9XAzR9cwewnvuK8MQ39R1cccjdfv/ELJetbdlabyaJl/MH9Y6YplQqGje7eoq8vdixJp2f/vIKYaXq1ml5JKa2cIyHE7vjn30LefGdhW2dDiJ0mwcc2kJhu5cZ3LkOz3UjT5KxELnnybDLyGkaPlqwv574Zz/H1W780jiBzVrl55rq3+fnjP/G3wVr+2zKYtFxy81QUisgAZH73dKaduZ8EH4F0g5HnDz2ShO1mW2SazNw5YRJWrXQYt7X0vFQuevxMUrKTADjs3Eks+mkFHz/9NTWbZyz6PTW8/+iXvHXfp1SV7Pzealqtmv0PHsiAYdEP29PPm4BVRoDulq62JGYOie6sOqigO+Ny81s/Q6LFjDhoECMOHhx1/JhLDyMtd/cfkO2b7Fx9+H2s/GvrcqZrFxdyzdT7sLfDpVyNZh1X3HZU1ICf3IJUps+cQGKyqY1y1r4MSEvn+D4Doo4f17s/A9PS2yBHe5f+Y3szZmr0d/PhMw8ku0dmxLGqEjtv3/8p7z0yp3FPOb+nhg8em8sb93xKeQsu9bg9i03PWZdGD3ToMzCXyUcObRerjbQljUrF6QOGMChGGbpnwmQyjPL905Fldk3n6lcuxLLd4AC9SccNb11K6jbBv8pCB1dPuZdlv29d4nrdf0VcO/V+qkt2r+5My7Jy1PQxUcdHjO3B8H0lWNGR6NRqLho+ip5JkQFjpULBo5MPI83QurPaO7OM/DQue/pckjITI46ffffJvHL7R8x/71eCgYYZqNXlLh677DUWfbesRbf7sCWZOenc/cnrFjkTWqlUcPmtR2MwSb9HWzNrtdwybiI55shBVRqlkmcPmUqaUcqoEEKI5qcIx9oRWkRxuVxYrVacTicWy56PgHZUuXFXuvhz3r9sWl1G39E96Dm0a0TnzPLf13DppDtiXm9ONPLgvOvI3a4zp7VVlDnxumtY+N1yqqs8DBvTnZy8FBmluo26YJBSj5ufijaw3lHNPlm59EtNI9Nk3vHFYrfsTnktWlXC6r/XkZqbwpWH3kMoFP3VqFQpefqXW+nSO2uX8lNSVEV5sZOF3y/HYNQy5oC+GE06MrITd3yxiMlZU0Op183ctaupDQaZXNCNHItVZj12QDsqryVry6gstvPLx3+QoE9g7JEjMCWadnuZN5+7hjfu/pgPHp8bM33SSftyzq3TsKa2r+/oynJXQ337/XLsFW6GjOxKl25pZOVKfbutar+fEk/Dd0OYMAd17UGW2UxiE8s1i523o/JavLaM6lIHP3/0OyqNinFH7YM5yUxm18jyumH5Js4bczOhYCjqHkqlgqcW3Epe7+wWex/bKyt24PXU8Mu3S/G4ahi5Xy/SsxPJyk1qtTy0d+VeD2sd1czfsJZkvYFJ+d1IN5owJuzdwdn2bFfaw0Uri1m6cBWr/lpHfr8cBu7XF1tWImZzw3en31/H2/d9wjsPfBHz+v2PG8mMO08gMc26y/ks3VSNx+Xn56+XUltbz5gJfUhOt5CZI+WvIyrzelhlr+LHwvWkG01MyOtKhtGEPs5qQKLB7j6/rvxzDcsWria/Xw55/bpwxSF3xzw3KcPGvZ9fRU73jObMdpTiwioK11bw18I1JKWYGTm+F0aTjtSMXf9uEC2jxONmaWU5vxYXkWexMS43jwyTmQTZEminNXf/sBC7YsJB9wAwf+7VbZwTIXaObDbWRmzJZmzJZnJ7xe9YWfdfUdw0d7W3cVZWW0pNt5KabiW/u8woiCdBpaKL1cZJVltbZ0U0IadHJjk9Mvlv4aqYgUeAUDCEyx5/k/Z4MnOSycxJZtA+Xfc0m2Izq06HVaejV3JqW2dFtLDMrulkdk1nwNg+zXI/V7WH/xauipu+/Pc1eFy+dhd8TEmzkJJmiRpRLiIl6vUk6vX0TZXPqS1kdU0nq2s6/cb0avI8V5UnZuARIBQK46za9bp2T6Rn2QDo2rNlO2U7sjSjiTSjiVHZuW2dFdECcnpmkdMzi8mnxt4/yF3l5r8Fq+Nev+KPtXhdNbsVfMzIToTsRLr32bXBfaJ9SjeaSDeaGJsry6y2tC3PrxNPGAvA+49+Gfdce6mDOn9di+cpKzeZrNxkRo7v3eKvJXZPpslMpsnMAfnd2jorQggh9gISfGzHkjJscdOUKiUJuj0faWyvcOGxe/G6fOiMOoxmHWkyi0LsxRK0TY/K1RlkzzAhOrIErYaU7ET4I3Z6UroVjbblmkd+Tw3VFS587hoMZh22FAsG2bNR7GV0xqbrUlmeTYj2RW/SkZxpi5uemGZFk9C+Zs0UryvH6/QTDAQx2QwkZSVikHa86MRSm5gtrElQN27746p246z04nF40eoTMFj0ZHSR/f6EEEII0fwk+NiOZXdPx5xoxF3tjUobfehgTNY965gp3VDBB098xZev/tS4p+Sgcb25+MHpZHeTmYxi72S0Gcjvm836pZui0gr652K0ydJ9QnRUpRsqmf3kPMYfPZKfPv4z5jlHX3gQaTktMwinqtTBS7Nm8+37vxIKhlAqFex7+FBm3HE8KVmyDLPYe5isBgr657JuSWFUWn7fbGpr6indUEFGnsxuF6I9MNuMHHHuAXz/wW8x04++cDLp7SR44XV62bC8hPsveIniteUAWJJMnHv7cQwY04t02R5EdFLdBnZBb9I17qW8rfHH7oM50UjphkrmvfUL7z8+l1pfw0zInkPzufzxM8jbxa1FhBBCCCF2RNnWGRDxJWVZmPXOJZgSIzd+7j6oC2fdOo3kzN3fB8Pl8PDJ8/P59PnvGgOPAP/8uJzbT3+a4nXlu31vIToyrVbNhQ+eEjUDOL1LMhfcP52EFpwRJYRoOfYyJ289+DmfPPcty/5Yy4lXTEGpVEScc8xFB5Hfp2X2mfO6/Dx343t8/c6CxuUmQ6EwP378J49e9hpuR/RAIyE6q8yCNK55/tyoIEBabjLn3H48d5zxNBuWF7dR7oQQsSRnJnLWrcdF1Z1TZxxA90HtZ4lNe5mLa495qDHwCOCye7j//JcoWS/PuKLzsqWamPXOJVEravQe3pWTrzoCvUXLwjn/8Ma9nzYGHgFW/rWeG457hE1ry1o7y0IIIYTo5KQXvR0zGAwUDMzm4XnXs3FlMeWFVXQb0IWUrEQyC/ZsLyNnhYfPX/w+Ztq6/4qoLneRtYevIURH5Hb4uefcFzjthqNQKhSUbawkPS+FUCjMvTNe4NZ3LiI5s61zKYTYVR6Hj2/eXgDA7CfnMen40cx691I2Li8mFAox4sAB6E26Fpu54ah08f3s32Om/TZvMY4KN2abMWa6EJ1RXp9srn1xJsXryinbUEl6lxTCwCOXvYa91Mnr93xKl16ZZOZLe1SI9iAjL4XxR49k5EGD+O/X1QQDQfqN6oHBrCW9S/uZpfzdB79FBFa29ca9n5FZkEa6bDMiOiGT1UTXAdk8Mv8mNiwtorKkmh6D80lKt5JZkEbR6lLeefiLmNdWbLKzcXkx2V1lBSwhhBBCNB8JPrZzer2enB56cnpkNOt9/Z4aapvYcHzTmjL6jezerK8pREfgdnip2GTn/vNfwmQ1YEs1U13uwuvyN6YLIToer8tHoD7Y+PPX7yzg63cWkJGXgkKpIKtbOvtOGdpyr+/0Ew6H46a77J4We20h2qsPn/mGP75eQmKaBUeFG4/T15i2ftkmQoH4ZUYI0frSchtW3unSTpdn9Lh8rPpnY9z09cs2UV9T34o5EqJ1mawmTFYTuTH6j+rrAlSXu+Jeu/rfjYw+dEhLZk8IIYQQexkJPraA6jInjnInboeX9LxUarw1VBTZMVj0WJPNZHff/UCix+nDWemmqtSBwawnMc1CcoYNgE1ry3BX+/A4faRk2jCYdXH3rdIZtKjUKoKBYMz07ZecFKKzKS+qwu/2U7nJjt6kx5piIrVLcsQyNR6nL6IjFMBo1lNXV0dFYTVOuwe/p4bUrET0Zh2pWbu/FLIQYs/43H4c5S4qi+3oTToS060EA0H87hoqi6sx24xccO9JvPvIl1RssjdeV7qhEoCkdBt1tfVUlzmpLHGgVCpIzrChUivxbr5Hgk6DLcWMNcWEq8qLLdWM0WLYqfzpTU3v02yyyn6yovNw2z04KlxUlzvJ7JpGjaeWyk121AlqEtOtJKZbMFqM5HTP4PvZvzcO8NlWRl4KKMHn8+Eo8+Bx+nDZvSSnW9GbdWS0k/3lhOgMnFVuHOUunJUuLEkmbGkWbKnWmOe5qzxUlVYTDoZJzkrElGQiMdUSdW7Zxkq87hrsZU6sSUaMVkOLr6yjN2rJ7p4OX8VOz8hLQZ2gatE8CNGaQqEQVSXVVJc6qfXXkdU9A5/Lh73EAQpIykjEZDOSmGZBk6DGaNHHrHMBcntmsmlNGVp9guxFLoQQQohmIcHHZla8toxbpz3EuiWFvLzsId64YzbzXvuBUKhh5HZqThI3vnUpXQd3QaPR7NK97WVOXrj5fb59d2Hj7InM/FSeXngLm1aVc9sZT1OyrqLx/HFTh3PWTUc3dN5sx2QzMP7oEXz77sKotPTcZGlsik6tdH05b9/7CXNf/q6xbKZkJ3HDW5eQlpdMn326sey3NVHX9RvZHXOykTX/FHLHmc9QWeIAQKlUcPAp45h2ycHSGSpEG6gud/LGnbP5/NlvCIXC5A/O55a3LuH5697ipw9/azwvq1s6lzx8Oo9f9VZj0BGgS69MrCkmvn77F56+5m3qNs+KeGnRXcx99WfeeXhO46xJS5KJq546k/z+2Txx9VucfcuxJKVHd9Buz5ZiZsj43vz9/fKotB6D87CmRHfcCtERVRbbeeyil1j4+V+8vOwhvnnzZ16/fTb1tQ3lymQzcMXzM+k5vCv7HTmcdx+eE7H/+BbTLjmEtNwkStZVcudZz7J+2abGtGET+3HhvSeRmd9+lnoUoqOqKKrivrOe5p/vlzYe6zmsK9e/cTEZ25Sxik1VLF2wiofPfx7f5uBFgk7DWXecyOgpQ0nP23puyfoKHvnfayz6YWud17V/Dtc+d27MGVnNRaVSMfnEMXz8zDeN+ytv6/hLDyEjT743ROcQCARY+cdaZk17CEe5i5dXPMzvc/7mqSteo8ZbC4DOqOWCh05j8IT+JKXbOPzsCbz9YPTSqyarAU2CmnPG3MyUM8Zz9HkHxuxHEkIIIYTYFcq2zkBnYi91cPPRD7BuSSEfVD7Pt2/9zNxXvm8MbgBUFNm57vC7KVtX2cSdotXXBfjo6a/55p0FEcu2layvoLLIwQ0nPBoReAT48eM/+PCZr3E5opdyS0q3cso1RzD8gP4Rx7O6pjHrrYvI6SZr/YvOye+v47t3FzDnxfkRZbNyk53rD78Hn7OGy584gx6D8yKu6zkkn/89cQa1/nqun/ZoY+ARIBQK88UrP/DDR39QW1vbWm9FCAEEgyG+efMnPn3668YyfdenV/LBw59HBB4BiteU8dDM55h+9eGNx/J6Z3HDK+dhSzfx6KWvNQYePyl7kpV/r+eN+z6LWK7VZfcw65Qn8Vb78WcU8eEzX8cMnGzPnGjkssfOoM+IrhHHuw3I5fqXZmJLMe/2ZyBEe+H31vDSje+w8PO/eOHf+9iwtIiXbnynMfAIDfuv3nbCI7gq3FhSTNz8xgWYbFtnECtVSo65YDIDxvSgvNDObac9FRF4BPjz2/946bbZVJU6WuutCdEpeRxeHrvopYjAI8DKP9dyx8mP4qjYukSjs9zF3ac+3hh4BKirqeepy1+leG1Z47GKTXaeu/m9iMAjwNolRdx51jOUrCtvoXfTwJJs4oaXZ2K0bF1RQK1RcfJVh0e174XoyCoK7VxzyF04yl1c9PgZ2Iureei85xsDjwA13loeOPdZqkqq0Ro0HHzKWCYcuw8KhaLxnORMG1c+fRav3/MJoWCIT56fz8K5/xAI7Lh9K4QQQgjRFJn52IyqSqrZuLyhc8RR7OCjJ76MeZ7H4WPFH2vI6Zm50/e2lzr55Llvo46/u+FBlv+6HnupM+Z1X77+E1PO2B+LzRSVlpmfyoUPnIzP5aeiyI4l2Yw12URW15ZdDkeItlRVWMXsx2KXTa/Tx/LfVnHg9P247oVz8Th92EudJGXYMNoMZOWnMvfNn/G5Yy9VM/upeYw5dDA5e7C0shBi19hLHbxz3ycRxzxVXr569YeY51duspOYYuaODy7FaDFgSTRiyzBxxylPR55XVM3bD82JeY/6ugDfzf6N66+/nmO7XcaUM/YnfSeWK0/LSeLmNy7EUe7CXu7ElmohMc0Sc7k6IToiR5mTb9/+BQCVRs3b934c87xgIMiXL3/P2XefQO/h+Tz81bXYS53U+GvJ6JKCzphApaucsCeBwlWlMe/x02d/c/JVhzduPyCE2HWOChe/zvk7ZtrKP9fi2FxXeZ1ePnl6XsTAvW29e/+nZHfPIC03Ba/Lz4Iv/ol53rqlm3BVe8ksaLa3ECU5w0b/Mb145OvrqCx2UF9bT0ZeCjqTjlRZ3Ud0Ir9/uYhafx0Ao6cM5fFLXol77gcPf875D53KivVLOf3GoznpyikUrSojFAzhdft57ub3KFq9dRDB+4/NZcSk/mR3lUHpQgghhNh9EnxsRvZtRl8HAkFcVdEzDrfYEqTcWXW19REj2LbQ6XRsWht/9Gitr66xQRrLliUiu/bP3aX8CNFRBYNBnNuM4t7ehqUNZTMzzp40G5cXx73WUeGOucSTEKLlBGoDUfVtnb/pum/TqhKOOG9y48/2MifFayNXDwiFwpRuqNj+0kYbV5YSCISo8dZSVxP/tbZnSzFjSzGT3zd7p68RoqPwe2sb68FgfbDJGU5Fq0rwuWqwJpsxWU3kdM+gvrae2059kt++Wsz7hQ/z59fRyxRvEQqG8Htqmv09CLE38cXZ+20Ld7W34Tx3DZvWlMU9r3htWePKAT5PTcRKPduzl8UeNNucLIkGLIkGGRAoOrW1/25s/HeNt46SpsromjL8njruOvI1+ozoyv1zrmbOKz/y0XPfxnx+rSxxEI4z2EAIIYQQYmfJsqvNKDVn66wHtUZFUqYt7rndBufv0r21ek3E0jFbeL1e8nplxb3OYNajMyTs0msJ0Zmp1CpSspPipncfkt/k9d0HdYmblpKViEqt2t2sCSF2g0anJnm7mQwJhgQM5ug6c4vc3pGBP71RS0G/nIhjKrWSLj3j16/dB+aiVisxWvRo9drdyLkQnY/BrEOT0DC2UaNTk9cnJ+65XQd2iVhuFUCj1dB7RDcAVqxYQXqX+DOKNQnqJsu5EGLHjDYDSqUibrp185LgRpuergPiD1bN65PT+MxptOibbA+nyOxDIZpFn1HdG/+tN+nI7xe/jOb3y8Vg1WFLtVBeZCcYDJLXNzvuwNmMvBSUSukuFEIIIcSekdZEM0rKsNJreEOHSUpOEtMuPzzOeTa6DogfwIglOcPGtEsPiTp+YtcrSe+SQmZBaszrjjx3IrY0Wc5NiC0yClI5/sojYqbZ0ix038HAgB6D8hs7YrZ34v8OJVv2SxWiVSVnJnLKDcdEHLOlmjl85oExz8/unhEV0NCbdJx4xWER+98kZlg4+copMe+hM2rZd8pQpmScz7SLDyY5w7qH70KIziEx3cahZ08EoGxjJSdde2TM8xJ0GiadPA6VKjpAsf8x+6DVJ3D9pKewJBnj7tE26fhRmJOMzZZ3IfZGiWlWxh83Omba4An9sG1eFtxgMnDoWQeg1kSXWYVCwQlXHUFKdkPdarYamXDMiJj37DOiKyarIWaaEGLXDNq/H8bN5emjJ+dyzCWHxhxMoFQpOfqSQ7AmmTn5qilUlThY+Pk/9NunG+bE2PXoSVdMke14hBBCCLHHJPjYjGypVm5482KGHtCfqYlnMuqwIZx07VS0+q0zD7sOzOPOz64mp8fO7/cIDbO1Jk8fy7RLD24cUQ7Qa1gBiRkmZr1xIb2Hbd08Q5OgZuq5E5l80r6YLPKAJ8QWarWafQ4ezPTrj4osmwO6cNdn1+ywbOZ0T+eu9y8lv8/WmVNaQwLTrzqcYRP6tVi+hRCxKRQKxhwxnNNnHddYpo/LOo9DzpzAEedNjqgz+47qwawPLierW/QybDk9Mrjh1fOwJjfskXxk5oXk9szgovtPjlh5ILMglTveu4TEdDPHXXwQB528r8x4FmIzrT6BE66aymFnT+Sag+8iIz+V/z17bkTnZnpeCnd8chVJmbGD9mm5Sdz98eWkd0nBmKjlmmfPZvC43o3pSpWSA08czfGXHkpiigywE2JPGMx6zrn7JCaeuG9j0EKhUDDy0CFc8dwMLMlbB9zZ0qzc+uEVpOZsXUHEmmLmmlcuiFhVJCnDyvSrjmDicSNRqrZ2Nwzdvy9XPnEmmfmxB80KIXZNepcU7v/6RnJ7ZvLOPZ9gTTNz4zuXkpi+tX5NyrBx87uXkZRmRalUMu7IEUy/diqv3f0JiZlm7vrgMvJ6bX3+1Rm1nH79kQzct2dbvCUhhBBCdDKKcFMbMohGLpcLq9WK0+nEYmm6o8Nd7cVZ4cLv8ZOSm4zb7sVt96DVJ2C06Mncg027a/11VJc5cTt8aPUJWFNMWDc/FJZsqMDnqqHWX4vJZsSUaCQpVTplxN5nZ8qrs8qNs9LdWDYNFj1Zu1A2S9aV43XXUFdThznRiDXFhCUx9oxIIUR8u1K/NqWuth57iQO33UOCXoM1xUI4HGqog6u96AxajBY9GXH2cwUIBkPYSx24qjwolAosySZ0Rh2Ocieuai9qjQqjRU9qTiL2EheJaZaIQQxCdHY7W1793hqqy5x4HV4yuqbiLPfgqvagUqkw2Qxk78Q+bFWby6Ity0itO4jfU4PPU4PJasBo1ZOSIUs3CtGUXalffW4/jnInXqcPg9mANdWMyRZ7RtSm1SW4q72Ew2HMiSYSs5IwGqOXH68qceBx+vC4fBhMOgxmHem5Kc3y3oTobPakPWwvc+CqdFNfFyCzRyqOEjfuai8KBZgTTaTlJaPRaBrPr6upx17mxOeuIat7CvYSF16Xn/raesyJJqypJiw2U3O/RSE6jeZ6fhVid0w46B4A5s+9uo1zIsTOkeDjTpLKRYiOQ8qrEB2HlFchOg4pr0J0HFJeheg4pLwK0XFIeRVtSYKPoqNR7/gUsSs8Tg/VpU4W/7CMopXF9BzRnR5DCkjpksRXL//AsEkDSM5MRGuIHh26M4rXlrNxZTGLf15JWk4SQyf0w2QzkJgWuXRV5aYq1i0pZMlPy8gsSGfQ/v1IyUmOWH5ue85KF+UbK/n187/I6p5BtyEF/PvzSqpKHQzZrw+5PTJIyrDtVr6FaG+K15RRvLqEv75ZTFKGjREHD8ZoNUYsGxVPRbEdn6uG3+ctxlHpYsj4vmQWpKK3afj0kXnsc+hQMvJTsW0ul44KF6UbKvn968UYzDr2mTyQ5AwbBrN+B68khNhZxatLKV5TGlGmdSYdhStKWPLzCjLyUxk0vi8p2Ulx68KS9RU4Klws/PIf1GoVow8djMlqJCM/hbraOiqL7Cyav4SyDRUM3K8veX1zd+o7w+PwUlXq4Ne5/1JfG2DkQQNJzU6Ku3/stuylDkrWlvLH3H8wJ5vZ5+DBJGUlYjDJ94dovzatKmHNP+tZ/usqsnpkMmh8X6ypZua+/AP7HDKE5MxETLb42wKUbajA665h4ZxF1Phq2eegQSRn2MjMT6Wq2M7G5ZtYNH8JqTnJDJ00kOTsJLS6yFnIlcXVrF1SyNLf15DTNZ3+Y3qSkm1DrZbHHyG2V7SqhJV/rGH1X2vJ65dL3zG9SMlNRK+PrGvc1V6qSqr59fO/CNQHGXnIYFJzU2LWZ0Wry1jz7wZW/r2e3B6Z9BvdncTMREwm3W7ns2KTnbWLC1n251pyumXQf3QPUrMTo5Y/9zq9VBVXs/Dzv6jx1DDysKGk56diS5U9mkXnUl5Yic/pY+Fnf+Ku9jD8oMGk5aWiNIT57tVfGXnoUFKyk7AkbZ3JWLy2nE1rylj0wzKSM2wMn9QfnVnLsp9XsGbReroP7Uqv4d1Iz2t6iWSf209VqYPfvvoXn7uGEZMGkJGX0rhX7M4IBoNUFNpZumAFG5YW0mtEd7oPKSBNZkkLIYQQnYLMfNxJOzOyxe/3s+r3dVx/2F3UeGsajydnJXH33BtIzU/i2LSZ3PDmxQyfPGiXl2rbtKaMm094lKLVZY3H1BoVN7xyHj2HF5C0+WGqdF05Vx14KyVrt56n0Wq44/NrGTCuD2pNdKdLdZmDZ698ja9fb+gUGnvcvjx2xRuEgqHGcwr65nDruxeTuhMdrUK0pR2V1+I1pdx67AOs+Wd94zGlUsmVL1/AoAn9m/wbryi28++Py3ng/JcIhbZ+fXYbkMsNr55HcVUh14y4m1FThnHZszNAoeSBC17kz2/+i7jPjDuO58CT98VklT1Zxd6tOUaOxizTKiVXv3IR/cb24tSelwIN+yHf9vGVDBjbO6ouLF1fwYu3fsAPH/4RcfzImZOYOuMAilcWc8PhdxOoDzSm5fTM4u4vryc9P/5Sri67hw+f+pq37v8s4vj4o0cw864TSUyL/56riu3cceLDLP5xWeMxhULBZc/OYPy0MTKAQbS6nSmvG5YWce3Bt1NRVNV4TGfQcvvn15I/sAvTMmdy2i3HcviMAzEnRi/rVrq+knlv/8wb93wacXzEgQM4/94Tuenwu1n/X2HjcZVaxS2zr2DopIEkbA5AFq8r5+oj7qeiyN54nlafwJ2zL6P3iG6oVLLtvej8drZ+XfPPeq456HYc5c7GYwaLgbvnXk+3IfkkJDSUK1eVm/ce+px3748smxNP2Jdz7z05YjDsuqVFXH/MQ9hLt95Tb9Jy+3uXUjAwG4Nh19u/m9aUcfUR91NZXN14TGtI4O4PL6fnsILGcu2u9vD5s/N44do3I64fffgwLn1mBkmyZLNoh3anPVy2oYKFn/3JExe/yLbdev327cXVr17Es68+zS93reTwGZM45cZjsKZYKF5Xzq3Tn2D90k2N5ytVSq557hz67NONk3JnAGBJNvPA/FvI798l5mt7nD7mvfEzz1z/TsTxYQf04/LHz9ipQevhcJiVf6zhygNm4fds7T9LyrBx//xZ5PbK2qnPQYjWJjMfRVuSmY+io5En72ZUWVjNrGPujwg8QkPn4YNnP4Wr3EMoGOL2kx6lqqQ6zl1iqypx8OKsDyICjwCB+iB3nPE03mofAF6njycvfTEi8AhQX1vPTVPvpXKTnVgW/7iMr1//AYAjLjyEx698MyLwCA0PkW/e9ym1/rpdyrsQ7YmjwsU7934cEaQACIVC3Hf6E/gc3iav97lqogKPAGsWF/L+o3Ppnt8DgIWf/cnShSv54cPfowKPAM9c/w7lhVVRx4UQu8ZZ4eLtuz+MLtPBEPec9hg123Rm1NcFuPmYB6kqjq6D//t1dVTgEeCjp7+mdH0FPUd3jQg8AhStLObZq17H7/HHzV/R6tKowCPA97N/Z9EPy2Jc0SAYDPLF899EBB6hoaPmwXOepkK+P0Q7VLa+godmPBMReASo8dUy6+j7cVe4AXjllvcpXlMe8x72ckdU4BHg93mL+W3uYp78656I48FAkFnHPNBYrt0OLw9f/EpE4BEa9k2/+YTHdrkNLkRnVrymlLtPeSwi8Ajgc/m49dgHKF9f2Xhs4/LiqMAjwLdv/xxRV5WsL+fBC16KCDwC+D213H7aU9iLXbucT5fdw4MXvhQReASo9dVx0wmPUlXiaDxWuq48KvAIsODTP1nwSXQ9L0RH5an28vhFL7D9fIL/fl7BnOe+4YrLrgDg02e+ZvXf67FXuHjz3k8jAo+wuc187vP4t+nHclW5mXXsA9hLHTFfu2xjVVTgEeDPb/7jx4//jMpTLJWb7Nx4xD0RgUdoWPXjrpMfwVm5698VQgghhGhfJPjYjKqK7Liq3DHTlv26Cp+roXMyFAzxz3fRwYimeF1+FnyxKGZafW2AlYs2AA1Lpy787K+Y59V4a9iwtCjquNvu4d37PgGgS+9sNiwvIRgIxrzH128vwFEZ+z0K0RF4qj18sznQvr1QKMQf8/5p8vrf5y2OCjxu8fXbC3DbfVtfy+Fn9pNfxb3XV2/8vBM5FkI0xWV3880bP8VMCwVD/DnvXz5zv9x4rNZXy7ptZk0BlG6o4ONnv437Gp++MJ+APxQz7acPf8VRHrtzpL4uwMdPfxP3vh88NhdnlSdmWnWpkw8f/SLutT+8vyBumhBtxev28d/Py2Omuas9lK2v4PXChwH49Jl5UQPdamvr+eLl2HU0NJTF8o3RA+kC9QGWLlwJgLPSw78/rYh5vcfpo2Rdxc68FSH2Cl6nj/VLNsZMq9y09dm2rqaeDx//Mu593n/o88Zzfe4aVm1+Nt1edbmL6jh1ZlOcVR7+W7g6Zpq72kt5YUOQNBQK8enT8dve7z/4GdVljl1+fSHao/nvxH+W/Py5r6ku21rW3n/4C7wOL9/P/j3m+cFAkH9/WsnnNW80HitaWYyzwhnz/Lmvxa+rZz85j+ry2Ndtq6rYHrc8rvprLY4KCT4KIYQQHZ0EH5uR2xG7A3GLum1mDG7bENwZ9XWBqA6abW1pmNXXBpocZeaM0YCrrwvgtjfkXW/W425i5ld9bYBgfezApBAdQTAQanL2bnVZ0w9KTT0E1frrCG5TTjUJKtzV8ctTVUk1oVD8ci2E2LFQMERdTdNlWqFQRBxzbTeIJhgINllWXXYPdXWBmGmhYIj6OGmB+kCTA3Zc1R6C9bGvDYdCeB2+mGkAVXFWMhCiLdX565tMd1d7GveQc5Q7CWzXpqyvrcdlj9+edts9cQcAOTbX3/V1TefBs4MVDoTYm+xoRZstM5ICdYEmZyG57J7G8ryje3qd8eu2eHZcrhvuGQqEqI4zUwsaZnPFG2QrREfjbCLA19C/s7W+dFW5CdaIAQE4AAEAAElEQVQH47ZZARzlLpTKyC7C2proshcKhagqbeK1qz2Egjue+bhlcH48dbLilhBCCNHhSfCxGWX3yIybZrQaMG2zr82g/fvs0r11hgTScuPvQ9d3n24AGCx6kjPj72PRfUhB1DFTopFhBw4EoHBFMd0GxF7XHyC3ZyZ6k25nsy1Eu6PRaSho4m98yMT+TV4/eHz8stu1fy4a7dZ95Gq8tQwa2zvu+fseMSzqAU8IsWs0Wk3c/WgABk/oj88X2dG5fV1otBoYuG/PuPcYun8/zEmx91dM65KC0RI7TWfQMvrQwXHvO2xiP4xx9n3VmXT0Hxf/+2PU4cPjpgnRVoxWAyabMW56lz45zJkzB4AxU4eToNNEpJssBoZPil8PDxzbC71RGzOt3769Gu5hNWBOjJ8H2UNKiK0syWa0+oSYaUqlkpTN+6DrTFpGHTo07n2GTRqIydZQn5ltRvSm2OVUoVCQWZC6y/k0WY1N7pOe0z0DAHWCmrFHjYx73tBJAzBa438/CNGRDD9kSNy0AeP6oErYWseOPHQICboEcnpkxL1m4NheuN1bB81ptBqsKdH72SmVSsYeHv/7YNC43hjMO+4zSs9LjRoguIXepMOSbN7hPYQQQgjRvkmvdzMymPVMPGlszLSTbzgWS2pD46nX8G5kdk3fpXtnd0vnrFuOjZk2cGwvbKkNjcKU7CRmPnhazPNGTRlGclZ0YDJBq+GYy6agM+rwuXy4Khz0HJof8x4z7z6BxDTZUFl0XFld0zn3vlNjPuh0H1Kww7KZVZBGtwG5UccVCgVn33osyVlWoOFhbcDY3px2w1GoNaqo89O7pNBvZPfdfBdCiC2yumVw7r2nxEzrMbQrmV3TOC7tvMZjIw4eHDVIx5Zi4egLJqOLEdSwppjZ76jh3Hb0gzFf47yHTic5K/bgIIVCwehDh8SsN7WGBI658KC4nb7mRBMz7jsVpSq6qZbbK4vuQ/JjXidEW0rJTuTUWdNipo2fNhqDRc/zp3xESnYSwyYNjHnesAn9SMmObq9qtGpOvGIKYU30rI3+Y/uQntcQ0EjKsHHWrNht5vHH7ENiqrRjhdjCmmxi2lVTY6Ydes4BGCwNAT+lUsm4o/fBGqP86Ixajr74EBJ0DfVZYqqZEy+fEvOeB5w4Gp0hdmCyKckZVs64+ejY9zx+FLbUrUGKIQcMIDUnOeo8jVbD9BuPk4G0otPoPjg/5oAapUrJWXeehCWlofyabAYOPGU/srqmcfatx8W8V69hBaRkJzIt+dzGY8dfPZWkDFvM8/uP6Ul6l5So42qNilOvOxKDOfbAvG3Z0qwces6kmGmn3jKNpBh9V0IIIYToWCT42Iwy8tM447YTOfWWaY2jtDLy07jixfMZe/Q+nNrjEo6++BBueudSktJtu3z/XsO7cdNr55Pbs2GGpcGs4+gLDuR/j51OZn5Dh4tCoWD4QYO59eOrG2diGq0Gpt94LJc+MyPmyDWAjK5pPLbgDoYdOIjnr36dEy89hMPPntDYEZvfN5u7P76cviO67XK+hWhvuvTJ4s4519N1YB7QMDtpyszJ3PTe5WR1iz8aFCCraxo3vHIeh54xvjFo0LV/Lnd8cCnZ3dOZop/OwPF9eXTBHWR2yyCnRwYPfXUd/UY1BBrVGhWTThzDPZ9cQWp2/NnMQoid16VvNnd9GVmmDz9vMje++z+0toZR30argZOuPZL/PX0O1pTokdTJOUnc/8XVDBnfB4VCgVKlZPRhg7n30yvJ6Z7BFS+ez4nXHtXYmdKldzZ3fH4tg3cwWzq9SzIPzLmGcUcObwwkDtm/L4/Mu66x7o4nr18OD/94G71GNHx/aLQaDjtnEnfPvYGU7OiOVSHamt6kZ9Rhw7jqlQvJKEgDwJxk4pSbjuPsu6ezYsMyJhw/hvvn3RCz0xIaBtzd9eH/2O+oEajUDYN3Bozpyf2fX401zczGRSXk98vd/Ho6jrviCK5/61ISN7etVSol+04ZyvUvz2wsYyabkdOuP5IZdx7f5KxIIfY21lQrB54ynoufPLsxYGdLs3L23Sdz/FVHRgTx0vNSeWj+zYw7eiRKlRKFQsHQSQN45IdZZGxTn5kSTYw7cjiXPHJq48o91mQTp91wJNOvOjxu2W+KSq1ivyNHcO2LMxqvNycaOeOmoznr1uMiZlyndUnhge9mccDJ4xq/Q7a0zbO6N93OF6Ijye6eyW2fXsPk0/dHo21o7/Ya0Z37v72ZlNwkjk2dwegpQ3l4mzJa0DeH2969hPy+2UDD4IHDz5nANc+di8bUMDg3OSuJy56ZwdQLDok7SC41O4l7PrmCSSeMbhxo239UDx766romZ1duy2g1cNqsaZx73ymN/VRpXVK4+tWLOPDU8Wg06h3cQQghhBDtnSLc1AaBopHL5cJqteJ0OrFYmh4x7ffXUVVYSTAQQq1RkZafQlVRNUq1isQ0S2PDcHcVry0jUB9EqVJiS7NgssRegsZeWk2trw6VRkVyZmLjw1dTPA4vHocXhUKBKdGI11VDKBhEZ9A2zq4Uor3b2fJavLaU+poAKrUSc7IZ6y4s7eKye3DZPYSCIdQJGpKzLDhKXYRDYYw2A+ZtllmGhr3dfK4alEoF1mQT2t0Y9S1EZ7Qr9euOFK8po762PqJM28sc1PrqUGtUJKbbYs5E3lZ5YRW1m/eQNJj1JG8z4jtQH6C61EkgEEBr0O7SQCK/pwZXtRfC4YalKZtYPm57zkoXfndNY72/ZXaJEK1tV8rrplUlBOqDqNRKEjOsuO0+FEoFlmQTeuOOZx5VlTrwu2sIh8Mk6DWk524NWFSXO6nx1qBSq0hMt6JJiN22tpc6qK2pR61RkZRhRaXacVtYiM5iV8prIBCgdF0Fwc1lNi0/hYSE2HWN31ODq6phacYdLbVctLqUYCCESq0kOTsJfZxAxq7YUq41CQ3lP165rvHW4Kx0E95c727fNheiPdmT9rCj3Inb4SUUDKHVJWDLtOAscwMKzIlGDDG2ByhZV059XQClSok1xYzRosde4qC+th6NVkNyVmLcJVG3VeurxVnVsB+zwaLDshvlLBgMYi9xEKgLkKDTxF1RRIj2ojmfX4XYVRMOugeA+XOvbuOcCLFzJPi4k9q6cqn111FfW4/OqCMcCuGq9qIzJGCME3jcEUeVh9qaeqw2IzqjdGI2l5pgDa56DwmKBGxaaYS0leYqr/V1AWq8teiMWjQJ0SMvPQ4vdbUBzEkmNDECGhUlDlAoSM2w7nYeRPPZWj612LSyh0h70db1q9flB8IR9Wl1hQulgrirBcRT463D6fCi1WmwJXfOTk57nZNAKIBNYyZBJe2HvU1LlNem6lqn3U0wECIpbcf1qM9Xg7vaT4JeQ2JS5yx/rSkQCFAdcKJWqklMkHZMR9SS9avP7W8I6u3gWbTGV4vP5Udv0u1wudOKMiehUIj0TFlqsb2qrnNRH6qXNkALaO7yWuurpa4ugMGkizkIvb6uHpfdS4JOg7mJAQQAzmoPNb56jFY9Jlm2uN2oqLGjVChJ1traOit7nbZ+fhV7Nwk+io6mw69jcNdddzF79myWL1+OXq9nzJgx3HPPPfTq1avxnHA4zKxZs3j22Weprq5m5MiRPPHEE/Tr168Nc75zvE4fhatKmf34XDRaNYefcwC/fP43//60gqR0C0fOnER294yImRlNKd1UTUmRnU/eWkh1pYcBw/KZfORQUjJs6PV7NiNzb1ZfX095vZ355QtZ7FyJRWPisMz9ydSlkq7f9aWFRNuq9ddSsq6Cj56ax7r/NtF1QA5TZ0wisyAVrV5LxSY7G5Zt4pPnvsVd7WXI/n2ZOG0UOZuXciourOKf39bx7ef/ADDpiMEMGFZAVq6M4mwL/no/VfVOvilbwFLXamwJFg7L3J90XTLpOimfe6uqEgdLFqzk8xfmEwqFmXL2BHoOyefv75bx7fu/olIpOWj6WPqN6k5GXtPLo/r99VSUOPjq479Y8ud6ElNMHHHiKDJzk8joJPvVlPor2eQv5YvSH/AGfAy29WFc6nCy9bu2h7UQW9T6aylZX8nHT89j7eIiCvplc+R5B5KRn4qz0s3yP9by5as/UltTz7ipwxh58CCyNi/lui2PpwZ7uYs5H/zBsn8KSU41M/Xk0aRl2siIsXek2LFifzkLqhbxu/1fdCotB2eMI9+QQ4a0afd6VaUOli5czafPf0swEOSg6eMYMqFv1FYCfm8tpRsq+PT5+axdXEhGfgpHzTyQjPyUqJVGSgrtrFhSxJzZfxCoD7Lf5P6MGNuTrC6yvHh7sX0bYJCtN/uljpA2QDvkrvaycUUxsx+fS1WJgyET+jL55LGk56WgVCoJhUIUry1n3lu/8M8Py7GmmJl67kS69MoiZbs2a1mxg4pSBx+9sZDKMie9BuRw6LEjSEmxYLRKELKtlPgr+Lt6KT9V/YlaoWJi2mh6mQvI1Df9vCKEEEK0hQ4/8/Hggw/mhBNOYMSIEQQCAa6//noWL17M0qVLMRobRnDdc8893HHHHbz88sv07NmT22+/nR9++IEVK1ZgNu/c7Je2GNni99Tw1Rs/89RVb5CUbuXSx87grrOfwe+pjThv+tVHMOXs/bHtYIZGWXE1cz74g7ef/yHiuMGk5d7nz6R7n+jNysXOWecp4sYlD+MN+iOOT806gEMyxpOul4fn1rQn5TUYCPLH10uYdeKjhEJbvx6VSgW3vHMx3QZ24c37PufzF7+LuM6SZOK+z69CY9Rx5xVvs3p5SUR6z37ZXHP3cdKR0gbWeDZy45JH8AdrIo4fl3Mwk9LHkKaT30lbaov6tarEwZ2nP8V/C1c1Hrvx9Qt59c6P2LC8OOLc/qO6c8XTZzUZgFy9rJirznoRnzeyfj7xnPEcfPQw0jt4ALKsppL3C+fydfkvEcetGhO39b+UXENmG+VMtLbmKq/BYIg/v1nCLcc/ElXXPvrdTbx8+4f88fWSiGsy81O5Y/ZlUQHIFUuKuPrsl6jx10UcP/2iSUw4bBDpmbbdzufeaJO/jJuXPEpVnSPi+OikIZxaMJUMnXRudhTNXb/aSx3cc/az/PPj8ojjeX2yuf2DyyICkH9/v5Qbj3uEQH0w4tz/PX4GY6cOw7B59lRxYRWP3voxi35bF3FeTl4Ktz4xnaxcaaO1tbKaSj4o+op5ZT9HHJc2QPNqjvLqc/v5+JlveOW22RHHDWYdD8y9joJ+Oaz7r4grD7sXj9MXcc4xFx3EMRdMJim9YaZ7RYmT7+cu5vmH5kacp9VpuOvZ0+k7qMtu5VHsmRJ/BXcue5oif2nE8X6W7lzQfboEIFuJzHwUbUlmPoqORtnWGdhTX375Jaeffjr9+vVj0KBBvPTSS2zcuJE///wTaJj1+PDDD3P99ddz9NFH079/f1555RV8Ph9vvvlmG+e+adXlLp659i0ADj1jf966/7OowCPAG/d+irPSs8P7+by1UYFHAJ+nlqfv/YKy4uo9zvPeqKLGzsvrZ0cFHgE+Lv4GX4zjov2ylzq4f+bzEZ2hAKFQmEcufoXqMldU4BEa9oDMLEjlj59WRgUeAVb+t4l/fl8XdVy0rPKaKl5Y+35U4BHg/aK51ASjv1NF57dkwcqIwGPfkd1Zs3hjVOARYMnC1Sz/Y23ce5Vuquape76ICjwCvPXc9/i9dTGu6lhc9Z6owCOAs97Dmxs+w17nbINciY7MXlLN/TOi61pbqoX1yzdFBR4BStZXMOflH6ivrW88Vlpk5/E7Po0KPAK8+sQ31Pg6fvlrTa46Dx9v+iYq8AiwwP43FTXyrLA3W/bH2qjAI8CGZZv46eM/2DKmuWR9BQ9d9HJU4BHgiavewF7qaPx57YrSqMAjQNGGSr7+ZBH+GGVbtC5XvScq8AjSBmiP7GVOXr39w6jjPncNT1z+GhWb7Dx7wztRgUeADx6bi6PC1fiz31/Li4/Oizqvtqaex+/4lOIie/NmXuxQbaCWHyv+iAo8AvznWs0az8Y2yJUQQgjRtA4ffNye09nQ+E1Kahh5uW7dOkpLS5k8eXLjOVqtlvHjx/PLL9EdaVvU1tbicrki/mttaxZvJBQMAVDQP4dlcTo/w+EwSxas3OH9/onxYLfFkr82xOy4ETtWE6pjsTP+57/IsawVc7N3as7y6qh04672xkxLy0nm17n/xr22ssLN158uips+75O/KS927HbexK7zB2tZ5l4TMy1MmMWuVTHTRMtp6/rV5/bz+QvzI46NOHAAP3/6V9xrvnrjZ9zVsQf51Prr+O/vDXGv/fePjj/oYEHVorhpv9n/xR+IDu6LzqGlyquj0o3LHl2mBu3XhwWfL4p73fwPfqWyxNH4s99Xx6ql0YMGoGHQ0PLFhXua1b2KJ+jj58o/46Z/X/FbK+ZG7KqWrF9rvDVRdee2vnzlB5yVbqBh2cfywtiBiVpfHeWFVQ3nOX3M++TvuPec/8U/2Mvde5Br0RykDdAyWqK8/rdwFfEWNluyYBU+Tw2Lvo8eQLDFn9/+1/jvVUuLG/uitrd2RakM7mkDVXVOfqj8PW76t+ULcdS1fr/l3qCtn1+FEKIj61TBx3A4zP/+9z/Gjh1L//79ASgtbRgVlJ4euR9Benp6Y1osd911F1artfG/3Nzclst4HOHQ1sbejlbHjdcwjDgntIN77PgWIqYwYeJ/tsFw9Khf0byas7yGmyonih2UtVC4yXIWCoYIdeyVrjudUEjKZ2tr6/o1HI5RHyoUOy67cdJ3VKKDO1E/t3dNt0HCoGi1rIhW1lLlNd7flFKpaLIeDgVDDYV4B/fZIhiUOndXhZr4VguFO/73WWfWkvVrONx0GzkYDDWWxx0+t4a2nNf0PUOh8A7vJVqetAFaRkuU19CO6rxw07/PYGDrc9GO+o6afGYWLUPR9O8vFA41WYeL3dfWz69CCNGRdarg44UXXsi///7LW2+9FZWmUES2isPhcNSxbV177bU4nc7G/woLW3/kdLeBeY15LFpVSvdBeXHPHTCm5w7vN3ifgrhpvQbkoNcn7HomBVplAn0s3eKmD0ns24q52Ts1Z3m1pVowWPQx08o2VLLPQQPjXpuUZmT/gwfETZ9w6EAysjv23m8djU6lpbsp/p4kA2y9WjE3Atq+fjVa9Bx86n4RxxZ9v5RRBw+Ke80BJ4zBmhx7j2idXkPP/tlxrx28T9fdy2g7MjI5/mczNLEfWqW0HzqrliqvthQLRmt0XfvPT8sZeXD8enbcEcNJyrA2/qw3aCnokR7zXIVCQd9B0jm0KwwqPaOS4pf3/VJHtGJuxK5qyfpVb9Jx8Gn7xU2fdNK+WDbXk5ZEY0Q53ZZGqyYjL6XhPJuBiYfF/3sbd2A/ktJMe5Br0Rx23AbQtmJuOo+WKK/9R/eIm9ZzaD56k5Z+TZwz/ID+W8/vlx23v6xL11T0Rmn7tbaUBBtjUobETR+ftg9JCbG/e8WeaevnVyGE6Mg6TfDxoosu4pNPPmH+/Pnk5OQ0Hs/IyACImuVYXl4eNRtyW1qtFovFEvFfa0tMs3DKdUcC8PmL33HyVVPQaNVR5x05cxLWlNidotsymnQcfvw+Uce1Og0zrzqUjBwJiuyONF0yZxYcE7PzdVLaGEwqQxvkau/SnOU1KcPGxQ+fGjNt5j0nkZRhZcKxI6PSDGYdm1ZVMGZiX3LyU6LS87qlMWLsjgcJiOaVrkvm7IJpJCg1UWmHZo5Hr5IOk9bWHurXweP70HXA1qDEPz8sp//oHo0dotvqPrBLk505GdlJnHf1YSTEqJ8PP2EkemPH/xuzaSyMSY7u7DCodJycdwQpWmk/dFYtVV6TMq1c+ujpUccrN1VT0C83ZplLzrRxxLkT0eq3lqnM3CQuuG4KGo0q6vxjT9sXvUE6R3eFLcHMMTkHYVFHB3wG2/qQoYv+jhTtR0vXr/1H96DH4OjBsBn5qUycNgqVqqFrIT0vhYsePAWlMjpwcdasY0lM25qvnv2y6TUgJ+q81AwrhxwzHINB14zvQOyOHbcBbK2fqU6gJcprYrqVYy8+OOp4gk7DRQ+eSlpOMjPvPB5tjLrx4FPGRZRNnV7D8WeNizpPrVZxwXVTyMpN3uP8il2ToEpgYtoo0rTRn303Uxd6m+NPNhB7pj08vwohREelCHfwtUzC4TAXXXQRH374Id999x09evSISs/KyuKyyy7jqquuAqCuro60tDTuueceZsyYsVOv43K5sFqtOJ3OVq1oXHYPaxcX8s4Dn2NLszDl7InMe+tn/lu4msRUC0dfeCDdB+aRkrVzHX+lm6pZu6KED19fgMPupd+QLhx58miS0kxYLMYWfjedlyfgobrOzWfF81nqWo1FY2ZK5v50NeaSrpeOmta2p+XV5/FTtKqUtx/4nI3Li8nrnc3xlx9Gbo8M9CYd5UVVLPttDZ889y0uu5fB+/XmiHMmktk1FbVaTXFhFT/O+4/v5ixGoYCJhw1izMQ+8pDWRly1PhwBB58Uf8sK91qsGguHZ00gz5BNhpTPNtdW9WtlsZ2Fc/5hzsvfEwqGmHL2BIbs34/vZ//G9x/+jkql5MCT92XUwYPIyEtt8l4ulxd7uYcPX/+FpYsKsSUZOWr6aAp6ZZLZSWY7l9VUstK9ns9LvsMb8DHQ2ptDMvcjSWPBoJFBNnuL5iyvfk9NQ1374GdsWFZMl95ZnHD5YeT0yMBV5eWv+f8x55UfqKupZ8yUIUw6YQzZ3aIHDjrtHuyVHj547WeW/1tEcpqZo6ePIa97uqw2sJs2+cv4uvQX/qhegl6l46CMfeln6Sl1ZgfTEvVrZXE1v839h89f/I5gIMikE/dl/NEjSM2JbOO6HV5K11fw7sNzWLd0Exn5KRx38cF06ZlJYlrkzJySQju//7yKrz76i/r6AGMn9WPiYYPI7iLt5vZC2gAtr7nKq7PKzapFG3j3oS+oLnMycFxvjjrvQDIKUlCr1dTX1lOyvoKPnv6axb+swppi4siZk+g5tIC07KSIe5Vuqmbj2nJmv/oLVRVuevbL4phT9yUx1UxiksxKbivF/nJ+qviDn6v+Rq1QMTFtFEMT+5Gpb/p5RTSftnp+FQJgwkH3ADB/7tVtnBMhdk6HDz6ef/75vPnmm3z88cf06rV1+Tyr1Ype37Cc0z333MNdd93FSy+9RI8ePbjzzjv57rvvWLFiBWbzjmcMQttXLl6Xn7qaOgxmPcFgCLfdQ4JOE/XwtrPKSxzU1wcxmrTYpOHYbJy1brwhP2qFmjRd0o4vEC2iucqr31tDjbcWnVGL3hg98tpe5qC+NoA1xYzOEDm7KRAIUF7ihDCkZVlRq6NnRYnW5arz4An60CjUpEr5bDfaun51VrkJh8NYkkwolUoCgQD2EicKpYLU7F37O3HYPXg9tWg0KtIybS2T4TZW7q8iQBCT2ohFI4OW9jYtUV6bqmsri6sJBkMkpVvQJETPYN+W0+7B7a4hQasmLcPWLHnbm/nqa3AGXCgVStJlxmOH1JL16/Z1Zzxuhxevy4/OoMW2g5V6igvthMNhklLNsh1IOyVtgJbT3OXV6/RRXxfAYNaToIuuP/2eGlx2DxqthqT0pvuUKkoc1NYFMJm12JJ2rv9MtKy6YB1VdQ4UKMiQoGOra+vnV7F3k+Cj6Gg6fG/4U089BcD+++8fcfyll17i9NNPB+Cqq67C7/dz/vnnU11dzciRI/nqq692OvDYHhgteoyb96ErLbITDIUJeOsw1Nai1e76km7xOkUrHW58tQEALAYtnmo/0LC8RkZW7GvEViqlEi1qFAoloXAIpSL2w3h5TSXBcMOG7skJiSSo5AG7PdIbdY0doYFAgLKiagCUSiWZXZJJSrfFvVatVkfMdCyrclFb3/A7TzTqMJtj7yspWo4lwYSFnRtsURuopbreQRhQKVSkScdrp7VlL8fiDZWN+0FnxVh+dWfYkkxxB/Q4qj143bWEaVjKKiV15x9US6pc1Acavj+SzAZMhrZZyjUYCqJWKlGhQBV/22ycdW58QR8AOqWWRFmSTTRh27p2W+5qL7V1QSCM0+4lZQcBRWuSCbPNSJXLS6ndTaIxAXull1AwTBjI2MmBQGVVLmrbQXlrc4owCUo1ChQEQgHUyh1/dlL29w7OKg8edw0AwRAkp8Wvz8w2I2bbzgWpsnJ3bsBPcVE14VCIMJDTxOxIp9uP09eQT12CmrTEjvPs3x7tbBsAoKKmkoA867YpozX2jNSSwipCwRCEISXLslN9SalNDKhzu/04qxu+97VaNak7CGTGs7Fs83O2QkFOWvzXEw1ChElQalAAdaH6qC1GSvxlAChRki7BSSGEEG2owwcfd2bipkKh4JZbbuGWW25p+Qy1oLLiako3VPHyA3NY8U8hthQTR5yyL/sfMYSMnD2bxVNfX09hhZNnPlnAD4vWolQqmDyiF6ccOIxHb/oIpVLJmRdOIi3LQpo0BqPUBmsp9Bfzxob3WOFeg1lt4tDMSeyXOprEBFvjeZU1VZTXVvJ24Yes9qzDojEzOX1/xqaMkuBGO1ZaaOeXeUv48KUfqCp10a1vFqddfjC5XdNI30HZc7m8lDi8PPnhzyxcugGdRs2ho/tw8oHD5MGqnSqvqeSXyt+YWzYfZ72L7qYCjs89kjRtKqk6WQKssykttLPk97W8/eQ3FG+oIrsghRMvmETfYfl7XLduUbSxivde+Yn5X/1HMBBk1H69OOXc/UnLTMRgiD+by+70UFrt4YnZP/HH8kIMugSOGNuPaROGkJ26e507u8teV823ZT8xt+xbvAEf/Sy9OCnvWLJ1GRGdiiX+Mj4p/pIFVb8TDIcYmjiQ43KOIF2TikbT9Mw1IbYo3lDJB89/z/xP/qautp7h43tz2mUHkZqThMkUew+4SqeXOQuX8fpXf/LyZcexaGkJrzw1n7WrSklJs3DMyaMZPb533MF0do+fskonT8z+md+Xb2wsb8dNGExOauxrOqNAKEBJTRlvbfyAfxxL0aq0HJA2joMzJpKsjf+dWOIv4+PiOSyo+oNQOMTwxMEckzOFNHUKCQkSeOgsitZV8N4z8/n+80WEgiFGTuzL9Esmk5Wf3OLf8SXF1axfXc6rz8xn3aoyUtOtHDN9NKPG9oxaYrmw3MHrX/3BnAXLqA0E2bd/PjOP3JfMRDPmON8hIr6YbYAux5Ktj2wD2Gurqait4u3CD1nhXo1JbWRS+nj2T91XnnXbWFmRneLNfUmrFheRlGZm6mljGXfIIDJ2MvC/veIiO7PfXMg3X/xDbU2A4aO7cdp5E0lJN2O17tygg00VThb+t55Xv/yD4ionXTOTmTF1NL3z0slKad22bkcQCocoq6ngvcKP+a26YdnVsSmjmJp9MKnaFMprKvnL8S+fF39FVV01XQzZHJczlS7GbFK1UgaFEEK0vg6/7GpraQ/T6hd+8x+3znwlKuA6cmIfZt44lYw92E9uXYmdM+96C7evNuJ4eqKJRy8+ivOPfhKlUsGdj01nyD5dd/t1OqvlrlXcuvR+GsbWbzXQ2pfzu5+FVdMw0vbv6sXct+LxqPMGWftzZsGJpOlkVFpzaM7yWlZk55WHvmT+x39HpV394EmMPXRAkzMpVhVWcPpdb1FbF4g4np+ZxEMXTiU3Xfajak/Kaip4Zf3b/O1YHHFcgYIrel3A0MSBbZSzzqst61d7uYvP31rIm4/Ni0o75bKDOOT4kSTuYJm4Hdm0sYprLniN8lJnxHGjScvDL55Fl4L43/tL15Vy1j3vNM563KJnbir3nDeF3LTW+f5w1Dl5cOVTrPKsjTiuUqiY1e9qupnygYbgw+3LHsReVx1xnlFlYFb/q8nWZ7ZKfkXLaY3yuml9JTed9QLFGyojjusMCTz0/kXk98yIusbh9nH7q/P47u81fP/IBfwyfxn3z/o46rwDpwzilHPHk54ZXXaWrS/lzLvjlbfDyd1LBgwV+jZx/eI7qA9Htlty9dlc0+dikhKiP7tSfxm3LXsAe50j4rhRZeDW/teQpY/+nYmW19zlddP6Cq455RkqSyLrM5NFz4PvXUhut7Q9fo14fL5afpj3Hw/d/mlU2iFHDuXEM/cjPbMhULGxrJpLHvmQwnJHxHl67f/Zu+/wOIq7gePfK3u9n3pxlXs3rhgwNh3TO4QaINSQQAIESEJCgLwkhEBIAqH3GjqEXgzYBnfj3m1ZXTpd7+39Q0b2+e5kyTpVz+d5nCfs7O2OdJqd2flNkXjm9vMZWio64DvCFXHz902Pssm3NeX4vm0AgLXuDdyz/u9p77qjjMO5auglFIp33ay6un799qMfuOf659OOzzpuHFf8Zl6H+5KqKx3c+atX2LUjta5Wq5U8+NTlDMlQV++r3uHh+U+W8crn6e/ZN18wl5NmjkCvFasF7a0+1Mjtq+8mEA+mHLerbNw5+te8Vf0BXzYuSPvcVUMuZqZtKmrlQbqaQ471hv5h4eAlll0V+prsGzQIvUr1jiYev/f9jDM9v/9iPR5X4ICv7fUHee2LFWmBR4B6p4+Fa3dw7CkTSSSSPPbQJ9RUNR/wvfojd8TL0zteSnvJAvjBvY6msAOAumADz+98LeN5q9xr8ER9XZ5XoeMCvlDGwCPAE/e937oUayaNzR4ef29RWuARYEdtM+t21Ocsn0Ju+GK+tMAjQJIkz+98jbpgQw/kSugqfm+I1//zZca01x75Ap8nmDGtI5Ys3JwWeATw+8K89cr3uLPU37UOD/9669u0QAjApl2NbK/pvrq4NlSfFngEiCfjvLDzNXxRH7FYjGXOVWmBRwB/PMAndV/ij/q7I7tCH7dm8ba0wCNAKBDh9f98ibMpvb3U4PLz1YqWjnFnk5cn//lZxmt/+v4qgoFo2vFah4d/vbmgjfLm6OiP0ScF4yFe3fVOWuARYFewmh3+XWnHY7EYi50r0gKP0FL2P637Cn+0889SoWfFYjG++2xdWuARwOcJ8u7zC/C6u+4Z39zo46l/fp4x7aN3lhMK7nmPXbm5Oi3wCBAMR3nmf4tpdot3ro6oCzWkBR4htQ0A0BBq5IWd/834rrveuylj+0DoHtU7m3j8z+9nTFvw8Wp8nlCHr7lxbXVa4BEgHI7x4pNf09Tk2e81/OEor32xMmPaI28toMkt6o69RRNRPqr9PC3wCJAf0RJKhPmqcWHGz75c+RaOqCiDgiAIQvcTwcc+IhyMZOyI+dHapdsP+NrN3iDfrd2ZNf3rVduYOHMoANs21RMJp3dIHMyCiSCVgeqs6es8GwAIJyLUhrIHm9Z7NuU8b0LnbVmb/bt11Hvwe7O/rAXCMb5fV5k1/Yvlm4nFEp3Kn5BbGzxbsqbVhRoIJ9IHaQh9l8vhI5phcABAOBTF3dy5jtSmRi+Lvs7+bF+2aAueLAHOaCzOkvXpHf0/mr8yvSOwq6xwpgfkf7TBu4VgIow77mG584es561yrcUTEx2+Qtt8niCLPluTNX3ZNxvxe9ID9j9srWn9/35fGKcje9ndtjm9LRaNxVmyIXt9/dWK7HVDfxKIBfnBtTZr+iLHkrRjrri7zbK/0r0GT2z/ndBC7+Zs9PL9l+uypi/7ZiOe5gMfDLs/Pl8o62CdZBJ2bmsEwBsMt1leF63diTcY6ZI89ldtle8f2wDQsu/cjkD25+gP7ux/P0LXCvrDNFRnDzxtWJG9LyiTSCTGgq82ZE1f/v02QhkG+uyrpslNIstCbL5gGI+/40HR/swXC7Dclbk8/mrsr6gK1GQM/gN4Yt6MQUtBEARB6Gp9fs/Hg4VCKUcmk2Xd49JgyryheCYutx+PJ0QslkClUiCpFeg02fdi0WtVRMMtjUeFQo5CIWLWe1PIFChkCuLJ9NHyACalHmcwSCyi5c5h96CSy9kZXs9jO55LOU8vtf87FLqP3tj2Ui+SKvNjtL7ejUzWUn78ocydHEadGqVSlKcDVeP1EIhGSSSTaJVKys2WTl9Tr8z+fcuQoZApOn0PofeQVG1/n9nKd0eurzNkX95Ip1cjl8HOnU1otBKFBal72+g0KnzBzAFvk777lk0ySNn37VHJVciRIckltIrs+2hpFVpkyLoie2mqvW4C0ZagslappMwk9gzqK1QqBbo26l2dUYNcnv53ZNTuKQ/7K7f6LGVSp1FlXAUEwKg/OPaIk8tkaBUaorH0TuNnJ/+TmoCfjY4mFDI5JrWaAr0elVxCp2jjO1NoRd3ZD0gqCV0b9Y7OoEGWoWzm7P5S239DP+ZNpZRj0GbPp16rQibrnrqovzC2ow0AIJfJUcgUnFN6KmMMU4nGE0hyBTGZn39seRiDQrzr9pT9lR+9uWNLm6pUSgzG7PWi3qBuV4tPq257n1hJKeqOvSlk8qxt7XA43GZdDCDJWtpHsViMXT4P4XgcSa7AqtVg04jyKQiCIHQN0evdR+j0aqbMHpExTSkpGDGhvF3Xqal18Z8n5nPFNU9z+dVPcfNtr9FQ4+asI7PvY3bmEeN587lFAMyaMxKdUawTvzej0sB02yEZ035ZfCWD1eN4cMlCTnrtBY5/5TnOf+e/1DYZuWfkPa3nKWQKRhgquivLQgcMqChArc38YjRmymC0+tTAvc8XYuOmOu6+7z2aG3ycdvjYrNc+eVb2NKFtGx2N3PrFJxzz8jMc+8qzXP/JByyrrcYR6Nyo+2HGoVk7SSdaxrYZXBH6HoNZR15x5sBUQakVg6lz37fZrGPe6ZnrB4B5Z07hvY9/4NKfPcmf//IBm7fUEQy2dPpbDDpOmTUm62ePnTayU3nriEMsE7KmHZl/KCbJiEkyckzh7KznHV04myJt1+0HBuANBlnTUM+Nn37IMS8/wzEvP8ONn33I6oY6fCExer4vUGlUHH/utKzpJ5w7nYKy9D0Hxwwpah0cp9VKjBxbmvHzWp2K0nJb2nGbse3ydvz07itvPamlHB+Zdvyvo/7KgpoqLv/f2xz3yrMc/+qz/PGbL9juasYkmTi6zbJ/JAUascdeX2exGzjxgplZ0+edP4OSgV33Pev0aoaNyrxvsE6vprDEAoBakjjtiHFZr3P6EeMosXduL+eDzSHWiVnTfmwDQMsAvj8M/wPK0BB++v7bHP/Kc5zwynM8smQ1N1fcxiGW7NcRupZWp2biocMypkkqJRWjM9eZbTn25IlZ0447ZRJOb5DaOleb18gz6zEbMre1h5bY2xxIcDAySUZOLD4mY9r1m28jX5OX9V11iH4gWoWGSrebNzat54J3/svxrzzHvNee54HvFlLpdnVhzgVBEISDmQg+9hH5JVauvO1k8ostKcflchk33XcuujZGnv2optbFn/78Lh99sppotGWWXl29mxtvfpnJw8qYOWZg2mfmzRyFXqZg57ZGikutXHrNXOzihS2FRqHmvPLTKFDnpxyXIaPYMow7vvqMZ1evJBhrmYVR7/dx+/zP+GrnLm4Ycg0yZFw15GI0IqjRKxktOm554AIU+8xQtOYbuf6uMygqs6ccb2r28cubX2LN2mpuvPll5s0YzZjBRWnXvei4Kdj3M6tSyGybq5nz3n6db6p2ti4ss6qhjvPffp2GQOeWddTINFw99NK0GVp5KhsXDjwLuzq901rouwpKzfzm7z9Bo0sdRKAzqPnNgz+hdFB+lk+2X8kAG8edMint+ORpQ5g0dTCvvr4YgFWrd/HLm1+mobFleUKTXs05R01keHl6Hq457VDM3TgTy6aycNmgC9KOl2lLOLnkeCR5ywCNYm0RR+Sld06PN49mrLnrgzf1wQDnvv0qi2v3LJe9pLaac99+jbqA2G+yr8gvtnDKxbPSjo+dOpjDjh+PUpk+szHPrOeeK09ELpNhsqr5xe0nY7GlztZRKuXcdveZaeUdwKBTc/bczOXt6lNndutM456kkCmYW3gYQ/R73gmenvgPdnhcXPbBW2x1tuw1G0sk+GDrJi57/y12uJyUaos5LG9G2vUmmMcy2jS82/IvdK3yoQUcfUb6gJrJhw9n0qzMgY1cMVu13PjbUzBbUmfnSJKC2+85M2UwYKHFyLlHpde7EypKOGbK8IzPECE7q2RuVxvALJnZ6vRw7cfvsXN3ICOSiPP2pvVc/dG7hKPZV1oSulZBqZWrf3cqeUWpA+7kCjk3/+28dvUl7cuWZ+Ssiw5NOz5iTClzTxjHz296kRdfWURjG3s/2sxa/vyzeaj2meFo0mv4w+XHU1Zg6XC++rvx5tFMNKcPYD66YDYGuY6fV1yZNpDWpDTysyGXYFZa+WbXdm798hNqfV4AQrEYL6xdxS1ffMwuEYAUBEEQuoAsmW0dTyGFx+PBbDbjdrsxmUw9lo/qHY1sWFnJqkVbyCs2c8SJEzGYtGkNyUxW/VDJL29+OWPawAE27r77LGqbvXyyZCNKhZzjp49EnZTz4SvfM2l6BcNGlWQcLS60cISdbPfvZLnrB/JUNmbYp+Dwyjj59Rcynm9Ra3jzzPNRqgLolToR1MihXJfX5iYvXqefBR+vobayiXHThjBmyuC0wITXG+SpZ7/h7fdWtB4bPqyQ3/72VCobXXyxbBN6jYrjp4/CotdQIl6oOiwWi/GflUv56/cLMqafMmwEvz30SAoMhgO+hyPsJBAPsMixlOawk7HmkVQYh1Ck6dpZWwernq5ffb4QzgYPS7/awLYNNQwdXcqUI0ZgzjdizNEAgZpqJy6Hjy8/ahn8c8TRY7DmGbjxtldwu1P3XznnzKlccuGh6HQtHUG7Gpxsq3Ywf+VWjHoNJ0wfiUmvoSSve5cSDcSCNEecLHQswRV1M9U6iYH6cmwqS8p59aFGXFE3C5q+J55MMNM+hXx1HoWazgdy2+ILh3lgyUKeWrU8Y/ol4ybyq+mHYVIfHEGkrtJd5bVulwN3s58v3l1BOBjhsOPHUToon+IB9qyf8flDbKtyYNFpeOPtpZx18iGsWVnJ2pWVlAywMevIkaxeV8WIkaUMqyjMeI1dDS621zj4asUWjHoNx08fiUmvpjTP0kU/ae/kjLioCtbyvWMpx9pP5rqP32d1Y+Z9yx85/mROGDq8pexH3CxwtJT9Q+1TyVPbKBR1Z4/pivJaW+nA2ejly3eXE4slmD1vAoVltjbLZi5U7nLw1jvLOOOkyaxesZN1q3ZRNtDOjNkjWLl6F2PHlVMxZM/fWnWjG6c3wEffbyAYjnL0lOGUF1hEMOMAZWwD6MqwqffMRN/hcnL5B2+z1dWc8RrPnnwmswcM6qYc9z3dUb9W72hk/fKdrPpuC4VlNg4/fjxGsw5b4YHdr7bGidcV4IuP1hD0h5k1dxSFJRZ+c+cb1NW7kctlPPnoTxnUxqxolzeA0xtk/qqt7KhtZszgYqaNKqfEbkSS2l6W9WDlinioC9WzsGkxklxiVt508tV2jJIBT8SDJ+ZjSfMK6kINDDdWMNo0nGJtIduczZzz1qs0BTOvFPT2mRcwsSjzDHMhVU+/vwoHtznH3QfAlx/f2sM5EYT2EcP++pjSQfmUDsrnqNOyL+OWzdr11VnTdlY2E/ZHmTpqAFNHDUhJG/m70zp8r4ORXW3FrrYyxTax9di3O9ZkPd8VDuGLRhhvLeuG3AmdYcszYsszMnBY+gzGvXm8IVat3pVybNPmei6+5DGOP3Ycl503g/w8I+r97G8hZOcIhVhQvStr+tLaGnyxCJ3p6rSrrdixUq7r+BJEQt9jMGgwGDSUD+m6DvKSUislpVZGjy/H7w9x/98/4qtvNmY8d9XqXbg9odbgY3mBlfICK7Mn9ezS3DqlFp1Syzm6U9s8r1CTT6EmnxHG7s2vIxTk++qqrOmLa6pxhoIi+NhHFJXbKSq3M2LCgP2fvFskEuf+v/yP2285iXffX8m776/kpHkTmXzkcKpr3Vx6zdMA3H7LSVmDj+UFFsoLLBwxcWhOfo6+yqqyYFVZGGcexTZnc9bAI8CCXZWcMHT4nrJvEtsI9GfFA+wUD7Az+pBB3Xpfvz/M2++t4O33VnDqSbvLdbWTy3aX69/ffkpK8LE030xpvpmxQ0RHei60pw0QScSzBh4BFldXieBjD/uxL+noM6bk5HrFJVacbj9lo4rQqBW8+OZiflizpy2WSCRxudveEsNi1GEx6hhc0rUDGPoTi8qERWVipCl9xrlJZcKkMlGmK0lLC8SiWQOPAGsa60XwURAEQcg5EXzspzyuIG6nj4AvhEarwmLTkdfGcqmSpEApKfCFwhg0HeuYq3F48IfChGNxDBoVeSYDBq1YVgUgX6fPmiYD1IrsRTAaj9Pg9eMLh1FLSuw6HcYOfjfCgQtGojT5/AQiUXQqFXlGHdo2Rl/W7mpGKcmxWvRspykt/aNPVtPc7OeWm07ocPCxzunFFwoTCsfQa1VYDVos+oNzyVadUkm+Vpc13a7VoZTtf0XxUCxGk9ePPxJBq5Kw63XoVeK5dTAIx2I0ev34w3t99+r2ffcNtS4CvhDhUBSdQYPVrsdgyv73mInfH8HtCWZNt1p0qFS5aZ45vQFc/hD+UAStWsKkU5NvPvBZwb2ZVqnArs3+XLRrdVnrXE8wRHMgSDgWw6hRk2/QIyky7/0qdI1mfwBXIEQskcCkUVNgNCCXyzKe6/WGcDV5CfhCqDUSWoOGwmILKkmB2axNKT/vf7CS9z9YmfJ5q6VjZbY9Khud+IMRkoBBo2JAQfq+lH2VTAYmtRpPOJwxvSjLSgPeUJjmQJBQNIpBrabAKMrVwcbt8OF2Bwj6w2h1avRGLfaCA9u+Q63eU67feX8l77y/MiXdYk4v183+AM5AkHgiiVmrocCoRybL/Fxpr6omN/5QmFg8gUGrptRmFMu47qaUydEqla1bjewr07PCHQzh3F3//vjsV8jFzkBdLba7n8EbCqNWKrHqtcT9UXyeYEt51asxmjRY8/Y/o0upVPK3Bz/Kmq7RdM+g21qHG184QjgSx6BVk2/Soxd9UinUCiVymYxElsXv8vXZ+67ao97rwx0MoZDJsGi12A25b28JgiAIfY9oKfdDtVXNfPr2ct56fgHBQASZTMbUw4ZxxW0noVIpiUTSXwiOPGIkBp2a37z9MXecMIdic/teDLfVOfjTK5+zYmvLrEqTTs3VJ8zkiLFDKOvmJeF6o4Emc9YOm9kDBmFSZQ4mNvuDvL5yNf/5djH+SBQZMLtiML8/YS6lFrGsQ1dr8Pp4+MtFvL1yHdF4Akkh58xJY7n2yOkUGFNfnIPBCLu2NfD337+FLd/ImZfMYvnKnRmve+Zph2C3d6zjv7LRyV/fmM+367aTTIJWJfGTOZM4fcZYSg/CMmbUaLhw7ATe2bwhY/pl4ycxwGxp8xqNPj9PLVrGi0tXEo7FUchknDBmOLccdTiFJrGnbX/W5PPz9MJlvPD97u9eLuP4McO5+djDKdrPd1+9s4l///k9li/cSjKZRKdXc+alh3HUSRMpKmv/stkFBSbOPG0KK1ZVZkw//dQp2G2dDxBWO9w8/8Uy3ly4hsjun/WYicO5/uRDKeuHS0gW6I1cNmEyX+/K/Py9bMKkjB2fu5xu7vzgMxZsb/k+DGoVN8yeySnjRmHVHZyDPLpTMplkS6OD37z5MWtrGwDIM+j47YlzOGzowLQBcXVVTr7+ZDWvPP4VAV9L22ri9CFcd8cplA/O54JzZ6DTShwyeRDLlu9Iu5/JpKWwMHd1Z7MvyLbaJu56+TMqG10AlOWZueOcuVQU55Nv6VxHXm+Qp9fxkzETeGT54rQ0uUzGMYPTZzrWuD3c9eGXfLV5G0lAr5K4ctZUzpk0DrtedEYeDOqqm3nzuYV89MYSIuEYcoWcw44ezWW/OI7iA9jGQ6dTMWF8Oat+SF/9wmLWkZ+3pw5PJJJsamji1jc/YmN9y4DAAqOeP558NNMGlbV7wNHeotEoW+qa+eNLn7GhavezyqTnV6cfwYQhxZTYDr42+b4sWg1njhjDC2tXpaVJcjkzy8pTjlU2u7jj/U9ZvLNlppxZo+amuYdx/OhhWNoYTCR0jjMQ5IPVG3joi0V4Q2Hev+hkAiEbLz7yBV/97wdisTiSpGDuyRM5/8oj99vGNejVDBqYx46d6YNvS0usGLphz+Ttdc3c/epnLNuyp0/qZ8fPYM64oQfl+3I2BknF0YOG8Mn2rRnTKqwHNvs0GImydFc1v3v/M2o9LXtJDsu383+nHsfIwnyUYkCBIAjCQU3UAv1MIBDiyw9W8dJ/viQYiAAtHTuLv9nEumU7uOv3p6fNqKgYWsAlF84iEvHy2fqt/OLV93H4/Pu9V2Wjk2v+9WZr4BHAEwjzlze+YsW27Eu8HkysSoknTjwN/T4z5oZYrNx5+FzydOkdMPFEgndXr+eBLxbgj0QBSAJfbdnO1a+8TWM7vhvhwHlDYe77+GteX7aGaDwBQDSe4JWlP3D/J9/gC6UGkpvq3PzmiqfYvqmOZQs2U5Bn5LRTJqdd96wzplBW1rGZELuaXNz81Ad8s7Yl8AgtjfsnPl7M+0vW4w2EDuyH7OMK9XpumnZo2vHTho9iSnHbS6UGo1EeW7CYp75bRjgWByCeTPL+mo3c8d6nuALZZ6QJfVsoEuWJb5fy5IK9vvtEkg9Wb+T2tz7B6c/+3ddUOvjjDS+wbMEWftwqO+AP8/y/Pufbz9YSDEY6lJchg/M49eRJacfPOWMqZSWWDl0rkya3j6c/XcIrX68istfP+tHyjdz9yudUO9ydvkdvVGGx8dMJ6c/fS8dPYliGDpV6r4/LX3qzNfAI4AtHuPeT+Xy2cc93LXSdGpeXi556vTXwCNDkC/DL1z5gXV1jyrnhcITF32zgqb9/3Bp4BFj5/TZ+f91z1FQ6GDWyBK1WwQ3XHk1pSWqdq9OpuPsPZ2A25a5Tu9nj55p/v9UaeISWmVE/f/SddrWl+wKjpOGC0eOYUZK6TYBSLueBo07AuM+sr0afn2tefYcvdwceAfyRKA9+uZC3Vq0jFo93U86FnuJs8vDfp7/h3ZcWEQm3DHpNxBN8/fEa/nHX29RVZV+aMxub1cBNNxxHSbEl5bher+buP5yB0ahpPVbj9vCTp15rDTwCNHj9XPvyO2xpdBzQz1Td7OVnD7/RGngEaPL4ue3ZD9nV2D/r1I6yaXRcOWkKEwtTt6lQyRX867iTMSj2vA/Xebxc8sJ/WwOPAO5QmDv/9znfbs08iEjovGQyyfxN27j7f1/h3f1Oa9TaeeJvH/LZuyuI7W4zRqNxPn5zGc/+8zMa69v++7Zadfz2NyenDZyzWnT84benkp/XtYNwdjY4ue6Rt1oDj9DSJ3X/m/NZvDn7Vh0Ho3ydjtsOnU2FNTWgrJMkHj/xVCzSgc0U3d7s5MqX3moNPAJsbnRw0bOvU+PydCrPgiAIQt8nZj72M456L288+23GtAd/9yZPfHAjj//7Utauq6bJ4WPMqFIKC41s3lyDW93SRfBDdR31Xj92Q9sNxY1VTdS7fBnTHv3fd0wYXMyA/P6z7NSBqA4FGG6y8O7ZF7K6oZ5Kj5sJBYUMNFvIl1TU+/2U7bNBdb3Xx7+/+S7j9TY1Oqh2ecjfz3cjHDiHP8D/1mTei+291Ru47sgZKTMxvv10TUon6PVnPMxfX/gZ844fz9LlO5DJZBwyaRA6ncTrbyzh2qvmIknte/Q2uf1srGrMmPb8F8s4bvJwjDpNxvT+Kp5I8MbG9Zw1YjTHDang26pKIrE4h5UPwKRS8/SCr/jV0SdiyLKEapMvwMtLf8iY9s22nTT5A1jEbKd+qdEX4MXF6aPxARZuq8ThD2DNspxxQ62Lym2Zy+JrT37NjCNHUjYov135iERiPP/yIi46fyYnnTBhz3Ni8iD0WonX31rKNVfORZIOfHlCTzDM29+tzZj23cZKfMHMyyf2ZZF4jP+sWMKVk6Zy1sgxfLurkiRJDi8fiEFS8ejyJdx5+BzUewVKdjic7Gx2ZbzeQ18t4vChg/Y7I1bonIXbduIKZh5I87dPv+HRn5zWOgO1sdbDK4/Nz3hu7a5mqisdTD1sONU1TkKhCP9391lU1zjZtLmekmILwyqKMJolGho9mHIQgHT7g7zy9SqisfRgWiyR4LnPl/HrM47AZuzbbbamgB+Z18d9c46jIeDn+5pdWDVappeUoVNKrGiopWSvFQdq3V421KfPgAF49NvFnDhmOCVmsYpHf+b1hPj4zWUZ01Z8txW/r+N1kKPZRzwW5757zqaq2snmLT+W60JMJh2OZh/m3UuvfrxuM/5w+qCgZBIe+mIhD549D5O2Y+3nr9dsw5ul7nzkg0WU55kpsR/cM6zq/T50kSgPHT2PWr+XpbXV5On0TC0uQaeQ2OhyULT7vXdjQxM1bm/G6zzwxQKmDSxLW21G6LwGr5+/f74w5VgwEGbh5+sznj//wx8478rZ0MaKAc3NAaxWLX//63ns2Olgx84mBg6wM3hQPmaThoZGP+VlXTf7cVudg5rmzAGuxz78jkOGlvarpdA7oz7gJ0+h5IkTT2OXx82K+jrKjEYmFBZhVWnY5fNgz7KUejb+cISHv1pEpuF6gWiUd9es59rDZyDv5JLXgiAIQt8lgo/9TCgYwe/NPhtqxcItzDh6NNOnDUav17Bg0SZ+9ZtXALjj3tNbz9vhcDK6uKDNe63eUZM1rdrhJrZ71tjBbLvLyUmvvQDAhsuvQ6FQEAqFGPfcYwB8fN4laZ8JRmO4Q9lfyjc3NjGxTGwE3lXcwRDZJrskk+Deq+PB7wuz4YeqtPNuvvAxtHoVp15wKKf9ZCY3//5ltmxpZnhFIYFgFHM7g49b67KPzvaFIgTC0XZdpz8Jx2Msqa3moSWLuAy4/Wc3ALBz505mf/wixQYjV0cjWYOP3nCYaCL7s6ne46Mi/8CWnBF6N284TLSNGTc1bi8VBZm/+60ba7N+zuMKEA62vywGAhHWb6jlgksfY9KEUu696xySySQ3/Pq5lufEsCKCwQiSdODBEW8w3GYdXOfyMaKs7Tq+r/FHoqyor2P2C0/y7NgpXHZoy+zohQsXcuKapYyy5+OPRlKCj+vqGrJdjkafn1A0875VQu58tz3z8sMA6+saCe/1HUQjMZqbMndWA2xeW83Uw4YTDse46vrnAPjrvWdxzllTaXb6uODilrbXH357GhVDCzudd18wwvpd9VnTN1Q14AtG+nzwMRyPc9g7rwKw5JyLmTjhEJLJJMMffxiAS8dNYl7FiNbz25pZ5g2HCUQOvrbLwcbnCRGNZq9vG2pdDB3ZsXeZQCDCFdc8DcAD953DOWdNxeHw8pNLHwfg7j+cwZDB+URjcZbsSG+b/2hdTQPBaLRDwcdILMaq7dnbARurG1tXSzmYhWIxZr/W8uxdfv5lHDLhEBKJBCOe+CcAN007lNkDBgOwqjr777Pa7SGcZd9IoXNC0Rj1ntTB425XIOtKD4lEEo8r0OY1vb4QF/605Xt/7F8XM23qYKqrHVx8eUvZ/OffL8xBzrNbvaMua1qt0yvK5l4C0SizXn4GgB8uupIZxaUpZfT+o45jQmHHns3+SIQ1ddnbQksrawhHY2hV3bP3pyAIgtD7iOBjP6PWSCiVitYlM/ZVWGJl1aqd3POX/6Uc16gl4uxpmBXuM9KwrsFDIBjB4wui06rItxnanNVo1mlQyNs3uikci9Ho89McCKKUy7HptBQaDci6eHSUI+TGHw/hivpQySWMSi2luvbNXGmvIv2e3+PIJ/+VkqaQydAq04ugWqng7pFlzDr+WHyxKM5QEJ1SwqhSUyCpWbHPMmSeSCPhRIBg3ItKrkGt0GNVtTQaw7EmwvFm4skQKoUVtcKOUp77vXai0RgOp59mdwClXI7VrCPP3vXfYVfQZQla7Unf03DWaJUUlVkynhf0R1j89UaOPW0yW7a0LC9VVGRGrU7/zhsaPfiCYTyeEDqdCoNOTUmRhWJr9pkBSoUcjUrJLqebPL2uXzToa4MOArEQ/ngIg1KHXqmhUJP6nJHkCgaZLCykkqeBpx/7R0p6icGIWpG9atNJEp9cfAYKmxl/NIorHMKgUmFUqjEjoyrQ9TPC3JEGwokAobgXtUKPSq7DqtqzRFU41kQ40Uw80bXl9mCjU0nIZGQdXGDPMusRoLg0e32nUiuR1EqCgTBOhx+Py49aI2Gx6rHmpc+aU6mUFBWa2LGziRWrqjnh1L+npJcUW1BleE4AOJw+nO4AJoOGQDCKyx1ArVZiNGgoK96TR91+ngc2g5ZV1bUYNWrsOh1JRQxX1EcwFsYo6bCqjOiVfWtWtVqppMxkYm1TA5esWcqK8eNBF2bk9HK+nmJHozAgl3mBlrIUT4Q5cayV8ydeQ104gCcSJhiPYVNrMShVPPav51ApDnz2aa74/GGc7gAeb0v7y2LWYTX3n+fB0DYGe5SYjSgVe3aIUEoKNFoVoSzLHJcMsBMKhZDLQC6XkUgkufn2/6adl7d772Wny4fXF8Hp8aNUKDAZNRTlG5Gk9tWnWpVEkdXI2srMnW5FViMqScGa2nrseh35Bn2H9j1qrRNjIQySFr1CQ6G243vldZZSJidfp6MxEGDq7sDC3obus3xbsdnIil9dRUM0hDcaIRCNYtVo0StVbFm+Ak2Gtm97+WLNhOMB/DEXSpmERqHHICsgkNiISmFHrchDIT+wZeNyweUJ4HQFCIaiGA1qrGYdBn3fepbmglbf9ndgsaUG5BOJBI4GL+5mP/FEAovNgC3PgLTXViEa9Z46/KZbX0u7ps3ack2lQs7gPCtfbdqe8d7FZiPSPs/2+iYPgUAE9+7nrF6norRoT52qUiopa2PfuGKbkX1fe33hCA5/AFcwiE4lYdPpeuV+p40BF4FkCHfEj0ohYVBqKTvA92FJrsCkUuOJhJn88tNp6YPMe36ng2xWfrjlWmpCfjyRMKFYDLtWh0EpcfIjL6Dc5zvyRpqIJIP4Y26UcgmN3IBN3fZWC/sTCkdxuvw43UEkSdHy/pqDPbd7Wp3fiyMUIJqIY9foyNfq0Shb6jVJKUevVqXMDNbvZ09GnV7Dzi31BIMRjGYdVrsB3V6f0Wr31Jk/uy69jtDpOv5M9odCOBwB3J4gyWQSi1mHwaBCr1W3tn8DwQgVg+yU51uyXseoVWfsk2rw+nAEgkRicex6LXl6HZp21v0Hojv6ndpDrVQiyeVEEwnGP/94WnqJIb3vwRNpIJwI7ulrkuvRKIxoFHpkMhkqpYJik5G3r/wJ7miIplAQhUyGRa2hQK3jgS8XISlys9tXU3PLe1A0Gsdq1mK16NGo+34fiCAIQn8ngo/9jNGk4cgTx/PZuyvS0ix2PSUD7Nx61ZNpaUcfO4b/bd4MQIFRT6llT8Ojpt7FI8/OZ/6iTa2dtqOGFXH7r+ehUSkJRdJHJp57xATyTPtvvLuDId5ds56/fvEtod0jHAuNeh46/STGlRSmvRzmSl3QwXs1i3hj13yiyZZAbbHGxm/HXMxAbT7aTsw42Vu5yUyh3kC9P3152pOHjcy452OeXs/044/hgRULeGPLWhK7f+kjrfn8Y85JHFKyZ7S+K1LH1w0vsM7zFcndweNCzRBOKb0FvSyfxQ2X4Y+2vHzLUDLQdD5DzVegVuZuZpfXF+Kzb9bz72fmE9o9E89u1fPHm09hzPBilMqe77ztCLtey9iSQtbUpHcmji8twrZXgEKhUHDc6VN47+XvSSTSIxpnXXoYGsOel7Nzz5qe1kCuqXfxn+e+5suFG1vL18iKIn534zzK8szYjToc3vQRp8dPHo5RreLI/zzNz2ZO4aIpE7H1wk6N9qoKNHL/hldZ7d7WemyGfRTXDzuDYu2ev1dJoeDicRN5ed0PGZd3uWHKDCya7B19Np0OpyTjj999wSeVW1qPH1JQwt+OOJFyY9f+Dl2ROj6te5QtvsWtx8q0o5lXciM2dSm+yDaWN/wSX7Tl9yBDwQDTeVSYf5bTcnswsut1zB42OGOH5ECbhYI2ZicNGFqI0azF607fF/KokydhNGt5+qFPef/1JSR2j7AeMCSf3z1wPuWDUzsXdDoVF5w3k+8Wb0u7FsC5Z03L+CK9Y1cTt//5be6/8yxeemsxb3+0ivjue5WXWPnjr09m2JCW+sGgUTNjxAC+25g+q2xggRWLXstRj7V0DB4xdBBXHTmBOzf+h3AiigwZcwsmcVXFydjVfWcJOZ0kcfWkqXy8bQsrLvgpSV2Q/9U+yK7AmtZzhhqmckzh1eiVWqq8b1OqPZ9tPjfXf/kuW9wtg0SUMjnnjRjP1dddSL6uZ2esOZp9/PvZ+Xz69brW+mHE0ELuuvkUSoosPZq3XDlxzAj+/dX3xDLMSL/6iOnk7bXMvMVm4Pgzp/D2CwvTztUZ1FSMKua06fdw0nnTOGzmML5esCntvIJ8IwUFJmrr3Xy1aCNPvrSA8O52bJ7NwO9unMeQQXlY2lEX2Ew6Lpwzmc9XbcmYfvHcQzBIco7490tYtBruO/k4ZgwqR9uODs6aYBN/2/AaK117rj3VNoIbhp9JiTZvv5/PpXy9nmsnT+eP336ZlqZWKDhiwKCUYxOL8tkV8nPDV++xvrllwJxcJuP0oaO5cdIs8rQHVs+6InX84PqU7xz/JZ5saW+apQJOKb0Vu2wQX1fPZZTtFor0x6FSdP+yrrUNbv74t/dYu3umvEwGRx46ghsun0Oe7eBavlmvV3PIoRUsW5heNkoH2jFb95TrSCTGuhU7+b/fvI6ruWWfVK1OxdW3nshhR41Bv3svR4tFx2GHDuebDOW6sNBEfn7L71gmk3HW5LE8u2hF6zvU3q49ckZKe7mm3sVjL3zDF99uaH3ODh9ayO9vnMfAsj3trpOmjeKFL5cTz9Dev/ioQyjfa1Buo8/Pg/MX8MaqdXve4wry+MeZJzHI1nuWf6wNNvPari/5oHYR8eTutouugN+OvpihxpIOX69Ap+OyCZN5aMmitDSdJDGpaM+MqqOGDGCT18n1X77HDo8TAEku5+JRk3njqgso2OvZ74rUsbz5A5Y0v0OClue1RSritLLfkKcc3O4BI3tzeQK8/eFKnnv9u9als4sKTNxz62lUDC5A3s5B1L1JIplkraOeqz9/mypfyzKkaoWC6yfO5MIRE7FpWwbBXDR9Io9+vec9RG/UUDGqhC3r01e1GjWhHJ1ezWUntQyUk8tlHH3yJC79+dHYdpc5i1nHmNElrF2X/vlhFYVYLB175jc1eVi3pY6//OsT3N6Wdrdep+IXVxzFxLHl/O6+d9i4teU9XSaDZx+5HK1KIphhVv3Zh42nYK8BW4lkkg31jVz/3/eocrf8jiSFgmsOncoFUyZgy9A301m1QQcf1HzHf3d91aX9Tu2Rr9VxxojRvLp+TVpanlbHIEvq88kVqePL+qfZ4P0Wdr95F2uGc3Lpr0nEZGjVaixaLfefdQIfVm7m3iVf4Y+2BLbzNDr+evgJXH341LTBBB2VSCTZsr2BO+57m7qG3d+bUsHFZ8/gtBMmYjH13T4QQRCEg0FuhqAIvYbBpOMn18xl4vQhKcdt+Ub+9K9LKCgxYdlnxPzUqUMYN2sQn23cSpHJwJMXn0GRuaUx6Wj28fSrC/lq4aaU2SLrN9excuVOHr76NEy61NFyx0waxqkzxqDX7H+U26qaWv70yVetgUeAeq+fS176b8qG1bm2uHkDr1R+0doABKgNNXPLqkdpiubuvkUGI8+dfGbKDEiAGaXl3DrzcHQZNvUOJ6I8v24Fr29ek/LSvMHZyGWfvEFdpKURHoi5Wex4i7WeL1oDjwD1oW38d9ddBJPO1sAjQJIYOzzPU+V7m0Qy+1JIHbV+Sx0P/Oez1sAjgMPp56Y7X2ttHPYlNr2Ov589j6H5qSP5hxXYeeDsE9MCfEaThlv+72zUmj0vvnK5jNMvmsWoieWcef6/UCrlXHnJ4Rj2GfnZ7PTx3Ovf8cWCjSnla8OWOu7489sYJRX/vPo0CsypHeBTKsq46sSZuB31RONx/vXt93y+eVvWJXN6u5pgE/+3/qWUwCPAd471PLLlXRpCzpTj5SYzDx4zL2WGo0Im46ZphzK+oIi2BBIR/rJ0fkrgEWBZQw0//+p9nImuWw7OHWnki/onUwKPAFXBdbxXcz/OSC3f113eGngESBJnp+dFdvneJJEUS1B1hlGj5s6TjmJCWerfSJnVzKM/OZX8NvYWshXo+NMjl2C1p55zyKEVnHv5EWzbsYl3X/m+NfAIULmtkd/87Gka69xp1xs8MI+fX3M0ir1ndSnl3HTDcZSXpXdM1jd6+PlvX+Wxv/2Ez7/dwBsfrGgNPALsqnFy0x//y67qlgCaWhfn9nPmMqo8dWnV8jwzf7viJIyGPZ0AX2/dwWPzV3FK0REAJEnyecNyntvxCaF45hlmvdVQq50/HXEU6EK8X/NASuARYKtvCZ/VP04wFmWD836qQ34u/vj11sAjQCyZ4IUNK/nv5rVE2limt6uFw1GeeX0Rn8xfl1I/bNxazy13v4GjOfOe231NsdnIvy84JWW2rkwGF82YyOHDBqWcqzOoOPUnM5k2e0TKcbNVx5/+fQnm3eXzk7eWc/yc0YwdnTorpiDfyF/uPYf8PCObt9fz72fmtwYeoWVE/c1/egPXfpaYS7mmxcCtZ81B2muglVIu5xenHEZ5npnJD7XMLHAFQ1zz+rvscqY/D/ZVG3Tw1w2vpgQeAZY0b+ThTW9SH2zO8smuIZfJOHnYCM4dNTbluFGl4tmTz6TYkBpYq4sE+emnb7QGHqGlw/eNLWt5et0ygge4nGKl/wcWNL3cGngEcEcbeLXytwTkLuLJIGscf8QTybx3WVdqdvm5/c9vtwYeoWWG3pcLNvLY898SzDJbt78yGDVce8fJDB+TWgaLy2z87sGfYM3f05aur3Zyx7XPtQYeAYKBCH+/8222b96znKJer+b6a45izOjUoFhhoYn77jmHPPuev8MSs4mHzj0JzV7bHMhlMq46fCpTBuzJU7PLz4tvLubzbzakPGc3ba3ntnvfoqp2T/vTpFZz32Unpqw0IpPBeYdPYEpFWeuxSCzOM4uX8/rKtanvcQ1NXP7yW9R7e8ezOxQN8WndEt6tWdAaeASoDDRw6w//YVcg8z7XbVEqFPxkzAROqhiectyi1vDiKWdTstezoj4W5qKPXm8NPAJEEwmeXLuUj3Zuah2QEovF2OJdzPfNb7QGHgFc0Tpe2flbPInsyz225fvl23ny5QUpe/bWNXi44XevUN/Y995fAap9Hs773yutgUdoWTb7b8u+5evqHUBLoO2CaRM4bvSw1nOMVjW33nc2A4akDpYbNKyQX919FnrznnKUSCT55J3l/PfZb4nsrj/NZh133HoygwelDowZUG7nD789FaulYwO5mj1BfveXd1sDjwD+QIR7//EhjU1e/vb7U1uPJ5Ng1ar45zWnYdalDj6dO6GCM2eNQ7fXoNQat4cLX3i9NfAIEI3H+cc33zF/y44O5bO9ljRv5OXKz7u836k9tJLEjdNmcVjZgJTjBTo9L5xyVkoZ9UWbWdD4Mhu838BeQ35rQ5t4s+puwjI3wVhLwLnS6+KOhZ+0Bh4BmkIBrvzsLZzR9IGbHVXf2FI29+5bisbiPPnyAr5fnnmWuyAIgtB7iJmP/UxzrQtUUX5x52n4vCGqdjRhtRvILzKTX2zi+vP/w3VXzEahUuD1hRlSUYBCo2BtbT3PXXIWZTYLhXvNWPT6Q3w6P/NL/N8e+YyXHvkpz//qfGocHlz+IEOL7RjUKkrs+58t0RwI8vev0kevA4RjcT5av5mfHTr1gH4PbakKNPLyzs8zpvljIVa7tlGuy91eWCPsebx91gXU+Lw0BvwMNFko0OuxZRn53RQM8MKGlRnTqn0eKj0uBpmsBOMeVrk+znieM1KDN9bEVMOXLPHNSUnb5n6KEv08tFLbQZr2cHuCPPHiNxnTItE4n32znkvPPbTT9+lu5TYzz1x6FvUeH7VuL8VmI4VGA/kZZkZ9/NRXHH/VUfzzteuoqXQQCkYZNKwQjVZi6Yqd3HzDcVjNOj57axk162u54benoNo9q8njC/PxV2sz5mFHlYPqOhfjRpXyxA1nU+/y0eTxMyDfglmvQRENctSr77We//DXi5g9dBAFbQRQeit/LMR6z86MaQub1nDZ4BNSjulVKo4fUsHkomK2u5xE4nGG2ezkaXXo97NsricS5n870kfNA6xuqsMd7rplVyOJAJu86aPBAWqCGwnH/YTjmTt7trmfptRwElql2O+1M4rNRv59/qk0eP1UudwUGg0Umgwp9V4mm5fupOKQAfz1mStprHPjavZRPigPvUlLOO7l3l98lPFzjgYvu7Y3kl+UWicaDBpOPH48M6YPZdcuB8hkDCi3YbPqUWeY9bhlRwMud4Dm5iCvvbM0471c7gCbtzdQXmrDEw/xn5r3+MtlZ+P0hahyuCiyGLGb9Lzn+pJj9VP5CfDi7s/O37KDi2fN43X21I0f1S7mvAFzU2Ye93YmtZqzRo7BE6ukOrgu4zlbfN9zZMHFHFm4mG8bq2kI+jOe9/TaZZwyZCRDVT3z8ztcfj74dHXGtJ1VzTQ4vNj7wfJwaknJzMEDeP+6i9nZ7CIQiTI034Zdr8OoSR3c5qh14Q85ueY387jk+qOp3NaIxaonv9iM0arn7MPuBSASjnHfza9xwTVzuO6quTQ6fNhsegryTeTnGamuc/Hs699lzE8kEuOLbzfy0/PbN7uw1G7mqAlDmTFyANvrmkkkkwwpsqGVFMx+NHXZwUQyybOLV3Dn8XNQtbH0aCAe4gfX1oxpi5s34I93/fLg+8rT6blj1mx+NmkqW53NGNUqBpgsFOoNaUvJVvs87PJmDrK+tPEHLhg5Eau2YzM9msM1LGh6JWNaJBFkh38lx5St4NOqSWx2/hOTaiQqRffN3HY4/WzZnnkP2U/mr+WSc2ZQqu255WC7m6vRg8Gu4Td/PRePM0DNLgf5RWZseUbshQZqtzQyeGw58XiCT95eTjyWeU+2Fx75kt8+cB4GY8vfS0G+ibvvPJMmh4/aOhd2m4GCfCN5+yxxrlVJzB42mA+uu4SdzS5CsSgVeXbsBi169Z7nitcX4qMv0mcAQcugnqZmX+uS5p/NX8+xR43h5VsuYFdjy7OqotiOViXxu3ve5m9/OBuLSUejz8cLS1dmvqbL3dr26GmNEQ9vVmV+h3NGvOz011F+AMtCFuj13D37GH459VC2uZyYNWrKjWaKDEbke23HsaqxFmc4c1DisdVLOGZABYPNNjzxer5zvJ7xvFDCR3VgPXZ1Wcb0bBxOH0++tCBjmj8QYcWaSooLx3Xomr3BotpKfNHMAx3+tvxbDi0ZQIHOQIHRwB9PPoob5s5ke5OTtXXNjCvJ4w8PX4TT4aO+xklRqQ2LTY/JpuasWfelXe+D15dw6gUzKCxpKR/FRRbu/7/zaGryUt/goSDfRF6eocPtFJ8vxJv/W5FxRSGAF9/6nl9ddUzKsZMveYR3n7+aZ286l1qnF5cvyJAiG0atOq1PamllNb5w5t/RP75exKwhAygw5K58tvQ7fZYxzR9rqetz2e/UHkUGA/84dh6NAT873G7ytFpKjKa0gUShhI817vQVDwCawpUE4i6aAyq0Sjf/XJW5TRVLJnhl4w/8ZsrsTi1ru2JNJf5A5u/tyZcXMGXCQOzWnn+uCoIgCJmJ4GM/EwqE+dno2wC4/X+XM232FDweD3ed8SDTzzuCyi0N3P+b11FrJbRaFR53EJkMjCYtf3vmirQO2EAwkjK7Yl+btjRw1OGjGFjQ8SVkIrEY2x3OrOk/1NSRSCSQd2B/nPZIJJM0hF1Z07f40pcM6awig5EiQ/uWXArGYwRi2WdfbXU3c0TZYCKJILFk9pHUzkgNhcbhsM8A22jCTYLcdFyFIzF21WT/DjdurScWi/e5pVcB8g168g16xu61zO2+opEYm1Zs5/mB1wPwWs3DKBSK1pc0o1lLMgk+T8vLdcWoEkLBaGvwMRiKEMvS4QItS3iNG1XKgAIrAwqs+P1+NmzYwOkvfJ12bp3X16OzdDrDGck+6jNJkkAsvXNCrVRSbjJTbupY56I3Gs64DNeP6gNdNyI9nPCnzFLely/mZLz0ET9Ej09LiyU8xJPd3+HcH9kNOuwGHaOK29+pVrmhhltO+DMAz237K8PHFbF06VLunfokv33tRvzeUPbPbm9k8syKtOMajURJsYWSYst+7791RxMAsVgclyf7COJtlY3MZST+eJjFzg0sdv6JPMnMJGsFL9XvoHaXA4BDbCO49mcX8uJjL7R+NhRJfX7EknECPRDk6CytJFEbbmt2WZJQwo9FktjQnH1mhzsSIpphKdDuEgxGU2Zk7Kuu0cOoYf1jMIKkVFBiMVFiaXupzGgoynUT7gL2tHF9Ph+XHPuPtHNDwQhPPfAxN/3xNI497ZCUtHg80TpLOJOtOxuJRGKoVO17TSqwtLTvBhfa8PoDnP38a2zL0r7d2NhIMBprM/jojbY989KfoU7sDia1BpNak7bH4762ubP/boOxaMpqJ+2XxBWty5paH9qG3NzyvuCP7iCRDAHdF3xsdGRvx8QTSQKhrltVoTcKeIJcNu5mAP6+5DdMP3IYTU1N/HT0TQDc+87NDB5bTjQSy7jU44927WgkHIy2Bh+hZflVi0VHxdC2O+xVSgWlVhOlbeyfHgxFiUSzP2dr6lxMHFNOIpFg/eY6Hn2upf397tNXIEkSJ1z4CABajUR0dx0aiMYIRrP/je9sdnFIeef2KsyFSCKGN5b9WbPDX8dh+QcWgLNoNFg0Gips2QfvtFX/Ngb9rTMfE8TxxhxZz20IZ17Cvi2xWILahuzthE1b6znxqL4XfPyhqTZrWqXXldKmsei0WHRahubbWb9kC6dPuBqAf636PdOPHEZtbS0LPt3Ok//IHDgLh6KEgqnPNZtVj82qZ/iwAx/g7A2E2bEr+/e9q9qZstrSj0656FGeefBSZo4c2Ob119Rmnylb7fYQbaPf60Ak99PvtNWX/TvrSjatDptWxwh79nehSDyYMtt4X+5IA4NUU6mLhtqs9ze5HHgi4U4FHzdsyf691da72+xPEQRBEHqeCD72MxqdGrVORTgQ4d4TnwRa9nc05xspKd0TIAwHo4T3ajDGonGkDJ0sOq0KhUKeNQBZmH/gL/YqpZLBditr6zKPFB5fUpTzwCO0LLtToLZkbQhWGDq+x0UuaRVKdEopawByqLml00cl16KUqbIGIK2qYrze9M4QSW5GTtsby7eXWqWkvMTK+s2ZO4RGVhT1ycBje0kqJcMnDeb7D1cC8MRtrxNQ75nRuu/+cIOGFaDR7ml4azUqlEp51gZzcUFqh8mXO3Zx00fpgUeAIqMBVRftkdrVrKrsgXkZMnTK3O2FYZTUyGWyrAHIIl3XjZpUy/XIkGcNQBqUVpZnCDwCKOUmFLLclFuh4waM3FMvXDzk5pS0eDSG3qjJGoDcdxmrAzF091JWSqUCi0mbNQA5ZEDLvfQKNXJkJEjSFHXzacOylPPsKhP/fviFlGMaVerzQ5Ip0Cn65t+crs0ZTzI0cj2RSIQR1uyz28wqTZftO90eWq2EpFRkDUAW5Xf/nnY9TdJIGK16vE5/axv39pduQKNVEcqyrGVxeXrnt0Ihp7zUxqatmTuzhg7Mb3fgMe3akkRFfl7W4OOI/Hy0UtvXNkpt711kyGGd2BWGmLMHJ7VKCU0bgdfsZFikoqwByELNEBK7O9b10iDksux7P3eFfHv2doxCLkN3EM16BNCZtMjlMhKJJDdO/b+0dNvuPWsllZKKUSWs+D5zAKl8UD5q7YF3WO+PRiOhkhRZA5A/7q0rl8sZNayI+YtaVs445bInUvNZYkXaXYfqJCVaSZk1ADnQZslN5jtJJVdiVOqyBiAH6Tu/Qk5bRtqyt43ytfrWGdVyFBiV9qwByAL1kIzH26JUyikuMGcNQA4fmn3gaW82Pq8YWJkxbYDRgpSlX0W/1355Pw7w0ejV3PTUtVnvpdZIKVuO5IpBq2JQuZ21GzMPSigvtaJRpd9XUirQtiM/Y4uzf7elZlPW39GBku2n32moofcOIlMptMhRZg1AmlUF1IZr0SrzGWK2ZR3AO9xix6Tq3PvEyIrs31txoRmlUuwmJgiC0Jvl9Cntcrl44oknuO2222hubhn9snz5cqqrq3N5G6ENtiIzp159TNpxd6MXnVaJvSDzy/FZlx6GPT89zWjQcMzsURk/M2RgHtYObiCekledlhuPnJUxTa1UcPyoYRnTOqtMl8/5A4/OmKZXahhn6fhLTC7laXVcOHJixrQyg4lyY0unqlZhYoLluIznWVUlGJX5aUuuAgw1X4Fa2fnOcACzScuVPzk8Y5pKUnDU4SNzcp/ebM55M5F2z2T85o3FHD1vPLK9lhX6kVwu48yLZrXOegQwGdQcd+SYjNcdVG7HZk1d5nVSWQkmTebG+w1HzCTf0LE9NXoLg1LLaFPmkaqz8saiV+YuAGKS1Jw4aHjGtHF5RZg1XddhqZLrGG6cmTGtRDsCtUKPWpG5bA4xX5Y1Teh6pRWF5JdlHsEfC0Q48+LMy0vbC4wMGNz5761icAEWsw6bTcu5p07JeI7FrGPYkJaZIDqFjsPzx2c8b4SxHINS17rkKsCRFYNY69+cct7xxdPbHBjQm6nlOkq1ozOmDTfMQCXTM79hOsOteRRoMz83fzrmEIq0PbeEk92i56RjMs+8GFhmoyCvb343nWEvtnD2TfNSjn392iKOPXVixvMLSy0Ul6cHwkqLLFx6TuZnsUqlZO5hIzKmtYdOJXHNoVNJbwW0DH67ZNqkNmc9AugVWsZbhmZMm24bhb6XDwooNe5pq+7rghETsKs7/u5gU5cwK++8jGkquZZB+ol8WjUJgOHWn3frkqsAeVY9wwZnnol37JFjsHXifakvsuSbOPLsGRnThk8ejLWw5ftRKOQcd/ohWQcqXnjN3JRZj7lmMmg4fu7YjGkDSm3k7bVk5JEzR2QdlHDlTw7HsjuAk28wcOGUiRnPK7eYKbN0799mNvkqE2eUZX6Hs6mMDOzi4OOE/GKs6szf7VXjplGibxlgY1IUMsN+dsbzNHIDpbrM/RRtsVsNXH5B5j4IvU7FpLEDMqb1djOLB2CUMg90+PUhh1GQZYClJd/ExCNT20whf5igy5+xDgWYd840bBn6jjrLaNRy5omTUMgz1aJw4RnTUavSB5DOO2Ycduv+34OnDijDqM5ch/5i9sycb1+yv36nbHV9b6CRGxhrTu9LAshTD0SnsFBsUFFqNPPziZnbVJJcznkjxndq1iPApHED0Osy/21fccFhYslVQRCEXi5nwccffviB4cOHc99993H//ffjcrkAeOutt7jttttydRthPyS1xOnXHccJlx2JfK9G25DxA6gYW8b/PXZZyiwMuULOqefP4LjTD0GR4cXPbjVw2bmHcuShw9k7njJ6WDF/uuVUSnePCD1QE0oK+d2xc1JGgRca9Tx7wVmUmLquY22qbQTnDzgKSbbnZy7W2PjLhKspkjq+hGwumdVaLh49iXOGj0Ox1y99pDWfp489i8G7R5TrlGam2U9nrGkusr2KcqFmCGeV/x6tzIpe2hNIlaFkkOliSo2nIJflbjbHyIoibrrqaDR7BdXsVj0P/PGcg2JmRkF5Hn9+7xZsRRaCvhDzX/qWn982D4NxTxDLaNbyuwfOT3uBs1kNXHz2DObOGpFSvkZWFHH3radSWpT6t1hiMvLChWdTvlfHhaRQcN1h05k7fGjGoGdfUKy185tRFzDOnBr4n2EfzVUVJ1OgyV2ZLDIYuXXKbI4bMCylc3hKQSkPH3kSA4yWnN1rX2ZVPnMKL2eYYXrK8TLdGE4uvRmrqpjpRU9hSCm3CgaaLqTccAZymVisoKfkldj4v/dvYdCYPfsKyRVyTrryKA45eiwnnDmVU8+fgVyx51k8cGgB9z3+U/IKO9/RWJhn4uG7z+Vnv3qRuYeN5Kx5k1Hsda/yEisP3HkW5SUtz5gCrZkrh57EofbUTtWx5sHcPvpC9NE9f0tHVgzmytnjebeuZVa1DBlHFUzmokHHolH0zdk6VnUxJ5XcRLku9ecfapjK3KIr0ColRlp/TYlGz3PHn03FXjO1lDI5F42cyJnDxux3D9mupFZLXHzOTI6dPTqlfhgxtJC//PbMg7KjRaFQcOyFh3P69ce1tlkXvLOUcWNLOf6MQ1LavYOHF3Hvo5eSV5C5HTJ0UAHXXjo7pe2SZzPw19+dib2TgaJBNisPnjEvpYPTqtXw6NmnUG7d//OgSGvj1yPOZaIldbnmqbYRXD/8dAq0bS972tMGm2w8dcyZjNprZpNcJuOsYWO5bMzkDu/3+KMB+gnMyjsfhWzPd2aWCjh3wN3oEhYUMi1j7XdiVHX/wDerRc89t53G2L1myctkMGfWCH524eFoNX3zWXqgdEYtV9xzHoedNjWlbTpm5nB+++LPsez1flBQYuHuf1+ExbYncKDVqbjprtMZNKxrZ6DZLHp+csY0jjl8ZMrzY/jQQu697bTW/R4BCvONPHTXOeTb9zx71Solv7hiLqOH7/neVUoFl06bzDkTx6bscTiqMJ+nzj+9V+z3CKCRNBxTNIVTSmahkO1pTwzQFfB/4686oP0eO6JMa+CF489hkGnP71iSy7lizBSOHzQM9e5BGkqlkgrjVGbYz0KxVzvYIhVx3sC7MckP7G9k+uTBXHHBYaikvfoCCsz84+7zKOyj76+lBhOvnHgeZYY9+VcrFNx8yOEcXjoo6+dMNgO//s+VTJqTOiB21ZdruOvhCxk6cs/sPLlcxnGnTeasS2Yd8AoB+2Ox6LnrllMw7zXwwKBXc/sNJ5BnN/LrP73belwmg2Nnj+bSs2dm3DN9X8VmI89feBZl5j2/I5VCwS+OmMkRQwfl9Of40TTbyF7b79QWg2RjVv75jDQeDnu9NRdrhnNG2R2ok2a0ypZn3yCjhXtnHYthr+B3nkbHY0efjl3d+cHRhXkm/nH3eRQX7GlDqSQFV1xwGNMmDer09QVBEISuJUsm29j8qgOOPvpoJk+ezF/+8heMRiOrVq1iyJAhLFy4kAsuuIAdO3bk4jY9xuPxYDabcbvdmEy9v0Ea8AZxNnjwNvvQ6NVY8k2tL3pOhw93s59wKIrJosNq16PRtT2KuqHRgy8YxusNodOq0OvVlBRacpLXSCxOo8+PIxBAKZdj1+soMOi7PJDiCLnxx0O4oj5UcgmDUktZF79odUS934snEsYZDqJVSphUagaa0huonkgT4YSfYNyLSq5BrTBgVbWMVg3HmggnmkkkwqgUFlQKO0p57kdfR6MxHE4/TncAhUKO1awjz2bosWBYd5fXZDJJU40Td5OXeDSGvdRGPAluVwAZYLEZsOUZMgb4ARqavPgDYTzeIFqtCqNOTXEbgf0Gn49mf5BIPI5VqyXfoOv0iMLeoC7YjC8WJBAPYVTq0CvUXdbJWu1z441E8ERCGCQ1RklFucnSJffalytSTyQRJBT3oVboUMt1WFR7RpiHY01EEk7iiRCSwoK6i8ptb9GX6ldngxt3o5dwMIzRZsBaYEZraBloEAqEcTr8eFwB1BoJs02P1Z7bTkaH04fLE8RsVOPzR3F7A6gkJUaDJqWT9Ef1ASf+RAhfLIBeoUGr0KCX6WjyB/GFI5g0Kmx6HUl5DFfURygexqjUYVEZ0Su7d9nCruCK1BOO+wknAmgUBlQyHRZ1y+ykeCJMON6ELG6jPhLCGw4RjMewqrUYVWqK9L1jZqE/EMbpCuDxhdBqJKxmHRZzzz0PekN5DfpCuBo9eBxeVFoVlnwTar0Gl8OH1x1Eo20pfxZb2+XP5Qng8YZwugMoFXJMRg1F+UakHNSnsXicBp8fRyCIDLDrdBQY9Sg6sKRbXdCBPx7GHwtiUGrRKzUUanp34HFvlR4XnkiIQCyKRa3FJKnbvf95Nr6Yi3Dciz/mRimT0CgMGGT5BJIbUcntqBX5KOQ91x5yewI43QECwShGgxqbRY9+P+9YXamny6vPHcDV4MHn8qMzajDnmzBnWKI2kUjgaPTibvaTiCcw2wzY8o1IUvcsfd3Q5MEfiLS2ww06deuSq3tLJpM0NftwuQPE4gmsZh12qx4pw1LK/nCEJn8AVzCETqXEptNh1/e+tlxTyI0/HsQd9aORq9ArtZTqsi9Jnms7PE7c4RChWAy7VodZUpGfof71RZoJJf0EYm4kuQq13IBN3bmtUsKRGM1OH053S1vKsvv9tafkqrzW+304QgEi8Zbfab7W0K7lrr1OH65GD353EL1ZhyXfhNGqx9Xsw90cIBSMYDRrsdgN6PRd+1zzh0I4HAHc3iDJRBKLWYfZoEKr0xAIRHC6AwRDUUwGDVaLrsPP2Qavj+ZAy7u0TaclT69Hs58l0TvDGfbijQV6bb9TW9yRRiKJwO6+Ji1quQ6twohakdpf5woFaQ4FcYQCKGQyrBotRToj2hz2Ufz4/I1EY1jNOmxWA+ouCoLvT0/Xr8LBbc5x9wHw5ce39nBOBKF9chZ8NJvNLF++nKFDh6YEH3fu3MmIESMIhTLvhdRXiMpFEPoOUV4Foe8Q5VUQ+g5RXgWh7xDlVRD6DlFeBaHvEOVV6Eki+Cj0NTlbdlWj0eDxeNKOb9y4kfz8vjGqRxAEQRAEQRAEQRAEQRAEQRAEQRCEA5ez4OOpp57KXXfdRTQaBUAmk1FZWclvfvMbzjzzzFzdRhAEQRAEQRAEQRAEQRAEQRAEQRCEXipnwcf777+fxsZGCgoKCAaDzJ49m4qKCoxGI/fcc0+ubiMIgiAIgiAIgiAIgiAIgiAIgiAIQi+Vs915TSYT3377LV988QXLly8nkUgwefJkjj766FzdQhAEQRAEQRAEQRAEQRAEQRAEQRCEXiwnwcdYLIZGo2HlypXMnTuXuXPn5uKygiAIgiAIgiAIgiAIgiAIgiAIgiD0ITkJPiqVSgYOHEg8Hs/F5YSDzE6vk61uBx/v2oheqeKUwWOwq3WUGy09nbWc8EabCce9bPR8iztaR5luLGW6sdjUpT2dNaEPqva5cEXCvLdjHY6QnzmlQxltK2SQ0dbTWeuzAjEvgbiTLd7vaA7vokg7nEH6SRjlhUiS1NPZE4Sc8YTDNIR8fFm9hY3ORsbYCzmieAglOhPabvhbD0bc+JNutngW0Rypolg7goH6iaKsCf3OTq+Tap+b93euRyGTcfKg0RTpjAwwWns6aznljNRQH9zCNt9S9Eoro8yz0cgNmFQFPZ01QehR2z3NLGuo4ruGSsr0Zk4YOBKLSk2hztTTWetyzkgNdcHNbPctRa+0ieeC0KtUeV24oiHe3b4WZzjIUWXDGGnJZ5Cp971LN4erqfSvoia4Hqu6jGHGmZiU+agU2v1+NhDzEIy72er9nqbwTgq1FQzWH4JRbkeS9v95QRAEQcgVWTKZTObiQk8//TSvv/46L7zwAjZb76u4O8vj8WA2m3G73ZhM/f+lobtUep384tt3WemoSTl+5ahpXDR8MuV9vJMmEHFRFVrHu1X3kmBPcF6vsHLOwHvJ1wzqucz1Y/21vFb5XHy8axN3L/s85fhQk50n5pwlApAHIBj1Uh/ewhu77iSejLYeV8sNnDvwXoq0w3owdweH/lpee5toNMry5lou++I1gvE9f+sGScVzc89jUn7XDogJxXzUhjbx5q4/pJQ1jdzAOQP/TJG2okvvL+SGKK/7V+l18seln/FF9ZaU4ycNHMXNE2f3mwCkM1zNf3f9HmcktQ1/TNF1DDVMx6TK76GcCT8S5bVnbHY1ceHnL9MQ9LUeU8hk/OOwU5lSMIACrb4Hc9e1msPV/Lfyd7iitSnHxXNh/0R57XrVPhcf7NzAn1d8mXJ8mDmPx488i4G9qH5uCG3j1Z23EYx7Wo8pZBJnlN9JmW4sklyd9bPRaJDayGb+W/l7Yslw63GVXMe5A++lWDuiS/N+MBDlVehJc467D4AvP761h3MiCO0jz9WF/vGPf/DNN99QUlLCiBEjmDx5cso/QdhXMBLhre1r0gKPAI+vX0xD0N8DucqtUNLLB9V/SQk8AvjjTj6p/SfuSH0P5Uzoi3zRSFrgEWCrx8Gja7+jORTogVz1bcGEm/eq/y8lGAIQTvj4oOZ+XOHaLJ8UhL6lKujhhm/fSQk8Qstz5ZcL3mWHp7lL7x+Iu3iv6s9pZS2U8PFhzd9wRdLbAoLQFy1trEoLPAK8v3M9G5yNPZCj3PNFnSxofCkt8Ajwad2/iSREe0Q4OFX53Pxh6ScpgUeAeDLJjQvewxsJ9VDOul7Lc+GFtMAjiOeC0Dt4IuG0wCPAZncTj6/7Hmc42AO5SueJNPJhzQMpgUeAeDLKu1V/xhttavPz3oSD96r+LyXwCBBJBHi/+q8Z625BEARB6Co5WXYV4LTTTsvVpYSDRF3Ix6tbVmVNf33rDxxSUNaNOco9R6SK6D6Nvh9VB9eKlzChQz6t2pQ17e3ta7lq9HRsGl035qjv88ecaS92P3KEKwkl+v4gCEEAcIZDaZ2hP6r0uXB3cYeoN+YglMh8/8bwDsJxUR8Kfd8ur4sXNq3Imv7C5uVMzCumQGfsxlzlXjjhZ6P3myypSbb5lpCnGditeRKE3iAQi7CwbmfGtEgiznpnPUPN9m7OVfcIJ/xs9HybJTXJNt9S8VwQetSHuzZmTXtz2xouHzUNq7rnlyQNJXzUh7ZmTAsn/Hii9W1u4ROMe/DHnRnTnJFqwvHM7XFBEARB6Ao5Cz7eeeedubqUcJBIksQXjWRN90RDxBIJlPKcTdDtduFY24GLeDLWTTkR+gNXOHtwIByPkcjJItoHl0ii7RGu+87SEoS+Khxvu76JJrp23+7ofspaTJQ1oR+IJRP4opkHnQF4o2Ei8a4ta90hSbzN+jHbQANB6O8i+6lLu3qgT09KJhMkyN7WEM8Foae523iXDsajJOkdL9P7e/8M72cAezSRvR0Cos0tCIIgdK++G9UR+jy9QmJW8aCs6ceVj+jTgUeAAu2QrGkGpR2VXMxSE9pvTunQrGmH5JeiVii6MTf9g1kqQpalKlTL9WgVfXt2iiD8KF+rR8pSp2oVEjZ119ZHFlVJ1rKmkRtEWRP6hTytjiNLsrf9jiqtIF9r6MYcdQ2lTEWhJvs+rYP1h3RjbgSh9zAoVZTqs+//NTGvpBtz070UMolCTfZ3lcF6sRWP0LPmlmX/+5xeUI5K1jvepVvaxdmeIzLsqvI2P2+U7MjJ/LOo5Fp0Wa8tCIIgCLmXs8iOXC5HoVBk/ScI+yrUm7hh3GFoFOkTcIea7EzIK+6BXOWWSq5ntGlOxrQjCy/HpCjs5hwJfVm5wZKx00Ipk3Pb5LmUGSzdn6k+TqXQMtl2Ssa0w/IvQqu0dnOOBKFrGCU1Pxs1I2PaDeNnYeniJZtVMi2TrCdlTDu84BIMyv65DJ1wcDFKGs6rmJhx2bYCrYF5A0ehVuZs4ZkeY1EVM6fwyowDCsp04zAo83ogV4LQ8waZbNwx+aiMaScOGIlZpenmHHUfq7qYI7M8F8p14zBK4rkg9KxBRhsT7Ol9TEqZnFsnzaHMaOn+TGVglPI5ouDSjGkTLCe0EZhsoZLpmWI/I2Paofk/QSu3dDKHgiAIgtB+smQymZO1Bd55552U/45Go6xYsYJnn32WP/7xj1x++eW5uE2P8Xg8mM1m3G43JpMYKZQrzSE/dQEfD6z6mvk129AqJc4YMo7LRk5hoLF/dPq7I3Vs8i5kqeNtfDEHhZqhHFZwMXnSAEzqgp7OXr/Un8trpdfFq1tW8sqWlbgjIaYVDODmibMp05nI14uZQwfCFaljh38Fi5texx2tx64ewGH5F1KgHopFXdTT2ev3+nN57W0qfS4W11fy7zWL2OlzMsRk4+fjDmNSXgnl3TB4wRWpY7tvGYsd/8UTbSBPPZBZ+RdSoB4iylofIcpr+2x2NfHwmm/5uHITcpmMeQNHcc2Ymf1qrzdf1IErWs83Dc9QFViLVmFkgvVExlmOxaIS5bk3EOW1Z1T5XOzwOrl/5XxWN9dRqDVwyYgpnDhgJOW9JLjRVTzRRjzRBr5peHb3c8HEROuJjLUcI54L+yHKa/fY5XXx0uYVvLp1FZ5IiBmFA/n1xNmU6M0UaPU9nb1WvmgzdaHNfNvwHI3hHZikfKbaz6LCMB2TKn+/n3eF66gMrOJ7x2s4I7XY1eXMyvsJRdrhoizmgCivQk+ac9x9AHz58a09nBNBaJ+cBR+zeemll3j11VfTgpN9jahculat30No935UVrUWSy/Y6DuXYrEY3ng9SUAmk2NV9f1Znb1Zfy+v/kiEhlDLvimSXEGZwdzDOeofnOEakiSRIcOq7r/LYvU2/b289kY7PM27/5+MQabuH+jTHK4GQI4ci1rUh32JKK/t1xDw4Y9FkAEGSU1eL+rUzCV3pI5EMk4SMChtqBT9qw3fl4ny2rMqvU4SySRJkpTrzCj7wazn9nJH6kkkY+K50AGivHYfbyREU6hl30RJLu/Vqwd5Ig3EkzFkMvkBBQ1/bHPLZDKsKvF+myuivAo9SQQfhb6my1vA06dP58orr+zq2wh9XHEbe2O0V33QSyAWwaBUd/l+Ov6YhyRJdAoD8nbsDaBUKrEqS9t1bW+0nngyilpuQKu0dDKn4AmGiMbiGLVqVAfRS29/plepGKyy5ex6TUEfvngYjVxJka7vBjITyQSBuBeSMgxSx58pHQ04uiM1QBKDIh+FQtXh+7Xlx3Jr0Kr7xRJ9Qu8yyJT+/AjFA8QSUdQKDZJcnfWzVT4X8WQCs+rABwrZ1O2rD9sSjLkIJ3woUGFUdX4VAVFXCrlWoOtYW7Qh4CWQiKBVqCjUdnwlg2QyiT/mBVkSncKIXNY9+6abOzGDIhBtJpIMoESNoR0zOfbHFwoTjsXQqVVoJanT1xOEzhjQBav4OEMB3NEgKoWSkh5oswdiPuLJOFqFDqU8exkzq9q/tUjLu28EtcyEVsr+M0VjcTyhMEq5HLOu/y5fK3Q9o0qDMYdLIFf7XUQTccwqDVZ15wca7V3OTJ1s4+6vze2PNhNNBpBkavRS++vhZDKJMxAEwKrTIpPJOpVPQRAEof/q0t6VYDDIww8/TFlZWVfehq+//pq//vWvLFu2jNraWt566y1OO+201vRkMskf//hHHnvsMZxOJ9OnT+df//oXY8aM6dJ8Cd2jxu+iNujhsY0L2e5zMNSYx89GHEqRxpyToObe3JFmNniXs8jxMfFEjEnWw5lkPRxrDjpMPNFamsPbWdn8OoGYgwLNSCbazkUv5aFVdPzlstkfYPWuOp74eikOX4CZQwdw0axJlFlNKMU+rAJQF/DgCPt5bNNCNrjqKdGZuWL4TAYabJTpLT2dvQ5xRZpY6VzAMtd85CiYaT+GUeYpmKXcBWl/5I5Us8O3iI2ej0kkYww1Hskw09FYVJ0PqDT7Aqyprufx+Utw+AJMH1LOJYdNFuVW6DKBmI/a0E6+qH8TV7SJMl0FcwpOxS4VIe0VVN/lc7KiuYoXti7BEw1xaP5gfjJ0KiVac7d28vsjDoIJJyuaX6ExtAm9lM9E6zlYVAMwH8CqAqLMCT2tLuCmLuTjsQ0L2OptYqDBypUjDqVUa6aknXWxO+JgrWcJ3zs+I0mSQ6yzmWA5FIuqd+6x5os2Eoy7WNH8Mk2hLRikAibZzsOsKsMkdTyY6Q6G2FzXxGNfLabK6WFsaSFXzJ7KALsZjQhCCv2AKxygIeTjqc3fscJRRZ5Gz2XDZjDCXEC5vutXMPBGXezwb2R+47sE4z5GGidzaN5xWFUFBzzQwR2poSG0gdWutwjF3ZRqJzLOegZauR2ttGcARiKRpMrp5qVFK/lm8w7MWg0/PfwQJg0swW7onzPKhb5hl9/J6uYantu6GGc4yIz8gVxUMY0inRGDsuPBTV/Uzc7AJr5qeIdA3Mtw4wRm5Z2ATVXQrgHvHeGNNhKIOVjR/DLN4e0YpSIm2y/AqCzCtJ9BRXVuL5+u3cIbS9cAcOaUsRwzpoIis9gCRhAEQUiXs2VXrVZrymiXZDKJ1+tFp9PxwgsvcMopp+TiNhl9+OGHLFiwgMmTJ3PmmWemBR/vu+8+7rnnHp555hmGDx/O3Xffzddff83GjRsxGttXQYpp9b2TM+jj8/rN3L7s/ZTjMuCvU09jTuFwjOrsMzg6whNt5rnt91MZ3Jxy3CLlcU3FXZ0KQHoidaxxvcNK5yspx+UyiVPK/kqJbkKHrucOhPjnZ4t48buVKce1kpIXrz6XkcX9e69JUV7bZ37dFq5e+ArxfaqBX4+dyynl4yjS9Y3fnSvSxKNb76Q50pByvFQ7hEsH34JZyt0eW65INZ/W3EVjeFPKcaNUxCll92PuRADSEwzx7y++47kFK1KOayQlL151LqNK+me5FeW154TjIb53fMr7tc+lHJej4Mohv2OosWWQVqXPyf1rPuej6vUp5xmUal4+8hJGmNs/w6GzqvzLeb/qVhLEUo5PsV/MKPM8jFL7y4k7GOJfny/ihYUrU45rJCUvHQR15YEQ5TW3ArEwX9Ru5leL32LfF7K7J5/EUcXDsWva7lx3Rxw8vf3/qAntSDmepyriZ0Pv7JUByErfYj6ovo0kiZTjM/KuYLjx2A7NggxGovx3yWr+/MH8lOMKuYzHLz2DGRUDcpLnvkiU1/5juWMXF3/9PJFEPOX4JRXTuLRiGqVdGID0xTy8W/00K13fphzXyHVcP+xeCjQdb/u6IzUsaXqGTd5PU45LMi2nDXiIfM2w1mNbGxyc/8gr+MKRlHNPmTSKW0+cjVXfP5Z0FeW1b9nld/GPtV/xzq7VKcd1CokXZ1/CGGvHBsT5Y17+V/MCS5xfpBxXyTVcX3EPRdrc1WWxWIjK4BI+rvlDWj18eMHPGWyYjSHL+3Od28sVT73JtsbmlONDC2w8ftkZB00AUpRXoSeJZVeFviZn6/H8/e9/T/n3j3/8g/fff5+dO3d2aeAR4IQTTuDuu+/mjDPOSEtLJpM8+OCD3HHHHZxxxhmMHTuWZ599lkAgwEsvvdSl+RK6njMW5p5Vn6QdTwJ/WvkRTRFfzu610785LfAI4Io2saT5S+LJeIZPtU8sGWSl89W044lklK/rH8Idqe7Q9Rq9/rTAI0AwGuPud7/EvXuJDOHgtdPXzJ0r/pcWeAR4aO1X+GORDJ/qfRLJOMudX6cFHgGqg9vY4duQ0/vVBVenBR4BvNE6Nrg/IhI/8LLV6PWnBR4BQtEYd737OS5RboUc88Xc/K/2hbTjCeK8XvUInqgTgKawLy3w2PL5MH9b8yV1AXeX5xVaZh1/Xf9gWuARYJnjBaKJjpWRRq8/LfAIu8vcO1/gCoQONKuC0C71QR93rfwoLfAIcO+qj/FE9/83vdm3Oi3wCNAUqeMH1yISyUT6h3qQK1LF/PoH0jo8ARY3PU002bFy3OQL8NcPv0k7Hk8k+e2bn9Lgyd27gCD0hF1+J3et/Cgt8Ajw7JbF+Lq4ze6KNKYFHgFCiQD/q32RUDzQ4WuG4u60wCNANBlkUeOj+KIt7XpfKMz9H36TFngEeHfFeurc3g7fWxBywRUOpAUeAQLxKPet/owaf8faxp5oc1rgESCSCPFezbMEY/4Dzuu+fIlG5tf/PWM9vLDxP0QT2cv0Vxu2pwUeAbY2NPPVhu05y6MgCILQf+Rs2dW5c+dSXl6eca3vyspKBgzomVGn27dvp66ujmOPPbb1mFqtZvbs2SxcuJCrrroq4+fC4TDhcLj1vz0eT5fnVei45rA/a5DEHQ3hjAQYTOdnPUUTYRY3f5Y1fblzPjPsx2CSDmzUaV1wHWTseoLmyPYOd6h+t7Uya9rynTW4g2HMuv4xShREeT0QnkiImiwBg2gywTZvE0NNvW+2xL78MS/LnPOzpn/f/BkjTZNRKzr/9+6POtjkyf4c2OL9ihGmY1Epyg/o+ku2VWVNW1VZhzsYxtIPyq0or71HQ7iKRIaOB4DmSD2BmBeTZOXT6o1Zr/F13RaC8fRgYFeIJPy4orsypiVJ0BTahE09sN3XW7wt87UAVlbW4gmGsBzk+0qJ8tq1XJEgrkjmNl4gHqUx5GewMXtdHIoHWNKc3ln5o6XOr5hsOwKDsvfs5xyJ+/HG6jOmJYjjjOzAqm7/e+POJiexRObnWI3LgysQosDUtXvB9xaivPZPgViEda66rOlLGiu7dAWCNe7FWdPWe5YRjPvRKHQduuZO/3dZ06oCK4gmWgb/eIJhvt6UPaDx+bqtfXZlEFFe+7av6tIHpf/ou8YdBOMdGxSwwZM+APVHm30/EIz70Spzs8xwOO4lGHdmTIsnI3hj9VjV6e+z7kCIt5atyXrdN5eu4fhxw/rF++q+RHkVBEE4cDmb+Th48GAaGxvTjjscDgYPHpyr23RYXV1LQ72wMLVBXlhY2JqWyZ///GfMZnPrv/LyA+tMFrrW/ra1lu/3jPbfSdZGcZEjR9aJe8n2s1dGRzfwlsvbPr+/7QcuymvH7e9vSnGA+7d0v7bLpqyTZTOVvO3ngEzeqcKl2E+57SvfyP6I8tp77K9s/PicULTxd9299cn+8tux/XD295zrb3XlgRDltWvt729M3o4/Qvl+6kCSvewPeT/ZkdGxcry/31F7fof9hSiv/dP+6uq26uhcaGuvOdle/9sRbbfdZXv/R5tlWKnou+VblNe+ra2/ywMpF23tnSpDfiDFrA37e+dsIy9t/NxyuSyH7929iyivgiAIBy5nfZnZto70+XxoND0/anzfSjKZTLZZcd5222243e7Wf7t2ZR8dL/Qcm1qPScr892VX67GocjPqSpKrmJl3bNb0qbaj0CsPfK33Qs2orC9hBZoRSLKOjSadOTT7iPGZFeWYtf1rNJoorx1nlNQMNNgypqnkCgYZM6f1NgaliWn2o7Kmz8w7DpUiN3WQXrIy0nx81vThxmMwyA9879cpg8uypk0bXIapn8zAEuW19yhQl6GQZV4Eo0Bdik7Rsm/LsaUjs17j6OIRGJS52Vt5f9RyPTZV5gFtchTkqSs6dL1pQ7KXuelDyjFr+0eZ6wxRXruWRdKSp848k8EoqbFnSfuRRqFjRhvt0xn2ozFIvWsvIrXcgFnKXPYUMgmLqmMdegPsFlTKzMGRgXYL5n5Sd7aHKK/9k16pYqIt876KMmBKfvtn/B+IseZpWdPGmWegV3R8ZvEgw8ysaQP005BkLeXWotVw1OjsdfvckUM7fO/eQpTXvm1O8fCsaUcUDkUnSR263kjTpKxpo0yT0B1AOctGrTBiUGZ+Z1XKNFnTzDoN502fkPW6502f0G/rXFFeBUEQDlyng4833XQTN910EzKZjN///vet/33TTTfxi1/8gnPPPZeJEyfmIKsHpqioCCBtlmNDQ0PabMi9qdVqTCZTyj+h97GrDPxp8ry0GY4KmYy7J8+jSJu7ZaZKtUMYZkhvbOWrS5hkPazN0Wr7I8l0TM+7PO24Uqbh8IJfYFJ1bMPyPIOOa+fOSDtu1Ki5bd4cTNru6SjuLqK8dtxAg427J89DJU/vsPvthOMw5ihg19VkMhnjzTMp0qQH3IcaxjBANyyn9yvQjKREm/4csKoGUWGag7ITQZg8o56fH53eGWNQq7jjlDn9JhAiymvvYVCaOaP0yrTjSpmKc8qvwyhZALCqdZwzKL1TxKbW8YsxR5Kv7Z4lDU2qEmYX3YRSll7OZuZfjVLesYE1eUY91x2Vua684+Q5mPpJmesMUV67VqHGxD2HnJQ2c0kG/GnSPOztGEQ3SD+SQbpRacdLNIMYbZqSq6zmjFlVypFFv0YhS++YnZV/PVIHy3G+Uc8fTksfhKRSKrj3rOPIN+Zmmbq+QJTX/qlUb+H3E49Hr1SlpV0/6gj0io4FOTrKItmZZT8h7bheaeK44vMPaJCfWmFkrOX09ONyEzPyrsSgallKVadWceOxs7Dq058LFx06iUKzscP37i1Eee3bTEo1l1SkB+YtKi03jzua4g72Q5mUVmbnn5p2XKcwcGLxRR1e2rgtFlUZRxbdjDxtFy4ZRxT+EkmWvV1/aMUAxpWl96OOKytkZkXPbLXVHUR5FQRBOHCyZLYpi+00Z84cAObPn8/MmTNRqfY0ilUqFYMGDeLXv/41w4bltgM4G5lMxltvvcVpp50GtMxwLCkp4cYbb+SWW24BIBKJUFBQwH333Zd1z8d9eTwezGYzbrdbVDS9TL3fTVMkwHNbFrPN52CYMZ+LKqaSpzbkvEPUE3VS6d/EQsdHxJIxplrnMMw4AYuq8/tKuiO1+GMN/OB8E3+skSLtWEaZ56FT2NEoO/5zuAJBtjY088y3y2jyBjhs+EBOnTSaUqupw8u49jWivLZPc9BHUyTAy9uWscZVS5nOwsUV0yjSGCjWW3o6ex3iijjY4lvN4ubPUaDg0LzjGagfjknK/QxOd6Sa+uB61nv+RyIZY5jpaMp1h2BWZR6V3qFrB0Jsa3Tw9DfLafT6mTVsIKdOHk2pxbTf5ZT7KlFee1YoFqApUsc3je/hiNQzSDeS6XnHYJXyUcr3dErs8jnZ5nPwwtYluCNBjigcyknlYxlk7Hz91xHhmAd/vJl1rvepD61Hr8xngvUs9Mo8TKqiDl/PFQiyraGZZ75tKXOH7S5zJf24zHWGKK+51xDw0Rzx8/zWxWzyNDLYYOfiimnkqfUU6dr3O3ZHm9np38iipo9JkGCa7SgqDGMx56B92hUCMRehuJM1rndpDG3EKBUz3nomOqUdk9Txvet8oTCVzW6e/XYZOx0uJg0o4dzp4ym1mpAUHVvGtT8R5bX/8EaDNIT8/Hf7SpY5KsnTGLhk6DRK9WbK9NYuv78v5qEuWMnXje8RiPsYa5rGeOtMbKoD32/RHanBHa1mtfNNQnEPZfpDGGE6Bh2FKX1KANVON//7YSNfrNuGVa/h0sMOYVihHas+dwGZnibKa9+zy+9kp6+ZF7YuoTkcYGbBYE4bMJ5StTHtb7g9/DEv9aFdfNP4Ht6Yh1GmyUyyHo5Vys95/40/4iCUdLPa+TaO8BbMUinjbWeildsw7qdc13t8LNtexSuLfwDg3GnjmTK4jMKDZH9lEOVV6FlzjrsPgC8/vrWHcyII7dPp4OOPLrvsMh566KEeefD6fD62bNkCwKRJk3jggQeYM2cONpuNAQMGcN999/HnP/+Zp59+mmHDhnHvvffy1VdfsXHjRozG9o2WE5VL7+eKBPBHIxiUaszqrl1WNBwPkiCBVpH70dTBmJtoMohWbkLKwQi3UDRKJBZHr1KhUPSXXePaJsprx/ijYVyRIHqlCou6b7/Eh+IBZMhQK7p+aWFvtBGSyf2+oB2Ig6ncivLaO0QTEWKJKCq5GoU881KsAE0hH+F4jHyNEVUPduqH4z7CCR+STINWaen09Q6mMtcZorx2HXc4iC8WxiCpMKsOrC4Ox4MkSeZ0hkRX2lOOdWg7sX1B6/ViMcLRGFqVdFAHHX8kymv/449EcEUDaJUqbD3QZo8kwsQTMdQKbadW/dlbIOokRhiN3IyqjfZ7PJHAH44gKRRoVV0727MniPLadzlCfkLxKDaNDq2i40HHfe0pZ5o291zNhXDcTzjhRSXTo1F2bCaxLxQGwKDpX6tqtYcor0JPEsFHoa/J3rvUQU8//XSuLtVhS5cubZ2BCS1LwQJccsklPPPMM9xyyy0Eg0GuvfZanE4n06dP55NPPml34FHoGywqHZYD7KzpqK4MbGiVZrS0vUxHOO4hFHeRTMaRyyRMquz7VmkkCU0H9xwQDi56SY1e6h8vDd3Z4WqU2r+/oydSRSIZRSZToFFYUCvafknprnKbSMYJxhwkiKKQqdEp87r8nkLvJMlVSPL9d5jkaXrHqGa1woB6r/1vYrEYgUQtiWQMuUyBXlGEogMdQKKuFHqaWa3t9OC57hh4k0v7luMfhWIuIgkPiWQchUyNUVXSvusplaiVOXu9FYReR69SoT+AGVW5opKrQZ7bdwad1L6Zm4FYLQl5hCgKZDETmhwMPBKEXLBrcjsgvSvKWTZqhR61Qo8vWoc74gBkKNChlEv7LWMHY9BREARB6Licvp0tWbKE119/ncrKSiKRSEram2++mctbpTjyyCNpawKnTCbjD3/4A3/4wx+6LA+C0F280Ro2ul5ji+ddookAJmkQk/KuwaYajqGDe0MKgtC1fJEamsObWOF4BE90J5JcR4XpFEZazsEgta8ztasEYw62ej5grfMFIgkPemUxk+zXUKybjkaZu/1yBaGreSM11Aa+Y7XzGQKxBjQKKyMt5zHYeEyPlzNBEDrGG6lidfMz7PB9SjwZxqYeySF5N2CUytBLuV9pQBCE3s0XqcMTrWR508M4I5tRyNQMNh7PWNvFGKXOb3kgCAezUMyPP7aL5U0PUxdchgwFpfpZTLJfgyyuRa5MIh3Avq6CIAiC8KOcrSv1yiuvMGvWLNatW8dbb71FNBpl3bp1fPHFF5jNohNTEHLBG61mYf3drHe9QjQRAMAT3cH82ltpCq/p4dwJgrCvxtAa5tf9Bk90JwDRRID1rldYWH833khNj+UrEveyvOlfrHD8m0jCA4A/Vsu39b9nh+9TEsl4j+VNEDoiFHWzzfs/vm/8C4FYQ8uxuJOVjkdY3fwsvmh9D+dQEIT28kSq+LL212z1vk882bKcW3N4A59VX48v1nN1piAIPccbq+Lzml/gjGwGIJ4Ms8XzDvNrbsUTqerh3AlC3xaK1/NJ1dXUBZcBkCROlf9rPq2+jpCsHldkSw/nUBAEQejrchZ8vPfee/n73//O+++/j0ql4qGHHmL9+vWcc845DBgwIFe3EYSDWjDmoCG4PGPa8qZ/44lUdnOOBEHIxh2pZIXj3xnT6oPLCcUd3ZyjPYLxZrZ5/5cxbaXjUQKxxm7OkSAcmHDCyVrn8xnTtnreI7Z7oI4gCL2fK7IFd2RH2vEkCVY0/btHB+0IgtD9vJEqljc9DKSvcuWMbMEbFe++gnCgQjEna50vEkuG0tPizVT6vsQkH0Y47u6B3AmCIAj9Rc6Cj1u3bmXevHkAqNVq/H4/MpmMG2+8kcceeyxXtxGEg1pjaHXWNH+sNmPDURCEnhFPhvHH6rKmN4V6brayt42R4tGEr3U2pCD0duGEp3WG1L6SJAjExMxHQegravzfZU1rDP1Aglg35kYQhJ6WIEZzeGPW9NrA4m7MjSD0L+GEL+vAdoDawPdEZS5iiWA35koQBEHob3IWfLTZbHi9XgBKS0tZs6alU9XlchEIiFHngpALWoUta5oMBXKkbsyNIAhtkaNEhiJruqaN8tzVVApDm+kKmbqbciIInbO/v1VJru+mnAiC0FkaZfZ6UZIbkCHrxtwIgtDz5Chl2qypPdmWFoS+To4clcKUNV2tMKNADbKcdRsLgiAIB6Gc1SKHH344n376KQDnnHMOv/jFL7jyyis5//zzOeqoo3J1G0E4qNk1o5HLVBnTyvVHIMnbDigIgtB9JLmeMv1hGdMUMjU2zYhuztEeemURaoUlY1q+ZjyaLGmC0Nuo5AasqoqMaVpFfta/c0EQep+BhrmQJcA43HQaWoW9ezMkCEKPUsvMDDHNy5gmQ561nS0Iwv4ZVaWMMJ+dNX24+UwiQZkI8guCIAidkrPg4z//+U/OO+88AG677TZ+/etfU19fzxlnnMGTTz6Zq9sIwkFNhZEjiu5GjjLluEkayKS8a9BL+T2UM0EQ9qWXCpicdx0mKXXfYzlKDi+6u82Rpl1Np8xnTvH9aaPJdcp8Di38HWqFuYdyJggdY1SVcmjRnWkdI5Jcz+ziP6OhsIdyJghCR0kyA9Pzb2XfAGSeZgzDzKcjKXQ9kzFBEHqERjIz2nI+NnXqgD0ZcmYW/lasbiAInVSom8QA/Zy046Ms52NQFCPpIihkygyfFARBEIT2kSWTyfTduzsoFovx4osvctxxx1FUVJSLfPU6Ho8Hs9mM2+3GZOq5DmNBCEYcRJJeagNLCMTqKdBOxKwahFFV1tNZ6zVEeRV6E29kF67IThqDK9FJhRTrpqLCjFZl7dF8JZIxArEGGoI/4InsJE8zBqt6GHqpe4M1orwKueCJVOIIbaA5vBGzajD52nHoZAVIUvbl2oSOE+VV6Gq+SB2xpJ/qwCLCMTfF+ukYlEWinXsARHkV+gtvpBpvtIq6wBI0ShsluhlIcgN6qaCns5YzorwKPcUbqSYUd1Ll/xaFTKJUfxiSzICk0KBVihUHMhHlVehJc467D4AvP761h3MiCO2TkyEsSqWSa665hvXr1+ficoIgtEGrsqPFjlk9qKezIghCOxhV5RhV5ZQbetfSUHKZEoNUgkEq6emsCEKnmVQDMKkGMJhjezorgiB0gkHVMpDVoh7awzkRBKG3MKpKMapKKdFP7+msCEK/Y1SVYqSUfO3Yns6KIAiC0A/lbNnV6dOns2LFilxdThAEQRAEQRAEQRAEQRAEQRAEQRCEPiZni3dfe+21/OpXv6KqqopDDjkEvT51/f3x48fn6laCIAiCIAiCIAiCIAiCIAiCIAiCIPRCOQs+nnvuuQDccMMNrcdkMhnJZBKZTEY8Hs/VrQRBEARBEARBEARBEARBEARBEARB6IVyFnzcvn17ri4lCIIgCIIgCIIgCIIgCIIgCIIgCEIflLPg48CBA3N1KUEQBEEQBEEQBEEQBEEQBEEQBEEQ+qCcBR8Bnn/+eR599FG2b9/OokWLGDhwIA8++CCDBw/m1FNPzeWtBKFXi8RjOCJe6kMu4skkxRoLNrURjUJq9zXCsQaiCSehWDWS3IpKkYdWKm9/HiIRorJawjEH0YQbnVSGQqZHJ5UcyI8kCD0qnkzQFPLQGPYQiEUo0VmxSnr0kqans0Y07iYSdxCOVSOTKVAri1ErilDItQd0PX90J+F4M9G4S5Rb4aCUSCQIx6uIxBuIJjxolQNQyq2olfac3SMUrSOW9BOIVaGQadEoClDILWiUloznxxJxmsIeGkIeIokoxVobNpUBrVKVszwJQk8IxiI0R3zUBpuR5EoKNRby1EaUckXO7tHZNm3ma7qIJp2EYvUkkhF0yjLkcj06ZWGOci0IwoHwRoM4I35qg04MkoZ8tYl8tQmZTJZy3t51fSzhRaMs213X56VdMxCtIZ4MEIhWIckNqBT5qGX5SJKuu34sQejTGkMemsIerFISozJCKFaFXKZGrSxCoyhGLldn/WwwVk880dJmlsvUaBSFSHIbaqWpG38CQRAEoa/KWfDxkUce4fe//z2//OUvueeee1r3eLRYLDz44IMi+CgcNAKxCAsbN3D32v8SikcBkGQKfjFyHscVT8Qo7T8gEYxWs7X5bhzBz1uPqZWljMn/F0b16P1+PhqNEkhsZFnDLwjHG1qPF+uOZ4TtRnRS6QH8ZILQM2KJOGvdu7hlxfO4owEA5Mg4e+BMLh08B6va0GN5C8caqfe/zQ7ngyRpKe8KmZ5h9j9h0x6OpDC3+1qRSIRAYhPLG35JKF7XerxIdywjbTehk8pynn9B6G0SiRjeyGrWNV5PJN64+6iMAv0pDLbciCYHgfhAtIodnpfY6XmRJC3tVUluYmL+X5DLRqNS2FLOj8SjLHdu545VL+GPhQFQyORcPnQuZ5bPwKzSdzpPgtAT3JEAb+36nse3fkY8mQBAr1Tzp/Hnc4htCOoODJrLJhitZkvzH2kOftV6TKMsZ0zBvzCoRh7QNQPRRjyRVfzQeAexpB8AGUqGWq6k1HAqelFfCkKPcIS9PLLpYz6oWU6SJAB2lZG/Tb6E4aZi5DI5AIlEFG9kNWsbrycab9r9aRmF+lMZZPllSl0fiFaxxfUYVb63YPc1VXI7kwv/jkk2HKWy594DBKEv2Oqt46blz/CXCfPwhz5ko+dp2N3+VcpNjMy7H5N6KpIivT0biFZR6f0v293PkCS2+zNGJuTdizk5Do2UPlhAEIT+zefy8/NZv+P253/OsMmDezo7Qh8gz9WFHn74YR5//HHuuOMOFIo9I2WnTJnC6tWrc3UbQej1aoIOfvfDK62BR4BoMs79699li7eujU+2iMV97HI/lhJ4BAjHqlndcAWB6M79XiOSrGZJ/VUpgUeA2sBHVHpfIxr3tfOnEYSe1xByc8PSJ1sDjwAJkry6cyHzG9aRTCZ7LG/+yAa2O//aGngEiCf9bGj6FaFYdYeuFZXVsKT+6pTAI0Bd4BN2el4mGvfkJM+C0JuF4lWsrv/pXoFHgCQN/neo871BIhHp9D0cwe/Z4XmuNfAIEE14WFb/c8JxZ9r5dSEXv1r+bGvgEVpmYz+25TNWOvdfJwtCb7XatZNHt3zSGngE8MfC3LziOeqCrk5fPxr3Uun+V0rgESAU28Xq+isJRisP6LqxpJMVDb9qDTwCJImxxfUI3sj6zmRZEIQDFE/Eea9qKe/XLGsNPAI4Il6uW/o49SF367FQvJrV9ZfvFXgESFLvf5s635skEi3t6ng8Qq3/I6p8b8Je14wkHCypu4pQYu+2giAI+6oPurl+6RMMNRRhVm6jyvME7NX+jSU8rG24jki8NuPnXeHVbHM/0Rp4bPmMl+UNNxJNpreZBUHo/7avrqRmaz1fv/l9T2dF6CNyFnzcvn07kyZNSjuuVqvx+/0ZPiEI/U80EePVnQtSXrj29vTWL/DFQm1eI5JopN7/Zubrx5sIRnfsNx/uyHqiicyBikrPq4Tj4kVN6Du+a9pMOBHLmPbUti9wRLzdnKMW4Vgjle5Hs6QmqfG+RDzRdnnfmye8mWjClTGt0vs64bij45kUhD7GE1pJPJm53VjtfZ5Qls6R9vJHd7LN/VTGtARR6vyfph3/sGZFSnBmb09u/QxnRLRzhb7HFfHzxNbPM6bFk4mWAEInB/dE4o3U+97JklZPMNbx4GM8HqXK+2bK4IG9bXU9iT9S1eHrCoLQOU1hLy/t/CZjmj8WZp17V+t/u0PL2qzrw/EaAILxWra7n894XjwZpDm0pJO5FoT+bYe/HmfEz9UVk9nlfizjOUmiNPjfSzvuj1ay1f1Els/EqPalf0YQBEEQ9pWz4OPgwYNZuXJl2vEPP/yQ0aP3v0ykIPQH4USMSn9T1vSakJPwXjMiM4kngiSS4azpwdj+Z1n425gdGUv6SNB2HgShN9nqyz5juCHkJpbIHBToaolkqM3ZjaHYTuLJYLuv54/tyJoWTwZIJEW5Ffq/QHRr1rRYwkUyB+Ug0Ea59Ue373PPeJurFtQEnUSzDI4QhN4smohRE8w+a2Gbr55oMnOAr70SyWDKygD7CsU6HiRMJANttnODseqUGRqCIHSPaDKOJ5q93btzr3fkYHRb1vNiCSeJ5I9lOE4kkX3wna+N6wiCAFWBZgDMkqrN99ZAdBuJRGqdn0wmCEbbajPvINaBgbaCIAjCwSlnwcebb76Z6667jldffZVkMsnixYu55557uP3227n55ptzdRtB6NW0conR5uz7zAwzFKFTZN/MG0Ah16GQG7Om66Xh+82HqY09dFRyO3JU+72GIPQW4ywDs6YN1Oejkuds++IOUcgN6FXDsqYbVKNRytq/D41JNSJrmkpuRS4T5Vbo/4zqsVnTVIrCHJQDOUZVRdZUi3pcyn8r5QomWAdlPX+ooQiNQpRNoe/RKFRUGIqypk+wDOx0/aqQ6VDIsu+JqpOGdviacpkBkyr7wFaDqgK5rPN7VQqC0DFquUS+2pQ1fYRpzz6Ohn3q2pTrKIpa63oZCrTK0qznmtu4jiAIMMRQCEBDKIheyt7+NanHI5crUo7JZRLGNt51TeqxKOWa3GRUEARB6LdyFny87LLLuPPOO7nlllsIBAJccMEFPProozz00EOcd955ubqNIPRqCrmC08qnI8kUaWlyZFw2dC5aZdudlGpFMWXGSzOmaZWD0bTxAvYjg2owGmVxxrQhlsvRyDOnCUJvNNE6ELOky5h27bDjsKnbH+DLJZXCygDztYAsLU0mU1FkOBu5vP0doHrlwKwdLEPMP0WrKDzQrApCn2FQjUSV5W99oPla1IrsA3zaQy+VM8xyXcY0pdxInnZW2vE5hWPRZgkwXjP8WEyStlN5EoSeYJS0XDXsmIxpWoWKo4o636mvVhZTYrooY5pOqkCt6Hh7VKFQUGo4EYUsc7kbZrkGnbT/trIgCLmVpzbys4rMz5R8tYlhxj3l3aAahUpRkPHcAZZr0UrlAOhVA6mwXJPxPJXCjkU9ppO5FoT+rUxnp1xn58FNixhg+XnGcxQyPXbd0WnHdVIpwyzXZvmMjuIMnxEEQRCEfeUs+Ahw5ZVXsnPnThoaGqirq2PXrl1cfvnlubyFIPR6JVobD0+9gmKttfWYXWXkr5MvZoAub7+fV8jVFBnPosx0BXLZnlmSZvUUxhY+2voy1ha9NJBphf/Bop6w57oyLRXmqynSHYVS2fbsS0HoTYq0Vh6d9rOUGRoGpYZbRp/GJNvgHswZaKXBjM5/CEmxp2xrlOWMK3gSdTsGCuxNrxrI1MJHsKgnth6TyzQMNV9Fkf4YFAoR4BD6P600kPGFT2FU7Ql8KGR6Bll+iU03B7m8801XgzScMfbfoZSb9jo2lGlFT6CWpQc3i7QWHpn2s5Q63CzpuGv8eVQYxGAeoe+qMBRxz4TzsUh7ZieW6/L499QrKdqrHXugFHINJYbzKTVdimyvWcsWzXTGFPwbrXRggwkkeT7Tih5Dr9yzMoJKbmVC/p/bnCUlCELXkclkHF4wiuuHn5AyYGeUqYx/Tb2SAo259ZhOGsj4wqcxqPasdtBS19+IXXtkynXtmqmMsN6Icq9Z1CbVKKYXPY5eGtRlP48g9Af5GhMPHfJTlDIF6zwqhtnvQSm3tKbrpKGML3oGjSJzH5NeGsj4vLuR9vqMXhrEtKLH0cgzDyAQBEEQhL3JkslkMpcXbGhoYOPGjchkMkaMGEF+fn4uL99jPB4PZrMZt9uNyZR9ORFB+FFjyIM76ieZBLNKR77ahEyWPkMqm1jcRyTeQCzhQS7TIimsqJUda+AFolXEEj7iyTCS3IQks6GWzPv/YB8nymv/5Iz4cEb8RBNxzJKWPLUJpTx9lnF3SyRihOM1ROMuZDI5Srm5XYMEsglEq3eX29DucmtBLXW+E7i3EuVVyCQUqyUWd5NIBlEqLKjlRTkNwEfiPqLxJiIJN3KZhFJuRL+fcusIe3FH/MSSCcySjjyNCYUsp+P4ej1RXvufeDKBI+zFFfGjkMmxqPTY1dmX/z8Q0biXaLyRaMKDQq5FkltQKzs/m98f+f/27jvMiWr9A/h3Snqy2d5gWZp0VMAGFrAAKiL2AhfxWu5VFMWOFaz81Gu/FqzgtV/BXrABwgVFmqAgIL0sbO+bOuf3x7KRsEk2C9lN+36eZx/InMnMO5OcOSfzzpzZDreogRAe6GQ7jHI2VDXwSAnJiPWVosHt9aDUVYNqdz0Msg6pegtS9YGHX25s6yuhCUfItt7trYLTWw63VgVZMkAnW2E+hL52LGJ9pbZU5apDpbseBgmwqXXwapWQJB1UORWmFkYL8Hjq4RTFcHmrIEsqVMkKiz74Y1GSAesrRdPJIx8FAMybe0dU1r9m4TrcOvwhXHTraFz5EEe6pJZF7EFZ1dXVuO666/Duu+9C0zQAjcPiXHzxxXj++edhtyd+woNof1nGFGQZD74joipWqMqhDSdpPsgryoliUZreijR9dIZYDUWWVZjkTjDpOkVkeRwujgiNQ4cHGT48EvSKFXrFiuBPo2suw2CLeFKGKNoUSUa20e53V1Kk6RQbdErk645FH5l2l4giR6eoyDOl+Y0CFEy4bb1OsUOn8HwS0cGy6y2w+y4CaN0NIqpqhorOsPBxykREdBAidrn2VVddhZ9//hlffPEFKisrUVVVhc8//xzLli3D1VdfHanVEBEREREREREREREREVGMitidj1988QXmzp2LE044wTdt5MiReOWVV3D66adHajVEREREREREREREREREFKMidudjRkZGwKFV7XY70tIS91lVRERERERERERERERERNQoYsnHe+65BzfffDOKiop80/bs2YPbbrsN9957b6RWQ0REREREREREREREREQxKmLDrr744ov4888/UVhYiE6dOgEAtm/fDoPBgJKSEsyYMcM374oVKyK1WiIiIiIiIiIiIiIiImpjQohoh0BxImLJx3POOSdSiyIiIiIiIiIiIiIiIqIYIklStEOgOBGx5OPUqVMjtSgiIiIiIiIiIiIiIiIiikMRSz7ur7a2Fpqm+U1LSUlpi1URERERERERERERERFRG+Foq9RacqQWtGXLFowaNQoWiwV2ux1paWlIS0tDamoq0tLSIrUaIiIiIiIiIiIiIiIiIopREbvzcdy4cQCA119/HTk5ORz7l4iIiIiIiIiIiIiIKM4x3UOtFbHk4+rVq7F8+XL07NkzUoskIiIiIiIiIiIiIiKiKOKwq9RaERt29eijj8aOHTsitTgiIiIiIiIiIiIiIiIiijMRu/Px1VdfxTXXXINdu3ahX79+0Ol0fuWHH354pFZFRERERERERERERERE7UjwFkgKU8SSjyUlJdi0aRP+/ve/+6ZJkgQhBCRJgtfrjdSqiIiIiIiIiIiIiIiIiCgGRSz5eMUVV2DAgAF49913kZOTA4lPIKU45/YUQQgXZMkMVc3yTXd5Xahyl0JAwKLYYdFZoxhl23N7KyC0cgASFDkPimKKdkhEATW461DjrYIkATY1HUbFGO2QYoLbXQQNdZCgg15XGO1wYooQXni9jcdzRcmALOlaflOCKnfuhVd4oZMMSDVktOm6PN4KCOGELJmhKCltuq5o8Hqr4dFKAACqnAtFsUQ5IkoGDq8DNZ5yCAHYlBSYErx/2pbcnp3QhHNfu9kp2uHEHP+2Mx2ypI92SNROSp1FEELAqJhg06UFnU/T6uDVaiBJKlQlsx0jbORyb4WAB7JshU7Jbff1xwKPtwxCuCHLVigy24N4UuoogoCAQTEhJUQ9C4fHWwkhHJAlExTFHqEIw+dyb4GABlmyQadmt/v6iajtMO9D4YpY8nHbtm349NNP0b1790gtMuJeeOEFPP744ygqKkLfvn3x9NNP48QTT4x2WBRj3J4iOFyrUF7zb7g9O2DQ9UJGyi3Qq71R5a3HsvL5WFG5EF7Ng772o3F85pnINuZHO+w24XT/iYqaV1Dn+BYS9EixXIgU8wVMYFDMKXHuxuKSr/Fb9c+QoWBA2ok4Kv1kZBqS84QDALjde+DR9qCs+ik4XCuhKjlIs/0DJsOx0Ks8mer27EJV3XuoqnsPgECK+VykWi+DTi2IdmjtqtxZjB0Nf2JB8SeodJchz1iI4bkXIUWXjnR9VssLaAWPtwIO1wqUVT+5r33tg0z77dDreiTMiTGXezMqameituELAApSzOfCbrkUel3naIdGCazMuQc/l3+PVRWLICDQ334cBmeMRJYxL9qhxRW3Zxfcnu0oq34STvd66NQCpNsmwaDrC70uudqGYNye3aiq+wBVde8A8MJmPgep1suhT7K2M9mUOffij+rlWFL2Deq9dehm6YNTcs5Dii4NFvWvi4g04YLbsxVl1U+j3rEIipyO9JSJsBhPhqpEtk8RiMuzHfWOH1FR+xq83jKYDMcgI+VGyEoe9FFIgkaDx1uKesdClNf8Gx5vCUz6Y5BpvwU6tQtkmRdmxrJy516sr/kVi0u/Qp23Bl331TObnAqbIbVVy/J6q+Bw/YrS6n/B7dkKva4nMlNug0HfG4psa5sN2I/Lsx21DXNRVfsfeLUqmA0nICNlEhQ5D6ra/klQIoo8DrtK4ZJEhL4to0ePxuWXX47zzz8/EouLuPfffx/jx4/HCy+8gOOPPx4zZszAq6++irVr16JTp5ZPwlZXV8Nut6OqqgopKYl3lT418ngrUVn7Ksqqn2xWlpG1HLO2Poa9zp1+062qHdd2ewBZCZaAdLr/xI7ic+DVyv2mG3S9kZ/xWkyfSGV9TS4ljiLM2DQV1Z4Kv+lZhnz8vcsUZBqS8+RrXcNC7CwdC8B/2HO7eSwy7DfGTJItGvXV7dmNHSUXwu3Z4jddVfLQKfsT6NSO7RJHtFU4S7G47CssKPnUb7oECeM734p+9mMiti5Nq0dF7WsorZrerCw/41VYTadDkuSIrS8aXO7N2FFyATzePX7TdWo3dMx8E3pdlyhFFjlsX2NPqbMIr29+BKUu/++dXZeOf3ablrRtYGt5PPWoc36FPeWTmpVlpNwGu+US6NT42peRrq9uz27sLLkELs+fftMVORuFOZ/FTL+CIqvMuRcf7XwFG2p/9Zuuk/S4tvuD6Gju6pvmcK3B9r2jIeDym9dqGo2ctOlQlfQ2i9Pl2Y6Sygf3XfzjFykKsj+E2XB0m607EiJRXz3eSpRWPoSq+ncOKFHRKXs2TDG+D5JZmXMvPts9E2url/lNVyUdrul2PzpZDgt7WZrmQFXdWyiuvK9ZWW76v5FiHgNJUg455mBcnm3YW34b6p2L/KZLkgmdsj+BUd+vzdbdXtgfpmg6eeSjAIB5c++IyvpX/7gOt414CBfechauevjSqMRA8SViZ3lGjx6Nm266CdOmTcPs2bPx6aef+v1F25NPPokrr7wSV111FXr37o2nn34aBQUFePHFF6MdGsUQr1aKsupnm03vkrMVW+rWNUs8AkCtpwpLyuaiwV3bHiG2C7e3ApU1rzZLPAKA070ODa5lAd5F1P4c3nosLf+uWeIRaLwbcmPNmihEFX0u9xYUV96NAxOPAFBV/w68Wk37BxVD6hzfN0s8AoDHW4Tqug8hRHI8p9olHPix5PNm0wUEPtn1OkqdRRFbl0crQWnV4wHL9lZMaZawizdebx0q694NuB1uzybUORZEISpKBuuqVzRLPAJAlbscy8oXwOV1BXgXHcgrilBSOTVgWVn109BEXTtHFHvqnYuaJR4BwKsVo7L2PQjhiUJU1Naq3GXNEo8A4BYufFn0FipdpQAaRzfYW3FPs8QjANQ2fAaPd1ebxun1lgVIPAKAGyWVU+HybGvT9ccCr3dvgMQjAHiwt+JOeLyl7R4ThafWU9Us8QgAHuHG50VvotxZEvayPFoxSiofDlhWXHF3m/e53Z6dzRKPACBEA0qr/g8uz+42XT8REcWWiA27es011wAAHnjggWZlkiTB643eiTyXy4Xly5djypQpftNHjBiBxYsXB3yP0+mE0+n0va6urm7TGCk2uD1bATT/4ewQdfi1KvB3BQB+r/oFgzNGJszzdTStHLWOb4OW19R/AovhVKjqoT2DIFJYX5NXjbsKv1f9ErR8deVi9E45Cqn6trvSOhZpoj7gCcImDc5fYNT3aceI/hLt+urVqlFdNztoeXX9x7Bb/xaVZxS1tz0N2yGgBSyrcpehwRu5k+1uz3YEal+Bxgt/vFoFdIjfEQS82l7UNcwNWl7T8CksphHQq/G1jdGurxRahbMEa6p+Clr+e9XPOCp9KDKV+LpjLxo0rSrgRXeN3PuGio7dx4sAbVtfvVodquv+G7S8puETpNkmQFX4TK9EE6qfvan2N7i0xu+cJmrgcAWft84xH0Z9/4jH51u+c2HQModrFYTmaLN1H4y2qK8NIfa/070WmlYNJEH/Nh6tr14ZtGxr3R/wCGfQ8gN5vHshEHh+TVTBq5VBhw6tjjFctfVfBS2rc8wHRGzVxXCwP0xEdPAiduejpmlB/6KZeASA0tJSeL1e5OTk+E3PycnBnj2Br/qZPn067Ha776+ggMPIJANJMgScLssKVEkX9H2qrAOQOA/blSBBgj54uWQA5Ihdu3DIWF+TlyQ11b/AVFkHtQ2HlYldobdZlqL3zJfo11cFktTC8S1y3aOYFqruAIDcwveoNULtcwCQIriuqJDkFr9XkhQ77Wa4ol9fKRRJUqCG+F6psh5SkhzPDlkLfQUpxO+AWNGW9VVC6GOcnERtZ7LRyaE+dwXSvt/Ajf8Gr0eSZIp0aP6xIFTfVgZibGj3tqivwc5l/CW29gH9JVSfXIaM1pxrklq8x6Rt+6OSHPx72NLvgVjF/jAR0cFrk96HwxGbV7JIkn+DLYRoNq3JnXfeiaqqKt/fjh072iNEijKd0gGSZGk2XfHocEz6qUHfd1TayUhTs9oytHYlSx2QYrkoaLndMhZqOzyoPFysr8kr05CHo9NPDlp+bPppsOqS76H2smSBSR/seX0qjIaB7RrP/qJdXxXZglTrFUHLU61XtOkziWJJliEfapCTAHnGQhiVyJ0oDNa+Ao3PRFTifJ/r1c5IsVwStDzVMg66OLwjKNr1lUJL1afjmPTTgpYfnX4KMgw5QcvpL4qUAp3aOWCZLNmgi4O7R9uyvsqyqYW2c0JSjBiQjPrbjw1adrj9OBj29RVkOQ1W4xlB57UYh0U6tAOWf1KIslOC9kGipS3qq0l/NIKd4jMbToIix8aoRdRc75RBQcv6pBwFgxx+n1xVsiHLqUHKOkKV27bPbTONDlE2BrIUf7/N2R8mIjp4EUs+er1ePPjgg+jQoQOsVis2b94MALj33nvx2muvRWo1ByUzMxOKojS7y7G4uLjZ3ZBNDAYDUlJS/P4o8clKLnLTn8KBVWNHWT/kGDuib0rzk/kdTF1xeOpxUNX4u6MhGFU1IMV8Lgy65sMyWk2joFe7RSGq4Fhfk1uflKNQYGo+FFov20DkmgqjEFH06XUFyE57OOAPz+zUByAjeidgYqG+Gg0DYTE0P2Fv1B8Li3Fou8cTLUbZggs6/tN310ITg2zC+R3/iQxDbsTWpSjZyM94Hge2r5JkQl76cwkxVJ/VOBxGffPEvtl4Cgy6flGI6NDFQn2l0ArM3dDDekSz6YXmHuhhaz6dAtPruiA3/akAd2cpyE1/ErIU+yft27q+GvWHw2o6PcD0QbAYR0R0XRQ7jIoFQ7PObjY9VZeJ03IuRIqusW4oshVZqXdCkZu355n2u6EqbXshhCxZkJlyZ7PpipyJLPvdMTfseVvUV1XJQnbaI82mK3I6stMegqLEX9InWRhlE4bnXNhseoqahpF5l8LeikeIqEoO8jNewIF3OEqSEXkZz0NVI9e/D7z+dKRarw4wvSMyUq6Hqma06frbAvvDREQHTxJCiEgs6IEHHsCsWbPwwAMP4Oqrr8Zvv/2Grl274oMPPsBTTz2FJUuWRGI1B+3YY4/FoEGD8MILL/im9enTB2PGjMH06dNbfH91dTXsdjuqqqrY0CQ4r7cKbu8uVNW9C7dnM4y6I2CznAedUoAKdyVKnLvxS/kP8Ag3BqSegI7mbsg0xP7V0AfD5d6CBtcq1NR/DEnSw24ZC73aBXpd52iHFhLra/Ipde7BrvrNWFm5ELIk4+j0U5Bt6BDR5Em8cblcENIO1DZ8iQbnT1CV/MZnGUoZ0Ok6Rjs8n2jVV4+3GE73OlTW/gcQXtit42DU9YeqJtddQpWuUtR5arC0/HuUu/aik/kwHJF6PGxKOky6yA6RpmkNcHt3oqruHbjcG2AyHAObeQx0Sse4HJI0EJd7Cxzu31BTNweQZNgtl0CvHhbz7Wa42L7GplLnHhQ7dmJZxTxoQsPAtKHIN3VGZhK3gQfD46mGV+xFdd0cON2roVO7wG4ZC0XKgE4Xf21DW9RXj6cETs96VNbOghBu2K1jYdQdDl0bn8ym6Cpz7kW1uxw/lX2LBm8teqUMxGHWw5FlbJ7Qc3t2os4xH7UNX0NRcpBmnQCdUtguiS+Xewe8WjEqa9+CVyuB2XASLKZTYdDF1oWzgUSqvnq1Grg921FZOwse725YjKfAYhoOvcphImNdubMY1Z4K/Fz2Heo8VehhOwI9bQMC1rOWaJoDHu9OVNW9D6d7LYz6AUgxnw+d2rFdhhF3ubfD492Nyrq3oGmVsJpGwGw4AXpd1zZfd3tgf5ii6eSRjwIA5s29IyrrX/3jOtw24iFceMtZuOrhS6MSA8WXiCUfu3fvjhkzZuDUU0+FzWbDr7/+iq5du+KPP/7A4MGDUVFREYnVHLT3338f48ePx0svvYTBgwfj5ZdfxiuvvILff/8dhYUt3xnDxiX5aJoXQtRDkiyQZf87NRyeBmjwwqxaoxRd+/J4qiDJChQ5PraX9TV51XtqIUGCSY2toZWizeMphyRZoCgtPQum/UW7vmrCBQhADvFMo2Tg9rrh1OphlCxtfie/EBqEcO17DmLiPC95fx6tGoAUU0OUR0K06yuF1uCpAyDBpJqjHUpc83q9EKIKkmSDosT+sx6Dacv62th2Csghnu1FicelOeD2umHRtdy2aZoTkqRCisKz173eBgjRAFWNnyHdI11fhfBCCA/raBxyep3waK6w6llLot3n1rR6aJojrupiONgfpmhi8pHiTcTOLu3atQvduzcf9k7TNLjd7kit5qBdfPHFKCsrwwMPPICioiL069cPX375ZViJR0pOsqwACNzhM6qRvRsk1qkqh2ih+JAsFwS0VqL94IskWdIDiZn/ahWdooOunYbjkiQZkmRsl3VFiyrzRAS1P154ExmKogBguxkK287kpJeN0Mvhtd/RTHopiglAcv1eP5AkKVFJ/NKhMygGGCJ0wWi0+9yybIYs84IookQSoXvYKIlELPnYt29fLFy4sFky77///S8GDBgQqdUckokTJ2LixInRDoOIiIiIiIiIiIiIiIgoIR1y8vGKK67AM888g6lTp2L8+PHYtWsXNE3DnDlzsH79erz55pv4/PPPIxErERERERERERERERERtSPfnY+8A5LCJLc8S2izZs1CQ0MDRo8ejffffx9ffvklJEnCfffdh3Xr1uGzzz7D8OHDIxErERERERERERERERERRUMUniNL8emQ73zcf6zfkSNHYuTIkYe6SCIiIiIiIiIiIiIiIooFvOGRWikiz3yUmO2mBFbvrkeVpxr13jroJD1MqhFZhqyDXp7TWwmXtwJurQaqZIQqW2HW5QMAXN5quLwV8IoG6GQbDEoWFFkfqU0hiqpady2qPTWo99bDIBtgko3INGZGO6yA6t274dHq4BEN0Ms26KR0GHT2aIdFFPfqPXvg0Wrh0eqhk63Qy3YY1IxWLcOrOeH0lsKt1UCRTDAo6dAptmbzVbgqUO+pR4PmgFkxwSxbkGpgPabkUu2qRq23DvXeehhlA0yKCRmG1tW5YNzeGji9ZXBr1VAkI1TZArOuQ0SWTURtr9ZdixpPDeoi2Dd3e6vg8JbDo9W0eFxw7ftd7BUu6OQUGNUsyFJETlERJQSnx4kKdyXqvHVQJAVmxYxsY3jnohrcxfCIarj39bl1sh3G/frcHq0BTm8ZPFotVNkMg5IBVba01aYQUYIQHG6VWikiPbsePXq0mIAsLy+PxKqI2lWxowTLypfj06LP0eBtAAB0s3TFFV0uR0dz60+u1Ll2YkftJ9hc9Sa8onF5GcZBODzzPshSDn4tuQ2ljiUAAEUyoqv9MnSxj4VBSY/cRhFFQYmzBP8rXYIvi76GU3MCAHpYD8Pfu0xAvikvytH5q3FtwZrSB1HmWAYAUCQTutovQ4HtHFh4UpXooNW5d+D3sn9hb/18AAIydOhoOwfdU/8Oi65jWMtwesqwueotbK5+C5poPJZkm05A/8x7fBfyAI3t9wc7PsSyiuUQEFAkBUMyBmNM/lnICvOkDVG8K3GW4rs93+P74nlwCzcAoF9KX4wvHIdcU84hLbvevRO7677BxopX4BF1AIA0w+E4Iut+2PTdDjl2ImpbJc5SLN7XN3doDgCH3jevc+/E7tqv8Wflay0eF2rd27Cy+G5UOlcDAFTJip7pE9HBehYMSurBbxhRgih1lOKPmg14b8f7qPHUAgA6mDrgqi5/R54hFyadKeh769w7sK78GRTVfQdAgwQVHa1n4bC0f8Ci6wiHpxQbK2ZgW81sCHgAyMiznIa+GbfCpOa2zwYSEVFSiEjy8f7774fdzivJKfGsq/4D7+/8r9+0TXWb8a/1T2FK79uQawz/xI3X24Ci+u+wsXKG3/Qyx3L8vOd6HJv7oi/xCABe4cDGypehSCZ0S53Aq0Apbjk9TqyoWIWPdn3iN31D7UY8ueFp3NbzZuS0oi61pTr3dvyyZxLqPNt907yiARsrZ0CVTehiuxSKEvyHHhEFVu/ehVUl96Hcsdw3TYMb22v+C0CgR9pEmNTQd1t4NTe2VL+HP6te85te3LAIv+ydjGNzX4RRzUCpoxRvbnsLa6p+++u9wouFpYvgFV5cVHA+0vRpEd0+olhT567D/OL5+HrvN37Tf6v+Hc9vehGTuk9EtjH7oJdf0vAT1pU/7TetwrkaPxVdgyF5r8KiLzzoZRNR22rsm6/EnF0f+00/lL65x+NBScNi/FHxrN/0puPC4PzXYNV1AgA0ePZgye6r4PDu/ev9oha/lz0GvZyKjrazDm7DiBLIHudevLLFv8+7q2EXHlv/BKb2uSdo8rHevRtrSh9BScP/fNMEPNhR+zEEPOiVNhkbK2dgW83+57k0FNV9A7e3BoNyHoWeFwAQURC88ZFaKyLZjEsuuQTZ2Qf/45UoFu1p2ItPdn8WsKzCXYHt9dtblXxs8O7Fpso3ApbVe3ag3rMDQzMXYUHpCX5lf1a9jg7WM2HWxdbdYUThKndX4PPdXwYsK3GWYo9jbwwlH3f5JR73t6lyJnLNp8CqdG7foIgSgEur9ks87m9Hzcfoav8bgNDJR6e3BJur3gxYVu36Aw7PXhjVDNRrDX6Jx/39VPYzzso/E2lg8pESW5WnGt/u/SFg2fb6Hah0Vx108rHWtQ0bKmYELHN496LavZHJR6IY1hZ9c4e2CxsrXglc5t2LGtcGX/KxyrneL/G4vz/Kn0Wm6RgYVZ5fouRV4ijFnAMu3G3S4G3AyspVyDOdHrDcrdX6JR73t6v2K3RPvRLbaz4KWF7qWAKnt5zJRyIiihj5UBfA5z1SovLCizJXWdDyzbVbW7c84YRLqwhaXu1cD5Op+dVrHq0GXlHfqnURxRKP8KDaUx20fFt94GRfNNS41gctc2mV8O4b5pGIWqfBUxS0TMADt1bT4jI8ot43ZHkgdZ5tAIBqd/DjjQYNdZ66FtdFFO+cXqdvmPNAdjcEr5MtEXAHTRwAQIUjcPKfiGJDS33zrXXbWr1MrYXjQqVjre//Vc7fg87X4N0Dr3C1ev1EicQrPNhZvzNo+abazfBonoBlTm/wc1gCXri0qn1DrQbm8JaEHygRJR0+85Fa65CTj/zSUaKSIcOiBn/gdp6xdWPhK5IeihR8uEazrgBut7t5HJIeimRs1bqIYokqqTDKwb/DOYbYuOsRaKyHwSiSCbKkb8doiBKHQckIUSpBlYK3t00UyQgpxKAdRrXxWGJRQi/LpLBNpcRnUPRQJCVoeaYhVJ0MTYIKnZwStNym73LQyyaittdS37w1o/s0kaFCJ9uCllv3uxvaou8cdD6dbIcs6Vq9fqJEIklyyHY615gDVQ7cJ9YroR+JpZOsIcv1cmqL8REREYXrkJOPmqZxyFVKSKl6O4bnnBqwzCgb0cPWvVXL00np6GQ7L3CZbEeK/jB8v+e4ZmUF1nNaOGlLFNtSVBuGZp0YsMysmNHJHDzh195sum5Bf3AVWM+BXkpv34CIEoReSYNV1zlgWbb5JOjk0CdCgMYEZkfrqIBlRiUHZrUDAMCsBj+u9EnpDaPM57ZS4jPLFhybfkzAsjRdGjL1oYc5DkWvZKFzyqUByxTJjDTD4Qe9bCJqeymqDcOyhwYsa+ybd2r1MvVKFgpTLglYpkoWpBmO8L1ONxwBRTIHnLebfQIMysEfn4gSQY4xG2fmBR5WVZEUDM44Nuh7dbINKfqeAcsyjcdCla3INp0QsNyq68ZzT0QUGm9Co1Y65OQjUaIyKSackHE8Bmf4JwRtqg0397wRabrWPS/KoLOjq30ccswn+09XsnBs7ouQRTZMiv/dlDnmoeiR9g8oIa5MJYp1Fp0Fw3NPxVFpg/ym23V23NrzJmSqsfMDR498HJv7IoyK/0U1OeZh6Jo6HgZd6CtJiSgwq64Tjsp5CpYDEpBphiPRL+N2mHQtjyagyib0TJ+ELNMQv+kmtQOOy5sB0747H3OM2ZjY7Z/oYMr3m6+LpTMu7zweWUae1KTEl2qw47wOY9Avpa/f9Ex9Bm7ucSNyTQc/6oBesaCT7RzkW87wny6n47jcF2GUsw562UTU9iw6C07LOTmifXO9YkGh7TzkW/wTJno5HcfmvgCD9NcyTWouBue9Ar3sf1FfR+vZKLCdAznEXdtEyaKnrQdOzx0BCX896sqkmHB994mw6YLfZWzRFWBg9mOw6rr5Tbcb+qJ/1r0w6/JxeOa9SN3vggAAsOq64JjcZ2BU2U8mIqLIkQTHTQ1LdXU17HY7qqqqkJISfJghSjyljlI4NAf2OIphUc1I06UiRU2BWRf4as2W1Lt3wa3Vot69A3olFQYlE3rkQ6/Xo8FTDIenGC6tAmY1HwYlgw/7Pgisr7GpxFmGBm89ih3FsKpWpOpSka6kQa+PvaFMa13b4PSW7quLBdDJVph1HaIdVkJifU0ute7tcHnL4fCUwqzLh05KgUXfsVXLcHkr4fCWocGzG3o5DSY1G0a1+SgcxY5i1HhqUOGqRLo+HVbVgmwjR+s4FKyv8afEWYJ6TwNKnCVI0aXArktBzkEMqRhIvXs3PFod6jzboJPtMCrZMEhZ0B1kH5kii/WVWlLiLIPD24C9jr0R65uHe1wQQoPDW4wGz164tRpY1I4wKOnQKcn5XWV9pUDKnOVwag4UOfbAIBuQoc+AXZcCs9pyO1vn2g6XVokGTzFMulzo5VRYdH/1uZ3ecji9ZWjw7IFByYBRyWbiMUysrxRNJ498FAAwb+4dUVn/sm9X4+7Rj+LCW87CVQ8HHgmFaH/BH5xDRACAzH13SHQ0t+7kaDBNCQy7oflQGCY1G6YAJ1CJEkGWIQNARkwNsxqMVV8IKwpbnpGIWsWq6wToWj+c2/70Sir0SipS9N1CzpdtzEY22KZScssyZAEGoNByaPUuELOu8e7iFMNhEV82EbW9rH3PlCuI0O9cIPzjgiTJMKm5MKktj3xAlKwyDI13B+cfMJpHOCz6TrCgE4KN12VQ0mFQ0pGiZxtORERth8lHojZQ4SyDSziwq34bNGjoaOoMvWxAuiH8Yaga3Dvg1ipQ59oAg5INo64AOnSETqdrw8iJYlONswYNohZ7HLvQ4K1DR1NnGBUTMgzRTyw43LvhFXWodf0OSdLDousJVbLBoIt+bETxyOOphEuUo8G9DS5vGaz63lDlFJh00btwodJVCadWj6KGHXBqThSYO8Mom5Fu8L9C3KPVwu0tQ63rD0hQYNH3gF7JgsLnTFKMKneWwKk5sKN+C3SyHvmmAhgVE+y6yD3juMG9A25vGercf8Kg5sCodoQqOsTkyAdEdGjKnMWo99ZhV8M22NQUZBnyYFZtsKr+z3b2eKrgEuWod2+B21sOq753452SuoNPhArhhdOzFw2erXB5K2DRd4dByYZOad3jUogSSb27HrXeSpQ6i2FWZKTrDKh3b4Qi6WHRd4cipcDAOx6JKEwcQJNai8lHoggrd5ZgTdVyfLzrLWjwAgAkSDgtZwwGZ5wcVrKkwb0D60unoMr5i2+aTk5Dv+wZAHpwOCtKKtWuSmx3bMasrc/CpTl90wekHofR+WOR0YqkfqQ1uHdgd8272Fn9GoDGTpgEHbqn3410DINR1/qrVImSmdNTjXr3OvxefB28otY3Pd00DN3T74PpEE5KHqxKVzn+rF2Ld7e/DI9w+6Yfn3EaTs0Z7WvX3d5K7K55G1srnwOgAQAkqOiePhXZljOhKsGfz0MUDWXOYvxQ/AX+V/otxL42TJV0uLjgKhxm64s0/aE/k7nBvR1/lN6OaucK3zSdnIF+OTMAVy8mIIkSSKmzGLN3voG11at800yKGVd0uRkdTAWwqI3DEza29b/j9+LrD2jrT0b39HsO6mIjITyodq7Bb8VXw6NV/7VM4zD0yHwIBo4uREmowd2Avc6deGXzvzAmfww05yJsq5/tK5clA3pmTIfNcFRYz18nosTmcrpRVVKDrI6RuwiRSI52AESJpspdgTm7ZvkSjwAgIPDt3o9R5NjR4vudnjJsq/y3X+IRANxaBdYU/wNusTfiMRPFsnqtDq9vedIv8QgAKyt/wsqKxXB6nEHe2fbqXH9gZ/WraEo8AoCAGxvLp8HlLYlaXETxyqOV4Lfif/qdjASA8ob52F3zDtze2iDvbDt1nhq8te0Fv8QjAPyv7Dv8WbvW97rWtRZbK59BU+IRAAQ82Fh+Lxo829orXKKwba5bj0Wl3/gSjwDgEW68s/0l1HlqDnn5Tk8xtlQ+7Zd4BAC3Vobf9l4Nj7TrkNdBRLGh3l2PRSXf+CUeAaDBW4+XNz2GWs9f7bdXK8VvxdcEaOvnYXfNe3B7W3/8cXr2YPXev/slHgGg3DEfO6vfgKa5g7yTKHHVeCsxY/NjsOvTkKGUoWy/xCMAaMKJdaW3wisqoxMgEcWUl+96H+P73x56Jt75SK3E5CNRBNV5avBjydyg5T8Uf4FyZ+iEhEerRHHd50HL6j2bDylGonjzW+VyeIU3YNn8kq9Q7Slv54gaOdy7sKP61aDlu2regUdr/0QJUTyrci6DJhwBy4pq3oM7Ckn9n8vn+yVn9jev+AuUOPbC463GtqoXgy5jZ9VMaJqrrUIkarUSxx78UBy4vykgsKRsHrzewG1vuDxaNUrrvg5Y5tYq0ODefkjLJ6LYUeutxOKyHwKWuYULm2vX+15XOpYGb+tr34PbW9bq9de4foMm6gOW7a55Fy6NFwVS8tndsB0N3jqcmDEY5XVvB5lLw97aT9s1LiKKTYs+W97iPMw9Umsx+UgUQS6vC5Xu4D+Wqlzl8AhPyGVowgmB4FdmOjy8SpySS5kr+N2+NZ6qICmBtqfBBacneGwu7254o3CXFlE8c7h3Bi3ziloIhG5DI83pcaLcVRq0vNJdDgENXuGC01MUdD6Hdyc0Eb27tIkOJCBQ6Qp+8U6FqwSuIMmBcDX2aYPXWadn9yEtn4hih1d44dQagpaXuYp9/3d4QrT1Ws1BtfUNnuAjDGmiHprgnY+UfCr29WGtqhVOb/DfrQ7PDmha+/axiSh2aZrW8kxEYWLykSiCTKoFnczdgpZ3NHeBSQn9vEZFMkGV04KWW/W9Dzo+onjU1dIraFm+sRNkKTpNmQwzrIa+QctT9EdCle3tGBFR/EsxHhm0zKh2hCS17/PhDKoBXSw9gpZ3NHWBKqtQZQtSDEcGnc9uOBqKzOc1U+xQJR0KzF2Clnex9IBJtRzSOhTZBFVOCVpu0fc8pOUTUexQJRXp+uDPYe9s6e77f6j20qgWQIKu1etP0fcPWmZQcqFIxlYvkyjedTR3BgAUOfbCqusTdD674SjIstpOURFRrNO8wZOPgrc+Uisx+UgUQUbFiMEZJ0MvG5qVyVAwPOds2HShkxEGJRed7P8IWGbR94ZByYlIrETxotByGOy6wAn5UfkXIdMQnTph1OWg0H4tAKVZmSJZkG09B4piav/AiOKYRdcdRrUgYFlh6o0w6wrbOSKgv30QzErzJIwECWfkXYB0fRYU2YRO9n9CQvMTN7JkQp7tQkhS82MFUbSkGzJxRu4FkCA1KzMpFhyReswhr0OVs9Ax5aqAZVZ9P+iUzENeBxHFhixjHs7IuyBgWYY+GzmGDr7XZv1hQdv6zqk3wqxvfVtv0nWBSe0csKxL2q0wqPwNTcknTZ+JPGMBFpUuQqYtcHusymlIN5/UzpERUSzTvEwwUuQw+UgUYTZdGq7rfjfyTZ1807IMubim2+2w6dJbfL+imJBpHoEuabfud7W4jAzTaeib9SxMuk4h30+UaLKNubi2213oZv3rrt8UNQ1/6zQReYbAJy7ai17ORP/sGTCqf9VLq743Ds+dCYPMkxxErWXSFaJ/zitIMw4B9iVFdHI6uqdPg90wKCoxpSlZuK77PX4jG6TpMnFFl5uQpv8reWJUO+Hw3Fl+Jz8tul44MvcdGNX89gyZKCx2fTqu7HIL0vf7Hncyd8V13e9GmhL8DqZw6RUbsi2j0Dn1Jiiybd9UBRnmEeiT9RTM7NMSJZRull64oOPfYVEb67sECT1t/XFNtzuQZcz1zWcO0tYflnE/UgwDDmrdBjUH/XNeR7ppmG+ZqpyGw9IfQLqJiRVKTpmGHFzZ5WZ0MnfDovLfUZj+GAxKnq/cZjgCR+TOhFkXfCQEIko+oYZd5Z2P1Fq8r54owiyqBRb1MFzZ5WY4vA0QEDDKJr8fXC0x6QqQa70Umebh8Gq1kCUjVMkGgy78ZRAlkjxTR/yt07VwaA54hBsm2YQ0NQuqGt1mzKDLhUGXi/7qa/CKWkiSDEWy8CIBokNg1nXFYRkPQxN10IQTimSFXs6BqkZn2FKdToeOus6Y0HkSnF4HvPDCKJuRfUC7rsgGpBqPxpF578DtrYQECaqSCr2SEZW4iVqSrs9Euj4TucYOcGj1kKHAqJiQYciO2DpMugLk2/6GLPNIeEUdZMkIRbLByD4tUcLJMGTjmLSh6GnrB4fWAJ2kh1E2Ic3Q/C7nwG19PlS1+QhC4TLpOqJ35hNwaeUQwglFtsGgZHPkAUpqWcZcXFjwd9+5qT45/4Ek6iFJgCpZYdR1jHaIRBRjeOcjRRKTj0Rt5FCHgtQrNugVW8szEiWJdMOh34XRVg5meCgiCs6k69DyTO0s3HZdr2RCz+EkKY605gK5g6FTbNCxT0uUFAyqAdlh3u3fFm29qtig8nhD5CdVzwvhiCh8oe58BPOS1EocdpWIiIiIiIiIiIiIiCiJad4QyUeiVmLykYiIiIiIiIiIiIiIKImFSj76nvnIZz9SmJh8JCIiIiIiIiIiIiIiSmIiRGLRVyZJ7RQNxTsmH4mIiIiIiIiIiIiIiJKYpvGuRoocNdoBEFHbcnvKIUQDZDkdqmKKdjhEFAaXpwIQ9ay3RO2EbSVR/HN5qwCtDpKcAp1ijXY4RBRBHo8TmiiFJJmgU9OjHQ5R0nN59gAA9GpulCMhokgToZKPzEtSKzH5SJSgXO7t8Hh3orL2dXi1UpgMQ5BiPh8SOkGn00U7PCIKoKneVtW9AY+3BCbD4H31tpD1lqgNBK5zF7CtJIojTvcuaFoxqmpfh9u7Awbd4bBbx0GScqBXU6MdHhEdIpd7E2rqP0O9cwEUORV2y+XQqV2h1xVEOzSipONyb0WD6xfU1P8XAGAzXwiT/mjodZ2jGxgRRUyo5GOoIVmJAmHykSgBuVw7UN3wLipqnvFNc7iWoqp2JjpkfQgd+kQxOiIKxOneiZr6D1BR86Rvmn+97RvF6IgSj9O9AzX176Gi5mnftL/q3Gy2lURxwOEphtO5AMWVt/41zbUU1XVvIT/zHejV46IYHREdKqd7I3aVnA+vVuqbVueYC7vl70i1/hN6XacoRkeUXFzurdhTcR2crpW+aQ3ORTDoByA37XkmIIkSBIddpUjiMx+JEpBArV/isYkmKlFadT9c7l1RiIqIQhK1fonHJpqoQmnVVLjcO6MQFFECE7V+iccmrHNE8UMS1SipvLvZdAEHiitvg9O9JQpREVEkuDx7UFb1qF/isUlV3RvQRGX7B0WUxBqc//NLPDZxulaiwfm/KERERG1BCC1EWTsGQgmByUeiBFTv/DFoWYNzEQTq2jEaIgpHvXNR0LIG52IIwXpLFEmh69z/IER9O0ZDRAfD7dkCAWeQsk0QoqadIyKiSBGiDnWOuUHLaxu+bMdoiJKby70T1fXvBS2vrn8PLvf2doyIiNoKE4wUSUw+EiUgITyhStmSEMUkbwvlrLdEkeVuoTz4FZ9EFCNC9nnBPi9RHJMgEKotDv2bl4giS4Ssc41lbHOJEoHQQrW9rOfUOkw+EiUgs/GkoGVG/SBIkrkdoyGicJgMxwctM+iOhCRZ2jEaosRnMpwYtMygH8A6RxQHdLruANSAZarSAbJsa9+AiChiBMwwG4L/rrWaTm/HaIiSmyzlwWoeE7Tcah4DWerQjhERUVsJ+cxHJh+plZh8JEpAsmSHzXxJs+kSjMi03w+9riAKURFRKLKUghTzuGbTJRiQlfoA6y1RhDW2lZc2my7BiCw76xxRPJBgRXrKzQFKZGSlPgK9rmu7x0REkWHQ5SPDfk/Ai4EsxlFQ5KwoREWUnFRVhdU4Ejq1W7MyndoNVuNIqGrgi4GIKL6IUMlHolZiy0CUgPS6Tki3TYbFOAyVta/A6y2D0XAM0qz/hCTnRjs8IgpAr+uENNv1MBtP2ldvS2E0HI006zWQ5Jxoh0eUcBrbyhtgMQ5FZe2r++oc20qieKLX5cGG82HUHY6K2hfh8eyEXtcX6SmTIEnZ0Q6PiA6RLHVCQfYXqKx5FQ3ORZDlVNitf4dJfwz0usJoh0eUVPS6LsjPeBM19Z+gtuEjAIDVdC5s5jHQ67pEOToiipRQdz7yxkdqLSYfiRKUXtcJel0nGHQDIIQbkmyHXs2IdlhEFIJeVwi9rhAG3ZH76m0K9GpmtMMiSlh/1bkBrHNEcUqvK4BeVwBV7QEIJyBZYdDxoh2iRKDX2QDYkJYyBalaBQAVBj2TjkTRotd1gd1yLazmswEAitQBqmqIclREFEmh7nzkMx+ptZh8JEpw4Qwb5/W6oGk7IQGAZICq/jVWv6bVQWhVEJCgKBmQJH3bBUtEAMKrt008nmIAtRACkOUMKIq97QIjSlAHO8SqppXD660EAEhSClQ1E15vNYRWDkiALGdBlvnsSKL2YNB1DHtej6cUQlQDEJDlNABuCOGFLFkgsx0lijl6NR1AeovzeTxOCLFr3+9aPVQ1/ONCsvJ6SxovwJIMUBRerEwtU1UDVIQe1lwILzStBBAaJNkGWbZB0xogROW+GYwQogKQBCTJAkXhqCNEsYIJRoqkuH/m48MPP4whQ4bAbDYjNTU14Dzbt2/H6NGjYbFYkJmZiRtuuAEul6t9AyWKUR7PdtTXPY+y0vNRXHwyKitvgsu1HB53MdzuTaiqvB3FxSeipPgUVFdPh8ezK9ohExEAt7sebvd6VFfdh5Li4SgtORM11Y/C49kS7dCIkoLHvQlVVdNRWnI6SktGoKb6frjdG+H1elFScipKikeiuup+eNysk0SxxO3eiJrq+1FaMgKlJWeguno6NK0Wbncayiv+CZdrDTTNEe0wiaiVPJ7taKifgbLSCxp/11ZMhtO5DG53UbRDi0lebxnq62ajtPRcFO8djPKysXA4FkLTqqMdGsU5r3cPamqeQ0nxCOzdOwRVlQ/A7d6Iqqq7UVf3PwjNidraZ1FaejaK9w5HVeVdcLvXwuOpinboRARA07SgZUxMUmvFffLR5XLhwgsvxLXXXhuw3Ov1YtSoUairq8OiRYvw3nvvYfbs2bjlllvaOVKi2OPxbENlxS2oqXkcmrYXgBsu5yKUlpwDr7YJXm8HNDR8BCEaIEQV6mpnoKz0Ini9u6MdOhFhF0pLxsDh+HRfHa1Gff1MlJWOZQKSqI15PJtRWnYxGurfhhC1EKIeDQ2zUVZ6LiSpHEJkQIga1Ne/hbKyi+DxbI12yEQEwO3ehLLSc9HQMBtC1EOIWjTUv43yskugqkVwOX9EacmZ8Lh/j3aoRNQKHs82VFVOQU3N/0HT9gBww+VajLLSc6B5N0U7vJijabWorX0BlZWT4PVsBuCG270G5WUXw9HwDYTwRjtEilNebzHKy65Gbc1j0LRSAB6YzKMa297692AyDUJ5+RWoq5sBTSsH4IDD8TVKS0ZDCJ5nIooFzC9SJMV98vH+++/HTTfdhP79+wcs/+abb7B27Vq89dZbGDBgAE477TQ88cQTeOWVV1BdzSu6KLl5vXvgcv0vUAmqqx6AouwN8J4tcDqXtH1wRBSUppWjtvblfUPG+fN6t8HpWBSFqIiSg8fjgaPha2gBLsTRtHLU172FrOy5vmle7y44GuaGvIKUiNqe11uNurr/7DvZeWDZLjgcc5GesRmAF1VVd8PrbT4fEcUmTSuB0zk/UAmqqu+Hx72tvUOKaZpWirraGQHLqqunwettfh6AKBwez59wu5f7XhsMJ8Pp+B6aVo6MzAVwu9fA4/mj2fuEaEBN9VP87hHFABHqdysTk9RKcZ98bMmSJUvQr18/5Ofn+6aNHDkSTqcTy5cvD/o+p9OJ6upqvz+iRON0zA9a5nb/CsAZsKyh/iNoWuCyaGB9pWSjeSvgdM4LWu5wfAmPp7QdIwof6yvFv2I4HN8ELXU6vwfgn7RwOL6CEPGXyGB9pUQitFK4nD8ELXc65kKRywAAbvdqCFHTXqFFBOsrJTNHiAvvPO7fIdDQjtG0LNr1tXFEhsAnlzWtHEKraNd4KHE4Gub6vdbrB8Lp/BEAoChd4HB8EfS9Tuc8aFptm8Z3MKJdX4nam6YFzzBy2FVqrYRPPu7Zswc5OTl+09LS0qDX67Fnz56g75s+fTrsdrvvr6CgoK1DJWp3smwLUapDsEOEJKdAkmLn8MH6SslGQIIsmYOWS5IVsqxvx4jCx/pK8U6SdJBC1j8zAPWAaVY0tqvxhfWVEomA0kLdtQBSUz3VAVDaJa5IYX2lZBb6d62CA9vlaIt2fQ11LGycIf76LBQbJNnu91oIZ2P7CkCSJEhS8Lra2F+W2jK8gxLt+krU7phgpAiKnezBfqZNm7avUQr+t2zZsrCXJ0nNGy8hRMDpTe68805UVVX5/nbs2HFQ20IUywzGUxCsc2c0jQIQuGNosVwOKYZ+kLC+UrLR6brCbBkftNxs+RtkOaUdIwof6yvFO0XJgtkyIWi52XwZAIvfNItlAhTFHvgNMYz1lRKJTlfYQtt5GTyexr6vyTQGspzeXqFFBOsrJTOD4QQEO71lNJ4OWba2b0AtiHZ9VZQOkKTAvxVUtXfcHf8odphMZ/m9dji+gsl8LgCgvPxRmM0XB32v2XwJZDmvTeM7GNGur0TtjXc+UiTF1uVf+1x//fW45JJLQs7TuXPnsJaVm5uLn3/+2W9aRUUF3G53szsi92cwGGAwGMJaB1G8kiQrUuwPoLrqXr/pitIJKbZbUVnZfCgWs/nvUNVu7RViWFhfKRkZjSPgaPgSLpd/G2cyXQxV7RydoMLA+kqJQKfrBaPxbDgcn/pNNxhOgt5wPEqKD/dNM5rOgarr3d4hRgTrKyUag+EEGAwn+YaAa2I0joGq9kRJcTcoSifYUm6DLLdwZ1CMYX2l5GaF3f4Iqqqm+E1VlI6wpUyBouRGKa7Aol1fFSUHaemvorxsHAC3b7ok2ZGW/m8oSmbUYqP4pii5SEm5D9XVDwAAPJ6NkCUbDIahcDr/DVkeB7PlH6ive9nvfTpdf5gtl0BRTNEIO6Ro11ei9iZCJB/5zEdqrZhMPmZmZiIzMzKdncGDB+Phhx9GUVER8vIar6D55ptvYDAYMGjQoIisgyheqWpHGI0jYdAfi/r62dC0YhgMp0CnHwhV1wVp6XvhcX+A+vrZkGQTzOaLoSgFUBReCUkUbapaiNTUp+DxbkZD/SeQJANM5gugKDlQ1cJoh0eU0FS1ECn2KbBYL0d9/YcAPDCZzoWqFsLjqYLJfBEAFWbzBVCUAqhqh2iHTERorLv21P+Dx7MNDQ0fobGeng9ZzkNtzS9IS38FOt0AqGp+tEMlolbQ6TpAkk5Blv5b1DfMhubdC4NhGPSGo6CqXaIdXsyRJBUGwzHIzpmPhoYv4XGvg95wHAyGoVCUjtEOj+KYLKfAbBkLg3Eo6uv+C00rgSRnwJ76GLzeXaitfRZW6ySYTaNRX/8hhKiF0XQWdLoe/A1LFCNC3flI1FoxmXxsje3bt6O8vBzbt2+H1+vFqlWrAADdu3eH1WrFiBEj0KdPH4wfPx6PP/44ysvLceutt+Lqq69GSkpsDklH1J5UtSOAjrDr+zUrU5QcKEoODMYT2j8wImqRqusMVdcZRuMp0Q6FKOmoameoamcYDMcdMB0wGp+OTlBE1KKmums0DvWbnpbeOToBEVFE/PW7tm+0Q4kLkqSHqnaBzXZdtEOhBCPLKZDlFNhT7/ObrqoF+/WbO0Nv4A0hRDFlX84x1J2PHHaVWivuk4/33XcfZs2a5Xs9YMAAAMC8efMwbNgwKIqCL774AhMnTsTxxx8Pk8mEsWPH4l//+le0QiYiIiIiIiIiIiIiIooZIsTYqkw+UmvFffJx5syZmDlzZsh5OnXqhM8//7x9AiIiIiIiIiIiIiIiIoojoe98bMdAKCHI0Q6AiIiIiIiIiIiIiIiIIquspAbVlfVhzRvymY/MPlIrMflIRERERERERERERESUYMad9hhuufyVkPM0pRWFpgWfh8lHaiUmH4mIiIiIiIiIiIiIiBLQji2lYc0X6s5H5h6ptZh8JCIiIiIiIiIiIiJKckIICBH87jdKcKESjMw+Uisx+UhERERERERERERElOS2Vf0bP27rxQRkgvB6vK2b38vPnSKHyUciIiIiIiIiIiIioiS3o+o1AEC9e3OUI2m9Ovd21Lt3RjuMmOJ0elo1f+hnPh5qNJRsmHwkIiIiIiIiIiIiIkpyEhQAgNO7N8qRtN6CnWdi6Z6rox1GTHG1NvkYIsMYqowoECYfiYiIiIiIiIiIiIgIAODyFkc7hFbxaPUAgHrPjihHEltcTner5te0MJKPLSQhn7v5TXz2yg+tWi8lJjXaARARERERERERERERUfQIocErGpN4bm95lKNpHae3NNohxKTW3vmohXrmY3i5R3zx2nwAwOirT2nVuinx8M5HIiIiIiIiIiIiIqIk5hV1ALwAAI9WFd1gWsm1X7JUE6272y+Rud2tfeZjy3c+hhp+tbV3WlJiY/KRiIiIiIiIiIiIiCiJebx/JRzdcZZ89Gi1vv+7tZooRtI2tIN83uL+dz56Q93V2LSeUMlHtJx8rK9uaEV0lOiYfCQiIiIiIiIiIiIiSmJurRoAoEhmv0RkpDi9Dfhk1+uocJVEfNlNsQOAJwGTj3tqD26b3C7vX/8PYwjWUMOu+nKOIfKgtVX14YZGSYDJRyIiIiIiIiIiIiKiJNY01KpeyYJnv2RepKytXo7/lX6FZeXzI75s/zsfIx97tBXX1/n+7/J6Q8zpb/9hV8MZgjXUnY8IY9jVhhqH7/9eT/hxUmJSox0AEcU/zbMTklYBuJcCMAP6oyEkM2Q1P9qhEVGYNE8lJFEOeFZDeIsh6QcAcg4ktVO0QyNKWsKzDfDuhHD/DknpCOh6Q4hcyDpTtEMjov1objckaSfg2QDh2QZJ1xtQOkFSC6MdGhEFIDw7AK0MwvULJDkN0A+AkKyQlZxoh0ZEB9C8eyGJWsC1EkKrgKQ/CpAzIakF0Q4tITUlHNsq+Vji3LXv390RX/b+Q616tLoQc8ankv2SjyX1dehgSwnrffsPu+pytZwMFCL4nY9NiclQI8A21Dl9/3fUOWGxm8OIkhIVk49EdEiEZydQ8xiE8+v9psqQbHdDw6lMQBLFAc1TBsnzG0Tl9QAaO4oCAHSHA/an+MOOKAqEZytExTWAd3PjawCQbJDSXoHm7gVZxx9xRLFAc7kg4Q+I8qsAUQlgX31VOgFpL0NSu0YzPCI6gPDsgKi+F3AtbnwNANBBsj8KTT0aso4JSKJYobn3QvL8AlF1BwA3gH11Vj8ESHmQv1PbQNNwpTolA3Wu9RFffqWrFABQ5S6L+LI9Wi1kyQhNOBJy2NXS+r+GMy1vaAg7+eh2eQL+PxjNG8adj1rwBGVD7V/PfGxg8jHpcdhVIjo0zgWAX+IRADSImgchaZHvTBBR5Emo9Es8+rhXQ9S9BE2riEpcRMlK8+yGqH7Ql3j0ETUQFddCkvZGJzAiakaSd0NUTvQlHn282yGq7oXm2RWVuIioOc1bB9HwoS/x+Bc3RNWtkJB4w/QRxTMJ1RBVt6Ip8ejjWgzRMBuaN/Hubos2j1YNWTJClaxtksCrdlfs+7c84sv2iDoY5PTG/yfgnY8VjoaA/2+J273fMx9DJB+bhlIN9czHsO58rP3rvFJDnSP4jJQUmHwkooMmPFsh6t8MXt7wIbRWjENORFHiWoVmiccmDZ9C8jL5SNSeJFEHuBYFLhQVgJfJDKKYoRU3/gXi/qVxqDgiigmSKAHq3w1SqkE4v23XeIgotMY6GSQRUv9OY52miPJoNVAkMxTZAo9WHfLZfgejxlMJAKj1VEV0uUDjnY+qbIUMvd/zHxNFpeOvRF6rko/O8O581DyNdS1U8lGEceejo36/5GMNk4/JjslHIjoEGhDq7katBJBc7RcOER0U4d0TotQJoOWhOYgogkQDmgaCC4gjCxDFjpZGBxDhnxwiorYmmt+lvD8vRxYgiimhfqeKSoTsL9NB8WhVUGQrFMkMATc0EdnkUa2nCilqGpyaA24tyAXQB8mj1UKRTVBkE9wJmHwsP9g7H/dLOO7//McDeffdPOL1BE8sNlW5UDlpx/7PfKznOeFkx+QjER00IZkA3ZFByyX9cZBlU/sFREQHRdIPDF6odAQkffsFQ0SAbAUkW/BytXv7xUJEoSmFwcskMyCH9zweImoPCqD2DVoqGY5rx1iIqCWSPkSdVPsCUNotlmTh0aqgSBYossX3OlI0oaHOU4N0fTYAoNYT2aGu3Vo1FMkIVTIn5DMf/YddDT8p7Nwv4egMkXxsetajFuKuxqayUPM01P4VG4ddJSYfieigyUoeJOsNCNjhkzMBw4ntHhMRHQQlH1B7BSySrDdDUju3bzxESU5IWZAs1wQu1J8ASExmEMUKIdkAw6mBC81XQEjp7RsQEQUlqZ0g2W4NXKgUAGqf9g2IiELT9W2smwFItlshqZ3aOaDE5/ZWQpUtUCRr4+sIJh8d3jpo8CLNl3yM7NCrbm81FNkMRTbDrSXeM3zLGw7uzkeX0x3w/wf6687H4I/ParrjUWjBb31sqHXAmmpu/D+HXU16TD4S0SERSi6ktDcAtce+KRKgPxFS2ixIapeoxkZE4ZHUQkip/waMowHoGifK+ZDs/4IIcXczEbUNWbEBxtMh2e4B5Ix9U42AaSyklPshqYFPwhBR+5PVDpBsdwPmCY13OgKAlAbJegck03mQldSoxkdE/oTSGVLqi4DSed8UBTAMh5T2KiQ1xJ3MRNTuJLUQUtqrgGE4fBe976vDwleHKZLcWgUUyQxV3pd89LYwvHwrND3vMcOQC6ANko9aNVTJAkUywZ2Adz7uP+zq/onIlricHugNKgDA6QiRfNw33GqoYVebngcZ6lmg9bUO2NKtkCTJ7y5ISk5qtAMgovgmK9mAkg0oLwKiHoACIVkgqXnRDo2IWkFSO0FY74RknQgINwAjJF1nSNEOjChJSWoBNFwMyXAiIBwADBBKOiQ5NdqhEdEBJLUjhOV6SOZLAeECJAOElAtZ4eMHiGKNrHYA1A6NQ5iLekDSQUg2SEpOtEMjogAktQtEyn2QxE2Nv1Mlc2NSMtqBJSi3twxmtQvUfcPGu7XyiC27xl0JAPuGXZV8ryPFo9VAlc1QZTPcWmSXHQvKGxqQue//pfX1Yb/P6XDDYjPC5awNmnwUQvjuZgx552PTsKveEMnHGgeMJj0MZj3qa/js82TH5CMRRcT+d2GwE0gUn2Q1E/B1Z4ko2mTVAOCvUQTYvhLFLlmxA7D7XrO+EsW2/e9yZH0lim2ykgOAFwi0NSEE3Fo5VMUOWTJBggq3tyxiy6/ed+ejVU2BWbGg2hO5uyq9wgWPqIMqWaDKKahzb4nYsmOBw+NGjcvpO1tTXF8b9nsb6l2wWIyoLK+DoyFw8nH/hKMnRPKx6c7Hpn8Dqa2sh9FigNFsQG1V+ElSSkwcdpWIiIiIiIiIiIiIKEl5RS004YQq2yFJElQlFU5vccSWX+UqhUE2QScbYFFTUOWKXGLTtS9JqlPs0Mk2uLyRu2MzFpQccKdjSX1d2O9tqHdCb1RhMOjQUO8MOI/L4fH93+30BJwHCDf5WAeT1QiTzYiaivDjpMTE5CMRERERERERERERUZJyeHYCAPRypu9fp2d3xJZf4S6BVW0cJcKq2lHuilxi0+ktBQDoZDt0sh0urRKaCP58w3izu7YG2O85izUuF2pcgROJB6qrccBg1MFk1qOuJvAzGN0u937/D5589O4bbjVU8rGytAaWFBPMNiOqy8K/Q5MSE5OPRERERERERERERERJqsG9DQCgV7Ma/1WyUO/eHLHl73XshF2XAQCw6zJQ7NwVsWXXuxsTpwYlEwYlE4BAg6coYsuPts0V5ZAPGCR8a2VlWO+trqqH2WKEyaJHTVXgZzDuf7ejO8hzIQHA626cz+MJnKAUQqCyuArWVAtsqRaU760KK0ZKXEw+EhERERERERERERElqWrnr9DJ6dDJjXcnmnSFqHNthFcLnLBqDY/mxq6GLcg05AIAMg15qHKXoTJCQ6/WuDZCJ9uhyhaY1Lx909ZHZNnR4vVqqKhsHLZ0dfFe5FlsvjJZkvBr8Z6wllNWXIOUVBNsKSaUFVcHnKeuuvEzlhUZdTXBP293U/LRFfi5kFVlNaivcSA914703FTs3rw3rBgpcUlC7HfPLgVVVVWF1NRU7NixAykpKdEOhyih2Ww2SJLU8oxBsL4StR/WV6L4wfpKFD9YX4niB+srUfxgfQ1ME078WnE8AMCmGwIAcGslcHg3RmT5W5yZWOvoAKvsgEl2wSNkVHitEVl2NBglFw63bIdZPvShXct22DDnnhPQUGWMQGQHcLmBPaWAFnyY1CbC4wG8gZOKzUgSJL0+aLEj3whdmQuKU8PmG7vBleO/bS+degaG5HdscTWHWl8p+tRoBxAvampqAAAFBQVRjoQo8VVVVR1SJ471laj9sL4SxQ/WV6L4wfpKFD9YX4niB+trYIoKPPBCHjJyVGje733T+wwwRWT5eskDq9wAVdLgFkpElhlNDqGHRygADj356KjWt03iEWhMOoaReGw1JfRnKBQJrkw9NL0MTd984M0L/n456n76pcXVHGp9pejjnY9h0jQNu3fvPuiMe3V1NQoKChLuypjW4n74C/dFo0D74VCvbAlVX7nfW4/77OAky35ry/raHhLhc+I2xIZ42Ia2rq/xsA/iBfdlZMTzfoxUfRVCoFOnTnG5D4KJ5881kETbHiDxtqml7WF9jQ2J9r1rT8m07+L99ysQ358XY29/8Ro3wDsfEwHvfAyTLMvo2LHl24FbkpKSEncVvS1wP/yF+6JRJPdDOPWV+731uM8ODvdbaJFqXw9VInxO3IbYkAjbEEy49TWR90F7476MjGTcj031tbq68dk+ibgPEm2bEm17gMTbprbanmSor+2J++/gcd+1LFZ+vwLx/Xkx9vYXr3FTfGt+3ysRERERERERERERERER0UFg8pGIiIiIiIiIiIiIiIiIIoLJx3ZiMBgwdepUGAyGaIcSVdwPf+G+aNTe+4H7vfW4zw4O91t8SITPidsQGxJhGw4V90HkcF9GBvdjYu6DRNumRNseIPG2qb22J9H2W3vj/jt43HfxJZ4/L8be/uI1bkoMkhBCRDsIIiIiIiIiIiIiIiIiIop/vPORiIiIiIiIiIiIiIiIiCKCyUciIiIiIiIiIiIiIiIiiggmH4mIiIiIiIiIiIiIiIgoIph8JCIiIiIiIiIiIiIiIqKIYPIxgqZPn46jjz4aNpsN2dnZOOecc7B+/Xq/eYQQmDZtGvLz82EymTBs2DD8/vvvUYq4fUyfPh2SJGHy5Mm+acm0H3bt2oW//e1vyMjIgNlsxpFHHonly5f7ypNhX3g8Htxzzz3o0qULTCYTunbtigceeACapvnmaY/98MILL6BLly4wGo0YNGgQFi5cGNHlxzMevyIj2Y938aal43OsC+fYGmt+/PFHjB49Gvn5+ZAkCR9//LFfeTzUl1Db4Ha7cccdd6B///6wWCzIz8/HZZddht27d0cv4Ahq6fMLZMGCBRg0aBCMRiO6du2Kl156qe0DjXGt3Y/z58+HJEnN/v7444/2CThGhdN3CSSZvpOJ1PedNm1aszqQm5sb7bBaJRHawP21tD2XX355s8/suOOOi06wYYiF30OJVGcjoaV6H87n4XQ6MWnSJGRmZsJiseDss8/Gzp0723tT2kUkjjHh7K+KigqMHz8edrsddrsd48ePR2VlZRtvHTV5+OGHMWTIEJjNZqSmpgacZ/v27Rg9ejQsFgsyMzNxww03wOVytW+gQcT6cS6e2+pYaMeIDsTkYwQtWLAA1113HX766Sd8++238Hg8GDFiBOrq6nzzPPbYY3jyySfx73//G7/88gtyc3MxfPhw1NTURDHytvPLL7/g5ZdfxuGHH+43PVn2Q0VFBY4//njodDp89dVXWLt2LZ544gm/DkIy7ItHH30UL730Ev79739j3bp1eOyxx/D444/jueee883T1vvh/fffx+TJk3H33Xdj5cqVOPHEE3HGGWdg+/btEVl+vOPx69Al+/Eu3oRzfI514RxbY01dXR2OOOII/Pvf/w5YHg/1JdQ21NfXY8WKFbj33nuxYsUKzJkzBxs2bMDZZ58dhUgjr6XP70BbtmzBmWeeiRNPPBErV67EXXfdhRtuuAGzZ89u40hjW2v3Y5P169ejqKjI93fYYYe1UYTxIZy+y4GS6TuZiH3fvn37+tWBNWvWRDukVkmENnB/4RzLTj/9dL/P7Msvv2zHCFsn2r+HErHORkKoeh/O5zF58mR89NFHeO+997Bo0SLU1tbirLPOgtfrjcbmtKlIHGPC2V9jx47FqlWr8PXXX+Prr7/GqlWrMH78+DbfPmrkcrlw4YUX4tprrw1Y7vV6MWrUKNTV1WHRokV47733MHv2bNxyyy3tHGlz8XCci+e2OtrtGFFAgtpMcXGxACAWLFgghBBC0zSRm5sr/u///s83j8PhEHa7Xbz00kvRCrPN1NTUiMMOO0x8++23YujQoeLGG28UQiTXfrjjjjvECSecELQ8WfbFqFGjxBVXXOE37bzzzhN/+9vfhBDtsx+OOeYYcc011/hN69Wrl5gyZUpElp9okv341Vo83sWflo7P8aClY2usAyA++ugj3+t4rC8HbkMgS5cuFQDEtm3b2ieodhLOtt9+++2iV69eftP++c9/iuOOO64NI4sv4ezHefPmCQCioqKiXWKKVwf2XQJJpu9kovV9p06dKo444ohohxExidAG7i/QsWzChAlizJgxUYknEtr791Ci1dlICFXvw/k8KisrhU6nE++9955vnl27dglZlsXXX3/dprFH28EcY8LZX2vXrhUAxE8//eSbZ8mSJQKA+OOPP9p4q2h/b7zxhrDb7c2mf/nll0KWZbFr1y7ftHfffVcYDAZRVVXVjhE2F2/HuXhvq3lej2IB73xsQ1VVVQCA9PR0AI1X2u7ZswcjRozwzWMwGDB06FAsXrw4KjG2peuuuw6jRo3Caaed5jc9mfbDp59+iqOOOgoXXnghsrOzMWDAALzyyiu+8mTZFyeccAK+//57bNiwAQDw66+/YtGiRTjzzDMBtP1+cLlcWL58ud/yAWDEiBEJtZ8jKdmPX63F4138aen4HA9aOrbGm0StL1VVVZAkKa7uqo2UJUuWNGt7R44ciWXLlsHtdkcpqvg1YMAA5OXl4dRTT8W8efOiHU7MObDvEkiyfCcTte+7ceNG5Ofno0uXLrjkkkuwefPmaIcUMYnaBs6fPx/Z2dno0aMHrr76ahQXF0c7pLC15++hRK2zkRCs3ofzeSxfvhxut9tvnvz8fPTr1y/p9muk9teSJUtgt9tx7LHH+uY57rjjYLfbk26fxqolS5agX79+yM/P900bOXIknE5nVB8xkgjHuXhrq3lej2IBk49tRAiBm2++GSeccAL69esHANizZw8AICcnx2/enJwcX1mieO+997BixQpMnz69WVky7YfNmzfjxRdfxGGHHYa5c+fimmuuwQ033IA333wTQPLsizvuuAOXXnopevXqBZ1OhwEDBmDy5Mm49NJLAbT9figtLYXX6034/RwpyX78ai0e7+JTS8fneNDSsTXeJGJ9cTgcmDJlCsaOHYuUlJRoh9Pu9uzZE/Dz9Hg8KC0tjVJU8ScvLw8vv/wyZs+ejTlz5qBnz5449dRT8eOPP0Y7tJgRqO8SSLJ8JxOx73vsscfizTffxNy5c/HKK69gz549GDJkCMrKyqIdWkQkYht4xhln4O2338YPP/yAJ554Ar/88gtOOeUUOJ3OaIfWovb+PZSIdTYSQtX7cD6PPXv2QK/XIy0tLeg8ySJS+2vPnj3Izs5utvzs7Oyk26exKlBfJy0tDXq9PqqfUSIc5+KpreZ5PYoVarQDSFTXX389Vq9ejUWLFjUrkyTJ77UQotm0eLZjxw7ceOON+Oabb2A0GoPOl+j7AQA0TcNRRx2FRx55BEDjFeu///47XnzxRVx22WW++RJ9X7z//vt466238M4776Bv375YtWoVJk+ejPz8fEyYMME3X1vvh0Tfz5GSzMev1uLxLn6Fe3yOZeEeW+NNotQXt9uNSy65BJqm4YUXXoh2OFET6PMMNJ2C69mzJ3r27Ol7PXjwYOzYsQP/+te/cNJJJ0UxstgRqu9yoGT6TibK8RRoTGQ16d+/PwYPHoxu3bph1qxZuPnmm6MYWWQl0md28cUX+/7fr18/HHXUUSgsLMQXX3yB8847L4qRtSxav4cS6fOPhFD1/rjjjgNwcPssmfdrJPZXoPmTeZ9GwrRp03D//feHnOeXX37BUUcdFdbyYvkzSoTjXDxsA8/rUazgnY9tYNKkSfj0008xb948dOzY0Tc9NzcXAJpdTVBcXNzsqoN4tnz5chQXF2PQoEFQVRWqqmLBggV49tlnoaqqb1sTfT8AjVeq9+nTx29a7969fQ9TTpbvxG233YYpU6bgkksuQf/+/TF+/HjcdNNNvjvF2no/ZGZmQlGUhN/PkZDsx6/W4vEufrV0fI4HLR1b400iHWfcbjcuuugibNmyBd9++21S3vUINH6mgT5PVVWRkZERpagSw3HHHYeNGzdGO4yYEKzvEkiyfCeToe9rsVjQv3//hKkHidQGBpOXl4fCwsKY/8yi8XsoGepsJOxf78P5PHJzc+FyuVBRURF0nmQRqf2Vm5uLvXv3Nlt+SUlJ0u3TSLr++uuxbt26kH+hRnbYX6C+TkVFBdxud1Q/o0Q4zsVLW83zehRLmHyMICEErr/+esyZMwc//PADunTp4lfepUsX5Obm4ttvv/VNc7lcWLBgAYYMGdLe4baZU089FWvWrMGqVat8f0cddRTGjRuHVatWoWvXrkmxHwDg+OOPx/r16/2mbdiwAYWFhQCS5ztRX18PWfY/3CiKAk3TvceiTwAALi9JREFUALT9ftDr9Rg0aJDf8gHg22+/Taj9fCh4/Do4PN7Fr5aOz/GgpWNrvEmU40xT4nHjxo347rvvEiqh0VqDBw9u1vZ+8803OOqoo6DT6aIUVWJYuXIl8vLyoh1GVLXUdwkkWb6TydD3dTqdWLduXcLUg0RpA0MpKyvDjh07YvYzi+bvoWSos5Gwf70P5/MYNGgQdDqd3zxFRUX47bffkm6/Rmp/DR48GFVVVVi6dKlvnp9//hlVVVVJt08jKTMzE7169Qr5F2qkpf0NHjwYv/32G4qKinzTvvnmGxgMBgwaNKitNqFFiXCci/W2muf1KCYJiphrr71W2O12MX/+fFFUVOT7q6+v983zf//3f8Jut4s5c+aINWvWiEsvvVTk5eWJ6urqKEbe9oYOHSpuvPFG3+tk2Q9Lly4VqqqKhx9+WGzcuFG8/fbbwmw2i7feess3TzLsiwkTJogOHTqIzz//XGzZskXMmTNHZGZmittvv903T1vvh/fee0/odDrx2muvibVr14rJkycLi8Uitm7dGpHlxzsevyInWY938Sac43OsC+fYGmtqamrEypUrxcqVKwUA8eSTT4qVK1eKbdu2CSHio76E2ga32y3OPvts0bFjR7Fq1Sq/46nT6Yx26Iespc9vypQpYvz48b75N2/eLMxms7jpppvE2rVrxWuvvSZ0Op348MMPo7UJMaG1+/Gpp54SH330kdiwYYP47bffxJQpUwQAMXv27GhtQkwIp++SzN/JROv73nLLLWL+/Pli8+bN4qeffhJnnXWWsNlscbU9idAG7i/U9tTU1IhbbrlFLF68WGzZskXMmzdPDB48WHTo0CFmtyfav4cSrc5GQkv1PpzP45prrhEdO3YU3333nVixYoU45ZRTxBFHHCE8Hk+0NqvNROIYE87+Ov3008Xhhx8ulixZIpYsWSL69+8vzjrrrHbf3mS1bds2sXLlSnH//fcLq9Xq+8xramqEEEJ4PB7Rr18/ceqpp4oVK1aI7777TnTs2FFcf/31UY48Po5z8dxWR7sdIwqEyccIAhDw74033vDNo2mamDp1qsjNzRUGg0GcdNJJYs2aNdELup0ceDI+mfbDZ599Jvr16ycMBoPo1auXePnll/3Kk2FfVFdXixtvvFF06tRJGI1G0bVrV3H33Xf7nYhtj/3w/PPPi8LCQqHX68XAgQPFggULIrr8eMbjV+Qk8/Eu3rR0fI514RxbY828efMCHmsmTJgghIiP+hJqG7Zs2RL0eDpv3rxoh37IWvr8JkyYIIYOHer3nvnz54sBAwYIvV4vOnfuLF588cX2DzzGtHY/Pvroo6Jbt27CaDSKtLQ0ccIJJ4gvvvgiOsHHkHD6Lsn+nUykvu/FF18s8vLyhE6nE/n5+eK8884Tv//+e7TDapVEaAP3F2p76uvrxYgRI0RWVpbQ6XSiU6dOYsKECWL79u3RDjuoWPg9lEh1NhJaqvfhfB4NDQ3i+uuvF+np6cJkMomzzjorpr+HhyISx5hw9ldZWZkYN26csNlswmaziXHjxomKiop22kqaMGFCi781tm3bJkaNGiVMJpNIT08X119/vXA4HNELej+xfpyL57Y6FtoxogNJQggR7l2SRERERERERERERERERETB8JmPRERERERERERERERERBQRTD4SERERERERERERERERUUQw+UhEREREREREREREREREEcHkIxERERERERERERERERFFBJOPRERERERERERERERERBQRTD4SERERERERERERERERUUQw+UhEREREREREREREREREEcHkIxERERERERERERERERFFBJOPFBPmz58PSZJQWVkZ7VCI4hrrUniGDRuGyZMnRzsMSiLJXDc7d+6Mp59+OirrnjZtGo488siorJviT0vf1a1bt0KSJKxatSqs5V1++eU455xzIhJbrIuVbW3tZ0R0sJK1fWEfmij2RbPvTclDkqSQf5dffnm0Q4w4toFErcfkI0XM5Zdf7mtkdDodcnJyMHz4cLz++uvQNC3ke4cMGYKioiLY7fZ2ija0d955B4qi4Jprrol2KJSEEqEuDRs2LGAHNFbq1Jw5c/Dggw9GOwyKM4lQN5skQjsXzg/eW2+9Fd9//320Q6V2MHr0aJx22mkBy5YsWQJJkrBixYpDWkdBQQGKiorQr1+/Q1rOwZo9ezaOPfZY2O122Gw29O3bF7fccktUYjkU+x9LVVVFp06dcO2116KioqLVyzkw4RntzygZtFWi+WAu0ikuLsY///lPdOrUCQaDAbm5uRg5ciSWLFkS8fgO1J7ty8yZMyFJEnr37t2s7IMPPoAkSejcuXNE1xnNi6YSoY9CkbVnzx5MmjQJXbt2hcFgQEFBAUaPHh3zfbyZM2ciNTU12mEQtYmioiLf39NPP42UlBS/ac8880y0Qwyb2+1O6PURRROTjxRRp59+OoqKirB161Z89dVXOPnkk3HjjTfirLPOgsfjCfget9sNvV6P3NxcSJLUZrG5XK6w53399ddx++2347333kN9fX2bxUQUTCLUpauvvtqv81lUVITHHnuszeIKR1MnLz09HTabLaqxUHxKhLoJJEY7F84PXqvVioyMjGiHSu3gyiuvxA8//IBt27Y1K3v99ddx5JFHYuDAgYe0DkVRkJubC1VVD2k5B+O7777DJZdcggsuuABLly7F8uXL8fDDD7eq3seS/Y+lr776Kj777DNMnDjxkJcbzc+I2t/555+PX3/9FbNmzcKGDRvw6aefYtiwYSgvLz/oZYZ7QrC92xeLxYLi4uJmidXXX38dnTp1arc42kMi9FEocrZu3YpBgwbhhx9+wGOPPYY1a9bg66+/xsknn4zrrrvuoJbp9XpbvHCQiELLzc31/dntdkiS5Dftxx9/xKBBg2A0GtG1a1fcf//9fr+XJUnCjBkzcNZZZ8FsNqN3795YsmQJ/vzzTwwbNgwWiwWDBw/Gpk2bfO9pGnVgxowZKCgogNlsxoUXXtjsQpk33ngDvXv3htFoRK9evfDCCy/4yppGyfjggw8wbNgwGI1GvPXWWygrK8Oll16Kjh07wmw2o3///nj33Xd977v88suxYMECPPPMM76L6LZu3RrwIoOPP/7Y73d/U9yvv/667yIKIQSqqqrwj3/8A9nZ2UhJScEpp5yCX3/9NUKfEFFsYPKRIqrpitMOHTpg4MCBuOuuu/DJJ5/gq6++wsyZMwE0NjAvvfQSxowZA4vFgoceesjvysqqqiqYTCZ8/fXXfsueM2cOLBYLamtrAQC7du3CxRdfjLS0NGRkZGDMmDHYunWrb/6mq3KnT5+O/Px89OjRI6xt2Lp1KxYvXowpU6agV69e+PDDD5vN88orr/gaunPPPRdPPvlks8bms88+C9nQEoWSCHXJbDb7dT5zc3ORkpICAHjzzTdhtVqxceNG3/yTJk1Cjx49UFdXB6BxuJgHH3wQY8eOhdVqRX5+Pp577jm/dbTUWQvWyTtwuAyXy4Xbb78dHTp0gMViwbHHHov58+f7yps6lHPnzkXv3r1htVp9J0739/rrr6Nv374wGAzIy8vD9ddfH3asFB8SoW6Gaueee+459O/f3/e66YfT888/75s2cuRI3HnnnQCATZs2YcyYMcjJyYHVasXRRx+N7777LuT633jjDdjtdnz77bcAgLVr1+LMM8+E1WpFTk4Oxo8fj9LS0ha3o6UfvHa7vdmweE377JFHHkFOTg5SU1N97fNtt92G9PR0dOzYEa+//rrfulr6LCj6zjrrLGRnZ/vqYZP6+nq8//77uPLKK7F48WKcdNJJMJlMKCgowA033OBrc/af/4orroDNZkOnTp3w8ssv+8oCDen5+++/Y9SoUUhJSYHNZsOJJ57od5Jkf0IIPPbYY+jatStMJhOOOOKIgP3MQD7//HOccMIJuO2229CzZ0/06NED55xzjl+7GIkTMkDL33ev14ubb74ZqampyMjIwO233w4hRFjb0aTpWNqxY0eMGDECF198Mb755hu/dVx55ZXo0qULTCYTevbs6XcF/bRp0zBr1ix88sknvhNA8+fPD/gZLViwAMccc4yvbZ4yZQr75G3kySefRP/+/WGxWFBQUICJEyf62jQA2LZtG0aPHo20tDRYLBb07dsXX375JbZu3YqTTz4ZAJCWlhbWcG2VlZVYtGgRHn30UZx88skoLCzEMcccgzvvvBOjRo3yzXcwfcUZM2agQ4cOzZITZ599NiZMmOD3vv21ZT9QVVWMHTvWr33auXMn5s+fj7Fjxzab/8UXX0S3bt2g1+vRs2dP/Oc///ErlyQJr776Ks4991yYzWYcdthh+PTTTwGgxc9D0zTcfvvtSE9PR25uLqZNm+a37GnTpvnuRs3Pz8cNN9wQ9nZG6rd4S9tP8WPixImQJAlLly7FBRdcgB49eqBv3764+eab8dNPPwFo+djT9Fvu888/R58+fWAwGLBt2zYUFRVh1KhRMJlM6NKlC955551mQ5Zu374dY8aMgdVqRUpKCi666CLs3bs3ItvW0rLD6WcXFxdj9OjRvm14++23IxIb0aGYO3cu/va3v+GGG27A2rVrMWPGDMycORMPP/yw33wPPvggLrvsMqxatQq9evXC2LFj8c9//hN33nknli1bBgB+bSkA/Pnnn/jggw/w2Wef4euvv8aqVav8LkR45ZVXcPfdd+Phhx/GunXr8Mgjj+Dee+/FrFmz/JZzxx134IYbbsC6deswcuRIOBwODBo0CJ9//jl+++03/OMf/8D48ePx888/AwCeeeYZDB482O8i+4KCgrD3SVPcs2fP9vVTR40ahT179uDLL7/E8uXLMXDgQJx66qmHdBEVUcwRRBEyYcIEMWbMmIBlRxxxhDjjjDOEEEIAENnZ2eK1114TmzZtElu3bhXz5s0TAERFRYUQQojzzz9f/O1vf/Nbxvnnny8uvfRSIYQQdXV14rDDDhNXXHGFWL16tVi7dq0YO3as6Nmzp3A6nb54rFarGD9+vPjtt9/EmjVrwtqOe++9V1xwwQVCCCGee+45cdJJJ/mVL1q0SMiyLB5//HGxfv168fzzz4v09HRht9t983z99dciJSVFzJw5U2zatEl88803onPnzmLatGlhxUDJLRHq0tChQ8WNN94Ycp4LL7xQHH300cLtdouvvvpK6HQ6sXTpUl95YWGhsNlsYvr06WL9+vXi2WefFYqiiG+++UYIIYSmaeL4448Xo0ePFr/88ovYsGGDuOWWW0RGRoYoKysTQggxdepUYbFYxMiRI8WKFSvEr7/+KjRNaxbf2LFjxZAhQ8SPP/4o/vzzT/H4448Lg8EgNmzYIIQQ4o033hA6nU6cdtpp4pdffhHLly8XvXv3FmPHjvUt44UXXhBGo1E8/fTTYv369WLp0qXiqaeeCjtWin2JUDeFCN3OrV69WkiSJEpKSoQQQkyePFlkZmaKCy+8UAghhNvtFlarVXz11VdCCCFWrVolXnrpJbF69WqxYcMGcffddwuj0Si2bdvmW2ZhYaGvLjz++OMiPT1dLFmyRAghxO7du0VmZqa48847xbp168SKFSvE8OHDxcknnxzWtjR54403/NrhJlOnThVHHHGE7/WECROEzWYT1113nfjjjz/Ea6+9JgCIkSNHiocfflhs2LBBPPjgg0Kn04nt27cLIcL7LCg23HbbbaJz585C0zTftJkzZwqDwSB+/PFHYbVaxVNPPSU2bNgg/ve//4kBAwaIyy+/3DdvYWGhSE9PF88//7zYuHGjmD59upBlWaxbt04IIcSWLVsEALFy5UohhBA7d+4U6enp4rzzzhO//PKLWL9+vXj99dfFH3/8IYRofsy46667RK9evcTXX38tNm3aJN544w1hMBjE/PnzW9y26dOni6ysrJD1vKnNO+WUU8TKlSvFggULRPfu3f3aqpdfflnk5eWJ2bNni82bN4vZs2eL9PR0MXPmTCFEeN/3Rx99VNjtdvHhhx+KtWvXiiuvvFLYbLagx8cDHbhfNm3aJPr06SNycnJ801wul7jvvvvE0qVLxebNm8Vbb70lzGazeP/994UQQtTU1IiLLrpInH766aKoqEgUFRUJp9MZ8DMym81i4sSJYt26deKjjz4SmZmZYurUqWHFSs2Fagufeuop8cMPP4jNmzeL77//XvTs2VNce+21vvJRo0aJ4cOHi9WrV4tNmzaJzz77TCxYsEB4PB4xe/ZsAUCsX79eFBUVicrKypBxNLVHkydPFg6HI+A8B9tXLC0tFXq9Xnz33Xe+ZZWXlwu9Xi/mzp3re9/+7Utb9gOb2riVK1cKm80m6urqhBBCPPjgg2LMmDHiqaeeEoWFhb7558yZI3Q6nXj++efF+vXrxRNPPCEURRE//PCDbx4AomPHjuKdd94RGzduFDfccIOwWq2irKws5OcxdOhQkZKSIqZNmyY2bNggZs2aJSRJ8vXP//vf/4qUlBTx5Zdfim3btomff/5ZvPzyyy1uY5NI/BYPZ/spPpSVlQlJksQjjzwScr6Wjj1Nv+WGDBki/ve//4k//vhD1NbWitNOO00ceeSR4qeffhLLly8XQ4cOFSaTya/uDhgwQJxwwgli2bJl4qeffhIDBw4UQ4cODSv+YP3TcJcdTj/7jDPOEP369ROLFy8Wy5YtE0OGDPHbBqL2cOB3/cQTT2xWb//zn/+IvLw832sA4p577vG9XrJkiQAgXnvtNd+0d999VxiNRt/rqVOnCkVRxI4dO3zTvvrqKyHLsigqKhJCCFFQUCDeeecdv3U/+OCDYvDgwUKIv/rzTz/9dIvbdeaZZ4pbbrnF9zrQea5A9fyjjz4S+6dcpk6dKnQ6nSguLvZN+/7770VKSkqzPky3bt3EjBkzWoyNKF4w+UgRE+qH6MUXXyx69+4thGhsYCZPnuxXfuBJ2Tlz5gir1er7YVVVVSWMRqP44osvhBBCvPbaa6Jnz55+J5ecTqcwmUy+H4QTJkwQOTk5rTox6PV6RUFBgfj444+FEEKUlJQInU4nNm7c6Lcto0aN8nvfuHHjWt3QEgWTCHVp6NChQqfTCYvF4vfXdHJTiMaTOB07dhTXXnutyMnJEQ899JDfMgoLC8Xpp5/ebPubEjzhdNYCdfKa4mvqNP75559CkiSxa9cuv3lOPfVUceeddwohGjuUAMSff/7pK3/++ef9TpTm5+eLu+++O+D+YMcyMSRC3WypndM0TWRmZooPP/xQCCHEkUceKaZPny6ys7OFEEIsXrxYqKoqampqgq6jT58+4rnnnvO9bko+TpkyReTl5YnVq1f7yu69914xYsQIv/fv2LHDd8IzXK1JPhYWFgqv1+ub1rNnT3HiiSf6Xns8HmGxWMS7774rhAjvs6DYsG7dOgHA7wTzSSedJC699FIxfvx48Y9//MNv/oULFwpZlkVDQ4MQovG7uv9FAZqmiezsbPHiiy8KIZonH++8807RpUsX4XK5Asaz/zGjtrZWGI1GsXjxYr95rrzySt9FB6HU1taKM888UwAQhYWF4uKLLxavvfaaX7sSiRMy4Xzf8/LyxP/93//5yt1ut+jYsWOrko+KogiLxSKMRqMAIACIJ598MuT7Jk6cKM4//3y/5Ry4zgM/o7vuuqvZ9jz//PPCarX6HQcofKHawgN98MEHIiMjw/e6f//+QS/GPLCdDMeHH34o0tLShNFoFEOGDBF33nmn+PXXX33lh9JXPPvss8UVV1zhez1jxgyRm5srPB6P7337ty9t2Q/cv4078sgjxaxZs4SmaaJbt27ik08+aZZ8HDJkiLj66qv9lnHhhReKM8880/f6wJO+tbW1QpIk38VFwT6PoUOHihNOOMFv2tFHHy3uuOMOIYQQTzzxhOjRo0fQ42IokfotHs72U3z4+eefBQAxZ86cVr3vwGNP02+5VatW+aY19Rl++eUX37SNGzcKAL7E3TfffCMURfFdkCaEEL///rsA4HfRbDChko8Hu+z9+9nr168XAMRPP/3UbLuYfKT2dOB33Ww2C6PR6HcuqKnP1/T7F4D44IMPfO/ZvHlzs+//Dz/8IACIqqoqIURj29ulSxe/dVdWVgoAYv78+aK4uFgAECaTyW/dBoPB93u2qa+4aNEiv+V4PB7x0EMPif79+4v09HRhsViEqqq+i3CFOLTkY/fu3f3meeyxx4Qsy83OmcmyLG6//fZQu5sornDYVWoXQgi/8a6POuqokPOPGjUKqqr6hn6ZPXs2bDYbRowYAQBYvnw5/vzzT9hsNlitVlitVqSnp8PhcPgNddW/f3/o9fqw4/zmm29QV1eHM844AwCQmZmJESNG+A1vs379ehxzzDF+7zvw9fLly/HAAw/4YrNarb5b8/ncCjoU8VKXAGDcuHFYtWqV39+5557rK09LS8Nrr73mGxZpypQpzZYxePDgZq/XrVvni722thYZGRl+dW3Lli1+sRcWFiIrKytonCtWrIAQAj169PBbzoIFC/yWYzab0a1bN9/rvLw8FBcXA2gc7mb37t049dRTA64j3FgpfsVL3WypnZMkCSeddBLmz5+PyspK/P7777jmmmvg9Xqxbt06zJ8/HwMHDoTVagUA1NXV4fbbb0efPn2QmpoKq9WKP/74A9u3b/db7xNPPIEZM2Zg0aJFfsO6Ll++HPPmzfOrF7169QKANqsbffv2hSz/1QXOycnxi0lRFGRkZPjqd7ifBUVfr169MGTIEN/3edOmTVi4cCGuuOIKLF++HDNnzvT7ro0cORKapmHLli2+ZRx++OG+/zcN5dv0XTjQqlWrcOKJJ0Kn07UY29q1a+FwODB8+HC/GN58882wvkcWiwVffPEF/vzzT9xzzz2wWq245ZZbcMwxx/j1LTt16oSOHTv6Xg8ePBiapmH9+vUoKSnBjh07cOWVV/rF8NBDD/liaOn7XlVVhaKiIr/2WVXVFo95Bzr55JOxatUq/Pzzz5g0aRJGjhyJSZMm+c3z0ksv4aijjkJWVhasViteeeWVZseWlqxbtw6DBw/2Oz4ff/zxqK2txc6dO1u1LGrZvHnzMHz4cHTo0AE2mw2XXXYZysrKfMMb33DDDXjooYdw/PHHY+rUqVi9evUhre/888/H7t278emnn2LkyJG+Nqpp+OVD6SuOGzcOs2fPhtPpBAC8/fbbuOSSS6AoSrM42rMfeMUVV+CNN97AggULUFtbizPPPLPZPOvWrcPxxx/vN+3444/39aGb7H+8s1gssNlsQY93wd4H+PeJL7zwQjQ0NKBr1664+uqr8dFHH4U9zHGkfouHu/0U+8S+Ib1bemZ6S8ceANDr9X7f3fXr10NVVb/nQXfv3h1paWm+1+vWrUNBQYHf0IpNfd5D/T6Fs+yW+tnr1q1r1gb36tWr2TDERO1N0zTcf//9fueC1qxZg40bN8JoNPrm278P3VTPA00L9YzWpnkkSfLN98orr/it+7fffvMN09zEYrH4vX7iiSfw1FNP4fbbb8cPP/yAVatWYeTIkS0+X12W5WaPHwj0/OgD16dpGvLy8pqdM1u/fj1uu+22kOskiidqtAOg5LBu3Tp06dLF9/rAg+6B9Ho9LrjgArzzzju45JJL8M477+Diiy+GqjZ+ZTVNw6BBgwKOZ7//D8eW1nOg119/HeXl5TCbzb5pmqZh5cqVePDBB6EoSrMTzACaNTRNDe15553XbB37N7RErRUvdQkA7HY7unfvHnKeH3/8EYqiYPfu3airq/M9EzKU/TugeXl5fs9mbLL/D66WYtc0DYqiYPny5c1OKDUlWAA0O7ksSZKv7ptMphbXEU6sFL/ipW6G084NGzYML7/8MhYuXIgjjjgCqampOOmkk7BgwQLMnz8fw4YN8733tttuw9y5c/Gvf/0L3bt3h8lkwgUXXNDsR9qJJ56IL774Ah988IHfhQaapmH06NF49NFHm8Wal5fXqm0LV6C6HGha04/XcD8Lig1XXnklrr/+ejz//PN44403UFhYiFNPPRWapuGf//xnwGePderUyff/UN+FA7V07N9f0zK++OILdOjQwa/MYDCEvZxu3bqhW7duuOqqq3D33XejR48eeP/99/H3v/894PzBTsgce+yxfvM1tX/t9X23WCy+PsKzzz6Lk08+Gffffz8efPBBAMAHH3yAm266CU888QQGDx4Mm82Gxx9/3PfcnXCF6re3dDKbWmfbtm0488wzcc011+DBBx9Eeno6Fi1ahCuvvNJ3Eu6qq67CyJEj8cUXX+Cbb77B9OnT8cQTTzRLPLeG0WjE8OHDMXz4cNx333246qqrMHXqVFx++eWH1FccPXo0NE3DF198gaOPPhoLFy7Ek08+GTCG9uwHjhs3DrfffjumTZuGyy67zNdvOFCg7/2B01pzvAv3fQUFBVi/fj2+/fZbfPfdd5g4cSIef/xxLFiwoMULNSL1W7wppgPnYZ2PP4cddhgkScK6detwzjnnBJwnnGMP0FhP9/8OBPreHDg92PcmEt+ncJbdUj+b7RnFqoEDB2L9+vUtng86GNu3b8fu3buRn58PAFiyZAlkWUaPHj2Qk5ODDh06YPPmzRg3blyrlrtw4UKMGTMGf/vb3wA0tj8bN25E7969ffPo9Xp4vV6/92VlZaGmpgZ1dXW+/sT+zx4PZuDAgdizZw9UVUXnzp1bFStRPGHykdrcDz/8gDVr1uCmm25q1fvGjRuHESNG4Pfff8e8efN8JyOAxoP0+++/j+zs7LCSFeEoKyvDJ598gvfeew99+/b1Tdc0DSeeeCK++uornHXWWejVqxeWLl3q996mByHvH19bNbSUvOKlLoVr8eLFeOyxx/DZZ59hypQpmDRpUrOHgB94ddpPP/3kuysqUp21AQMGwOv1ori4GCeeeOJBLcNms6Fz5874/vvvcfLJJzcrZ8cyscVL3Qy3nRs2bBhuvPFGfPjhh75E49ChQ/Hdd99h8eLFuPHGG33vXbhwIS6//HLfXc21tbXYunVrs3Ufc8wxvrubFEXxXc05cOBAzJ49G507dw56AjXaonmcpNa76KKLcOONN+Kdd97BrFmzcPXVV0OSJAwcOBC///57RPtmhx9+OGbNmgW3293iSfU+ffrAYDBg+/btGDp0aETW37lzZ5jNZr87Ow71hEw43/e8vDz89NNPOOmkkwAAHo8Hy5cv97t7pLWmTp2KM844A9deey3y8/OxcOFCDBkyBBMnTvTNc+AdYoFOAB2oT58+mD17tt/J3MWLF8NmszVLAtOhWbZsGTweD5544gnf3eUffPBBs/kKCgpwzTXX4JprrsGdd96JV155BZMmTfLdxd/SZ9qSPn364OOPPwZwaP0vk8mE8847D2+//Tb+/PNP9OjRA4MGDQo4b3v2A9PT03H22Wfjgw8+wEsvvRRwnt69e2PRokW47LLLfNMWL17sdwK1JYfyeZhMJpx99tk4++yzcd1116FXr15Ys2ZNyGNEJH+LR2L7KTakp6dj5MiReP7553HDDTc0u1CgsrIy7GPPgXr16gWPx4OVK1f66vaff/6JyspK3zx9+vTB9u3bsWPHDt8dimvXrkVVVdUhf5/CWXZL/ezevXvD4/Fg2bJlvjuA169f77cNRNFw33334ayzzkJBQQEuvPBCyLKM1atXY82aNXjooYcOadlGoxETJkzAv/71L1RXV+OGG27ARRddhNzcXADAtGnTcMMNNyAlJQVnnHEGnE4nli1bhoqKCtx8881Bl9u9e3fMnj0bixcvRlpaGp588kns2bPHr6537twZP//8M7Zu3eobHeTYY4+F2WzGXXfdhUmTJmHp0qW+ERhCOe200zB48GCcc845ePTRR9GzZ0/s3r0bX375Jc4555xWjypCFKs47CpFlNPpxJ49e7Br1y6sWLECjzzyCMaMGYOzzjrLr/MfjqFDhyInJwfjxo1D586dcdxxx/nKxo0bh8zMTIwZMwYLFy7Eli1bsGDBAtx4440HPYTSf/7zH2RkZODCCy9Ev379fH+HH344zjrrLLz22msAgEmTJuHLL7/Ek08+iY0bN2LGjBn46quv/K42u++++/Dmm29i2rRp+P3337Fu3Tq8//77uOeeew4qNko+8VyXmtTX12PPnj1+fxUVFQCAmpoajB8/HpMmTcIZZ5yBd955Bx988AH++9//+i3jf//7Hx577DFs2LABzz//PP773//6Eh/7d9bmzp2LrVu3YvHixbjnnnuanYQIpUePHhg3bhwuu+wyzJkzB1u2bMEvv/yCRx99FF9++WXYy5k2bRqeeOIJPPvss9i4cSNWrFiB5557LqKxUvTFc90Mt53r168fMjIy8Pbbb/uSj8OGDcPHH3+MhoYGnHDCCb5ldu/eHXPmzMGqVavw66+/YuzYsUHvmhg8eDC++uorPPDAA3jqqacAANdddx3Ky8tx6aWXYunSpdi8eTO++eYbXHHFFYd8AjpS2vI4SZFntVpx8cUX46677sLu3btx+eWXAwDuuOMOLFmyBNdddx1WrVqFjRs34tNPPz2kO66uv/56VFdX45JLLsGyZcuwceNG/Oc//8H69eubzWuz2XDrrbfipptuwqxZs7Bp0yasXLkSzz//fLMLbwKZNm0abr/9dsyfPx9btmzBypUrccUVV8DtdmP48OG++ZpOyPz6669YuHBhwBMy06dPxzPPPIMNGzZgzZo1eOONN3x3dIXzfb/xxhvxf//3f/joo4/wxx9/YOLEiYd8onPYsGHo27cvHnnkEQCNx5Zly5Zh7ty52LBhA+6991788ssvfu/p3LkzVq9ejfXr16O0tDTgEFcTJ07Ejh07MGnSJPzxxx/45JNPMHXqVNx8881+wy9T61RVVTUbJiwrKwsejwfPPfccNm/ejP/85z/NkmOTJ0/G3LlzsWXLFqxYsQI//PCD76ReYWEhJEnC559/jpKSEtTW1oaMoaysDKeccgreeustrF69Glu2bMF///tfPPbYYxgzZgyAQ+9/jRs3Dl988QVef/11350QwbRnP3DmzJkoLS31XZB3oNtuuw0zZ87ESy+9hI0bN+LJJ5/EnDlzcOutt4a9jtZ+HvvH9tprr+G3337zfQ9MJhMKCwtDvi+Sv8Ujsf0UO1544QV4vV4cc8wxmD17NjZu3Ih169bh2WefxeDBg9GtW7cWjz2B9OrVC6eddhr+8Y9/YOnSpVi5ciX+8Y9/+N0hedppp+Hwww/HuHHjsGLFCixduhSXXXYZhg4dGnZiwOv1Njterl27Nqxlt9TP7tmzJ04//XRcffXV+Pnnn7F8+XJcddVVrRqZgagtjBw5Ep9//jm+/fZbHH300TjuuOPw5JNPttgWhKN79+4477zzcOaZZ2LEiBHo168fXnjhBV/5VVddhVdffRUzZ85E//79MXToUMycOdNvlKJA7r33XgwcOBAjR47EsGHDkJub2+yO61tvvRWKoqBPnz7IysrC9u3bkZ6ejrfeegtffvkl+vfvj3fffRfTpk1rcTskScKXX36Jk046CVdccQV69OiBSy65BFu3bkVOTs7B7Bqi2NSOz5ekBDdhwgQBQAAQqqqKrKwscdppp4nXX39deL1e33wAxEcffeT33mAPtL/tttsEAHHfffc1W19RUZG47LLLRGZmpjAYDKJr167i6quv9j2IeMKECWLMmDFhx9+/f38xceLEgGWzZ88WqqqKPXv2CCGEePnll0WHDh2EyWQS55xzjnjooYdEbm6u33u+/vprMWTIEGEymURKSoo45phjxMsvvxx2PJS84r0uCdH4IO6mbdj/b+TIkUIIIf7+97+L/v37C4fD4XvPM888I9LT08XOnTuFEEIUFhaK+++/X1x00UXCbDaLnJwc8fTTT/utp7q6WkyaNEnk5+cLnU4nCgoKxLhx48T27duFEI0P9j7iiCMCxrf/g8JdLpe47777ROfOnYVOpxO5ubni3HPPFatXrxZChPcQcSGEeOmll0TPnj2FTqcTeXl5YtKkSWHHSrEv3utma9q5888/XyiK4luXpmkiPT1dHHXUUX7v27Jlizj55JOFyWQSBQUF4t///nez+lVYWCieeuop3+sFCxYIi8UinnnmGSGEEBs2bBDnnnuuSE1NFSaTSfTq1UtMnjxZaJoW9rYFqqNCND8GBNpnB8YbKOaWPguKLYsXLxYAxIgRI/ymL126VAwfPlxYrVZhsVjE4YcfLh5++GFf+YGfuxBCHHHEEWLq1KlCiMbvOwCxcuVKX/mvv/4qRowYIcxms7DZbOLEE08UmzZtEkI0/75pmiaeeeYZXzuRlZUlRo4cKRYsWNDiNv3www/i/PPPFwUFBUKv14ucnBxx+umni4ULF/rmafq+v/DCCyI/P18YjUZx3nnnifLycr9lvf322+LII48Uer1epKWliZNOOknMmTPHV97S993tdosbb7xRpKSkiNTUVHHzzTeLyy67LOzjUbBj19tvvy30er3Yvn27cDgc4vLLLxd2u12kpqaKa6+9VkyZMsWvPhcXF/s+TwBi3rx5AT+j+fPni6OPPlro9XqRm5sr7rjjDuF2u8OKlZrbvy3c/2/ChAniySefFHl5ecJkMomRI0eKN99806/tu/7660W3bt2EwWAQWVlZYvz48aK0tNS37AceeEDk5uYKSZLEhAkTQsbhcDjElClTxMCBA4Xdbhdms1n07NlT3HPPPaK+vt4338H2FYUQwuPxiLy8PAHAV6+bBHpfW/UDg7VxTZ566ilRWFjoN+2FF14QXbt2FTqdTvTo0UO8+eabfuWB+ip2u1288cYbvteBPo9AbeaYMWN85R999JE49thjRUpKirBYLOK4444T3333XYvbGOnf4i1tP8WX3bt3i+uuu04UFhYKvV4vOnToIM4++2wxb948IYRo8dgTrA7t3r1bnHHGGcJgMIjCwkLxzjvviOzsbPHSSy/55tm2bZs4++yzhcViETabTVx44YW+72JL3njjjYDHy6b62tKyw+lnFxUViVGjRgmDwSA6deok3nzzzYD9GaJEEKrNJqLYJAkRZKBzIgrb1VdfjT/++AMLFy6MdihECaNz586YPHkyJk+eHO1QiIiIYt60adPw8ccfh/WcGSKiRMHf4hQpO3fuREFBAb777juceuqp0Q6HiA7Avi5R/InNh+sQxbh//etfGD58OCwWC7766ivMmjXL7zZ/IiIiIiIiIoos/hanSPnhhx9QW1uL/v37o6ioCLfffjs6d+7se6YxERERHRo+6IKSxsKFC2G1WoP+tcbSpUsxfPhw9O/fHy+99BKeffZZXHXVVW0UOVFsiWRdIqLISbS6uX379pDbs3379miHSBQx11xzTdDv+jXXXBPt8MLGekuRkkzfpb59+wbdzrfffjva4UUEf4tTLHK73bjrrrvQt29fnHvuucjKysL8+fOh0+nCen8y1F2iWDJt2jTe9UgUZzjsKiWNhoYG7Nq1K2h59+7d2zEaovjFukQUmxKtbno8HmzdujVoeefOnaGqHMSDEkNxcTGqq6sDlqWkpCA7O7udIzo4rLcUKcn0Xdq2bRvcbnfAspycHNhstnaOKPISrY9CBCRH3SUiIjoUTD4SERERERERERERERERUURw2FUiIiIiIiIiIiIiIiIiiggmH4mIiIiIiIiIiIiIiIgoIph8JCIiIiIiIiIiIiIiIqKIYPKRiIiIiIiIiIiIiIiIiCKCyUciIiIiIiIiIiIiIiIiiggmH4mIiIiIiIiIiIiIiIgoIph8JCIiIiIiIiIiIiIiIqKI+H/gZMhk5/5eZwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_64086/2999899917.py:15: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n", + " correlation_matrix = df.corr()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1MAAAIhCAYAAACrJeDiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABTVklEQVR4nO3de5yN5f7/8fcyM9aaGWNynDFjGDbJKWcKhRhDaNCWMpVDyvlUKCqniiiSVKqdQSHtnZzaDJWUrQN2UojYDoVJCeO0xhyu3x++s36WcZrbzNxrzOv5eKzHw7rue933515zW2u913Xd13IYY4wAAAAAANlSyO4CAAAAACA/IkwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAfBpc+bMkcPh8LqVKlVKzZs314oVK+wuzyM6Olo9evTI9uPOnDmjcePG6Ysvvsjxmvbt26d27dqpePHicjgcGjp0aJZ1xo0bl+X5vdStefPm2rdvnxwOh+bMmZPjtea1RYsWqXr16goMDJTD4dCWLVuu+pjM48+8BQQEqESJEmrQoIGGDRumbdu25X7hNrn4fChatKgaN26shQsXZlk38//svn37sr2PgQMHXnetqampeuutt9SgQQMVL15cQUFBKl++vOLi4vTxxx9f9/YB4EL+dhcAANciISFBt9xyi4wxSkpK0syZM9WhQwctW7ZMHTp0sLs8y86cOaPx48dLkpo3b56j2x42bJi+/fZbzZ49W+Hh4SpTpkyWdXr37q02bdp47h8+fFidO3fWoEGD1K1bN0970aJFVaZMGX399df629/+lqN15rU//vhDDz30kNq0aaM33nhDTqdTN9988zU/PvO5ycjI0PHjx/X9999r9uzZeu211zRp0iSNGDEiF6u3z9///nc98cQTMsZo7969mjhxorp16yZjjNe50q5dO3399deXPN/ywkMPPaTFixdr6NChGj9+vJxOp/73v/9p1apVSkxMVKdOnWypC8CNiTAFIF+oUaOG6tev77nfpk0bFStWTAsXLszXYSo3/fTTT2rYsKE6dux42XXKli2rsmXLeu5n9iaUK1dOt912W5b1L9WW3+zatUupqal68MEH1axZs2w//uLn5u6779bjjz+uzp07a+TIkapRo4batm2bkyX7hLCwMM9x33777WrSpImio6P11ltveYWpUqVKqVSpUrbUuHfvXi1atEhjxozxfEkhSS1bttSjjz6qjIyMPKvFGCO3263AwMA82yeAvMcwPwD5ksvlUuHChRUQEODV/tdff6l///6KjIxU4cKFVbFiRT399NNKSUmRJLndbtWpU0eVKlXSiRMnPI9LSkpSeHi4mjdvrvT0dElSjx49VKRIEW3btk0tW7ZUcHCwSpUqpYEDB+rMmTNXrfHAgQN68MEHVbp0aTmdTlWtWlVTp071fKDbt2+f50Pn+PHjPUOorjZc8Grb/eKLL+RwOLR7926tXLnSs93sDru62KWG+WUOE9y6dau6dOmi0NBQFS9eXI8//rjS0tK0c+dOtWnTRiEhIYqOjtaUKVOybDc5OVnDhw9XhQoVVLhwYUVGRmro0KE6ffp0tmtctmyZbr/9dgUFBSkkJEQxMTH6+uuvPct79Oihpk2bSpK6du3qGcJ4vQIDA/Xuu+8qICBAL730kqf9jz/+UP/+/VWtWjUVKVJEpUuX1l133aWvvvrKs44xRpUrV1ZsbGyW7Z46dUqhoaEaMGDAZfddp04d3XHHHVna09PTFRkZqc6dO3va3nzzTdWqVUtFihRRSEiIbrnlFo0ePdrSMZcvX16lSpXS77//7tV+qWF+33//vdq3b+85ZyMiItSuXTv99ttvl92+MUajR49WQECA3nnnnWuq6ejRo5J02V6xQoW8P/YcP35cTzzxhCpWrCin06nSpUvr7rvv1s8//+xZ52qvKZkyhynOmjVLVatWldPp1Ny5cyVJv/zyi7p16+b1f/b111+/pmMC4NvomQKQL6SnpystLU3GGP3+++966aWXdPr0aa9vxN1ut1q0aKE9e/Zo/PjxuvXWW/XVV19p0qRJ2rJliz755BO5XC59+OGHqlevnnr16qWPPvpIGRkZio+PlzFGCxculJ+fn2ebqampuvvuu9WnTx899dRT2rBhg55//nnt379fy5cvv2y9f/zxhxo3bqxz587pueeeU3R0tFasWKHhw4drz549euONN1SmTBmtWrVKbdq00SOPPKLevXtL0hW/1b+W7datW1dff/21OnXqpL/97W96+eWXJV3+A2ZOuO+++/Tggw+qT58+WrNmjaZMmaLU1FR9+umn6t+/v4YPH64FCxboySefVKVKlTwf8M+cOaNmzZrpt99+0+jRo3Xrrbdq27ZtGjNmjH788Ud9+umncjgc11TDggULFB8fr9atW2vhwoVKSUnRlClT1Lx5c3322Wdq2rSpnn32WTVs2FADBgzQxIkT1aJFCxUtWjRHnoOIiAjVq1dPGzZsUFpamvz9/fXXX39JksaOHavw8HCdOnVKH3/8saem5s2by+FwaNCgQRo6dKh++eUXVa5c2bPNefPmKTk5+YphqmfPnhoyZEiWx65evVqHDh1Sz549JUkffPCB+vfvr0GDBunll19WoUKFtHv3bm3fvt3S8Z44cUJ//fXXVXsrT58+rZiYGFWoUEGvv/66wsLClJSUpLVr1+rkyZOXfExKSop69OihTz75RMuXL/cainolVatW1U033aTx48erUKFCat26taKjoy+57smTJ9W0aVPt27dPTz75pBo1aqRTp07pyy+/1OHDh3XLLbdc02vKhZYsWaKvvvpKY8aMUXh4uEqXLq3t27ercePGKleunKZOnarw8HAlJiZq8ODB+vPPPzV27NhrOjYAPsoAgA9LSEgwkrLcnE6neeONN7zWnTVrlpFkPvzwQ6/2yZMnG0lm9erVnrZFixYZSWb69OlmzJgxplChQl7LjTGme/fuRpJ59dVXvdpfeOEFI8msX7/e01a+fHnTvXt3z/2nnnrKSDLffvut12P79etnHA6H2blzpzHGmD/++MNIMmPHjr2m5+Nat5tZU7t27a5pu5n27t1rJJmXXnrpsssSEhI8bWPHjjWSzNSpU73WrV27tpFkFi9e7GlLTU01pUqVMp07d/a0TZo0yRQqVMhs3LjR6/H/+te/jCTz73//+5rqTk9PNxEREaZmzZomPT3d037y5ElTunRp07hxY0/b2rVrjSTzz3/+85q2nelKz02mrl27Gknm999/v+TytLQ0k5qaalq2bGk6derkaU9OTjYhISFmyJAhXutXq1bNtGjR4op1/fnnn6Zw4cJm9OjRXu333XefCQsLM6mpqcYYYwYOHGhuuummK27rciSZ/v37m9TUVHPu3Dmza9cuc88995iQkBCzadMmr3Uz/8/u3bvXGGPMpk2bjCSzZMmSq+5jwIAB5ujRo6Zp06YmMjLSbNmyJdu1fvLJJ6ZkyZKe14oSJUqYLl26mGXLlnmtN2HCBCPJrFmz5rLbys5riiQTGhpq/vrrL691Y2NjTdmyZc2JEye82gcOHGhcLleW9QHkLwzzA5AvzJs3Txs3btTGjRu1cuVKde/eXQMGDNDMmTM963z++ecKDg7W3//+d6/HZg6b++yzzzxt9913n/r166cRI0bo+eef1+jRoxUTE3PJfcfHx3vdz+wNW7t27WXr/fzzz1WtWjU1bNgwSy3GGH3++edXP+g83O71at++vdf9qlWryuFweF075O/vr0qVKmn//v2ethUrVqhGjRqqXbu20tLSPLfY2Fg5HI5rnuVw586dOnTokB566CGvoVxFihTRvffeq2+++eaahmZeL2NMlrZZs2apbt26crlc8vf3V0BAgD777DPt2LHDs05ISIh69uypOXPmeIY3fv7559q+fftVZ7grUaKEOnTooLlz53qGeh47dkxLly7Vww8/LH//84NQGjZsqOPHj+uBBx7Q0qVL9eeff2br2N544w0FBASocOHCuvnmm7Vy5UotXLhQ9erVu+LjKlWqpGLFiunJJ5/UrFmzrtgTtnfvXt1+++1KTk7WN998o1q1amWrRun8NWwHDhzQxx9/rOHDh6t69epasmSJ7rnnHq/ncuXKlbr55pvVqlWry24rO68pknTXXXepWLFinvtut1ufffaZOnXqpKCgIK9z/O6775bb7dY333yT7WME4DsIUwDyhapVq6p+/fqqX7++2rRpo7feekutW7fWyJEjdfz4cUnnr5cIDw/PMiysdOnS8vf391xPkalXr15KTU2Vv7+/Bg8efMn9+vv7q0SJEl5t4eHhnv1dztGjRy85rC4iIuKqj72S3Nru9SpevLjX/cKFCysoKEgulytLu9vt9tz//ffftXXrVgUEBHjdQkJCZIy55g/8V7pWJiIiQhkZGTp27Fh2Dyvb9u/fL6fT6Xk+pk2bpn79+qlRo0b66KOP9M0332jjxo1q06aNzp496/XYQYMG6eTJk5o/f74kaebMmSpbtqzi4uKuut9evXrp4MGDWrNmjSR5hjleeP3dQw89pNmzZ2v//v269957Vbp0aTVq1MjzmKu57777tHHjRm3YsEFvvfWWQkJCdP/99+uXX3654uNCQ0O1bt061a5dW6NHj1b16tUVERGhsWPHKjU11Wvd7777Trt27VLXrl29JkbJrsDAQHXs2FEvvfSS1q1bp927d6tatWp6/fXXPVPY//HHH1fdR3ZfUy4+/44ePaq0tDS99tprWc7xu+++W5KyHWoB+BaumQKQb916661KTEzUrl271LBhQ5UoUULffvutjDFeH36OHDmitLQ0lSxZ0tN2+vRpPfTQQ7r55pv1+++/q3fv3lq6dGmWfaSlpeno0aNegSopKUmSsoSsC5UoUUKHDx/O0n7o0CFJ8qolO3Jru3YpWbKkAgMDNXv27MsuvxaZf4vLPTeFChXy6jHIDQcPHtTmzZvVrFkzT2/Q+++/r+bNm+vNN9/0WvdS1wpVqlRJbdu21euvv662bdtq2bJlGj9+vNc1fJcTGxuriIgIJSQkKDY2VgkJCWrUqJGqVavmtV7Pnj3Vs2dPnT59Wl9++aXGjh2r9u3ba9euXSpfvvwV91GqVCnPjJq33367qlatqmbNmmnYsGFX/c23mjVr6oMPPpAxRlu3btWcOXM0YcIEBQYG6qmnnvKs17VrV4WHh+vpp59WRkaGnnnmmase+7UoV66cHnvsMQ0dOlTbtm1T9erVVapUqStOgCEpW68pkrKErmLFisnPz08PPfTQZa97q1ChgsWjAuAL6JkCkG9l/tBq5oQNLVu21KlTp7RkyRKv9ebNm+dZnqlv3746cOCAFi9erHfffVfLli3TK6+8csn9ZPYUZFqwYIGkK/8uVMuWLbV9+3b997//zVKLw+FQixYtJElOp1OSsvRSXO9284v27dtrz549KlGihKfn8cLb5SYPuFiVKlUUGRmpBQsWeA21O336tD766CPPDH+55ezZs+rdu7fS0tI0cuRIT7vD4fD8jTNt3brVa4bBCw0ZMkRbt25V9+7d5efnp0cfffSa9p/5gT1zAoRNmzapV69el10/ODhYbdu21dNPP61z585Z+sHhO+64Qw8//LA++eSTyx7PxRwOh2rVqqVXXnlFN910U5bzWJKeeeYZTZ8+XWPGjNGoUaOyVdPJkyd16tSpSy7LHFaZ2Yvbtm1b7dq164pDY7PzmnIpQUFBatGihb7//nvdeuutlzzHr/SlDADfR88UgHzhp59+UlpamqTzQ2cWL16sNWvWqFOnTp5vdh9++GG9/vrr6t69u/bt26eaNWtq/fr1mjhxou6++27PtRH/+Mc/9P777yshIUHVq1dX9erVNXDgQD355JNq0qSJ1/VIhQsX1tSpU3Xq1Ck1aNDAM5tf27ZtPVNsX8qwYcM0b948tWvXThMmTFD58uX1ySef6I033lC/fv08PxIbEhKi8uXLa+nSpWrZsqWKFy+ukiVLXjZEXOt284uhQ4fqo48+0p133qlhw4bp1ltvVUZGhg4cOKDVq1friSeeUKNGja66nUKFCmnKlCmKj49X+/bt1adPH6WkpOill17S8ePH9eKLL+ZYzQcOHNA333yjjIwMnThxwvOjvfv379fUqVPVunVrz7rt27fXc889p7Fjx6pZs2bauXOnJkyYoAoVKnjO5wvFxMSoWrVqWrt2rWf6+2vVq1cvTZ48Wd26dVNgYKC6du3qtfzRRx9VYGCgmjRpojJlyigpKUmTJk1SaGioGjRoYOm5eO6557Ro0SI9++yz+vTTTy+5zooVK/TGG2+oY8eOqlixoowxWrx4sY4fP37Z6xSHDBmiIkWK6LHHHtOpU6c0Y8aMa5rVcefOnYqNjdX999+vZs2aqUyZMjp27Jg++eQTvf3222revLkaN24s6fy5t2jRIsXFxempp55Sw4YNdfbsWa1bt07t27dXixYtrvk15UpeffVVNW3aVHfccYf69eun6OhonTx5Urt379by5cttu84RQA6xbeoLALgGl5rNLzQ01NSuXdtMmzbNuN1ur/WPHj1q+vbta8qUKWP8/f1N+fLlzahRozzrbd261QQGBnrNvGeMMW6329SrV89ER0ebY8eOGWPOz+YXHBxstm7dapo3b24CAwNN8eLFTb9+/cypU6e8Hn/xbH7GGLN//37TrVs3U6JECRMQEGCqVKliXnrpJa/Z5owx5tNPPzV16tQxTqfTSMqynYtd63bzcja/P/74w2vdzOfuYs2aNTPVq1f3ajt16pR55plnTJUqVUzhwoVNaGioqVmzphk2bJhJSkrKVv1LliwxjRo1Mi6XywQHB5uWLVua//znP17rXO9sfpk3Pz8/U6xYMVOvXj0zdOhQs23btiyPSUlJMcOHDzeRkZHG5XKZunXrmiVLlpju3bub8uXLX3I/48aNM5LMN998k636jDGmcePGRpKJj4/Psmzu3LmmRYsWJiwszBQuXNhERESY++67z2zduvWq29X/zbR3KSNGjDCSzLp164wxWWfz+/nnn80DDzxg/va3v5nAwEATGhpqGjZsaObMmXPVfSxcuND4+/ubnj17Zjm/L+XYsWPm+eefN3fddZeJjIw0hQsXNsHBwaZ27drm+eefN2fOnMmy/pAhQ0y5cuVMQECAKV26tGnXrp35+eefPetc7TXlWp6jvXv3ml69epnIyEgTEBBgSpUqZRo3bmyef/75qx4TAN/mMOYSUw8BANSjRw/961//uuywISA31K9fXw6HQxs3brS7FADAVTDMDwAAmyUnJ+unn37SihUrtHnzZn388cd2lwQAuAaEKQCAT8vIyPD8ftLlZM6eZ4UxRunp6Vdcx8/P75qu2bHqv//9r1q0aKESJUpo7Nix6tixY67tK79KT0+/5O94ZXI4HNc08yEA5CSG+QEAfFqPHj00d+7cK65zPW9lX3zxxVVnQUxISPD6zSbkvejoaK8ffL5Ys2bNrvlHngEgpxCmAAA+bd++fVf9YdPM3z+y4uTJk9q5c+cV16lQoQJTWNvsxx9/VEpKymWXh4SEqEqVKnlYEQAQpgAAAADAEn60FwAAAAAsYAIKnb+4+dChQwoJCcnVC4wBAAAA+DZjjE6ePKmIiAgVKnTlvifClKRDhw4pKirK7jIAAAAA+Ihff/1VZcuWveI6hCmdv2hVOv+EFS1a1OZqAAAAANglOTlZUVFRnoxwJYQpyTO0r2jRooQpAAAAANd0+Q8TUAAAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALPC3uwAAAIC8ZoyR2+22bd8pKSmSJKfTKYfDYUsdLpfLtn0DNwrCFAAAKHDcbrdiY2PtLsNWiYmJCgwMtLsMIF9jmB8AAAAAWEDPFAAAKHBcLpcSExNt2bfb7VZcXJwkaenSpXK5XLbUYdd+gRsJYQoAABQ4DofDJ4a4uVwun6gDgDUM8wMAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwAJbw9SXX36pDh06KCIiQg6HQ0uWLPFabozRuHHjFBERocDAQDVv3lzbtm3zWiclJUWDBg1SyZIlFRwcrHvuuUe//fZbHh4FAAAAgILI1jB1+vRp1apVSzNnzrzk8ilTpmjatGmaOXOmNm7cqPDwcMXExOjkyZOedYYOHaqPP/5YH3zwgdavX69Tp06pffv2Sk9Pz6vDAAAAAFAA+du587Zt26pt27aXXGaM0fTp0/X000+rc+fOkqS5c+cqLCxMCxYsUJ8+fXTixAm9++67eu+999SqVStJ0vvvv6+oqCh9+umnio2NzbNjAQAAAFCw+Ow1U3v37lVSUpJat27taXM6nWrWrJk2bNggSdq8ebNSU1O91omIiFCNGjU861xKSkqKkpOTvW4AAAAAkB0+G6aSkpIkSWFhYV7tYWFhnmVJSUkqXLiwihUrdtl1LmXSpEkKDQ313KKionK4egAAAAA3OluH+V0Lh8Phdd8Yk6XtYldbZ9SoUXr88cc995OTkwlUAADkMWOM3G633WXkuQuPuSAevyS5XK6rfp4D8gOfDVPh4eGSzvc+lSlTxtN+5MgRT29VeHi4zp07p2PHjnn1Th05ckSNGze+7LadTqecTmcuVQ4AAK6F2+0u8Nc3x8XF2V2CLRITExUYGGh3GcB189lhfhUqVFB4eLjWrFnjaTt37pzWrVvnCUr16tVTQECA1zqHDx/WTz/9dMUwBQAAAADXy9aeqVOnTmn37t2e+3v37tWWLVtUvHhxlStXTkOHDtXEiRNVuXJlVa5cWRMnTlRQUJC6desmSQoNDdUjjzyiJ554QiVKlFDx4sU1fPhw1axZ0zO7HwAA8H1PSipsdxF5xEhK/b9/B0gqKIPdzkmabHcRQA6zNUxt2rRJLVq08NzPvI6pe/fumjNnjkaOHKmzZ8+qf//+OnbsmBo1aqTVq1crJCTE85hXXnlF/v7+uu+++3T27Fm1bNlSc+bMkZ+fX54fDwAAsKawpMIFJlZIBfNiA2N3AUCOcxhjCvyZnZycrNDQUJ04cUJFixa1uxwAAAqEs2fPeq6ZelYFK0wVROdk9Nz//ZtrpuDLspMNfPaaKQAAAADwZYQpAAAAALDAZ6dGx9XZ+fscxhilpKRIOj/VvF2/FcHvVAAAAMAuhKl8jN/nYMw1AAAA7MMwPwAAAACwgJ6pfMzlcikxMdGWfbvdbs+vti9dulQul8uWOuzaLwAAAECYysccDodPDHFzuVw+UQcAAACQlxjmBwAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABb4210AAACZjDFyu9227TslJUWS5HQ65XA4bKnD5XLZtm8AQPYQpgAAPsPtdis2NtbuMmyVmJiowMBAu8vIc+ckScbmKpCbztldAJALCFMAAMB2k+0uAAAsIEwBAHyGy+VSYmKiLft2u92Ki4uTJC1dulQul8uWOuzaLwAg+whTAACf4XA4fGKIm8vl8ok6CpInJRW2uwjkqnOiBxI3HsIUAACwXWFJhcXEGzc2ronDjYep0QEAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABf52F5DfGWPkdrvtLiPPXXjMBfH4JcnlcsnhcNhdBgAAAGxCmLpObrdbsbGxdpdhq7i4OLtLsEViYqICAwPtLgMAAAA2YZgfAAAAAFhAz1QOOl03XipUQJ5SY6SMtPP/LuQvFZThbhlpCv7vfLurAAAAgA8oIJ/880ghf8kvwO4q8lBhuwsAAAAAbMMwPwAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACzwt7sAAACAc5IkY3MVecNISv2/fwdIcthYS146Z3cBQC4gTAEAANtNtrsAALCAYX4AAAAAYAE9UwAAwBYul0uJiYl2l5Hn3G634uLiJElLly6Vy+WyuaK8VxCPGTcmwhQAALCFw+FQYGCg3WXYyuVyFfjnAMjPGOYHAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwAKfD1NpaWl65plnVKFCBQUGBqpixYqaMGGCMjIyPOsYYzRu3DhFREQoMDBQzZs317Zt22ysGgAAAMCNzufD1OTJkzVr1izNnDlTO3bs0JQpU/TSSy/ptdde86wzZcoUTZs2TTNnztTGjRsVHh6umJgYnTx50sbKAQAAANzI/O0u4Gq+/vprxcXFqV27dpKk6OhoLVy4UJs2bZJ0vldq+vTpevrpp9W5c2dJ0ty5cxUWFqYFCxaoT58+ttUOAAB8kzFGbrfbln1fuF+7apAkl8slh8Nh2/6BG4HPh6mmTZtq1qxZ2rVrl26++Wb98MMPWr9+vaZPny5J2rt3r5KSktS6dWvPY5xOp5o1a6YNGzZcMkylpKQoJSXFcz85OTnXjwMAAPgOt9ut2NhYu8tQXFycbftOTExUYGCgbfsHbgQ+H6aefPJJnThxQrfccov8/PyUnp6uF154QQ888IAkKSkpSZIUFhbm9biwsDDt37//ktucNGmSxo8fn7uFAwAAALih+XyYWrRokd5//30tWLBA1atX15YtWzR06FBFRESoe/funvUu7qY2xly263rUqFF6/PHHPfeTk5MVFRWVOwcAAAB8jsvlUmJioi37NsZ4Rsg4nU7bhtq5XC5b9gvcSHw+TI0YMUJPPfWU7r//fklSzZo1tX//fk2aNEndu3dXeHi4pPM9VGXKlPE87siRI1l6qzI5nU45nc7cLx4A8iE7ryWxk69cx2KngnQNjcPhsHWIW1BQkG37BpBzfD5MnTlzRoUKeU866Ofn55kavUKFCgoPD9eaNWtUp04dSdK5c+e0bt06TZ48Oc/rBYD8zleuJbGTndex2IlraAAge3w+THXo0EEvvPCCypUrp+rVq+v777/XtGnT1KtXL0nnv1kaOnSoJk6cqMqVK6ty5cqaOHGigoKC1K1bN5urBwAAAHCj8vkw9dprr+nZZ59V//79deTIEUVERKhPnz4aM2aMZ52RI0fq7Nmz6t+/v44dO6ZGjRpp9erVCgkJsbFyAMj/0juk54N3ihxiJKX/37/9JBWM0W5SmuS33M/uKgAgX/L5t8iQkBBNnz7dMxX6pTgcDo0bN07jxo3Ls7oAoEDwVz54p8hBAXYXAADITwpdfRUAAAAAwMUIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABY4G93AQAAAEBuMsbI7Xbbtu+UlBRb9u0rnE6nHA6HLft2uVy5um/CFAAAAG5obrdbsbGxdpcBGyQmJiowMDDXts8wPwAAAACwgJ4pAAAAFBj31O4v/0IBebY/Y4zSM9LybH++yK+Qf54O80vLSNWyLW/kyb4IUwAAACgw/AsFyN+vcJ7uM0DOPN0f8g7D/AAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABY4G93AQAAAEBeSUtPtbsE5LK8/BsTpgAAAFBgLPvhDbtLwA0kR4b5ud3unNgMAAAAAOQblnumMjIy9MILL2jWrFn6/ffftWvXLlWsWFHPPvusoqOj9cgjj+RknQAAAMB1u6dWf/n7BdhdBnJRWnpqnvVAWg5Tzz//vObOnaspU6bo0Ucf9bTXrFlTr7zyCmEKAAAAPsffL0D+foXtLgM3CMvD/ObNm6e3335b8fHx8vPz87Tfeuut+vnnn3OkOAAAAADwVZbD1MGDB1WpUqUs7RkZGUpNZZYUAAAAADc2y2GqevXq+uqrr7K0//Of/1SdOnWuqygAAAAA8HWWr5kaO3asHnroIR08eFAZGRlavHixdu7cqXnz5mnFihU5WSMAAAAA+BzLPVMdOnTQokWL9O9//1sOh0NjxozRjh07tHz5csXExORkjQAAAADgcyz1TKWlpemFF15Qr169tG7dupyuCQAAAAB8nqWeKX9/f7300ktKT0/P6XoAAAAAIF+wPMyvVatW+uKLL3KwFAAAAADIPyxPQNG2bVuNGjVKP/30k+rVq6fg4GCv5ffcc891FwfANxhj5Ha7bdt3SkqKJMnpdMrhcNhSh8vlsm3fAADAN1kOU/369ZMkTZs2Lcsyh8PBEEDgBuJ2uxUbG2t3GbZKTExUYGCg3WUAAAAfYjlMZWRk5GQdAAAAAJCvWA5TAAoOl8ulxMREW/btdrsVFxcnSVq6dKlcLpctddi1XwAA4LuuK0ytW7dOL7/8snbs2CGHw6GqVatqxIgRuuOOO3KqPknSwYMH9eSTT2rlypU6e/asbr75Zr377ruqV6+epPPXVIwfP15vv/22jh07pkaNGun1119X9erVc7QOoKByOBw+McTN5XL5RB0AAADSdczm9/7776tVq1YKCgrS4MGDNXDgQAUGBqply5ZasGBBjhV47NgxNWnSRAEBAVq5cqW2b9+uqVOn6qabbvKsM2XKFE2bNk0zZ87Uxo0bFR4erpiYGJ08eTLH6gAAAACAC1numXrhhRc0ZcoUDRs2zNM2ZMgQTZs2Tc8995y6deuWIwVOnjxZUVFRSkhI8LRFR0d7/m2M0fTp0/X000+rc+fOkqS5c+cqLCxMCxYsUJ8+fXKkDgAAAAC4kOWeqf/973/q0KFDlvZ77rlHe/fuva6iLrRs2TLVr19fXbp0UenSpVWnTh298847nuV79+5VUlKSWrdu7WlzOp1q1qyZNmzYcMltpqSkKDk52esGAAAAANlhOUxFRUXps88+y9L+2WefKSoq6rqKutD//vc/vfnmm6pcubISExPVt29fDR48WPPmzZMkJSUlSZLCwsK8HhcWFuZZdrFJkyYpNDTUc8vJegEAAAAUDJaH+T3xxBMaPHiwtmzZosaNG8vhcGj9+vWaM2eOXn311RwrMCMjQ/Xr19fEiRMlSXXq1NG2bdv05ptv6uGHH/asd/GPaRpjLvsDm6NGjdLjjz/uuZ+cnEygAgAAAJAt1/WjveHh4Zo6dao+/PBDSVLVqlW1aNEizzTGOaFMmTKqVq2aV1vVqlX10UcfSZLCw8Mlne+hKlOmjGedI0eOZOmtyuR0OuV0OnOsRgAAAAAFz3VNjd6pUyd16tQpp2q5pCZNmmjnzp1ebbt27VL58uUlSRUqVFB4eLjWrFmjOnXqSJLOnTundevWafLkyblaGwAAAICCy3KY2rhxozIyMtSoUSOv9m+//VZ+fn6qX7/+dRcnScOGDVPjxo01ceJE3Xffffruu+/09ttv6+2335Z0fnjf0KFDNXHiRFWuXFmVK1fWxIkTFRQUlGMzCgIAAADAxSyHqQEDBmjkyJFZwtTBgwc1efJkffvtt9ddnCQ1aNBAH3/8sUaNGqUJEyaoQoUKmj59uuLj4z3rjBw5UmfPnlX//v09P9q7evVqhYSE5EgNgC8wxsjtdttdRp678JgL4vFL53+s+HLXgAIAAPtYDlPbt29X3bp1s7TXqVNH27dvv66iLta+fXu1b9/+sssdDofGjRuncePG5eh+AV/idrsVGxtrdxm2ysnrMfOTxMREBQYG2l0GAAC4iOWp0Z1Op37//fcs7YcPH5a//3VdigUAAAAAPs9y6omJidGoUaO0dOlShYaGSpKOHz+u0aNHKyYmJscKBJDV63cel9PP2F1GnjBGOpdx/t+FC0kFZbRbSrpDA768ye4yAADAFVgOU1OnTtWdd96p8uXLe2bR27Jli8LCwvTee+/lWIEAsnL6Gbn87K4i7xTMAW4FIywDAJCfWQ5TkZGR2rp1q+bPn68ffvhBgYGB6tmzpx544AEFBATkZI0AAAAA4HOu6+Km4OBgPfbYYzlVCwAAAADkG9megGL37t3avHmzV9tnn32mFi1aqGHDhpo4cWKOFQcAAAAAvirbYWrEiBFasmSJ5/7evXvVoUMHFS5cWLfffrsmTZqk6dOn52CJAAAAAOB7sj3Mb9OmTRo5cqTn/vz583XzzTcrMTFRknTrrbfqtdde09ChQ3OsSAAAAADwNdnumfrzzz9VtmxZz/21a9eqQ4cOnvvNmzfXvn37cqQ4AAAAAPBV2Q5TxYsX1+HDhyVJGRkZ2rRpkxo1auRZfu7cORnDlL4AAAAAbmzZDlPNmjXTc889p19//VXTp09XRkaGWrRo4Vm+fft2RUdH52SNAAAAAOBzsn3N1AsvvKCYmBhFR0erUKFCmjFjhoKDgz3L33vvPd111105WiQAAAAA+Jpsh6kKFSpox44d2r59u0qVKqWIiAiv5ePHj/e6pgoAAAAAbkTZHuYnSQEBAapVq1aWICVJtWrVUokSJTz3ixYtqv/973/WKwQAAAAAH2QpTGUHk1EAAAAAuBHlepgCAAAAgBsRYQoAAAAALCBMAQAAAIAFuR6mHA5Hbu8CAAAAAPIcE1AAAAAAgAWWw9TWrVsvu2zJkiWef69cuVKRkZFWdwMAAAAAPslymIqNjb3k70d99NFHio+P99xv2rSpnE6n1d0AAAAAgE+yHKb69eunli1b6vDhw562RYsW6eGHH9acOXNyojYAAAAA8Fn+Vh84ZswYHT16VK1atdJXX32lVatWqXfv3nrvvfd077335mSNAAAAAOBzLIcpSXr11Vf10EMP6bbbbtPBgwe1cOFCxcXF5VRtAAAAAOCzshWmli1blqWtY8eOWrdunR544AE5HA7POvfcc0/OVAgAAAAAPihbYapjx46XXTZ79mzNnj1b0vnflkpPT7+uwgAAAADAl2UrTGVkZORWHQAAAACQr+Toj/YeP348JzcHAAAAAD7LcpiaPHmyFi1a5LnfpUsXFS9eXJGRkfrhhx9ypDgAAAAA8FWWw9Rbb72lqKgoSdKaNWv06aefatWqVWrbtq1GjBiRYwUCAAAAgC+yPDX64cOHPWFqxYoVuu+++9S6dWtFR0erUaNGOVYgAAAAAPgiyz1TxYoV06+//ipJWrVqlVq1aiVJMsYwkx8AAACAG57lnqnOnTurW7duqly5so4ePaq2bdtKkrZs2aJKlSrlWIEAAAAA4Issh6lXXnlF0dHR+vXXXzVlyhQVKVJE0vnhf/3798+xAgEAAADAF1kOUwEBARo+fHiW9qFDh15PPQAAAACQL2QrTC1btkxt27ZVQECAli1bdsV177nnnusqDAAAAAB8WbbCVMeOHZWUlKTSpUurY8eOl13P4XAwCQUAAACAG1q2wlRGRsYl/32x3377zXpFAAAAAJAPWJ4a/VKSkpI0ePBgVa5cOSc3CwAAAAA+J9th6vjx44qPj1epUqUUERGhGTNmKCMjQ2PGjFHFihX19ddfa/bs2blRKwAAAAD4jGzP5jd69Gh9+eWX6t69u1atWqVhw4Zp1apVcrvdWrlypZo1a5YbdQIAAACAT8l2mPrkk0+UkJCgVq1aqX///qpUqZJuvvlmTZ8+PRfKAwAAAADflO1hfocOHVK1atUkSRUrVpTL5VLv3r1zvDAAAAAA8GXZDlMZGRkKCAjw3Pfz81NwcHCOFgUAAAAAvi7bw/yMMerRo4ecTqckye12q2/fvlkC1eLFi3OmQgAAAADwQdkOU927d/e6/+CDD+ZYMQAAAACQX2Q7TCUkJORGHQAAAACQr+Toj/YCAAAAQEFBmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAX+dhdwQ0lPtbsC5Db+xgAAAPg/hKkcFPz9ArtLAAAAAJBHGOYHAAAAABbQM5WDTtfpJvkF2F0GclN6Kj2QAAAAkESYyll+AYQpAAAAoIBgmB8AAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwIF+FqUmTJsnhcGjo0KGeNmOMxo0bp4iICAUGBqp58+batm2bfUUCAAAAKBDyTZjauHGj3n77bd16661e7VOmTNG0adM0c+ZMbdy4UeHh4YqJidHJkydtqhQAAABAQZAvwtSpU6cUHx+vd955R8WKFfO0G2M0ffp0Pf300+rcubNq1KihuXPn6syZM1qwYMFlt5eSkqLk5GSvGwAAAABkR74IUwMGDFC7du3UqlUrr/a9e/cqKSlJrVu39rQ5nU41a9ZMGzZsuOz2Jk2apNDQUM8tKioq12oHAAAAcGPy+TD1wQcf6L///a8mTZqUZVlSUpIkKSwszKs9LCzMs+xSRo0apRMnTnhuv/76a84WDQAAAOCG5293AVfy66+/asiQIVq9erVcLtdl13M4HF73jTFZ2i7kdDrldDpzrE4AAAAABY9P90xt3rxZR44cUb169eTv7y9/f3+tW7dOM2bMkL+/v6dH6uJeqCNHjmTprQIAAACAnOTTYaply5b68ccftWXLFs+tfv36io+P15YtW1SxYkWFh4drzZo1nsecO3dO69atU+PGjW2sHAAAAMCNzqeH+YWEhKhGjRpebcHBwSpRooSnfejQoZo4caIqV66sypUra+LEiQoKClK3bt3sKBkAAABAAeHTYepajBw5UmfPnlX//v117NgxNWrUSKtXr1ZISIjdpQEAAAC4geW7MPXFF1943Xc4HBo3bpzGjRtnSz0AAAAACiafvmYKAAAAAHwVYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAAC/ztLgAA4MPS7C4AuY6/MQBYRpgCAFyW33I/u0sAAMBnMcwPAAAAACygZwoAcFnpHdJ5p7jRpdEDCQBW8RYJALg8f/FOAQDAZTDMDwAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABP8UIALi8NLsLyENGUvr//dtPksPGWvJSQfobA0AOI0wBAC7Lb7mf3SUAAOCzGOYHAAAAABbQMwUA8OJyuZSYmGh3GXnO7XYrLi5OkrR06VK5XC6bK8p7BfGYAeB6EKYAAF4cDocCAwPtLsNWLperwD8HAICrY5gfAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAAAAMACwhQAAAAAWECYAgAAAAALCFMAAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALPC3uwAA2ZeSbncFyG38jQEA8H2EKSAfGvBlMbtLAAAAKPAY5gcAAAAAFtAzBeRDr995TE4/u6tAbkpJpwcSAHJDWkaq3SXkGWOM0jPSJEl+hfzlcDhsrihv5OXfmDAF5ENOP8lFmAIAINuWbXnD7hJwA2GYHwAAAABYQM8UAAAAbmgul0uJiYl2l5Hn3G634uLiJElLly6Vy+WyuaK8l9vHTJgCAADADc3hcCgwMNDuMmzlcrkK/HOQGxjmBwAAAAAW+HyYmjRpkho0aKCQkBCVLl1aHTt21M6dO73WMcZo3LhxioiIUGBgoJo3b65t27bZVDEAAACAgsDnw9S6des0YMAAffPNN1qzZo3S0tLUunVrnT592rPOlClTNG3aNM2cOVMbN25UeHi4YmJidPLkSRsrBwAAAHAj8/lrplatWuV1PyEhQaVLl9bmzZt15513yhij6dOn6+mnn1bnzp0lSXPnzlVYWJgWLFigPn362FE2AAAAgBucz/dMXezEiROSpOLFi0uS9u7dq6SkJLVu3dqzjtPpVLNmzbRhw4ZLbiMlJUXJycleNwAAAADIjnwVpowxevzxx9W0aVPVqFFDkpSUlCRJCgsL81o3LCzMs+xikyZNUmhoqOcWFRWVu4UDAAAAuOH4/DC/Cw0cOFBbt27V+vXrsyxzOBxe940xWdoyjRo1So8//rjnfnJyMoEKAAAAOc4YI7fbbcu+L9yvXTVI56dlv9zn8vwu34SpQYMGadmyZfryyy9VtmxZT3t4eLik8z1UZcqU8bQfOXIkS29VJqfTKafTmbsFAwAAoMBzu92KjY21uwzPj/faITEx8Yb9jSufH+ZnjNHAgQO1ePFiff7556pQoYLX8goVKig8PFxr1qzxtJ07d07r1q1T48aN87pcAAAAAAWEz/dMDRgwQAsWLNDSpUsVEhLiuQ4qNDRUgYGBcjgcGjp0qCZOnKjKlSurcuXKmjhxooKCgtStWzebqwcAAEBB5nK5lJiYaMu+jTFKSUmRdH5kll1D7Vwuly37zQs+H6befPNNSVLz5s292hMSEtSjRw9J0siRI3X27Fn1799fx44dU6NGjbR69WqFhITkcbUAAADA/+dwOGwd4hYUFGTbvgsCnw9TxpirruNwODRu3DiNGzcu9wsCAAAAAOWDa6YAAAAAwBcRpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABggb/dBdxQMtLsriDvGPP/j7eQv+Rw2FtPXilIf2MAAABcEWEqBwX/d77dJQAAAADIIwzzAwAAAAAL6Jm6Ti6XS4mJiXaXkefcbrfi4uIkSUuXLpXL5bK5orxXEI8ZAAAA/x9h6jo5HA4FBgbaXYatXC5XgX8OAAAAUPAwzA8AAAAALCBMAQAAAIAFDPMD8qGUdIckY3cZecIY6VzG+X8XLlRwZuE//zcGAAC+jDAF5EMDvrzJ7hIAAAAKPIb5AQAAAIAF9EwB+QTT8DMNPwAA8C2EKSCfYBp+puEvCIwxcrvdtuz7wv3aVYN0/jx3FJSLAwEgnyNMAQB8htvtVmxsrN1leHpD7ZCYmMiXBgCQT3DNFAAAAABYQM8UAMBn2HltoDFGKSkpkiSn02nbUDuukQOA/IMwBQDwGXZfGxgUFGTbvgEA+Q/D/AAAAADAAsIUAAAAAFjAMD8AV8V01UxXDQAAsiJMAbgqpqtmumoAAJAVw/wAAAAAwAJ6pgBcFdNVM101AADIijCVj3EdC9ex5BWmqwYAAMiKMJWPcR0L17EAAADAPlwzBQAAAAAW0DOVj3EdC9exAAAAwD6EqXyM61gAAAAA+zDMDwAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFhAmAIAAAAACwhTAAAAAGABYQoAAAAALCBMAQAAAIAFhCkAAAAAsIAwBQAAAAAWEKYAAAAAwALCFAAAAABYQJgCAAAAAAsIUwAAAABgAWEKAAAAACzwt7sAX2CMkSQlJyfbXAkAAAAAO2VmgsyMcCWEKUknT56UJEVFRdlcCQAAAABfcPLkSYWGhl5xHYe5lsh1g8vIyNChQ4cUEhIih8Nhdzn5RnJysqKiovTrr7+qaNGidpeDGxjnGvIK5xryCuca8grnWvYZY3Ty5ElFRESoUKErXxVFz5SkQoUKqWzZsnaXkW8VLVqU/5zIE5xryCuca8grnGvIK5xr2XO1HqlMTEABAAAAABYQpgAAAADAAsIULHM6nRo7dqycTqfdpeAGx7mGvMK5hrzCuYa8wrmWu5iAAgAAAAAsoGcKAAAAACwgTAEAAACABYQpAAAAALCAMIVc43A4tGTJErvLQB4wxuixxx5T8eLF5XA4tGXLFrtLAgBbzZkzRzfddFO2HtOjRw917NgxV+oBLmXcuHGqXbu23WXka4SpG1CPHj3kcDjUt2/fLMv69+8vh8OhHj165Hodhw8fVtu2bXN9P8g7GzZskJ+fn9q0aePVvmrVKs2ZM0crVqzQ4cOHVaNGDcI0fELm66HD4VBAQIDCwsIUExOj2bNnKyMjw+7ykE9lnlcvvviiV/uSJUvkcDgkSV27dtWuXbtyfN/R0dGaPn16jm8Xee/C16cLbxe/x+am4cOH67PPPsuz/d2ICFM3qKioKH3wwQc6e/asp83tdmvhwoUqV66c5e0aY5SWlnZN64aHhzMN5w1m9uzZGjRokNavX68DBw542vfs2aMyZcqocePGCg8Pl7+/f47tMzU1Nce2hYKpTZs2Onz4sPbt26eVK1eqRYsWGjJkiNq3b3/Nr2fAxVwulyZPnqxjx45dcnlgYKBKly6dx1Uhv8l8fbrwtnDhwjzbf5EiRVSiRIk829+NiDB1g6pbt67KlSunxYsXe9oWL16sqKgo1alTx9OWkpKiwYMHq3Tp0nK5XGratKk2btzoWf7FF1/I4XAoMTFR9evXl9Pp1FdffaXmzZtr8ODBGjlypIoXL67w8HCNGzfOq4YLeyb27dsnh8OhxYsXq0WLFgoKClKtWrX09ddfez3mnXfeUVRUlIKCgtSpUydNmzYt28MkkDtOnz6tDz/8UP369VP79u01Z84cSee/WRs0aJAOHDggh8Oh6OhoRUdHS5I6derkacu0fPly1atXTy6XSxUrVtT48eO9PtA6HA7NmjVLcXFxCg4O1vPPP+8ZhvDee+8pOjpaoaGhuv/++3Xy5EnP4652LkvSunXr1LBhQzmdTpUpU0ZPPfWU176v5bxG/uN0OhUeHq7IyEjVrVtXo0eP1tKlS7Vy5UrPeTxt2jTVrFlTwcHBioqKUv/+/XXq1ClJ58/9okWL6l//+pfXdpcvX67g4GCv8xAFR6tWrRQeHq5JkyZdcvmlhvk9//zzKl26tEJCQtS7d2899dRTlxxi9fLLL6tMmTIqUaKEBgwY4PlSqXnz5tq/f7+GDRvm6cVA/pb5+nThrVixYnrggQd0//33e62bmpqqkiVLKiEhQdL5L7inTJmiihUrKjAwULVq1fJ6ncr8DPfZZ5+pfv36CgoKUuPGjbVz507POhcP88scanq5c1A6P/KoXbt2CgwMVIUKFbRgwYIC3WNKmLqB9ezZ0/MfTjrfq9CrVy+vdUaOHKmPPvpIc+fO1X//+19VqlRJsbGx+uuvv7KsN2nSJO3YsUO33nqrJGnu3LkKDg7Wt99+qylTpmjChAlas2bNFWt6+umnNXz4cG3ZskU333yzHnjgAc+H2f/85z/q27evhgwZoi1btigmJkYvvPBCTjwVyAGLFi1SlSpVVKVKFT344INKSEiQMUavvvqqJkyYoLJly+rw4cPauHGjJ8QkJCR42iQpMTFRDz74oAYPHqzt27frrbfe0pw5c7L8nceOHau4uDj9+OOPnnN2z549WrJkiVasWKEVK1Zo3bp1XkNsrnYuHzx4UHfffbcaNGigH374QW+++abeffddPf/88177tnJeI/+56667VKtWLc8XToUKFdKMGTP0008/ae7cufr88881cuRISVJwcLDuv/9+r9dT6fz5/fe//10hISF5Xj/s5+fnp4kTJ+q1117Tb7/9dtX158+frxdeeEGTJ0/W5s2bVa5cOb355ptZ1lu7dq327NmjtWvXau7cuZozZ44n9C9evFhly5bVhAkTPL0YuDHFx8dr2bJlni91pPPvoadPn9a9994rSXrmmWeUkJCgN998U9u2bdOwYcP04IMPat26dV7bevrppzV16lRt2rRJ/v7+WT4LXuxK56AkPfzwwzp06JC++OILffTRR3r77bd15MiRnDv4/MbghtO9e3cTFxdn/vjjD+N0Os3evXvNvn37jMvlMn/88YeJi4sz3bt3N6dOnTIBAQFm/vz5nseeO3fOREREmClTphhjjFm7dq2RZJYsWeK1j2bNmpmmTZt6tTVo0MA8+eSTnvuSzMcff2yMMWbv3r1GkvnHP/7hWb5t2zYjyezYscMYY0zXrl1Nu3btvLYZHx9vQkNDr/s5wfVr3LixmT59ujHGmNTUVFOyZEmzZs0aY4wxr7zyiilfvrzX+hf+/TPdcccdZuLEiV5t7733nilTpozX44YOHeq1ztixY01QUJBJTk72tI0YMcI0atTIGGOu6VwePXq0qVKlisnIyPCs8/rrr5siRYqY9PR0Y8y1ndfIXzJfDy+la9eupmrVqpdc9uGHH5oSJUp47n/77bfGz8/PHDx40BhjzB9//GECAgLMF198keM1w/ddeF7ddtttplevXsYYYz7++GOT+dEqISHB6/2rUaNGZsCAAV7badKkialVq5bXdsuXL2/S0tI8bV26dDFdu3b13C9fvrx55ZVXcvaAYIvu3bsbPz8/Exwc7HWbMGGCOXfunClZsqSZN2+eZ/0HHnjAdOnSxRhz/n3P5XKZDRs2eG3zkUceMQ888IAx5v9/hvv00089yz/55BMjyZw9e9YYc/79NTvn4I4dO4wks3HjRs/yX375xUgqsOclPVM3sJIlS6pdu3aaO3euEhIS1K5dO5UsWdKzfM+ePUpNTVWTJk08bQEBAWrYsKF27Njhta369etn2X5mD1WmMmXKXPWbiQsfU6ZMGUnyPGbnzp1q2LCh1/oX34c9du7cqe+++84z5MDf319du3bV7Nmzs7WdzZs3a8KECSpSpIjn9uijj+rw4cM6c+aMZ71LnW/R0dFePQAXnm/Xci7v2LFDt99+u9ewmCZNmujUqVNe3ypbOa+RPxljPOfD2rVrFRMTo8jISIWEhOjhhx/W0aNHdfr0aUnnX4uqV6+uefPmSZLee+89lStXTnfeeadt9cM3TJ48WXPnztX27duvuN61vsdVr15dfn5+nvu8Bt3YWrRooS1btnjdBgwYoICAAHXp0kXz58+XdH648dKlSxUfHy9J2r59u9xut2JiYrzeU+fNm6c9e/Z47eNKn70u5Urn4M6dO+Xv76+6det6lleqVEnFihW7zmci/8q5q8Thk3r16qWBAwdKkl5//XWvZcYYScoy5vrCDxiZgoODs2w7ICDA677D4bjq7FgXPiZzH5mPudR+M2uEvd59912lpaUpMjLS02aMUUBAwGUvvr6UjIwMjR8/Xp07d86yzOVyef6d3fPtWs7lK51fF7ZbOa+RP+3YsUMVKlTQ/v37dffdd6tv37567rnnVLx4ca1fv16PPPKI13UCvXv31syZM/XUU08pISFBPXv25JoV6M4771RsbKxGjx591Zlyr+U9jteggiU4OFiVKlW65LL4+Hg1a9ZMR44c0Zo1a+RyuTyzJGeeE5988onXe7OkLJN/Xemz16Vcy/vtxQry5zV6pm5wbdq00blz53Tu3DnFxsZ6LatUqZIKFy6s9evXe9pSU1O1adMmVa1aNa9L1S233KLvvvvOq23Tpk15Xge8paWlad68eZo6darXN2c//PCDypcv7/nW7GIBAQFKT0/3aqtbt6527typSpUqZbkVKmT95ehazuVq1appw4YNXi/4GzZsUEhISJY3Itz4Pv/8c/3444+69957tWnTJqWlpWnq1Km67bbbdPPNN+vQoUNZHvPggw/qwIEDmjFjhrZt26bu3bvbUDl80Ysvvqjly5drw4YNl12nSpUqOfIeV7hw4SyvrbgxNW7cWFFRUVq0aJHmz5+vLl26qHDhwpLOv6c5nU4dOHAgy/tpVFRUrtV0yy23KC0tTd9//72nbffu3Tp+/Hiu7dPX0TN1g/Pz8/MMc7qwy1Y6/21Iv379NGLECBUvXlzlypXTlClTdObMGT3yyCN5XuugQYN05513atq0aerQoYM+//xzrVy5km9+bbZixQodO3ZMjzzyiEJDQ72W/f3vf9e77757yQ+V0dHR+uyzz9SkSRM5nU4VK1ZMY8aMUfv27RUVFaUuXbqoUKFC2rp1q3788ccsE0Fkx7Wcy/3799f06dM1aNAgDRw4UDt37tTYsWP1+OOPX1eQg+9LSUlRUlKS0tPT9fvvv2vVqlWaNGmS2rdvr4cfflg//vij0tLS9Nprr6lDhw76z3/+o1mzZmXZTrFixdS5c2eNGDFCrVu3VtmyZW04GviimjVrKj4+Xq+99tpl1xk0aJAeffRR1a9fX40bN9aiRYu0detWVaxYMVv7io6O1pdffqn7779fTqfTa/g+8p/M16cL+fv7q2TJknI4HOrWrZtmzZqlXbt2ae3atZ51QkJCNHz4cA0bNkwZGRlq2rSpkpOTtWHDBhUpUiTXvuy55ZZb1KpVKz322GN68803FRAQoCeeeEKBgYEF9vManyAKgKJFi6po0aKXXPbiiy/q3nvv1UMPPaS6detq9+7dSkxMtGXsa5MmTTRr1ixNmzZNtWrV0qpVqzRs2DCv4V/Ie++++65atWqVJUhJ0r333qstW7ZccrjA1KlTtWbNGq/p+GNjY7VixQqtWbNGDRo00G233aZp06apfPny113n1c7lyMhI/fvf/9Z3332nWrVqqW/fvnrkkUf0zDPPXPe+4dtWrVqlMmXKKDo6Wm3atNHatWs1Y8YMLV26VH5+fqpdu7amTZumyZMnq0aNGpo/f/5lp7t+5JFHdO7cuavOhoWC57nnnrviUKf4+HiNGjVKw4cPV926dbV371716NEj2+9xEyZM0L59+/S3v/1NpUqVut6yYbPM16cLb02bNvUsj4+P1/bt2xUZGel1XbB0/pwbM2aMJk2apKpVqyo2NlbLly9XhQoVcrXmefPmKSwsTHfeeac6deqkRx99VCEhIQX285rDFORBjvB5jz76qH7++Wd99dVXdpcCAJo/f76GDBmiQ4cOeYbbAFbFxMQoPDxc7733nt2lAJb99ttvioqK0qeffqqWLVvaXU6eY5gffMrLL7+smJgYBQcHa+XKlZo7d67eeOMNu8sCUMCdOXNGe/fu1aRJk9SnTx+CFLLtzJkzmjVrlmJjY+Xn56eFCxfq008/5XfskO98/vnnOnXqlGrWrKnDhw9r5MiRio6OLrCzmzLMDz7lu+++U0xMjGrWrKlZs2ZpxowZ6t27t91lASjgpkyZotq1ayssLEyjRo2yuxzkQw6HQ//+9791xx13qF69elq+fLk++ugjtWrVyu7SgGxJTU3V6NGjVb16dXXq1EmlSpXSF198kWUWwIKCYX4AAAAAYAE9UwAAAABgAWEKAAAAACwgTAEAAACABYQpAAAAALCAMAUAAAAAFhCmAAC2GjdunGrXrm13GVf1888/67bbbpPL5coX9QIAch9TowMAco3D4bji8u7du2vmzJlKSUlRiRIl8qgqa7p27ao///xTs2fPVpEiRa5a74XHHhQUpIiICDVp0kSDBg1SvXr1crtcAEAeoGcKAJBrDh8+7LlNnz5dRYsW9Wp79dVXrymY+II9e/aoadOmKl++/DXXm5CQoMOHD2vbtm16/fXXderUKTVq1Ejz5s3L5WoBAHmBMAUAyDXh4eGeW2hoqBwOR5a2i4f59ejRQx07dtTEiRMVFhamm266SePHj1daWppGjBih4sWLq2zZspo9e7bXvg4ePKiuXbuqWLFiKlGihOLi4rRv375rqjMjI0MTJkxQ2bJl5XQ6Vbt2ba1atcqz3OFwaPPmzZowYYIcDofGjRt3Tdu96aabFB4erujoaLVu3Vr/+te/FB8fr4EDB+rYsWOSpKNHj+qBBx5Q2bJlFRQUpJo1a2rhwoWebcybN08lSpRQSkqK17bvvfdePfzww9dUBwAgdxCmAAA+5/PPP9ehQ4f05Zdfatq0aRo3bpzat2+vYsWK6dtvv1Xfvn3Vt29f/frrr5KkM2fOqEWLFipSpIi+/PJLrV+/XkWKFFGbNm107ty5q+7v1Vdf1dSpU/Xyyy9r69atio2N1T333KNffvlF0vketurVq+uJJ57Q4cOHNXz4cMvHNmzYMJ08eVJr1qyRJLndbtWrV08rVqzQTz/9pMcee0wPPfSQvv32W0lSly5dlJ6ermXLlnm28eeff2rFihXq2bOn5ToAANePMAUA8DnFixfXjBkzVKVKFfXq1UtVqlTRmTNnNHr0aFWuXFmjRo1S4cKF9Z///EeS9MEHH6hQoUL6xz/+oZo1a6pq1apKSEjQgQMH9MUXX1x1fy+//LKefPJJ3X///apSpYomT56s2rVra/r06ZLO97D5+/urSJEiCg8PV5EiRSwf2y233CJJnl6zyMhIDR8+XLVr11bFihU1aNAgxcbG6p///KckKTAwUN26dVNCQoJnG/Pnz1fZsmXVvHlzy3UAAK6fv90FAABwserVq6tQof//fV9YWJhq1Kjhue/n56cSJUroyJEjkqTNmzdr9+7dCgkJ8dqO2+3Wnj17rriv5ORkHTp0SE2aNPFqb9KkiX744YfrPZQsMud9ypygIj09XS+++KIWLVqkgwcPKiUlRSkpKQoODvY85tFHH1WDBg108OBBRUZGKiEhQT169LjqBB8AgNxFmAIA+JyAgACv+w6H45JtGRkZks5f81SvXj3Nnz8/y7ZKlSp1Tfu8OJgYY3IlrOzYsUOSVKFCBUnS1KlT9corr2j69OmqWbOmgoODNXToUK/hiXXq1FGtWrU0b948xcbG6scff9Ty5ctzvDYAQPYQpgAA+V7dunW1aNEilS5dWkWLFs3WY4sWLaqIiAitX79ed955p6d9w4YNatiwYU6X6pnVsFWrVpKkr776SnFxcXrwwQclnQ+Gv/zyi6pWrer1uN69e+uVV17RwYMH1apVK0VFReV4bQCA7OGaKQBAvhcfH6+SJUsqLi5OX331lfbu3at169ZpyJAh+u233676+BEjRmjy5MlatGiRdu7cqaeeekpbtmzRkCFDrquu48ePKykpSfv379eaNWv097//XQsWLNCbb76pm266SZJUqVIlrVmzRhs2bNCOHTvUp08fJSUlXfIYDx48qHfeeUe9evW6rroAADmDnikAQL4XFBSkL7/8Uk8++aQ6d+6skydPKjIyUi1btrymnqrBgwcrOTlZTzzxhI4cOaJq1app2bJlqly58nXVlTnbnsvlUmRkpJo2barvvvtOdevW9azz7LPPau/evYqNjVVQUJAee+wxdezYUSdOnPDaVtGiRXXvvffqk08+UceOHa+rLgBAznCYzCthAQCAT4uJiVHVqlU1Y8YMu0sBAIgwBQCAz/vrr7+0evVqxcfHa/v27apSpYrdJQEAxDVTAIACoEiRIpe9ffXVV9ne3sSJEy+7vbZt2+Z4/XXr1lWfPn00efJkghQA+BB6pgAAN7zdu3dfdllkZKQCAwOztb2//vpLf/311yWXBQYGKjIyMlvbAwDkT4QpAAAAALCAYX4AAAAAYAFhCgAAAAAsIEwBAAAAgAWEKQAAAACwgDAFAAAAABYQpgAAAADAAsIUAAAAAFjw/wC8auf42bX1jgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "# Pairplot numerical columns ke liye\n", + "sns.pairplot(df, hue='Risk_Score', palette='viridis')\n", + "plt.suptitle(\"Pairplot of Numerical Columns\", y=1.02)\n", + "plt.show()\n", + "\n", + "# Correlation heatmap\n", + "correlation_matrix = df.corr()\n", + "plt.figure(figsize=(12, 8))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Heatmap\")\n", + "plt.show()\n", + "\n", + "# Boxplots for categorical columns\n", + "categorical_cols = df.select_dtypes(include=['object']).columns\n", + "for col in categorical_cols:\n", + " plt.figure(figsize=(10, 6))\n", + " sns.boxplot(x=col, y='Risk_Score', data=df)\n", + " plt.title(f\"Boxplot of {col} vs Risk_Score\")\n", + " plt.show()\n", + "\n", + "# Violin plots for categorical columns\n", + "for col in categorical_cols:\n", + " plt.figure(figsize=(10, 6))\n", + " sns.violinplot(x=col, y='Risk_Score', data=df)\n", + " plt.title(f\"Violin Plot of {col} vs Risk_Score\")\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d333404a-47e8-475e-aef7-9f851423765c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Vehicle Live Risk Prediction/Model/MultivariateLogistic.ipynb b/Vehicle Live Risk Prediction/Model/MultivariateLogistic.ipynb new file mode 100644 index 000000000..b56a3e3f1 --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/MultivariateLogistic.ipynb @@ -0,0 +1,342 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f864ab40-a860-46ad-a1d9-7bdf1309a79f", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n", + "from sklearn.preprocessing import LabelEncoder" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e30f63fa-45fa-44e9-af81-a0234996cf17", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"Downloads/Vehicle Risk Prediction Dataset.csv\")\n", + "\n", + "\n", + "\n", + "# Encode categorical features using LabelEncoder\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "#le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "le_light= LabelEncoder()\n", + "#le_road_type=LabelEncoder()\n", + "#le_landscape=LabelEncoder()\n", + "\n", + "df['visibility_n'] = le_visibility.fit_transform(df['Visibility'])\n", + "df['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(df['Road_Surface_Conditions'])\n", + "df['weather_n'] = le_weather.fit_transform(df['Weather'])\n", + "df['traffic_density_n'] = le_traffic_density.fit_transform(df['Traffic_Density'])\n", + "df['road_hazards_n'] = le_road_hazards.fit_transform(df['Road_Hazards'])\n", + "#df['time_of_day_n'] = le_time_of_day.fit_transform(df['Time_of_Day'])\n", + "df['fatigue_level_n'] = le_fatigue_level.fit_transform(df['Fatigue_Level'])\n", + "df['medical_condition_n'] = le_medical_condition.fit_transform(df['Medical_Condition'])\n", + "df['speeding_n'] = le_speeding.fit_transform(df['Speeding'])\n", + "df['light_condition']=le_light.fit_transform(df['Light_Conditions'])\n", + "#df['roadtype'] = le_road_type.fit_transform(df['Road_Type'])\n", + "#df['landscape_n']=le_landscape.fit_transform(df['Landscape'])\n", + "\n", + "df = df.drop(['Light_Conditions', 'Road_Type', 'Landscape', 'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding','Driver_Age','Last_Service_Months_Ago'], axis='columns')\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9c00a4d1-7958-45db-8495-57287af3503a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\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", + " \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", + " \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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Driver_ExperienceDriver_Awake_TimeVehicle_Speed_RatioCargo_LoadTemperatureRisk_Scorevisibility_nroad_surface_conditions_nweather_ntraffic_density_nroad_hazards_nfatigue_level_nmedical_condition_nspeeding_nlight_condition
015.51.02882210.4001131502
115.51.02882210.4001131502
215.51.02882210.4001131502
335.91.091672514.7001131502
435.91.091672514.7001131502
\n", + "
" + ], + "text/plain": [ + " Driver_Experience Driver_Awake_Time Vehicle_Speed_Ratio Cargo_Load \\\n", + "0 1 5.5 1.02 88 \n", + "1 1 5.5 1.02 88 \n", + "2 1 5.5 1.02 88 \n", + "3 3 5.9 1.09 167 \n", + "4 3 5.9 1.09 167 \n", + "\n", + " Temperature Risk_Score visibility_n road_surface_conditions_n \\\n", + "0 22 10.4 0 0 \n", + "1 22 10.4 0 0 \n", + "2 22 10.4 0 0 \n", + "3 25 14.7 0 0 \n", + "4 25 14.7 0 0 \n", + "\n", + " weather_n traffic_density_n road_hazards_n fatigue_level_n \\\n", + "0 1 1 3 1 \n", + "1 1 1 3 1 \n", + "2 1 1 3 1 \n", + "3 1 1 3 1 \n", + "4 1 1 3 1 \n", + "\n", + " medical_condition_n speeding_n light_condition \n", + "0 5 0 2 \n", + "1 5 0 2 \n", + "2 5 0 2 \n", + "3 5 0 2 \n", + "4 5 0 2 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X = df.drop('Risk_Score', axis=1)\n", + "y = df['Risk_Score'].apply(lambda x: 1 if x > 50 else 0)\n", + "\n", + "# Split the data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "df.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "39c7562a-2af4-4fec-8b98-83617f173a1a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Hyperparameters: {'C': 1}\n", + "\n", + "Accuracy: 1.0\n", + "\n", + "Confusion Matrix:\n", + " [[1168 0]\n", + " [ 0 1832]]\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ], + "source": [ + "\n", + "# Standardize features\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)\n", + "\n", + "# Create Logistic Regression model with increased max_iter\n", + "logreg = LogisticRegression(max_iter=1000, random_state=42)\n", + "\n", + "# Define hyperparameters for tuning\n", + "param_grid = {'C': [0.001, 0.01, 0.1, 1, 10, 100, 1000]}\n", + "\n", + "# Use GridSearchCV for hyperparameter tuning\n", + "grid_search = GridSearchCV(logreg, param_grid, cv=5, scoring='accuracy')\n", + "grid_search.fit(X_train_scaled, y_train)\n", + "\n", + "# Get the best hyperparameters\n", + "best_params = grid_search.best_params_\n", + "\n", + "# Train the model with the best hyperparameters\n", + "best_logreg = LogisticRegression(C=best_params['C'], max_iter=1000, random_state=42)\n", + "best_logreg.fit(X_train_scaled, y_train)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred = best_logreg.predict(X_test_scaled)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "conf_matrix = confusion_matrix(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"Best Hyperparameters:\", best_params)\n", + "print(\"\\nAccuracy:\", accuracy)\n", + "print(\"\\nConfusion Matrix:\\n\", conf_matrix)\n", + "print(\"\\nClassification Report:\\n\", class_report)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "834bf220-9981-4d2d-8535-0647e8ebbed5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Vehicle Live Risk Prediction/Model/RandomForest.ipynb b/Vehicle Live Risk Prediction/Model/RandomForest.ipynb new file mode 100644 index 000000000..1b24ddede --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/RandomForest.ipynb @@ -0,0 +1,154 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 14, + "id": "e66fd664-189e-4c74-ace5-1a5685dd5575", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.model_selection import train_test_split, GridSearchCV\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "df = pd.read_csv(\"Downloads/Vehicle Risk Prediction Dataset.csv\")\n", + "\n", + "\n", + "\n", + "# Encode categorical features using LabelEncoder\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "#le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "le_light= LabelEncoder()\n", + "#le_road_type=LabelEncoder()\n", + "#le_landscape=LabelEncoder()\n", + "\n", + "df['visibility_n'] = le_visibility.fit_transform(df['Visibility'])\n", + "df['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(df['Road_Surface_Conditions'])\n", + "df['weather_n'] = le_weather.fit_transform(df['Weather'])\n", + "df['traffic_density_n'] = le_traffic_density.fit_transform(df['Traffic_Density'])\n", + "df['road_hazards_n'] = le_road_hazards.fit_transform(df['Road_Hazards'])\n", + "#df['time_of_day_n'] = le_time_of_day.fit_transform(df['Time_of_Day'])\n", + "df['fatigue_level_n'] = le_fatigue_level.fit_transform(df['Fatigue_Level'])\n", + "df['medical_condition_n'] = le_medical_condition.fit_transform(df['Medical_Condition'])\n", + "df['speeding_n'] = le_speeding.fit_transform(df['Speeding'])\n", + "df['light_condition']=le_light.fit_transform(df['Light_Conditions'])\n", + "#df['roadtype'] = le_road_type.fit_transform(df['Road_Type'])\n", + "#df['landscape_n']=le_landscape.fit_transform(df['Landscape'])\n", + "\n", + "df = df.drop(['Light_Conditions', 'Road_Type', 'Landscape', 'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding','Driver_Age','Last_Service_Months_Ago'], axis='columns')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1c5a9c57-b772-4229-ba87-b36d69e25592", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Hyperparameters: {'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}\n", + "\n", + "Accuracy: 1.0\n", + "\n", + "Confusion Matrix:\n", + " [[1168 0]\n", + " [ 0 1832]]\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ], + "source": [ + "# Separate features (X) and target variable (y)\n", + "# Separate features (X) and target variable (y)\n", + "X = df.drop('Risk_Score', axis=1)\n", + "y = df['Risk_Score'].apply(lambda x: 1 if x > 50 else 0)\n", + "\n", + "# Split the data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Define the parameter grid to search\n", + "param_grid = {\n", + " 'n_estimators': [50, 100, 150],\n", + " 'max_depth': [None, 10, 20],\n", + " 'min_samples_split': [2, 5, 10],\n", + " 'min_samples_leaf': [1, 2, 4]\n", + "}\n", + "\n", + "# Create the Random Forest model\n", + "rf_model = RandomForestClassifier(random_state=42)\n", + "\n", + "# Use GridSearchCV to find the best hyperparameters\n", + "grid_search = GridSearchCV(rf_model, param_grid, cv=5, scoring='accuracy')\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "# Get the best hyperparameters\n", + "best_params = grid_search.best_params_\n", + "print(\"Best Hyperparameters:\", best_params)\n", + "\n", + "# Use the best model for predictions\n", + "best_rf_model = grid_search.best_estimator_\n", + "y_pred = best_rf_model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "conf_matrix = confusion_matrix(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"\\nAccuracy:\", accuracy)\n", + "print(\"\\nConfusion Matrix:\\n\", conf_matrix)\n", + "print(\"\\nClassification Report:\\n\", class_report)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25684d85-1c9a-4950-a56e-479e2628307c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md new file mode 100644 index 000000000..f3c438c87 --- /dev/null +++ b/Vehicle Live Risk Prediction/README.md @@ -0,0 +1,4 @@ +WELCOME TO README OF VEHICLE RISK PREDICTION MODEL + + + diff --git a/Vehicle Live Risk Prediction/requirements.txt b/Vehicle Live Risk Prediction/requirements.txt new file mode 100644 index 000000000..291a1f74b --- /dev/null +++ b/Vehicle Live Risk Prediction/requirements.txt @@ -0,0 +1,4 @@ +pandas==1.3.3 +matplotlib==3.4.3 +numpy==1.21.2 +tensorflow==2.6.0 From f40fc095e52dc1a0c8a3937f18ff0a18d7a73cfc Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 19:20:06 +0530 Subject: [PATCH 2/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 52 +++++++++++++++++++++++++- 1 file changed, 51 insertions(+), 1 deletion(-) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index f3c438c87..d5a004834 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -1,4 +1,54 @@ -WELCOME TO README OF VEHICLE RISK PREDICTION MODEL +**VEHICLE RISK PREDICTION MODEL** +GOAL +To build a machine learning model for predicting the risk of accident or not. +**DATASET** +https://www.kaggle.com/datasets/punyamodi/vehicle-live-risk-prediction + +**DESCRIPTION** + +To analyze various factors that could possibly lead to an accident and then training all those factors via machine learning. + +**Visualization and EDA of different attributes:** + +![Alt Text](./Images/1.png) + +![Alt Text](./Images/2.png) + +![Alt Text](./Images/3.png) + + +These sample images show relationship of columns with each other(more detail in notebook 1 with EDA) + +**MODELS USED** +1)Decision Tree +2)Random Forest +3)ANN +4)Multivariate Logisitic Regression + +**LIBRARIES** +1) PANDAS +2) NUMPY +3) TENSORFLOW +4) MATPLOTLIB +5) SEABORN + +**IMPLEMENTATION** +1)Loaded the dataset with 20 columns having 15000 entries. +2)Implementated EDA with visualisation to check for relationships between data. +3)Model was trained efficiently with different algorithms +4)50+ risk_score was considered as parameter for accident risk,whereas less than value signified no risk of accident. +4)Different notebooks with different models were used for clear and concise display of information for mentor. + +**RESULT** +1)Decision Tree calculated exceptional accuracy of 0.9996. +2)Whereas rest of the models had perfection of 1.0 +3)Reason was found to be all columns are organised so perfectly that each column has power to change result based on its patterns +for example:almost all speeding column entries having YES result provide >50 risk score. +4)Similar patterns can be observed with respect to other columns. +5)Various HyperParameters and column dropping was implemented to signify no overfitting for such a perfect database. + +**NAME** +Keshav Arora From 71c54e1bee82e2061108b8a4b065c4ac8d8e55fb Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 19:21:29 +0530 Subject: [PATCH 3/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 30 +++++++++++++------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index d5a004834..6e267004b 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -1,5 +1,5 @@ **VEHICLE RISK PREDICTION MODEL** -GOAL +**GOAL** To build a machine learning model for predicting the risk of accident or not. @@ -23,10 +23,10 @@ To analyze various factors that could possibly lead to an accident and then trai These sample images show relationship of columns with each other(more detail in notebook 1 with EDA) **MODELS USED** -1)Decision Tree -2)Random Forest -3)ANN -4)Multivariate Logisitic Regression +1) Decision Tree +2) Random Forest +3) ANN +4) Multivariate Logisitic Regression **LIBRARIES** 1) PANDAS @@ -36,18 +36,18 @@ These sample images show relationship of columns with each other(more detail in 5) SEABORN **IMPLEMENTATION** -1)Loaded the dataset with 20 columns having 15000 entries. -2)Implementated EDA with visualisation to check for relationships between data. -3)Model was trained efficiently with different algorithms -4)50+ risk_score was considered as parameter for accident risk,whereas less than value signified no risk of accident. -4)Different notebooks with different models were used for clear and concise display of information for mentor. +1) Loaded the dataset with 20 columns having 15000 entries. +2) Implementated EDA with visualisation to check for relationships between data. +3) Model was trained efficiently with different algorithms +4) 50+ risk_score was considered as parameter for accident risk,whereas less than value signified no risk of accident. +4) Different notebooks with different models were used for clear and concise display of information for mentor. **RESULT** -1)Decision Tree calculated exceptional accuracy of 0.9996. -2)Whereas rest of the models had perfection of 1.0 -3)Reason was found to be all columns are organised so perfectly that each column has power to change result based on its patterns -for example:almost all speeding column entries having YES result provide >50 risk score. -4)Similar patterns can be observed with respect to other columns. +1) Decision Tree calculated exceptional accuracy of 0.9996. +2) Whereas rest of the models had perfection of 1.0 +3) Reason was found to be all columns are organised so perfectly that each column has power to change result based on its patterns + for example:almost all speeding column entries having YES result provide >50 risk score. +4) Similar patterns can be observed with respect to other columns. 5)Various HyperParameters and column dropping was implemented to signify no overfitting for such a perfect database. **NAME** From 607a30b4d025b8a0149c6ff29374c8f8536b582f Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 19:22:21 +0530 Subject: [PATCH 4/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index 6e267004b..d8144daf6 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -1,4 +1,6 @@ -**VEHICLE RISK PREDICTION MODEL** +**VEHICLE LIVE RISK PREDICTION MODEL** + + **GOAL** To build a machine learning model for predicting the risk of accident or not. @@ -48,7 +50,7 @@ These sample images show relationship of columns with each other(more detail in 3) Reason was found to be all columns are organised so perfectly that each column has power to change result based on its patterns for example:almost all speeding column entries having YES result provide >50 risk score. 4) Similar patterns can be observed with respect to other columns. -5)Various HyperParameters and column dropping was implemented to signify no overfitting for such a perfect database. +5) Various HyperParameters and column dropping was implemented to signify no overfitting for such a perfect database. **NAME** Keshav Arora From 45c369c397bf90f529446f2d59ddab02c92b778a Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 21:35:14 +0530 Subject: [PATCH 5/9] Add files via upload --- .../Images/boxplot_Fatigue_Level.png | Bin 0 -> 22835 bytes .../Images/boxplot_Landscape.png | Bin 0 -> 27590 bytes .../Images/boxplot_Light_Conditions.png | Bin 0 -> 24660 bytes .../Images/boxplot_Medical_Condition.png | Bin 0 -> 28233 bytes .../Images/boxplot_Road_Hazards.png | Bin 0 -> 25740 bytes .../Images/boxplot_Road_Surface_Conditions.png | Bin 0 -> 26160 bytes .../Images/boxplot_Road_Type.png | Bin 0 -> 25032 bytes .../Images/boxplot_Speeding.png | Bin 0 -> 20587 bytes .../Images/boxplot_Time_of_Day.png | Bin 0 -> 22470 bytes .../Images/boxplot_Traffic_Density.png | Bin 0 -> 21962 bytes .../Images/boxplot_Visibility.png | Bin 0 -> 21134 bytes .../Images/boxplot_Weather.png | Bin 0 -> 27592 bytes .../Images/violinplot_Fatigue_Level.png | Bin 0 -> 41630 bytes .../Images/violinplot_Landscape.png | Bin 0 -> 39150 bytes .../Images/violinplot_Light_Conditions.png | Bin 0 -> 35556 bytes .../Images/violinplot_Medical_Condition.png | Bin 0 -> 42880 bytes .../Images/violinplot_Road_Hazards.png | Bin 0 -> 34612 bytes .../violinplot_Road_Surface_Conditions.png | Bin 0 -> 47170 bytes .../Images/violinplot_Road_Type.png | Bin 0 -> 40297 bytes .../Images/violinplot_Speeding.png | Bin 0 -> 47340 bytes .../Images/violinplot_Time_of_Day.png | Bin 0 -> 55006 bytes .../Images/violinplot_Traffic_Density.png | Bin 0 -> 36314 bytes .../Images/violinplot_Visibility.png | Bin 0 -> 35478 bytes .../Images/violinplot_Weather.png | Bin 0 -> 37507 bytes 24 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Fatigue_Level.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Landscape.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Light_Conditions.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Medical_Condition.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Road_Hazards.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Road_Surface_Conditions.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Road_Type.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Speeding.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Time_of_Day.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Traffic_Density.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Visibility.png create mode 100644 Vehicle Live Risk Prediction/Images/boxplot_Weather.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Fatigue_Level.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Landscape.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Light_Conditions.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Medical_Condition.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Road_Hazards.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Road_Surface_Conditions.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Road_Type.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Speeding.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Time_of_Day.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Traffic_Density.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Visibility.png create mode 100644 Vehicle Live Risk Prediction/Images/violinplot_Weather.png diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Fatigue_Level.png b/Vehicle Live Risk Prediction/Images/boxplot_Fatigue_Level.png new file mode 100644 index 0000000000000000000000000000000000000000..694c62eca38fd4f818900e63721b14aa61df20d7 GIT binary patch literal 22835 zcmeIaXIPclwk5m`7%)%@D5!v?pd>*=$-#_(l7lEgMMRXGgM`vjOC=~06i`qy2uRMs z1d@>;AW;;_86-oGwXO1;)92iKzrKBMfBmC*p0ap0`%UXzYtAvp7<1iGQjl3kyM>lQ zp{$cVaa4suS=LRVEIqwy1wI*JE#tudM6HjVwpKN}WNmle(tvX6ytTQpnYFReh3&Qm zmR3e)rhRoNyh*;D1+w{$n}6U9rauDy89kz3NuQLL5DETcR`8abI(BwSSyIzx_TeVp7V7_HLPD02U)m`Q*3=KSxm{mR zesNo-R7L%&IfYh?`j_6fEJyaN$Sfuam6&e<%4rFeWdRuUv`YEgj9Qi`O~J zB4%CXG?Z&-Cy}sX-ImJ*Zc7a3Gj_^&a*B#-mHPAZPo5OF8&sPdY*A0XbV|!F{PUaJ z{#m9sR;;`0{N$eL?e#2TUz{rfg%xWe75Ob58)(TXC`e`RJ|DVd*@~z$saI@^I6sVb zmKtbj+?;C;@@QLdSwTY+ZQ7DG)2Fu>W0pUk)-Z!xP{N5^>ZLx$>&)IB8~l_ie`6)x z$9J3cUfjR`OWg}C)$)J?HIkFfp*q>N^PdNnQMh&QllfO2Bx+^d6YgKa6dDw?t^AR| z5lP4Ks*ZQ}>Oy7cvcJrm%6M-3Fg5apqvypvd9CB_Owai9=Ts8%W@4U)hN`EVw$#M4 zv9To>K6Qv_u&;|zue1*y`&M4_tvpcvn&3HHG)6Cff!SIVm0fdltZnHIsCf|ep~h_%OtPuu;kp4d6oU#$+iqqAXR zw3NTkU(e-3{^GpZ0po@$@zz*Pe#x2cP;Opc2}3PUR!Q#krah%e6^&9$LXyti6{m>Y zZyM0>l3*#E( z(TrD{{XWoXo6Sg1A8PTX(CB-AlDSLhg*y*czcMs1@=II>!M0TU0 z*4(VgRwu@-TY3CT!!brYQc}8X7#^)5P4DyOB6T#?%!{@JdTo>K0*B?GCjW@2}s!ac|##5Ch9);c(DxNIs8DZA^cqix3xYW5A}&|-i*d6vu1i@Cl+RhW?!i8KjvEO&4Ia>t(I+Tq8@jqZdTan z)peRHZF#vEW_)mfW7n=;>BZ?vX35=@VHt#VbGPf)mtwFEWAHU?ZPRYivBkf+O&6;e zEY)fw!RjSu+aFc0>vRg?qjq*EKOxU~_DYElS8q#pdf3Bv3mBf-r;<+A^*VO4-n47h z`1<&;>$`ue3{EI0I5;Ha#U>q(38?!-%%&O>`+#+~Qto)QeAYl(lR}^!89>~9>c!%X zlG9%wp24V!*$uu}$#zZY$nEvM>~(QxHQAiUAF%ffW)FP~IB+%PQu!8-t-^zJCh1tV zXOb^@V7fB0u?@ADYN80yBZ5~;d^*-&-)|^?BCeTysl0k-qVIr3$J?535>F6^ zQcapPn3osO?9t9p+Iif)3c+69xeVbDnL<2Mn=ei) z`8dW@D)i()Q@ZB)^UoY72jkq`*LHSx`evCPKYnXrJW{%+h|RUOHd>YX?1@FJV-9c5 zzq`vgGZwt~V%f^|-M*T-ALgdV7&mQ-V3l;dj5+r%%>i?QOGM;!LjFQlt7G3Dnw2XN z(qyydzc}(Ftx_t4!^0 zNEzc=b{}789rtz^D;IVy40i10+F8u2mGo9T?cA%SJBv>SOSMQ~Kz424USOChP&hu+ z)^=iFrPS<;%Bi<^=snnzEj#6gPHSri^|a;ZPcH2AlDNSB7;CG#D{->TH9wKJ)VM9L zg-O4xHP^|5ee5m0V$g^BFDKK_`b0ZT4jQJkWMpJ)%&*Wd^4ybVdg#z^qAqh84g;z6 zC(oS=nVzWE%Pq~a8#3+a=#XnJG7Ik7liqv*>#ZDTb53i)v+gWL$PKM6dKxfWn=l)4 z=*CIpm6IA8ewB`u5@YTUE~XhbTF&sl<(iosGQ*MbIxbVg=T(uNYmoGUN3cX|o*!FN zlV);usNwyCou^Km_@go3HQ&y-?_(T>WnsE2SD(ZcqsF9ga&whJW*MJXsHU6hs46L) za~HUTS#;c63zsnpeq&WBX~;f3r#&~*mr&Sg`B*vhxI3fv;a54xY1XwzysSh2$K128N5Q_U%i8M=+}cy1Or1^~I$> zts7fLaecLc1Tqq)9zT9uQdU-bo6RL^VSe`N`}@BJ2NFIMd4+*|T6xk9Aj)AUCG`O+kw~ zbxpER&!0cv+INKaOv;Hvha&TR6r0jaNN8$tnH@m-df+nM>911%MBFZ(M51-uM3l_( zrX!k7C$$Vxc;!jRq?4Wt*{pX>*{;_SJgCu1$*<$CP<%I;( zSIVDXi|o;F6~2g6G0|7A*x1Baq#rk38JOU6&O4PSM`DwtG=ht6fedifp=BBDl zkQQHd|2`cD1gOyx9-9`Mdf-J}mHK#{1CHaD2io%Ws*9~ohK7dT)3J}n)S{)OSfzAdi(Q+#x%tb=0StkESk0z_wq$-;G6C-m3`Ivi^%gjuzc3TaPDV%*`6s8Q zd<`wFkDp%z@@dSa@&KtOr{PyC@0lcYdw3_8>meABx#ftklT)v8;?ya1yq{b>`kt>2 zRhTFB{f)_WdCpD*S(8x%Dyq0FeatMx8MAlG{>%5%OqwE^%<^-~ipW?KyquJjWL)NoioNQBy0To>#tix%-h+rGR`1ok|mOhai00!WR{9}>mb2OR*bj8)8jjO zQi4TZnzczW>sR#JjimQ&a?Wo`F;eZH%{}+(y5+nUja$j@u^G$UjvO#+)kglDL3pUe zGQzO;VgmRG6n4?f5&Y2cc6IR1)Z27y8c1*?f%SC-yM6@PPQCo$`Gr}4x!*0VteoW> zm5ruNETq)|h%n7{jOPH06WFIOif(00ZK=`9Fn_k5P3lE@o6A`X3yao~bz6nzo(&v7 zetc8*ACJN|%0DaZ9Mx6pQ_J6T2oYEXg@L@JS8kMq@9pOa zLe>`|F#l7oQ+lOx|MLM4X2C+I^55ICzIw}7hykXzMq|+jpUJY0=F4bbYH;b&6{Puh zPfN#pY7RKhSkD7}5?I6P@O8sLV{(zxlizE&9G9K)Ca?-oz5J=;jYQ@>9G%%? z72-CC`_A7R4IMk~?6!WhPPjYJEN^7mL0(a@KEvXR&;9!$9P)nMcX{GP`Vx-Gn&Qw? zPbIVhh0Xlfhi-07PEMA0K8eDE;g?^`HS+J}JF7msJdG=Kj!7(`L>7@S8TI`7>GA7X zs*ws}*4_6v@o9G_w_Z)i{idV)HE(vX#!Gr3iVR;u&gk7u{JJl&hJ7=F$H%RMXE9n2 zt!FCt4An+IOfzkX!93brdO^z%&%)Vram1%$j&uC6X}Sa>G3%%->mHTwJwn#(NY25EoWa|)X*BRB0ehz79)AV5s;t2oZ`8|S0DlgyLVS5s z7jT{vSY21{n9(vCm|$JCy3Cpc2TvlKg@=bnyUfoR=x*m15KumJ=nx5s^7AgsD0jcC z5~GL|0F~vkJ@gF>j3uuCDYZ^-VRZA5;g&XwA{IxKZngQYt^>`P)Y=(kzyYIbb{*IG ziQeYSWOh;%$;r#tkop;+x({)szUtYL3Cv#vdI8mP}0MFX~_kIRZ&f;8A;Vr;~a1bZgeAA|!0ub0!Q? zBN}4@+~9}sGJHGj>{ATqb6levfug?qLuluS{eG)&1Xd)Gy*@XFrNOGWs;#xwlA{gsCru9yNF=@xTAR+@vK-UGP$w z($S;8R|+jIOy*xjswU+FisHRGmc<;S_7a~^f=W%bFT=(9QdIq2W088P%WLHMzG=kk zSl7jc8Q?V=q@!3oz^81x1R>Mrs9dMXnQhVWy17{kqyG7v2M(yuP7c-Ipp!b?ADXM{ z*u#N4K6U5Loh^IMxm~z$VVu;|h`wj?U7YWj>H2W&-K#`mE?`W|@UZ#BU`tb1pKW`= z5}W=8W#^gk56Dh2FJJCOc<2rFlH#5?;i82p{!Bo>@bY-~2h;*jXTA@d?QooIw(>fB z_%H+bi!7Ty?%lg(9`07uz!QH$P&J;%Da_*ebh0jwbi6a1i>L**MHJ(1v28NR>bT3p zuyNya7IE9lh3?EH<>hrXiqZo*lQ%c(DglmJBgY%P{bNH``}H*>m2vOf`DXT33rd)} zaQV&TKIx>ULSodSpOXZRc=8c&zBK4oTgahh^YcTl^$m&o6L09G?JHXrr@MkDhFllV z0#BjTpJSF3rVR7g>ONafnbVQgwD9`lkG-1O7B?S@*~E<4OGx!~eft)G0<5w&?ri;X z8k)x$86tR*Ohb;Cg!_ecVR z|NaQ&UjPcwwryh8@4H6wa|1F23NIQMJeG2vdG!AM3Hoi@jQKLZZX83I=aleP=PMpk zXwTWS{e1qVC%Ds|w29RWJRMMPR!m3fmUk6^<~%BDyi)->$?^NsSS0s!Waj{%4xo5T zj>c3#RS-1O7A2RlaTdAA6!pC!02cwmA8}(s>)VKZne$|eAtsmU>o;#m#gK`lRYtEUaULo1+NXi1jyEUT z#2m+?GBGDkVx^Veq2KK;@GhZ4%5G4*CQ)C8o{`Z2Q{n<>D?@VSWF&){!JT;KW&nr6 z0oy=SPmAt(EA+07++^N&@eiX9&u>O+B}c4YyLNx-)p{XRfKR5|Z_wS1%SYv26L(ga ze#3_I7)7Jns0Yjf7k;l43wB+|oJJXGjIxJ%lf5yqWq3nQg?c;n-AO|4LFu%bj!qaa z^6k5KkC6}?ub~V#9M7Q?w4E+wvRdCp2fq2O+mdDDAJ3XG1|IjgTZgERI5}pg$HGdX zsOg@xSV;-F?!HY_1ye%J*!YFZ{DfwBWF(0pgw^Ty1iioQ53t(@X}CB!Ng{|x)emlT z*QtPRL=66kpw7`xT|K*s@L54Y0d13XiN8SM>;}tlJnY;Nw(=De^YsxK%P2~BFk=t# zXuROGaX_fF9c*?OT>6<#EAN`aMIC`b3`7+nVS-p3Kg`ZdmtM7KCADk?LY`XZ0 zqlYHNf&RS}7B=3xeY+`$XdP}kqobn?TetQNta`~t(^AQB>M9)_T_jZzXs^{=`S~bS z8=(AOpa~qZrD_jB6-+x3MeN)y_1%?G?XVYjS{5hq2GaYor8ntBKc$;nLlrhSZxnq| z1~tN`BTC047l=A!|+3&jPZ7?G|SBl96=!?!&$ZwUKFh z)3>9Yk^3Y!Pq9(O52Y2QN!$Y|M!1Gi@K*D@pXd3{Ng|aGKwO+8q#vq|i&}nEgx1Uy z`t|EY03k)h%igMIH>j9I0S`$kVzAuuq_`a^-0J(}iSznk8uA<=&y}hw9}q4NG!m-d z<9A9UPd3bL(=wcZnysc8hiGVMx_Ti^ z;fMPK2>Q8Wpx6<~(>MAv>+c7|^*|0s{`6xf#F?_PGRbC89m4*ig^(-b!BEM2S65eK zI>iEDo<`X1>d&N}w1iEjisf99Cre3ju`(*STzx)&`PHjepUHJhWj6vg5hHYl*hFug zYE8tc+&&+6X=yzN2L~x(a=6==QWeW~<)_3PI;UXO)L z0N7Zl3R*JB-D8`*h zm4jeZKm7R(7+EvBZ4}D68{jIq0d>879z1x4{1{08YQ6QcuFu=73%u+lSi{4@x{+En zNHyPCrLS!!o?n$jAr~#+SVljJTv^%eSNCPj?}*NI!V;Bo5UG!Qhd zgYM$6JK(5zxVVbX7VarkQBm;*Ff{(#orIgU<$(wCVJC}IR#sMM_tL+vw*k@uI5#eC zZaJ{(K1~B@;v31e7FQ>UQ{1eGiZC)VVp~M6G`w}&|BkRKwUSIU#@9ar<658g+MzXV zJG(5iTatK72bn}}Qxi(mF9>j0leR?%nH|6P8`&-Q*|Bpcp#f}*3Pj&B*pWLypx;TP z-6(S!Nm~2P9`@rZuND_rIPYlHR#+USy(U~W$nbKt>nvNh{8DM;(9a^ybUSw=!Bx4K7}6U!N|5j`+( zxnv1V2~=NxM`>do|H5rzR&b*|ujPlDs^9ZBG7Nc&Zb$aM`(bbRcby3=Ur}8-_9qtA zzC3^A=I_6Ezh1*%+qSr12aUtAUZ9X@=_Dy($ibt809H0U+CpZE5-Vr-`q5fdMI%TS zgnTB%8<%QCH`tGlpqPeq456O|pg6iz_UIV`6WGUCKz2aD5RYQ&ba!Q-X*qY6jHY>0RjC|vpNN0O7ietmFz zy|$Hy)bv++XB52NVW35>be8yLEzI0cy5|MZ!4>UbFm|&m2_DE z1VFsywg{Y_o`%jm*;-jz8XGb$!uDs#hnlU7kdJC_PkNJy9WNQRj#XKqyr*9tMBpa? z;$wndLZ($$?_yL=w^a?U(2C1pRdgq%0%LEooOO|5p2 z(;XAR!;>#WqC|JRRX6uJAM7o$wNs0P5 z4e(8@v!@*FJbK9PKJi*?FR)WN0u^9V|Ks0qfg0wC4?BwVlPD0XR23!FJA{DxwfQvP zt+@RKfXd`kib_$i!#8H#<(W=uv9SH6L)vTu&KyXl~vh{to>bsAQjd95G`Nyi9T5XrzVk<*&5&m0U z*pku%hV&E5k^-}zC;4A6#1$01AoJ3t`_t6~m^_jzrIH0!yY2Xa3Fpe9J9ENjDgB53 z0V2AwaSdD+mHDs)=(qBE(U(MVf;@+_ebrxc^|i`D!~K@lcq;&@f{Iy1LvSEZ0Rc+?%}%-PGw;>QcfHJ8O|c@(tL~H`hp?N zGpi$mmVFNm@&8OnYm@}K#&e*yB4Lm)IzkQT2Mrj26(XG=i_|9QNza4j1KCka7-f`W zePFF?emLH6!uA(LL6Ool?&=n8U&}DQ59Q90HJf;=5D8IGv%1b%5L*`^o>Bf@umk*| zwA(%NSypl6khBLBXlh7>izem5JKF3o_$%wBrOqAbD%sX&oOE{Y|zS=8JoKl6mj-42dKV+8pY-cNm6I@_U0m zK^f)L!sNtB3x1sFe6(Iafz~E+~o}{I}}+ z1O>go19O4=C&opXu1X|Va{Ge>=8=%dd26s?!v+|b=0z2j<67LbWF+0P(nl zgfy(al_^6Dr~^?B>}kM@U$ zM;)F(#dr=2RN2_rICJnS*nX0r537wyVo&7Q( zDTk@xUlhqy0w`TaFTa(`mtTJU`|7`H(8@#nZ(wNL58;H+4TPfLEv<&0MD#SnVCOVE z9iI3yq)Y;bh%aIu?Bd6l=ihv_%(RB5fn1hKxr}8*MR6J!82DzC1DIW%n;Pj1pzlfm zV;qY#N~U#Np0l$;Fd52o{IrhDWHtlw@<4|o_5t>uq*A_`>ojX>v0^M+i2o=)XH@P~ zzRr6KYuR#^(1k^KrDM}*iSB(zc9fss{;0moeR%_X*dy& zt3SOUQ+F>zn=ey4o>q=}7Eb=48@jgu(Vd~Ey(`S08#Ns$5mN_u~6s20o?6HcXMl@avIVK7Dyq|7zaU zVIVWY0Yy5Ded}RcoVsl%?Pp*#HT*eXzmYeg0O6#myD5?Nz5`4^iSFBXtYrIZc|<(D*L;58c{oTD4BN zS*h2uG>NR=uV24fwh2?ze*ZPN?j^}L1rEP)4H|S;hu;I&7z!@XzUcc~>x@`28)SFdb~mQjkVXyi;uB0l(-v)gd{{{3n&0w(+b zXB1zit`PqY;+%obcCC<xBJQymSYa{PU-oL-kPOJ}=(u+B8SDC6FCMP~< z@Os0z3dC`Kc#-oa7m^H0YvJ=6ng{86xvS!d5c`jF9%mR=fi9$)Z8zk{j=J*-W)E>{ zP-oah_e36O8yH3JXCeMOe*N{3qSSO42+VN2>e!brm2kh~d~Gl*6G=_)Ao=RS@YkZ< z;Us(#-WMz_C+w!MFa|+<$t{KB$Yy@J(lt%sSMueMeK_xP1atVF0!aYH)5SthkSc{S zY{<&=@-azXp`uVyAIkOvT zQ<8B0bsqu$Za;%Y7V1IfteArId>g5dWNIhkV*`ZH=u*Oo&rcGQ*P};|tnQQONl{|P z61)HC(dmw^z(p9*2_-kV0AYKlf2j>$=+B#=Mj#TYF{oTnjolynBZ|$|;y!~JbF014Fj$?~R-mz>$akrR zbXu2esFAV8G=jXZyD zSVO~U+3MZ;{eDPK~8K$;2~x^u=VE>N5Jq0&ysTcpeTqv7$SWl z6ocdOY3YD%6U%Bh&TbB3A3~6dXm3BaM>l6GrLPq(ur5wUB`F|>&iP6acsm9~5OH^b zG|t&X*>>x??sY6vYHI7PRZh^&l_QyxkKy*%T?k)bUf|^04DLM&nJ-75`bL)Hu0jwq zur5XxvQxGO)8838b>>U}Rse@=W@e_GqGGz}1~UFT7{=RvMb?DPUKN3Nz;kI(A|?ys za4FNyp06@A5s{HR;^Ix;s5JsRtz$Ha`!FJs#uT8F8n{m*32p_4kTv{zO)4;DE?gY8 zMawJx5I7EvhsP!-Duo2VmvkgZe~@9T115=pos&$Z>OVH@9LHzHUq-rtQPe!Ne{V?mip7;do|(e^~#I>a64V-;iv z?{00xsjcAuXWUo*vj~7_4MPlh)9kV^{5``$BVfadyL~c|S01)%P8;wDTUE%_L>Osu z8IVtj;L}RCcCFgw%TXS8+@vF5{gIQC8}+k5&P26@>I+K@2izA~nX6XFw2o=-L1*|*irnKV-m{_ed;Kk4b|DXFMP6J`F<64nkY0s3LiM1MIJ&f+FX z)fwD^--BX;lNE-{YlXz^2n7D(1uv?g`#-+W_Q$<@s<4GHFfnxtvNAD6fjk8;sED{o zVW$?=?ZQB+m;!Pv>Aa=4)To*e?nN5DcxMcYLum%umE`19PM&lxFQ)upt)*))7H}NO zc|$$Jyk`%j|9L%&AFJ;9^XL1~+yX{Cd*_n-q|_uoUAmxiV9+1%T++_)zoo-a@BKeg z5nL|eb!K(?olSwMCp(nffd~yz!=TO}z|X*U7;Y_5O&S6;M=HV&D=;Mbf zzy0zf`f~2wTV+T%Jz^&Yr+11Z0}8`4&}RinydF#f&ucNujZYBp+pY!;P4QnxQT%x$ zo{$GBB(Zd|MYx^P(0g|>0Jy~L5_m72)7yyT~=Qh#jfbxxxn7RUy z7kd28ntlKe)b9ysZ2b1>(gFvF1cImsY+z!ArTRN_TcSSk?AF4#GW6&t9q$~k-ys1X z9m(^k!nH6Bh%O|9(+IU6SkiuykhEVsgi~DR9r4_m4M}jV$f~HR`Bd8DA3H5suv5PN z{#{l#7D+K?Y8ubZB`mCo*+4A@ZK)^Ge%JCV0gn0e17;9{i;bjbN>FOe7CyS5A4v%F zLN7KwQ&EcrEN~5IuI>VGiu8ve&_mlL4iZro?&P_p^4=iJ6wbR_zZm|SAG`cS?0x0Huv{^@9oK06CL^9eIa`h3aXZn*X_v;s~HEGM!sV?5x^Y^uw;sKb% zJhq8eJ4u6XNK8y*9A4Xgv5*OJM_la)`uo16n2l3h-`=l`X#!jvmd@El3G(0?T>k;> zUMRgZKfOGEW6~C!7B?3cHL0VB`AeUleFP7u5n5P?gHXOD9wQERxpLjYZXO{Qc<|U`t~Z=Ad#t@3xS&%nVEZ7V5rJ~Qz)#^V{0t>(@51u zm=GX~h7HVJ5B^4mPfpW`{yk<c5uhqWwRL+CQG1 z5Jx9a(Bql8WQp?=c*vOWGX3N>QD?ca{bN9_Fk4P3P$X}ER|Sqe`7@qk85ELbAoA}N z0#tM_zS58A(w@rnBuFlE4V`9Ui4T`=@NGj&*W z+u=z-Fv(A{9XLZ~sgyqQT{UVe6S?IftEdL0VR~{h1qD6}ElbO!$tW?3)1R3v@n0}- z#EgIwPTlzzj2Vf&_*;SE^5x5Y#NIiBpP^k9!b-925dH<95AW2}bqFV>5y6i+4pv}A zOF$8lK#xC43tDs>9r`fp=0<@{_!T@Df2LqNG^@lDE)T^c3EV(+GLx^l9z4+v|$k@DwAJw#7LbF;Rr3ZfT^ z6cdHz#Or}Obm0&eKZ{VdukeJoy8tjMX<+X>ytkC><9x8^!sQrJ~dSF=KDyQ9F8t(E)7riM~(ZHqwKLahQ z?}n(WGMQuc5^^U`riia7sUqe4&i4J#U#Ef`aaHLzf9FPsQo4PXLw3pBBhgy|DxdE> zTwK4(`_bV6-kZA_vZPuD8Swp=tIJn2@@zjryEaXn=9*d}RhDww_;;F+_}nB!z=^(#c#D&Q12_y3n2|^0G8)}TM*^usN#7JG z;W|{2xqT=9ExJ2JfKUUJcCU_Y)+?vMZd@CzM0JD$@B^w%Ldc;3A579!G(nJNUv{Ix z=FGcy?^fqHj1di3`~r1`mMnpNuOExuI}Bk&&KtJ3XMiAZD%53r{)90m^2f==4o(w% z29+C7TgR&Wz?Dxa(NqeSN+lbdl`y_|1V-Zs$(Gmm; z#1NOU#ySE~j_p!>`r?m2Rt@bD5=uKfN+tzmfr&P2ndET6GEzQ6Qi#CvbSi>@k7K^= z!T1hf5H4G_-1pFAtl`riLZ5~X<7Qaah)||n#qyRZ^x2Wyy#wiOA3^BE+*-GFhS#j& z*B$~UZ{E<0p1>OnR-OH^x4#bc`Y;`gvJ9q4W(R4>? z(*A2x=7ipc8AAgFG-=^LW41cl1QJCh$qlr7g@lN|M=i!73q53*IrxWVc)RQtNyikl z`^UVxvGOXCFtulkSL-?2T&#jNkt3C!0##mc=dxn?$;#fPLw3fJFchIW!6=k}*YrXK z#{b28dJvC~nk7xqfC42*ddeA>7>2V)EvjmCy!#MoQGu z$0c1nu6xollI2Tf7tM8lI>BHM_7VR}01jFHPu^h8b!}U50#s)*naRBJR2SVr=4Mmj zw%z!+;Ly*9{U=XVfoS(Z=D(a@ngBkJd>aF=SbKsVOhQMDW ziZ8Etl9MBG?C4RlF9j_fUAlOM!)JiRKcm+D2M=By8&WzyC2sE0K7^xKvVI%;8FH|o zfFPecps$av20m;h z(ZsUS?bOs+id+7&y@lQA6eQt!=~9u|#?^2h8A3)>10j*EU$6wd7t@tY6xTJBVY`A# zi?7XE_JPzT`420xpc2B9k~3@>qt6Bn^v*_V;a z3v<)Ngk*fuwi=h9q*ro7H9NJP~nX&ZNfh5bOQv3YfW#?#}+cnqCc!J4o(E?FGL%etjS#7qoh; zOt3NvorVxhYLPN>@@FX}Y&0xUZ%LCeY3#dF6X8J`)X+88OZHg6S=eP^xrkfODiO6f z*Cp+(;5Q9OO)A+|6JEVMZCK~izOI~mN7OJ;t8ey0`6zJ7mLS(YG9!O1zzat*Ia=3p z`Leoqko`c=^yJG9X-OV7{*SP3B%o{7Ue7qV7rKKAEN_G(N6}4o5+R)dx7M@tCby!y zEDrn;R0kW_1cKPf&L-Hjf^3fS)cLy>Y5fHK7r@?=)?`{kcF%!?dX>1}(MoHYJs`xa zUyC-U&aYp)(Pmc#$Wa@k&I9yO9Jtj@5-1;gZyc3`#txU@6Vh5+9weIF;8^Onrv^Po z2?nKpf*&sD@YlY8MVzb8pEGExKvLPa%3{tzGF4n^C8%Vh?DfJ ztfruCEA2y%dz3+8QTx7mRRJ^E&4RRA5j%-+degxC*1d)m+t6b5+4&@N-7-w6Yiab@ z9%am_8P0$D&6^Dsff>KZi6c0LT%+u z;N~98szN3rf)RECFEz%ON0V$zLeL;O8?V%>Qsxe$o+B@mG=UID1l~0A#Gawiq5MT% zvb78-029z2Uety#BjLhCzrGU-lmosR{bmhkrNQIfYkgj6>KiztZGyawLrVu}Q zumB;=c`pn}z#ANi4HFK51j4^)A^nK^9Z%1nFRzHCOnD#}R5-mG#~lP45StI_`ot@Z z!InSXVPA^8t|As}0ihN4Fn?&xX1;NUX2j9YR{40L;7{cfH;))-p^ArOvL6oQq0?j^ z6EU*&5;~d_=dq+Y;mcgNWxq(Q^U|o(q$hg;9i+sv*_w#_`RUOrx3|YS+~mFhw7iQ* zYk_eK^oKv`WO9b+PcZXS%zjXRDod8^cAW=wwtmN`$qAALfcU<3Qc8kezAm-baqYo( zv}@O5M}ejkwCV@lVM}Wv@b?p8Xdo0P2cr=*V#mXXTd6e|au=kKAcM?KSZC`-_ z0u~(I#5JOlbHi`QenPj_GCxQ7>qdsD!=7Uk11j2x#ai^ajPinnL!)*!px`doW-JBP*+JN7CZt;zF=#R?jZdPK`xMb(z4sh<(nE zR2OsgF3!~FkE10vhBS#Cxax;V^)=Z8eE3zezYjXOCnBZiWr?>0YfcUNXw5eg28eHk zR7gMyRfv1Jns)q_*h`{^Y*m70E_LibRURy@=V#DE!aMAFvBZ*0^6>&Lcm*a0M30$e zdR!D&H3;>@Bto`*A~%S3rTym$C`5}1UE)%{&(N}Z3lNZ-TpUE&yPlpO(NSh<$53Eq zv7Rc>8WOTyEBO)^$mrjG`z=7)HBV|`N}qIL4PJKBBc1g?c!s2MB6exSV3^YDksqEH zu{xbZ&Px;D(q8|QJJ@`OTG;+ayyLbA$kK#JZ4uaJfX4x9fo@E-1v1_OB~-vh9zx4c zz5hGj+mr7WNRFf%GjRlz6PfaiKHn#M(8)(^A;h%Aok}Hrl$f;f#D_STGp4{IVqW0%RuWAL zDkEHjaCW4Ut!gl)s5g&dDxzt9&k&FS=tMg9fUbJb z)zvvVr^Z)S*VZ%+@|R|e~Q$hiz<|2R1S?7#Oo%r=C|ApHu6 z772?`IbR%4*Bu<$+oKi;H?w86oR7Ap&z842j1Weiu#eKGOcjmlZYXA;zSk7dhAvc>qrk1CfaIJ0QdCmL&ux*bTD#iM;pIYooG6qsJy`-U=?c#D9Ygo@7BbFSazI zpbsYX6X#0g$Xc8;ck;-QBY?yE2(xfD-Bcab3R3;AU{%oqz_Wk0oc06~H8Gulqj)HA92*EtZkoZkgLTj$ zL5S>pW}l7?(pDpl%?)akZXvRUd~Q@#Dd|{$IMzA~mj`Jzv1xOj>?z(ItcG0~Qn3+N z3)<4r)H%g$R?oDvG)W;_;ow0xyOtgKEixzpNb4vj9HY}5Iv~vp9po%`H4UQUku-9| zA?(9}1t&rFczymt-K; g|Q(rX{5I?j5ExSVn2Tb{ITv$kG?s$#1tp5OV9?^n>}R zU8MTdqE(JTa*AxJAlosJa4x+#mki|>ScEA}l~HHH8K@;jIrJ7g<800_lt?4MO)0Y- zKK_D@wg?+G#HEIQ5Zr<~R(x*dZglV=<<6ijCZ{V57xy9~pyr0A%pTG`1js}-twd0h zBimYNMIvO7O;-q_!@f3$kx&WXasG%d^m~ZnVPwlHGzXDZpvfH;$7DY81ES-dabq3R z?>bopLqIICu?|QeU1b42?T3We0!IZc&;m(<;HD(8@1Ws$(04Qjy_k}bkqI72d+6;= zOnOA|0<|sGB&(o6yqxG>jYsjp1@e|Sg@F-3%)J*ZA?#r{-35o0q zh<1%LaEg)Em+;l}yQYkZ6VrQ8^tnM*$oed=0a{v>4Vp)eNy%X9MrQkEExuC*f ztaOO>g*>m_zimvq15I6;NQ`niE^s|tHf^R*I9W*Z$FLQdtYqi0-qE`mqo8~_J^zxs z%o+b`s{HGd|7JeqXMX#^q5T8JOAT5S&**pG4pwwuzDvsLiU)#(fGsXuKy2n C$>a0@ literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Landscape.png b/Vehicle Live Risk Prediction/Images/boxplot_Landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..260bdb6e4e82d18e7734cf73b555e9e771cb915e GIT binary patch literal 27590 zcmeFa2UL|=vn{$2GiF7=00vM50Rd4Y8c{&W!9Y-HML@|p8&SZtMG?u8gMgAV1`q)O z$r1zsc zrP9X^D^V!)?G(zKlMCnLCj+cS9QbRW`H_?6%0?H>tXl)6-yOy{2_$X24E4f7=6vIqds)(d~Hdafs>LN@0)NuA5kQ-dMKha4@GU z=ltbIN-5_hxsI&5e01(%{SQdLG zMCNft=!x|_rxWr!e~5kk`n4k2sBzG-{^8c69v&XS7Yd(@XM|p}_ZnT*vG2wpl?*iCTGKEEBJ{$+Vh7Pp=xG#9`4}e=15nwph@q zG0TCGiOK3f$w2n(bl>x?kHy7R;fg`#t&i0s%{$7t&Ll<0q^_-j*l@b5 z>Vw*9Xc@I(xh1|CYA=!~*xFWoFY)&Ew%BK+Y!R`E!Grf9Ekcu?fRl(BR2#lZ{TZ zFAiLvA8|TSpG!5;L%%9I;#1Jku9}xRRCdq8ki5I=qtsrUuFZDJZZi?J>Q%w&)F$W! z`S@&*4!bq^WQVep*uznfV2-EQ`f5nrJOIC)+ zGUdK|m)~I?iTg-v^Rr9PEn$rvr&6h~s-bW9B|D2n`&2%^y1>ZD7&0?GX~$zGEn?i{ z+?&?Ldqheq^0=2k+RQ}P@L-8#n@w-_%!I5}qeF6}dTh*t2P;$~Rip<71}28eh3yI5#LCKz-!Nh3_@WTUC||q z59-;{EqiKPEBzW*jE;V>ljk{;G_lxSGAC>pR^TgUqm;*t z(;!LO(L3A+}8TLNvei^UD6B3>0xzp%$Ba-Q=zWy5OQbrcKwDli;4E2`z`n^ zoT*5?^3cx4?CdX2vks{Zh8)|r6)*?kiDj=|z3L|+?;{+z-Z16BXua8eR)-<>S2*WKMTP{BIfP8r7P?>C`Qi!X> zc*|-{r|IE!yUse#U$%i$+OO0xaC(nk*_mAG(;^LaVA{GUM^_jNAWv~b#$0_T|2<4-bBR%E#r+A)(rgqk8I+y9VB~seA9alHfRP`Du+{!|*Cxn>QcO)6>(hj?v62jE7OCb%c8Fwi~%j&L+2WvClr5t2lrDd9bqG zgSH~CAd_!-5%^EUek_jMTx_+IM3P|xmvp3ZSn;X0GpVK_hS}4WWNBn%WT@pGDrB!_ zrv~S+J$n2&gly*f`)t+l399iIKbl2Gs79$#gK=YBFWlcCUQNI907-c9%;%Cc2|Mj9WlJX~&Koops5v zI3*znMYhBH^eZ?M^($p!Gk&6XO0hclq;rEWKB6mwQ@NbbRZFohRdR1baSg_uow|YWeUe zlU49i>85YyB6sV0_T(|gTMvAV=WQ(al=c$1P=xry5Z%`F`ueslTi$5EPW@&|az8xU z{xR^7%khq~kj&2f>Fo5@CucIg%gf8}r52@_d~@f|+aO_IqY|$0+Pt^^vq2Wlb9uPp z*7D~^+~Or>-`r#voHFtgvnf+~ak{eJw(Eso5~7xOjApvuU{}F#E|WI1^mq6a{_S!; zyN=%5z~9l)5o*|w_Pu~RcDLPV@9?v1d4Gv*d-hbB&3@MP7orwrIZQ5gxCiG|Vn5no z6{=qu`Q3kZD(pjXu|%J(zisCZ)8#DB9RKcJke{z0 zC3R~ppH{Sl!$kYcWM4G{Uq+Kx8zO=_R%W=*X|}HGW$K|kdA29Ebyt!*vL<`W-!7Mo zhM9N3DwSQ9ZT#WTTc7zf)pWGhX&{$rUe)Ayn|~J`Q^jp9&yR}p?)$n}^W%3!I+o<( z9xeJZMAI~OlrOoHrr9UTs79K`~`*^hf0yDhTMy}f0cs!^M1mmEBM#&I4`V|n7G zPX}=v%CIRzcuhM1hgP|I^vOW_1ndwa$SenA9Qjn!(1$~0=s5;1ML ztrnxvQR&$ABH6YfyT*cnBD@!QK>r~EC$MA{(WeB7W49fyRIhxgbM!8t2mI@{vvDq`+Dhuy}SHU>kl40nDHI3RHEyL zc!OwPMi5zXth74Ly-MK0dBeR8X8@W!%=O!|*@0qwhAoELKON%B=)Z;_6rPZ<+hMXN znHVVW*bj%Lv?jjA0#?%r7)>)-dXZ?LVT8ZWkJbQra%8oqhk)m16m zae4?=e`$JRm~5NOW3JYH=~M9Dj~_i!ZcmeF94+t~)ap)~NAXz?lxo)+ z=a-L!j6IhXGP%Zb-d$0QS z`AZisIXzza%B)SUq^nr-ONr!chVG5`UdiF%;qkmKfO#KUO*?v$8>{fliN?(bvBPy; z8Vf^YJ*xnjhs)(9^+>{jRUgJV_8DYcLJ;-EkIy>Nx?;-7@kTW3nC#20hWF8K*GV_; zcuov!ay1(#F&`?AVk0*CxCep>_!b$ z!xatyCFyEbmyKtu7f+olVd`2-Q4pprJaUvrLr%@nn(3Az=Isw)7VxItMp+$ReqHda zm9VE6o5AlLclUlNg`*e3XW9F27ZR%MnyF7U762 z3!Z5#b2*gvR4ld`r(@J7b@sS!Rnqy~#TPDKw5@Wmx6c3`2)ny}udS4|j}5nKWW_0M zd4Q#gR~KaAq?FCtigC8zSHx;(&uP04J49+|0SvB>)T+(=$W=jd>JjM6u>LQuFIetZ zu7jglk!E3V;@NI#>QIAKqs<8`5npnY4bwWdHP{b+JRNuTwM}ILj)Fa3$dgBpg0vmS zj{x=qPWT)=bf^+<&P1THiP>bFh85_*evQukp<$FY9{T3Z8!=B`?%RBT!U4uUxf>}{ zrOPF!0v>Ibmk|-#Z2@CDon{_knA*CwGFE3XM$q}mDyjLC`Ysj;zYg#;xN$cbyOGys&*Kgl4@AdH_H={m!MAA#3zIwB@ zqjJ6?9km9rJaJzTPC8(071+w~Fh5(FmoHxufDPo!M?%@4kGQCqm6wJcmN^e zru~UVjapU>7M{< zGi^~KKH820T|wd`?#cFq(dSno#2kb!*C@0WdRB*?@ZOD#hag56LR)6{_3PJ#&b^u2 zU|Dy?wl}qHXzbhlHqpkX{5l?hvM`Dr+qOv&5RbSP*3@(s+<-`s56K&5XGXJ! zzk3^z{8TLL8PH}BQXo}v+aU#*t!mQcQx`5==)ifXzArfw&aabaJ;$WCk{*#a0^m`F zm@|-80-Q`Hh=s+=msdZMmxwsxwl)IGybe&5OC>y@qC$m4<*j3ruCmPaG zZpQUanFHoNZah_wq}pI+;J(w-9m=81o`tPKPL`HQsjzI4gCAE=cyQrvu(V*#by_~5Z9g}8TTIUss@m$eOg+opbXP6Lul{({SoSkOz?kAL63eOiMK6CGipfK=Pq+20*2C@=9UPHY?$ zcboJo+&B8`9**48OIw6iigzGSA412+u%n23+=>?K=SZPpS~_~J~mZS6=; zo$kbFpAo!hwpttI?)badlcep8q0Q$D#f^S{|`P*tQ7 zsq$g&ym_=ws(Nw8d!O0&7Evc0q7%RU7Q6%gB(?ih;c4^dx=R|@^Wk|r&kI#f;fd-TTF5nI> zTI{1xJWg)7{)?bBUIKP^KYxL^)8PY1z}BqDkyt}XS;PMh)Na625J4Z!w!FV4Hs10G z$s(8EH3}u^4J%k)=ksvqsuzCyZH>rsN>kZ8@-uv0cBc2CeG^A_D@FT!yQo=OF!@RPvwSmg zJm*Et4b@_`UI4;bC%(|m)&eW52E@HHaprkR zVUzZ96TU_M3%U;^v)wyz^dX-7h`{0Z9p(aS*5vHdIin&lckW!y9Xq7Kp_T|<>8^Qs z!;GS$rmzMc`1qdFxi>3GY1<*z?Tq`z*VkvRXIM z5mZcYDxg9%zRue-lB4AO{NR4RZSak1hyg=y82DO59e%WYcqVYcRm-}09*!WVh{$PR zy3*Iz7l;oo*(jnyvX3v0lUE$Tcn~*0LTGDC%bMy!azV6;-Duz+y57^4819$*CcjR;HNf5L148Ybl{+ z-6mU6`iTHZu6d<4;S+F^p~Vg?*%G>j`QV)*;k6=xiT#q`ObIuS-1hj5iD^0b)L@9U(MkP?wRUZ~{WM$sYg z8`j_HC;{wX>@HkwQ`!g09GUj1B1WvwnFDG}#u38UTTs4VQ?o6))DU;&kkOZ3@YDfo|@)^V=B0rBTg0=bB&@39+id>q)X?5M6e|&ETj3Fu6gb zgWmc?(7>tBS7jA!ZPU`M`eJ~6qh#q^HE{)%SS|6`B!CGeWE?MlZRIkGRX&OrFJ{@G< z8OQ1J_M8QaM5|@G5LjvZu)8dRQs8&K3Ii8vZw;V#X4{o_sk0(tUXtWwcRUA|d#VO6 z2Rr*oO{qX&{qq)!=E=y)l5z(MbQN$^$UFk=!{7&w!56F8+uQT2&!af^^$QA8#;$^` zB#vVH_V-cZ+qWNOVPPpKDoO|!2pGfBX?-3_PdRG^*GrLHv3`9N9?Jl!rPgNgUAq+E zrBp9pj=ovR_~I!0<5y|7%bBIO&&)QyrgrZ(Y)%Q5R%24Ufnr)9NP>0*@?yaka4C_B zLAU0q!cawNS8YOh@p4VvoI2UE{t>~)R27+Jb@c~Z6uf4g7+xL_|B_7Q8Knk~O9Ntj z>Z7ORgj_`d*>MZN`<**?{8oH57WR1hG#swtlm?4}{rU6f&A|fNBoYogV>yMwF$b0C zsbeL6;*2aTJES8|zI?uF^=h(Bjz~*}d?h`it5fh|GwMff9!UX*e-(3@U{Nza$0S^ zE`6ldfRUN`k_8KE9y5@Jw9@|l&R1?x+ge&kBAb-9L}L?)d=yF@!;&Qls{0qX&H?>O zeh~LZX+CF#Rm-{R!c${!Lw2(B>XP3!y;)KE&_z8a3>Da6CU8bYbkF~t@EocF3>gfq8(`D{W#}+S1N^>pu zc$G$bH|MG)Cjaw-0%I>Bit~$&p6o1cQT@x`zkpc5RY6YfUM0uayeE&GaBe7YWMySIYhm7Cnj8T)TE5q+jOSzTM^1d`EZK zM_i&3RptZEr{gu9VLA^DusCzgJ*@v%?)Wbfh<;Hp@SVt<%F4@M@Zv80H`9Q{SJPAv zA0NU65obgUg9?PP=qFl12q`Eoe!_l1SCS_xL}K7=^-n?vK5$A-R&P4+>?c zPd}5NKw+S>EX0jn4`>xNV2O@u^=S&lIFKwrK>ofB_qMP|^qPyXJXuEJP~vj2<0QiP+tXZepE zpnI+6*?i7j@!n)G`;J|k^3~qv%csd-YEJWv=EVw!kENodOwix!-lJ z!k+HCmGWP!bJFhmfL%uFokCnW$b-u0Qz+^UdmszYW&JzY$`ieg9OEX2x#sJ=cI#0| z$sn`;4Fj|XkG9GCMeF+6NYThyKXAzg1s*#HgX96b1DTIdbzs4A)`U1ya*3SWuL1^p zUYWMaSag&f+55#hhYNV!8`;#A%IwdJFI?jyilDaOTr?X}z z3=rH-P!j;2dg@b^H;P&giGlk#3?x1>CaH~3+mu|lV4lF7nyO#o9!xYs# z>2nq=Y~S-Ef9w5Apsv!sx^k~!W)8=By2~c1W%b1-jGgezKY{A|BS((x5EK+_l(@f9 zG!$Uirk73FIN)|9j?#V;5II2BRes`j#07xjD(Emjt-03O?J({fS2~LG|4h^>hH#Dq zbWYAJ=&1{PjcRz~v2GJpQOt_3=xix(|Q zZQtCR>La)P+@d2~92`eJfBsAj2C4}O4b?|wdae4rrt>RHue3niQWbPxB2u(BEMU*VXbpu_46p@Mye0$#oEk?Pjx@JgU)})+r=y65tIM%_N z-@IMn#M4~|P@PZ%U?NN;bR-dgxoeSmAai?y;)c7syI2qSHBv+Z`v!4}YxXXR!~twB z;F6ZS*uV|&&A|=nRwPv<`kCDqi{vu}4tWPnyA60)VW>hp zQB+i1Ct)xAejPo>&$OH3$O&l5HOfZskC>#H<&gzIZW4LSw>(DhY(Jcl$K56*bvA6Oi>{_ivBX(i}- z9zT70$>azYcs}j67{kgVR&JHzSc3cvD>1lkg80i_2UFIGn-4fUcIh}abW^FPu1 ze=kvqyZFCAo(uYd5^(81r8oileEG6hOaJIB^ql_T+m1jkxg2MeAVUG?L4uecJUDB? za`R89&3RQMXZC8qh+JKV0lXz|#puD52E*w#$yr6v^D3doS)i3Lq6TmGvp$I8)ver0 zS`s9)cqD-7e0_?^GYGE;dP(n1D=hzl;D^|tN;1bdkpN?4hfrckbQHFl+Bk03Lak2z zsK+i5p!hW$+K$_)uDzv_S*tZ`7q;KD9{jj>xN&wyos?)%rR>r(LcxPj1q|Hu#dqH} zb5hSK$%Q>?Rwt-=O|I4RxVT;ZBMWxD%Ul7mh6^IW$$J5qnr%CzkOkb3}0Nruf}g3aJXqOm!haOq)X z>(7T>h=+ZSimfdQv_oJZ!OdSPddg3b8#H@|fX-fb{va2naLlzUE%^$C$~sBM4AgUC zQA;`Vlg1C2tFwIK6v`JJs2?ek3@n8978&6=wwr5{jbc%$IHgI{@=Y9&*CD*A!)M?{ z{VQ*!Fg;felUpaG??D7=fK@7>Jx887V$sf!B!j}M`pYTD>)wY`u1wHV-sdY9RXE4^ zAz1{3VRmW6;SYizn~ir(!M!0w{UfAdXtqp$!HY+4dd^Ja)N336!l_q-kB*L|?&Ri{ zjfjX4$U7#IC;957FQ9G)HoEa`y7TADB=*DJE6m-7AWsL89C@NBsl9KX!yVK0nlt5y*GB+;zCWh_< ze23vB!E6y)Rxkg-X2_%AW5D70q9hdp;lbF@_{`Y1<>COIM2Slj%!GJBWmy62A&2jT zg*o`}2^3nRpcRS4CfGs_Wl^cBKAr%ls9=g98xj&S9xVy&Ft29XG3wf#C!69QJu;!j zzd@203CY3fbjug&$CfWyqCyDC_3I7JSx|V_(q*myZC(vyKs9!keBJfs65*&=wnGtk zU!HyfatjhCzzymTe9etS5rC*WQS2=iEFtfKIFm4iP%(T0=Ux$bXaSK2Ha9m*MBxB= zAgBf9-?}I2D|ah|X)D|=YUUB@v0CFvf*Bk8jfim@Wlx8KP;b-AhCL?&wEIg`2TMOv z0ntm!@+4AfX!wxwIZ=w1MP#-SiAnpXpvo6#_EyGfYoml$1=Znht6mNNDspPlZQ zFeu`(5CiMl)PjB!BzmW?5~3#&GN?LEj2TrvLWF06dGYHwlWbUtTO;x&c_LRloox65 zDQ-($8!XKnqAWrOQ>M=RM~2Foj~w}}QtqV>HXlOSQ$*A3qY&x^6VQ<0qjrizSS#TW z16k7vzU--2x0bWTyl1te$((L2VR;Tt{dWlyJCY0=ab7O2$eh*Jj{68JBF`As^Tp@J zJt^;~0N=a&Xa3^xZS?A@YtCA?CwtT7K}3_}BfT$+Tbk&pzu2^GEcu{lp9^Uf#P82` zox8?P)TE?RG5n*DFUqR#i{E&$SW-T-a?^kmN)m)W6CYi^LAYs9d={U^>G-cyUE=V5 z$py*vrfyJLJlW#p2LXFK)Ja47U{C#spjcW7a&=m!M08TRepuPI&ryCvjSj$mM1>z0 zq~xdz&(B-|+ypGC>NkRDtcUU+Rt2C0M)WzV2S9p6gBLfm&h_5CD%8Qn%kM*j3UAf* z%phh!kB3~w`RkGWeD6@Pj)nTRO>Y*;baN;hCWlf1r$Qkcky^d&cfS^dPDP1(Y#ylmm9p&aUjWB z^;Mh>=f=$eOk1!fgr&wQ%B;2Ou0h8@BVU%cVVd;b26N@BEVPcY*d?)EnaM zH;=(Ipm`31Xi> zwgfOWkxX`Kd{BHe8D%I^iUZe80xNn3!jbEoQez`e8t~h>+jexMu0a&Zypnr*Mo44uxDEmSr2tCh4e=XIyoOb}^t(hEm9w2tN6QiWeamz}_ZasjCunfQlad z4Dm7h$xHX&dBfj6j~P)ITND5l5UM7ZCWbn=(9fVd;j_7l@(8Ga^#_Lx|m3fhZOn3tGHx?%D0LQZ*M&tM#$9RdPnW|CXB9L$~` zIb-sK#?EpcSlBM{X3;lt7ZfHMvi^tUYjh>4XdrjOm!#DG(Uo$mXje#Ko;!3f8a2Kg zJqQ*@r!t{n#qGRc{vEmC*X-=--;~OGbU?7e;WP`+LGi7bh7|wkPCWjnmc5_QzK=U{23%PiT2~B4K{7Q z@XdZUD2#vq%8L{qA3JAd>EI_s`8i=9pYk6c{=-P*=Ml}1< zN)U$(LmwRlUFQU}PH-w)-MHsc*5sjzwR!XFw&{r?84#9jn?x;|1lLnzO@Hx&rti0oqBaC7ehweGVIkj01>7;!J3i`vaVkmtX z*6A8ApvCGE zR)I)Ez$ZqbXNW4d)PZgHr3ZgNc;HUbGlBM;Ry{Tm^GgFvG~Sc*<-+#yljuqynrhfP zbPWB`gI^#p{PP9{A!)5mH47uX3J`Uz750DI+;rH4b_3u7$Og7ej(UNqat+!*ewxFv zDW`MJ)F=2Aq2KaXKong^NCkXx%*F8|8w?r*0WUaGHA){x)ik|VC+P|^VG`P1%E8e%8~2N^pl zZa0z;zKXmvC&bxV%h^j%_w?_^4!1>q@&EN^(G{d?kwVEYWZvpoc)@~YTqKh>y^2#B zOA6`$a*!q;8o_lLLKkunI|UY#zPKn^P6ZSVATJ})tC;1Fnj1|zQlsIm&&YTwD6keq zyN?ms^c!AP?)tGoC!zbkIMG5e-5@;1S+lFlT&~UOUVV*2w9<5bGHP2nH%Xfy`T9>a zPIVQ?9znIDvr|Fdn_mj`bI@^-L_3R~%4ztIDn^HJdv47nM& zNl2%R&7o_!*qc4;*kJwbF7eXplhD2;LeFi{UGu4YE#wpUw*j)AT+MCd4LR?xp(S~? zjcB?7?oqmWs9TFu#~}@(P^$-jpp?Bct^{zm0}5{%4c)JpNZv}(-V#vv4uN&J>H2d0 z4^$4+YvvWV84G9huGjgI;A{AkG>3nkL(}a`j7mwp@kk$(ZYH2 zh1VS3zrcAFK2!%7bug_DWq33XgBzCZq}|V&jWNIL2>(*$#I63PhWTIDqiD72|CWmw z`=PQ^nQ3Pg5*Btwvw*|R;wRNYq4+F-?`>)M4HOO`h!LaJJk39x1KS|OMVRBZ&3~mF zPHTJ$aUt)HAasFG5J*hW!UfD*(H+7mB&3R3?OJuqj>OGN2XX)zjQy09 zlstTWd8APjS3}7=mobpNiQPn4bW}QudrUHKN?V-nK-p~e{1~1Zy?wCLfMbwx@4yD+ zF(XZp0>?v|aKV=6R=)OMS!$vdQvE}A6Yl0g;jjIe>5eZcI2X22x}W=J71-H~w5gyw z3o1J6M5rn_p`7>f@>;8UiwY4${@V_7P(mM}<}m(ib$G41hh%ycN#Wd>{!v-;x^X2` z7U;I8iFte;gEV%yi~HfU`APMMg3@cPEAF?{Sn{)$n`86$RTd{&)gL=k@gFwsp!Co2 z4bFpT>;2QN`M4~Uc>Oa*8`FWA28Uy0!NPgqf4Rznfc3w348*3N)VZzN!Gk2lby zD6Al7(s?PsH`JM@A+tgiRl8ylWyX1PFLvV>hM7A4*U|^Yc{w6~&i%hFeNe_0;-pL+ z`qaa8iF6g`7UPp=N;>Yf)`UOZLj6@`GV7d$ zm;?1DWc8few&l^Vu`!^n^T(y~e7Y8k;^=hTL*;x=pPh^^k>Gamb>xTX=h)DMWIz3h zl;6MP9?B*rCb`X2lp?yoR4}H{%OgkkHYEjlqMv&b(QK=>;r_&$I)a|knAhI z2J1g_A70~kRoF8@U6MEnZ$P1jv|>c_E~Ut149sqLu5>kocWfY!+1J>=|J;!yTZK1` zJ$D=u_cPN7%6``S*40^-fwn0i zOo)WJf0K;KwhWBmo;=QUFiytl0z(k6qEuu*9p8=T~&6TE{gb)KV zeR)j!(AEUuO9otAEcS_j)-R4`Z(OhxC8eSpBod?w$a7?*r9YvOm{v&jSOMe% z8XFNJ4P2>ewxfe|*&pz2Pzt1Fs4oF-WF$oOQi^f2)O}W-%a zT>Kb1e>rP3#K~O{b`=Zu6d5Rg*IK?$65ZGpc)uI%CZf@bgkFh${WD;j22`c$_=2hfe;2=xE1A=5D)X9nF_7)C$b!F-MGPt z2Jx=>6k#U_Id}H&qO}-2>xNswlVp=I0#MU)q7%kU!-kC4ShtP~#Q8sJ zf8$bYDV(1{#D(0xecS$!E#87Gn;Y^i1&^PC5&JSvekmmVgVNeZc7Tz2ek;Yln5gyH znv@PguYmPAMVrSGJAxc966ql|7^GPzICe~w|Jfc zdNxw}(YCc}h@&!#9eV*@#N62=zr-htZQ8US3`0DrB`YWq3@W@FE2T_$c6=~O-Y7(v zl72RiiV4zCLFYmQX zCyGFnp>lI`8J*72O7X>vda5g)L=_aq zBR{dFn|}YN+jsA(Vhlziib!JRq{)!T1{D}7+E6*>u();}U79}FdViti#Orw!nN>RO zC}rKZ4+A{=!2EW3urnK?6~`Y!JFd>=N)+w7A$pI1=BZV*2UPrNjIRJpaZBZ*WFdIS z2m?2ji+iCPP@=1lt;M|fW%ZM?V+G^0P77pSmCI2dDK)uVRa2*<{6Hbyy9vcAyI zxLfVQ-ZUL0eU(u$X$4W3pE99e7JTOjBONkglC?DH7B6Yn{j#9R|L6X*eJCg>L+@i> zR;7EOC5KprGLM|_J34pj?HPSpXVHJ@uva z=^)Q+^+!a7kTfTkXcT;2)8Oq1B1=^w2saHybPnmhjKO=@`dmgbmFCJRCW;3;n4pUH zY);YmoAj?DG!yxQ1fZw0AU++q3X!m4`!tJ=D|`2($U;)?lbYk~Z!F@wj{p1(@YSSs z;m2D}1)|LixD99myfc>3h)U&HLN?m*{iivBYn%t)(=hA5ovzD;Z(mV-Btfq1Us)&~ z+Q8(_FM{40cKEV)VTa0CSOMm?{xxa)lk`n7*xshQr(=3-LjC-`%p-~gxPtmGA0>M| zw&bRwivI_DR)6n5PG(2N#ECzt)t2St8b7VK+QYl(?^>-Aj@`=~7P^-?kK*y0J*y|W zvc!i<50P3c@;tE~D2$0A`8kZ7a%{=j$K89``Hcx_&Z9K_vWI5IVvZeu7VlHCAlY8C zgIqGlHfu`kiEFQ*SIM{E%edpc2aIYHB48jq(YUoO0YS%1x={(M8XRtW`A+wh>c3?d zIoUsTr~O<1UjCx7^Ou4Djr`?zuf_5g`AgfFL%@wD0RvBF-Vi(pW&f7-H7o6CLa;yS z&i@b3l_M&qHDIjSJ1~A}tvW$lIWnnUoAz$av7I|4TZFDD4r#>mhxkFN&Q}_55q^pxB|hpK?^Pj?S)>k2Hd!?EEs#-EHm4mCc^(UsG@V`#W)&DVvRP zZS`7XUNr3o<S+|B)8AZ#y|BkNbM*>j@xOb z2uCMpAl7dK;6Qi0@1V|@52x1U`_9z6&iBrL0tAH+S}YljKqu8oLWY`EOFhHJ2iu@D zS>trTGw#|K2DIW=In4~RMHQyAGbV@&i-*^vn_~h9$t_!WeZe$a769_#@%6wJuv0X( zo{1LHytLmQUEZXB$iG_0D$K|Qgg>SfoggO({qFtqhW8qM5lhmRcry}y$#*=P4HL(} zTV4X$4xsj=3hIPC$SVM2i_1jLiq8>o{fPGNSVTta2H<6rFVh=PVp|yb)(cbFP|M;_ zbL_hbuY|p??<`YrMhO*jpFX2kAPD`cwn&3WAy?kJu(b@urI142^rANf#qvN_3>)t# zDYY89;Fr8o~e#ysqqet*+zFGy~#5CEJaDD0v14y;OT6$|hUosg2I8+&QW+j?H z56;SCESnxtOyj^odi4MT{%2X2KMRm2hfYWhb+a|dpNfi#wpicfC`sL*^q>nZlPYMM zMpf!NZ4yl+WC}+VGzSdeQpwm0d~!+o9@qwi9GcjVkpzN<(3hjK%j^{t?I zcB}38e82iD)QNdUq`4B3->pg50;0+AyD|Y|^1xIII{NwH!1SoN5$H2q zZ&qR>UhQSaU56ojn-AT(1eG$G69?(^W7Ot{pJJ^wEk9qt;UyAH)Q%o7Xu3ZsXjn#W zjm#cE*$Bfx{B^TX4WV`(I`>H%15py` z9{z~gd=?n`6oq*_=>99so*CvNqaXYvvSw%OP?S~!^^9K-p;00x?v)I|+}bfUg*2g& zdLN$Fnr9HjX=3p33aU580Sp*H4!q+@E8XPgfVWCS=4P1EJfF-+BYJ$y zfw(}rOxNu-^r^OoR!0q^55UcmA!zzYO32_fGA7{?v>y}5b1@i%m&|>j24gGR$%sLy zvf<0N!RZ{wPCVk5A~WVNxM)vo=2J3*D7QayN*VKZJRmDhZgf0@ z5tr(y&srdP?n0*Y!D@zl5NdhBdH3035n)Kx))s@z#LDIU#3JBGBT>~OstAH`p}_Gz zw83>hu7FWJK{pwgFh!yJa}XIPp`GoxR_*&4qL?W15)>cREqeN}Ou_%M2BeqNXH}w44y8FIM<0{VVR~?L+j^I2&^;>lg}XD z+hXGrp%ozIbD{+Kf@*ub1Ze|SO*7ZSJ7kE%CUf3!1Z6}R&A~NAl4%*)Q$O6uNFz8E zpK61bQKhA&_DAIa+=#3X{fuQ~?g}364DmsrLW*m((Pv2jG!fIIc3DR1`Z)5^)ZGpf z=A_FUzlgzEjYe`r@{!!av=-l<$rUpt#3IS~6Ob#|UD7FH*;^k0QspEF4n-I=84g*J z#0~W`9to*UDL!WirBW_oVTf1Gy`2v<8IFoGS#&~Qkp^ip4zt=!Vz5Y%lvN-o2qNN8 zGDnKN1Ji0M;ZrgkDY+bZl-vL^EDg$RGMd6{5(=R!tajb}%E^YB-z?L`2eU9jCKQ$F zZD_M();SKl`6xLvusn9g&-&}4a%jV1lOVKNFMSdB4_ZPw!txB zDxE!4ep1wN)b_;(?J;jeinD5F^PElGcsV0 zJTxY1zDEr)pG@TdwOOJA(Uu{mi0VUvd)fWNq|;^hQOgfcl?z268Q36foKrs1|8}`I z5z_QBCEOJy6K0BDB!79zCC(9cHGuZrDilx_T%TQS<-<@==tv;T?K&!p~J8_fg@4)F)B7o-<_Y#DJgm; z#NFr!yl|m6Ytk?_i6}uaz`#0d@LgWsGq?fUkMU45Vn89zAX9&V0u{|-xnw#o48pf< z4^9RArZmprk6Je-L_UDE9mpfgVXK0%G>hfS8asHQz+<4EBMG~4N)Td|Nn1Dg zE22`YO}8={$WV}63!avY1=GuhDkQT?5&J#_!6bTvkJ9EakvR<@ZB;>L>Yl8EpX{xa zhZsTJNgXkTnsMumHrEe3J|9C|9)mO?mC~C1R_Mt`9L_T%|J1&aa$m=6GTaPv9zpn$ zvA!f=lFscuZ6ALTGv8>yF9VPKafFWa1SsE#_J$e^M#)xAPDM!tQxM3}zF6Y-0zc~{ z6N*s{7B9!R7j<7@lY<~l{gTKqAK(FCACcHL=%fZk^2o5WwuByQ42dK&=ZNYFYw`)b zUr%(?%|pwRm31X(4jPb+$RWstBZ;vl`oepsGEc%&DPc+@iX(&*gLkyBof&T%Eb@de zMof)@9M#p`T?H?}9a9HS-$OKmcG9o423VJLWxU))&3mV@E&{+kJ%NAxdM24|kLdLf>`-c_f)EpoYdxrWN8wD>9Vru2kvnP#7 zV#(skJexLcDp9DLx^>Dwt0%uFKJLnU#1gU_q)!${LJ4MyL33UQT`v0fq!JVYs7G4B zh|G!1BM^sU$AkqNzxSUt;eLpQl^fB3=;11|5%4gm7(=fx%Z>B`LXxR~_X=SY_Ca}l zi=@_?VCmIY8q!qVnE0v?q$0@_1NiW2jE<6I%Q`sQ`g5BbkRzy|{S4wgG9kNhFsp@i z(jWN~6x#?t5@la=-G+f#I*Et@vuw8{*S)aoP2Ju&sO;mo>LbH=@l9EJyV7$JWIh1~ zWb{v5Bg5Bjy10<2K2IVB^e0i^5;YcnVAEi_*BW+(lYpMT=&Z?JQH+X`AyI=p0!HAM zneBOvJ0|5#R|`ifp4^3_$=G&Y5g zKsCr6Y6x*2;+PUW6Uip91BMpT z5>^BRq5n?AaViD7oDmAsmBrkmGK>l7(G$gtN5aj+CrVR^v4J1A^%d(l$jk51xMv!! zvy7w*2Qc*-(qn)IwX0hdijM+jl8H0~tsz8}!#^j&5Zro`Q(AB3)YR0(&!qIDH-b1Y zGQ0)K+hD~1wbs1ugRt~KgiFoX%#mj#@DtqB=3qF-$2;DE?adAh0Z%0}f|10j;wTYO z7iLy?vOs54RRQ}4hV-E~_8pWD4JO@3>7)5g8 zba3sFjO|T!&<0K5HA5Jz^|)sBmihDNV;1BI^qDC8ePSh(ZV2?l%#M>}2;CmT`f#+} z$dWl8&UEzb(!lX5$a@IHy7Kwe5j3o126R#1V=-V%L~M)2*ouRMg(G@!D0a&s){O>w zd(*Y#2h(|kN84|A_mV*>?ZD@>gbq!oFci1W>S8#=*3b0m$QK$g91haIwj;y);07|m zZNek_4`IQ&fQOXL&4)PbKBPaV#r#ju^Cv*7L_!v!?#PCLn`{sDHdF#6s>BEtxLO(X z@vB1jg$yy2s0i8xQs}0ZA322 z9wChn%O%DFFnlh`*_ndLPwj~IG;)A6j^NhRfs^npdq>4UAPjtXgZEQEKdlXX)dEN# zfe~VdkQb2=K4c~UX+uGniU4-HDUpRNTf}xKoQSW<%`X@0cP1DI2*jB*d!R+hFDB!M zjQI3Wxh;g+ZWA1jtueJs1xrOV2x!bu-`i*(j}bGfO*zJo)gjq&5}Sw z{<^lX0@6Cw0D&%sSl=TbL542^RmhuU2FuDFK74~r`$izj>r&FNuJHbjp25tJb+F!CezE3|3VYB2bbPV{XhNlr6YBD#n>e>PJRr z&Q7&SlITnRp9p?teQVe`Igeo!b~W5>Bz$Zn+-B}e;j@R9nSFn)4U%*_k($Frx9(fH z3EZtCsb`GU02jQ#87Cd4AeqF%%)~*c8n4Af5c_CEDWJ?)JpEx|$d}vP|CrOD`%^#u zU;V#BWWrH4j)WAKHVUqIC6O7O-+vONx|_5)8NZ85cJ4tt5u*Ek!Uy5(lR%HjH~E4N zIP`>`Lialv_(P^I!-r;CcGom}Z3n_dPo_HIk1+WNh06lwZ^L3_jxT9*C&dZ$$CBs{ zmn~k7Bs&l_9+_Wc8*0z?UxbSNCCTDHgc<@oTLNZ9#jYbgb0paX--4C|Qi>*(dw(8T z2)K!kisJT5tWVlU$mDhhAWJgXwpxt%I%Ez}nEXdOl|b7uFvEO7aiAMW$xAV(Fc84{ zG>IDotCkG?J=rmMV~iAMNnMznjw>~B2T;()RPe;&^gQ5K1NcfAdHHH!PIJttw+;;p z35mc&LxR|d<0Y9qY_kj@+aXPi%nE@Olyt!g+Q>XXz*N1Nsqve|lbB3Po4yU`!0uZs z+5jaZanAVgRCZ7sT4jVHz(_6`D)P8U5^#ujWA8u<7?}z5Y|j-MD}m%eAGHbMAmNY2 zN&w}AP}!G9F;_IKT3O+4qy6Ar4BFfwO?)xgN<4}TTD(e0I|`BxJxtN^b3}P=H&~Eq zpxm~h49En2BaNkyA@?E}mSTKs0ubIt)aya1dVr+G#u7S1S_vLyyN|3A4jh@&D_sUi zoT&4D87T=0isM|sdkuDPHiCqL^pg?76vr7$UjdfQh&T{3BpIk70-3a?%H7lwuP#^a z7zLOXBo^C9Wf`339AjC6t#NmmNIQxviZT18FhdzD3K{T@U^1Sl|N z7JhZ8nv=W^)AsxZ4d^HV!CL~zXA*dU%^>nRV5Jvu{63?`ePB5wNlyW$p^9C>VpRY* zWqki1&7HqXLQx#WlOTs^4kB>5WK9hbydZ_dhPN0b8B|0#Il0&pQADG)B(>)9(8{u{ zET}?O2Ju{ZVn;VH=v8I;36U0C zuRI{1;$Ht;6*hhc3~Z_Hrs$9phOt#d(TS6&&L%H8J5BMY$TcW=uQ!c~==_4)X;-Mt zQU?S5^7UYTdE)JsGImNCL+)i{%`75A*(M&=xYz?O4H*!b6EI2@Ow0`#<%wpbdvb`_ z5*$X@A99$~6-l9GTtGKN<2`P7=NFg*9&4wdCYsq2q3<)ck`6;}9PXAQv2pNQMuVy1 zGU5Lq1f_Pk8V#gcf$CBG_g$w4(d|U+JPZni0Px|*cT8Z;?|G$R!a zR+?5c(LASF^Lt*4z3+P;_kNz|o1XXm-tYK24trN?^#cc?Fp ziacv>iPb$7lqS~ znU>;=ZWlwwq_ciQn@iucOKzjLc~CTNheGj+D$?O%en(L)n?t@yp3f@9{Kanhy)5LL zR}1*D82GB8%>VJ$wP9iN$S+RLqjinBp1Ev!WmDrr zGR6;fpD%xVZMj3!+iQBEhW@85_XMU5wid@*)@Qi1+&SbI6cl7Kerf7N34Jv1fsE_u znQvcSXMFWu+hQ%j!NCz(op{2c<=q`AhptM8Tv^KcS+_)3T2yJ4^HAkuwM~K1v6YpY zAh3_BfNu|fRjC4(mFbtoc z`y}kpS*}p~;=G2>%I&OjPO_Cx^iMnxx2nD=-q68W`^^0AW~HFW`}bELOVq8h7{?W3 z?l1pL$AW1_DXw@ZX?HMQJ4s7VFL?L)&yiev93Q)l4~DeL&Q94Kd!qM=c4KyCEO*6< z6;TB@*IK;!Z6S6ff>2j%;>)}`CA{`xEbi;+2A4|nBr zQLf+5`>J|{bw$=_FtxltclOEBO$Uhqt=OtrwphF_Y@oStn~aP;t;IIIGVa*6>96db zW$*89k)a<^QaX0{@b571R>w>}{g86~r>7LAzc>4Kl}Gu^oj31Ts;Sb=b&~4sA08Hq zHD8>^B6_B5Jyzq0hlj`6x|dIznwtFX+}Y4MDB2z*W}!&K2DJpfc~CoCS7&gcKEpwn zZU5|azvpw?Rz-SuUt_MEO6Ymzlm|^7O>Y-2Uc38fRlK%#{`D0Olf7x(0fruTj8+Fp z*qribNZ7Xg&h7MN&aqf^h1aiNuaUBU%xJu9v|7q_G-0LS@h|TmG6LtrQYwn>Z4*0J zlPuUOt$`nprCI9Jr+GZS@133)(RhBg3YK1(Vsd2r@#I(Cl7XS^*u(@ZM!fPvsW`p# zlnlq-xNO%km+clo(a}l|qJRJWSIKoto?F)IZqt5JLTm04=v%%;xiXb5yNw!Wn48m{ zZN@!uyPjjL?#0MaZ=*9fJ-RQg!`FygCU|*Ko}c-+v3SGA-09H=-0s6_SFT<<{10zX%L#rGQ-C8%WCfDV<>%oKG2Cltg_4XA?gJWab*p8|!XS>o6 znaQA}*$Nf8PVcprs*|I=4#OQErA-u%9MNbkx_9j9sr++1;%s@{GqB6bs3WV$+Rm9X zhiqfC^24s@B{<>^-HB;i*RPkqxAmBMnq~bn=ONQ16XBQ+tHvDtu{t|n{At_xl_2vV zm-dGj$jXjSPR8p#Kbz4W;!2*NrBh~(y!k6`dkX()%d`^#Li#lGASrBSgWHhOLm5}C zc`QqY1)E`p>2_u?jM<7v>fK7*y*n%*NXjA3v8N_{NA8sRlB@eYCuOtyJ`oO73=x3t;yT(B*lgFA zGih0Wq0xQK?sNBZW@lV)t`%3N4Z~e1(so-lBoOC7j<|tKCm*$F$nOh`|A=~s8Cy?% zrZ$(9y=tQF^Wo|fRY;hnq38a)}cR=J6E z*~yZj3->BQhO*9eYflUo@3`mZ7pZOFtbmoNd}dx@kLNY-Z^$N*f|q)kg}r*Tw^qz~ z@H7sZ>K5hTGW>YY-{0T3Pu6|nF_tb!+$to)zO!kh22rUh!@)w#szHxdnR&q~z1~vk z!EPmo?&_+i#)Y_c^f}*jx)0WlO2aBSm9~;ocWwEWuKZPonuWKx90r;criUw37<&B^ zBi&@>V~q=M>1H|Egp3_%bm>kc_uFbOHBw{j8>^q`2>YiyeqxvXF7GQn_&Xw5B!W{M z?rCDYJ#-|GUCzm0C(G$6>?Y$v{}W%ind6pg8^OucpK8t_TZE>;xPh(L#E#0R1ApQ7(1HVb0e)kXhG)%j}@3aTPtO1=% z*6pSFYVY(5{RS1HN<&CFMEC-6U~EHVeY0{bO{1~JGAcbP}&%N33oiyRyuSed%W#IG_PG_j=N5ZV^`(-?(y+Y z)qH_i+qPJZ7-{3!*jQ7k6f$0!czqaG!BPCByPkOsaP;|QMm?hSF zwAShYZU`ncH04^HRC0ccm{?Vo(?Ept)OVX9E6>RXoU2!#k^S~+o{oR+MB^#sWhMUG zPqdkH5qF(#{dHgJzALP48Y(g-8TEZ`CJyO(Z4WOrbdF25Ha8o;I9pY;PR=9CdALK3 zZX2T#x*PG~T!Ulnd4t-Sdv%s+Ix)&zsXD2q29nC5vgfPgjurPHz44z~zWL}kmz$*z z#2?T~UcQt_8o+T1nwgntLk2iBGD8WAJav5!g(JmRcH%IVN>x-;EGH2S+b%Qkc6pG9 z*)6lc=N62uJ9nxQ_sg&oiODpOT#Ur9zv|o9Jd!_kJ!cqHEZUJ3hOEyd(=w)_(?QNI zX&O6o*SG%6eqxBjg8|cJ^@Kdo$}V~S)qV!#iQjo z5ef$maJYnN z_0lom57iBDg!DpPw=0Zf%r9-~?v6)5bG>P3QPfiv z8U^>m+X)ZMc(`S#X0Rldp8meyEbzo=NvlYj?=};0N14IQM8k*r8Nstfboci(zBR(9 ze{b-db+3nCjWfv3;CB1=`rHl^$EXKZIXdTSUm&X(;?fW zFE??Zx@ne)NcnKHA?2MFF+;;4xf5O6`1tq)Hf-37AegrMTus=PP&Z*lJBfo8F)9qK zA*!bxRgcy7!>~RgdZr3yB4@hd?cD|cO4o=E7RACnefpGyza{G=!Z<}t`L}N`wW}$x z%AMX!WnHwWctA{ec8T5RgCfGh_Bh%}1MvYe$S;moXj)q*7X|F-cc?{L60WDUgrYbX zg)+xwgz#=G3yBDP`a&B54G$;T;~e7_-rFrWLnSHY0(R~M@5O728XFt!rpBs-^fUaT zdQPwO?@?5VUL$t414m7#fSpTJl)j7x8 z#mLh?uy(&=e{Qne-Klfk&dBp4;TOzjXQmaEm8&abHAX&}g|>DEHL=SK-+poKQv|8Y zkitp1eNX0g>DZ8DvT@_aVbm1-Vq(YOSg~4020X?T!iiFfupI95?6b0bkGIAbo2Y z7%;A^`TXoL`ao-7dm!A;`vK>`S`FpeGjO^odUw8b8P@zVfByTOZ0GA(p)M(e{!ZnPejaMa)v%I;T1w`AYkmk=Wtz<<%Vb(NAU*UoNvha~roU z4VDzC9eG<=h_i!e9BE;gmW4d{bGB>R3#-NuJ|CmiA;tSzFR%^^;sjLh7^5)@M9Np%{fwzrHYb1`l3^YJ^vRMi8#8Tc9OScA{g`{9k@)=@vdi zvoGGB_U^0o=}!iz;QV4z0z%JkkgIjsTbX!5d()v?n#gQZ&RKkN{&JB81%fE*d=l%! z!^5$#uD6QCk>~8l`5poD_K#uY1|eM^3Y{e>XZH6dA7>8(Y?lM6$F6M&DMNS+X)Ri? zbm`Iwc$HRU?s78&z7urMnY&4PpYEA=+J?)*xtKW~yt;&o)TyNp_lOrBNg~-h>*B># zP5D0A{*tgk+38^odSHE0luD?qu#!gZ%tXA|g7SN5rlmox-P3dAsrfo}a4plw<&bRA zB8xTTCFDet z&koH@$MYzIJA=&RbIT9$xJM#cCx8m63yD>nt%~c!86|HW9w_9oKq(jpSjNC(+$8b% z(|xG$tAAU#Tr=CnA-}M&o7^&TQEbLNx7H_Gi9sRGZJgPopDjr4FLv@3g-hB=6?I=p z1;YN=0Tc{3wbvmeMG#?$jsfj1YmpN>s3mDB4 zdXnz*xISb*#I#7(40xe=WGvT$Aw-sY-U2q&%L^83hVPqC0xiKqhUjvkNeO{#M9+lb z5jFd>hHmY)th?WwTbScM8He2YY(@0Vv(*W)C~r!G#E!t^&LRl;w^}fsB#v}5;^CRQ zYMwr-PSAOTw7N~8;*qax9G;^C0Za=)4w=lOP>%_!h}j2C9P!~gJ32MPZJjd^6K;?1 zMh?B7kC80;(&ft|jk7b_$YLvlCG9kkrjjIHIYz^MV)!GewSZQU+)c`+={Ez<=@Gr5 z0}2YA9}n?V?Pr&XMAa0BoSl`8tr9lz9H}fS;G=n0+36Lo^SqXoW(-x#k?*9{>(s?- z#-4%)EDzpg?A>Xbp5?D{W8z4*Etl}f)=As7-CztQ$=W?L4>Gm2 zO_8+zBA*H)HXR>qEq!2_@!oByR6I49b0R(|NBG3^vnCVc{w`o2;iK4P@3MQWt zd_^X+Jt*3otQEO3sVtBamx?#uj}9Ec%?D1t2%*x(-!4}qRN12_S3 zlF3d?PCgK?x4%1%>goXsk#awJ8pBsZpMH;N)0; zZkv>Hu!PY;1%*IV!Qyvmw83FcUS8h&`>!q$dmw6limb%&$cPwh`}}A>!t#sRZPW0= zqI(>=PA^!nAPC5XDe%A&@dl?ni@>NO0YSaBY2sW8rGjv)HOX(MzApGqj|oKvXHczRyCaxw-jnvsmdI zN;RnqC|CH?nnX|xz=z~Iy$LG`l=JlPFD}sUMTVB%b`Oj}bvWn()!$!O*1MDzCONdZ zesPJ4iZVw{#n9UvBhojIl7Mhc_=8sqBz|QQ36!;8cx_CM0!~@NB^9Z7Z>!Cv)p$LO zO+-lprHvKy&d%UtV8E3YIFh;K1G;cET#Gb^sa(wAv&} zUQe(EFaglZuIcdF@UVbgffb)&TSu9n{wh3a_nV7^@%euR)xiY1<#k{jdO`sv-O4H| z0leem<4ARm*h;KhQe3_GM zU|!+e#s5q6&Z@hBPagx8i^F+GE>|9PB%51YNdxX)lOTxw{Yf1iX9$vOP#hT()BS!+ zsHUpwZ4~$pgY72o2L?iP)^C4Ig1*tml z;S7iFXk_rN{?~5atO6YIL`8P|z*=$3N~C_3F)BQ;-6of{QX&wX;Xkxr z_<}_s`R~;C0ffa|Uh~(N=CdwYQjN5SU^tyE@9#3RL=@m8{?MM0df@8SZg^y}?$>*> z$yF(=Jg#NuPr|Ad0a&Awk}(DV4J_j>5LpE@cWDf!w z(fq)0k(l`L5|B5~dvV46UB<{#79UG8(5Fie-9Tp8CK=DP;jos7uvK?S)V6E?5Hk7b zkgq>4$#;g@=?tJ04l`5EH&^f4SLn;5jSz(-{460PhJvy6MGS^E;ix`@$|a#5Ix{mh zJ~%KSFgk{tzP;+&wQD4UK4okS(#6DK9VJ;TPgJR*>mU5GC}Y(DG20`Bx^;-olA}lA zS0WeTmT@^uTefT&%-70hqo0;gz!5w}C9p%nR{=XH{%U=kYtgIO@U=DUg<cyf;q^KzzAf@m4Jo(-H9r8=Q+s^Ux5DF-^6Li$6N-~s--*o(valeli zG7lP!mU1Jr-jdYEKu@r5+h$HuPTC!{VX?hE-ukB35oP>1?v8SL#nPqWFV5GRrkCIF z_4Ngz76VqohlVG3%EI+-Z(D#50-ftUdz2#z2M-Rm&gD0$bFVjP_f*hOZ}S!7p_-To zm+`%CUnHcYyY5GoC+hU=%elfp_}@>)>{7Qcm+V+7d2@*TrCV`XVis@VY<*GfdKH@n z)pKv&ylJtQl9@GJ8 zO5I+BO{A#q1a5C!a6=8X_(5Op?Z6eWA<1HYzHW_de*z}_`c$5_sKht*la!GSxE6(cI`h|5U*|bqXlsOK4nx?RPa&ZorT#f+PL55V za7(QR@%CQ>Wd615hB|I^3T5(9*t}OO@G9U6BL}u4e7wBxfW~yK&VRG>hVYPqU6Zv$ z(Uckdt^Q6Bp5$xoNp>lU-s>U(x?`YYNu?ovWdVuA7goo>!IEdjcx%d4fj;J2|GU%` zIa*|!`FoF6_!YONoT~@9;Ga+{1jzC9YHz-7M~QX*iEHKG?zOf=q@!oT5u(@%>}X2ElXt(MsmyKmPMx}W{i)eN&kt$Zumd50F!8u$xF=J3lf z)gt+iFGaHE>#pL3>8(tIyBOT~I%b0QPY84+JDgFk8eZegOe0 zB4Af_;sXMP8`+XAcs0@_Y_U59c^tpauRj>#+9&x?+FAYP8ZjE2FaZ9|Dj^9h+)nZ|h$^;Hk-?0*7~uYBckiaU zm!ckyiivUU3k8AsdpYqE)jtChiCn8z#UQLBbi^Ca89%r;?GE1&|1*G8!D>Av=u2LH%pcZ(G@&AB&_ob3YIk4 z%g?Bmoo|79VXO9s$+r`-va%t?2?&*juovA_)0<$D`KTmyg6bs+mEERV#_-V4-Oy0O zj|*5>1OJ(edrVL0aJ^o(aN$CZ)fD*>*tty%cTP2};$y`wPK@@(L*+o^ zFd3-MMnE^85HT$&1GvwpKhx`qJtyjv1&h}_-g|jLkg&=1xpU`=0weILAbXg<4Urn8 zj7~wlWf}swUvO{&z@``X5${?|;!T?WuW6 z7!Gg>;jrm=FrK>EF3*u*o;I=#>zGP!UN}C^(b)QX!s(#$E5*xAHN%57wLHFt_U#^i z>m8?6NTK-26M(1oMIs`RKy2gGty(K(8^TH3O*OlirYTkXzG1g?;n!8KZj>4y}sCXTqch9jh zcX#*aNWOu=>)tP!=~ytTAvA_qh7%j|GZ!cfT1#>Ps^p<-2Z$pB>$!N1=wY$5mA854 z10U|R*A4!ae>GE-27KqM^_i0UyGV`?^GTnPRuoiTM*b@7tQF*d?egk=L&_$6 z{XZja`w_VO6r#K}SVXlXN z;vO6(P;vf=JQPZ%(SK0TDOG5?xMc9Y2LYO5-nQgw9&KbU<)k+AdM8(VM^$732@*UZ zPNBTxCfESJlK(4xp2B809RdKJIu%i+MtL>L^y>V}5FY@U5VZv0S4eddZv8@eagZ#z z{GH=qM8E;@Qq9fHulxF@Ni0Ru0Y3(eK!}e|0jC|9F%1Q6Q*-k@8ts&gFeP~hb4yqu z83OTTdaF4wii`5)CMh?)_T7UqM@I63pii<%t4+kWd|S4h@Iw~-^9?`K(4xY^LW{b> z!b4yVHNZ$Kyr;Zs_;J6Q5WqkuCV6YEx6$6Mlw`RdAE$r(_yE|$jUY}9U%9uxQSKDda;0j z0IV;-Jc!2o!?pYQaiBnuf8FvdEjSx@dffL?2>a3VLMNcp0XS&4jxN|sQB`lzdLz(@ zSA8yp_}sX`mJKl!$d6-?evJSDJxn8-824|lSysmES3_jdQdg%T=rUf`_L6TAWw$Gm zL?lc!BCNfM5Z)m4#Lj;fJ@#1jwMavPj!5?G%;d_=`_+7Y|6LX6KcMbru|DA4h-m^F zH@=BD{qq@Iga}at;@j0$>Y;%`B0x+C6+;D&dPkV9_69b5ulc3X>Xngmy)M-z8|693 z;Iv#{IbUWK;bUgLU6nh{Nq_gQ45jGy!@o75O56;>U7*?9=v}A%R#DN)rqd{bB=1=l zVXvwm;bz+&SXCq4d0;Yy@RNxEXR>!AM;hV{k@?UffsIN&R7Qb{`{Ta}T>R^-!@afINBjjp`Uz+t9YtIU1LfL{{7)4GSi-HVr?W7y&) z$R(2PKz4N&I0X~;gaw{jciCexp{EICuE+8N?0Iu=FI@oy929d>@y4%CL3BA>M^-wF ze`mhTs%)2$@|QNv!_eXI3k$1Xym-;Tx6!7MYbD=)oAeC73q3V=jK#^5b4ane2zj&f z2vLJ}86Wg7WXn4_@dKPtCD*|!NH*}dM;R(>d=Bg)>2g>yD$;d7tqSna^7%6CBxe9q z(#7ui{W5_;plI0N=rNgC#Vjo;QNLmrNrr^`UGa~9gvEroDB=|O<>uysPm92gu9}$e zm>$vo8QfIm<-Gvo#exWT{(EHY3Kkk)s#*LU>GvTgAX+Bmb{&KghhQy{d=HHg16Y>s z<8CRBsh4nIgoI7hOIOdl&`+eQ&?;ieaDWi;S)e? zXI^>D0fFof^Nq@#8A%E$9P6!(fjZcszoA~F4WuV{2{2SjpK?qQF7ZRF19NR^*cp52 z`2e4WD>YQiq0WJ_;xa%90BK@`b`6oqRAmqs&;fZ;6%vM#H;Z<37|u=vgt&AG0Fvzl z6R!COaM$e&Z4lhUhfy(nAQ85#IQt>R6!?~b**T_rqYxvEB2*f3zl~I&fA>751`cIU_GP-j0m&3Y@;xF=06!DRLxO=~^rm|P zY24R1WVlkbh-s~2tS;Pj5T|8yKgqoACPQ$2P!U-LLwk*tm-Hz;8>qrSF?eF$_Jc zma9msJ?=)x^&?^fK!Y8*v(rhWu7VGwr*bpJ>ha|F;2#<6a#La8c|fF}`SR-Gm7w`Q z4E%mmh);dyg?I@0bP7O}Md1fn2XNPT@I!i}R@j!56@jwS0_-C^Ylum~Ev|S#h!$^u zUrH?hbDC8W@Zfm$C`DW~p!Hc=7D&RQ4otg#47>g|G(=!L`@F^CPB(dE-HzwvT$vph z>8v;e*75y-P2Nr-wpR+4cv{9-Y?ZEL5)(-*jQ{9S8@dAg8I&UuDA~$I93d^v{`O`O zsXwp0C-+Z@TIgD4w-iwiV(YCNH|~SblEzEQE|?S1@8%;kk+;n!Z(Fklicm*$9Lclg zk=G#A76Sq74%S>xCCjh){Df3REz<}#kA}7H1s6u7zVLl>ksiDoJ#J4NKS1FE?%{P) zW4W_cfby~ma&VvsR}6EgfHxLo1~d43{tihe=p>%ocdFB;Q6t0>Kp*^{W%h`c(nBez zuS-(|d9Kr|T#G-sGW{O$t1LwQ0BBZb3{kEs*=Rq&lEXBpFrOgMoIokLlJ9^`1pGOc z=WNej`fE~!u3XucJ_|;Wa0Vfh=q4Znf%!kzXX$(y7VHiKge@Nx$K!K`Lp*k@-+AiI zl|{lz6>&~veZ17YFNIvj;qHVGz3TO47U0){zz!Z0;JENYe?ub5Bb`J?`_krCZgfs0rJtr(`Vndej`D? ze>L)-C4h^r8LiejMBYd7JIOJ;?+vwy`2*uJ+##%>^?MD76&X*1bla$X`}g~7SV~@I zW+4$^+dmmJPQlUNtLPlA%k6zp3*EMM@JHqqn9&9xzBV8i`|sb3=ruIHBg4?coCQc; zJ)h|u{k8%>O3qxkd^1E&O8B@c>|Z?C5JKCz^&n7Jf_32U9DGi%x4f_`YAz+r`lX&wetv!@3=UAc z1}acwA0(#o4@pqiATIOPuD8cZQf65Aq%*BG*C+ zEAP+he#uAZqzTUjm>$&)#p}RcdKC_W%zSsGry1~)RoSi=pu*My7J&TJ=F4#;B$9myZF#BSc*=NYzOmp5_-zt4dzAx5IjS5} zp;53n?{-C}=9x2(^T`p0*N3R1^4*!c1om-4Cy>0|(2=&1idO-)S``{h&joD@ecif||?Vc&5(NYs2I^=H49fKT&Mfi^%7@8nOL zfgn+5DSQ4Ih>0fJt5-e9yJgEZK+u+HwH9@~j^x|-@8ADCm;io-Hz5N+QhyJI&3O42 zijBA{TsF|?FO?vL63DE;QrxpMQ;=y)htn82a99k}d7V}c~?%j(wt=xix zv5er%!i9eU#BhWNtV7}bfopK&qW)4)P|zW&0=3P;>GA&@3TMR%xUG|5-!1*=r+_^J2GI9?}J5oDCpLPTV zeuzvvz$Q6BaQ@j{+N1^ow%nNxO=R-nM!;G*|BCETUajGN}XqCfzk@c zgEVrjwS2kvC$irzxk^Z{3@J$!aD{b-3^c|eYa7j&Ln$KdTHwXs6At`Oiu@BnY~*PG zM7)ZDnn$9xcDae%F^(jB2vWzD0)-V&sS^>UC>m*hRxDZv7Et_l{u4OwJ67)Q=0>{6 zK%y_IfSt0sEEI+e|Dl|x!KQ;Z%Fqm0mE-Q3XppT7K|+eu8cNtNJK6R_&{+<(Qz}<( zwWJbm(D$(SV{A0CQA5s zG53d;Y5oyS=d-X_K(@`u%Gv^FB1@R#Fg6r`KcI4)#1;R`IPw21b!KLqe}%fk*c6W* zt@N5R&+q>IGY%Ynw&yG;w=XbJ(A5FOQ3wQFlC}o`aU*nU9oi?5|6&1UoN%LIH+23D z-d5c9LX7f`hhWP85(RkQiz@vY1^Ca`R8!W^G9B@8G|0n?q9>KV@Kk z<&*&v2;*Qn4vH%4h~?<-ZpAAam#nA|Z53)3;dUbcA!&2)%z+_gwdW_;!+Z zN8Ntp=H=#o|Kjl=eOp5mtgM_2Cf&(Y@$43M=+ZoP@R&VF~Fw!kXeriih#o?y}xU}U0aD7 zaKL^0_Mt~b{GqJ-=Ql05CyG~h{;rPQDQBy;CQYJ>(7-1@L-2O!sZoQ&Lmj^cU5Th1 zcTjbcPhJFd_S|XUl+0+2vDRCX^iw$Ijv{b@1m~loFbUv=bW81ph z{OwC_Bm!$BZ6m?BM4{=#)VZh2Vp~vjVDrezKfqe*LA~htwi_vbECWkSFT)fF4(_sAFqDHT?4dz(7%6tbSSmw7@YuoH@Rg#+sz__Vr6IF z5kXcc*{5|+!&9lbUT#gR?bkxX0!Y8oEYv+31$i7)0tUW}f65EYdH|~E=6YmHp}Oj| zfZ9LSwzbFrkXP7_1EeC0Jq%GC;{oGy;TL0E>AB zf=kR`D0_8r-gadI(U2ktK-}>Z%L>u#5AK>Pks7Y(<`~c}QN1s|Y-OmZdP zTvj4O#Md8+NWbIYV0BYYUtXt&UzG&E1I;P3p45LhuGimaA1H=EgA{6sXtUFya77< zukGJ^=;AMyzG(!@qZGXi7E1M({9sb8TK+?kCx30lU+7TVKrz3=J$ny@{5%+3k7|&G z5cwDF8D_oUw?4~Pr0fS4!mLV{2lK^@^%tAFf@UZ>uw3p z5-_LcX5QB_kV>LIV2KpFIeaVsEKmQ>TVs0DKNL6L+I#5Q$)ISH+=bb;*;+HZfn-?6 z-ahr}MFFx@ew{x=O`=c^ zFm&g8c4P zbTWG0pzozy%U*X`B(wbT%kdYM96Rt%isBMxZp*)zTUw&lCOYj=90n{CUB8o(M*{jrNaVS$AD1-JeP=;N{$$DizTIAYD`mv0N8XRxRCj-Sjz@p1nJaA=8RU zPTm=B>~|b?(#9fteSYnl>x=&Ur#q9}UT5%KY$3VBza)?H+z>H#f&lhMuQzbcqNj=B zFO&cIPZW(k%s;B3{GBj_y!2za{nQaWI?JPIk<*i7#h5??E{sNI4RLyh10!u2AK9!N z{22Y(D_xY=Z{B>6j9RMNrMf_GI`tpPYgwg=$P^}2J9#?^os9~XbRv@(Q1{TH<{<4S ze@=s6FtAolIqm-a`_j49fYS*sdXA?X^e;N|5>V1}s1Fun3df4IYfn5*TG%}xvLydv zFI!mHBew2OsWIeDxHk(lPLP=?As!RvgbM_lk|M>exc-Fzhd0<2S4%P{i8NOfn9@TY zwljbOy&tgMkGV&xXj@^+<4@?|Z@u1R7F^pK?eu!lY(PZ9qp(LMpkX!eIv_kUu7t3K zq+v(viC!$Ub4O@I$O?>D08$e#0-)qF|vdo?||J1^`-sd zqu;+9FeT~F1V&Ri6tw-s3r(bJ(qrP7{etAiH3X5I*=`T!7?}e>F3=o3*yLKlZx56t z&yX%uxn3^=h$elTcJ0f|9{)PG|H0eABfvppg z2?ZY(SOvEEaeAz=f82Q$8rk4#$ryx??31M9u8;o9sCBknGp{)qs5msIY9$;G$K;rI zfMNiU>Qp1U-3?s(2pU|3o}{rncz1qJvE}s%B)7OLC`YzX36YCR2+t_s2`#~yGI`{r z#g6V^49UE)N(g4or748Hgf?T_RHurkI^-6^K$odBV)F!FlAHQ=8S|UMke!`{M3NTy z>Xkehm!;$Jg^q?~GUEcKq1iKTBscyknk`Qil7Z};lRXXDCsyq+sO+o9kSd{Lz^&qr zKaDWs0_$E5NH8AUSuFTR0Iw5xe4nwK5${&mPri!>VI(v2y_w7+dyckD(AV2*ZHGaC ztDtGI3bP%aVW?Z8VXi?^?o0-+ITkBpr253jyG_1Mqu;MW0WqbNH##^ZB2+Q>8D{_ZdX6joW5l)bP zJ@5@=d>l~%A^kU2u&>edcoBbGC7B%OGL17Ug8?YC zNW%7GGEy~g(H&^PPVH!1cm3Gj7rt38n8E}*+95MkB0`HKLoj_BW6QaNg3MP@sZU`;MJ;#d;rR5lu z_pW=2OF?y!QDo1}D-O~$L3Rliqu2N#5r&gSAneqNiE#<9OQ+bStWmnj6rT2g@Q85w zIJ9VL;*yhvLtV!E&}2vroRK@BWD;tKl~lKp@GF zSTC~eL=O*S5e3DTB!(3-!*)6-lsL^;+AVGwT{o+LuL6>@3*BL4PwO+~$e;_y)nOfiUnD<$?0 zQGtfP2^nnmb6Q<=aGn-_$E#zoyhpe-qBzF*5z?$Z0#zDGDVd`OItQ(0MTixInD-Gf zX+OKnTWY`;KDk;=y!9AR3Or4N#w!>{B&>&U9_{o{#`(1Rwvh=Ca$^}*s~2q1-x|f5 z;@)!1(a=Mwq9kQq?b;{)jkDs@)6=Qbo`dL$C4KB=A!bGZRMXQcH6Dl%+;sA?J=0FOCv#G4s7p zE)GJs49xN&I)7NToyTS21pYK%K*60vD#WP4FNdb3;Pr3U_6n&k@ROcD?kTbbRE%z> zVh|3_duF0L zqxsezsB9)Sma@076e4ISs;Fo~i3DBZEnsS(>CGVv>Z*wG#oUy=L?A-OGBkKho*#iI zi!{IOxnSwfh{b#XLhYg^)dFLnjhu0Q{{lzV$_lBTDE~Pc+l%NZd8(k z1W<hspQCNc) zj;i0EwK6z@=x*j4ThV#?;6cv2wT_#q7z!AU9?{28vvuHTRbx(E+sGO+AQ1{hGJ%d@ zD&S!!TJEZ(=o_LpfJ{|`2+PbhK}xlbO(b((38m!-h!m2GU|ic_{B5$-5(>xlL)^{> zr%FMHJ%SJp!)^@h(s3U|QI_w=O7WsyA>6I3zD&M5d?M~E3U>mB`v|iEO!w5g z!j}@&A3_y#h#OowjZA(~3KFG4X5weG8ud8@Yq_T0kTZ3LU*%Q@yhkW|(w7XUO1fXg zAju@doCX9lp}!-V55S(}2!wdfIFo@wLryraiEhIIWjkyP=Lm`gqs=}D^oZqy(|^hPj3s5Bs=z`^WBk`ZEpeyi4#Z?qb|BJq6D)y8Bil7-M1 z^j7@R(t5yNFv1ip(H)YiVHBe>2EeJN+Xi@QH^RkaPYo8+A_;hidV-7qCB6U$LHl#6 znJ=bXB%v&%mO~(DE4_rsIbc8myl}F`L&cYR8uIY;_wL_+j7uNRm~!^Mdes6Y+?t&y zy_oqHY0b0D8aPNThYV<>Xj{@@Qs_n@n~%dpp^!qf>jzJ={0blmeZ&Bklc6amgBqb8 z7pca4m2&}@y@Lb@2IS8Rb{KPs#gs%;iiswVj4oktw?eBx@)iJ4pG=EO0s_y|Lu5#% z854Y@9DYeRtWMi(Xk_FVPKt~%`h&_aFDDWw7=s1p&XsPR>^et|1i~$vJi}pzXOZ?8 zR5XH-q7nd05A9;9M`J$3N(VsDGSptue){xjjx*WFY5jP~RLJ=sF0_8X_eq$ixWvDH zQs9O_i=?}ENUL4} zlJKB@Ml5pII?D?o0XXWJ=tvO-Zg-A{o|UD8$^r_5%}M(*@n2H%1C4Xm)yA*wG29C7 z|DDJS$gM48V=&o-W?wp13E>qy0F~IdnIQCha&Ue*F|lc9s}zYomZX_PZeWllVMqsI zw1hly%NNW)fXltg=mm~!P|UVYLX{L#korG2qjLjJK7)QX+F)8hIvfBLnW2PMhd#%7 z#Z1pH3l?;t+F@XBZY(S^0S14164Vmbk<(L?|x^M}bGvvk=Q^lZVK-z5?=MEW?Or!HSEvXBu1 zbe+%p_wOIU$SsZ82}W)u23e4*kF-A;xDDh>n_&z|Fc|}lohPLtbIg)^aKvPQ5*csDjByy#MEC~GMDlMR zV?l57YEuKcFx<)@FA_O2;SJgeQY*(d15#RcsW@Q{#rh%XK&iLRTTI4(!F`Qj4pS!v zIz~Z6>E*^m-WWt*LL^04O`IeC#jAJ9W6oQHL$)ar5RAgS-`k7E5}`;?Ag`232eH>; z0yF`8e?R&ZeqtMn%ll|5@rw9Cv;p_|v(NZ{r!n%cX6Gs92&E3qjZ`M+6;(m`z>|F^ GFZ~Y|t;eJQ literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Medical_Condition.png b/Vehicle Live Risk Prediction/Images/boxplot_Medical_Condition.png new file mode 100644 index 0000000000000000000000000000000000000000..1bfcd191a592c867acda12d0b6cf8c8ba93e3919 GIT binary patch literal 28233 zcmeFaXIPZ!wk=v{+uC4gTNDFgLd66kVnC7+QIHIhRZM{7oY8KjMNFt5h=`Iw3I$0; zY*9o3$&`{2kR*r%NdkAwvb)z>XYaMoxzBU=Ip@dqdF%$Is=n|2-gnM1#~5>ZS^0?E zEbhhJ3wyVV_oy6YSqd0QtYzPPC6uelNO!$HsAehB}4V9lP}D_46Sy1i=U z4_v#m*Dv>4DHQUvtgN#4v?a^;Ux<1&WkKM<>7r4;Py6!w&$7D(r+54$=;ZFvTkyu0 zTQETW>o|*<$t)D>PE1csbU70oV71W52N%L%c!p;@7Uq1#__>6OzIZZiiUj8mw#mv) zr!R7ToPlM)uXhZtrJOI8EDxDVUmTnIgDvL|&Ut#yrY}5a{q-hX|Noo(_pga(!Df#M z*PZ;cQ{>XDTPtETHn{b@UaRTf_RFG0(b8_CdS6}7ybV&((+jGK)Aj!>-d&TTl+xgy z{^s_&RbIId|M+$KnO$ZlPloZ&_R>i*xzjp)k%y0EF!}AVc=LE&ip7K2IE`4%_fchQJeU42JLWl#8Ff6e}nMT4EO@tp%5{+cRX! z*>>(-h?L9M_R+3*hb2QF?^&!D5<0l{NKig|abn+_4e`9g63iFxo*Id}e{&SKsMnjf zMxkVoZ5S_h=Iz-6zfIm(u9S;pe|xk@?DSFn(-CZuNV890Yb@AUUYojY-Z4>8LQ<38 z`hCM>CWiNxM=G(6u1iJCTYKbeMU)D&WAV0gQE|E{oq0tLbOnu#}OSaq3a%eBv%{Fj}t9Kvk zUb(b{r)-YQw~%}0EP01IJFVb|>{dVBf$^b+uA=P?6)!H&)9-fq`lPaRVOJ&?^#T%M(z33ro#_6ovv`Mk-;<8uahwhYJ zmzjv#W>y__^0hB6C+Nr7{84yHEjrB;<71VHXO!-U7#g^{yT@oJMnovy`#AbXrbUCa z){e#7&4Xe$n49aj+US}eaHuo%7}qH97jf9MJ;l7xz`&rhGS+{=#-oi3xa(c}6)$>u z#hTS5Yrjo#8?(3TsntI9=Jw6<4s~4LKu`MT(}6wM*Xru(w}XyEuGf4Vg@@YtZKOXS zq9Epq%b`QwdDoZ42a21%>9AeDW5-dfY?a?8UA^+cK=H$ybe<`X^tEavoRqJOR+CeU zJW^!6)Zg^m@E6wCYSY0FS43DB`)8g%f8L}aE7Nqx&Yjw;3A@fP)$l{>BqjB7FU_)Xt52|D>pQGlxpHMe z@B3%QYU1bKm56_clhG z^R6z5WZ89@Ac_S_IwjbDdiPLCW?UVc5*N!{EN&8(93IdS5V^u%!Uxvuf9`0R=dC!71b9F8Dv zC?l{+kF?B_!e7#78#uMj*N9Tyy+QM_ve)dT74e2LTHC9FuATjODs54n9WKCJ-(!4` zDV*ihkyo2yVW=1^sf`n;{_5J&JAQr<(|8s{8D_f&T(}?@r=PC5RKixdJVJ4>+B81e zwxdiZ;pAo9Sp<$i>V-z!R2a^N5Ta~6nSHfH~o1-{I0gXz9z=lWV+;|bhmIeccmzO{D4x^?na zR#qlej{|=BaV(E}l6qal|SMu9W^VC_k##a}Kt*Nma=&sQc z6%`%D*{PlQ(%)Y!(-j+^Rdz)rOGutBh!)7ajHV)HsP z%k4WWCEDkFO_yZy1mZ!Rz^m~*3*Rx z>0#4F1v`CQM2Q(`w4mH(s^`i-7>vGi^%+hFR3p3|Jb2*LdPl1^!mT@r?IYNan8Qj^ z3fS`U;Feg;IP0WLI0XuCXkdl19^z~UUvG5VibQ#*_TgW4l(O4yI^BxE1KqllE$%QDNi*cN0K{_vsGtlt+976YaZo*sj}aEq^sG2|2&h zVdjlXlUSZy-(~P(DM;pvuRUNkc>zDM!nP$M;DiSljEN~m{xRebLY-=GN|%5bT<|Z zz@FNoR33ly>GOkI5JT-ui{E{$cWj=erMqw6Z&nib*NBRiR@#64q^%aAu&BQ`cTRdW z^CJhL47;8x^!W5nwE6RA3k1NHZFR^TSFz$9rJ-K2o0|KrI@;p!mJtW8E`Faan|BvS z>E4YSKc}=VGAjIi?kWWYqr%cqIjox`lKuhTk+IL&HhKn{2%8F#NA4Gn^tTn^w<02h z6SBMylHN$mEv4EBY>c>?WVeBK752o66uVj^bHE+3kA{<@{_7B3N51tJi=VTDKv;&Yw_4vZuKJmAC{~yK4L8*ZK*b!~XqcsUBvOoRUew?|7AN7*^SH6`n3Ic3 z0h_Ir={%^4knfJLRp2;{c_h!pvSTh_QhE&VfO*YBK?DgyKo|R2yY3&+h&Rx`eEBjn zIo4@h_!ZvU4p2xT$;->DE4jwJKs`OTDc^S1?+6d9%Ha9PO@p7_t5FW>Qor@=+1AX# zDqZi(msKn+p9n_F-&*4<>}r6JrawM0_St{XReJ1`*vRPU8(bAOW}uWyvVn8Q>N-5s zoo}_U>FA(4_oTILbsM#H8|zMaAIuYc`*v83dAg#Z+u$99DHic_R~<-Y1+7`VdfnEoTh-VleXRuruU^T? z%gdX0yN!LV#FlMsZVui3>yM|>46qnlNArJPytq@x(B9YAH{p}2!P65j_1cQ$cW)Xx zLE8q<=XBxShrnY;$43VXtXV$&j>|m0S!vC9<2dlS!O+(h8(m9(QGCtI1e5d%0IqQF z`5R8Ze<_`d17`>1-#OIa!A7_WL0(^vU7C2h$k(>%xt7-YRg$0U(zh#>uU)`&!Djwg^njf_(-Rx6Y_0%a-T5Kiis=s~vb~`92sEalF zwL7+@<>V&qgnhoxtXmHuZyuZ@+3RT(7_D*>}Dvd8U%gNrw% z)IR#{w;w1iI^zm?QBa+qI^6^rcjwzS%N@^77cJf|CuiDO5pDAB$wPqTNUT>!%j;X_ z*8vv_c^pl%|; zIUW&2$qnZ=K$@LoQt3NT+_sqEJrz}S%Ps87P6S0}Xy_k*{4t8GCRW!xoPTrGAw@-v z_X(%;%>Z?(09xXKT?-l-WNK;_hDSu49^LH%$N3eg zC>LZN1u8%~ktUe2`mmq6zp#Enkg$wvV&>*OQlw>++)-Bwi2~MlFN|!tVLV)#b@++ zBW?F=)5m_=YEdsqp$PSoWtP636wo-(kDqPRwVA5*(mej@==L$0XUT25Y^o13O0(iK9-q%uy7W4t2LG z66#IcrrVbaGyu-7E)?B^V#F=jAbnE!EQitcSMw$s^f za9_qlx+Yj;k=EPd_7%7Mi}$#n^PuGBKHM~&Vx_h_Q>>HA^Mhw>>eQV1$ZX5>QikLY z9V(*@hxhKnuGIvl5|l?0D0{4(Sds2vK?sU=9WHjOahV{#d~KK1zSHL8+0sY*i95iO zhGV-JH|Cso{&0CM@BI0#_U;Zy;aknBx89eqJER!6)k^_^8fy z5C?>NW>ij2)4*fg&JNMJw6wIdJo5T_jhHY(GKdWRStB2pWFpo2hD8QD9|8m_Cp0c< zlqa-&xhytq8J>}izT8kx9k>WdslNPG)tN3S*g$au1GXqj74g_A+=l8R?Ypa^_g(&_ zvpzGODtN@Z%+bzR1fX}7S-if&LD^%ta?|I({WLn#_JH6st+Ry9M<05;DCG6)Saxb- zU%L?icOk5GU0xep0^CoF#PYUBv1>ayK4kcHH2&jYdXU*C;sVN*Wa3mp4@6UT!p9;t zY&EalvGe|0$p(py@dV;gEX24B^&FCye{EYoa97mGwzqM2l5zQgHi7$6E}ER!?QF>}KZ=a?|+Ch$l~;==o1&?7v{gj-2ZGXl-n4Dk5by z%C`oE2hw#YF4Gks+`fHMz^P>};a!}4BLKic#Ap5T?%K5S;jyuFeXF{KM!vUhDTW@n zs(`w1r~Rk9q931Y#2oh9Xl&n8YmA+F>f89ZBKA-ra*_!GP3yMFa4oCtd3RsD*jFAZ zHwRJtoU5CgBCfH}rdX)Dc=;gOL=@&SG}(HX)+hvGj3-+#>fVD2MI zbyphpmm*4(t3aPW&6*{iQfGh93F}-NQIp}6m^Sk99zkCEn_RCs+buG_9AIj#*#7bP zouXGhi;NJ&PanE1bo|1vzZPL{p2q(E5cm0=1 zs^2{M=+UDsSH}RY6;LZHf*c}fu7I0XBp8mO-$vj3NX-C31xk)%e@rn__!yfyiK7sq z^g#OKr6uN@kpQ>ibzA7u#7-A(2Dz}4Y1Cbv6rmoi8iC|V_&lvDz}NRgu*ZZ`IYO^m zn)RvXwze~XKhfZr7Kxtt4MEEKp0vn=i?MYRK53SNlfVQ4IPjbs1rjVri74hg(5^5h z!w`DIpLeo!`)tOsU2dZTr5+Rg%dkt|bV7AtC^L3U|C4EN@Y`C}b z>IPI)ey#hbiS6LOc22~5Izxz`fA@6Hl_!t~Y%N4S0`T1HFevty_S{g3Xvm)u2TWPt z`3qN0v(;=c``ey^2U{xTy!DkaGO6Cd%8=Ceh$=^dB?G!05!zA9M*h5E3PaEPFHXPY zOS(znOvvr==7^lFpF%j{V!-QtCzEiEm3w3R>v3cfBbR+{Y#|x$}trE9oKgCDC_9x9G99!?phoE)^!FCh?^9enGG@G_g@L{S@Ay&%+b*VZ!rb)XFvS_HU{MgnO2{1|glW!QXvks^) zhkFqxUV6vqrze{RJ`M{DYscd@pQE(xSdJ&Z7fE+H>wmCavcq-wi698q7jaVfk9bdS zQ|@||N53&MzgC}%eEkL$iU#;H_9{t9$p^6_I$4twWB>GOs~!C2xp{XL%>3V&1rnK! z1j&4b%BL^9>QVa#X19|u=fFSTC!2B}ODO-wR`45A9W%7^;lqb0(SyM8`gL#B2K%O_ ztbC&;cOH=0=a@XYP1)V6LTY4z+<3v}1IVRUzrDXJ5)wqLQ~yWbFwiWokuJ;v5pFxY zmbqIh{`v`zuj{WDH{%JkR79(df~3;V1+u8bXQ?BsYB2S*iOLL3G~_@zi-OrX z@=r-|cqsGW(V8t=`u@5PdV6RYuNU6xc0@Isn!4lV%a^BiT`ljZI4qJG=5OE}%~-#2 z0#enD)@el1)7bg*55lL#jUYc;KpuptMCqc)R$~zbD^P&epsHk4#p3j}Op26^* zZRCSc5+}UMQ16?hcY)2DMq3F^&<3tv8IrrowySCr`%BQ3*$mmQf5)5=;WcaWI)CY_ zM5WpaYRqmCgZZ<5?RRaM>l$9RQRmq~h-igYk_<-vy|;s71+NO&om-f9MGqKvMEeR_ zh&))?uv$`lJj1Ws@nz>0Mhog#$vp^V@g{i5u-A3}c-M@>NA>eGzTA0Gxtbxn#@5Q~ zRele@&08tDsbkZBuywrsZIuJRNvX2U*&zjqLvn9Vq-qkCe06w>*7F{iEk4~xlY zNEKF4re&^b3a`i(tapiEUw+dW}&?Ch_)J&j3XjuVPQJQBcC3`CPA#Dyz7#c?+R-x#_>a+GrE77!E@d=cZvTMmhQt`Vcn*EWw5v#uGv-JQC|_Ig?V*>z z`WGhNOzlk*eh*TfvV3As_}B`MKW|u_5%#EdgXHR>hg?gTPgye^@2(ZR^Mv(#>`B2> zwlltJlxCOL@03^LcDjGRYtaAt_LRL(u2ekhA24Bf|Ac+?9L4JcBiTq7m-=C+B|ESD z(d~CdNv`+Nc=0d1imL_h2=(36>`P>Mx@ruMO<87PIO51R=uye=90!aM__gLSEz%RQ zf7la{y9Unglq;q`e>d$P4u{;(nM))S|_b2N2a0%-Zy9 zmtR+n6J`YT2IEnlL-LzDn}5fRuHoL^UfK+-44JRVtRL{yPF%sRn(_4M)4vk;VmbWq zhvsIRnN455e7SgZma=VlT|nM;uez|ZL@tKshYJt1duOEC8AiJ7x*;e1;U4yGh$r30 ze@MTO4F5U(QWXAcD^t7x5d1q{V7m?j650YUZhVDe90ls2)(S0LA%oE~0}l}Nbmm_> zlfDPXU$1eM6KyUWz^jEIx1thBLI7@*D`UgayYPVJj;+iRu^4s z){Pi0M#x#+@R$$yyIEwqi6STb z?ovPVon;*2)020+u{@rqaN<#;A)Gd#%snxZ!QfT=9=G;b>MbW&OrY2;@B2_p|k@Ia_pYTL^`){}Kud|1w>7bDq%7ooUKd zw@6d(>+ipntMWu^r9ELj4g`BSm1}A84OF}B?Pp^P@*N;G-prkKWH2u;D!rY}5a z;g*t-H!NKe8Js`RN0&u$H#CSdbyf&k!CNnI0jUCj^BLTq4~M5_CA&=+fudLHIRt-qU;)n5$B% z?V%uPr`vaz0aOg4V(kd`H?UR|v+Gn>d?2k4pGN|eN5U$gSBTnOpvhU1R2{&q_fYPz zdu+kyZ-B~5JUDUdfDMOPmIJOR7Z*!8KV#W;JOa^U`p1Q7#I`IDF*s*6NSEOmyIVHp zrmlI~e$%SQrTD0o@}r=&o*9>~0d*zs`wYSu>4kVdhayy&e}O^23Qj`IUnZ@|=jkE& z<;6VWNXZuiU1S5?5uljW!56KT_nNcJPw?Vzzoi!O{qoDB7cX9H^hfpj==N=1b}y(M z?kH!vj-1NI8LX=r;1hvIZ{qqMTV#zK;90P-1T=FzBUnN1&trGa>+dw<^&kNBl%z+(h)$MQMHzeh?%gP8xUmkO>$zvmx?|gP&>5gauYc)I zYr%4r!I>l$mpt67p9|~F@~~#_@UWeNi((5>*XJE?};^*Z($N*j9kLQh2!a_zrRc5 zkEGh0RmG@BKLSvVGsx7LwRr0dK~m?t*zxS!>(mnTB0zmWDd0}FboAjQqaThIju~0R z9`<~hFp-Q6!`Utl^-htfXQBXzAiC;|!rUMZEoTsFbJ;~^_rHan$N%|R1J=nymVZXr z5w{-&DDRAtLmWyld+VwLJ|*uH&s1i6cr4vzuK>ce63h$l!i8s#w+g)l*wAF^8QU!y zSpydcND$vJJO+45bo5jvg!0?|*oG`#VRL+mkc4-+4HrWR;QVGzj%-oTPBr)e3hfvF z4KwHK==YwR?X?$2M$=zqdC-wFPuRJw8Rh$5 zG!SQ98buR!>AY33rK%s<-BWI%xJd=Fu;+yX-@ku{81~QKr-Dpp0`~K6ybUa>h{zptFHZrXUz3mk7>$#v4q1t;@2)Pn)dbJId2FuZz=U1^R>FFuu)2M1!kga2Xz^O27ke(|Y_=Uo)_}w4(Lht7mDdTId(qc$o&{E0q6WmgUBOG zi%@VvZ%uq6!4Q)E9wM|GyPn4AuCji$&GW(n0fAtn8FS{$5qV*9m7Z=yX1OYt( zx~1XaVgC4cM~3WOgbLlx+pgGAKFDuRxAYBKcnorF#8*fY0G0I@yz$U1!xPef=I8r; zDk{1GJs4CEFWGKhSTR9PGH{~{)H$G2=vw=S;44p!UUlM4*q^f}nRpM9)Cff_5Y~%A zZh6t!NADMas<^SL@_uL=rWODbBOud=iHphT=9dKnjZ=@5qo9&D+_&v-iuFQc%{B5Z7W4bASS`4X*f^S&b%i zgT(I~rmUzO?$j1q4&^U$UIOVwli#3umqX7v6%KOp{O}vDOKzE)x-SI(0flD%+0*M9 zzGDx%V%!=atmFmJ1Fv7do|YASg{`u%>y}_-`8vcSp)OcmLwKtk?2bSAFeH1t$w96Z z=js>_e%AZiHQ@@oycaKc-#8;3tn=`g+@sBhqU)vi=g#NKN3*AM^JMSx-X{Eu|8z=l z#G@gJ&_f~nz&7*RvvwSE%=5%=tJ>3!BHs%*Hgef@l}5%;ncxeY zg(>3_X9pRMnd~t+)(|M|##*Cr_eMO|I5;?OZ*NsRnk3f|YjS#$&sChQ*Bp2nl05z7 z$KnU1hj)=h4;b$mL}6HLKk9ChJ#K>oU$u0@^5r4QRZ|(VR;}HZ`LAMyys97RxhzOM zr}>n#p~=DsTqKs{0NW?nrXsc-9>Ew2x<$9VNC&@EL~^^Gd_6<_oOY{cJ3}1lQ7_iC=@~nYBh`u*?ccLZ#=3)ukDAQr^mm}^i%jnH52N43MgVRnS{uQ>N)vH(I zGZd#;XTN}XyB(HkThmy`EMGr2h{zMB6lC8Vm??LS|Fx~U)USYX7cN|=74VECQH$0Q zVzaJ3b#gTBkuBc8XU_#Foqo}7U}LMZ++4Dl8`iHslwkr4bk`*Jv zEt3Tfua-KrgE!B&&&X|325JA{!-qb%I$5jJKBYd3#1hOrCPvzLJ{_J1X5)18LqWtr z@71i-wnrcw7VoqU18v@8GKQc-`x7VV?ejMby=#y^$-D+LV4M^RoS%OB>3x07&sY_q zjr_ZdUjlAaJlfB*f8V|+EQ>Gge<9e7EiwoFURHAD$3mdTV()|f;;Qb!p|4*x5xw;I zjPUTZZ6xmNK*T$5c&w5#{p~6GUh@emW~2m{ciaYAEU^nYHn+q^17q3Y#qR8yXBbKzj(Q8?tOx}gFIdXhrMiZ9_ao-xD(PYp$Lqn>5lqZZb z^cH~xAu=4x1m3t+auZ(s?nnLF#HTR1!^rVmoPXIe3ZAB*Y<D+D_ z3O(%7`EPd@=OKb{EDHw?yeTL+ERr?+=#byWj>VHzx)vR9_9Z^qLq98Pg&1%Ey2CSA z7{`ILs9ykrQu{Xd+Egp^wkQstVkwRgG!>FGlnD{F9sXf3g{Ad`Z8L94f$4{J&_88gTtU0x2i*EB`jPr2i+r%bZWrn}sw0)jyy+mCQtgLkRld zF~avm&7e+8*wK(Er$k8uPS&Z~0Fb2b&QITw>OP+7o&r5!tBOL{b_weK>JNvOPhq_f(__?IN z@gko=2^q=IE})$~IgySw6Ek?Rj_NOxxPBv*>>ty^yVrAGgCBFyu;X>|o^}2fJ?=b%4MVbB;RL7uV%x;Rr#S4;r4r6Vm(jA zb2@kKG4B4P6$jXINom0uQG(C1Lx+zElsWv}?JyqwhOwc~7FKo)VXfj|srmf;8|ByQ zCO<~^#3m-~=TuLd5}PJ4#jp=bs*NFv@MJG!XccwX!Z~@IWYiz$2yBcjH@2fF<|#PE z*$*Kg0!v7aS_q&8R-_a1scJC#4kPZs?D1Hb&XMI_+2ZH=4t3!$uEe5u3_V2Y3HRSN zSz12i=+d%T%R|lplt>k1i`exx{_$LhLq|7qr5>!EPckXNCHRW8IXHn4au+||jOs%Z zw+;Fr5+ZcxOFlz&w1VXMEDFWDAAyU#5@*BME&!j8Q+PqR=RFGG+tgMDux3im-7P17 zr!7F9Q}~x*ZhFSrM?cL89C?UhF@R^$cv77W+1Y4nilIOYzEIQud#t>KFm#pr$F|oy zh6;Azu5N+Pz>z&`1?dN$`oSAf5@8XZW7eh2%uMPa;(=iUzj)8sS`}XsJ%GaFCNPoU zIuxtdCHoFW+?e=d`m&=c_Pa5woPK6loor_@;D5pIeh zWHUmq1p+IF!(AK}IppMnRQDz@JUxT&;}*2_=_9#w9__z^+=;M$=#VNf1=-$kp*cHA zmFr#pPe>!EY9Z1J*fJfxMcV>{e9__O~5ZL`Bi^%iiXE}X{sEYLP4T&{XgtJGbH*x+2$U79s9e* zmb`-<(R>qM`)+z$r}Pe}-}$ztzH>d@XUnaX!O6-|8LomBhOx2v(^vo5PrT*fU$oqR z)kj=Yfhq%<^j26fwC;%>K+8|e(Wj4~vw#8JFpfgLYCgw$lfNCT`=NseO8}!E0+OH& z=Dvgm^;p8*@fcR^i#aerK@@<}q~qWB`GHk}-NtE>MDl?pX)(CRvXF3Pj$bqdJ) zyXLAAK;gC6{|?xu`!L9L<2f|GhCQ7MA$e6*RbOa?6il%hYhJ*NG4R=AQWxr@Z+Sip9hH&d@c3B0y6b`TaUh?iZeie^@?iXo zBPtp;&b}{SZeG8By(-=?p1Pc1WMHmp^B348W8HEvBD9ll$)E7tnIC>k*#~q^^%og! zHOlijS0lD(7qNuq^9YL|$HoJKrwX7Fq(Dk7b`&|`4$;YUPBIPtr^+h1VDL|u2%XJ& ztJka{^FKPU%)9X)JZoii&H(M^Oe3{}2Q~{0be*ImV-eTy*zvAX8hZwaSROk?4aOky z{i2SFlDjUTd7ExN3?9QM^lOZw&$o6DD8TIjgF5EvB5r7 z0FcJ%Bpre`jT4KHxd4{$y)?6w1m{yON7#d0p3h}vQ=Y;Xk~V7>|7_Sc&`S2!my{H5 z);|Efwf?#7+qRKKIf1p6@!h!L=m)DjuKK7iIhFwFboAyj^#0^f(WXR&-JU&rw%WFr z@LO2%FfKyk#M}1nK!gV1P5=XCnad$Izgs})DHbfJDv- z{f31knF(Mm2`FtG-~L@iPwm}|Dnb*vR&X771SP4#+b`!+JmLfG?C1j>tP6#qgK15g zO=Pk~gSiR^*2y3tNbbRlP-!Oc^YQVuNyHE^C(=4+)ww#B2K9DZ*Fx}mhNrfN14u08 zWT!XIrS6)LkdTe9?g;Dapx0nS3su?-2gnTqe-spKs1fc#Q^PHPzVyBHhF1*37?KC5 z%>mSFN-_da3`(d48k8!({YrPI5VWJz?pZDBkYdSxpMSde+osI41E|+-`}_MlfBh7V zZ}U2R>BHoGN&k>N?gFlJ5FOe&`UC+QFa3+7#W4t6Ml8T6LF>wJ{5>a63atJ!KU2Re zs1l^>_w=qe_Q~RO3Y`8=c!X3A#V(l#Y>p-;5hEYL*9$|3haHznI+lC@BITsIImiDj z){AGLjQ!63OYXrzgcf?+&+lVZFnUoDZgE<5)E9k!K9B)^|NVDmn66s7ySuA;y1V13 zCmm^efyR#nz9Gvr&P5u!G;@)!8M>{WgdlZH?B-nQs*M{JQ2a7C_gL=WU9uz=jJP%c z0)z9StZn-;a&J%kK!1`=_5u!D+SHO2i2x{C;0kMDb+gh z!*I%Api1S`YyY>N7}^Z~Z^mup0Cy<=7Ir^{HAT;72+@-vq&cHKKhd{Am}51;_sM_j zS{+|#ysm*s>&A+1$;`!g0hN%~GWx%+<_IdXT>op?Iv?4(GE9CRs8kx)K#-f5 z)f8hNQOrhA1OA0&EFRT=2hjers1tN!vhFKFYVv^#sq2s$swfdq7cz)Aw0~EN7eRj~ zL6tfZDe9j+OMO$3x7I4@9NkIp&}cHZ#Ox&AoEj*okpqRUF{n9eSk9UlHI?VP7F-Om zlOhPr`Rd3Ln~pw_g%Vu);brZdCHb*v1c`z#kUEd)2r(GKKoh$loeM^zAKo_%U8S9% zPB^Xhi~sCz0U!P}>_A8qwRKXwg0}#E;QiFPz}abZ)KWH~HF);Y7*g`VSosP5ozu6O zfk!p14M+O6{qW+alUx$}yN;IDkH$op1B}#pq8G0kYWTx-u1WCZ#ni85d0U%-w*E+a7nf|irtJ4o2Iqnm=WeP;Gq>*>w&84iURdVVj1h|LZhuV8IFqJ;#hQj05K;^!im>ODzU;92@Ebb6b@Dk^ z)vb`#%e_XsX z^=n&e>m4(`Aq)z6U2vst1#bHB%el5oMDtoCu5wsQz2x0fWxvuZ$swvQ#6-t9_4r-n z)X;pE`7=D_0(MwE>N=Z-fKJ`pe?P~my+Uj~o2!Uf>qJCEsEL%mMWujG@x^(}nJP8h z_^UHkHtu@```?(+1D6cKT8Yyxc?eoM3}F#6li$=(;i=(U zx<>9r4bz@%Kq-_HN)Au-gZdHx1yiC6tP=9%i#{X04~!D;ijHVaEz3clkv1pCk%P0n zk_Ppze&}^)T>OOM-uwD>f6)UZ=%W~fVn2Vug3}-eJfG({aDDReye7F}WY(ni56ZTG z!AImTr=8w?GRQV*AJQ52awOBr{o5jt!Mh-f=a>WkZnPkFbLY_I}{EJud z4)ftJY*fL8(>Me;#%C>+xNW+F;W?e|{3U8;$+!QZI_KH9fB%>Ish(cV_?Z{Lfd4M_ zBl!_}`Oi{6$R>hH|2Fkw%#{RYQT=o3hs~CQuKs=MXIOG^E&VT3|My(|A5%Z05q7bE ztmOZg`We8*jsI!t{|+YpP3mXd5F9}Xyj(xEQsbZ8Btb{kwr#6X{vW6#uT2odH%LgZ zl-Y~s%~NaaI+|u3jRjdHROM#0RHns2<_n4fA=6QYHJbF%UdX421vY- zN$Az{&Xz5^4}5RCA<54-3~e}9Hc-quHXZE|>PSEcSHAq0Jp3JRBY%xkW6#W)w*li= z{D;xewFjCg(e;qv&=0iW*!M;i^tL3Q=aGA>6fDW<=P0<6_@LW!Rl7hQATnA2HT{qC zfLa$w7t5P=Zt9;eYV4?C$i3~p=y8iy<6k|F*U1NmI_*tyadD^WvAM}yPiA?NbLrR; z&!tv3Ih-FB@L#|)-s4|}mAy20Anj(0**1WMOkZRl2=%wyI+{OxP|tQBpAtKLe{QS! z_CSKl=Wr?b+JQZ^HnBnXgCl@lItI>N%!z%>ZTmQg?UVlJDg|VU=K;7 z1Wk%Zjjux8%aFpz_J!^k^YS%!i98uBvPe@uaB%G@$`4(a)f>)3gE1Y|6HS&L<=;uHg%B zE;t@a z%|~nPAjG^*h-H;a9cmv!H%ZR}b3wHT=|czw)YpuwQ}QJYB(DmWM2qDPnzEMCicX&X z80Ci-&=*OlmJBcA!tjAo=|?II4O2o#I>`1)ns;#b?n1Buhp0gr%9nmW)ZJ)U3TUDc zx>Vp;2qkW*(ctchLbQp2Dqd7lRLlyR2c>1;^io_n(rkU?2=&~6LyAFnCd^OX zK0bw39@89lc2C`M?FC|-Du^3DaL4t|U7PUb5$YlBn$hvHpI^#ZodkM}exfcL5ZfDH zwL(!U?T$JJ07)%SfOjmvY%I8f)JE%SnWjDQzk|gh859wM%mzmuNOv#J29}1e;3#+& zJXHhOlxTrDnecuAd=G++x1C->~xns5Nr8Qcr{x_$p^Y=QZ_ zykV2y+GKEmJ-$7Kco+@H&63taU#<%96N*aU(oHFBbzk?Fx)O*9w?1e>wxHxPJ&cG@J=`L_&= z6vu3@LUBYSHuVV3U$0(*@lqYhS)`$sgzR37#!}3Qqh$f%q~EmR`pTD#{R(KRS41P< z2xtSJ@{X<3XY+5)Ti6dfL7AzBbwFLV(JG;r014L(v~|mWe0$#% z0QsDcD5n(|u@PON=x{FdVyPJNaCIXx?3#Wpi)~>0>)>+iyTD z*pjFB?ldw+;i~JBClKCFp#j`z-p@ZDqv1Vl39)1^(6vRV2t_{Ph>BygaN2NTIuVC& zV;kn(`BU3%tRDo0Kx!>^g%$fW82pdWY_=l)egrSPvCuy@zhGG5OgIKSMWAIXZ=sQ3 z0GwMT;^xqpPva4v#zLM(>@nZ_v~}qI}8sKrALYemT+K zFgd}Vxp-^-?e!XO1`SRpWuV**L_Q2ez*%JEvlGNOr`a13TdzP#US1RtM%=d$*J$eV z+G$c<@6^ypk)!_grMobY=``v`>TNy^Y3n0=@S@LKFbxq@Y;vU7qY&2WlLD^2 zyXV0(eN8~h#3!vc5OQ&q5C6`xPt{2Uu1Ie*cPRozD)SWD*vn`csdN1s?2f0w_J2fu zj8R$`6+t_6r*+HkxFv|HchO2K22UJ1Gz1bcMPuHgMaG~T^$H5i41LSnCd=Gj;^`?O zj(4Eqe2=jXBbYL!h%HqFn_6Ax9B%F{P&GKW3uFD}*jmElAPv8LxoeVE z7qiRQ3!4Q>Tn5^YBRjTjYXBcnbai`u`{HZA|GpUy!gf|Na+vH9|*4hpdc5B{3n~85uYG9lbVQa$aCM&yBcug+$Af}DMDgnX6yv{^0fEo;SU8tQN+q7@ul z&sA~vy5#!9xyDt|Fe{F0v7Uv^RfSny=@XZ+cQI^gJ0>bJhc=_xRLwGY^YIJDsNnxR zBmypDdThr*DA?M7);*eOHUe}}SB;r1MhC9(2bgW*^U!h~A7mf! zeUE{Be&rvNv!C9|I5!7LL<}K@$^L}bZOO{YI*kDud3QaewXpXeo2H>#cRL_1)8n}` z{3a2IrRH7IK*%>wqQ}t8C+%lTI5Zzb=RM9kY@Ru&DF)>tB^i#40*WkVSwUY{`}dEX z#L&E^(5|mKwv2+=qW4&pGLxk=a|v0F zkP?owZ3H_DJx4@k&DxIfG+?X94-C77$kH8_vPd&FZh41s-DiTG*1RfqH2ByBc98TY zW;wv*}=glmEGEnT1j zzA_8MBh^9cuESX2J~_D!5F-#r?+DW5E*b)ca7X>Vk+=0m)81Ym>Qvp?ZAykigojSh zq2+t$NQF^?shmH8V|`Qf0QQ)Ji#eXRL-!o(F($@&1(V$x^>~q)}M_G4@_8ScJGR}Hw^{CK$br?ve%v( zubK98j@EkFn^okb!&ocqJfd1-rO+V`B67sd&8_YdB=fGAQalFYP@qVP6=^Z`(p;ki zv;#2u2!t-F>7?P}Jdh`t=3ha$cY{@N6fqXVD3;8EiVEML>$QTSj?A|vfj-@9W0QSG zh>XJg!n1He#HdAHBN&E|s_VQW@B>9=W`B;zSJ*T=v&MSLQ>~hLmoANiZ^#sTFn}p; z740+B`(elf&4Of`sj=mo6l+s;3W$e3Qwj*P=6{c5C_@5Rge zGYT_YCq<y-zC}S5whKJRu`YT=$0?EA)qJB{6l>yv_Vf6iR10QKffbz;pce%X*q z;k?Ff>J|zcaef&G;jF{@Q~-x7G=pU7`pk(WBgGvKoiDqc-a9-TUJ(+S@ACEi84XPL zf}gvt(w@vbh=u0mbQRdF#r=FbXwn>fyX$ilD1JDz-mn92CSgV>I^}8PC=Cj#%Ny@9 zoFu;o&E3T@jm9Ju+AZR^bo6e+9Z&S7B=F> z+k<=#H1HTh2wXt736`fKacw}|1Y~2M1cm8zp!wv)_$b=-X_Bmb8HRziwzh^-0fgX! zKv9N~KN0A&*l3z>a_>!nt1mAAJqi$jD{~f5Va3C}(=lvmQVoN3`o2za49WO3H6dM5 z1@mFJ2NEB!ThF9;^x4vUYM7Ppu1h^N3=5|ntY%czb8KBHSFAs_m^6$5x@wbm4k#h< zK1Nv@qUO*LEA+d=A%~suHlwp1QNVk4-p-d zkxq-sCnBOc-X}&<3?=2~FTz!@h)gpPsI+ zd&VxtAf>5gz58o`mecsR2FK>B&KT2FcVQI%DfEuDe=U}GTr)+&I|H#s2!gao=74Xk z8BAAXo`I7-1Pf)1I*CSNh;+q7qVlCVg}iuDh#?!G%TcLLQ@1cxE#2X@$x$EgZjieF`z@QZ*b20o^dbJb}Tq~jjM4iTe_{^`^)j?9$0C==^Dzr0&z3BQL=g@6k6BbyfW!4B3g&fd4S{uZPj2olmMU%d;J!0WQrokMX zL2toQyI%b&in35A@$^;r^@yuMzpWG#p6;pFbF#TspH)g<&6q=H~$gG<3eEy91aJJU@Qu` z^eFk+{aQ?LoJ@JN%phTC2sjObM3T1Nm+4uEL4dgLqCT(B*%N~z^hl9d$%2l-qp?I; z)YRw#C}6xDe-a%{ED(#xhP!v~PKg_W^O4JhalLv} z2#6`-&XC_LF?=`*N9FX$-VJNk93VRhh*!G$;jFN(u8M9fg->Ty+4 zz)+UQL5&9l)uMK1)O$3^Ri4lMd=_kUK&l;1P+!xGf!)Z8XL+Z;&S+8N{#0u-yXF!~!#o z4rNaga%f{cxQ}iQsF`utigcI0gelNwwh!l16Fvsc(Z#eN@85sV@9$3wD)s>HGk}V? z0|TX1(a=JNmd0^AcSc9{Wk~ZH&c0Q7IgL1LWm#aOL2_u(n5-__l^xHea%0hjj8vtG z)lFf_=B&hAUiwk=_U;Tt5oQ8E7SXrt~&?`VmHuT&i~~X-{y-W45j_h#pu`n zgyH`FBk0+b<-(xA`>1IqCdMq}%dm~?ip1Hx@A|qwm9+`*@%eYTT^s7IS&P;M(4M?! z&Cmn@J%`a)iuVqpHriQ3CEKM1DuR@XK z$;gUMcZG*leSg!~_=hOkndv>&_ts#%JTcyggJ8TNypsLNF$0f)rn6$4r(F`fa$WG+ zYa*uh+v$U{TW^@0~Y=?$U&h&Wva~L(l7;P`2o2)<-DgF@v;@iUy^RZJg#5@{;GID}Csw)f~dI(#c zUTME8&H|h^@t|OI(RQMWjYWfGL7li^a5ByG>%Q*miNmF#o*%?6BDl?5yenh=Bo0CXfAX<7+b?brbyCCC%cso0 z=4oaG?}r$s@5jmA4+8XmXDlIORd)#Uu~_gE&y1JOF-5;Gh3$qs7y=ol8YAjdz^dCL z#=eb-lH?+fu`xIGn8xy46fXz?{6p3Jk<|hGOcL!3HMre8ZP3=oH+nkWp4G`WwJQEK z^Tr;HALxLEzWr|BpKv+tq6Z@ZMnXpM4b({Zs6Q^FKgl4Z&9aQ+6S*D8l*jatL=xJ} zs0gRoVnYvikl@@3HJ+<02uMfQ=C)Em$1r}Pd3r^P?p+{*7Nw?A<=LdOzt!0QAz|4+ z7TzTG7$1;c#{~N(xriy5EN~@l|Ma5Fv z7s5)5`GhVgN7Xk-;t1ensxd+sMCIaeW|ab$ZSCLV!P#|kXAYDMp%O$f90ahkjz+B- z-MxPc+ILZOEO#}k2kR*5I*`1cYn|lu39x((V~go{eSGtU)TxzXL7hEKJFH!>=ABZZ z9X^ccv3i$h2DWqJT5pOs{_uk~hlgc?$bg`N*dnbSWc0wc;zQypts`Hgr%dqs3nwpc zUN|I=10GShD7Y0Ycy>6rEI8%Ba!^ZXSXiKAK^J1z9c?Qbx72#D3T<&Wd6_o(Xf*r2 zkEjFes926+v#8z)q2J7DJhaGzVW=eKZ2lN#UE=oPpqmU`YpH~lbCR!g2T8kuN8=Ks znSlfhw0yfq#lO_0%XrAiVkz$(Xuw>oy@AgDC|`T{;-~BNx%i(|NUAqjQN;s`)=D2Tl4=VeGDHb|qxyky1N*N<*KH&}XVHC;gx1WRU3JJiY57Z)fQ{;EN5;vjWT>MKQaOzHcf zhFR0Zm1-v7-(2V$RaTF%R9@feC(*@Q=3G}{29>#4sX8{;ti^58HmzQ9O?%5{#TH4ENW_V%p_5JeK(-n?+27IFx#-sg1 zlb!{vY0dMQ(~e$65o!GuCO!hoa4i%HUvJ;w&p%Pz_6j3um`owFMbPmPbOcjP)ue$cflXMEV5X)J&2*o|L*{nc_#q$yde#=bSuYmpnj zl8}&~%g^T*yTr;Y9cFRaf=?%AK74_=e7nu9@hTfq@dOATP zQSDXR@P73;pIpYo*Y@+DEAQ_TW9o~QVA$MN8wYNQU-L=>ii(OF++C<&-raj5YVjn(`ODg>Cn6Q5I(SlnK|w+NlRd%HY?QHe zm#{Ryes#>t&(H6nQmKuL&4ylyhDDz1)~Um_JQ5`Z%|Qgmyq+U|@`-!(hUN zcXuW2`h2<_?%cVvZrwUHJUumabuRtcy#=SA9&Igf%hJiXyjw;_<`MSE@>LsZv1FEK zyFb6V-4rcP|7gFaVrOS(l1^sQv*>7+r5QGC6fUKpKu)ZGbsg8tas6JajP?o3H}lh@ z%~&3mih`Dry2ZuCB)yzhzHBlhjh@jSVI#v?T^|ajJCoI770YXCPKlT`*7lS?beJ78 zj-T}rcp~NU>d!y_yqMLdi6@g{P%sx~wh+HK(@j4))O@NbNmKpl(VH4c8r&UDT^_C3 zHqj041+J6ttrO+uI0`D<)zkuRZDL7k%`{Iw@!;3}2Km`L#Vo_9A!o5I>6Wh=2zTmK z#hdgF52vhLzx_nOYs-$LxRaspEwgyU#m{oc`&PcF;iOjZ7inN|mMvS>)7>5Y%D7_i z>222Bk(Vur>U(eAylK4i@GcRv9{WA>MN125J4MW5ewDjhhP~BW5v(=ZS&*J-nD(gY zWuW$sX+y6CO~1o)3D>S)C!dLplzF-C=pm<({1Hi$%E!Cu>FMvY91_(P377FQC@(MH zub*ol*U-@(wlu7yqVfS3@;pg1nOq(_yKGgcSaT4sF7r4i7ndov>VB=%Fg*TkTedt~ zT$mr4pf;#fD2_fWy3!)pl&CK6n5W-ea{r-yZ~8#Ur3lp!LF1m@-dNk-_onUHHi`-g zA1J7AS z#QZ~J$^Bg-HeZenx96xwdQ63269)0=C%H}zCOVCF&dqfDJqikn8|lcaV2q|eJR>_Y zGU97&Q0T5b+?v@SR3jDbwKU(=`pWp8fybmK3(j(G$IucUu!w2>v0y&^dY-iWXWzbA zr|4uVzPYurfxqa-GbSOE1bb@z-TU`7Lq#nb<4>_k&-OeF=vgzoWS>LrxW(rF?TBW= z=_6@Hi@BV}OvhdY1Oz<8(@enKie>sWER0p~4}M4q<#_JCv@pF>#xvh@j=C3-qFJCT z+ooICvR!vBnt3fu26LKz{rD1R zr@qT;Ddp7R*<&P}W?6=J@0_WNmLF=l6zSkP+-6mj^7t{MX7ZVn^^YjiIGCm%U!2Fm ztcz6&o_M#zFu|_B`iYoT1UcRD&HRRidb`9d8y^c8ZQHgj2Is=GCPLb*?%B;h-@Fm= zT6CYCn=>o%VbaNWe%WB&P`V?#Kf+DeX+)2KS4X30X)*7Dk&y$no(nHC$u)GH9!c?K zIW$Q2a77R=%dpJC#KXebzFj9H59=D|Z!H#1Axb1LFF+4wawOO4obf;ZajOBgq@9oB1zKh+#2VfRXU`>{J)xHMi~ zkgIwu@LR0nBeguoVU1WthL$U@m4~d_UZ;p!wkIHaPz&cr)D;!)lB4$KHhr?f!##o} z3F`4GWZjPYGAFu?^M@I#}`?_t{r2 z*q-;1;bw=@ihKl0!jM2d4m*y2x=t@yRpc^m!ci`4{^5Y`WIXObJFc{%$!}g10HwB*?JJ4_uv9?WkjdiCnnINdBum0^zKJ_ij94EnGg zgi9F5=Z4aDDfA)Wh-JDPz4AK1WK@YKVayqlRyg;b(WnwYfI3r5wVYuB1g4mR~s<0C~yL#y&<`$BzP*j#!xclY=APxxgDlrYP9 zwx1B>&;NE!-3?Fketdkqjh&qkf5C*>Ern{I z$j1$xE%Ge*J~bukC$s2$%Ty_tPvqniVF6E1Pn8NlCzWx9_Y>>A5j;YshTAS(W;^8g zTwS)S$gAl4*qGqPU82GOfnr5J#*{>-{RMziL>%)vHW#X^sVQT>oJ8DZ9>4PO#UCdG zaebmnK?eki7N&Gx2S;`ol|S~Oljh~E(nvV{$Bi2|9uEv$PB$vu^zg}(CsfIi+#x=@ zW__oS+S=3U*jZPaol;nt?aMf0Kzfs)7m{=YOl{cUw=@Gh!fN1oFz1*XEl z72el;%?Tn*I+Kz#H#tP`msvyH{Z5Z*{Y=Xa9c)r-dk<-sv6ySut_j+!@@ggpN=ZrC zkM$_TPjwc!4UP3yjD7o7izg|hpLYB9Z6x@xR=k#ZsN#M3!@WYoYOKu6?r)k6PFeD5 z1&kEVTXJ!7ULN|8qLXd?lmz2*#T3B3a?^#DmeSkwY#*ej+oO>Q^sVy0-y-4e#*GyP z3sY?YsT+QGa44Y8Pnd;d8sF})bRv%y+vU;uPHy$M1gow>v&Mu6hZkpzEIM*Eu|LUe zM3*EFcNXa4vDcILo$hq2F-4lJm?-1$+sDayOh7>3uAiUQ(WBQ$jE{+l*--KRtA}z| zQFHF=l%qG-&0)O>GMXIiGQ@T|jSx9evdgO7dMT!P{PS%##egqgzSw{LD6lYOxMW*t zH(D@lHape}Bv7~Yl+;r}3;d6*Jmf7yyZl!7_S42bc{Nl^XPMnO8(smg7pjjTk zC1U+aHvEuNwP`0#xi$i!I{rz|&opp!c6Hq^D5wSqp{1u6hD7=$`@YfK*)?82zTXA_ z64DFy%zU`_)cZGYINosW7Y#jm(-4Gj%coBnVo#a!EDSxWKJ z=biSH7yeH~%=h#0smLt-NZ%=XCBfU9V$t^cWC>$D#pTP}wZJV2NJYM{vB8JFm$Er+ z(3|Xec*;cbu@+meQ-J_TX1J zW{zGlv&IwmcZ#S1cr>ON$`E*iq|nk?S`p0O3_O$xTm|$e(U<2Kl{Vq=xbRe35R%fj zZ{NJ~rCT;{-5UM-?`x{UBpMPIS`Y41!1)Pn%`m0G$8JBF>VvZ9m6d(oKjMi8Xciw1 zHD6t$6x@y!>&d;7l}Ra$&(}`mZ2)KuEwY%*S9e;CdjjS2#;?J(n!$} zAyvhAUlk2Txs3O51GM72IzCA=D)k-w_%b@+;loUap))7L#8pwLsiSNo__uc~_A85$ z_S*I9?c8U-kJreU-RbYZ&7N%_?D*YujfZ=c`j zyuK3B={72za`xp>poA)W>3iFGZCxV{pVOM7TnI4*E}Ht<63ueR@nXU|lk`L^LqHFs z@c#7l%&b@KVW$(-xb8Cw9L3ev2XHAd57ks3R-tFpqQ7hGQ}?wcJ>0+v;i?=l=wqqw z>nn9g$F^5=UtLIV2{Q|fVe_0hg5pud0wt&__O)?(%fxJdWJOn(OoOqDi;Kj{w6|~H zhUP{(;wd2JNXFMytE;QC%*zM?=8{7l?eu46>2Z_A$uuuhya9H=!!xORi4oFnk{f-U zMXao>0HKv1?l~F2=`r2m)Y2JYAHt&4qMBoCOwdjeinh46ru0jvJZ3)M_B}EqxNFTp z9^~TcSEc2MVO$G_?3Msm0Jy?li$4wo2YY@kefw5C6Nju+(rYolq5ssG)-07CEynQrVXIE5t!!*oD2oaHP)5Nbq*vy2(lPZ0qwv z#_zYKI}YmzIetCcO{JQmn(BXSg+=!@j@xzcocH&M3HzPyDL_gk6%`eMyt*HJ*kn4N zYp0hSlapgYNz?G!LN{JAtzgvx!uuXh&bKR8t_;ymHwnqk78gSJFiLMxF7jLu%zv%; zX#XBQzG_ZRPVrQs>dGpuyxzEi~BVa&H>#qk7t@US7+zsgh<%+iTl2pD1E>o4@^{v8sUVX$NZEC z(tr@jp(ImZ8E@hYLCtk3!KOJ?pP(s?z1Vc^}~P#4Y5i) zgn;75fwG?fKebE!`1a;_z@2;d@;-Y?ddy{DzX=$>4-^Ox+;B$Jb>i}Pn%6=FcG+Vb zyig#eY)$U8SSRb8uxYg_4Ns} zcV!OE;6VBK`T0@XbJ7)5R0=;&?Xv52{x&`?go;@Z*~A3pRbP6|VIjbBF`&CRWT?I$ zv*RU?d9Dw|S}py)nWGYQeAT5$4-?cMMu%rUEjOxsWM0L=!9gI>ox67hk@7|A>gos( zi&F`g+{4XHy){38=(^{?fy#E9QWo-?CWu9}53(v+c%1`$$5Ofz0RjAA&&$f=HvDQa zzbESFy+(z4w?U?$gwYNedmLB)1OaLn_S4qw+f7g@P#=%pX7fCF`0!zs^R0|V*cZyU z6J-QB35UTzfj&jqY1|wsCGPzGJ9$~0^Y<@tNVa`If{v~WnRFeDMw?h9FXlQ7nIQN3 z;2sjyV(+>PXEqCN5S~P3CcaV4ao9HXQAcmzFM<=w;h5+14A_4!1uyD3JV3_LP#6(AK>w!cU(*C1;}Xxpu>Iy_|Xi)|;2R+SnpBsmiRa8Vt!HqDN!ma!IIRU4* zJ*257A4Y*c!=zm5O&9O&;C~`uRPq=Hor#~Hf9o&5oEym-J)CY_u|3|!!1?n^@@!EG zog^p}(3>TayQM{*AOnLv2euy^0K+a-7@IukY@4x?+vz)Rryo%Atc0pL0QoIG2 zB^DIR39qGvtYjrn&&49ytA3Ky>(6a-qEPhMMMN~4hu)f`x4dHR*|3tnbUkI;278;; zl;V|G^0Y%qZr~L&04DQ!)&yh0|%5*T2|&=qfm0Lf!y|9|Ft!fr(*t& zk{XH@O_aP+&)1xJjs2xOY8+YJ)}{+CtL)8Py!`4vxbTA~m}!*v_F{IMmC8CgPkdRW zlm5K9zQQCuCztjkz6(BesJONJgWl}LY`EhtkN}HZSDPw`EQ0&0P z#l?+S+GNbW3(yr@9F_pjSLWCbJXU-i@D>`NcwbQ(_J88$CE*j(sHgKfIY;SzN<=?* zz`WwLo{l))O9}5KJLR&^Y01{P@5?K!#Q|Tw5!xI4zf>Y>IKb;=5*GT?r*kb=M0s(V zO@V+^RaMt*+7yIyi8PhrHfPqK1*EMWr(CCNRS=7EV&%$}2smdXokqfpA_$xE@YLZtM8O2m5>$k> zGpL;(p%T*yr9I;^F3{6aQI~NfTVGp*QiY9tKyStYR3sv$2E>5$+;{NcX`IRrgozWn zR6PJLwgEe`3FNeb8W1Wr5{ZQS1O)|aUaus}FGL_Z2<&V0H2^TjDPu>0xXV= zjj4e+e-*ZugiZ|t!u@J%YnfA7X&<_E;EUyMlFQrzZG zn={h*7GW7diiA}^!}pG&j4rorK>!__nyQX{e>LnO2y?4awcqdEdx%GwT!DA?C!nh%X;t?TL(6;c*|vr+D~D5DK6O1QPBVa5Mq&+_zadTvC&jmDRQ9 zfxJD?AR(%WaFmzl7GXv2-*81#H^OOoR@<<>G~_&Q*p`VbX4ADtY;=hx0oZr5!$SdTZ6btHdpzc4iQZK@!?ci7XdYvvC|s#@!#$b$Bm zwj3>I+oY2VMSO!KpiumOgEIN5s;#4JWMpu^rT*fqPT$nxE4(kII=gBo{_}rK#q_?N zOs?0T^PfUu04J&h(5QNb@g0^m4<{)upBod^b8>%VWC({#yNPNwe_jV!#n!H(V>}vo zv!bb&V;ajs@#cau@H1le+y&O2oteqb-M}u7qQ9<*i+w$bTFFYqywC0(`gu>qApa@n z)ja6S`(j0CRZxFN z@v!3|{hF(xfjgQdRFk>VzEHaUHR?#44q9`#T8a#UxGXx z^TKuK=&~ee60zkznXXm*GM|Gyi-+(39ho6;Q7G2xtxe8~tdjH+y(enb`E^i@vYNIk-pjbSxfOt|B|U#+Lvec)7}zryKvDRqx35%2s0O*gtsn`$ zYdfz_&zHO2JW_i4IQ;UqNy$9LP0lhnE-r+Iz>l%NILjHMp+#bUsG;1jv2oZpK(>9# zQu8}KeH^V~855s6Y_#+%P&%4X`Rbi!vRDYs-kYSGe*5%?D=Jtai+Hy~dVg(#bv}fXa+@CUJ!qNU(pcc;bo0iI z>}mW)h1#;aC+scRc2-WyFrkq@~!oM zD?&3MtcyZUOahQi5| zrKJ}2`r*#qKLTPDQu&rq{5gnIg1s%D)1_nT!I?2f2Re!O*|`X7o1Xsj(UqNw#dj|j zyDg*079N4i;$rB$qLWrIZpYuMj&}4Yl=YuBNaDTJ4#kWGzcEuAXu;cf{!ye&@%}pg ziw}lRXNO)}OoqUYc?p%uCHtgEc+Z7J?VyruQcH=A1NpCx^AT!rAR~9Y;wy z6E0zQ9DM!l_Kps~vZU|br9&@ESs!w8?b)LkfQt$@*a1cl{JU{(WlzsVuDyE?MMNT| z2Pe@yGVSY@<=#A?{fdyiMDH8PA6FqnB+ikVwe<_vsjt+>H70f=ex^RVZVwD_l+X$?_fa*|S!6!@M@JP$#n$~<`?EUfDK38Amb+my z@ed6hFP_Qh+g>^1%c2wR~aeL#m%kX@-u}JC9D0? z?iPZ%xBDHu4WyLXneW}2udir#xb%n5p`H{5V>LO_p$n{c7E4usW9?QrO1LzWG!(Y( zQT9(uOGC-u_hpcTGD_Apyb0NO$NgASQ1wx9n}F>!K#WpVypKuX!VNxy`~>nd#6!aB zL2Zi$NX~mNa`e06ll6RV)%z_c>DeR>rSOxjR;89jqCZ&G~Xb|uhVaG)<`;5Wk z9^%?6EB!kKTB9&Nx7NkR&$xW{a7BCYOyAEaR9wzgmrh3+TaV0Byk%^VwPMS(b|Hg7 zKz^W1YJ80h<5miOn4A4SmaqSRI@ta~p;>-P0h|wcDntYL`riitVFmC82YGM@2d$@+ zxviK8#XjTA>lh)J**XN73X$2}hi^p8AAS!l0~a~)OQ2KzJr^dm6zahNPJ+kJ$)>pg zk#d+Ob~#TrX=R@KV;PZ?PDxJ&Mi(IbJdt!rnwy|@|2c@g>hTXO%8LE}@S&ZDbn2(! zVct;QEXkZDHrF{iKtylPHx>Jx}!;%pJhSehUg4tSQ86uU3Ki{)E9 z7H9ikwOrXLWa2Y5(vggChbsR}Dj)a_1d&tLs}>}YQH4E!IFrz|OZ1Ah1Ifl@O@#)U zKY#xGlw?TwP*VARmfdw5k*_#m?TQ=qe;=Gx&k#pnhql8A#90&Pts0 z`gC=*o(2LFGWj(FV!uH30u@h;btrEez3G+{#}uB*1F%#TpFi6f0x_Xo8W*!lIY)> zf?$ew5|(eyyzp*aQ<|Y6%w4J=oHgQASgInV+XNQyiHgd~8ju!PEI>e*eRv-7`btXx zRq)}%hYm=#@js2Tt^;2@mjg32;q{qz{VK#M1^E-D?Ifn1l|15VlD_*SYuPCh<(B!Jun(W}8BH9|lB3|x{fQBckJ@F{P{KQlFbGa+8&?Tb^Q z@41Oe&3w8}pcP7&L}gJTFj)^}6tJ$se zK`NkEFZcyQDeW6TrSzOnKld`85;+~r*oyu@jv%>>FL#0X0xKI4J!A&=C)^PIjZ@G( zdBEoeXr$^%fKoGs%gL8YXdw7F8eQcuuD0)oD~0KvPDmc z!47xD)C!u}2@1Q6e6xu2w{t|k2g0buj|to)R?U~JKV7qg+?j(AJptJ!2}awo$;qm^ zwgLhKE&<(zdXcEKvO+D+q3mPvxFMF zaIXjnh1w;N)I~1;n$PKJm9D)nFgvK*o1DcZV-XA%!Il}@{+pNQ{ID3WPR5B6Mg^_K zW^H^lDi+N+Wu_fktD~YgqPo1XUC8ajDsd;!*ha}H4kWr|%NA(hgN+e@&#;>uu+m*mak(jkSi{1S;x<~Kb^iSM zB&-gnDGG#j8#Xiom+9;2cS;&&<@Gp*vI&-)Fy+?rbR74$?6)d!Q0vLMZr+E?lKSGs zL6OU~vT);AucHEj;-N$soim_VKWdY*=q-ffWC3<$@;C~Y7Tu6P1`LA!6;WlPXp@k+qERrIXSA&pBlIOb+8w-#CEDmpVeONGzK(SbzXY&jI# zs;Epetv?@SGP?M0MQpAx<kNN|PEJA} zt2kBCQM7)Ix^#Z#+h?6Z_nhuo*tQyBl7TLrXwzNtMBL^Xfu67C@Vnn?;2Yb>BB=qk zb*JFP-(k{BR$4|;u(zqH$CDJf@ODku`hLPKj8w zY9Pos;9fr65E{^)!6_nprF0xNFGa*nYbig(Zp3K)(|;uzT;5ZNZjz2)A9Hf^@}6wV zveJTR!`#5Hp9=~i`8^Fm_6V(*H~^_inM8DAxWs-YuO@7za##8#KgcrrTI{$D3cKOw zof8M3FB>4uszK^&Z*Lcd;z@E`9KT-nX=vz?>v;%ON9oy%w+%#9fuqrcVurXCR<2%s z=p-9F5Dg-L7x-#lmz!;P8_FNqcDuur)bPH{(=~ydUS3`c@U^*U)97b*w%t+vzpV11 zT`#IK8i@Iq3X1e?pbc8hjVE@0bFJN)>u+hvz;Y$s!YWT_!Uy7sK=6GW+&IIQEdi?; zXg?m~ST?uu*zw~gu3qCn7H8pda*`^VAIXDJI6OG^=W90OH50>aS~#<{FO5o>E#StYs3Sm_KCda&x;pY=DG(NgGMf)it|3dZQAP-OoOR> zw4eLe{8DRmu0BRV=hekK-7bj68u`vPpm+vAnLC{)CxGJp;|4){Fw8@i;8K9v+yr0a zQ@G1u^*;mM+R4V@=j*PS1H*lMY2@o&Xx6k}daR7YtRpuQ8>uNll>^a@ysC^}{JQ6I zAixHQ`{bExu|sY!Ht6Zm&=q?TI|3@U8j?)VQ;*uHBQAy;$aS!H z;heyY&p_TA;wSLI-J$AvV2~bFP4WWoA3oj@cc7bN^Xr67J(HT|`jcjsnb`i!!GBzn$7_t`OU z6Ruzx^%5 z{zLHo59Fz=Y*qqrCgFH-0DK|+5>5naH(a4|$Btb_c1-1=RUiIFYX-Ix{tr%}L=<-_ z!vKgM0=d;E&~U^Jz8PO6XajrqKU1WI5Q&@KmI6fh&vhD2ZArhBeD>u9U&nu^c_tYY zwXp zS8H7#IyZ1Vruc!2{vQ0gb=$uJiZm+m@Q-i54S#(38x+mTgScfvN0Kx^EGjCSVWd*|X<3WSELs0F4GaBjsDKlZmenTAPg&qM_Y$ z6THhO$8oe9z!WD3+><-DGyxO%1iq6)XmU#?0xnd-#Gj&8DSz|kH^_UfDC*))Me@N` zQyMaEUK0cf^w&4qlgR{M!u4h&g@hcC+(s_(>?48W#De!qS~_ES>QULO-$`W$$5U&L zU3|AHDglSlPJMKO4B#a)ZJiwumUJf2b z;*PN70URU{+41Yg&)e!dIyy)N44Y=o3rTNpPu>57%L4`jj2ruB7&kR^e|SaDN^r0# zhDDv!oGKG_^u=Mr>Zy^c-8zp49cpB+p)*QymEK5aLEh1$NA>h~7XPIz1hGoH?t?Ef zK;zl5wOAY+BRZ|0XJXqv95xhjn&-|%flamTXk%XPa_6TgurBPsrbzrxN9F%?nf{kL zZ;3Ey$&nbWuTPg+GEdHS56=qwi=kak_wiGfKD1|qIw;DE6))@V$t)X4i%{$ok8~C6A10}zb9~_-rdXT*iNCeWTM9gy;O3c zVpfg>JBj~N%lj407y&UbVJHP``nRkg;D<^X&h$85-PhSM#}SFd&? zjb?z7@&Fr4T5h9>Cni8Jj92C_s)clAfz}acmG@;XFZh#=^5P(Js!I41V>j2!u+3>A zQNy+dwl4#oc#qlMVA7=3Fo9Z<8*c@a?vR1xN=k>*a5@X>$6>90EG&ehwAyy;ZzWkh zycOQ*N5}^Vi#Z8`6beayCzci$7(gq+^Oua>L-;Y+j-bcvqbfE}{pFhZe-JC^746W| zlcrEUY~Q|}l(1z;1c~@ZA67n%vu7XQ+rJ!!Q@GE(mq@FQ0_lBKpU2*4gy&JA9!^(c zc_A&PK-y}kSTjtjb~5nkiTfpEJ*VIf7Y5rSjUKO%*Ox>hVA*g1^w`~!GX*mBFGeKC z@D~6sWw=<0RL!fGT`N##26%&-@5^943Lqlg?mO!`G4K>E3<_#!pCd2ap|yfi%s^EA z(^3DjW|!SU}|{j2_T%>r5&6ObBVzjD&=J zq%*+M(*EGePm=D-5X+)ufA{li2K*BWcLZsQcJ6)~Im#!n=-GUE9jP$FXazqYcHzdC zM)C^v@U!fPit**H?Qzc*lmfQuXp;rC7-@QfIFTW!e!Z4N`Ly&)t&KidRxs4S$6Bx^ zy60J-O5qR_69ai|3R?kF94c+!kztCS@2TB*7~2?e^;+m532OzFn}{MZH{n;xjLcul zhsGGEFkUA+y9P9s4}Q7((*liV@<4#LBzZqpTRS^-KUQgtjLWJdbOikLv97Fz=Pz+@ zq&tj|6z{EQqaY9de-r*?uj1e`6JT8(CP5PpXl{~yr&S^klcrQWA#UJGJV{3f1q$WF zuXs1_WhRXYs)|ZV4>|E;YHYB9E!K~sM;rx|l_j8yfb00;Uz6qtJTE6z{O|`Gp+xrm z^3TtuR2#Lp9)xk+(hYR%6R%Q(DV%4T5QfS1>jay&7*VF|0dVVbq> z1C2pZ5G>h;rjq7nyGhBh3q%bP4drcae#q9-Y$W?dobvonG=PGB1gCZ4mMQ6P4&Bwy zi^w4-d;2fr{3+`sLI5*z} zTVcJ@5IM+unemUA@4o51X!~(RY=oZ#=2~c`L2woRbleG)>?0lZJ)mfYI(&y=x#N?O zDNif)errQHdlGS$bjrVb`!)ejbH7dosxDYF0xk-bFlz0%ns0~QNp2Z1yWBR4RT7f!wb_86+JV2sf1ti=83&@ZNi7r%n`NYAh_3uobUqVX47i7Gu9*R z61cUuO~$eTRo@&Gt_DC8jF$IHLI{TlmdaPk1w&{ux&&DyY>&acmddx9uULTMOJ}{o z+la!vT&p@P@{p6tAAkH|Yu7z^i3i?EIRkQjNo>4a8>OqWs%Ug3Ufj{vmqF$_J*(6{Q2*$S%gx=^!?D7? z-4Q^93*TD$(J!Mi438|C!l9~Jrhvwy2k2vk5MtMm#)8%WwAlr(*ZkvAz1OIPXecNl z2Dn6sYBkcHgM(S|a3^T-iHU|&{pGpqlFYmM!Os&&M*{NvSF@RYIJ$Z_$Dbr}|2#7&@7KB5w<`36->bv@h z76)EA2`$@C&%e2qlY5{&=K5-S04CQt*o;J6#x6p&Q6i)r<`K+IkB$zGh3OT#OEd>n zb;azOpKLbNL`AxQOD8>y8SvZ^PY>xbN4$Anv^ZDM#I?-juD5TS8Y+2Gu7Z~^k*EQI z|D2#jRH|?lX+i&Kn85r2Qfd~sO`joNe^^auQ#c}so~fVbs0rUP?llUe=^*Yg=cU5T zQgx(E8f-I35YWuJ3JdybB1azwdEUALM=$KQg^)j+VidMw32FptGCS5b)I=%c6F|?C zI04}~9&OyD!5+9r3mAel_{U2UOOa-(o;GS;!qUO9;?d#t1%q1BNH09bXMn=j#52GH ze#+d&pKV*z8WqJ34mAM-OMxfJR9^qGi~T;9UT9e|xSC(ChR9G@hRoz&6FzRJ^Q&mzA{Xk-G(uM~NNw z!38+o;p<1z+fT-zu%bhoMaJ_-u0wUG*eOWok1(!)#i{)%ra_3u5qt?id>VZt#)!_W ztezc3TC?CJ79g`spnGxvEw5*K-#>CdKPmA5w&pq{$Lt!No~Ri|^}ZjcnYfmt{SGIg zf{^H&9fdE#pB11 zmGhpR3KcyGxn9KrZ{+a9N;TKsbR*+I*#PEoX{eoue!l(9d}1IrY4TklHwU~;O{x02 z*vh_C>Lfl&8Old6TuPv~VrOP%blv5jCwna|!XaOe5~C4RE14Sub(6+^lT8SSYFp`s zpbL@tBo>Ug!#dr^PsSS?Pv$VAhXs(Dm@0j{j|32{wUpIO8Di7}@*#~0Pfqb;a$KlpQG<6Yy4FYB=nr|Bfq?3)dpOBX=wI~O&CbDO! zRbe7&XLvJ#&aN|lQe(ffdQ7O2V@guAv}=a?$A>XcQi=H8U_1q+2{qM95wlPW+F;g*?T(_`Mz z#o0Ll6Gxi$`+^NU6On8NF*Sh@hCqt3KrMs~BwY{@9#h)V^Iy{?(MQuQf`|VBs(I$6 z8rA{`Ay3e0MM@j$7<%F1_S#F@Gf58_81YF2T)T2P)@+;*H2Cq7Cso4O0m2bgNh2a! zD!Faa7mXIxuUAB2{wh7(5`#}(?akffWN z+=Q?3fwM1U!I_cUCB6wPh&Dd(5hs%oxhME}4GHo0Ayq%w&~sJ}A*||E91ycPfFBu$ zLJTVCK)5_HP)9rsoTf13=)AmelMHr2-44jO=eOF5n#H*x{&yuMNn~%1k5?QlxLo(F zrE?Tx1@4iXz!^2gJ(5rA-jYQU0KAXtXfVx0_a+!M1FT4pz;QCwg~Lzk%fJI0TtCbV zZ(p|WFmOIX93*IQWnf|oNf~}3VHbxWpN6dhB4D^4dK6g&1zUG*vK8QOto;5%hcw<} zH%vmf8$wsi>5CU*Se-x7VMxc4-4iQvb4ad^BkhTJB*chW(G+nsbqo_(xY1A!nS#jG z4H*cTgvf-pX7hvXTdR2*p`Tk{8r>#^FtMO`2B%HuC88V(ir^ zNZR#yR0-rli9-lxoW2Aj*m20wA{Ij^5`=liNvgDW!^4cjnuKM zRBe`Y@9T7yLihz?+#d#Q&?YNjNp@ji1gr$gbGth*l&2v{lPA6zxuTtPoqm^sry9@g z&37p{aRbrYSBV~U4B>!QehJ+r7XZ;QGHCB!GKXO+`bK!#RvF>iE+BJbz*`@XL>%O0 z6P#L1F)5rIITuBN1U(5CIZ@r-BLAdddBbjlR}Wr(rU7Ch0XLZJ{My zU0skKBu=KCetOLXV(xtbtxho~CnwC}+FUw;1>S{v%MSabG#B>SlV~hzu*Jt$Vq4!A zC^;rCABsmCic{BHyZz6{KBMDUe`VN>Tp+xXCRO5bFlt3&Rz`#j!E`BszNN!#1O;VO z;z5MujTW{grhr!HySc;QUQYq44i?UD{RFjXb4H=NUyn%JqH_3*ndU;-m7X`KBoB`*HaXQ#;i3X6b?Fn>H8;u9m^ zL7TN{1n7;&u%=2hiJ{UfotRj7g&=sK*&`1b&OC0Ow*wK-htm$*iu6{Ja4K9tRvhW0 z@i$nHyM>v6A@0$r;avbu+}9X0TXPgID|Hpab^iy%*jEY zS>9)X^^8UvF4fxThGK6MRRvpBJaZJ$jrau2%;C3LgnN!#M5L(>4PqxtYkp37khJ-7 zBZlYF=jqX|G(zzsv5-)Y5p$_HMPxctPPXRCW<)ev=EhW%N1PGCsXmyqh87j>Q*WEr6tp2%I)qEV=^nh56*b66UZHIw5&1DND~m06s5BM{Zp zRN6vl0`Y3XW+HGV;jHaMPb{p+<9<``hTs2KO267XBp2AR09hv$%X%onaG?|NR|#%` z)7Wl}=sbtd>`|V2Y^UT##|TGv9@bO9B5#%$NYOEjHm?w#|43__G9v4&pgu^1L)X+!l`!cb8`8 zCX5CKYkVqmdkuJD0K|rGzz*R>)FiwhZpJEglc?rtWS{o$g%F^L2XsFOqZps7{OL7w zm3pJo(#ggbn<5r-v9O0&F5y8&cRLjViIW}z1D9R~{d{Lt8cG7&b>)i3A{kbJMz0}H zmw=81&w}Y{;419-Cg|&$nD$YCNkwp8-UaP!{bpy{0t>jKif>+jHWk%0I~El(v`F|` zO^vn>C&51en8~D)5i<|GPjL35eX74!7{`o8dX42UgN;VJquJZvHsH{IrII6`2z8DaBpNstBISC*@c76aC(z-JbJ0`i*dXpZfTZ{7I>fpMD;D;r zB4NuQ?7b5CM5f*lV;C9oh?w7ub2}c@dTkg}%o;%tPGEdgBGwVGEAaMh`CDBr$xAth z+-F{(oqEujm5q%bNuu4S!DAYl`fz~$xh-o5Tjr;F^ zT+`KMh<9%SLy}4SzOdA+G!Y)ewez6I3eeCo?z$n0^0~Naw=<9#iDMN$Eh@FJto2sl3V>m(Ol;T0Ms+i&NB{HA$?S;OUERNH4G;dZ&*5IX%agA5YdWs z$6$^{EsCe`I2b!ID^6~(H8YvxhT;6XX>bWFml9%!y!b9TN}^O@ zulEN=JBztP20_;|dNTm&$iNpe1hgsY$a0UVmP^eG-7W~iD7Ka8rM`JXC(5+yI!tPM z*DrVWj>U9d`xX2fnuirno@^pQ3t%>?c!E*M3wl5pp_EPrNkPyT(9bhc7QnZr1zw+7 zUuW1ckGNR?0QJF35Q6 zU?1vW0t3e`A~lBMfQ@4JZI$?S;vhB6Qt?7uF8y zh>CvpOc;Yu@Mx0}x=7iKdIfGP?u|@>$8hzUC~JvZIwvQGigTHUAyr_7>%!W3gG4d7 zgcyKHLLu`Z5t#RLamkUefeIgGO+;wtXfr7U$m}NklZ>ND{z?Ya$$#7kiUYhTJ}%zd z+k40}hZV&lBGqriZ1IL(<~f``DFy{Ppy+&EP?k@?*MoIbBUU9iFXBT>V*fELgIX9XXk#^XE#u>CXn(7JQ|t3 zO4@&L3?zL?O-?EaOaeo?4kibV+*+Q~sH6LoUJA;VCn)!brIRo%Xd5KP-ANDyW+-`q z$LAgVv}M0+kQ}>%c7}IU-BEBGW_T22i)t3QI^1UxqQU z{^xK?9B{aj00+s)RZ@y$m~XA=+YaL32RUKZoEi>3ECuPMt1;NA{*h_|wo3}}9smjx zrVOKs$`^d?>bw@m*`yJ5iA|6UVjV_hi>@NyU&ydg62rQd7PElIS+a_9H-q8Cm>N=T z=OTZQK>`Rf2B@aW$3%z+v9B^D8eB>;!U=J>6J|{Ox&gov93l!N2OzT8fBSTVG)$-% zo$ql1Ytw*2i5Oyug%t@w3sqJI3TYVJ$JvIb%?W{pNPLFOr21=e5^~KM3|!(;AdMyD z?CSgln%#8r$Wd@E7y>bbJKOu(%Dikbs@24F5#qeL^s?~gYbfv>^t0n+wEf}K| zn2UJOw1_b6RCx&9s6>P&)@1?({(xQn3t1PM-l2Ku%K~5(_SY5G-L=Hyi==errxrt!j zK}_AiS5M-#aZNtjAGaST;to;!|BFMpv#T)ViIlGp#hNkS`7{td96@wq&#mCgZv=Gt$9zVLg9- z6agter}8$#bx4~q?6No>xkM&lkR%&<*aMRu0=wHDz-o>(o$yy4E^}{|CX2g&TX4CE{_<`t*0rmnRC%^Fx1Uj1AR66pY-iGYv{)JsM@ za4Miz(5@2tfeQ&IM1`9g;xa{0hh3`~dmrP{aA=zfJ>1Bs<-2$8)Zq*eVc<{`nNl^} zl1}DhpMi=^sCFP*0r@O83Wetd6MWwHh%=37>(Ii=FufQBp^b?fdVERb1B_}c^710y zf8St4!1J2gZCdMyTL8Gq5voJ zU>Yrb>aair_Zv%m(t~xt0d=nj2AMJ$%mXx1fiEy6+US7`Lj;IM4v;i+L#GolaA833^sTn_uvtP&hIRZJ={G_&%eDS|jRZ9^ z0FlfSC(0Jlx?p2h85e_V9#v&Q_bd`t48CQGtD1wQ`B6Z?uP~XHPC!){Bu#5N$5CoQ zXEZd^oA>k&cVN{Ll|Gfz5uAg#hUCw_DMYknbO zs;_lKp$FE<_Qv?caGnlO$|UaG6pxoUph-qW=Dp|!*H5;-^+s~+iXj{@@SM>A%px{m zG$CXDpN%gS(^gD9jeMdl;J$Ii8a82$8^JY%y2S@Q>b@RNdJO=cRs4W@;#~+m2!1RX z8Am7GQ?+LGDH%p5y?#b zd8xew_9D9wIe?r{02Eb1QZ`6o*c!1M)412vypddL^QAbz{W%yv!&A9yuFNY29iV2% zoC9rw`0_!fU5!F{eh-qi>?YEuMluB9Nda64z$BeffS$B$Na|R|6)9L8QacbIDB(4p z9QMd1KtH}$dg;gblS59ag?oqcA z^yRUwB;-n5ffPamK^U1$k}E;>sKvGcNMlQgAGaRG>;lr)f^q2t#*snYU@?a?o+IIy z!7c9k`Q{D{cr3|7#JyL2e}W<4+72V_+6YgY&?RW|R_Ak;5Nyck3PKYhP90*!DKGml zl&*%vpQ4wehSExvRDH0G5T~dqE5?Hn4=Pr@5!i_b%nliWD3OPa@q%*v-^^+Mq?Kpi zN2=XdQ3}kjuMcxk_F7_M`y~1rNbf*A2n6wtc*yK$|L(D-d2o>S{_pz#q*$WAcd%Xd UkVsV^N!bc=D#ucfp1bzH05KK?cK`qY literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Road_Surface_Conditions.png b/Vehicle Live Risk Prediction/Images/boxplot_Road_Surface_Conditions.png new file mode 100644 index 0000000000000000000000000000000000000000..a12b17d5565b46fdb91761fe048776b1b8f1a1db GIT binary patch literal 26160 zcmeIbcUV|lii%n$Py_=gN)iwiBpFc2IVTkX0m(r!7*I=4^r#>x2UH}(QOVf| zA|gl>Ng^OgK(gdF)}gw(`rYpL>+jzC-tUk1>g)d663#w*uf5isV~#QA?B7+CjxA@} zz(k=?mdhSLqDG<2>!48P>MUM}zv*ZHz=i)2b&}C>Qnxj8I(O2+l%jaj$?mMJ(^-pC zn_WyD94%~Zg!%XL3-N9~R=Gh-C;VSmZy{-0cjmX->v#W}qyyX%O zE>Ad6;UK#-^?B|cxst5DJ&Ni-K0c}Z;qMZEH%eD7G)8up&7!qQO&rtv(~n83++zJY z>?!UlzQ4x6{JXGY^=OEd8CwC%Hrxt@aw7JW)_TUDD2ws9_~-N7Ihz=N*tj`j9{IzG zdGnnZe{t5=mzn&*clpY)Iphyd=gbu&|4Z2`Exm~R?~8?hy9nj~UF3iNns7h;_U&7% z-Ts{ET^cbFSFbMS(|!J?Yd}0so1T>CHDNR|r4%Oi#J;7#Vz{fy&8UJV;o&sVlOBJz z_PN7;whepF>ZEzaYtwsEuV1`yp)$onz2t$Ydci$$I^VvnTeq%RwaQ+1RMcZ6q0xK7 zI`zz_L#D++nkP;~yn6L&&8AI>eoNPXce`%>@xiAT=jUn0s&S3|`W1sObIS|J2?`C3 z3lTQ&`hMS5D@4e&wXcu<{w_~R#_^1lm)bFR)B!!2E$7#k#UE%Q7S;Wltu5w1MF zW{Q~x{C5S6jTG%?6 zXVBl@--TzQ@%NSNYpSfX%}=Z`@=z=Z6;a3c4?0b|_55sp-Szp|<20Lwxap~h?xG#x z8nw?&hugz_EI&Pxv8+i7+iU$L^62#qx_ahMQ4G&$qECtoASIgvz#pG z)3!PNM0zE`gM+V?QO9lpB$i9_7tL(GyfNvd$b!Sk zW+fVVo^G=3#@Sa^a8&=OO-^;`(UUoP)O}pUqWn$VZz3iI%hvK}DPYTM{r(%5c+a^8 z=U^k(W^n~qlc5$7%Jla9|`T3UB39;rh zx1+JKu~g3Vy2R~@p)p#CdSWg=?zMYki>e$yeiaAjPEgQx*{-^D`nB}}N#Q=zx;ABlKE9j zrPs=ip?&yqo8A5ts~Ubj{j?9lO%fg>t(J9W+`7*ryDDQJUtF}pJ+(dMx^T|)c(-Lm z)b(9j2{927n?=r)Nn?9g)h3(gj}8oTgPcqXXyIw;E^Mjx@zcj+q|)(iTdeUIQrwGeF9frKOAlJP>xm( zA356+u%$NB@LcC4t<068oBPnd)x+2(9ts`1hVuGA3ofLhqlS?+1vB^+3R>)8;)-OD;a?s_bDk$jzx0D;;7Ji!ut1{ioB6X zFIC6Qk|lo}D5-|KTEoH;gI_QeyY!u&KV7~pQ2Y@#>HAKnxI=zSOemEF(+QMpaPL~Cb;^bf6u+JvJ*Ozj4r}|N{s}X=k4H8#V43>;U%;Wx9US96hTQACL z;`H(vNcZ8cw$2up?6s_{u}$6+iY)c%}=J-7TCvJfz-N;Zri1*WKW$}mPyU8Q$(u|92D-Mn~ zDZD}U#c1~K7xy8c5 zB2GWuCaF6Skx&j1tiPo&Ugz1VuCj+05gfgByB~x_Msg1KHt0V-dc8bS_O?cXj^Of* zdldw7eqO-&e}eEJM{Sq)v8kED_NaNiLMkE6x~?lRy;1G$wY8~^?MhR~6*S3stwgoL z8=J_B&qYMT1K%N`)}uG`ShP~u`{DjKJX#4iBMky$5GSwbrQ0N4Tg%f`rERR4>Cm>v z{3F|NPo4In73`HUs*iKVrEpQQXAu>n@7!5)on1oDFx#bSq^C}T9?RpEz~SDph1`#O zPijrdiI;Or9YwPx+Jgth??yh658kz9%R%h&91^2q)uZE%1+ss^mm~Ej9V` zB3V5#=dO;9Pmjl&uW*P`}?a`L@8E1J$YDG4Ljg&P*4=P zoL;J>nCGvj)pXXnR~JEWlR0vvqnn;zjcofvr1U^<#$iM%`a)*5nA|ee~OhY|N z;Zu{(Od=Ak5n@|)5TE`UHns=x&hvbWPf;R#LnS=YZr$lD?Q{y=*Xa5>zE9sa*OW5^ zC!sRl3km2bRrlE`zvvz$H9_i!09N4-cx8&uPQA^E+GwH>F6kA(IryH3?wYFnVE?D% zLRK|N!zl>8A(CF>t~OFQB1frX02;Zy2hNmjZn4|{;l`!|0fGgS!!^c7scyZQ?GC9D z4hNb7LT&P=Mhr^!@$!Da39fx0;ZaTg%ej4fDE98>Ut?n-T=GG#^6-?>zP7eb+3q&UF|sXLzh0nZCeyP_$invU%Kz?i7 zOzvo-6*Au#f=JGn1I}Hi=gyl~0x`3uMQ4-r{57z9PfE#elB`&nd*=HFT?gbadb0E6gRsjsh3!diDb8jOIvsd3q|` z-mdsTxK!MPd6QUcXYl=+qj)__mM<4szG2VLxRzi2Em5c5UW-Cd4C&%H;F3@yP9pra zqBjKv?x}qZ*){X$&%dYo_^4s^_#9~)K_HX!qd0}++%8$N1j##Oe5mvBF%B;cVe^ke zL%Nv`PcB@z;8bIH&aGje$%+=g*9wT4Hu$#VBr}q541lHAQb+wlrB8-g|3&n ztIl0J$sl&4O~yfjEj0WE3z7?m9Sq~g(9hP$Nmqwn;xwu@}FSimHL%W0Tmq-UO-X zUx$~j=dUEef1_=VDj-s3mUFj@X5sI_JJq+>oov=ED#@awCfK=i=LT_CyQqh`tcW&G z5X#>sdwmQ$&_32(pP5XhQiYapE9K$QPSOCN)JV0|q>rHPL5NWgxxDIJcXdg(O98DJ zSxDAxMyFlF!zMhMx`vgt(^c zM)bs+H&=>SR(6CM7|x?`-Z;2OWiisCa>@OD1j1K6GdY$!HBv{i8=z1d>$Q*v4-#(P zys2Q^fd%01!W?o+2F72cT+WLUF=5DpJN=hFcj=P;X zbLPfq?j0);W7({+@AvQCycvPK$Us}DI7LpsTbXE>U2Qd%SzF*U*?+|*vu)kfSbMm8 z+gikH+sM6>D^WN3C|+&(@_qFYfDndK zGn0dBO9ma7SG+^{hj2uVL>4`LfF96tCEWGflG4B(tUf@)L6HW=0RVeP#PfNfaKF=#) z>cZHZfTm?ACAh+*3{dKdUb}Ha3&54D$nk-@hQ^&JrLedt#rp(4ZV+>dxxpbti+7$b z^_hNr>C*hSg@xT85A;>;Yw~gIB}g-_^3esCts7aKhtDx%UlLEo$u#7B63}>F%C& zgH7~XmA8Ep9{WAZgM9n|D0OqT)MyJ1^Z7+@eKK=L$f`%@)xYa**Yg&yUeC{y-nSrA6Lnw7J;B2sBR^D6oqDugnU;XB zZtY^DOpOm$TwcC0#cRTa6y&n9vZ!dnwZor2-JOf$L?{85ADA7bXVkzn4C6I&Z`smJ9UUAVuDZHv+Ym5bM_>L-HK|LGmv-Tw3ib}b z*W%Jr<@9<7|C){q@y&Mo_jvxYyUTC*#nIEv#%LpJY4i`;V_?E!Cz%WW#)bI(;MdJ% zUsA1-J+0eDQs+{F{e77uRNn8;wl4_IM9k|%APC9R@cPw!h1SVRkPIVwuH!93a;Lxb zUvGshpv!OGTc2r^-d=KlM`w8rpDkzu0MIB7?_XQg`IxV~cC3BuKPvQ{GkvgRX{uFC zHSpsQ(ysgE_U|qm%{^Cr)RF3(tfe-2jT+J?rdl{=ZWgz_Pq|)0H}LVv zpo%oxCjL$z4n=^2){I5fIC0{uso_G!tntEe z2P2-~K_fdZ!Xu!Fi}9Km2{H25%|u#hb;w+^etk5;wq}xnE~=<^X+9_ehH&!Kk@4PD zO$vOs+dnkkO)oAiJT^1gF6HQzU;aeCJ1M)j9K~Q<{>=1&3QcAtB@&2G0d@uH+k7I} zMc3JMZPb&&^I}|FZwJRe^jJN{?S<~MrD=x)M0O>YN)A4#ol?tk>fCA)Fg-a~%4@8T zugpjop66TtjklM=l!GEy776gSllPgH3k#MG0l~)tU&pCFz8pDNr?uOFo`r*m(;E}>00JAsTU5DoTtjGS$7ZMmM+U$BwHQiAY7*ccU_o0yp3*}GQ@ z`9#Hk9iOzAYidvL<@79dobOrP~Vl`1pW$^4cI` zd8ghcz0q^9MB%VfG4dT)qC=~uyt}w-}`4GK%QhQf=w^5F({o8_q zu7_9H%dOKJ7)&54Zmd@@xQlP1`L772hCsS=*Dg8i4o&Q%VQeoe99dGa4AFh2cxqC~ z;UOd&*?fp#@nA$q?F{%ZgiK6|*lNUZjYK^WiP3sTz2~QY-@0v^h|3QhvN(?IAFHr& zNOge?-t|1KxJt5`^fTElqXq z)*{7pu%^{zJaYG~W9***mmcB(n@xCErCMoM(T$BsTK8jGd*|N07*=63ZooAB{9|Q4 zs7t+Mv+H;Tl~IZty@so_QHTPYY)TUza6g%An(S4gJ2Du3zzZu18>;!-|5w`xa2i!yM_>LVr z?w_BxC=^8ktFf{1>UHbP3IbSLI@9s=t5>f4>b%ax0)Qq5F=pI3(=!)a-_k{bmx#R_VtQ-9?o`+Y4y6o%46#;^xwk^wyJ^TGEDr0Wh zXBtEy2z&=Sy9Y&Ru~X2{(2$cbC@yti&X&GDTX5-T@_v2uS1|wnvFO&eV;?~Nd_etg z3D9(Qa%xHu^q&RTtdQL&FNivK-O-*wffI_#;2xDrK9p(gu6qCoA9xM3_7o>)G~vwa z@(X7tXSBOCTo?R~*RuylNaWzbgWGrSE~~eDz1$37)5r^l;8ZU#zWTFMGA-@x=7$a) zVti?%dv~INZTK=k*uC_;@wm*+sQU^;^YB!;F{^Zp2rRvTu z&G)}1Chh|fx`pXBV1eIG8PALdYkO#!pDOJ!39ItDE@<}Qp5XR9dn(uPXnnBKHybu6 z>KW9ax($6gCTtzO)VRVXy>1!X{<1x1KbPI%)h#D)21g^bo#yfJfw-Gc_j0dWpkG}Z zU%T|ycZ&3UeR(m;wkhvBg7iK-T9j-5wdi9 zPX~3I1_*-CCPh<}=h#3&Q&W>hyjF=gI6^QI62S%q*qw^lmpcLDWRD+zSGD(QVBo%~ ziP3%g>g_J>1mV&@JS>8PEJW6z{p`&8_a#;>gQZgY67^Dr_=Ah*FIW(QBN&2jXmj7l zYVsjLH(3F^4GP|yOBOHQjq)nY?d$nP9}2E-bWAm(*k!U6oEDZ`Ou3mzkUco{b7`-m zppN+#zZLvLP@@z=NMk|;oN`uq9f0IcaAwMqTBikA+s)r8fivKr2(6N~VKo79>{29& ze}bJw=2N&o{5rDGmuKbr^@TrO?q{Iz5HgJZ^(sGJg6G`9bFtQVBtu4lV3y4msX)mNCX*oDN zcj;^NDw3=Xv*(~(+xj;(@5RbqralLizt+f%K(UEg*No{VPDwA-f@n?|_Ji zCbiW`3~W4a?CUlM-L$i7m}m7-?UEiBo?W}%cM0*X<=~)$jg2pso>TDWT1qgUFDbOR zP0iCYhpX5ny8+ci5GN{(?JSrWK5L;2RJ0a#k>>uFawL5%X6$=n~{E{<8}* z)_UJIPqik=aP5W-yTFKp_p7(c5pS|2s&qV%+7ziS_k(=+d?J)^JjCn|SesVlHJ1?$~ zR6(Im$i6xA7IuJQa|f|K{OK4+XIh=jZO)Pq;bSNxszBRw$jHdF)nzf3X@K3M%=*M= zZv%n%Von`jEgZ$dEbGz|K}QP6;%;w$q)BvF?Er_5WAWfQ*|k@YkG)&E%sze9mDkPA zbu71IdrpZCBOeDG4Pa@`45LyH9bZJ*xVzw8kBffVkIG67+4f^++lF)<6T!?C2Q6Qt zrInYi)A`Do|5~>|KTS_(WtsJ6PR=9cW4Wz}Rs$&+!SB%KQuFd6W$n{l0n!(Vt3tz;Ici z?jw~lLFNeA79hpr471Y+MGZy>_K|GZa2j`XQ zHXuS>`O8_LNhkozQj6Q3M>59;EnTy=VZ(|bTS2M#;&w2`#o=sq87mxY;`SVr} zGZpfqnsxZmOOye39z5WcC09aH1FeaHwO18{b{I|^WggNjr5y^0319y|rt_U(EaBy#({ zy6Ve(dK)k#V$wS&)&m?I9I0n()lQx~xlWTr?ugx6Bj(lG!8;)7>6+Gq%JM=S{+hBz zYrfOh-+=KSfs~pqIN|dNXrG5M6jgG-8{EYFP ztuNXfELz{)Vq#{lMs7?Macd>`2&zwZ3X0i2ehl8(G53P+ndtOZB`qwl1XRoT__(KND`z z;KhGTFz?ojH>x=~rBre0JmQupRdwQP{804T_rm2Zy=1K@pD7+?bH2{y50;0F9>iPM zlT=ln6}2`@S!UbLo|&1xZLwzp=HLA&D{1^o$8dq2qVAZe8CSOFWxZJL zB*&8)8hO_!(nwSrH^c66MHmw$Q$NC4?Kfget*7r*`W313tj**a<{ahTw8uUI-2#>Zx+ z{AFcKBhOie9uD+Y|1x{kW4Nl7634dSz$(qw@JFH<*=HsxxY*6rmoxrt_tpzt#>O=e zF$q9<&sCgfm#I~?ncV%2M-E{c2CM&PfCKvvoEa@GEo)b*>=6jPmh6|9@`42k1HULZFTUZ0W*b5zlUyCudW#9HDi0#hO8J(=Nmm%N~A*raZN z*ySQV3=+=YuAQS@0PE6EDbR6Yj~+iJT#h^yltL2lybdbuJ5JtxV~`w&ATM>?IM92O z(+heziJduagQQe1wp`>px9>sKg4S(+9P6T!C;7%=xg`puS3S3Fk}L^3pk2Ts+nz66 zia%jT614udYEJMKUz=^9tCLYd^7Yhbs>7P|3DRf^j5LH_rKUiF+qBj{*yyjLE_Ofvoc z$`@bt_*h`|Gm}Cm5MqRptt3aAT=A-T_|{lbkVN4p zQy@uHYmtHE+^p;3W39K{yJDjWIVMNlu;&ahN+{CAb-l)iR3WfL4tkXHXvVc>Ha$Fi zMW{!!bhp_Dmg_8nuN)6>amfJi=3WLKUjVGB0>4z1sm}X0hqYtYzE&4oF5Kcke!0AY zBMJPlRI$tD^v4m+yuEuJ;IUfE^L^^(uV24h`IEICA6<^E*bz_98&HsfDWf_;_i=Ti zzPYG!bVV#U3HK>%c>{UTP3s@5`f@%;<%!%{q-@t$8Td{Gg#bcp*qgp++ZIuG9Cd{V z=wUv?EDiAQp9tayxij4H>2UejJ|eync&L|Q_Yl^f9mK(K{``6PnS$R|VgEk}wm10c zclZWZU(1E_IhFqrBG{R-e6!g`&m9S+d5!22Gu9R6O=_rGh?tMP<31j+K}3#-bvT#K zt?yRBM%dl`A~r;`IpV5z;4C{C7HPzXCl`>~_XlXleUeT`y$8YKQ|!=z9#^7s64+Kdnpu z%o9HjB9+k7MYl#HmweTeQ#6U34}1owdBRbNqezB4ko2m*a|8d0DE(CoHL%VLMw%>o zE?|(PDRLZ$pZdD_>De)WmE{C5EX`=JK{2Omcp1TuPv2!WMe^!PQYbF7OH7yvQcdds zHtv*^Y^0iQG`SNRx=YqUEG%fb@VQKbAYPc7vjJ8qC+1vveX{ds?~51GsI!1D{$7y( zCm!JcB1<%JGo)o<2M`!8BVBqB>5*aGg5Uz(sRrs7zpVR6t@$u~EcylvL>}>Ub42@z zSC^K+)ms5cq76Pu3)`}Y^F&@<%EJI8YqrlHV)Fzg@7^AEZq4e|+Yld>J&5rP$w5bl z!5~HK-V)LN6*L7%`Bb6Q=;-KfXt3)v73;-eRt=^< z_|J%mY8XWuN!41xj9P%3^YcaTCD14;pvYC_`}mNWxyylkCB=`$qfFo>v~n=aRCw(Y z_!*>;%DYu%j&^m{>BN4GN}T*EcPq;`+C@kf79dj@=Gg>Y;ROp8xGDC5YLQ_SZxp80 zbKRL2F5kc@3*?{|Wx;&qVsjt)w6FNV*%yH-MMe)mkoqhu!1H8))AyPDwqNUSvoTwB z7YVd;nBaHe(f|DAanqgIcevTuj+$Yh14SUqrH8n)V!?6}b|-IYL_fZGF1h-etv?Qy zl8UpEZY) zH0sM4yg}q1xZ^sZ($_#+y%+6F(SoTHUWjzubUTcPn>O*uB30fp;17Pgwk`ir#z))* zE8gxspa3GRLzeaU!tOI^Pi)t4+a01U9NKp52DiAl0V;m-{lw@>41~~?MutMfoQWDA zg*&Z^RX+w{N(D+#s!1X9U2fH_rIvFNV3r5sJK@Y4ggcS(-bkKWgxN&l)BcI_wTK?$ zz=6oGeDo1)idgTdagcs)X$jFZcYV5(_Hmeuh#aD+fdZf+|WOt_lQXGP#EoHiIW?C5^xLeU#Id6q{#Gl+( z?|L@2gg0;A@V1N2Vj)T8ZpImGm6+Y3k?@)jOkANXb(gaWE|YN2f#2ItE4gvOBMND% z25w1CS%@v4a1IlIEY(+t|MZOxZ+YYokwz%hl;tlR8MWPGnsG?91AS>rVfIuBWS2-9 zb0Ef0*pptyCmQ9tkHY}LDZ6FM7HTAJlQ{Hgl30`XDcTYjD?0B~bmkmg%ZM`rOob8c zo8d5l&Ce@p1mVgE*!e?+DKM!O-j9*>fpfhY0Ba1-Fw>GHpR|p=+Csc%=`dn={#c<$ zjs<1R-D6=9%?2r ze-b-5{B47i?mx&SeJ9`IJ)NyfQ^d|LsceK_4lk5XIk@VP%u?b9GARi71X+R(ChH9J zFwiOeL#+Rl)p{wyVCf=!w?(wSfQ}6q6sMaUrR|}nM)mX>^d5BXESE9Naw>Akg4F=t zwLLcV8REu!$!)w4TV`K+5NAXL02ATyLxl^ZK?&S2aUA>oEgFqrAt5(ge@RirdWG(> z*eXjvGuTl=#p?bg_D6u``vNud`^T_&i2vN1H%k)-hSzAr4ls-H#j_dUxA{W`i#QC-WAFaFuuky_v)g=-l%~ z6JFme2wcQ*jvD3l^KtTI6u+g1>yw|^w?NSndGF`}c8vI2zO}S)$-*2{X+_T^%%!fz z7V^sxyHBog-^-YS76f`uwQVxO`O$_NG}IMO-v!g5@Dz*+BsoxSC@QgcpA$ycwt{~ z9nw#LqJ`cGF=kZkC?f;=#=l%SD*tnEP#s=nAwNf1!qh`dZqGD)ep+@4sd`Lz_AXZ< z#ja9fVI;SV4gZT4FL!ph(r3{kh5N$49uU@M-37%PO7uXR-~Q| zXkNzP1AWC`vk$S=Be#I-)A?wCM?;Y%XCC`AQ2h2vM~knnG8RiA)eZ6F^-2A=C75aTP7%kUJik6J*% z4gOJwpz0aNqy^_k7!i7K0C$qYhk>Hj9Ku_1>T5J4Sq>JdDm=p33FI!NHQMu05|A{5 z{v=Q@==myPP{d2gH*I;XTc3QBMoWTM-hH~XS3pqk(>J+W9N#~LJjTPxszK#MII^;r zAveafZSMHm{g8z&GjECms?j%ON_qyAXMq4ARB&9($1OM0u^rLRYaJv~9OkDu%q_5L z5JDS1i!~cI#34^;;yiDFX_s^a5tl3O=y{fc!QlcH#c)Z9x{-h~#`?IO$MNn*`0pkH z9PA<~o?{LqYoJLh7W=~oWxMs;dR=6lYm4psr@`#w~6`60>;kfPFUPgdt6yL7^c?t zG#JU@E9OmDtc7HIjU3{W_04wN@Z^KcPs?CzW54Bv5#}hVA%Vk6B`4;?_XG5e8B^!d zb-Yg>iMKv(%=PF7ysreHBVIki{u};=TjM8^2#JqKm+H{%tJ)~qB+3z+d_!+TcDl^n z7na~50s4k=nzIe~%=T zEDy8=KYQ9bjW#8aFqIjlq{opV$1CYzxVs+-2^gy@^P) zvefs%0(2-Y{ycM&X7vc^^WPmZ_c*j3U$AJA75wf%xmv;V4OSV)le0qcjbHnxl9I#( zWq|zU-{p$`{T-|1`%cWuW3(Krd}cLib;(AB4+P6qoVFAOUDWDD&kgy5O^X+*{A6?) zCkcXXi;3ZmFZNx4?2QHxpmz$>;=j@s5MPfy<{E2n83>3>9?K9vFmU@$_{9&U$3v-s z#q(5L85bJ3mCrfjdEK8XY#e-fP|Bb3qRr&$0dhnC>-OckO6c8?`w5+?eE*-(!&zGy z>*#jb*XA(x1gUE)(GNo(`Ip-GI!)4MPI(7+?tM}FZ?%8ZAgGQ#&0xtDBZEd9uxY;Kfg&F$n7WO~TB=+6B?o65e=sSkcf#n>n5g4XtLlVLcXp~j52Mc(0#T_9xS7O0r(rwXD-ZE`k5ts!#CA;^`Iox& z^GB!2mrJv6jaa{#bbLW27IFP~Vw0%D5zrCk$TJ%7^~K9Gu5Q2uLKlU}m+rJb;q`v` zF2r&U3m2j+!_DdV z|DRS_|LF$Bo%}mvCm7QJu%D>HR8AB7wHZMlbqtZmVYi1^8W@Ftp}a_A`NlY|zRRBy zhrwo!>p`uy&Z{z_K3=``8=?_8hnqRZDnpU-p1O`tj}v>-US_Pc&7r87d)LJY z)v}w*e_UZaV9mY%No>L}l#^Ev+`Q;N8k9T=nT7HqRa!dzR?+Pp@xY!iUpe>i~rsd zJSuGVp$y%4k4aM~b?D_H4(|Q?bzozv@SQU+ftwJ4l$(n_U$g=HyXiJ3aen`U*g0hX zr-RH^_B#1(-<+51PWOch&H!eS1{X~jfBvFcdcih!_ujpGZJy{&y&D?ZMOKmNIL*JYXQr0R-q#R<7J3b zn$Z5}o#+rFD@Ybuxegk13RXT9V7%B(EKKPx?7Q6zhWvyS+eMpgfs*4f#Ds@88;kw{ znnW9E{(<&Lv_?p$;AjY+Ogvy<;v=E8pln1bIeP~eaR)dOQJg#B*N*qXyCG~CC!E!) zL~~oXf;|EFJ_fw29(rn#sc)55F$n2_-{v$Ng%x`Q1O(YW@UEWgS<3iP>&999{%@WA z|K7PZ#OuMt%&ZZZIcD5F8SX%X<^syvzwuq9okay+Z9HHd( zGl~2Ky%w$&t?gisy{A0QSH`kaf^R0s{McL1$VoOc8Z9bO&V1U684>{9eZFY)W=*AWQ34yyJU|t731?BKliuDVH=5ljzC16@xx*hy zyD(Yq<^HgL;id%_?iS|Dt6?k#$`wSPpR7!j1&jWJ3GDw=RW)08LK^)Kx+bbW>1nVV zRCru@lL&$Ddsj&4;L)SL!;3p)K49Jfmn=?SY6dCEDK2)Czw9Amz{tG0=;W`=$m6n@ zW&x);>1M(Eh%er``ws&*yr9}>Jx$4CTXRah=BBZ0(w6+628X?yGhN0oZwDq9M10Kz zmSa+Nb3DrY@1d(C7QR`nVAT@{G1PsYtxIWE?*#t-(QNS_qUr0sw=)9AKcw|{3t&t@ zD}fTaHoDYQ-t{xS=JMn#$K_*w?HicpDgDOa$^OXQc#ePJ9{07fL2v@wC+0pBQ}yJ9 z8Df~^%%r1iIhbCMA%qB%x0;)9Ncz~V>U3LUJTd-5TA-0IKo-=14ZK66**Lp#&nGq+ zNK2%3X)q;hzx^R^Z||(OApM+iv`DApJH7zaa<#LfRSi8v#{LefSBGGL0IQguwQP+Y zYxr$w7$5dnqeU3MjHqav^qnX+AehN4710r{59|4%Zj>WQk^UrP6+@ zrNK*2MU7~C@CkXD+ymJ5F=)Xdy=CBl)Ip*X{R|qwTOJL=4y45~11_exckhmq+l3%9 zgx1KObjTm70MpPV+boQ8-BZbH1G&T_x4@TIGf_{Il#M8ZB&=azBl8x(Rt9yCp<{#x zj%4O5EqZsBY|I|~cp%lZcpWh#;kl#N2^b}iOb=-=WPJSBFK+xQ+KAU_bY1WBcnUA7 zj8TC=CP*YL)QQ6&$*eH(h-iA?emTQ9+%X};b|*puZ0MnAn?Z5;1pVl>Rz?_naT`Tg z6m-9m3nJ$?RVC_cLzL6QeMej4-NIF0jWHq7@OFEo9y@xp3+y~`1jDqFfT1{qv3HyS z*&dIEC=w;ihYBH!44iwS@-;F#+6we3c|15ZiM<)NXE~}3+8U8T-^BZXOvDegk_;?l zGM|Q!)?cJ!y{9M6M_a$VumJxO2YKY1g}kC-6?+vPr+&`D1lZDJLQUrmFAE0GV9q*IqG^G6=!wAIR zNVK>mJ9VldlcRq?o|L9Ah;?Kt7rc88(%S&E?k&K2qJVkrhaj_WEF6T2dO{QVgOqrF0KGCg z3c{-<`3N-<3K%!;hMqIRn_PLUA<{j zSX&C*3Wey=FGU996b8>k??eOsJ~RS-hl^`p0gEFRRsG?i1*_MuKc{GQ^d(MO-#u() zGGpU5m3qq4%c}%l_mau6K}G1)82W)ARd8Ggt@A=Kpibfej0Vr3E10w-2o~JKJgECn zPTNK;BYcZoedJ|jNi$py8a{PL9J3puVATH(mt22}h)wkZptw!QXKFb3_Zv6%!n!7i4v*c4fM(#*X%jS2$AU|jFNb1zHkbtH0<_*b z4NJhO0Kq8q>eWh?^7r~*=t09&`c5=sk`_CxCuuP=!#<~VQa`{*h6nl4m|J&TXlAO< z2XjF@_&FmArSOj$Imw9H5?!CRL(~H{Q%`Prwgw;Pys+S zr|atkdqM%b)8>r@EcBLEY^h$6Ts(gk<{*$!Z?fgshbV`tF!I1NarMZ0OhiJjFBwmO z7?TJG=VQbh;&sF+CbdYa`>-WquOgX}6Cg;0MRWRL>=dFUT`q6FhI=u@kTB>ghCvl! zO3@%}d)x%-pqZj&@72vyt~tyiH<^2m~mf=`q4 zkH{pK-sm0=t*ou3s79%>4i5VvOCx}X(R z4>xx<<>$A1E+CU4YS1FYX(~3S{;iaYF+RbrhH(I-!5Ll&!b3tGsxk?ba9JLAr3!94 zv=`=**>+dh-H(@|xmRK|^{PLZ_L z@Z34m=*i>^lUnV7;V&{)7cNAhOk!HRxD3NA!mPvL@rl8#BX`705x7wsi*G)`93Yaf z$e=86H#t#QQ+X)ddf6_C(LG4tUoz|;6YZ`?99@ZVP+2UIcQ%MRL^c8u$hJ4NbM_l) zUu{5-C}w<}PMWa&{PgAE3>t<~Fowzyr-ltZGUCTkVC4OIsQev(@BZ#0#Dtt_Vaz_&+znd|H4Pxm;&{idnd)au- zdPM$8(qfOp4U#V#mEMB#;gQw7_@CP_~nGQb7h>6Mv|=9(A` zhA=|bClS&;T8VBN58UFz5HjRLD^!eVj@E`yL?RL45Xhu3i79rBx*`=Wah76)l;7Id zN$6`9f9)s0-n<$;$p|=|e~eZHnh_ylCiwILcbXv?+KBUgo1AeJp=Zb>g54bJ)@=tR z2xJ?BwZiKyU5rT~4cbVDWR@Etl&^2xXNeCYS$-V$r1?y{k@gl?mfgRHn3E>P884KYeh6E&9F=TNj7W;X3F@j%jwYxE8YyD~qJx+} z^K4$<7Ads5$TUI`CNnn4`XEhJVj+o7fDDNY$@4wk2126}Rs1iJwZUW;Lb=8E(4!@r zll4cccgDoHSbPgL62YbW{37-;^hIf6JRQP_A{;Wg=I%%wB6eS;8yrg|;#3}90NY|& zB=+#DD^jBf6eS|S16)<$7(Iqp$ZeQ0hoQSW9;O_(<)icYHDE9RsuwD@5Xk%Wh>WNq zQ$^4mNT`7)upN`;x#DSTC3mRycn}G6%d6u1tI*ZHMHbG1=j1>VuNBrXgnz-+3y;wg zjGMj-^LP^GV8$TXGaQEqS5{zwGHIp$0(mhwt_A=A>OjK4oIhACw#Z^5Y>;qILBsfy z`!-p!h%lj2K6&P3ct{YhE@^y|LyJ?H)O7y}gd@J1D}x9CV{cCiF>jb_Cj%pNH1G^U zQ7Mlr+K-+CKaqupxI-QXBBd|pI2;VbM#sU@z$ggbi8pWGT3|2XM0JS7U+nXECxC8_ zBo&m9BbYO19`2%4h8`|$`ZqOh(lrJM>Ob=0|z~v1Hoh1Q1Jh&e z*g`=#B}CVXFMehK$s3aUxze7iSFf_A%NrONq}8Y_q`crKT%&$B7#kEy_z$oKIYa30 zKYr{6+q0}afk>6a4oF-_z?Od>Ma!xDT?*X@WLDvq>~nN7X;VC;y-H42_7h>^h?E1| z3M&^eb&v^lZKDfL!KnE))sS>M0IRqTXQJdo zqrXZNAGd)u1xHJP*ap#w*ov(UaBv1Ohm0Q`bhdSdzs2zfh7v^h`ucjtECeG^2=d&w zXSOVhL1jxU86-23$*WXUiAgZV7(qg~Rne(|ZrfDI|MUsC+VlXL&E zK0FUWHyEcdq%Z@7;EdcE18tH_fPyDG6?bcp*oW^(#MgBIqH5!AoL(>A7lQ)Q9oF7d z)X-}Mj0~twFyu@8d@+yA+kpLzxIqZ~r;VLnb^yi#ZM2DMV8{mv1jO1RiQqscypk!5 z5V#3L7&203y#I~F)~$zr|NVEg9cGxfzV$24DubaS7SmjmkQ>Rg8OiaEZS+p~?f|`M zID-$tL87%&pA589kOC-yE~5biO{Q@o9AWpkB&BVkP;?=bP?+u@0vZxe1{@EZjL{xw zC^7OLGqrBW(nNaa_i__c|(gwb7%)%}DL=^=bQuY@Jw{R1Q`$IZ}T)artj zvKrt#InkDsyfB53)CbDK&2Ng~T}0uSL0W#v7#uRUk(7ZLB1rcJRbK zHDm@OpDfKf`)sWcX`Lc8F-#3UMLmlsFSy_ZKbxQ&E?EG$h`|i3kS91_O0EqbV4Z66)(qSQg97dCY&twQ8 znJkEhn5|!+aJ!9@(Y@RE@Bi$WjqURt=JTO?NepwuDCcXauSQZxbuB*qtA$pFP9icS z!)Ta{LL`$r9J7%{zhmIdNLNL&xpD>Wv(#Gld-%*`bo&ShjDXk8yHQ677qC=dYD@(t z>&e@IEaP8993W|=+JSYo8?Uzp*f|Pj3yG1>CL~Ow{3nG-l@tuuCBJT(283zM2#$WC}8-Vim6qD@z366&;b4 zmuDF1;gcYs37fG7;77ch4C=xXLP>DZZS+CbBg1|O)`FKT9%z7co#UJkdQG0cZgQr% zjrDM0axy*zdjT?<7A*~dBNhV(jRF-BU@`AWth5J_xf65@l_U4s7qeGAAb|or?L=J7S}0#78g$ z1l#Sm-smT9VYA(7F_-agEnkJJMRs7u2|Bm40D#GCSxd-NDD4J#d7^JWd=ecU55E)f z-_|rC0fNV(%QvQD03BkiLeyrDXZ|(AuSS+~&;t&y6*`?7mULHM!dB?CrZEa0P88!x zXorJ6h%QA+es+HZ7>I?6!8zfW+zpoie{D37YOrTxs}^po z63i}{9zkTm1ARG;x}%FIUk`yomp;E5voOe5N?7m9L4w4Bp6DPggQ(1gD%F)O@HX5b z*>TCDS}G?&5<8`vlofuWq3^|X(Q50W8&`G<;edr99 zQ4WoU4{;v$VIbr|5{fu?qQb&VFKx7ilkSclbPf<}4CY)Vfk|k~m?Ux?U^PM3l9N9V z141e0Pmjlwn})>Jji^eLJY@P|0<1vRU!|Nz8x~; zl0aXsKJ{F8XD^7l;{-Rr+{QaWx*bVB5GLq8!9Z3t{Nj+hTe z`i$`!vPn!r7XB#A7_5x(x%bIXE4aw;p4CxiV)}|_lI8Ex=W$j~t^@7({#qS)UC5a)PQt%)fZp!N~}_ou=>ad;(`M1kh)Rjw#Zlis@%$HU=5c zP0Rg>TvSco8S29hFaqRmfF+8H$4{QZs02)$Py=Mw#3<@vOe;mV#815%e+kUTBzuH} zJ%mv+(bKSn^)lvdlA)y-`$&e+k?GAq`35!L@&C&J(fACQSwc$irPn{gW^Ny!Ce7?8 z2fC#N7?s6MzCZO!A~HGLwBPwWVS2W6sMt})+6x`{j6TAf7ZJBj4-o7oYE+#NvD2~} zu-))a-^M>&2ABRPTGe0t5#+o7K?7pk%)gLz{#NGTcmA6VjX!57oSyO(ydf_b4Q8@3 MN=K3oow)En0L%sGJpcdz literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Road_Type.png b/Vehicle Live Risk Prediction/Images/boxplot_Road_Type.png new file mode 100644 index 0000000000000000000000000000000000000000..11952b2800a3f4a096730167cc2d0f965ca9612d GIT binary patch literal 25032 zcmeIbcUaWvwk2G)(zcko6%|Fr0165yAPOkKh=qtqQnCsHN{%8)%!-Iw5(G&Kl7o^# zk|H327J?*6l0y+BXZY4zcK7X`bIzUl&VBC8{4qYayN^H>zk0*oYp=ETzIPSmWfrrp zVWm(gi>XHsDN-nNJ1CT&PXF>VzS6(Gm>d5Qvp#&*TMqEMEeCI8F` zmkPT;p_~<=9@?*L=hsu`~rue6w0yj)9aZ3gQ8Hv{K`ufR&nMRc1!P{PyR>F z&pcQN{Hda_{PWI9uuV0Z z=XUP1jR$YFq#NH~Ba#u&EOh=u_=U1iUlAiOH$j#FeyQid!7J9S^N%}kW$)i&9dR-^ z|NKYetwt5m{r25iSy_>qY4PdSozIUy-F;p|Qb3^hT3}$bNyccsgSX!v5fPQmGVaRL z6T>Q@a;sT>{<$kMDps+tJ~PQ_a^#q{6eTBMDjEkS)!eGB__N9>EpA=6k-mmFwFLc$ zW8MPl@p^ah-sfyG?%7U_S={H?BTpO9Ix=X~QSxkJplHW%K8G34u3gG1QK}Ms11C?O z^cA;>b5D#CN^jw>d9fyy)yN;M`GS%o1bO{^@I~MR4WmDAgG2f_0Y+$G$fP z2!@rZRek2$W6^Xd$*593Oy0k=Qs+vHMRR_HNlo(CbepKIFA>dZrb8W{?K_^`<}0)t z>Nu(8(32!?KNP{u)=HysSJzsbFxe=9TGTR#sL;d|1zi55J8!KjfNb z=*-4%dtUD}sx>_|NLNp~==n9tsNJUK<=I>hA0IVCHFk-afRirV z+*|j$JnGaAl?cVd@?lEDUFAxSju~ObQ#gnLiejdSUi=zu zYJFze(_V4yyN`_zw5p_-YE6%~2WmH8mMBouwrgZbx=?mRB~tk$e%Y6oXAd6t5ju?h z8&Lnm9?Yv0%Cl+H0em)`%kud1MFKoV+V1NmB7=f9)Lm+Dsy3bMNoinm zP$HBg6xT@DTPN2zk2TI0Tf0PJc50CJsW{$ltns!=g8uO|O#zkY(gX(@IagSRVP}HP$bKapKr9B{?~_0|yQam7mgS-L7=; zVkB3qcu{Ua!DMsIQmLt+*S+b-Hg4Q#Dej-%d|ODAIY{S4LM!~22OB5vwvt<{6w zrnTX?|81wg3g~5$Jgvu4xYYo4}J|* zoRE}d%a>=)?A%P-6mTR(UX_g$IQ7;O7klzhqVlb_f&l}L|sy1Lx{ z)z_y=kL~DuGoSMdKC8%;8AqGG`Z}eHJHB8mxe6JhzK`*-BV`_}k5q~Bs&}3=;nzx6 zJ|Q_CA|EK}&u|*)t&3vBzLw|Z~6(pt2{Qy)4B{XLI2`Y_WFp z@-1>ZX~lSg-qrW++}VjcH>`Q3`&EG(*C2kgech!TmpS>3=1=_hURtB;HqMC4cHH=S9#QZt_1VO16EyMc&(7~ z5}c>)ty(=#`A!Top5pe{^EY6@mjCu!W16H*m-6Pqwc^%1bd!w9-q&qdkKN^wD#8d$ znbhOQGrwh!&E~~PYj3do=qvJZdbGhT*`%f|sdn+6+B4U#T`NYcx74cizf^z0Pd=E25=Ek9+G@qw4tcT{S6j zKQCSrf^>b^OAYDfg9mT$-rm$)MwXgVKE0kX95_2AGxz63C7U1YdkzG`KrTLYd&xS> zTHA_%Vm>v8o>Ot!{zmmk;1O8F>X8lkd3lBG!T5XYbkIVJOxh4$QPj|&gWYqzbEl-c zIzhy$P0psbw%TZN+{rzAX2Ph>vWTB`$r7))xVWk5>2d_a^Llz61)Ntrto3)q)bxBB zS&Q{m$GKQFecDnnN|k?lvSGG@oK-R5X&;uYF5(skyb1~7Lb{_HnK>hmCmL4^NsLtK zswe2*m-iF3*#F=)?(M+n=&0Oh`D4e*N?#mX!Nz7?KPh5XuUYDIWqV)7pu6+z^r)uy zaaq~Y;Yyvj-6mfR5iKH5ziMJR@A1hm#B{W`&c6Bn9&2Qa2;=H_`|(!q@@O?-y7f$R z!2_e7uSpa1D>ILq#pcIHt0&2l+>7Lzncv*hWIZ+3Z@iT)17I&RR;LU1_2Cs}xW_3A zd;k9E;Uh=7LZ6zJl7Q^KZtul+cYX`tEr^JSU|qb}Gq>@3x|!!Tm6rB)Zj8BY>Bb-<%Ix-}u7 zETMImZNz%}j*ZhpWhd0rEMJ5O7Zj#kESE(F_*gk|@ZdoSp9J^DtY-JU`>s^IPnQeW zr(qw1BeJ&qy)Xw8~fy6lNkP@^cA^F|C66jyAx1IH1auh{5Pd6xdyER>d|sAOI5 zBKyhG3?hvtM|y04?*Ub+jMDZrIF?yCcun?Y>%6|ySAqY=A+&1YlYAcPEVHVWKX>kV z_l}E*AN4-+a8npM?c9$Tz#-FzkT^kTb`|!2qNyCLAJ4;CwA}#HLor(g2ICW)q z`cf>zs39v8yV=UyqE_!Xc-&J!OPn58zx@u$C4td56 z=>r73x8`mJ!sppFA{X^g%^HLrf2ywcZM7}}{Kt=b8oJd?N4l#6Z1h*}vwPW( z04qMOjzZ`-PHZtMr?Xq+o}9rcKb!Bq&S+|CN)Aaa!!p2umO6L-k|zMc%h#;AsO>bY z^4P;eZ@uI9{mtg0#W`2!Ce)37*dDiwN~LZQ6RYn2nzX&Lz4<_;!^W+5i!M~7l6`^_ zjG2yc>Dnj7X0Sfwcgk5?CytLbKlq3^G*o^{Rc)@}NxY;85{Y`nH zTCZ*M8yXrMQ6!0(Zr;2(cZg9*9~&R{!D(+{^mFJIC(tF0E>^~x1UL>*2ODp5`T|=Q z^PPT~Q;R5Zghn8qM3HG-dO6^9#g|BxqKt{ID1E?_wwRQ9A#xI_$Bqf-vk&Gjm3o2- z*C*YE;d|r8yg}sqr&U#_Hy6qQdg{N9L%B@C<8QPwwc5FJ=YABa)YK)10^y}{ z0Qss7+pq_aLB!eFdCR6vZ{604l_u1V^wb>3u{`CoJD)wJ#snclA33N|?6nO!DJb!Z z$xmSC7X0$dPNaZc2;Muf(!=SqX)JZ@y10UJs3*u4;e_o$G5+H6NVUOnRJ)ayfsO-r zFO-JdwGj6|qL@7Fw>_J|f9IO1o8XR&@7Esbp#(5+E1VSjG(eUHr3#04(fPM;-xdQ0 zokN81iU~5%*Y^bo_d!5@s`x_I2f4-vrCmv)NzF(+o3*an-Fx?h@qzRaw5m;u>_5hw ze)V>!x2|R$3yY773&m>is& z+o@P%a`SGou8>3h@o{Q=&`L84@oS5yXw{%hB5DhitO&8Xgy8vU?p)?QYRVV(mF%6pH1qt5$`9QaXYCNfKveEh&7w6)ekQlBw+5{V&DWNnYyJB;`9Y zH!?`#hK&>o_wB%P5Sh}AlR(CaR_*d1eS~EI?ZVbObPGmpo&VI<_?DiaE{+3ONVzgmPF8q}eA2 z)ltCei?}>DSN$?R09GdgH>q618n)pYBfc=FmL@IH0pIfLZeb%&IwKR-s$7x^EJgR5W#Tk?cB3AYsq(33g&mb zf3!JLHD=A$@WchI_6ris8YETXwClRq$@h)V;qbC9U78~P^P&AaEaK(YCK}M!d+yMw zZ`wt^A5HV}3dP~GvOLN0EXaGOTG`hk?;R(YOmEJ!xZQ8B61w~U3a*z)5mH==3fMQ} zB3CDum6dT*!6IS5Xln($i{ee@=Gv)r5Y_avgfCqo6iZW&8Ca@Us?8AOTe4o zlH%eonD<}eyl=K3WGZxL8+1?q=)!v^WkpFdCZzV6HLqMkTW zId|#4AY_6Fgu(PyFO9@Yef0+%*~pH#6y3b0eH8E}6oCaiteRN89G<`Rl|i-z5}-%}E3X&O{k70Zd8o4XJ;?+8sG7v5353&iN(-8yDJh0DL4a zCHIuox`f}r(UwiAvwg~Sp+4g>>w*P@_aJ3RC-^`6>ETL3RuI017J|5qgQrD;A^vpd(w8^ZnZ!P4B|HWu40495V&Tdr~H!1=UF7dK1FQbNea#eEEQV z5vUv@Z5S1_5Zv`bBugV70Plkh&XX|)tI3O`Kj*2{E-d^UEHjLH#38otYtk`74ukEo z$y;&C@cqM$zM>Y-vEspqu!c?V?h+Qzex#e1%DQOL7m3l@;KtnB+eJlBBd&iznvA}+ zn8W^47gJy1N$2UfsaF&OotA+K+Q@gsl#*5=A4!^y-d@I}X<(sLpva$pL=G~?E-8VfWwf6dwmNz}N+a)En zNw{rlZf>=G9pgR^ixR|+yLI{K(W454)8vIdaQE)rm0N$pw-nZ%EV(*Z_4-mAm^V)w zt~-K9@V&42dtM<~Pqsa5)*DvkvmXzXl&G|jZy;X_+JM(+hJ=Lhh>5AKUcFko8UI2w zRh5->J^bTUGUQdL{V(DWC&#@S93Cc=JKJx+ojoZ;-XiZemUZuM<~Ej;JUeK$?vm)* zl_AWh(Iijv%hIK%jE$qi-1e?rl9!(kUc9(TkG#s2gH`h=o1o?EI@JOmYXhk^+SnL(VXI|fqxtD|08aaV`~>h4u4lCS*$8lp>g(Pt z1JGst<(HS@Kf7$Y#@kDt0MZ`wSy(>@(`41wJ%7kf4V&pRxI*PV|9q56eH^o7PSDXG z;qkd5P1f^C$XlKV4pENNq+5a{X z(}f9CaKsnsx?z*f*T|nZk)l^)+h{G`YA(uGom|u!Z(PG8$`o0Ho|wO`bG>`_mH5wm z4?R3WTwEwoy5E-lnV!xpC5xi4sLt}E^!WJLs;?t%f*;=R(=x0{*sQ~ueZXJeS$xpL z%h>5vN%HNY2h3$>JLoJqGcd@n5?(XpouH61pKXtv#eb{j`}eIoDe4xYG&`D*&2{^x z8fzIfYA%H*{>RoB#uE^ioX2(vpNa^~5=4Xc_9R3z>SWiUiZ$eh0Yng}q)(cI6Q+KZ{p={Xkzx3HS#GED)QJO6P-KI2W&K$r& zFH%~a*VniA63jR3u6hOV$cBR6?dm&Q4j?ISziLg`mj0Fgr8dRrM;kT@r8#M0Yt-3}2z9V#df6lz%4!mJeeCyY6lccq#fDMU#}AFG53QX^Kipo==__ zT5O_FHoTf&r%I$c=B1iacdY*?v}L?=ql;o3g%2Gt{x2CKy^ zL$G>nX#rkdN2u8pa9E`%Z<tgK8JO$Pn|V_S~upge@SoLY*bmxR(EM2=X2jkv$OnE$6Dj*KTCii^L1~! z!O4ZPPEBrDMXB-;JOVC*ZsQ0X!rgX|UtyW!)JNl}&6HH>#DyFX0`7rJ33_qNy9@GS z+4IBqcA0$LRR=AT_DRl!Q%LX57J0w$!}nG)wQNmIKcbL=mQ(l38p8qBjVbjdqjsl>$U1^UWdp>&9C=&4K(X*D87EQVV5+mz;va4;yJ`htAe_paS97IhxDx-AV ztD%<1C+xje3!b|HR_Gb%ye_b)7pvo6fZ=%t>Ok#Dh8+;J=Lhc{fx6VCixw$E;O9Ha zLRqx~5-`q2B`WR=*>vawAOS+}-1%i8miiZH!^nRmXUgy@qim3{A9`rrmLbpG^Uhnq zJL;W8ThoWL@k@{-g6K-lS0Ps(YPs zYX2w@7V6ytp_afjCz_%7I)v~?ajG-2*m8!+*{hZ zz}wIL=JLe9&COlG!NCx#sBJXo*}dD#atYH;b9JBGlbvs@ghV+xIq!2y)i)iYm|q}T zEa)977z9r?4h|#c`2}*>$HKxA0c{0x<;ghhOg1()JsU1cDi=O9D1lSBkT|RP7Wa_w z=WV?^ci`ET*_p0}?Cf$uN>I+B!-sjdZNnj?xc;W=c7AKvUWeDJ0UPM8mi;!Ksa(t~ zMDZ@}v2~FDqW^+miDVObh1m~Y@p&yU?<{x z=1MygK7`^bm{Jq-ZP25f*xN{YD zTC4B=Sc_6RUW<~dz(iu_iUC8#Ghc%$_A=q1xULCJ{r_(o8}k(*j}Cn-v43i++8|Kv z$vjH;111Onu*mYZMU-Q@4{{CPe@EEjQJX*2|B~QlG zp{OSDLay>9%6k@;>7P>TOkvfC(xs#l1ok^j#wTN$H;)OSy(*P$WyL8iZoIvh-y@PD zr^bLt_Jmmg8e|mL1!53FQOqyTgiSmGRo4S*}x`+Tx}1SgpM^cF3?Ow$JZJdZSDh z#oSQ(G-tylwxNBRFfpjZSd-jOsQcr-yIyVhjjUjh=sCO|jC*i>rUL_6_!Qou{>rQq z@d`l12$h`Z*c{c2(^6HDrc_t$u!Pbsv!8wt{6-?=>*Ic+CzsqlNNfslVnu@2Q~<(x zDGp%b5_9syoDH))9qksdoE(3$b3ZX#RK#i-{ou8v1@i?v+8f*3!-z8n<(#Svv#4OR z!sFJ0ZXoI^!W4x^Aue;o7w)v-uSRid>rmHEafYV0KLZe0gIt_7J)$9ER3Uf%gGYb* zw3mkID;|{PtJ?n+J(uF@cQW`0uduKZ4Hl}1tpRoi zK(fS(uD}`vwQpq1T@-!Z?NLn+LKx&08dq2uFDN?d67ap%$#d8^{{;-7P?oW*JA4D% zj?7Rl$mjV7kf-px6%rPPQ?F{R8OL7RXfHmsO`M$aC+1RIRK|2fIk8Yta215x_I!I8nckCJGxY8H(huyx zfHcI_3+7=t0M?eb004}3QjJG2N#Nb z)`NJ{;m)u?eU4cuXDXTY!#~wk(72D07r-4C1+woV6a{^HKu?;}KWEJzHj9J%^z`y- zvzbHjFos{|dpG|m97$LLezMnGxBwSmYqW<}mt@0GO@i+M_b~9vOj_F~|0u}pvC=8S zpu@Xfcx#t}H5!6y#fXZ_D!sl`k|(SzLego%5H$fUgm?`n!Cvrib8{Ei$OB0O!)-6| zqqsch=ixbur&m01;2PjZs|^n}^W_p2iKP%w6krD+xc$@KzN0kaGq|~MmA(90RRtXC z75JcFjAUuVM+jUezaw*q212S?t+%%C?e6@RiRmh6Y(wG|JNfxzaz>|c`2s-rMFE?r z79c1YoON}OtOfQYJf^3wZ{(LR%1$%m?JU}#xFdi7BXzQ~Do^9l5*_&UL*U^K4AOJ1#tmHn?ejZ8B_z_ zD{UpedI+k^u86PzMOYo1G2iGWNSuI4sPEwCvCDUIaw<=}pmf|{ z+*4{QV18YW^OL3kc!|UfTi!nscN}|Z(2dw`Khnafz_o%3{i|uBZo_w#s>MJfFt@go&jpGmrnqSOaICI_M#Vit> z#7;FkGn&mj{SLiz8R#ewSCvu9Oh<_fSE1hqH8IadMYF*9FsdPs>F zTVOgPXNzB!NIBn($)$yw$ps-#R=eTaJT`8&ADPw*u83>K=>oBS4e!ah|#4X z)W<{xC>kIODGJ;~0t=A=5H?yY)1uwyX|f^QoJ0My2DMqcJ?s!9X8<%&6#-Iqf$CVi zTIk*L8+bh>{?DQ!hx_bOdjUx2W;iwuv8YbewbHHoH6MU)fZbPrKa-XvEGqplxbk5b zxsK8hK48At0=w*wTX%ku!Fr}X#kPpmUVvB+!UCPualbyhtrjMU8u{_EX~Qes+bH_a zYDtqvkbd=6up{ls&a>Ab(Feg@@V=lx26l!FEOT?36IM07@fHW493gQjJn}ppY2h%- zXU)zy^i;h%2;N^6N=1e#=N?nPNj+v zSp&~%_xNRGY1V}cx8FEKe$=Ju&b5HsPo6wko82&VWp*+U-cpImxYxbnDE{BNF;|M` z2v5gl_MK;3ASK2@s>l^i22vv~Q5fTs1el^>(CPjJahE!Y@s`I3F6H<4)Q2O(UVsup zio-T~U>wBFx-L8B?>u+yTEJ5H8vN`>dt<;9sb5naF}Im z>@2<%XrQOZrnn97`#kS=ePMQ*@I=HB$As^5TudxzscRujw=oWgVddUyAx(kY;ikeU zAS)-A2-c^HgJpUXjFa!X$W|vO|4GPDh4OiDYmpX`L|0R)Rw1VW4OG0nxlp1K7NA(T zi-n`bz@&==gfgdzA7tUIv1_AnrkpWaIvAouJ&1j(j$4+QcU}pE8mMpa<&C5~$2b2%kSfI!&GdGtN@i!@ zG3yEsiXT_+rfzgIz}OfB7EBj}C;mta?%z+(Lr4a#5(QXEbb5P$4Np=91Uf1r7L-DN zB`qkY*DWWnP>|c1C$S1dYbwex;o+W|QxMcEk&}`f$1PEC^J^r_fn!Y)Cq)>PuxCN- z=RmOe!ai-9(SHPXJOu=8V(udeIx3j?c&-~sjD=%`fE%s|SgN2Uk;|ADLEeRuw}M4t z6+RSknQD$g+=8)%PYzHJi}MKya-ptUQ&UrmwKz8w92W|?E6FrsThjP#DW2izX}}-Y z6i5dU521WSDQAq36oz_gDjD_&&3v+0WrbaMdY~BwteOPefJNIvwug`Mk{{6*tevh6 zexu7K{*4>=p!31y z!Y7Yc9VV~JIsX}|GRyq=$7ncBA@C&KTaH`Gd@6IbR84`!oRXSo!dSE0_z7yA@<)`M zir<|IP20C^lSS=H0Q^`O3iE}({;t9HN0%Z%L=$l_=*CfIREvj| zCL{lEag9Q`3yDekF0j%wfRiF{)<(6Jm8XDB6b>D_K~!272&R;vcjkZJB+7<`5O7?U zaqZiuiMSIW)N3wE?jl&1dj#B(Bf~96$j!BD`KXb~5i}&dA5{?ZTkb`zr4X-IEL-** z^eWU)wRH<9l%oSo&5*|t+rt#H@u@@?f_z5pMJ2}sImn=xJs4JR_=PV*IZ}W{ENilN zFXI3+E3+iPO& zdU7-h9S5YBErJ-4Q0U%7NK&}*`?dY+?kmXktIu^=cyNEpBM|x;$RnQt^y2H1;UA_d zf)}o|!@t^-{X)XRw)69UWc)hT_koW1pr>5BgZ~^J@xN3Om(5Pd z$)Q=s4atUI{&v%i$~6>CQP%Y1#`PI$@MkE1bJ?d0GH9YZflg#IQtbaB!SGpq%eiXo zP)^?srw3?_Vk-%L{^PKOWQV)`umi2KX=r*5E>l(J<)J@qLEo1Bk-gy#{lM9*u)!{7 zPEOug*Vo4r;pJ^`9K4T`peqghJn3p8)(ya7w%;uvy;cJ)RATHV?2An%!!=WQz)VDBO{+6eDL@5F}QSgp$8GY zeKPPee+Ft-Nw>a$2Bw6P!SzOKwvT%}^nM_y*w!g5H91D*Zrw5C6Q-iSuz>ZaJSwgc zY41UPv0JfKM@NUyUbt>6Ll0WKHCjv&kY8}&bY3nDzt&Cf7LYVEf9ZN<_=J42;+|1T0@`%T+(iHkzG1AJ;a+B=G+R)URD#U(L70_+)Be)}7NOuowdMW@H z5_)XrQ@%O=0T+(`6)ybv=#9+qvGX56f$Mg%GG~8$`)?A3ZGGJ6JOP$C5wxnoRzi_p z0Ncb1G<`+s2F?3MZbZSKmbrh!K=7X-ac27c_Z%7j{7D3!R%$yOhsn#nC#f>p{U=JY z%#S={(NVIIn~RGFBqL%nij#-TWI~pMlFCP#5YU4{RRjY|{#n!l`wXZ}-WAx%`v_vo#uHTkSMpwnAgw>GyXj zL59q=2$BY_k;PG__a{U0!e1gEE}tX)nb`p@eHC(2p^fV#I5gNGWfUmy7xcLkq+t$m z6YYV|Do>;E`+_R{-m*C^)4!)mB3mV-)S}ozcuV<#zloL3`>=w-Loi6(;OD@N9oxTu zKQYN@3^F4$#Wn6fxSxN>qTU}-Q;ou6u; zXVGNe8!z_va`YZo_y39FqUq`JU=zjlSEec#vh0#^G(P-;^%7iEG@W?BK_Pk)o2}_3 zsqe~xYH|&JL67L#B@nqhQkxH+@Dptu7vtdxe<$ILI6-qqxNr$^6W}&BzQ|hao z@P>ogQnX0)zt5+WRm+(06SGo&A-lo^xB)88Bf%qo@ySqW1Y?2YBh4|Rb(aEHykZ7< z7I=zw+m3xdOH~Bn#7#w~Q7K|iIovjMp}!hq2wgzoVej6bg1ZlrKa_OdE?%?iAs6X} zr?D+t)|6!YhuP)C-^?!O$V+oxoLQQFoHWJPq?lEr$<(uF_a9bOz9Qf-Hg@)oH03z$ z>G&3=PgQdbe5w-PbLNss2&!?~F(_E*b|AJxX0y>>0WU;+j|yGrFAi6F>q5kM{cK6{P(kH~)Q?6#z|B}`hW*|0+Q@Frv3i%`!geYPIL8DTX0X<-47&Ay{va+V%&loB_Mhofa zFpTRLvuYzvNVHx5(x1A$C6PS3%e6zW@aoD16yazR;Re_?bLuMj7UkwGT_REcyH?46 zo|ykl&%qd+oRsc&OjCMcGQB=lWi{9Drpsg}a(`U$>kKS@H|yPkm+NA6@?#o}?blz= zRFCjmeeI&$e1G)ASazTjx2H#Tfk#LK+!suD<%Yu1gE}zbp!^}1(7+;16CT@my_$S> z<}e0G8RyH2;Y{bQ!8zgSehBYB zjCb$%gkBR`LFkd3)`R$Fl#gOxpn^;qn#|H5U+{njc9d zE}rq?Kw2)tJRRJ{kcGIYsFhMgQ5;h!dqpi_aAAKWa)&iM!P;Q~%)~|l>Y-7@`x2QI5-mLt3Q}~b86kkV2(TVCMRoAuOqDP3p zs4n)ys-TlE=gK_$_U9|sur7>CT9_MP<5x{Ks!1 zuM=UL@5jXqc@&Nx*4KY=ol}cRtA$Z)8cxH@2!tdePIR&JJVyt`W>hnvMzy?#E5lD7 zM9N6zW8BIl0y9AAD(gUWD}e{^iEo)>d2W<`8l?@|fRn|4c4cQ3m%V}S;zZ*A#>dAy zUAM=UxXhVr4Z$la_!;~A7`+`Be6i$q@b|gT-iu;R20A<>wJh>hV0Z^?dnzb;0l^Jz zcCqQEt>{dc{Z`l%khh6KWbjYlp07v{vSQ*pd%N#~anfkiL?^m#_F#J7g)guk8!Ax%c@ls`Ybu+Dk1X97>N(3(Sf z|FfXrckjRMU4b@Sw4#s!73!Gs5aKuLV#}yFZed{&z<>f?0%dvydbdzZ)H(EJ(n8Qs zri`UjK}do=$bWymgzvyj8?L>Zqz)Ls-*#PLeHTG1=71eA>t z8P9O)BSE1ANJycqA5MP&`#)0#;E12SY|4k+v9E8NZ+lL?XrDxTiciB~bq= zCmXBL=i67E!WbCL$6?ad81X}RT{Ne?S{t_Ngul277Dxqp9VRTaj7wR7W+f$-L0Yuh z5z=L7z_(?~5$NR}T+`T}uCGZ^7#Ks|nCJtf6~~}DEWrMQk&_xeS|}*%0mb!_0y*Q7 zI@FOdw-s1b04Xh-aur`FV#wkzNV}@(EJkNo=PusEgMOqpZ{AE`Yzbpn(hIN)N^3ZT zL-eL7LjWPNY@EpyoD3JsLhl1TlYt>16SU3cK_Uj22FhcE%8 z3*V{4!61g8%cfG72SNgzCoX_eKTewRAzx-lR_U!4x#$5!h^U3+I^wno+>p6>PX!A@ z%v$(KReSph?ij`+nf0Ghxq0HF5pM|$AZg#0z9Q#{NPa}mATzWKh}Vn^bRs_E`)kD% z5hjKwzI8S?2a{1Lq}_*rN^I2y%umo}NIFlY!fF*cKG@Dc!&e!c9mC&qm+F-29%&>@ zDlxoV9?&EB^pvK>O>O(m7sf>~&_Kyx5rXh854K&vuma-C2@yWrgMR3;hAXrDR5Fi% z@X!Ftvf_gUABcYkADtG0{@pHYS_O9aIguRE{?-NCu5DjEKQ$e5LC6||k8()Ph7s8b z7B#UfnWll)RrFJejgI+fJ@SC%gr6GVhJ#p1;tA`DZKRzB4vkn60RUI4tg>;?!p$18 z;1%=F8f#iecq-hE1oyRKo2bNDY?4y91yw7V_CUrS5F?ScwY-P<&pdM`MtY1eVuiHa zx)rqw(J-_H?j1~9!Q+c8l^A+h=|r#*evFZ}9(_6J1omoA4wdschlAUeCW**j2FBr< z9m2Mswp2cQ0@~Rg5AWWKZ#4JynJrl>`miSp41zEikAPQ*Fkilaxv%VjJL%LBniw(~ zMzY{^b5PqJpOEb5OR(-#++2tO9Zibs*9at_uar(YUQsrdrP~;hez61uN<1J60U=s3 zOi(>)WO4%r*<{)$3AWA7_F~^n=t9sswrtpt!>5^A!v1*Bp#*31I3i5DJ?St;9e{qe zQFQ@yB-dhqh_)^q#yg<}ei#F8wQ1qjG@tH+;w#wus4CmRC(yop(oJc9P-mI^_kiab)0n* z+#)PorW~nUNQSVXnJYG}ZH+KG<&;nt;X}cZu@im80i(%&U*dEciV?D`GGUt2$8?Q1VK@)nhE*#yk&U&1G|xw?)l6IKhK-@1e4*|LDg(7gpEEoBs3H=crIgwkE6x6 zn8deH4K&V@**KG*_UKYyjaA3$dIlxdNl!- zoN!pctMlOnRF8XHNZ2c>>7mEaA-JfRFO@_(D4-7^GRfm((L8!=D#(xxIxegyS6syR zmw`~UwZNX05i1s)_#jWo{JQ`N_i;q|?Q}ZnzC)LN1jMhIYZY)m9E3xnD}(VV-FYM( z7V8)UMjoib_^e835+*7t3YN=Wyy)hefo<$^?5P-a&&tre_?Z*?CM`#b{jCUl4gKT$ zn!TgxT*O32hGl6=OxQmQ{cvM{vE#KnY@dBc=)fXuPK=)gaW+H^F_}(^B$oWwlv7Z3r#Z9SHBr zVBIl;g|icGG;B$*=o`faN?DGV;j$O483P(q#$V{eRytDS78pim12Yp&zX}il#1}Hu zg<5^$xz&ir+vvA}K0cS<)Epwr2ASy3>{9=iKl@__pa3@@5%geWGcd zxJg~Q3ZnIpeIEmH8Tf|Sv4|xWhS7AOvK=iEIo#q6?b{322fl)NAQmw>9O#75#9sgg z>74Fvf@#jpvK4k{u-I)@A59uD0WipPLYS>2)GQ}ba#B*iojZw(bbqz*5z-5TJ{2;7 zFK#(;Pqi?*1Bjf2;6&(T4F4ek91RKH!n=(-Fq5$q^AzImZ{50;fdLrBgEKl9$db&! zA$o+a2{PJl8YjWN&BwqR350`*IsmW>z|AXJaRBu*G9pH5yL=CQF(ez%^Pb1@~KzG@7_U$~XLA@0WCS4*715CdFvEA>t(+Zf5SSM{T zTY-V+@G9#Z@;kQCXdTQSBlfe+3?YkGJRLl*U^=!z0JRt zXiam+fiNP&n=nIT7!%Pt5aUO?>kbtP!j4D~8)oM`gjyHMd1dM(3H{nvrfno(#=2a8 z1*H{Hl`*R&0<$8I2^)O+a&Rd~JTmMLft?pHQ;Aqt35JL7X~I&9i|raTcQT=ev_)aC z1unQiCbB>Ao|72p;zA))E6Em;nK4f2MYG3b5=+fWr4te_$Xp!)WndK`y{z<6O&J*( zT+EqLcx{Ks)8AaBU4q~<;BST1B5&GmGYxEIuN^o$QJGDq2htfhwOa zR?IGOv-*8xdJ~z9mTcDG{KjDc$1cMlh+YU!_N?|$SIH1Q6zU!6jMzaw4aAU4%r+s1 zn=B8SiP}WBhr%<$@FWWESc17CVGG0VdbdxLnM4Rx7s0ZTd5ei>bAP7$$egr9hCB#T zt!zj36dA1*2~Zaxyb9hv3HszH99P8nh%V$^h9w&ayGKy=_Rivf+i6zqT^RJDf;Ap4 z7N#4*j^aJJ@!78!qM}L)5&(>H5Gc2TW2Q(Kl;L2U4(F5?AG&hWm z*+Ka@N+aljj20laXj~l+I6filYBdSZ-HR13#|R37Z=*=cG6qgdQSG?r1#uJV?(e z>uZ9+gWjx3(;BDziP7xY80?JU+Zzi=mpqy#hLB{!v98R%NQ{@HPrkHn%N!%EVeq~Z zOByDVC}3DXe{Cg&NKo32ZV-j;SM%Z7H~_y9 znUw&xn&fTZ-Vy)}E-LW3Jxs_L-6a640;rfHa7c}&&tfcNB%*pGI)n%XaOA;yGHmWL zKW0lkoan-&)**FC3>5%rj~+mp zwf@p6a+dMENX*V7?YfvH)@c(6hLDjxI~@nt$a9R{WZdE~EkUpun8l(bi17*BUZfb6G;O-l8DAeSqZVgrC?FY zFjfMC3`5Y?htG7J*!X7#180vijs38~U%=cO+NbXQai`(}@JZU#=vaveSihZMZzNIN zG;>&Wov67q_|*hCydfD`F^wz!@scF$pqodC3F!_ZY#7WHUAS;x$S@RKIua{oF-Q^E z1~!1!Bu5NEBjA-jOlAY2>)4;13RL=_mDEYjuAKpFiNZr_Gek!x^328k(Uag!q9wHy zACvH5d3kyMmo(t)7-(t0ND?w57`X{lL4{Q{Vm!vkdLR4r3q|^50ksKK`yqhjlXzrq zDgn9V8L?EI;1V8jfdGtay)PK>ip*KX^izTk!|>E(iUu+goO6!P^!h;YkdR8OaAq0( zw}=_{&Ye5^`n)}*p#PIIf~q&3e>oeQa?S-zC$eYilQ&5#7MQ#)uqWgg6HY6xhRmvj zfKH{6=^UtXaCArtAbJd3a~WP_14y+V_sS|xhl~%|CM2YYX>%21k_!Yd1C1?VCOV*i zXdyUH7ZDgS97GA9E>i%vYTH9M1cviO^UXN`(3_4nG!b}I2uLBoniMykzDBX15ib(a zY=V3)D{d7HThHrZu!K=KUSwP_PFhP+*6sE7M{!Sa((~GyGyQ z@E1ek)DdWml4~%vE)FAxiG`CGX~{%u06QD?|k15Yt1$1T>HA3io&|pY^y00 z$~wiPhczgaB|Q|%Z@Md&&i(BTf_4`ygtp8syv0RUojm${7Vr# zD7S+ATeO@PgMzOH$}$exH=CoPmXL2wE@5<}y70#+O5y+SNzo} z`9$*l9H;&`msYpZK3C3lZ2LYvJ5?+=W4}`+Oie>0xGvSmpzGnpkH%;jubG4+fovDV z*_DnR+vPMk(orhvF=3No+oHd9>(~?S93N{RKwt-yI(OUu8kYHFk-!@lE4{?xY{{@1Rlg-bdq zh3TlNMH%P2_uddH__SobRMbt514_XK3p3XF^Ak-oJ<&lm8P@fCE1VOLM@Z@65z{40 zc&ZcBx5viCDFxGWN+tL#j7Ek^xxK*G*xV@9qpLPiQ-RB8?m63jTN}kni%2i+=p%tu zyEB`gOpkUaV+_CKx}@#hyLW7+KdnE_XFi!Hn?k9>mN>ZV^Aq_s8Fp>04vSYe+p6LD z$MN(27lJ(@RUszciMY2UpT&hjNxS)(@v`^tKjEem4h-d0i?rst*adPN(7tlzN{F~+ zV|vo9`yoX|2j{=8_Ze;ux^Y7@-Mr$Z>&WT(`5~W>^3GsxiEx!Px6X5QPxW#JbNb1x zcm%HJl*($B)ge=luk1kvN_!yBAVp0s+feXCs-fOJ{u4jh7N@%-Mcv2F${#tBbfL4% zswUy~j^m**b90`G!A%3&O|Q;5y<^hpd4GF*L}};u@4VZ#9m3>k%E|p1^Te#`M6!16 z#6VMRw8Humi5l`5R<%_P&rO}ay}dqa{;{mAio>P(@s|wi@?OUz%j!7ypC5KgzdJ*X zkWRun0Qw4XmoJmZs)fP$M=*3hm#o6RaftX0Us*+$7#Y zRYEtz>fT`9s7h^u`X48fwA9-QyvAEx+L%0k^wlPld$@A>GA}RhQKKBk&sdQD6|)!z zCN8d_@z8~lARop@lWmI&I{TZ?U%GhlqE@>3@j!M74TT`i-C}7mJcIOpf0&lutSuKR zd>VKB5kIbzVvs2~qIEs9)m=G7KO-3H7Bhc0IQU6S47UXP&5do*=^GgsPQ)rPb#`_# zH95}?WC}=08OEzd-skoje!ZfvF6GgiH*XkOSQ2`A&bC}A-_1PMD5-PspzoKLmeHE= zD!s#Biz7yY?`LsIxvIIed1XF%^5natBt~_&Q*V`gvQFAUt=BH294$FHxt#vgT*t1D z57(64d-TXdE>b{|f7h;>Jh#!BxZ|6bEnl9bpJ6pq%(W2JSsvn1@leF#W@^EV71l*9 z_WU1L*Qz@^zp8f#H+oX&J@5YR?OQTX#eVBUxN+~j3$sHy#aGvz$i85Pg}^T?tX>+# zRTx#jlrqJ!meT&>)%mZ7wtw)%{B@1>R(D~Sn-8_-ceQ#9iF$i`o4@mCipbun8nF+< zv==iYtSU8fSuguS>_cp%RV!ES+286KZPBV@;$?R6(xr-`KbHgwmoPFiKIl&?Y^_N( zYMPts2#Rp~!;fC{o`8asHvZ{X+noXc>!XK+}MjfcDcp!5^<}*#5DU%g07$ zVajy0Vt?D+8E?b)qnr{K-g?fBlgT2kqeDK6P2_!X zh`(fXJhAd3+ua;?QT>f!I0~LfuiO2cZ*opr-~*fCYleozcwB^rI_P9U=_OG&e$f;Yjz?I z3k>T|B;t8XuFGacbA;-M=dJl3kMR0KGB8h#a_e>(y!v?T;of(7Kg$GS2e(T|G)~RV zKI*NGU$lDVF#e;ldg;=o4-z%wLw6gzay2_p-~ReiVDZ;IE-g+WZv82l$K2g>+{QjD z99L5Ex2VM4KF9s=xoK%AlYsUEMBciZq!Z<2>@TfY@7|fF9)0z?zyIFRt_l$@@2SUn znYQ5)-g8-qG=YhF>2ZoGDq`3|VtjmjJNE6XG4z=qk9+oP_=zzWrTrU#N&8-xSHDMi zI7o(f^~Og|gwFm*r?M$_Ax31@PyJ|259Ch2(5XaiNKPxT;(nOz&>hOB8OI_kE1Nb@ z!gxzSGf_Vyse3*}GyW#)-ZR(q3cd5|^U`I5=$0&Z z4P5M&T@()f7{DqLAY8&O>)nj27LN@y)ms}Q1|vCV^fo+?ws`6?)EbAp*M&fB>`;1> z!x~9>8nGQ4O=|4ZALK^JkXPIY49su8$jQlR`}5~dDN`&yvSvPpik6GiJ^o__0~3?k z&(Tq7Q-np)Q>RXK@9rsKsZKRIz`(%JAv!Tut%^m7G_|LMWfZ}6v*J7B@+;y75vq|g z=Tz_q$-pA+*u&G@56N^{+bS;0#~$4wEIe{?LS0SmWC`w!UnkY({w}=>pY;l-yEa!N zM^d}__w4yJ*7LdeW29_bn50vg2uX=Yf*=hBoFQG0-At>eF@D8N-t|{Hi9)>q;hFYJ>nj(Zl#jUit>;Sp z@xvxIHntacb3#k&E}r*Es!?v=NGX?)*kbb}_l_M$#{26h^LDbbvd)kk?AW6gF5yt( zAb_a8Zhv#s$B)N2WW5b-GY#;RpMB|;AYOhKoh;dGceiPvZfB(Dw#1%!+t$2n{Y=|| zj3KO-HJ|f6T$Zg^;W6mv=a-C-GJ~+r!(>$9T^)D4udT2U1OMZp4wCemg1Xn?F0F|H z0c!`oWR#1L@b1*}>9vE|nAo{53BUn4vxB)At|Q+zs;-|BMF`W0Rl28@sKG^vR*}oULu@wr$(|!*?3yI-gs%bg64)hK%*p@K;H%nU}x)_M78S{^b3v zHeX)~P?uYv{Ncl{6FQ+)mHB`HgKk{2)`GR8N*ZU+CM;ja7IXJ50{*{=LZ`a=ZD$~O@bW}&fNXKH#Q-Xm<4>M$}T=_ZZ^aeA3?kl5E~*B$vuw^ z6;ZGK#apN*TUI%-=a3b$=v{6ONynolELZ&em>=m>=_+pAxDlv8y4!20;rSmJHe=>? z>*lQI+G)lq09V!@9|&9Fzrd$Y@7}$;=8FRM$i0UT6IEsBwbJq@LNVwmdgz1v}cCa8|iogTl?fSeWE9iUXC);$oE5n%>7#!rXmA-X%#{+q& zXvQ7;{Ij!sydy}qZ=%VrzN_NV__rHEO8k;St!-_KIzIOcol`EO_SiK0BV?Z)rvJ;U za|X|;`sdF-3lNT=vQgTrXqdPz>4ZSIl$!?b<6g{@pBX-j-mIp1T^!=)4_Z`)saJ%G zN}B?FkjzjUqsRbc)0dh%$ZyYupYlztUrd*ei+SOqt*iS0u|~&c4$1v4ciJxI4h?BL zMI@_K+4){oGNs+pGX2eaU7UaX@VFpW3ZNtg)Ho<{H31@N*1p)VsF@2v>GFy{Gt?PJ!2d`hhF6sQEAx-8Lf<@>7msC=J z4HYgL1H@N7vMbR0@!rwV@nx&`>^V|oVGhRF2Nv>^v=X0OXV|I4KNCl%NC5Nd)vLY7 zrDbLt`3FXQ1}zF>*38sC)zd^+-!+~t=JxY@+guKX(oNe6Hpu3|-?KNm2XRU}{%8=! zn?72%;%UA&derXnY}oBUu%AD%#-NMU@3+3)b2x(lc&FTb@c%X^4QJ-kO=gKY#*}-pN%+k=1kA* zP$5DaaJV|6%}di#dTN=UgB^l_wwl_l9G9U~YzIStMSlC%#?y5OTj$yei~wfFzf3kp zD(EF3CX-DJ%;c886E`6+Vl@<-Jz9Byw*K-bTdRY4l=q!1q5vwVyv+vK!j0VNP8#oC zun{_pwZZA}LwEq&5PL1Ry;NR7!TLwTbN|4=-S&m~?&DRszchs3ejv4+9)a)>tvDV_ ztodN?X~TE#-YEu0xOF|$i0uDyVVp<#zH6X`xw#d7Y+P8V>`;Ate{Yjr;R#(`-RqGV z4rz1iDZB=r>m?~#zngeZ$95-&UvO|3?|Nj1ymx|a&q-f4F&kb*HY9dZgPiU8^!Q7< zMUeh0o5XdS#m)jy<&2bUu1&X4RjiU-oL1ef_u}vxWe8$w^#mnok8E{Xg^eZk5Me$*Jl(Qa}z2-wo9<@DB;_>RZdt~ zc=eh!)qgHoF@~~L8F>2Bt*w7xXGo`&+I)GbNI=`dRH>{LN`cUQmciS$Zzq+cqI|av z_0fJ+V9Z()^$hItPoUBZ}6+9=QB2!8?0gP<3NeKCgm zAsGWsGO19H1PS{1V+ll2_Tj^beygA&Rc7|7%vAdlayir&7jj!7I$JGd$}1mmwni`}buSYqXX=LSM~?FAAK&9T ze6r$!@E^02L-oh^w{XW-Cz9XT(BpDj^e#UAWdxrWolk2 z$KM0Fi(q5mV!?^pQ`yyS|hyd5EHA*G8Cje z%jvf(N9zpijD}A%mjdD7!ByS!&j@@kK1Ftasjr4X%Wb&asz-Ic(cT zp)j9qcy`Kte!QOQp^_$~_wwv*!pLBEB%wsqF6G+~_Cp)!jFFW!5jUsLu>$PgM&)KY zN|F3#;nSB-o0^`8SK$Da)YE7YSz8%?Kxm4;pF)WeCp2@`SrP<*K+;g*0hudV)u)CN zK;P!+?JBRStD68m#Uz~J_afP13Z+%|8@Ot#&2Yi>L#*d5Y0`k8DZSsN z*pk9a_=x!>CpYi1|Bq-4?h>SUo|za(1`sX#dj4$V3p3-UKw%{%B@M8aOd#SAwk&5S z289ycqH`j$ODgH)T%<@zHLoko|0!gu~siu%{>- z1yD+E*suX`qV{vNg0us`Uxs6^Mm{)?FV9Y0Lft}eh2pYh%R0yR(k>Tr6#TZQyrE&( zw{PE+n#}_~H)lJDT2^tdV;5HoCQL4Hsle{t$9<;DO&ozMck4boC{#H2!hPZgpQ1jf zC@_OB-N&uQ2U~KRjn|NiM*Xl~+Ophvs5K=lj2$bnT%^lUvNpq7$L!3RqrqZ!txv1t zRXr-e(Wiog|N2lf7^E)9KDQRyElvC(m-#1tQ&9t%wcZtfSs0)OK#lkmY-)&PJU8Ge zDR;UzF)^Je>7|K5W`AC^-A+`10^zuZhV07y7NB}1FMPk&{R+u=?+2os0S+-bZoYQy z+O3$=3UAi4i?>T8acd~Xu>erEXpOnSB5mX+dHhXDR%TH|p zJ@nGHMG_q4(cskVE;bN~AFL}O1dJgXx_6OZq6nH8zRM3|Kj3_fkjC8$7?upP@=c_e zL3W3vQ3IyRsq>yrUztD}`JRc9F=lGYRgpZ=kpPy*sBcvfp_9NN4HhnXXV^4WIh=4I zmoDnOanV=>b#M$W>M^MLV2@nzK2+x@JCClHnTk@0kV?d~_v2Xz=+sU%Oawllnv$rC zs;I&`{C#CiEfG!o9X-aGX&ZqHUq_IEBuBl zbF1TL4{B<(I=i}*f&oD9-M?>ck8n+iTDgqFm-@c4lHmHvh(^-@b$s(8J$<(di9pzd zQ!7ma0LPR#x-YQfm1k`D1=aUuWg6z@ae!8NC2Ll%zKe45>C;^|g2^h7hyLez2o;MY zM&*a~s`>f(TCkD;*#>vl;^({wbL|Z5^nO4JL zx(GaF2FH#CAfZ3KNq)igD~Un)`d^YPhovEJ7HtX;CZk*GyMC&T${HzgmpP=I2jS3Z zZ38>WBMlcpa$rB#3b&gsU(0gRY3bCpu`x%KtNI*E#0c|5zHEHAlZ!cbnark#EtK@J zBt!+=R$mjOWySGe z|C}A>`h>b0->?bmQ#!TRPJXX3b*f;o%{AGjjP0Ns?#UH=J~$%zb<8$60lIyMp6* ztxkDcn+cMxI|KyOlUo!ukk7dJq@%*n$cV~zS#5;8)414{Cj zP`p~s7q8nC`XDjb>pN{z^J{+@fD>8EO z$#NebA8P$mvUc!^sG{zHrV~(%VIhuor0~qoHC?+oUBW@bcP9i8_72?Pm;-9k=3Nh**5X z$#pq@&I1(tQnNr3XhG3Udk(Tzvl5%}+xKTl{ZqPO35bQ-3S?yb|3m5Rze^ze zDxtGZz-qp$uk#FctD~-lL@Tg&uLd!6fHB;uNcP;OUAiajX-Mjz{Ob*4qYs2luWk}D zek$S6)kF1JNVmvC5OeQKjNb>+WKH$!5Ex5h%I*u(-2@-Qe^DjU3PE6gvT!kD536T*@z;}yBSYUWWV@~>8wK^CY!I|v zIUPfL`R60Zap5vvUoIXd+rZcV+C^_pq^^1eE-x*cIS@UXpsscwMO30t60Yff^X5c2 zsD+R)4!te`b-rD}G?CgN!@DaE<&EB~9U*U}FfCR1M2#jf3`t}hbi)Ufj%9cGzGOSZ z6W#=QP@iKxd8eA(`K9wZs05D$$;>2Nh0F(vKo1-T`PrZL_!;!=9*BH8pt@?+$;%Wb z_GR-@sN)hrf&v?om(*TAe>*RQfU(d1+hMQi&XAn0P-`vtNYVyCfTqiTAa9~Dt->#Y zw&hVoS{8g&@%8+(IUrB``VQV6GHGW?0LDP9Z)g9T@6MZ!#Bmf$ef|QepCI`p5`}@w zYwULIbMj^i(@I>G-oJ)i%uw6ruUC?rD;Zpe?gS5P>i7&;3= zI%1%Ng=AsGV3hrU87(hC`s}6B@CC0)*d=dHGA!VP%Jf2MHn(cD4HR9o5-ynoc^|Q z#?2G%3E08xo{x|x%XJwNtoEvikTy_PSJ%%v{}@sWQRostBoS2%ibc0WcO|5xJNwSJ zAIv!W`Opn!p*jdFf*(G6{<`Yps7M8Ht4QOTHlCn${r&y^V%fEel^xN)_RH}}#am2sWwPfv*GLww(E1SkA z4<4{!i=JzECU;}gZVlj=hlBmOLj~0$RH^7y3_E(h`f=68M|vlL?$SXD{!5hmR{(}c zc}RJD)nVlBiS#KOq#k{Q56&!Andz7XSi+Qp!Tu+~ZgT=$q(HS7)22;?o(q+5h~rMg za}ZbviGy_=>)y8_)UW4Vr7Kx9ZGJq(s93$ZyeeYW&CSis`#Tr;fZ zF-ActX4|Z5LqvQypfn#2CSx@qD~8lJ;AUfI#`~3nA(tcodqNy4OP`0jL?mNWc4hm1 zkshAvpQxr#JYl-S3Lxv$v?PG9+AEMt);QAh=XLYSutaS0BUr~I%1F;bx%!I^ARGc z+ioIYVP--6>%d8tS28)!6z}W%!e`btr*}sSEKaeuF1TH=Rrq>1w3$LN^lrAzM4)(j z)4q{EsDJH=!~ev&%}ZgEh$4t^z|bV(JT-hudTzKF#1w)ld9b& zJ{jklw1Z!QDgoit4?g9UI6}&>6U0qiSi3aqDU0dd$Vj2Yvl-mV8A1`|oi8MRQ`?F` z-;V5nq0zLmN_u76l7w*4;?^BbuoxlKoumNBJJ{)0CqXmIix2wH8qK7oWHm*8yusZqHo!n=Z4vT z$-9+&IvEXjKJS^{ozNht4vWYNTJR7`Pv*ihEA26%dyCK)6txZNpOmqq)?xRn25TWX zVyP2k88HAcB3QU2$(6j#clFha#{Ss+Rx@M0!~@z@8J>&`#>a1jyjrVfaBsV0D8Gb6Z@HtnFrb1iN>|2`n}11^I#7#ac| z;g+qpp4}cK_08$#FK(l7g>tixJZu>?;5tut8U_=Y|Jk!W)cISte#eNrbh7?RS%0d1 zDqqPQKpWaQ&i{!++np7Ayfu@nqH;UoP(@9IwvVDZ3KCx z^A^oJPKJvb4f>DAyKou-;W0=Y>b!MYzP3tyx>WS9Y5E;kfHhA^+I{R3l9QAvsjRN9 zWqpEpugCmr*dH&|y`E zaVi`dDzS7D&2z_&l0I?D7R3uJ1zb;AWDD0E5N-Q6pd;4Jj0g>=|LdZKq|>N^I;=UQL-sr=S|cQhTN%y z;9_>nZ7!3*$H)9@$`0(=;yQXR85>%1pIhG8*r=qeT-_)iQ^Ep65#NCWP2bK?4$8@< zp;+sOIyv6F*uk}!z$R+Ni!F)@`PbeTyefPI&bQc`4qZDb$(W*!?CuCnq&aR&2-Euc z?iplgp)N{er)`SI@+i7eMq~ZVpI0;f6X$nuLn^QoSo2ZFF;cB%wm3f`5-Ulw*cN~N zvj5GS+K8BAkagVdIik)qa;Ol+i?8-@P=K29l62BiVc1a$CZ7xNp~SDh`knkYjDjE+ zytl{+0#40e&+Fb=P4SjPPD7E)FC$|N>s47r#ki+*H552Uc#(C(2=r$r90By%$-DNj znu9BZZ&g2REd|Jkm>DclfrCVRh!_wH?*u+;Mh4pSjcTl(_R|RAyt{TC3nm_5S{b^M z;(wlg#!V|pOL4Ld6u`*aw{L&0$C&uGRdimkL{9vRpan90dUGiyn74;VzrZsak(s!n z02StRx?4R*D?0BIYQl^M_AbchBu4Bh9B^ZunAx|3CCQY zYLs%5wwDtQ^7h2KB6wuL5k|IPv_eoFlaAqII0w!SHfL)q&~8ub;4XWiclaQpo+t+6 zQ@KORW3f%kziH8K)88MriC9RedxtjAGWh2Co(<$@QQJ(fd+-GalPnCTf%^kAa>&r{ zlx6_uEaj0$D0B3GXT%v97)+hmDYp*G3Dtse&mU~FFXh<8gGW24M{Xa472FLmfSJhN zDx}uY#pV#Icynb<%1vC$S9y!5=m}`u!7+#`*g%$Wd~J&VjZ#UpIN$Xjelg<#!omJ3 z*2k2UHDQx}_kr@OfraZ-fI6~qVuywD0gCPw8vPo13o<**c@Pv_1DP2ac_9Yr>FFVN z`EH{H*Qv`ed&5m92dc!l1AoD-5&a}OdbiSY8g-6zyXs%BcXBgSK+1@39UanU*ay5= z`v|g|b}pgN8gM+19Xdo73b!ICBP}rJkOc_2k7ty5_iK%=UcbH`4v@~j)@TeRnKoOU zyZ>P|vi~<};>kIV=&Foygcl-0_ZHZ})R&%1%OdCP@$}1tE2USl8 zh!nCDH(w1-fs`Ot5>P~j-`0fINES- zs5^klUUs9rbEZ}{neJ}nF9+)fmhFi>ZCik+i7bde7N7(QDo<4|^e$C~t?by6qO`O}%A9UaxwfVs#YJitzmx*cfXLokW2A-Txje26c~_jipL+U)-oX-I7U6%_3h zj~-QniH7Q`24;yH4qz5y1emzLE#ZfvA05~2}+!>dS=7CWbZy$O0v zmqZdhMf=xp?X-cF81RzEw!FN&n)t>fHc(unX;<9o*jJ;7#mQs4X5BhCXTr<=;b&9R z)A!uvvapuRs6jq#OP+1=A&ha6#Y?zQu{X!qtYHnq60lI;MwwdnD_NMKT#1P8#6FER z7N@6_fp^AJ$;3hoP&#@PDnTUt#$>l9Z>RI+<}0H0g&uSx<{b#<5I`xzZ#MjmZz5PM z^3LtskKu_lLIl)Sprfq+Yq3Bfy>Q{h#86ur(lene$p!yPW+)>eQ}ZYyGXvhH|HBZT zv9KUch!PgXU|~|mmsM825@#h!HK5z}0AV08KBqYw%N3O5U#~HsRgVbN@ad+F;4fnK z7Z50aa)zRI`B%#Ror5EVo0g8KYtFKdy@{=|M&oZ& z#){aliCh~WfY*T(L6KI`&^JlfLI1c-07WzZ{t)qSlO2a~0J0MsY*gsQsJ%@&7|aO8 z3SUuqr2mRk8!VLeEB|FS3z4(`{R%YUseMncRxt>tP`qUqc42!kU%yD-w5oN+zxEdr zY<~U^rXic|v;DG)3-^eGU#R-pQhO;R;v0wL{N|^0o{+6T8J75;xr3VCBc;`#g#~;e zX?`FL5BR53w3H%b)c4#mb_PXZMN#C$wVB~dmPpD9`*A+^N%dV%1s0@Fp;FT z=mnCB095#>jx|g=QGxl;6Tk}%4Af%A9#XzRsD6SA_%jKhT;C&V*J_AffjU4>V#NeA z4SC9424n>+cZv|Nw7~ljuTQwR{UI#uP4QSoS)RLK^{F@U$tP_4U$~(GMJ8~bRn0B# zf!2Hjlnx~KTHJ(h23VZ{482j# z&asblmo}l5Ovvaw26Z!OfkEt4Y6kDTkE-rOdA1s=F-iusi=fClPI@b?;25f(fRxA& z-V-M9p8=%(7h1CBv17-sQ+pjHnKo|xM#Dz(oA=x98h0$r%acOS#`7=+I^Rq{<922+ zhr|ri>fXN_i^k*TUB9bW(TJq>3swFbdEK6Pc|7{z{5f>!kkYPR^!5=O(6U5IJ2Sgn z=531zw<8KS+10_0Yr*J99Uvw8M>pK^y$25xU>r&Y6FUR0_a&Ok@UaFD*b%W8=H}*< z^0zdD@a*g^l?|lRy|KMV>~w&{5If3StY74BqnU&FXr^N*#A{!eDW|P@hYC;$s&)Dv zCJN)%!c`t-L2Dir30Y`&LHwKir_flAQ=0IwHpjTy5vU6(Z5pnCv-^? z4F_1uml=X6KIZ>SGyngUOmUP>dj+MklUHiHsnbd=!;+&{Ed0F(n72r<*LBHV=@g%p zfYA_SN=(dMNg0buc8MtuI^Qe2JM4??V?6!W@g4GB9h+V3LOWHWn@2toi+eL z=>N;^kQXh>T1p3xz;V+^)pzwo5>fi=H36J0CJr4oj9{S@C(k23YtIJVZ%u>vx zr7j3Y7mlGVibN$xW_WkKeGN3ba&x*zuxZty$UUK^*3PT&?Fuc(! z0>e6*&FXTw3VK9;jQ}QU>p!ND^AAzwfY8X4EHOjWr}eN`_nyg~kjLvZVl&|xZ%>gK zoT1NZruL(h0J)8&uC|u=lkxSR=&XxB5uu_ySxvbW0Sq_oB)4}mHa)!EM!|QSw@0Q6 zwus=EgaqCjcW5_$3H2*KYM?%rTi^H0xm;J}LkuMZO?&%Eh)&5Jl>6^tIt2YkYC45pHBUdDeZN%LL9sx8BP$O?&ZQYl!gt=*J+`oXu0^m3pen`oGQMG=_mGz zQ8p8>|5)tui6~e?g^z%r*FvMojdLC|z41(Nb-<6fCYY{h8UapA7y1S9Hlg+*D4usG zLO8l;YJjE3n;ocbC7`EM{5ai@q6VT-l3OWvZ(gL2dehgK9uEd!A99*TcOE)%tk6*j zS_&L}6nZRQurvHd5xjzNMzrXGU8f!fC3N#4Ue-XrcKXqvPFmZcU?vR@pI^r*r3=UT zo$lvpg$p^P#Rv5(Kz|~RGmu1M@|CpZzCwWf3D4%{=ZPZ*5J46E?z>lZt$BKcRb3d1 zmnBD6kh3~=s75>mJATgxgw{hs+>yGL_+vm^)RW^Q(1YkS@a4q0FE2kM{SreEv4xV$ za9cvwAkqv`s3DqIAxWTfB`QF8Qz09r;LWKih7|{w5zN9NcGBY{ zS{JL#?1lCMNYlL3YoPC<0OCkDYApoAbu4=hLO7};O-e{;?zT`3Gq`E(SjhauQ2-yW zhR<9F*Z7+?LgzUcD4qUfmcdN+*FZ2N;+Szq$%E56juz@0C|bMd=;&6jTzQL|2&B;e zzq~NJQ9powk~*h)qn)6zp+YJ_7b8qE8Xn`(oS_84`PI}3$}khjGQK~D8%%=|fq1NN zWPk+_s5$Yn)#stJ7WVGL#4W|KfpY#jAt&wfMy_H~+W7{$aqLQ8RqPEs@e}lvCwR}# zkYs>%e6>nTx~XkQ!NaRiziD9x@VVWrkcnqsnpdz9DV@0HhzkQAzJ9F8%suc+YM}cz zzvx5gx46`**#}X?7nHU@iVFjTK96xC~Oe75!u~D#)Q$!th7qkDO?rI5mT3B`fi~7PE=3e8+roM06KFMs6CJ&Jk!TF<5VgR; z3RYiU5@J1GebQABM;S)d%g-|goa za#+b192hZ})j?0z6r{+z+@x;7*$+BEj~O^b1Wtz6n)g-1C3zIxzg}V9hjs>OoUlV& zGem`li`{zU+q>YHj?y5~Xjyea$A}a~0(^W#WLb0@jl}iHNg>A2Kgp^Ajcy$DNZR8S z8vTd>F^{tk)B&O({7f8Z6{b-5#j$#Jk%I>wp&;6fW)e69KB5=B0;U(~CZ30=o7|=l@C6oAQd6bo^zox}sHZU^GSUvfp#sgHb^*dWaI8m6Y^&$(5&8G+Ym88tXeo0Vr(F@O)1!U zusIQ901IV8jn{o{_Bnw_2P4@FF#+7Amo*K4A| zJ$q2zsR3=8*a^(a7|~d06e{VIg!)Rm&lD?|#&y*jIs{^BZd4?q8yP4z=84%Ls;-}3 z28V`(6!(_Q#Wh3E=D*+D+%5TN^l4j;5QXANr+@ECUG`T*J5%W=XJQ30KfSg zd4hmKp$XfCJoqFhWDe^O!8|avJ|dkl^~N5@NeK`BS!&eSV?dOg6@~Mq()Ky^X?X!i zkdl&{R76Bn!Mk8$<+21(Ph2O&z61_j5nha7+k!EGzl!)C5J55Y{ zgu4=%UL2s20;n;M=voJF!jFfOVCZ|`;ra};$AlIdsKvO?V;Y~`+Hn+4{U7V4W1x}} zkG6k6fEMXH-MDd^A~`9DxVF$4Z%9~V(nyXigj0P!-|4_=A^qRAXwD~>BA^LJS^dm4 zZX;KN!~jnaNn5m(iz5+$ohjv_g0x7rE{mIwlhC^;6AGb#!Q zDoT_r3X(xWf#f$o?C#y?+`G>i_rCq^IpdAX*ldul`s@F{u-062&h_0qed_qiWt*2# zD3q15CypsmDDyihlzC^DEW%#~x4q@S4-s4Gv$o1shPDppZ44+1=WVUct!&LrF0k1f z*jzTTvgGGE$a7#Ho3X8}^<`0BUW>n8z++`&#LG50^9mPPYJEcEGKI4GJo#pdmW(o? zP}KQlj~!NVeAw6IyFP;1;%@iVPn^lx1(H(-^eU+rZa%!%#&8w;HfWuA z`J47***k%`9og?iR_S}M!JSYjNh%U?%jbThEU=yXX@13X75T+;e=qX?{g^!G{PzCQ-W!FjjNQ7q znLz?3Pw($l*VG9)e(cz9&Lf?dn#yymTdx+~VU4@JMcB|u;rN}cXL@Q9RKriK5!t$G z*90C4 z*Z@(G^D3x=WelYeYp@1bc$9LE_-iZ)0pp$ zqa)SodM585iY!~Y^voL?N2PgXj)PU2d0j<{>z7wc?K(dkp1*jNO2_+0;(ZI3uUElK z7_T?zb&fVzl~;(SGz=8XCMN3S#2S?OJ5TmywA+fRKD+SR%-y}aoRfn?I!f_zjc|)= zn8@XCo$rKO$j1tpe@fCin`gJpxpRm3WN*rWqR#KFg+T`|Jr#B6->2_g`>Z0{&dhD_ z^@gr(R&`IzY7;e+FWy|VdRzRZuSIXVY`dc#yH^AWnlW$L5;xk{pry2d^0{cu2d3wS zv1$piqITVm{#xngF)yzzH~aWhT0}Io8%s(kFU#0IO9$9pIi{9Aq>`Y45?93$NEq{6R(HpBaOSoo| z4^d0dG%$FR{>#>_y-rPIjhB5k3z>;d<6<18+^| z$1rg{S6QVL!*?UE)+z4h;NWO5Y=_~UVrW%!R6Ev%lzjEaYxt|c{ZZ4fn>m8MwJ!Zy@#795r?>Y1I zw}+>q_NXVu$0$cRA9;C~{kYg+!^X@@Azg)m3ir#+3$_Sb`W3c*c=7AvG-rlsxjWsV zbg(5t__es*t*QQ|9LD#;)p4hv9ND83{(Feiw@r95li8VR)4Jq{t5>fwuUYeiOF1&U z&dSv__xdW<*kpsUJsvYt%a$*%{QTlqyP2u+p2SPzL+#leAueQDhla9A%gA(l@#cSz zANUw{W3!+sRkr)nvoNEHnRi2DW3`h51-z1yl6e!|aUr9aR-Ng|vD!xt%`x*9E{i^P zb8YrO{$#2_+4^#!qK&H2rw^YwbH-%UrN2>xWsk~<`HNPRBn@EcbZ?*iaXe_Wt?lBq zYu92hu_5UiDTXo5jP5vcUM$p%vz3}bIYua;od zH?P~wtDPB&J=#;N=TRMfCd{^0$HAmLM0~Tjb87x%{~@=T@eZ4VTWeJc@viC!xeaN? zACDloDjhj;HBvtCDW^h^aZ|RPX;t)HUDrYB>Ns^ptd0+_Zmz3NHBn~ScXq#=`=TdL zp2X_pq^DanL}I+hCnmb-1v512?M?hL*lmbb4<)8Ylob^)#CNer5IqDPzn`1_@zp2x z^pmSbkB2+T)m>euROdV6&M;)50_D@aDdo0PKQ1wP>y&9DACGU3@tB?2e9$^n*QHOe zy(~a+@#<|=&3P_Xos1BX%Q7C*4E4yAJ?|e&(o0HC+~?L(v&v)mU;Xu0mJJ)CR&EjM z?5#`blGufqfGz(4Q=EF?^)h9m0LnrDE3Fkr11R2)O{$GJkF|oJWovQF(f7Xly zCl1K@?;A|z;N%R#Ru5jqD(YB|6>@Q?z04@xs->SXlGq%a z2M>Ota&m6g_jc-ziF#|1(PUrkW^jzw)lyJEu88e;VDYN0`&Wy7_guPc*?~j$z2EDF z7_+^tg*R^V74?34MjkVO=Uu7~)BHsbBxk281x%|-e!F%pP$$P;#~~q3E#biHTP(x5 z>df4lRbo@$3k?yObsKJPmux<90BQK0wO;LT$j&#+dsIrM7`1x34KmWwfl3i41Nn{K zJElo8s+5b`Z6fNnQGC}cHzFT@D}PMKLz+#F_G#uhr)4_~B;uouzr76%v8bWz(Vst; z5+C_+RJUB=(Sdx+CQ-!(b|0~)?$Z+{pOVf8?LU82=Jw`@l9CeJ$^ME6uUh2m>FX=E z9Ef+ov}YsLs?v4y1kyI@r{XPd^=yUu#|+agV zw3ptG)l7@Uo_~VvT+Y5{&&gFcz6Q}P3p{4sStZ@IF%FENBJEHqCh;Gif1MaACou8jiqI|YpPpVamM7hx6!-u=;Qlfw-djjhV+^3zfQ-mw` z25;cjQ~~U&&UG3VixPP#YIhPFN;$)_sjbJw>B6}@XNK*>h>2Zyl`Q^ViC}+8hu(*n z=#T6_)KN~q#j@9w(Os>XYJAtUHqouRgQWXw%Qw{gzJ^`EWwbZ$&Zq6b7X*HM`TCX7 z9-tSC1XimWW;-54!Stq(;IxueR7Evb^S2$Js`T~s6;OUE=eK)@o}OO$cnnFc5wBhyBQdlq>hY-z z{8^6$%PfwYN_|zSCo=08W$nuvS_^XAP%=Bh}|X|gOI zLO_XZ%5f+wFE8&|!^}+8e=B&SB<_*R*3Fw^{rs38;ijDRYU~bS#(``)I`}N=1sFZG ziukVG_1N_(Z^4vOLxz<)#@uf3i!{As)z*Wjk$J1HE?iEP#X?pAJY;5NePmLA8LD`u zUz}>+rztxmKUgs2ya+3#`k}~Wk_^cbA^54gmOkKg%5a-g+Zv0Od>xW54-MpoVNZ)s zbcRhJ-_j>?k6c@3QW>cbdnW8US<`z|V|NP(sOT4YlN?u@4yc!g`v^s#aMsEF?u@!2 z4j<*rs8+{<=42IfJPrIG)$H8EUEcTIeRg_GeloLp%&%a(2cTROjYb>!7HkzMQiKTT zE}PxYdy>M&`(>*wrG%+JyNBm>QBgONQ>;2YXHpiCQh6@S@GCori-QG>z6N7E(PlXB|rrvi<<&{#Xj2u zsC3Q5;)Hs-Di#%|hlj_zK>l5YjM|+Hhr1uk=Yl$WaK=kAj+Z-530gLO;y0acy|F!3 z_8upYn15}0*CQ95d{?J5)9RBXxoM`EMj&IE0mA6k9xFMaqT+Yt=uwt+>%yX=cfWr1 zDjJ)eZ2r9T9_%{j(cT!OS+n79?>6%rde^6#grQuCmJd9j-WLWO9&(7Q5eXv}OLnuc zW&Dn#*NqVd)ZHxcaU}h|*%*e^WY*u9wOP_VcWQc?ftNd__W*Jt@67>jR584{-;YGn zr#1a}bTkzu#=}W5BJMI8ee(Vu0P7#Byh^*evaypQmJVTq`uq6!WZU-zwc0Hx_2+i^ zmA;HJv`Xd!6WiiXX=VZ8vpLZKNAGL_O1X8itITqM-dt*;x*Ia+?!e{T8p+2njrsn( zdWirx;!W;K#|4zRwKGpwR1au1$7}GDOpJ6iTT%7J`d}5{iY%?N%P(9YEJiq|<>6C> zU?EZ4PG8J)ci@go?d)O8U8i*-PTpr;zdjOo=d8dl=`oW_z+d_OCae3XPhuSgnonYy zQHF{4A)O8%I+f-!W=Y>$riYYvxIWJ%1F@TD`}XbPgRj=rR(Y5%kZBw12-pN*M9x8{n`>cAiUL^*m`!a)s&9{zqO78nlqUhWR{7&H4o!CI z*~LGq^E>BLw2PLAQa-%}Xr*H{%LYW<=D`>uVW}dJiL;+3x1nW~7lCr6r{pd>s<)tY z%cj_y>vnYmgO5Eln?PDu-tPY6$%P9SR8Y37#wban^7fPQ-uMIw$N5pqBS{Z;g-4>Q zxI1NBPF($xRdwwB4tt%hO$RRiPV!t$f|l9TkHJ04k>02dBarO1kfoH7P&srY#xk)W zfrbOI;v;uT--kL8lH@hBMN zNzs51^SH|$U?d8~6oKoem65jzKL72v1*8%Zb(=`lb!xxAFAg<_M@@j9dkhJMz>h7i z!?%sPe^kXNS0h4~r(4vgek7P3_$M0GbbWzGL6OgPI?6KVI~{vT>Gl55Koy=@ETbYv zjRe59H}|TuE*p`E1inMJ=dt6LrQ{#y3$O3dNDlw<<%@tx1(j4+U?=jPJbq0s4`9~= zlAsEA6VflVS3R)`l}ZB24x|nn)EXcWaL=~aYuz>q82c_`-W`h2tVD3A_a^?tF4LLG zu>o~#{B3R{XAm;Za>)7P5u#E}tM}wh_UDi~ce8*oTi4LD49CF>(#MbYWOalnlZ=Xx zj%Sp`_Zh@n`nY(zX|vKCuV;XOIFeKB&ClXBd}T2@q4IR{Mqw$cI*_kAcQEH5-W_ZHQP>)MxKvF^i`N%6FR#qH)M=M%qGUvWefO?L@hKj>CY^%*>3g zy0&o9#*79Fq-l$tJ9oatt$OnX(7$ZkxY5{tpxFZS(glPT1#ma=00?ihE_dXH%#Oun zZqa}HG3>Yk9$W!2^)?cJj7kj631L4k@qnc_AL4FSj7Cc2CDBK~)6-K;Y5l^7=wGmE z3tTLMCsHPJPyz)bn>ePSP<)^J{pIpV;4w~=*pcKhuz?Iqe0Om2@bqVQ>t)-<#OM{| zU&_+v+`s>WfLYDksj-4tM*TNK`j?Q2?}LMU2oFMOX0<}UE?y15(-co}hY-Lp3K30H?RxRU3Kpp+MMAlP8s7e6X-ph)I2F z%+gh>gb?9`QA~Zidwd%o2JO9V!NjckS;g|C^M&5j6l6Gk`TDrbS#SxF%2B7jp@bC1 zxXwL-Zl1FtqI2NrGvkjtzxMQ)A>s#q`*ErqgZvhC>07t4CZm@xU&@0^P&jukGzKX) z5YREpy7fp<-{O^kKTe{(H|JkZU%ziMu?@lC7}uAfG_tIL3bH-T1A&UL(0 z8G3j=|M{1{$?L77Jl}YOuS@$n3&l4I70S`snXv-?hX z%#Q?YR$C|yl)JIN4-t<8hoWZ}j38ihXrC9x)8XWa6D8Jer%(H0Y5Cn|VWK22|C6pR zF|wPZwke)oui8bpxVS{!r!v8qSawN!5+3_gFrN(Il&Z0D^iaEgZ_TPDolb8DzZSD> z+h%FEiM+!63j)*`psaYF`8z{9M1Y@ZJhQv@olOdTT}@t)bP{aQ%fdqOO-wcHp&fiN zmG#Tl?>jNapg)hH3%$HaWQG409QqvVN}*)j;ghkW{MV6#v$E?c?senCM2p~nGt94+qo`i5Sazc?1@YuSnwRr6Pig#x+?ZqdUY z0Q;=ABh=^~&{!PMevrsz!|a|YP%QwyCMfyp^WAa)shBryiUA$qoW4oSF^N-X7A03JUt+rc4L?lOdZh}9rA56>k%zdgFr)G-UE4#;=FG#{IJH%tgiO|wC0jp-Q zg^L%Pp>*l4jPe189R>`bx83#ol^|g&9@z=R6D+$#q*85+eBG!fxl4+M&l=k;2VH+8 zA$O6wMKQRtOXX|P?KF!9A=wJt#{CBmI@1)efPoac>o~=iE?s)d$7jrW?%lmNJT2#6 zx^#&a{`vDc`Y8UdJUcVCmSdzX~jxm!864{lvW zH_(?4N-rog4+j6z9cUCXxDN!tx(X&riDA*ktR~C2vJ!js{BOBGCOF=-+ZarYZKZ_o z3~i7)apL#zvamKJ!jaU+VonwOvD?E?KFv(rf`sfygZG3zo(oJQloig;tdEoQE#fP7}(KffRh{vMU+ z&}A%pj8PpdTe9Rd5*r5@i;Ay4l8Hu--PEML))NIo04W8t`tGu-1C%chc4~V@_V4Bw zs2nr19+R@Ad)MXh$_AO+t)bXZ=Q#`2J=4Dd+}EvfN}M+r>`>4lhs5ivwY zpC1qsouDPel8}yEfXpEVqneNj|8V0|C~Pjje7MVwCG?MtPoYTl7cyf6@n!zsP&NFase?Ony8BOKqgEG< z`sS?mLdys_wG9-u;+-TxF=aF)pwf#gOHx4~1Z+y+VQ)}K$256b{C&hIl;xS)q_own z$Y|(Ov$aj7nxJ5{$>*C%UB=)EZ}@7|Mq#{H+5?OXQOApb9A zk$=At{{|DHxKN!Ri6<{MIk?~p`lO%mx`CcYk_&7&SNyNM!Y zNZ=K|{^c5e_H8N$N7uCtx~H*9F>iE`lqRScQS1$x>wACv^h}>5U@$0xCKbnkzMmzT zk{gjyV+(C4K^Z0p3i91U5yH+@`f(|bbjQ)VA*qg-^Ba^h134;yys82sWkF(qSb$=> z=4I&|RueA668r9v|KrPY3`QIZH5yTEpb4A+OYCdwG~$YC(ixHo6r9Df6<{oxw{DF` zK8sa+Ea6{`0qK3SksTF|Y>WD+nd(X!__#LfgZp~6QxaL2nq(l;h1aDR^$?Qj?6ar& z)1z7zP1&lIQHlXnKTu&w-aub;;DHE=5~Dk^PhX-S@8 z`mDL;gT=*HzpoL!{LQ;R^XsbdA3uN$G{D{^Bi>VGA#dNKBKf$WodI7sWC2eq zQOS`j;F>y6hiE)L;Q{+JDu#3K?NW@~q^c;0l2Ls4Eq_S+j~|ZLZro^jsm??ZxpBYa zo8}vyj)huWypQhnVoV=3v;OkSIgJ*IZ{;r^EZQJnl?IegzMPPdkO*mrClU~@u9;(> zU|JK;C7W&AMFVOIe{*kFRE}a)C0A6XliBjco?A{U?ff{*J7~V5|I? z4SKF;i13O}#hQ(kaGNkjJrZK^&$IG+wN(@mJ)4HM+~F8wD#tAH{E5;n{CN@7H%8Zd zs#TE>pX3fjow)N0Gjn)XWt59$oc}g}QSgSQ0HSrs4{b~HOSK-~a>uU}$_$U*w_vh8 zD4trk|F2=@zbsV$=XNHN-pD*%T&eF3h1$Sv7nORpB17lkqf>~!aucXx{2907iLyYU z*ev}sB6u$RE4^jP{@eIYv3auCbR@t^qQJbTd}COfUpRi=aUB{r>=76a_dCYj!mv+g z+|crwTNiCd^2evzdhSVTO^)2-*P5Jfvn4X~Uun6@pIeX=wjK_SU79-cEcx7vvsN=r zi)J=iW@+=pm63-(kT%tjk-)?B-0s3H7fvN5r4dNyTyS)^0A5 zyMb%7RxpXLLlst=Gmsx=_%0~MswF>UG^amXPIBt|uh;IAz_@9cF?f%z=#IOyW_|D_ zpJmWJVsOFrDhtRnmE0z8BupZx zR#E%j2Y9U1i*MHUwG`-)kB5~ZfoC;&rLWxnt06ZL^i2o9ye4ETJ9ak0rCCe9o943% z*LJeA|Lv9TEV8n)&g1O?5aoG6Cfve#W;bZy+=h5 z2ntlASaC`wyb-QchT@GP4^japKM^>4lK&o%oG z#ESLBR^GbvQtdggkfsgk38ewNbQDINR~B#kfRa9*XU;k3>qQ0zgw$!2*D5zwv5t&X zDwb^wgKP-eZ?0+~E`x|^)@waTVA~+7m1_LiGejc*;mF-J#QX{LPgj#eOEow# zl>&FSJVuQc0{lt;8m2Z?D3&Pv{73rib68kexn&6r4Sd95cea`r>qqyvRQani-hz1W zdB)%hL(&ibx(K|TiE~#(K(avSW9XJJ8mQnohym#S?lVVlpB0dwzttI*`f;H!3xf0+ zN7Txfzb(Dx?Og@a5(_i4pFtYM>3(5r((4gRVEi`4lm!p^R_~B zZZ7M*uu#8$w@%Q?;8B=_G|RkgTS$Z(alV17`&hVIG9H$jXe?gmfxI!Xp4HnW;!(B3 z6!Nn2o2_Vd<|TdH5qFatCzZNeLZZ264m~7okIXdsQfKtIx>8XRrWE@aj17ckLRXMy z7H)QAmz$h`pb0W{A4%>2LVo$M1Bp+MRN9C>>aIx$2FpN|eevRjZu#<6t7@?7E1Noq z3(m4Jb6>(ba`(Ortl&;?{Gdk!V6AYQ8Z4%TWBZt4yM%a&7~BV&kGVa*Zr3S4YIVGZ zGSK12c#V{*1TEomdyfLiXMCK6F6(`^iYS$f4SO4j04tOopZSS^d_3J()@NAJfec%Q z+)w)Ni-9~@8J7U~Inj1ckt$2TN;n4NKF~_aJEZhV@7O5ZJpPvveSzGdlv?Z75qWc{ zn|f{x)u2%#AObj+ROA!i8-RdI8tXx8DT7kKyVSn{6r*WSNpLf8!urA{XEt{`7kTG7 zb1qu3F%*EV;<$5L7VYWS*!>dz_10=qrsS;j%s&! zX2vHBr+w&%Ay8!$uJ^F6x=dGi$ZcZ8(n#(~+TXFB_&z~o1 z-uiuKLm~32fn+Dv1%jx-e#e!~w-Jx>xm#9@dQh?XVdEp=d{4|;$qJ_F%?lPS>VC89 zaVpp&d`a;XiF9r{2qwtBzp<+ta+;{1MZF5_3YDOZxMSyD zQ(T|O#~}>RT{J#zr;X%Ud zZ`QI7d@!sQYM3@iJ$}4;67L@H9fiX(gh7bM{+t1c<$M3Q$ps@T{D9X(`wVwhLQ6tQF}dpG|385t*rX4Z;r*=Q$tBDPagz;Sesjd2w|i17XL&$cenpQ~Nj1 z5b4ZwTgg8@8~#WBa*bE5)@OC*awFSf_E4iWJZtBMICIm25&7QcyhDX{;0+m5F8C-I zG0U#sBG;s3t-<;LP1@DmGIdW;;tYmJtPD;uXv=TkSNwd*lAjqoZx)0(ccGYZ7%15p53^4_aaCck^LnkBbg}T_14Wb&23Muz^?CjL0+dXrC>Z8uFr=zz_!4XBPF% z#zL0HxwWQo9WSs2(TxgB4J7Ia8BegLv~ZG%0M^#4|J*vVj9M1BZ4p+biFFe0 zU#d>XM00_MhgTe84TaLS9@GD0eB7k-!xNKw*bE;|zb1dD*l^Et7A0;2=+Nbekx2=u&hh#s@0N6S!NmRusf;)Q0j78g`?juHyy4c|l`k&E1+ZZ%rpH>QCwl00 zXXY3bw$-17%!JusO(rHmRFvoJxX9;uYG3sXxdLt=4$F}El40)<)Gt~AD=MiXVMcyP zm&x)^5g&aZeV_c1GBj_V^CEZ*;(6vC%lC%$DuRms3pmGrEn7^8UYqE)V{v<*Cln2k zpjx7~03_sdtMw>|$OE?R`CAEByi!CjC8h1Fk=>@u`?Pg|Tx2vZvd^!C~QlQ&HM z1qMR$#{aN`rYRC8O)6>$Fc&WM-h7)6*~eos5ps?Adtth*VOdJ9QgUE{?G_?HHM@=J zkbI)shfVSk*hJv+H+f>)0th0|6(kmSEHinFuPR8M%kby`E=U72hAi8_(`y1*>~Bn& zYJ#RJG}uZIOR3g7#$w6J@_cy5(~=)v;?vNY;r+WzA1%DGdM|bXLcsS_EEr;FK(;FD z|GBs|-p-M85)+;5(*qu}mB4A0@m_z@TWO0IFYZAw-PF$ylP?%9LLdFu7rTD$9`A2F zoN<$Ec}PDMptyDil-+N&hxlk#xA9(N-^qKN3QA9oTod#8{{8#DxVf6n*ACD13|6d1 zVoplf$^LXY-PO&F*vv>GgSj!}?r_!J5fvy(^8B&x5k#nhAQDmx?#)I{Z!Y9~F53UP ziP*OyVYh!DmjJ;x`|F)U#86Cj(mx@nj576p5>#?#b605;o0qMyVBx|TRJFPmq)9xS2>x#ji$yRNG_GQyLas-Z)%6mc)6P=eVZs<6$GY{+z;VyKMC5TF5#2+k)?S_Z$3 zx?mabN`5KDGjA|z358P8u6RrWn!hJP4D)ImPv_ji&z*w)Ye!(3161bSkXcbc_F4s9&!-2hvLRAk^2Tn%pBrCPJ1H@d3hg4;%Fpuu?AR zfd>q3LFtZ!Y26gaoV2|G%fkj^cD|i_uxIdVkxrpx!*`qM?VuwF;c>{JzbbF6d9S{A z*n6R@A;DK+r)cEQ$gt=TLJq$Y1UZJt?8H!AD1Z# z4KQJbvbX169sgoUwgNhNNP`(FKjKfPav@pJAi(sdSy)>q-PtA{)bGA_?OH!y-_II% ze0&O|S>|AuP4^ zlcnwnv4^u=y)wLKcoruvWNNy;Xw}we;%eAI@z|e!9o^FByBZC!G3{aCvOfoQ6|qXXp$jwhop)wGJ|Ey zmJL0;tQ&oL2Nnuxru?Vrfjg00!71=hA$^O!Sgj6741WcF2XM?IUX4TyLg_-ILZ^8Z zC(g+!gRU80Dlx8a;MG+@-x|mwF47Y7*ljcrrl#a9LN9%u#WIzPa#*}z!Py$&Ibd+X z`;G0Ef5;OV`D}O{ELN@XT$8W=<8r(wsxG!0CuNhfulDM{oy}`@&8HQfw-B%6;GMoh zQXTq?zg}N3V|C?c!6TLU@^5;vHh(}_1m=&pPXMSte*8!ahqE6J6b%G|GA}wwyd{;@7r9H#uKkseJ)jm`(+);K&ctz$EqCEv|&m;)B2LHT` zx_^Xdq$BeihZb2QXHh(Je@EQ0&(xPVE;!pK8x1 zL1ex4pR#y){K~zrii(D$f#1|W|1}Y7FeCfUwWqE3=7T!uO9cWeiwwN{4ug`5u2D*o zXLYUSk|j%$;;j&oB>qQj07=App{3jF1Ul|4{)p6K&%M??doA5i8=YhM>*d~|^PjV1 zGFUS50eF*^F|mrw>sWYM*V?|dMjh|_$6xm2U%m~O{zU%Imx$Udc)$Ex?m7IOErT8Y zk_;(*4bw|fc7)Upu>+VChjjz|G_#HXc ze|_sn>U)#RK(1{sE3PZIf4;v7w7AHhqw;O62bs~M3PF*rc#osV3o3Ku*lG|W3u&K}9?cn=?kX*Ak<_<}Kp&?mZ0>b6+pWWvbe0Ul$;Lpl zL>K6u5Fw}?plD(sA`9p0>3gI3B+;b7*Y_98uDfL@6pq8OUj;WjW4K(>rG7Q5XgG37 zEQoVt+PieRl|Li!!Gi||lSi7#;}B|&I8q^Okj6{+hfjdx$@(_N|9Jo^1z}|12#&~U zZfVg21St6y>suL~FR3$r79?3ZLl3=LXd@D6n3!+Lj6J8DpqZwUZEJ!iidU8C5ThWp z6AdgR9Y$tC%9D;AT$dOY(3$2^W7U{>29pMbBvv`<4)mRL^E%QT+6hv>1~mq0_(!WF zF+=JKYKvTTZYv=N0FWjPFutnjNC0t{h>q5mJtCw^#7LoaDilSW88nnyap_+&iokd> zNZYMmfjcqolY1hD3%=HqyaK_r-2O z&zCvu8+-TfKMh^*yZnnu(7&X^npoB_JJr~H;^k$%XZ^!*YcViRBl!`JeuzuI2tA+P zo+`X?jyL$ZDCurKEfBnVjI1mH56lmOt9Em)xe%#Y(Sge_$-xH<}hI}~(=Rq@iUL=`+ zv=?vQf6lYRtCS2b3fj%+n=ndc5z*?Nti107mqQ%pnV2c^(iP<8Rd9v?^SX8HT|=R7 z;B`?+)D}VdC%#hM0p%EvLg+lFkgLyN{Lu&yN+gK%@k!>fs>*!_L>EPr@lyeaxKR%f zIRaY3MZ?9GBJ)ITu7!xZI5)qFC<}WG*TYb~A=qZ3f)FbyslJub@d!*4ftK#Q@9a@N zSHSpBdW&Ug=#Y)Vv%A5Z9|QEsfiHv(9%0{W-A^UU7H6 z*!t*VJdrmwRHiW)Cbj--uH!R+t#Eizx}FtpQfS%lp~_r$z7)&5^K5m zi-Vk;MU|YgSe>LbnuvpD1I>A);ZDGzzfqu|1L`X|2BO7n>`})9adiFo^XSB)1UE&K z6V~6o+L4O4ciJKDc0pQJ$ChTG!4T4#hBI^&!SgQ{(DSX@ur4m+3ZzFbgqLp^Z6=%e z4Li|ePz&uDy_L=cAkmmNZj3&@-L0x;S|!`nRT6!hfM%tm6X(Uz7o_m;;2E^#M7o29 zl+VyhI(J1Et-A^#Vj95CDx_uDtR`Nd!QxZWVWJ+Q!Gw%Bp^b;7E3iJuc?_h_l)wH~ zV+_KoX1;4yhu4v=A)`*Rd$7#@*Ma82MaZvFT~?HWzu|$f5dLY$Q6= zPt)Q%tgwD63}<|9(dpah7jD^<-SuPeYklUWFw*fvx<^FOfn1a4$R@t1AvKoaXlZ#o|bG-RqWbfvvh$2>FeViHV65Qf8$P6c}Zw!usA>k@`+JqhPK@ z1oC#uJ9I@Ep!?<=4vo0YS8K1$ZY1j_DX&Ow3Ja)GXAEI0_^Gs)vwy)v_grLe-9NNLSq_aOxSBhgLzGXqwcaC|qWxFf{L(6Sr{ zpYnYh>gZu?{T1aNKkY5qSv?+8gU8u#eqEcv%-&hT0&X~xG;rbAgwD}gV>%5oRCTOxUo zSeCmDB&IKvscjHLxX&g@RkSNxz`790qmzAtHrn5`7eD}Ejb2VZujj*)qq=U|eOB}l z?Y@nT=qm%Mh;+hTK7qcqIP2Dz!sGWSi99`tmJ80tqX*d;P3%-z((qX;s_#vW5V_G; zDygZwaM7a3x(s}3ZE|62$w+L8y2P$DpQ?`VS}W7rNi_&cq{k1Zb~u6Wg-^Zg`#jk$ z_(eWuUiw-E*dow_?B3B*>yoQe_RKZyYftIu7Lmleq}N^%6-_ntcRPf>ID}?ma3Cc* zaVkPe%&c_^z<|^M!jK+NE>a!3jJ9n(*V*hcpo(TR^n~5-VpU3P=f5)+n#+MSOb%9X z(1B1^1^)oyQ&HUBFKZuaWZlJha5l~KeyveTxWIBJKIqZ{I?t_9KDM@2t#b8*QM zgAJVjdHJog5U5nql2)EE>Cw^A5rsod=;;8C#%U)!ie#&i?UiK7(EQQN4j1t-d=^x=;!Abj!;TAv>MtM?ch-rD0d?H2SL`X z$a@osz9euSZchpWu9V)Z7XJa8@IWI8EE+?b0?=P7FpyC4h@@tiGPref&!U0n194&C zNCUa-sX%xx2=<8@7hAb{b%B8(Id_6|pyF(muO^2eD?q&rM?EWakr_wIlSgh5}Xi3E-!f^BAI0pgp(PQ-S zC4lVadH1?Lu{dpO8L>Z(bX5vkf0n`-P0Dkfl-`@djBp4}Wd2sqY1sdFgU5kSX#y!X z6?78B>AAi{oB%L_;YKASOHyWix`dQ(V^b5(u*A=0x7 ztLIaU4}YNrA#HYrI36Jg2oy>xdLRi0gpi$+n2+d@>NIRfn$Lm%bfXe?bjZ4SWYZ9T zNQX8^3$(bHjrP`wT7ULLZov67pw|e1!C_EDB*!}El914aM4=27(XwvC@8m=&bkro0 zCQZVhV0(tRjcNdq4UcWMZqp}NC`dgTW5CVpSQw? zk<+b+M2Z+@iZeQb`1G&iS5BZ893XQP-i=C_kZ{YY2zG3RT1I3^Va$~x)ep-w55upg zV;5wF%`N~VFF96$JRHcq>agQJJu}{0&^~@=tH{#^s{$Qp$OU!D=bu%LMeW@V34JJj z0OwaAWX1t_(|h7i1o&hT`&&i0ENM)C`t&I|wgpgi)W1f|W5yM}<{lDskgpizxTxK` ze=n%DmJ?aAONo;H9e?SB*7MUwwvdu~?!`P(HlY`POkQxIr3&%^X*{7Bh$iuiVjkGt`MHu*Iq2NC+sUU0A5;+50F?jo{vFVb>rl)@@>B z$HTAL#BYVREj7eJB#Kn@V$NybKqb`?Otl7J`G`>swP++V8S!x3`u+FMiR&{Xpdp-X z>!BAA!vy)yC{joa>2Au&s5W3K`AQDsK{d7;E^ZuomYTh_O$zncEKXV(AuZ&9*fm(T zBe0$jF&FBsb^y+iz@VPQu@+}ALc~^K(U{5iuDaz){Hwo_T64wwe?r8u1^-o#d&^G) zjbsBLw%cUc9Lpn$xi&grSO`!blaf2OOSLXuq`L1fZ+%5mn>Vqud{lzXp5D$@~5<4 zvHQ@sDud?nw}Q1>aMS@AM97!UJqa1)oB%>eBH|akuAWEnMI#U{I1eIQ$Z^zus0=Go zr`>M3_-qref<=NraZmt%9{xiP(yp#hIvgJ3liMe39c z1c~QIdTQylfJSMEVL&1Zs9jV6@l`Ud&y&)NoRTmx+80MePZ|mQ#CAkXw7@fIc0Fn= zyH86&AgV%YIM6q6Te$fHfzJAQpzRb$Y{eAAv{%2 ziV7@q5_D)(;2X@J8Nw>*gJYmfj75S+zdfBQ3(sZ}P;;8=xJ|hPIRJ?qfd#yf+X~XC zgo|iKXQNNt-ASShsr7&yVO2VrjY9rPUIBmBjT}G>H>tgiH{W2O3ZLg6|B5Dxx(rDsn8v#_wi1 z&||4@__Md;)Cb_ASbQpRR**%B?yBh?y;&NSl+-w}5RiAUS05BSQ2?ME*c8H{;;Z~e z`<4cBkRNZ$tef68^n_pwJNvu2x{^~23F4uVQ$2`b51n_qlb3RuaP-6n)k*YAl1Z#i zI)9WtioDv5u$WgDK$GdVGgju^8GsYa2y!5u88FI0*$BmY0QPeZ8Af=E29PC&VghTi z8McW#Uvyq00jJ7O#+S4w5>dA+9hMRF*sXHHbfukpaaCZFoW>!@7#~YA^UmU6azqxO zg@fTZNsB!7C>F(&4s0jHCP<1|Vj56*M@M@-p>Tj<_u@bxQc2@ffV=H!Xxlzc|^%p|ws zI42b>q`Z(?oUTYt!645^aw<{g>F75(M2>60hhY;%qrDcAN)56TiNeJ5M1&HgwxF)z z8!NX&!lOy7p#*afZU;{4ZGKDt^woX9Asm`OOG%3_7pVo8%u zR|1F;+s|lgYiH93(R@UVvE(?9;MnCbG5khoa~oezPYUtezKxne*FOxaVM#ubk> zxNyOOPK0$85T>@@-fp710Y983$)B8`LFiHyv=6pXSKV`7NIE`(e@C*y5E83UoE#H{ zt%1ZrPYZGq)dWse!>GR5ta^3 zkdx?0mt`prBg#`zOn?Ct6hRbJkYpAmN=AZ6P!P!|8PtcUC?FCPNh*?qOi%afS!-C!SXEzr-wo&Nv-dvtuB`N_70Wg*qfjU- zBu*bcN1@PlQ78*lmMp^m46>GR;15B|6DpSSCi<4wwaxV?QrecLMkba<1{b$n(=)d) zFfrcGbBJdj_m<0+mZla$yu4TcdIOJ%`6b>hQ?qYzk)@`mRV^qKMs4zIL4;Vi0fnM? zP~!Lz1?zym1{-yS(U!Tv@ddhz*2*4#O>f5giDTS*b%{%fWK#R=YUadu^_d}hUt7-c zG;#ZtB)&6$muMWOuWZH@Td{1vfM1NHgj7ZPF5_FvI>%l8GTfchw{$Lv?`-Asa2*!B z^f{Yx?{<^VodJB3RDOEg3x&enu4hI23q}0MV)B>#b)0x^{M1nBS!jRR6cR#5{&Ini z$&&UTM$R`^lD{~wkS$w4{_<+UG9mIO<-ng8S@i!e@}Dp!%Zf^#?AKd=yD-+MHu2uQ zd*xmnXJgzum0q4%`|kaF&B0dbK%tipx1TZ`?WvpyGAIoa>8VM0ar5R)-SxLyT3Qlg z_nWsB8EG{I7|Y4YRqrX45t|7uDmqQSXwk>L3{pYDs?o~vzS`@n+k4HwIojCSMO${4 z8lVTF_1gO(-b^lh%bsdw6eot-lVXQ!bUeD_vii-N#7vu=Gq3eU-Jn|>bw16wf6&?4xz{)R z`aq+Q%}}W5WY=~d9t}0cCeouR<635*5KRQiaXg|u(z$%Vq%V? z!}n5eRjlpwU}5F6V~afo&x*{YEL*yCu*T8SG8v0xLWwc+%=fK|C?LNAFj!r`#c23TWH;uOYX+>G} zR+=d(n;V#9pr1wvLm3PBri6&b66MveB5K935%$@YCs5zv0~+c@up-Pm`z z+C)7LGAZUV3qD_ove&Hp z3hL?s(m}%A2|?QHH}1XQ+)?u6#n+T8(bj`4*p5e1seCKhL}PXaSs&Hb);2%1dDr>W zm~Gp(C7ZXO85d%f89l&oY^O|6MT}~au(U``(j^ajdwYK4`gEhI5v<NJw1J-#G@UPKMELmXIws=sA8*M z$tv8%7er+mml2&f{^{vKj9%K7Ab7{#Vv9X)!q&Ge8$hPmG8_gd*?xt)n{1j zlagP|$XXE{pBwdPr;M#+!L=;#2BKhv^+ai7`ho9eEhsMUPnGAogP0F0=&#DZUVOzl>q<}p{ z?fUY&h$`m)VY`Ue7RMh<7#SI*ZRuOo8-J4YA?Qm z#h2L|mo?J$!lNglko6J!b%VUGeFqFHPWM*FS38V1gkxLvrc`S_^0wM8^qMT~b}ZPKY?Ki<5snM}{%;NY*RSED^dCr?j}^~t|H<73%V z!FA%~NyDaG2iyLPPK7*2hpTm|QU$Jz)p*hvOho3~t1YyV^YZcwU$DG+g52r4+ zxu32l-8XZEQzP5jbR8zz{W3)L@uXyG$<$%s8fUCZ&tlBkB}DATDlAGx!VmYSAJhBj z{lTmO>%A9Kp=@gUO4GKRqcTQSe(}o9Wi9XA$cF_tuOyGZ=X@$wbvwV_MonO?p93<-N4Lz{X+nG#DanXk@rXg-v%vwIeL3XYcB<76pjrvnN0rt z`53W2vu&7LGy70oZ!3mg-(}g_5(NAv5v4R^jij@FJbv{`(us+mg2kGI?Z#qkumdcR zGdiRWHt1GG$`=Zox7{h6WF8p55}%`gW}gSEh<~SrJz{7F5R|S`gzW3=R`1i@ zS9Lb|Y)?hx3;j?2dc_z0J2*UMH9n4h?Qc(?o1L=Q>@?Mv zRv96;9RYgc=g$b0go`BZT>D=0(4=&xH$IPC(sty_sdh`D;j3AKd{WfbStM!&j57)7 zLf88Prq;2r1h(=|W0w{;H8nYiv9ljXT$499PqahE()Sm%2s`P)8jA%aeW^4kC#(d~ zjiAs*`(df^nmUubJq3FSN>Lw5U=gw;VGyYC8|zs~$qFr}nRdPh*|>^Yre);ql`K(M zZ@nYkRAui$vi0w+-Q5xNJP@dkH}~gJ1iQ?(R{sN6cXdx+8Ef?rtD2pevd}ol$0v8a z-pmzG_7cgMlasUS-o7)PyywO{gPnSAF^b9ti#iYpK;o5QeR_hO&|IW^c(VSdjUppu z$NT~YhX@8D*=qUn;q@L59spQ|Cj(%547zFQkj&vUJIn@*Ufg<#cmIC*>kU?Z2&IXE z`U@y0R-p=8rh?U187i?xz@Yp%d9~4|lO@HZN%PokhA&@UoZ<)+bK>Xcuh7X%U?(_4 zR8+J!tYxgf;XDS+$HT)T$hIePb8vNG;m$gy>asG~@!|Fz0s;bsTOgS*7)jRtBbBST)TGmIhdO4y`UviLQL!x z^zH>YjH&KXPnQJ{SCW-2Tfl^o>EY7e=GV7+%3rz_PJ9(K zsEqPi$D#=vrBo{Da2IH0YT;AZz?07OsE-$jOsw%cN9r|1>0 zi&afJN%n7aF`J7+(fBUoUPb`kXI;~ zomW)EYcV9Ggb4akN#=WI&x}S_}Ui{bl)lZx_VemECfRuCo2TkI3NcngD z9BiGKtXDn7HQra}7hjiCgQrRX0#uCGY|zLBy2M{Z#u?n*OawJ9?BRX=`nA8XO(H6p z7sz}MHXW2+zK*+Sc;OAd^4RkSNun~zod^@1Xj}6#G&I6#Zq{$K<`k>VaUQ?3Yz`w2 z-8Tz9f9J*=jlpE?O!DKDJBp}U&YL&=+}oQ8OI@l7Ye&!N-cdYX1y(NpIP>C^N7Y&0 zoKTWA9~^ANy2BG!VGUS*ui=Z;%u(~%rFbsQxFM0{Mi9S&myl&w$VwKWw%(MbWb2Lf z)%7Bi;eS0*!M64F1$LIU`s8ZzIzG_bgrr(ZwjOv#L^=SsRf7lsZfk+!kzkFR6l3g`YHa1u2=HQ)Mx4v$j&9)h4 z*O;^@u1hv}(N~vtrS<)T+Qjv@zs)WQk9lG5XO}!-o_1cAp`hqms5wwx?LBG=p2Igv zIX;e2^yik+?QzPxw{Jg2w}?U3&@hUu*zunTu`e{Tu0={d+1IbSnYocCx83{-0`@$T z5&dxBR?AT`pnh78-8^lo7|vLXUFU?{%~h*b?NW^L25JauE!BLqL#nN}*Y3pB5{k0pyWyk<`FrBYTzX&LP4*!S)% z(OCnz=K(l<*rkF+HL!as?{C;|S-dB$%lEwT7v}|ZBj1xscWvADrghp_OG``Y@!lgl zr2}NCVNwmsW&>rPf#;f-Y48;HV zVG5Ld8jmN3z=ADfvB$wLtKp_O86(8-synN;Gi}%qiKpm!>8E)Pz_y_&etHN6L=?D* z%)Zn*CN{SCk3PG50gV+dUc8tp_PnhfacB})Sl2(yolPw67k}_I+a{@{wRQAot4CJ# z12;D+sWX&f)wo1OHAj1^mG$+*W>K~7(aKf7wU|)}^UXVz;lXk^40$pd^aZKM+i}k% z;h#^H#KOvH)9I~@4ksCIxKvCT><4-Msd46qoNQFp1d#(Jp29HB+{@j8(nbk+YouDs zDN?W4m$l9(wBys$-XObvIaIZz=<2IUIA+mNA_wfNkZnD<+m=USmr~4QGAFLAwxm68u1J`^+_2Q^Wl;~^3T03x1rsk93J zwpV>Zs#xIuQw^C`@|do*pn)8w#tc9%_3s|Pw6+CXwugXgJh}i-DPYDiQp#bqjRG7O zH8p9W>L~-7sK~UsvVu)i{m79cXHK6kL;3n_u(fda-n~D(Y|i*{M;>gnJ_bNkPO_}X zk9@j*8JQZ4KB<`vs9_paxeLUf>3^f|p@f|N(7mhw#*G^tv1yHlD5kzxW~j6FhKGgG zaGNT!5Vf$dkO5%Xb;YI*O%rVWu;5^=)ZN-y>O4tit?%^_!s?ZM`ay-LK0m(H0&mb) zQ1I^V?7Xyyp8g4*Pe3N%(6_;#Zt*R~{$Wo70*tQpR(;}@54*1#qrx{F_SATvmcyvx z{_WcfbaIf({XvxRv#fOG;wp@`)cSO7cxqRFu>Fuk>L`^;{e(61H3pPKx24dhlMgmN zK{6{DT-H`?yY@N&JC@N?Afml=baYa#1=>nT1ou5W@}4_n|G0$OyO?3glD$|lmqZ8O zuIZQ@?X|Ek!I+mYYg)g~?hbn@iS4w1@7}T)<@lftY-}cBp`q<8U#Ky;D8r86`V| z?aNWR_Y0E~6Hg8{SUwWG_;$%~+lNQ}g>54O^~na0Hmq8uy^dG2-dp$N$&>na zaS;)m1j!1c0$uB%;m&ecpM2D-WW3Riw{8eX*k8(@pAQK9s?g?@NeKJ;;PfWOo1C=F zv-~C}fFF$jO;oWu$Jc)1Z5-e@>-(5I;%=pw%afCn{s4~q0ThjgK^kVXS?KEP`^$)o zdUv7u0Vz;676eEArQUckZLz69LaQ!LXC6piNUbFUY(@fUk@>5z+I_z&pl z=!i7>InGX8O2Q7;2f5MR+k54}<+A($KArb#9UfH0sOkXkeqmU)Y@gfO-TF!~DqleO z>BRNYiOcCc?l`gY&_c?xz?vGBnO?2Aatv^c`$Bc!W3DT?goV}V7O$*8;*NEvqln+Q zaPKg<^aofZ-5z4IWhkX~p==wke7}Igxr`9%HIka0*>*NIABv+*H9M`aQ*66m`YC|! z=Xiukvaztn(5hmI_zQTv;kx0#)gBvEOymv>@n z3an9dD|zMB9Rq(M$LVx@JpUcX)tfgp-%f*70@h6uBH9V%X-(Gkcw`1$D~3BaHQRnp zO`R2*+lIyW>d*@EdUWW^mt5T3B@L@Ch%B>R^++IAWXqO$iNRT3>*^nCXz%*3ATs<^ zp(!G-4paHt%`;-$ADT!~6_AD5KYTMS+RNa!rkyREsv0r2_{4IWc2ab!xcwYx)Ji_n z4Xf9zX-5>WVrY)qi-L{(Y-(OYWE0QDU?0HBMC-I|@+*FcYWu9$x;<*_;Zy^&=hO0! z$LLQm{<@s@dY5Zold0X@$y1B!FB1Y4KmUg^%*etaOj9&gbrdF_p`Z-py@>DAut*37 zQAb^t4Gj;=BXp%+t?NjT#zQVzxjCY_`GOCi9(HRy0=}}d9Zmj8*W~P?Z^O1HRauyH zpnvNS;_sD~w|5DziAsiP4-m!g&&xR#Jzwc&u#V?@1<+`fjagIb9T z$-9P_=^GXuJ$8(PtM1_s#DxrxDA(J!d$2c!%-c@K^|rnJX3Du`OMWYDa9*)3%Uq!l ztETwu*)z3-i!OHG@kX^I{Re8PMqCo4{3Jzf!e^))LaQ@VO`ie;u2jcWVzI4dW)8n|X9+C`Ef0WJ^5x4HuTboxiHQl-fF(*Hn`#(4L+DQ2DQ++S zW9b@{U`GfzvnS`(^kU90im;V2?!`IUAlDLPBJB)E_i7b;XjWay_xvg zkWWe;uYFB334Zs1eDpMvWytBhQu4sKAFTq;%8~!8dV%i}2Wf%z4oTu0U(myc&j8Li zcJ4gy&44$EuUjT0``aI`uF(J;wW407b#>=I`3uNfTc@9(T~+rPuHdY_{+@?Nsa5@6 zhUMqT?n?iio`rK8!e{8?$Lp_eILL5}kB^VY5dUy1-Hka};OVzZEL*u!NmBCuySwC$ zXxF;~l#h%@*!Ls17JcZpRAV9WJl|;ou}u8+y*qbgk01Y|l8<~q{g3Vc4(T@^gH53{ zXJTB)7_TpS?b5`Yduj~S4{9-#AHLhgMXJ6?+uV;g+BlhStMulLg8Ju<|9u=GBk(6aXb znzD)a{8BH&!_Rs_;$kRxbx3a3R4C9zAMx|V8r+eyaJo7VXqfXXbT+3YCA~pgkcE?O zC}}ot9awY-Ww$sh1QcYuSfocxH7GuA36MVz@xSlx4xQ4jWu%CIIRSXFh4HpF)7MC< zba+x(|0W9M;Ku*p+545gPvi?m)8*gd;%d#C8}rpwc}ySlZhUL9*fAH zLL;S!O;l-d{+#gC_au_djdLgTVK*QQiq8A{Ur;V`OW?x~*4+cX#(s85kH;bN#vv)886Sc9aIkXIONC#kBdFZbrE4m(`kfQjk`LR7&?Ucua*E z=x-|C2h9&whfEV-h3Y-DoYUMRho^XQDd#kF`40R66bY|Tu%{Ap zhrNQ@@s3*es7wEt(Z?tI5s@$$QDiWnSq%*hP5WBg*=338$Aad7DWMYCxxTnGK=1{| zFakA*pfUCD>HYJOw1>nt0ilQFX5)@49`@QqVJ{!O5Cc;zbR z==q9r=)(Gw&z>I80KSagPDx+#ZwZdSs-?ejp?%3lY%ZTS1Tpw6Uz~8|{ z6$;K$9Tant5Gy`os>s>yJR@7i`wa@|#{K&D5qx41aa34nxnA~;*~&?dp8)Wc%36xh zBr9nsnBuY-kB=&>61Ig{ciKARY&8EvI=J*E*WBMY++IuP6;7m6c~5nW%1?F zh%#^gXaKF15b$<^e^%d6PLXw9LLrPs;{KXp5k5ULGrVUxrH$D&jVnB@lFO8DhjiUq zr;>%v&+l{f+klJ~L)r>AY9%E;3=@IzrK2Br$8&OXOYYY%kwpe2Y*UH>^(1I!Kg-#! z2~=XE5Zj_rm0@7wNUjB?V1U#+;ZL)e%D%$PE?K^uj8Ni(c(s%>$hQ-d>Tb-uN+_U4 znr|^8&zT$6ym|&1LS%fXA?x~XnEfETT=#&5f_P7m+UC~YAY`xuT9)jL58*p;0FB)l|RF8-X3G9*JGW^Ay9CMxcrLg1t`3;`KlXk{y;{l@x zEPa|VSDO@Wm*Xb3rjq}Yy4X%Dto)7qmp!LohEmIAo1kqW^~1|1_0qvs5*0*aypu~S zHyaqOl}{<_+Es_i?(liAaSklQM?c;H&CXwl1Lz4JuWBw@&9)`abfqmTYR(a;SeG_I zlpjdZF1T&)5Qo|rVh~m5JBC6LMJ78DTK+Wz@{jY>)s&Y9-T3KMd$%ajeh=Qf#r8=}HWa17>@6-n5 zGpvY^OC7wuVv`~Mfw{+g(LRGa1%XKuQUq*9@NO#bp$dG&t%X-P?h#QJ63{v$rl32^d~@z?8)d1 zl7|9RcW2P6c`h{M_twoL>eHB|$-zQ4k@paM zUJ^kE4uy?yjm{GR5X|UBm`jC+??bZgqLDSku>}#@@XK?T_YXFOe|WU>ye}gyUZrCn zFmF0wR0gi4etga9)x=!|Y<9-02T6xWA7*A|>o{nunQ6!7Bc<wlbf}p3%0Od|Kjh?n`}bEujTs-p?v2KmRMF3W@veYdL2e+-BM^s(y(>FAo92h& zlzWq7|2aS~bNKV&J(48zQAj4ph)_$30;~RvTn270f?W%T;McPWctOj=`6(CfO>rQ zH7`1Oq;#h`JMF7X_aJ`NBRR>=Nx3i>khqEUYU)99FL9HBx{F;tzxovHV^&_c4v&>G=qO^rgZzFH z@)4B?XK9`tEYq;`hRsZk6aO!qAq!EK^35^)C3-l%*!Yf zY++pl5n~rvjIwK&zWbjNOE{{MBIW06-+X>eL zy*Fu%C}Kl`U9&^7j4UFuSD<;J1Xe0scu$yTwcjoHdy6yWKI7u1+x-t;k2@zX&mj>R z83|qP)uC0CyEh#b-C0Ept;oz;NS4HYLLw5p@F2O5cp*#efW%qQLV7IneInsd zfqq=C2O^NUK|{O!IO>gT4M8$sT_wJAzOhR zJ`)v?h2S)|n60!8Lgg6-?pCPIT3ucJwJRBtp&Rq`AT9X5dpA!Hf~ONy%eGD+{tJAq z0sOUo>c9g7dqNb%XH~MU#ZHN}{>i+$9Y22jM;7J6ex{Ml=ngmmZ_h5}xByV%UcI)r zwN0NLs+R=|v_tZ72$IKnEFD>RDJI+m@$DDZASz(VNMgD^&kWQX+e@<>^ZzqO)^Y8* zbLU9%js(U~I<z+MPnR)SyLQj$$^9pa)bZ>EMosdcH|@}lxH3y zV~^iOI!EiEfupt6g5@AX!A%A7WjrKi1B?*zKX;(7FBW-6(@;8XC;({gtB1$5;PMjQ^WZ_+EhrHeZQ#%2_T%kxfiGimTb ztX;E4$BG@Z_7K)#qQ~5GbCW0Bu^Hvg&7f#hK{oZs0$C>{oTpnYg#@gBTo`wHFC9)L zbbJ27|1oY%Ymy!#5oQ2O#9dPjvXYd|DU^HZ;BIz-kN5KS_m9G~icEIBSQox9pGGf; zuS!IaK;lIrlIWD_lZ4`rg}^PnXkId8S_QSJJX9jX{gTf$O4WSPc;fg!Bj%lt(}d1@ z_u>5zxcXHA`U7h#elx6!dGe;9fP{zVG~@v<{68}DMMvj9=ZPf8wPVM7jrS`GWHHWg zNL)7CN1@fvA$R^2VjkK7rYoe#Oek=pur+bL6L1RuWc2n0o^A7VGKHRZ+qR=X_ezBn z(*^Fd@Be?l{i-1h&}C=AUM6PdPF7IPz-S6^-nMmihQk(sp!q4&lPqOtdq{0WI>~_v zI|>ei!k-Wh17Qn9Uh@*#a{2~+Vt&U8&q1i#rIDFzSC4It z9wt<^*`)0UY$GOB6{VjyAnYaWi} zInJ!s7lPwyFHE%X`(sCs))$+51qH={Rr3JnO}Ur)-z|2xH48l1*`n#1v*FO`37(q{ zC&XMh^$7{5*7XOa_SeAKKBjO8z3gn3z%C$l%WdL+qj3KI=RV6D`+CJs_$OWSLkU}n>k(O3MX5P0? zIQ)vPt}Z7Rmjt+8M8qv-zcm~{`KpM~_eel=iy%I_!GBJLZrevu_dR%?^-y7r(aVf=m%K4@F0TfdnB@>VN(c z?x0NBm|W zdRH3jCcX-A?HS3zI+XNzVd;M%F#Pu%8Z8PDoeiuBe*OKS&WX-o!fdf~!5ht+{o^L&&0kUU zbS?A=V$ShMfC=t07VJ8Xg+#r@T`{eKc7oZ^buY$zbc;r<%-{Iy>r{~Z%gf8n)qUao zhB(b^x{bp8E6g8<-Hqw@-#uFs^Yg`1E`NFMyk-H>U~xsxZ75sJ16xE5D>!Xz{L77)&h@9%GD6;_q3rkN9i1zoc&Ud2#u_M2j=3J}j*I^8E}FVXz4;pn8AS4Vp`f z_tRZp)$w{Rz$pjoYZs=eIg`c=ZpX9K|NfWrhmhW$1AhvxH`Kvw6BW-Z`SO=-z!Yw4 zw(hjoqJ(t8T0j{J)Lsv!0kJPz{0e^#vx!MTN){LRXm8j zf<|zYw=w=hEMnTq%(kbqi&h=5FlOh)l{P=g)_kL5nw3^ zYXjHsZnQdpgXtxa39KuJ1nJr$G!eKlG%~5IqTPWf;M@B*J23kMMz zHyU%?(T0j9U~oT|Bu{J*)s7P+kPIUMr_k zeS(7ebAx?-uLZ8AjdUFSsj{o2+ZAR$H__=I1xCdT1wYbF{Pj~4xKVD&!?rlJ4jEiy zhz6J9R?s)xCVnoEb-l0|V#E2=x57~5HG7?1q!>2LL>9%;eMU8VAqST@)STK%$@=?p{MUp*4A`o=7W)e zCM~dLR5;Gt1_lO1&#|swPgJE1x1asDk#?`haz0cs+w5a$oe<59(ci`x$A8ha0k5?051~NWSSx8nySIe|$kc z1RPF#Nvbyq)F*Q>u+X!W3dLFH4H)<@lnE||PUHa&E)yCG{L@e9yh-g((+tUxfAh_x z$4MXf>DtzQ)$0Bg9shIsw=20knR!jRPX@0Jdh%@b)6VmOWEHG?7Sfve+=z@oe!DiY zp5o^~{whm#<(-?ZJ<4`dg%HT68=!bMxI^`?PfQN+%nNzW#rc1Eb^dQ)2-;Az?JHFc zq%iOMH0L0bZO>lt>Hwqgpe>$|vz)UlJ?@N=UBw?eqQP+OWu2oL~UEf)`qxmsKjrhNZUH?vfm!JNM0jx7h*ABtt{K zfDVgLn%P0Ojz-Kj-Jaj!aIhPfR!yfkOhK%(|VJB+7-C zG18uu^EO@!RA&8 z;m^|blmU8*H5+HkA#-Ei=_dr1{oOtlatFG}M!t)GU~56ERJk+0kdn{dl+wC2Auy~OMd9>1&<~v%)V$H!)SVTfCiYaoi0eU`2s|4w?@ftyL zipCg$!1rb+X3yK&U2wLTiRHpGOUU3oA67CcqDAN&O!FxhUN0Q4K}1KL7Y4dNvk;ym zRNdqZ26&E0QktyJn{7{sb())MB3dU5d!+9Iz2k*C6Yr>+7DB6;;mAZ(9-qN)D>fgJ zh44TMaa6t|Xn*NJ(zR`ScnTpu9^x=LU7>n9h2kk@?%yH`O`YU-#B1B{35EQ42GSl{ z%R2S-N_?dK#1P>#C&vfkA&{?=yd1IwVBMt#-I-QM?8Hw=nBg#~r(vX10Md>xJLxwo z^kAz-LoR!_{S(HOE31G7>g!Z;Y*V0F?D@dRq~{?#bceKx<`UO`1P&`;?alu2X1PC~ z&TVonFcO6IgB*E1?=}#6G*N@`AXRv=KF_(+6`~EHSjDD)+#<;oEEIv{3ZMy7%vw*v zC>M=Fh8#eVE6nCR?c?bg0tKXt5ZjO?BhV#u1&OS-Y6^|e$ycg*93aQw9({>?37L7F z{e_S_ps!qNNRtva24O!AHrXeUhDQ|tgm}Q*Dj>HT=Zq?m{<-preXQs|BK>ukJE)sq zu*!PO+8D%N<7@)g+?lcSq}Lw>HO?T21(NR9bVM5>X)*)Legm#dGT-Dx7t|%Toq^Zc zCD53I0|YAh;nr=iq)Gvoe@Gjy-o$@7gqYPpSXR8!E+7;Rtl=WiU7~O#$ZbZpIMCWx zYZE!Nf*A8(?g6U~OT|b!p&qJ7o2*+`5K50M1|n9G)*aIPnyQH<(U5nl9wHv;(}Ff; zC32mfgnsd@sXB!#QH>qFt({(oW;n~1w@bnH%9Kw;Mv+5m4E)I{4iy;|mnvh=D-#ho zcd}~F72Gx0;t0G}l6xHVYBE*0V~ zNB6W{K6I6iLDn*W6#Ea#IP_pVFDEBQF-&rUhgLtp7`p_aN&GtLObwuXk~JZ0ObwSQ zwVJ{1!zk#p>M%F?g`PLgH~~7bf2zIMuhVLU`Y9OQD5f)y!@39EY^ol!k6S}~Bff#F zjoGT2nwsb%bI1BjLGv(+p!px&easrl)nvzK~?)Zv=AM1;4JwAL~+B~^S?)e|kU%&DBju!r`ZyP)O#>Lz= zb~tlU92=NL7Zv#Ul8qaLJmyTRW6$pd&>rUv%X1zW*<3_l52wp$dqmPoBGQdDN zpMl1r5lB_m_pjExdi|WAf~xPv(H3a3wPC3uXhiyoW)ZTR$gv>E;pJ$#BLu09O`y}n zr9f9vG{25#bl`x2a2+G1p{c5&InRUtqOz zOO&IDF%l}I0VoyXhyY~w>wFhTy76&GM~HI=ro}MQFoVwQ>MP6(RCJs3Z`jVwjFZok zuE>odw#lhRwO)M@Le4keFv1Hc&07&Z!XNjRafBE zIAC1g#nTGUh!Vz~)_jNcMxU~rV*Wcwhu%cARjMK$Q_)N?Qpn~+&eg%>Jw$_qpacoj zqut@byAYL3az=egK@H=9e%8im7wp|ptO`RASmv;&He{vQj(v|rhpS-I_zGt$NJ->! zUHG&wB#dK>BB3=kHAbf@7cg-bWc#nFAUTj}7vw;B_(O@>ZN(H))Iwt&WZwqB>WM)~ z#h0{0TEJ;7vb&YzDo~imxG!Qd*gQ{#KgRMW?IgrHAGc~2;=WhEtFZy!UeS22#T zc!|)dIe5(vo)}bnR}fgxRp}41AO%{Mkq)p5X<`JU7jMq^xejOH;N_lNEwt||#;MoN zEOy4IYEsAIk3-TS9fF8!Xj8b1>%fJQLfW2DEv;2SHT0c8RzO8g=;Y0_;}9za?0=dP z&xJ@wXJ==^Y;Dpd$Sn!NX<1l=KD=6*D2TG#RAgn#Qr?#8V=^<_eb1BQRc2tIu|?rp ziE|ws(B*;?Kcry1FwV}&S-Wwg+Llt3>J8+W2j^n6()8rcAJ8@KfNmk&OgBtBN*EZh z0E9zBy0PCZP4=TsBJE~a6I=y*VdL@HT*$8Xv?T~^G!7ym79T_t z647xKhEwg7JVKqz?c2mcT1EYh|6oy zEdv2i4mqZpsD@y8@dX+vAU=;x!v!^oz+{EMas?F&C~$K44*H46sbWNQwZ$=J91=u* zBL@dTgVY$ET}ZibkbuM?IUETERilS*4A;n-6ESTTCvCux@a~cW0l;0N%jVM4o;VjOzXe8}^?>>k*C!$f++KB!&(I5>|Q< ztQm4P6T1Og8g0>IPeOMWPE#u z4qK3_%TTFG(MjUDGmdq>3wi)7;b!rVaOxM9Kf+BUswJ;b%wv`xIfeibk{l7hP7XK8 zgdK`NF>+J}sH4F{X|v|S04auFlOu5$OgsXZA?R61pr3}{pbD!$O$e^G7jACj=oliH zhX_d6`tszMI-pzV7V6Ytb^9Zk(}@5i66RX%A|RzP`yUVN7WcvqoN8j$Vt~h7PhbBG z?F0jItPotJq#2F)2Z341X--++)zLAffMzLvyD=j`#a_7UtMJS5-PB@=b0DEm)7^2F z*d{{f0fPEj=Kh#P?upXK8WXsh2C|tLbFjPW zyWBH!N(7)Z&3Xq9OBS!>L4?UqK_cggNek_T(c)cmUAbHiP$Ku|CDx z_v&Tigl+@#3fTy-$n@gis(w8pEaf@n5!2vkf5TK_FdM~r6LI)B_jW;dSHP?=v9QFV z7$IQ{rk07sK9maGHx{$X<~hz-0ul6r&Z`EI$2&EMTOBjJZ0TFSMYvH^i za%!8MDhP!Byg5f7Zq} literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Visibility.png b/Vehicle Live Risk Prediction/Images/boxplot_Visibility.png new file mode 100644 index 0000000000000000000000000000000000000000..ee5dc4652e44b5146fb16d87cf3c740f54939386 GIT binary patch literal 21134 zcmeIa2{@H|+djNhYNu&enn?piiI76324j+0hNy&4W|dj(-7IQFGRr(mk|9$AGGv)m zh=^qfnUeW`{+7M>^X%h&p6~d+@BQBQ{r<=CcO1K2%f0U5H(b|wo#%Pow^fwoma%MP zp-?Ex6y%SpQ7H4fD3p08e_4o61~->;;eVp`GAHfTtxW7MpRqNj96w`keZk89g4x+E zmyB)g%&aVh_(b>wdAFRmx3{(vakxMtPt4%S?w{vS6Y%gBJ!I7ewptZ(1TEh89ta^;{F2lSWw&gcv zJ=Z@l4NlU_DE(sHm0G-cxAj4(>5+%{&5acteBDz&gvWX_O=+8HCj<9i)W~<6-X`(+ zi#4~Tw?Ax@@MOZX;LW`DY;r(w{B%wzFg~lfN))!>4_wR+=*)$ zD=3*R<2qP~);8qf zE?vJxVWRc76|AdP*(&RZIrKy>+qC~{;1lls7e0jT(u@ys2);UhQO_ei%fXF-0!BA> zX~bF^xQnNL`fY_|tU<05&%uLwQd8f5!wsb9S>sfD3`!MTZ2;Dimv{iLTMC1uC)fGhniwq<*= z+wSase)`q5vg|NJr54w*V0<^azxidTLoU<&h3DVh->RE!A18LX|64jQZo!UTq1j$^ z&!I29L6N#q*xbHCCpl+G@swkSFMTRg|3H)Vkte+xacWVOtK3E7bkpNa^Nr4))p&X7 zV!CCsu2uf@3++Q0w)qW-IuWD24Hli{{@G)noh8~+Q&TtYzwp@B)|OA_(YJ3Gg2f%x zlw*de5<4la-yXLur$qf;)}baX?J+eyom(_JHGE>(2En7gyS26OnR#vO6PxxTp6%O@ zP`_S!Sr@Ci9n0pJocHEYaXw*T&6O)xn%6|%!ys`fOizree|%;ul#cPOch_SALQi>2FkC@NG(9}lcex6t_+6NnHcRAKJ$7(RAgjVgtz3by#t63$&dEv?Gh4F zr%6sG#%m@-drQrnTp=~}^itoas0~6Uv1(C@x-TyHTV{2vUABI&^!!E3eInB~oAH%i zO39yby7=Mgp^WBBf#&sz-J-P2uvKd|Zj5iV%0IPa9bYZZ-ak5(X7Zj|)-mK1Oxx!; zbgr=6$}$GFs|WcV?{UM%+2r&ObxS}6ue2zKju)F19R z{&ip=<>qE5`4bYOK9+goo%8Z(GWn7=ABdZn?Skt`^WAR;g4DnZpT8`C47oM3KrfpI%86WBhNxi;g-9`nI zPtVOd<6=StB_$;d%I*n7V};979lN9aa*9Ho`$e~xxQuuBg`{?Mov+ETGNerxZ+0%1 z7c_Jo^=&Z1mbrlJ^D)aVMxf|1R%o-l;0dW|`v(Tz;g$yuAk_umdESh0gzJ?0@Pwq| zN!#tkj_d0OHDsIiThJ?l-;)QZ@1wi1Ump0}x51)0JN?1AwfqL(()(S1ssd~p#^(|+$jPEnw+g~`SPmfx}reHyr=US1y9Pc26Zw0idJnP+3)e(Y+2J-W~L zB4rIZExT9pvSoIh=I+UvhKW8L+Kw%_mwcx|-|k*kXMja{h=g;6=m1vq#nMN6ddEK| zYQ#~o8oiO%?lm}J;T@QnnK7CC(Z_6=5Zls{HEvO#XeKBmlv|%W(UWjILiV1Lme!+& zD;R_0QHs7wmoEJf9oSB3o!VQ-PEm}_vZL=371b#zDItkw;zwV?lOs2s*o~*#?((y; zvPK^4&wSIHnk82*IXh)XJBdgqeC7M;dmDsg5oam^Ly~{=HPR=WY;0@{#_YUz(3NA} z(@1EuNX{yT{xXzF@ug1^%B{Ct&|GCjwJ9q5ZwS9X;K}1OwNqP8%Ig*{C zqN19UlhcFH10o_PPrbY}y0Nz|!4GNaxykzgyT;pgDiN~F9QvDd$mSD}rS5Z|afynG zGW+oKjH&B|-xe;b&9pH}X)rJLVxO4kP02M#zz*Z=u9D;M&CkzAyh?uAFNXQPJc0P5 zk))fRCfT3eo2-sl+Mhq`_TFDeE`Mt1*wtRk&pA5CroX*@^9GqyOh!&FR9#k~rzJlh zj~g>SOt<*?{R^USb&lh3ZMK6&iaPTnzEkmmme~r(S$nMY=o8b;h`K2?`ffAhrqkcw ztOyDH_;BY5C(De_P6^A|M8bj(UJeFv zhlH7d*_jjApZp_2FQ%ua_LjZ$nB$=leim`>x7u5?qg#@^Zr(ZT&A~ zh}U)3)_n}zXBPhW@%nq4C3LNFM<0>!9~0`9U0FQS&M{jl$Ke_oA?Ixl@JMD2CBc)+ zEv^j~xdKK-T|hS4p^~oqF84QW>vLAEP0&6uJ4KiB_4Vx-AJ4%=rz2Qnr|9SB)22R` zpOU=v?Ig`JP{;})wRyaMEv1!BwUQ}}6~OLpW=A`}S>vF*+@jzx!LL-scw=^)9yLoeDf)Rq?R! zi}e*RMYKJ!IwYl zMD`ij6t3y{ocpq~A~=B{k+`@xQ;9XL`i6c}Zwm|KjtA~{8h(Gkmr7NOEdDt$5$`zM z>D1w?&B;R>yXWogZQwrbATd&T1Ry`uz;(3FuGHtzqv-PTau>gj3chy|6V0hca!9d5 ziR$J2Ba@Ty3CU`GpVHGEdbJoM`s&py`m?(fk0k|~O-y0GPhjG)@Dvnc6kmnQ+x; z1KD+?T!_XkCZ_{d~*2uJem++&m~%e2h;o! z3~v|kpW1~BiQ(blEUrp^e5b@i)!lL1ySTVya7A@{`{(8j$*%RqH?Chd``-F$0u=x* z$?iJQ9Ycniq#Mm7-O+15WW*fue!d*YO8}sVm%X>qHcQ{UGVH3UBhZyFmSmDnn(PVj z!Qbc2n|CLtZ)SSZ;>+vnq^yb8h-(|4DRtPIa_mru`;4Qo)n|QzHa|P{Cb={?qL?BX zid4)5g*RDdm{bJuC^!msD$2{NSX)26v2;T?f}&aZV*#1cG=OR{!*}l9RWEzAXU*ER z(Fk8=udXo@lsYle-R@sMgW)>gT^(g!7w@~-eac4oe5Eu%X4Ny}G7<((VPO;wO;003 zCE&bw?%l(#pVr8-HJ%=)hZ1nN-|BOs`|M0+-SpunVDJV)kT{LoDg(#bK4;%_Q{j|V0{|4QKJ&7nFh^w_XLXiE(HQB2I7AF z-`rfW$w>KBp#(Sgy91MBT{01m^%` zbYigz^5=X%9FidK{^O%*v}%NGQMdg@1;-b5(czY3`pIn}yM=^me!qE>?kqfY?T7Hz zt*@S6_*ktGtMY2Wf(4I(?gLQOUOBZgCoCbeAwip#sGDB8&#d~bNU*YcoEq2g&vtKm z*1U|0;a&aCKfVbdChx_Lkfq-C@~TLaLh&esXEbTabG@D~9aB$+qy zini07{xKm=@$xCJKIb~WUwuOS%-OSNm5v_$eQXn0=k6pF#;!L6&=Y zslN$n)1V%~3J@@oeITiu^t>du^T;7U z+pq0!Mje?b%tm((Qm~%5zqOANqz4|yFkmmmqimHNA^Pqdvb7!3@e3XI|4N|*-QNBO zPe|E$n85;`p08xXZwxFp0x-%WB9d8Y*FnfYAN`{B)7Z3kJUzc|d$j-1A%0`G$-VVHZy=zx#&C1gf zEKWQR4<<=)a{kWXAU)I#FaExoan%1GSjeA*sRAE*(8v>;uTJ33JptJb8#YimV`_MA zzBywP-qvoLrC2)?X8(l2sb05!*^J$tF1GN_79Ji2APKEvO2rcOrax#^l;1erb?YpB z0N-a~vZ<)Kd+L({In4&!3K8Dc?%XBGWoD={!60Hi4vVmPtvYz|Q-`hZ2iN(02b667 zGi>Yx*E5s%8y&ifVK&j0x+zF$|UL&W3CHi+Dsihs!7o8`H*UqSLP`Yu>WEJ zLRidZ2`70f5LU$Z@7C`_r3``jtE(d9MuEe6k-=3NS#P-Wy}E{m4}q73MMVbBTp8od zD&-Z{SO9X(Hy|K>IlI`Eq9ElM-3-elP+`ZYsG2t!8yh<&tp>ip#&oVPIUy^1qq?Rh z*OKv+lTX4LrOnObIeEmzn=HifM;b5KEhZ)=LgKOL@03Czu6F)>EPd^oHJat!jB6HN zy=J+6`OP=Ic>+6VAN*PLOo2AUoJL~lFHnb`Eg>odh1-DDe$%a6x9&%Z%e`K~F7{P4 ze)GzePs+=c*d<*u3mk?}%dT0qs?CAH(|=gO+`JHpJQ+AY>166_p-2AyadipW2`C_` zkr<=0mX;QaVDKbeNS4Eij4x%n*sK{l_7#IUffOS#hKncd(R&f=GCo9d9+?v0hInu; z@uyzC*r6O0D`;FAtDRy%jRf{4ybI8y*2$BPOa1s$ZgRMt1lstnU&q)E*5lz}hTBk6 zR3AUk{54Ao8BReBFdhjU&`Xfz5L3~o`iev9G90g zG&B^ps8_10s#?oMCW&#;dCPAe0n5W{-Sox!=hk!@>rX=Qr=W)Ng>~IJQ=4snU9rtJYoF7|`Rg}tTGYm>BC2S~kw^S) z=%%%ZVr^FV_AO%&*OM<)6s-JDXh5xYB#l_Bt~UY=oaA-YC1}Rsi^VxZ(2m#wJ?k@n zXUImG+z6g$jf`-_Vf)_t_dUOGORK3-L6hQ>W4B1U!_Nl_BPm%|8DB2xJaFQm0QK4I zq?MsUdH4(OhtvVNJgpcHnJa+{FhGU$oo>U=H@PRwr--cnE4cnQX;$CU7}}WP)rS~P zzSUESKIRM^P2WC`V_cV=iE_dFUq4Y8x3XY+(>(iwnW7?w5|6_Ddt;v#c3GW(%B{#q zPUHw()ty2EDB z1l1)mTrN~vQZkrmJ1RtqCpK>pqL8~ zcYJ1WA(H^i)OMBodaWU1t~g-~cK2yu!I$x9%Ep-GR?nA_!GD4Jc2I1QzZo+$>w3n0RW9_y40`mCp`Dk7v2^#gyuGMN>?Jez1*o@i-}(C?PCYy{F>mpqTgpKqPqrSp(FHQZ{Bus$BYwl=*4EQY9?p%V&zto| ziOa7Z+bJP&3PJ#Y3wKR3Q4@N53ix4Jy7aloN{?gr#+c;o=O1ii`%h$$|6@h? z?{ZcY(0UlFrX!HtVakNTL^0&^ks2Rrw{OG3mpHlLzMjHZdAiPv%2hG- zs#emjHuk*`BS6UdGt2HTKK2E=tRsiNe*N0@(KJ*O(yr!<3p&$at*Ma^gVhLOS=dcR zjKamtock*gKLA#R5m=cQEVxp%Y2W!U5c_4X&yhnssJ~w`xCLpY=iY(O1g*Kax=OSY z1r@^P=`#ejwKlQ-urYUO+IV^oi_=!Z))G6x1_;%vkZYK4ld}wKt1ONQnqMCgwk{kY zKo{y<$RMGGpe8?H9D=)f5L(Cdt-m`av|eJYDFV@9_s*Sich~Nzt_VITe7RrWb!xC! ztC(!(ijNqjoa7G`RdxlNxx21+RY%=j%cma;;7^<(5a+528BP#iwr4+`wPy0z9BhS zD@oVbVJZ1YdT}x9*kSu`A5>A*)q#ADL8-DEB$S0?L-MITio|_I;a0%+){9?x%4r52 z&+!p3NOV3U6x|`CE-EUjB?p+`B_K;s{Ce(!Zo^G^%0D{(T(cAg#Pm2zzw~m=rcD+O zOIZ(PST-kmdCcSF;)3#D*|VPFaqQOJw`*SY)Flvu32`bQern+!(l7PtCKxfwHpO4P z!q%Proa0FB5p@xAE0%Fcg62pv%s2R>OhLhwa@I8uW0bF(hT(T<2F$N>haofMC@A;pC4wi6o@j9T{<$@|Yr{I5Gc(36$;qhZ2NAiX^urhGLrV?RLKV7;famqhDdV^|EUw-5qSE# zL>=|&xClCU+!|;xwHTn+G-aBPH_f}5Ap*3i(v zc|pzBMk=gscBBW#pG*yhr6uw}i%U(K%UFLiY(Sbfm$Qo-!3Y8%QIDd0xY^|IHTju4 z&Rb=@Hz#3$Es#mgKR$~>awn|9`w$5|{@f8YT!cS=Dja4Z0IGY{M6rY>po?PE4@noY zhfhGjE(HhxV@~>j7HVp0L(QF$3J>?WP5nIkelcTJx*;?y-7J0*P8LwYl~A~MD#Yt$ zBxCoS{Kj$o;lqa!00!sV-rlB0f|%|GIBQ5q$%~hCow!nea9Bw7o&d9(GNCeH1mUJl zkBp3*l^R+>&Yfw^I4xhZBe2ZTId1s@W)b?iO)iK*g|t!r-!y zQEusXVnJDp1&dwz9)@W6McA#ifN6Yu&1_jimYpdS;;e!W!0^Gr!8_jG{6FZ7=yLKV z?&CZ*L6H}G0{9H4B1jzJ#T@SXB;M_1z|b(xFTXf#UA1aeZM^1g$i4|6xv7z$O1Qz5Y21z;RFyp55p1<5(=vU2qm5T%`2pOB54*a%EO>XCAr9pBnXfvj-osZ~W)%}Kmf6Ak$@QD93>`us|c zR-sxi$fdYX4c;WmNLD@+4bXsvcKKK{pVCadnM=q~6t0!bxfEFX8lZG?Dj@b^Y90bp z_mg$QW8|qhICt1m97gshVp0NBO>-QEnuP?VuR34}FTs=eKHGyF3o;w)^m~&XEzWiF zN4!>20LbYPBw3ON(x$-QRlPsZa^cKjaGkW^;$ue+A09#Np!3krAqSZ_e?UCpOi#b?QE(ZXhzePOu!&ttXrEgmzpyy1%o(XZ zM%-rhZd4BJMMAd~%D}3yG(r9UEY5c0YaN4jdna!45 zoSa<{NmXFcBN@-H%-Df9thRld&G@^L5}xXNwuDtvC7*co|N)yAnWVWaKoqa;Fmcnifh8JS9<8v4r!u$&oGX++)#Y$PKa5<9}W5aWG< zf`aH8?_qW1+PQN#7gu5UISMD=D(zU%rdL=d5EBxi;lxAPBdZjP-tv#{B8JvIH&cg_ z|1lwQ5&|%sk9WMhUhHM305X6GPOd}|$fbZ}q)xc#;DCj1W!i9AYf&2!Hk6R(uC{{= zyQV?0MWh9xxdJQv7~+pMNJ!{F+zOwdqC==NW?Znf32sgqm}^1=`>jR5?8P9t>jf>P zU>%`QuX}ptjs1J!hVzAY*1#{A7^$w_a&zg1vwwVdw7*#oY8N$<@b*}aZAU4b6^HnJ zpj>Ts`}sw@eY>n@=ExZ`kY`)xXhMX5#-#XpS>NUURF3@>E_)X=(lv%KjsVXmW^Egk;AQ#5<4mGbhunMKV>`_;y=n z=q+Bncmhe-2ZSsD;P5&)5VKAi@v~KyP7g{uv~%Z%K4(_+Av$FfyxFuim2! zu8*>19rLt!WOTGS{5OQEu2c2c)|g=xiUW*2AK3Rq%v-&BHT(*acOQ}+a-X}4SqvV` zwzf8VB038SssRl=BPtd)SR9h|r>AFrgWhZApcEz#nL*6K{Aznv6d|@f97Go7QiypD zMz;t=GN21%LIS|BxC2EIL0lLEEx84Ecp+xP<>FX`{o#u=?Bm0VsMlA$h+x;&S1U*6 zxezm~+Y;ch+(--SIB#s0K44F}vZVK3~Fi z+~AV`5I4#PmKGecez^lyc!JwHv z)Xx1CHLBy(5B_7?=Ze0l-vwl`L-tsUXFQ+(bRna%0DT9CC{By;w`B9{N z#6eI`qZ`TSAtkf2vtI;*51t*v%PmX*j~AOxD~R}~Th@5!&y}>SFkRolDib#bagV*G z3~cZMV!_;LOGp02PMrHy4_HNF+WGS33(&6*>gT!#6#1b!R@vhi|BfB9jIpIyZ=910 z|MzdyXpSZ{+RZml07twG}SU0g`FGGMPHIxbr z+qp$>XeIKfN1un!g6J#&vY#@nfafR5!XwEyJlYN)%J2uCG6iJ+ zZHeNtWHmNvtL<~x{74x>#HBh_%G5gMW|JGs+2fUi#p0lM8nnZesRj8@%)YC2gPmBg zIUJ<*DTeNGMyPOF1v~$R#&q;hhA;52HkNTcDvBZAW5a1aiESOe}9c6(IcyJoq%#bx*&*h?Z8Iv1gC zPlpstY-a~A_ao2CJHaU`-peLt&rMSut+~g3Pz$xwP}7MMCs4Q5%6ynldDl`Ytj(IY ziqcBmTXepsHjddVA1xoI59MPzO;l>ZdcUX0n_`};{udJ7A0fv9L4g#x zkh~H7dlET@m$X)&AzluO3d=wAJLNb38S(D#R2hZxU#dWyfSyc(C>)L{NV6 z{}CwJL~W0fji9XTMe;wS(39+oJs7&7bexc7lSs$cukuuqzu&GtaWd!^kE4v1G(}$k zmu?tSMmGXlLyP`&PIVhmTroz{JP%Ny|NQyW#Si9xXRr8wqyy6ZgJRspFDfR+0s+Pk zM0O1kx}XukZ?~3Z@#2!pI?(iWpP#q6y_yNhl`&ads9RWq+9chku8jXwSwY!7xcV2e zhqs|DQ-viVr-=CN0YyKDA0G>@EbMBTQ z6@Xt@D*}kiE6)tT!x&^4RHxyYnIb1Pklh5k9cryT$_wYZ6MY0xn-D_+XWSo_dLI{!Unhu0#7r-35BvB4uCKpGZ+`? zE$Adj-AfoSj~bf=?A$WS{Pgi=GU=z;8M_rnqxn(s_BF3ZcC2K|o-Se$Q(cseb5tK9_ zhDg%Rg1&$?yR|e>V5Hm8l~Wx46?$09Rn&1FG-b#poRu;e7S{L<%o2z!m5WW8s<5wD zf=?wf1Rhq{GyKGDU-XGpC;h1{60?3*sgM6jpp z1dd*Wqf6IEfOzT#d!PZ=BbNef$ka&0{}hKee<+`q1pit2T*bH$L-{mEGX$D317R}1 zZ|eUiRCr`j9jO2h&1e&hxO|EX<5t0SSeh8VF0Nyb&SQ5GgkUO;e#+`uuShzOj!H;G zPu8DonI&*Y?v+<$;wW^0i0wt|A!#TPt${RrV2GXfq(Hld*^3yJX(vrgqDhw$%B9Yi z$75>Z?%)44g)t=sZX%1CWeK_>ofPo8p)d3Y8_$Ym%QT@Y{ew~b7k;F*F$^w7{}%|> zIcRX9Mk3Z@7^ct!cewHJKP#R%sM zk)c>d<|7#!kMKEEF&75(HQW#MaE(vsvCq#GKWEC*HQT8dOqS@{Ct>YvL!&W_>?OUD zG!l`Y|8HU^@zW?~20hf;SjKo)ngmb z(g9thuxI_#s|YVMLJJF=nJAwZDT;apH7;@A!PwV-dtCvyF{~#cZWCr`-30J_`s)BQ z{~*}3+3LNK9Zq)4w+sk~aIfg*9U zQ`c6aEMifiu4nkUN&6@KGLT|b7LZ8w=1b-L72@|zKi=PZ1cEzh<3GmnP5dp|Q_+!@ zCbm$;ydy6Z6$Ye)1i%=lpI>f{LPOAFUsfPWHi?Jb80c+y_hb>dYp@uJPlYsY6R8J` zRvb*c4t<~MdLC2mY}vI-k=Sj~x)_fZX$5LyU;Q=aB^v4Gns;jy{Qdn|e);98*g}tO znH`Vx_JN0i6V?nwA3>eqvaLufVd0E^&H>6gWT&fTmE@+;ZwAmEXG#kpS{Q64VWjVt zw1_}G+@?SpImi|y{jsR)dOoJb0F8E~ClM(Q#zze_-6d!D?8+UkIA~DjKGD4ss-hxB zjI=&Np0X+Vv6_1sBqJxZe`q4h40)2)A*>7{f1C26c7}+j4dxU3+a9f#SVK(C$`EJBq3Ww271t-{# zNcV{^kGd?hy2^(qB;yhjc@?UO*blUSu{pcWZh_U0Zy%|opQ?wnPT>yV&J7Q=%F}_> zZBMe_iUKpNF{DA(HEW_E+!HPWOXkdj&r&2GqLmRu8!_q=6F+J1p$#F4ok!j#3=m#D z5Qg&Iu%~&xA~TDawLdz*Yk(UFeqm;2?s)0-<_mfsNds7@`wVgZTHp?d?u%ANKAIDU z%lE5f{Si`$yis7`vW=0X<9oMuvJWS!C(=Mny46woGkTICU*~d8F80|$v@6_ON0yXb zr_$&EF%d&eI*KOhJYu+piwZr{x(Io7xGs+Z*`H1$T~EmC5YW_GRd99w=m#Tj$BXS) z2AVJll3zkCH-i(4wEqcT_^>x+l$g?pMob8Z5SJkZ1vS+2M59Kf(HrGwP>o@XLtB_4 zl{^i32Jqvg*UlbtNi$ks1dB+c4tYfc+S}qm@yH^=ILgD;e1G=rPjAqDnlD6e!ggbL<@0MxQszN zc=H`lr4}$V`x8x#*D$XM{ayiv?$dQ?71)PXoc`dQKCL%W0@eQ>i-(>bj5@5Q2~9di-(W?MjxH5$6R;P8yJ1z3wCNX5`DA&UPYyHFhQQJB zpt%%WX@~&YZiut`;H7W(?R)5>c(KEGCo7R*`Y0Ax6-{b35tS|Nv4AYmG+|1Fm2x%#>r|l#>r#^3@u!8Zh_K(v{cmx~@ zF=kQ9Aa=hzmA*~A=&?ALWd5K~gQ#m3+6LN(8+UjtX@K#DrZEf=w9rDQpVpQ&lM})N zs}E^_fDL4r_u%w3d(#lfG@EwW>EY1XS|l5IU=m>8&zw9<&SzacEb@IZ*Dbpoh)(^9RiaS;YVi z9a6n=G5VM~65!J>4;ausAY2j8CQbDj)-Ex8jyN^JtszlnmobQ7;P}Yu!_y}smlqYd zH{+crrRC)sC=K8r%zZ?XBswSzq*8Qrbcnv(K7t`wdXXTI zqL-lzG67O!Pyo7JF#|-ovk3O^pctE)(jD_qRE>|1cR1$NnEpcH-hAlLA;kDcP*OSu z2KeK;1~|}FJ2r8o1^2cFy^E023_k@^6h$!;8_+a$gUmKDav)-nB}u$8Xjte*zr%g( zWn3=?tz^3p%?YE6u#*IXM=T_u5FT@*BF`%12u4IjV5;`vQGX8oL}Kdu8)_ulD!NIh zC)_5_(dkLv2?M?{&9>p{sgFr0Oi0Yfh?j*pywCto^R2a$KtnrGvPew@Hnoe~0yN(dyssieSPzZvBN)vd z2*2=)z9fo!FU%U>bz_he$qoQX8xGiT1kFrn#ta7A^#pw~yU|L4HoPhf*C^Pw^Wf0e z&4e>?Yp8yfA`KmgCp`#i#MBlBe|Il2p~b33d~H8+io(ZptiolH^()c}CWOeZp6le$ zJ}_W~ml#+;2QwjgU>IR^laVJ17y;~FVNBN!Fsw}=;dh|T+TtLZ{P!XW@5Q17a1k?s ztHYoSP0D8IPnBK$>#wH~1B_5z7Rj`EoVD$g39j&QejsAxNkX3E_g9OKqZz^z4Sysi zERpOaJ^xA=3i8qH&tj?aa(|&*zE!540whA2!56{<33V|Giy+F{eF&sMrjF=NMVpFw z2ruSWfHV$bqj%yZ0)ogv!f?cfbRcFn;US|D#$>7fQ1}pRQ7a5%;|8MNc2Kn-wF2%j$S5U;7%PSTA+ z2IIjt0xVWX9*JpPw~rlWu0bL$qoCLaV#e6S#OYD6XyLR{%n2L9S#ZXIZb1_qp`@Yq zZbt@*ijH=YupH^CLj2LJGK7gyQGn21Yw`94bkHR2&8Hexf&C2*bM{h*bxGtYbre%Ts8N*GAOeV?Bvb8-RmB)xhL0*6nW^QiW)p2s4CT1?eSMq{2GGirzEA zQ;7*{x??OtMkU9;u4b2V(?_SPIGqj$#XdqZpPmmOpN^*II831;6)`RfM#^~Hm}5QO zzm$Wh5d+^aX)uHjkBV1bSl9O%I`^gTg6)^?hP=qgh|MoEKKyus)kqrC(viFrVrB{| zf!cv}*EGT%ph9J=n%f9}UEu4qot&~U!BGG-=@%RKw>X&MAK0+5Xn!L{5yXUco+5hN zg_<^+CV(+9c@oPjGOs=|=*8(XHQuq^OPS zty#U=uA&hl_H)Kqt;XHe;cW>~#BD~ze2k9YfD<&udSJQqGjA5+ok-{5Z<_#`z??PD z%LvAr!ZV*o*BN;=3n^I%-6knXpGlA=H3vFDa8}X`Od1MJbpW{!A2~wauf(@}5v4$s zapCRr7cOPkPqBID@lR->M}WMHBzyWtBdK%9%cMw)Jcx@o?NNG= zTZ3ohHmQv>6X%*|eU_s9&_qip3>)cJ2G1t6Lmm4_+GRb?R^hy^=n*9y3XpZJ9N0j> p9Q=#o&XmW$@$(n@V6_5-69X6AftRV`S9s${|g}}GP?i( literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/boxplot_Weather.png b/Vehicle Live Risk Prediction/Images/boxplot_Weather.png new file mode 100644 index 0000000000000000000000000000000000000000..ef6ce6451f0ea1adeb77ff7a4996e0eaddf25f33 GIT binary patch literal 27592 zcmeFa2UL{Vwk=$kBen{H0Z;)I6%a6x1tUp-oe<+Qyi<=AOQ+Y2_17tGIW zbT+kjFt@Q56A~8^-MR6+qob{Zq_D8n-!Bldu{RUmI63ngZ?f1{LDzvoS#g^D!xFbY z)|^7I+@p9%Uh85=Z?mh1irMV!!06e>ikr`V%fdb8V+5(H#lB zhMkw|1kWdydXDNV-~5vM)G~ehh=qFXQ?2-h1JS=*9iVoP-Y{<8OZ~m>wZzSO#=yHP zITb;cvSMbLqXzX7Z%_M*%)y0FD31oya+zOHp>VSva|JfBg7y-L6x`#)V%7e!P7c7#LSmqZM91)M!)GInkY}b8QKGtF8EM zkFowa^_Dep_t)({e=l|Vhu{83ufC}_W?C@>A4@pIY+$|7P7Ckre!;J3^7d|RQ;q{8 zgD%5!BGt%nXO`u{n>TM7(MF4lFn{TqZ2|&{J5D53<~nt=adLL(_F;8S ze12gn7(X!CSEQq&;)_L#Fbi`%g0+^k{p#a2_HE(xXwhsfub=c8T`LNudu1g{guexr zS1S0_@LWpvx~B$oUrQt>7fUDS=NSU-<2=zz@_H?xGN=1u9-XyBkyS^ zLH$gX=3FO+UR{!|*uxz}Hb;}Oft%O@D-Wrn$R37DFiDpH%Qvx4_n#z;DKb@YFG71rH$ zhufv2QeHwrf*Qp#cR`#=kZ8lR(^v5GsLD!pvL9E-jz!$%*>80APSNa4-o#L6dopDJdPdwoZwv)~v*h?NoFd`D`Ym8GJi9#XzeFYhW+Fp&{2Pv2g7BQnjL@ z=@I=)(@yv_)*G)ZgFTNNx$ZSJaMaLydf4LQ(`#!4^;&f^9q6i7jhW>;_+|!6g}a*b zvUHB67K{Yf_hvU+%S`pZvS>(;fBEW__LBqiGprg6(_K+TF=iM9`34Db|2|^@6ys<78IFj)wq54ZY|Rf{u%}bA%(Lu?x{|L znGC=EGjS<~dE0mHR0)-I+TQ;>Sjr^@M`w+YL7>g&^)~sNZoGOj++D9s#T&#({medC zo1p!mx>M`Wp{r!EoVx4SKe=cOdPOv3*@Wv%e%5SqaBvuYxl}mLYkFb{E9;3I`?i`W z#nlB^#$mbF?XwQ4mt@dsIyl|fKTn@M+vU_*br@?uq_@@P)=Wc&rBkV3Rvb2HED&|OHu|$y_ie9pB7%k+J=A5leXD{e9&cB5tY3*APpVOYo1!FFPm6n>3~s;}k;30m zvXYOF?;U5PON*z@%*;%ftQy|)XLDYnW~?e%Pi~KX`RU1)*}C4W7Ox7o*|8rhGA!#= zm#*1ai7lHt&Y&kc&@0?p?;joddS!(YHQ_{Zf^gB)ajGLun`PUFhk7~o(KF*TZzJ_0 z5`sQF+`+zfZG2!Lr&`gqV|JNr? zB*UUsiJVv}l{(ZJ8{UO5TL0|yE9vS{et{i3l)Y!hW4T>hSC)rL>GTy&rljPwuOr*1 zFQ0MOtN@31ySVtt<~*0t8mwxnd#&{O%8m0EEU*~q`MhqwSN?HL&DvNso>ZrjyIhG< zefgTp*YB-y?<!N4+u5wx^`#&W!6OnuqdPIRunN2J$+`02&dMhT=Z_fr_cmrJ zQxP3qDu&5}dHwoOvnxGxq9={E+pJbiM-ieZ@3Ia*lq*x1E~ zg8C=O%6##fwBnM!s7|ug3)9lU;m?UW!nN_5NBfFq3%__Ujwx2*gJZwFx1yt;FDYSBz?eXdR6c+CB?U$CuGM*@u8-YbY= zd-SK52Z_B^5Ph&!Z7)rl;X8l?pl9tXGCeuEk6MP1-%~4lu8foS{Z9SNvg$SL?4}c= zeSJAouUD&aDxSkhHLAzOKC=_wa1IfpgwtdOTaWj>FSpD@KDQsEcVB8uH$Fapf=kvT z`~F!xP7_~|a~+jW+Pe}{_m*%n#_8efv7sEs`cLC0F3nB>1EZt+f`WqZUf;ieSGlup zk8~+RdhF|!k~aIG{j*bP#f@bZ6?JdbG_`OdL8K%Q$M0g8v3G69$H+T;55mH%ahgq8xuwsOglaEIl= zd&JaahW$Smc^8>6FAEPl*fJ%jq_w?$%_kjI)w}U0l7r2gvY+d49lg6j1n5A7JYk(# zF`D#`+P65OxFCQ3*4jdZ_SG9UT;O)^d0yl=OQCRFU+GBM7X8JQ&J`UUEg&d(%-Cb# z8XjEgLhg%lKmY?t3~a+~h}Kz6_P6Vu7%{V95`yEIjn>s)|F|;T5$V@;jl-z&ftqZ* zkYO&{#m2>p7aIjIj`Y$t*vU5TYw?K0T_qqgk6Vb8bUd~x6qryoe(l9L@``cfgQljY zO!bFU9B{=dD!;OHDbjm9;%QE^wV*+^`o3nz2L}!u@DB~`9q-2ZL*6Vz{-X8f&(2KV zx_MJ0NYs?=x8EWFoC>B#8XMBhtBn(~j{0$v3rKe9`Lszg{yK>#lHYZQ zDccRNU%!6G{{8!bpcK}wT|0qr&W7(OE?K%%Gwocte{gU@i}$QyW0uY6ya{}QshL@K zt&XwwsZ$a4#-l%*`QJNiPxX_XP{?X_ew?6_nxdO_&Kx;LNm;qN_|n`q=e*hD1!gv@ zW2*%e!vyMFHG}jsEFPw&NI0~&N)?<`PR_*N2(UCNV>Yo!QOtiW!=s! zxVD7a`dLjzNJtfDTn7uRonvo`WT1j0B9YoSj^y$1(W4lDf3{{1M!DXLvp27^a_O}W zAGxzGdhzNl9YFZnS=P-2y*Ob}iZ!co5S42abw(w{zqWjgke|DpN7ev$S%q+$a&z_8 z?Yz9N((+1pyr(uPCTK(+dE(hBavZRN`QHhJEN^s*Ak z8z^6=?ATl=*;jX)SCK8$@WS*qz-;m@_8k_8nxZ8auMHu_?vRpdbU1WDk>G-fk={hN z;VyF&1VFgzg;yRb9>*>h6&1~&bNWk89F6s+S;EQZPe*<>KTehDlRIZtH>ks=Q}pfI zx3J&BT$W@YThj(VeL6{=+nx3M9t{<(935;cEp2Hr_M9B4ox4I>{ZtF`G}TdZSzUs* zGC3p-vaSpJ8PWM~zoF_-*V59u-_5Z%K|e6>XRb1~?8lg6kJGIh_x3jD>5$l5FR7uS z;f8zUSJcnE@R4L-WW`Wv*Q&Ilp&SEj*09Ns(aIce-n{ADKRfRCvvATHpO{eDJ%8T3 z^R4ghuS1|^<&um-PS8`69gjkYPe=Gl>UXoBHeQ+e^_r(?HrS&Ng^guftU}|DM=Jpm>*YGe(~mwDW3O32 z*(U27F}IkXukZXPSK}Eez`e+$eilEQa*Vp$xO{rbcpb2brza2!hCd$V=>%}9n;K{A zF|Uf6W3yF4;&b<4&*wD$(8>HZz}BjgJL@x?dmB75#5b_270bA{W^JQ4_O*O`ZgO-Q zcsf|dJyS3J{5PkDBs_p*{VY}FW^y35=HCFq1k#&88ma|KrR}^SHamDZ0EMKw`aPXE zlyk!UH&(`0yMFOgl*e+AV{7a^olzWIA#K{yVh4oyq0QbLuq9a5GnX7Epy@TaUIlK$ zLs*nVyB{Uvna$(2;v3wsa;<%RsfZyH`KdZ71`-65x_!O0a0sBdU5e_hrRBf1%*eer zW1=mj_{A=c&ju91QWkY2>=j&5Kf&YgQkJh+#Wgxhc-AHb%Uh?f-uId{+UL6uI zCUcr>Uo96cIgfKb-K_^2E?6+YOUI!O4T3gF^|@3yKf<~>*L9>^=p8EFp$e(K4uU)#Xfm;JaoY&2cAFlq z-*d756zzWYtCug?*x9398SU}F%?Zc~D7d0JIy#nijrO6?iQJ+R7=e1_q@VQQ@AWS% zQwvT|ciViCCTRD`lP6)OfXpulay7&ft^@3O8W~9{XRGF1?QoC5n`T90>#eipc|3>i zUthNNslIj2VJVlNH3WetXeYKWy^d3P!ong!cD!}9cCw!K>C>kZjEiPmTLL;d&dZE8 zIkfC7d{^c z@~*qfCAHgi@a*BkhvV_v<8`Te83}8Ijgqpn#WQSLjEp^pAFkVD;b^pnyoID=$35%9 z@pF4DY7|h3OaQ;(%PUPRGvt6yNya+t09e6ZsRc@^ z$+k0D&MiHb|8qU1c;QZIIW9^BCz~VNDC)WDbaPEHyYGj7IOi4A(cZn=HQM4`6ptHP zylBxb#IAESaT;O6b*aWSDBBoZo0@u^AEQ1F!~<~X|0-`%)*0!3?xV* z8^8DHQG3SB)5EuY`O?mR+?+a+<3JC_6As40t&6QTfBN)knP67anZlU~OPZu><9Mpx zvs0Jo5;>-&Yf?=?{fNz7uxuBhniel#z6Zs;$g$wvA`iA46aD=8GrecDj5jIV3MmSY zQZxo}Ei5xF++9&oF$OhI45ILsZQI@%fbeSnnb)@$#6+Wn%@34QTefT|(TY>w)bc|= z5Xo5#IIa5G>4U4exvl5SnWKV~cnpPa89*%~c@}%>F~TT8*FcIYudXjIR~9a4&8Psy zhVWqJTiPayBN2l`d=A)+KFzt-qznj${7mKi`8a~)1B|_LI_p!zbrC0Bn}sPpHsZbl zXTPvfDBd4^SmqA>v5=<&nEpfnXkPX2&sO}&&lbxPa+d?8c1TEwL&}f7zS#gjuN9Q+ z^j()(DgA^`6f58gh*~Rlu2sr!?6dc64&lsP6^c*!bMh9&^T9S$V!P6ERB(y-flMZHG<#O|Vd3kM^j62(!H6@oU@S#4+fg(o$V@PmorN8}@%=KHPun71S z4eX|5Awn_x9P4Sy(Ztbvmb>hCAFucCrNqlCLZ!4bFX-M*ByWA{VOg0DK9q1Re@yMu?E`+niZ%M4pWC%QFy)iJnVQS{{@Ae?s0* zZ`K9Iw9X$mqMdl+80(FL$os=6pf%2%d5V}HgKH(c-1@y2`t`OV&LL`RgFRzgw=MxJ z1#+$-$AA&J3CgXdEYq7MfCE!jvw#y9+mE1 z29yd+`g{hYj|JE*Nw=Xm!gI8>wi+bmF?ZRvEi5NEY~wrXk{^SlJ@Hl4#CMBYSW;}5 zn-b0hm9IQdg{h z1KI9U4v+D`@rEF$&lyMFdo{9API=FBT>rbTufL<4e?FjT*a&dA`;l5+US6lcRz%c@Ed=gk^$Pu^9ONCak~t>EWdywA_-@T>6X%RH83q%1A!c zODl(Nw;~h~K9@d-*pXq~EU6u*E+1g%9CUpJPYQuaNX!ZPSt*46x_9rl;h)X=R5otz zl)Sz|{T2JCo^3yo6t{$Zdj|l4#*dOaGDn>jQrODc>;?Gw-)!|nzzW!#*R;pzZQ0kJQ6le(YGnk zE)5XQ%0-~3Q2GVtNGdJMYD@+s0hyf z=8<13d?nklZ6)A-bZhI`wI+O_vU2M7_Ada=wIYu!znwVut7XWQ$(MGl))a~o_Z-O! zG|ouH2V2-1WKX}GS9onT3e8v;L{6+m;?1{MZdfKf00MG9f0o*XF2W6Ft*kulj$v}iv=o*gE>;F{DXOFw*|@`1UL*uWY-)QuBS$3gKwgcRwM zTyWNjrE-eLC@XiK!A5KwAmGH(Z6v7xEs_+x^A(DE^5=pNC^nyD86kmpU7MADf3Q7l z?LwK9bx$d?#b-KlhTd05n3k?xh<%FMU$&dp>%2o&)`(e5KF`4eXp}%b;GLvJ}>ZyhtfN{PJJ!t2f&~C^{-?ENQ=qFCwZ(ow1#* zWT?HkkRx?+7C#Fgo=>3&u_B)qJ44FB;&?WgDJcA|Hi-w{zvqAFa{tCi|EZ|{3ouab zg^L^kliDS^#POV=bFu~%TNBq%Yf340M)4j%CB&?8HQ#Juv*)LtImOT6$H25$| z{`p2Jl*irb1=K04-P(PEvtF#9E!Mf-6;W#TEbbEh%3Ih}`-(F%DQRc;kakFj zYAnr2v!`8Skg4lmsA&17?h_tbc(yVAQCh2>A;lv;s;BF;4td3{H-DM~PR%1<`1Be& zlq4RofV0uvux4*h&D*{Cnul*EOR5Uw(zGDR6sasO` z`~N%Jzy|VxA)3xV1rn9}&-iMnT4(aTZxQ}_S@meErL%hyg~Gp-tZhj3lvAp{A+T4# zyuTk5Ik7$-SjpqZk0%L5%2{XWBd<}TP%6J~v)47y_@hUUgHl{bp3+7h5R^;|wvAfa zwtc139Ez>%-%#wo+3}Ej=PcMoFpwvb^)lEtY)FC-*PTNT(}Xx`#%1EWYBi~(_sn0o zFcHv-2&~t%nZd{7l8-g7aKR9jNG5<&hfy0;jSc)5PW7H@hE2;mF}_YKbMKHqfzs}-QcgK}N^gcKVJJ@bHnYBMZ# zXinH)XG}~o&b(QoY(XqFl(8c|we!Dvb9+zO5qL(bGGx++4<1B{n3QyY?C|G{{tHW` zaI9SU1c`?2li7(Ak8oEpHd)-jSZ@h;;jYbF1T9E*AwVB-12(-1(+#yRMd^ zA{YwzL%9_RcR+WW9POj+O9=Z9C=Kt#U-ACI*0#Pr8>hA0C7iU+k8lQ-aP7+b1cf9? zh=s!k5ACfVPe6G1Xw(8^LE6$HJosC_zBM|=p3y+0ijvbuGA<6BDHy6!o-pcwaVwrQMs)9Q1UcPN_;<>1{lWdNX!h5My6Tb>0gf$tK0RNuc(Dd_JHZrga>urt7Io|$ghtgBK06gl*c^bLL}ch(@G(PW zVzi5Ou07A+I(~n>n1}=mS8!`#gQcJPV-9Q-x+f*@7GK?eg@05dCjzK`jlD#i73v&% z9))xEhTYX6#~?Ft@nPPGMun3n0|_+8+HmCF1v7}^0UKKw5e1Qh{a1u#hr;6|Fdiaq z_mVMd-}d42izEKh%tMbC{TmCCCo`7#yOnT;b6@ybR_O6LwY2R;xkRnqz^^dl?}k%u zXJ_}O%EiMYpEdzi<(rQ~z^;D@3MiO{2P@)#?kM48x*SLdjEQ#mIjFpz8K~vr16)*{ zjInqF=H8UQ>)Zb^cBe~}#HCoD=wC@=t7qtEztjnTzJOAG)R}2BIAVz;rbT=LMh0m; zp5Fo~HhlQcj1i8arP%n*zoZQHo?l_oqbfk;$e%@PXPS8@v(QBLb0MoM_uN5zgKVfQ z_o`Lj(+ZJom;Sw~|AReZ^N81oLa7kkT7S~;z|B8Q=11`TN~s22VRKIeAS5pOJJ2(0 z?o$q23EI@6@K;@;N>@V+Uir?Y@UI~oqqu!)dczV_?{e{P|6acT4p-ctD8SZQqC_F* zgwDYJ63({Z>e*2T1=NQPmn-g>_}21Mid&Az%`OGp!?OZ10Joyj_4DsLFuK~*WI(Jw z2}T9EAN&O(VT@6v68l3Jj%a2!lM9kF|6`HcN~4S4=95C1l;R*Wf0)~VyCzy6DzCJF&u;Y+XGIFKKOXUQ} z4HD`C7J#GS-ZMD}G-0moYpoj66$zc4>)3h5$(6j+=lJE7Lk{mMD(Z*~3hqwODF0KJ zJ^2wOnv=JK{u@LKZ^)}~ygdI^ddUeKl@mTduLyk@9BlEcFz`8kSK#Mi!bcD_4kCpj z@o0gss~-dxa#D*~Jw)u@6v1)2|LY&rD5!7k`t7#jfiui>+`o8^+e&)}hh!lpym zZl=aO#h@j+^nH=dONL`=`<5+7kSuFBj6I$}bLgly_J(lTCf)4|Djaok4T@cu%47=q zUoP#cioU(q=1USJ^YB`x2{k)=1Kbc!E1f~LWSoAr0B(@CiJskc$)p;_CZ|~wp1%?V z%F<9-8(%^o!n)kK+YxEy z0CE8}3gj%=iv}xwimqHZwO_?f_yCBQ4BKxnJ$jdN2x$>k#!a6%rHBMg6bDp`7BFFa zaqAYO4Wi24AtPf5GI%&0HP)Mw5{oyt*yoP~J$x7qYBF^{SvH^PUD%|Aw}6cx1~!6t zyq?H+Kt)8_0C)R2HVZDay#B?!=UfFJxXwn3>grqZ2TSbCceI0SxI|!Y+rNK zW9!`bPd2gOeJnmbd!nO%Wx?{HZ#Q_9s00%!c6N5ceVJeu3IIW0uTA^$3$w(ZVXj2# zvlVVDfj;5YOz`N1-dzPKi3JuB5oySGP19*aX#mZNUlC;DBfK9-C1ck|;nJ?hK|G&; zMBt%E@*Cyr_stO;-!3iWt^{|-$N-ShUm@M^qh@0X{d5AF+aBkhlSGC|Go#gc&oFps zy-+fV){T{`eaqvWM9w3qe|1vEsf{w>XZBd&ccZHitrAcNj5j=ny%B$z7|J9}1<}bO zkKCyuQXBqmKG^ymo~QmK#=mEWLgpeXfG!coGrl9V z1=uE`VX#BxBVdtQm#iNP{i!@eqWU|6HF?>5L;|4qdhDTxAt6aTUSslq{P9O_cS@ck zq}J`bc2#x_{(9v+mTBp$*ROZM>64Mmq-x{@N@P2(eF9MjqVq>>rtP-_#8V5sw+>rK z@E4z>zHVjZ(gApAh}axf3Y$dzoqb>8U?C;GO0aX)u$>Aft{@+xo{N+4TcS>Cor#}J zdk!>*B#5qH?G96!md1&$#C0%E9cE|70j1SPDwo=QEoOmw_sYTbKk=SmVWF-OBQF#a-! zkNlUo8|d~3N?54O+qz639>KOLVsgG&gP$t7l>kS<4gs9Tr z>|9RXLjBfnmA7|614MRFgbF!KTysb9meq*c$vc>PLp=fT$){O{Q6@$lr${szj-AIn z;c6g$Wx}e%C-wQC_f|fPq+N|!sVRjM7QHyI#Qld-Gg*jvqRD42-Q_(q2l^rr=E&sVP zLLwX9OxuX#{QR|4YjGlt+&cM*5zt}0PTxiw_IIrUHz!i4t~tSs1lx`+>Nq?G_jWQA z0VQhTMAr^aRKydoKGY`b?~_4gxJHLb@NW~uR#`;WXx@<8{%I}Z0U`x61lA1m>XN@t zAr9*{DBR9Jn*yrwQb6wo|U)fwLh`^xjbpqxCg2;3NOpx*cBeRX3+(byZZ zI20wpIc_X4@u%Xw1$OOHM_$`c&y{f-%2v>prxHRLHJK%fMHthb=WZas(vS6GaU1E0 zM*Ez%op!l)NzeGRPei6a6}O?Dm8!b7U0q_iq$x9*~H-+qZ(@A6cjKIO3<-j zt@G|i=gBkkq566vVzoX{vv^PCC&hf>)S&VmPLTt|C{6r%aG4{M>luFMN4DSseO+1~ z1`;AYeRuDt=LZodIEr?WtM1=~05$O0EZiK2KX}*a%UD`r6JMmXSh!EG+j`w6CIeg? zh_F!${G$U9gJ5l{0gR3$CN*#909-dmVd(Pbt4%S~M+J>+`XW0)`N6Aim2h}0u|jrO zqcxwryzsD`@FDDM2<9>Y)6>)J(2GwW4#-570KNUk>Jl#28)QAOm2dB0#*da$JVOUK znMOW<6UA8CAD*+*qx7Yn#InKOW=JI_eA@n5gN3XcNb`XIy?dve6e*P3JBidP-Y(CLJ^`3yJ~6IAc+oXnMJb+x0vr2)bU(niQUe7@ zb~Q549Q-1{Wm@h$wvAi1T))4HlKmRseLTV(<~2a_VzRk8hAb0}n=B1Igs%Q0{p`*wpJ zlojMm_?yUjQDj%1aw2ENTN~{o&=iu0=pBBBNud5)j^n?hp#0B!wSFU4b824+C%A#| zk${H}+tOxk-LCHRfAy_j(HQl331$6?n^0%O>Wn$RWBzMt^Yjb&F0d?%Tkgyp<5kV7ZiO#EJ=gM=t&!eD!~E zvsv+QfxU-W4v{Ks@4u^8oDMT{oyT<_YqBFIXx=l#vU)MY@6Q4REk*t?P68^Ez6aP4 zp2r=>1yFoaf2*`=hdfCP?NHaEQDwL{+z|1V{QxU4&;VmjO1Ul|&$ViMW?{wV0ckc;!y0Sl+ z;!=wb{5m_N=L2V_)j2O&XtB=~v~fiXkz+wdp?!3lmbj_51Jr7Jm5G&K(Ni zK1IdE3c&18)L;CEQ$=E{@uFwBln~MlBQsQaka%BEb3ge9{b@#8L6}8E?P3G_7s)~q z^S(WwbD@;;NA=1&vB^QxBB6lpkQPhZ2H5cYLqc|%_(oMX?vs$vMfn7S==C?XEZM)! zb9{UPI5N@M2twMk_h-Vo>*=nOs zJ(ImquCsOaW)YHf@q7pP8E)U+@u={}j~||OI=|#7&pKoCvwt4?@Li|p?6;@zb80qO zJp~4sfEA0V$TVXVX%Fw+iy$=?a=@QNYFiGWVF`_jD3Vg?6{;Hh;gMiBQRscB=D#Am zCS(a6cl?VKCnQyEpZj&GZ$#rEaFqzKt+i`lVZiZrYd|6S?1ij55Sy`- z@;x}5Rko^zRNmWk&=F28fQcjMUr@*8)JC&J>-b!Zou~etXnJZ~E0}Dg`2PQ>i@q4h zs4hV(Nr4dBfcUp;*)AgTkxKaSQw6_rhP;?r#n6Ub;(v;xxw|PGzcYDMpH-+!WeGmz zBUV$Kg=g8DDTTkfIh8nnMgEg;Q=nMoo9vq#J&$?reO7Hl;g4GGL;y?i4NiF`LMr~B z-uvmZicZX!HBSyMoNk$&4zGdci%fN$=vGwZ|AVWmpzcAh-0lzfT@DY5j591%4E$JjV_ot5CS;~|`6{*#o zL!JJP0i|t(+otr_GvAM#Jyqt}(>2C-pRM@+0_FXeT=}O?KbA|hx+6o;-=~2i!{Og$d&bF7D z%Er%g=TQP+A$c`&OEPp_tUkfg>g&XPMM}Ch+YbCIpO`E}7Zx~g?C=s0d7BUuJ7J?G zD!)g^V>fsxxbjds13Z1dl@BWf{@18daP$u)`@P$ef2|)|G3+Vm1_Ubu-HZknSbA1i zCnZGCa$bME$Qv&HlFyNCzG37dNLjj9)VfKW_`!*r`grs$Qkuc|=bmixZ%la4;=bRu zL6H;2r0|%({sL)GroVVDA;}24CLkrH4?40IuB(60v;R+Y^voWg4{qTMkK_7rl)(i; zYA~*&N$VpjW)f$5QY4nQQ!eexbK3D;*!hdk+UrZhJ5q(=~V%kE5BJPhj)rmzK>Sx=@Zq z7JCuL9nfk{NKlZj3Olp%Au@Cf=@LygE;0frD9!5WVJNOMSt9ecHQVmT5PBNdDBr;) ziSKu%YmGi+BAt-D4bRrFG+##xO#)g-EwOL};l#?oiCEQne+ZnUTf-<5!pP9zE+U<* zw6KIBzxUIn_rL%VXh^vN-$JkFMxeM4qKeB2vya)1;r^b-9V8zZ3oCUkA-U- zjpdM3bq$Z){D%PttCi=x)7p^$2c;)1w9H(90`(7Y85~D9qM+^PkC8`#G?d=Fer?d2 zKp9)Y!bNZAQIN~}WZApoeW%SWqk+x4jz|W%Pt3}DQA52VXdmo4F7YF^6H9Y#rj7y{KPKM>hvi1$FdMOw{DNI^5nq=j#rFJSY)YC8Q$4J=e;;Kg7%tO7{@pI$y2W zKV&fpj*m$t{L_nfm7E8ob}e)LD-m6AL%%lBZ&J=Z>fjGh$>cYnBaak|P_&3@XZ&^B zPoHwrFvo4(b5zru+v7j>^c+xYeDu&H(xH%rqOO9TgPH{G9m$4ybvvRaCnpopXnE__ ztryQEDIB-(7@OX;VO6jlKVALBHPmF;w9IMb;uy5tM=3?f$31M5$JTlR8bOVd=mQE0 z>VS%ZDa#On=W#vT1OyJ{DyRA9(x1OT3Xhg{K6C~(uVI%Q1F~m{J~~Ny>}6-C90)^) z7RlqFEo%8$`Z0>6LU3PW*OHmHfwQ$gIBZW#?VJqu$P+G98#kT@qn~%t|1| zFPym*e${dU@^Wt_uB9ByM2S&z}zOE%_&ZV54f=3roXoTm)W&5>zDqRPa4cP`~sI*ePGn{9sVFg)ZuN zx7B9W%y?Ic|L?|*hC&>%{Fi#c2mVD6PEY*nf%Lh3jW#!8Xmdp5$-i-5{(VPd&{N-h zE?;EFRpH==I>9*CIy{AJ6x6s_2pK*~gl9`_`@Fkh9XAd-YO1o6ANDb6iqcl#ZvTydwM2x3 zen>Lc-EhS2ZRCb-dLnxFn30?-w|V`im1u7xfBvrx{2@LJAt4iAJ^?YY>hDVAvrh^L zuWmJ+chb+t>!yT#>+gK=*dJ?j$R!rDqV@GDEc1z_K72R6(W%NxsJ`IwiiCm;P@Y&i zPKqMX3defUJz`q=C?hvSc~xVv+l9H^&zC2?-TRFD*IynES%F3bA*TgP-T3(P(KN1I zm%VOcCV(a=o+P0kml3ft4;3zcwBreVwos!ACH2l|JD8@fF+Wq;f|J90rq9RD36Nvb6)t7lq_U^+?l9o#< zI+IEBG$~5;>OZ4Mt3@|hV(GJFGJnO47Iq>)zg zEHRXT40ORILe7pSUIOUd>AC60Ezt}>Y+sI_O#|M8rvmx`*F*U9+USQ%h;r8K(vl25 zM_}7F1!Nhwjwd(#@83V|WX|zA<&VzP@8jNf%Q<(+q5fj%pz)Y=_vsaRd0y(yLSrGM z677o@#}20qRXMfqCEj`BS^MM4!fvz|)0^L72163MjyR0(uMub1q1j9e$9(u5uOFGr z!ck*mH}lB>vL5NF(=l{K!B>-j=IuB3jR6geu|6!x z09l6My;i|d)%!olq9cN|0}f$!5M6&C))8&&9C?TQl!u-Cv+le|OC!@gmTwSO$ApF| zcyHW|>V=c{$F<4`VGu-BRkSj6{f)>+DmM88CB`HNKubLnH<%9AemlCwN%vux_lzsn zB@PWyOhp`K{XLd-zPcN)i8Exjt6?Ps6BdYHVG()(H7E$8#bfwr+V!1DUm!qE8C3Ef z^Og+DfSlgUMimt4DiF$4{J3Sxpk~XI7ES(?s)mZCiASu7NLGy^0947k)I$ECeP1rV z8tVA?>gv_2ftZODBmOf?kaU_Th+>w{d?9#s^6sC-$ec-!dfoK%_c3<@DRQl1JLx5a zNoE&np%?&!c1X1&24;At_JqU~Q8GN`=B-u4LD+3@hWvsXOB+?;oDe}xQqt)dj27B;Ccdud1wV!cy<_Ojz3J<_n_zOf8?s6a zc3eLWPfdL~c1+Pm=+TDLDibBEPheBY7?PoFsM1*6+br(ub&1fZdjM7+3S{WH* zKl~mirsO7Y@(6UZrQbPncY`_Vxl_I(ThQRYY=d~^p`%CF2b7v(Q<=f(=}{pIqi;F- zBFo{;viJ}nY=a~u-S~#nMC-cBg+NAXUYN$>sXkMY)V^+ahIG`4usD zGcWl@30lsV?mHq|kkW>JHaC)!0I>nRy01O_`p^fd0=wHCGD;Lz5Z zD3w^U)NP9R@f20cE`(5DE~$}_?$Gf|a9)ULLK-CxAkAyqEe#Q(I?u&M6QT9N!-uB6 zBIgjG&cXD24x5_%!|X`~No!>6$R7k%DiGVTaSHw7?f7Cx=A`*PGF683yrLqfjmn#s z887XC8%_j=^c*&MJ4(Jih`wlZ!VzS4z~XqdBQESFy9Xhw{r%Q(96<*tA*8jH%!r{m zk!dhw5=`NE`{VC9j5kSf^dWc&O~_*>oydGa$X;%bNK@Dm>SwrqaQtVd==)=kQrdyi zcO$rp!Kd;h9v$mJ=%x~B_ihxBlx#?=zzC>v#0YDUnL)s$5sCEZAX%7PJ_UlKV zUt}Mi+Sfibc@PMo4CF;Qdf?BHnKtlEnxFy8S0vV(ZyAm<#ynOj@|yPW92K-131}gc zdM1D7(U5cAwzjsit*sOj6(uu$WW3S7C`vl6;S?wTjOvZxo`ZdSC~5Fto0PT8N(YLW z-Cew7i70869!EQIIf!Y~moHxm1^LWiy@GKA!Jtd<>9(WL#{-ewD=uI<8pQZgvNJJ? zgstJ|g$qdn`k6_JDk{6N-$lgEm5~jYW<~022&T}w+@~$EtizlbVWp&}8tTO^{Cy9~Xi)+~b6}{Ep*807 zIMSvHAB2Ql!2akPmK_GU^ce1m2ag}?pDG}~h~iCf&?}T{qx(?DX_!k+J=&>z2D#k~ zM2iZNcp1c$TpN6`#P6qDF}{)G4^>}tmv7KQH^^69^5mMJ;<<$aR^4` z@Uor78s&4hK%RSy$sfV!2L(NlR)RQkhAXCu z$xM)Aq~lpO1niRve3i%n0{s(c8sCD?^+1cBkteKMQ!o1tEgpvTG7z#LiHIm4ShzoGYJ#6TA9wU}|$j!yht7+M9ZM7ui= z8EHY{uXH3*)4qMHx2WJ}Bx7NtaFPQL)Lo7ZdxtO0ym|}v+UNnaG^D|li?4-~FI~Ds z-_Rzkh`CHQ*iFYs<2qXIsiYZRhWGQ~`9osILc~8}=0gSJU|mqAb+ZN9JkMhinell+ z`lM?m7z78{7u++Tg~ezs9Ll#sf2TBW9{i*`ha|~)1h1B+!(+B^h|HDhmINphg>5gJ zZvR(HeNGd(T+B7%Y2s}WpOnQbK4@VyP?K|`)%=uMAi1@QVd@V@4Z`4@s&|_|-^e7t zs1L*r0T`(~^1yF;9g_%H^A;|A3{x$;Yf;6r4suwiWq80cr7Jdwp8_Q(b9%yKjvH>Q z94pw79<@Spx1F>z@NW73PWYmtlZZ61+U;AuT~{)dbFfN;DI&q8}M< zHEkCAeS7E7kMON%0s_-))E$yD73Ti)0YL)^6*RS*`r;;2`jV~P!916lff$hm!OOf5QN7U4~{e!p@+D`6{y6gRw|UI0w1sN z&l}&Lc7jkQCQ7^rfm@qs_2`!&%uk354>8h(UHrb7F#5P?hMqH~xDgL0+G-widk$%+ zO}0!+ziTWplbp0Se~@(tuE1ynNCL=Fqz&)%Mp1!@9?E1ICerRl(!KjtWL|}1d$+=e z*|ocX>1kd?=q9Q+3-^oxWSQtUGR!8nGQ9de+Wm2!YXP$h;FF|AVPcaJZW7GWajXdj zm26a$9WVUmC`m>K5_cRm9hx|CwPE(F+>?6DhHInIFf>A7<3>58`GIsy#nM1xsYmRq zNb~~;u!ND;DD}RNkB`S_V+FQq;Zag)!dj(tzi$|yUJV3V1J4X?5Cu3`#uf*#(dDS( z)bSq~E8<4SgbLtrzWg<(p!NwRVEJI;3mIML!v}AE0v?5t%~RN*s_|fI0ACa_1u_R^ z!?7@F-9HDcl4(_B#!_M`=G=vU38!KdUOeouZtX#4>F5?C#U&p3qwto_tjqbk1mY`s zi^5ztM(3}1*3{HACxD*p&_0Mj*omT{3eyuK!T5DyOG?uNR*(^rcR}pJsd@72Ai4l_ z;oH!G_laDK)#n$7;Si`rLL*a}n(f|lQD;Uu3y16Ujc5$w7>4aMStr~~*6+%dD>U5} zz{?uUIYj5b0s$;!96-I1`?0Fo%z+5`D`d0{2A}EdpBalJGhfF=^@7<(rf3c+bZdFz z%e0w4o?}~(AxoZ@W`bY<%Xr%bRJO#hdto5DR_DOMgW9pG zTx3Eb9!(v}+GLp2I+L@$NTzlZ8>>r`-3=p;fx~22fu$}S4c0}|&LA@O8hd+ihZN;o zF`c$J0k9-grO{+}D7v9+*nQ^pB2sUX5t?{pj`fBvZSEUrCu+>(08+@E5F(gJ;f{{! zDFq{XEiE}q?{PH2xxW)Jhm1cXVh~iM8ua!NPa=6O2vpgbF%!kX&kRdod2HL%bQrnF z=0xH?j`>?py6Y2l`h-1Wsrmc6Y1TCN6@v^$Y1Wq(iOu<;`x!J3KlFs$#r#gaR(H?S zbB~$Ho}jyV(6m+=Eqw+{7Y8wKvT<<4V%d|6H6O7#ZjVKF>V~CW1B7S(7X=jYKO`>q zkdpbrr(I5cUknLr4Az4cciZF=``QvFc09*+35!mGwn_&p)C@KZUVe`lRg3Z#(?!xg zStn+bvqHvE08XVK<6IO}R#Ve~96(kVgbXao2N6WbcfekfUqlyz0-5?i{CKEk1zQ;T zxQlCFyl_}S>MxZ!{0*q^VQ47n);9!NBC#5&`+-dXLVFh~w|X*GidgJcyIsC~nJ@mN z-+>Dc^XaqWDS0>rslq35UWg$CzbK?=(Nb7Ih%tbn9dH(bAVlG+bnKYmu87gj>Z4@j zu90gSI~klwTzt);X&6MiY5)ErkJJa3&z?Qofj$5&%%s6a_}!!Qs4wReAX^QBZUMII zUlbt$V@rGNzaHwDlfE9@78xEz5=duNG=gs^=^4bCiwB1?evUE4h4~m-2=#kViP2VQ zIzQlO0vnp|Wjh9t=mbwUnS4aXm^!^-*ST2EDjpCK5y5cd!7$3_WPl=c9c9>jh3pSy zK*gFs(L$ye()AyOh8li#H$XxsD+f^H+5l9Zj%hxm)1j&}GAK4S*1dopI$p35T_1SC zup8;AwS+fn+&Y!dvz=quh|FHw0sAY2$xt)bbLV16nx(bvNXb3`0B6*A7V&Ak@W-R8 z^>dQIcOM?b$L|0YOb#5LM;v^j%>G)^Y5CRhC0KgweKHw?oMkdA1TtPX8e;}k1e39Q zNs>X>B?$#Y{x$Z?1zR#sa2AX;=T)*XX|&3ksz zxBx^8Q37=KV|)_vdl`9+o03>Z0uy3?3^eC3#t5cRJ@ogF!tpqaiuyJ@XWeUA@Kq^U zY4oFNllYH1oQzC!GxUb{4lR@)$p8MbWw7j zXhSk2V`0&SD_uGm_Sk!r@s;#1;i&Hcb4Zp1d8H23lF*plHbtb=2=a&#UrD%1cN@0A zlz{V)lPBo=XX9Z94sWW!q1X)u3i&kt(DW`RaHgO|-!Z%-LAsEhJGxUdsu|poAxV13 z>5!_mJ96P~sRA~P1BcV>SbdD%Emkp3-jkYS^*F}1UJf=ok0YLePE0J)Dcb zuy5E9V$)g>Rk%jIOz5XjU$HsHHi-}}j1*Xy6dr?XioxRun@jCXx?+uSiuFU?^)#&n zt@q-gswiiy&_**F2*iO(Sr;BSbC{qA`35Gk9p_+FGW4*#r;!rWbXRm>t6;AjgV;?d zG*SrTETq#FUaa3|y&L;7gUr9e6750m+Sb3(&W!uDK%dre*Vufi@GBo$JHcmNiZvF9 zC)7E?{;SunH77&I5D}P^6rM?boz%tt2wVUFcvLZO#+I#HnFS%5STr%~noyfGdG@7} zfyQB|F{*0-eC91!5DY^=Fz}t*BT~3PM5rZY0fuORoa(!1Rl1PJqtXDOh0uqvJUs?q zj zS#c{J?Kh|ew!Mv(2SZ<=Dge}c4mJW)Qtz6md|Y@_ijiwJgRLfG+~Vr(dQ`XY9_laGI*ZVsLaIBxxtY9`lPXUFR8-tZU#?cbxR#E zE|7NrHSGqz4@OE1{ZxBlhQVmGKTvuGg6Mbu61haGoLm7t?OR!O5=NUri#QEU!W>ZN z7{EsvnlSTaX&3=+%I(&%iEz!D81^WJz>!*=6#Cvee7sP$To1>qe6^bNH(e+nGK6^` z%Z{OlV(uds2zkjMVXOI3sPWQgcV7h_aQ25PU4z-3ByW)30oeW?DXOa0k>i5AcF}n& zMJW$`u%wwMSkj3|a;8oanP~uqhmRiJAt+ehEoZ{7Yd%x9A5*N5gHw>l$&l>%DQUns zzzv#&YN(etbQO%)h}l$>uT_H}v@I|@Xad)=8)L4Z{_V5_c}BtmmZuuOeN_A{|0c-) za0-*5_*fS=&>l{Tnf53m$y`!3>4B?gq3JrlvO@WX*$f8$rIK(;auYPgVQeo&YQ2zV ziwENl`Ts7!cmsm!-O#;{PNrT7&4sD+LogYm_;4*mbCB}tWNJjcxuTEqd&G`CsO8BN zM2PAyayNW^I)>ATBq~VoO?9lAjvU4KAT8Zv+@3Uop$MwRCO_pQA*-RcpRpB)0L;J+ z$QdBqaa1&JafW-3}7Owue{7%Tf8Xz0 z&Uw#!p6>y(?mUSqM9zhlU1n`%AewtmLsNf+Qs@iOIimBP5R zB#$T2(Lpq3&LPdXke*(R3t0BYeS&U8A=D*+ zafe42cM%}>%!gmWSgnW%4ifvUZL_c0u zwIV{WPpBl1g`p5J3C5DzFZ4O= z@qM#&?(|RjdRTQ?7)Uw`>#=Q=ddN^N=tbl z-z)|HRX7P-!E3n2cwmX>{Pj}w5<ya@uGSW5gCZlX5 zT$^aO<4sywD=1R8plmtWHN;UQBtz7Cg#cr36!Qdl!L+W0JeQ?7zQzhHZ zy{O)rfps?8>tPj$>!wmS;W|Nt;As5xf;6y_m@rDLT7-G!);7*x*$@$=n}ozRn@7Vc zEfz}_W3@zOH-R!3)9;I8x&TEY@7>nOdNLm^7u~MHXKVU?&7d)9<&1Y%+bLNow){{P z_3042ivt0)p(6NCvebY2XWG~orYRkXI40*7{dm1>I;L(x6x53>fsXowkUePd*3mKU zl-Yx}N=AEDL|c@g!jwB7fKU@N;OVs0uq>xYwwuVwasvF0;% d{)wu#8W`yRsJ}How_nDJ=u@#LUms5`{tc~#6-WR8 literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Fatigue_Level.png b/Vehicle Live Risk Prediction/Images/violinplot_Fatigue_Level.png new file mode 100644 index 0000000000000000000000000000000000000000..d8a6a067618373208414a0b59bb607ed4d57fd99 GIT binary patch literal 41630 zcmeGEWmr{h7d?t^Ld75qq(O8e(t@B;f*|4sL8Kd%l19400s#fw5)#tgDJ7sH(w&k@ zNP~34nK#e-|NXz5&*wTH&U0PQ`|uKbt##k?o^#AG#$3J%^3tRyXis1;7*gE5JBk<# z(G&(ls7`VezO%&G!~*{jw3AY|Q?fF$b9`)Lh>?42XKij}XKwQ3f`g%rt%;T8HSU|- ze4H1a+Sys#3i0q*{GVUowz4tixv;bU13u)q^*s$+42JwM`j;S8EX4$ai9dnmasnMJ>gv4kDOiEk*E?$qr3qHOgTW{Z6>nx@|J-Pwzj ztj0U_+(Wh}1RN>~F2@C4tr|G~-Kf2MlJ}JY{?pL-nw!Y_HzOm5zXe~7HY!Gp)I$xA z!#!XyeGQKt2@b#V@*+e36<4?rON73lASQtahku9(2!#&6xc&e86^j4wSN>nLE(+hc zD>t7=-Mu^W``b%H#%oW0ki35V+GJy4DB`+B#Hs4Gzs->kHZ}EszJ33gn&tD_RJ)|8 z%j(TPwjmQ4IhFXw)ccX0)5;POFSyI+__B1$dprl>FAS-@ljR~EzW1sZ7`^-Xmc~}m z^Voz&iFKTi{Y>K2)KePoIC8Pwf2p;Uy`F_yDe|A>ry|B`1I1?S{SLURwr4WVdS1M4 zGFXzwT{d;Gyzypw!rnn~by2Ub*64w(lT(Sj@I3#JZL6q|-IPMw7-@CeM_zsTOJ>35{Y`}tx0QD@y*YZ!y`IxaVeI1~p4UBgoz~`l zDIGa-L^JQn>!0uFQeK~=GM#7$F>QisCNGwp0lxIB1|va zs5!!9eeRcEK!EDX-{!!rj{{a!I%+!hD!vx1v~Pa~GUdqfR47aOka6Yhy}j1bc4NdX zK{ZSBQ`;8B?!`-&)@rEq?%~N8MN%~ijHahkVtR6__S3gkCc|#7M_N@rw6V!&Fr4}D z;8r_qWOsrzxm?uEhikLFz1ceDg->cu>@9j8bap-vvyj!nV3^=gD(CL+?QpQM;gpi^ z3z~|@@alWp*xCx1c3r_K4wc!f6k86RDEBaYT?IQi6J^`-9{b62e=GfAg7@8bv`HqN z$!p>m6onoRk^*f$b&OW6idar}B+YbZggw#Mr=+Azf~7+%y0jPrX8{E`PO&vwbZ_WY<1D-0uygHOnlY=S zF9-WOhSWdVidrToCZ-q47gc@87|t;<GvtZmQc?8L|} zRY_~;3?8h+9H7m#DIYTJP7g_b5R+||Q}Ovug`w!@%(x>Qs+n!Dl`0vkTvB)Lr0UlO zxJ-U>l;7TB@;B6QfpF}KlRO3oHyr}2Y_&tS=-Jra1KtGbKvg@t)raM7de3SoW$xWm zc>FldbD$~wT6dBxm6WtJ$K}g+_qNv{687xA7s*BNpcfa8nZ{S;kv=tYfI>r{tD_($ZuHPu*cL9e1PQ|vW}cQ|Fk0!=dv?j9P;T?76H-G zE0->fCAO&1I|X!aS3PaNsAK)@NJCv+o9DrfUh_v@$-KNgTK=a&MlDfnINF=mv2c9j*{whz;@IYq>{;mu)9vzRZ3G_hc7#Q5O1?;Cgq(kluApOO|Lq7Be9EnkzC3-yh-B|mH1Vv_ zP7;uhLvC%2pA}vDaaJ?;(Q}l>2L}hoTy!xChUyqEnf3}-M-;`X5Rje&LyjXBxcr_R zy~UC1_A|<|_#%_e%Z>S*9HOE_esA9v9z8{^FzTjNY*{pDS!~~}qPA5mx?FduC&n|x zadCKP2G-+X5*9%NpZVEhK$9`BwrX!@v8ouWad?PUHkTWDxNtpidb7TNm*8M!t=0VE zlxGizQ%gRja~sNvjJ7f4!2Q~2+ZI993YWFarl$J`*8^+y;ZAv0VK*%yTdJz7f9!_e=40BKEDPLqwQ7%l-JPc|ospZH z`y&q>dzC5=_r}?^(4CEknGX~0_CNw@96V^gF`|yoOo{O*`>}2@@LA*i`}aMtb(13w zKWU8Bb;=#Mo()1JG{EJnW^0>hgf1SGHcsSQR_(2ysWmh*()9K9?Sbc57;z{(IFP<( z-glKlP_XpJ%KmES16ZqCCQoyXP{Sf&dJ9)C8%wgVC?&H z$`89PhV)gsZP~!r9kM*1{@D_HDcn5?Wf%`jV=_|d9wF-b8CyTLG?i66+yT*^0Y8cMY*oSgR` zK71&2u)8v`<|1I$!+GGm&nYadg$@aK#cIcy51E3WJPH`dvT{%-ZA!IIoIKeH`EF#4*2S71b|SK)qr+}%A}p+LIQOw6 z{N8+G%N7K#82|@b-Y2iHAydb%KKhE8?=PAS-uKuyZ;2A*J0%Hu#NOA8HV(?98~x-JEZ#6wA%t=w4zW zG&9QH@Sq?C(~InXfvq%z}n&A3G*t$$}@F$WfEN6&wHdKv{a>?7?# znCjBfl4jx4_o&WS9qcWlI*iBTSL-eX(ihM<fpb}#8+|5Hdm*$$$lrL-am5sbs zv4bxQRR%W0Z`Hx-%ofTwGZa2RVe|S00^r#H3;& zAJN`&E7=Eh_7n;tpb0;KgL`M=Ly~UZTkJ2&=&A(3n+`P~MA6DQg5ShOV)i*KhZ31j zLenJkbYiru;iqB|tBSQy1Z!>oHk~oEnw*@BSrzm@$T|@5{fJFUN($K&ym)amwRgwX zi_K#JN>r>jDV;;tY-n-Upl>RaOlZCEEV8?L+w{|Q7AV4lm?c*sPN(u}89TeulqgT1 zj{8&X6PE7Tlc`|}z~*(A`e6C!)?`dCJR0h1CMGAtHlK*&`#)P`z=C_iRstx?Kqc|n z*iSY-K1Fhoe_wfX{#f6X`EqM}bvof%tB4Zd%x>7_U_4&&uYN*8f`G%E`a1?;Ramq2 z;$(7K{(G}MSu0GF4&|tt0QmNp87eRS+wv(RLclC~e5Bzq{NpnIUV0Ud8f=ydo~)HC z56(NEnOOUXinLZiB`jUKPWfl}8`mzgA3uLG9-JlcV)r_4he^GYaQ7V^4wcda(Ih~q z%5bC&OB+w1G7tOWGMiN_V-C5pyb^kiFCHPrdf>2_vB~F)>LpdKTu^I_VTG3r$$a$B*i!qlH;o#iqaV4Ou=@ zwodKO=2V6D>59A>t+Tyu(XU*!yDXa)jgej_Nxgz<8Z>iI9Rpmlpk9aG+=n>pgnYRM zXc=9(1Ddo6 zygzpb6pS1#%Tg(TpJ}k1$j%Fwa$bW@f>h6NTNXBE<2hR5Ev-@A9Brft?Y=}~Kq z(5ntKKxO;ev-SXSQFNj|%bQbq@+976V<8KmekuS`Skd?AxwWTa()RD=RBoq3mzV<| zHr;QQqw?}7son3d1i)CRitTSEK)D+_>#_g=0)eBNHvf+9hAJTFRnLPB&$5NGS=2$J z_7}SM9@J3VO)C~z45*^wa=;5KtpXuuSvqkZoov$@OUTZM8Sr6rxkq=yvgjDpv8{WDMz-ngYUIY~9&1?yYu0Ki2-q zahR=sWAPu_eP{qu5itOo|+N$La^O^tt zS##XFHB8HA@TSORZRSjER2}DnbY#7@XN27LQ$J&JPk{J=&V%hnXNx%-QFTTzULA6P zs)0eGeT(4arg6(HXx~0$c6BKOa${T*@pKTG6b;uH478s+`#|KefaPEx^s}k}V6#ww zOYhy-gq)dWIaH+U#-!K8DSl@MVbB@`C&BVcz340^M(xU@b`{W6YGF)~W7 zD(A&uQW+5q-B&m7UFY$8+(9eOD#sc9gz+BtH*#P?)rsrB27GPd$=2-63g(f@sV z@P22oNkpy4&xuieCJeDKx{v~C$c^{Ifa>>VLoRK;qq&wmSib`0VO)-FoZ_(dsdDk@`J0rc}Zo2fQt2%ybtgmcp3IYxfvMYT0Gr`r%$e|1&h&DA#aTNtkk z07%gn7f2`$e}*9;B(_7}z`Vc^poRZ`@>hQ6m!m6Uo)@@oST;wCqGoO1!hWW!9U@}f z<}^7*cSvyY+^XXWH;%+hqNK&>GR3UfK|pu7=w9rmK*yDhwFslo)L05_VoW}# z`}5mz{DyYUcrXx@TB85H5;Zh8lRm8wx0gQLvGmv&k8K=qeLZn+CG$Kp9?e=GmcLyJYPr)zk+>0%^F^DU!#c2(Aao3 z+I68lO3;=)`w=GTzjdHcQ&&$#)QvwCPbhsQ&9AJUP=lyZ-y!_3p<@0>lL#P%FETTv z-Z>1>3$L6-7~vq^g+%@#suDMxc~@FPX5K)MW!7BQNJ$C5+NJbhx}fz|M#&1%ze|T} zz}x`cb-OfEHvns_&-naI$c)PO*Qe@Dt?EUZgMm~X^=0Mv+~1Wcp-`y!?@=h$T7(y; zAf=1Yx10@Jc^-;=&_3@(H$Vz|T5oQ1Gtp|`^L*mWQER*Z?uwYA%b;wdc=q2aPvv0=`Al*IkNrMUy`nl!MC@M#7`WG{SwMd7;p!@Ik36233I_NUokH2Wao%*J`55iT^(lQ%DM$pLam^=Z2sQ7sv-OSrB zkFtS$0rYh>xfo~ONIoZu2WX#xc~cH#6fHc25aW}RvjCaZJ_*?aWtauMk=f4rJb~MJ zc*5Ljz$x|v7R7AWt|_UK%Jxj(KKFtYcCNT<0Ahq6v>vG9{W_Esc#dT&>4+>`34TxUoI-S!Ie9yIwqSVQ-B9f`7x=EsjbbOdU?hg9ua+9 zTbv}zmS*b*Jf7cW_303_Jb1UP3Fr-6mg`yVq1dutx`fD>L-@y$T_S-mw4IcPIxqz+ z36ODn0ki#}O(?p#ec|KdJ4Z#O#@0#>w?jDw0p6t_D4Gn3RYQO)d@@4u&XK6TOM+tm zny*e)^l_B3|Bk{3Uly!-Cc~HpMIMe~JT&j@Q{$;m4PO2}Yd%t;A`8@+qNZlV_WJzn z$X|!@ZeU8G9^c2W!uF&hQjiz+#$R~!5a3xV$#vaTlG-d$;>2_vItC3K;Mm z4NV552Jp9_Nk72o`>W%CdNxKB6&2Y_T;LMQi6BgwA;k~q8!XP~nv#)P!Kh{_hZbr5 zoMA({AsYvWEUO+;TG4L+$1QUwva$OOn+tcrp{?CR<&U!Wju@jzBdNy(WT%2ryR&D#yb zbp9TwG6IgVI@sSU10rV)a&7~^TsWy*xVv21T%hx}R%VSXPG_Ef4Sq$ajG)+XS*oD| zW_zfc;I^+9BQbCh(C(%J*SlFvdG6fP_IRloATzMjAcz4JQ}@*e!Yc_t`Bor7z~QNc zGAz0?SKtsvh{0gtndOQHZTz9yv2qOJi~ZG9jb%?1m*<~Ql;zv`$QQXSv4u1N)Wd-` zdY$Shaf|{@{h8(b{QOmD^maUl3r#+t9s??kEM%gtsrCc`IA8+MWCMik-dq|(l3PZ0 znG7DOXTXXcifKS0A_)wsy`}@7v!K1R=9qesz@bKh32~#-vMD>#FFiB2SV-(`;>_JnSgU#-D0H8xUo8FUk!NvW+sigkrL;hFLE?zI3qEp7D9>CRse>5XlX+ z1cnOZYfkZ&`X$QM#OjcEpflyb@d>|fJ7Y?jlx$G+ujs4?+|6|=B4YCYQuQOis6i$X z`JwImWAEyFL{{Dk|$&So#r@hv%wi&eABjo1vPOUrv7^^}lP;(Tg}K6d1RL zV#Ax|A~TN1-m5pCa;-#cAP5Sj7cMycSA8)%AhX#I+4r*X@H|lc!ot$0^YD>IvwNHy zFj3nOk;y>F{L(&6LI1zCq8GBe7bv>^k&g=;t zKlSKzDSo9BPi5D#u{X!?J0zY+&Cfo9#Y!}Xo`b$&AS?wab5)?rLx5hrCGfQEg7s_6 z?f+1May&FV?CY26ZmS+&NQ^Ha3GQ|QeP}6?)8j=_m z2Q)rvdV$Nb$Ua5l4zdAo;)oa+UvhFApjGD^_^24wT=V*bq~Z&Mo@+@Ac>NG)SQ$E? zx#c1x9`l z%0=Sps-4EO(5B&J<=zFq^sAEjni|UvYcgaeK!<>bB4kK~fYJ{)iuyVm8=F<>hty(R z`_{c}Vjc%NfS7^R&(Gk$U?3&ElWbUg=3|`bBieg#SC?8JQJzp1EQG_WAeRX|pKhn} zJV}nJw0dRaKyWXA5v+Q7Bawt+mZlU@^U7RSf@U6;a?LzPqaZme2}Ah~lAXA~65wwc zd_*q-q?uFu4IvyBX~#+IL7WN2(v*`j@`nN1n`JcaRNeW#C({YKL{Bt z>XNI2%COs-?NprV6m=b5?7&IR_;F;n6`FJ+N5%-T4F^4+$8~JMpwF=%vA18Y{?9Z~ zxishy7~cAxUQcMeZ#0s`a`WFGq(njGGPZpz{u>pM)bD^sS0M+<;L9$DE)45tI*k;M zcx1eN`_`-LsPZwePa#Ghk$gD3{!7V#B(k)*F#WIEU;{Dj%Z)>-s75HuM4x(-M}1x! z^H^-$=B5*J1R+`*$i{b41kVxQ5PKpL6j`8kyRY;l1b@troL78uU%+n(K)u4sWGnfj z*W%ri);H~-nt^BU8PKbI4sZWEVMmZG(jw$H7ltEuMG@z{v zwF`7#L;WNu%4>gm-4aQq=04Dm2xFCIda@2pB;7fBBi<5TzY)U~>xa_Fb*o{{;%XtI zjrAu(Gm{*HkHNwwr&-}*k6|ZHj{(!-Y`2=83cyXc0G~&`)o95mv1M7B6OS)6HV zIl3;pOSR!7WZjIYIIx?7n-8B@aQ4Kx3HF1{D`8!N->AmLz?;&*Nt)UNu8ai4W{~+< z(eUca3PcSJ;prP0_-sg7SXpP09iaL)KY#wD zCS5Ov;)6sd3v@FBn$NQchWG*~^vTIpaCxA+> zj!iv_L)iZSl}giSjen8jqHfLW@O|D1)_7Zq=cC^b>$7YqXWFY11m|Yk;$8|lE^un# z^U`Sxm=Dl=)Pez_ZDLn+b`^$^GDzLhiWD=sI4CQI4+KU&{eE zL4XCBNzPEWGPiyRbHY~zfDqlqR(j=)1TPQ`=f!RSBsA=Ak+$~)`7hQ4HJi#PZ`9zJ z!1pQDnZ3lIa|l05&d8be^!v@uzc1KjT^_1=AXY83(Vo6h7Sny|@N*JNYRYAwJU1e;wfe7FIXTrAfr&0=c?%QF#m&9&@71#m2F2v&BPv(*E11W; z;!;zuAY&?8RIbDI_yI)~gc{9WcIAY=F+I&J&Ua5LOjQaLl1=!|Gmv7obwv_YCNbG!Xc%QxOyM9Da;Av%LJq=0nV9*IA`6FX7&`S-LH2mZ4tWC z(C9WGz4G-knU5suc!9S!NTgHIw^+SYX+8xV<54pDr|7v3i^-8DAZnpqk_lK(*O}MP z(TTQ_x#6avg#O){C~Parn1A^4X%5uwU9$|LR1w5ZjO?%9fP`c**B*><>x#MUNU#!$X@sXiGHU%mi%dOir?<88MTjAJHQE@iOHDlJ_k%~Pr0MjCny({ zMeV(>tYf)EzWm(+{WTp9`Y&w?id~e6UzLEYdLPIn1t|Mv=bOLizAw9cKK1iJ7nt(+ z9Tx^qh>3Z1Sb{YV?j}RBA-DA72ZPKT2Ipvza0rT zdodrL%{R+VA})Jty)0WleakuWp0j^dz3E<}^m0(G@8RD{TpI7Wb7R>( zYrm$I;Oi3Vd?;Q(=3fKn!9D!Z>n%!mFy4-LOUOVehXw|Dy_R`SDC+~mg~vALVjKTH zkyl)@#aO!??m#SZ55n^)x|O8q)<2&;=oe#KJ4l=irgM-6wZZhR-h%Uxz z)HCtlJ;f++AO5KkSkJ+#sjzn?#|5jhTQ)f{9jzR@{ZQA?z~CutFhSKV z1%^40UJxyb)xa@Rx3OrDy4i!!J9%A=@D$X;oLW>gM+)iUIJb}8)^w%n zs^hS;wCnoZaktarlp8=SpJuzCK|5JWz<|9&$u0Wo>TqzqTk8iU5I$2p`ppY$dy(()Ez}T z%ddB116*V5JUp#`O}&1jvVMUW*nKKpr`vct55?z-V_&YTVUvD3+v~cIP;XAgc%FkL^F;IRFIyYH9>#2)rI6Uih=o6uX#3z1xx1wCl zAaYHp*IJ9VtFPCh$jME_OG$~|AZzotb5@Ms=;UqjV-1IQUq{&*tSkII<0ReD5$cwG z(iPG3kPv^_*%IzyxI18={mo1s>{qqEZ@n}oyymN6Jhvy*XGg2#igruC%wFBI0qdEwWL z*>BuXOMAxn=>x@=tOq)0P6pG?K9rXa@ciU}VNC%-3y;;;VS1U_ZXnHXL9@Z96LSQB_jBugtz(eJ;}(;vJp?{-@z$c zSbFh-9rF3&4H9V-Rgc6BGP9LUsb+3Y%G^8plgay3BVt;Vt32N1&>SO1%AMB*WH@Al zTO`#NnNeqTf{J6Gsg&x?3sDPLycLCHcd{JaC+EN6P%kpA@5KoTacS9PF4w$6j_Io} zHnr|vxJS|U@=fhnyV(8`IiP5EV0i!@wwF8`lgZ>T(+Gv*m5`W-MJ9CVKt@z+->DE` z*d@WuEH+Li->h`SE!&>DQsXa+37C|crpThO)mQC67HF7vXzVkq>!T;E!t6KU>BVkh zbGj!5vt(?Wg`X-;71qpSe`0E(^4@=>WN(JnGPU;e!~`1pTMzsGSf2he@^ zK@bOxmj}@0KFXaIGjlHAMqG5~=3Ys3+eL!?EXV^)IRFzRRKXw&f;BvZto>PwB8a*g)|dpoT5Ukz zE3a1#Vmz$LD-t|6^HO8>Aiil_D_;F^lDcGLj}kC=7OsKv`LbSCi-)i)h(oZ1xZ4LfnTu;i2Eeu`h>^pf>u8p z;W<=cW$8C2xf?ITPnh9H zz!lTnjfrcWu$hiI*i8Yq(PE_Ays^*Q#ZzqRLaFq@^fAH)bF1$JnXVb#_hpR11jIBh z5L)+DYz${0J1ThHlCWuTjsASYLthXaM0Svs@Hs4db@tc|@K~j*RD1+S=)ipT?kE9< z^0KI?4*ndK?(@ACB2MlmHP#@Vq6tA0c4oCawz0DFcWm(`-F$C$!g?iOxD)7!0oe7J0xgA1~$K1^LIT z=L9BI#D~ZwckQvL$C9PqJh5HuD7AMS09)-=(Tyn6-fS)a!jqHN-^t!!8IzU_Sakoh zi!8S=*mC#gG5OO3qHj)tg)mTTzXaLrEr!2npv)KT{Fg?@ZK($DRuv4HBx`A`_E11e zSIMvgT9BQcT?RSxo4X;q$SnOZW#)Hw4L@;G(%ARr1!cfg@;Mdj5pc9GIJ__LGHiHgVb)aR>(NQV*im55 zhrlN;BPZ7lI`=GHShQjNoRQ4?5bJOJBb>|2_rNKSB<;;JWT}troM%iv)iQ0j{WDZ%`-$sR){ng0)W48q>ZVT(S#FD8neNL=&~@IT ztf|?OC|goG;!wf%FY6h%lF($7EgHf?9%)KP4~z%G#xE3>@R54+b{q*8?6ymc$LTZ+ zJE_`y$eApGe_z8#MP;H^+WT=`UOltE(vjVTTx_i)8I7Pfau9?5rUVH)1q!M(;@vKg z*w6Jngwm}XXYzEvr_DqvrnosvqEi8w`rQgB-z}iyWWizA#gA{cGf#Z#-+C+O{gz)6 zXg8PDcIohs)TsuCcNGM?f!ypS!=Fj!8%g(z=iE!lnn%tvq7hvwEMPv)0Y&sUK|WD0*O2WGXpAMnhlv0SZ$cO68>CsY!mx26n#D6 zOj=|)6k!;Kp#$>Jeqr#}Ms>8(&G&33Ig6HI+&c0_oS0gqx`+qa+@#;G72A)idqa{X zOr89onAl2f8v(Rg5>=dL8#F(zJ&@TX@#X#jn+vK7Xr$a>c*Kz!v$F^VUR z4V?vG&;w@hA&*)He4^vQo36i--)?Yh|CN+)-mWg5T4rz@{MKPAPH|-+z;c|n1Giqu zoA3T-9}H?^vNtY>J0%fxpVF6j-geFUw>WqNotHJeFYnQ2z1{uo%)r!iV|6a49liyW zqX-&QTEJuOKqSm zf6OFuIidPdNlg6WRqyN$%VU}z+%b#BT$!ko;uEOpq#zs}9bE-OJdB2^deYmNEJr-m zVtsdwYr0#YeS0iO7P=-B_aJZ^>)pl#v~=JcpB%;Ep0FuhMa~}>{PM)Kb+Zqhn(n>71B}!+uZ#l{7T0 zgGmN!446A`Xv65-|!7^4V5LpRdcM-?B z9o|cm7XcAUZ!-AgEdP#W(Z>Yk>+ruW?mEHPX|UhvE8e{DX6vQ>IxaeP>KROCroOSk z&>uVO0H%=h7zjgy`Zn2&__cv=4SF6HI%TpvS$?4`lHlrG_QYW>+@##Fm(i5w_GBBn9;lBn>|GEhql}&q$awf>g8KCg;eer(F#rm)O8~&}BTkXc;h#oYp z1SIElEuekRg(=Q=Ok%o_#`-_Zb`@0J&1lOkS)q!kENa;p7edoT=*Oo|uQxN2|K5a0 z0>HPukaIop#hBY~`T9O%Gz|koGMRTsk^9*F z>#L=!qT#bS1tRYQG!~Q8dn^`TQ z1006R%mRcYUyxlN>;u7^^-KPe>={0C0ppv^ROFWB^Vgxs9L>Im0ow|gAK1dQZG2lq zH?*BOC3&*_RI?|4w7#Exud7YN6=*p1Wu>JPO|C4xCL~Ek+#cjozIE!3>;xwLO#c6H zx&7j>XzmfhAk?nK%J80&gvkLf7?e#Zq)*X3;F@{Wy0l$(WxmCpotgPI9B;A4Gy)ZI z@U_|hG7Q7v>8pei#U5OC7Pm29lX?k|E2LNS(SID@eQoV1M(6RYOApQ z5k%Zva<+}2UO+uog^>*w)e{$jkk1yVqQ*M@#7`_6l#UjQ1I0PWmMUqF`EThI!K5bu zyN2tCoV_$58j#fcC3*GkL;oE(jopCW8aPjjdx2{B6fD$`A$w1Ajq7feS6oXxl1p_+ z_06E!N643-4NF&R0+x;K51#mF4HSF=_iZN_2${T25D;sEFC5hG{?i2RF$PYgXvU~H z@D~fp~oNGT`pnPFwPgONeQf!WtW2J;?-J30=EiO3t9CSukyeJ7tut2~9&l5H{ zwYK*#N4MfD6>%)_VcdKKX97GY3$C%_d!tCU(+K>Z2^)rkL>r7mEArY{lJMvYdwCu5 zb~S5o)*v?t+cuC5m)mFqXJ7X3`$-~o8ZYqz&I~&Wo``s;DwqBpA-Hl_e<-Qw=rUjy zIK)*Ou6mA+j?T*u(>DQC6iq^Mrc8_&N$o5ke>My!=uVB2K8a0=i%0C zOzu1I*a5b7--x6qo0196q?QGa0uABMvypinZeh0sxQN)tsWEZ0;GgWas@l8UXi{(L za!1_po~rCfD~v?~)s=f1t+eR{$p2u}=eG5PGe!v(nvxe7;x6!X@IM>9gTvcLOfWg> zHkm%H_ggQD7lVmTKDkbBc7j9gk#XuIT2d!F4-f_?ElTqF$so_|%gQCP*L@xex*`)%xr@)r~*Nl15NT$8k<1JX+etoCvV1*8s zMK+W;RuNNkcyP}GzTW=lQi0&Bd)9C7@%g!shJ`yyFS>u?f3*d}oD2xpncx~xv&_RB za-Pa(A3ru+GZS6Eg^8<~U7LX!si;fQt0}}LEG+C5f=T5BaXT#~y5o!U$}ZQWYQw|JuQ>uG^IL8W;?W;Yp-yS@1wk-k zwPGV~s*)HF>BpLW1U=^#nC7d8`jzDW7)Zae>*PmS|0&qbDOEYVI{tT^6H`DJ5@ZsK z8-5fp3mx{@vA{_cOJeXmW@5C>Xhnf(x|0m^`g9WRhrA75gu$r8i6J$3N(ws91 zU*KEG0;fm_fMH%9^2J-kOl48)o!kbZd!7xG`r>dSAHqx+2-{)UHC#*B81*#);Ztdj zHkH_E^i7k9=T}aD#VsFOrKak9LJWk<-=mD%s}G=0fvd9npkd>~Fk)7cYE6pb`VF zX|TXx(;mn~KdBBpuxFyPOncC-z6v9v%fdt?irit1BYu{<9&e9dX7`uoyS|e>06q6t zJ*L$7!{^`y+G@Qxdc(?T^z02%5M$ukQP7~wp}_3rXWcB&dk^ZnaH1%L$x;UMr2z$a z;R%WZ6U|0x5 zP8%O(>e!Quq4b`cPks=Qi+tU*{m=cJDgk0e4iM_>K>Hlrb!K&s-ha1z?yQk1pvwp` zPmd$2B(WEVfT}~U1bIs@8DL13mS6QiHjI8``{ECfk23)=72tVDlzE6(&jy7#E;9j! zOEm`*Cscz7tck+dSY&Ah=R@uhLF~xeg~E8EZ)`w4pgAEJUt`t}WUhVUqpZP^J0AiD z3%(PlU>CJ-4B08M=#ZpVl1xopl~Y0-6m-+EA3svVknY3(+EX-sX^~Ba@v26Hl0bpg z_(bme4$Dg|j=RB^=-fe;=7^QRgv3E;xxi{bJ-eh|#aydKmKHw{;(%*mkq7LJUTy+J z0Ss^Ezu+PC^3n~cWpup{LDl)g_bkk_E{qI+w$M7D7K0%W7|>6>G3+FX&zTS&be@^C z6HfB?E32)v}K)NC@2JPN{ z7|fMvLXZ0Ao?v=^1{?Ed$aVupxgIcaa{9cS!YF@M`Z!YL;)I4`!>V?rgdOIaSVWu-BaA<;nwdtySd?cM$EP6Kr%075y=4-`aNt=T}7I#;=r|_jxipSpkBtPUZ zV1XtgvABR32EOY|W42z?T4RHKhaS*Yk(E<_=t-^;Zu2_9cm@n+qIZP=eHa`Pk_12t znc-oitf*WBgINXExSn55z;`9}_FD~;UR=PEPBp)rJ1k3x0|SO~5ymvTVW5s1hvbQY zK%1ZmI$O&*esF^(qXAD)@}F}7FxyiH!ZX@shRwNR*h|N@Hh`fFR5lf;zpxBxV8BCe z$lV>T#tvle4h~L)NjdZyE71JN)ZH;&zn9@gaQOb->|I}3|D1%Q^V4Z6Kkh6Lsk5JCWM*T6J#WLy)F1#+H%#c35_A95JDz+}Hl z!d=n>Ug$TwAn_!?+lU@EhViJukSZFsZfZKAIduj@!3Wwhc#)ZLrg|yML@wp=Ug$Lu z&LYt=Rg7MK`qbVF6&t!}*mPOuXO6U;Jx|cvkjfZ%Erbyq-sWU>f~z=fK{VQWjL8jA zTpci#kTx|nb!O)nIivRDUIZRNKZu8vzg>*RA3b4G0=az1MOTBM+F!;YOdb*x6pMIp z(0Ma+H5Kgh?wnDu2jKJ&pqigexak?St%?eH{|)vALw4}W!&Iv>xPaOBA~5U$(C7jg zl!j~>Hs-cGN)-aZ;fk)(DaKAD2-PaDDG4Of- zs1+%V+~xOS08kN4< z@ajQAb51k*fp3{a1nUj*-KndBc)Vj?z3ZTg+kpPMAJl?gdEG z1x;E~fpR0@YesLJK^}CZkjvc|N)%owkvtsWVdLVG!w19b5k}GY^}f4jD2TKWP9Y_6 zF8b#kV`r{J%T*+oFJJcADbSSaeRA3Hf*pFZ0#E^bWYm27SFy4)z=5`itlTe`B}x~C zsRdp+CF7`P-soLlkm6?0TPO4mw$&=&9Stl2JGNi*IWwBt1Rj4UhBkM{3P3@Ksu<=% zuAih$7Ut;cC=U_n4s^L@gphztyA{F7#)1o2tGxNO#P-5XinhRNIB5J}&i&-EJ&i0q z;BCo-enNTE9=*fNRL~#t8mg7}M0j@wj=fv6(zrERF>9sSeFI?$u@o)gXAY6w<+U6+)mtR&Bn(C<2-*2EU+PEra9K=K)J4 zn8Ss!8ziZyO%*|DNFMRn$@=jbFazRy@QJ{kLme>v_TtF?9(sow46uV8(xuC`Y{(K` z7Zy@NfJyfT8yZeg_3`iFmTM>7dWCFWpT@*Z)){soPu2Li0bK@x!ds0C4NIG2fo7vW ze9@%p?f^34A?g}YxM(m{rLPFm6u13+zY4rst`{;%HneKGA6OssjMsl)*(&=CGeVm1 zBQ=OK#IqwZ2}Xb^HGx9r?*gI-AN-!Fq?Cp4#M?8yM=2s;5f`gsf`Y!%3y25B9;u*5 zquoHk$yhLf_66dba$K*_Y-YhK=tWO~!AGMmjP9!s(OHAn5&b*V6--vA+R6G;E?B-ihhzs=o zC*)uTOJ2guE$^ATj61wXbVrJ?ywg`GMoA{btuMxgjiJf~rzH+-j2hrUhjO7=W|xLW zBj7DxEep%gqNoGEp`0Sm0MknkX0K_RDmB^;23Cyvadg4kV9-^zVP}BejY}3i(Uie>2VGd7nn;1;|MN-mXN_96lP#%q6a2NF4f;C*ak}<;%_1|h%m~=F!cnf zq6>P^LQ~Ja<40DZfNg8Fkya~wdb1p6s%3xS{{Pk7o5y3hwr#_gMioUXDKt~Y1|>s< zCXy(HQXwluGH1@XG#60_m3fXNGoe(bL}kc4L>V#*8S-ws)^mT)AMf*h-#_o~_xi27 zdo5iq=XIXPu^;=s?c28P-gFz^#m!Q?p*PorkC{;*Co8iUarQZx8fKM%*|#RvH8uhj zJ9)}DHF8D@DVJ3a(v9tLH(Dy!M9pU z9Ej>)Vh+m+kiLy0Qv2|<3BF_HU}Bh^0?34Y!ly8PB`fPw!i&U?dZa;rx3e)Af(w{l z@{p(n1TvM24mi(J^h>$81!pmW!&@a)a++2p?4QfgwA4B}uY5EspHBfXDIQr#BBw|P z$tL{rp>{@5hu>J6qPUrJ{}}c&`oIym1)Dwf3|^()GCdfSTMF!tJSZ+AmA@La#^oi1 zBs0&2&L%oa0L}b1#t~8hWunc`&d&w!iWv-vOK)zldxzWA)faDmnqHOoW8eOvRJlXm z37K873wLdCY2Ld?ifuQgia7poXzc`QeFzw(Du@|AI1P~clE;9x-+YD(ZzmWmCqcHg z*uA(kE>C?p<4i;GPcG_bK_#QD^L;LZ5y4(w@(~@2DFAZ>n}FXHL9i!v8(|L>17r*w zZicLPo0$YD9u#tpX|l(6)Le!4gf<#~77}A$7^(-+{c@ZCPqgQL;J&~6rhk|9isG|G zuHIu$UVwm{K3zD|kU5;3eL|`!3Rf{8K}Q$*=O>T(Fx*%*>s^~)oovw?L(TXTkjsNF zsZc?Z=>>}3RD^TW6Hr(1JVuWhMc)>MfGn}r2l|)G__yvzGx+ff0u_Tj2r3NQG?9Gj z_Cgz5K0SmjMbR4Ka1x^gY}Ii?8&LO*Bi^YLH{cm4sX}E&9bZe?QR#S!%kwvN2WCtG zu8qqB49N{$ItZIu*T5<#Jo9%DA}txk9HEm8Er=-835H-JjBqeB@>I~JplF- zI_=ZY(QJ-Adz#8$_vAePE?#doyFuGk(4$&{o}Atn^s&*MnUa}Nt$}7e{T=to0Png} zbsi({IaxeVXj`bXKgd{eKz;aV+JWfu9TmhTv8vKQS%_Q9HOqb_sHPDJAPU~lhe9A+ zfi~*&Z#TDDnX{P~Zg39G{1#xutFXu>-N$a$`H$Ndu{f$!*h}Lfp00Aa=u(zEvzSA0 z?o&jkwM2n5(l8c>*6%575EW#>J%pQ{?|_d2{52x4JTu?d9a`4#O+Cjj8cJp<$k&9P z?_<1j+tP}qDZ3?~n6OCRV_|?pc0pnQ3gHVjF$z<@z|3a1MVFr9{gTj1$enD5APacD zV88G5Lv*L?R34Hs>92A$JY1eHwqFTB9p%s@0YW0C2Cd=EDOj?IY?A{vdCsyo<2&`x z;V5!CXVclzi?$wilcNr=eR|B{2j%5o$HYiv66q*lLpBRhso%oy-b8?@Owg>Gwge^) z1^J3X#9E1s0DQq$JnWrQ&#u)w@V0=3N8+AUnd?ROZP@P34QX!uw^1!_-|MGibY@#_W$eY`{C5z*wtu|ybI`hOGLQ>~_49H#cZ}+xB(>$1@jjojFVF-Dds!4mMR97ZkjAUhv%`erX`5^*j?p zwwb+Li21w?o8Xu)PqY&iz#sw1x)OJw;Nj9_789mCz#ebL>4xoEIc z7k2tP5n@czcHN6WT&?%mbY;!a8*nx7x&Cj$N#!LhTPEv3L60E~5{~;9&$coc%Ch(? z!kQV!?24a!;P4KoCNu1-P9m>IX}GlX@vf8D9skT25zf$?XWSB^*E4q%v}AmL@|l!O z#6qnFk&-MMVG!~~6T;#G5pnUf`tyT>gR_poDVcu}(-gmc*%Qr+b-)l|VY!~jG1qj) zJXh|vH48@kYIa|BR95E6c{oC}uM1xD7B4HQ7l(F1$zSxKw`q^%vuf_(SgZy+&{_FM zAHs=ee(+LU`0`ofDi0$KZSY%EsUq@mc#pQs>_5NtMS74s0JU082sjH$lb(KE*a6)! zgzj{289b~wXNY7))comRNhO<4pjbmfGn>SSJJqq*2WnD{17QNm@26rtW?lRV;%RaK zW#I2-YUl#UzGD%B6^Oq&jF@HATc6R@l$%Q>3mxLYSCHTM5v#CxcciWMz;k#_^y75+ zf)0jEFxlOZmJ5pEIFenWI7-U^1nLnFVF7%zym+mYgaH#K{B)d<{ylac>ZEz$JMpQP z;>r=}D$vs5RUilv4-Aypp>6-{VyyilqLqD$SieeXF*{R=P4=3eDGB3hi6nnbK;`oj z_u(DxU~wQr>Wqy`I36VJnCv|5L>&?DVN~_qKptkUqgX#6(s{Md6V}0Ysdrg9B`s*< z;AR!w+KBZ`*bAxRNRCOT5`?w<8#l^%KkJ?lNvr?c(u%=&&_i~-SndE5D&qLBtWgBq zb5KGA5SB6+o`y(I7!3KpR}EXZU%lE1dAmT0Bho|HE%O*IUuVoa5pcZ26_1vvW!HUb zJp1*b=S`b4nc)fvjg4#(=uR92EA`>E|?o=2S1PaYX@&dDni<4sm-r-IHb{EyZzR5jgqLm+)BVgwpPUJE;oIEY(Vq)Zd zWG_Fu4_82*o~X%gAfg$Am_=3 zHoQR*LP`rfJ}Erlvf>bl_P`JknkO=)fF>rCOch~!{5V!;$>=1hhEXsxZ^B>-9?v4_*y4oiT zciGg{uGVaLU#<2VxJ2dTuOXoy^$fS!FVFuu{(y`l?g}X!zrRsw84S6Q61@6`xWYeU z8Ujfdm@Vb}M;*Dz|SuV{pT3fLr|}e_V6!Z94jT+IT?$Qfo!N;h{>hLBJzAY-6UB$->KIW z7m6qMo=c@*LnP6|3JNjVw`bv}%H6cC(IY{>5I(S3)}W^ z5iEe=AxsWLd~$YH+6BS~=k_=3F6L{f-lpjJn~hN32Dpk5ygK%Yi&^K+UgV%6q)WJw zoxOXe<(O^v;$nu>P7i}6pK7BhJ-^-9-X(D2o= zZJ8^gk#s<3v7${%nfgB~!0CEEZ(C&V#UK$s9YYZD$ui(q@Dlg6e{xHr9R;FZbgsM? zc=|%zK_$;pj#X8mk@DgxMZUa9WF3eWe<=Y6b@>eO>c$i@di!>tlc36rm8yJq-xnw( z*z?GJpJwF_P-SqebR*tB&sfjc<#%B7gpK{k=!$ON zE(V^3!Y9O-%B?#u`))B>(OrrE;8Va7P*Yd;E#+Y1Uji}vpPcC4FO*49&>)N57>PY; z(eJTqi{i7kD|`nXe9)65{2z)2hHT-?M?OGjkp_vIP;;D>+?S|RqI1aa@i(J`&ZCcQ zU^`%9c@XPl9zFEEx}Z)MmzJEkFX1Uw$(qAg>2WeD^XlQdL;T`fjsk;&_?%IYCu;QX z?L0t^K?@OvJt4K*` z?`DG0(!8pJ^BK)RlW^yjk~1E!0N=YXTbm9W$@rGk2RuE2uD=0;CuMLk^g?d$qKZLQ zY`^%3&=Xr>$sx<_a!;}~RS+FLy@t39rIdL#7val8S8DEE5}V0}tzK`%oAFFCMzhSgt; zX;aQ`W5g~1lGRCiCB?h7{~Oa<8DNrk`2M+S-+MB~G7iYe)t*I~_Nq+JhDqWF+;oGS zz(W_&&dILGL9F;gitYi_2>P$0|My3z2gzjb`PEqrLDcCYyb8G&R3E2(XFXUJ0iiAQ zDGb^EI4SLq*V7RtJ4xqDWab+;ZisqLSaR}~Bze?`bpChl^1`^4jAPGH5^hicQlVhHUPPS@!oj;IL1{ zI}oNC=kAJ_`!G(Pftyg^sQ?`(6^ru`&`OqzoDN6oUVBQC5xjmzsu131bG`0tQOra_ zhvYJuO$;#X)GpjRbK^GrIc$uDm&4(QR8VREduR_JMcfa5+=K-LIs+i?p4ijERkL26 zeO>LnC*Qq%`v&F?Z`dRO;6ZOg@b!EDqZdd@)((d3TmaN}K|m#wo%k<*C0KTIs(#5Z zLO`z*+5bzc6Kr)pg`6k|W`*Fnt$J||KGY;O*$9Ic*iLUscvxE)EIFXF_6clZ) zD$8mgS2Y@tuxGsT+}w*o_A!xDq1u&E_!Ka_^$*+jWya!or6ogU2axP2AL-An!<8%1 zm7~t~-WSF()g1~$&>w|uW(>xo85Y#ur$>XNy~Be>uGXAY_;t(Z2jJ;aABF_`%;`IG z5?cQ$URPTPW^J`CxT(*{Rcl))pg>rGal*X3o99?&5G<1UxVz60yY%IlFH5|FO^v3q ze^q#vZqYIH;ME{_#Vuv5m0nP=uw{k*-`D@fhz zJLX#b?Qf6uO+pdhC!~)un7P4GRO+-4srM%F8JF zv0v#MMCm*yf9o=|log79&S{$8*%|;F3mo-~Jb{@LX%@&{d)0(Q6m2vnR~&GWIPxUrqrP$MBr=1`~zju7;NDd&ys{?zwh=UlFEUV~%$S6^upQg2a8`#+dFjdB=Br5WgRaiM z=ijW!7wPj`M2+SOznJH~<3Ed!nfaSl`OpHQL;jJ_1w#|-9X@6EYP9O*v*^fHE++To z^y&>`jqSiQ1hAs<$ck8J?&&R~Ic%rtk$N^e0J>yE@bd8~cw5guFI#4QSnBKsROXVe zMkyyp5~|?EyQ_+FP=B)5Mqp1<$is&QfWe?lWIW>i z&pom@_-jT zobh}buJkbLDO@;t=GTbu^_*IEt73{yJ@pAqbi|K3GN^|r} z(P%wg>;JXlhmwzsPW=xhcKnAb@DnmYP#gcrm^1G`8|A>;ckjA9cJ_efR)3~0Kb1nx56qS^`KzYFtjiZ(9xw3sjs;lHmp1LcGM)FPB z7$@T!I1x#1M`VE15SvwhQn35??|;qBg=H7F5YsVsn1^fHG(@1&ZCq&9Ib__sF!!CC zu?hZzGA`nEH|V$uUaQ{m=Z7s|uZm_={`3&IyQb&GAhH38hZ-~rpWZiZNZFLu+SoYS zCNcb>&&xZUESr(0a9EqnKryTS*s=hi_v?5!g7U-=EykVdbAv-!R_{IqCWmT{VMmIX zO6-l*agls4Q+FPQ{DeFWFdHPw={RFA1UWM|SM4m^3m{wEL+BVpf=^7(G<-|qQ6`re zvY@6OKOBClza3_Jv=C4yozBR;j6UTLSAOU}A^rX2uGc9W_Z(qoXa6JK>wnG^eQRdb zHX6DL!Z3|gJUDJs$Vm{M3niBe1p0;-sot|susE~CD@txZDhuig5nY7LVUf;fDb6?Z zCODJ2+uq?Tx!3!6IS;PM+&;)U^(@+Gf>pde7>iu>&|SpXOL&C01R$6~F1Q1Ol=h5# zIgfSg_dfAZyLfM8y|rKQnXH?-E0RJl3gp^px2I+vYJ50{+}O}`$wdEb7*2(7@y+jz zn$^t90&6Ugfz&(-Lej(!JQ=nF>J!7`xgX?$8N#+J=)gN+N@VTF2)?1Stt0%jB*cw? zgM7TaLekSEvPxbFKrc>eGB|_90i^DPJ;-NxjIZ-7*r1T~s73H;lk(M@@q8Cf)oe-< zmRw?TVl1`YqAhYld=npE3;=XAhpwVU8$zuJLBZIhpye(nNY&hM`LhziDVN`?2G%}V zIx&>}iB-Gm0q@JI?V9W#ygjuunj$ti-||62gdjrv`25(*45l5Jg+YS|s3xumSNJQd z#Fe#h-YX!rrTyz!G$Rc!qNW4C`Y~NE+8IjRJ1-q`a&n3}FLKg-VfRioo#PHg9Ojdp z&yQq`Oob$B=K3;sy=BR#BUy3I2pTHIJqcraj~R~w(5qCYHRK(d9boohoup^ScAKXz zy7%~0ZHUx?|>|WnDQ_lu?KtgXXCp=R`J@$VudDx+U>$e#mC>pQ-AG_ z;#|hsJk)?L0CLdhGeEgcZgF&Zpk`kLM?p|nSlBVU<=#p)MST^v(RUSI92zG?FHJ`7 z5wDx5~X9Bh4)fe|Y?GqzOIf=Fmu?rAv+;Iid=%idG9$iLvNuk#)`M z*B;xXSLZ2^T>@S<<3syGggrA|p>dn%^d%#A(SEy3_6~E?4)x{pKY0J3FXbUeXRPqbkDv#z4QTMRhC!@@y9@CYfD>N1I5|;@MqI5&A z%L$?@QS2b+`fnyyan51cqGvu1?MBDZaY&&azLr*S_Hj08pN%*ss>!*5X7==z-0hvx0hJ@{<3^#>FNw`|JGFdsiuw9iM*tii(-|Ar zB*CRqW&M>kcFs^?7hK6+xm-XfNnM5cnZ~kWBUR<@%W9UooWEMld%Si1MF$tJGBGcc zT#MUsCwo85?xN9oP&cPkbRt_;bRXF;{q#&)!lMrt$J?1>Ujjkz&YgBtGSsLU*VBG@ zx=K*8?`_${>*QV4F`#v#QP2e16$6@pN;h!u!8g<~(ci*9j$E%k~m$i}$g&&Fb{pFdBTPo<(wS$*+A^oFeFp3)zj^Z}?Aj=>>naO*pXIQ|gvPrIJgbk@hAk1Z#_^|jIKGuwi|)?O z^}%7q{Bc6#I9DI|`fl_ruzX(-sH1X_Y4Yga`c<1U>RnfE@HlUoPBARByKv&WW2C&C zmcEKvnefWyq3u&8HO5UjQ_)cgU}@yWO?tKL!E69X7JPnJxD;2#o!s&gx!1U%>BEH{ zwoL5~5kaHl_LIZC4Rw)S@ZdZkD^JcOwZJnGi=wcu04G>c9LR1w{=BqIlqaeFxjbvL z`hiPt%N}~j$Gxq#U!}l7Xj$SwE&d53pe}jgB2DDJjO$ zh0zkEB?mTu!9&Rw(=F>HghsCmH0^-tfg@3=-z~)RxH)HU8LZTi$gFu&jq5-%$}f{U zd_Z2l=a$xR6vt}gKCafpqaXdY`|eVY^gi7CLb&L@wrKkI3&mbGg-upDwsz^56H#m< zl}~9Q=w_WudH{AwHMFr;;FQ5O5W@+EO1`)0_x_Jlc<`b{V1(@45WFG!Py8GEXAJ$G zVbD6^C>uBY{KHoNk5=t>6E?eFCe zZTorH=JDvVLNCqaNQWvd$)wRDm3t91n*;|D(N}nzj?@rBLbvACOCY8e8DnC%n?C{* zqd9cB5o>-sXC!pce1aZ9c;qkJ2FJ-Cn`gON!VMmbG9(ro4Bl0m08%Fp!1;q=@#{=h zD*Jy-adh1s>9OUG{F}etLG~LI6CHG6wUxH=bs^o1^Rv&Y+z@*2v)$+!Pfbo<@B3Pz z{QD=nw!&Tj$1P2C-+V<;m|(GADqhtOiQl~R$bz^Tcp>v#(SuI zbH<42gY8D1(}}PtMT&ixNRF^V8peQ-SVF>n9m1CJgE$ip>4!X$oFD!u%<3O;-Kz!TvnN_)zFyHxf2O&$l}VdGsr$)7JpqxCQe669V!XrJ)O zWV(*afJTQ?XjhlicXHYRY_{cC`x@`$u!^sxiG}&E_UxAP-6f}Pd*_Hv^3(nmv#zM= z`-?8LxUw#Lt)fS$jN^-x3&s3}56tg$N??s+-+FT8!D4zDcgYGTcMnvmtE$m+CHbuT z9e6AQ5b2L@a98>ay26ArbRNUQf8V_FRD0q^pwUyrpATmCmqTM zmyNmE>`lEhd1U3U8jEGRzh-Bs+}p6f;K`Eh@N9s(lkc_7z!WHnzQ^|acwz1kp8BM7nfQm}2_&vYc?(?0#4^}S*_>n9f`FtE&!86)>1fjZ98B@T* zsEY}n714k(;8kD$BIs1Vt41hOK^Kh( z69>)(44%bzujF6jt&Bh8wO2-{G2hAbfv`Sc6@yEuvX6#k1V z3}`V1T45UhL-TcL=+EUBd#+)q7frxKER^W_jaDcPRD55D^GYv3Yvr%&;gkC>bdSs*hQjm<`4IEV!6gGXRb*fYL^}e#rXbd%;c|K!zT{be0XKy*F|{NI z16HOKB&`X-LD(w2lM7InV33S}Whk#_K^W}NR&Rd;Emcu}TTy4x{iIP0X7Sx{ca{xbz44;|i0E?b8&k`T!E-zhab_w}1Di)ECgPJ^VZuiL_RQsBHw0RDajfv<{ zCWgyPbOoN;7CpyxgNcIt1`s+KpE%#aoyVhvFJw~KykSHP=y@ibr7uTMZgu|zrZ`xf zG@fjYRj!@}_UN#Ue-r#4aI74@93cZ!X_gnqbh1vCq}V)O_}A%}M5kQ>!lHR)@8o<1 zs&kq+QonAJ9Naz?h{0Hj?tL;%`Vz#F2W~1OmTDMe3h3RyrR7nZCynwZSm0x`dQZIK_Wjn`t|Eq z(5Q9A?_)MCAhA z_CCqih=hVO=)~9u?PaMBcX0{PxRSQmeR~^3+jl2wwA492*w7cutGyx}0Q+S$5rx)= zF5Gi+t^2YvqrvYJu*TNHF1`%^Ya_H2Fv8OOW`rq*Ny5$kljo0%FaPur-qxFlzZjag z5*9%?PNHcu<8sBof|0l58XHv}VZIy`6< zs0BLmlPiM?yAHn-*vhgWMPve*wSqR%4KYUr0(;xxCgGFg`Wgw$c3qD)9(^1s8g_C1 z^pC!)k`_I6{M9+E7OS7DYNF$e*G3Yp9UEcia^~O_)cKu5*7X@EfN4CNBUo)@EAA=j zi5@k0(*SM$M^E(PZ(Zg|h-Wk#4{SUd*jo*C2hCDO;1d!yPI>)Fz2wf*nAe#~?eUKG zW~IMP?AwksbuDV2pH_0uRB{J0N+jxC7{aUy#up7IvJ7E(T-GfUwAVmO9DTgKZQw}z z@akf@%&~)b=k;6_!l0E=lRLp#!}|q`!|GXf|i}@1v2r zM|RJh^Sr;mKdce>>d1PS@0TPM?|HYCg@!s{{CLcy+c|E02#mENL=juJ0z}^sfD}X} zv(UTbCv-l`RO#pGyKV7~nb`vh-YOYiEAQ6-b1-DmbE#rD!thB5(obLv0vs>H4#zXe zzMVmyAEBtZhyGC|2JGzs`IsmN_=MFUPaqm@zS=XPsWai^hYG{A=W|<(W5D|kDUO|5 z4g7^(meXr2dL~}JNgo8#M&rS#y-^8Y*DC(```&xyD-#GxtrWI>pa&8nL;``+@W~=2 z8#efHkZdi&J+1h*J;o04NUhm*qJS}`aL~xvW(aN(O?F&(oOwa#TuVwc${P8gd50Tr>(( zrT&YIM@FgkerCyHpGzcXG0K;+m%HjGn7kXNndmeL8~@MiSHh=|qv zRH^V%@7lrQXz`f37}ZFv`11XA%e-^9l*sfv2Pa&C6gUTCY#-ZwI^E*lyS7019- zwv0OK`&s+T0uC76TU-BbvVf()sy+4^gFRyYjy3M zXDgCwxH-Qy_(bt|`DG(|w+ir0TI0cjG} zqAw{RXbh*EnqB^4wKT3kP5o03-X}(XHZ=+myIz|mq?fLV+j{Y}LrPp~{LVMkSzFQ+ zuO0F6^NY*QJ_{12!7&X;EIKdmycjMmD(ZdD-SU>RDQ@jwOskasMovKlB2`t@wnYth zA8(CUE`4LzvS~q$N3CUs(LUP-scq(86yS^>gIoY(t3JV*WqrQd#<#rlvYtljt?=HX z8o4LAMMmynWLwPOlD?F*!9~Lf(+#7l;1V@0IfC-csQkoLclWWmBY^VpMvq@DLV_l1 z3Bcn1spo%R#Xy!o7wZ%66!wiw%cWS=GpGHS+`cCeAG?=(uQ*GX&h`6ga&kR}OYjI< zp0m~!bWdr!$P_V8O}}>Rk;3rGw7R~t<(!XX8EJXcU+dmt(f#yQQaQw=_1DlF{ zL=$&j3i_(}&$>Lo38%MPn5+PLu7655QSqYWrPP4j3#Y>0U+euEBRMP`elF_uh^aR( zD*c;gAWoMr9AITr3MB~(%n~l`4E&*YU3W{d&%V=Tc8%&_s5XhXyP@L#;~^Wi3%#}srq%R7It1ME-If zb9O%xC>^tksg;=rapsalP!2<`P z0f-V4HZL>N=^@N1( ziDx>p3Ch3Fwdb%m2!zf*NSb5}lX9*oLYnJaq&f_|x)L_5I{t7&hUVUcd8G#n zLwdZ!5jFq%0L0Dg1Ae%b2Q$wA^xx-QspWa8VDbEn^*cC6KJE7oCz>r>^_A|$;kB|x z`(@>CgA)}(qI6_*AJH1qD?Vm*{mG!zeK$?6fCbgRX1BB6Er;t%Bnsfpkn5{4_sb-) zgx0dqE6EOn5lBf;IW$_YD*UF~C%*N@r4+w!FZ?(Pqj$%S%M9>HS{#5dVH5b0jNl@+@{dmu)eJDo zg|y9d_(O>&gb@a@3HN$Bq&qvLn^GJ5zXT+%Zphh~Ef4#Sk+tfc!CRG9CLFKvsGMVd zMkD7^!9u-lGCh^|qAwy%g3Csr^=0 z#j?OpT==klL+cG+ap9y9^JMf@i{72t)NwICO~vYc+LyBhldHKa3v?gq=OwILw+@7g zpH~O);mE2ksU|%Uye@{@^#`u%>ria_`}?Dac%W+8JC2p|ja#P-1|u*hiH(ibO&8L$ zIeEDK>ZYD8Yu{9FZcOC&_XwEqWf@3iTa~5zv@b`ma!FH4NS(UX5jiyt9mMTu7A_D?Jq@RyX108x^Pk} zX0V6}UrB@YC0g->LE*5Yw;%=YJvQksm+>y`(|1drGT~QWF`9c3;RN6jm_`)@-g-mtN__rt*89cdumRqeo$!Cq1ipp?S zej2hQ{ASlICpMsz8?Mk=eA^r-QqDYc#20s77Ubh=pLuT#vH8m*r#d%2Iy#!O)pO3s z`4=VJAJrQVO}{zE%rCFnh{TN#gU&5Y9sgmSMLLGpHdAb?IXO3FJzfCR zfKhG_uG5S6TUpSFgt+2c^19z+A4h@Z8G@Hh!*<&&GIV9s*G@d2mFxIY=i{KehgoUe`Y>17|Y4}314}$sK&+D z|A99tFP7k0+%$zGdaXK+fUZRgtZ@;|^_cHi0q_H91Hj;aG;xK|L_ZJafM0`bq9QJ) zpoPt5=Boa8AHaV5Fns*}eQec4^Ff_IFN>FcAaCXRVDaq)W`G?1?7xhG)lOwsfz7u zN8p$Er_US<`F<5My?V@X#a`2EEcyKomjd)<&pZYmf?}g84Nk8?x0lX5v%3dmP35q= z^wR2P%atG>nJrh@y?d~5gW%@PBO(~y@I6$O-b!`@dwHN2#)^;=@97MS2<-`sJF2D-Wru9H$nzR8=rgqS|7cQ5#As$=!^?nD z(^M%82Rn&zR^$x;!73p*|GAUti|vK-Qx?;;9@3pH)XMWeuDy*njr6)Ad63{Ous}N+ z!8~U3Ut2}|;nj4;9~({KIQZN5gy@~l&BciZc#YM1CEJViG%1+1ktXcOkvlB;%+`|3 zZril%2oYN*(}DD#d$lFe0+T=LrSWVn5bEZTdRkR8*uotAEM`&l%wuX z-(l+4V7QdIs(W}@8ns*iBN1Q!eU-VYziTlwfW#hb*H@e8%CZg6>zVTGAM(y@CB~w2 zbN=6Uo9rTtKBsVvIVAJ4mNE9GqGbSjdZfz49d2=DB*mA!?HP{{W(=6dmMk-%31OSS z9=027bFl)m%MUOj4B9_9>g495NmhZh@|+)2^5IPrtB*~~XHwIkK4Yk!bAGVO3_7I( zb~bz=B9Q`XpV8BcAj2!*8uOngaiOMswV5eT102v0cXxNZP4f<52aD36M<=x$CWK%i zlJu(GI*U&s=*r+tB9}j_7E+*AFfIgBOFQbEA+8$#9Q1qHgId?BwHr3FKA)9Tem@FcC;IL_qzesb7p8mtyN(Zax{5yzSYQ{AU0;&29~MThD#Dj9Zye_{#ziFL$0kN~20tIZ&pWL0S;ae`B%x51Iw?GD2oI`%KMwCiAXbP4HWASOEOQ2PA7uyAV-48uR~P_jh1 z`wiYn?-8|LgonR*UsAH2&%dUo=6jnJBVMV&AuTvK@3I8XH?->CqYD)Pi)Vf0Tlgi+ zmT*YY*U<1^$;EYXvqsXJG*iUnn&;=`hv0k&r^p>^U`x7PM5MHDO4_(~#|du@RaH#i zG4udO{}HSRv{|8g6f@o#sG*{wgYR2+etL^Mz0J_b86Jc0Q4@R_wM87z2Vy&!`U}nK zBT=6X)z#I52BG5&fdeSq(XHRxeLrH&~eI*D4d$_3wG6wftolX7}8usEQxyEI8R z9+W8+;B(YZ*FIxl5KVqVKYmR9^dgAZjIl7x1QLutgNA{edF8H(RIINkm z)GQnlvo20n=l&)ZOEfY#P}ZyNtlUnFj}tiwpo+yleR>2y<&eV%`~?4|O;P5~yo{(B zK)x}%#?%gunnyFIXjm!Qof9dmrcZg3)ju*Vhez0blarG#PD(Ij*1ZCO@AEdL&wVBK znt{C96Zq(8xR@HEKuxN-L~~$a*#d4E7pBdc+wL;+sK+hJ*Tf?U(?wCa>f zV@pAt80foy!hFYBRh2>aHVXNsVHR8Y0Bu?t^;3>fv>4dVAJs0?XN$1lg5+9W>x`|rz* zcHb4oo9sHs-vYE!jLRU42%<2+%!*j8ZoihgsDFjfbg1;9G=xjJRv4rP6qjt+F2if& zuy<@+Tnc!7GvlEzHull*t|ljP;c5Dc{Ry00q*-yY^9nf3U7sRuM;;C8HJX5H#Z>Bo zMT_nid|hBm(^Ca`c@Mz5!MMV5mceOKXi+-><}zco7$na2<`(17k)`vKS0J}xx}K`^ zNJ0f^L?#4*DX873u|+mBz;pxye0J_1z35M8L8oeZTClQf}S zyUt+GI$ghiSZu?2B1MxS5h3x!bcApW%rOgc=kX@c|f#oh)Ec*rv12ROLj22fO)2YXou0f7&@vJ zuaOo;c}wm9C<|#6@C+vt{vRa%4fB*f%*Js0fk#zI5-WSLI|K|(PQk_2||-u)$l zDLz1FXInVP8w`d>EsP)IFczQ#QfY@oMW)jtANEq=aM~Zw^dVlXIR zu{M;Ad&dmKpHW^6aJU0tG~7i3QS4QO$uHT1W)4`hs)>rTPm57s0AI`Vc+F@2<^Q7! zad~?gDFQav*~F5>2lzzATUnsBmHZNc-=$0W(4!ENqHew8qK8`^RZm{C=-(^JPT;f; z#?YCaDk-^TSjARIUFK)8;DaRJJI9ISS<#HfA7a$BlQF=UX-&te#wmPzXy$`laLsQy zhEcGSzBE?}zgJyV^#M#)0L$9MAnt937A*X&m%WV$^2YJbPx0M@sUI_3PJzJ@XXYfey5fF0}s)itUqM zZFd0DTf01IPR+|+5mK2~mTZ>RaikSfc{u0g;=cB+a_HjxHiVm=rK;Mj*5)nNQ1 z#Y&p!4fy*LB%2s|Ak_d({e?-Xqt&Cdn9ycMR#1>u22TeX_-j2Yb0F^Sh7V+DaE5fZM>aixQxy*Y>)UA#GIdDDRg58e8z)twlQWf zc5I@``hy!{fB`(vatZ)Sg2LiMwxD<|tO^c5(%|Fcg8>5%(Uaq<=%XVKfKe`6Q?B#0 zTy>iHS2=Ro#2m$e6#qzpKSwOTh)DcL$DNUV!0)<2bfB{p$qIH=*P>w%#HfRh3G1Yb z)?S0(0N^?|YcqopFe5C#uoue_ln6&pw5Lx}kD4OZ6Wi7W(AKCUhy0A6RnydLXm(Qi z{6J?#RQ)^s7r#>DEhjB)UuvOKp#U?51z&OzhFBB6AK>~lO0)RLO$F9U#{slkSXx@a z*KcgZ@8V+1TvW`HBWZO#7gTAvEtpwuBt3@E2nvlR&fw_*PvG!!xkSllg+;{_$QAS15eJ{4P2)bRUUF z`hN1lYmB_^5oKC;ZNj>#f=w<%_OC+_Y}NHtAzzE;HqBNcTCkSmPqkcQVtyngi8`Va zOeUGY8aP(2>`W`Ahz8RWf|QT$`S}1OGROOGD(^mx!qgnFW+BP`^rPklaR=zrJPRTy z8wgM}u^v&9@WW9SryUj8a7BGP?`0&|k}l0nfCA=?;;1!%zC#hE7n#6Ljr*hNgZgGY zY!-k(l(bur1u*)DZyN`H7Z4b^?4d9$d> zv8W>8G}Mjkc40?>Nm@7TG$=zP!gYgr!76fD;wut=PU#&*V<>l`ady%BiNSv&*J*QR z$9igNfo1rK5D}bohVY!j@ZO94Ml^Me)SJ2OFrF|rYob;W(h@Z-tpqqRjK^nv_1HBG zkv-XsbwQMgLq34cmV zC;AS$=G5Y#zb0-9S@R?JLH_`7@@Pt-xs%>=PFqU5>Q!Xl9Opz7vio*Z+W8baV0be+eS?|MN=vrOiO`ss44TwZRkerm95mW?3 zGDuD$Ng9yQNc`8rbH4G7JMOqI_vJoZ&p1C@*uD4KYt^cnHEY&-rmQ4SvzK`sM4UjA9bQ$hE0=!%r62zj4D~m+)7$@oIKvco*aQrkJ8J-u|8){+{I>PG{5mj+S<| z7x_i`1$a3v@OXPiv2*8a{^tUIyZh$nIM=s6!AO`X4c@=TBT71|ECw}c4U^a>vJ8)+4` z>Np+5EHoWo)JfpJ@#^dO{iM&fMLd#{1`+!ApLws2P?6mAifqG;k3>m&tX!7<;zz?G zXw#c7x5kz~J{BU~)si5`aOlv9+VlChKRz_;cI@2luG;FH5n|ojJ?B+V;MR;dIIq8b zD*J}3YjLU5O!Cks(WRlj-tvQY2)m@9Wm}S*`*W}L6*lJz>5chE*`?EGm!~^#ynOj` zx+5(#SaL;s0N<{7_Uu`)-?J2$=c#Ygzs<@Giu3#I)>WXsYOHH zdJ{2@!ENpBPAfg;GZ{IRsuSO1EB>rDORZ;W6}JCanratvU$W59(6Ia*z_8Y6wDmSb zdP{rAixgXmpSrKzH<)YuXlr9a+PWiEWx6%d-(~NsyHUyf6-%nivwd1~<%_|0?%cuu zd@1j4vrf$$$jGNEEBjDEL1AgcpJRHVj-&g7X=A=w6Y~>)|FUk6_1Pi@4h}n9P=;1c z*RxY`sfod23Zx;QD)*(y1bAo5+1>*8u^Wty$#QWF$y=txY~Yr1XL-_I|?|g_}1! ze%6Nyd92(Ua2fJq`}5l0nnWDvt@5ejFCHcjI(qTT^!?lKkIDI^s--9qlG>HT71vj0 z+i#q!NIF-!Dw`-D;+!MmI)6Jup(9f#?`~dC{@wb6pFe*t>4RV2kz5^qB%s)CUJw=@ zenw2J*F1y@`}p)25xae%Y#{sDp;K1l4dH9VvbiW;pQ(2d9VL$Dv2MR22_2&cNK8ha zDvx&4sNTJsLR-rU6H{eZT%w!?=GC6ZC>w)pieGCezcMcWQ7^iWmR zt8+%#p|_-TT3cJEJ2N8K-G0(vid71660z-1HQHY54hRm`Oi_x(!_YE{i;L?`atteU zcZ{vA?WetHSY%{cUbB>*xC;@VGlmyiUTVKJ^V%d>MO{7Y;GsiKHG57?#<~nTI{w%#BB|^U2 zqM3nnk7>iVZ(+3~%I@x^U!EUL6teEhUpvBgR1BZWbw)&_JF#NnfJ;hynm@byb$NET zq;(fD`(YW$C5rmb5AM)_?E1A>BFCVnSx#btVLu32tv z{B@sBOUbt#5ToIc(wE*`YCqPw^zCA^#lq<4C?V@thF;4W;jdmzXXbrZH8vhOW-~YO z#^+U%rpI;!zd^d%ElG_hPoB7sJYiZ|o5?{VgcofucU$DbnZNNWOuqGon7shrqYVcA z4wiL2w{X30XiIZ(qB(+Vz;m%_Z8{@oX{FDOqs`G~GQ!Bal|f5CLCetX>OLlZv;&ua zn1oD~&SYDEuvJnDK6&$XJWo!!Dsms+B^GZEI5ta0iMwQb#P;{=2eDpKo$1c$hR0-} zJ8*Mzmrf-|OB8D8>ZZRpsXGg6G*)WeQVovFUo{Ne>EF#(Uj;Yz%T{`Bm?=F~pvH19K7ka=_ zv(J{=SX~H7dkzNL-jSx})N7ey3BPp*-?_X=8nXWMlwOhCUM~9_tD*bUyOWJ(&2d>K zA(EODRJ37Su})n&x+VADnSGB*`y9wLQ!)|PKK${KUhG_gkY3@vmt5d5i#nIluPxh? zr~Wja>)zfXNjF7{+zLH)%XZlTtpxpvYZk-R57uDtuv}f)QGRqB*}s3^Q-qjxBZ6PU z&CM-vrgFY!A9}T)u&qLTHst0i*RyR)#u-D--81x<6@qQ$77!BBJ(E+F&1C3$`S0Jq z%tBUSm8+wHC;Q6byPah&cAFE@+pW@D3v@XDtzL4BD-y%1&foueJrDe#nTAGq*(|K4 z2zR9P)@owe?7Ij<0q#h6iwlbFf{TlbO{uA;7r~bP{1{xB?NjuxH8ynk%s?!pVt1{+ zx6vgHH*);>^(C@)>c;ivqRqNS!e1!!Dr}svA^+NOFL5^1IwmkU|{nq zJUsG^*Ggm$46fa_DB8L^d)YN6!qC0mYv_=Y=*OEkZd?ou3>>f#5)v}o-r8)+HYkfy zN@*8VY~O&DGf@ygRBnrTmHY4ab-n$+K4#9S>gic)YH3BEtJ?TrS=86GxlSsJ z026BqyX(E!B*IR*v^JU8bn&}rt=Br8&*~$~BYq_iu0oc-1hdU7i0iz+^W;pue(vqd zfyFoL`5e&S2ic* z*c>NGT!whkw7TlLm=vmXf4f3N6Q<70%q$94Z$34#xcCQJ0{Q1hT9d#XR}Go4_^BTh)FG@QBllIvEo{%-gtgk19&mIS-CdN1MylU@~RjQ&yAEgcdI

vX*-`$db7%M{1r3?3V+V z_09@xJ>vQE{WQ#isZEiSIVHcCVFJqJrLQ~rKNMx9C7E!aIyLk3L~sjukK|KvuCnk3 zw)azI^aKP14zsgoCna$ifQMlgxce01a{I5%VCgN_EQ2ylwd9+vR2-fy(>JH-q&IR; zDn=zijJk45ayjf?;iEnwM^RRH2oePlEF}N_3@!crp)ucO&QNk=zE*5HHL>5PukjV1 znu^NH;f8 zli2Vne!x83TwKNe#7fej2LNcNTeRH-2!S{&XHC+#Z#PMQ9)%MKqYix|_SaQ2?DE*xTE?@@D(J1-I*BNfT`sD)J_cp{MroHEAx*HoC)vjH;7P`z_1Y@z7YI`RJCXb)1 zAf+2sc|&aPprDf&mfG@yeet1hw#l~nT~g8&WR8`8f3Zj|waDpyxcdy?4N;0Ue!-D? z-#+U<68e2En{kegj;2w`0G1ip*@+H+ArkgUENfSJZ{qtM>Poh?z@UU&i2BICDkv$v z;vzXro5wi#A&-utKw4T_DeSZ;NyDm399~N=5rU$VT9sikz`vAQ|9ug~Nt?mBI1geg z04Oa4>ckemU4#jHi^34#Z^f=yh=KsT-!}4>Wf}+-{6qi(A`yD5%}}MmEs2H4fByVg zN|D~gsSa54)k`+ZI`+Dsa}bMdXl^E1*p(CiE!XSMuqm$q*5a?)xW74Lw5{swTxjUI za1~+KQ&+5?@$5G>Hy6<CV0k3*(Az>Ka{qfxq7T4)zv1Bo)el z#eOxv$srDumG#j%5d_kR%eF-Q{-y$&Bj;u8$`|}@ws$}#BM2~ibNrkS!g$2Wbz1=D z>4k-wmo8o6iz}Q1Fxd)sC;$NMl2ekz7?P5mmZoB87$<+-rSq573?w&zbpVzSw?tA7TU6o z3R=8aw=?6RO5YrnQFn-v~#?z1_2`gDsthgXuvT!j`| zMd#l?MlQ7feS0-f(0ju**7HyO+Ui({M+I7$mj43@ty z9K3N)IGR8pL`i7M4Z7NpafY=%qQ$)L!UNN@vO3Y`hJA7?!oXQ4I)#r}%Ci^{uEfcM zq0`Qvq+xsdUNX?WdGk3!lYbW{JeC^7VwI5ZG$?a+y7k@Ze8pd?JOew&ClP)Lp9B@r zGK&4Q31*kn9rD?(fQ>TKy47o)Q=nT1o@@#B&e;nWR5CQP2wbE{GBC4}NA9!)1Z(m> zub0DQHg)|H)2qHT5p$wlu)w;TpN35=zuvUkmyFN0ZyfN57UUub()8q+X8_m`gLtZ^ zUu8E`xi-eJoeD`p@tf_B=l9DsODsPB?Oe9CS|?q&?)~i9Gvu6|AZ@dPxUBfSvIW-1 z7UroyBJ@RQ0ktfIvV4h-vcbH(N`m24Lydn(Vw28_!kg129@! ze6yYT_3L%X`DzNO)P8ZZZ?6*oFIp{4ww8_siyx+^PXI8hiLfO=BO+}eV1WoONeG81 zk%D)3U-{kh`@q7Z9%8~Oq##ROdUisV(qK7)&cC&*z6mlZ8@-si`SvmOFYa2$9_Y z!+U@3Bae9clv;9Yb?oe!Gp!DFY$>LVuci|G+1nz`=>2X=E|* zXikQyDXD<9!8Te(2_&q0>4+bT?xrNy$&=F$_wly?8=|4C94}5Rt{p3$a+>J^RBYP@ z3FTWzs!tz3F8jvw&$F&9y_7OQoG-jdUTaIO1>J@j=naiL7oM#D6%@AZ7hRqkGLrMB z)v&TkFSO}P*2yzV12od~{ZuRDzkCLz>S(*6D9>kD{$o>Q@D*?tn!9%GDxG{A*iq%< z10md|zgXp#)ZZl7UR(42($~|)gEtVFVCS>07wg<>xi&E8owBrq--PY0Tjrd#wMD9G zG|RJuU>SAZ_~G|U6RfaKPU)GM9cU9id`K?&=j#cZuCbtQMoczJ$g!Oa)BOWcCX(_~Q9dactR9UZGr_*+dum#W*MHW?-t3F){a);v{-Ds*rH zjx<*`5=ncrT@Zq56E5^*WYt<{&bQaEk6aWM?qU_Sj|cB?%RMGG{t}J3wjD3zbkBo= zgycimXKk$|0@q>ew!ud()cl61aFm|j*mz&2#=E)i0rLeG_)CrB*ZGppG&!nmH5udr-pDlvBBuUcUwqA?^~SCKpeh{PH|F zSQt@8i>>k;%i89U<^9SvuKfn?1O1luqS^Dm;}J%M>n?Yr{I?Oz6}XxA#6by2UMl0Z zB%J$9R*|}@>K&&u7)Hqz41Nm!RMXk-7sD{$Hy0Gu3JMCcvQ3Km=&ZLWG2iV30Lhr^ zXRw2#gG6q}U*9b6voCy!cy}X0*We^p-6*;neqY`Eb9~$q09sbIBQR=b`T4)gGmv4P z4}59S?R`0JKNUwGFmGSnsO4fLhLzJioH0dS(h`1m+8%vPM&O3$M;^ZSY?^Gxb! zffDgpzC;esq-MQ(^(v4xcWQ9bvNEKX;N$@nUk4tcfWLI|c!(+d(JinF-vUfy*%E&l zU`#hky@@3gR$x%XI}1ls*tK422~FGtPu zXWm1A3WN8osgWgzHN+0oeBHg}ABkrc&Mz4NqOXs0IN9 z@teB+N~Wd|6apmp(KKV*axx@21_p-Gbz+&*X9lg}s(RpeRjyol3|K*;OYzn%EhQzT zz`iJ8a1I_k*w1wGDaFqBuE>xsc6N3m)Q)m{$dC$4DlMb3*e~91mL#R-=C*kCyf^U| zY21Y_cilra5TdT7HPd$ET<0r3y?ob&J0W8-kV2?yXuR9l@C;c8dy|KN#An++Vqbjf zvB@1#^u>82O1$*Q-U&#UL#5UxPXIo4<>i1}qo%gD0B+)<2Vk))$0!Hbh}BYk^cCL- zhbSSAGZ1TgjeUo6<}L!+oT|qRg4x^1bXe>iZ{xv zt_3l3r`i4~7N09u%c)q2YG`akWT52w?>s7@1(p=3Ltz-_OPUROGRaT#x2WM?GRIj~ zPyElW{C`=Uk*`LqUggH08ySu0QCQC2yi#oV_V3<;8|^8#BDlODHbG=ADn5>WJ5TH0 zLa)4c-@buv;5>LUDbWwh1AT*iA-U*8H8RY%`#=kQZj4gO|NbXrSn%iJ9x^tvK%kKS z=QI0G)#>A7xIx?butPhQCdxzPV&r>wY+fe!c>Ia@f3HZ%13y-gpevbo zb%Z;v?*H+}>FMcF6|`8TrjCxK(;f`l7nz*qv%Nk9G$$jQ{5uwJ zTDxQamS&ZrU2veg=M05!ONaea4@keCg#VjJSe#5vUES#mdUKUt>%5t}vD@JfA3ik8 zq40kMLz9)Ex?ND=K`L}-!45Dp`~3lrqo+mv5SE_oi7#!nmB-5Ogteb6{;k zo<)k%UBGyX$=yh6ePzzGAF_{NzTD{<8PWT#&D)e+Dd78w4k4G|O*3;Lam1p?h{nXB5a1UH|_ze|R?x5)0z&GsA(JorDuM)Pjq+D0 zeG#}!uLoq?r7#VU7|$8;gbOr!#A?oK8WHp1Q>== z*(%MW%=&o9d?QL~T%l%HQ#&ITvdZf#@>s_JYcb3=epi@&F!I{#yIo+^)hYKK9l3Fr z2<%~aPcLzCQ|y2)Wb9lxD1_W=+s%rc!+GZKy|%qGm3nWf*nH0k(T--bHj75A(=zdz#!cHm)@$53-)VLAwC-Z}-YLDt_gs;P3WyQ?c50>{IEo$Yy~X*nKT$g1ktNFWV`m|PYa zr(jrESZaEDLn0qUrw1rFe?@_oJhuCyn;{We{T~4_+*xkV& zQtA(+NS6J@4hWzaAJNUd{h;nXBt%elH8nGXMO8?=7SsmCz`6G*oZ43YHFKKozyS^w zgIr5eY4*TxWlY^3zqMnp^jx&6GohTs& zG+)s(e$o7U$Dvyi2~|)c(*-~P;Sr^C0GrCXBT-Gjd)=mD;S0+e6c+)}y#)?c9>80r zJM*hQ61!t@qu8n@SWXhfgMMy!;3{KYF~z))7PZTh`%^O7u&r3L&u8qTW@wtHs04ywh@tDqu8KbmJYuu??OZs=iSHVkny*kO zj&=BQRLX;2b3v5O-AiWT2p+5au(Q($Nq#C4CFuE~i)8ac-Ao^#AWRhQb|M#}Ws;oq zz74PuKt?OVCbqx=GGDr%1eo9?4wWQe3rlv@fBU8m`T4*Mr8szbZOiU#1Hv@9yBt)S zsQF4tN(d4Zr5RKM1^Y$Sm*UsSx{K@qIk3;de|igTqCH|!Jm=;X(n%>W4u?PNlFfkZ z2G90Qh$6ca`hD5%D?^I`89R2MU%%pK6OBW2Q&YHQ6sz|mxodQ#9F`j){c%3T!mh~w zpq_}#Ox~Oht6j}H{d*=c&x|bJxY$^}l=i9iC=9DKjWWxVoXnnq$}})Fxo-t2_mG!z zeEs_MMF;+20)T^JkIsw#MLHXd-Im`WBToeMMl!7nW;4tlbcqsg(yeVJ!&+1z{RxL# zPswn);FJgaEup*tThh~j8LRe3aeDm?4Mk~_nIkFn;x{(%8bm5!0@8rLMG5MFCV(lx z=~htuAtXVi__TyXzez0AWU`E^1}l^tS!w-8$HpZ29|VA{XqygIdZnkOy);nOPc(Ht zN{sA3`itms^B`4q1T(E&QIAAo7*DQax)3XE@MY3V0^uM^VRz~ztq{P%05{nVlv+Zi zKT6806!`N*NWCrKZz#8RK~3!#PT~6X79iW500;AMb6*7nhR6-U+tnB;llbwwiD=ot zU_K2sy;6!AsnC;*%aXjCzWDSfeV^}QiZCUTM1CcZvj=(un6De@Lo+A9i?6Blz=o2 zrm!6fMCpJ2+=qhtH7G*As*uXuUG~ep<>+Xz@)DTjG$Nr8%~i+l@oi@)<{1uiB{%ME zHbX>PPhw}SzH$@utY3B;jyjxuOpAqVXB|#}N3e1_5(iQXVVfu*`MO5M!0g>2XrOws zi_DX)tmNctP!XbHJ~A47pwOcAIIc}($kW7uJE4}L`~(++pvActhxtPRRvfDlBGU)| z9cr4*zVyZM8W|Oeu*w=5;||df6f1xB9$VK@t-dsM#1(YC{=_@fPxcV13O1g4DjQ30{Flk}gjsJDMCIK)er=UlS+or=L>m%Cu!~)V0 ze0MMl#wl8I(%0IS(M2n#)H2GGefR|cx&u)&+#)m{fsI&oG#H1T0lUU_UQ*Iyb^{I* z$Y71qva_A3=3bGP@+1{4myqQnXxjplQ88|c4PUj1Z5RHqWo~1`S8-D68hCr2b<$jf zI;pa~|9}fF;OWyBT#$4A&E%(K0;ngOcdVZ?o?_A!9ED9>yYNlbE1Sz38ymDad#KLe zA@j{CmUX#uJ$pi*B$J-wMRE9@~LCWaN~L{?s~^@0oM z!IDWg6c4kTbJyJb1_9gxDtv{Q4tXvHaisyD%05F*708aKeB4DY2Gc7>us+388MJ(m zC5sND=BJ@>zoFl_%3HlN*ZGVs(FVIQ!_nS)1q+jkq-!%2*u%z;l=y3EBg#8d%=YE` z0T)ba2Zz~^;>*ZOt-T-`Iy@n+?8ei6{FuNQUpv>?(UA&VNn%qf?@LQDZV=Ppc@e}< zwq#eA$pM)7VS8^rpe%1YD3%~jL!$R>)p|}%z|0_5tWpYtDH%0=w%Yiog7j%n{c@2i#tt3k<%a^lev8c z0Gm2fwM}8yi7=jcCPqeQR|9G(02vZ67JS(Bv=zzCR*!ft%_Jh>>Do-TGRy~UcJA!n zp)7~2vAxUHAHkM~FOX6B2CEtx5-ZtT8{GM`4;X1`b{$*Bu*?zWL0g~#^t%g!XQcjJ zjNUXXH}^bgdF6Sh1DpLJ`qns6It&|r2DVlQ6UX*$Goji;D-l``R!3)J+*V%^P2V(y9F8#}bH?R_|;wwNBPMRR_&T zf&Cm{Vd25eiUlQG#}*eCDz)qpybAKbcm^m75t0g(Vtz$sh@3f-W{|f*j*-jP`VMw& z$U}m}P9j5dhxux<-jkUF>chW_0-LY!s~E9aep^QF?&<02-}QL-%FeyA;aibS`*tjb z9W-pj7lXPoE@H7nla|oXP%l-MhX~_0n~gOek*UMox)p(s_tz(U31Uepah$LM>;(nN z&xF0x5m3ckEtbW6&v9{c;|P#a_1gqV(JcT>&1j)iV^c zti*?KNE-r;(!RPd2AS+$JSP~PB*s|`^s&Mp2>%;y%9@(L47<`48I;c`dt6_!2GK7 zK^b`k9PZ^$x2S?A`-@AT(sE3P#(O<{z(|K{%cNJ|A1_HN{O-o zTgV3=zMgq4XZ}dITS>b%_Ch!B+|9j|*vERO-u&KPT^GHvW{Pfs?+=3It^#s}JZSPd zJw3h6%479TBQ9{vlo^wg7PzeDQKBy6p+jS#Q3pK1XSn|Jc}~2>Zkx@3gGjWjo{wr{ zu+;z_e3?>W7i+hG)IR%EG+p3S!vJ$fe1i!9bLehlsG`I;Khqh!9potpE`%kf1FKS#VEr5@(VZW(~3 zrg3n2;x>F6T?d9JrmI&M9|8UvlNr9x_6TgjoFK}|4{nhiVg^2cMd_eCUFn>VL?;`D z=j!(4nvMJ%+n%}OLFOT^Xld1-khR0tH%&JZt0@cx^~U)`0?YO>NNUCMro@fN}Xq? z!<~FzK}bcDO0~{?tq(7dKm&)G!u}TdIp18dLkSe5B(q$ z$>b-Kp|))H@B&$Ym-3#6h%ec>uy^|M9Ec$8_C8pbsO1Os$y){Nan#CVJ1IJQ6i3l+ zfg!!P>ikt~5EZg>d^T?&*{J;b<2{E2p^6Kep!sbB_Bi0jj~|-N4z@>j`%8@Ep5GKA zXGe*}lP>44Tz-PiVGRumUQj64Ew)e4%+ejV4at?S7mU3hr34De8^FPpZ$U{C36jJ> zbB6~4YVj`?FL&3>4AtP8_;1{}VN#>a$|zNGprxj!=JiJ=-&^@BhKE>KGC<+Mp?S#j zEDuk3baV#bSduBcrf!9M0i^5wGp3(N%0*#`%d@XYT(}9^sJFjsntIFaV*e;O&j9P+ z0=mTnrC2e<)uP2%CxFl|KVR^nxNj{1bQa4q-6Cbr)iOuy7xp~y{i4K(`Mh}b%FJnx zcMg<-L0h>p=7(f`%Y}iC3N>j4t>4|R zDuyhr2T6!fkb+v*$-WOg_Y`j2SfnP>oC7k_b75b+#?hlk{qy%*(6!N!GuOSLn5Tk_ zMKfZU3D}5yuXX2HP{-h~X3*CPl<1il7utUoJvhxzzbC+f>+G@8P}Q*ycQ4*Mo5kC) z-6c8a@P@9^2TErv)z;w$I&pP)mMk)ZTbj15!VKXPY5D2O@4}rTJ~SNf6tfNs4NZjb zpJiB4ild?RmxEy_x(`B@p9!S=MLdHqkkz{SU0ox}GJ0Sc7GN1$@ddF3$|_J|1Myp% ziKx4YpRpSLO3WSBJpoQ!UH>}G$U@8Kq*0i zAaKy#Lb+Qd!1Y!dZ-+XMZ*xT(Yw6!5j2;hVV2aFKU3=r8QopxI zoHx5Lts&|@L&Thx!)I>>jgC#;>>oLV2J*<{_KLU}H*y)r*LM&42jU<3A|y!%(Y=#f zn~18SeRfq@C?bI#8p5Bd@n0#1S92gwyzBaW^n@DiV^V7An^yV-wo=C#!C0`5%zY!{ zZo~tI`tOaxg~s^?&jDefqoXqoIz%J_GF~R5-k()*iylxWniNEXZl4F`Fb%tew(7u{ zPN0PfK;e8c0ur8#x25U~o$q?pe)q806g@e^mmRGndMBo4c97+yuBJw2j*pwx`i;Et zdo3)3+Pb1XKNr;MSP!hq4z^)l1G}P5sfp|OtewP`*!$!z}t(KV?5=kRvZE+tk z&qxgF1ywPmc4=so^vJS~73x*XH|Q(~H>8;y*Whm8>ETmTY|dln;K)Jc9aNSLmiTkM z=iURSehF-dhmTJ($yCPUK+EQJV2Y8(0?IZTAm>0EA4!iuKNvz}+ubg>3~E9hI0R;&igNH*%rUI&axYJTCo%AG>I=kU>)T|qr{~7MW zJc5ZB&xwSTw34rGSi88dmtU6q^ODc^t{-i#P+ZwvA-$} z3^m@Cw+#@hE2{+M-@SXM3(2--ruK;8IbmVV3ioAIQ2%%2ncqTUf8aONL09kJy+42a zyZBrODAtmYU>s4wr7dwpx;rT0@@D$> zN5e)4V~tJ=`*HK#C%mTq-48}f*X6H%O1HjZ37-hh-x2bSA!N#h8hh*FXvCBP0SD(01z9`X<8Jo3_Z<16k| zY!Xu4twD{yv&hZ}Dcz8uz^o~X8`t~6H1PiY`*=wD%jU-HMFpXP3!}~K@io-ZnYs{@ zo0^(h`^NtqfX&rMw`nGUn{poy*UIL<*eFH`-a3 z+gAg|mt6eyFj_%Njh6~Mf$Hj&T0Kwn)b(5O@}7|Q^_IEhAZZ*DUK^CU7M;YptohhLWS2Z&CmKK<}-;=Ad*rd+L-tP>w*9Ipl;Iy~^15pdYe+RNych zeU62EIf{qDsq078w%b|AykT{S?D*PLk8(MUnM@TOjrR>__sz(;CNxa@ywYS$D=(cr zcN_3u7@!Z}?B1oMWcb$!}Gc@!E@n1`=uaUZn$z35L4O}iC;XZTb*~o91rxvp>THn4s z4$o|`oqJvDabSab(mN?LGqc_wGM+O~=lgM(mIR%-addmgz!VwU05mHx@= zw`*KL1F1BG&5o!)sXD;ao1HtLPkl>4;ZI=wET)|U;;uBZr63quuJ0Q5pg zoQlHe+VV_FXNJ}c^aZtmlH)|0t;IUhK6I*8Q-b%=ZCL38TTyn9aUs-BKcWWd=!>gq2~joXRk zD%NJNrXKz*pM3h5m`3cKi{Z=>+-ZTZB1$8SHUp%JGWqgi0i)!pdxe#Nmr0iG`qE`i zGuJSx7F(N&iGQq__fKFpyO0u1F;d_vRN_=10s~hnHsG_pNpvEX&hUfk*SaC>3=%bf zx&-w^`F*?8!a`^HJVbiQgqExtpy6!y`D(hO0-pwKqmn^@Hs-+Z)cv;u%8MGxh4Q;h zJ(4!1uM>8g2DQCBT4%Yu60*D)*Qv;U3fhgvmdvxy$Hn~SNO7Y$@EQj1GC*ULwt^n^l2}-+;Qnni!>TxN2>y@EgL2Tlh5R;s#{-6{<6wA4| zzt*epok{SeYam>I$;IZgv9Jb>1l$*%U7)4&k)*aLCnKK^2V!QYL|2l`eInk46-<)f zpfnXp4uMVvZUOpDkaD(~?fWUksGm}-`ysIe(GwtlNwENCr3TiUhXiX$KN4kRcGygz zOHHQxW+z4cj3?n)B#UV13K9B@QRA{P#MIeZyTij^!qVS5YmCBwkJ$qzuUybB-&FGqk42pkWvuQwE@qbEfmj2?S9(hPNrQiBtqwz zi2B8#Vq$%#7*yvstYqhbql!l{NOg>pxOXz>k+`RS?LKUa&a;W3h2?t}aqkQ;L9aR< z52JzX(`SG zW%*m?pu}pnzRX50R=xco$7!}#gJ6!hym{^2tY`n>!GA?XUt-jG>dLwnL#z^-E4Zg* za@=ZXDDgY|0Dwkx(Ihuteys~ilC!`F1oqdCbyxw%1p3X42H6+rjU1q2Yjj_6|4-F^ zC_nlqRA8P>Blf9KvSPPMwmd5#QH~S0&qWE2bJ+kC#vi}tN0VV5-zrUhU=GyrVdu74e(%#m_n@)+{W*`?6+dB|~lCGh3 zsIM$TDbRqh1ocN9eVSp9Apg8WEm@x-z-oT|_U&HV7fOfu-B6cpIWkK00I6MJDP^^4 zkVi}8#{pfy@wcBqzFTj$_*@lA(x?Uw%Q2K#v^ODp;Zie8^KV*=+S}OJnBAzQ_nxp6 z-7u=B3%a*tUDcL9eLQ}hY0w|jemAo2bLY_1oVTp9d60T0V()fpVb#>`#@3|fH z>C=^vK0sYvhskm1iLrhu1NSz1FxImus}(ov0@;zR2RG+eQ0Tk&2L}e`r5?Nv>`Jau zt@7acOe7Yd9ex39ueJgCuwxK~JLo*GhRciw>SA5bf`grnCh{!Tpmo zJJJN&;dpg*_2L{5Ih_B*jLB-$)(8CM^(_J&3Tv1jSp}#hY80^T>K?Al&q^0SHIl1E zHXIL95lVcuqv7sV#806~k)FFc&j@7DBapU4goo>($@r4ObWaqP@qidJ`*fYL&%X;) zK_yWMC2m=jF`4g78eMO@_xftQj-X-#b=+_~)Ub>Hqt$>LJct1*F_E(qg4QbV_x?Ivse7`JaX*t>`>Lvm@ulYs{w=Sif6D-g&Xt+B~-|?`^H5?n5%%mhexQN4)DQ5 zCOcYfUuWxnwI8CXSi)_n4YC)Je)pK5t1^K05}Yc&T}3?zedH~+LDH_PoU*5_SX)?z zc4L%Pzpl{>yxsfnciD7tnLn6uPLk75n$~gq|LjSoyG!?Y7hR31O)ef*zG<5RAPgi7+uwS z{0a#`jDxc2RGb?y&U`_UPqEG9$l7Jf0Iw+!#IA~kADjxiA|r2c=Je?omQlpM_si0k zXkjL9IFiM-H`lPBi2z@x#!R^c*p}x8xo7&qcP;#8^XTZEAtnke_om~7465`>nW;<(flR;zx9|i8F ztA(khElWF?ZQ0gd9|PgHlZz)g%o?g?uGlivw)qmd(K}*J{1~BQTqVb)GeR2 zP*iyj%%JczN9FG%F8?(9=rBeNrk1J8@~17!c@GxmEbAyV#u}Y^TPg0-B_Ki~+dSrW%_OVm90Ot>(!DEhI zPrEugRx6KG-vN||x{s;3sc}u40|52*oxPlUEWRiK0P-66#pwKP)CLG$ihQZmxnCam zdJosuF?8*jq-H=4t;oPZ5{liV&lqDg6zy%x7p_6FtOYt9?DC1sSq<4f=(LH?$Szd? zu@C{|s2hJ53oP4DA|?tYRGs5wQpQoq;*U>>TWP59T)Ib9BSyxS@YdnLsrVCNAQ&|# zB<lQu_0Y-3R7f!Ze^tb+!-8~UB%kq{JmXA4Rts!u^> zQA1VrIL`gH+e7blOTyV$D)$zb-#?5^-F%w`iI-hy?xDv3ubq%ua-L`}%9~30(T{ye z6ZYLCAh9mMn29?AT-w`5UFO^#tF33ydgeqRA9GV*Kc>#6`=}it0WYKd!>9Jw=0Z@I zIDX>9zeQb&FFMZ4dox6GkckZ-FexlrNvc z_uPemk0gEL{waK^_!*=+I{&GH28m5TAsi_RT`Q>et>esF?zx%5GB)#o{991+aa=B?+=> z#aBoDKIR%eehlO=PSr}iebFQN8XNVbOl}}FeZ#W=h;g%t?v|9494LK@1zy0h%Bnyw zIG5XQycP>0!fouuqIVzU?D+Zf=XG!$!b~mJ+)oa*&vJEl15gQ(b|0m%sHJVUv-MGm#7P4^*S++K=hB)xlAfV6NM%)6I> zBL626t6+Ntt+NheU(n8&ZchmTEr>p1&ov`IE$5KF2!igkVx`ww zGlB{)sx{|!=doH-(4Cw2U$f7Ueav>?1cU1U#3ZW%jYiPbFWC!1$-(LilQyoaBmP2; zziw_qqk>D(0F+wYp*>@1_z~T708e&qu2}pSgcc)0*sz5+74NZ{srT$4ce+IlvdPoO z!zi2_3B}?92M>Vmzw$@>uJhWZ$_IC!L` zji4#=El5$aKo4eQX=%9zVtfRE4b7p&15F+3HA5#*&`B=6fL7fMkPM#zy?n+p*7m@c zec&6V1L5w)X<2ujAP}nDk%~XCgtXVTpncO0QX9}o9Fe*;HrDz8%7Avz)zBXg%mM1A zafen@Zk#-uQyB6-sQ)7)WO*_%1iU$%39&>d%YqgK;!LuoRad4?DKvQCp=Vx!0E0?| zb`)e9rI7cP>(X)7OJ1}Ls~ESNNc^p;)AYdU!EHv=RTv#BfKe;%*|Uc@LnGedTl?_< z$+>v=;l3r%P@e`)0rfF~60My5JNFbc8n(h=B2M+(5vTe16rowSt7>cc9O)0xU#EdV zNqOU4S_Wv`0$Qzg3-9UV^}zzFgSxbCm*^4L+k~WfO^^jdS{rbNUAcBm*MJ6u>D7sJjVmB&pS53Im_bWz^TW1l>&+7BE(SHp}pceqF__;Ns&otesI-rPMN4b+ctlAv$Kcq~Eqk zPvtmPE$ewHP`T5d_TYa3`I7K+Ht{aWoBi(q1VKp5LCxu%bvs>&IaOP_phE8k_B|8& z=oAqP?{T^UBvT-6M2R#y1P1lICE-GmH$&V>Mghi;%HG*(vx2=9`~Y~MaRt1>Ci}{R zVZIo%EE?nzP>Yt++@Jy2-77An_DA$F_=WN{Z8)AK1_>w8!3{fy#>7c_pdEpluRLPQ zh^03Gi$w{T2K=WU;05k4hJuYPS#pS4tNS1*P-HADi-&4Y%YrDmg2tc}-wJu+6704UqsVDi0!7&uv z{zy)mMYK7{DnOOgGCxv_l*~=g?)6~}Gr}n-SUI^lXbdz%!=s-&6qN4}L?55+jcyQ?@2_^Uw+3LSuW zY@Uv$DrPkBtm{6>NxmOY8bt-~%1!tRQg{&ikc<{sc)nD41Hd|(5louBy#?&h6>z6h4h$M3itzxad!Uf150 zdeX3_$c)+yNYyM}Avn%PqB0kCGub0SL2rk zh9tcvFkb6qv)TH1%4$ygt@GE?4$5l08I~OzY2g!yU5lcu#u5h zd$@87&@Sq~l}e?amxh~R*zi0UwLSDH33_-h!l5BmXrHaGK-q-Lzjmat4XZjpPyg{u z7hH;+`wx_Bd40hoEH-x5HX8aMyceT~EC54wG3;J_2D9|*HoCN&6V8s>7=V*aa-fHQ zr>_#WLji~=H&=?PI-y7nhXIs+o&JM07B~g(w4uz($=LbB5e^EdZBG05@CFV=!Ec@Q3Ta0A|OFw0)HNo zlT{prE?MuuM%1NV0S(23>F-{MzDrEUwqYxrf(t#*3J9oz;{tNx19Ws?2kuf&Ho-|8 zkRMX+H?x;dy|Dk$GkS0?{~lex1IL*4k1&(u))g^>46bXcU$~bVrO)}o*R1j zHQ~&aeCJtRNW?be0Q1AhrR3?v?6GY+Y*-T9{RZ?DtAjS1%MuRKfjVPIKFkg}!>JTp z0ADt3Zd}usK5DrAFb(UYK|k13E;2@t`k(`{c1|?{wFu~5%^aM77I>Y!)3Cxx-MZZA z2Nkl}AMfP|J2!-UfH3X+{q;v=A!5kZ<`SqXXyEjg1a#&EqQ3zcpwj}lae$gsplSmT z2jkNPu#64DqSQh!aT@F^3s66!Dkhv9#obBc^#*+K=T2}MFvYvT(}HFU$%UixZ^epr zLSnb`3r3jx{~pDI4$lDGVd;cid$+s>e07xrbyCe8ix(LK^MKa1U=Rf10bUmsgEIH# zVbtJ*0n_1rF-FNeubZV04(B-6u=C8vm{OiIHLBh<@)e~*eHP`8xmcbiY|daA89O+S z?EyLr28J(^L$NKEV zz^j3bX>Z@kq8^lM!K{`}&!Btf{24}B15homyIcEHkYlv8;60#AXnP5|<)-r6mDA_6A#5tJ@um)CDl%=oJ<+7ZvOSEjX#0EX?oqcJJ_~F;CeGWm2WLlA7V1m zpkdfKjzjD~19zGuK54Y37PU+OD9wRm(9#c*?MVJGtR)@TBorusQ&*9_^7_M_#QsKT zqOAHUdNe(n*A{AET?~6MvS8Hh<*SL%CMq5O_DgthW&v1e6Ss#a^t}$wxObX2MZE)G zudQ+tL!vQw5#1%||y0`%sYhn#Dq^o`#+ zpHU_cwX8#U*C*hw$UYZ%dqPjYJ9W+=gr>+Ev{E}~8$c>)6uuV&mxTs&5)5{!PI^lP z7EB@J{^ZluN#VIe&|YqD^|r>w4|?2F;pBqHxG`*)bEolcI001X=omXlzYa68CvPp+ z#fmGcjSCf=%}I00nJJykq#JEDc4liobJ;Hm9k2&2XhoAcAlo~JoKtme%q7QsAcUUu z?59yuRDPXht6JQknb^T3>-O*aq`_68ag``ks3epTS!qzG(vT!Gg|d=t5~Zlj z%#fA6i)5Ellp-T!oQUjhMnf%*73qpwk`)|4_D}|ty z@Dkq`Xn;|bHFIq2zi3_R&+cxNr9|5O^Bo|v@KW~`5BFL3f2rr;>r0T&`<`E-{bkBJ{a>UQd`)WlzX*2j~LWnQvSu5!}RzM%Si z_3hoienaOGTv{HRe8UjZdPC_=R?GJLJtC(^GQ^AwVUi(kP+f)HSRRr~ywqg@Et?){ zpX*mKR7x$Kpre#?N6rLqGAlTPhx?L{WW6W;=VUK9ootE+dl0S$@pPV3$#sk6N^@Kv z;2Q%8fJ0%DRwHHm=(ecY**rYCIS{$lVd#QXLry1j_ot5^AMv2Y=kOvvKHeDcF@bBD z85zpx%MLaHT%(-?R_@YJun~75z=Ci?ZFq*FmDdC5pQeL?sgPB)ZGYfaD1heMs$-9jL!3Yfe;f?AIDabd z6S9qvu_STJ|4Iu%iazQl3wZbHZzK-E8J7GkNnxgpUqjOjAu*Ab0|t6W@g9{68clj( zIu8|jYsbTFP~#~!TJC%i-O_cJOFXIw$^vSDIYLmcs0Ch=U>(Rg^iOMjMix1>dY)w> zR7|SctvUYT{b0@tAlR>7#;S?MqH=oMm6fGW{}U@+X8eTn)5=}R0cTbDFbI(N^b*{J zn5PsYn3F>UGg_kskh7o^H8_E3Yy`p&NxupIr?)1aUs6*2yr%iR^}IMXw~U9j&MJ_j z4ofSmFh^6SJvuans3>{@pN*oBA9$B5q$-CxM3qdx>DaJ;6Zs;27R~ct7X~P+KQQ*t z{rKPbJnbohOn6R@(D7bO#GyBn6tUvCKX%r~*T2w8{sW24oKGt>IesSiVY2bxtgP`w z#PpRQ7lnQUNa+F>GTwE({19+pADd z*CN()=lX-*=3V|`1~osdp{clw6h?Xy++aI~ED%v$0o-f7O6^q($DV6SsSq4;lo#eD zIz8-C)+VK_*u4pYpWswV$KdlZ?$LIE7ewd7_Jfk?r zA(E$1u2y|}ewiloebeZ1bxkuT`2cHw|Kq-cg_GLIA%8!WrZDbW+O9w2yph z=6kDKyAxIpk>JcrYEVKaU^(R=$hefEgO|Pu9#TRWi4stnYJK935JHZ}5k7<%cFWY_ zQBfI(3Po0f2oay-7Z$FDzynfCatK6fLFzSWLlDtag6zw%t{8=Y&&fpwjg5_M2nutW zpWZxAM{#?wc%Q{!=pR5(?Ceaq)fSQ(;YwJ!Q_O|kjQX>4#fzX*9AG&8w=50*ugDX? z@k(r>se+5)SplIxgWsl4c+`jy7CV=&IZNcOcI2E|Ocxhh+G@8?BgB=2>@n%gQldPC z5VOA_tQ~+V@xIl&{{gtFwuu_gyVTSFp@LrpKAKRaDXZHhnwKv!lao_Zvj{)>9#QsL z?AAktis!x6ao>l$Vi*{kh;FK7{;C(Jh7@M05ieWRUr52mThkC!cGpD=5Z_lPt%p3Njy&NYvNt`Ds0Kd((LLmWit_yx0r>JU7M_=rFJPvS-jF zj!AVV*pV1g#IAcYR*+FCie#W2z;k~1`S;`&{N4<>+KZyBmHS!p#(|HgP!4hEG{4mV zNOfa4UE#I+4yaYj*B0>tk4K)?EoUJUI+AdLro7y;_{T;|r-O3nLY>jjXll#jf|jdN-&9LE9jlKp!rzT zCfzfi7#SH^dwDG#<+d4s4qd@lMA23NQTk(_ z@@gKe!;R%i&h6%XVrs6yOfa5YRA|+IFVB|}7LnU~hFShz0}0t7eUrfbX{8~Ke+!-N z+0i;SBFce$KKYZ}>aDab7b{%`Ut^Ivw`D@rk+hk7{nu}57@R?zmGW&TwHngcl22dw z1Vu!o1DM$0I77r_aDZMx!c%b1?--_By~atFJhK;KmR=T7OXP;9Q3c?o?$x#4&pfj7 z7thhVG0Kzs+Bm=|CW_Bv5#p^Xb}q#XBw56t`=H@mIdp4MinPt%?xNewjPX_I*aN~u z_uSZ{m#!5=YVFMxq`ST`--caUwLF;8SB??fFO~WL*>9n`#!fzd{u%`TSw^+H3Xxq6 ze)%!@D_HXNmyK3l12GG8Bf+nlv(zCco%L$|w=pR}5mi-!!Nqt!nB(2zOdbupQ%MQbo(ln`#swKb6=Qm@Kg5qM1<+QRBmD4^#&q8o^efST65;O zZ{uz{AT8@3fann8Os4TmlZN(J;h~}Z&$YWBtAy2et8n;D@K3&~3YaS~H1S?zKiPdM zOZrNo?DUUyj+n~6F*x+bd#a*8@(KuewlPl;qK$%uOwX_<+8Lc?4SWPBcBVHa>MB94$X0f!hzv_N3Z@UAvMR z+QP%bPwrs6xV2?328rPYecsTE^_9Ug8z^^9VXY&uQ&HAR&InPL&o*ZsbDi)9GhjIr z``0s_(}l>lh$s)qHGzd?HEk)lfK0}4{PT_nUJ_PbO6M>- z4oFlH)n+e=c1H65gF+@0%iS1B#40wpFMK3sbs3+2NXR#ov(C1KTx;S?5F!j-| z@U7DOl)^4c@<~c3m6v`>-(Bq(AyfM^!|hb=xv;0c&Dq7Kx_xVd(ge+WIr~8^3D5}a zX8xIfyx+y4R~AjXs{rpczA*GFbp)rRS(j$j3$!G(dYV$$ELbgUWl z>#0QQ_vl75!rxr7up*V9J;1j9JinPkbJsT$nV%^gU4xqt=qm6ZJyfk zCFOwfMw6O@QlqJ>65HOezB{%i_KsUloqx)mcKGP57-y}j+J&E0F1Mcj+?OwWNs^B{ z&d;m1YH;FVh~j`?LkIIuspB`Y@@>7#jCS?S@7rfq*Z$s}mr5jIQS`F;_JxV@9D)#2 zqm7lU5bz_Q16SP-qDu1jLU*O5t?WVb{1Va@AnE&%;?=!u7q;^BR5`&PuhpcflJrnL z{-65TOxkI#-o~tCbi1V$0`E1wwY*e++3HaD?Y>8q@8jLtaG``JM)d9PUUmW%v`Sl<*4`h zeXgA}#}iT2PnDE(*pl0gPzQTkhNF=~4=Qg&agvab=X`WhwkAF(Pdl%w6`lItN~f*` z76J$D?6V;MrAllA&?HJGvbZ|8rekrUW$Ddit7pt<#2(q+^LQ-UQbkc{oZ6T6Vb4*w zx*A&*4MmkhZqi;gmPS|1z4i^XCS^J7>+PN$5VpE_AjN56p2*LWhl%b3b0Qrh!pZ}} zq%{(8KxdQqH2}x_i4Y`Oa$h?_kNxlLk$V9%IJiy5_eq{a7mbIHZ=`5w_WnC{`9|KO zb1|=wv8wtnr}SI|KqOG(8p$jC&!0(^=?qYOV8Sjf-WBx0P!XvdQ{Tt$z#E>Foz^4i z0ucp-L_jpTT_T37Z5JimGLc38F>#F={G~OP>>n;Eoa^Rw?6dM+88pj8@toT3kCs_0 z)u>qaYMXv;da5*&-BUWJaZa^kTK*-fS=an{G{^ua>VF zHwE5LZn&>H)}3g&5{ymbW1Xkp*}@N6nAycnsH%LtmfeqBoGDl&68v`+-)icy9cyfa+*Jfwzkc0Pjiee zrX2<0)}d^|xMp5pJScTn+OBamz>d{Ximdk8dYG|Oj)B}Jim!Ifw_tDJ9~ela^}@1mt*s8!=6LuDg6C5Ag!VpXMrf^N*BM~HFgKY6 z<>G-|`}c@HFbw&f7%BK!%d$$o4}89Jyy~PAKpI^MXQFwi0Fn_DD7if%Lx$@3@4Zf; zw?4PV-Fv8ypSq-G{gQ;_x`ZC&}ilrxzu1Mq!1Et8yC zhIP715o+^NA+6yX^KaD`2M)L5DCja8HDu_QFTzi}qe@XR;n1`yHN18VMW3ys0)+vZ z-=$K5GyCs0N!QaIq8pN8l!s)+qE0EPL25i?KCvn<`>FE#S~1e+BvoA9d-JgX)Dl)z zg=GJ3=*OV(WrTLkU_-^HB>r<9DbI7tB$*sO)xgIC+yP@qcRsv7Jm_JCU@&Hv$+7zxMh{Le1^$Fj1%Z*QeeTgY^cJ)KcdQlc^6rPWz7hS7#K z87Qj@$d@B|PRM(c@RH-bRbekEM|3(%}fR`T+E5} ztRejeuRN7#y*?K{P(B;nz*KXY1Ep~ya++h_A>Ftl$q3Y6OUPngPzhMjfX=5jT7?*% zt!#6at;79axue``^>gL#$@lfqv0fc1a@P}C<%o%650*x%;7UfogAQ0C(Iy>@Dxf8j zfNaTYf@};=BGqgfRV4K%3B}*9@068o=~$Z(veFsphim_2bMq$G^2H%(CW=1WO-Z{O zd;0E#?R&-`6ppSVs+84^x1@fVUNa1TGR|>;m}%5@Qno$-V+JKiC2?8|3i-c!q6DJ92ApRqeBY%B*nMNmBpDzDY8esP8nN(Oyf!EUq{@N{#pghqCH5x0cg~Q zz0VDq9&ld_4Ru?;>`H$=xO?ZxnnVuy2C_xVyzWvGnALy4LquZ=;+*9l^Hg{@+je*o zrq`I$!lV;IK8s2J9Xvds^((sSUj1LiWpvHQIns0YR6H|U_?}*f3c-*RkQ78iJ9|=N0IASQ5LFx#x5*SWqpJM)}|Ohpdd-Ct|w-tx&4(|ID3O zKDWOzwrj`M%a?=~bTjvEVTf`Oido%fKRGz?igW$?PV-}&>UC(Nlj=5hc9M?7gOAJ) zZA&S4i>yqE^T%y=2l4Pqwp$*#6zFxVFHV+9^Iu=z!12v*^Dp};e~nPuE#KnN(h)>j)*Wh zR4P$jfhOlq8>TheF1s=pArK!%?_60mtl5nXxLc%c3y^HRXs6X9D-xm-f-}lFL(D%( z5Vm5MdzP?`i)vj&s5FAFcuS6_y1`45)Q+Lw^M4`FE)F};)NHxCK+l&tY!$Zmxz3msxngePj9a*X}kFRs3)@itxt6QPPpdG zC_=A|C$Xf#lJTOdl;os=0@d3A)2{%;hQiZdB#R~ucKEw)68YpI?+@D9>rZ-aR0D6>ob zw*PiTdt0{;;YH@PobSug;4S8;fEN52xUw|2Ba0PeW|uD-#u81Kso}+D!+-Oa{v!7&xH# ze7KD=&y}(l$i&HU)D{7u|EJ^=%#&umNz#Kq@_gOC0bcVg^OR6CA}|XY_h1tY2VOp7 zr?l1IZFi@SF3w#;tD z>L(5GacJ~wsBt)-hQQajEt7NG8y<5MAehW|M9wG}(-l5_Ri4FM00AUL5@P~S(9Yat zkinOk&NmQX5^DOpE7WWZU_c{8J$YRr#^~A@n%7be{Z$&N;ayL9oe(B;Ee#FDkf^{J zB4&whb8I7DZQYl4PKa}i=G{?(GCfosd(AK4_{V|CO%=X;V!yYgVz2Ki>PKbMdUdwf z8#4x8^pZ&h1>~pL%ZP@_S)jjZL7;W)T~+J;jcqxF0vZ9TMf6db*Ad53^&~@x^ae+w|uwvCq1~ zVsgPz&fCk&;7-VLU=Fj;f7woV6SYF@5IV_|VjOXQ^9P$V-7+|qHJvbcye52W zbBDd{N}D8;D|`8TgOw-0#q}9qSKJk#qRiFk&N8bK4A?{*?IzCK#d zRBZi?c?_a6Hxul^cphtAn6Hm6UnLSN@zEo7Ch^+C;t%K>2K%3xBu^rPVv^%UsgfezZWV9XD~IqN|So= z9ct>&;uI)y>rTx6wRFdP=9)brn_j*55p2D_Y}hD1s%-fZHpM<~s?D;g)5v0CL7P?b z)oU_L-XzJ%_`QI`gR3w613`X5JXlSWiQ;r*C{+yA*a^2k^~o)f8ap7-Bg3X@UVA&+ zvpp#wg&soiR61^xvJ16=4O5Q4CD1?ind2r5+QlglC(Fb6nWou z<9ht!t`HS#wq*mo3XNe69Zh^y@pZT1r%6ks=;X%_H?Lc_E_LUpp;<(B^?>Q};A5(` zH_hy0(^$plGk;OBmYF$`l6TpN^=3hb)UA@7&?bx}0uGTqeW=s2~ z%dO`3uGgD)SKn^2q_+=)$_`OvC-xw<@Frsma5dpK$#69B8-c70Q-JUDGM_o_e2+p` z5PL1WTLB^F^l2<55>?gT}^Nnw%3vBut7qO0_8{BadQzOLbyhTB7g zNBXs!K>Ma$FJ8o=T0t1T4|3-Q;fSdyT%gsVyn0RGJfl#OH0rF9oV40}&WBJb%tFJ_ z5j=NN1V#!%`*gyMFEg1>HT57EZ zA1?g(N~#A?4_76qQFs|d<$WB+jkckPvUC-Qa8^KC{?@G=KS)$Mab^eB>c=7>_U5#p z3MVlcM(`XKPCmhR&bK(l=H2NJT>b|t)iIkTyfs(nGiqY7&Q)Ux%7Y+_})5( z5$TT!<2Pln76?9>!{YN^c4^yZuq!m*$ihe&etCLs^YTTVm12wg`I$I5zuw+DXeC8A z9S|i`K;wmz8uwAJuf#5h3X21H6__^NmU-{5%p=m^-(EZMt9M_m($Xu6S*%~{vKpGq zUzhAsVf`?=ip_5Pc5{RM7NoLLQcf65*~MsT6_i$ILiq0o)qYbs=YU4f`sOn`_U?T? zciZte&GGY|vxrG~qWB*K&$E1#oc4st;hK%nbY8k!H&4i_>M3Y0IKK&{vikZSlLxe(k7oG%Pd z(ac)~4Nf=;IXGTF|5QEVdWFAA+>*lf8PB}yEeSTwdsY$DFacb9L0})K3LiPAsfhPB zqK3a%d?xS|bfD5vJN~#+OwXTPd2Z>ixKzQI&<6&zN^91$R{aA(9%XS-A5q#Q`Xf?4 z3y@w|(LkL;15oeB?T?}o&7bW(E>Z3<^e(3>7V!{yM_YleJNfp5u}b#>z$X&I{bB5>a@b2fRiVL?ss%@{9?=BL>lx`9+Um`r*JOD*{pP~7rUwRU8cmo zV7c5dS>t!z-0HRV8q@sVRk;ijcPZb#?GG)&49aVl4?S>quOW3IVDU~WYkm2E#PkK~ zLh$%0q@H?^98>@%%MFQwn-F|K3vv}MwnI+Nrfg5Y!E>+s_n$p`TG_FpL;l=8@0ygT z%jn7A{Yl{15_lcOnfcwp!;Bl#oUch3^Il0ky6I-Iqu`>l_xQga{qW}YlXBUI7FF#} z3>xfGjuV_p|{sY)&@I@jg5?ytzMj#{i}e> z2c-NZ&R%VZTr6ExfA_kAsg>WpDTPCa4lU|cy9pW56*-U?z_U1~+@M3cM|J}N=!cTV zHvs|@9cnoi7M5-e2QK5yl^yNvg!hZ~D^V5nD4`4M_~Q8G`*qtBpGkgATp9lBP2E!# ztstp$FAAx97%U;UMm(x}_dXg(4evP4k|##ENzfN(B$ff0=&UlblWnYckF$bIGuCk8#`#DqtplqvF7^k4xm~fY9$KmDWo)m zQu|5LTV~uf1{yR@fI=vjKZ_hiax_D5xo0a$4T0vQUuP_I^uT&N{5D4$f-qu1-Th}XFEa>vK!G`1TquW2Napn z4LlCS(39HO>81a=DtiiI;c9@6tZ?o+yg+UAu2Be~@pmGJCvPW<+<*+gn}?iZl(pERAwf)B zJvj&5S%vBlm+ej}%U*mw|n-O{dgm((zDQj}9s|IzgV>+B$ zUNQ*)2gZ~EW9os15g{EB>tDc^iFpt4Ny)Prx@Ki4TSaCSS#(6Men}-Tv!Zb1O8)fh zUn5w;hN=6&%VOAL)V^iJ_(%kgLI{vR{b)>UPtw4xsFi|&OU0hC}-|0r9U=0WLSQ+fD= zx%qP*%&$-FisWymT);U4_)Se~IS<=*ouIpagDHW!4>4AC)m77~IEX5XGGOH}9g70m zD*4l2)Pm)89b(To({Ce@PAN6MD5Jfkf7x&2iy?8y%L0Of`9eLTBj)I2dbXArWF{`| z_2%C&m`g^K_Be z2^jyn>WbzPeokQRIz=vRfdOd&wP$j!x>K(rSJzc9yage99Q;WrQyw$wor}~x&352c z0fA(gcBr!$f>R2oyn18B2b3o`UC-Audlly|h*ACKpQ0=b_(3?4}c5 zycqL&DGqzCme&P$C!@V;r_2sO1%+7kLiccIe2t-@=^x*3^-KfLSgRs?Kz%+#;L%wB z$`uDq>|A!0P1sEOock)(kjU2ZE=}#4XC>7_VEmGgA6^LpDS9LZR&2Mpu@#Z58ifU# zDX`xJ!$P{ZEBU1)5W1Lp9r;T&Z88clnSSEwMXYe)%GKfX67_@6GeIoBZduxD!V4?= zS}hv#>4djLP?+FIMI*32Zgi=20~5ICB7bxVIa#5wLb_1|EDGaeloLoB!J*)w7XY$^ z+Dc6Eh}b@EHh{+zY@RD&R)Gi!1H!}82)`RJ8;jNB9V)Q^px^OaSfj zze4;F4YjM^p6Qy-hsh$XRD{D0V0gqG83C(zCqW%TT8s$B0oK>|Zr!P`a3+&%V_P0E zv01ro1iTcYrH)jbbAY%t61t3~oYgBE*vKYfkcr@2zA2zc=u}sOEl)GWO9>~Ew7hU! zh2eN7C}IaYi`Vrf+zy&UO6dh74~eNcN(n?63^8P&NA}e{I8qaHM3R7_ zrh+*T%k3?#ObD>0m&FECH^Z@)c=|%BO^Xm!07HgUUYB_UmQ*4x>4wB+0xlGQs8+&j zh2yy`Zm2O?qFz9N$m;N`^&5xAy(LVnlCf71^>{ovA`J)oMBAl@iPJoEm9#9%#jw4c z&Avt>PKo(Jz!eeGH{ucxUD`!L3GA#n##LM@-V|_A1%_De?W%9Rg)V?4#-@*uF&6OT zdjSox@lN2|z56RMgo79m9H9EK)@mEGjA>13Xx$JpFV+EmZ~Vb$E6GtErcolZM4V6h z5N;VN?6%}>J!bqu^IBlxK(Fbe>E3_>YeTlIo2C6^A zIIW71%P@s|h-MzTYKYG*@f!QFOT>-rVf>KIEhv}~*_q!%P7D2e-<6HeERZrL0Vos4 zIwB46XBgiwaDBzy6P_T^p=;QhhBX&K!e#Jm4*|?fN}e}|Q|N05*Ac*dWwIj>uEKG_ z+#>|vKt%Jz^5@|Lm{5m=pn)SqY^lCRPz@73oPLSOp+Ioq!T<+&|2a z^TYSJiiSoq_*bPg2x-a+Xy%+Ird#&{?CQz)EgCD&fOKp!a=;O$hP^28rW24l8mNRu zPwMI~&`Wf&PXQ)Cp44yO-dmZ4^qe%Wh!a>0Fi;5k>j_9}(!n058K^s;A||2weHNKg zCE=A3cTE^{8YFv*VUNHn?ZMqtk*z!E^{hN1m_QX)%kY~c)Hx8X7G(~JAO!lG4C9)! zD6^?#a>pZ@7S;Q(n%n{5v62Z!_9Qg4m6Dqr&?O_A1aw%{i8(Iea>L?V(RUscwnYXt z89oq34T1LV!$x^jI@PDXaeg(k1lFM#>gxoR09YW*wusLMX0!}}`oX9m1v9_n))3*^ zk=yG06ht6E#MBD}A3-Wn)*#+tWU4H>p8|sIh{ofhSvlt@+RA6qlF0&deh$hb)u@s1 zQwf8Nkn(;l+j+?2uc@MU57sF`#I5AryBr}jTc6t@^a>%an7x*gw0>Fey$noDQZB%V zIV8@|3$E3~-C6qOB>Z1LN&`zE(})N{S5a8pv{5fjGZ&`TkO0hjZ%?pzG3n8Vh2Gry;!9^@D z9l7EeF-d$U;$mVRV`(MM%t;UJ>P**u>)n&6d3W+s$CeS^Xr`H_atcxve z0oLN8NPRy;wNN}i3~QpS0Q3@>M%jf~iyDK>+(|nU#e>>1&Dn3#kn!GMFHO7f_v&!A zJAVN|7>vbW47T#%r`Guial)G=Mbo1~EzsXfKpk+PIk$$k4@=A2lq?7`7Z4H9f^?u} z>Dyt1%x z4XwYhcfbfDT(bVcs779M=MWa8HUzZy1fM|N;xV>hAEeP@^A)tXwAmA2w+kpd5dBI3 znjb#2Au^!EU;_B9qw$eKJK5J@Pjy03aRrVB9Ok=$3SJb-89{ir{v$8e{pjT25-^rhYGWvzVW?leFr4 zhp)YmdqdxkmT8~)YGK~tNm!U+Lk92d+qcJtS|gy+u0DzoX|HkJZbTvn`|DE8t*y6n zb4MR6ttu&TMFbS$eOXOyo~L}&dzzOQ0*K$}&GX?+55Hcm z`nukytN7!`zl4N@+zrJ%zX#M%+)wtrdVeex|_aUI2(FM>-D`)&{ev;XXA%YpNcQ;QS;v~CDl4?eO6id zv4r_HjLT&pdLTOO7aUBLlPh9MA3b@d{>qJM`M0hk01nBnw02_dQ)Fz)Dl3SA=o~GrW~kgh*vDW<(OYi?M$Hoj#L7$kVjY;2l&+@^{-*z zb%_X3LiPB|ongm&Sh%u``lmh+3+{PwdWaxN#;R2>Nr_igZZNSSe!MpXbKknAb^M}5WE69`} zzG+;!_3)G5)s_$YgG5>S4hC%}?HUA30w*i+Z$#};sE3@_s`&E78`4zYdwU-Q1qHoN zj(d~&{5g@C!Yq6SL(rcC1DLA3l!=Lnu9nuWNYL9id^~Ps()5za%xtJ%@HOhp>O)+% zZFH-aFM-F~W+`hAKodCaeyjo0zIwOA`%Ql7=|Y&!n_+BKH<^zTu$3VCa%a1{RqFHN zPeq)xw%&&zh;U(NPfZ+b1MvgBpnLF~gr6QdA&1YNPpkqs!r5tIE(rgy`hCX!Rcl$R zxsmC6UtbwYH^&qeFJbDz7hasHLTSsmMe69*+#l#mJ&lZXMlb(+cXuh)yCHbasS9s{ zyw?h|dm=M_0I?cZW)7o@k7q2r>^n2WOxtU}`isSno=ps;w=`4+$$PWJb!Q|di0!Ab z6FuH)B4)L!z`9$K)N}+-x-~!9A&0z1k_%-1SM7kgO`4tn{=JIlV#4b0{ zqTMWG|MjMFPjBx>P|i+Lseb`*pWng72QeEgKZpDG@3$eciGK0IAH$aca(oN00sVqb zZAElQzhL?B7g*fualRjsm!}I#Ti(>v1`H)?u5uh&4< z6U6EJ=mKOQBq4|I=FOXjhlg_#$JG((2wAY0oH?@wsdXnLLd3Hw01V4S9*AcHr#gMu z7ek5oWrOU<;A_jm(WtH-1XbVhN^&14Y>GhW2sMPaaI|A&V&cWJE-I1>zxCS?s?p%M zZjq7-MKcvwwclx8dfoOD7tyWx*_7=KDJKl1fovSW8I7)NsEb7dv|yM(5Y$%F5HQCA*WIEso6jZwNAM?PB_u)_K{w6xkN!BiOt!NMfx9B7h`e ziIPR$)08a)aqb<`(z6EE0q99S^7lUi$S_WC2IMnfxQhWO`8%%8xEzl4w<99Bw);Im z_sk!UuVri!2VyYtW`Nw#Zg51$V2gmjKnQDBXNl&}&4m5n&2tP64%*t=3j_Q`l2d5U z5%>B%8&|<%1l}78SjlW+Mt>_rKZ3wUI0_;}UjbK2E=pAN@93%z2-=SxJH`mB#iH2R zm4He>ug(K$$Wk309bA)cMWKb5fclFqTesc@YT6%baIfA69}RPfcPkn+3r4zxpvhtQ z_bKULOJ!wcv(^HfdjI}cdAhv&_m6Q)nYS+m^3h}SeqY2<_MP^SDp_-8gUy;Xj}*GF zzhSmhQLDLQfnO(zk4L)Wz4%e1)9)a!#Lsj36_wEJB|j<7^p<~qxrRTIqV?yO?^f)T zV_mZ*_b~K5f58?`+)5085flD5`K)I86@hs35BtSG{rTi&JwO#GVQaRt9BSd%v15m% zWsjV#t;CgzCwqh9<;+^KPEfK`Q)NNb=}713aT?y*;(5rSrH=Ujyv=V2zU>U)O%pP%mh!J zI@JxYze~ukV2?Wj%^_k-0iyx-aa%m~<}?#QbQ8#fVb?-vx#Lv09)$Ai!)&m8(P;?B zE=U(-ACEKPoHbM|aYuAhNH1*x+TDM1Y7YhB4)?BI4^iZzJAL5-729raZ89sk>z7c1 zB*TR1D=jT;WSWVMzW|vXNlTOK=QUHkupz~owZ5W&jf}Vep(FGB{5%PSeSB6!2kV;l z7jV`dOIq!MCiT(6m;4yt9ma@HG0O}G$-*)C5)O{}R`f|&QQn(H`QnL;!v;(b%4QCZ z@;CdPku@Ck+DzAmO7~_-OR^7J*tu^I=%M9j=eiXjOq7O#9GOynACDj|ML%mdpsg%; z&v&GYZKy!LPL!-O$y7l3>}qY&dSJ(=W@h|?f=aQ}ciVpkP;Lt4-2FC#n~{}zUKhp0 zy{5z7PUgT}Y|N!ax0itWvk8?C5|r=O%vtTcl2!0=cP4(+DoRS?>SVg=FCotT{8OGpW4}U{@N4CX=&THZ+C^0!Dup`I0%`f=QZSrrImY@k1Qs` zLy+eOf@>`o*C{zUibC}BH^qh6RIfGDXbm8;*{SR6^Wqvdj5d7xRtX|9<}H}i42bVi zG;`O&HCb9l<^py(rP}8i8NQHo7@a{*c`{s@ikqhlkB&yi#4HsON>>-s&~bX0MTTW{>x^(H%wxJ=GBJ@c=;lxGUxCAw>(z?1p=tzVilC*D~!Q;5Gqo&gcJD7$Z zPTQ&9ztsy6Cj^U|aUvkL?631gNPPza=8D^beu$Zf`P zgPPRd>uqufe{i~jpNAefeGxE{ZxP@xt_kcOY@%0J>+9=Nq)`$bPl`r_fEV2>9Y*cPA`IcyH^_Oz`(z5@)hmzl_%8`Bk|Ld2|vusGw7irok S6is?uRQZ!f(hgm`^M3#;iX{jD literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Light_Conditions.png b/Vehicle Live Risk Prediction/Images/violinplot_Light_Conditions.png new file mode 100644 index 0000000000000000000000000000000000000000..a82fe4254a3d915f5aab78cd8800f16d00cff913 GIT binary patch literal 35556 zcmeFZWmuGN*FHLgVo~-PuKKuP2$KK!fhwbtF9(1_pzOPuNY%uc%`% zG-DVHweGH+@X25HA6)Q5%=N0StA>-MtB2_w3yiXm0udlBYdVWNUX?*zbp}W$rGVGk*$*K!^W;M@GS9bIkyI35( z_Nij`fz#Gs0(L7)>-cnJ=$)#%;BD+)YRJOEQZhtTTv+ThrgTsL{2&)-YF$UY*|YIZhtCaZEZL<*p}Q@k^VRze%JQUWpN4GYYD}^n-AA}F<#$C_y@+!g?NDr8#kA}_DU~IqX8iG~lPG*&=z>wSK zhUZ~I6q>bf)?DljWyZMoZiRJ|Pr;X)qliCeYqN?!38*$P;Uo>*CtwL_&iQ%@t zKHVcMw(Gop^CrdYg;c@SQSa5^@Yh7*{-iw*dJ3K5MjE1$rG3_{S7v`J`)(%3`KH;l zCe;Zk_uZ*Ke@wzX<2YkbfkRJ{MSYk}TZ)?aouTV1d!62ybZ)`~@-6BQH$(^~t5DF0 zt(s!@Wn3s(nCw(-l3I?&j{o}nfH0Ao>vt;!4g^5t@j-{$I*r%zku zIeZQ>TXQSDiDz{xQ$r&{RD4TUBMs8{OQ8U+a9Ic9+i!YiUvE!eXy12vePCIr@hY!;sT6U9vWjo_~Ar znnQnCapPaBSkG&Hr5>GasTy26I7WE!sxljSDwlrKf}y6mj5e0QDWeGt?HnEBoY|Bs zJaS(DeT5I@EDsMJ4p@5)hhOg$xs?^;KGWM}QpzN=e&YbQisqd=ANTLyFXY&JseE&7 zvSJV|1XsAhNxb;rGeK{;yK)Ro3~v3!E~9H-#@Rf2Ijb&wX_4Tte?-wS_DST?NIJvG zDLXzsUa~q8wYWB!U4MZ-Q!h8EQLH1|IJ;FvLV5S@-4mVJaqQl+vc}GOxt75y(yQk9 z7U52VL5io4yY=$c#=sVjsHo1~BYYW!g{$&1Yigec;pSQ}Xsyea?-N5pggxiX;gs{m z2QRxn$*x#a2sd<(P}k6S{p!_QyX0P+(00!LuF7{EZ}AuD?-7di z+w|=7S?>G({kyt?!jsd=k?$RP3U=getj{+IJ9GjP+GC}>?r)ysvT2MK zQ&3XUG&MDiF%z`>apT&xz_he9ES_9J$vO=-!e>}=Mq1jaoUpiU&@C-3geK#-H*bzI za7Y`xe*K!Nu#J}WkMHa+**@nghVPAyVXfnu1VV|5*zm!PQJF29Sz#mJRSPhXF<4|B zH#fJ0iSPCG=^j^JHXL3NX_~F^^>FWziK4;hA#lS& z$3E9~EuHpNiNB1^ep?&M!m#b=p51oYuZN0H`z@v$r#cN(+_`idoJY{ekB9^!k$BBV z6~o*Bk(K#Ney0&{)rEzHR#m#GffBcL>5T;qL!ZU=k3G|i(te-s?k|0=$3V-GLo!pAfz@ecb>-Ckt-31O&?0)OFHwHPjZm6lfax5MW zi=TFJaS?VIQ8K*!?GSQ=!fq3qeV(H+`UUn8Sevhp_7O%Rtg!gXjcF$znHQ7Ul@)4> zWgAO9Fxg0HA3{Pmzj1}ZXq;b#y1M!Tn8qa8Z>#kAaj|z0z{aYWWHMSe|2*aI_;inE z5q?gfz!Ju9oYmu4+ThVEq-^N?c?V&s%WARScvBt5`w@K7AO)Ak`9f;x4cd1LOUtzi za)Qj6*+PdNkziI)6=R>p*X*7{`_Sqh6S973*$|ls+uLE|*JlVb@A7cU00UJ-Mj(k);4 z^Av^Nij_Zm2bx6RfM*!*xarhh#~qh(h*x{;;SnPe?8TAUd&A12eeWe^isVALRXftN zE7ArwW<1bfOQ`#iC);YKGcd!8-OJRpo z)E8>b$R^&Fk(ISHy#+@`89xH%Jn(DzZ@(8gg7^cb`9@1i%hJXsb#;?Mj;cBC^30~N zr-8p><>W6n^ymSXnrAF#?%;0Dojp4@ot~8?5=75(YiX*h)wQ%Q$tH3{W@}YdgSZMe z6xLPLXqwC%XYyN-t9216a3J@WH^6drFRye~Zsyw@4P0&4G2W3UF`1D&;jKDY^Fov> zBF=jbkL!UL6=4l9$DcW$L(Q`ciUr0dMa|)OQpxbQ3N-)@`VngG*k9Hqq};j=Q?*bK5CuFp zH2;D_rvJF)-5fnFEemZetq8D^k@Dq!I|YHbyMG@07ku74f0~Oc!e!)#O`Bbj0pEPs zO~;FDj6ucrT^~<(u7OL60+e`>3$|)y<*o}Lff3`)xp4o1Aadna1y5ZWZ2F{BCpaGm z1p$CKY&lyYs?u;hpbj0}2Jr{rFuFX$9Fu!Cxm`aNCp+n;mN$LM{#LUpZ?aRJh$KB= z!~{F{xpj`i>Q=msY;SKzu17^;T8QE3h4}taI8FwImK@|H!o;o&?VOUtBd!N(5eIQ`5q4c_$H zl?<`Z27q$O+;?7@Kz42}u5skn08SWKjV*4U(YtWzS$_V`do*+q^2(QEu}um)Hu);o z=W;r?W=hEjML|qs{3&DCaSjky$G8uZcBv-C>DL>x=W59+F|IXi9%BHqNFA9sSqhLHOS+#k`SZ;0AK$;*I$yVyD{&p)Kl^jsRe=c5=}Tn0T}x%?$pnY5VZO}?z%QZ>4(^l0G?e|adl@B0QR*ezs&^4 zzLN2gC@1Z$&5ia-KR>DU*{a|*Uka=)82=>T-FD=zVw}J1)`vr3bockemraHrZavHb zoFcW@rh$?QagUjd^sEwv;^JbeX~yH1;{CQL1Lzmk!K|GrCHFsc*(2EQ239r!{;VAU zu8>(Zy+dzNv&Ur9=Ld8ag*~igB9Uv93%aE!pR4DuT<|ISy`i9@5@r+W7Fb7vyD5jG z^S}1!#fwg`_@u&qf+DyE!rFN9>*(mIDCSJ*e&$ypAsVAU;pT1mcAeU(qM^PUYc@l* zuf+d;JutbTyR$V_gS*SV;D2pEd!piz>4D11#?6EWs_&!SI`r-o8xW@RJ1-Y7xMg

x3tvoMR2#B`2J1lmy(qecSDtdbE4D4SIm)jT`YVWHxmX$d49tId5#f+ut~UE18Ugb4Z?V$xKt|wr~nL-gzY-U z-aX};TXZkfymjl{Oxe5&KKAhjwrTwkUwHawyM)wArVZ{x3lnfBlr1Cgwox(~>lL}- zLxmFpJ_dIRWnZucYgHVZ@uK~A?X}Gjvx=c=ms&VNYk5B3Q4^4O1PkcpVx#1}Wr1!&Lu4tLWQ-*wv27CH)F-&xF{4 z&}Lf5fZ6~nP3|2s0+K)`^yN#^yToexD$;K5=y&q z>ch^r!j7fn<>kdYOuLs}d%>Prxw)84Y)hHv$W#pHBg}rL%lF&zm0BB12=+C~HY#_m zKVN7)H&iEU?D0L6XKlH1D|30k&$u;7*=|m0^z)ZI?7-QB{redEAJc%Z`b%gUX3O$j zAXlNI1K88Cja&uk_c$DfIB*m1UY(NfSlv@I!H6;8>W~FV+C! zR`qc4oIkI;-0SiJ7KzW$tzD~R>SH~?vSiQs5gtB16^P5mv}c)K?AUu4jSHoF3+cui z3XDN=2!R&ZcfA8}+uzwUTrR&1unc92fByVwD|8x&ulgKyr+?&UnWqcM?TacTbc-{6 zrHz|nE+bil_)q|VCE5O!IBIo3UvQdF}#X(#@ z#CEY{A}u}7y7}bB-xq#u5MnYyLqo+K_Uzf?3T)08&_12FYuJ(@_kmDkbWuE=I#sUrcAxljFk>orp> z-__Mc#k;G`3esG{-)~3Uz*kNd^fq3f`m3=`MRo4wT8d3y-AO==T*kVCp;daTb_4&yk2m3?ydLJ~XWF=UB zW2}~-Swg38XU~o(G4vJS$}TiX&MOICyx9Eg#S2k{iz}A8?c8E3@BY1&3urs3&(W!k zek54T$;I+^Ho5+0Q*&-n6u`!=kKdw&Y=|sJj#we)qYRG2k3_}rNTPRcZSL?VMtA-#~!2)5t3`A}q}EG#2{?vKWy{ zAWN<_{PA6xHJt~(;}!bdvA})KK6Df@dqA?$(mo{-k&(8rK=T0yR8m}~+dLRJd>VY` z8$?GSW?2G!7(mMa;krRB;aUWcHa5Sw*~YR;X9Tz+&~6D1!rZfN7B-dvDb&zk?iHny z+&a~g_*Bey{q8(OP6p5ZwJbIO(12edQ)!G6lbl^WU z9WDU)u4+*^f)8YD5#sfhRKEoPsW|_4)}r79Mtfs_=Q#>Elth$ zfXce;7y7QzP!s6D{G~0dtZo{jVvzrt4_?cTi;yBt2%MlM1cgLLpR1dHae<5L+aFtW zU){uJs8X`%*-xUj?g^uy~tdz9#FaNpu z`Aptj7|aSYi3&4@t5_Xj#SUna@BL@*Sd3CcOoPAAfA9Yi zxPq44=ERYDKMo8g=inslIZ0L%tPb!55i8giD#a zI@ukN`epLbVDyKgoGR2HFHs8ONxZJ`S}7B<>^?t{2q#A4M2K(H49jmcXVvK(09i~FnPjJqE2Dh2t(xoX>!5xQ5YQK z_T)baHFQ&&9?&kFzgYnJMtsu_4Ca+Ajt&z~^Ajor5UtF+m3SJ+xJdX3agdjryXM^l z7~vIkjU3Pb9FnX&bL(Vd!+DGJuF(OoP~H36>yu+v!w744OM$O$^P}NX_%t!yGR~M4 zgE3)1w#eqs@10C5rkm>oZ2YUUbQlcn|NUHSol=&>zG#oQLIxP>&VNG{r82nn^1<#{ znL92nr?i>`)^ z%bm|7&E6eh!(e##!S-5@Lb+kO>pIb#*2bjm_`K6z4Cdr>f5rflNH=axYX1WBrdTQB zeO2bsVX12{-B04kh`Nh8d{;i_zUsv#3?+0^WBebTikGj2yfk~fHJKMGKTx&;x{Rtu zxwQ=nUO@dO0=b|J6)7P1v~W>Rp6uC}vXapNb_o?`fT{vsjv9mW0X%jRFHkB(deGnH zGBvj41>+xLCY^c@Nj`V9^L=0@Dru!EoPS?Fub+3_Z?)by&v%0W9HK2?6JY%2@*#VB zj!5KkhzM)5RZLn21{tWLGkoXj1RR3Ai}KHpH$$Y5ViFf6 zfRw=LZ0Cu&jpDqw1{CG1H^wmCk#H!~iRMXdf)7f=t6Hni2rU3-JOO;!3#EH-bb{Cy z&g1|A2f^4DfOCZppca%0K>Y=a?=HHX06aT&x4DId4T>%zpEWf#Q*v@H{My@Kb@X$R z%ufHYMS!FV#2=1tWlRa9wQ zcze(3Hvo&z061BG9TUSgGC_rD{w}2K1F$i6dM0?+SVTTm%sx4&+ObnfJvrVdVHasx z%ieRt0VPU@4jx>o(3Pgch=b2@AA?$#fJ0Jf|08bK5T&S88ahVnn&)hphU^&3r9ChP zb4yDF^_bXM_{9pL9YU*?o?a^C_ia6=k0!UK0xb0B$KYyayR70oMOwJJSpU+Nddv1N z8^9bc(k`4K6*?KiHc!NO^#7es&&X)&&bLFnJ|6IG%=@1|fBK6+dW+mjHiJIhatw`i zI%Jtxyg)0fj6q+|(o_Bl>tG^S6V01%QkS6?g2?!70@E-`#6cbMLr5R_p_nH>Kibsk zPemhS@(I%rCu0nios#vrdM-TB8i@B_KtwjGzQ9+Ykg%a37sR;O02zvZxJ~5wJ!611 zJrf-BsV{exdFEnmAp9NHp~f`7@Mq^ll}i?@=-*!JPmR|v6J3Fgw}awt34ls1ZS5q$ z)RO?@k4X{o`h6)5T-@B0*m`nqbPYnk@Rg4}tb&gFFr-&Q!^5fZ@wlWP zft@lk`c`$JsHQLs9|FshseP)u5?mi5b%^f^2YhcrT6|cC7SkLIgMmt^wevNDstZCM zGX@PY5{3OD@N2?Cv;5*%!i$2-4>A5r=D=~p2H$P(Cyj(@o=)w~HhnBf-dQ$nFWh4h z>#4G9%=$4DQU}~^YuPIb0N?{wEdPW`6)bS*EX#~uFeb-z^Si`pnA z61;Isp`n_ZDTE)A2nsRQLEh=UUquJ&gkz$Em^c`3N{zh%d%y2UgSn4j1&OiCUU=)9 zsIPC4_?to6^TU2##&U&gR2WGlgvgV-cu~0ZhYBQQMptN&r*yCFq)aUB&CH&8eHqY*+P8f!Y3t+Pi91@2>v>b!JH8I_YDd6saboh&|ux}|ITFB zXQ8Nm3awBl)PeFG`^3}haS}ODD}|ua|BQVha`bK!RRGOa95v1w9P^|7a0?O?FyBHc z;X$loUM-M2p>X0`FC;ElMxQVgV9-Fv1P;^BNm#4T5CTppfD!HJ+Zj0lY~-B1>#KvU z&klTTlhnC&1>(^@h;jaB)b#YmdzQ|>+96aWK`uLm7w{7CyZ&LhxZi~eg}Z`+1JPgKQ(4 z;PMJqz(br6+P-RTZZ5tDXLjh&AseWi5p4;io3&ogQ6&{h$LFO1jaVNA+jtk?$5gT< zLehnUPXw$RVXpAl^pfd2^V1P`O8eFzKdN%RjKPqYsl}P8mt#(;gPrq`BZn=MXO*qT zrF2wORDL$@#%$XrF7ym9@7@vyA#Fe;R;NTq z(38P5&kyfyzWBDM5$J40Lp@^=lvKRl5ngHbLR=IED7?Lkn{T5p1dPn~5eFIj+`m0J z1kNs8J45%kr_p682G-kr;1t<|SDvw9n0Lda?5;xcAbP;!uifL+U>FFhux&qE4r!wR zeO2oNc8;`q~_zm9WL7+yv{jS%pFSEU@22;D8>R8 zll^TGHa2kEI>0s4_U$~Dt{Nx(vCBc=Z15VH$LY!bx)dSv+#c`pc`*1zuyn;|*G^8nS!&7(wBK61R@1rS8XRb*%; zkx5UUJn??<^vRQB6{1H|YJPq&lVYXAY8C#v(k?tYE5i+Iq=nXq8n!ttD@$1eic6r0 z$jdpIr{%M@pa#S~eIX~C{pZJw3V}U0;Gcx$8McBoaQz#*#&Ek9Zk^m;Rz4c2#3J14 zbmZ`1eZBqNXTS^Eww-BmcbpF@_KK4rER1z8w*M!4!X2Cq{5zzpf&W13n)hR@If3gT zcf41XGz`RNdm#N6Vuy~9HpqCo$UmUx2sJ$_@Pr|?jD`D5__JFe;2DDt>Ae6TpSXm~ z^d5L<{5`6^QYLF8zge7Uub=>;e zmcwNIeDH;g5z+j(hOt4N#9>`3R}qfpR9ZNwyjMQ zGMIdAPx#6%G-WE7!tJ8hf1K&2XdJ%qsr_7`kbc*WiNSX-KQ`AqhDr(y z%P_TD;IvIXR0T;HhVgtz`fjLRobE2QP*x_%t0>1h>MHId+f%z&N-g^K&(;yB0KKaE zZQb4t+h7P2&3PjlkbJ4PWV2ia{il#wd?d#IdDt;1Vpt_y3|H@0YoY?@3ugibC3iP% zfcADjg;ZWXiE}}f1tNCPRCHr15-__0`X}P zF@1c+jkodb#0`g1Y@P78VNX$$?3m9n5V`z?$Iz0l5=b%mQe*VD<%?WrdiB63%}HK5 z$Ma#NzMfJvqCVN49xm=Saj^Lq*d!hJuyfj8OeMxlB_a4f%+kRuBQsJW-Yc`$LutVw zf)V+DE8~=GkYy6r4-$1fK-y=MWE1E}i;;3@qw?^+8IeSmoFteBXd zjg1Yk^BT6cX-=gT**|~kKJ}%>FpD7@dg;fs)-2vWB>}|I6}!unHbAg|8og$AFI65Y z!U-4zf@Z_EQ&GND+sLT@{U<|p^_HQ|+A!Co_k3yPy(%x;G+IiD?omm5_U_fv)lGro zoA5+5s0x+$EP#_%&SJ%6pqy{-j;POl^`&Gu_xmz;Plq&EwgTK=1a6y--bHjyvIkhe zu!iawCkHLqGgQt(B`HwpFzlRxn0z{J;55(M5#DBUdPU7^;-*1Uv17>4OU;w1c_U3k z0($T^_>m)>Ch=sTr-9dP%e*NH>JH(*+|-y%L^~X|wSMH4 z_5cjf2x_{`P@|nv+?}?URw)}9KgKQmG`>u2%JoKu+&T$ z#CB)(n zPMxYc(p&DAl$@DXuOwPX(0ni9Z|X5xX_Ln z!SD1efo}(&OEi{z5q}AWhZK1TIG_!I9ZG{#U}*l<(Cz_wzrqbLY?vr;VHPhm2ZzEX477`d06r>-FN`=E)w> zl>

z6aT8y026RG5XKNMvkJIVdkO(#yS}t{e7)Mb~FV0KK~hpX+Yls${}w}xwtbVu!YN&`Ac=zt)K-^{z$O)FC@8E-@4xfLSdpgHU&P!wSnbrd1 zJyDA^h0j%PDKhn3S^;l&miA=cmmOv_OYR)p3y;2S8lCZ~X|IZ}1uAgJho zmw}DVtZT~7%5u!{sCX;$^yyPjR1Fbbue4NhmGj#?Qwn|+%KSUt=&S~Z;+k%(k+UBt zm4PN-+&OvUx5Vkd!q1p@OqCIsPbZP{ejo5=&B{vU(M7ErHbS1ex#9szETraUL-pbn zKW*me)2FKoJ3KTZk`OJ2u=-$iFsgrn-X~!hyP?x^CPMsbtVN5y#s{Shomh4k@<9S{ zDv@F?Nh;#wSa5K>($cX;_Lyl#U?mW*2(oAb6rUi^NrwWR9muKIfUf6_YB*gt&oK&G zhi$Rge^TpBU{*g$GLm+B%6Z(X^*3T2xfiCOtgHoRoxG-~pr8((_L~-GuTm>2yMag2 z1dSEw1O558eB?QnrI$9xwRpzm@DkX*pWhexHTozsE_d!MtPH;31&t^;&kC7x^7#$ESMQC&GtO*rT|_BLn%aG*7uNfhKo?0?3Ctl%0V6+n2+g$G?|+qq@!@{T7?-O2HCfqvd-g=S==hv3 z?K5&Jk`W&QwM)C#Gxqhd!I(}i5s{8R3jQNtA+NwN#vvW*gi0oFogn?+)zP?4sJ>!7 zH(QO$?tYl5pg0cD3jQCYnEiB9E>(brXR%c?dvf`v|BRHj+P>$WK~yimi$ctInYn#! z-WwPuAhpaMl>Y>v2uYWzm$F>`=Wd=R`sv0K#u&M1iht5)xr>v<}Zi zT_uj~8v9W2sQ`Crg~`V1u9taHpCjnZvzzDfM{RxIEDemlT&zz-!cEY_lAavm&4b+Q zP(+fr@b6U-mWts&`d=i^js@*m{QTT&Icjb_hQQsC-UMDXODkP_)luupB+t2XNU4PN zycQ#D#kljtF=kRiEy~~_O@JS_L5GRt1yFFyuIDRNBBE>_4?_7}ca4CFgjyfVLNuHr zDyOOP+-o#BMiz-y6A4G<#C0t-9u8Qy$ytbi7sxQ(nYZK1J%4sjktk(BtHw5vaPi<3 z!d=rQcG{B%t&M`pQZ0YHc?;5A8xUwBy+tU0YWNPfqXOPCqhYgIRqW@!hS$5qZGMg{ z2sic>`z?8S-Dx}}E2|)9f4s%6F*S3@Qqd_!)F}8?JE-_a0u%f3<412fcWis{KphBq z$oG&41Bm<1G&dS+cBe7G9*z_zlj~~@HL*3^?wRz~djlS9MRS33Ijr6C!2mR?#P{5B z-s*H*J|}r(85aGcWWDN7N%fW`qI7stR+L`O#&RPe@ZH0$oV7JV`-8=t@HCO=0jOPq z!>|nCB^Q+~$0@GIJuU#!>#8qE#ZZy6&Y?ViT#B8F&19G!IcK3d0MeKDptKqVrorv$n*7+Wf6zT~-M@4mw}aR(q3mmHJS z!G&l@xmBzb>0GF+8G>1stUJm)Et5R5?QrqeN@=`UyJc^&E-1S6# z_LE$yBqzrr)t8|ezvTXEU_DFeo+xRo5?gG)cq&NczY);Fs`9(K$hj9$l+AA4nlQ}D ztcd8(&CP93R*k!$bN|LVjksKIbJ*X?I|n0x>F@>l5>Pfq$hAptt-By{9+iW!O{@zb zm$2SkUp)r>2s`PI#;?wgB1Z{ERQ#=-#+onp9{V|`O5lxte_b>$hgc!R`xThZwJ+Xg zVJ7nfqkcamj{js`h?0o&Onbj6(5@Og+)1?cjq9>lIemZf{Tf+}KP+_%zb4zVh0V98 z%GU>xpltY!d8Sr|^NAyUqt2JUXztTzU5-yEKLIWc2z5;)7XdM6CUDWf-YA09C1Iv~ z*~mBwDQrNh5h>+WfE3P1tTSCWV9DSb&oH-iOT=#SIW>}M7CW(st3J(oUNy)jf!?930WI?aNQ_wuEQqr`%5Id^Ifzz&SQ}O(=vW1$hC3^`phHC|^rBg?`!<}h2=H~ABfHW8t3s7_cO}+|ccy}KM{v-Z- zSn7|+rDCGHqB!C8G8N5EYmkF%OKIQ$6cvT>r35}d1Af0y87F_Ux_vL^@Z%RR!m(N< z6C93HQX>vuT=u6nj^LN7k(L;fkL05+I^FIWJ`(A zr6SlQsR81zBrFnRBE5RP_v#&d%Z~^_VV^Zu*c?5*)7?BvMXM{{^+{$*ild<5A`(G*XQQ!&$9w$uQ+8Y*XIRN$9xgf58g634^)l?N};Yp zw8y5tzvpkHJ}g$vd;^`EWu{47QR4eHzO?Fq0&C?Am3vF5n0NSZ;7rTJn%|-DVtXow zdtm~~8lXp6kdlT}Ln-&7-ENHXC`Y7jFi5QjMY&*HTwIB2aVxBWvP}oRj6gP2A)LdN znwIv20+jco{pjhBK+U1qbXQ+r|I=C)PH}3$Z{d5ZI;0;vUdJbxzTb%n*iOGtUypq& z=wx?k-hX~l7spfpbw8-dKr-I;W)}AB(vGNu&m(%_wvens5^DCv!;H{%uX@kn>fKO$ zI^dX$ySaTQsGtPex0ZV?Z{G>3UX9YHAJbq?h%=M!oi+(p4!EhUt*zUQ2?mLTk(Dt3 zpdGJ)9ZCQq@Y7|;gY{tp5|)4oK;?e_hsO?7u>5)MJZDVPw_SyF-A|EH(UBrcl6RI5se1R=ImAQy~JTvnx`yE2lK1V=Lu?&US`4k@< z@1HFV%&uUx?)9~`)*Tn)#k@}mq;YAn<-_E4&sI-RW8xF+tW$--iW)o=uX?`p!M*vw zE{qWZrghgn(IeIl3_Dx{i%#{nw6=2LuSKX?p>p(Lv}&NgEwp3+XIs8<+Tke5>%(j zO#D}3K5@zNHgMtnu6aAd*e_!f-@mT~B`JH&w{Hl=eR)EPh1_(tAU!?(d1N$3 zW_UA-$*glMq!gIldb73*a~Y{CNS~QW`*=3z*;btXRZloCV3}}UX1VQ~%jAKo-2qX4 z*8){4X1oKc$C|pZ$H8qkhI9)+TE#R} zdSD4Km`%i@0_*J07%z1RY~P6j3Xj9uP(5AWhxSwF0M2WW<2x80<_Z%~==c53B-63s zZtCdj9=(uJUR0zDB9X(|0nhJisr}D{z(_-&qAW`^KmA7FfaJYx0pM#cFtlT|t|w@> zZZz5hm=iZXsu~hXXanliga__?8E6!zC>Td36cET*yk#1XU_1SyyXoR;aUz}$lZ?6)VWcto)U5^$Q1Yf$*;fF0n3 zGAnT3{skit8D2xFfW=ASFYynTV1H=ObO*pmJ2&7sUGKse1Gb9~pafe9{OGaNqnBF_ z(EU*-uyfRCRo3M^_4FbhzQ*9{?|Rj3kY$!t4$3n@UA_Yj66Z?L9U$fNEM#d24I;2P z7+okW1^kk^tq!CJ`qDgzVXT*D`eNx)ed$^x{igcMqdY~xoS~kv>upL(ZK0uofxRgd z)Vx7R5MmQ4V5Y>=NXA8*SHA&21<7hyJIo1o?)v82UYQI~2Y&=9P}8-K*ebHWTCQr^ zv?=^P49yt?`|(nS-fIf~`yf7BL2CQz*;Vp}7yt*;K|Fk!lhfz%})NZx|6gDuzz5-c3iTpa#~d?H_I z-%OV?o!FRk8d6tWdDgxI)BL0J!OV4{)k`l2YdZge?Z9HL$s%y*E=P%)1#KP}Ke7sj z+J=VL*y5OcCw<8LGC;Kvd7h_EaL;uuS;h{?tbwgQ4+q;H+^hmo$?6FtzCM(HmqDpL zSB-thWL3=p+$tCB2Thr2FI)IYGP4J@xPL(kG*}R^31@1Vmrph^FHcQPJ?aE<+7`x7 zfJ~PXSmZ?@NjX`ALJU&$H%hy4QAqpVbWQE$gRAoSFu*XA!yfVMAmw>kKTNdwX(7Jf zTztR9F%eLG3923U7pXZ?@$}H8kkV4iI8<}g1rOU+CBYIsu0*7l6QGZ1G{@7s(2?hLSygJu)w10FM7GDB{xQVC1{Tl+}&c?Je2zbozJykz9`BHQ7Fg7wP4I zXny?Eb+3ld0)Uc}TnT7_O*EV_ zqg-IH8L~Jg)7f92*Pz{OVrmPj{HX_2C7bU*Vcrd584$LHV2jxvS8U8g=ER1F*U$-J zy0HTnmdhf6g#fvT`bF&{%+uiXq>qllcfEDE1zd$1EJ83SveISbOE){=;fY1nY~Do zW8#sJxC!FjXV6xZ2x*KpbORxgGFFwm`sdqIH&94V0@a7QXYyRf)d9QPf_8sj>W73g ze0-ovTPn#t7UizWB+l^!W1S8a$bGKh`*fe;|6G0p8f7H8ap?MZl{?0jxc|Tbn&)wl z4Vrpoq84J*)y7vmv>!D&Nf8!MW8ij=Ffs3+qG%_5wug8O>i?5o8#~npxv^WL9_YnT zRUI>uzE_i0b!Es22!7LBvkb$)W#08bH!jXbP?!HOjM%@VQ<&aZD<%GI|S${f+|FiVU z1r*>M6j2Q(Y73m%BX-(_Yr3WGnMtZ~S!U10uF>qIM}3^hpw2%rmF@DKC)pZ=l2nw6 zjisB=G;os${RID&FR^9+SH4t~)7kn;?6`19RfO#2yA9Hy474@_{OsK$-;@c6Dnkz3 z1X2@#v>QHNn2*~sDD1uS^v~d+@a;cebDE-kdmIYKp(xw|Z%9CrCOa@Hk8TqcRD#=z!?p21O@vM$bq@|*w6L#-uaIC*J z*gO^xyf_^4_2De=_C|=FbSUf_>G6P;RNLlvSJ(Q;zDGJtp!bG*5|nHmpvy`{eQ8j< zXa{pg9moG~`Ly<(J9mCg_z$pZd%UFlFl@i)fQb+O%R%+k`ouQylnOvlur*mVJ9n#W zzOfZLYz{4Tf>}uee2ry!{jFl-+CwV|DJjE?7riTX#5)Kmw@$!` z#xc__FgsSPS|VzwaTC1pS_ij0rLEk{15Z>_8|tyrBosgzc2i96^9O?O>qi9 zrK5j(8+T00X2;V3CIdA%-0uRs^8j_DqeAF(J#=TI7HaUpH+5O`Ar}q9)@d8Dk{pH~ zQq`apI$5A5&&6>zCjsx9XX%T=h5qE?r4`IZWSO6c7bz=Lat1B%AP$NXkrAb3M> z5F)uhRe-W^@|j>G2}lzm=<9!aR_^`Lz~5148nunEHydW5Rk&18@*sQ>_j4a<^6#Ya zmOi{8WkIUH!lx8G3?ER7AIxeHOQ{d6yTu}>z`E6)<;Gu)v+nREOy)h#nMLSLec)KR z;XW`3?P)5&Y_(NxZ8+gupm${f^nA9^({fnr(e+&-YR3^G#^CJY>B`vwKB)CviPof1a;!WLgWrFz7G z0-lWW9GVd3b|%x**4DlRtK$+lt4Iw*0X*mu%;_SuV*v20Y=x;JMQw4PW6bSpmWn~J zAT5wCW$-fZYlbrKKV1xb3-jf%7c2#GJy5XIhD*$IyB2Csy*LA{F&^un5=AdiurYo3 zC;%#xa1ztn3L$5TmogOsU3c>Xf1?)wx+j2W?|@|gb!@DW)vX+83ER<|@O%lii~%75 z>Y*^~x9aM%fXe@*LB!J)*^lub`^>z&^J{hW1hk~=61Q7MEpqT)ixu|d_wUD`YVgS1 z^ARShA?Y9Xm}tX`ux{C-5eIPKPbnQe`O_Cp?P`I9+l09xC;Ge_7z#*&amz>+j`4R! zX%Hmad7`}@aHw3-KSABRQV;@|M%M<_7*7Sc)#EWSmg!)6Tzw@ z#@?o;7LN{Y-B9`G6*?~Cn0`C?QKCNP=5pc5W%JKBAwZ917WTJ5Z{Q-F|woY)t2db}!b%L(XbIfeNZ0z?H91|xr4OOnSXHQH4 zh)@}NimVBfcawJEgb|4NK_IV%Ks8XbtoB~;#uHd^%(Rx=yxs+rvf^qW!})_+2!YN- zB8t6yMe+Uafu^$~EV!reLW`8oW}v)(W+DtX%>jitY!90&#TuFmA72s6d1Di)9q#YW zCn{Q~hde*2;sTeO;Lym(1f)vEP)9Iva2LON<|?kjOa&Ci*92S7jzDLLT-INqCx0 zP3i}}DIoe=Igp9>55eF*ouyqMK*bT9)Eaxwv^yBIzV5z^%h_W38gk{M$~H7YN2>aO z_GPEPogHKo87XWR2G|t~>J08=2Z?{OYk-h90}@c&zgmg9hS>v*`1w6ALMBixs=3x2H) zPS5`;BfI38Rv`kd5tOmTu@TY0O{?GlHmQr;onRFPG>Ua~2!d#vM9Ne5o zqOQr}P?Kc@xfli~k0_^K6)t&)$vJLY?C>g>|7vgPt8QF=CJ}!gzS+%>v}LHni5PnD zW~mbtIHAob9O|8%@c8sq|Jt6z=($JGbJcI$IDuDqk{N?_1ibbi-7UNhs*S6$^??cw z!n^g>tqeZQBlirS=N;-j4~!(f`urayK7u6FvTDd+*Y6GhmuK<{+Vb$~mz5lJ=XP?F z{nA3e_)e8vWj~AVd`q@*ef|Iv1 z<-z}h)_YK)23na>6ZPR7zu#XTqCP;>Rbvgd`2EL^wxPNZAREoq5;6MkN=o#J=Asi@ zziPaG{LdOmeLr~Qh#kB%X{~aLA_MLI@WKrtW%RZqXr3%Yo`?Z>8>9&UUKOgrj;7x* zk@drO@I-qCR}+GSXt@JeHpv%ioIg-QuuGGa4up?AKP&&A+g}cj3s42z>zUTOocY$@ zQ6la9|A4s&ru=kGiNUCN$0fp)vt6Ds8z8RezInwe09flKrG9!H%mC}~BFE&xf<+p(Y-yYQVk=KK&tUpqsu z(ad(c7g+n8N@`akElVsWKG_mUI zfWQ2gfG+q3I-CQuKfzYPM&Z3}`R~~=zlRz6v=|oRb&9D`-(UR3E#jr^L#-py_P~+w z9IC00+7Q~AM7pw*!Q-;ouAbBcxq5zTWs69LbI3oO+m=~}cSga#!<8PQV8p`u-=lod_1X;|eW6{nI>G)S5>r0pY#tV%9mP&O$Ux(j)e}9k1?|$6>-RBPvbUN2{uIqih->>)UxpHHGt!>Uk#0YSo=;<<1y*_d8Y5UVo`{dEw zrg@PA942r>uAR_kF7+R$QPh07@`w1b#zq&%Jz~PwvVq66lAQ~mH+jpu7ozVth&xw_xVI-6xMLs z6qtsu4J~NKJ>~C@GN}=cQRbghTm*=-_MLtQqLiW*fq*p`oTd_X&I zb+GY$xIU`R?spDKKAUd$5*~aP?_clBWS=z7`+)h2z2w^lhHqT6$Re7pavBnRLjBB6 zT)HC6E0rQ;dK#O?XhIIHH6$3FVRgC2cknx93#b57TySRglDi2BrCH`?W=E|4O9{j% zlLk@(*pWbwI#v4KWdVFq`JV@cIk+C?=aJ``W9uI@j=c8>38;RWdA|CK%HqW#b0(1f z1xV5Q)VwQOH+ZDp^Yfl1q|h8`J0tmg*}3X3g&N{Df*d?`%a7ZqVfbWb%EuP6Y<2jk zB!gL+y~e+Y8g9_biSYib5<24V5_K1&>0jl$H_q-o$zaETdCRHHwgf;_DaIb+S-NHR z)BAE`k9ETkk)D*-{+r20VaV#2qnv7`ESWG>h-g9_wGakUFr{( z2AUo?HyI{@*_>T;C+8?CQP_U%#y65BnmqOA3FwJH*~b?0%Y`soi38ek<;TQ4eY(BO zLE&=n1zj6^?T?c=tIEX1p%*VL6Ea_*J5i|1W$}>vExuclYt)sXRISjMyy0X6 z2vkl=T#T8K;GAz+wtRVyefZU@bizV6-}K6SXn3-~ZBXyeu($ccW zgqJPi*gD|%V_&P9mhHaloRuB$s4t9mJj+G{Sb6bwry#3T=53Q~50L?KUK@UJ_-*x#&F#iXhj8LCc z_pscqW8=4Q0Gh~EfG065Rf7Y=7v7u+83+gvJqcoi(I(kP2RUUd=N-OJd_`9=0Uki1 zow1bGo_{_`o4W*?ML^f6)>qy7@}{1G(6#&`Xtn?V}PLr;{&gyDE%sIMQh zJu7|n-Wa%F2(aqem#O3#+kq`f_%lRra2Cty9bW3ndvOHkfUm< zQqkBqnT6@mzf$*B|y*MW0-|KM;orP>{|3YP#lJj}ck3a47 zV{#w(#`)1o_?j^aTmW7l?@hrov!`f9m#UKX`)RFegW7Xj_&QIm32^H1>jqD|v5d2C z)c z-2*b|f}RWOaL+1>YEFuN4z-hG$v#h)^~+v*3N2&U5E{8ayuguc^JYK@M>ewT>=XAK zn;?^QMpM=nFz$R~ZuuF5Q4{-rH2QS8Rt{L?i2RdgVnS94^#d5Mjij{JTYzKvDwFmey9b(bRk^)|3~Ap9g) zR0+@Z*Sc>-jv6u(6n6!KmcN6gook@E^@`&j7TztJIJGli{i%~hj|*8h%BZ}}a9bI^ z1Grr!v`AqgA)lvyY*Z1-$$wz5#ZOnr{oyBTrAX<+qCVG^e+_IESzen8hZX9+x!ei~ z4KKDHuNS`R7&^6Ui|R^<_ii5s*R?sIP4u4pJ?q(2=? z=gOnAn!ZT6K54(Ifit=|EJM?U;=rVL?AQ@-0LAjTFVGA@6G3v?mX^e*sHnFP58$c_ zZoc>C!SeF!?NdK;snuUeSa8xVvgNT(R;hHrnOmtRtleC6+Vu|mWF{s^CJ9WMG{~aU zni~&FICfwugQ5cX;%jN~ z&ya*228Nf^uJv>CAdS0``Q0w5p^dMhks)f5E7HAfN-Lk^rL@u|`D0&0)Pf^7edm@? z>K_x{6C844J8~miU-RaGgDx}*YefVz^bkh`j%fe zHUe`YB4ORkr!UvC>(e4OxPNKIwJN ziD@~T#WHI6em1VQOiyK-OTe5ARD|{Ik4k4P)wJpPR4n`Z?M%pARcAuF?BEo`N=T3v zQ9fmg_IuzyBb#6Vz_@dpZzqj3_*?8U+oZPF&aUBP7Z$B;uCA{6T=};8Gy2<)=dmIq zzx^HFTgm%0K+n^inxJHZf8xO*KK6cqwK#)FYwy?cpa_>>Muu_>FhQ>xo>cyBb##O$~>khfk9{C8oitO0}MK&47Y6X8A zwb_Ki{mcjSj$_%=7AfcT2dL%N;9u{&&Uo8KpOm`L0rb!4AQyxE7#$pPZo<3*b!XT* z$HpXbej{^3vTDL{oa5bhJ~<&gu%UP(Ywn_(@sB@<7nevbZyW)QM_AzIvRv6=>u2O+ z1BmS+}zqrf)%;_ z&uv~`lLLcbS!@UUVe3eE)oEGN2db;``&eX#0&_3h`p3sS!RdGY{;*`2eJ$=jddqDP zCs)F;Oy0B4X0$)mrwSq|*`&PDBd--(pb>KF@%|ZUskiBwQsJQso3Q|d7Hmaoatlth=%PKgjpVJ)VTox;d(R)_Pc{8~>7T(#?*38_YPg5)ut(+i(rTAv z|U6d4*Fo<^T#c1Bgi=5Si$qA6^X)#AMiA+dvTlr{_>{*}ac<1X! zrp+Hj>JOEENylh$BxxxZ&*)Fn7KpP9iCSj^O6*@;Pw*ZavrB&#t-sp#A#U z4dTx=A)B7YJmSe8*sb^!-7nQi9yRR{fD^|<{a{s4` z*vHMW+F8TS_CiZl-M)Gy@60OH>pqs-AUgBG=-DivU%E`@V)v!uxcD;5mR&a7#H_?D z8V2nOuKO?chDhDOMJg7Hy!!OYd@cS1q&H5<>8t}V1M7-|g02e>{ZLTTDN4chgxj|P zP}e}G^EQrW2BJ*JaP@++pVhDGrmm(!pUBTx&;drj2T-3x4DyqM+;2BKWEC%4dN+8D z!H7our>n2DJ7beF_Gc72`S0y|V&o0>K{P-(TRa4cu%9Vb5QJe@^kEwH&*h>^ZqFEKZ5p2)S7wt__%R6qfxc z1|fgt>5HndTf0_<5hY9D6&aVKIaQ$Rziay`lY?=6dV`e(?KkSzN=sd{-G(wiSHvlL zZ`V@ddnl0xW-tLI$2@Y|RUN{EB$??A&UhGIKt2FRoFb&jANK zU{9f5e>UkXRgYpf@LaZWJigsyU3uM;8tz{TZ7kL9One=xyxr+h{@1r>9@bfhUf*3e zV!2x{zW%95sqBZ8(es-~UQ?$Ge zrq{x&&TB+_AZKEGq9i}q>Htx*}B)ZevcTVzNY`}HIz*()El z^$Po}+QXH#9o{Dw6^~@Bbxa&{`!O{iF21`9z4K``rNLkvesSHM(eYPD)V1GN(p5!w znF*q~LuB-O3_&A^?aBJQsi3rUJCRZF%mp}ScUAy`bAb!o^#RlDkesTzw~>`PaZ1K8 zGaE+xe5vVTcI>rl*P_(&&?UO~PxA>wY&GO`3~1gVAq+@UrK{}(Z+XS}^=;NMXL&kb zaPpSFX=M<8M^vz)SDyc!vVot~d#FxaAc(RBIboLhFu%P}_wSe&)M5PkD!c=_Lp`YE zx^MM@l#KZs2LAtduNT>r0*lLJ zO6{sF5h#NpujbV^ssWSs=n}2^f+iFu!*Gg^$5Knl1c0SVU%o5{56h@C#Zaww@w`xx zDZ}-qxd#8>^cD5PTKlH{2*TeC=GnSw{L1As{F-3Mq?4a|bfWv#=vC)TvZc4&ip5QA z2c>|FieJChhR1G%QxJ+uV!R&^bj_~tERA>gCGbEd z`JQ%B3TQ_iz+KA0EL#-4yg|qJH$8CK~8BjfP%zZ>6IRKRVuZR*D{tIccIh78><17sNW9Myz4v&wvUyQ}})B~h=s zE+?L_EdJt^3LV$1vhpR=Ut}vnKZbo%qFeXJrL(Y;Am&3SPa~p>-Jw;Xw zoewsPhl!mO5FF)kvxbJ|CeY|OhRSNrdv2W{~gD_t~2Mdx3;#XVu)4+QUL)HrQ8Z2 z+tou{j6k&V#Ph+@2A~$QX{Axum)Dvq?;<0XyY0PLS~{hl+_Pbdnrte;UW=Y*R4fTG z5pMy{>h7B%_tC_s6%4&`N?ait9JH*rZvFU_U(gaKb+{vR|H{kaqk|)1il!O4Z-+pb zS2*xuCclWHA?d^6?D)#bSp%4g;^z1A{pfS=NN7`XEIr`p7v0{s|Lcc*3j)z;-H;4W zPoMN>thKfRNh7OSGE(@N=U4|9-&GGB8}rOiK3D!5)4jtfxTUE9EuZD!gQX~q?Fih@oZOi@A zzRiO$9o>bB#`LIq$!w5esL%Nse-sxhe4e-zo!Te_Ccr+gtQ!6<(U|7+9kTYMgs!;G z_hylp7qQzzNyjR{Bv2n1=&dXu1N^NP2%^#KeW z`rv50EuoXkkS_re4V731(G8P{^g#zYSK~-8wN8DP%Kcd{@_^YP7V9erv5-! zMh!vybsmX1A~NqEv;h>RA3b%oaGo}%UZ3qV9jDkk19j|I$R0AL(XRq1lwhV*it5{) zx=^h%^QM@|c1+IT-b1TqeJ%uj zUC`Lf>~EK>)rrzdn5<0_1{fKYCy1d)*+t+OAS+7q;E~b5{hz<;zMbYS8zn~!aQR@X z1!^2=R?zeo@LMiZ1*9;%@jrH;*W;GQ#ytLaAmvVvSNwwW(4ujSBv1^LO?FZq7!AteV|d?hVUM^Y+`kuI9IS`AAG$w9Ma^8R$R4$9^H}s|Nk8Rn88BUOUdF{$XH)#D zP~lym>#K48$&M?r3*YSbI5z)d`&R$iWim%{c6Xnz&uj?_47AU$QOo`0lkC)hHn{uP z+N?Q$zNk7MuabjXNB(7|s@D4^xR(T8|<@wf9$H(~_uI*`*t!ie4i5M!a_W&)uC0c6U9vQYXuEqZ>$P8(VhGW*%oW zzQyiQg8Asv+2jGiN1rBg-ZZBkC$stW=Q9Im+G+sXnYPF~X1vd(YG!dr^W zld&LyOma`5U~-1Ridks7mp$y6K2szJ79pX_4aAvpJcWsc(N-aC+E?4Oe|D~kWUh&P z$>qa`vWh@19T|h_81U*#aw=to(hcmr5%h zMApQwxPrfn4=GP#2y)bBy--B(G;p&88@XcC5xh{1D|YaO;p=E_&+?ngzLgEGIY6t? ziiduZy^B7*6->dXgJ`Z3V@aeMoI@$*#h0VokNaCK3$6RQG5ij`N7nCCtxjZ%6ZQ4i zWg+{8-HdW8og4Dx@{nc}CXLVRU!PGNf8a}%^g@r!1BpHs#n;rEUK$%EP|Ml5qn{f;+;f4<1`|F)*+ScCDXk-wx>~IC@Mky8Qj&t<+)VD+&!4-_)*P zlEoj`t961Bv5}YqaBny&D$cxF1|{-l*iL{ADK>IN4peNe?R8r}G&JzrJT3g&a?IW955U5aapg1ojOzMm{Nk(Z(9!Ad*gBqfB)>JT z%_Hc})Kz)A(9BHMTY|R=UXF-Jy6KR^T;Jdv!a<06Y}QRs6l|vs*Vmh85BYHl z>`*edgUgMz2?DxZpDT8(3VU-XB;V<_orM3EM_FOQto+qlu&5wi^(1M6lgn-a$Pz@& zbYsJ@m^;t=V@kSuGp^(BU<>TdTt}Zph|iDD`HnAdWtnSk)ywa^ba6@T49D;<**+q? zJn0)>{RSEl)c^>@n~XX&^p?!XP`TA~sx)ha5p##Sv7lx^Dda3d8U93vq@_+4m0_h)QY=A<`7>*0F1Qvzn$MKMv6)ukgu+%a} zxBgMh+AE49^ggi&`fVgEEN9~B9UACwEiXzqUiS7_(?)#DlIJtsqPS2wKpHT`9ZWJi zD}tmLY(OP5w?GF=dVxO&n|Wqjsihw4J`R(K!_0h2n_qBpx3kESBp?wtl2K+sU@5wu z&g>)i%>KAky9WJX-oXNmsuR5a=QPim5)rzGImdIJ_L@A_mLNtA?2{k%gk$cH=E>*x zL~%_j0x*r+NLUTJq1?GRlr z*R?Y(N1o0?b?O4-Dj5r$el7&JQR+XUJ5-;=(L*45<)e^b-DUKPfm0;FT@;pd$!5~{ zHQ!~L>nLeF>I#rhlX)NV{?-+MeNKA{@g$aMiri>T{(T(T=5~l&L|KTmFkRXbs<-KYo zQ^LJ`^e!2XwWrrFed0N(Z+cvO{5Do-WTgEu3HnKl8uHzMpTR7fH7z7~hvHml>+mc= zW^CqXWooW_QxE;7@89i+J&OBh9DdgIk}dz0r&A+@ZFqwJXiM{TbGuRynpVN(r+FoIqw5fQ>1r{{;qK0jZMeL7Y#tAzUfAi=}EMA!5k zUq{cT=~te(aAWgxn$jq!MS{&h9}dQLJNrsyQd`l)szd``oJk!qw9d&g8@Kk&Eu}pi!zIALP@1<|jt`qW@vwwikNmeF zVykGHy`s9p7Sw$>2y{?BOymi~oVHgd-|X%ICwH!pP{+w2s|B2pQZVVHF&`5t3>zN7 zY)3(>aI`^2;Efb!wE*XD2)h|FOrfSi!K1)z)R0;+q=P}3`x|jBMF5Z4F=j|DOJtX;sTP@g)q)qWQ=#a@B3Oav^g@nCDD;T+a z!=Bidstmo{3E<*MRLzo^MzPOz-ki3$o0Jm6WD$9pVjJ-j1575E@b91} z)&@b?!x(3c`*C{>C0?D@e+Q z^`xEDgdle|3^xfcN!W6a0(~8^{NUR2(bjcw966+f$yyUCVvV(nXyswv*%GJ$| z&ZAnqfcPRilF!okc)51`^mw;yDoDQ?P%u2ay3&061}%{>d`BwKkxw?6a?oIAkPCHa ztfD>L19*s$^NnQ0(gZ3`Pr=Q(y)G*iZd3QEJ4IbJG`Qk%+uI2X5r21Y+=6r;j@L%$ zd4ZtHj~PBQYI#j1a{zt*qB{nG%as-{m$h*D7&uVp>{-&yk zj@XB1@`n_3(sehbtQStcKkoP(A;Y6SX`~?oBbGv06G57`?vJ(qVR3lfO{s!k>#2I6+T!9k3fD~P_AYHs3nLVLo&5bw%iQ64NL+kj1uv5bWp+{T6~7M%tV(L zTzlve4J!P4mB(9{Iz^){=1dTj0*qV4K2tg?`G%*CNB3H9B!Xt385xOqGLo8ONOAn# zFmJzhEIXa~t^XK3HW;y@&LLzsD(wiZlbY-f!=|m_?hc-ZwW#@xl zjVl6L2>)W%^Hk=;jc;Twh^K;x$?z&0ahUOw^VpGQoP?1WA$u~tqn1DB5fL#4X%d7U zxB^h_5os65Y6}{WILes=5@+n)?*7pr zCU~yn#tp;?lMo^jIg;C%%q!xN-otHVwATmw`Xv=j^JBDa%@?VR)V`z9Ot=e~UN?FT zn&+eEtRp(B5?SQLEFe7@aM?_<+cLAKkn92)viFmM)83aEqbQB6)R&%ATn z7W2c{ykYZEj=3)$3kdO|$k9*8DTp-bRNhf!ALPq4NuqK+6PLzw=boYjTmnBw(w*bf3Cx#A)0lLDxN>S`Cn(qr zv@k+pgqpi2l#B1Jsf2q!(&^@{uB|}?Dz5bnFCRH}aCMF{CD~FC7P09mtD0^=PUoXK zaOG?6^!{!)DP%P`)L>l;y>$!SF;|6LNsVx)vBKKRs0S>A+u(1s@Jji=Slh(gu(pto zfM$^JeVn@ytN>M?AfeWuB;e3@Y9pf@dex#y!&*Atl=6FtVcZrRDI)7#d*-naf5 zmko<#fW&GCxGd#gWaYAvF>^kxhJCm?t+=oca^_+KJ?Z&0F4Eo!GE@UjVHD7>P>}#x z=9b{iKQGYYkcecBsG@z;(!lHgRRQ8Hf6C??kU5~;oL1h6T5W03>d@P_n~o}&{X5=5 zp(^kv0B)u5D+05p4f^EC7HBHk&!RS=7*!dN8;P|({9E27rLITF0j9aUm+wYkXz21% zB77N69jylv>v;bRx!nqf7k*o>Xh?>^!=M@Nis88bY$_AH2XmXYW}r#HoCUhu=kd6w3l%+8csjw8Bku*SRG1YswPC6?fjEg4Y20I}kB`S^4pP(y%HGT35PmS> zP6m#DLCw!apS+<8AjLl+&P4oy0*!L*I6>=r@LCwdjMD*vk;&i8a%`x6u~C9+Vr|ri zFoDR^q?!kU%|G@VLqL;uPP?P9>wyrw1`|L(DuFh)!jVX<0zpysggRr&_Nl=9J$KHW zSju^35nXDO#M@YHL0*i-?MG~E?7uZsZzY4SN^t26&&?<^S)eLf&{b1JR!ToEYAdkD z8q^GK#Bt&3geye?jB9E7qGUYU1X}XC<&OKDbQ7qkTvT%G_uAXr(pP@Jeo(VHLdJOZ zg7m3;o-s*VtuJp|@RemMu=S4hvdONq8hK~ypWbEaJS!}0*8+_hH_r>az4^u=!)V~t zL)JF=!9rfG>Wus2{=NQ#Q>R~Q8X9{$bnC=m?NFq>1_}@|z))0FtgNh*?^4*Vay8d7 z*HwpA`Tl+EddJ52=;*~q?Q#1RH*Kn7v!zpO5}h_A!Px4kjm!jxU{Rw!6V-SUYggngcOi=U>;Bj8ySa z{^>k~FaRvoBgv0aQgk^szkv41WCWfz1_0Et1r39p0OGlyJ2#f!du^QP@-!#?@H=Vf z%>x4i*Id_5+nwCr-ED&9>FCj;a|H%J=Xzq+WwUoP^+6X96cTb7AM--6sa|Ji=g*PR z_KuGC@DGq+qSGfjsPvoIl6UViS@1AeG?XUBR>*kts2zJcvPkLs>=(IuDAhM}Dyr_9WuZ9N%gn|nel)>gOW?&t=$;Q#U z&=L>jKj%&`VGv``K2p<&k&gT{b{L{nvEp*hOZ*3o%iZf5E?kgP~-8^=}F?K}r zWPq!ZPs!|`JzeipmEca;lKtk*o1dQfxE$}nE;;znw6eThu5%0qC0Rrazs8+dm4I8# zKYhC9bBq)zuL$f=yvE0rz71pkJc6fP5mpVAqp?1Yhd>?aaeqE(cW_B8g34dott)X} z38nMC)$wCvV=u1NbVNGo;`tTVao0hkps1+GbGYxwf$w-gJz?;8C;WcPmoG$g6%E!R z`T}?tQVJMYOVKlBtPa|>><(O>AiLp`v} zw0CwwH5jh!{d%H!#Bwwb zhF-njbgHVW+oAKnGWc%%K#?CmNV^q4<-hh0fgQ0FpS^Q~6efSk5GF!CtHIioU%mRr z9vzHE^f2(|zF$52hfXO&8T-O+9okFJEB81$rlP?6((l>-sdy?jM~>UM{?8W!TY8z4 z)Zy301_o>64natZt@YKMoSX~pQjqU`cmB4G#-+==4K1{}BY(q(#bLr>TNwHg^cYQHozd4l7X0!Xg*RG`!2S_8?%JXbv|I50S>8 z^oMzt!_$q2(#@oH-ZF&XVEzhIF^Fk1Q?j$oV1}#*zh6`jPn#d$6TSCTE8jv8-sA~f z^XAVlwSI__^kt`O2PRB8OPU0%rj!iJtVM%LQdU+LIWf1lL|;Y|f4l=I!;|qzKIz0{7>PuymTZl^Do*U-lncQNQ)c=>Yu zZLF&ipTAU_fO6 literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Medical_Condition.png b/Vehicle Live Risk Prediction/Images/violinplot_Medical_Condition.png new file mode 100644 index 0000000000000000000000000000000000000000..d4abf76aba0b61ff8e91cfeb72de6416356a3497 GIT binary patch literal 42880 zcmeFZc|4T;`!_tIl!^*hBD9QDr0o0BiloI75|W*eJg9n&hxVzpW}ER@8f-(Z|>e!J;=h%f_(#_Dy1uKnqou2dsj~%2)716p6Gzu4HjhuZTR6Me zI68=n$cTsupRjgyed;22@uL0zbAgDXv(?2DRQfl#$-bv*1}-QRnl!W_hj&ueKkvmZ*ZOKDt7dK9xe9Z!B2ah zl$T7^e}7iw6P24MQW%jR!guY3`NMx{s9kb@e>nF) zm$3ZbOa2d9mxn8*y|=Y*-ww64we?b%9dqf7nphc(zF=7TZ1u50bb6WHAnT^pg@=`Q zqb{VNi?*=&{q-e|&!zkNQQ77L z8T&;lRoDe@2agUI%I|6X_J-Z<%kHBGHfz<;smk=#Fu8@Sj}p$)YFjkl5I)5Rf{Cu! zXc40vHMH1f2;r(9eaFi?#LdI^%xjFMVYEP4^T*$ffr~#*hxP5hSlczTxjcS{LKR=G zoC-B^a5OXf=uk(xPbeESJ})e+bNTY~j9YQ3B^`1ataKP(s&#yO}iMYMQ>Ooxle;(aBx_!PJTCfVR`jx0DUc{A?wqpr*}t(A~}WbOVRc3ZtX{ zNqqWspWM#&x}+D;nzm8V(BFEoA#Z}V>~UU5s5j0kDLY*w=1ff-wwk^}+TfusCmF`FNBwidoi1Ig=r*BT_-oKy0%=b(s z#>m|uh8Cto$%=pf-fi{!Q4Q>k5bpGQA8#BS=}eY&nN3l=pO>wjxsYo@%R$d~U1jV4 zWZLKo7uvz}tLc=*z-g=Hoc8z9cFm!@a)i=eSJ;b<#f07a|H0Q&mwUl7*myC-?v4!s zjp(z-Sr_}X@ANmaDJ$q`x)1FPW>15)4y<=77Y6cqsm&#N7?0I&tY@ zKV#h5c`s)1^H4c@t0|0sW!vvKY*f6QTMn!I(j}bV4o!~Obv1FSDTF7}X{t#eJ*2R1 zBR=|~NdYpyqsGrZl+cFE!umbx*AxHUXxkgu$nx?E3)8NB)Hu{7oh+~-#lpc{7=ejn z1Ff7+Tk-Q4-uV^4X4@7kDhDeiklie@%%XGk~lM5Ny6z=Y9&nbIQCT#qEnN&C!6*kwcHu1=<{Wz_A_ioDA*u(Zj zc|AYs=tKf7=;*}(uz_>xa+9x5CoETD+@e+%osNn;#Qz(@PyZ8GESzhCi_O%0pHby9 zxA2^q@AWACGb5WdeS7Qt`SS}KwXmdk_&~?lIB9Kt-EFC;c>(7!L2w?M{2nA}KO(Vv z7ejlj=vBYXM*eC{?Q(Uc<4CFc1ZAKCzEO~uCmaJF2a@7EA>=Yc!c}DxpJ@w+l{5+4jO53aFJ(X^VN+oKEk&5 zO6___Ln8>*M@}hvqH z>CHGND5%=_>R|8EaETik=Ru~3dliEZQ^&4X7r707r_IEe4Ezq{FF1Vq##y*@syS?M zJ~O!>BO}9j$9^u^uO3#6)F$3Z%+(yNaEwXg^FHFKu*xq=r5J_p*`U-A%14Ro$vY1t z&uD6$IMgLnSbIwSL6vj*ZKW-9SREmGc|-4&x(YgMHhFP^36+h+(FLyDv8}5V#D7Rn z_-G@KsWo;Co11WMy->Y58C2HH=Z#-&<{yM@%Gb@kKaZ?2a+S6{Wo3u%SO?cUD7B8D zll^w|LPA31e*ep^V`x~T9Y+3s)I?3Iuz$y*HG1C8gc@&aXXmybih7Vwj!6Ao=hO?--yeAd); z_4G8bN;IPO1(W)*c~aMKyYxg}NvD#bxK&4A^3JvuZ8gkK2ZO0&m7P8W2U)el39;Lk zM~$z`2cCy_d2dNh|c35%K~DjO^OtuvKz@>h&NU9i8dY zlCm;gdH1C*a>EWracer#3-0Ll=L@qP7`5V_VY=5$lwRM!Kn56InMt$bXt}1#Tt`2I zh?MsZ)#`VYX{DiZ3uiGq)QLglM2j?&=SWp0JARCqkYi@93)z_qq4LXJ(hXahG=igF zZ@->NKH^zSs3U`YBO}}%+tihYLc4;h8+t}=QAu74=h~AL4Ph;uVnn8kz|GgMhBzXV z(l#@So`M%9J>rS0of+@ zBj9_c$y8F^3g*rZwP7ds?c29}VT8_=uPP>f4V3;u;#%v)MPz2MGr9AGpegcrl+T4*>B67TwWb0G;!SZ++TJs!6m_7nL6BgYp!Cv zkyXC!xciW42Tjs$fJ@yH4z0w8yFZ5M5J|b!XTb;wq={7sr|`QLtUyM7e!GOEWZa;! zcl#17UDF~do;=~Fyga9{`75BK%7nI{*N*T0s0nsea)E;-&Y;9H4!n1q8v1dt=qwV! zBFv3FXQGTp#k!iyMqR0d3i4KLQS-py;QQ@u9~XE&%x>!ooA0ADn(^kRB3@T*ueDCm zI|pI(K1#`3uqHg@XCx9SqqMXy!EL~xiOcNk?@#B1gv6;!C1JfvX2AwE?)j@!n&sDj z_c_gJh#^x=pdK}Hjerkl0Us?4?nKc1dIkn8Md~*nmypN3n+fkPnZA&PcuuA1H*C*b z3_-60G9xW+^3(9Du(X2>bj}J|kH$sGXp1;7);_M@ox!<+zrkG|zBbk22L=(0b{Vy= z_|98l-g4x0%NV$kj`Dr%XJVI@o|HJ?vn__9? ziHW6}mHG}ESWQb?oOtG7^Fk=i&wDYyBEGy_s<)@-@woSjqRX%6%<-aTO)@L8@jBu}@_be)*k7p}9F-QPv)S z4svsHZX$;jeU5`=9^CN2$-v{O5H&WQjRR=u8yg$5ctu!SbH)(tOc0C^mT21v$A(L< ztfJ-=x&Jz@{LzdY$Cv8B3gcy6GBzgsb}9)+A3l8^ENYZ9j;T}fAniD&*jJ2l zFGA3P_-h<9@dY`s+ncK$G}w6ppd}35flxJCv8=ShB-*|vN4??=~@ z@*U?t1oHJP^yhjjY$SS&ck4A!bfezA!|%{nb|g%{{>xBy@9l=dNTt(9KF{gHMo!;3 z&tJSa2p}yFj{U8Q3Evu*hkm|C_fRPE;IU`O)I_R@&+1F1t!ef|@8v2i2e}3Vz%(m0 z^>NIE73#!c$T7Q?0a)C6YLaF3a^jiIBNXzS0P2{cB@$KPI8Qa6~? zXo-D`1BQi-U!O$XE%>4~>j2nB5B7VO5tWIUdVtCM-<`T^x{Ksr_iO zJ$ZDb+}&?=?Tws6RXls^8>f>~=3#HPCFFzsSU#B2sQ= zF^jiw?0N`8WQb4q49lN%3&cE3HEn!F$~D5BJAb|h;%Yv)14B3%4W+jI=aD_7EEalH z6UlQPrYVID9nB*RgA+S+a?Q5!Xr$jr!ze2JXY6-g)ChnrJj8*4o$byY*taVPz-3`! zNodLOdh9o};&5OV0EMLU^pBG^jwWaBBrV+%>E~|@WQ%E@nqQqbX_HC6aFtYo2x&J zs#=eoPjvcrSQR#K5i-v{Kl+^ChUfO{!>9LT%wj4-7BYRW>cF2vjzV=r~Y&mbV# z7I5Rw_I3ivDws#QV+*HIfXR_=;1@tr54=WR}Xc|HPxod`2G3i{_lk5w`z0~~gPNyC0d z49#ts*KDO>xq4B;kG}2T*93Vcg|-68*oPOaC{ZN7ylgbZ`BDiK>cma~xVJ@&Z>$mk zh^WZOUW;>uAw1FxfM}P=&ZaHVF)^8ptTHNL%JgRs1w@a$!6Oc~(rGF|J!g+rJO7WV z<(wT#;Z9Gj=eldVHCI;WU?9pz>)@$okA}5 znvJv4F)%nbSXWm9#{D-TfvFbo%DcPP6nL9-D3TxY`fmQFB=2k``?5K$dezDO@@FJY z?9e8#eKVeCeuXQT74Pa_FZL5hC+O}f_9OKe?=bex;kx}x3m)LT+({&9NQpEP z<#bmXc6`Gc26yk?&A27FOGWGMWoCaaSeInW&ZPY7LI1RH^;(hL&ruk*1(mnn_-;?} zFG6C|i`W}sv|{lUkHcMe_j2Ejl4OCDnSiNiLx*kvK>4RbWv(EH4NN}$FWUev99dww z%g%tauxSuB_28LExPff3njohT-i*_o*ldy}hB*3s95h2RA|A)udxIu^b@vO6^QS`P zZzC%OIFSfA3l7&E>9MB)3VdM>)$?bJoLdBtgqz5}v&x^7o!t%al-hrt+Qj47hoHo( zY>GOF#h1+`dFNzg+(7cIf_jRrX0nnILXq(KZ95^6L~bfrywtRD56-n$6X8m3chdP6 zk(3skFv9TQx8{-uZ88%xu-GHuT<0MX=?h>}%2KAy--%cBE-$EFI8Xb{=GTS5US#;} zXKr-?bdjb(`qrHuV=VV8=xhyTM>>3P2w5fs{UZAgiAN?9M04-w_jLMhh!g6_<2aF! zav_mw{3*nfPi%E~NH~ni@VfQgbE3{cf&(bgrh&H6n|1GFDPpk?O4Z@iB1c zh*`iSq~{@&E^fpkG>aElsT)EBL726*v2nVefgigu3PCXY#fx3Y>}{>ByV!jH1o)QC zA&{C}PgX=?TD-hR!Hr<95BY`_3oz(@0GyeC7dqz$#sLt0c}Anr$qj>ue@CW+#QCOB z-dr$Q{8X6o-w=hsLmH)mK}Acz(N_+orU^m4BEsCVBVm|8?XB!T6%LLPrd$V-n{mSiW8S@<|9Ff>-chm%m6_bDt*>tl z*gg(Hv9RrJ8W-z0JjO6&oK?o{L|ZuRZ7?bazGuIli7}{AiQI$me{nrMT2o}I zrh!46ECkXvFv$cn->p`Y_&4l=@hT@CS+>QRg6F1Zjt;h{SUFX^ymE3KfLmN4AiRvq z${}#a;dR@q8%(3-4+Mp0B1D^bBTW4r1^@&>2!fp*vu;q1VRB22t@A1 zg)7uuwU5=2q+@NO-@A*spAR550dX^WDh2?eX>L6Z zEXw6G19L0_RGq}PN1Mr{noqff%4Wfykf^sCSS4BjO=1s8=D7n`3Vox-DEtV zg5~qVpEP>*`=u8oLs%RKy2Z!?mkybQi87@-?C%H2eGs^W;3_~jaZ9r(e>4o>j8qEy z0E35E6CSd~LHJEJd`)?{9i9fK8k?4rlY_2cYAJ?u?cm6$B6hgz_xYj^3F?z$iwH{u zNxg>sSfwZo?}&tigiHkw4^QOKku(;Op=#}=@5e;?P->j@=F%uNw9>yHAYdU56MYVN zHa%lc3um5x{~awd3v{U|D!Lb;c8!m1Fc+6sRb^0BRn_9K=SUXtO8x!)9kdIE<>(?w zRM+!6=%<{!T*iQQ_BA0$cB1_NV|XmHXkt<>=rI z?%^|U{FkNR9--rBu{tM?72dnV)dv|!_BTiN;Bj+`I3EtPRL~|+by!p6z<2uqc^`=UShTh|T0_g!wMLPTbGb`4MNe1v zaNEOaKxq|eq5etyTp9is_3Z8KDa778k;4)wxS7#j{IaFqo!0fQ+%ZR;%DdlxRZKXc zBur^PAig>pvHDmr@VL-9jcz_&R~L`KyJx3$x>RSwA~|^1q{RI4(n9~RqFS!NE`59D zd?k*WXHaqjDt3U~(mA<>Y9c<-qE7vvM?! zRP?svc{BTAjgwer>z6)UZ?O zpHtNYlyJVfgo#Hip7+~C zq-$jAWkq*+u|bGKy1*WU&FGqTs43Dra9-PqHJqW>VsOEP+5c|Qp)OqO@_=oivpRPa zFXo`k6gHxJGFm^#bRzS`GOJ;QLrBd;eGeZ4Za2cJsB1YHXV>yM#?acPSx;~t0_O&s zSFHRlY_F@r%69?-W^o|DO+EZKaFOCc4ccP%R?M#F@rc!p8jV#rP88fd`)+g3Nz)~N zheE&c;n&+@2E~x~v@GzUu&nuU>JZwZ;e@3j;5>zcApyU{_a4baZs3J)fJa%gXWb2wB9G zj3pFxyFOA=e<%90o-o*p2X6`kEMp~#6+em7B}#@{&%}LocqR4?Ez$JBN=n{; z&UM7N&qi6S6B0tS`cJk4+U3fH%~LnZ13h-h`J10a4r@&rdl#;eYf9&a>WnK3ocV|t{q-`jT>EmT5ARebQ0fjPWIrI?!2|NHxihF(A#*b8!exW!fC342 zvZhjlm(#Uc%BmcK^cAhaV`IF8FNyw1!%InGiG{rf7EAf#nhkbpW0ncncSp}^m0#2Y zIxrckxu@dypqyY{QA0Vh3^+wVGs5cU+uokd?foeSOBr@~*2dnRpugy=Pi~Gi?f&J! z>}j5nbRO^iNHE1J12_pt!1c8zI9*$dB~tyJ@F;Acf6@u0`iK-`Aap>PUNG55%%MT_ z#{Q!su-9=&9Sh3zi@>b~%V$8yLUI(KS=44`X6C0O?+k$5vTqiu`MElI2zqZj88{3E ziCK7d+kboCFL-dH9I@|Z`r{&7Hk&B25f3D$w?A%^H7D+ z0S0+{++SS7+fkp57YW7eX%IKP31u4@8=ip584tFAfP7b#>`{1deCGhWaO#)}I}COMdG{JJW96c) z82zuEOvyymv>K_atB-9!?rmiP?pqM&8&* zm#;rbZhme5?%L&*Q9Sq0CF9eX*G3{uyB%S{J_Ks+0VPFbTIh-KxVl7<_PFoH=krh0 z=o{3lAdgYd$Y(%ypXKa@3sHS;8$*y~%juFJ#oQfm8E66Wvs)gJr9$d3RX-N&zpUhr zFTeWCD;YL6BrVio2?ud9Vo(gkIL-s=H!MFfR-apHzSS0;u)8=e?8G{; z;)Mf$VA~^dDtENJm&)7>^Q+dmRUxhe)%E0){@)fpGz#u91f|Hj>Xo;zUO^@4&iC)% zxs`ouk;8^mYY{yIq~JO49qSQ9D+k3lwEFey*O8*J8*q5m-(DX+FCsF4lueNm0V1}+ zk~(k7Lkud)H5I_+J$G35OuHw0SXatZ_ujqVMBB@h601KIgR(0@=fsM0@I7ozH3>Td(hKA^+A70y8V&;VpDY0+fIYwrU*YhJ*z$d^ZV0fu2yIoHOA7?KtY zEQ_rE=s76gIgw(O_Ecu6_8+geHdWYS^lnZJE|_0g>2iMK-C@A#FTSKGM5|Uk$8Scx zev>7uUwF5&UACa8?6y*&iLAlyHGSTX%IhT`3;#L8$`r2lpWy3}T~H7$dc(Lit82o0 zcbSYl#cK$d$y4#Kn5=DV=41863;pI|$MB2)`X?Dc2F1bha$46_Y-c%RyV%?&Hn{ve zWt+XLH(4=L?a3bp)`3OG+~pAYv+LKKCFtQmuy)vgxh}wWNw=uG~Z~lAzFRimJy{)cv zcQ@QJYZ%eeIN_~Edcox4is2DxOvrl2fguDgUqOq664<7K&v@wf)xYi0iVPUFN6 zg)DM*AFTe#e8Ingw|~cIj`E=#V!TyF0+QPN&GP2%;{1`ws%EIbi({dE?FW(wmuZdV;@V zmnfd_Jn5~0alA*Tk3#+k4grz;yBKlWeC{3lIyHxjQ9GGe*sa2J);dP@nhIKxX^OM8bHg_Gj8 z@ph(A{s|ZZ8{sWgCHuyj>13{lCxKW5aN_<0k>bAx1#AN| zA&VwlemrzkpQV@@U(?{RMVKoztO#v5h&u8DkoJcc%OdW(EzI2~I!T{YuEE*N&)0;M zhi4(f^tEh%fsb2W$iL$CZ;63Ki!gbq z-J%V1?O5`Pv8Tx&x%agfpUu!}^lU?Ahq2n%=gPvzxw*L$iW+GL@mtt6j=I-&dJ_@8 zOMHhKovHGbAH0>qOm+`igd|)FcP%7=BSulG+(=2JFsywWuk+&y? zJ@2jivX8d;BtNrFi!c2xdS=7yh0Hm*hy>nQ!h(E{##s*MB&yLtd{G$CP~m$K*QM)1 z9;$ZBjgOC?E(^ZtLX}Q1Jp_J>BKXJc zabbvkgte)Iok9_4sEAtCZ0n=Cj>2}n6vZ!_1}^oCz4oE`Wb%xTb0#^o&x82GEzeYQ zH?Du_tyK%Evn0$awUTJgJa1YhP@G36CE(ltJcQKY8)97mKKK|3<05W4U4sQit&68a z!0Bm%_h~Xq8%y*F-$)+@VcfF|X`<9CI2A@YP9o8=Vdv;f@bP!eCH$GGsW09zG8~Xa zY-=Mx3XsBp=Zngx*G2}G?&-QTj~eTisE)=fvQ#v1+;sUUUL`FlDeCRPotu^Qdi+Ne zMRut&_hHMAEFhf#X9e_2pkoy;kG z$?y6|H#bHoII#sce=4MOiiucj^z2Y!8h*}6aQb9jX?eLVNG`ExZ-FH_bq{rlTbomZ z!^HigB^NZJ*VnT1@{UhNKmIg)vifQGuIj#`Bso7G)B#CkBm9^7-1~Dc**)rX`Jl|* zwYacAkvWq6)3|wjdU*_k8{&UTe?6m|HOCnMp9BV6covIY4U8I8B<74!rVjL`lNyd}MmV%xb$a~gf z_>M02Xh7z?PR6YqBzi5q*u7r@Y5*7XKdCfvN$&Qp=Q2}{=B0yAgqZSx3Cv+++6Ob%n&V9VyOmZ~DvADVb$oSn#z+(~cGnE{;hpV8n(%Y=lq55T89;qk##2bquN_VMS z8+H)v=Yj@KxNm4Zsiets_7Xuz?hJ;mu&1$(?E6WXoj6x=*^p{B9Ci?O^(Ep_Xs3^} z271dLneSj7a{sk_k^1b40fk#hq53$szd9&tWni=Us#j3}siVFZK*}Igl+o%T`G{p4 zB!pQgOQ8+`1^e)&17W%Q-erD$wGyFaCL&SNnv)oPJ1npi8^y_cy}pFEj}XVabW@?H z8H(6wb<&0YfVF3^L#4{mv>_1b{>{<-Z|_zt3E`H!iPgc4>{L`ey_REBSRHy?)>&=j z{op?OhCHZVT}hY(J+Y znHM?VmbNUe=H%r)xy#3n@SSIcN_!FU_z=D`Z@obsQ0h9b1=X+o6p!jNX3XAmPT}q#@q;or;GL1a znRCmLybGSnYIhKN!`N$Hz<%_*fBnazD~H+dJ2{DpS2C*YJrDF1K-eM|PFJDjhiMlD z^*#6u$2*eH#mz0J-peVn_Jmp(bR4mfUw3d!ZWObdw*h%GHjNPSo-=f5d$*_juN9a< z_qf!5fLIg|zhe$|qr?495v)t<Sr4qMrZmzrq6R70Du5Y~A4@@2rl8FUg(AkMZ@-i?WPP~Oegt@odor|hA> zq7QmGn2Rh>UE*+91bp_aCDZkAm%96$npS zlHKDz+sOJcq}QbR*7AD}QO4vqp9^X`lN8^7xPv)W3* z=yWlTZ@NU(Lt-y~#+4gSir&cdL#l?uX!LW%WB87L?WxDlaA=xnXWY7HY@Bo@BE>eo zoON@1Xx}92#J#_^SkT(URb6HEDI)_fY$D6J7e5R@6V_{RkpMvR0RFy)M7-?OP{fA& zjF#|G=U(_lf0Fm|Ih$XLA5?E$(>(}e;eX&|`ufo0CT^>O*;zd00b_QGRRzCYauBh+ zm;HO0s~o>g>k3%|>uwowftrw)mv`BY?TDk5;M-ig0xiQzU0GRKNZA+eN*qL0UkAV8 z%4gW7Kh-v)(}iJV!|Qa32k?F(ynWVC)|4DZv?w%H>Z;ee(InfZ0o6dd|RdSp?pbOyyBF+qL5f4=ypF!?-@CnN~0Xm$V*qQp(u9w z^BFq9?pA;X7?GfVxm&UjpG(1v4^T*0edB{FlYlt6n_@*G{SJ4DL%oUin!u~F+GqA1 zrgs1S{eSAZFMV3idxhU`x-?W2Fm?(ZugG?J3UHT+m{Rf`5Hup25!*TE()7WRFz0Ls zMV}Y-Kv=LDjG|J2ZK%94#^f|^t^3kHscLB-s_yODzJI^4%7xZa((wQoFCV|7>aL2LJi0*ap?L z8&=`4{A$dqg~#x#wjRUX7{CEuz?Vuojw=9}8b5%)Y(do~AU3%=hdL7K&pP-iccy9W=QEnq zXt?K6i+{C{F9HXU?f^gs=E3)L_dC9f%c`w?7;VvFTSifi^tLA&0y($ zM|#@pJ60GQA8**(?j^_k( zRU*{%M@O1-*dg0wq`Cj%-e7WST68&&PZSIZkXKl56Ms@i+t`Or8Z-0;nqG~oEW>O~u5GY_T9-OYbyk?7QDm{+2Bw*_D-pGfO zoFl52QtX*mlnAet+2-?skpt3;MTon{j6_uGIx}@#W4EHq5-3lxsf+IePuVN-Rir!Q zr&*K6rhc1=`G1>AWG(DOc;{vC9Fq`gBay-U6B#aB>zqS zDFe-D;nv4soWEC}CCoW%D|cpxb42Joe3;k$QI$=%H~bMISOQ5Ahp4G;KY81Bs7Hyu zEo8EFGxfg(f{;xXIdF-IiVTk)p;nxgG>S*Gj~9ltU2i2f@&I%36;8>c4`~95 ziIJYRzxsHn?j(h$i!haOC%NN@-LY@Q!UT|NV&$$pv-)y3*IhzKZ6T|YQ6&{Qt{uY5 z!1wQ_R<*BfG`w&y(E7|%*M49p?#l|<4q97c&<2uqffww&U3d7rmqe!tS0;xziS0Cn z`czsCt@`rpr>hmXkh&6k5|6n#BAAMbjz04V-1&2`_orVgXCiD0-yQ;QpsgK=K6lCA zpU=A%qtuhkUP+B@!Li~IIr!v1CnJ`erbqk8XPK#$L+jzPOa8{arMmea3jB5mGyPdf zjA~~fIyACQ)yI>5=I9H&Id5}jv{*onZT&Ta$cOu5zCMUduwq}!Z=Eh4uj~{aS-TW% z*>+*G=Fq6YMcunvSNWUcWA{yh$W5m7;MK3tLnGg5r%P)Rp;inO#(Z0|MPY+rz<7~h zarK9mVoh18r$+9%>2!SFMakOmcK|Pw`aXGx%V99#2T`hZ@fAUC+Ns9N4FQ_mI&{?V`!^XYQGE(8RSx zqo1^A$2PJ~Bw9IF2rWbk-WdQ<(2=q8C_EJD?Vz@31|ngZuciivt$Hfx+==X=-Uree zR8FLTUY_U`jH6)ymc6k)azq%qldv2MQ!>N^3- z+>riCR_~v}y>w4&U{l_{i~#-IXVuC z1!y;>KS@K>`Rfr?Z-atrc$*&Ub?t*nRmk6!PJuGpEq9d(`=QT_l+Eo=#R@l|*z=&l zm-a~dpn8whueZiAPUrJ~2$M+N`}R`a;x>G#&&)GAge3nxZQ3v4xaiIgnt#M=vj$Sj z4$gP(!@p$o^Q}t?{Yho!_qmisxUxn(Ry%5P-qpV2)<(jSmzd+yc{Fb$BVLUQmY*Po zHRB5H3$UVx5AsOe5)cqjx8+1#LyiQ_O;5`5k)8QzlCF-9HE=U)4{k&T?J>R_la@`0 zB17xcLCfCoYf8z5WX4l81y-9(guoGG4pivgi zjcGwMoM1pqV0jmC18pGaTTy!(D$vRIi^-`xuJI!S4f?WXPThV5gb;y-@>34GI)b#z zaJ;$p?sT>?BiD^Gza1#kz51l9meCR^2&1<%F}7dm%Wkn|MIjUg?9qdN3){??iE-cM zl^Z_ynV$5#@DVgA)L%Xq!TJ8_}-PDtfH`tpLs-a zJKoa?!Y%>zk^JQ5J2pG@&NDafJO6l8WLjGg2NhhmLr~Q@%h7{0YuSMO8VS79Es<_h zA<|74l}k<5(CZ80YNX|uReAfV)fHi4$J9K_s>JA7d zm_OR6rT#rbQX9T^sbfz;qJE456>cEF5*s44DKZ213#ug`(els6Gp#0 zEkWA={AjUdMaifMo|{JG{~(2v#{nLqfK=ZN+GFM+%nX7M+HNj()S*Vx1Lua6F8S(6 z1BM{P?*~z4JN6Ro7s;JBd<-X*RtSAbYS^1Dr+$un&n#C^K2DBRGl6ETsJ?pwEBAeg zU_zr5)^#-ysII<(MxdJloaEeqn(3%?94PxhB>s1J5CtZe=ccF6Dl03i=QH@TG7&k7 zLFS+6{PUa~)I=o#$|pKC9g~}lHA`@M+QfxOP!YNAY-e&I)QXTs3oUT7&_@x0u23Sm z>0N+Y@jvpn!rCWDEjvx$nOt98Nt2dO$xVp~*v7UH#`{@^W72G zne$fyrKIIk=I|qX@#m&NMLYmHUN!_#VAG(B$^@ChZJFOp>fI@K4GglO`L{_{@X%iT zr$*M^wVBo$OxwV~eGo%^$5e5GnOiaEI(gRcb!oVqUemt;L_Ks)jEX4pVVkp4=E#Rj zM~=2+3|_OehT7I_IG44`gppQs>SCrJbeII-B+~p}yx0_SzkVHa;VU!h&1IE4ClU27 z(gL zlNd>9)#k&qTOM_jpk5g^W+zvw-QkgT2p<2jNR!dFo(xlc0QV$AEkxpBPnNH{W5t$* zjTY73(xvlOVogbJ-CylhW;oLSifG?Yhbg2Yts`uT#BijkLJ>NGotoX2Uswds7a0!x zPXW^obpKZe=sKz@oj#tP-An_=M@SBDn_Lw_X)pljTg0N{YL!IBN|oCoU%Lw6_^XPQ z11ojan7muQ(>un;<1phny15A9-Y}tjmT<)uukfvXZtAqCf1k>3#h1`#=N9*) zZIL9`nuj#mf*92cRA7lTsB%HGeD7G53;W1`>$TmA>%&GIJfrT4Dbl5Sopr{A;B7p% zR>O}&G5YQ$u6ISZk{NIXDWjYo2!Xt=5IR3KloYI0`u6aFJ#m4j7~SZ#--~lmTDxQR zYyUuaiy)KjD+q7~Q1St^dV0taMYP-M-30`Y?4>)@Z&@O8d+p5I{YX7oht3KK*hRJN!8G_`{Buv zBPsRu#xN_bl}IwV37fv_n63s?%(M&)hEvMevIB=H3~4M-Ro;RYjQr&7X~F8H;?`2P z#rsH`Gc*O1`+}rFuK6L*1W0YtBE~2KNKM|SpBWG>WOdt(w*}QaCO1?%g^@-pC_tA> zR@h0da8Av2ST3Ks?kq6K~5pv|@cZG$48nL+eFA`i1(?mv1a&nPan=2A!6r8ohA0L;gq z`Wt%_BD$+qU_;#_{#~?I-6a2%JO^CJQ_5pbk_& zt)xjlQvVt8Rq)^R@M+9RIl6?;Eg4G8B~`7nbcLq0jEmH-x8|&k&(7Pb+hcuk^@JMi zw)6erATyIeClTTaGvJXoy!cVrmkiQR4^~&!1Q@N-tt_HXi7Nh6$7iE+``T$2IVJ0` zwl~)B^Z4zRe}yV6voAch8LM=HYB4sve)2_>YPZvDkqdp8EMK>0ulc-vU)DWr+70!S zZncM>S=dwx9}JRpk4^hsJWa^xF&?F3ptt*KpB5UpS&cDFbT3o*`M*Iq2hwNp&M(aT zc_5{>x7k=|zrdL6Ci^%oeK9riEAlD@SC`u^aEOD(t)uz|5A|+zE<#^z+fd>xPzs5< zatrQjqQSu~A`FV_GV9vJr^vJ*etxpr4E?@l5GM#(8uB^}^n8n?tdlO0{>&xUt#iB5jn@^{$-0;bp5?>g5ZsXZS<; zfr5@j06X3CA$9zAlGmmxgmbjEzI&Eq;kPwP?Kpt?k2U*#@5RR<4RTr#{s*KtiMN$= z@Q2wCu4|R<>g;(LX9k|Wn@6{f-^xC0&nEPJA8-l^-wTO@7IgT<3t&V)yLkMtHlq@t zp~E`d@Rd%N(f5S&a{f997JjCXB!U}*Wr0G9T4u6ub(-}bDGW!~`0(r?Wlu7qi5f7l z5=eQe_D+#Jrj0e%C23uDjLaLs(}zo}1XB&T9>an`=X@S|KABNrP>BwjgGbw*uWX+z zajj3To2x%gl|f}gwuA6st)R0{Pgr`AzxeU3gPd+>(A&31`mdosgA{Xm^_jUON$lR3 zyZV`tx{M`e4hA6)u0_fM^3zS`0`{!|-xvd%MLsful0eX)r^2M)b_T!^2(e z*Xr$QMr<60CX4AR6!e1$xC|QvNx4Zz;%O<)$tE<6FMy?wzs; zC1~rIUi~9_PP?qMRHg#MmyFIXE0Z(;2|u%+=dbg_!@RnE%h5(xXOGD`r?DzcA5!PN ztZ?5gH@zY^6*qAQgunlmAADn`cP0O(hLPBVAoG4m9s9vErNg$LO{>qv^WV(5S4wW* zCzx;vGTk+%fXj2`6^bd%4vha5_+9mUqOWQxKl4r-t?sD9)W;n+xpwt2FbLHrH&Fjsv9?d`Sq>WL; zaCSW}I7$qc9T^!(7>#Zgf}-aM$-i;{vySYPnr0>H(#ImR<{a54^R%4JmdR+n8&)fc z(vHSrptflF`LhRR0jlV5`H`ABZN<)qfybTIh>9vbIeei8g4tTgYaYN2L{~O3pbi1< z)_Zes=GLJ(K1em;6#`jk8{Jzf6Ft-Su1D$_7six@8a)Dx65Z#PDkJ}Clp5h#Yg~9+ zk))&E)6nPkE`TGyK%)ogcl!GED^uBlmdBkJpKg}!F21!bg;F~+{^l1VVwj&?7J&xk z6!iRryxcBILxrj%!ZU+ILIj;M&~E&=92sO zl>)3jr>typzjEqor7mZkqFK{{S9Ru<;Cp!izGAE0U3MzcKBdKpTghpxoh%tnX1)>; z{`Ge_T4an-?cje@5S>4N-h8YPZVic8YkX63|23;+JUJa(r4hqYUGy$85;3$h+1J%1tcpLo^NcpE z0K4Rl9_CUWM}Ub$qv~HWsfq8@I9|r_j`PP$MpH_i^8MyvFl+ zJ+JFA&+~lL9Ip|_m;T-R0P1YmXLK%U=E-ky>Ap+R7Gc%v^|R!Aq-=KOWSqA8bFgdE zUkbz(!G4c})-iA29_h2OvDq)nc`0_{Kt1jlZn6B+@5qyehK4@scl1(_L31el3}eR1 z$ZyAeNf-SQv59F8Wj%MYJ#OL{hw!H?X7#<^85?b9ulS$61bX z*w<$%_sNi_05X|^N)b2b_@_^wBIWsgDv@FTLv1PReBkgVJ^f(j-C`XUjXQe4D0$|Z zIiGfQFn>ZnJ?5CPD~AheP*4LYH)f&8gL$KWB|Zjg^eQRIE7!zB;mUPy26VwKW>)l% z*8lF_w0@{P1}qjI-;LXSo5tUpz&aATPHcEoN=jWer~A>^z^v2gko=Ys)$aS^(7CML z07K$pVXOcsm2PcvSncYkx7XBm=%Y*S6a8oSGOYT2z~nn}tjmqp{j-9!;zJ=h zHPa()Y%A|~XS8%|>SF4U{DO6Oq~Qee;DnwIpfs0?te+6-GGI1)cFaoJM)Mn1J=+Ib zw!-!G6oRumX}rC!Byi5S^-Y|1n|HRj?d5%3QRW9K?{5egkf`KkXAouTI0oRrM#g@- z+n2}fZvmL_=M=@;iddatKZ``4TxJ?h&8@e0xH;(#$2lM-E=}n4Zd%Bn__OxIB_ejf zZ+Ovxt^*h_qnvzZYFG)pO?dtL4o6hwz!ext{l+4Cq0hy1JW|pSD5yHS>f3K&aQ38U zWQe1Bf8+R}HrMnE^&^Ag6#i9YORu-J9oke&%e7gTf%Sd1yfT}Wy-L>cJ|3-x5*xjj zz%vN~0r0g#HAA|lMF|*3D%%L)dD~DS2CPh0{hF31rkR^9tygs0Ng5w7jl45z3h?cd zwIS@)sX_+1ny0k$?X6W>=_vbQ6$$$0^FcReW>hAlfj|alz^m=*c$B1J&biM|QpA`2 zoK{+!$DH-9HU0V)h5Id=dotGddU&r5c@!QOCs0?lgtCl!4mahu(P`vMW5z>w!5rk(LU|6>o|>eB7bi*#rqP~ z*l*t!o~sCzod7M?Vr5P$VSeGW5PbH8*buXv6B9vSnUfTUAw+f*~tQ#lYbwoN0A~SzoeU z=|sc;iS#jib64-q_QUc z!u(7i!lVl=WhUNDoL+ZrxOLPD$GfL;1ePy`Y1m{%4ukmF^kdw1Z<^Az`D_p=&S2 zTDVq^&HFzOph(7xKIhDH?0juHGuM`BJF0)XQop8ITU)zkOj?CL?8Mw^_oIY=O=^22 zrvia|i-Pp;a%C&jbs1ShnWo%6(Wk8cen?>V6 zNHO3R-&or{O&tTs@>)()vgw{DZ7&CN;n6E z*xkRlR<2wA#_Q0?^P1K%0|VPoNv5FK+#hVC`rM+&kIRfLEXn6=A5i_yl`_G&dxki& zd}b7xKAGl@eAaj1XNh=Zwc%mD%EyU5;rsXNrc8oc#h2tbwspEz_AdQV9abe9GQBy< zI&`TpU*DFZ>pUgj`}!1p?sSdjiY}9_v)i$9WsY$1gGybGfr}loDzdV&EE=>{JmE8! z5lPezB^7q+&uK4=uP3y6g==eU=s=pOVCpIkROsH&Dq(?*IlHpIvU7wfME0h!_6{xD zpadw}`K)EwC&)6Oe$349krI;_s0Q~kR+ZPmTcUz-aOV2;>rb25dFUOpXMd!H&7Y*| z?iki@J;t|25?XnLMmL2uJX|9&aWXa7m4+`om*l|`T*~e2^>RD<6R%vTX)v^U#P$Yf zD$3d^bVU7CO`mR-;sZe;A>XDU&qTW~pJUr){x~>WYP`8)w9GE60yL1lBxDt%4ZqVF zU^mfg2!SaglOc@E4IGto+|GYeh|(k^o5WkHN+|Ci-0-hAU++~`|6+#uR|ZSYbYB8bJi2779%1sM+q@yEhgVl~iRx6A9E4V?J~n z*7mCN?zE9>?gex#mF>lLp}}k;(pP7AuQT^Y9rsc?67PL&nlAgQf?BFx(oIRAm!i{G zxD$rDf{J6sW8t~MHrgCV2GI-f@upc_53)>%Oai(S9V03p1V`=AHSwFMVp;Cnc^4)< z!BXZ+Cs%Em2gg&7UY=smN!ZgwwyTZonZwa8X6m0BnHf4{a{OvqiLK@Y+DZu~r;Hen zC4Ke_2-udVDer+AJ>mT1Ony?Ff&_qgn*rPLZS=RGZbR4y{ou%hf~Kg}cR+isRyn5oXuntn!HlAw^E%XVS`Cd)QaEol$?SNZgbw48Ll2h1G61<0 z$3FnwjltBKRH2;07!J4*$i5_!h=wSGyn3}mE#1FzIVt@!%jyJU7V08RL*6rX!4DeXnd1lXnFS0j*S}Wx@AnH-Cq%~%l2^< z7T;IkZ1<5l^p0|czAtB3i)&9&6y=?NFBNv_k_Gn?aa>$9o|SlU`>PjsM)%vSHdD27 zD&h>u*qmmUuSLov_V5SkQ4w!f^aC}=uK-O4`KuGPp3k0bAQ%J?rELq6G;>Mawu5Ud zU5HKZ_qqO=IG&1_C56iO)e2}5KIy3WKQJ&bylLbAl3DE4b(6E28uC-c-h*vNjFvxu zyx42#+sROQJfUShb$}H@=W6Mxz}<&Q!TQ(Fo_&zL63#cj9ZD@9L_7z{X!G&MDB1Ym zDSmuE84*nIyLG&E!zZ#;4a(hC=4^zNra`Ri3-MltZ}~-%Q1OT(otURKJ#F2}|5$TNW_&M-B$>*AyKk@PW{E~` z72=d) z$M>GQD9ubqG=dCE6!YxS7@e$fUO0<}nZ=x>&y9Jh?{oPdC+z&zvwp}Aos8YREKiH> zM&5=NLkA6hmi5gWvGpR95M5Bl_Pr)VQXmSv#=&9>(7xMhbv|YNQ z$)IV{s(0q*UZJmb$u82SxgDwnQtY2T_nueXw~TtwHFM4>1_-O73{3Q5G_4y|ms+on zSUk#21c~5$ty`RMTi20)-CdXfc_W&LW^E9;au1id&!Bo!{`_=XwUe#~X>!20890^# ztzcf;_9V_@fZgn|`jCr;dT zyt#S&q`_! zeDjti63U0zzP|Dg-@kWn{C@Us%ZnavBCVY)4LP${_q{o`>nZ~v5m1xkOga@1@yLNY zF}rsIk>;~U(Gl^`CE(!*IhSmEgawkZ(nLg0)y^)P>(-CM1{%Y=qDAD04%t+bb`r?7 zid5kbq7Vm8UR`G4{K#Pw<*kE%TzOdBKMajHh_2RqOmx#SA3b^mRStf|K6jd+?X`|_ zk2kdpIqFF{T&tMnxFL2B&AIs1{Ej@u}&n=P-C40o;Yx3L#B5JPfdQ&!J|?J5$2907Nn_1mAvwaM#~?2Or>m-rH7@`f4I4}8*4Q* zG#Xo52iue4<2N?!k2&-zW|XyU^A;lMVac;gP*4$7G@;FM9{p2NqF?TojuSH>NxAd!?uv9Q)^neQ^Z|x|fLU zd@M08AL2ASz)*NYWQn~r5fUQeTo3;Az1GTC$8wul6Diy>>4lWeTN9_qlSCC)9E!>3 z)Hp)kMO$9T1IHKcFR`sG@4LT-RSBaQgI(Kgt2G-xayXAFg_N*2o}DSLsv<`dyLt<( zckIOdgZ7{Jt4RY^a=KX-S+079aS$|xzQpC^s5d5<%)WVfc$xoIr?LII9#ZXRV$2=N zsv+1kD80}lJ=vJ#r0P^yIP>($PxiZ=u0)lPC<*2mFG9xj1w1&@V9mp$e62VXRuffX z*RkHGp^Lv@pv zNBgTy)cmKn3;Py2{wC7(gQ$zwLpu~z-K|?iZ4U0}cg%v=CP9`Dq95eeR)Al0Kn1Mh z!A!_Ls6@eQ>@jTvczzN)NMSIr;U(x7yXG0`a#LnaJhcp*6DNUdH@5HND5I9DzPa5qfCjU`xab^&(3+r zE8Mp;OzZru!~QfNVNHwL?CY0@gEweQLbQDd%-Mjo`8OpDKk=Uml~4n^nILb_2+s0d!dO41<#Tm9>oTnRwNGd@rwyx!+^LA<4R?4OGmjPGKl@xa z6O;fTO!ar0ATkML=R+VwPD9x>pxkT^S$~LCydfgxl2Z+5l`?%0ht6Xp!e?}Eh+QRb zAl3kGz?x_(?Za~6z{9*KI@3#7%WYaht^Nh)5 z-%XmChnfYil9PA4?^M_Y3aUN4C<*Os2Y##d&luj!_<}N?l=cZ*jW98@&~-u=!-*M$ z-8*yr!1KxPof7^pZaGihku$8EKFuHbAR~FO?e5&PfB3W3);DmBBtS=>iZCF^y@eoi zt4w=Zii$}VOsjQ&gsTx`&6G07vB8wld!B^{JkT#a7X4HS8onV7Jx&#=Z_K-n?7Wm^ zUhAB(5h6oEiJi1A4(}Hj!-LHiJM8*Gh%97x2HUbf&!qBX=+p+-c9P5d*;95MqSFLW z{7iNYqhg(az%4GX2XqojFFM$xIAMdLa}Hx0p+t~BH=1jYd`eYYJBehD*^H%1ib-E0 z`Prcge?CF|1r!|@8v(vZLI6lKs>BfiW{dhgAQD&ZtE}9d8F!!2S>$vWPEiLn^>d;o z^j+&(U$XffIv4o;tc8vLgJpll;(r*b+v?yPa&(RT%zZTn1ovDuiICvo}oeq&wUNpesKgsdx3Q&xG8e} zp}-i_{@{wtmH1ww`PTkumDSyN%rGhAw0(|D=YT@pX?2Lm!5SRUMsjE|gEB1JemPGZ zciApe?j~J@Y^kIhx3s?7%zm7<`_A!oqCZ8*fG=xPm~Cz8b63wZmfK&y%t(ILT4H-P zw#P=>aayS26EZ7R6_rRZn#kA^1S2~H1S|@mYeyfGB5%m=%S8m>AY`6kx#+w&04gJYasG)R@h$JK=wB}e}&+N)an1Ut&WUSB2 zYGhU1ysnVSuRka8aq4%@y_rjkMI{c}Z%boScCKaYH2F!Bx24^I5sk7z(bTTec!)+i9Ivm z#?YaNK(vjMpMWJKg8OOG>J zwt%(oPNTEopvhl`K`ntqCzUEgN-Cka4o)ZyS1(}Pi9B#;C$(r(&i>tMm#)#dOrpWQ z7r;xxfl9q~5OB7ife}rBZfw%$jQu92Ms>X}*C~AZ^=H$mjiF;!cg-Fh zoh+UfH!)$J%z!w3RnVT}*d$4WC*jF09lH84?=hLNVj@vYG?Jeku!sbA&1ouL`~9iP zABYIg5G_a_>aj(ycv+FF5aojeATOYSG))fFlUnpENXw9N22q_Miy3xn-2JoI-gx2W zm-%w*1lZmC^G(u?n2vv&vfqaTwapv(`ltuv@gqNthKdn5OrkhOy!a;|Tv6p%m$`@n zrrXA-$CIlOU*2VU6+@xu6#%6OyK;eCJXJQF2!vCIVC?hsRL{uPowNrNhOFtS;Qc$@ z6YjS$R$X!Ccng{WRF4K(s<#;8zn>u8{Cp0KGsGFze8H|EMf?^JD;%|{J-m!4vp$;h zkS1pyCg`3eKPQc&_i1-UW-E(js~^pnQp{t}SRcg53aimDAYQ>vJ9*`i%XW0Iw(R%a z6S|xNMZ}_fuqsB|LnR$-STvTP=1rL4M7&Z!oHcK!jp((18t<Y_gSh^_m`8O@?XnfDj4zgzQfFhyt1g|Cdaa)Rs>~53|7goOgiDPmPqNnX z4L@u?JvwENyoe$rS~tN+8KadyhF5QbC+bKvTR?z0fH?rxqj*Hc2gp$ue%r4CYo{2>M80FOcZ6Cv-EjCM5Z>6PbY@XQ8JKYr{Js(H> z3_(l~y;tzp4idFr;gS^?F!q^Dy>P^~YJ7PrmR&XyBm=zTWf!Kp}RVBi1jQuAWh zD#LX4UYrfA;+$>h4buXv&gLu8mq*9IBRfB?CB>Ye;RWnT-WTc2nW=Q=U*F z16T-N7`+4e0=v|$to_E#JPKqghgHLw;|dRL{I-655!T!%w07l|lr8dfC)X~A!05Rn zbotDr#Dst}3b-Vrx#vqGe;C4{7_WO&WI(x$NT1;zAhtYE%wL zVdt!qQ$h5#rkM)iTp@BL0AyJ?Y$TTr`b8%J5h8V-)6CGuoC`olY}AbD@&VOy-+6e4 zPMjpUXqF}RVr1?VxqASu?U4;QNKT{PtaLhlH~SUYgEX8ThoP1#vx65;7SB`_5>e2Y zO(4@#%6dS1ip<(u-`+ml{_@cwd?0R2W=xKsWnkLI07bl$M=f`|flD9K2G)myF;$iH zoo-Ni2tkz#CT1N0a`%+Y+1)ZJH2G)(Q!k7vO$!au{AEx85T9wc+y|2h*D`>i0)F7* z5{#|U__uO0xr*or>xr?_9tC=Xdgk!`>u0$Bkk}d)<0TooL{+7Rf;8HAmJn#JBg)kT z+}d*Lost{l_kS(#N_%Du!zdg8IJAM&wmkwFx_T))wU!K>#}$2suV20_&F(<$4k~+j zrDTz17~qA7djo*!gby_AL9sU`$4J4H%?9Ftnn^QV!v9{r8Bzxsn>jQCU^INcPcz@} zD@eQn+nHsO!e&iAP<|^~A4Tj@WDeSG85tF;s$n9ZKg{w89jKprdzlYKc48DOJj~INm<8YsaV02Xn&n#<1YpI6&a9>;g2Ab2Pw5|SV)wrbs!;nSdOXy>-`Z+ z1r}7eEwCK;<3m_ne@FAl>!WclhY+AJgY0P;Q53H?{IfzHcvZhZ_(olyTB_Qv+i@T- zt=89~w}Rj>@ZM+gSuzr^qr97#Y}Hh%ZvOGgwEklw&uQoXtyvD3Bj*J zNL3I`@Nt`#3!0iC{k`O^GV5{uM~IwfxprD-i+}oeS%pvFBKUmTN`CDIBCQ}qBxkac z5)*}Q?Y=|1w6y*mG|vCzI^`dAMQ_nCNqOuxo>`;eQ2Rzi3Irx z1T*X(=Aa&**4Dr_+9DX9ps9NTl1ePya6z zmINwxc&{Y8E+|I!l8}MKck;A=_VE(>h9toxn%c)90&knKQTNTYIzCMdb0Yv?#L+Lv zU?bFgNR8R2xw}%w1BRDebQXkK-e1B92|`(cc>3}8CfdlC!0xfG6e&B<2538(orauI zqOR(sAegSHueH3OtG~jCy5+2D0*2|sOTrc=x8);yB!eL6=t ze~Zve2)tzm3L^Az=>zY3eonS}cJy?qv*9XSzVZ1*yAfOH@MSKP==5QF+RV*MeJ7Gd zUN#N>_;3BX+Scbvv#-3tSH&CoH^%WF%R?O*v2#3W)S!(plwX5sxRoKPM~3jpRI}fZUToa>{2?jyX=hO1O!UB19q# zaf(HYTmzkNdeY4$B_v5HQ=ZkQc~-N3%7~$boratV*UW_TQhX%!;Y5aq%K-fRu#Jpj z0I~T%Thjlo56mY=7|1M{fGa(Xi#pd{t?rK@<;y(9>`u8ZoHrkEZTpV z11}^8UT3b%M(5n;06vqVaD2yY!O3;C1D(|U!$v&;J2j8b*pT0n$z&J8|HdMX)Z?UD z9``roA+XCO2$E!kbkVQ>*9kSNc>RypTmpL$k!d>okCCB%&_A98_C@g5tpcu@sn7GA zK~<@*5eVSR%&Ff^XO+|xT;$K=w_9N?en{14ylm|eN)N+QH*hmYjh?*zYqCq+6bmy@ZOOKt{IeIA9a!wC%=WP zBUPPT=GA5xP5V{-`6J}ssH#|O04&=WapSKPs`%GG;S%+gcZ$C%{nsn)hf0wF;DuDo z`Tfo#2mVn2Cr{$G@F@8V6;4>L+E1TS&(4v*QiT!dfF}R%4F3q4PKg1mIUv z8L$TK+0+X>vAqAoO#}{iZ!m~5Q?JsS`Xlt2@gwrZ3|p3ni)v|Vc7$&tYe7`19(w@M z(AFmc6wsA_g%X?`UVm5CN=D{*DTY4Y}2CC zyy2Up=pvyY)3*rJkT(g;K|1kJ7&`tWd%3{u2a`AuP(4uNl&-FG} zcP#4faRR^>FILTyruk=c0OGkh3TcP7jaOOo9O_nIxyWD_L4Z~pRMsrFK}sn03e7cK<2y`(M= zT)5tAXg@3XqzIMQr|1;_mx2udp68Rx2YOAzsE^xS4v+K3+YB)tHUBh6)Ch^-B}#@o zx*o4T)0b~dNd6~)5W;5)9Wrifv}pSu@(ATi$N#ZY;@V$aDFa0F*GDh!XHQL-T`$K@ z&78d(sy&~Sf3yZ{iWm;+{4qU5f-n0$m1sKHS!XnTzWprwdo?S_)ufhW{G6SW_$>90 zr&S{aOESL&)C@K@%yb1aNgPGsDP&2doVp%lrV1IAih3k<1PzfeZ|H8=@9mN}t&7On zHC2IpZ|!E#&eYI)5ib05gNk7xUIpPJsF_=Z_jdl@#dfc46&sQ}zTWnqqs#sD-3xEH zeBsdrGF}DZ1k}m{7^OSVPTi>$1 zy!Eo?z9P=of!}AoDp^>bA%jcYm3X82VrXiuD(lpWo&@8GH zjoD^NjHC2qZzF+W-O(>Fc<9UT$E3PTs_Yd7)g3oHMI>z+^AS{$iIBHYqheNYID4jy zeRAPKEeG^Dt;}GzNKO+IP6lL!uD4PioW5Nx0|CX4iA=;rCehY#P;2%Z(cYBAJ*^VghjcB!tXZWc@saV#~-t@Gwf&IexUtIe(C-|HZs%Aw^L;eOi?*gOX>RlnS&2R z`dx;8biqlG$rhq2m^~1En|@NJJ)7(}BAu$ozb$;m@(#pg0$fJ-pHnU-rkwg>pZZfF z!lO{4_aZ;zu_#^_cNd2Lo5x{p6q+ibF#AUY+s6k)H~-1xsIw1eFMQNxaV z!V^C2SW0FvaD0rr!^}g{n08mKwUn<~m+~%RPhs6r6+1}jI@8W=| z5R`T}r}FHMPoI4L^$I1iElEj>+w3CC=N5 zvC&KTm0n_VBm>E%BRnD^$*2UX4E7il`A z{K=Ys6<%sZ-cq~bsT@v~Ucu|vkIV1T-j*T7FZLn^b(z^8zgx9ix3bLp`^CIGxGLIQ zK6}yWq))?}z5$=6ZBPB0oQ$E`Md9#zxPpS78j#nURlSdTKM`MMrN$K`b9?P*AfQ5JJ)2+If$Z_O{D(0?_rkm6{`k!d&f;T_y~fSE6@1u?24)UUr%Y#4M7gO2Jfzsq+t7Rt z*nIn4#I9YUKCHEE&*mH-HzEmc$M(R(0HG$gT58T1Imd^d2vhe4Lw&W{mL_ z)bM8$)oESR*tyS<>w0=axeqv2HPlKc#fRMZKK+kt6?|eW9Ky;VP#Yv+C#tDMv;IFH zOr~m|@R2y>xXfxUkQ759z}oQkJv%utB*=a2p})+^tj8wKYe!H_%8pSo@CBOb+Nn@+ z^aGFRL(k70EJjaozbn2ea)oV}IV5fG5;OnZjDgLn=*1r=XA;j-zJ}j0bSh zdbpa)8dg#I3R=#S@%h)|8!v4ZY=4QO2(VVXYE{Qrb}uyN7yPa=JK<9Ryu!9@5@K=2 zBA`Jl{Vb6_&12MH;}VH$)5ZS)SQw)mP*aw4FPOZK5Wi8Fu@H(!0Zj!{2lU=h>n;)_ zym^PFrRFYDf@(03J}>Y2BkT{J7g+W>)@FdxW8f8G`U+)d( z!Nw&gpY~s2TiC9?eS3ViIt!bX*nfqMNIJA~vmG{Me)J)YaU^2=S=Pw;$UGwIgZ(+2 zIMg|tNYl}I)%HGlYJ{M;x#wU{ZEk${o`v?ti?kc@Q|fAq0Y9hazePFu@cHC8U00Fu z{c=sm4gO^3R)$GyL+(o)0lVB9q<83~_2yM;-RVhN`u&fK+%}W(gJtK9_=> zrhiifB2ZkbDKoR*)T@nLJf$3yQv`wGQ}g*|c-`knf)78|#E0FP#6CP*Na6)H^ae@$ zH~i)Gmv-J)kG!n;3DRy)n?=dH-H-`?^Ug+Ket%{F$A=yObPo3e+U8Sfu_LB z-ln7R{gL+6549$02Rvsmm0+7fs``+gU1ZZs9G0go{Nx=Z*V{m-Lj20t^S`+lOcMAp zC{_3sRktL$B&$((7G2;-ih(+5#44b;d_wofBCl>?|(StXvlhI03|T6?`b5+S0Fa^ggHMu4v` z;8m$@mhhPWMpJ#-Ppxg*FtJVUg~(*PqwdK7lZ^io`mp1B1`B{}jR&_)IK~)&9$@tQ z{}Qh8N5+vCy3im7dV=|EL?DYuSM+2QqRS2Zh-qdYdYEkM)|EPvJw;JLnpt0oVn~9S z(?l?tnQeth#{^W;NPx0om=9TQO5G$n>sRBIP;`6aIA_ywv&WOn#{wC3l3)QL_a*{jH9{@+H8RlLsjkTi5gCD})V+A;|mK3Viu3*pG9D3V~G zXgE0x#KOnP?1)WDf^hX2%n(aq${G6qOjlEQh=+zSnCO$dp6OS~qc6Hn`R8AeeiO*H z;K9m!E>BwSfCPZ(Khjq=dsL2Gz8rD=i^rPx|9<(`=_ZQbM8jKsYK`-M+=uHB7IS{s zK>94tYI&Qp-u(alHQo;c`Kc!f!_}zGod0dg8pqh3Rl>EH-T7?zs?Peq6HZdUlE*gqF*!Ba<_w{^|T7pusRX4;#}8@TeiQq)uZL zz+*@X)S|T+R-5tj*@@8G14HdGWfpzauJ*CfBievOqAR=?)VRZQ*#j?QR)u4p z!7FI?o;p?Kof%PBGmj)MWM%{Aqe9eyOq(Xd>Z!xxhsjK0Gshtf*@o^)zm-X@1;fL~ zay9>T`M$uh;uU1>7_9t*59pEoO;`XOhRENnp4c+kVL&9$qT~&*N<2ZAVlL{vf|>j= z3{+7fW1sjT)|R^V@uSHZ$s+ciJURNi^EaWw2t@7Cq%!+_E&Tdp-vnc8&GE&NO3Om1 zAdqpr1RE}xloyGn*V)YW8;^RcL*lVb`m%sngBGD}a7+Nc%0MP zmta>bc4lH8EVvUd31Sd!3^c+UfV$?$bjAZB>5Da)iHrg#LCWLVZM3aKJMj(1aU-m{ zL~tY+R2d0C9@Bg26(VF9H^FTZ_JWf50RK*{yk=7IPkc`d6!9i>VUA*v$?67&k=kY`%;FX)P1L=6`?9ziLflYE?DW02Y_51_AW z9lBVp>czeA!?hI+ZxB%8q2@J&X|D?CLd}tBvcN5T$Lw)vFAu8}+x;kBwh!?E3fP3Y zL5z9N@X*M<#x^_X(NO1<0&qxvi#5zI(B{=L8>6w=G79uS6LcD4&{rqlp40VUoSYcaU9)9jN1hU!3yWeNb&eWr7tUMRw<#gL6TGpOu5`;=@` zGU^)I_$fiWVkwQL5nc@}erJjs2I6fQ2HA&9AIqDVOmIg`J!Dk8*OwDdXitBL+z^&w@-N1?;7Yz=VP^Cb_*GxTeycpMlWlYi8Fy ziNy)RoR@6O4zGlyQzbU49*P5-$mG-d*4Ae~oHK*lp`LIRGj8{kvZq1z7^I}5tnNoW zL`q3N2egxey_nV{3S%ZhX4u%FG~y{znulX6=VJ$q!AY2!mIB9Ik*%}O1cZe4!X+*m z5|9`9u&2Sn*GKbbwE7HMlU&J8=tZ}64>`I5+qdr~AgkY)T5c>gKY7*?o&RS*dLA%o z!C3fgG-ImZov#=C8CRT$*Pj1)Ghb^0;rpvPwq%YFdFWb&vnT~ zl0mN%09FKn2^|cxSGjim`d~0WH|p9uotm=l1S-cAp=cF$=~Wol>xihVCxEbE=yleR z8yb=PiWnT10>zOk5Jq&!OuaOV9yv?U*#cquN>FeM5tuhkJo(>HOmK=pmt3 zg7dV$Y-Q;5is)CKP~@VGR5|KK=gGphnsr<8_LQS3CYR26&>gz+?oP2*X)MoR@# z=vT2MZ#;7=az`g^yKXP!Yw>gw%fNjJ={sUrewmrCcCfQvMqZi22sC<%EKL76Br{fj@%l8Qm z7Nqd+*>m>j$FZ=^bNV5L$J(Y~`uO;6jDJ%&6W=K6ym0HF?dbDOQnxO`%koA5$Yt4h#(ZfVsLyqr0!aha-r_7;sT2 z^a7mj2OZ3hsNsIA4mrf9V&Qz&kNt)O1E=`8J9q9_jZ0%=4SXpqbaT6*g`-stzw!+n zN>RNJt5cGby#bJO|4?soRbPJ#%5y9U=LNSZJ@>|yxP^s~iiv4^7B3&4fPlaiLqma|KY#i>eYzP#YP!FD<42x)VK6>+m%!Mc zT`d4A7 z`zs0h{>fH>&fj=Q>hz2o`1x{Z?8BrSqd}Ds|IWw97Yz;Ik8h%)q9%u$l!Ju9Wko<* z0sD9C+kodCP%3Vm-Oe}uqf1s~&z`3QEpY$!M#;tu6AiUwo!f415>9_EA|K@6x%1S~ zqvW)595C03`+h=;@`!5?T^1ih61P++r0QQ&2{{82r-m$J}NxvSz z&cPutSKHaCwafhRWI#&=q-W!a0)PX@k0`>1{Cm{i3VPoTe+>2|# zFW0>5PVBiI+4fVfl(WFG#Fhxzcy9t*z~M zXTKA47=NpOpabw}3mmJ97ca^roR>{FA7$E+bMwbn8W1M5zN+VUK%~!NxLM>Da3qva zrsE7NRurRFw2bl#mfGXpyQ4Sl?XRG>B(JP27Tbw}N-rk6uqlgk3`iK)zz(8w{G3X&0DtA4E3cXo!F6-G|-Z^ zZS+f_7nWnatSi%dWSD*tA7C>gM(~*hVD+ zB(&!{tVi%5U~MNeFe5zK+ZDXBKYbc#CLY`?jHcYRYq36Bt@qC#o&0zqNlVi}{e_Bv znI|mCQJmZqn-TT=8=pUau8EjB_Y7wJE6l;QhS(=QTlr$O^2JTR6nG|T=61v2G-q3G zvl;93R0CGUP9FbvS(fx3{g~7#RzD_ufg~vt$|0^ zI`^t4oVR1j%RgiSqNTqq5%R9CsXyW5XF+a7m~d)=2sT#+m&lvcfh3zwA? z9{5g-j~_8L6~=g|`yIKqQMms8_UyDy%Yf*lNU3l)poNRAH{4jb@UkFP;`-ub&K@x_ zBHnEM>ESYtqWXzm^i&$`Y;xVO@@Ud9|C*aC`SOJuG0ttk;gCeHUcEZJDMrf6QB_6F zk@3eQV>`TuyrN>sXh$x##REXhzZTu5-7X|_FC|3;+bFTgEVj{z!lo_g;pzFr-~Ykn zq!qU06(}$Uit4Wv6&3Ye->8}qX79&vkm~^h#~s8Kx(MAbX5ZLC&$Q`U?XI6|3z=Z1 z%f!bRw_mw_J-&XO?Amqfy3vA@GdEAx3dPA8ceZm>(63$`A3gghX5%N@I_MpU=TBd` za^>s5zzPEcgDna03ct`vwCYti@la_jvgE zm!j&#v4ocPCxm%dA)eT0Oq+L~VSx7IY)~ZLnOAH1rFOPrFs#!?OH1p302|+w2jnc6WMn7t%NoGF*WrbOt7#0{chmQT|u3deo8DU7)keKSi_51 z=DbQ_Ql2!l^!-(qll^DDYfNoZ4*d$RK~~izrmP-ztn1sia|2>zyK0Wz{E0n`enwDP zOaz1EBF^nYfaHgk4h{?qBqt}={xeQfJDCW+4 z;1V}WN^)8cHjp;F`TVRkeSghY#EV%@^WtzeKMXCN?BPM9-a((OHN5Sj7_XP`SMl*$ERf| zq8B!#Dk&+!s2>CV9E>}i%a?y%a`vw&FJB?O@M|+1-5G?uDs%ogHGVD9`6EcDTwv67 zVaC|St+pekh-fq-rx{Wt#l^)mK%N$%QnMQ!rawSN%UD^xIc$C5>KAFd@ui@=AHRH= z7sy2KIm8OZ001rnP6M~kjS1DA?d-=r`Bq+L~cM6n*@-a=q{+ znJZWL@Zisn28dvln$rxJZ#g<%zH;Rbri|#o6a5078^^~Bp!c^pt=P@)5Qy!z>^*t+ zbDU_O^TmtofL6F5&WD!Bnh(|0a_7#iE%o4_-Mm@q_MeQNH8N)RuunsHhjB77bA^_L zm9;L<&Js-rM(ojA4tnh;Xzh0+%r`eTmoYcrjod)wS}jj|p>x=m*g_t`^RH$4szVg> ze~#2eErY8+4bO7^cOU$b&QQkJVH?pJEMW)N6@;&zSLgZyX#H(JE$d_HJMVme~_+ouc}B zRvbhUlmsWCEwr48N$&LN)qm#a$t{F14-y*=4(VnoDK0cL`fDR-yL)>4A`8vF(m#K7jN(PTyg&|8`N4%&*_Si(6Y~vlqX0)kes6 zb$2f@Gc&uWq0s~TX+Hr?+o;Ng0h7Mb(Z{sQn7(4iU;9!ZiDc{chY#}l2U6jy@TDop zG54CZt`!jxq4$!Att^msoZX8!vg_+t7mS3wf^tIOUPBfpPVs04gFA1ES~yTW zItHJfV>7ZcynCV7df&|-IuiDi@+)!_AG*62BLPO1c^j^RS3qC|1Z^lT;MH{Fp0;n_ zE`ulXOw8;t%7zhuXs}JESy))Wv);|mCwE3eS-yOE5iZ-?-=ChFoBNGv#|ENfk3^?< z=xoqLA>Jpiq*MyZ##ej?9{1%RUyB1#<0!6(5(_wS!eMs+&V!pHAKwGC2bcC8eaAbB zvvTz4q|dw3(zn<4;@kHVrs5gRtLVB=a zj=WIe6%-u0pW*4|7Q2J`d1mQw%E(O!OMllcAt46%B_!Q7CU(5Myaxa!v5ZejJ-QT? z=r47zR0R=^G$d+n?Ck8kn5;vCxMfDAO%%K*Je}h~OpJ{0F(^E8j~A95oi1$ZiGbGq zSc(g`X>dpRQ^O-8PXYtoaIu1h%v=&h$S$#=eq0LBzk2ln{vzEZF4zOiQPBl$M>#Rz)MWHEZhPOUPPv+QTs5 z=oi5X`Mv?zwy3j{3pCf$pN=j~NlCd0-X^h=%*@P?*;9x~{Ps=nz@bAWm6Z%mPEJ`j ze?}@f8OpY2nzYg5)C4|z_7-*x=I}%(tjgDs5yn-kR>7BqD~CzJotN%O=)*2dMqK+^ zyO0Y3@B=R|W=NNX*Ii4t9n->5q@kdYNMh^emX_jo@0Ny!hQa}!85G!HQvgqjS41G) z`SIgN5p3S%=SJcXV9rrzdicd@?$oxzU#n-3%x~u9rNIR4({bnUPcsfwoNPPurUNb{ z?BBX|YceKyqec4jTRH2NLU`rn%*kc*dFd*zv@67o-rsWh!}eqC%-?)d3nXfHx&LEUjiAmFs(8JtUD&`i6c5XJlJ+m!os|O#viP*of=dn z#-*%m8Mzi{Yk@s}zP~ZV+na(UPESvdXaD|n@ES7e>gq2tIk1Nmw_tV5QV?*t$wfU0 z7BhqCamNjOL}dNGq2ZiqXPyA=fS!S!hm;P^o;|CetlT6Z4O=zPk(=q}22Y{@kMjZz z|MD=D11R25D178b$~!M`%O{)=l0}<+DWK1sLDaQG26Wube0(sL^>Kv~iHV7y@*QSY z_FZpIjsTZjOx#dPN{VIOx~+VC$Uc_H5RsT~DA=e|+|I|dt$6|iqo|`3uEdGMDn7); z#%x36d}9JuqiP_YYy`{PIu)H6LR7Y zJ&w?14rj0^ml4 znW?G!=i?g{ENyKsEM%sq(^2$)<>Ln$GY>QF^FAEhS-^!@Im=;2I1!vdqqc{wGq1hq zSL33EZuP9hV{?WXU5=g(g(8H3RNIo0lUEnj^A3Ol`Kf%5hzQM(y_7_uJ$uqbC;qp@ z%mtfP)m{zRgZ*I}wG;H?FX(1av26-2ymm;kB4hVa!;$Uk=YLLin+SdsG};K$toq)p z*4@o*L2&o()m~hZZ;@@11n+6n8^g1xEb<^U#lHOfJ1sNwLhnKQ$ylXqpZYD?xw%7s z8ZKHOfq##Pe>E%XUDQ8GOMS6Ev&eCFvKUo6Z(rZ&fNgxg5cbj{X94zTHENDem7MJD z#j&{+9>Sr6{PJxT4t5xojJDaMDKVF<;a-HfBgTzY728>gt9_ zz;=1ysNhQFjvQHn(u{XdkURMKJTNX45`Ut^s)HN^VOJ^kz-n%8?NQOF$jD?&`Z{{- z*x~rbZai5xPft3^fddD^;Ri3ixwgh>e(Hj8TLxoYU0qF{6FG2vJrVqO^@TZ? z0zr}t@hz*-b`ETGS_&>u2V)6;p@sA$B*YU!9(*wJ=(364RD+L)c|2@vEQEmG6{l_} zZ$-gggpvpB#`#GRY3TD#Qf4#@1-kK4!7UD?eeWQz{>0b!9?F8i5YWrX_5G9np0Y|+Q4}ydkg_yJc3#8Wy zO)aE1BoHEZ2fO_Xuvxew8cK3Th8%n>D9CQ8{qk+yN^jX$?bvI5Htrk-;c_A;bH%fb zM668z}*qPDh;D4QI(^((nk0=xRijT@o}XNVVr<7T+Kj5#sc6n?hp_6e;9 z*(i!~MqDuL%7Z5K`{`|kjE#$STGz{b%{r}}- be@Pqr?fus7ETl>R6bi?bjwT+_x$}PjWP{OK literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Road_Hazards.png b/Vehicle Live Risk Prediction/Images/violinplot_Road_Hazards.png new file mode 100644 index 0000000000000000000000000000000000000000..2512ec812f89e15d5916ec37251b961894550ec3 GIT binary patch literal 34612 zcmeFZS5#D6w>4UTh$4c4AW9GgC8GopBqL&hl5-R#2q>|T989o91uY4J<=+(MRun%ol1Zibp9=Q(`cfqu86* zH82>m2@Hl*@6bW`&0m%V4)~84PC*Z+X>W;hHFL7S+&05GJg~<-u)cftk%g19wY{AX z|5biL-m~{{I0t8O0fC4AeF49{la;{Pt=+HiC5Ihu>N{gFG-l{uk~Ha5YYfIe9(!F@ z%PnfA&(%%SV(Q`vr{1POzL=CWV#82Mni76c4A>r$SREl*Z zDLeuO6Si1D*#7||BSV3HsJ?itnFRf?Kym_T8@#2LbRgJAlIKOdQvT}Gq zzm9C>-mWL3|4`}r))vo&3pYBAoL^tD@1N1PhffGn$!n&nNKS8c6{O(r=cCH$(rH)I?d@$^X69_WK7#eom**TNx{i$g@n64wEvRga zcI}Ut&nHT4-SRh^*qX1}TdNKIXjbFT#m4q|N-z-jX-mUr?|W@U@OZ56u4$*|;t2LN ztF#H9;U_I~^Q3d<&S_QocpqiDs-_&qyV2Q0f!P*Cdc1A|DZ-St0S;TJDn zwC%{!pK47FzI*pBZeujuc4KigLp|}vi{8EI+^U>TQ{Rf~pF&%^KHe+x+Hmq->vQ!O zd8=4>|JON}nJ#tDwYi+4T-7o^6x zk1-m1ue5J2x2mpmTg6URZp~>rIpw1-QJx~j+$7Oqz+mWP=ld(@7#LEyG*j-6{CMjg zrWz|{oSvS3`tsdp?CAzYHW@nE1~2-2TT^Z;KQI&%dC;ZCVB!|fo({8=p_Pum@#<7O z{A{y4@hjOWcCVw-dkZ)6v4Ld*?HSt2MK2CZT{7nD1xJ}xzZE*gQa)VV4ZQDJ0}+(A3xO`|Fm*@QJJ_1uRaxNoAZ|4W%hS_ zD_==k&Z5FY(aV>Ao%CRFA34tG|2LSRSp2X@2akh|k-Jf~v-)9kWjb|Y;yyVAMW%M9 zj>q24T15v|S-F*rMj{Rdn~R%UDU?T7XKQtKrIx{Tq%<}pgm!0KdQUx+Tbq`JB}ZAH zLd&q&PIB5~??rp2?(}clTx~hIC$JMk-n@zX{FGwc{o%o)pTG9<+v_v+Lk?-!cNaDX zpVBO5doPasgy~5BQd2{B{CK=`lbB+#)aL!i!6HIJn(zpnE1jmXR^1=(eWyKfA_2CW zDSpJMbQxA&rsJP)l!p(iCo6@vB`6%JSZ-0S^|5p2zHeHW`*N#zz$cU6n2@Fv%8f3X z{aqw-ry3J2?vl~`{n4M-qTCV^MoVLjJUX`nXjsFNNIe(UH{5+Cd&^vN?Mg@KYrlWz z;pDvO=;%n;oXV_VY0WV%!}YmzrhBYR#dO*ae|=$MHn3AEZ1&}VcJXf#kWg8ZET#WV7$ohT&Lq`s2N9o7HP>sbY|CC!1!y;(y8I2ey#S(X5@A3aVUpP;FbB+VNdpZuNmKleRur$@u{BTT+4>{ zY*@nfV!grhrz?R}Y-XbZV@R2230sJ$=gWB3tFUxgxb> zB|6EinF52nJC98~XGO>l97r=Rd-OZsLOEuOMZ_lL(d_SJ*uV15<4xKtQ|%%yQ(Aqv z*4s8MNiU@Kww-s@s`lD7RV9<{t9Cl3KkaP|>9uAIL+wSGb*3hu9F>7qhC9@}xRYcqt?s&s^Mqa+>4-rg#V*SMP zpZ2D8#31HtD2}6L1>xe?6Y?X=GX+F$Ufx@bjEo!oV-U%w+B3uH`Hj+G{?Z^=)@G!m z)C4hGa;-NJw#Ch@wRr)Dz6#H^sqH0VXO?~e4z{@M?)C;+4G9SexaA3TY)ia+KwG># z1)ougnyTbV2+UOCTwmGrXA0H^SEFa)rat-uK3mx_zPs*?vC^jFQO-eV;i9wwS+ezv zeR;e<<+@z9K~YPb?9<&}rx-A5b`coA6RoArRs}Zg8J0J0_*?bE-oB$GSZvof6#?OJ zJ_6q`+f)1jV3=Ysi-^3OTthv7S%a--*`rxOX6gVj^B>2E<=f6FH`{WE~S1{@OG=P^v<%TCVm5w z1D!#Aw_T@kt20qjcjQXnbP%g_Kl=98mX-#W>5d3^98uf0v>|uzTdl&m6{`lVLk{oZ z4HkdjfKcBEF>VQ_X`?@&by8SJNT~7n`5W(Hhp#roO8ZuF{q&kl4lnQU9gDEKg&l)T zYGS@4hUH$==yIOLi8r3SsPf*-%*@@U4y7AmGE&lp+{(?2=7$#M=I@W5xgtDYHZMi= zTJvd7*Swg!QjnkDP*QTW;P!_rF`d7JZ#%=}Sl+o4r=P0AoV%5)m9D`?yuN$oK^M%z zfX6gn?goRA!(;b;_i^`>t>wvkpKRKvvWk7LY~iiPcBFS3KW$@EcHsa`57Dq+!wzqJNG z?auG*5<|>$^ge#E-JLBSusiK!y6@6F}Q zFsNph78cPf_YU|i{zDIVM;7o-^MLPOwwUwSO*~9m%Iyy+F9j;~U?g}K9zkT%wXw;7 z@G>SMEhS|VZshcWUch8Kc&ZelSB1f>Vc~tY^a=hcyQc?_YQV6_$;+d0v#_w3EFelP zJ-Ar>?xLzqZ6F;A;B+i3a}o3N^SJ<>OgvX-eikbfaV8fT7b~*3UxzInV>gY`=U7wp zbi3qkkA0OktZQ0U)_Ip6Kz5UD>6#{FKHi&?sZ#(pP^vn1EUvm*rebTZ%p`!Pq-=$n zS-j2GQ{JCy<9qNu09t@_@2MF8w)ivBP z-mCf*@PHnWlFAJ>qg7JB1utni+XxkqpEPD zzf-Hmuo7G*nm^n29pNvLL3?-b^HY@A-HKKjQrwru#OKSGmSK-T^zJX$=h4k+gWOZ` zsmf=^<293*24ESN82YsYS}W5!)l8jiT3Xs9L%UK1z_gXSo71_Zoe)N|`C)g}e*HRu z0x#sxri>e0W#5T0lAgYpkF<<2Ii_pm_#8mJWGeuJR=DHbhUt&)tv~to{H?n?TYK$$qL`42 z2pG%intB&OY?ELc%*?H9c}zwj@wA36Des=#pW$JNdZG?sm-3W8vdhUSDfH8;f4&EI zW@u*?KAJUvq_6C|vl70!Hg7t(31KPJI+9$98oM{~F{I;B-(2Z93j{eO$g7Dc7+P3b zW|&s_nDj_^tvh_2^M$y1`l>^mO-EKb>=A3g-!QA8{xqyPg@wYovyf&+++W|lcMrf^ znof4)?@tdujBDhYR7gxyGYVcuTidR3!xH5)l;R;AB}42SE%Uwg;mU0Y=4mXRGan_k zmUh+#axdTemgc*+8+pw&M<+`!93>CB0y=QGe6SrURL<}deixuiUtSuokmxZ#-<`OrM?24VJA+s3n-MI>;dW&#j%I zl|@)QNk^9qC~!JC+@vLtj;GM9<{&JM`+(46_;&)RnYo=Vl@0IOmyDWpdh>2QrIAX5 zU6T9Kv$=72_ZS&w)VTJPARWf*`pujF!1HARNHc_#))~U3NqhYG5aY4zvvY6420q3C z?9fDrJ-I)jEmM~$^h4Y6x}st|k(gWkoo$j;GOXoyjv>sQL~y~q??HjDU$;XYlM30z z2n~DEOlR8FHR*@Hh1;_Yb%iV&7Hp2HsH(0JjA5w&x_4P$Fw1=t6B4o<%&O?f0i{-d zxx2^q-|s8FduzTXA}nG~?8MEN^n5L_U7#$vB>DI2Nhn`n-b8yHo?01^6vIGY8^A<( zItZ`*AT-BZr^R-8}2E3MDvv@D715{BibDh_@fB*jDp76k80lJal zmjWHIzq7Kkc(Y9^406jC1LrE%OwjfOSh$k4)+|pmNtE7eJ1W|HHnlbVj9p25^DKQQ zY|BjB+zOp{7jCye>E!a6oFNSs^X~#H)%aqbxjlcwxz2$KFIX*vsf^6UieNx_3|o#E z8TT7U#4#axkmopgc$A5fYf+V(Q#{6=vqcI%>GlJa6;K)o!$9Y5KveyU%jT!~^5sig zj`6j|D6!Ve(Y8@1>)(aeuph&$^0Er78>K(YhCKs(lA#>V@3A#oEEzzCo9?)cV#GyU ziTA>13d*BLS6(^TpYnh5YHe_~ z$#m^^SA@dUWC>m@6?O(fzP}9ZE3^k!o$ROU1*+QmD?DFns{+2%PP}mxf#DQukFojQ zQcWn?corT(PM+#3E4~rTlKtux)x+MBkIh>zf`W8lepUc8-G{}Yq@=Vs)gNOBwFYjb zU3WU@+FUb$-Nh)E_^XRBH^Y!x0A)@Vb(*{j=}VTpC@n2ru`%|60GU=87SQb&iH$59 zaoDAg$%v(%3?+tDP@!i7#K~#qAL}EyKppU5v26ox_u~>3vC`xXOh6{29s}SCDkWtg zwq*YE&p!q3{{R%*uSv528QT0xcz)q_Bzvpy%b9+D3yQ}OMkanKvbMwQqhf6umaoU~ zi;J{SmcrgBr{Wf1gi+88W|3?wvelJbAAE}P3!)QX0&cgas;(XAv}}yT;`;$lC|tkJ z2?Y$mqQ=(Itp~-18sCCh_un!-HKyg-e0d_;Zve$LJ9CUzy6y$1JB`+%Ia(eKH?{fl z>~LUUAfA0?vQ<&Ys;TYA+w(3ka<*%8eI8Tksah}-xxdz7(WI+Hi%$*(uy*`>cd`A` zLqn*hR5urDXq1;7M=lBqqLkADa4i+q5H}l}ERZI@%H}Jl+lQm^_ymBMx7gU&JYd}{ z;g;;69yxdZJlb}MCqls1pzwaYh;7FNYyh5B_sX5^?d3L2)yc6B_8p`f zX5IsCU&1-=5q)-4TM%Cv&9*veX!F7JF zs2p|yq=*PKMG)Vu$D5)N7@vZjK5-SGe}%y4_-oPrW>k>EVl*nU?bHF9XZ+Q%Qd``I ztBwi42%&N#`l_QGjpVZ0$Egj-sW{kb_a~b7=>XtD5}s1f*Z?d>C5|27GNSF;$U9XV z0RC{FcPLnh*!LSD1OR0PstKl}oSS|DDU?bhwJrmQzcj{c5exW8(bQ)n*#z=_pU>88 z?dIQ^M$rK+fVL3*1ps*6g0X6Ygw=NEeuOUf#inyy(wq-=ulyZgkiG`SS>vzOm;FCiek7h!STn-i|bfecZXcwnlWlR!V18 zwr5Ve_N1d?EYh~Y&ky4aXaP!$vD~U%o7LH#&R2nff={13X$a#p95Y-3;AeY*o&7y^ zK+OXv?lx9??8mnV5K|kNq`XS>(=|ARgoWE?ekBHMAmZ+idhdM6pCGUBQPI1*0B9N@ zdc6Pj>zC#A>(AT)%10thh~W0pw=?$39zK+Wl44h=u$-Ylw}j}tUk@a_|Ah!Z)%yiNI2U(1#PEEKs(J);d)VG4gJobi7 zz5&wzdw|K75Iq`E@nE~Wk`R-)GTr%sjDlJ?Q#aS{;K76FoA;-+5?;90!w92x{8UOr zq5$JQ)t-0YdmI`1X^`ydL15om$8h3DjOWJ3Ay)d>D_&V;z;F(@1sudwE6#R(JWq6w zcQ!?fHnaX24VR5C*Ml|>jNi(ASqiwIwzk$9;DJI8SqWWH)rizZF-&#wrJGFqH zpWFXo9YZMTc~w8!0>mM}3$~g|S^P*4@KdJ&hL$jGc)%N1caRPj4 zl~2XLH=FT@$(Nd) zf|1S~p`IvBRsV=UImE$t?4<_gdv}VRMwP^(Re0)QCf;0^31}Q)Vy9jmvAaxjDc?7X zEv}~?&!NnYwWQMweAjSR^XJc>g$b|`V`b3oXNH^n99KuEN805JOnqU$1i%yK-H}~g z`JFOyG2(BxbQ^FR19dI%EbQgNNK&NqFbKJs5u1X3S2=YXr6$c5*TK^&3 z;sgovm3KlR&Ju*3k{Y+T*mR|!8E-b=+3N6WH_%joT%(L{*c59TymQm?>C9wzfz?ta ze2`ZGz0LMwBZK3XW5C}98O>( z0iamU!?d1kwwBFZ|76#f0pYcNS;#`?O7gop=gZUP^EA?X+d`@RFv?+v^9YzY-e0wS z{k>)q=id0)U4*|muZG&-_vH4xI)6?@a|rcnjlH;q(k+B??ixyXs(iqBhA?#>uDuF4 z7)g0VLg;3c^;qjHBi%R1eB4;UOxi{9GkC^#6<#&|M=jLpVYpci;JN}^CmYtpXFhwE zyEoA|n3$+s3}5I+dJHXU!^XoC ztA7qpq#8EKtJ2Ua%H(!|tOKhb|MEVgbmY!OHnw=&5m?lmpw^;r(puZ+(>q>F-Pr!5 z$vv0n6YM%A{44qA2XLB#)aC;AkP#TQ$l}Z!I~2 z_~$byuCWmAr}7hIDIL{)OC73;GZJ6W2e>~TG^jgcblu$ARHFRz*htikZr4{_ct zafPSXkb|Xm>1LESZ2uN#$*%*;o1Rl`T*@|b-ID;Jq)w2muK0u|!=SHq+16A8wzFByiH&kLI(qUw#+I3AE zT{oT`KDqqmh`?U^%~ERr5>E)^BP*#g+(1yr!tiXB38c$?lBmPbUi&{&C;x~@U%2qCfEWH(R#rAJD2U%7di&KGQ5AJ{^%!L@ zFR#P8rj?fh%e+e!9cUJ%g#>;OmkkbX5!Q!aX7j_w@bjBfc4FPSA8GmayF7hSQ<{2W zNL18J=?sj)bsN6is|Wikd)XwKFNKD2BwJt~`}Eh}F-19xfRZgKLBPSatfB9O&%&Ur zYNiLkGeJQ?VEKQMcK!^m8Bzm98Qy7P*v@qB*xdZZzHQ?|yIp<*|NF9vR}Kb10IGxs zAcK9C+0~^7%l?Ou!1?p?P(-N%Tf>eWk9Lg#60V}7yUMo;DgsfWIOl1;iPg}E2(HOn z#g8U$9f9$|Z0P~t+!0Y(Q=n_gGE?fhhI)5eDva=e{_9U@-Mk2Syc9dK#LVzzm6^B5`+j*L{v=Bk^UK zH_-4vMC)4_G`|xnC=+RYLfu7#DjH3rp9I`93AVD}?Skr2e=| z{dsImf01ptOD)7%d58cQix+-&rU3ZtfS3tjPY+FERaO0v!UbTP_lO0%q@*!uNeNdT z{vL^7009?>q=_d-`1A4vF=yjyES(5O6yXnYoYx#fkZQyK7aEz@h_zX)kNBUJMcfHLFw>RLWze+aH8P z);Bg#ECrK6WQK0;oJ+b%X6A}bT}(?yXW^Lq!s?#pPDs85i~ocwT`)dqMe zK(}pB?D9a}r=9-kZD?rn$cQ##YhUb?I@%WLFS#Xce1 zuGkgd-Z7tueQq9pD_P7~slHCbAWYf1X{KsYpC3RZ2L}fi7gu_9&ow6M+>SLU`#8nL ze=h;Vtb@>}V{Xna%L3akkMV|Mu>ceYH(Nluy30eN0|ABR`AH?}AIlD+9<%`k!lt&hH9jd#%85|-~S_)JsT&4XvelME9z7vJEKH6kt=0@U*5IOwr-ZLIcNixe6os z?c74c9&X724blR|QU;h4kTb`^_!AM#6VYg~ThBHzmcM)Vj_45;dsbRrcDI|PXJ|h4 ztgp1#_R^;(TcLN3EXABm|BYLIX65%I<=0RK9gD_H&laP<9O*XQi9rFn=I$>RktW%5 z)=j+0R?*aR`urB=r6F@pKPLr4VZMQYHUvh&_3hd$yePOF+~qu*)PSZM&xCAR>%+7l ziPjs$a&5gs5E543ynQ>wcy?~7HT)O;2|EgsK-(eT!gIO=c4lcGBUOpN&vbH(xUk~I zmWm?Tzbc#QJEqr}8rl`djx|$I0it0~Miymi~*_ zLFT*wKu3s_rp8XDj&EQC-xeCS03~#Ig6=vz7qZAa9H=zj^&zp*T@!52=q=GJetjrN zr}%<=(Kb;`{7t^*y>G96fqnBk(*NSlGL>;xQT3 zt$nS`K2`>`&Z>s(;6BR3_=0JTQOMHGpt&!*ukx#Rl&4wt^qjR-Pz@y%n#wW)-)DBH z$$FsBU;uKatJFC)X`9TWX_T`H*rgmq?^;`12U4bIygWm#mUh0Spx1&B66q*0(BpqV z;Ro@m&_Y=3P-;g}8CS#cM`|M~QEUqfA<)d_Vi{0zJL?sd=X$qm< z;BTicD*ll=i?pBQ)vI287U9Mzh;QZ(SB4lF^LYre&5TQAVHDX9q}sr*8TmCCb9keF z@JckC0dT1r{>Y>Hs-jHL^sbfYT~E8BFY;Os?^4Hxcf(S7Z>%XJfq{fPTBEA+@fLUFWnm0kunC2y#n?{YDq~+g1z434M>X` z$x48}G~P}Vh^{f$%EwvA`@N?`G{u?ij!+lG95b!9?qsSxwIR9A`^0_jcz3IFj0s=; zs93gvV@YgTZ>nbf{E6eoKXbJ|@c;MmppcUToyZkKWNv0I4NKe>15UkiW9$sJrPPr* zkgf@k`n1@t8&Xmluf9zsmrS)eUPOB`B94sf8mfsvjn4l%l{?X!T^-6ZK39bghv++0 z69DQq8?%I)8i3VBBWf0jG|28#5FTKgTFH6&7gW!RZST-B(#E|%7Lf7$D(#4AdESSq zhL+E5IA)2^oRbkM7PJLr?qCl97?1(>noQtw5F+SY0cgM_E*_~Vo*)B(Qfba^mOuQZ zDaXSnvcs4XGPk+dk=|Ayj4TXjl$wB44~d9KpJ>+8rp{E)>KS4DeC@n~Mx&g4>!p;} z)JZd_Ji!4ZIFYX;3*0KyJ+vn^7pi?AwSnxsLix9}W*g7}q!#b~zw+sf;vtc2^55xZ z4{6;>lfN8KE#_3=b5ST-{7qyIS!zotUUkBi^-nb9z*OK?a{x3~8V;MXq2yH@*&1la zN_B#wdZ#L8%eGjk(DN)d}#n>r zhi#;qh(uM;z_p=d1?VS)gbAp3+gp;Ai*S<~pwOv*7ZfZSu2v^L+}_z~Pq}>tYBwwZ ze8-Q35i*X~vAcJ8O3B2|m&%`uBYQMNJy?1z|73H075I1h0J$L~7skV}a`SDmqwht| zrr;HD$JWHmht5ePLqMI*$jsSvC9gSw#1L>)h`2ABd#`p|p><=W4`PR~RTIgsSEYOODFGs+wtjeWzG;@SW z(XSu3K=+@4VI?I<(q0++nr~4La7&K^+&u8mO7)kCZ4rJk1tLdB!)u0`!QYmFR9i4r z6XmCu|8x*TBSKAP9?nQ^22}PeN+(;yXn|0=0@58289K?j!kDNVkXDa3vmI}qy$ez< zIe!m0B|$zh7n7Y8T@aWm{MN4np4m7LUxiVDIGO<;{AP zp`iaq%Y8usG3AO!JZi^r;zf6B1LZnFG`6oxJFS-vkjbPKOWvSZ`zr~1^0v>t{1Ycm zgv?234|*8B)3NROJR>`5SGDt~4^ZH?-;uZm#F4X*R16ye!3@4OlL_%NqIPWqzT+%X zRCKrJ=$GZumuZ0TTCw`uHUl`>$J5*H_oLaZfj~Mf;dUuI6T>SjLvhFRz;fU`nAiDn zrHm1hEVZx(>JymsIM+UYoqJ0GTBrVMZQL!8hbO>V#D|Lpc_jn9B^H{;Fe6V59I6k`o@fI5^tD03$>$J`@-+!J@hDAU3cu!7K1&Y?cZK)Lq$)uUkGn( z{1w0$H1mi zQ@cGE9U7|bQTuP7No638)bJM{pHq0XI#`vI#&%IZc0cEUiycjI2nh4b%Q%>! z5gQ5`mco>?7^%lKM*rb6;-i2s08dUc+)x+66r20V@DdfUjZmEG8J|$ne|=hn(v+>}{d9b954g8G zafL~<8|b44aO;$-*SnOO)SAwG^e!#?_$#_mDv*i2DYUOvQe2$CTle_66NMuxW22nt zDxW@sd1I_2Bb|^T?NV^u8<^DB{5#uU(PJCwM=dkF!&XSsJ&pJg}KGUug&7oLvLi!=Ad{<%65DBya;qmW%*16+*& z^6z4AW3oPTxemR&$(ct7&)^AssOAvQb<4f(a(CxR2C{l4D9SFXL@h+R%4u{>PDj}s z#oR&hn!}27{1mR51rRNm#ndOnEkkGMm%$qyu7J(^@#$gDVuPnbH=FSZK46LJ_p=Bv zP(B-@3_CzD2<{w_s_c4oS#p{M+G?_th2%zvK1;`LJ(juRR; zyX&jghmRzuriObwC!56%t*GuAf@4$Ca@U4 zzC1rtpCS{Io}iLA=2Tjjb^?Q0RD^i%5GhhE1+E~8zINkr+VgH3Sj)s2jHve}4y>P{ zmhO2n>LgJhujZXTOpX+ZYANJ@2FG4R=&f{*zjpUJge(q5g7b;yJV94RVdql)IO)D* ziHc=ENplMeYp}25*$d*iMo*^!wOI+~#mLRo*$a?AbF~ zf`qVe;VbUP0w^Q5b6`NNSpC8|=O+n1RRL5rH^^vOdiDPaqWHh{WA}HCSn+}e=4Rbo zlWf4WVcI`A$qwLXEukp~ltm0=&Lbdqdg>8y>FgE(OJ2L}Rt@jt!H$W_=x)9VF=zb} zbDhf;ktsglhsx(VWs#7EQIW}Ar#xdg9Kh<+jJhuJPGf$&gxO((@;?v!kT5Oh_teYA zVHZv3l&JveT5l&yY|opLvf2cFQX|79;Q?Ly6BZU0lN%t1vU)AZKCTDO?Ow2C3X&qs z6!w)|!=LWGVo)#AX&M;(j<|=-9H|Q0!WoiBKdR4)lH7wt$@zElPIO*go?Q4z2**&% z*?fLNPR<`pnVtgnOz;A$ivy-&)H#T;dZTs+h_SfgYq*Iw>_3-9ljD3#-nNR(0q#2w2 zBM&NUYODSUj?ap;E0v~N3~nK+0QofT-c5kkAguz8r=*=nsHrr+`|EO73)}>g^L}#; zs3#$2$p9ACxR3!AdFa8ms{KLKz5_`xz0Sl*@EiTj5`u;i1eH9%3kC3myY}0+45$#q z_Z8@H)+o!PY3mYf^<0y&SA48Se$zjAT;QoCflNCwV8z)d)gGqM|23vGu5!}LA_%jj zo!z^G05SA`#X<{6eTp9D7)f6$FPK3AptOP&E9cp>1E^aIb#Ce8n(%Rzt#|>XJ1yx^ zm_wN2h75cQX*Cegl40t)hNtQ&44NMY=0c@JdFaraA;BbHk5iMA0}}V{-78RZ58yl2 z%o7Hzy3O|bU%}g&E15+t8;8T|h@6`RRZeb4UBs;3Fp z+*`14BQ`(@-;ryY3&v)3)VjiM{XdkPV#ljYQ{ZC(CN6CLN^5ItC>}rT^06SwwD9nR zOf9lcgDFcH|LW-;uTh!3E8yNRJ>v!MsJ_JEb+EFbvBu(0e~U`J;zEdR4}KUbmzg;& z)>(J_SOz$KZ|`he8T-B9p(5rkd9(2!H#Qt0uS%|V-2+Ne z_m=q+gId=eMM<-B@)=tybQJr^wC=^1`YSV(x8L!YRaJFA}mz>2%lTy0b05$;ylO1j%o)pKn*w z(hA`(8GNFVPE+|)sQPSOQMic*7F?7Xuy201mu;JR_v;2{Wm}2};MprctNINc8Q9Rn zn2mFBTW`}<<4Xqh-V-8no85t+h z1Z9t*jU4#$r6w5BII!Qw3f4_UIjS1F=T9QDHxsp@bqED(=-anuE{8cuKuif`k2WnX zenKX{x3b!l{!2ys%O6x`)A8tRPtTIbn1Kv80-M{NU<}a7Q>8!$n&@D|fbCHsW)vJK z2KnYM#Bmd9DMewrI7f<^KVZ`eVc(ctd>4eJe4Ec-uc1Q}>U&?{VaYX}&pWw%XZ9P5 z{I|>U5CI6_C#$QxACi#}#C9Q0muhbQ_E3-#N4{juC5fIo_bEdR=TUZA)|O&>Q$$s7 zLMSh~_njJ4VP)txd6ENi54M~27>KC3$gmHMLX%+dYXx^Z*hezhPket*+1{q%wh!2X>iobq>zkF|2o$;uD$3 zYDqXBMyY-cC)w2a*N7%_T4?~`2mHAMf&0q&$2gh<*%8cFdtpr5D$Hu03052_Hq>w zNMsUTUc!$$Zm3JO*a*E*R z+jGuoiB6BP@bQoR!lb@ovi+*u^kp%7c1z{G9@4r7#1k` z$G3L>FXa9qw7?L1gig`Ttpue41%(@vKYp_FZFu{)2&&R;t@cpowARfoS=6;5=KwhP zL+=)091iYVAt+{k0;5tBKoic+=*w6)^)5M!ry%Jh{^P)#*w|Rq1^Y7dy7ki9+L}=; z1R~TghiGFd8dB0zk*Vj>O{*$RJT^GAgL1O&r3WnU%u)V+{>3mipP&bZxB@*Y zlV}wHeI~&-0g}2-sJ{mEP)JrRPVpeVMWcm!dW%meWQfSVyQdQJ`sf1F*hc1O2Aws)HW56>L8k+%|UBC)2C11>-R%wxxqCvuNwb zJf1y#vPHGWlIuLrZIq`k z-&fmTdxrlMzCA0Jul+OKmj{}Ei4se%z$sCyO`0bJUc71@uqtaz2+weV#{syX8#!fj z;-J-YbIj)9@x`{vE!@}^ZCzv3xT0^wj41=3ALaoEG`c(Y4LLMBQDVW-g@qLf@R$b+ z{0T3!WM~ptfl-e(z3xGTW2yRnlZ-rIbH2({E+C_^diHK!FtqU);3X1Efi#F#-zHf< zfOf*YW|9%6L$B6IN|4$M591FkYPnAq^k$TTU#^-Fu}L6IzhMoMEsg~)W!#e)lLf;0 zLm)mdcHmA$@2*p1qfK0ix~GZp3k98$uE~W8jBE4r2R?uPjJ%3gZ*=bLTaTu}U4ijB z3^jrRgDVDF004GZpYx)@48BC4JNSa^EEYP{-mv#Q>Ul`73pON&8#2E#F?19lkhAwW z)EoufnRQ$ed|^`HphA!47qYXbdKH{+m53Hcy8zsh+VI#)O>aS#`uB$ah87Ud*I6*t zqNot^I`uy;1U{_n8oE;N^)u3*1QB#hg`dFwclFf&_>o5dR|q^G13VvQ#0qFzR4t&2 zLr#VQegOske|~|%+=0dP-+u*mzAGHMpZI$SE}5uy^#=)1QvPkoh0tw~~;A|9AFXt_?a|exCIwS15aeM<LFh!b5@yp>vf{<-9BDDkET12xcxN z^jP@N(9u#A84ABZ;;555scZDPj%?q}c_^fDV2ReqK7#Sv-gm6Yi$P5mH{4TfkDxZ) z+4LL7r~T{IR$4oew_78JYJcRA5jGm0Cv6>i=mfADA{MMxCLvu$#bjUv+^>AgO2*5n zF=_96Wy|tNhMk;p6=Cf39>X}qlQUyxEI^pWk4zFwXkBFn0GFk=kzo)R+Fz9zPcazQ zq#5TZh5%2=HL!hgD(^2bH5FLLY3nU5E$rCGwMGLKCLSIh|NYU>sQBJVoB?=k<9JJ+ zUV(X6V?pl(X&bXTJRd9h$kTD)Z=ZDEX@7O@6%0o0)W6vYv#J3Z7OUZOxl>har`Tg< zn3{(IBl8n!5wJ+^2+YM9_xjD5fR`4NM~Vh>sl+)*7RFNG!iBA`)`~Anci*=9qSeoH zteN=4lU*;w6sjD|Ofr;i_#|U|;8IT2^zs07jHVVUkz(Rx4lJK5G2)k8Y17QmFGzuA zOF*B#SUl9diKsz!c*^0E)2GPRT4oG)B|0tucD8u3Q1&14pKsD7Q*(nZ>?(a zvQTg8<-EL0s8hv47o6~7&9xPWpqwblsoM3J?JLs-i4Zm7KwY)`pROjI@PLBru=G5U zlL{nTnw<;j52fmTukEZsR|CFgh_ePvl2@P7FP~cm_7IVFP}FkNTv~>1A8ViwkPPmz zJYnYIepPvYG}95-O{!vN4xcP)-~fxP0GI~z`Cwx(!5};XQBQ~{kqE+`?N2<1PWaOk zGW#I`nJt0jMop?`IE>%l>wbj2$gXhXM#jUQ?cbdw7|t_=aSZ36O%A$Zm}GNEFE>`6Jv{pDu&L}om!|>R(Fuj{ z${r*u&;l|7Kh^_|23h14qDs78R>cbN9fV{p*!?2VK&zc=VhnSc3N+`4z7@1np=*WV z=mG!;H&vx~3Sr>m!K=i1?p(rGoAfjQE0|R{BgGRi0oE`?GIA@db*TpoaDJFddJ;^Q z!V!<-M*O;u!|_sAyrFbQ-b<);Q&HS(G}1 zp8F0t0e^HX0_wJcMrw582v1Ilob>jB{EGo1bTTJH{}|d1n_!x9>3LW@2@Z)43RbVP zSn!DA*`Y+9R{4w*RoK^D5$*vXi#nVg$pXOr1v(0!Jjcx6k~SE1UiPtBF2Gb zx(Y59cmBVB|8f{OyMGfH$J|k!dpvw)G!hJfHYi3xeHjU7N5Ih>@zB|32q%98qo1u} zy>;OD2CWzUxDrE0qY_Qa*aj57GU5?H5V>fx9N<-)PW zFO#@^mzc8hQbT=RT?;f+Lq6rpqQaJf34?Ms$C!4$J=Y?Md9(2d5*|yPN{P40e0&>tHDh#6vt9@%R6|%= zfvoD8A`M6Apoj_)q=-FT;U&EX^uyuiE7lCOK-|FWA|oppfEVM)D=>ia5V{zR*oAP= z2GkG{C7nXxg^qCl``ye5=NP(FEgro)I&EuZ;+H%G>BXg`eZmCtJaG}m zSq+_v@th7;15D`&QV$Yj^ajGt7U}?0JwtU`9wrS2CX?@J`wzHa52)Z6)Jo_CtQZG= zEIO48n&Kr|-@bhdfwQVEUjluZ47r?)02|dQfb`I|CW^`d^uzzNf9=8dOH{~`3`~Z{ z;i0E2=#mBdW6jEko_^h5WxGdVl|eV8+F(AKmmDITHUqQB`!o<;ilI9Ws{41*q9io@_k$nXE`OnDQ7q9q}JSZ zbaWWCp+y0MN&5j8IPABIq5nmu**ywqMzM53J#iR6N`F6-XV8ae3(z)Z(l)2`20EJy zuuu`4&w=75{G-JVySN-o0g$f4*@4@-iB1Qg=hcgY-98;3z>;6G-*+gZfFeZ~xcD!| z5kH8kLR+R5^hJcisa?S4pxPb&iA#W0dx<6DF${sTPYVtQ11>rnPJlvvH5!jP*PwgY z;D21j2KX9!knhB7KpeO4W+02x0(6g-4Ju?eA^>A~KqovL6VVtUl-lf)TQVFdm_aFH z4X%H67>jIvG!9o3Wr&I}{m^-tgb)QN`s6uQrw#%~N+$z-9Y}Tq)ogitWMf*9VKwL=D9h!R6PwA*GXlcU4;vDC zXWzrUQbAa?g{DcJ@WXKj*e_l*G)CJ^hGFfA1o*%WK%hg1ccI0G5*eBq&>GRXN??-x zM7WNz`aFrFFL?zK8N#^?gemy?bQlX&gipZ~35k*n1t2(@A)g?O*^@Er>zV{ChpuK= zBb|ZMUf=|vPs7?sQAhf9M4^@z#i65v} zzic;wmn#5}z!9IP;{^Kje{SOjp%DV2%weS9#e+HshwNGCp~yD)8YrADIWv;JQ70}D zks_-7X4yq>VC6jr(S?=}^#^?mlCUv`R{_Yz*B`MpL+h>%3P(RaXvv`?l&4{6;5Q*x z&_$e6r%){kTcsT)>j5-Uz@OH|(VuRrs_yC5!`Jz>pnlXNDyap{qhNoq&_a6)^|isr zx#O(N%|q1D+K|~r-w+QPDHI%-)w_`?uw>kUkn4I<2g3&( zM#%u0+%Lj8ct8w>!{2Z2DLVcIp&Ho23z5?Qy9%ffx*yGzC`tZLac3TubKd^_YciOT zW#&ePL5$3Vi5V42sj(N0eOFng-PW#E_{BZKn9Gt#g|w)ILZ#AZ3~93^v{*(`k*Fl0 z=XGAqy*T-p>#aSbR5Pts!*#T0 zkfEI8mPc-J0xHuyWt-neP@yXJQk$ZZDBjWQoDa|~x}vm9S?f{v;5Va$YJ>j>jT@a6 znOFN|>AIeYunX(@?46@r9k78#mTCij9$q`{DB1vC?^pj#VMb~;>hs>cAqM>F z^>swFjoENrA49YrlxZA4eV4AEExF?mwDI&r>#mBk5BkSF{Ap)^|47}I(O0Rs6hLAQ z$S3@oh@+p)!-yZ=zK-g}$@ZS=Z_Vrq0@ke8;TB&n|6&XJE34gm2LM9hw=+yBRiCY_ ztt|+VP)IDCV%2Yc+nZnZwJezJjj{`!L~dZ&U@-ve zw$|+~&|T|Od)rOr-~vX-HwW@WjG|{6{2-P<;R|s!K<8t$oO&l1SGcKrySXL*+vg7Q z{LE8xGsQt}L-p<*r9YIGZIW6Wrbvx%DY??`_h0N(^1%;0R` z9B+a+KkAj!55H{NHne3t?+Wl0qcz!odFbaVIy{e=ue=bTvTF)o6ea^!Pn*p1CRiNr;rz!K6D@a)x8dXv8e%v1fW>;gr>}vS$d@wDxuo~>Ze+UU2HnLkN3m31_8Zc;QC`cwn-C)&)>F$A? zB*omnmhfM?09;3B{8?4I$FNIZVNX)~vhOOo|%#u{Khuds$#tOL2F3N|PIa;KLG{?hkz zimEe(!c)@ATIGeOQ3(#bxcFLIkdW1jGOl{y8D)3*rD{vA+K3~TKjSG^ZEO?6@Rgos zo7nY(8a|*s&s@F|L=||Bf4w?j=esYq(4Xgb0dzY4{Vjppw{PE&OgjaKO}FFhuB5%9 zee)MON(w0m-Kh`TyjMgS{0Qlh zh{_@>X-}_2W8PB#9=FX4y#BF}Y26k9FsM!Wv+H}*Hc=A#6?Bm|ibX=Zyd6Tx#%le; z_8F-6Q8M0(5M0sGDcxXFm0rB+XTAI*V_n_d8z0HFEZq6SBi}2K2-2hOBUmYwJt~N^ z@Y}G85O9jTesqd}&VgdIerN$+e_d)IfT4@Foz4xsn0D%5R4iQn_8-^1kdMnUOpa(d z3B$;2whA^%KVkulC$6k&(dB0O0)ks%LIU~t#v4U#-T6n`mu=l26^pda94TOnkP@W^Z=FQQ zYpnViWa4OwdsX3Y{|10tM$o4oLlWn3E zA&Wuqo7U}ni=->=owH}M0|8J>yAaXoNX(ywLFdH=DE554^M@&c3qo%@%L#owJ9NwE z3T>y4-R7YK0B42K%2f_TNAj`CqDd#=##_Q}(jI;z6I)?CZ)!lz519aHzoeYp~lu!cj^A5nR? z6LY3QfXrQg$>E3Sz5Lzhp`Mejv=|xpxiM7+%as{L-^w6rBKA>rxjX60Dzd6|-EBKj)#y-DGd!22ga`*Zzg*zwTA>Y30w|-e& z?4E>#EDG^bMRD@QCj;y1p4EqcDJ1i<;?0{k8|3#Py9G)^I-*kW*c2UTWM^tpR(9w% zlN6psV_}t%$fDkPWUhG7`9PQD>Qri!TG=6ge&J@9R!sS8nI`<0Ta+@7s1VVe6zjz! z*r|CRunQX-FK*#vvgVM-m0@+&AVWDZFIIOrp9qav=>_*)RJ>{w7F8PskQn{ z=hwUHLz`g6|I;aFYw+1xW+OwZlp7v|)EMmht-s68d%2&8^h(`e)u)b6DgOScL%GWM zW{syMxe1z=Zjo-GUt1i}=BVt_QlibGLX3B-ayi8~Y5vxI>~?eTq5e72H038#{%zfu zz9Px5)jQ;F!qdsN9_ro_O?@kSRE0?&WOe!Q*qb(28V*RhsF)7{a8#*I#bn##(LO%l z`$6+1e5f zJ)2b}UKnL$S!!cmb$PHE&wT#Aj}<4U(rThJwbGp+cm3g@v8x7=w-G|IA>7Q`c4b{Z zX$MnRE_M^1gDS=ekRJJ9yCCdEK=dTlX~vR?`q1~?x^)X)j<}HOiV0(v4?~1LtOh_t z+ryXmj*j-_h{|#O+ukTz1;`c^dj0$7=tH28m9Q3Zl#e@h^f{rs>0kdKN>16TbGZ;D zC_#(2nZpMX%j^X>*k+C-z`L_8`{9+gGpu^;r=2=o{kOlig;oKHLinT$+_6Ik>1p$W z1Xb_^gaOi|1p45?GMY7BZ;=&@A0Au!$tR!GErkQk%lL{07h4K$X{7D?-VOHeLH3DQ z2O=hGsnq6H-?$nW3P(X~R#xz5*K$L^9ILd7QOb+QS=$4ClinFb%!J_yORwDBB;7E6 zxLm89gmm_}RKeO7za!C>I%{+J*T^6UL8I4Lb<{1F5(Ov0JLjiva`zPmuSnvDL1g|% zR=tOx7pnzs`c2sSBi~*f)=OHCg1-bQJP$B(n~a$PO^S+L|LQbRuNN**SXG-kS+JvD zW-WsV+F~(r3RXKo%c%q}7Uy>BZ?r#pURnObb?Y+M%9Ut$9Md7AFROh6al>fp;9mLG zL_EMNm(7|dF9=YYs(Tx_inbty;stbSis%(dTU>DO(iV@K*6u19o})cs*7gbVo^Yzj zc0!v5dRCM3P53Q34MOMxjl4j>VMWJ2s`x`DSfC>-Qx0U~Gdd<)&*EnFS2I08`J=HQ z(gyT`7mM_VLJ_p9i*Gl;=kn(V?Fj7U=YK0qbFu#)wAa+)hbwGy^(@S0Q;@u*I(H|P zW4ov5s#M}afQ3&}5>M%zkk~k2#26so6g$wEQ+D1RK5f+{q*CGLZ2SA)d8YG&SN`1g z7)3C1+xG3rX?+(4_$i*XTc)XKQQYZxdP%`AnkFYwQpPklJ2xa@#LH}%Su!_nzD`_j z-KW@#vwpghN4@^&WH;5@PPU9Q%}rhV&`!1O{$l{n*5_mTb`{39%b33NgVlomdWY(Z zd_VuIl>eZeDDUx;^?#g{V;ZR3zaJ6g#q;*J{E+i@bm9^U!yJ~mM;ap<2$d#r+Fo3^ z*P->ro9H{9<~v7Zc6@Q?6w$stw6OWXn>zhZz)lytJ13V@Ph+x5eDOOP1{B2ZA1-qO}4q*$pGjPVmfcW`uqF>a6gg(P^XVVt!#}k7-2C5}ZnT70MvZNya3s4au0&4bmw@ z`w_caFs^OFObi*Y3%2r(-lg=S! z&0DpjQS4C)(3M8?zI*Qn9Bgs_AV7D7Qfnwy6(h53@4jfvG*kty$>9}oyzXC5zlJqD z-dNO6rK9UWBa-iQJ>L}^A z@508C!;j0I7dv|r{gs;{#r5aFhslJ{)w^emQ>ibE^LuNLifNclt;XqpOylX&Wge98 zWLnULhNGbOL%)bF3KZs>IPRS0) z^z_5lk7Oc{<+|V66Hd$lY<=t0$|=vG7yKU9>!fde@@d52cT zYCkgy!MGBZNV*BM^v~;QX0A@Lu6*-meHWC$rKF2c!d}Xz((jkVROGc7mLY27vpv3e z#tzVeoW7Xz!I=nKodzE2U0wF^rKzV$cz|3#bq^OXKSJ&@wFUJ_nJ3h-YhUf;0%f3uH~7oD9#dks3gTbU!35PimI6q7Bb;{%}CtN zAIonJZss|Q$eA1oWYjB4divo(&8JSSJ20AKQRo>Y$ZnaxqgCiFW1q+=r&pGrK(~{3 z#*$j+kki8W742KQ)bp9NjE=LVQ9qkU^_t;FuQoJqdvjuJZOQ}`x)!IbJ1jzAI3*E0 ze+!*9nFb#<^Lt6P97$nWGl*vxAbL^HEuUB%R+M18u z_Dmy`?laaS9=X<@&+jIEQ}~KKXU~*?G>Ev39A#NJ#7JIt@=@wJKbm-kp*|uPDS&@! z|CaDs&uamX6ZjmnEeIWQQ%{D= z41-J~N{ph+1}rXyI=hw5cY^kiyyY)~*kb4%VHz3O04K0zQf~pR7hLIY!e$eWiX6R0 z5_o&~c{~)aSQD$ULh`b;jgs`+57Q(QkIr~JU#xF`&6I-k4VsaNaVDxXe8ieOzkk7c zL`H+s?n~LHl)RHyTQQ{hbz zo986i72XETHy1?-~4xD#pSQ4ZBW_HJcuY-emdQd|XS zoAqZ~=uJEoU=qv3<4s&)d;$!VN}F6%1VA**UcGJqKUwK_>72KLnl&cS}RQ8z+ z{F329j1o8|U@B4YD)tuWmnipx7!i6MWT08eYVn1-~uQEP5s#)!gDgE?ZNIm}geHMNGoFOj~DP#2t_vD z#W|Nj-|6|kTfd{X?qu0;Qmxs)f4{G0p#+XVVfi3)?)0{(Tr>0vt9LCaJ;G0;?z@dH zPhkJ(wKUe)F@S`^T;LP101SW02g?~!Yw1l#+ZI?$`Wn&5525?iI2}~m<#e3C(aqt( zx$#yRX+Ud#VpLH*qaJjl>OQTTQ^5Jkh$fuN^o zDSMT_%7hul;4n?$kE9Rm2M6jNAv~Msgx0**%S*j{ zq8R+qTSLS4$MA6(S!tkEmxYnPgjIz$xiYJO*)`bY*7}Y+$5*_&P`DZaB3s(Ud7PAk zI44`0xy7%*&K=~N5y!rpc#!ILD$tU`SIza62N7F%!ulCE_3Yk#WmI&u&uS`v#`S6=SmY#p${%MC(Eqc50z~sA=0ugYvqLM zJIy~_vV(gF2UCMYxk;<9E8E$sQDn@+DrzfjFg)$cJ-uXJMrBKSs!%nfwCXu{BD0-` z0lekZ46-c`P{hHgMGY-31x@FecH=ecZ&h~CL;|jvl^6<0RakV z``R;_>O&KkkfdP|(kd$P_Itzchny3JW8&=}kqRJCyX5p`xZmp#iAMlL%A7P@(~!FL zZ$t}(a0E<5Fno_V!q%Mn8Y6SmatR_RXkRB9oXfT;Y+Xfkdv@*p+D4Nl=mp?Mb9Ku| z76C*hP8cjoGJvtwUeq()ZWe5K0a=I;KmF|afvd_+U&JQLJ(0yrEXu-*Ov*7)^lWMb zC?e6^Jvj2emgF^u4YawiHl_9c=(XkXgjb@340FJVEit{Ro~S-5b-kw@cR0J0(jBLMMzPTmm<>L?b}uCN6g z5R>oav+4j)w6LO;!s`|f$_ow^J$ErTGrJDr?A3dJrH}R4lETz&Lz^;ham$GnAkdnO zJX;_88Ia-&{{}1hu=&|S;*`pIfA$*`(Gjm}GU;i{5J#&QU4-Zp`K)|Et8I9oAGOUB zB5otz42hI#{rm3&jhoU-MYS`kOLpD%PoBG^x(WK6Ov)-4ZjuOX4t_UvfSF8}AWlZG zBbLX{xEgzA?a6$%;*JXoiu2za_8O)1^iOnMp78H8U#^22ItUzBfk$+UZ1tTQ^AMkoJmdPv$ zkX$rUx-`|-&nOQ@h#^K4M5PU%`Tq417Wzk?$t&OT@aHwPE~&r)?;C|r5En{^t0D3A zqC51@D#}r5jFb3A@OEAt?;;@iPtTO2g(Ino%=~jY4?^=gTYE3e@P)eRM4f1vU^bruoaTH;{J=g|KbD|J-t^Av9 z{0OL2^Fc`%|K_vGL&okA48`C;!getpt{uP*uZ%=HTU$ri4>D0t%gfv7@w376`pV7n zkkkK&ka?>RW{gV;;F(P(_PxdB?6otAqk&_WA=wLxBJ!|hgRvD$M;)ED0Ba_DUbOjM zJP<(g*qX|W0b7>GU=(GjiR@8rGH^!pDfeW|=;66RhA;t7fpJ;jx?~E|OC-&i6V<*$ z2MzBH_(@W<+@_YCyGBp8MIx9e6$8=vK?>1ZXPUYBjVYRb0%7(VzrI#8lc>*bhWeSg zZ(3aZTS$T4MUegpS5bz>kQEvyzElW!W7n=-E5e70;l7vRd=%{Ft8|l;4Lydg3U9A9 zB&%92U_%@Rqz_UX#Z$vX_EwyZkX!ob+3ymSJs1^5PJ7CZbna(3SAr;Ew)J*)hXo)< zRg&Dq;ium;NxX!^b!7B}m%k#Frehbx`useK@7Ad!@WsGN~G;p6<=vb&7F0$r5DCJj@4 z;xRFp?2?;Y>oFn;pS0u-9Xr+#Z>i*1DO8nVx@>(SmrO+@D!Ha1;94~O-yG)f zvtJM0@P2bvgB`?)E^~bnNRH+Nu|Yb*OiBc0MM;p#3-&zGq)RG@%odev5f?7V^JKf!KLO>(6_iRVfi`Tp~J#pyhJF~<_Nb4QB> z!A{!ONL(8WU&CrpR4X4WlmZ5yC2~(yH_@^s9vu?PQVlm>T=cGCWQ#`%SGVW|qLJ(-^YaNbFw4!MTl*A4njCED@u` z%q93BkKl!aB#^pyYUS4Azn{lmT@!YU$Uy=%or?`BsJ=XQh)<7d$&ZD_Lz!MSP5z;= z!S(%uj|iCq`+JQfB9R1Grr`=v#du&0PfTUbHlVmb>;GlwhvVAReaLY|ahF3Q6cpBS z2Eb?Sx=}KW4R7C1a&nN~3z*O%^Gs)`dlPfXfF|M-)o@S@W&?ZBYe(R$>oNw7lF2-b zN+T@o7*Zm!ej>&}#@Kqa()b)!SXN);I5;qoDsg3o6M@auF?%a>kwnS>Un8(`f1)Y1 zbHdn?>XJ8Ap%zfDPdgnG7LllXvihWh9d}>?FM8q}rqat=_i&9iOPcngJti z!oyuuz395-ZN0?*sIdQE3g=Q%S7-__Cn8kphK&1(AAa-}=)iv#$JG?3A=28b>n1vg zTb45*OeWl7UDMvbE^%ibQQWk8ZSB17n?6#A=r5#&KoXU?GFVSG0i`v2WQF<|xI`A& z>{X`}D71=z83K){8$s<~XiuCR=~+p+7HJoACE8M|iBXimuu0S5mDGEsO zjb)KFg#hfGP|tMHq4;)S6*Ao$5~}$-XOU9EU5Uo9fMQdeSIRVFtC|!a^~dR2T3S6? zUK6+oaUcIOhJw138>?lP#@k3 zlWx3(cUo1{Dz1z5#YkFU4^9b%AOkrkbi}QGzD=|zeHK3qm(cvkv!Y~bCZX3g62-x0 zEPPY^2FAWydRHBDq^EOg?Fci-PRM7gYD|>G_@$Khg}x!GFA~>=`P9BVzB+IJ_d?To zLg>o9QlVds0o1vExf>m$@0dxOFkB6Ok5q*PcLj<8M_b`=*B@@6+kL+#vHw!*mtwZ} z8dt{rJ(WShsvv4qxKFKtV5~S(;8);A;ka(m#x$;3O1T8#xM8mCG9`%N-B*YCS!0TOiJ-3Jz)RZn{_xfLc=0!qrT%18k_ zQxLyFzociMK10o>+Rl`mXOBm^--PEqqeVT^vH9uB$F#1e#a-{aQEw{_d%V*Z( z)EMde`1hZ?d%b)#=}Bd!D|~_tc@^AID#PERqM}Z72=#wiyL$ENF&_>E`WhP>$Ig#S zUH5SOxD6jdsUue+$Liz$%1)o>w=xZ;%IjVfH$1onWxix_pRYPcWT(3*xiGn9xC^ z*OXqtRp_Ggi(JuTsw}C{=eXILgAqL^{mQr#8yA<6^xk`GY8KwQH8;DlAlxLJBQSmX z^q(9Yh71}sXwkxj_HWaJj$ENDSWj!{TOA!6dwcD*<>|3a#g1nhUcaW!1ze{rw#bqH znhDs}?y%0MyLg(&B$NqJK|w)YZyOv~oIZ|Qwr;J*lzls5gx&Jx19?J?ng)sotx$#o zzCKU5P+OjHkjK-xYggNK>%L<$K^`^YSF~K-cCDo+mqYcVfQSOFn2m?Ws0kA$bSbW` zsmZ1Kb7E<#5=Ke%;sgjCx)$N}boE?G;TswoZ7@O2ub(f;ZYnkLeY1;4^O*9L%zn;* z+uU^SkHn~i1f3aSMmdijt&r7^ojVfM|C!9fQW7;BOG?reu_r)(BSH9;VsZyBQ{kVr zKWddmyy>U3;p;j&IXNvk!^G!z#W&k2ZfE_?Q}JfA&WI6-_s&u4+VWx#<6pmSd-*~Y vy=5@a&O@FrKy#T2d3(5`DDU+CY3(hbni%JRfTgx}i7txek5-}*E4b9-|w zOw<@9jm#ruX6n&F z9GX8a<2F8G&yz_M+*|HX?>u?j-6M1nph>(zSv4vB_U$dM33CkPGE*Foq z@@nEDBA2~1nH~3*u!WwB@;UB3k`X+5K+b3T;K74W?(S$xrN(W~t_w7E$MZ2{EN|AW zew!i{JU`SvwZygX4~oV-Z%RZ4&fY2+F>fUs+znzT?B_lg8xHy%?Jg3K zkx8x&<@A(yeSe)y%xO$~&HJOtc1RtbJ(mw`2+^$<}X_69KpMk z!&xv(guPzfXUEwJ1s@i=VwGhVmCb6J zg)WX{a;r9Y(_|8*;qGExBbzCkcAbM`Uu>gEEKXs>5BB>8HB3!srrrZ?%GQ+ACLu}h zVrTR-I3c@98zMBD)uB|=$x1@oQ`_~icO$jfhNFcK7ZcqC(TLQYSxO8CXW;{8VUf;c zq$gyCX(!}7^S)*=+jKRzV&Ts5{;GVYiI%qZ0B2&WtL7adK#!5LmeF*4ST83pr5*%ZpDTN^F~ ze-x}n*OT?KryixSjRJ^SKEM{5_<=1$yXy3D)j|2q6->rAeq~4zMigw%eQ{Z(Y5q+M6a7 zOU!T24Er9=&Ye-UlG$pZ^Xck)UEQ75`$4^_5=1{58-0CzzUuWPIG^ngr<2q0@I*Up zRCu?xiamY$wET3ZW3)i~Mf9ow)QBeqIU}6o8A7qJNSuN%XhcyADx|`^kAclo+p}2RY%8~R{CyjnScBCt$eqePyFS}$Hk@wZo_VFW=s9)*QcF# z@lH^iOat-bsoxnlQXLX18MWbHugM7P-(q25`Q+(ov78!N=yG!KbQP9eL{@I4pX2^Y zMU}3)!=Lce{b6;{bM;FB6aq0bGa4bGp)$&x)=RJ8(^}iw&}UjG-BMt&i9COP6Hd_B zn0{E*j(mA}xp||GTToEYdb!VYZEfvoBpKmgv%tN39!{Gzk+clG#nhZV3qq-C@_SU;33SE+IiT$m8pC zD+Sroi?DB+m~mm1);!%UgZ4q`cG_T4Ht98K%4B;Y9!hNiXYi}m#R-H>A0m_3%GemMWV~A-pM|2f)}!xP4VB&8$b3Vq(drt zhjW4xYU9e+cUf{94p0Nq<@3~x;a0m{oJ@Ddas@%nv4D-v=CJb~<*2Br7{_h#;RU5j z7<4^99;*fO-=0L4>m|diMnm){$20@h_pLVsPq&^?ILzbMp6*C=3tc#)BDr;b73s;K z!NruTJzk-+)5!Y=wkIK*Zl}iS;kGjz)!y1@C?TEP4RZ3XD?}%Te zoNe|m7+;4A^8M|q+v#=-QnvE*nV}XnLiy`x3#EbXf4w7;Nyy|3`dy%0juLbi^{x3( znH?yIaB#$^ouVVvx}$|y74wEGA}?N4UF2PyiwX;;x+GKvka7jW?tp!;xpgpZR%Ep( zjfr>XQ{!*6y9^AU&(BV*_LhD<-J~ffD1hU-rQ8y4Hzn@q$eZYTY>;&1>+6eDg9*zH zhQs6I$`;nG-QBqw)RgwGZ=%(EeG-5Y5^c#H4Av*BB9%%E!$$}-p-wvQ56TBn3MDlA z6Cs~#4!bE~dw=&QshN2r9v8Fe1UJ%>oSk0|XA~jz2F^z^irE8dX4Qq8ziiC#Poy6u z*w0=)Ms4<-9_>1uA1x{t>*FKEZ=^um^T6(KOVhOC&uuR}(w{#(aiIA>fGxJSF&PUB zYzHdi&U)GOP7{I5Rs$BLIUJ65jBZA^gh*4@E&T1LHBKnb)qxCcT|K?3MFA*))EXNj z1&somXQ*i|bgRv&nlyu$1-SBE_4QA7VL?ACt}8F+?w_8XCgU`Ya++f6;nzMtGs%bY zstd243_@*88eP(D2_)~Dm{38T3Y{M|Uhaf-7q`vtdb~_Sz`WQUZ?rH!9|cFb02^DY zRR7nH;_>wbXnZ*2i}1O2W=?RDvCu@=-pI;M?827sx<<|$g-6QC9xt745R-N^s+Sn; ze$+1`6kiZgxH0^$A9joEtf1;Dtl$n^Y3V>{g$B9GW!-C|Md^xlt}dv}7Ivv!%8Ntq z<;_jApUusLV=eU_7+p|R*jQK!TD9jF7GijKcotOcCUsy34GLU9spdepS{caj9CCx( zB319a5UuwzyYA~^f>Zb2?k*cT0W)Ai!zsIImyPN04yY5loTd|p#q0i#YUsN5_T>%$ zulk3~Cdvz-Sjs09q|J7pMXI~9pzlK8e{4IBT*#J|7BUXQw@F8|w6wa`*2NBUpScpY zN3N6@^#2S93}hUvyyo2);Ool*P)VPcEbwVdj(lFiXqG$^ihuZGbiOSVXI*=~HCXq_ z6ZaDy#fa(s>1k5Qes-uH?Nn}hX$A?UE(VF|xx)2f(l_dE;;MC}@K2%ZrP8-3bC!oh2J%B^_(M zNgq%4Nr;K{4_1eJ;sjkBlj?|49ZZZTD+e!k2H$^iJEqR^&r1U4md~W}-(Blf3g3$- z+0aPEydN{>v>MEO=ebbjN{K_nNWaVDC)SmA+ZuoSB?7r%xmnqXc6N2?9ITD1SpO0& zHXbb;S(nRJ5C%|&wC1Fv&v!UxLnIhA+d>}x$y@|HOg~__dFN4f3gZeR;IHQ4;Ye5w zjJ1baWY@3~-Oe2fFalFkQw!jLa_i0=q4Q7duG{i8dS746t2^h-IWabPJLIa0>`iAE zm&r*FE|amQi*r=nQ`H8jUN2xhzes-m8Qa7Os&QySg4*|YyG1>Mb02UR?>=~NnUazc ze$4?YDUNFH7A$3ShvX9?cH@zJ%lMB*8ri5Rry%_M&u`qk`2&HaJd1ISaXeP-B{J?3 zj1`~8N{k{M&-&s{;M{QPVbiFuxz?U+@WEcG*dJ1E>*}((xD2$S%FfIcZnR}$f3)#* zZ9JSOi}T^uQ`Mkn0Aw~QR}bM=WmX+sU=cjJ^jAq^ z2Fm9)gVL)iTNC75ryN&vSoc-R=K}c-p|W7ta8A2jxO5AkR8Xx;s+HCaJv~84BZul! z2oL#Mg&pi& zToTq#fZ2VZY$hH!(SL@1TjYA?7{RF84wtY4*iU=ryQ~R}+q$~Cmr|Wf$`fSVE}Sf& zmi{U=8Sg(=8^~3Sh3k~kTYUxRHV`SSN@%`I`!=IGk($KMQ)_BPQjTRoX~?sNnhxx) z`((53dOg%nSiaw#%*$uvmha3)MMYWKDFy}v(C>{*PgA-F1O&*MTtEvhG8}w7l&$zo zMTN}iV2x+)s|Ik8CiX6^9*jrB709Zfa9p|v?WuX^Plp3sTfpF&TQd!w2Z|FMDQ-gN z)egJm+dmPOg$`w37isxQC4PWX`p@o7l+*?V^%&G8FD)%uCcXfAYd2wmg`i2Go*K)2 zsfR~L+r7`OhdU+eki^#%FD88X;y!6AG*?lXdm#i@cM`pGpUrM#qQ7!GK^#!m)vH%i zD@#jLhQIYM^P3c-Le%uax2qVXp)4>y9HfAg?@N_{_r-xdpA1kBAvK+BJ-0~pRZVM; zbWhLDCWl?jMhiUwaagpF+m#O+OjYv;oo-=3iJm(@*-UrXU0^qxipzMD9;}PrHKl*P->~!P#Hm5i*Z0Ymg6R6+t3Sp0bqb?Q4Y%$2&-7q{_Nb`WTf5R z%3#)88^UJYA`7UxY_6yF3q6TFK!u5UtsiB{=h>>?c^5PMT=7EfR>{<_}KI^3$ zHc;Th93}d)71>bk2C1)Ml^b&^7c8QOt*SgWs$+zvW1X13>Nu@zTH&de;NS%i1jC^& zxsS{ZN)3R?FgT^#cRK0l=(2ikgM)*ikyrvmdU|hp^Y@Ig3UqW_VrF*)d>tOz!@0e9 z@}%CN1g+Wi?!`&Hg`Vt~Ri1JgBM|5NF9L6!TybB$*afbcZZY>WH8<%|q^d26KM~Uc zfIDbjEkfPprs8>`v0ZX$6jyRxhFknDfo=!NGDtsdECKn4@G z4>W)}=)&UbjN$MnQnU8}keUc&5H3#I(^XZdl}NqhCcB0x0Dz-^0xI_P^LxCFBD`^9 z#&sP;feJ(;0M5eZxTl|6xsv%*!1O#9__|~?t0(Q7v>QOC5oEH{Mgyfo5Ae{&KJZru z*jW_|F-GMFV@5}?5GIlv6F&n@_!&svF;QVPT5Le@s&e>w!{X93mH_?Ars(Uu-@G;} zz=iC`qG+!~`ul`=D)ovs8BN*@tHSZAIs75K&8X5UbiN&Q)6AeBmd_;&3=jcqla7D~ zMOJkfzPkZ}L=c5Q6qlJ=lAL3De;f3FgOU6srO%|eE_u=JVn)A*x2o_ z59d(=L`mjbDo3slGyv2;C@;;K#YOq0XWP(`q)FQ*Z1~uR1>#gexS3-eb^?${Wi~i( z&OK6LMI$UMJdpVg#~s-54N6LN{ZGfBr9dIBVx>fFzI58iZTO|z8TERtma%G$)!Es3 zq{fMBvdWHWC%qV|FXOl5WCsAcJoZ}}!K>w%M9>I1@b0kBz}{hGehoEyJlM?7%^Z!b`Ka!b)$-eh$xYFta&^!|3J2LLlG943s*0mGUp6MS8%k zhszWF-So=FmwzQ=A^ZgERp!}+>ihQ(m}>TJz6hew87nqOonqwVj6j4H0Kh~J6X+P2 zTa$Lv+Z{}G=7aC#!yQs~ztys%Pei(wJ939Dl>A=Fg%(GYC6}WG%1`RClLfr0zzJna zb^pG`t$1rWivDsPzFPR;<4y;liAr@seU{L{7wKW z0O$ztZGoH)6GfErYcmNvrsHGa5)1F8TMd?f-US&eSJg3=IC%~fZ-Cc~GpM=ChuKdWxwO=b}Y3=Ns zp9X|L@*b;d9@xwautQnpVz!*I>w`RrJo4vdHL)O$*X z)%?43wLvtPaNg}wu^D`a2te7{^vIsNNkHHLw50v?!m_k(HIST-75FAB+6I6eAG>tv z4siVX1Z5&2_ZNT&q0!N8h z79>y0i}*)fM#&(?O#mJNr3Ejx>nGge(K0j2i{s%s{ekbVllcC*r3V`t;ay0n4j^Ik zg2MLOn%CFgUweDDnI9+-{5<*XA~n?|{abeU+oo^Qr8&@xfW(S2G8v}m_Oo}{O*yoz z4P=BOVAsprJN6^ibxtm`DHZ+r!hl(|0kMTJtxx8||MVof9E_3-(;2>h55EMIH#$u+xBF;Axzw1266k*s=nA@^yhs5yEdmmR5V|f{>08D7M2sr>w#$9Z zxVX6Nu^dLa(usmKBd;d_vYk@}DNa1vNENX2Zq%#=P^0U8jeMd91&UO{!O1Dy;=iMJg`$8Ct8pmASPG%e~q;ZX2)~_9w!fit1hX|78Ud+5P7lGJXBUX-EwH z9B|-2czA;vLVx`(jwpi|kZNua5WLaGdb!Vuy~NQ8uYjE$JgD=pOBl&*K7$4zuDB9c z7`^7_RXn^aJ8GX`HQtuL|MxxQ#HFRv;J$AJ+#P!JBu`Uiatv_++&H zZwIl*E)djfZe@-W(^g%kY- zfDPyb70|M6TzK0tr^L`}yngw=LQbSQ-XJDhy)FS@{SHV#zy0V-KCJvoeXYLY*&Jcu z_97HjbY9={Agu*MgBX)Y#T=b$%Kkp|TEUzvwP~+7w*+Ak2B>{PR?KV;(D9??^u)ux zewoo)mntXMv#o{Vzzyli-sgX=^`{wxe6e(2e{nu<-e-zB9m-L*0`;d4OiyQL!y)1^ zIItK0*Ma>4wnM^YN(OcQa=qzcZ;G^&(sLUcdggCWgTmu1;>cgf7hR0#lIb#{F({Y5 z2k}WnR5U!_WST-8*HVdY1p_LQ-MSN?7+v91#PZ7mAtEn(?6Zee>3 z)#EZ!>8hv%9qdIot<_fQ;b1AnG0HQSkNQOYq37#f1QZI9@PW*R1CMGi&QEsY{8|;? z{O9#cID`ifNLgpr zGAy}EL*orCGr_FxthDn4pGWz>uz;2?2=Zte8oh#PM76d;9fsQ_C%@p|n9q~OMEJ%3 zTkiA-k40nwNlDkyZIU*U7KW^cv~$FDYlpZ5p-@OIp;ao$`46c4@7n?-qn1fP?9R6K zu9?MkE1qD-kvW?cGdp$Ip*YZ&rk3ok|%ULH~X zVwXCg9Pcb6oz}7Y!Hb58OI#1G#ntOfCwFbA2%G;}$0AKdaJ~x(f?#GLbu#}BelS1c zQNp@i0Ks<#`YjD3V_>)wQ6XxCy4%Fjq2jq6(@Q0}n^^~pRDut$xsQw}P`DmyA`;@g z6Cxf`L!{GWXi6vWE6x}D_;4)^<&YvyAW+ilP=BBv6l~||5SCtic4N2?Zvb}8Mh!}B z3Unk-tL;1gUO7n>6_wzADypd;Ak6)4^tJ+|i19@^&?%OPW;hzJ9^*QHJww^VhrB#9 z&voT_W7@Aytsp1=_$vI-$Je)k85ewutfw7P{qG?J0Fnmcu_X$+i~s;gvMDSqB<3)@ z1?2x8H+K}=kC?ji7pz@e%k$6dxlm_WC|Yd!pMT~M%cOujnkQl)oFYU(dw zUO*w$=68TbAYg{g<=7fvhp4qRJNOGU4<9zybOUBQ0<3xj-h@J}GY@oX1a_h6+0+|6&*0qaJm{Z@kG3TEv+xq{78hSNHEph zatB7(|NZrS*Tdgf2o(*AhZN0QRZ5pV{4@hCuSJ);Hq<;v;9C*%Sf(_G`})i));Mx( z)}AoJs=id;vLG?nY72MlXYjhOOrSO}JN|@7&^oD^nq+$C$K&s0kCBNlf=ix>Q)QN52d`D`1#5nc$w1fsZs z{H~zcf=_$B^cn`su^dss{WK+>@?O)yEH1oesk|h-Hl3)+OVNtiv{~z z*asBjO>jeybpYP9)=0i4m`bEolWKuQw`lonEKrwz{rZKLUh)Ynj4I_pz_xAO-Gb|` zC0B-N+rgTG%V~K*#%=!fLl#l6Us!asIDq6q9WjnVt!C`!0mQ^ZY7v({1VPS!AQ*ag)R7!l_%7cOVKeii^L|L1tAgJn!jCj3hF52R>G&Nr+>%HrD zYmM?biaOFlw57^GF^|+XmI(=#z`jS^I^@?q9aH_@-o9eZgy0YmU5-GtoZN-5jbf!W zEm&!nX5y^68-|C=dU?ICQ|dx--mvkT1s_^LK_Q6}e_Ohuq5^p@8oCDp*U7SidV zu&H)ogNH;!c##;)Ru5eL?T)dgK33pnfQ5DATDL@eR4}!HfdM~MfzAX0()50VeFGo3 z0Gf@MUf0Omjq+-KHhjd|F2X{(mAnmw@bHKP{nZ6GqBTnC;h$&anf*1z{>z?;0`5R5 zcYrLgfV<9VJfdOaE8CUfU*(;WmR4vq%!rx;AFt4Kk{3XS&*#rNz*r^YxPv1Yl=~n) zf~*UOOMozlaTi)e)kdZN3kru%z-Zv*_ItlxERPfbt!P_N;z<%BsY{RKm7tE}v_7j9;bpD%QkD zS_6}_xGiQc_XwcK*z~#|aC48W+)Ry;#i{f@g>`JbJ{Arx`lYR{#_RnhM)E&{D6iLp zNQRVI#PI}4Z4nwHgt($W2u2Aa!WiUVethPdY6W-t37kH-;}_Oak`EbS<4uWP1lH~-1V;p`@TX zF@Vw(w-H&D;P57m*j&1FDT>qN4y?7TPuQv4VDky&Y$V7=W7ocTge$HX&+iZ-ukI2K zIsv-I^C<2ftEc)`NpCk8>&|{(tv~SoTufkq++_IqHq`9|TP}bHAxLR~U>1hCX=q25 z2=fIWWfkRQtjbS-C_B)|t=b+&mXl72JPrY6Ris*^fyo`)mF0nK2vS0zl2@CXcGR^v zOz(JFmAx`Q=&F;i#Di7z(*-s80t_(EK?W+0kE{OAgq+ZX)y(4^9Il*r&*@!9(>U7s z1B7buFL{f6MBGl;n_3LQ65t+O*ib)lIW6|AG)ftCA`e1F>WyRTdNe}8NZW0H+z~sGgF4}31z~lE2IDmF-9D%f(Azg^r3%GF5qP?N^NLwcnmc3a zcH+gUH{g7&<3;b?cCxqJ+(IcQu~3gf5gjnxo*6&G6ug8+kZ{b#N=+neO)-T`V;c*} z)y?VmzruoFRag;@SU>zgS=M!rkLx4&RIDar?C>kvHU_ev4Zd&(-_)OB+y){RN0lz> zXSJrF#`U`BvxDt$Y^0q2R6)SLSFR{gFe}dW>x;0iXOJ)GB8%pI6xV3hlhpL-O|-ky z;V&;u1*K$z7zAeR_iiHWOQUEM5mZ4OxcBH$Yu|CoF`OE$aKo$I*AuC%v|l9@Il#!6 zc0Iw9<+txW)#fl7>imdB7`%dHXAq`3AT zWWBK6gEcf3qGpuausYlLg4#C6{Il4@qzRazwAdJ|4Wr(SFtgzv#M0Z_amaCmlL|%+Y6D; z1f2RD3c@n&@<;@1-1*BFFL@Pik3@_z%i=8%;Zo`3fKppk|$g<6# z!S0_^M}W6Ui-C8OCOks}r}9!|m>j^kC_xim(4?Bh+O97XI!HObbmf*|`3~k2vMJyP zg!X9o!Ea!j*@GNx54bZ!K99m+RGfaAC#Va{Ehk^wSn!ap!>;>21E25r?~l}+w?)+) zmmk7!JYFNF`h(nLOhe(w_P1NLebDx9%Tc|PLL_Vu$_xg+<3D$F6_d$yC#U)2y=(mu z^zCi%V*1K0=CDT!e8jdPxBJbXaklZgkhQvWXqZLzkAuxI`7+bVC=R3BM5@-of^)vZ zNIHD`CM|7xj6i5;C_}bL<~KMJB&!M18A~CqvC#NTlj7ReCm|kEpqU*n^((zm$E&&1YGSuM5#&uML!oUlgBpy7BH{5yqBy#7wY85BQyh!+$ zcog#>^7IE#aPfj8GQD6cLBZ?lcc%RZ6w zyCw7QWqa_TJY98o!Z%DF+-9`rejehZ8&5P-=1VHM3~{{j&9K>?J_N-0{*bcfVM+fyII(1e{(aq`x}ngx1XiOg=#= zSR~~shzt3E+>w3;wmgr;?0{H=uxk=~)_8Q94KKj;*@76{#=E@Lw7-5!wY5s?^c3K& zNsT;_mAwhaO^bYizpG;Z+Y@n20g@1^tE&eM(r^GT6eC#@T#{9U^#vgKXRFzAXLmRC zy?esRx)RYkdV0H1KZ*dKZC%kL(u+p@UR!CZ9q5J-hXVxR9AK+$?`D;+3W=sHAh|){ zfO^nSPXVNQn%-Z58|`XurFDP&Ci&E@Sk3jwJ`dM>#X-xWwyLG{rl({)Gpfo|mG(rAuXlRHSq926g^zk9`@%P90>Y7g=$sJ}2#9kU*wH*kk zC&G0gu<1@tM#Ovf8yTM;T8rqlwYm|-3d@H*{JXeFB=p|B1f#*5!I^Xr=7vOlzVnf# zT%MYgscEj0qPrP0o?*#X;q{0CywA<1MZnXr@a{B$$P&$G#|Q=d?tQ*+jf*YT%@*Ae z*d}pNN?jJ*R^nnj^$nqXJW=KT#l`GM`W&+QTie^e0g(Uxfy0yn_Kssv71I5aZ=UzrI zq8?Y*gRFw)gJ+>}DT_e5i-0E-QNL_f-XbYDw9Xp@ixu5PIE#$0XO`CMOWS`IXtyBb z4lzBGyeX)tzVS=#Qpu7daY7l$P=Y8iHK{~#`-b=&@4CUOtSg!x!4w(V8xs{9x2+qQ z0bXbIo{@S9zZb&|zQ+6@PrXQaQV zkNLkf#>y#4I9S}KSEvUgR0y}Rp1tcOr7x!Y~jc+Y^VV z53+7ZUx(bdN`{TtJ`%pyDuC?y!RGY!C;j;8M?`O{-nE4t}CvM^v+KPq+#1S+LMM#cC18)I- zgqruX!iZas<30(eij)5|HnXaTfJ?~B$4kLj__3bPq zQbt7NO`flX?O89cBlkke?CG;`Xrcw6d}`J7zPpBj;MF zHV);^M^FrC;HQ04t8u(7|L~n}?Z!>~f?kMzkCqq_p_v#imM@ldB~F37(Go;S!`jDo zf5y*_7cxDt(Jt4IPWX-vUhWC3dCTr*uC~;qV5Bi_q7BO)Nh(DV+gK51Tt#wy(Egq{ zTas{i8Pu8NAHk&=~3VTJJ~05E}xiHU>ZzG4qoA>#}-u-g&vUd2*l5>Q0Q#K$^< zQ);qxS!|x(nfKn0_;h)ouyO)BJjNm9qi+?ry(LYH?DgA9w@FDmAXFd%I;Z|*Wr--^ z%Xa|EsI>0MN6uKSEX0+r#Z~gGi63Z=7V3aaF#_R;ky;nNv_#)s=X5)@I9&`q8Jf~f z6Yz~cBQXi1+=`zonIcUXN@b=}pnQ|CXk9)zSl5PMr&lfw0IXs`zke4#x)3apPgp}q zuJ&vzUd^&JDd@Eanfnjb0`JFaXJCno1FAIVrUR&PC>yin=(L)MX~ ztgNg;kuDzE;y{<6i36%~)VY-J%V3s#XiN-@g8Z54c~{*J$|kz|=-6em+BvmXYM*~T z{}@gu|M;u_z!Rw$_9O`B<5CL7fksgXT`7V|9qF#(?cC3SN0yQwVPJe5Yxp&Q^Ep*b z;XYLlRX*0Sr=?E1Q=85F*5m>Ty*&Gj{BXqO>K+aQs^S*z{5CBXceL&0&^H2;Fe3&y z@DGAbp^psMEXZmi^_?E+J(iZ1`owE@sYk>kiney5G-&WXkdsMvD9fW>9tGO4z4$*2Y3jz1b1x@d~BkjynF9qAb}gs zJQ_Hy$Y=!^%@z>-gmi^mnzm1v*SV#ikHWk+r7PN3J!{VA_`|nIG4}%67j^|aoIzWM z_0S8Ry_k$l%N|Ek#Nc4qQwC-iDOj^e^aM1Z!b&Rq?MvXCB6&85389(Kx8eg=Y5_i_ zP-V*iJb%GnX{x96J{=1#DZcQp0X!p-KEBy~>7~ z$b9C^t%Q7j5c`w2x3ZF-k9{5xHpaSBOXO?jt%f=r6ukc*phQ4Ro3@Le8S_<#C<*WD zE2ZBr2sQzmkv~gY?~m>cJ7+qlAd?3y0=2z`A3UlhA{k+HAaSrjq`h(cV!+?$tpr3* z8kVj5_~|3R-_jJxKYfgELd z1}Q38L$~W|h_DFZ3gj-+!yHr7p8e2I2F){%M5N+Kty({LoXzt5^<`i9<&^_4QBn!;d8>om0eCkgJ_D96*m6#_M+>Bo z{Al(d80R+EA{BPkWY6gL0HGWIZKsC$@+j?^xI#}YK#Cq|+aAb-K9pCnxB{lfu+99e z4YDox>A@?4!l234$!2S2w~Qa(wHEJz6ck`Xz2HDxe@i=sOe4+%F#UO3uW@;`X-$dc zo=fjnVO(-vBu!bU(Qv61?L$We8$kdEW+^wRm!>&P6UMoCP*KgRuFTyrHiaUDpaVE} zU?}fP$&Np(z8LPU+W-6sbAYjU5=>|M$#Yr|jnF`~LZlDKA*KFoxskW<+3pP?e#Q_0 z%}Y;Od{lm%zNCoeo9Ic=7BNjSNnPOHtlmXnn3pDWi$(>bCs%Nn1VMC#JR=F@Pty#Z zI`Y`TRUE1>rD2K_+8=lm2fnqQ`d6RU>0;B#7#8iHTYnJ^d;tfc!&hs~q+Y5`0heT~%&e!_puZeuR<=>7vV5)JzQ01(S1?WyXpq;H zqCDA$wP&@WGp8N3HeHtpKX|Lc%Z28c(E;4$9zuArmM7 z>b{^-WfU==ccW`RbH#gsyJpLW9KDk}4L-iiKi94;0Dnw{#W6o`r-RjMp$lPcWh8?3 z;bVu>dY})--vy)(QDii0zs`H#ag*IIA3a&*br4^J>y;7Emx7JVCsI0Zp$jiL6UAdi4Wj{+9v&XVGF9o zbhI$_sbR0 zXPj#HjXr{g(r&L{)0x%P4rBtF-#$N=g(&!O(#-U;Gn24PN!1Cch%=A|eXpaV$tC&i z)8~Y9-91-+Sh@1#%c@<{yJiHPm09ddr<)^F6N=hJkN@ zV${#Pa9?x7Ti@s7t7s|I)z!bBmfo^Su!FiRJU;d@bKu=z47xY`zxrS$w%dqzd9eXiu5_fpFy;H zD4U4!2&XGmuv%;~9sz^L5nsOCxGqOcCCdV!z%TB0hT-4+3Rd&x&w<~y>0Fw;abLb@ z&MExND4W+N;k?Oe%_p0L;CxuU6$$u`W% zf$v+GPZhlLx9p+G8`+5l_^yw6BU|&IYM8s(Xi&IkrZEKn>iOX((*9TF!T@C$t<^ft zMZ|8su|x*EmKZ}=an2x8r*~a|35Z>i>Hn7S?{0t;I_{I_8>3izd#5h?#U`{_Y|WI|VTbp@k5g`~+x_mt$#NZ74(7?88|j#BcwB!)6k?I4!dA z^a~3{&It>KVMyIm){5N5r8=j*jS{IIwzaowK^ho&r{>&UFw$6|#^Gf@pi*Pt;)(>t zbQcCdz61vggW7&vQbQs{DTLy66?EM*a$*B24>DK-Eb3@M7hW(%Z_6>t^8P*XSLxE^ zXd#84sWwg2lq#gfy1R{pVYm$10<3=s7d!wZ=#j-FOyw}c&M+H}+-oGrXGyH!$f&neIl1r9unUw`;#_x~=vuK-m>)@>zm zZx(e-cL~sr*EiL-w0Oh#_QibFtx z3mFnlb2uowatlA>AE+_fkUIs*5na8ClBk&YY5Mb;0+Qwyl32}TtK=yl-Ncl!l!&qc zFIyWg>#_3m|L-D?7;{1d9-TY--FcbXa4B4(5o1T3$Zt8|$U(etJJ0P5QMfwA2=v@& z26!5u+tiOv`;r&{r*8)@5_y6Gpy-^ImD~8V$Z*r)qR>Sfjb4uqoz@D&QO7bQaa4a^Je?S#+2vUXv1lB=} zOqLdV1}h*szrK}q6S8I@65~@(QMsqhRC+Cc!$gMI!yI!o-QTWE zmgM9LMSegY!2v53bj8zPu13u6H0jP#>dO%pdYsIBG2BYr%%yim4#p7bXEc@4sq=))^3itIph4Dx`relUA|Iq zQTpGW2hUUc_Kynx$%SVpQEF>KwVvS06-_1n=Ly~z{%T6A$08PI zblGlFD`$aKDika;W;lm8!``Gb0bSP@?h!iIYcN;Ea*x4D5|7MEU)cwegGAr^a+JAn zlTUk$@PlVzL=V|zxolNG4x(2(aTYv0bk?;V$R7P&-c5wPp*^!|OSDJhhL=$>Fu^L9 ztI`GyA4xG!Ns@At^0AD+ead`Mb%VKw&7#;!!&IQxU zoJqYrf+jZuPTC=6hnl>Y)8BDL)rwYser^HQ&kcF`O8OT^7>>5*r7IEgY_P>4kzKJ~ zI==Ix0xvEnjyu;}!?xsZ9MP@Iy7B}qgxBJ7cAmSa!@Vw>v?bkL>=_mqxbmb2gU1LW z6^QV67ajtU+;*Z^sKY5v($Zd?2#z!TC~GWy@9IDQ%)l#VAj6*f$xpO9@Gp2fJo@8O zlsHF!Ay^piiF!CVj1)HTxnacXF^G^5`3O9}*4a&cSwU45-9y8+JCEVV0|9|}1bPBJ zFb8U%l|>M2hzytLg1-n-KFCgT0-?M&9Nm>yRjW0p-eD2b?6$hj9&dbVL{hhY z9HXMgiD)0N$&SHyq!*HC zl(y&b^gRGE7If{Kl$2&RI#jZF$ovoJ^6@~KDcp0s<@22v`62o!qs+y}75aw{i5+dC zO~7P)HO!3N!4j@c_(_L^xBPA_l50NKa`Q#zRm7Dc<;DdTHcKe_Kx z(db6Cfj&sWXG;%vLQekS?Ou*0*j-OXcHEmy7Db-r)BHcr z0w1g+&*=cJ90Rrb_gwOJLG#I9VkRanJ>??r(*5n>KuL~~x@=7~j5r`Er2gq9ha`f` zop9XRnd)BOWwSzfo&b_N$)daIPn#_vdIzL-1i8I_{W?WA{{5s!;$+7V`JwMXwg_y8 z!@7$TAqZq@D8^IiAR^uDz36BM)h*{9D4tAi%EPrO$54K?VOklD+le=ccOrp{`$EMX zY?m()5xN$_S`SrY?i1#~OeT_xBKB%HpNr)QDUNIucN&Gt=%u*@a(`duJG!inTeJj! zQ3Z_Hpx+%SJ4J`;45#9ftx^#JL;B!FtSG5UUCG4I^$`aw48zObgM*M$>W7CCA&{6ju38*2N z|4c*UEbLaMp)7#0;8GwItR(|XJ(7Kg<>SQMa2*vBY!H4`BD z?vx5(%j#2-AqPi=t2ZSHqBhHB>ePl;I6vFhR87G)$Ffc=G82}8z~7gcCMSU8f27_PIjem+ArlpO{0iJs#8x`l zh6*Y1>eUxdLf^1N$m1y%Xk9^S1!xu!$D>w(Swlnt1BgY?Y9x@zs)LPKW5a4r3?R2? zK!zTirCk`$QdX()346f8g75ySZgz82>E>{0u8a7-1xOia8fz?Hc|W5^g}O=CL&n#@ zf`v*}wFDl7ATSAmEgU+09zN_PwRzAR-@^h}8!5nW2d$#0LBHxfdr|!!?y}g%`lH&JByjl!qAt4Xe+{ytxXfXNV5TIOj*9zHUu zkl?%{4wI&Cy)atqb)B*s)S4*xR5S=Z)@MXmM;;y?_A3plg6bk6D;six3=f7o-K3Ju z_N(rSx#YP2o){BWjV=V@V4@i(PGelF@t_9p{8IbHr1T%FOKu+PPNby_4!^76@hzQk zJfYwr8nK(?lm4)b5{J%uOv|dwiiZBb*y8e72_4$#=qSBvWf-U;6|F9? z3Rb0FHc7l~dbA;2*`@UP6+8w9d0bPF(0ME5y~QOZn`(aqlIUxdGPA_SyhRAm~k33k`STSj2ZkrLgv-)v=W&&;7MG6^=$}nLoT`r!W|9BgYeiId<7Z; zNwl;|Sy^JEG?*Oz4{dKAj%EA3k3I;6NHSESR4ODTMI{n%noB~345%B+lqOd(>Q>*@U*pYQj#kG=oe+i~;`;(6}pzOQRtYn|&n&*f%z zgS*I;&D85+;JuM0&p%s{fg3sIpx){%l~|#bR~f}v8up;$o;LbGz;E{L7Z>9BTJ5U8 zazG1b$rgMpkU|%O0D2yZ24c{HX=?IhwcPr)qcM#SLTlrMgJu-Nvn~pd z_bd}4fvTNwQ`0i-+$q{WN4Yji>Tit=hCj7>cRv%o;*#|8*;~6%i)=_1AD7I2#1#*g z5g6-6aLXY~7ro>lJQgFX)kYhc3GQ7pafU3L-%5@be_|3=`Cq@@4x->UC=(VgUmlxZ zL6R0`PLeOj13mcmy?ZP8KA#Y-WMgBiQCoN#l0s(0hHCYw>zF6t$jgLI*O?Yfl)iSl zE->%5-3hmgr&7xrOsF+QJKhFM+w#~k{eDaa zoG-Sh@y}o4-jg|DZ?%pB5;%Dp!LkNJTXd!T!ggxi9h$h&twyNOR-_jU#jr!nIyB+J z)zGVGAdvO~*SJ_xl4Eg0?yGmaE7)~*u#B(S_|KIs9vm}?iHaZb@13ub5O7Ni0&Mxrd>&EA zq!<&obS6Wz#Y>t#rmhP7z{SO70@W&n%ch}0P6ZXGovr;%&nXBB8WV{t8IuN5v%==Ozm@u+rETBj6!WiP{ z9UOPK|8Fx5m8BEE+rD7?wWN-_XKPdztSbNKOYZ{}3L+og^ys_f zD@uw(<_4wKf7e|qWYKqt32K4u@2s$&eQEQgUJe{Ez)^r6n9C7F}w9Y4gu zuqQBH?I`1_chEKFiz`@t3IOV6x4Yni^`QLcTW)`xjvb2vbU^zA3cCA$%Z+CH&N`pY z_DRPCm+0@m&w!r6^^0RR_|A0O^&$Y!GJfol9dqqWc;9GHM*=m?VP=2+BH|BQd?)*=&e`O}7P}WS;VKH{`6j(c zZ_Pq2M@PI585+E1g*t!j>H2BzTg?k|1T$|dKyEVfm>z#zJ6)&D2P`1Qbu%Hi1! zG(Lka%D)<)LPFx>eqv;3;u*4NmMouqs<^01=cECCkw5Mg^EX>FV#fO4wKn+}l%AbB z6Q{|(D!B5I0DiM^D{W~B&aCZnKz8@A{qE9eS^ei#ZuFht8`yt{fa5 z9@gBgB_CU(kBzvId0Sy7y*HudK++qd) z)9I3UZRNlBlB<({^14aw)ptkR5C6UXRm_VO-E?l2`v#W6qaMA7e<5RWijs_*TWtZI z^1oLVaO+lKo`+N9#tmts?qY&LFMl-W<&>0{|I$1~Ptjy1y$tv3!on6C#TmbBXSW}j zQ0Q!NmE5v6xvINF@l9?jaLn{QrX zF=z;6J_zP#<0J1`5aB<~yvgyXv$av~^~DA`)O(9IZ*F80q~+o*$lOZrY7S;^Nn&f# z%HkgXGVpO_+Ee;FZ53wdeE}bjh_elK2Dl*mQ_}RA|B?p1(i2qtS89wn2-jvLoT9gl z`b|r^KMDCCi&O3G;MCgZHT48e&%lwWi+6*dQ^=E zg$+UGOZ^c@8(M7?rzeG|j|NZPHs_y|WN{GiDrn&yWxiDQ->w`07KS&Mosr0+rgFK3 zQgVrce{e9~+E4M#TW=TLYY+XF3`6&ncXc0UzN;$|9AI9eGxHJ`>Z&FR=>2l<{qoOB z><4@#<~`=b;u3YAKJ|=qsAS?4M6CNG73gU2c4S7(2!La(v)Xlkv$X2N3lhCR=0-r( z3wVCVu3gg>zDxYEvNPe7{y2GD2X<>PF9Spt#`OM`F5DTGA>f;GJ%vLsG{qkD7&);+ zSeva^xu`mxx_Rr?!T-MBDz;iqz<~pHo|ZXwS>qWm=)w^j!sb-&Y(BezJpaflYSE%a zpn`F_lZ8qaYyyOImw{mog+1fdi)Sw*GXLkVK}@>}n1{F=isOliiTXiwxJr4j9fL@;JnLWw3wqYdGy#(Ff-i;7Tb;Yxv`QaCd*0rg_Nc zyw8?UdqsEYoH+Z?Y;33iXstunHFceZ`={v^4GFDV>G`QCKa}fjPdz}ir#rJfd|*c< zOfx~eb@(!Yvds?}!{L2_ARw@?urQ8oeA~zsb}Q!^>}_zU(i3XT1Dc%GK>jUw&~V3D z2+kbp)Z`1}4s@O1Ej^Lls~&#`qFk*52i`2-hU~1YPEt`Z?LjFsz^#f98k+sDwdOOM z7BvWOV9G=kWTI9L^))qh52#1^fDg^O$Ft{|ji+<%W_nUl&ilE4&jm$i0O%ZvfSQ z*U?|jd~p><%9Z!%)4kpp>+3QjbkB)om0SGfd}5nQprBQQArP`;qT!%3oEaPv{RY;# z(9kZDlM8?iHSF8kxe~XkOKk&r>EZzU(B=Q}`GLlSLa4+oo5ny}_0^wW@Dll)4`Car z#_GTC3fpv-N<(y%$TJPfyDpG15T`y0%1S(H=c+B1KlN?H&K!dTfjzX>5s56jTMfCu zz-a?lzzltHR3li1)Qw2%eBdiJqzIAk8uIcZr^pJ+4^dZLzO3C1L+$(ndzA~}bi)f?C-6eMb1*QW~rj-I%Dp-ZqAKYe>x5nv2Q=7)cmHYfaP4*#FB}g zSuNqgtzYG>6nA;Rzk`%HZ7XQ4YcAc-?L6anMOYb(=g4^&iRePI_(gYq=zFa{>g+T% ze+6*qGaUQMXRfbTg`|+OWLj$tr4Y-O!bu9$TX&bRoE#P4H|?cBZ`P{Mr=>*TiAB%ID{`VsXR9EGZ zP#EPa5v-Y)q&zeWSzQ~hvK8dP#7fhi&naHeV3CP5xdRg9L6Uv!A@*EclKTOVUFk3h zNDuzg0Bj556UQk?c4E~mg#w?QVIT77dgR8vIVdN=@(6Y^f1E4gQPPPDG4LACewm=c z8=pm|GZ`klfND%3o+Y6kD5f?bwaTGYr}q6%_V7DEHb<)eCr~1IIK?~20ObhFsC12C z_bJ|}(K%mqXobd8SivQD1Lq7~=LYaguyLLN3_L+((LHI1l>lQNwml7pyZWBCp*)RA zjn4$#g-C9l+ti=b{H+~!sPJg&yWVm9&k@FPRXT66|E7GHy_A5h)>-pd_=+*H*Ef$g zvqkT@e>k!@18&3MLb^mcAy7sDURE_MJp{oR%ng+RfwM2%xG@BR2@*i+o?I!R<)pu8 zd|$>jE6&kdl>uQr?ge88_5Wr@tMCyf2E(V8Y}jxQu;4XRv~x-O2ET`Fci}GAp zN#}+=gJ}Q5u!AhF0M%nf*bRK!P8M3Q;)PYp)1lw$Q6|`d*oUM8aJg||2T!NVjlstF zy65H(`N3|$BU_Eni!LNrOx1Saja+5aY;nlE55p|o&VKTwBF{LJ;Q3eb5Ld`u-&0Ii zebZxLjAJa>-!8WPYEQ&c2ze{JlU9IC)RxvAHXtMlD-DbR6ibI$#L8Gr^>|XuvBn%O zt~lm+k$JK(bLXAl8w=r?;$*?80%EZcx76&wZZH7&qCamhU4fkb@b$dN=UGBSIZbU_ z=pEvPalyoq0_;=OF24D^h`6}HqJ&KzhV^T6Hk z5%g~ivW&z2pULlvC5wz0lb@?N-wC>D9KYI@IdzH zw~QOzyY{aBz@Yq@!FECYZOmuCo_)v!|6zl|fq}5)HaWHoTr!(g5F{3@^%Zdde~t&c zC=N_cNeyOp)igpOTaIT5ZST%0R=Ub!ZutDqPHi~ z`_$uS)~ec$YyIeT8Xt@S4dT@H-FOX&R;LV(Y!O1%v3O$8Qb6pV#7Ti^3O@`dp;xhk zN*B6wZ*5_8H;#jB{X@F)Qtv$nPe*1Ho}5$ZOZykDPj8V^5$P0^U(eer=mU8s>=))= zk%(`z{?zS8yLUGx_D(7=3?qOEJ-P=cKBPp!loJc1J+ZQ86Z3PS5|;MP zi1aD>3_9JGxORF)O%%C?Th?lZdWT+vAF5WF04&lZFj4uTBliDC$aoat6bCJ?Ne!zan2+ zgdjcma}!W3?mD`N)B?0o6_A#;OafhB^P$y(R^sa_9Hz!dGKjX09T1MQVGaBZIrzk^ z><^i+q@LVi1{#PCd7xm$%VU2TL$(xCHh;~r>69PAN*$2r$Ohbj)ELAO3n`c}DL?&Q zp%InwKDb^&VkuIDd@%cb41Ph>(T_hYPHrbfdA+>i5g}!lEP1W`lzG3j2JzycHy<{* z7gr#LUf;FCiHQb7hL?zzkv?lPd}8h}YOkl<3JM z>`{+Lg`3?B7Zz{tY98#DX`oL#a56C{cqEb6&AqkeYB+E3!<%+L?SgLp#XV_e3R%6$ zV#}&6F#1qJ++|?-w?dA>K5*&YKQ@U@XLsM!mSi#jp||k7MX&EISbfRx5^~ntWX6G1 zi5?{`g+&kS{gsEGC#7xZzkKOwJ5$;!7a`09{1CdZ2CcLDIiNmhp%@Uh>GOr}578Wu zN58@MvA|x);AfioS~`_(GGpjX&7*`31bLi%EZC8>G0(*g^z=_qo?dU zS_|e(m~33XzBYdc4k`}zA&GaG?f^+qD=3CwI#i_fA}{WVjDIb~zBQdSLt7Gt95AcV zJb3H={hqM$H*b=0lLO;%annH=YytPZ`mwG**oAX4!;D3`2lNrBePiZWZP8T~4(yIF zT8@A7uei(V%#X4lu*z+OaFGY1{Bet{UL08e5w&n&_dFryCB)#w9k=W6!U>F*TCpOo1S@F8z0E8_eKa#u48S&)c>Ouf-W5GE;Nov90fy? zy6)K;QTJBhRv+1l904PH(qjZ>&z1pGF3Mt`>Z&4GhZaC4UqO2lcf9lz#UH3CM;lpJFyrn5%?q2wZ_xljlT|b zGb6_F$ESa939IvJd@4NJ-eP1vXfAR~&whL-+T4DI7F(ASs&oU`Y1odBWQrH}H0`yp zh^LryPQ~7K)fEiXfm8_T2%FQ(8R-zm?&0o2uRP_!CZLLE%{{%f?MZyla#m~olOIy4q+JKQrE?ZXo42A+#!i`$DDEgn9apCJKxG0gUH&VbE ztQBx7^Jc&dMl& z-wd+vxE7HU`S0sqy<{*@t&FPw9$LeL7-#@wq-*-w=An^fUXim)`W#;D-PC`%_nPc2 zHMgyQ+XL8hDbK*=C1x>@nUm8(%|n0XsV*Mqy*UZ%37P;=F=vH@7W?1YQ!~8>O`3g* zIf6e|Js7Sp6!$pthPw;O9N2>Xv&f(v)PzSFgbv|#?Z&`gAP*`0b+3(>%@v#8*#Y7o z=HC$huJd&paUx&{PS|s+_{HMCAimtx{B+BkhY@@ z+HV@a0VfoZ`8I+!3LL-eE}sz&pQuYT&}ihWA_E7a0%8N|?s|{i?9Buiy@O67ZzAIz zR2{Q44IexCr%Z2WpDQv{k|V1;>(etcZtT;<(*=?e3QTa<+dK3&Yvta~#0F?AOlf$b(p*Ub(3^JqSW*uRs^93ht{S_sL2$(i{=wbFh!?;^J9i9c2GlM1*Hr1_S67z702= zU5z^#9c<(Dcn?FvJ z`FS4vjn~rPcgR5r!uYL~!P2s+@cNdfi7skwV!GDO?@T7-=aDCkqZk4Dsk zSTu~D2+f=K7B0$cxodnaSNJ@Rh9r-F_G}Y#psu&J;C1WWrvB(-Hi*7+*CWsNK1jXM z`IbX&GqMS-ej57)ik{AoN$eHy&}4@eOEj)ny!asXVax6^^@N zA<<4>vM&8EoJS|cTU(~K=i21vl@hJy=<-uVy@cV*sLBsGZ8ESjfI)*A02t}%_w z$4dqckQx5-7xlrg6Of3&R^0(Pj?5E%bt#gnp1bKQo8b+hgw^S3XNb&6jVA9mj$>6g zT2;uRq}Xy6fBzEk$J_y%P$9(_>=lF|JxVN>$^R!%=eWij39US?#x?udHu!k2r>PJ` z;)m@!`%wnVo#zpwJHJbPkloeZw)ZF|oe()vOew+J`_`Pw#{u9~hx+;P{BvFO4Xg;s z<{h&FbaYn*TC@Td1gpzi4=rA?bImN^zmS$Vb?(UIwdjiJq&3>l6 z2xG$Ct-XZ=Poq+Ab+r=V5Rlx}j4}w;-GqT(Gm+A|2Hgl)G#>>K#$obv0#;UJnyu)* zx8%FC;h}XV12e#9f*A=6u2_(l{te>)h9XrJ+t$mJaL;K+DhnitWO;j<<&91)y*#9F z=RAkvMHYC^Lw5i*&5@R3e*S(P=C30Ayb0d$$XEOW8$srYrh1edmIjnr#Rqi_JZHRP zb4|<*nA|9NlvUDcWP>$2Wv#8{j-tI40kKF%cHW8NN@yW+u%UeA0Up zYfxUY>6;4qRy)B7E&21%>VxVQV%dYpt}Z^vAH|cFiG}FmojzM}1M)P+1ViSEo#$DB zn}xYICW?u4i)Ww1aaka6-cAbZ+;F^We(ppA3E1&rgWk#U^kxn2A%8x`Z8nwLrYb7! z*4!{zGDut&1+P&wzB(hb!y-u`z6ueG{afPnAr6>Vf)dGZz{&BprDe2se!3R z@G=RlHfA8cn3k4CAF6*{t^S#rGy^BVarf^lT9=20@5sChe+9OW$eLrCk81E6xBmVH z(1!4Jz@RRKtx~rTwO@AI#|CtCJB(Lg`N?iG%JW@J(t6rCcj5_wTatR?u>gPE24+X~ zc2JPInp(d3ATnzNq8AYo{DIHFT0%8XLpr`r6S{BQpz*DtgC0J(8as~8#z-~lS(+q+ z)y1}NeQryb?lQM8sk>l5``Kz85$uo^DLP#l-ouJ?ip(T4Zry{3veRHch#)Z8VU5^Q z66fA1=jIH)!fmwCwZvLlTFB^YX~GB$&t?k=wO{m!lGIA%iF?bu$`{D=81saucP5zE zu0c-JN|J3%+ga`~1`oJgFu6PPe2~2J(yH(U3uvZ$QDl0rQ$iOK$|G7gwXLJgg_Krm z?Jr*|mHCeq$|5HH*z-eGRl~?e>)D4R*p=NjK;8=PiJcZV?`<*I@@UQLqN3ZDchRAx zM9(A=qdy_v<)7S>Kd~3t?087^FGp0t30s-{yhY6G{MMb{xK?K5xmj6$b(w)wct#q~ z!gG9dRovlXbBbV20TiPc4J4g2(vj-?O#i*D!Aov(@-1pz274f&R-QXP*9T2QyI{4HONW zsvh#whB)%BgN>lQHZ|H;(>_AyOq?w9BR+$gi7{`Qpm?R}09%HoL7-1GUn;KlUp50e z<&0`RS*3`~kKhY2@f>U&R%nS}1~%O4OKDT)?yIt4!4htGoEEVYf3 zbHOQuq0pz9DJA^%1{Px>pLozT&ckzq$7wE>68h zFRi_of|3yU?u>=GF>6_}f3Bm)pry=2z7~S4#|YQriS99#=l)+EeY`cpCaB*1y1d&0 zgvP6=|L|4Ae3xdfI^L9Tl0)?q_WF^A%mQ;6b2UJr$r8}B+^HdS!X6Wpq?0A+(v$yw zy8MCy7R|C1W2Y3Cy4@$q)A8-Nkb^pThQ~9O?22DA96X0V*r%Jkg84iAy0}ujtk{HdJ&ix*r z)0h;JYTKwfT~oMC0-v2eBT zSVin`?}b{!B)H<90(VO6cW1mb9UnVReRK%1XGkr``~fd?^?5_2_sfvy{rf@Sd@i5yv!0BT=4D~;Vd zce!ombe_|TRz0EVRUl0G<1o^-Lm+B|rZZ|BI^+sz0Y{s!RDwpWhUiJ3Yd9MSl9utvvtO#Al8JL4qDYW9dO@2`vRY+MtWZL6aU{n&t}DjiLo| zns1T=gH8q9ITdiv6geoe$>a7;5)z*9eJ0)ligPGsB39U}nstZ(gR6Pjss|SS70J*% zPEp=%?7CN|rs`m@rV+qKTLRWL&1)+3y)Hv$53;gt6dj1G^gu5Y5v z>lVg}w$v}3?s4Se83qO=;4cdB1G^yPWj~0Qw5N+zecIkS19&A%vr+tgk2oh5gO|Dj z{MO`{(wp{`7oss=ahsJ+i=Wk1NQ7pN8p(;Iar|V%w@dG%?SwkY`Qx|{f7}kljU6_S z-;6x}=kBeytz4a6A5MwxsBp17jai2TZG9twDIhi)^n)t4n{8@ZhKZ53s-oj+xy~zj z7gR4ST%mLqy~s5%#3B&mhaw&dPN}GA*cG;W6Adyy=I@Bw0D&(HW1IYs*D)Qb5$ml! zRldEUt_}k;ns|s=r+n^)-wdn`V^}@Lnrg~&WV3ZAzoM^li5i*k$=Ed2D>lUJTrqURtjbNIP8P`wbKd9&3U|CDi>G#|LyQeVjFaZ!Ya^HNFX z(chQ{N$n`zu42TS8!&oX4Zm2lWIPX-)uOrr+JE-DLYz&)mey8zt0mt!hcNc<$e|nF z)%)hootrh<>P!9Gckg!HV;y08`gZO+@Z)1&W*(2ai#r*p1^z&s z77!Gq-HU!t7K~gqH&?9%;H*Oax=pf9R(+<#Z{D_|6;@Gmq`-*appLS2`!_oIXz9F)8k@~Oy=_n42Z=L zOjv*W8jDm*6>qi@87gevvycfmLEiu2=_mE5FROPg^_{mA6CyC?2(8!Y+}tS{qKV0< z)*3I27+}5;pSyX=O@W&0p}+6vu21^;R%!0&f-mkB?^lXMv$-RdoIw-jJt(exy0SHI zFtW82*UT85`qjH}bG+2l)Trf-?x_80TuYuW@qRvixzDB7og6Fv3AVRAHSKjmZmaIB zKgLJ)8~0cqF<96c-??=QzlO}&Iqa+FT%8uMM{W0_8RqgGBioE_U#y(AMqt2oGY09F zXP@Xje>!c+VAz@7bR?Q>G=nD?YMb9CU@(xUXI9px{Mc77oo-f5ZyyseR7|r<){`qr z%kiH!FSO{DqwyWqIV@0`&`gAT+6TVzX|4OI>|iatuyrLnJ3B$&G*}h{Glr4Oy7+sc z+sv$%`MKGY?H%HN@W5%kl<9`%m!|B$3_jBeLRTXY2|Roo(=na{c}HxvN8p+K7UfQy zuRl$eN@#_X%Lh4OokOLF5f6YU4ZZ+OA8YdJ|o%>}4H_oVIZmP>6@t@wBr{Lvy3>UqY^$P2v zRJonwT^8=1b*m>h$&U!+g%&LAL5D*U5;0&~mOB-RAUh%P5XSH<(9qE6J+)_>Y5crp zS~al>qwJH(e>fFmPdcp-EXy!z%48W2v)}j33!0A(5BDdB-IsQjI}==yeGld3gHr;8wMy%D!fs5yIMVmcfZ7%iy+miTQrj;4>d#V{sQ& zr8LkH=V9-#Y>pA$e_xFvzrcA8FaB|MEy0HC@tqEOI|h^c4tZUuaQ5->xdRP7`LE&# zg{0aRPZccmhw>v|?Do(&@P<+>pJ94NM``#LTrO|8U*0gMoNs%s+UzT$F*j*48rUjM znM?Qss~&7`?Y{ea4gclRw$=)_NqJzpZ1IUJ9oJcHIrvpQv?bXn?$LY^5#bm43qFlJ zDR^Oh(?u&C%#t-2U@#nAy5FIHc2KZ1f8g&3+>fB!x9yfy{@~#lDp+=Pslf&ULXn&xR-{omeU<>AY#3>&3K7^Q#RNIg|8k+1KZO zQueA?CMntd(F$Gr*yWxeZ!3U^pxPj&?f%dM*{qs!VmZ=qC2|rPmItk*c^iz{n&{U@|-9A7iC@FJxABuxHqp2OuTccLa>!V^3^@l zw@?k*590KbfdNo`Ska z6#k`TV-Mn4_@jp?CzLLrTWboaknZ^T853o7?Drq6iWO^Z1RV;eSw{~B{Ok!iZacDw zd_Y0f`3m;hVmL!1-JJDQJj);92svKYJf@MIP7iM*NyuQrmNA={40-W&M) zpU=4?%Ol3gedbKT%=I+-T&TPS9k&(TEB9pc@PBP7ISAJ!R6zFmWTcfc_bh>|jNozGN zpFb+bepZ}l*ywKOqu<;0Ib~Uq2)R!ouLTu`Bi_Rdu5q|xnpMB4W%F?O&(}2K52X`H zNjP~$84)rqTnyIQ3Kj^YykR*3{K6b=fVCE=wUq??R>Q7*ss%G1*_)*zI_6HVI!KTXm;1cMoQHPi%S1@oL-1mJwr5&zkJ#aE_Q}gktMkTU&pO%AYq4lIXRN z&XR0Nr4_<_>3Bz;K#|OCYLYS9_OxhKV#bMV{0}K{k&sD+`g)fr<(VYg;PjHm(0Rry zmREVr`HsJB^+jGO$%HnckqJGEc8k7x`3kPi&2L2tkW-|C$8oahl`_N0$%z4~qSNzh zK(MVhYB@P6AV)jT2!H-zBC^f1&asX@pEpS>MP-`&YQ2iyl9n+a*8SzbiO}Z z4&x_x;{$afTRVZD#?+HwR0HX?+qP|E6RkP&3c=-}a}6Jv<$HR1_9mhU8{sM7V^JnI|IlGl6pgpT2npyqZxElDj8<)tC#esuShS)7nK6T1Vzo zUhrOhg(@C6_|Vi$h|s!{v(c?b2ZWl#X|*sPl>5tAHT=4njg=K?)!^uj16Ak@%nL^O zUv35l#aG(T7$u{%Pyh)1q6>4cyir|I3Dy@)fxh|b=@V~FgGcVYTWNd`P1+s6N2Ix& zhK6EzUcGl;uN2}2>fa1om*c;Ox}F$j-^1g;14{?snyvpQz0~4Qlbb+hLvJDY4(b-V zWEYMz5XyzT8Rt39U(9n7^2iV<*u@jhBHK*Uh>lME4&J;(IM8{Ed4U&c@fncUmYV(n z-i^eVVT7TMKw#ZrG2}HdaUQILA`lubXpN`_tNfEv0L9M*A+YF>utEuWUH%_AQE2>NfqjDC<)D4}Id0pw=-((FQ$7VspAE2%QhPUy|PKa-{) zDv`*Q67-p7W)qwumlsX&cn+!Y+|3n>SD7OMCj!vR6c7ev4e+0q#bNo)a!n@eBy_Z^=?H! z8C_|K)^Ysa^@kA=?l9&}7heUT=cP-meS)O%GDS9lfVOPSnj6ZwoHq62Q5#oh?H#^s zgG$vHtbMKy2?oo9MbWD z425ws(P+R7MJrYz@t7VHBl(&Os6Y7 zC^O_a!zarJW*7QhHFmcoBwis&?SAy(gBGgY`pEM*4#n!Otz?`yCsY3OxMD$wF{>y; zbo#YCowT0jT3%ekp(G;~cqK6w%F326__)!&J8F>&j>1H6UP3T;hP(idGu$>>g|HlF z98^Uz0Jn(29oO(q?@av0zOGLQ+7J^P>y4U;i<=vLvOx!>)OPTcFm=ikpB6ox4-c=z z%$G@1yVvY@@``-c3fXO@NukYLv%cmZe#UvE#lecbE=i~_-|mxwBSXIfMV(&NT~${1t+d`TYg|U&4?zU98S{@7^>YTxI#kpPZ`InT`bvQ zO0|;$^Gu;rG6pC9M`LyfP_6V}KDYCu0mEDMSr+w**`3gn`SfRR;+=RqD~TI7HnwA86`?-y_Ew;CkKQPA=|TC z)nE7MmvVHl&a@Q{H}i{(jqSYLGLBoY?4?SGN_k~$x2o8C9)VdL#oYNto{t_xweOz1 z{?O%94~ydb7rCF4*hM@ZWlcYlm)G)h+|k5VXP>_QE?e8xXd7;7FU7>p`*N?nJUv&u zM&enK0rm4Jkhw#SpE5!VUR?FoESpnVD6KCmjCxIhqpyJCZD{qR-%7?;alg{0i%PBE zD>DxCEPAOOG%Ix2_*&hLo17-BYW{=AxFzL6<2!BQAJiR8d>o&vwf|D;gK4GwM{B$A4Tbp4nKWB4XuwV(er&BU7cQ*Izy@FS$-p`mx9F z{!8Z%&c$QJxX%0Nkcf}B{cxDK{}~8r(7=4yS%Y(G zCReB3KllZI8lec5%mCTFynM>ycQk3^G4Taid{?Y3l{f4@<$5Q=X4gK&1k+U8gXvo* z-fx*~{{2=fK0Y4B=HgYW5{nw1TQ|YqQ=6zepORV*ZCrv-6~4jY$2qOom@RFk!C&nTZrjP0CVFi(OQgayYtEuoB5S9OS0C!RlPkB&XjomW{N9%| zeLbn2mLmTgz4Yk3%EueZbSy#oGDsF(fD6cU7!i8LOy%;*3+PVVtcKkZV${;5HG}Cu z^054~_0ik2K7d2z8`cxq=Tc2hc52!>IvFpO76fW5SX@ilU)pV%^XS*1r+3_E?NZge z7P3-s>8D?(U%zr>3;IFCUUE@}wd+OX%g8NuU{}~50YPf4;E9ejjAVO_d(m&bH(x{j z+cZ4EAXEi|G=B^=>)W?)>%SXpnHg(QeJ}o>r}fI29XE)cj=`~;Cw^{)^VQWy4~9l> zz8+Kj+7}@et$c8GPjZl;antz5U)l3xHw9E+oDos!K(L^Jpd^xq@z%$>rD()2I6HcN z8Ma$L3Qq}pkIh9v2iDNsMj%NQHe$1U5G;zs_FXvg>@Ay-pYY>NgB-k~nmCNmdwPvc zbHydJR;fs}jYURqsfY`s{AY9;?|0i(($ZhS%P_+UZ78FK-1r$fxL`aiUYxCm{n8L2 zc2;RAaTe)^P(aTS6l5`4+2pTaow{wKDR-{moa@rdS#|eKla#|h&)Fvq29EG0veBn? zp*}@XC-ugHyDoo1!oE;h*%vo+{RhXG1*f((QRkGgd zi&Naa3Ar}!^7>w#fBYN+Y6d_A*Y!GM8h;{qM4^1g6Ejae-Z@4qr8kM>b0-A}nygl+ zm|>l)=Y9P;aU0N=sKSyOL0zTZ^KliDR8g;j{a>G9?*IawOoAX9$5$sNN*Dhg7_bA+ zyPN+D-vvYvBc%ZUVb#g~<7dXav`1cWYV4b9|7x#6>1kfx&+9j@J=>(EbGfNpq2}U* zD$7S7Q@+fRkr9ldYFzM&?}ERtFIbEbLJ%wm{>Ff*S!`#myt0pLRH~Q3^t%=+j+_6=aY=oxd91G$ng< z5FhRD@?^~zy}Y%c4Z0moG`GjVnWNli`HIiGE4%l``R$Hg^Fl!HyZNf5(yKtACLEsR zn&@L2Q_lJu`u#$aeg}KpZ-r-dQzJSD7N?`y-DT=k*r6vQgz~o-NcvW6%w!Sa$+}>H z=fA7E>(XlEZ~M%?q~qo@_3LPoh;Xo>^9mRT^P-SGpooAR?r=_3ZZ4k8ER~xL!D=$A38?{i!`ny8<@_21VPq{~3<}oxD4&z@@APbCc~%elI_8eutUa zQW|^&Pn5;d(xusrg0ps*X&;G~5XjaI4c69>yp$rEbN}hyJ49Q778CtvToYU;6V-E8fWoA=)}1Lv59VX za)h3?Yr*XtPjbwlKR8ZlD(&x)zP)G9K7aWbg`{oD;i>g{2hg)(zWR5=b1m#NdUr&* z$iOv^5F6kRyHve{9}g}P;x6}A4CS}gd+VFrXXtyO_Aq*6#Q@$*0d8+|cHZEI;cVFk zao*k~`>7?lXIE{6Z*3WdLz?oGH(v=_8f~|5j6*8Ke!rp$ufQxdvlLlT%~uznz1G&> zGSenqA9}yyI&?+6(-w$f@)*4Ui$PW|{76`GO?b*VR_4Z64MZJ!TBDNUfnqpY7bkWJ zKV{?Js+Z5WTH63pjiTtHnv~~#;|+Cf)k-fe00NOcRPoDr$!t;tMY9hEvvC3KkFvBS(KV)CE2cKtgn{~z)-qX z5bH_|sLX4{vki=t567E6?o#lP8Z{l5YPfM9OB_W%%S4=XHyD z;^Gx>opJkR3A()!JJkd+F!DPOg{l!$JT#{Q$Z^2Un*}J3Fb`E;TP*i*+DxvO>2>pu zFl4ta4!!v+U8Rs4s!%BMQ9`sunh9#wojIvbZ7aHa?E4Y4&|S(ey4 zbCuGkjfNS*zK^?Oqmh~-#|FUtjrSW8aUBt1{=f~37B0-qev)G#A+d~h;7YtJutLC5 z8%HwUzTJU2p`E-xFq4$Bdqh~P!i~v-eP>@P=xi*nT&^GaUU93bji>sh8V3svJ(-wV z%ij3>!&#hllloQ~PI|tMA4Q5#F@xo5GvWhmlZGr#Oq8qnXJetPR6H-___+52$}lxp zIduToPT%@t5h$RzI_IJ19pAp~)6%+>ZL@LCY0g|dt28wU+bf05JlBc@KYV+~cgRu4 zWM!l0DL1hf5A>fDW+scoY$HYdd+9J>_^|C*SGU6T9F-jfXJ=-3m&6hDe5vgCL)29? z?MmfO*Iq`NzAQeXrjCvfK#e6B^#lcYcXO5sAHy`c*-l-@YdA?HbkTmJ5tUTo#Q0pD zECI{?vM>HP>FsndU0w8WJA5i&aUuXR%M!F*&>@Xq2IXA26Ia{crBr@M=kYC6rByH) zhKHT|>MQtcG}aTv4a{{-5H9~hG3@EmtMzQy*FWL?9=Ts6r+MDUsW_R!7dab(j_e#U z&XW&VZ~oyj)&tbJ>fmdlvsV=|2d9!F?^In3U-aLd%tSkpU4Q@x;kLLb51~ zbe`zt5rO?yZ=p_xa86duvg|&zu|L4`*>O3nf^-&QH8}6x3Zdd27>-mQ0Yr;XOrr$h z{mt?z+hskC@j<>!IUpP7^;aE=G%OO?t0UhLe?Pw`Wgkf6sQyh9b|Q9nFf$W+a}a5V z9Z2=oF=rT!+R!_)@FHP;^|Sn2f$PN9>Qi*VUo*c(8ARw{eu)z=iuu)ww4C|sIMm$# z7W?>NKI-c;zyAAb@CmI>lffC4;*!arzf)QdsGFurvCWz@=UW?SjpyN2M{gCX5NzOZ z_vOx6{BiRC0uB%xasGdECAjR(fV%09{Qvf%pRx_yt7T1j7=ZT-6aKzcR@XjB#UTFI zKoP#*1&@slM)e(S1R3EngsFRlI@daQk$Yk1*Bj1-ZFXoa^Qvv#nye?&C>vA0TuMp; zye%wJVvY6KeG`p7v)jVATp@1dhT5nXo%$Q?i$s3)HSI-uqVqVx^%r~hmc$dt!J+&Z zbeL-Y!Mb}k&II~uWvj-q|L=ePzbuNtl+$3sBQb%KQkH?wsEBW2 zKCH;Na^klFroKhwEtq~KPS1w-6=398F&?FC7BpNRy#3hDxY1@E% zI0b`OMlvuNYW9K!WiWVNv2vw-VmPKVf&he`x6?yy%tELZzRPV|@bSUk_ax^b;3hqC9EkF>VSM=BRxnq>QM*4w((yx12wW zEB9koR@?~hg&UAQA3(F_9q}(XO^f$3%tnh2wtZi16p0#6DhPN<4t}Zy z`yl!7Q#3L1xVK5XiiPqSB%?LfjhjX?(Dw@r3)=%ch-MNie~gKW+P8my9(sT$zdT>T z>*aycFg;uaKMP^tE@R_Jm!V>S9fp~lOYN_hwwVAQL+Vb}28fVA=-HSkDYZsV<~a5l z(vVsC6W7^lwS3BRwqI+Y!7HUIC=Cox*kg$ zMWsT94d@f+w%AnS_Ucg3d{^<2p>w}7AP!qx-O}OIK$f^@ zhbYJY3EW!GcYi%Gnt@G7;3&pNN=EB#NwICumxkT_1` z;2;Cjuyd_5{L4kMn*@#`bZU7>C!}41X_`~kT&73$UM91j2L^9Yxslz8e+Np}t76K| zmB??t$R0YcM*|g@5=Hn+VpxJO8G*T6(9mF4nfS?uMa3hw=?;3q@>nqBuuPVHXgt&K z9w6!+P>xB+$oRo26%&2N$hXyc!M$pJ*c%W!>4%YDFn|6@$hV*%doH;eBcWNbYL(+l zH@Kxi;A-!+BoIn=mx;0vI7p(z?LR4xa+(-dad#ou@FQNgygL7c zox9H;S4{J(kT6@;uLG<=lPXR9R=cAUb-DN#as!c&vg583{oC+OphS{@=79Ny)!cj3 z>jYl0UqOo;_ATD71f&#_TG8#T!mM-rJbakfyTdjw8v*(_y3}IhXuvDrj;<~ep>Z1m zVq%7MUW@GCMK)RE7(llvHw&X+6<$b7OUt7fwHBO%NEZV;yJsXEw|uPKZ|qh65DzN^ zLq1dB{GEb00=fK2hrY&B_ylE8(gV9ohW)QRo=MnvI$iO)bsxc0&l53yhjlU2Xkc*g z+Ug?Av~Ri7@j39+qtoL6^map7zRSocqN_1G6VbsBEnQESjYb&Qb=q(BacnpaIdous zSGT)$w5FKh&i4hI{tQ)#*=M6SBPl6a z^pF?J+WG)rM#*Xs(@hCCzkf-6T>J|u3M$i5v|<={FbD)nFoI`N566tY!c4v$J9dyJ zf?HU230gCV={8snDR|`gi#s%=w!a?(hD1$y&_(Gr^upAJ_KNVt$g=}pz>f|X8t$>M zu((!-1U3!fsv)NoNgG0-=ao6WUO;53Q0URBL_?*k?&T`@7C69m-k1%~l4L5q_UNV0_S&L%FaSIFWV^PvDXyZe3)nb#jG)h_mM=Px2qW7-U2F)R9p<-F zHvM&WJv{NKZESn`bB}}nhy{#xFf5P1cb&@Aggh$QsN$xNfPwB~&-srT4Y}^kDjQE( z^D*Dd5R(t`%i&>&je>~|>EX7KVRl&yKhi`W~1UNg1Y&;}yYOa{zn z%whJ1EpQy86!hW4i!>PxV|vSVA!Vj2*k_H)k9Ma;L_`R@plLsl_K_x%q+0;z5Z5dt zH^lA4T=CYh#AZ0n41PN9$D(M#nzmTw$L4x${OuUt2~U=00G{n=ezcH10OEoQca87M z1sSpv@sAToi9*vQiSZsYY}_2!p|iW=OQgMQurCoLRi?%&6h1n5H}+k98OLc5#c`(n zoiT(p=_6qo9Q*KO3Q6zsnGm5n$o7T(< zWh(ge5{nk)eU;v@VP0(5jL%(Xox3!n65tHG1U+Ivr@ePhVL*y1j%+6YnH0c=Gj~~3 z!(3QON-8!s7SXB9^azxGK=u*qOR^K5J-dN+BAC8)roHk=u4t@0nvMNXHvB||$ySro z!T6J~(d#}e7J`C;LeGwaACwk6I5>#g+5$(3GeEcF2hvR6q6@WR`Er|=UG?emXoV_w zTU+9dbiVg54s7h(eoBikquQmdtqu4EgmpBx;pl~7L82m%P#;1_<=!)=*3AcZ4n6QI z80zcaqATIGbNludDBd4Ed-kEhgSUp|54>-ppFHuyJppSctt&c&yz$9dE1jHQKqHxNOXB7m!kNBPN6JzCNa&7zBth92R6hU*B^DO+%WK zj@hdu`WKcKI%<~kxxT>DU$g}oK^k^E4ahYAl(Yyt6oKa=x zcf#ZhiptW(OYDn5n5CaR2WgHudJbfcg(WI>YVz019OIXD)J0al;^HGJi}N`tDQVtI zWq4qaJNJ>(>7Ib{Q(XTz!?%foxP?{U*$wGXvC<0>=?qyI8HF>}V)Qv}J(9&@r9V8) zzTAEr4prg`0V|6-Q4vOc2vihy*cyX)Qei``VHbWKf(h#$^xaCz%FNK!?+p}Uz#@TG z2pYJ72y>TVmH>01?#8g&w~K&LA=+A}fzX!@R;UxGD0_a}iDft4{9>}&OLpGuK$T+{ zyNW$b$`q$*tAI)$Lsm#NJ=%32ki1z3FP31{ZsJtNv|cO}WabuDG=18eA7q^6ik9{` zwyTBE>>BfUTUz=#!(JMM?KU(u9=jg$)x58L=n%QP^T8yFAlUqL?-FA~R*R4;X}%L% zXi^rq=aETC`?mUNM3o=TI=32&ume-t+QAnXa!^9)r-9}0!rYr24C#w+A0M;iWd7&> zS+wHv{%@sXbu&2)DJgxfGh_S&CjcyF_p;+Oa-~tW`1_hQYe-Gm;O{crZJ!^$^Z4=h z)qRnudRwKbBzhfVcI=o@vL5OjBoxSG)3Kx8R8)*On4ey{bSd3<073jBBAVzG!hp*J zJL$x+DKPq$xs8<`{e=5LlW)sQHt*Hlzn|ZK)4+5(cCf3#i8urL#2WZTTa0t82E%D^ zG@WidaNRc#%W$k9WX08FpxE4VtD%k^pEp#Kb^*kt2M->knT<$2VIZH2DxPA@qLCJ4jD;dnJYj2qobpv1wIkDQE1sNUbpTS&%yJ~DCo$tWVwvYH;{X2 z(&X#YFXchdK#u~B@%sB8XV)O{*<>7oRfYV*B61#DQ!0Cuf$p^qBF#r{AsQzhbii&V z;64+uNH`GLn3JecRh5AcL99`+3OG-!MQ$*Sld}rxH3>G&%pPqEp%G7r9VnYApe>h{ z-q`hf^VGx{QqNNqf|CXj&PeM>ZaXiLyPd~K1+fZX91!UVxMN2dC+m$uoJ9^>xUmx> zIa82b&T&V|&WchM6sk|S6>j5oO)%)4i|s<$RxBU&Nr?flXwk*LL)zi26zYP!ux>5_ z0_qI%jX`0BtSO3IFG$e?iol7iPGR+;^<8=104$PcX z5su-IqJXV*rmv$iX%M}0%4BISU_<756s*1LfX#uR1PEsfILBZqSMOII^5V1Y!-qg0 zs2z!Mrpvd&mPGqBi10iR%f9yY?G0IX>KsC;@{1!fLS$xQ105Yd)Sf0L640XCSi?%U z0~Re3U^U>0!TSQMWnlXs9soWTG{RWI{w>H;<+wKDD>2B`js`=)I8Bs5J1EI%`s(88 zSFT*SflZEQNKPxv(;1SxhC1>}A{iaYAi+Y1UtbH3B9*Rt$aBV!1YpwCl(~2lbfHxGTX29- zbH^QL7QUv>m|>iEiK@Pm1=ppeq^=(cM=c8GdHva{-3q@ty)Iuida27-Sz1zJgf=Io zfymfdOnEQ~qJPvT>iP2^%v!jP12!10!erq!**7&=k^Ki5(+P|XAksVl&1Cc`kZHTV z`;BP*4;ZKCXx2zs+3@snuMiMt$%&nO1~9vskOnH_&~tWv?t(D}qu-BC(P0MbK|Y#b zKwMaxDXS9z7vPvl#w|!~H}_WT1-O^yMmm_TuRhj#0xFAQQqiG7E3s|-gWstv39wD*j5RG0%NL0q+F$UFAdfBje)vsZi&iIj+` zA4VjvL3^$pee{Inp4V3eu<%d$mA2VY*}fjWjmMGf6<@dyW{UH~g#S|5aWIbKAnCP- zqtj~qefvZI&1?QvRcv>_WXY_f;VP0+Qg8n#q5z@cA-%;^s3CYrf@_xDi^W48_l_#S zn$l@Fy>d6!?z0(i2UO`r8I+EVru>B}5Egn|!t>Eh1AJrVw>lck zzvDlf^NRl{QMlwHpwznpS=l1M(KHT<=;kO5NEizmG!A-BMBBJ+NwT$6RG2OKov)Uz6`4Iq7KC83hDzOox=NIWk;f@3A%MF8UOnF z>V=YG)A*WlX-rjFimmsw{hE_cC60avuWH8b1|ElfG zLZXVpC~j#{3KbX=g^po`4}pc@L!%~EYK}5uO2lZJEmkCIW~q#}V}U8CV3wE;Y7mvQ zfF`9F>bT%iMkY?C4kf7Nh~{4Q`-UDOqL*l1#jA7g|9;y!-#Nyz1bt&WkytE&z#B~) z8HiEJj8?SWNKY?D6Tp8_*E+|f`)Os~b03D<&$F&9%EA1VxI5 zEs?cL&JMrxLFdL`){&+{MXB03q4jX4S3N?6{;+76)k*X?JWDzWW+`F;uCcGJH_NrB`5xYPV0hHw( z)I$?fb{fHE#Ct;acT8g*jO-W);e1bNx>R`pLVzJ9nu?eFF0%F8*Ox8gAlf(lP+yn~*E2eo84=Eg*fL%p! zC*#(UQ~V@|p_a6w;C6B!WgAQVbq> zePttszn@1$&nhTLeQi+bredX>CYZD$cOf2;JA8a<;_h@H<|$(^$^epf@QrA>Yq08* z7+uS3Zqsw~LcX>~iPG%vl#(OD!o;^R`WQEQxloISbXrFWrDL&X4di45)=(=-)9al@ z5dl1~j`u)_({L4S)*{|fjb5vf!;+JmD^m~(qh_Mem!3{eNEbH*{wL-^=t`l2r<4Do4nWo7v;~4sTmrBH7TI;K1&Eu!oVx zOPDVMarga`i5btvT0LNlyVG>LFUzYYUC6+3S_}!XaXHQq1>vVsd~00x-A2z=2BAC$ z+!SyFTh75ve%%IwwKc2m&D*Q{EuaQqXpkV^md{U|MAO^;pyA|+(f-tsaLsG~1kL@oi}uc2 XJKCshn;r)=TJZ_+)$Dw@{oth^r5!8^ literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Road_Type.png b/Vehicle Live Risk Prediction/Images/violinplot_Road_Type.png new file mode 100644 index 0000000000000000000000000000000000000000..c2252c6783616edc720c567eff76da055695a4ae GIT binary patch literal 40297 zcmeFZ^;?x|7d84IDk`NS25Brr(x5>?F<2lWDQ(cHbc3Q`0lFjAp$XWqEq@B03NbDbZ~zOMJ(TU@N?xogfb#~AZ|rlNG6b|2F|48v&ga#vI_jFOCD zJ8tdS4L_M-`^5qO5_7nE%R$Z7#KHNFoiV0($Kk$}t%H^M-Q!NicJ}7BHUj*j{1je#w--Nq*82Z^fZx{6^z8Aq&2R7}d+*C>+hZ909rQnn6zODh413>(zj8_4<^6b% ztA~2)#@5VIB>qCR(J5*i&Whq|`M&3UJD!^9rzq&}D|qr;A-^pyzo5;+Tq7foTSs@p zTthuLZX-=2kKggjE_FSuqwv*nqld3N8@kul?p=^wbR@jPWe*RY5Bk;ZJ{j5Y>eVmz z`l8{Zp~l)f;B_#}%XrS2V*9^*eCW`>Wn_-WP@@0XkL`gufPZ#kJH)sDgW`W5!T$e` z{C{X(`b>}LJG}n-^=oi+bgxkaPu8c)U%q^)sjqLV3E?q5>PN>SO8h&lQ|ypRQ<;)$ z-Ik#pE@Y`0(a;)9FTJkfcgMxnsYHM8-o3^1O$zzD5>avo}j5qI^)XsKV4&5Of)qb=c-&xW_24j*P=$++aZdt@{{TND2AU6l2sF`ugl z8Wsy=lkDtwa~}U4%f7W-#U$>Ka#>cEk)1u8K}qzINcVl;ebm$v9$uJC`@UJ&w!|(z zgVI~s<*R81F8#aoy*CzU7mpk|L=Mq1Xj~bN&VKxOXQVU9we!Or-_@n5sW-!0RnnXN zZ{}JGtvW8$MM>(0goLcl)}CERmfpa_*rLie7Iir|Ii1PfU4^#o@DA7O!i5yz^=1^m z5O`~wjKlPk4xGA1&TltRb8-1}Es&*S{Cvgo_p^Dozw9W|TMrMj-Jfz6t84;?v9P#7&j$V8G3Kzdu`4|yH_}~d9E!kTzBuz}hZ2*LEdKs_=Qdl-NhuXW&n$eS(vNmdivR4{F!d$(c3s7H z7p~6C%n%X;8ZN3`4`OR=R+i3GmRd=u_doK6Q+ZMAna;<%PppI^q}HcpuU@<6R%mEf z%~3p-Rbr&A8P=+*qr;ut++o~6g-J5Xc2j(A7LCEy?N6l=67|%_~

*t#1@R3R=Wav_4-E~iwq|=J;@_M`%l`4>$8agnV%QT~f-X^Czh2h&Txfm%;)NQ# zVEIznl=;$Rk9Ag|7`ylSN196FXlpw2xcg#(0DX{jI}_o`z%e4@4Bz zoO?YB;RK|9_;7Avr1?6-=^I2@ddZgY73azB)L2=63)sLl)z#)2ibX|5&!0b6y>jJB z{Mwjd{VeQvb2P_+fuS(RbMIDBp9bDfsi=CA?n#3Nz)Te^$v^Y2vpiCbTkov+wj zwbX~50q;NKMQkQb@nN3>AYoDT)$n8o-#O|wnwmUn)m!daQocMu&8PQC#i^vMdJw+W z0ELKqRe`OwXDc%N+1%uG3#=OFN1F3Z8={GFn1!u~uEUY-v2zBFtr~7CLtz|6{+YJ$H`%4L@)3rnIy&Jv^KVZNkgQ9bCYoS} zqR$GM{5r~~lP6ajc6O;CJtc+s@m`ffEngwIRm-pymfjH!bl}C=w%i7( zF>6!pQ2x^C%aZWM+dE3j!1XF;v`5a8EQ_JoL|(I?>#Whn#+0}1hpE@s*&3g5Mx`() zUu-PNOiPm=j&jd}qZ_Yf=&6B1>t^rPns@Q~Z0#6}`$T@bMKys#eD0UP0z~Oih=l$H z)?G=*1WW|?e9n*b-dq`N&yJ4rS{>QFrkSOeisCbDfLFLk_sJs23)y)dD|TgTlO=BR zjn{=-XaATCyO}B7>uvwRYgn#_j?MbY+ya~|GYGIcr7jP08%k_?#OvOkmqq)Cirpi| zYhyJ(Eor1VnMXiCO-t{=lQvj|oSdA~T~ZLO&>|U!C$YJYpD){79V?#s!MxDp-0Rv^ zI{lS;`_wTqCbp()jlp?VH!z4YsS8g;ap#NJ+4AMPwCqxPXUpaZ=-2TRTcjPB#VyRo z=bZiD8$41{q_m8Td7CvjqQ>|frzz4z&*FTuvMwPbFHf*GhnMH<*#^i%x%DvZ;={E+ ze|~^7k`D=Bsz7?ZpI&pra6`bfKF_57{fOuL&`=Y6&W|8=TMaEO_d@TP??*y$mJ6e; zb>)HdQp=wSMw!~VKho0Da^w{hGJ~X6e=IlQ%QBZ*78*Aai`p|I{?ok*|MlP6DF zS46tt1anlccJ*$WXoniJO1ibc4Bh$|XT62B&1{|0*4Eb4&;MC2d&L?$6VOZuHR2xy+G-*D;{_Ij0sym>Qdt);GR1esPFWy~ehGO4gyV+aV^gH=JaicFpqPvh-#ogvp4BRJ#@T!iE`I?zJiOot9ijZFw z*$VGe?uP6u^cL^d_xYjt;7b7}R=RE`NcRSj2JXrYMhdbmlKd6xcDtykYDXMKVZ(*h z4mDM5ZP-q^j`DDEH9~aCQs6I2sDGtj(vyYo(duN$RGwvfmT*O2y?Az&t=Akg{I)v; zo1S8g?21jd$o`qBimh^V${$ivwTU@3#$Dy+)J9w_sV4Ah`&WkJ)COR<46bhuk^3 z+8E@OFgj{6#drSvO$JV-7JqiH-&T?kiV|yTYD!PBi1KHizH;7`xq76e#L+!4|enM!*3q14)V?(Q(|^*$=;l(|o6Wifyp z$8YPQyb~C>NZ0E*S0@q@895QjlEno%jnG2Qn8f4pqz!AvBS*A`KUVg?N-*(nY;)@M zTrwa05wN;CmL2l?bu47tv9Hu;t#Uje67kkr%sR?hv|Em3%(<<@T(rPxUVtM`&i39& zhePM^W!I4wF;g2GoAjuyp)kWXggXEHG0N1*mq*D3KJGXaqUFYUe=d)H-#&|JN%io>%r00hy*BF>txGva%u$``^H0=BhrVAyV|-puZNgr9Z~Ut+YcE0T{zhX)p2w z7{SLcDeN?UE7E1)8EK1?KTIKAGqY*e5xtn-zi;7Z4U)a!GnOl}L*o698CnW$4SQS$ z10WDtw2nc>*h~&!78#u=>}{j>nx^!GV88nPtXJc}gTfxCh|SgZic!c@%@A7RKYbDf z@Oa(OYsJ{N03M-gXP4u(T*+RLmX!38O;Sf8l(#WWBRv?Vi;B%f2Bx=oFi--AhlPBN zn_{63FdtcZY93xwTbrI+=G7JGWlMqm8h~?mikJ7s+;BrXB(~UJzivn_w5S1km{)q* zc1Zbn&97fpAEp4nlHR41bP{7_%NQ*4uid!u(n?tOO}4CRiGhM?Wc$6(J`|*O*BY+m zGq8uHVMotHY`YY6arP;0X(>ghp~9k-J24>vB`ZfaaUO2&QI;b|jwHjbANu>ZZSS{$ z%;pK|c75l_&GljFvDD-!Rae)dwDj~b-iE)8dWuojfPpX2$O3|U;OlcXwb6QEV?J5B zb)nrbn^nTeY-@7^UbIEod$n2IdN(~=2IO#6LZ17Q4T^H8a^vRVDQi~{F$G{tnyLk4 z7OkXPcws#}z znT4b#*iTs~D4}Wxp45F;pYJ@4tVoZ;n@xBlbAYUbz=k!IHMhA{omI)ZxgCIBoBN6^ z=Dsf-#@r;_h!n?tcmYwtKJi|uHJtw&VLJ+Qb?1e`5yfaJeSnxc`4$?H6L10|oy{Db z_X8d^Z%!K7ey)OTcoK?=6qLJNILQ_YwqCmRW7H_Oqx8%f@$Gac}NoOltopr zcX*PUMn?T0sE{4?(pw&|?PdMx%tu>NX>A~&+kT8%nH%O26jbNY%4&g1IpqEO zjNE$h^yEHV&2ogKHA5^if z_Dp#tN3Z|k443vUx3jljfFa+Ejg4J}s7Krtvi75FiIiSsKWqVYO7T#r?xBMR<4{T3 zS?rjunQbsZn+1XC4Nh`%c@U0?x|vyus;VjzO}5RLtLG5Fh2}i-W(U~HBhg#y$(v9F zm`!x%hfBH_OqR|megE-e6bkEhX4}%(q1rGWs9p#XeWd^zQIK}5<_IH0W=G{)ONIBA zc>e^(yDCquQKTE0H35DD;eA3eR6iAfT|7-+fR#r1RZ z0p(mroCrdu>+2ppcC~ztSrMch;})FT<{Jf|>{bnu>6QBB~W}McJn+wl>!wG;56jR%!uwp9xVJ zRU8o_wr!_^E}o32OM*Ebd(M+ZL}Z3#c9|w4BjakV;bt5RYGb9r+vX#ip@%I+O#58d zyaVQQO>&+n3-A)^`hdx7=@%tc(pxLamR}$5)r7G!va(w1-~Y0!4S@V;o_Q_rWI&x! zmgcYhq~ACC0?e%rJJ;r91W9lHM&Kl4dip*OFYhlz3}m(&dY65ffnk4ut-@Q#jOse3r0_e z?u%wXO4e1rICCYww-ClL2AMk#iavxrEhoE++Ug@EJf&W^TLZW85qORsa`_YLBRc*4 z{cWLqx*6KJCfX2WG@-P2>~U<@2F`@GQyOA^8*HP}-XJI#wWU|8l{3y(tmkOtmjg^A zb<|pB+uha7)ZdJr{VdOjrX;D3jYz5isg~s&;f4#bANTobaP#J26bF}?d#0>dPU040M7geI#9R6js+ zGH*ZhSW~yi&e+#@aCEKDm%dbBkP>sFL#(l+im`EGfmH{5Iw1i!rK-1w1u{F-I+g`> z5C$2K9qYKtNP!jaqhLi8vk&%J=zpZM$%8558_g~KmHzN4uF7-k`rG`p^haI=favn_ z@`So;z1GK%$1GhySnl&f$_;%)*ZW`(ru#0T>ZsRPX6L*?l|byTFTPZ8bcTj4&_k9L z?%avpO~>*x;SI%OA5yK0U;g#0R}T;o4Ss*b66?Rb&3|J%u>ZZ346teN&v9)3_J^=N z*iHxZgZ~#lBJ-+(8XhRqpsu146K3e8O>lti1Od3SfssPy_9?{K$EcOUs<{C&;J`zE z*3x$jiRRhi^Z5tb1DL~eN%uvUsi~fl_Mi|w}ASCLSIN|MbbqqOD$T)A0(x)LIIXOKhM&=7)cT1;~jOvF3crui|%gLhHp8Nks z{tLnj4o}Ikt9sgop3qM_4sm#L^(z*`ysdV8Hoe&I{sE^D%57;A%1fJSKDc)V^C^C` zu8%f?Tj2b>174Moz>RlqwW^3WiNLXn-jAsr+u<|m!-h7?@?&FdaR>4%99P!sjgLZx z^z2f+wK>HZ{1};k4_SuCV|651r^2hOq82t<%+T;~dS0HoU&7mKi&b(La3R6LDKRlI zmMS2&P#l-)B)*?pqcH5^Ex(h-sVb_F zA0fat4+-s%IUY~NYIX_EPy7-ECZq4_>Pkp>YSQVl2oH3262piS+grSkA#*Ref1z^+ z7Wi+OIRR;Ku+sMj%sh5h*2O-jE_Mz;sshzrR3(y>jiEU&4>D zTXRpd+Ye*+St!b0ctCLwE@B%+AP|g>`WXPnDZU2eWK*I73@!mkL`1a%i<#b>6c=|H zk?Mzl_=gzi34p5|$j0_3*`Qg)JP0)&f%HoV^q>CGLPvh7O6gO)hpeBFkZ=W6pO875 z$eSo}q7oDS6bBUwH^6%P;d%`y;S1{s915shBm);5hO#`=ZexHZq1+x#3xgm)Oo4hW z{lf>9OBP}=RCsP)UUeNEo%TaiSkKO}80XiBX$EFpDSizUf#-}o4r>#IW3Y2WagxB7 z$;-(Rsn3?ipmhBoUx-Kul;nePsDy*O(Sp!)?EdPehD+yqBf;C*(P8Y0Uz{;eW#ESspOs1Px$od zmiyA=f|Qbi0wm;!L(I(SAX=FNEvi#s^-fhyEhIcV&A2wSdc?uv%cEU{1W5IWYpwt$ z_7D_@P(CBz$t3Mn>Z}O?*eC1nyE0FogcMCQAB0$n90!#qRLgI!3_B}5#E1d=i6uWF zw5N9Dn!2<1LLo;;0O(_Zq!^HhU~-bivMUVW%!UhFhm%}~S&?885!2EiTy84i0(y_U$`5Ns@X4v}K8_YsEe*`H*N7;Y%_n_3CGTgNVC2Pc+TO!l7ON+500XuDljH8M&t zfbyurO3!nz14quKzW&1F#2r}@RB%XP>%(sna2$n$E)C});PCFE#!hZ$smP1{-6yI^ zeq#-i;}`yB?+05Z&g(agqlB5AImbijZ;fWMOci;zYM8=^5n@w zOibK(iw4F&QLbH;U%!H4GMQV9#gzPeJAInUX*xw)Wtk-wh9gI+a+0v)+w!;gX92;o zQxuW?6IkE1e~)oYpo-i(fW`1{f1tC@#J(a@uILhmj}#jY35EQ=m=N$EbVo$NzoppW$KmO2-=#fm3R8LJ|_X05PS~ z_F=_m|2<|13cNSw;qrt-iG#HXMMhl8p|h6xbz#Ar3jC}U4!k;ks|t`fk@V4ih!&%G ziE^utlPg3i4*Z)@>$Ac0J_!}Aor{Ix)=w5Xm9qY?1;_=QXg*vYnS&1}KAgMpYK?XT z;CQ}muT(Dze}}fSt@R>Q-ExEGMc#^MC?(GZ}&x`}+e}G3O3(;_i%RbePXPguNO;McOyPEe}cdK}N@zxR;C`Shi)1 zOt1V~59`}US-lx{z{>u$D=IA;7VvN(sacelL*)e2x4-FbpGn{C;c0e#yyrhVH^<0r z{+7N$LY*M13RIiZ`0xHo0ZN&rOWO;UZVe&~K~Rs-Lsi)&`N-%@{@+aqp`K0#7+LAx zd*=h~u0RmEu|^nv4?@w%<6KIazJFV%^&&%(xOjhel>G%R9v{+kAG$oBXZ;u^%75mJ z9O2LCV|(}d5m#7R>wjM*r0kM4iGGNep(5&TLnxvJ1pip1$c*zM0gN}>|jPAQm> z9a+AVSl_2N%2L{dJY51u??ynLk-2l-2IwDaZf% z#rappf{wT{{R<;{{`VQk4r)m^UgJE+D(7r6SHwZF7h{P$fBoY2vmmy2{u$402*p_w zj8<>IE#Xp#7>#7c+)kl|(F=lw5xn<<28yE;71eP1`a;9W{)yMGUxx#UL0`WI>tXn} z3kL3sI{bZSDo+qz>+{gHD6a>0514i-(Nma%@;0Q(>wt0%S7d5$Yx8!k)O9WoSTvYl zWxqQqDI~Alw(*Hv(}u~HsuVF@+Yl?J?(~hfF_7^?=+W}Xew2r-PR<_hB+f0 z2#+2;5|35I$WqIEd(e3h13Gj53l+Oymv6b#gbossfT0UD=E@;?HGG6=o=o7Th*^uF zLWRl11&`(XcvU9>>x(=wg82vKHS5}2TGZJ!cmHoXCIHq9L@sA0u#UwZsa5@mt2_rq z(!ks*Y~&N$VNd_PQZfkDXYn=WRWsKu$`_}44WW{iN~gw(dHx-3J}xdiA-Fy8o@5n{ zlXEQtqFw#J%_O2s@8-T^^`qM`=0n;>%RWwX^D*p}vHJHe#zw&zu;I;x#OC9~eD1bS z!s4#^?(l5bZ1dWZS^jn0*pxxKLgdr>Mqw z{_kO*q_`o^$!1c^g!1kX*8xlp%#egN$O=eiMoPr^_}{~e={%=S$u>xDl}34Qx^m!f zW}x^o0T%{YEg3kz{l5>~|M!iBKwpC;#I9ELS;A9IHm#GXdXpS&7c2if1ZCEIid5EF zWS@)##)+;%!09nc%q4ucHsaL;kDELmI7Ki%8eo`jsht#fn7zr_wIoFQRTAXyvc*nI zH&7~Zcz_8kdle#`*K-BR82I{{43%Y~VzI!38jL(}8@c828Xy3IIJS z`^gET`%`#p5kLl+FB8>AwosnZc6QQ~+^qy)_&Q#dSR7ioW|hX5bVc?;*R1u+{HA$*02hSr ze%rG!)f*k<bxEma-LP7!5|1;!y)-R{*6224uWeihp1d_{rqX#9(OAYQ}n zMjEc#xH#A_JidFNvW8DAW4(!mF@(Jt_!q}{@=a7pk>&tCnT`McNa{+t84roE^R+i! z3?9He?ehE~%*PK1pFB{mY{@pX4I1Be&PUY>Dtdwh?gqtYzT=qiyQK7buZTNp4!3|K zT~uQ?mHsZuaA;yY{kFSYa=S@k2jh`O!v_a8I22#wG>W)2RNSt(CU(@Et-I-E9=NY2 z@XXn>%F!OP&kzoG?h!75os*7$3=-h1gb)9CH1%%g|T+R338-;@p&_8)ENGdcZq>|K=0 zz+PKX_Jbmt_ueSa(1}bbjTgj-$M)p#hG-tP=!#W#JnkF;?vaJ%!5{`=zrc1>a*(@w zHx8F7Lr~CsF`=KMerxL1Ja4<6eSp_eNpEUtsUDSGAy*+zZQ~?WnqkZBg#eZm;_c)L z1*+5F@ zXy%kQ`OVcdY)nyW+~xQNx24r(jk-S3~utbE*i?kg#JcAs#S^*(F4CUsb-c zolX6JTM0w4keZSr7hVQ0_hQIny zo_pWCKFP**jo5b|Z5D>8l;7dHrv8g)+&tAy9|^p$TwK|Lx>8equys%k?D{+B=Xjz>>e=}0P!d=#jT*gaHGPlB}&r0)G`JF zj4mj|>aH5kE>JJ>;jwoR#_d!eDc+(fp zpEm__si7)ls-US!70$47iSrcVHS_I!+rg3BMRFXifn69fwcL%0f)@{P!b$X&*|n`;+?3Qp<#0>(u23Xlf#!M z4@v&C()*NW44k8B=~+#{*3AETqig}SSwKPbMc16eXALqyFmbSsm7$t`z(IV}*&bsr z3F|`(+=c>yh483lcBjE5s5pwE!@}Cl9b<72^9QpF|b1L zL!1ZRdW0${WyNj$_xb2{ptcyd!4In)1W>#+H92Zm`o*dp|D3Yqn8o=R_fDu?`b4*( z6u1IpWI^>HBzzENVbGb&&&z8WMr8_cS)D$Xz$KccWMteR9P0MFcX^bR`k$>f#uo}F zTs|Lsm0RGhf0QHfQj`#}>q7mn=C&cbl~TY3S-=@F-={^x0}@$*(Ajik(wzCgfkrC{ zjI4-QDPrWmziy=`-z3?Tl9tQMo1vNGDK>27PxkL)Ir_)_Xj2GXSZ*~OY z%d#ezYv10z<~e-(&+H*nBor6xAdk>ogLF2O4Ujbr!9UuBG`S9|$&noZXh5R5jx;RL zgOOsj?c)M0v0%S|`Ao(wCg|ND?lL?oXa;8h(Ih>%=lZA)kT0Inf8ii~VzVk{U28-aD&JF!P}=R9Ty zWc|p;Dz;{@HO7NOYZS05l5f?nUcWvTR%f0D zQUZ;&e)7bLO8}R_YSeNbKf{;T@a7NU&wbJ0SFeaGyH3V{#f68H^Lj@|2Pu1GWCXn_ zou{)Le{Mh3vpZi7paidXg&@_tbuE54Qh5I2&|&tr*iuPwceI&CdnSRY@mEQ&O)ihC zOpYHda}p5XJn%pOLCCiSMNcx3NK|sKlTm}|HiGks2mlA*6z~K;nqzUuI0Zur{xd0Q z2>wi)iVY`ykD2d;1k)(jYw#s*{ZEcK0Q6eTbOOH2y<@@&89@Q5$ZOS7NS6Jz1jyqY zeB3Pw;vc{nE)kJJr9Ii6poEw$vYc2{xhgTp$apxL{Gt3gt+M({flE*lB*cx}8$3l2 z6191Gnm#J6n~cG18kaf_0DM5^fR`^{UJD8WJBFWQLmflk;J^T4WQAI8MlEk(+R?WTx!D?&UN?gL)&F_@rRXlGS%I8H{s4mmoXrQfNek?(oN9 za4@%}+3)VS{D(BPCJcr# zm{sHE%6Y&Ksd;fKi6KwYgwqkT547||M{aVpz5kOZT*AU_%)c#rEo@&rdv;T0e>&q^v_gp$t8TXEEkuJJ9O|5IYFycwDR1c!v|wOyxPNYExDxw?1*W4 zjNF;Ls@le{<+-UfG_@0&YA#O|@vq6w2H_5kvJ#$g<6>HBAF;F+uR9fa??w-jJJMMFrz8*;;Fh;Yw{z_`3Q`L6=Q4 z2x;S|QxVSSi)C&^6o$fToa}yBF`C#yeqy9q`NS1W0 z;(u7%JV7Y}!Oz{-`N4w+=?%t5g`eyeV`O3>4evipKl*FGcorz2Vsup>>Abd^H{(&vcm(_h+Wkw?EQ?%&lVd*~Qbvz0_`j=Hvf5-dxI7Gp_;=HYfXy>YtP z5Dq)-R&IWNO_+`NQ$`a`B?lQ8${u<`{6nJfaz%^pej=qDL{8slsvv6LXb#4KEe4rp zkcZY;?iQ$h$fgNQZFcS0E(}YV03%yF2$*TCgnF~My2bG9)hWFFzB~K$3h-d=}>?1bRU?Q$^iv| z<%^Qoqew#d1f)DNemjK6(e(^F`n72+(n0ih3v2eQ3l0R(7maISgU zIIu(fzF)iQ$D3z9R^{?4ps#_*%YpZ! zNj!byrfT$^=QIHm(~m75j-x?=LB#sLA!x_CbDYS zMj+1xLU#FnSI)l&W^0 zK2uiAc*?ANj=J7!!({!-moEpc8Z4T?s~$XdER~T*(u38Horyan+;%C~GEg&7RHb2Nun;m(NzoBXMY+-bGyDx-A$yNs`wE~VF{?Y4%!jIueC(u5_khz-KqUs@(XIXI#b=hhahM&#w%^zR| zkUVG3JpJ9KI~}ip(`OHd#3q)=S+`G!0FeV|$=7m6v}GbOP!mm|6r} z0Q#uR+R{`zxN12EORe(n&{ME=*$h)3QzRB-fcZma2plLs9f&fJ32U? zoKNf%7W`6#Z3t$mbMFuh`f`#n<$RWmuK8<*0 zoAL4B2F8crkkM99>b6GoJn9z4deih|=abcpYe0@2iJn%N@-$4#;MW2;F%-sj6J~8z!Cw6qERwOX8S~-8 zNv}^`w`fVZNn*akVhs%VcF8fnbDdunYE-+kwi*VOx~^rOWRivdBI<4+{IM%?fP{#e zm_Yezh1xmKw1ExeQJxCH>nn+3;xU;ddr{dqi?43d!1h2+G`uQ$x0BI?wvs&UI2>x6 z`srjt5063kAnnlPLJRZrr%zS>-I&-85+F1Fr&Pwa#4AAd$Q&D52pG04&rYPSOoe%@xoW_`7h%&gr$2 zj*aE(h9(l8?-&X(Y1I>$jQW;YqtRiu26`ebv+ytGAK>Z=dHeRKyX-RZA@~?1Ei%iK z^x_1rTq_PMOiRfR@F7V6ISJ<^9sFFVBq{5HB0djP4^+D&5l~4^OIthjeH>zBT)O;z zLrV!j*#LC`YupYI zSp0p37Qx-jA0Af zeXq$}*9C#uCCqaTS;KR3E?ARFwb?zUA3`GD8o7l}lIp6^JXYmo)~Vv0vgNU*Gvzn| z9gC>jM96*7O7XquO(4cMJ;Y>QY}3cnTn*|V< zc2PN~gCF=XpH2cmD?9>fA%?-Hsy#i|3^!+w1RN9i(ZIOFx{4R+0MlH`dz@Q4P1?Gs zmTMq}ptirMLFl-AbU)DM1)`*|Xgg7siB77#_Lfw&vZdr3?*^*meFC>7fX~TaD=V2J zStY>d2(B-B#@OT+FJ6HAhS&qMciacaC4hBbdyO#}e~1mgfB)Xyb?@H2GKD)7o=4gyoV|2P;2N|$(ecs6eB#T>e!R@cd=ofZlWy7J$HB!b)N z#xNo)$X78)vfO{%g319*zz)s`lE-2OnWzUL z^qR53k=t=)!lz!<5-TnNi5$u+S9Xa=C8(6wKAyz(c)+Lj><63@K%(-Q{CV!BxIhu- z>C-tE_F;L5o1lmT*2F#9hc1RQrRSc~lo*x=ie?@~dwje=D;+t1ic-cIdArJ#VP-<% zJ&(&k&!fu}__NnO9>k^tASO?3K%0ZKCcG+2_&ctE4P;4*f>lQOb}p-Tx_M#O_VDSq z-z1;X4eVj;JQP?jG{M;X&l#bBl|^$6zYmp~#29 zV}eN6q3DBlIPeneSG#$_B+?qD9tPLC67vyMk$R)Iz)GQ2zyevsPU1%g&oK_(r*iP~ z-9fI0yw!TUYqFW1c+e`-b$boSH_(JY zDVNp2_AehrHvB&1$w}B$3OiV-zx^=#zRwikOK2I{yN}==_X)(Ppd+1W}Asi zQ&WPiy(8tjH=rnV3^kzinY;^Z9wFgjegW|wIU-JU&@6f4J1e{^q!lQAoH`1uBN7J7 z{^n1)FH&GkAog2-P7o&3MD3S4zP^0lsljuHxXR0YNegUhr z@;{r{bZ(jZl00GeRW^FEujM3slZwk;?Hs~Awz)+7mAU%r*sR{#dV~CYlned~VKSwIEn`rUjE)tHBw2>~(JKMQcDD4$xpJDN{{ zwIGL`^z36><)hiwqHsDy?rDe4&d%cS2Li^ItR#T);H@3aK~4!!Yki^tVY>Tg2a%i4 z#kdz(_m=Cow$d(9%EWL%{Rm}X!VgL}m%4VK{lMPkpbdPaJ_NbX%8Qdd>5vk{d~b00 zN6;>E`bXI9eh2oQX25~#Dkrc!ML3LQ};96GwK{Y z_AmnqXVtl}Ww%Aw|Lkpiw+}Kq?5@ozjdfQ))gJBcvIt-JF8V4)k)2kv5gS+bPB_YE z(wrI-MF-UD{=a>F=9>u@M@_3yN$gGjC%<`Nr=O9OETiVx=~G}Y%0fu^8&_y*Xl7=X zj96n@2s`Vyw>Ni-RO`O96-6s;)uLL@IfqcHj=-~pf5moBb5xoc?bsO;3A`gNwJ5z- zlCn$EngXkWkoK9rv^~0=iDYm`UdwZTe7e-rn^!aOJ=edhw~Ot@c4$oa*rfFvizV^e z(u>2BU~?Br_P1X16a2Hb-vWya`O}Yuu1XPH!$BWFi30`s$1* zWXvCao0M8IS*%c9T@Bcc2#AOSkIKs^k6FC57FCRdI0OV>#f?RHr=}PF(gbCN_Iz*v zD%{w_#Ocx#j3@;+3BW-Ii-Wn5w^Cg@7^bRiY;Cy3FmmJ`GT$fQ1@eIqKh3cw4M=o_ zmt}0ffV(ZdirrfedPlBCD!Xw)X$RnW_2UJsrxgeYj(i)JlB%cS1yT1Xj;nx=PMzS8 z^4in?zkP1|1z24{kLBszU5d>{8}$ZH$GrQgf$4jbph;`HG@aK|?&+S~@|g6b*O+_* zBm$s0QYWuGNa9Uw?T!{SR}E|5gyHH~>yhr!#HHEWf3D8Tp7JG7;q4q#*Jb0W# zLjQWb5YJ$xkObBd_~l4dW^DN@#P=ZwagEbl>1~TQ@WyrxBq@uQGh5)Vq2T}7yK84L zqKH;!g1j@JU8P!3u?)H^I`b{VqC6M1GxbZ_dWR^;CLmYy)#e-;g9KpadDi4*rRT4Y z`^+1nBuQ-CG4W(Y|7^%q=1mEBWGP+5%cpgeSNt7Iz`r?k=$ozzW=11P=6effOt=gp z9`rdiXm6>Pm}&u$XdWOT^5Jjt)60l}KZ6b5^y+6DICg2WkaOwtk)y{R*WZWs40(dZ zRzatlEjt!-LaN;A8gx9utp{w#`Ho2bidqUHrOVfaJ~^$3Al8E;O(NI#lF6Ss%l;;r zuYNo@uMVf-4bE6D?G=ZDs#{$-K)DV>Fc*G~rz$&k>Cz?C=WsGCeZn@O(Vkec(@^|= zpAXLb_LVO0Y?r{9_mpN}hZ64s#1j1eJ#Scoryaemh^6&*79~AGw+*m+EyseH7M*~^ zmoI7Xs&+12ly0hZ=K&AtiM*ssWvyA!zHB-}W2_wJ5M$B>cx^+24ooF94{X1njz$0d0x&`RfQ(D6>OLeV|$JVIv09XZpZx1=4u<;&fh#U9AFBqkQ+6F&< z9uze7n7fgg=o^@I4rDZRRYuLL(ifRXl8femQJ#t^?1MfTXvBfr2xu3N`F)vQGKh(b zi)&ny(FICUfpAw=aaZBJb=41w&mC{oWS$Ft^F~(YddbX}Q^k)sUwXIy6vku*j}DM_ zGz&(QI$jf%26M63d^|hEUnO9xpq6NY*6yJmTkTMwTGF7>1n6ZB3*HHtuwe}Ab4N+% z4_(IuBlGCw#INe=8N4DkXBCr+JAIlPxaT!dVPQ?6lD#tal8qd}FnF8%{k0LggJ_^a%pQk!MJ%|VLP{?^w4*<+c_I)gKU@!T6 z;37TOB8xkOjA%Gs&qT7x`~2>h0pUTa0x|xtDLtkmBV+r-ajeZ8HQqo$56+1N=wLTQ zw;wb_52FqxFqtj@tvCjNz3J5nS;QznrFVl+vg843H@db0wOUwqe|q2s1|=}>ra`OK z7f{}&`5LIqU!RzuC%^tONm>HsD!OGS7HJOcfByk6(j$#@&26tPkOa^(oWgAL=@Jwp z$W_@OI|HWPq*S%!(I$nn8Wmm}sJ&it<{JZP11M4CF3~oP9O{8~R6%GY&orzcCFl2v zW;HxUeozI%`%4pB@AjpO6(l5l;}nW@&glr;S}E+B@XFXJsXxKd3c!wd;q)`hFQ{)7 z8JLqIY-VlNhR%AYqK-(^oN<`*pS|HNQv9qWAcGOXU05AYigE~g|Ni}H)2n6wvj($XblHB0gyFB( z-y-O@+Ya;-olF_u9Eg*+_tc%*Ya!im1nwAU0sAhpv_X*%P0m+PzaLyw@uzuMd?;8A zHBgIpp)UVO3L&6po;`bp+PL7(0wcWY|3zmv+KaQ$iLuZ{w{=7uc-}|7;QdlB$syxw z(sLai5jMWu>N{a~S(C;+g7?KlfLy*rau$#Lx3WuSFE7YKJ!SjFv0XnIXo(*0tqo+L z;V5#?Z-)R(&Hw3ha)V>Dq6p%Sk-M0`Wc-3Be8LUH~bq! zvU*-d%;Th}=%+?lcUS&X>E7&Qn?2;r`;AwRjKsa*ADtf-gAKia{P9R%iQb&&M2)ZL zTn#+uDYdpKThK&04rB=}hy^gSNpQo?bpR2O2JAk8GxKaAC7oNBl#d|*dGL_Kdgf^g z*2q++Gs#q}J;xwpLX%Xmc{n(jbs{ICy*GG{p>hCFMea8hud8d`3xBmbN8f|hj#`rj1frRUoL%UOAJD^yx7YquzsZMdj-=Ih z#*{$l4#N#;DA8(YK-5O;MyLJ<~S&I1j*BO)7|d^iQqk@x^#+ zjeE_V2k={eh8E_;3-q7#V>jpyz>Lb4ik6Y^>2 ze5-h}gRFV&<seo!w40`Cg{%+zO^tDLGFB*;- z^IQj-%n~kXaRX*-0q(UyJ}R9eyTq-1SHk+6y_cIH2{9fx5G&t2ZJH0A~&p8^=}ewyTt^!u};OE#RhV6&ksa4LfscaXC{GUEYT zSp1Nxjcctv%b!r@8ot6>n_P6Gls?pOU~hQnLwXz>d}!kLM_D*$TJUrz1JzBp5Fsbt zoO2`hw51BiAHVNYl=)5@K2{<}+opnCn~tLBmM=Ldni?4trOcJ2QC58(Xyef+&b z)3;}+U1!*n1#Wi%8N%7v6)XM-mLPe8Q_JJ2zvCIlNRvHuC^8Sg1EFY;CoCQjEMqG+-IxPTm+QiX90d#Lyz}wiu5B+$4y^5qVEbF1?K9L0 zFX2YLqd16|yDuj5VywIOon}e0xzO5C5?zeMz{UYAj}~6>?ao~?x~L9<0wrO@$1A19 z0BTqGRsJ1r)TnXtPdS{LR`)H0wm?)ai8+Z$UWMswg*1t;TR3+NwU&bXQL~Qhq0Dp&J-v6Od zbb%DeAtOBnCUs03e>kNZp)Y!=S~tPq9g_Tuh^kFRHrr23w~7ejAtNJK>XHrNJq zMsgeDLw8NMK^ZXb%f1e@Bn9~|YT>=hjN}iQDFp4%6-;m;RgfcCGRA=T(J6Dw=l|5V z!#iwO4AoHpe2@_I__gBKK(Pb)w(YwHh0oLj@Nog{M|z5Y$Cm==uTp`V3Yy^#A-Dvq zunvIvMi$g7^l(#E9Ek9va5w`d*+JX|1+uu{3`X9`TeKVFI~5}`0KE%VcD-uKl8N9k zl_#vxE2@1#wyZD2Bqt;|Sf7V6PBZUtJ9VRZ-gz(P_8Q7qp(0yAsro>Z!uX$Q zcXyqTmhSE4z{r=tAox4W6WdQd+D3<2%R-v>T%7lRACA#|EQ4+zkJXbVE?cvTHh zq(LdS9d?P!+HdnXVCMGqAwAk!+S-g>qMa?7Do@`6uICW#+Wy6D3bT)g zh62QRpDXlkFYeyGi$orL6Uf7fXz2*F>OgLqPCv*Uz1Y}XM(kB@*k zV?YE4W60=x`})^7WXJ&Cf64y;sqM?-scyHoccTW;^OQSsd@chG6C(X2utQQ6z#C_g~ z;+7J2{4rSd&zgeN6+pBmY>meSPF{waRP;6;-f?U3qD3e+5&RYxC6DV*WjL&xKBRCb zsahQV6q@Q22``yq`s2{+0 zSP?%Jm~FEw&_7<8PGz{TY#X8~h+JdHa|r$xWK9UyLE*b2s~|UmbZUg0_%sh5^j)zI zKkW7;*BU>J7(s$*v@e(}?0R(~7iV>g$ZB3nOb4E!VLiD5zPPckwkngM(2BY~Cv=tp z*N^66M^qfEL*ylx84DTeYgrxwZ9V!YkfI0_$fW)>lO5B(aPv194r3A0^gfo(>x7JV zMol<+FLTBdfRG7v>Y_By~~3x*`8q}&b-O+*wL z&DcfvPG$}+o4o#BD0$v@hvbdT)Koive$JMj`afTDxzo%mR>^8W@c!AT-HBnoEK!bQ zsS1eEAO~a(CbTG$p+QOC311z5ruq-%+g8IZJFMj5d{?MMQy#<^ojQdtMi}7kefQxYW^7hd z%*?TPi*%A20cg%o=%v<1r;8D#tc|T)W1hAs&o4^j#E<|Z3$tBSayxP zc}%x$s?^~YlEuQhrtNC)#w}t`-VU1@KhX2LLUdk`aI(U7)0>t-dViAyqOgY0XR8HC zKdH`hN!$xYXAOx&XWz!@#OPc$d8-fQ1B{`m(;bFfsct|E&}8P0 zwyV7L?JfG7FW_T!(7?#dae>HmMiXq&a5}>iV}5x>PYxm#JFZlRJMU@479b3iu4?DUSJHEs~T=q!9O~!}`EA4e5yzTTf+ThtsOuoAIW74rP*4 zp!-`AK82!$Vv-YZWEPwELv(Hjejk$s2!U_sV!TJsMsHkFNyd~0cVCq6T=yr1{{!?h z>e$k#K3Hs?Px!GEi>be0kAP1$G!McJ)qhhxA43Q2*Cdk^zCYhG&PXe=8*E1UX5)3+ z@7$bEU*kTE8a)X%l2AcEs{@htf6`wM8u&HbEiv`4?7GF|tybrg4Ua#<1^`wXGM_Q! zdXoy?pAf{m1n}^~&q(>srts3?|Fz!Qq@j;%7B_bwlUKYsYc;2)`n^*WTXyM!MRwri z$tQ_Vzsw>0gj^kMGDMZgSq1(fiPtth*MdvUB)b+&ksMh1oqhDwZE)sL_f@X@MKK!! znYKw#vxy|mn8{eV3Aj`-+3=9pD>adOtPUwDkrcjEsz-D{0tz{tspKZ3uWx$8kIi1i zO1{1P#M4SK6Sai}F>8ix#6+&*Lsmd-SZ2aUcVFarP6v?^J8aQAh{amaIxy9)9*yCR zM4rd{HoD-B9?^eP)WP~6;?Y&$;mLFJo;!E0yP9>`rW5a(IZ!DkFE)+C(|gZd!Q{%_ zkPlV0?c>9Ln5>8X8v@%dKT0V(daF%_nD2~K9+}Q5U(iGQMR*TDsI^smM!f>rO<#iY?TNg02Nz^;P!u^ zC^>nE%N7k;jt~zj_;)yNUkplAU#XmqNhCK0- zW%;x{P!}W2XqxGw{`m6c%d@&bQSArNTa&yCB_hEjXq6Bmc7yHa1Lr0s+ngT(=Y9J$ z+dlgXhU8caZ_=Mr2#lG8_V-YgjB500*9TRA0`gLB*MP$R9?4k0!bgZuE|_+apS@e5*lJOBvH&TnTla7CPjN_siCZNsRNKDbyd@gkfRw#UC7hK3f}Wb}}) z4{e(nd<~WDaDi}0Vx9o9o?KV=ag3+}4DqKk`O3eAcMXqo#>PGS!J%z7iq&n^*2Ash4TwdcH~;w9kWNnrF0ZE%TfR-1PxS;}%t@q; z``G7w`)z(~mQx(5l3X--N74SP+Kxv9j)x{2B}F1clim(1oCxg|R3z!R6HjtUpB{iX$m&Un# zJIJqB#6(qx*{hY)Qv#R!83w`4t_rw**5iLd4U`5kZ#Qv5iSlV8?AhZkFYz(d6eWjo z5HT1#QK@xz)nz0x3t~hpldmTvKRT$3PW+vxb0?RXqx%ZsIkmyFI~5#bng4oeG-!V; zACTKoZJKiX7gt*l6`v@I0Ih z##GF%M?2#-Gw3gOU8|lGDeym_h5Dy3_o7b{3_#17c)LK+FvZVEAEBI-F9r~z081?QSL&}N{~!`!I3-52 zr!!`q#tOW{@gx{q`=hL9i+qG2dZPG^4&Zae_#r=LCBJ^4>+Z9cdva&3!1A&WRH}g^ zKX!JV(B(mX%}NPbS%at(PW!F#V+>c0sZuMe=haweDfFM#6?#FxtNbrKYCm!vmrc!@ zEdCjvLEhNKhfF^d@3HD#6KnD+ZyKl68fVmj(Hoy!oyVIf!a{^K`-#O0e)aEfq2m_a z78YCOXnA*w&-XKEJ=rId{y1VQy?oAeT=r(bYbSHDPE z%RrHYRdu6fnG}N8?)TlVZsIun-)W<7wq3p%S7?mWfJM-L*0ZB@2{Ln2bf$;{PY?&5 zN1V*z^8>~TLarldJ!(M3m$l=rZos4Y(dWOvfW1gmlnCr{4NM|9HYum*k1-66nc@yl z`N??w3h^9Dx<36Q%Ulyt!e&^mz^`{*gsiuW z*X*tUD|zu&KA+wh-rcD)q`m-~ARd=yUjavad^|CP7%`y6RBZwHCMYCS_&E4%rG?f8 zd}u+)h!(GFT)S%ldYqglCV7EuQB+?>f}P4wQ>RXzlijdc1T<&$qyeIMt%?VQloZ5Q1E zZUQ`UP5y9k;KRk!VS=G{p#cFx>#Eo;SJw_MRMm)ih(6P9Jilc8u~k4+^pXCU=LfV` z)lE%Juk~@ku-QyoG%VryukLjdUlzaE&R=R4bR;rzU%_2R>Bv9$3>Z~>oiU$3e0%^p@Zk79%76 zDQl~9npvUbG!wW)s7RtcU;Tx;YlP^PonxK-||4RYi#xci|#6p<74!S+4-jzH);A?|9!XLeY(Te zx5=U;%5z2ArAJTJhHIxq^yX!b>xjqdcyXns5maRgAoLsJ9>3^v< z6D7rT06$+B49s_qt~CyM1A0xmr#CE%vmASd0J53GwZ8wlg7T&nCaem+Gw1geNY%0} zQgfiMTO0bR?5Z=n4$V3>P*hy3ws-HP zFTWHV5`M{_1dWFSXV-` z7Y&rx(eU=Htq?C)qG=eZ93sJDKbo)f!EQv^`e*Mu!CHfpBWJQV*r)Y3?0P!3)X~yM z&?rg3C<#}_)dhp$2*PH_Gk5&VR7SbnBZxxJ+7SSE#3MSkU5bBRZi9lox9iYBkl#t7 z1{rHFSBF!}fzWTafMfjo#|nEr&^k8zhA4S`k;iPBO` zJM?k*z|@-MhX7p;fV9&(*5h5|gb1aM_)B(=RiK-xlZWqxx$H-q#nYI&Xb$`t z@%R%xWA36(NU3g_h|7p!vuyPh=*J?2T6!-a;!y4>KB*}=&XT9UhD}=fhS)y$V`{4e z6tkjkeeQVOJvXqJH|o~<+UHMV;j!j{K?Y>k+!LT{Qvo1$LSKNvXqX98)6X3L5E2d7 zb2uDYRu*aBS&Pbk2x+o8d<*;SYyyjCM-^x8oYfH($qo+j?l@T_d$mOAW^u}apas6% zZU(95e#C-7z3uq56>ppCpSQhhpssjnC%?O8Nvm&YA6}B~4?T(a#)AEicz5r7|GmVZ zSFGT7l>V@@@5bw<9(fzaLY!iYIXW^}AM%5P7l`6pCmm1ep~MmKlH(8}Xc@6>H^6!Z z+>6z$tK8O^b?+B^Nl8gD3Fhl--xDTe};mH0yWS04#NFP2vN8Ww6C~q>j__qQB zJEG$%f)EICB5mvX_{1pr!TKPxkmQ-#B}s?)J2?xMstxKqSP%Qz190$N5NLsy;GBGk z2*n%w*}t}n*7i&+f>mk}b@TMk{%nIpMzP2`xvt*Ya>cdK2$-Ca^)F;+#(Q)%DUA6yiJYyLq`8S-at~+aZSY8yo^eZ#0biU5ur`Dsdi2e3EfrH`6K$3%-${WSc_kL3t3;{LB zaGBIy+5v5Sk|U`lWn}}&QWfGfoCA6tCAO78o$>O{;FEnnHb#FfV4hUo^q#Z!xzmd_ zK$uYSkt|GCE6{njt;sfBSIT6@?^xhyk! zeNEViG|2hX_#4U@a6gpHtWyZ_N$^su%`DUXV?XD%(`$dV{qHiotPDOem89VH<^V>( zIwmu6K`5HX{To5kV(hYQ>6&qa)5+T=yCmn9j!Obhjn|KpYllYnYc-}1g^e5lhbaqG z1)BZ=Ic-sTu8?Jhpygvh%cp{S$9_vv;~(9|dN;{ScXvv=oHOnfH;!B;rq}=16mqjJ zJ3G8(oCJ){rz9Ti_2>f*kvUPFv*XV#CYcpDpON zEI1(k@b~xHj~V|_M)mU#J?086zvZBn+?Q6c-Cp`4jcS3QtsL#>9iw>Uht6=GdwG0`7hDR!hZ9;0hb@{Q^dV6{9#tN1$UJS{fMWjx zYYWRRE!v;H(Ms%ly-Yjga^zh|jVcJ^Ml<1?nzaHbm(r5sRrKBH0gra#O zFoM;m4hpj?$ShQ4_wMtPQ;N{Z_`PP?u4T7xXGRw}ebhDAx)x0<$`7hl7A$QD%Fcn` zn``frJT%L2?KK62`6-q9&KDJF7Oou z7xD-u4^eUJPg@IaS?R*H{#egl-j5+iL~3_FE=YgNR~il02Pwf9>)B0dUe563S{25z zrYP9~p{a-LH_(t~vIrupI`;7x-nX-XJMAp=?{hNHo^!HkX6UGCcO8{o7l|HdWjeB7 zRg2vt6>ygaHB=AXka$2lK6>)$hpgD~ZALqa1#5RcDaaQGSU_CgjkfY)X-Sj^ zE2hZoYOu?l_X+;aaJX(bW-uXW0hfLI+Ti~V+`mq5Ae?L@=?AgTiWo^IDgG1dU9zagCw!DC~6Ahvple#p=$=?yU8by<|L5GY_<&4 zuk58m0Z8MwO7h--ITvm){IvcMX`MNvR;TGg|A`*SMK`G^oB*SWl!|>B1^J!N9$Q7$ zNP8Q0`tImI3~5}n4B+1!o+&b(00fA5Mv!1wXw{;zDU&Xe>MQwP^iZA-*28~N{TH?ElNetNzC{%f)n1hTUe z=?LTVE7ATbt>DdM($<{72P%NwGNPqn>#Y2P%nE~#JB}xvNi#lUk{{5_)zLK8IFf4D{MvUhCxfwc?=J3@m~;}uBr>97x-1?T z9Yl6!7sdjqL-{r-W^HRb0W&EYhov>Z*fh@*cL8XfaD6pN0B(A18(B65cymS4q+6VvrL@KAe1D@+iT z^uK2;pcl-0+pD)}>%^2B6U(xF_R9l}rHkC^@%zlq`KY?C5#R;>GtKu&{b+;MH0rp% z^H<9&Pw#em82>}QUdEb_OA+UAs3oN3bkI3~Gm!pq7)GhpMmJ=l2!WR~0cHemyu)SW zHV>QpAOYnvA6u_Ipt9~k)n>X_!z*+Z{QKEzhNxRZraPn>pi^v<)g=VEZe)SP+O=!5 zezu43EMH#lcnOhIiXegN>S{8`UeAi_-tnNoN!?vla8e*nO%%bj@Qzt?=c3Q|RLA3h zOWKaG9rsF0*UZlG#9$3ne^sr&(W$nZJ!6vo#9=|>@IaSXyKaqI;zt4H^iyx6^5@uh zA|$)QG(0komQbvs4r8~(j1UELg z{srjx^e>BTB~YlPOz|XU}`u=&eOsM z39;m^g1P73E#%>uoW)|3*|vzLAQU*|`SMj_4BZ19Q-?q-ooqpV1=c(1XiIv^fb}1j zW$8wUoV+Wl`*^soPO)r(PRWAgYa(_0$7U{PCJe0ZjFgWou`o8S=)j^o|?5u4eZ^BjIQc*{JtK&Z+P} zEz~0N$ZEnYa)!8dQ2yNYo0U~*j0(^-8oY&Gnqh%-#jV#&KJ)SImX8EAuPUW)w5H)H zX9q)?$Q*5Q!VNOfBGZ;F?rsT+5HI^adfK9?5q{6-6 zfBOT=Q}1yrpKIw_H@nk(KPd8aoKtHSkH;z7R93s4>Ibc&iN!A>FZmDMF3ybdvG%fZ zvnGnRO?ICI4*pK^{|7o19=5U(@JPA#==S9~jmW;4ti-3`$;q7I#Z!!*=0-ZMGZZ@-h1bA;H=0WY9#xs zbM@_8sa1O~HEw|69b2tmOiic3eoQP-t=WDgYy@k*MM-|!Af|J5ff^75w|zOt{R&Vp z)nO5uV{jHz zQ&$(!{QHJkA?|yh{_vUI+%$J0H!LQ30EA)vEdk@$Whn*FrV>Z5Dv1S6=SR z+%Uvk;XdR?xX#G*KrW?rW7YP|s7Dn6RaY;q(OJJIS)pe7kAf&s?}xy*yWzzD0n(1% zTww%Cbe%2!>BUQ(yW{}GjGE`RU@~fj)TGC>| zsWf3W^homd2A0181IUA-G@yRu$f|XvY{{Bi;?J(j*Vc*bOZKXf*1Y==ryC`cugG|nTQ@cjw|0~jm?AVdGq|4)P+P}%G|rmJ9Irveb^4E8oRb}uC3~S zUj6%7r+HAeGDtpwA1=Qfg3V_)_4Anp%MA z#y-#|0+~Szlt-r9{T@}aIdzC>cF@6l2z2z<+`tUW2hlUPBnlwgSYc?eR#K*ej19|5 zuY|@zi^`5%Z8E&5uDvSt+wu#IMQ!#c070^u@h{-h?_2X2o&czlWi_$sMijB>+Gbbq z1uak9x#hL{^~b{F)0E+N&1SZxKHzAm1erEd)pGae9ne4kfi$jNAKMqdd%q#=XFW4M z?#jdzJ^On-7EPOe&MHXO1v91wjq|#bSlPq$G_!$QK|0wmlIyUEyK6W_A}l@cu^Urfldj&zN#*f+dVTcG*+3e{7I5Ww*)S|oxfupmzH(C03> zjfu&zk%fm(+qLB0z825PqnYWyK)$~D-g=pvJC7#CLhxAl!V!0L+VuDLPlpvD!`#Of z4bc}19<@F8(O7boiKOq1)oIKBN?z_)vcl+Nk2FX5lIY6V(bFSsJlYSH|A-9t_Ml64 z_n=u|mDfw2n*vYUQv?Hara`DXtF!a=v*y|lvoGwkfLE=e(oD`JD_Mo2)~*kpJ|a}F zvtj1ErOfPx4H5Y_eMhsGvJ{ySA8$6;kblXzK1eVPNFZ|985|AfE;IYmldXorA{@br zTf-`}isFz-d7}}%-ZcZmO=xT&n^~73VLOm!pd~K8k4mavKL#7FqJJ`^f&IQ;POkr` zP44$^du##(a~W4BSfst| zLX{1?2E1bS^H9K0+WSo&;cQ5nekH_g$YT{8FR8WVI%ib3p@l2Pc|oAS+)vnHg^f^{ z+iUdc_|fZ~OhO9+O#S;_NbuIpi(R*2N>YGNpO@92v;ru(<~~7THgE<6-7vT{ci!GD zFAssmN^l9<;Lsa-ih2UgcB8$|I)kLccf?l-1=iZVD3abe-cVV`weLNV#mMf4hL8AI z$fsM2%T0JzNai-KFW479yS>gzEN&iIBzTO~H4$Ue;Wd1Z%Xd5}Uh0|v{^43^I?}(N z2~xSTQ!+Z?*-JMYVCdZT*z69G^-+7w8g7NEn)(-sb)N~Fe)<3u^fzRN?@*00@dE6^ zTeoiu8bt_L1`1lH3R;F$KTmsanZj%d696h5QSP1$QG!0|QX2DPC9$)EgYhzOwCL(l zOZ1r8OgF=*veGWe8Z<=QoemD^NraS)8J31CcxAeIJ?CD&{pQMx3YY*))4fQ7pP1b* zbxHAJ(VDHsWA#FHy5ch3*L_OO{nk>F+?ZT2oT;o39{%;R-DDPuypQxdXN3q*9(UZE zM0Rj!2D$LEi#QhBX2qG5DFrfN)0NWFA)oY_H|y-v$mXOLc}`o!by(|?`?3Zb6J1oU zE#9c1rgqEcxP1C`aXEL7br-Uf#D;684_=qxed~q#GWGPg<2g^;_u>cc7r~9aa}Vc9 z#Uz@xiFJegR0+*}`?n7rI?tdP&uf}S+9jN^E7Y%q_MhHmo5gX@)As`gCRJhMIbz;o zH_hXu=03~?i$)7?rd3iWWAC<;cIPOIk9Z?lJ`TFy`J%~c3+gmt!6%;p)@3C#3-BdE~q;Ob7!aw|mFklEOG@%nL2;*Bz zP>%a2FOyuUlb6`s=yP>d?O-JZuj`*I!*$b4o6;Y(OmPQs^lS{Lj2sw&q(H#{=p!`LQ^h3z z_Y-{uFM*o98!|W87wp?+{O8REkhCzV69i$$T9ZJqRjQiW!0+oJniTqi-4_=eylJRC zr?me4>D9S6dtdeIE|6(?71UJtSd@kWqmCJPbG4!pKF39-DY3;SYhHXGEz>;vFx);+ z05u(X3us&pU5P@JjG4x!?NLg0H}Utg$;YdYeG<}s59I2{%W2$eq_Sc+f5k%yYmJJY ziP1b+y05+Lxczl!o~dYe?@a%Y>G=VYR~1AT!Rj2YhEo`T^Bc9%u#$DBHVDEFd3?_1 zP(H9*k4jm4kI9E)E?5t0gdBWrTzeHtays88tY$wy(Evr#C=_^JsDV{ zS!6G)b~&^(rAkMm>zhGA=vb(`=SEmKtV?=!1g4l`g`B)5Ua+2bz}!ADXYkX}POy{(joL`lcJ2Ro~qFpl3 z0v`T_hm~Z}PxKI&CvC+}#h%^GWo_}}`Y0Y_OCuI818AzwVjll=U{lL^9q{r&*aAUWhyHc*5}e74D|Fvb}Tdx#KbDf&Z!}$ ztut@*PhW%EX=TmddEd%dyU#C>+r4Tlt9t##J%2k3CZ6Pdd*>i$LZm{PjbnUV#a74o z9qS_w#1>t6u!R4rh@iEI{Oa2=`&FtHt{Lb!>&PX0c--kN@LO~B?gEz=p&im?wUz^E zr6YHHdsCj9_2oz~w$K0D;qxL)i1uL?v~@%z>lN*Y$Zq?TWdHN$WoE2q($N`9m+|ZG z+_{q-dEevIhmD%|tO`B7Uo|u|w5#DjJLbXce7PR;!qu~#thIeaGw<%aV>VGT7HS69 z#eJ|>ak@PJ#)G@YavpWfis8>`zG8sR#;f(>)e4^d%sq7QJ&hrFaBezZzBf83K(E%b+O7IvI@I1i zh)Q*f%VK^wA#7y5|9L?8UfDAjb0In8{A+Y@b#-uIOkfuL)XQ>c33h1tRMNo)IAl~- z{&iMiW_9&X%RfrxnG-z!y0Ur&%-6-SEPTyRuw$-l!Ozz>l9y;>IDjfX-^a(#zd1BC zlpQ%3v`GJ{>65jfckHUzb)Ku<>+NwBoP2nl?|%w@+IulECBvtn`RmKuYgHB4#`&w{ z7lokDz*smBcX|MhR&1uEe(BB1hkyK;)rtCbp#sf+sXx-%tev27s@5W{5Y?~mU#RiJ z!u-Ofy;v>G>zwud+TF7zv)1W7w>RiZH30x(tXaC<z%p=aDn_@kYYTSITkp zuf#-5pm)Pu)AsHv%_$c&wWAlgx({*}Irx3wx#EHm4}HstzC0%w)T-P@xv| z%%fxITNvEuujNd8*)WF2HRV&bwzeVm_@8?_-KCnO(Ak7sYir=fqt8YU8v#`Vw`DW4 z^U}??$De3RaIQY2?TeSEXyH=Gs>1E@e6U_v_;Z|Do*Z8Fw2MnYZLMUPxeJ(Kp(;O? zqks1SI8sU5{jmQSIvDjft3^L=GGvT5c)I zfFyf^epah)UUjv4Vq#)@aPo zF-Fc!&zZjz;|oxL92?j)`8n?SBiPXALBK)sW0ly!!9R0YeBr|X{3ks}bmpn<$$fXs z+2{YX0Y3{6h6G^q_`s&mVF<=s;X~@?eQq}>Oh@rdb(G!rSkuQbeR?NU8Ln%rbDt2g z#ia07X0#N>33Pu->yf|0k$)p%iEHH+-=G}N)C-^?o zu2Z+$jp)58A;58RnY86$bGoX@;?`j;;BBkxUaK4yD|NAL+Mz8TI;G zaDUA1OLMTFF1@_aZ@}XIy(HBrkL#Y4<9__0I!xQDa@?FDxBhzW`OL3jc+2_uy!Ybt zGC|O?jE;#}Lt`b_-&afl^c4^2p}5V{lL2119B$k9uV2dn6KrHr-4myolnCB=-2U4l zkVOgp+|4f;-AvQ&)#KFsa6jz(?Oj^l%_Dn5+;_j|=x8EOv^}5J{=KaT+i!!jv-8i< z(HOI`(8B!uO*I`puI?Z=L2j)HXUytI)&kN-ylfKgZ$u9F19TZOmbR!(emFicQ5_~X zjqJ?vw!{?AqTOQEji3hxSzT%xChbD#QdCl+4Ct{6>4-^U(ZIrTlI2X9GNs+V^l~>K z{Z^dN-PQ3SJ$Sq#;f_~`L%ya)^Hh8BlM|L0vK^-y?Tfeekj#gXw3UMtU-CmTdcQ3O zO`SV;E?FnR)SKUT-3!%v@++CcBa+|HppO--j!$|XJka$P2AG;qY_@fE#iC0V+;j!M zSp}C{+-F}Z77QJ+_9E;S$V!#iFzSfHRpi&z>1xEQBSEUcXNs-!Fc-e^s4tEKnrAXH zIDC@(Y?6ndq{0dcD99b+v{RzUMIAID^mX;ye-Tq0Q^}58`CG6RuZuz7wafD`%cLsZ zS{I?bAU9VY3sjCe=EUGqpi%0eD?kbs1sl>6;KYn97hdTX7IB$IkpsM15v%p&_=uV< zqBG4R0PS(I71`h4PaFs$vcf+~m-@~i!SO46T+{k|Vpx~tJk-rnexK&hbtLoYQ*&6; zQ7uYSfzhrC?g2|6>RU_RI#9m}y2XdqQWBC7%SZ5TF{R$O{mGLm_jkI_`K;f31NRw! z$vza)xPkZtvOxsd91|mtT$;l(ga&29DdA!Gji~781e1XUI@RT(_o0~U{*Vw)Vp}?W z!Me7R3WYv~E`*C;ItHhk1>&YFQh2LRzu`D4?*7Yx1op=I+n> zX=H*K5`ZP3wLJ4P8K%=Qz}RV8G)?ZswLl`Zfkie^bZ60B9Q=WDJPg8<4mY1Sxg&~W znnzv@JxMfpk%-E0ADg!Y1kN}>?(y(Y!tHnu6qz1$Ja74roV(r&LSR5H;XuDs5Ob=Y z7%A!_)Ua>eyO$sfWsbd*(+6yO>hl1p=;qG5vZ|DE)f1*}xoH2bQIEUT+}>`AX@$HX zI&S66-GoawG?^JD5Q&T5SQa%Gq^dJ=w<1;Zy+iW@qhwSByDIB+( zej6?EdUAHcb#=$4W%$CvbsEL__@laQ)28zL(o%^c*j}4VpE!nO+9jZ9mtgX~fDg#TGjVBSY;^I$fc2J7Gc$RWgST!5VbVG>Dr%{h;gY-? zE4DFt;dikuL)N+fu0X*@&;|^b{28lD(n%|<$1}Y}0Z)bx2pr42{QhhC;1 z<$QeBr`_C^A?!=k{Tv%x29!HvEnFkTkdWBbjnHJFB}g;dzhhMFJk~pGd&_{5dpl~r z4i7({;JDx|GU9x^U$Jzg1*4jMkdiDzKsUVy!Ru0@Zk`~wUWqXc=rEcQAi;gj6?FqJ zavg^)-t6ifJLJ&nqM=n?dWoHrlf=Qh+YN0} zFl$1djg|bh&a4XAH)4~4%m*@b_C_KD~ z4&ojS9QK1FBbw;-58m2lQI&5hmPzRc{F8_p$fOJq+tUxrQQy!2ExrKDWjF=Ru;4Q2 zh}N(q;I{b9VW3f8_)usSeh^b+V@F3%BPk4C?du$mG^BkH`F1Qe6q+&F(Gu8@5m>E1 zHg%FknRSiW324K_<3KOKF^!JE2dIb~+6sA2g&>A?!vb?tAYLf{`3W=0rYo5%GRx{S ztAQ$0oC!(R4HS&U1CK{WBJk9og!PNA;Sfl~>)(_0IBMWAk%shXFWMmRV=1Zslb{jL z>_Qqvhl^Ug#(JtaaIO=Rs^rN4(LM=h`O&Se|KcpopZ?q%K6QBIFU|M4eMZ#kBF7fI zMRj;XQyPGYfgoo;e7JV|b}d@e3>?U@kW`i^y%iG^qp@pou0OgFns0i0dv7p!ZuO20 zGOnzwta_qetyRkhBVoIYeOR$uBI^4gMN&szNyeOT`LaL)%eD!9aH2JanUnoBPk%UQUVFvFrjotl!h1?zth)|_-G*(rZRs|+J?c9o9hV{d~ z>m=Kd8|^=M5R`|Uhd^J^=*zFHtn?9l@n=T=m-Dh$r}OPam+dZb;NZ?5cjo7Ji3N+W zUmB`=LowJO0K1;T9~?NaK+3Y?UvqOgmvO})Vq#Q;LFjixgX$QS7T+Huy|w;knF!Z( zdebN#gR?*P;#Yn^0E|Td5c@uQIbJQcRUu zNAM6j{u(+F!qwXMDN_{>h@>@{@@})KF9-faX{mbBQF_vz^`xtu#=qrhaIdoV*}R+` z1({qVPd627e6V*exfh$x(L0!FAQwmj-O70kQqj zSs{-Y`K;sV*UzoUOzofU)W9SVQdp4bLzYXiGK=*@vd0W$W6%}Fgo_Wr7=^6ZuovR! z`Ezs>?>LfwVzrD+L;Gl6pV&7=q$~O4OpHtV(H>%pHn0Zux5x>dxZsqyA$c75sDL2^ zq(R2liF!$CfMnK{2SzZ9qVW$j7YI}cKDgM!RkNB*O>nmwpZvy!!CKA^nWz?V(qO4T z4&p5K{rmT+RD;&46LjNBJg%70GwMANaF{`5kw$_J%?u%%Gv5`mi8u>Mf7Si|;kEs@ z)`a7bI`O@=fCdPYCpwKj`XSe{H0r;P5$qRj>Yp0+-^UnnvQiirOF7rVD}DNLquYQC8Sqf^5uWf4 zfFs@b1vvqDAR`B{%}}TlXB1+xqgWym>+@k6*l0+K8ipCP`qT0{Bx%$8xPt7Nk&D6Da?ER<$)?Rl*b_UXr za54)-vi8hq0% z?NF&F$f993$l0l&hQi(a^~Kp(O#D3A%mcWgiVowf&5s`9U$P{I?3HMCF}N+rc&@nx z%eljs24{yxj_Z%D81qzeXR|!SQ|w59mo(1=k{=iZ-y{YiAs!vV(-f=XH8)c2LxeK) ztxB?4NQN3zcPzU0cDbMjwvb@MUD;gZ`asB1GDRuP5z$S5gkeq(Ft%!)nAnl<@Nkz; zk2Dg3>2s*%VnB=^`L^L(SnE&{0)9AXE!*{0^c?c|gk&q$Mqn9R{_|^w&!wsX9b@?W3+;g6c7cU+EE+fZMWe%NA9nq=%8#m;B}W z`KUJMhN&p&>Oae+~G9k-;XSl=*_cs>KZgP`S9#Mwf3%%Y+Y-)KO<+*r>>B37( zOUbtfO1N<3Xm#R=D8VUf$J+W6>n8i%R0j9dNp$OM;M?OBz$CW98V9j14i6obB?L9r zJbjjv1BZr(AWvvQgqmgvx0RK4S9eUJ6kMLHFOwhq-w-cP#d;z$VWHf-fdTasnC3YZ zy{6UI-mb!5m=;4xNX>C6q@y|V{>&NEr{DS3Hgfs$<;TvK84T(7Pf6r9BL-z7vE1`0udbz7tv41O0vN)CJK>Fc+( zv_v4cpt(el=Dx>cBFZW(E&Turr&^}H2_l>bJVJ>!p*#UtHx^H!h<0*hoLcMy^a7BM zG?<3K_Ob|tD5|_)V@-b&fzmaqTcP+3ym8|O)=Mo>58Nh{Uafd7)DINSGirY$x5nvQ zjr}Fqu>9N#45M%z?p+&SEn;9`fL>x=R4GcoDzIv?H{?)!X}}@@I#}0{6)PEx8=DAG z>}{o!l*}}azrFg;D0F%lP)FCGfF@{#_?tM!#Cx7*XVVBfIzVY+I`LpqOiRRSJWzW= zS4QET#@qtGRT+3TSn8ffVU!fygz6RHSrWiyrNNI!6d23@SSS)1nZ-6-f&<(C;QgHm z*k4rn;hC{$$Vw~4dv4l1m2vo^Hfo|?K7fOJL1= zgn8a!xFpFIOVLw+`~oJ5^=Int;&q9#ft6>m=_y3If>fofJ__rS<@zHIkVe1M2V^a{ z%p-{2szG8VL{FppiK(j|6FmlkEIi<CtJPE zED4p-#S&B@YSRb?78@9BZQ~}+6e}<%yDK8RY2*va4cQS?RauUfsOy@Z96dOW;xeAhD&bEIPWv^|(s~4nz~?Oq z2We}q(2JTxAT><1Rn?%n4gju*pSBo8(dW97w$h!=K;J$2fd9uJ%W(zqn%*fo4qd2A z4)5D{nWo_(7AI&u+5Nu6G7Y&UGEotb)D37PBf^{Yr)6TsmqE#yLX4sm4vMJZ>IVFhERB;n{dM=i0Mlr=G9!9}#FfBJ+z55OY^XC^H_nahD8 zCn7C9e(udI#xBFXbiMZ=che(|0PM>jpk;4?Kn5W1Fv4dlrVvmj%dUE;w3ysHfjZJ$ zR@|LP95gxK-YqlLMFvd)8n5vXhfExH9+_XELKxn4d;-&zh&M{92iga?;(wy#2ke5j z{{BP&MQaca-j}F0WZ>e^35+4KE@~?}0x{hlN7&f8H?WW~d?(tEjzi+T?I(8w{Uh86 zZK0AZfSP1&fa5mpkR2WXdpbltcVwNN$U1mW>LE}=b-*Hp{&(@&u{`EUe2YM)t*ukf zY5{@f^dI&@F-l1Ik!a1`bezGs%5{)P`?E-PZJV8V~)ZR>BjsgyZo0{dG4=%t${+iyKhwUZYVNKu2edn zyY+fgc&ozm{G*#%SRAxFvt_m|g0t<>d z#mJZx=zsck9^-;N!Rc4%jigs-y3;Sh^Vhl`p1t(Vt8-;%uavy1aG&(-rC8^%=gwY9 zCwl+?yy@lt|4sitxu&5vINf%wABc&yw6zJ$^QAlrt~JUJjgD@aZV9^=EweaUzLQC_ zkk>?A_niHy$wGeyX{E~+|AKjZdx*%ff6Mdr6IEssLL#El?ce4@-wgv#Dk@!f^x31M z1fAE_L>m8g#5ynLHF@-%c=hcqm#@qX=G~l_n23_OZPXrR(`(n)+e^k{NhKS@Nz2I@ zUQ)uVUToR%qImR?y83UvoFz^E9`j`FN|zD0jgHrMzJ54b=Q3rF_J8~KlSZ+nOf2_O ziJj+yYx{F{n*lAyqh<9`OP-wSWBz#lmvm_KyWCv1f4{QYBA#it%qDssm*=q3(bd#Y zAR#gBR6ORw#9`E~`|oFZ5GBuY$<*H7p4;)>tft4_%&ptE*`GIG{m88LAWOZlvt_D! z|6j)JG=DX>UhR38o#o)R8U2~o2*I^_BDbAUM~lJS*S`zRPqNLe#wwzlXguTKlAq*g zSK2AD>5^T%`6wvqaoBCQy_raFKfk^L(>|gE*FQfn`0eNJ%gEsFjJdMP#&Xk(h$MEz z@@(`-(B!%9SSl(hb*a6Wt%D1fQ&v_^YWvDLplOGPyx3PS*SL%NwoKHI=Fpq>aJ@or zO6+$D46NkkZ~2KFzU~q}2wIzJ+Sr{6nX={`taRlW_c&n5H|{dpU7f&4mlhZAWPz}U z2k*41`ynhWn$xrw3v(YXi;;z8=9h-mg&VZAuf4s!?Y4JW)C+ix2lhWV22=JGnmoJO_4P}(erZGtIfl=s5wtrZMU@s`<1bHm#u$m`wKbGF3-*G z3psFaFAmjh&i6S_he|jdt~DJk!8^|s4Ol8t%F6u40R| z%Kse@8wtS^@`MNPyw*UPu2U@xSxyr!iCL>`lSib>pvGjp$~{fcYNFO>b7?rTxmmKd zws!7U7A1#q=O#@etiph{D+>yC{WiXu@TkIGpVkh9%T0Rv3$G4Vs%gSn>|4k778fnr zjX1c>e+f?5FeQQ;qZbs6^Y%W!T(*Fgl9IYR(#3|W?Y{LCHkE{l z31ePfo~B&~*Wy^^K}k~-j}-hcPS-}4 zh-Yn#r%?UTpuLZ2-I2mQ-Ye)NA2E#=!n)-!cGedkxOG;k8F5vKdd8E{s z)8`Ysx2A0ieN&-prMB5XcE{6aS~FG$<0r=w@Jj*y{x{g!KNxkytaXdw$FJ`*C>2|3 z5fTzMx3_0@dwkj%jNvjbIb3f`SIfVB#m{Sc`nfMIdF^Y=OL8vmb!<*^$$q&*78QGc zV~v%S92~fRJa%32+$%fR+}1WV=DPA()axSLfZ4Ci7Q;xb#$Q<)N3+w@(`=R_yl^SO zqn2s#0>Q)8I^OtB>;Zmm@sq*O=O0ft=aNKvtusch{@aznmQJRJX?qL`G`61mFwrzM7oWN0%?MuWxL4_H8*Vk6>B1 zCbaBr%=V?p)4&g%50;9fxnEF(hK6d|G!V-q3SVcW@eqVH_Y9W)$gJ1$fgYEfecDlL z=j3?hWOp&Y3$@#qcwGO1URsWCd$1$8npPh-ZZ4ET+4=QMINgH`Sara2-; z?PMfqO{Wp_mz{BZRQ&e-_Y4|QtMCi#@H}0%7m=jg8AQ%eGMnJah(-%f&8|yB5{3uf z4Y8_}@Jv%v=H&RO1-8~|)mNpoD?UCx3>6`L^UtT7Lo3!>ncTMepN%*Szkt28@wX!& zAYfvxiDovKXN-47aJRPhfy?Gx%|cFfXVg7|-G3Q5PD_OYCcUXx^Yinl@Q8?>az`uJ zb3(`Kk=1N=e`PEy)*dCeZx3PXxKVK!G~&YJK3QwN8NvqZk1m}iP`RsOOc$M+z6XoWy0lPXN8CAir+okX-UuFln`OF!~I0B1R+-nA=mBA z@v(g45DYSSj@*LOA=U1C>oXU1k;)g|H3iR$4P~&uIqy5X#0_~PDA8lT#pLJLP`y0W zpqC53o;t-jjyX4Zj%RC?Q$X(F#KyrndO;o1WYYgFBJ{%t{arWVIyT&?sSpuv6!LDo zhAhUeqXt|;J0o^!m0!AMIU3(xH;?Kt!eo=V9oAFfY&VtQy1aHWO2q-07L!dIY9;oP zyvR`j1{n@1niIE<4Qi%7su72^LSdq!pnwyS^v{x&sss3+APAV7Xmn@Eu($ zFJCTe^A8B%n<4S}*5}8^Av}Q3eoX zY3@M~34P6-o!qdS^nPY*4Xc(rEU69f!;V3oGYa>|*C#2yHn6uSbUgM9eKr!DCb2Nt z{&vQ@_L^4$D!Qoaw%H>={5#S4FFE|YJz6RGcy7+*CIdrSZ7JrZE1Zgoib02mhuBLH z$dLqugtjAlbab{xKfNGl)mv6>seJ$beRsW$6=T&&P$rt)M;cw~4L6Xu=>d5pxu9UP zq`z26Nol?>tqaRfFfo8u%vX7?(5mkXp7lQMza}I<3|eqQ)hgNSm0okHbX#v>I9@nZ zx3Rg`_K{^O#yp#rj;?mxGEa54j^_9WBLCREo2J%IZqd{C6ur>!I9!uJ zk+5pZ$jM!S=b3Gt&^2oSNh4D=?+t8{a9c$mbU3%?5&$XO!pMkb)$SyYW!e1g%wOw<_WX{^ zGTPeIJR{baI&Nzh0EZYKQYE>GipO^NLJ0vV)*izZ2u0DR=OJnQx<@bt7aceEM<~{b z$lU@6OWYiR*t3S5rlg?oqxZA4>2T4KTK{G1A;ZW#&l3;flS8{>Sccy3hSGpzYr2!g zm@)}P%zrV*aGE}-_BfJr$y%vCNmyOA&My5MgT2(`p>w#uBbF%a?jIbyHI8OtnkrwZ zG5|p4?c?**sZz^f$PiM}QFb~clKyDux+Jfb|BW&CfA?-1U+DO6tQ8d4P1Y-p>}fIi zF>!H=A|6F%KfgYiD5{%4CBYU5T0Uv#=*rb^z*fo8?l?X=7y{f^=ZhyWzgJpXO6F_R zJBxAnWmZvbK7r6pQ8vFn7F!DW%drfi@# zZ=Z;WD5QKP;J4iLM-9t~KQ&%ZHc1(EsCwq@Rdy%m@jZ7jp#~#mMbmw&|7WIJ7+R}r zcg2n$kg{&WTViJIil_k{&v?LE+11DUeR7xq@7@_5AMO>H54`iEcJcqnqVXXvt{rma z+u@~b>*e*CwxKF_0mudMp0Zx!bkIuZ)%mWC*md3WJa&WH{5X(=Wp~B%r0t7rEQ;55 zy4jTGrhq_fYHI3K(a#LPDk>RUB?HGf;|xPXLr#L!#~XzO>(!>vY1xRf_+F;xFP+bmti~ zaR`fWbCcu`x&7Z~5KVCN5u44VIJf19YVzpR+WYu;E!st+=g(0hC)XRBnhe;ZRdaP; zi=02{%_}n4I-V6dS!1o*F^3ulX$x}kiH*m+_>1cPynWBg!QXjJd|}#~5V**yK)$Mj zAaZK;h{c#mjeSZqm}$oWxY@P6nEe zRq(;ipN1?y0hLpD#vS^s4yX+NdSsb8)d?+O3>)=C@>eM+S~2kj|A?%VEo9%kb0+{^ zL6+Fn1SoN*Pk4vpNt)bs%jzSC#t@n=SaBp~h6MCy{U?tK&T=r5tJ0NSETckX1an<>I_tI=c&TPy&bt3kOGF z#vNU?s}Fr^G`pdc&o<=I)uWy9M2GTRT>@%qxk$7Y0;%q9_8zzif02oPASLzI^IlH= ze1}NvLP9Xn1&>#sKGF5|_8wMlRBzT?qERjpdihTob#iw$QpbbOSI>I&k0`&xqSJ`{ z!mlihxv@%td-v{Hj8*J;&%Rt7Bq$%1b8_N^;`KMbOE@Jnv;Cw5&}U2*%@OIqT$n&A#ZxnKNVg%8mqYc%yM#;mWeUk&j*^g^O9*0L;s(z4_= z^fc6-hc*u$JaB>n*CjSH+Xx_fe!N-)nxVfro<~d$EpO-z6FC{<=3jO-_Q{KMe0msI0xi&?#;2vBe7|Sf&OY!FuoX+OXNQ*@ zw4Ej{ynXw2?q@ntASvtL^t1&1)ju_xb3K@h_+!Q69s*FW^`I-)beaDQeRfzvLT9ZH zj_GI_m*a@dCFtr7A&T_i^#CxfJGcfE@{MHQQSsFR%7Bb;`2>0#loOOja!!-0M+ZBz zfDIcKw$>r7UWE-MC)cSavO*LP7&yi1xralDpM-_LoT{^RK|d3N`G`(uF5 zY(O9oC2VXB=$sZ@i$OLDPLo%9WNzC-#?v!1J=LBkL}RmEp2r+;KO-IoOYqd!Ag>(+ zX&Xa(X7K07YfaCitM8)fa!&C&0$~dY9e0-@ z3b`Pq$fZCC0i=vWU@>&r2=r*=8Fy2f80kropaeRq5jJ8l+yyy+a^!_j9UaLYK781u z<=UJ2_z@(N!$NM0!S0gzFR|}5UbsOiYJ5*C76g1%ol!n{q4@wew7Iq;CkL=Jy(hn+ zS$VexPiezD$0san@_1n(er~06c7t4AXe%56-h)dHDbSuZLX~?_@M8EEFekgFC!W-O zSsFZ;Y>$E|UXJ8JTR$*2T3#F)6=edizsbipM0QW#JI~{2zfU_dg()+!8EQ7X{BKvH z6&cXTdC(+KKymWw$<-4>76{M-H-I4vnFPVTf{=R5`2T2ph_m|9;-H;EsI)A!E?|p7yLWe{O6{ z>3KLs6AW98TqUFbt44A58ssAiLqkL3!xNLP1ffQj;t_oWG(*=99QPaOM|q|oa`~6+ z2nj-oILLkV;#OEM0NebnJl3izT3&c>I#n!^RoQiWF&VOx;Qm~S;AXejYqW&8_^q!d z{^dZjD!+w2iQElD?js;HVB=2>87BfG@-OI%8S(<2Q-)gcPHkPCTB$9)RrL|Kv$M0f zghXG)Gu8x;{dtZtv!w^ng7Ee0J_>8`ZqVloArA1DykUC!0g|tNW;|O7&-lFqaYW;J zxOPYkBm%}~s7C|@p{PB;!q)up3_{f8HZ{%h+@Mop}vLP_BUb#J1)-9aNORsELU`|3~A;>{Ezy z_WUOV-1`3zJFkkV^$J-4NkcYVFFZ=_T#F%gLFz8GQ69hyNA@Tw@cl+wQqn7Ez<{IK z3eJU3(qwZJrh&>d35dt2=hMSuYCFG%B!f4BjO8mqIfi7pd;^WgpArwg16fMW{`|7n zMZ8ZCqO%nqq4yQIFAKxd2^#Z;XJSjs=eC<$T`b7K(KkMJqgSkJn!W5cKh_bR!6Q7( zZ4&j}HHFL4>`UR!ZLVD%MjVikk!Z4C9w85Gu+2_*+w7cXanT_W(Su zx-eaNB9FDxP4`Q-jh9E(K+s#wYxZWQ-j5o6oLJiz7M+E8Tmw?+#rnD-At7nNmf6pB zzYau~`2#n3@vC}h;+_BX=A3nGgZakzZIP_T{okGf%B4>0Q=5qMzRJp?KRP2~WBF<6 z>FmvnflID9S;s%BZjQelewMc*NKfwr5Ua1$&KTkGot&IreT(=f^S>7Q22vHx`tKq< zBeW|nlU$&&uQxj>}Wm&Wr=Ftwz8JRXTOat+Es8H?8%`;^`BaWsw;+`HDBZe!*Zno2Y zzSrlrY>dfECqCo&E_M;_AXeSGGg|Xz^J-Fs1T@xGv)|j$brx4@t;BA9MfTgmygck= z0s@TU;SPjf1!~Z*Z@yliy(Claj@UwkO7we;2(^xG&PK65GW^O9@iJp1a_XWOT_Puf z`9>X+2vU!1Y=PU+Y3U+e=wbZtO(? z&pi%gOp-KF=(r^0!^e-0ygQoevz;LyT-d5L>zCE^ z4-qLu>pLA0qHfD41T{@zSwE#)*8nkDvhXt(`$KWLt|f;JfZ`Zzsd9HhxsR4{RlJm> z0}A$domOwy{cXpx=c8MvJQJUrvG$8a3oDYnh!jBVVlv3%`1Ov3h3f>&c*7uY_8 zYXUNt-RvhL1((^iIl_n2*Ukj?Z>7+JBFq(l9wJ*iI}HD#1F~>+sl?xM53*t$wIhB8 zZ?5b5opYGh*fXtXOvP*cM^G3C zwr8orb3?;C-I{aS&NIZ><;(nIZX2?2Z2|ae>}8J$ST*C?-j^9-&puV1GQsyW)o50V zU!PO&3&8UFEFHO?CUO)2%N&bHkSrQSe;mp&wZ8dNeWu>rNG&Oef?AAlh}qC3OuZ91 zSj*SfpHkksI``iF>`1J?@?e1PDH z%E&ImX4G-!xOXo!T`7$nGRJ>1kMqgV&ip_Q4NB>Y3@sN|1iaHd>pwp>wl(20Z#luH zgi6r_rR(su8-U_nw<_$}Xg0}!)n2w%v0)1I@22v5Od(p`gmrEsy_r#ZTT;kXO1zHH z+EaNuYI(9S69srBhR13de+g3Uh9gCQBgz^8)~(TH&gd#^dcII)SyN?Roxmub19q6#O z##yI z3!3INJIy=kB$Y&|_?q zj?8yDuhv}JYtuQNtkzOcxNm0mZ-q%29?;!*sHPDA$9n&O>@pn4)?%RgmO!PQ=UCxT zLK^rtw9V={hgh8nK3Y}!m8bGjQnfR-(3fi@lO93IvS0YMlsW*SEictO zsc)L8W*oR#GR$-}2ssJe+&<#@EmxS7ub5nQ?1LS1#F(R^9w|j?$YVmf@CbEM8!wQ zsPlLO90@asHVjz+g!{FD>f;F5s|U|sf*&dLPXurr;dhi&fpjOwdunxchW4RY|7Ywx zjn*A)E2^c}DI9mZ983;@5S{POc&3~13UM-t$g5;)J_Z8ps5qnphX$CAFb4U*RR_x{ z1qIZWjVZhY9iQZTjcN}edBL^w zATk^mMWu-KQ<{7&)BGXF%USi)t-x=zF`EcCxEd6%l7;MYPFbaI^kK=5qxz*pMKOT; zn4X;_A|@uDvlTx#ImojCj2As9Z}Pf<1fe)FdSnPu!!zcDnb;)(Ff4;29M=97U#0c% zAqA>ph=bB^pa0yy!S3A%iAA?^k@J{D@VNeh_aMb#>Gx~&%9}6HOmLb=iGO41cu5r6 zs;sKo3=FNKw(AlXbUdUC{LYyM!tv&1UkN^0qix&slGk`R?@r{rz=85Q2!H}1)o@6d zFWWoQ%|@I$!J7FTfbK%5T@n^`@BZi3c71fmgP;7b%A&9FeFmT?ICLlR(GyFMboQD= zj%$Xks;|#|7w@Dz^_hj*S^UaWOHE6|yh`)$=I>=OJM4#@?*p)1bLFGiFQoO6|9B(b zN#h>EMA!fE4(M<6VO*G{Wr+<#oGeI*gTJZDi^>;g>JGO!xg|IK1oTNLG&1b~9ke z;x9s(fyo6aHW=A*x7f~*z+E*}RWby9)%oGif(~U2n(pH7!a%FO2T%$A{JTiMDd(X7 zL?T%kbDrMl%kt%&ohV>L5tpSym3f6Y`h~9C zrMcY;ej$W>10xfrX1t{JlT-g7*42#uR!DpxI^nNWY+M1!l%DAwuWIZIWAQq|i(fuo zC=(AIr%!8dujUcopN&pSO|=GDrw1rD)U(@!ah!dRk(&AgurK`RHZ3g%s<^9OqP(`- z^1Wg|OJ~7B9p8Px%fL4|RgR%l=m{$j9hHub5Cwc5vuf@uSou7o4hpxbb=oDPFwq5G z9xp}d9^|*TGPE8AG__CS3h>F{0H81!t8hjhw6ObrcaDw-)R#|L@(upXEo-5SV`a$MW8~$)hXXjra zHIeVz02M%~>npa>0e8#wxepJ|NuBL4LJ)bbT;~^8SEsmig-RDN1G9R8KcK}EzQS5T zdue+cn-5_z>euAZx<*8tfm_|ozv_Zz->N0PFnIjMi%ZP`Dq|F zr}Bxsy?uep;OF0GR?fX(NCHUSx>^O2<`pX5`|xp4wvY7|s;?RB^lp zrZ^e`0#P%wy8tVWyAwWq01XBk2v!Ui61s@9K$_+RW6L3}APY;!$t*}Xf9(0?U8=7J ziYi7$rYf)o=xN6^m6(z&)MP49U*(hI*g*$mb#MRqzCH{+5qx;SMKTNCI~dM^2W`(Pp!Kci>y=IWlT-)fLFp8F4Yb2?(xAxpi_ZphNeawLD7S`v_Q-DD>(Dz zY?={;nk^^`8PX{hf|v?hOM%vZ1@c*3TpUpXjpf!8hFa-(N&Gt#B0K&Pzd3JdrGDdx zy&+sL;pQKrVnZBK>TX?9AXq|kx9Gi!g`uaOGpn12hcL3NY?@RtXb5vpnIzHk ztTnF+JOsuM$tau11B43K0e`nNH}g*LT?rI5EAitG)&56?H+g4*8c&uqwC}q{l4yA3 z#U~@6qu@*e%_WF}>+V%~F*ItQ z0olT7NKSh-ID z9g}GTNo#BC;Xw&x*co8HFXg(Ve><%M ztbvDiT<3yUma|HN8f9?585k1*S0A$Y0dopsV>Y?~_%kLh_vVRidX(z#+-L8F2aHZ?qvZ zK+Vw)@f+ZlICs@_qvuAeSY3(;-X}rt3`Z#2pSQ*fPw6t4-V;fAi@x_KY6&L%t8RE;2QuKOs~#-fnMTK&x~uF2A8&i zxJQaxWPsM*3`9F4>jw3SG`+BJ0^pf$aC3l+L-IEjEP*@O^9X1ulS5>t5Svr`3{ss9@uqhnA06zQphsR>t*RTH9_qY*SclP11 zCm-jStQR9|G9&}ibUC++&%>iat|%4fW&Ds*5517{WNla=tVJ9sWhU=6u+o|m@TPOR z7=mH5`2y|j+rELURZ;Lwh5}Lsi~@rd&iNv_NKCqsX109Kzn$S`Qi0{At~a*+gIY^C zQVSX=H1i%>33@?(O?Ua^2*R#4tM$RbL2SJW=yZOw%XTuI;*HW9(H%x$q85W3M+VX< zN-ix79B;7^d?o+6l;63(6mOfLB z1G#^FeY)F~J@l_mH)`r{YhJ1X%h4DF?hivQ9V~lk?$fQUsp&S-y(<~pRjpp35=@G9 z#rXR-{zF0KBS_w`fQSz0`%SvLhY5Hm@o$A7(jh`ovE}HiM8C!p_S3t5Q0!MYT)IDT)-f7SobrQ$4aj6i!7J2 z*0=L#NK0pTrh69_^BnX&Az2jFFBeo!zO9kdldwxMABHa{=}3`3`^7~6pz9zkBDSRFBNcsR1KR`QI1X@F+)6ltf=g#^s?y!OSvuiMiGZ}z6#TMOcP@e%;&q)8 z(YyeNl{qZ6{tp%eV^E)iFUQLL%LClZ$xVyFFs8t z&GG6bcxz0pgl4|8U|Sb>xjYh$Q0YVY#vG=-x86NBT>JM$vP#x&Ba+)ke28mNYuduy z@kdQT{6vY{%((5=@@OmqltFU`{HEx9hIczL0vl?<{D^oEqWNFm1+SEFIgUkU$9Fr^ z?;PDT0m^(jD>w}^OgipI;9*Du4D%ZOIJMW*A>3bC!#A0lg@A7d#C029DwO!JyJq+w zZ0m=R{u6&2qOM)L_C6+t;*XhlC;n*N ze`$GmB9S(yd&WPG^fVUfX2I)%P|7v)_Pv6Q9Ss5hgz!}mQ^-o?4mI*Ouxo;8RRwt5 zDjY$U>bO5hb=+!Ti(+bqO3s{SK>|LBs^figaJ&UIJhxWr)6e=tUH>SEOcV)`d-~_W zH}%vA%l@(LITn2(&A7RGHe3)TO##LOUn%+dzYTE-DcPVQ)1b0V6&@^ETfJiXptLua z5;9orDFOmH0bIxK)g$){8I-Zth-O!TU2TL2|H}1z`VHcDhQ}`u5gxueXb>`CTWX?I z*YJnm5SCHS09eWYTqZ7msj(i1t`` zP*Ukk0G1JamnIjzeo754&fqocr$>q?FoGIxuZ+|Dc`JU`@2qWDDX^bcM8!0e1^oQB zL>Dpn={%`X*lTd|fxHZIZmQxLXL~5;x!;$_7A?cvV!ygo^&SLL+nSb_F-{&YZVA_k zL$(A%iD!~DVfwYR$5X8Yo2C@HY1FQhBQH+xb&PDu>Dnig_tp-}7{AApK)(?U_6h)+ zuhG)~^C@wdKtyvP#x0bU6`rx2`eif=E_%H@l~~QmM(dX8Llw|PoWNuO1}iLkHM)q# z(gar8B0ckuD?wI>M0-VvzXv$bNx1g2N1Jm_+VEGgejUkr_n%=QtQ)_n^B6tEV8 zK&AZr_LS*Ie}FRjEKS(eKWASnu09F|>K!q9uyb(iJ$EG2S;G1J%$6Kesm&jM?LwJM zXwo!??hJvz_#%#>qn@+Oz1R-K$AP$QfU~(&@*uPoiNgMmMZX9_TXhT7OaFb#Amg`Z z6gl3#35m%7n5%X<9K*5KSId6d+o+8y{u4JjEWiA!4F`vV$}L|c94IpsuyBZn9BDS8 zfx2StLpK|O2ml(l!?^E~gti(Ksv}e;;xPv)$ZdDR4@^ff4bfLfjQNp0gcmIJ^?G&^ zx<72-k{!PHYJZgi_UMeX0d!X|Q(+Bx100WvEO$;v%#`V%B+Yil&ySRHAlw?Xwe5)_ ziCaSs+%tnEpDgc04zM&>V%dMDo9$XYhqGc4tgG|Hnd-5O%rqFw3;>d=Cu@DQ88UgXmx&>?JxD^njhjoB!kjr2!0RM zthcx6TuA*vRp6VWBV>f0L?(_m6rsMrJ`)=hM|C?p;O_@@L(TE8-jZ3nXwsy935$wi zp*SkzJ?l{LT-bo0j*ya)@=vSy8)S1{jXo-}j4;&0yF zeuD@(amE0d5M4wjo<9O409_8sAWOye&n=zzBX293sy8}2eY2y^v3&d7oEn+gLj0x4 zVt%~r) zlHCefgAkJ6YD^F~-Z^l*0m%tGEB|Y>(k87CxaX z_AVHn+IPSwNGbkNSfn1bEkD~d3P(gq!C2`QXn$Sg%}X> z3?v|{p3^Fl{QMu|fY;mChZu60R5Eq9{`FrYKC0k~X?WiK#W!~OvE1)|YrW$0xeB3o zZ?#&o-6#ygNH?Uq%bmY#qS|%$jvmY>AwJ?)zyt5qxqztgvm8x|dv@g<3W|!gh^3** zjSsy0(?ItUzw^^@F9@>h78Qw?dmhX=ky> zQh=D(pmk`0DL4dl0%3yOLAnwH3`k`VPke4wypK;u9pcwS?HYs({{#i$LgUi_A>WQr zs_lQ*Sr+i>{`@z8asyBWSejSizaoKrxLD!>tr1S(z=9#D_K52}g6Y|Jo2f@9tqUmN zpi&s|v!+H0zD<1bNcGJLRKA#x71QWsLNTQ$F2-mbJs56a08cQO&tW}I?msU9hJQ%N zj^7rLL?+36>5A97y_z|?1nbOmDjPw7lZM2AtTR}>X!-eLL{9d)P=fz&dfW3?iLZgq z?vD%&tpTO235=6>7#Y7>XBvGi7JT1SYC^C;`}3Q&ZRiF|tEIKghrqxvO|nP#E(Nk! z@KOvG&kQxUw(0}73t}e@qS)eN!#xqySk4>QvAySQRBUmi}^Bcw9e%XVR~(WZR# z{@yt&fKLV46Q2w-W9!*;US(Vh)nSjmL0>B^1;?i!HCiILq|sNbPe7`37Oh288N~ z`~TJ07;xw0(umUf=Btku5>TQ49szOZ(J{4#3=$!uKI`l2C=-$?BM`PJBwTa9)ybx| z=4vE8jf+*WnbG+^!!OG$i9fO6o@_B*6~8vs)CX4pnN8Zv%a`3jBgz$ zf(c71LnrmF0+`}ZC7NhzmpNK$r#~3m%cIgD{|5&LMtAdt1QK5Be2C_J;@}ktRB(PcvIm^9#D)%XRwf zs}#3Ej@pGD3yh@ZNo_rNvkuHoV*|T-%^>v7$zG`6C^nQjo#4Ck$jp8 zc0i1;PcukZt9I!Sb2m7ysF;0siZ!B(ZU$Y!LZj1XQeVbt41WpGL_vGS+-{wFV^q{A zypeT&cSa?E5(K^O=2^C5GwuYv4f>9C%7*%SYp}xG!FRqv z)0L{DZ4H=*lC~7ZfVOT1c0H%Rt&&Ku^pZ7x%Y^oax(e}OypE@&Sm!Kho`rpTQ+_<|og{kr0|2%zUTLaXyJ+S3Kf!M=xe08~aU-HV1;(>{-$o4F+pL~sw z?UH z_lmH0@bbuR`MFA75ug|gxwx}?HSur3rKkp6tYqQ1vBcp?F*jajhU$EM-G~bTR!MhAr)ezt}6k!e*89s{TevzxX8Od~J>tU+a_J1NiZ4Xuta%9|- zJFV}ry1Kegca_z+Fhco9540_xqb$d{d(p9c=*GN>$QQpCukNfA0EU1c+**gp;jhJN9vJunl8y<}M& z>vajAnsj7mWjv&9$;dM_;^-lL(LvSy1g6LVUz-jA1px5gYtm| zdLg082PWgNzA#XkmYEsk)u00Cc|x*bp@Hw6@0QNR9c!9AhYq{QKa=a!T3?q`uZonZ zYCH8gL_HS6-`Oe^XayTB7tZhMoW{s$4OZxF*-ET$b;@YB8JAScx7EBu{ zz+eo*l>zq&OwDJAb@eA&)6f0`!u1y1AkB+IO4BN{Pq)qlpDN^1>|}TFPayNN>^UJq zJ}TSSR1O)9xj~=UJxo4|#1O9i66`wN?&OA$^e$^XwDS^PPA&nTYkwJ5laQ0o0mY<2@Td(^ys;UA}Rl?ymdt&$@~FU*LTKAg#+S-~n|@mf#UfBg9I@#<0Aed_Di zv(lf_RfnB52E_Ws!}7dc;NSnApD#}~0!9d#6l+6Q{%L{&W1h4)*{C4RK_Tjv0c@D!? z3A?*aV8T?GP=z=|1hbvxQH#;C2n6$*51_$91BS(+_XazOl)#_64z|^mN3vx+aD6(( zaU-R^J>eWvId<0K9ma9dAMS513`4M({>mgrOpVa3An^r}{zCRHA?l2QAT5ExdnDEX zDjP-E2*1Ef~zO4bppPH zOJ4Jq|5;0ZSz)YiEL%$eO5UthTU%Sk)j?oJrC?qX?5zNV+08u}9r8u<$xe-=*%P<< z+A|tvJM$FrEm{h}H`(b+MH&5>xS9ay2~Lylqz7a<&vFt}|W4YQ&5>L1-}2LCN}VJ0pddE}&~%uv^UR%Bz#}f9cd#=MoqD(Z-UluwhtjgFLsm zdlG+IU?YoIMWtAk8L5Nst_$>5xw|6P5J^c%6cb6Po#?4ZD&9Gm_o4`CzksedI}!ul zzvV4469V5#uX^Q{Ouv#hWdZl$iMTI6WpL@8mX7VjfM;)9T(VdJ5G~g%TC15T> z0D6+^+~N;zI*31 z-Dm8a_3W~P`_&wv&0}I-2A$sIS7x-x`(l%x2X@U5zmZo?A(IHHz4c8^946g2U>*@p z;5c;-LkA3`Y94ewMKi;LAFT|2cUprMHg|R9lh~Ws{ZQ(5(&h(tK9)oa-&@7@e5nNF zR=VVw1qI`vt?90Gb>x5fPaKXVK`{}-@WZJf9=cI$!3~F-D8+EUXoZRU=H_NyFrzVp z;}=q$O)eSa;yp8(`a$=C5XTN3@T;)^i)y&hbN6)+nLV_;q|kJVRVW3coPO~;UW8g+CSh#4KM zM97{3XB2?2T$3I;WONz!Ez;|D*k7Gp?M?X@CjB8!^q%qP6r#3!NIB-xHvL_>!xP(q zw2sId!wo=#Nc>0YApqgC1xkWU2vf8;klgiP49jA;C>Wv9fkdzc9BOMtrn8KfVj2`H zZO%8Z*%we}>tQ~kV=|EjK75Yr#6@D}@P4orC!t;Hce5qnGe1j5gavT2$bSY#WUd#n z3P8`02LV?!Gc@?ocsW8FhxG}JJ_KSm0hLZ!D`I5(BkOuJT3^Md9ayWrM z0@HxV@i}n8Yhd+!|3tB|`jZYI0g)xk_Pn*fAFXZUXAI^jxyH?%?e6|XThS4&&e;1gF0RTEZM*}=sd(bIHCsNmb)TAsfX8iOxXf`uvVY3$8 zB2lh4uDyb)4$Y=8{E}UEA`nSB#KTVz$q1aKFf5N8ON1bMV1%jA`Kz1%7=?cm`_3|x zxQ%P+PJ|No99s*+d>-PD^|2#Jw};D6d_nF@Fh>XxM~L8YSg2T7Q$5{DK)ixg>@kX6 z^Up#wz|hn3vRbbwu1rAvJq4UsxBUOxw6KWR`tKn#Kq46n0|vWW6-h^ z`lYz_Zyh~M8xMT(#1}J1?-Qh07?%}*>5)A_WhOdBxwDLgR*lrO#e!)g6fbic4WA(o zqGw%S{Gx@U>w5{QX=@k(Rzc|tRA|#VLOT%e} zQsUDU|AjZsyWu57=R=eOI5*+}voM`S8vY2ESS9N891iFQ;DDO)@6yBsYkk6}CxqFG zB9kDjm79cs$Sx(B7R2_*2Ij?!4*UcqB1(33FM$oF>VBLYjh~zzbOPRBnAl<}wIxVj z{-29|9}&?2KHyfM{P6FGcQoMzzn%X$Jt@PpoExJjISTVNWl?1}gMd6kjx|6?Kse3m z9c)(<(yIjNoTpF4)G`^kjoFPoL3T)Mo8poFrVV%(L0y+CK% zc_xKOb{`lrCW?3pgWPaz0G4vd^!DlVpI+ke{Ixqg%ILs-_KS4}qWI(U-)bI%H3<)x z0QwpM5U+q4OC<3C8orYm*u3&zK@pvo5p#wSnO_^ZJWs%BPy4csOtCoV=4YdiG{=0I zIcoX7kl`5r=QsM_cFk^_sM*2kZ*M~2gew3*NcM*8dOHE9I}KRubF9_+Qm-ObF=D*p(&!#cu@ zA>;8d4~XP>KvHb6UaKwslJ`$p=?}573nzBKC8C&s9UlYQ@ThVcj^oK${cH-|?7?|b zSepWWyiNrV_UbDO8Q&K(`Sgu7sv;oa)p}5GZ*m3H4`EJ^G`y>%Q0Ze6IpzFfOloX$?Er6nq7!twGDgZV) z6b#z@vO)9TDlyThll9JWLH{!40N1(Y?_bt-N@4mimZs`n-xxq6t;1!BwGqoX55=Kg{Eg;0@Kt#m1@uCytL zeVuLyMP5(I&-w!R)BM+aZ+r_kr}+3mP5!VmBU??O_TA1-D^?g)_R75j8LMJ&iKslQc$uto_> zTuT@%Lp}&F1e^nRg_%Se?34uQF`$#y!Jzcycq2Ou-97sr=5fcc-cNIIqm@bNYrn3p z8TpY?tLn@8&SF#A#b!UGn1f*m(c0l~g!?iwGD*_Jp?0V9Fc)BzF44H5UI|nYBt$9W z2F4>N7QoOuoI0bgz zFOXEp;u!Af34lL&1`arzPCPkeNKa1(u1>s@pyM22sM$nXq6c!e1{sM!b_~l8{icXP z!dEc%pHq8W4l{~ofNS6tziB#Ib2M7>NoVifcsfzR&gH+(o^43*|FHGu;aI-i_wbFR zB2t75mB=iqWFAUMlp$k=$P^;UloU;-WDE_aMCLj3SW1R6q$snHp_C*c>0M`^=l%WO zKVHYt_jsP?%XMG(b)Dxv_g-u5wYA)v1r(o?^S%5>>-lVxQt|dwoZBRzu*u^)K%C0t zCsIIbG`*t4Y0HTQ1WUkPS4DMHQ=0#0;$;Ixq><+8QYn$ss`Zidrw3;kg@A z`a_FKywPx4D5t*|8YsCrr|Ge}BHKZz$9cx$H?=IkG@K+f?@AE!JJEKVpvG?`p<{bO z(h8VHP!DOAugMNw_tH!~XGSI&UMizR?2Q_DgH13Z7?SQWPzKLss+LEReNMh8r!mtl z{*+%ApA*b(n#SS>5%%@IzCMZ}KW{DJ{!H_M>NkMMqx0L7vG41n>M>R$?mK%q{MxoW zgUHSco^|kl8ZXy{Ks^=*81!3=b+3=zQV*J0UB-KL_RwhVIimyBN0`tl4bEy`J3sE2 zY%sPIBKv536o#fMm+muxBB>+lZTk)+3pzd#ss)PuFuxz!L9xC~FP6X-(T8|>Oy z;_uyhJ*a6__g+CN3z!xGqmZs+4Qf0`*grOwdWi)fU!?QlT2VHGmY!4dl$q|zhb4K`yDMz)eZ`!6ZueSZ*5L`pq>H( zzUxy#QPENKhYgVhi0(cw-Y7w*w{)-U=CfKk%^no4R@kk%nS>K`fIkEHCQ|M|9!6Bu z^_L@5b;&L~PtMxX_`Q1diekviTT9gCrW?9)&02Cw2by6k=y!Fk-SjO%C)qWkB}EmX z0=bI(VgVo5-`)Xb4Dq1w{qy-040H5#$6)D*gUptJOL~JJlw{gdI!BqLz)a`wei_>D zJPy+etE3i0kAK^6Z`jLvlXKNCU~pAW>_=pHh3v1$->-dUW18CA~YMKlnG6VcVO7%)3xC!=X`_l-^e1KH&Rw)hK_PYp5@s{R`Nv)V+Is4{8^e?McU}Xm{6B`*;uXe+!Z_)@5Ia{ zUc7;mvjsLSVd^3aL3;LG%4{3H5T^lROWl-eW-Q3{ z8SLUhpG8*+LlLW?u8666PTlFeColJ%-F|1^)b&aU8nvFI&B08Brl?t-)gWGOxmB}A zxfs<_6>0*HNR-2JkXV5X!U_{D4cn@pHxaQuWEjwX&83f}SY3iiNmtH;C&qS%Weiq-(VCX8xU^4N+ z?A2%StpkiK9t-s!ewA^q?yCCpo+L)wjKBO z*fBbGWq(Io>1ysxrsS&}%I3Tf?mi{^e;Y;A!dIqR-R~R44O^fLrg@>{JHpJ#sewZR zsPHz(+jR5Fmu*S^>!4FY1A;%kTF3cm#YCpkUT(i&)yy!QRub^XLH&2T`!j7FcQ?gu znvs1w)sotC>t~xx*t9f-yRze@8FRM-?ty42(Fe^|q_~4;CR>(%t@)wRXKb4{H=x&? z&$2s&$bp6@^?4P`*4b%dND8qrPv;DH~#CHg~ zeA1^vd@UfS7(py%L<}gy!o_ z3T)2up>>PR-0Lc+pjiBM0x?1e4-Z#16y|j`hxhLPq^6|A#q+X41OQ>=kH+i><8}8^ zH(!y~Te-BGzi$NXbf@KS^osY@ecjVss@fapXr+;G8*1L8)vRpYw}A6u?UU|$pme%m z>xA>HcNW(&Mjina0+0t@etgBkbQyFOEgSo+PpNC33R^pzhG~ zrGTYxiBl2HGFi{gZ(8lXqgpMXzS4f<^v;xx6;Z9-TyFJ#a~t=VxH_$9n~&zQH^P1c z%r7_K?j+nhz+J5i&0|$M|7;x6&=Bke{;_;4#srY_dN-Nz8v{2sY7$pb&T~~HGp0yL z3a!*?5QUBMhpLkeRbrt7+XVU9*ReUV2{ekwir)v#u@;cZJbEKkc7kU@hO}t$2 zF}mPksdXwWRdlN#G(3bxJoC;X{uvSKad0Nf@k> zT`p&wfUE=B>1@T*b_b8YxHyUp2Sb9zfSmn~U7GY&>h1q|UZm{?`axJWXdt*IbX(U} zujLQNxAnrVSOjwkvqEKxfsN82)gSiy@l!whzlg7H{*_ye&^L*<<-aF5Fs=?N93yCM zpxQl+T5W|}fs%Yy5m?ehxOUBfO|S%Be+$p*S4v>jkmalSP;NSm`K|0+_}@%GOx-% zqB-fcVravpr>xX4{ylHWdA5Q=Jc4o7r=si~FWt->A)Jz*A5L5r00biIJAD3p!QZ?6 zXWNBytL&;TSABjWQvWx`@9Q25yPD{C#$ylVt5ZJ46Sx|%I?QDQ=6A*lAN=RDkm ztm5SEs3yJP2Ys2!=MKmWqMUvXJGP@JDJcW_Tcl6Oe!QK_efJtQcYD}(>4LPpmkH$@ zQ93J^{?WroJQ{52wT}UIxB)N*PmExFFK)3JvadUrET0{A#^^wQ<0jwZau58z&OYm- z+5W0$>(QsXHhUGF%z<}a>)?rmyLY{u6XF^#ru-kHkujeoTzCPB*C1GDjtABmSMEqC zTiVcQe$!&@gxbBhL+_b#o+cF2_@PiH?r&%EOyJID&AuA09jB4~lbgUgr5RJHR*Q_v z;*8lio?cegcW)K;o=w2C&l8c5?84bi!2Lk96G$)(`8IM9y{}Q5GOTgxjF0x$Z`=T; zaI}H*9O?E3x7`779LsJ@>Hn{Xouw}LP^caIYNE)6We^{nq&zjbgH0G;o_M5UQGaoR zBp0*v=TisNM^@NvIZ2G@D?1O_;5HO9NcSO}#fR*Mh3SCT$a=+vAsPr1uU`$K<=Ea= z%IDwa5%5v|mP(l1Y>s?^aIoS2Ly`Kn+d(rChe-6*&%hWqexUl2NZc)=Y*M0u6XrPR z`y_1Cz0Q3^T2=_Bw+k!M=);8=iu=Lq213YJUED*AW8vera)D$!Fup!S^jOG}RRC%e z30Z#rOkDSlSre!xh*SkOxXtGTN|Lj668(PZ(aD|D6y|>&FjN#kPEC;Vh=7-qS~fCg zxDu!49bxj%0F@m@Aa+^QeD$8QVKC;oy+j#gEJT*IdS{&bE*w$DNiCUzjs9hS z?>Ffmm}tFd6kLSnTKT`rKd?f@QM(1|sry?Jr3HC8;3ZcnUq8Y$(mQ(LS90*dKDNib z_nz#d4zmQ?K-}|)r!$-|nH$r#>1L2X;N7k@0v*LCI6@JFB>NtvA zSUxT6CkznZK%kaeJ%18*)9UE+xcKAs{y#6#ICSvv;ng^*W=dta7>P|WsuwMI>KYnyY5Q(1M=B)+G^{R*%xvQ{So!M$v5CI3oEme4#XE3& zxfN5H>zoF;*I266+-`5zMl`B9;amVn`@@qrFYJl+19^+tfDU0@Y6)x1GMDY7VH@vI zF)a)^25joj=se7UB$LR8D6pNS8dI1oc6c|NcmW=(QD3VkU8KQej6XRZ5w$3j^m0{6 zIKAI+;ByIMl+b8Mj)Hj+d28ZpO8Y%HVJ|ozrnr1oi=Bd3m-e?PCh$nogvhhbvXM|Z zf+l?c07eWdh!G#oVr#4|yC;IZABdz92X|I`$>rZ3P!7^7LjVfy{WP?TDRkY<2lRHUaEZCZ_h@>>0S2eKbW2|&^&yxt^D<7Q~D3s1UA4H`(Wa^(#un?N`$_W z)<-B=8(~DsGq*?LKdH6(WEen*Uj#)Z;UbWEhY@z#xvKB0$v%aDBXrb5UjZhM|xrbg@C7Qo3uiEWf1&o;$W@Y0SSD9&#bz+ z_ar}J?U>RyR*@C%hLoDf7SV300(kA9we_e>&Y{s#aJxh0;|V(?B{yn(XFlNhXN~`^ zb{l=6m}_naJlg0i-sfAAY64n+Ae=uwPx=xs9BqDHURJVa;_;fE-F(N$BX4Bs^|ss< zlNO3B>sO-z?tP&RJzlBF%@G8BBHlzF2>$20K-qy`%Z|GTE*qd`utCy~7Od<=`!UPT z5e7G7{cHSxDG%kwEhT-3pXBnSmalGDXkg<-ZLovNvDrRYP5m>ttFr{Yr&uUp=oTF>-iv?k`uZ#X4hZ~FWg$u=>vM>z+L zGOw%3y0vR9!IZ7^7CSmRYBR58TsM(6>>>@QN&tG^#!XaUqN1Yhtige%GYs`Je~mkXRQZh3=@<4A z+fFhzf=n7fl%*oJ58%|Qa4e7x_yyw}17wlJ*O7!u=;-QVN|_w5Z29^;rY!QL<@*CP zW}g-<*^OqIhNR2ZX{a+&u*`-5eWm~cr4lEJgevthR8Zsygkq1x9-;ui_94EvFe+8K zwCPsdO@Mu0YkoTu-{=)seG)yw7Y@#R8|Q}j_7wSaIq~-XH4Iz3;;Km|FC@nF3EC=h z0g%P^6(NB~DCym%s@EbESre|pe-ai5^UAT?T~*L+rid-bMetY@YgX8)@0rfwm5U^7 zS&yRT`mViF?KTOVC=$NJ|0@zUQ;*Saf|uHz|Fzn`Um{Xxu4fsbDqMS2 z{AcO+iURHr!3tKJND-xYZ3qMcnE^tia%IXmkeJsVUN<4|uQi2a_%ut<*AaL2ve8Hl z;`c^OPDMq@FcG>EsIoC;g&Yx3+SH+l{r8+vahCw4n4KR9%DkCnAXlYROl>xG52>r2 za|20TOMSlmf;xvd38A$z`NbeQKLh>CZXJ=(RaOdu4B8dGQH$q%ffkTfKmYz{^;&z}kCFqqkP7Ijd--e0QX|W?OPlksINUk+>{XMjPibr7n)iJf}<@AE5YEL6Y znfo?)s`nQWIW=hkfO*q$sqext9eMeGr%^ebN9MRXd2a;$N$?n6_;93k4CtX5 zfqmB1XAIfBwzQ|TVX|;;mhK1eyz`yM_IJS8pD+XTEReV?j!8KJcsxM$hYu3>BU)Ml z`}VN{9!DHR6uY$i(o8(|O2I9?U(5AIpk!e2U_WM0j!gtA>C(^ukWg`&}lMEAI9)AAB*lZII z&sU`t(rS>Vl}J`rH5dI9x+knb@~$K~f0*6(^}d+PW7AceO@N`LZi^4Ez9k_??>B3q zh|C#@QHBM`KDg1{pk7iZC>fyZe01Pq8VJ1nb6rqtZOxNVGgEC1LxSR~?Mnt?0Iiy@ ze^BsgIxX9Le^tl$!sW^HAEooDe@9F!FJ^urPQ5S>Hjp5*rXnsJrTW8y))d4_h2erz zrD}%`6?jaaM1JC;cyv?7JT!q9F;RqwHArHOf|dl=%EJenr`)I<8^2v)aQv#s^?S3G zM=Z4j^kKxe1UG!;SMfiC&MSx-TpicW^Ij!xdqlN8aOJm?;_oke&VH!OAKm)g_}6Lq z^FMt%_Z|DH%k?|PqNSf+86E}%d$#Y+?JpOBzZ3P*-)N(ec(b6%oG}a8z(4H)NF&`E z=NoAu?Pf|AE$`jBx+TkxuIXP|U(#2Nr%zS``o?q6M2(+lLfnh9S%Q_BQ6%RvXvy;9LYE9*s7$ zwSM7G#@@f#AGhpdxZBdimvJ1_edM!pvX|mK*G-HEZVuYCR-F8SbNNkJ=hAF&wV;i; zcJO858TK1r62d+#UXaey&+59EYe3eqD%GDSaD?=IV}+)O)rrCuDRG$NU$E-{-|qbN2;)(B z5`O1Mcm-yXzzV!xH}dw+i7tBzyCN5z0mTJ=Ck{rHfk*ZwcZBh73}Hb%Kun6y4b~vh z``ru6w$@|&`=5hrqcOZ27*}xjE<15}qj1r6FZ4PY%N5)igDKAocrb5GpC$L9N}-+W z^aiIxm`WscnA{LR48R~)AoD~18XV`{xJ(KO2nTmp-umM-A2NG$goxAew@F8d(H1kb zsS8kB^wThN@ZWBPL_v&Gotrdis z2UKId(if`-e&|I9E}J7^uERVpBX;Q54G3+FpHVwhfYgeK-$JfHnV%U0kt24R_QPpa z^e>a2t4V$LI-WU|4KhP;DhVIG64}~X1#H;^n#7C&T z^*sKtw|9k75}E+Ii5C-G&$RQ*6)M~&Hx5myj-I{unzc4o??0)P#Y3LCPK;XM7ZY3W zM=p#8J}L`#e=OjPYcTzGZSMVd(^r%Iu52MnGQ_O;VWNOf(U?VVLPLQDDWc2&$1@f zpH+m-K&wE=YugdB1jfn%X(?#wgD(WIN@@|2CmeS_pd%OX`ty(M=^Z8S(@=22|g*%6uoqMx)Zd% z`0coj5f&+jJ|3?d|3Q48|0Zh97hw}o03zGL#Eh^&(SKz!#@eRU#deD_5`8-D z8RUaE9kByM^+8v`!YqR)>4h#zJeWE=`WN~|i*0l{9&t@hRK%+W8)Kbz^uM=)q$C=7 zDPUBT1>0m~?!n-E5Sk;Ni=)g~l67cP!C&YmwXj5-0L(}dVk8IaDRxKI^4|-`jpTmd zI(38vDjHHhK?uBWLn=B#0t1m@y+X449B1KkKy$>)oeVm_Xcaryh!Uel6g4jO>-Vp! z&}5bgLQVM3Y9En+M%y4wBw=Awi1%(2L3?kGfp%&5QZ4>i_)h%&T@v1EFbvS{O# z9CsXs3 zMgH1v&PqVbkXBpt;<)_?RoMt9%%{CbuMSj9WRBAEvwz{gUCL2l?8jpMhbswL4h2SQ zn3$L>4)MB5BFP{fu_(X`J--diN~!VjA6sp4Lp5>n<}2Igsh@RrOfS!$5gYXRv7WR^ z!n+t)YjbVob#k{yY=DKW1>l2(hBW4bp8XC!^m|$O3a}X3WO?R?@^^Q^feAw-Ai(0G zFx=uMR9+A?3QE6k-PbI0@T}vE4*4^*MNo4bo$NzM#{Rt=m@q-XnmA(jZ*`Ez{BMfP zZ=i*w2Ap+-{MTjp01QN5fqif86_vt8&-0h8${O)h^4~8R^v3pj0ZWRN(v#Ke_AD&_ zXj_B@7YBkl+4VS#Yk!|d0xrQ&zs7AXFYil|H4@0CojsAx86*JkOURmn^B9I8g z$h<%x8C`=TmUo@XHa-|R>R=}Hw2C@v?KwTk)QIAI7OrRKUDoG*tS5ff$d@*%v%ERO}eGb0SqG0*GveZ^_M$@BJ-*T*fV-ydi_XSs6| zVR2RYt%P3H-7lgyX*GwJ#scnT5&wWrB*Xt5G#$}nK?_FK9S0G(CBcn}0Cz~xxiM%6 zb_h#h7Y~liyiE_2%cb()A?c^jVl>ccfaik@4S8%3vq^NHq@-eiS+heeoZIMiS^sPWW$1THr zyiWwWe|VXP*9i}pK3dE;z6si7c83J)9Z9Yqwr z$aDM+u@;3cjf@5&y`b=b!#t29Zga+8-u=tl*ofa+hF!s(`{A^q zAoUlV5k^0ucr%*z`p7vFbS|XHEO_5JrI;!jBYH+MmVvbIA{VwTx`!N|TpPz&@_;)z zTO2gWjc0WJjD)}@A>F!aw~$w|gOxNdwbAq<>f!SOdtb!2v-p^c9ttQJ-CB3wmvZ#N z2Y|~kDEWlg1Gkrk!O8*juKvs=k6UjC^cu63@#?$E0a2cFTQ?AR-y*l+lK%s-71~dx z8SxV3!3CeTqK}g)0#O&nki>5fSsuAF9DM(~3Jp>ncB%EQd7v{67+FIW}$Q}FUjrl@kcqJG`q|WftJcQO-q)=J&rld$Hr=U)3 zT+8AA6y*_l%_zieU_}b|x5TgqIjonOvYwjG{y-A*xodf^=ta6D(XgMNyNjUWC(>P{ zY<~_8@2Z&KMea^*2C0Dd9tQM82L^Jf;WaGd`{H6GJ;C>lxOdNZxNJXP&(_B32=#ZD z#1|LmZw1V$A_pgK zfmj1Xm?Psdwid7D{ProW4=W0X zhh>rXPX{uat^*QtWCofqL%9o#=5WHTNwQbr{nu5WDTIzUM1{Ni95(~vo7**O3x;@P zY9uHpV1MCeqd7<3iF-L?7ydpv;qr#{gt1~*)n3#*Nqi4bYDSQMsM-JD-Znynz9X+{ zR%B^ZO!qc)YRDbPrGa=o%Fl22eYNS{4Y``#3Gclv3TShWEcSzb+ic zA?CQSMBB_}Kx5YrhD|M$fn;fqn-m$|Uh7m}{Vwzij? z2G=7uAN+pkEpW??*{?RoxmW5SU0J=8sP&Unr33i;mO(=6L$qTORn@qf_@Xp>A5U?wLS@W9eCROEUf0I)D#Kq*aan6fIzimLyl%bKVniMn@3^j*Jb5aMkUdO+dt z^WWJzx9tfmk_cA>HPVTPe~@d8L4Pxfu`-r$Fd-x8U@N_jp0zF|8PS6vSd?cati@DbvT*639aCI}UiBy3Fxos4NQQSaXy`Bqx8R{^Ub z$SvW>o&f448Vh8KIPA961@jyIfwqcIQIV%8E3my^X=91|&QHlZu8NDeFl^mvw|%Ew zL~YZksPI-xiv?;UBfpCZ@0oJ9`_v2I*f~v2a8QtU)Moeo_o8{MiGwD9vjae#g`a%G zR3zl{u!R^pcL9AFaEHOknKdv*5fMr!dQ9nTLk!| zHyF!FdjYE{f`S*Y(ca$vAAJYC4LnWa=BiHldPy;i+}WBAQI86l-MK*gtYP`I^qW3L zm>=o@0BzyK%9IRjB|hIT9~Qs=TU#y16qYIfUg=7rvE&D~jfIijz`3ERLabyiznKN|P}_rPX` z)x`j+6=oZE^uUcHrTvJvfq}uo-OS9)9f#jBjYF?8d^;Zl9|42$yvfwhnu82GGbKg! z>-~7w?k{&H)x(vX@|QENTVMP*9U8ppspQz%_X3_j8Ox`BHA^p?emm{)8BHXeIEwDv zzwdD22xiuE9l%Y1p?`-EAb0lnz^|G#Fxpc<+~2}Ax^adAb+$?UNguDfKU9;+E9|fbj+ZY8DzUIX6*LC_`tw#<;fwQ4BTOCnGL?97^Zm zX;7wFxVJRIT!S)!FM0x$dG0Wm=waqCi?d|kqUcjbjEI0~sbfFAK^>8S4)UgVMmr6y z?upvnS%MtEvBEqd-8^aHrc+c4~mOCJ1_=ktXRy%UkMVeeL9#g1gM?&_DdQ>_w zuA@-=tSpVP!#f`Bm6C#os`~o%>yK(`K9OVOHIiU|3q$&JGQ$e{F=p^vET3`YwV)3V z3lrWLx_aE6wOhE)^7s2Kwf=6O=2DxB6_DhH#`I_l<@LX_TzARYIk#2mug`0=BRIBD z4Qa@OL|B6ULrDE(jZb;CCFMc;dS0d-6O_>ANjC?~h}SV?siwB;T^R;V?LuIJfK4YS32j+t1U<5F^ zBx>Z``wt$BeW*1~`164E$SZ?O^Y#yQ+_`F%E0Z%zn$3&_)#}&=eOJ6-}v%trHTSAT~b}@^k((2x|0(*xxMg6Oz^1&4c=xYy6 z4~qV}>NISUvL4o~gMYqyx?|rq4O?_5;5jDTz;jFir_l}Rb}|C#QE<9d1bZ$n))TQE z?_J0DDcya>ErX6t+pb>m#TPFVe^%j7z@^@ihmJvU`5WaZ6lJDEDs(QosgEB|p-z8` z<2VCsp$=M~3VXJ+j0%|voEqHoCDe}oQI5{;%9xh?Yg?e1tNB&^%^oX`XX(6vv3 zk$$wNRr;VmtKO?t&y?%*Dej(MX?n+UMIt&U-|o8dogN~x58P|<5zKf>Nu5xLAg~;Z zv|e?RzvYRH&bUNRbz}UAj~WM!c!r*DmxI24qgCn{<_7SM5bcVB`uJE^2Zs&WSw^0ot5 z$Zo-1T?PusU6z`(uJGn{XIYrur_Q+kCG_1Q*YV=9+fjUoXnJIdD(N43aFG1nM*Llz z8$=FoF>X8!_J_tXHcg3AMq-P5Qh6$rwIpP;#IC2cxV_BG&ekmLbG=0bDw1Q|6iQOS zqa+$>d)Q6Pfuo$lY!Lg2`#;j9i$~kEP5w4Twpe+}o6tsG7~?))(9=0^=b6pTPB{w%8RoA`rZTsw4Xmp&8RNAd=;$c32+VqkP zeGkQE8yq@xlQ1NgM>q%DnXb&x@Cyj^#&5ut;sdd&Z!F<>oI_@RL+#q@bg$x{N++H^ zKl>o+P_Bh;Xw?q!h%~qAWX7|d5PLp^gHL&Fmlml<@o4GiIjKQjx z%5BGmj!Tjtz`tS51ggYtxGlYV`<73AHf=6Cug%D~BSN_Z);49{0VIV<|p& z9kWi{ft^l;>}hSsc;)n}D*4JCpVm_)PC42kN)Q-7umaZp6?(OT(_w#XfP`dswV zb$56FgDV3EN3|w*X}#E4E>h|MO7&#zm1^b@ft~&HMeTCj_GSW-OqZY zQBOnT))i39pAnP_5SjMA{rms>z*C#Z2g>Y??unH%xAi&qpi`MK&F9a~rjX-$+cvZ#54G^*#npX| zvA9uAWhN&d00vfQEf{{s%9D$0XZRfv^^--mw_mH{cV^smaMENP9NWd7*m}){d1pA6 z@C4xaX#4w8Y1oK$-H1>#sqjz|Q7=sXc=q_UHc6%xrHrgBjQ);#ZU65Q3Odcqpt|_~Uh25a7|XGHl85|7FV5#ii?)0{5D+&DJZwop{JVZmCFVF)eL9xduj9g3FehDo_qjLUx zSxw4#@6qcaZ9?OS)QrQ@Ua@-Zq;5*_&v-tWMds6VzTbTA z=@bNuU)0LUdF>5_!cQP_B2rQYKz`rIjK@7f*Os8LaP!x6^2QjeDpqeW(9wAao@fH7 zrVi%UcvbQv(w<$s^wV%#YToGSJ6+CCQxsyZp@}DfU4g#XN@8YaA+1Y9F z9$Pwx@a}n8Xt^g;sIU6L;xGd=V|sqRHj;P)WC>oixcwWiw1u=LTYiq21z9#~Hiqxo zez2zRJL;ikeG^{8erH5HM?h#KL+x`e#q6hj$dzw%$>^fd3=UV-Uyd{3@#wT)bmXjg_v;5R`O-)V9vcuSS z9{{p@LX+WKA1)tvmc=dUmczMohS2wuJBOi07H;V0&!1{scHSEg+Q@G|_;kVTUPn`; zrJJ|8Dy2T0H9lS0Eg411fnI7wnQFSxv+Gzr(ti0>nddUpXR28PovKl)zH`17Zw$Li(l6_GD?R7P4l;3p7O0OjUgKJw?npa@!K`a z)`Yh_ve4a%YT$-qsiw?H2f2{Ktp2QzA5XKgv5_Mzf)81#J%nAtf`aW(bM6C!y*Uw! zYT>@%gz_pJu&;xl})BDRDv=5Kf ze7b&9L9d5ftT;0_w+lTlr0i3VY#Dol<}H0~?G56@i%9Zr4i=WnE5QlB*NpvBUy2@$ zJhjLlIWKA5Fuydn^u27LP=2kZ;Y)S9iyv8Mo{NObZhNwQBDT{+EUolt=qDO1E};!) zFt8y4ojh}(U^OBE`@OTgqoAa8s-vSX7b|M$2R6m=uAZJu(3=7Di{vpG8hSoI|5)Vk z(}e*^Cf3>adz+e0Y{mc&1Bu-TOxf+@F{~$jS}zR^3I3*%Iq9fpVv+@kgFPmDKJ1J; zj(SJJ^gaE$b$8<9Ukl1nOpIb|JXcYqsq^Nq9@jQA%K^Ubh}-CaxIW_1i2shgvOJz= z+$mQTx>vmcAcp-!4VDB|58I#O|JH8CG&v`AH)OQ!w!e%it1=ujz+@$n49LgmW zd+U@20@3)#=nXEBcVc4v)tGJt2g`oh(_b*m%Y!11BUV_(OE#JFe8sa;&mS5Ob>=<3 zJuT$fV($(PVyoQR;9CB9zR|eW@b>N7C#$>)U}}?% zsd50(kJ}|&d<S^*Kd^4xsMpEP>{~@mMXCz|puqJJE0uM?j>G@j+7GDs^|#4r z8R%u-R=>Jt)J5oST$+Vzg7rODDg9>sQnlPA1qa6;4&e4qmb<3L9Zv%?p9<2~5$6@s z*djR@94-*k)76mpFbU@JtIO{_EyKFoGPKg~2>gsN)$E`R4H{mvOMbkCbC;UNv9j!} zVsqeqS4ppi0?-Osz}G(qVH_eVj(V?x8~4k)ckkW_h>TAhJ9b+$R_*Di{Njlv;k$QV z7mwC;+ptTHym`wL`*>dQkw<=cEgKhIjfS zT;d2H0_bBB5OkD{vFj6Lm}_4)4qi%Mu3i#hXK;W@i-Yx?Cm)wcy|zj19vknC`dHui@LwJRINhZ!?}pKH z1%R<`*?UYqvNH3Ct!D7GwH#7u&%S$OVEi0xu}%Cf8w*7Z-hVrK?aHC(bCDebeCom? zB1JMNsOp01*T}kXwaWj{{8Rh)*I%?$@!2`XpDwN5-uCsKZk?UyUao+H-Q2E!EW1Bu z4`!8#A4q}{=78S z!kwi&wJk{B^6IAMGryXP>~8n{yu_!D091h{y}d92#nVOjHVR2n3&&L*fgKz@azq-mRACjPh?bZg#I8EJy!*oG#__+XL_JbvK( z2B;xC%Oq*3sR)o{p10rU6`UZF$U`Uku_quMZES5F&@KR<*TUTw+uWOl(k9SF-_GQ_ zaPXo$Px*a({H5rR`xVkA%)T{aw@P03c)6;Ap}spMefC&z|7_;Rl9dxW(I(b+uiVBF zhS_sBa%)$-;kfypdz141y36fUs=SZO)WX3GcrN%r*K!m{4wwZ3%{CQ^{uyTSZSVIS z%t5BB8aW3AfXI#=2cck&BbSjo{maX_)CBJ8sUTn;qX%vhUD&$z_8EP}m19U|S|%fE z4SiAG3bH3YW$_x?!{GbC)E)n?5Bzo)^t~#3r@Npz-v^ibV=yXUr28gBL-G51`x?*F zEnBwmsY7iW$u~VvZ307}Zm6rDy~KQ=_{;MjydlUHoRHGMz3%HaeS|iqlSnwxf>1h# zgeYmQ`*)&GvaLV@zggn$%f7vwGqF-zH^}g2V**<}hp=*~>y+FG4 z2L8f(kq5nad4XP@B0xuflVs;}YXCD4fPjQ)g6E~Qi`AsGQ>zDn&S(c07rNx`qnPMZ zqh-i`?(A84^`P^Z2C+rbI*_QBiI$uoA<#>vLb{xpnrfU795$A*VD$7Z%VK9hbE51K z*NW-T^=|6|N)PKq-*kN!-6%mbJPm)+`-+zUc4zoRA&$P?_;_JYy*Gnb}BP{%w1z#}czb&QX@G!Sby z7~r6_mDkss>etBOU)IL1Qg?(M{%$V6KOeB)&d$yeyx4tN_e=~fbhJ`Nj@_uN5~d7c zPS{V#U>p&qr=S4#x@2qn_<#I@*Cl=Zcg&Bb0{VdYRA5-}v&8+tp!e_p#mE1W4Ne>P zC2fMqK5A$8YE%~T&4BmWpGdJp{sANI<&Ei?oP$S5lGhuO^3x62T_Za-(OZE$N1eh{) zhcBbL+6>m=?bm4OLzng`@PuJ5yn0*cNYvfC>0~*h<@q5|WGdivAQ>p2lhNFPhsvi* zdiJOZ-o0C&>^kAf;G5N_f5_F)3EO?AIy|L2_t!2SGjna?$3`iY*^c_fn(S#(^N?*p z*jHin%lW*%2viueqOIBeovVKuAVJiEyJ;7aqJ6M%d(qG^1gyiSVPn!c70=@-BeVwe2dCs&-K|mxzWGt7�k=C2{FEp?UFq@ME` z;S9b#wvmw%fp&QcFEg#eHPYD{nF4Ol?R^czPOtCnQHyl@|K%j~Fk2`-ZnMBi6_u;7 z-OU2NT#ZtkMD@2lC)3gk*E<}ms{86y7walDZK(H7O8pJwfo@>x2z3KINFOTK- z7M0L34|pq{LG-+jsbNh_t4zS-PvXq%f_&B;O~sAF=L+ODx@d-6|7!qQog1*^S}Qk@ z7emrAfbNDSAdciy_pg2ZiLb8U{DKMp&6R20Rz&R3t+d>M+HjeUWT`N8Yd?2k%TNmk z9eu^i5t+vvDp(a0fkI!ESK$nXq1zj18J@U~HP3j|Gc>zaIBBltx_+I$9y;v5Z@>h( zL*eF#pbGQm0vUF^z;0BoymeSZ#a`b}gO8D}@~-8heH1m;#wFgu?PMi8^!|xm0`HD? zal?Kd%t)E&P}}+r`!E;aH7pd3wt~;5ISsK04MqJ&B}JB=B!DHhb#!E8GAICY)hXDa_n*gAc^OfT zsUj5@78ZU3BhH@y-5Njt^#4V>v1nAQ#c*4B-sosXkoc>y2&K#E%aaGk&g4X4jg&ih zASFLe;P?dJm5XSB(u9V%6L7;`I0_u@!ljX69KR3H7o|ZKI$oC3v$MargmAF#^6jwz zAK5hPvg?wY5{`PGizB0-_Z-gk*Tq@a_)dGvmE%Wr_4MwL;tqym@XH*7t1#MnrF}(~zhsrLJBrcsKk7i^m)TV*s_#W!58;BLCw% zw=|E=@n{41CKVOx&Kpcx>gto)?;&Z-gu;Zg7I*9y6?To$hZdzMp2j-1S)_#ScXO`< zPKN48_Wn zS)bN0K0YpjfxQ{ukq@*0W(ojl-GTf}&(t&xstWcK+v@AR%zS5zBBay%@K^;YL#BLTJbv^VUe9Oc=QO}TTO&8bg9Ov${ zXzJ*4F|yB#c~orh`t@r9vi}?o*y`VQ8!-@33?GmOCRq^m7o@XyJdy&eO4gH{RV}O? zEv1&$K2RF6sdv z>uMa%i784w85$#dvD)0J=ZQM@^14JGOi>Y^4&Z?t1hmSN@!wbl8)&)v!w0_^T3S9N zg(?rnu3fv7rV4EJmY;4+*s^7N*s;_Q8nftnp*>Riwr4Zn$|*g0y?5+PR#d&o4m*uw zXHu$D4aCI6mM|V^4x9O=Rv0*TICDSSF%1;tJ`CiXmTVCjwD5Ie?Tlm40|+B|*_>0g z<~Y$&CH6AEyqB=h&g)zd5c~ZM=SG@|y^LyQPv{t(icoWZ9y^l}(P?tQC8gRRCnrbE zv~vJcJ8yH#89?0gE+Z`=bK=YuTT1_n4sm-LN~KPF2S2{?WmpXms2xoZd8l$3e;+dp zL5e+WKlQY1Z_`+TkeFZKX=xP9ksQ6BJ14)#T%5T-Kh=KZ5|(wN?m%cBCIkr>Vu zaXBLtvS>~{Qq~O>)w*_jE!CW0K+cwLh~L-n_?EG zUl?G{Q*nO=;uhOM6}9Jpdpn#;`yYcfx~FpW1DC z;g}Y4m5OQ7KPBvG7DU=sk&2sPZlZ?(?Tm~OA0q*ecO<{p(o#+}1_$eJgRsH=x=qZv$h0p96>wMwhlY0DWHUeGDUa=XNV}bRHz;&BK#WvzS(iLb;D-vDEKOp<0+&nFv1f;LZ> z8t9*d{sJswwmKh6)ezWV9YG+w!?!rwaN)MhanbtiEm7NAHf=YeU`mZif1=YbY+O za6h_;?(UE%PZH7}So$OAu?)X1Rl9b7i{@ZWvoJkJJJQJ-qQ!LVs^^RrN1eK@v1AXa z{726!ZX@T%Ne62qmH*iKwuBrQs)n5g5nHqI^?h0@-H_@E12 z%sz*=f^c{`syh+;8Nox2Wgd1~f*a06J-U*ox3!`;f*;}GsMn4Dkk4X!WP@}(lG4^a zX_-{m;Jw$dX;@*KTAk-}OY9?vYP`xq$WbRN+v8t{qfQ_x>5;}BhJ&DbuqEDLVhg{z zVxkt-Bm>(#N^C$z;Mzs(9CO?(D*2jR%d8Izw1lY3F6=gbI$>?x(Z|L)AqC{r1kp7s zcE@soO6dHj9gOak{V2GO1ay4I>e(a9=yn2Wv4*CfsLUhWNJ+_~+N4rGAJ$y?LB zq>*-^6nltCxZiLul0L6p7w)I}U*>MR@RDn{*+9tgn6c1dS0D*DfuvN%6~Ic_}{oSlosrP$HvQvia4kw`f7C?-gs&y?ps{ zz_S{3Wgr_)uc$c5=$pm0Vvv!MT;E+3r}J=fHsN`@-r|IoQghSg$d2pAk3&52xSVd& zwfuS-R@2UDnP{f)X9EZ>xFqg4{QLrzVghzih5X~PUlN*DGT*Dr&z0qGH6MWEyv=>J zt-u9|DB8quW2JZaw10gQd1E=lAE(ba-Z`Hh@_UPt z=U&rD2*I8`8VX?h4i%&fm*~eefT5K42gV`1ytJ?` zP5`_>YN+^2UL%r~b*uQdhi`bcTr8FUo-Gm9xM}9H?7FX?rFosXy!VU>g51C^dYh)T zb?nn8VF3X(7`UJ~4kLopsY$?0*5v(2aJxjJhuXf*k7^5i$e4fs_vM7A0~Ech%{iuD zKkQZB7vm}22BIcG)i~ifW9QiG2|nYmMu)GTpI!B5SZAg_EtRvTVV9}UpLUxa0Y|;i z{r)Tr=&?+E>+$8Ccu%~XwA}eBrlxTOcR*I=_TJez1`tXpI~Li-Z$B1C&pL+pY)SDC zJ=N)2cA&c=fGtyQVYh6A&<|;;VWCMnHXHi9$N|BC!QVI29;c>q7vBIBaKT9$$iwcB z`f?jo80xiMT?-?lqV{2m4C8NP67KFlby_Y#L2(TsET`DDq{~CPE%N*1^zi9OR{7<3&YeuO6D>)v5Dz;ai@$=T+*P3J-!?1pf_tI?U*5qX6Qd##9n%?qGxqa*EgGwa zqTuo5e-wpPP$`4jgzT^PEVLtUtQ#H+vBx$m^vm6{X~Kdm;-CB5(4o6Yc=S~M5feZH z0TC|FhPd4g^;`0 z2Vo)3)JF*8uvs#~Om0BbHWTwEHHXU`l@{j~CRAyygr;APp0TM)J$!hkQIdz1H5EqW zLdfh7`ZIJ86(?Fyc%87$`YAgm6d1lm4y$J6<$?P;UzX2?(y_2`HvOe;&(C|3<~!6h ze(sL_PAUTg5^=U~In)%tyfECGApTP8fSdo)(vpj@(%izcH$1Vq%3!J@T`LB221PaS z4a>L8H+?W#xoP7wRCjflHvu&UcBn3D>pJy=|L?2a{>9Y`52^sFR)Dn(WzRU37y}0$MuKT`3)erVq?ziDWrAu9*GWsy-mxTOUW_4_EQf#3*C-N4E zU?%eiLxLeaF}ymexNfJlM(Y}}d^&JP`|dO&%d@*+6Yx6(<81z)+Ri;H%5n?igK1Hk z9Ws-n0;Z!@qEQGbM35keTr{Cj%M0D)B7uTRhzy6Lff`anp%p3^8p1(w&@?V$pb-!X zg1{0GtrP?qR2V{F0?+OKL1`FPvuT7*Br+kBxG4L$d|k2>}`$fPyMpU>`>2-M$?a`o0;F(cQ>B2r}#_s zB37tPJ@#0yQNNWGJS+)oA{TeSJ0DC|C$M!_6iuRdi0aJD~^};S=~K5 zc0;*3C)InO#$)|ATX%e0@^h6+U#IeC!H$0^Jo}>~r{dtMe^ayIk(u2atLBfp2?yx2aADc@J`v=s{mCmdTH#jsAE;{;#i{RIc&*HhJa=^}KTfSkBc_HGPCm!()<}A7@@BRy)da zeEfiIj=3A|;dQ8B5QP>U)tz9`hLuj;-HLF*`W#n>xk+S?4>t�N#aLn4GsLpH2Z} z**Y%K)|9q5lEp$gd(KhTmr_=uEv!o>SCRJJ% z&4k-|3d8v17p<%y@81~xkdM8~FlW|KY;h`9{PiXe#2KG+nz#CZ}28?LLM3M-crWTndl*ovF$&DS9Z+*gR@HLreHS~iMN0Ff)jG|-M zbAEr9+=KW_|6nmn-&a?t&DNi&Tbbx<7V0X`t`P z7qs@ZQr#c8U?<*GwQ%v*?}STW5m>bS>{h@o8czGjzls-y5FttL-jv!Pl4q;;8|R1w zd`Cip58C0={Y{-2xw$rxT3QdJ;T7}jv}w-d;qo#l4C0#~9a8G1G_1GTD-w9qs9s-E zp3XSE9O&tiai}x0#r86N-sPYL=I*k{PUqbcJ3^7X7$@|2#8DZYTRJxn5mT^~cHNbZ zHuQ+xaM}OsAz>c2XRmQ6FQ1j?uJ%UrGUEt&2DV{j+{cmS2x6`=FTc_Gpu-~Hr2}UT zDjyY08o@*a>aN)w5z)Z5KBv03Q)-x2MBX{4F?XYouNE_1T0>vF{Q+hlu~N5#_T%y% zQ$@&Rb~b->))^ey77dEQ)S)9SwEg|AH*j8FA}o z$`C4Lg_Fl`tY7KvjeFj-4fWQvDetI1=7>7M62YWr3~81gqtzP0ys@AULKT4K~Rei-ChVjAx)t14+pFI8zO$%K7DD)aEGsf_gZ_-+q9ckB+vD-r$e6Y+LPw( zabuf4_a3fj+F5=bp@drb`JuzXQC(j$)4XCq&1{FrH?;IH86u)#yXgjg3#5Sha>3@4 z70n}}_Z5losdbbnqT~^rQxcNr??lzM`-3#bpKyz10( zRg$kUb>`}69$%z!r4NI32?{NP&g)r;)x%o1OByldBLqA004Qgkc%>(2zup~Zgm1Kk zgHa+Rp-gT_V2d$H)Awo2)ax*sOM-&3#59K?_1qtMcYD&T6&ZrEe7AZr+QduwA9Qt7 z(C5bjia@d)cJ+(_@$yG4>(~(WoaxVKGdnG|>0ue`Mn0FHq8j+wOjtKVAu=JFi*q$>yoC zy$CGvuJMO$?d?H`(;PNA6S&Vf zb0W*dX%vTo>BK7ZhcXlBV1K%)%4W};bqCm^Aj99;^aSUhnY){KXRW1TfOStFWyeTx zWQc}D7o8br$6BqQ31^9CEG?_G#%x1@@(ETa_Vq<%tt?nBGg?Gwq)Y+qNd$_#?)czH zM>QOj>E>I{lk2!qeA3ojScsYAxzVd=d*_Zu`&+^{^*kAj`C&?4YcbNa$K|TRl54Vwj?`LiV(5SN;dkNQakAX-n4@?K-r=2{Hy-0B3Rg z%M3d=)+aqZeSx~>;>80ZSfvG#JmS}nt~8ld-qF#aPMf|jd>&ZN$tYdss>56g4qlDs zcqo}r|Duc7@ZE@UezJhFeg7^Ij(Mwh>pF>Y7z2?k@i7$Ajf|)x@ijef}K3)t_Hl$l44oafHVc~VnLFJnm5n{1DG{B>t%=iV;PyX`_# z_I5c;TFqX(jO6Uvo%>b>ipnV#?10hnGP+F3cF~jLG9|*vy%>e6?C5PwvXPw$2?=$B_d5siR9m4=qc~gQ;g0xt zeWQJspMXjsSI^vT0r(+hS1YY%&ra89mN0=vc5brSJDz&yJA+esZ;sgu$gQk*f`sA< zBdUNV!c!l0c}HcB$3x;?V<LQ(oB86KGQQ!4E$A99GuDL^j2wBD&8Afo4xW?GdZTtD&kg)p4pTiD#}T;|ckg zXQUTTA)Wvxm6euO(Nbys+4}%uv4i<6hXtVe`}^0J9(7dpP?}rR5cAztqn#HF6w!;& zWiz8u6$yQ>$MfYr9zyd31h1Y^+O1rH>Gk?K6LaZ)ah&$u z1$b-pbudgP3Jc8!drL$+D+F}_K!@DWTjX)+q(+9mJE+02-p+Fb;?V)w%cH#8uP>{p zxFm%UdgSqsnf literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Time_of_Day.png b/Vehicle Live Risk Prediction/Images/violinplot_Time_of_Day.png new file mode 100644 index 0000000000000000000000000000000000000000..b85378546811024270f2772c890f85d14ee196bb GIT binary patch literal 55006 zcmeFZg;$hq)IB^yh_rx|5;6)%NJvP73W^}0h=gGuqC=}^Ed0ABy3U>j8 z!qGf?2AttnNbjiik!O_CjMu10z=Q{T# zb0;S|M=@Sr>;HWNkFA3l@1?_&7WfcCJ9#Zf6pGvsd7$4*=USjp1B&-#Z>qT^FORvp zsXabv-`GpJN6r#NDSwqv>BII1)vOA?OD+#-mp@gNR4s*THcouvuBa+=w&tSY9c8LQWgf`TQvCZNL=i1u{`*18pmk;c{ais^O^^8Rt#~MWr~lp= zgG%?~`R|>SsPnyY|GgE*?|(lO_5Xk9|DAJcy71ewkX1q=`SRVU^CRsL=rxK z7L?kb#O3ZXYL8;XdVl(ndDmD=J;qwnb2rPZCl%|RKYetx)uS0VS2?`mGCea>xzTn} ztKO$JcPxrgyofu39R9qfr`Tpp>`pY3_sxmtKfk>diXdYYJ4a6+W~$|NxKeKRd2zVZ zEC#DNYQ4SigLdbX+C0_guf?BVAMZYRaE_m!AG@8*( zRJ}5}!_HwJ@@M_;8`Ez-*DNvVq+eO9m?3-h>J`rdgTD99FS)^_n3%@*4>QfjYeZvW zVr1{$?fY!;$mjHMqV(CX4-ryzp`mUnFYAfVQRH>3)*af^9q(#O9dAEk@>*{c*kzXV zc+>fs-Erra1{E`NPlG?MR)rnQ7t6ujuLl!eTS|otSSQ|^b(~s{9SkpTG^=9VI?RTE zwAtc{@^5=sxUUCw|u5w&tooMuAF_P*loTy zpJeN>JjCBKIN^IL>3cXbk-%q&qm(4PV^#PlmnGye2=&G!f%*u31-cfO}5 zfx*G4gEPeSHx3RCvT}1v4H|LUUR-RKK0Q!@Z;(xs^8WhX;gs`8vZJTR>|k>a83>c4 zN0Cu0(S;i}%NBdz1bWtUrH?y#g_xv$l6iEi?2h*BPyP1lN9jm6IqG}#F~t&JnQV~X)oap2-x0zB%392VVVb{8ocZxj(o=A&+L4? z+P{&Z?uT3zg53%&E)t^cgXqU5bb4ONGhCbya;1_fGu8~%ph6lE1_w-k(naYzgtInn% z;>Cf2i&IlmS6Es34V&;9#x75M(iMk~HUIU2x-VBndZq$aWPU)~Hv8%Kx3GDB=4%O@ zz*qCWY4#%zAxAU}0*_wk%jrUf^Qibo`yC-qH-G@SEHh4`xA7*R=_Cicz zV&{l${mO8iNhhUE$k%{ zfBuXa=@D)@?&7V_a>RDSA*O<4`1}lM#nPv01&I>~2Ni!ld<>0_HrtqP#i~8JbLWgq zai)Y-**jbO8&*RNu(`sbquB)o-@xGct%mp<933UC2lBO=g$8wQTUl`%8XA7K=nE#7 zJ}T<4Ckk2cJ=$nLn&b6l;pdO(?R`*YHH_1sB7H0i3zhfe3nzql9hYHK2xUvjsjoxj z<#He^saot#rgX zz{?KX3lC2YCr&qq&C)2SsaqlVB?wwjqF`=kgJ|{E`z!3GZqe}QbU?u3{Zp|w>PU`! zB?>N&kC>LnWOKHYc3Y>X_2l@la;sas5}WF|KXH0;7si9ksN2Z_mR{)D`Dp1A5q;ld zp~oN83_D)3ERR(WZVfpv4g4rJzKhJAB5!RA>_&PKyGxhvL|*;L<;lb3Hi^Cy#c*$; z&O7nCDbeYk?`iw?Vjr?E3CNl74B(qnDHvcYnoTtYjXL&7>K#at(D9+F$GU6WwpLp!XNJmcnHj}hw)@|_dDAl4_}qP|pxjO@MK0=~?V|0=moFQ> z4C;9fI1apj`21sG-CMZE^~mulLMk?7n^~8SovHAAdAgN$%4gJaHb*6`yPeth+lw3H z3xr>=mWR75C_#&#SuHLwEwd1Vb6{6_!R32FRFgPdE)`*jGGZ?E+_T}SKXPzc9sPI6 z`t$lkfAxQ{)IbH3UTiC$@X?-j)UI@3g;CDJzh(}wY1j~EAA{wg;@SE6SMl)#4G@)) zIe^8UgW=93+16#aZ_SU|w=+gEOP@p}t$|o-U$PCHTtF7wn>e{k8?9x9mLX}$dvGtU} z#nUxdP1KFi8GnQQr{v~VLC>-#=Fb)DVa!VqW$UR)5m?ovILuTxpl z;m&qHVba|yo=5lo_qReyPoL(PB{fg+L5vl2{?pIT6W;|xiP!hBKna+2CsSIAPR!5@ zY)?n=@XxC!iOUO!6< z*3GbR8n8~ww^+SxiCWv+lOP0AS5HjYCCs!(Cv|klZ~ggL=ut*{lCP91F27(ubPwh`F4dIs;Kmuq&ST1|cEgd^p!9K6-k3tnS)Y zkF@QrTenCIP_L7dtxncMq}_bGbsUH;4w|R<2?xIdD{S9_1=ykB?+!IVpDl&F?oLskiYt0dhD| zWFgPPsMsA^sWr|g-v8qSM*yO4i1=znX2))o^AZwi^z3Z=VA>+Kf72>cKK^}f=hlr0 zFM-C!Mgac3wVtlY%IpBM9v8n>GBq_VhUvDcm^$-8EpK|*rhMc8GD{B(Z5U3myL5Dk z*lOzs-D=^Lk@7t+Mq1jtuv0Aha!6qwQdi)2TxFjLm1L2|e67-o-QSjBp`i^^c5XJf zXGkXDEMUDjnvz8wQQiB)i~V_2@cu0=m2Cc;j=}b5X0zFj7{O=#q3P+D0s;cwt7a2v zX=%yvj4TY7vO{X-x&HaIpnSZkgnPAmt&Xy17@!NFzq!hM)Fgxh6Nu_^!7;9X`ooxg z_WjvY-2&2lPZE=pleausQa(8tM~q>K6>O1k)-nUFQ|Zs8gR3 zYgAyOq^EGL=UxsZf4Q;=2nr@3}Q~9aF%Hg4qPgAj#gdk zFSD`+<>%*b`9xtb)ImrAMm}oSObW@-6Q>!HnY^On7Rfap<$HtCY*()6tUnlqOQt@k zvKv@+B)vM*_5%3;)2_Ifw{O3eS&z_NH<2%1A!n9~yg}B zhp8!X+b~j9RRvhsMlbCPslouVht+6B%+Zn8xc8nevS(mykEh+A2L$XRn`XB2wWK10 z4?v*)Pr6AE^S<`2!pS#=WkxCnqyzw{6-+|!&>bIj{)FjUigkk&QWbwsTYz(+=^M0s$a?_<++le}X-IcNGcqnb+@6~2o^rkmz znF;bL0{{_DD)`@7|Ep+am7lwJni0YzW|=fQJL@PmkS8sk8^WW1yo_Wfkrd?~*`T}8 zOs0SO^CTdQOKh}IrMgsBR+^ETmXCXIK@B$x3H^p{m6PG=$#JWXzOpNFjSz4*Av-y4 zeZL_9XbYr=8?R#I6lzH!^p5FKwqO%( z4H-wr?hjdhstiURqoX>2WpA`aF?PZ6QczWWg{`vp^F3bDzyDS+4A6yu`=-g?oh4W0 zo_fKtYS&!-dLLx{AevFp(uR!L@Lu*yygUS#!m)CMna5o%dKxL3$-ZB^H!f~`UBs`bh!0|ll+@As zZ9Sg@)8C&hnoZ+%U6ir51NrnR;;v7d0tvnTF6IIdaDWw{8Ih8bN`(;n9B^`p{mh+` z($b!p;VQ|K{TU>H`5w(Mn>>A*+Gh+XeDOyn0i07@1E}2Oc0+=KHoo7Ou!CAuz-`^& z1mI$dhLVMag_*9x_eG}?_pPUJS)pNJEKtNlK3|`U*N+oX$b@P6mMU4@(GrYe_TEOw ziPqrNTQEj?D6R9g%UAQICm6+?)+4zoDDoovpYvd*FT=l)at}!WjdYLxth@LnB+#Y0 z&(o)RZQesb4*=@Ujt+xw3H*UDEC6x`=?-gj;x63Yhr8Jtg?h-81qKGL1EeZ>`u&0w zREH`mNWw(B!7PMAtpn8(>};dwimCr1bO z6Zp^oERkR`D5z2JBo=bf790W9S`TL^RuaTrd60rSqSofHk$~CcXn%uSx9ZK_xaV5U zAE+j)DyL$zvka*6ikR42I6hl2vSRqIRPS9al}kQQRU&h?I9e&7 zBC&x7a13+p+6#_HIqSP4wp36S0K9I8FI|M4jts-z-rj4olN|{l06J3_78WR%kgSA+ zbBJ|VSW_f{Kz02Z3W*|zIR!EXkp|zBtu#ju8^|%Qq|M$_QRG?aLBhvPnE#%X=6pK* z6#qtB0!&#CGAEE{THv50L2PKt*R3v-PufasJ+=}^#GQv4gRA)Dky#v1=kQZ|_?v?* zY!aNdpKw~=Le%WbR;1m6wNBaC*U)os1t4;6BHPj@K(t3EdqdP_1vcNOZ@=}jOh3t@309A56H^NB~Bc# zx&lrV%JDh=`*eSO%1lxPaG{cpPBNfislvZeOp?!`Fr%&Vgux{5b;D z&X8V6xXbL_&miGe)G`yd>)8u|iR$9TrNkdc+ghW!$|+Fxt=UpiQAtjeqH)h4vl8z{ z7T;xhCz8(4N_a#ot!Eg{Xg5-e^24d*173v>3TxyGfD35$f;!dA+IQx~jkl0N6JNeO z_oz@$(y^V+ zLW21jG6u~*mJv|Rn$bJ{-u?j51cSy%N~XZ9Z>=|zr#YusQ&7Z&%ibOZ-uKGn@_22M z^+?$UoG7ExVTsZgz!s~S{9}^mBKsC4jJ-D=X~jJ@DcjtdbExbVD;~-V2>7~tt;KV# zwjJQEimEDQn%5>_SXh{;N8M(}l--+(iKnH8r4~{K6fv8!g}-3{bN7LV=+V6Ww|}Iy zyY~dxwRpE97%&uyQz`6^BB279ai|ap_-%KnHkW@>8Zw#YfGF)X$jccya{)Uj$^h6fMz^q8Rd;Vf3VbqfbTsniE~ zS=pMK|1TeI9$NiB)H$m6ihXQk*PIc21Z)#St+@IwB(hRaNb|S7Oia9Y>sA0;EXg^d zh1hT7wVrv}<)7-i&LOYIpo%RAc_3}itX;>$-&SDf&rXve!-ulu! zb@gZFf0D-ZwSTWTEu2HKT|IA1eyv35pT5zO1WJd(%a|CnA7NBOU?A-<+rKePEB$*v zeQz^=BZXWU6fE%L_6T8<2~8Fk7f}_rFzBMR|Ieos*-l8I?wg-C2)6W5R=Jn_$?D}_sEUJ-^I{-cLml@n|ykg%*6WF(C08y;JP=BI_ zIy^KKFA7OZfPeYnZyldW!^$A_=Q%2>M`b}_p>Hn3Wws7gI zVwL}?LX*JBAaD;!rO6`pIDR=YZu~2bexwahge1UX!oi%%NwRqd5m@SjrtB3vSf}$d zCNj|*Rsx3n56&Sf5+_%DSL^0n*8!l`_M?L>d$APM6`W)LznZL4KJ3BFev<6U>u{vE z0MsCrmfd%u!QL`!Z7X5zL}>zw7#UkQLxwz^-yoK!~7si zWCR5Z1xmw2sHd#yFiF^YQ&9<)q|PML5Ks+Le;_3zP&hqx57LEtDc(DiWgI!t&?xz_ zHTaNlG$>qx+zbrj8{`2q@dHR(kKN^a@EyhZThh^?^6u~acpPY;Ze9NUg&1Wv+i5wS zjF0vn{G=1ug>A=4{J5@A2B;*?vx(qn z*x{8OS;3R{mj()s)iPj1@6j0#RoGvaKHjEsoc}fjY(T2_&5DpuQ_cCWJ#2Il zH27FCf5Xc~G(#lIaJ~^xgFGN3_kPsi{ky%`4B+iu5f6qs7^kX3E16;3XFjszQ^%j7 zsH_sh<}=7f;uwVLF#*thUyc&j&qquF)gd+bt9DFJf-`DF3^hNujcKQ8+tvPkGAg-5 zK*lf$gc$O;1Pm=?PCmOy86ZEr^m6|T1j(%*9)CpHJ7j&#EIo4ZrQ6G3eOaJTcVfhiKcmwNTVYQfaf__=U7#dOw}`sW5T za4*{L<<|p&TLY*NQtxx|wVFqY8R7Dk*|2UGj7dIf6rO3If4mfV-2L9IfpPi;{{?k+ z%v?8A9~H;DBj^MvZ!w^meLl&1vEH~54?N0i-daQ^k9HAF0SKRj>@cM40_o&sZ*OmeR9a{#FC3=ir?5#FL>=&qha>2x z^>B@cMIC0(BB&GKkk5Nn+1V!3r%yeahJoOx?&S)DvJE)e&JxoulsSZaG^ zDbcF*bI*mE8$m`tXv~S1TlolvCLQ>pfUpV00CZ}VS<$mJ@J$NmUnj-Z#rd^bYmzh{-)w*{O%QYb zP~SyKA<7GJB^T5Mbc5Cxmtt$8y=z(}E$l*Jp>D5nJmx+Fx<*x@UT{6&lh!rnt~x); z>(vc_0H}@*j%4Lrb|>-7h%}K-`joR3xE@opV*g(AnCq{wH%6(WwdhW19tD^1<#Sd{ zWZk2x9{?y&2XS1v7^<%80s{QI=X&^dOYI-$g%yX`A=29`EBJ)gybK-Y>*`E^fU_Ve zGoaa~^~`GCiTWF2?C{KmzL(x&ZA42Bkj z`z)C!PcB>(wrW5{4gHK)c5E4FM!`QXNlMm!TcV=ahP)0A<(*V|;g#vOoTXkZ{7C>o&iTq~KNYhL(~3H0YBC@>-L zlz;|?u?9%xzCVTV&|;vkk}ydmK(;wt*HW`0rr}04P*amPQe;bCg3uD{hMMn5(~rxB z1%9ljmx}cPGMSl+!WXz(+)IUTT;}dgIdXVGsWBIWQx$DuYWf32$Z^oXN>`bseI!7% zyKY;vafX9~qyNL>2;f&_yV zxRb?+`cthvdSf>zhTZ<;>2n!puZT%?DmP5>2e#Izqzy($KdD76nukW~e=mbyGt-L?4oSpoZ$a z#eo$@Se8_4kc^Q6K>$7cGg}cQ{a#$joAus_`P!rFz((0Q)a#cg0LEk{LX!?BW z^}JP7LBHqt5odX%JQ^s`n5Dw%C=Gq@*zZX<4l8d_#Qe-7kVGK>$8UdsA2TvDGXuhB zZmyEN{Mq8-VzbX2UPr?~kI=YpIm0oujn&P7Oihfs`{fMwSo7{q@X#ZH{l(lgASgrQ zxnLL9Jv!w{zA%t&)By|xZWv2;GwkE6c6U? zL^O*G(6B&Q(1V)i9MA>?Z*ds?&Q##$^D^M-Nm-99;h&z+hh|#^8Q9bJQa1}55Eh|_ zs+_rO>kiluni!b7DcAZ#M%bmIH*b0#<%+QEA0B!3QulV1XWot8M3@&iR{**vhxG`|i9h2sarN@;ZkaZ} zqv$=`(O7h0&%vr%m&fOLM+12vHVhzXyFh;kjf&c}ZN#W9E?(G1y-ZHNU-0Bhf~aGT znKsl|NS+N`+g%v}zC zB)?vsl5AE!kVeTnb#It~*F_dFqkOapGI2Ao0-<=HP&s{8l+&8K_MC ziFyHEda-HNI(x#hxb0y-nYcjqW2c@!&9P^^jh993X_)YapdxnhW?>_q55Z3W1V zbBU>f#MRdQCC-6pp1+**I1sr>9>TNYHDw={HI{+I7>t{4OkolZ-KgW3urHc z@)7S7FV66$aYr*9O1vPQegA-4_HDn|uNq&34XhzU8{_Bl?5c(gudmd>EEUbQC$fC& z;-iD{hkt%=hO?cGD3h@yQS@7EcqbQu$kudHUKME{sbap$qsQ(7!quAYHR~#&lk^aT zJ;hU|q^U^<>m~*dk7DcD(Yd*~l;ql4kC_Om)JzZKfa_)a;GO~Z&COf4crfb`p>Hx^ zORCiJ&NaivMpc|&$TC=^4l1o*Yb`pj2}YxOMamcjg~4>i>>Uu+kVLN2NFkC*#q-y# zdqEa{2LWBpvM)kjM%=km=~}(kiQu!@)IAfSBBJLv9n*BUpBp}Iv~%?XmcjQi_~C3H z$iyow9j?_AG(61Y*JM57q{Hp@+AGK+oa9bA)XZhjmc4S05u$efUbYvVuoWE$I_%{8 zly2lhfsNVeKI1xc!iH|-dwbW(_gZQI-fuaYVpO#_V1RGp;_fIY5TT+j#J?FGn!DuC z86wMba84(RGD+;2Ald-D3lK}(v(;e~;zDnjrM!lGgF5gDNlE9JPxlF2C%kU}fXu>S zp3yTqx0G4we|ywVz1F|o0qZpJHE0Q{yiw!8DI zEzsR|QIv{iMT^QCo_lL>M;0fFe?F4Q$(STA+cL51HT+#LIkPfky#pY10H<*hl$IVa z?NgXXW#GQV)2vcvv?Dj3Ky#x9&_T?VckkS}4zSy%YLN{D>&0@YPXL5)vOp;ZrJvtx z$?@^o_x6Ol-;R$UUmgKt-Tt&shMIzq0i+97Y3YeAXCEIahlF+nan>BQ1%fC(_XNZUuJm|E z051sfr{g;2Y&BHmpZ6&DU-sr>4_RzrNT&+!^6OBb>@Vdz!r?ySKwK6S5`yI4Pj!Ev zy%o0p5OWzrX?MOi`{%}Xs)ps+-Rt|*MFdmt$6rovlip7fMyh%o1rLv^LuEVzKOI+d z+n+6mm&053xVzqIl|B`;9Ec2I@(6`rHz2tedmp;Y<0|^I(7k=U{<4m#xm?Djaj>(q z6QO6pAf;V9hoS5h+*Rj{1?hSVKn$*_Kuzs~sbb%g1G55tZVcKK)^JsPs^YeoxoQ^? zCm4&s*noI~K&w#%<4ngHsaDA)Pq{CI&AAoL?(hsk-h;8ppf~*{5f($a4i}@E2r$9j z-Mym8*iLTXYUx%5#&VJkSeQyK#qYWbR zZ7`pq64tP9zp73-E{&A)uGMUjf$ESr|C}Pm;dY_AY95lfQ6e911eesTek&Qpip(Wr zF#eZ>gnoJFa-MVkEu7a2B23Rffj0W=mg6Wz{U~;X_wIN<1-vK!IE!1X16Ze zKUQk+vEmhY`mOiv0%qD3YIh*08jf2zL|K70U0$}*P18n0`3&r&VmuEk=&jj`@zZt{ z8b@V*WDT)0u|yL0bhv3Q^L=Zpoj-umNE50i1m;3a$%Rn=*>)loC}eXQR|-NAq6JkB zI%5g+*u&ao&mLmY4>y{SFE{Hp87eaLxO@rY^93Xz)cp$oa}s+63=v=+{E?${@sygK zwq?q$$a+K=Jc&^ITWZ#MiGo#v^Jfm5okiodG8}@fM~@qg`0Vi8O4+=snj0aKYkoGT zK!ITJ*?J@nFyqe;kGU=gn#(+RIesA`)OYc*JZBJ$@%7uc;l)-WMz6hG^zK?wvJBvW z;Ehl)j*H-?1vWM9X2#uaO2TrB-M5VJ8A~BFJHfI1~{!% z<&=lz2i{uHc6^j-6h7^}o(l!XBafgMg+{90887CSDfXSIem=m%?;jmuFhTGw1j#hL zGoyP#BVSJEW@n3ljaL7p(}}DHObEMjvPh<`^C(LV-v@Vq7_C(i{E^|RIREBNF-SRJGg*f=kn6`(2;Ph<;xfYnGDsj-%b z(bD13QPhw}peBuWxs54MKv0~wV*%?zsws9|)7!gm_)B^CA!*U*%`32JVLX5Hn!dKv zH3RFfRpZ7F8`l&LL@MDJQP33Gw6k5vhU_IB!_g%x&3>F`=oF%|IRgp9+VzR#WQI6i z{ceQBgL6$tL1ffi@zjxztexMv;e@xm%5^)&qvf6TOA{()IlsiHP6_K?#Y>#h|8R4&V8osc3f7 z?H6BFnbH(IbAi@trO6KE`alK041Jf844L7tv0R7;BM)kKNP8LZXJC&!$aA3J=z$p5 zq+Mb{_`vSCGEL+on~`)G;^DO$a~?b>Afw2ufeRw@%d_YnGJ95q`xh<^u<-+Rbs8j= zA?AX%ic{uWb_5N<_~n`ns+Y*+%K|KiX6$)2%=j3Z82ig{lKi2D+W=4o616N?6A%IO zu8GMo?+Pb|Is|sDIYL6`^cSKf#VA~O4MFJz@<562GDgZYl7*GE)w{k;3&(>L_agiQ z-#9XOAua~-Gi}{iq)c~itY;yboqH7|Cp4-N=7hJ&XN9MZbMb{Cxa^Rbf+Fl!p>w$W zfzg&L8e?j4{C5YaL}P$=axJkZe%GhN^Mi{+Ud6^{C%%$v!2;{|4PZ2%%Z%Rn5mZz_ z68c#{@x`BgeZwWD5&D(|@0E`mD!A;#X$p$YcXPdb8F1P+QoQh_s9^oMJ4K8m&|uWR zfrLf_)WGSAmR^k`HT(5M?inS;Ml3!tO~qOZu1f>qZl}xg>y=6FAsXK&+8dnJW6I#2 zMroe)3NU01rb-rlm+_8X(EJ>TS0<2&G~?uQ>WMiovlE@DNH-Q08EC`1i$+#_3KV6( z(n3t`6}JA3=f_o2mBuBib=wdq**dV9)}st4Bgmh#HP))2YppcnT0z8QK0`u>YB)2= zWx%k`5-dtrX4vu3&;J3`D*4+5T9wFepv7(&a|*7xaqB|td}7ixz#~N;`=LkQ|nHTNVIJNznh>5LatVzNu;*UPO@U**aC(1-5ZSnJpP2Is$ zaBc^hYPBS6?y<<~HHs}B`W-i<1{{9s`~B;qMl=i-;f^l|TP-YIm&?KdxJtAH{wRbs zw$sO5wG9#i+Sg&ag|Mlq=?K&nwKI?-@ETe!UbV>XED9JN?c;`$pi$R#Y%U3hD+8+F zpGAhZ5$`)^fRW@9^`a4W+7K6t}lT)dI4{pt%8d3cEZ6$&W+n{AFS-0$6g*EmE9CIv&tX`i3{`bzNl zYaaAM07H}uy1$=z|5Fo_BGWD!WRzgF0w*v5T=4ANTrusC=WqT1`@M?62F4*`&rxH- z{K-{f9+D8z;mdmaH`{N9lTWj-u=K;i!z>~xIP=a6^Zxe~P<-}8F(#Y0w zT8j<3FOO$phP3Ud+)uoYk9yReJfeSe$yM7jw-u^~Tt6lh08UUJ)C%=d!0hi+9f7FzFlhccBu+=pm+uCncXIB!BwH!E`jG$S646Txhb|YwnS*pa$mU; z2(=inlCzaU=DmJ!=BdtSm3LsKnLT!5h&~n(j0MX6t$g*GDC9To02@YCJ&HlJ36d9@ zkF>|zyx79rfF03dkQy~1A>sOm2RwJ6(F5Fy*}zvLq*dt{_*sznp5YDb#qwz7YoM%m zXHsXE)uv=5f}fmEN$6%u&ln41dGVU6Y^9yC!!g`~`N9PSh;R{j8!%JP20sFT6Vnkli4SjGFsSebgo_KCPk((7}uM2Un;5gf# z(j8Rgj-4lYI1%JIT{Bkk{9xFlb;U&-P-`w=aKzv4(PH`QL-r*e%p9m8YMNws8`EsL z{7$ZF3pX6!xd$8vqyWU;gT|Mf#=g$u=6gXhKp6pkkT~!SYfa_ghzM2a+qY7ut^hbk zW(N>a5wJeU_5zAQ#OFu^@XE}s$NnZHq<$us$|9To8j_6otuzQ<+Tykbd*-dzY)Z&3 z0{?v$Y=2M!)4=6-J@1}uiw3fxh_Z%_R2=FP3BUc8&3cCzWq?;~52U+ayX9NU?@anM z7O|Bfsux%|N=QDukpZ*yEnu`QMk|WVlK6vx11<&rzQ-Dj!VFzKW~@ae>AKD&*Zk%y zLR$6B*Qy$e$TbP_TfN8j^8%hfhd<+ov$Hh{!gwa(h-}s^fHC2`s8c_#^ayz^{ z0ISw+2-~rwOx(n;U0C8q$OzcU*?ekYNcT})EwG*_pb-(f5gg?<2xLP=K9U5wJo7k? z{?BCCNml%d97+DL^Ks+S;O6S>o0gAQ{Qk^=fPL8d2$X{Iw@~UXh>4KOrWHM&b74%m z0kZ>-X}mmN!xkc*VqwB}krbl;)6Q3{PRm0-A|5NaQ^CFie#c^>P7(!l5*Ao|QvjXZ zPdvMh`sJD1yzp%0Hgf%^?=SP zhDur&)J)UYE*xxUo_YT0i~+er4~f2=sldVr;xzOZYvxGP(Sd3x3POH;iv(cAqBTe>o4Qd0Gj|CS$-U z2Dp8*)4bXI@pMCHz(|L*7eTc!K>S!i4%Es z^8(*5Hi@up4*Sebzb|#E?hlWY)Ob%T_+*SCr@#k@+wiLwe@ain4X@%th5l_IEp&I@ zb%_=ahxSh4oVuD;5i3_6p{HghazQ$W(U!;#Kf1uzBDlxDvy8N zc3c9`JXVjXAa4)%v&FpLCu^unzNJY|EVUz@nm3T~Kr<4YTD*q1l!ppSB^sKy5e0dK z*Tm3>B1S-zfebO!qI6#9KA^cA(%kT?Wh~;PTYPQOPDH`o57bTttJ zTEn5_AN1i-cX25*n|J9Om9e8w<*t}yXz)Ef)OT>;u_9E=V<;(&NK5~c<&D9_rXYAX z$a430RPJ+u3Ev=*tudiw)z_gNt#6@w1#IvM^3N?E?7l8fJadN10%7-mX5BOOk>W^0 z5(p@e;bYP^qayH+>Hl4yUht6Q0cjj(Z`d=sRxSpFc5!6HlP}L=UcQ_x7n9AJ7I9m@ zl;*ulkNTv}v)2x~safR}AnGDYs-G?-Bc6 z$y3q0MGjF0O~zgxK3v$dWyzQE@bQ1ZOKGXvvYa`fVq65&c2DrZ7&*Qg!E1B775fb^ zjBEhg*i0@LDh+kT>sPN3gFYgBKw9!UBsJBZbhtzo(R_a5G84{r^E=#N{04{7=5eGU ztNvt%7ip=12rdUH9;`E057}8UlrqTKjR+5a2W1n|J(Yf2yhFumrf-XY@i)4{vnTW2 zJ1-9#iaa-@)P%V5XSLI2Zd02P)^^!*=)2*XhT>=Ozt4+0r3*|GTztW z=dTMg7tZ?%s z2FOPW8Q@BSLD3x=P7pX9PBErlfW-;s4@P?YP;mAe($Ws(DlLnwzidERu?cQN%cvJb zh>;aa*dpkXgOwP97J-;!dznX*s+Z73JewCHrxA#+I+&TLS;iM^`yxs5}R5S_xl7LZC`F2ZnkO zx~YH`!e#4l8@RH^-ZyIC0u{qh16XTzZkmWX!;V4NAO!6L8w44R=ek7_>3d?qHpXw3 z4jaJ2aC1}o%TBt|{j?|8QEIR;0OkNO{6ROYu@(&in}JG2z&%7&$YRumgI6%qmIy}$ z#@L@QV93FDdK(L*mgLC44iU+KV+O3r8=azZSw;?GDXCh0O2)W`K0IeHebbHjGCo~@ zdd!PxUBXH8X{1hxiHXow^a`0aXjKJV6VUZ|+ac_a3~oBbOOn6?C$?Lzn$ZN){!9&o zBqRRU8iXg)`K^9`4g=DQAId103S@`?DUq%|2&x}LbY;J?Lg*6&=6i;0fnK{)#hlbs z@_Zj1NDio8kbg=f<3rWlz~W*E+a|%_xyAJ9_|~nQutqC>Xr)R4#4rf zbna^`w|-qR^iQPxxJ|ZdxJ2rAWz@gsLo}|tMN^Ua89}c7znV7rtfR9Lnt&#{BM8N2!b^)6FCZWxP_CPeG*p#`6TC3oGk6D*g;5F=7Fs}ky z$h_afilK&{Dg!W-`-z{Un#KkwQ%`^Dd}6r)p`i~-!o9Eb(>FlFMbIFSDWKG}0Gorf z%KcVrW^8$V_M42}+Yg$b&pe^^(xn@6og`bP&)qHp&KNti;sPO44gl{0xQW3@{4<#l zL-`U8<4^EvBRz`Wpoi15E$%w`!fwF$7C@K9DiMmxt6SI}GpKwM&do55Ga1}Bem-n9 z^u>}Ep3a5#@DrZApWx&I6Y5)-K0e5ANQ207bnDpd)cXe{v)LRxMYipdS5Auh7U_SU zLY{g6D5T1DO}S977J61=rPL^6{4)G_ViiDhPP}28dMLJC#n{N1Y03H`BK^6xB=$T- z<%2dlMEl=6zH=tvSf_Uw@43Z79nCS&;<=zL{7Ko4fnbaDbptkT1An!|$Zb1<&9;id z%h4YV{A&br33hMOl})DF*@%P3uMzCxi4yMDf&2u2EVOq8Kghg8TK|h1g9E#}6KUXu zq8?b}V#bjWF0tbK-Nxc&wAwzx4<9~+9_Q@)-7J{cX6W#ME_lhIQ5KO0iFeKjH$lM! zDkmwRpH0_$)W4wx%N->A1Aw&>&4bPM`k7-mt|H_gOfqV&*lRlBhymv~;wRMLF$u10 z#N> zhn_u@9cv|y@%-*|p#R4@Pqy_YCSQ(=rDi=(hoI92nk+;67O&7(;JYzY&_u9l5&`qb zxzD5<(keeXQGI1Jo)Dqw5%C5Z_e4*wsmgL*gLCBcsp=0WDuB$Iz^rahW%3*QLN6H# zC`0V=OoV*4{r3eI_lMPYQN<|815!?b=<@32 zOFsZp(#d~zW=6=@S{y{><>k}iK!W5Gs>TEt*f!^2XryG2{dQUnpUTp%QU|Keu8Ci2 z@`$w_4vM0`r+*8IXfC(Jm?A>%8^?%|pCVc+!7IXb20EFNj;>>RHvyra4xT)f{)^NZ++K%V3x2mgPOc67^0w#1x(PaD_ z8&RSKXHw18&S~(gt*kk4o=^II2kIpB5ElD{v!rRw8vao{ysfS!>!nyIrpf^l!w;}O zaT|{gzVp1-o3WzV)(iiJW``OV9f~}!I38UhzdRcpPlt-WAnJY+Ztb#fJ*{dIV7X^S zmD=~*;TfN6;H#djlQO5J@cpNR&hqV9>xn;|THkFljtJFx51bC#;Mtq{bLw=x#A(mn zdXU~~XgXm`m|8R9OsAI-1K()#wer#FH3!)&N+fT7gky*ry1sYYr@NJzPntmc=>-(< z*fskzVe;8!K!i`43|&(pl2&^lvsbsUV2<2>0H^4j{6pTV!7Kw!O}kS>)fN-`UAPk} zKbPglBm=%z@KFkaBnI6-ed#xGQz43BsNT>SBSJHr2;^x9i36W>m)bvc6@rTiAZ9=i z%ffnhgp^+IREj1YVs`?XU?qr1E~`WgKq6A&YM%LUQ2mzp96{T4aIB;~Cm{b@{gwy| z^@ahs|5089-0Jf6<`Mi}8g{2q;;WOet@kV?F{#v~E(iZW5wyM)LGjxb&D;Ya zzXSSJRxJd4j@*z2A+R%%BE4_`Spnj(f?GK{HeNrd7Q(7?7w?@Zeu#cPKiVl{zFPm2 z@F-+n>MK_AHOf>R+B|vkR$npiJvikDmS}+ySAM6TVuq|;@B^r5lwPs7% zH=Y#}n}FkiLcqkJjw30!*{*PKgdt5P(8y2>P^4kZ^W-a6;d=ig6?>q&f0URiB0Wsd zj&uO#qhlTK12wvwmG<3$%WF;KvmMPoR^)cqw~-A1wu0)lz`x~D5vqK}V-Qb|wD01Z zYSBOebru9@W|X4;puZ_yGN{uIMw-D>LZcJne&CyozRTn;tC$rYs*lVSVC!U%JB#5^ zpb(Zm0H2tS&j5uQDYrF)3y12pXDa~;a*yqWM#L*HU_1{URDgIfH$?N`8u|;gX}c;U z(1*8%qE{QQ2Lq6N2%QhS>L7c^u=jg-?z+&vd~C<1w*RF(-jiqFu5ruoxm${<)+ltW z)qp?j3LBdPNdid?5qHze%yge%29gNAn(#x011fd2b#*!%vkZ!>|VDMA9O!qgP;9v{*j;P;@P?*1^1Ubpk=Xdn%Y_Mw93@*?T zbJyJ5o#_+w?1aH4NQB}F`1Dy2O|n6fK>#u=1$1ZO^_cKA(5J0lFb+R%aqWNq@aUk& zch}1sJQRNbGYPAtC;x%k8XA15cQ02r(uqu{^t`Z_ra@$yDCj2HW6bqksHR z4wTR!)tSP50zmIZx{wf>EDpEJUWKri;kH0J`rLA65fh1o<5zF}POh_aOa9Icd6r** z4@0`yfSi|sE_L#cloT8(Fy@0L{nM{hDiTv#uB8xh5RwaS@^BqYPDnjo;rUY~g;hdQ z@;Fj&=N35KJRH@+VZ;a(V`C$%-pz8q6)J!TrMKDOD^FR7LG$2%c>`iqkw|8yjmTK#|<{JS1BnkzNFLS6mc(i*yU5k3_HHDxdMD zh>4gZ{6fp`nms|?|LIHCadQa}OXfGhEaWyDb64}rGivG6BLSp!8^~~_hMa)1Uwnc% z7p9nqn4c&IH(_bEU)ge0m?oD=!}k27Tm2KF;*)Zl7h^WkTbH1}=MGxZ5Ak^d{$4{^ zWMO`}T$+e!P;@xkr z!RF9%(a6YX)YU=3il%}j^*43zG4Iu@q2O2h0k4nZPKu>oZ97;UC%4Ll{lp((a5kag+ zVv7XsE_4Z8a96Hev4eVeYq_+?@Z# zTa~U~>V=Jb#EivL58^|WvN2NWK_@HeJJIfo>NRBkx@=knFXhZq&;|JnV8pKbR^*>&sRf&tIHMe(DcjAKDZojhQ^}YfSoVxU2V&YeFF7B!?Pwlqq=>QA%8d&vPS`ZoZ7WjS; zi3xZGW4I9ra=Z%~)D1WvFyGcr$EWoj^WX{oQel=nVgI`hKC2JzwNd4?cnf?U+k5J= zoPyAgfdhNb6gbDB60+1SW2^SDwOdI-mg?%JVe+iMpteF(v@bm%Q2FVc(GkNP@Nq4E zo0REAOh&e=Q+)!PqXh2i0e<8jsFXFUT?)*u9_@jXEgt==dy7B_x0$y=A-p?m=$#xf zWaMt-Rzk3jHCusMx8V3Ng132c`(|UDsXcUI_SLvMNV$NrX0E@~`m|kCv%X(_ios2|oNGJCc6`>EC9^vAU za{IgiVK2^YX$AeN6~18lh9~RXS2W?x&@`x0?{gfkE2TcGrkwjaH_hkmbAq1n%In^L zo$8J@6~9mN&LPcD{!K5fyF~GL?s62MV&P^5{0_77R@zn~ z7sXjdC#b0}6If}FJ%1ZQdT}0W)S?d~2LZw9Pk-k`wmkj~&|<-YA4XVsbBEK6r(B~} z0rO)@NaU@fA6VF~J1snrR^xCu39pur&r;=F-r!hfYEQ9N3okUu41m(C%N;1Q0s^{vDB2%!)Jj%I`v=9XnXk_?& znP&e}pkE+5)%aM%ZW0AAZ5Re&XqA!13h36sZHP-F?LL~mD7INVhebW8_wm+$!-k2~ z1b$}hHA7`X8D{;&X+(Xf0UtVJ(*b6k@Z6QQz=KC&%kGM2q6Sa*L;s}8FyM%Eg={zW^r7+%#ewJ3s5n!-5vLrHCxt zLc#a{(DmK%SikSvx6%+P$*81Kkxe1WXdo+Epg}-|zc+U*kNF^Ei$Z3E~DzgdwhQJD|KxY2NX)R&UtI zLM-2eCR_0dXF6W-UgUi{PgizUoT|Wwsr^Gq>-?9N%of|43rN8qJsH!R)&Njl0|^E zcP34$v0<;9bZcY&V{8Q^szSkr=k5l%f|F!evdr_FWpetNWG-Y}NE6(%r-Tc-pRL1? zrvVD1tj^v#*JmL;xT+Dl42P21%PKr`wSx%a%Sioa-GVVaXJ;*!Olz*Fqc5j|cy#g`mVv}@SP@@?9K zOX{!%Kr~!7ILH!M^#cVfVy6L3*5kyi7%QCyTIq|0W~USMQ`P`4fY#W4qWieuMV{WB z*hAvE={m$Jd=1;Sj-7{-ru*xQDXpKLkNvW+Y4qlj(Xvr(KiT#JlC&Fk3<)Zr=-(I! zH$hP&#_Y!R)^FqXUn(p#-fy~4nrMsHB;E@6m4dSgK66A1^a>X`=)i9b$vz@71W z<%d@F-)~NRWpv)+dJ>(<* zQM=UC?YB$CVAP!;yZ}AyUcg~BK&MMT$d_!{xy#YYGBfQUAD$3>3k&|Z%BM<((bX#WrcWukKeNu@v;ixegtIuwoo#EcMK{)S?OLl9BKJ4etues-e#6f`;Dns} z_s7-L^Qy5S_{n^&nfXei)yHSP3W^J5L>lRA%-Kwxf2XaqtxBtMuEBf+vfIg4Thx{K zQAZ)Ar|9T2hAMlH?4PT+`bXf^cfK9Zo~(lPCsB;ZCCJu_yuS| zPoJf3To<^x;ZZ?>Xirp7g&)hKB1mOm*$r3=oZYtHJfa$XKu4)ApMfEpG$Iks}dsP;yB>!N4%*X>&&U z&py~@uIX_Va+H~gjIP`H_066=uL8MZ&3nZsQ7Z^EggF9JKJvS7-oXmSD4~KV`CglZU6uj|l;OVJ)Q`M)kq#4&(^>yGtdtHV_HW)TrN7>COR0G z-ZtW3Dddx9d)iiNIu*Obv=>E8TN3rvqID zHxJ>d852`A)irC@*uuw&a@kU%UT>!0P6Y*SA8!N(85rLD0gAg#%K5DccUIlTwF?f} z&<16;{A|Cxd$u>C2X;Luse(HK>x0J|1Z>>*$}T3y>e;Pvn0y72CFS!$f#?;zo1Wx9 zX4^j$#A1!naf%X-B%*$OZZDtry{td&E?-hkGl!ItV2#*t8DDztqt1y-o%WnwXo_e^ zDDm*1AG~J~5}>+qEut;^GYT4K@`B=uS5h`lK6%XP+aNmBdzwgVCOoIkkFTI6=a!&Y zB?Co@m_^v%y*SD|31f?=dwPxb&pu9Cr&~a@{mV*C(fn<);yGWLtMJ=xg$|Gec)xI_*lASd5!Y3YMMPi($a z!4FO9P(%E~`e86se&R6oXOno0aLi1$DGtk)N<#bZpA5`MbCIy^=dPoSHUMCE5Wfcz zEYD`L;@}3uoG-}1@c}DNE(-_}PV{@V2OZ8-N*TG&dFoh%7@+b-3g2^Ullva)|auL0!3^e-zY@^i0YcQRP?*FLlx{5_qMfObkg@*hV|0?Td{;oKntin zf-ipfrBzb&Asa~E@NBcb33g!5wQ@FcKYr2BY~anb&-M39ZhvV~nCqW3vsx$SbBs;u zHP@ZbkM|H6*x}9_FLCSyD}VfRKv_1HO#s}p9-NLLKx>nKr%x9{1F zZr=5*uj`KMZs{YwudVx}CP8-`~Hd+AfD`?$JEF z81#b!RyI%le)mWr4xW;9Xp@8TegazI@y?>;K@vE6iHy zWCdBC$4K06T-<4@@!siPSo)Gqi-lwBxA$8-i1i;}u7z9&ahmjeSec zIoIb`{#4p9w11S5fm;!Vw(l3GXeqT@^5%25uW-AL!5EMi43sH*Q8hiRP@nlqVn>L& z*y}ALz2C|u2AAfapSHsTL-4g+v8NiJeXi~RE}NiZG*UmE*MO+Ikp?h_A9J{I9V31C zOHWe*v*wQYhEE8vhsNzhm!>J*B*Io#tr2%6qL4#8PY-Cf!oYRt#y2)@f&3Oxo{P z)BE`*-A7^DU(_XAz;R$WE-+>ubzPOQl&K=4yK_KOmO2;Qhr1?f>>y3K!$-Fl87D>d zRO5ub=rYUBv1NA1bUa{JD5J5LNX_wDh)S3+0rpUwL~1z&Mi#xZqf@oQdLF!Lp}2yr zMtq-NJmiLjz#f$F28%j2Od0LJU1D|gkCf0r@5+F3KSC!CHF>b?%KsA__D*T#IwS>; zXBjyq1=kyA+2J^mTv?pPq2N6F9sA@U56rUcyG-kDU4MMP%2-v;*>QMIzE6kT%OENv zI*=*%N=ZGNx8W+KbuK9UiAyQ-J_>l~2eg3R(g`4hMbpyI>=6;!>M>Ga>EGW5t`8yA7zA>T?X&3_s%$>mn zsjaHckW?0DuWTP3G+P`$HXuL&(tP{6@RK@)I7IRsy~Yr_bYmZ+ZdXp+ufdfEe9eOcyHQGJ@{MT_4ei1{|EmE^_^5d!8P$~UE;ndf za+h}uxWT}X7+n#%yuYyYF1zSp7yrUj?bS(GnYHnQA@`AF%9bhn3m43MRVFCyuz~8B zY1FNA%8Ac-=f0Y^sMFeKnAEfDIse?R`%nNoR0Hayz?A$-(j;z$cMTIiWpK1%Y(rC> z;j=zrxMA8_Rr`JkF`XgS=?(VEACZZ0^zJ7rZ{Tkqu5M#D3zxf+Hh#kHO4{E@vFZsF zT!ewgML*M)mFe_>B=^~sjphlA_}ziu;mKdA#=?u7S(u;a)j%=Ioacve-R>cH+YA`GT(i<85S1n+Nu^Y=w7)?TVu ze%VGtPd|`e!QL=3YIknyXJsTo^Y2&w$`D>2%;g~8T-_aR64iqO!yBRtK1Lk<(oteK zG3q7rw(`S3#rtY8+A-@ux!1L%@<4WV1Vt) zr@C+o-3~E-l>Gi+vmVErPUgH{3P3Ty1K0-RmMy(4osdMqEl*13A}7b~ZlE6puwbFI zHwt;ruV0zF)O_E@)@U#00TJ@Rm|>DQXsDUCJGNOuvBd7p8?B$?s$7&gqH$<4RPvO- zd#gXp@x0OCV%gxX;ln4O`Gqp^)tLlo#iq?N#~`Oos!b3;cgkTtj)K{5+HCOCU%0?F zlfWo$ePZF;r#LsJb>ZRR z`ASJ!;!Zb(q6YJ)4IC^=RE1k{{y#?~Y+~V*tJ60)`1d&n1I<<#o=wz*xSeXS7@?ZE zZLbkTJcYe}i%u;bGyE=is_r<@k!=!o`zSl+;?o?*1>I7IdQ&?7(mwqfLJAuTyai48m0h-?c&tVyj zeN2I?oM}K`0LV`qzzKyO8r~<*p4FlPJ_PUT@JM@jbCD`FXg&cz+lZwoG>1}u1BCtA zr6N$a1r~vh8C<}o`JZUX_Ko-p{|i$PO8m)<_{#K69522>xZo@(%%P;(pH6c14s z<}|BuYmCWaO55KZ=5y~(Q6wjdSCbwC@Fe2lSu?W*oX>w4pu@sI>sQqI?OTjP8DMG& zQEV~x7y_l-S2-g5|D`f;iQZpNYB@mb7%dJtyk?lED!dgSdB@TVNELjBhd~JeCuI8( zhXenZ0_MMKOh%*hmvp}53YVuj)(a-L{D^uoj4i+j#=35)N<0VG%%~CC6Oft~u0d?P zY}nw9L4gDQ?F$w=I5VdK)l<#UmO+W|0SzTSlJYk~odIsSOo$e^=^qO z#Y>N({Up})9DlU6e>o;S%@HAjem*t_;?Ybsm(`x+B)EPkP`8}*+lXdyYvI@?M&gBb zEybSOzP~#q&V6>gD;i5M9WsN~9P2Ys1O+aECi1&A7arjsE@fWd#=5rib@~+ z75Xrn*IWi<4L-^H%87;l%V`+CS#tD(m6bqlE?4taX~&VU=3%CUWJ#*R#M1iU$o#%U zda+#_4G{+zJNiC=gQ2Na{-_w}-`21Q`8CI1#>$m4?0{w!?x7d4CNJah? z9E&m<`-5+DwQ)Xw4CUOoqae{2n$kJ(p2Yu@Qa$ zYH?HD9F5|COWv{8z&^r-{k6=}&oe|?Pwpq}Mq9yq)%`rb2S&{sbOl(TzW9Nq9)k_0 z-F;=L9g#cH+Hrp!n_&?&Qb`xQhBT)a*?3eNPOt*4Oa`=6zzeJdy^ zet%UD+i4LYx1jM!J;g#vyK1UYlS;U~gS8ajMAmwJ6xb@lXmPM_0=k9+s}!l0 z*vMjs1n3LE4b0>kz6s)(|Wa$p-!Hu4KEMeeDqA5!cm{8yn+|jl!Y)Z=VQJ6$}y1ICI zWNLa#-uoD*BC^N=j|szs<@||-gBM4melf1M_h>VcLRwt2Rr{0=x>zo&dG}fo>oVPQ?qPj$!gk7+E$da5|UQ=5;t|*NzAKR2CzauE{>$Wcu!c1hk40&p1HT>@!43WkKBM=PldRo%QTslhgQnSmNM=ag=Sx zsoo7lm`m>3;4`o7Q4~kVwn=h=g1udWkO5Gi={e)Rz=#=T0O1GO50(Ya$S%f0LkT3- z_CRyFwdw6Pzh!N$_1^ZDcEFc6jtdy-&#`+}fpnUxO_x+gHyEwM+=f%TZyJoh78NYF>Kas!SIdNdX=Y z7S9IyP(Q}GVgG4==%XKR=P#e6E}zfm5L(M=;j_EK)D};FM(hLPJksY9f&7t!^>n|K z9Tyc+_YM|3415}0`*^g0YEESmaLcq=07vHwd<+~%U%!5>`(6aQRNXfm90(j?S?Jqg zW%B9vX69FG5Q5|1Ou%F?Lnct)cME5v#DP4~(p=H~dp~DD;>>ZAPPJq|KG{ zC?AiZ1at89*|MWEsVQ4QzcdEt4b+>)%u%rWB>(h1nHg-LG$aN_O8d68DK%wg&Ne z2dpIfmi2o-9}`%;qRFTjQYw%0A$K&p%~jtMD{Y%8N<4@=)?U6j%%}5eX1}^l`Nt`B zr-y%WtU%Xj8vgBoT{`x87=KpcFk!{M3h*Z$pPH~A2_+vlZy{fjfo3xqLfmCf?|bPz z3PR^MgdCoZTd{PCJ_?^d(*Gs22XA=K9wFQLEVBzF1*<3#jYFdfn~kUJ>DBNYQIGFZ zKVWA&Gd9W=dE|VikAf{Igw-$Imk$y8n7%dbOVi}LuhQwGBV9^+b{Dk_ET8R0`VUhZ07a2gAh~O9hiKx~mASfpy9~E3>wozkn8EtN+;%06clG><#sMq^ zjyCv$$U!VHgq9$9qdU<&$S@tjVj;GB25Iwi5ef&VtCpQ-jBbwEZ{w@~L%e1aiHYX- z@0XB@XAD+`7`BZ{WZVN>3+0NlSGgbcku@`hi?eUs`$1Bhbu9!64bWE>c6C@-#=xEn zrmA?|lFrDkdSa|8iIbA>=1OzLI<>U3n_uSB6%>j+#zRN|Dp2yiZ@i|?d4!zC%*eBV zp3oKl-r|*OEt9t0g9J}$LS6dKoOXM*e)c20To56<|13b<`5b^OVcwIwMcxqo=+-Us zo|Rp75jz4xvOQ2?2X8A`e5B==`BAlPTUC|+W%Q3B1xSRn#*PBy%(cbl4VN{Q0bhT^ zwkred9QY#~J+0oszB+99l*E_3QZ$l?UU0lcy+MBY2^iMm*>Inrb%fx8JaTQfAAgU9 zgxTDJL^fO2bpJOS3P=#o_ctMw|4NK3K^`|w7$r(B*o>AhxdeRw z=cvj?Eg_m={o#E*NH(^e73U}@;AN(KojQz)4_F5Ms%?v(nseB0_d}tO=?~=`Ui~1f zo!k>FRd+J*s<9u4A$1q_#jcg5UGQ-4C9Mhi?Y_WXwtg8$Vj$G$?^ns~>(=~F0T=Wl z#rpK=N%`@OGAq}NsDDa0A}%6&yH~&J=c~<+%f=rYB(7 z+4I$xb3H8;oEML_*f4l0Dge0^Im-#3nnP_F6vBeSuGp_&5FXdzWi}v9;o2xbG^FD}9Kqh&lgEsE6Xs ze~!(Moj)tLa;ZgPAnd^8S~W5GYJKFOaPaNYemA;eq;m0kRG7|z8=(3?fmAnxu!?tG zZxC1V67UwfRa!5|XhtCv{Jn%MSLGN9n&*AX2O zQVtTwtxJLGTOrp$+loSpYo^plHP*gKe+TpAr0e!uTQYxM{b^Ik~*OQcHmOQakD zvg9uHeMQ78=*?ROZdJrtQiVgx^jl?i{C&K7&lQRG!a?*6`u*Pz3;A6f>4R5yMDsgX zTeT!M{<8py0++~4JD2O@V&Y2)tHp#-X#WCAZRuGy`$gXCuo@(08kd(ldsiqK_T=+V-|rxG zF+g=zI$4D$g7i+n8TrWV#eDazZqH}HGQe9LFRj9pvSqsnfCg;qAlTo?LrNhen1}L! zSik*2FOPTVBZ{yy=you##;R`rWYCaIu56^h+pWj%aqJz$G?MWKzwqH<#r|O()4yw# z;f{$WrZ>TaZ4A~hj(a`Qd8GccIs~Kq+G{-yCCU?@VWw=R+_TW~aA%zc+;i*fzrUV; z`f9bbABgLb>6T!zle`Ppgf5HmwK!65;aZ-9&v53=JKjX*w5jA#opX~O`8iS`KRkNW z>s{&>6pL*LM+ivAJ(*(<0|Nf-E4CN@cUG7PU#Wa#I9CXqfmld;xQyDzH~f5=SjK|8 zaT+*4YPXHbC5QA;l}mK^RyDHnpPh(#bDcLN_2{s04N?Hq`lNp?-ps|Mapg)MDFA0;xSn2ciK?V$EIVEj2OYi$79MJd+Z5#?4YZt?4Pw8l zfYWZO`9t0?xG-&`n5cBvyQvtoeW-w&J-&1fAnGO!T44W1fs^Q%X6AR+mspgKz;y}X z(_E!<>DU=X#XT}I?^VpmH3B3(j*BEAIoWNAG6%&?T;J+{tx`qJ`UZ!~v{8$eb95Br zgk{y0S-9r%W*p%>;Eyy8H&EA$IO*el$i-vGNDCwa1rndKnn;N!JQorvW6#I2W@3PW zTXVC$81qTco|-a?&*Ymk`Yhx`u7M#}94!)de_pe09qF_5EPV+X(c~>*wX105xIVIL z;`fQVusrHr?KSB1Ir|*>7QS?Z*34vvp_?130bFR3K&6DbYybXT8xFK3orD`F z4URdgqL71z4?~1FGvlC~74vlU?^_YI112_Dz zc>lBYDD)!}@JDL`g0Ca(-$=U6;*h{w5hjZWtY?Ul0Hw*l`6{^zq&PJ{`GeJE=qCRg z$0Hh7uKP=Q0$a_5-}k>`4D&hoUg~kdazt03!1{($sW>U#APhCe4uswXcgUuTZZPxt zvXgiEt3y|JCu{9U_M0!L%IHbfdKy!DRI|ucf*gZt|NZQmuh$i_5>-7kI^FQw|1m7B1bZI3W4zzr%3$m|!_>4q63DP(Uc&jc!Qj0#s3d z!S`^kjsSA~A4R*E+$Sq|*AF2bMxdiRGx_gk#o7VA_5%4#T>SfVR)-bW!Gm8PGWq6= zw&ym0)XTqKLpBRms=P0@mov*=y~>FimfmY1!T91~)V-^RN;ElmpqZhN4@~5wCZ02Z z6w7z@`?8>E4>Lt0c>Cq)4<;AHcBEEr|9)tWK%Ib41eU}8?Fnk82*r%B$;lPrq-tAI z_YDdLd`ER7Zm!@FZ^riDHMdCXN%M-WWKREESgaVG2`3u0@(m~7@^aLfS2*0OV3x@K z&sgMs6&+GDy$LId*T2_lc>cX~uWN3r zZNpb=?|DcJx%v4wQZ&HOx~puu5#>fhH2j6EWqox<+Ehk;=Vx|*nhmSrgWh32d*A2A zNj<&J|7=cOMB~W4ckgNnBb%-2D8}I`iQ5sT`wOq-ox724sk?_k4wBw22bA&_+#`!ER?obql8a@@A5E? zm5|rnVJ$5mb>dNRTqh8kRHiqD@ErAf*MD72BEgyF*&p9P(|36eIEzP5qA2V&N} zMp@7h0H)-W4{`HB%=F~ZBM7v_5wl+bX1mOr!FF`p=jv{aV_;2g@u=G$L#S2KugM*` z|I&lq0~$xt>FXWJuYMN)Z};{P@hj)*>ZU-wD;4dB>AQ}WR;xtq*CKc*BlmX&t^l+p zV3o6n1PqOGIvjTpatIKUs8LW|Z}u~hC_6QO>+vPCtQhC{P95Oq$7Jck{=9Mx|S0hb3*4Sz6fPG}huI22685bglMDXb|M&ClD{$ z)ADo4;{hlM)Q>P9@JICi9hc35H-9$Y;a^K)Uzqfbly1PSjD3WWA!vg8LPInuvcnqq zV|J$M)9dZ5_T|~XcWNAvPwqJ8*CC902^4x_#D;4@qS05{KHSUYud_-x} zxvg7m;w~LicQ}5|z%qt6r0II_lAE07$0_aLtP(e-&1rn8FL+pC&zi->%b-SfKxVRqHHtPZreN}!6idpA_Tr3?;Z6Nu)U3<0kYG%4c z%RzFZEySM24=(m~PT`D;{+i^*0oOns9i6z)W9T473E48f=}*qq{9(i*xy`?r84`T) zxiioTol^77WLLITwp}n>h;DQ429IEJ_5LBMUWCLZNdEwWv`$ym)LcPZNdk!Adr=Iz@c=paaTDI?Dw3BLaA`<-KUg1=vcG8w7UJ$1_2gWQ6+%6$CzG0c`zB&D3H zw%Gp=w}8L^_#bbk=gH1=@ag;2n?nIK96{h>s_oz)0)EkN3)0z}Xfm;B#^FEGI|q&e zq-Nvp$<~NwjDT;rQEVwzi+p(K)o{fIvkx6EohafTl1|*sq1KG*;XkWW3-c3AXHM=k zc~`YPiH@+}NgvJRi{>3`;rGkIK74!=2axmw2s(CyvMGq-Gf@=5Iz;VBV3Qg#q7Hen zS1+kS%{5l71F;@y)A@U>!*83FVfO3glm-vmgYbo~ zulF*T=zDSogLBf>Rv0C>qjAl;iEj|)Q7%2$Ii>Y1#AqGWwT4##&BI$661d^D3Q-Qm zaXP}`P8-hyDlA4&7GK|8kJ;Sk5EP?ac?9KnN*deI?yMvHYu52J@gtog#<@q2?l@F4 zv#(9mAX`+pRE6{-K}EE1R}9%9Lbf>2XjU-Joa~-Cu_>_OcHG3-xI9p-Qq;z8=4bMy zTntXTZv-hhepitDc<7^G*wLfmrq|D6wJ?{uSr3I~Bj);nKg%NC=cqly!Gcm){Xbv5 zqfIsgzY{N&j0`Ewz<1*`8f&odV7dn;{(DPEvrya@Vl$4~|JAJ2Ze+Jtraz`7e>x|J z8=!2u4I4HH?P#>gVjTYY)Ws2V<|)6@ z*ll;VL4*3HY#)ajBhhiH#xrK-($HN0d~8*iA}1*DNI(nex042EXYUB~Dt_iaHFxqR z|5a`Q!4kE!_iDPt;}f*#X~=9m)ppn3QJMPKB5wD@AS7-jFaIHsX0HfirwDj-y#r`pCKt?-a zp@P>C;XcmNGymD)SD>z_^tXt?Bl3lVu(`qVBXhFB$}noY(6=YiFv{An^)yja))$}& z9wZ$2voh)>4Iy)zK=TOaWgXeYUf>{6noYH;oSuJTzNFpH_V{_|l|3@CT_RYnTaE-l zRtbC&;&LNy-m(KnbVh&pztG_`zK5OUGkmO%_@9-H&G^|6Zx4BP%?-v(eQXQ;^iok-};t{`Eme*whHw9dOP#%?R54z7iOZ6y6?>I(Bn$?^@+3?tb0bhL@46< zH*acYWeW4OQcEw*oF_EC(sHcC;lulfIG7|$+s)J3BV2CeN6D}-=tp1&n>22USlHun zwIWpaFL2s1Zwjt#n2Y@O1Hqi^O>9kJ&%U4Yio2{IXCx;(+=@8r4`Kpcsg`HItnf~@ zj<&Pyg7D0Niz(XjVsb9X(&Q=JL#tH;_ChLL-(E_X@LNmev6MPIMz<;@rTd#Wwg#Rx ziQt6ZZB21Y6^*SM9VdMxzwY7nu)Dgi`GiJ{Y#nbgbm~HMcWY`?D9JbT>$N&{IS(CT zES>0I9mBCDk<1D}IO{LEW+b<^gzY??_5pE`X0Bb_`%=s?8fPUaVa~Qu>&nKahQIn5 zF51!3O2gnrzkc@%4rZOqsw5U&yh%H5sl;(mRVis(cX~}dPNWS9epf|-X<5TG>|8f5{yr~LM% z=D`SZq2|s-LfBvFcQ1rwGUxq{i;H7GjNk_k%d*-isT~t~<9|S7BJxm#-l&VcN#q=88}O_(QHx7wwCQ0G^VWGAAI?!IILMcSE%8-S8hcVb-Fm zTc{TAQyEV9(|6Y;u}|KBYHFi>=zm@fl@0iVY`>c*sI?J1X+s57)!znJ)bxWxLcWfq95_)l#UJ0Ik1> z?W5zJ_Mv9QU5zI?)i*&53G}tccrUbMnmjZ&6rz33tVSG17@0xq}?iB!#q`W;-K*{HyO0M```r=yjkWyb43iumn zX@7~x2inI`>&9+CR+ii(9XL#2S4eL5oeI{_DK=`%qzA8lsiJKYE&xU=)p}k9Zw< zg7|TH_-(09+qb!E#YEBU{x--6#zissXO@PI253ob~VR4XkPRWa3TKjZ= za%)8^pMit&(niV(NCq?W0n{Rxs~5!2Z%L)rt!o11koXh#Fh5~GofM_O`_gn9z6V)) zBMZH7RG(OtU$Fe0A3WMsMF|Y}*M)#+s@fBTb_#Ti}vSjC7ejcpL7MgW@V21n^vvs?n3; zvuDpzJbY<-+~{A4srs}mq1kI=Idb(1ndQk%l!FcH3^ye$rM>V;JK!9moXZuvdz6oN*!#9iy^br>}8!JPk68;6%AS3P+l|{SjU` zQFlj_bktHBY^1!${@{c$yN2XY#rf(MiefD~5Uaq;*QzrS3+O%>7|%QkjXqWSnmX^*?`f?L-SdCH2=Ux5Sd`>c35z*pyDx?e)rWBBPxX!Y0(P9l zKdZ;)bMCoqmfO{3Y)yBJ$DDt85V=R@)!M|;_4_y9c-(qf^)s)b#-==<#vs#(0yw&o z-Py*RnkA=bZBjoSV|L@CCc_`S-%hU2kxxTfPuSKeK^#;kHNEgD8h^c{RZR#W@&a@f zquAU^da-@ixby&N>Ui{MTT;5>WnX`X(+O7MbnD9>?%-lo)$kfy#!w}iBVs0rH7l!5 zqw{)UhDkl^y__%huw=3O-!2)9cCQ2duCUWf!SdhTx3z65edu@JEK0{$<*C@l_y$G! zCu*(b&92|A^KY!ft?7kS4UQ(myHC(;1sEqTeLsHT%n9lT_rom3b|5oY4v>?*Q$0AZ!- zPGtTl@;2J#q0`ItPm;9W|yThWc2;DAC%|XN$rGJtkuo!`!2)x$r ze@y$FKblo0FEXXgm(CC{)HI;Q=XDPhAR+w1`;Q#YmC3P$<@qQyRHJ_xSoiB@wK_BG z1O=#rQT(rI`*irdoaIQiIj`L;Ni$v(mGV@6_AJaa)3j1p_phaHc*{~zd_WkF-dc6E zl2eeP4U-Nm-nF|A-P(NG==>5JgNUEaMjh=vG zytO=A_mRd}@6AfD=fPI71M#olg`sxsT+Ik_Uy%kL6ctrXzJU|br zCQNd|2BZuZH zC^zNSp6kL4DF($UqqM?8nrJ)&DZ{ke-d+t<_tqAF-ziJ8z^;)Ts$=IHy%(H@Uj9_qf^l_b>xViG>pVW z*p?w6H?65jT2nRU6GSH}}Xuj9)i1is)E`()S>fzhi3Wv(sSF1EnnI$AFyN9UD zuBrzEop?ryDT`y3D2KsFZO;Yn8nbw(r{?LJA3(I<2$ti7lfsr&V zXjj8)=PJvFv_}Xm0gt+}gi+ta#Sst4$1m9ERAxI=R#u-^R=96xgQq~)>CbeG8`DKg zJH*)jch|DbI*FLrY{hrj4Z-RBN~W;~amyi^_*bT63rq-T{d+XlOxdzA3NuXT^b?b) zoAQT0#Hk`dm-qxy0mY_FBqhV&B|1NOeKC?A(xH>;U7YS7v0ZK-TKR-Bo|(5~p$$kh zPWx)70Oek0l6RGnz7JW71&gi&!|A6Nm;P{bJpT#Ho2#fe%C_zJEH!H9?tR{< zqd|bHwbKJL@*o_%+`aeChLI$JH2p-+p@!tDgLPq^O2%>&J@=*SmB`RuCA`W`6J-4YiCj8GdO>)W>U1-U3X61P4f7AuzQx+{C%h+U>S46>at1f?53f? zx}+^vH*)Pwk?GE3fT4k^%&C2|!FWH$pwLj##-0+HPIDo|o@)rS$#4EqtBS!iCI&lc z+h4_Vwe6D6<}EV}bA?i6d(XLtI`9zze}nC1|GJD^B0%tb>ea7;3~I+c#SxH}%4#M3d;1%FX|JJ<@HvW5CMBoq(=) zvnluS^A?<{z-(J2KJLB!1LlXZ(5$iETU(x5{8R3*<2HOtC{OTuoNyB7*m8Lp6!}$; z*t)#F`xHlKEm`z(?D!&Cw2`vQb>epP%fJN%#A0h2ME=0*nPMZNBx8Q_)JctSl#t}B zQ|_hRxwDF3f$z5b2urg+`p=jJKomHI6(XnUnVT1lj&Rn@v>!mj>xipQQ@FtEKiqD! zno|CX@>9;~PWqSYncZGHtctC2{z~jdmBHB9*cD_h%3I}{8GDh=27!{9(?t&98h9nmQ`Nk8M6HYgxV)3@lLY8J@f)O-Qb4< zPx&EXZBhQKQ$-@%RxfeiHqbOYayrpzv<+Pl&Fx}m{3wRRwWl6u%^#+tv|r!^G$5Ut1b$NwF^} zzP#BP83${{v>y`n0_-Z*{|Iw8aX6fzQy+Dhm{+9c*IC>8D0JJMdGSsBRc`d&$)a-M z)Gr}KkY&AFZT!ITO}o(sosUJwh6;5n(y$C@V+isw4IZNiPGUeofQy3%9}`nf#K$sn zI_{+RFKBt28_ecr?rV7OmEPE3Hi*4Bs=sBQ2&qz_E@9BEb&-Gb(Y17?StAj*Nh5EE z2j2*ffiy2UCbubD=Atv-(M}gPM71bz^?2`=-S-(DN$WjcPh65Y)qCq)k1*+#u^_R9 z%$#+P@S2l^dpZ7oB?`lI4rdW45-5trs0c2x-kcz@ z2Bkkh`%c_iWopgjR3p{bCx>N_=V2RPRcx)Mq!2*k*^;L!C|dr>`mr(Zk8QT1f*wB>Q>+r&l$QjRg*4 zz8Mm^J#3*DrtcY~`1xc=kZxEZx=CDUuk;R?9#z_+;cbpxVtUjewW-zKfYYI;8vvBL zFAQb|tIm$`rDTdB=)2~!`o*Yil;xM-;x9%wrbU{5YPVM(bC7CfX1d^Xco%`1H(dtm zLlH6S(>ipJm)DORHlUoH*@oZ?r;%p5;XQrBf zsmRa~7a?;E**j;5nCbxcbib}_*8y((>s9aEPcc}ZyTcv>h-s7i{Az?@G%&(jbs6vi z1-^^wJWtVRp~Wc!wGVij@D|1%bb4rbv*CB+@NvUZo1K2`Ybm1|=e1ueOShqjRw6YAx@P zp+SWL!8et&uD3F;ijKE4NHC(B_fIZ{nlvF*#g82QbEi_ImPhb0(ez=*>b@EG>Z1Fq zw`czqPm!pYvSw}X9J|;V%g?zMk?C$;-fBMvrQI#)(fCihpYv95rYgg%$S@NDsgBcM zndNySLY*A+DceCj2%&-~rmk+yli9;>&VTs?ZVUid7MENN`+x*$Vo6`Zbw-{BB-cbj0GCAgjwpc=@0P2U#dgT-@|#7r$Z8zTqW3NV&5t*yYlyT z)-rvCdG^jre!hzEJxCnc$C$v6+uw%}Op3^Ofv&I% z6sc;!8-rbq2w{Gr-J9D3>3RI`Fm$v(=pL4T+5HC>T^8R>_mC4doM8XB>;WDCrb#~p zeU!`Bk~p@XqPDKL|FQnb^Aw$EZnUEJ;`C4Ag8b(+I*G|g-A-@#TYqoI(T)C+cVWeg zyuN>SK`wR~fF>(Ndv3+ELDNb3mKMK(PV^+D*+kN#NzExqS^OD&_UHskXp z$5Bgp5Qh$|4P5Uj7{U#T0=+vE4(V+WX_*CyTqsH%a0IUn)pt|0u;@sczNC+XWRu6# ztI^^e)i$im8oFGK{IjJf3Q54CuJ$FHPB8Q0%e|>eynDE-j$2u!k_+$c?S0oDqV4e` zGub6zwf}5t><>%N^; zzeqZf5y9%Sti4EMohibnr{BK8x!_X8>Qw@Y6}q(1Bda79^$4~b|>dV*UECJzWY)W3XLlSRX!x#Zn^W0x#7FS?|eduOOrG|0O$6Sm4_6Q=pTeP zZ1hj*%oi8U-p(qw7OBV&P*>-)3OTlHhbUHRueI37a>(PUZe6>S*aDx8`R~{0>LtPtA6#osS(r-bG7c+o&cqDy)~({I;U^TDP;9J$!TYk~9`erNSc`e#V-duu-Mc z2v!ZK{u$mKA!G&fW$|aK?%w+bE3I#(tY;iEAhBi3lV&fWOG=+MbpgIr7^Q$0^ zl1@@;r-XmGFO_%oG`8mHzkl9%P6fgk;niqeB|PjK+C&M7>M@v?9KU2SHM;PPvI`vY6oqZgB!$kn{As;r!l4AF zr}O5jPoH|AE2MM}WXsJO{+pUM_D3}Y%h%ZtpdIXwL7zSyO}>yHg+tnAEq;1hwtN$C zf~NP2V_(_3nIRe_{BB>aC_?ayEU>hw`qSC9=UG#E!{sE3;pP3Y=w<9+-5U^|y-Hi2 zv3Xoe>mvEd(#{7rN?^gO1U`mt;gF^%nIZYk_1L{X;c2aP$tslvaiuVzny^N*BU()2_#P*Am9D16y z%(`uB(@)ba2k2H?S&R7(-xAsgAt+NJU_(-QdRYCC-bvDZ~*`eC+^{ zjHKu*J6hJtryqxwn)Ds}C3J#;#+XPCb@Lpa*PN@G;!e@ zP?T6Wx{qcLVSOa)zmEcSSVfz-ud^eN6p!R z`F`7r6ggRb9AAXkmVh8Kr}hr=KuU#dld8g{EU8r25%x6bP|&Ps!NCF1t>n^71A5Y) zJ8S33q`h*l^ykWsAM_>?yxDFij(=hR^>V&ifBD3vOJVOzA8&qvyW-{Y>CmaW1DEH! z8xQk|_eQKv1FDi|eWtDjMkGp_n%h!-RGmzmYfrfzdH14iKe8KPl!(ZR5du9MfveC1 z*0axC1iVYc4T<{$`0c+WrBNhCy^Z)^5)noBkbqlz`sX)?@}Iu?^zbONUH8x%JU zCXaK5RhVI35loh-fRbDp7vb(fw14lTp~2wujc(6cZk?~28Iy!qB4f=M{jOBI9o`UDYwvX|n+t67?%iEcw*lD8%q5K|NM zB}0i{&}PmPhq8D>#aW3clP2h7IEowqS5AFCxrr(@yu+z~d1RV3W7AU2LPs^#jiKk> z@1T0V#eR1^xHFpxl!w4Z$kMT<@KtfGar1PPQ~T9B{H#W7`BOqbM?oW{TddE0*3<1g5(M>T4kfvL zd5!l5JJ)Z&pWk6yeloj;Ld-h09dUSF-^wfzj&(o-_bZC{%ZSF&DKoA^bdl!*sIWJC zkGBSIZ_6;Ir3{KDul$ONuDuzc~@V85+#9 zX6i(UBvXkJp=6#9nF^JmGE|5iGS3nB_15>^yVhNIt>0h2wSIf8(>k%+dw=%ldEU=^ zcn!H@X1}ThG`ils9CvuiskdDE6YH8orbH)?%C>*=L0BV}1D=)l z(O+4E*7j#j|LXA382(l2?%U(#%hD>Jmm4>kSwC05n;_T4pJG0u z-=N_6J?rCu{Fry@^oLRW#dvaf*Kcr-gEG2n+@01;fx+2R(#@Pn$r5Jn;K=-EKy~}( znaNaZme1j%9`4t3s{t{M&J=B63cl?c{4|`%QerS9^;)d(JJbc2GtB0!ct)?;qMvYH z%ZvxvSoCVF}Tg?6K3q!Zs-x_Ys&^jB=Nec&2K5rQ`Y`?1N9=ISPlQDVk zaB6$J56@^(V}YkTj+ z2|jA6{MuDwqHsDFBb%4`BQE{-_ts`GcT{zBesq<1Ha#2h!J~9+Kq>fggCbHY`+S)p zzq{8afV&!Vlok@QTnX+q>M+itaaQZf%9oEF4P_2zr2Qy5%79LQ*71k|y$Nm^{*7O? z2mT75s@o~05+L=MP5z7_TC9wum+5D-N;5^SH7wBB5Gmoe*UL-7&*81aTfc_#=(ktZ zI2t>1cpR`hdji0aXBe-QxwkmKJ>NarS2?D#qJp}8jL+ps3)7J%b#3k}7g)kVB&hC> z`MG*#D~49lyFzcSHdP}wuaw!B+YC{=GK&#Ut^!>xH#b>~QOm5>c;uI(oSw1xU?-

X0Vdx;qFO%PP%46nA>nCj_ z_UF#+M)Bt?ptQMN0H>cY5X-E_w^mN)*~aEQ(&pgFf`b2oBHj;9{vnq?id!u-U$n$2 z+fFlUZk2W+HMu4yT{t*47fJ44OAXZr5Z;^R)KYq&iaduBQ^w4*(<@yME>85cF=}JU z_;zez5i8eTpH{&fsrHS7wDDfYoVOM|7u&+c?q;A8$0vM-L|0I8YX4!;7Tbqpshrtm z7Z4Nk>Hy9MI?<8!)U%+839xCeXTkZvfgEn~0MNK4EW|PZRqHOauwF<+Cbgym{_y0- zn6C`FbC?x-TvBZwf*`yv_1B#{WgSDQMd%63)m*H)X0!m!z8z#Mot(6q>UlRg!C>tisy7NX{jRQtrjl;dp-b;#*b$HG! zic@Cj061DK|Df*Nx0|)i87p#{;JxvrwmG!P74jYM$};v24C%gmU*_z3pYLT7Cg0=# z9_KY6)f%E5IV)?I@2zxUIa5D&g!hRMk2(T~o+F7N z&33uffCtw{(S=2^<%{t~TO5n;?%wZQ{@eMTJ9hYEUTvIybjs_5baek<^~hJJC3%h? zOg`p(6LVVUDLc1q+l7IN%Vs~13RLg~R{ArWV2U~xpW40{>vTeaJlcdE8(gOGRRK#n5AS!X=l#Mj7Nt5lX+GxSM@7 zaPk`!6a-5QuEfRktX9l_p`E&}#NZH;N{cgG=Rkc>kB|0UEd0*Y=wTze7xoJX3h`>mj9KOD0@p&?>NBJ)2+SV71KN49; zr{xg4%4r0?uq}sQj;^q3wa08%3m&MG_m}Xim~>E9YSL-fOFv}ijNr3A0APp|K8skF^uyR zDpoSMcxlCin25FAsxV2uE+d`z<<0l{iiXNq|(!z>yv3PdU2Sg17-;L8i~NgiI_ z!!Tb7omm^PG^qE1fSMQQA=h01x!`w=D*Wy1V0=?J)47wrFPaKeHT_-Yw72YqpZP3j z-}58imYVfkK}gzJ4^|B9jt}8^EU5xb zN2sLkZ_Z2!)l0mJ0wfGsAqMBACTsGZDul=7vYyVG3~FstHyBW@S-f;jDJJf>B9`on zGjG)NfE=*UEWmXK{M{?EMV%K*zs&#S6WcN};|iPvY`@vqAU21El?`bbv0X0KIua)= z7T2T>UH;&N%~n=wjQhD4ra(Cc!h#~n?#Yr6cU4+&6}wjkIRNaJxl8`+aa+~;68D(T ze>YP0uRw&o>%CoM@>HL^s#nw0GR@1+be3~YqS}cB?-8bcf|y|u6T0| z+FpmwDgZQ%b{p(z+JHt$U45lkz`3Q^(7APC(c$I|KY|{3N31Mv=}Z3jnhtyDSr}Gk zM>P7e=U9wFzKeY=9q${3gT0G>T@6 z!<<(P%@&5j`&E@px!wZj;gLwE+3f0&hyVe(#u4>A<-ar|s!xbd|DV?)cRoUb#w9K5 z4g6-GTgf8uWuT zL8$4HwN~p1SZ+D`?%OOD(fQwTP9z};B!9FL>nkn?#Z&bJo;ShKj; zo2{_sbeoIN_k3M;_pX0!qZjC>uK7z7qA^FrrEbEdzHKRKdE#1VdTZ?yNBKjQeGG+)J4PGO&Yro=9J_rbtx0AmLe=!8AdEbkZXDviGT^A3~;(YkgUd8}! zX#W{JGWR_V(R+8WL;9)=yMU&PqoKs&>rXJ58-XWa!eZT1-%1}Gmm&uLf~y4~8^4S} zh7WD+?QskBN5<aWvCi2Yt3D*gG!*c;pw{8-$$$R}rsZjb!Zv$Q4D zzaLq}0&OETseT>rps;m~Hxc z5-In9NBD?y!>vEgn5JX{4@&{zv^n>2-oz-A{;L^Brlp&UZ5bSVV*5&z;*O&JS`AG@ z#)$Kw)Re(*>q@4774^ud3wag5FQr)<`BDZs92QB~=#%Z*_W(^}=nvbAss37X^yB6& zMQ##{_m$j;J47<$fgkx5Mx9X2 zS;(4t#4IdVQfi40l(BB!y!l6Fu}Z!vLKE3HZkxE8mKf6$&~CVJ)scR#iM6qC9|4ztwz9(IjfK3dNn_aB^d$+adOc5?6Cd0?JfuZVN> z+=2<&uF%-&n50KN7t9YP?-p6RL0gBypmAq`80X69CULJv?>{R}moTzO<7mxYtYY6u zq?CcnkpdEsoN9gzr@J0sO5Q{bViM{Zqd@beQGOV5JJ zfrkfL(iJLh(339|?pKlUr9sdN?g0CE1ju4(ry$!)DU$ZJ>% zCyOa&hH_JB2y3e3r?DZj{V~gomYo6874YqK2(S^Qr_zH01KZr9GpFl+OeNcbc7l$H z&iM8ETkc~%OS4U8tPcy%HE~y7X-QR`R?4fiNQ)f*83+nO4r)^H!1!eiveT-dT)ify z;K!&tce(>!KM?F`&fJNbr4!@+kPN^Ub%9#-1I!%O4T20@0w#jEt}G0v4`AT6Xl`Kc zhazz1U*A975G8Y`>CD#P)TxgCpe=Ibmz8_o1a{N)$Sv=d(yv?mv&f#kevljaSAtMq0JP@NyfCXL<+QD`m6amrB8`RMqdxr#^ z>+|Zj{ceSYZ;6zR$LTlXU-y4OuT*+1Cm2gxZM9HCVGRCIJ|0MQ%)e`E;V0s_#?13A z^*Xj+&W^I}pTN*_L`|KRp^&zB!eaSfR$uwE+pqFN#_^@wbUR%2j7(m|jjY}}a zVd!7uyl8d7$~3`6Fdqrn>=N+M@aWmN@#}s{Sn0n1e}~39PFy;=6Z#*M|P5M za8go|s@jw6s|7@c^YwKJ<{AA>9J*jW)3;;xeANMXq@?ENQOHg7qjv7&tF!Tjz}D!q%iA8}r8zjKPWSNop- z+$f4vi>$1y82VM$_BKD)h4c&_^$USnw7d!7NF<9NfCXc~jr%Q+_0RVbp%;2ViPXTd z`KuLX`&$6SiY)NzC)rF{MQ&SU2{`OU9toY{(+w$hPFH`)|h=E?G4Q zCZsqFfhcs=Cj{HQR^E5UTX4;l{Yb~q)I>hugP90yg;A}sZJBT#!Vne{-fcIRpWuIR?(V^X-`Y{8afS5;* zD$<^0WrcyA82$YD^P}&q!#823*0A+%SlFYD@;!I(rs8%j(xE#~XkuDoISr%>h?n2Y?|On>J78~M-dO^KFJ=cjv(SEVfovIu+Go-gYn3!tadQ`g`d$mB zo>s0RFl`t~O-XNM-_u|FaQO+$o(pQ50{r~$K^8*+o&F5uy{}(ZRQv|p+H8BKTShgo zCTQW1S+Mv;nA$ic9I}n3p0@QR5*#=34k`NzR zN}=T+UONZ zpe=>VE5or=gl=64LcJ?Mv@CjDMOkM%Dr#!V#5kZMrlO^VkvO_HHums%hg{4kiQnQB z8A9Uxmue8+5i(&k-hpBvIY8Ae%LDl@I4VjL$|MAVCHa!I&KdTrjR7V*4(vSe11LLP zzCA79nr;|5a`Zv~P&IH%g*+tGNlCkL4xZ@rz3*iX;j=2CBk$+$4@zGM!9jpEEpqIK z&cYBtkVhUnW8i>Mot`Y$Mu$;!PU$NF?6t06v31!5S%u=(aP#xO#C*LHf_P3%Z7)c$ zNCh_@cV}jHqHv<+(YJRg>!7Im<=$1n;n57$GxpvJk&~z1r>=)=>~bguKhn(rgA&jh zF%Za$8mxwa6nqWUedrf-W9AZ9yJbSMg+`*g#l`)uU85yML_M9ZFYEjJ%eOz4U0f`A zU>FpDO;{`F?G6L}Wp(muy$t%?JITRq#KZSu;=~9xPKs_9GJDM9l+rm>P}X8&?3_;*5yWr!%Xl1;0FKi9NGxm93S@wQb&`F!g0Q zdC$&FjTmIu7{s;3S<2l8O}m=(!x!=%F9HjXM4bS6=|Gz)x!%dP#+qHBaH{$=^(L5` z;xXWZ0-_0qprkJakk$x9(-tff5U9ooW~*n^h2EKhwk!NpbGgp6dm|PhcNoIgJq#nL zsPq}M173>P?k%A$3-~U`%49r$UQcQuQ&^K>@mArW?CxS2 zLGVwgr-oFu+K%i8Z!?zc$SRtti=O>5wOWi&esvNW;y?qky@CYT%QSBwAvYP@H9fDC z(5PFh;E_d69D0wz*blV8Hm;dEEyPU5qVD=q8LUw!Q4OeY8ouJL`vY$L$8oODy*O{Z~L2)MkKa7ywvL0EIc^#e(r>nlib|rTY+4g8`BG;VJ8d^gheLG|hM(M#Z*+mEu(iPz!qj01CBatV zq0S3r={Q&S{m7NZ_Hxu6SMcU|o)s_!tL8npx+bQax69Q8Q58?;2x z=q8=>x(6!DYiChg{Rv(WKD&G~0d&zLCvtpT4x*4&!l%~YevIH98s#2|2!a*K_F2XP zlURztAyv^cX_Ms`hmkUXWmaUh1rhBbQBl_gSksB9bQUSG-Wr~!T<6nJ)z~`b)zF1|buv7j=|SSztcy5)gJmBI zEL!-K4`cTL4EQHRMeab{n>bpVa3rG4o)q`rpN zCR3gH8CQ&qA2tRq+8owFD;SoO{x$P?652GeAV6LSiX5y68tuhLVy9pa@Pn>O-(sQyQo*6%Tk#$jP&AC#MJq?8Bg9GA;S0cI1Gx=c3D@IE9JH-{gs~ zML=h0twdumIi?{Y$QF_+W9x+sc`QL^2 z@89d}uzN6jEYD>Zz-?xL4v{P{m_Q>)2hP1Y$omG(2BJw+?IIcl7#$=RZ1X<#JT&vB z)}Lcnf_>v!EORqBas3r)g@~e8(1B5z)|5@i_XLD65-Y%XwlEOHmsxLcS11PG(cz>ciI%cqk6_ThM?Tw!Wmd%3!cX?4%nvefHh6^E#A^bKLK#!&SjU>AQWyj~RteFP9OK7#e3Z-V73 z8@Ej|K@XJ|N;bK^0)T$}fj~P8N(fp>#rU$|=6>%))W)9HTq#uJoj?cP2O^t9@u`RT z_O<0uK1TO%3ccrag6w_pZ=d3V>NrE(5#m78{4*}@2kulUJqEa$XyovJxbeO1`Z*&Y6JlhJci(e`%77BqvrfpS9#K4++uF5r>}LCYG1 z^}-UMPBQIUNip38ZGvvddqbAOE=0|;6>!^Ip`lTZt4^}ZlWReZ^ebl^$~58Gi!Te2 z4CLq+sNk$;1f-C$K%$6Hp%B&T&b}h*)ivuOJLCvadYAD42s{HL7!(n4+$w72nMivA zW70yvi7JRyXo@@XW>E;6DAOpufb}zfe-XkBQ&b{%tII2|=UE2C`VOzzDND>8 z_`R<}l9uu-pc;xWFWmdP#=%q8mW>2e_k15r>$GB;r@?6MAf|~467Xb0o_ap!Xf?bKrl=^vKCiVjE*?&**db4Mq_9Y z2lxoF!XW=f`pp!QNge_Fdo>J$(41co19BCS2rw}!nEh@|4F-@T^p2lh2t@!(+kw;G z)BHONCWWZ*G(dpFc58>ItO)=;KGwqfkPf+G@`_F&*|sN)4U8iMo<*Aq=DckCAUB7q z+Zaa%0dr}x3G0~bPZp03y^S}}g=S3-WB?t4F93NX1~0gX#(TdnW@rs~0bm7b&0lcN(C~y# z3}h`s^M0Te70RRph@_@1p#%CmIH)cI7t|n2f?38UXzk&4+)F~ys=vK_;I@dc@N0lu zYHLy8LDeeF8z2|zXA^Jj#*HVsTKKAv@5z}RLu(phLsucLpx5*f*(o$;?UM_uwzQ1A z&JhW;hubj5&eW8Ld6$m1_5mm@0GSeHMv-kt*5?J_n`q#3gK=&QV4-E?CFn^%P(Ys! z^OeKMXF|O8U>4ULp(*m&?MfcD70IAHtZ#sB;i+`jbI+{9Eh2@Bpj@yZ25oId9-0}X z7($jlSb)n>xB_LbZ}qnq@UdthY(wH?iiC@JrVvqfl}B$kaNh%J!wUN%#)~0gL6Lk2 zyYz-ilLr+E3b$5>{_7Vap6d6_$<`K;o(MHHl47 z>o!AMmptvznJ7U_bVUz`dJI697s}VM203Z9=|pAj^Hi?xV+u2G-`d{WVy?2!}mdJb&frVGYsdgPV;X74nE*IKEzW z-acXUL~sluPSGeN1-&Ls$W??ANdkmp0n~2UF|oZDK?(C+GHOZ1iHziPulekR_uOr$ z```pof~5gceJMzVh=Pb10^a|1N;fG#Cc7Nw3fOxpi|taM;J{5szt$9IS_GVgDBqmr zL{u&%%>_KCsG_>MlNew4@<Nw@z#n5rG+lLG1T)_V$(4)$)A>*e#HswAPJA waMIQIzwP7K%bf9Uc>E7&$N%??4hH8~l=h3K>vo%EGw@J3sHv2E!1%)d0wT3VX#fBK literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Traffic_Density.png b/Vehicle Live Risk Prediction/Images/violinplot_Traffic_Density.png new file mode 100644 index 0000000000000000000000000000000000000000..2fa1ef096149b44c09b6e4dd141fb9d8c833390d GIT binary patch literal 36314 zcmeFZWn9!-)HXbXfu!k`@L- zGm61b-=yCO|7VW#Hy`{<+U4?17i~vN7x&vv78v#0E_dx6UF>b{aJyMJIomiohzp++ z7CX&t?c#FRSw=(z_dgd1J33j3aBpn?fQRh5dqv+FgJHUj{-*kcB;iO>NFUFhzT6*(qzrLo_~ZXSm*D^Z zOaAYf7sWkBZhtJCO1cG4p0sv}waY5gy?*_AXNh~(aDDWt+MGO}jb$_W_QkPg3w_;a zoLN;+Ye%+Oa8X93_k8t_&N9)e*RHke=ou$2O|);Ukji~ZPS-Yd6*&j5u}`#R zG{e2Y6L!SV$9oRjuFm#74-Ss7(D$6kC>);>cbn{x$;!?q!8L{%F&+!UV}l{r!bwx% z7WxMHwmOf<6%XzXl5JdE@?>1c6T}gqBI$*;3EZq~n!h-mNkY|k>yn#ig!Df3#< zwYN`iYHD&BPe~qcGj!B}uYWyh1*Wa&<<_h&HI`A>)0CD~o|>Ya+~!sO>64~o z`C5{2@#yiyZM26b#!%Y|KwP#Z_W5+ z!S|1o94mC%GmQ;fmWy2{7XLnCvYqV69{-bTb!&IHd0^v81=(k5rq|T5VymEkV8Hd; zt`jY!8F*$Ui_G>$FM0fZ0B6%4kDh2mf9yu7wVgvuPJ1_ zd2<9kL#o$1w_bLp^icGIwKqALGgyU=k)5b#>XRt#JUsgBL=3T)yzOr6HI<*?Ha+aQ zP$v}@8an7#YSq9gxBB-H3@Z5vBL{2gx1i>YnTo8zL38;1=yxWC7PDZvB$4vfi)p$U zS}@Cg6+EWyh6Y7WiS_3ft}+}sqqx%RSK+xlnNnJM-UpuR38Py|Gu;xj&Zko3JswA+ zxaXbU_FB#F-!1Q?omuyeW|b{R*3{Oz!dznsXrVQtWp+$%o``nQ`qG)2VOrrUv$fdF zhmBVW)>Tz~?od3&Ul%Q_2d3bd_AWPZdGb&EBRZz>oLb@L&-VscyJvo7{dvN`#*3w) zV{Do2`_3kpnVx?2-o1N5nIj7g3VJ#^VVNb-e8_Bexn|_rTZg$Zh92kQy zV=m)Q*c^!SL$ym&g}rTF+m8>MXhsMdyKJwGsA#?!2?wOgz5+E>T-04Hnrlg&(eggU3SHa7QWdW)^o7Qw zR~WcVvhO_3ES*`8!#p^XMUVONJ|NgTsqndK$&4sG1PTL9M`$sW8%lbNc zdJ|xb9~ZiY>!MuiB-%eZkJLYZ_N)<4MYGsmv7KKpU*5NXEM&TD#l*tWQcyquiao4`bhizA;ySII8nU=P}k+^i)Bx4BsQ!k~ex!2@0x$fOC3{r&x+Z{B>|#lqjRQ6baW@J3Ymn!;8d>`XyeftHpV#vVgqoyD$pxh5=_JS$ok zjP-l2tx*;D9OvQRDY-t~#jfk?6Irg`8Ki!Vxk!3${(dWtHX3rYZETLE?@z>fYo+OB zwH>v3_r5Mlic3%3Z)?Id|JGOPx)?b_^5%$wj)6hy9^uc5j~_p-YV8RZGUOfmSVn$v zNT_M0d`0fyp+nm= zMVKb%gfeYMz>wwneJgUbo|^E?w@lQ}N;8^4rXQ zZ4L`%m71D*RbT(@+G6uH_1jb$;u-OGk#>!6)||)+;uzYHa8y$x%JWbI@|WD6~7#pF)gxWZ~OZ8#*E|q z>iD>=wwBf%h}Cr=*W|}~dv3~=XU%~D&&ZI1H_5R1((cJb55pA7CAB*zRMzW}e!b>- zNt#+#kYDL?RxfnuzIyxi?dUCsvL#&>Ha0s(&hs~ur+6y-$V*v%N3oW$Zz_+N!Jf0^ zeG8L3@iBjSwDEh_-R}(BRcaB!87n@+3twoM-i(e~=ep0BkP84q!EKEnF005jz=GO< zOA(a8qysIg=SIbf2`#PB_KpJ(hN$o$x$Jc?OSf1x>5N-7wB_4AgON?N}DihGRhH7hw zB9Qi{&@tApqQC!6NNA{ez0AaEazoea^PIuezki>7w38uKTjk!p?6Iz*+@lha>8N7focA1dT0GDS9a}$zW)|s7rMx0IDe4S|$-n&BQ)(@i97AeMaTmZnx6+l7q~|)+ zFLxFSj&?hn47aGX_X{TAWjq1;y8uj`fbS=^oBCw{l26r6)~MTFmqaGd zm+vjPHrxU3B09^;)iodOp_77wsr6G2_XxjA@Kp1XSlSAI_b&bNi$gZBQHn=myj)=3 zPKk?aGo7EsgD(n78(v&=LCB~uzad}uaBO>>Q|;nBe79{;IBwiZQ$FqtTv{*OO_f{xHw#kK56df;>vo>qcZ+d zs^??#3wu(5iO0}E*NL_|1<|(b#bGYB65Q9E(?`w5AN%`l4sdPnYNWR4|MAR8CK@3V z>P`n79TR6ugYU99?EJAH+38n<#?w=f3N_Y*osvM=6PJ8x&(tr@1+&}w;V@YrPQ={5 zC?FtUkbUQJ{D$OGnV5aYnU|~*s=?>ypKh-;_@RUzC;~@a4)DhLcg)NXjzifVGT0x_ zSlGHDHf|$;b=H~~7vI)(q&5fT2|60d+AH1ern$jtSZrgMo=J+KL(ydzU3ww)rC?6E z&D+Z`&GN&~_}F$g6Qnc`A3V6Gq8kWr2D@A*^=`L~HrXKzUkq!5UR^Jrn3%X;LEcax z|DINHZoGWB`bhlbor$)U1b8gZ*{^g5+1S$PIPb?X2r>n}6}Phe=D$m3(B*&_ajg6k` zW6AlJb*yCoXSQQ<9?;OK5@NijrTO^z1tA9n%eFncC{fs5@G3Mkp)p=%0+tcLc_hlU z!TC^7nyRX*Vnb`L)wOOgwDs>?+i~;rPR0<-RW&r)0OEuK0rJ;=TqW0I!O~}KC?W@E z`2X?(Be8xau#BD%%#r`vSV1|gYn#5+7&6cXzisEG$v@gZfBx*uv3SwrF~Z>kVW!Gu zdTn830yv5`@Up3}t!t0OBYeMO$BxJ|w=c$5EsZs+I22Mc35i=@FnqkcC&k5c>-R#= z>s#ViT@0Z|vLq=q^nfuiQIU|G?%ur{%}8p!YconrfPG0#%PdyiT3^xzB1nFHlqbWa zZ2hy>=El-Qa_r{d3Cg_PpSwdQc&S95wIKkS``GtAAPt;2g7B6NF&Uh4o@dV`Uxw^D z&${t=G%OCQoM+yl(>MQ;rR{32`OdQ(JaAz2`Ke4IEY*;UO#bcfJLTqnusEG#U$1lY z<*D}KSVO!At~Oj~eK^W-5deI3-(72f<;Adgu3#-=ke{ar3JNZc z#s{ay#VMlw6O}&lTfCtKy{`NIz)OPy`?t!$oEfXD_mQ`p>;K7m*7}v-HWh|m?Ly=` zM$ES+K$U=)Lo{SkzK#UH``JALd{)5G^Y=eJ3ks41%N-`D35(jbXJ+I!WdH8(AzmFO z{H9?#f45~lN_@b5YJpw4WEuQ~W%)|k%v*R5g4wWE4zPUDo>dJoa-_xa*4lH?^~zRb z@@;O0W`|a`Hdfk6evn5G!*rYhkHar2+W5}B$HNkw(UN7q!`SI*d6BY3f;5Dzt3aP& zuUt8U*pU#^tS9v&B}GQU&Dmxu&Xq^4-oQLp+4q*0eH|#kkt}@|kDZaZ?-d$liMJ4x)2I5MW!X7^yc&N;y z;+BEWf`g?XwWnMLPVP#y55RaKai_s62=AlJ0XVDQu=jczfM=u88~mdDyfCc$g!T zgo~;PettlG{yaU6!Q?3cth-a@`XRVf$RO`zhebi;HTktmIyySAQd#sP3{Mwlm@w8^ zqZjBfaU2LWz(TvV_-LH#qXoBBaQ!kppEo>hA!zpm1bY;enL&{=@0a1a86FnLt|7h{*o*je5!YE$SFLp_Ba(1@(5ID(Mz&lp9(xYu*Ve#q|jUr|KkN*M&S_ms9 z7x?=w&w!-h>C-LX9S#lFV3>(uS9p3fxjq0G3B1juD~#2PVuS?9D60#mZiUlbI!~$c zFjEDJM#^~=*ptGm&uBT-E%zu_TI7MhgqL}J725yw?!Tc@dqX%gfbk5zn$)&k3N7Jt zCKMjta`fAX0=neUjbr~RLd?T8H8qP76`Pj{=CQZbRMJ0Mt{;8NJCi>O0NI{dkd}KN zWoVyPz{lD^GB0*ddH9mHUw}c`IO53*lQ|TlcqrAT+xCzyM=JQ0^Hy`-R?Ad&n>_u; zr|j4kIBOoI?g!leYErjT!9Wn);H{pvQi~2MuQ+OMzCUnzrZ)?vTR6>Q_)bdEO7Tsk zxK$8jDvi$cMYXG3j+?xicb~sXn^f8Re zx=m_=kE>;+A@csS5oJmH4sNU%2lbh3!#wkT^=LP$JkI}qwMiu>aYj6A1@-a}RMvlr_`c7}I}84E0uuB#K+L3B9kl&!2;KaoNGiaE zunQTHOR16q3d>M(4t`Hjk+k#f5vsD6q2b}Szg`_fStYBtF8~5hVBwaK?T$4i)x30ae7@vI7T4(-3OEo_WEuJDZPYGJPr)A-+FT_IN{SFcg!{HAJ0y{ zn%q|~`09{|$t0I56Za?j(POt@4!{K=K)yw~bLY-k%il-H_HSz=M4-5$6YYce*Smke z#Mgh+zkdDwhYufQq~O{9!DzC2RvzVFbV<9CITjtU2;tcp>@CCPIJeV2qLQM6Lng0) zoLpJ`G9=7oXCS7Y2LJTb4PdN$H;1KAQL~$cdfyW~=f%^tsS6!Pv>i#WBRfZ6L+IYV{hnL^&Ep+bG8=;c z5&?s4`{0L9!h!-p!-VT8mF`G{@eeElNEein(&O*>B_Dqp0dPukz8*u}lY&kZ@if@Z1+N0fDf;c*!O;UZt>|9a#IT{L_xIkygTj zy5ou95wUA8il@?z!`V$`TJr7mP!?C!%iPKShkFq~&(kyN8GFGbF1818$d_$ML+!af(P{9dG7({Gxb?tyng4-hjd%D8YVXhlQ!QOuRY`dI!q87 z6#{S8C)gPSfP&}6<}mtK22AV56b3<^lD24n+}6LCH1$*=Zsf6|Vpe#?iC(?K_yH9P z{OH{0$1Km>CButdBUqe<{91sAho_?zGsXGuxhjDv`ZRL>;TH?1G~Z@3TKCeAD*Dfn zuLE?PYJxf`A2!LEep7vh`)G0_B;EN?ExM&gljlW=A#u@XDo25|U6#MX(=0NiPb6pa6qH53DYFA$*^r?5DeZ7bztu z-aktA0@LSMv-!f>y1c!EgBQe{nn}N0#E?ftJn$5$aAuX2`X9Wy*qy4AhBgtF(A^L| z=Kij1WQed}ocxYUW-AK*G34DY5XNP7PotXCqL%mQRBweT?3yecBO~v3FR5OmRZ{d% z`S_6t?mHP=&NT=|Uxn!uS<2VPPXSSC3|t~%%+~yge2;i%}hhk)8gr z>tFoxV?5&}AVnS;Q{%a#01QDvF$Iwg+na0ftS{G5nzRn(wKSlhs}tD%@Zbb)kVC7~ zmj4u74QxbJ*jk~&ld`h19XeD~yJ2DQ^dTW30~N7RQEWd{G3=C$F1JWjn!kTOr-YQ# zkW-eM6p(YEdOJpl#W4@`1L|cKsgjO8?31Z@w?~w30>;N?Rvu3j_1pHAgJ4Lo&6MW4 z-Ps_!;ve}c#y-^Vj47}IvRpf<>sm~Fe^X%;@hvf>&z`-*6LSHPZUHeA&ijYPenw*C zy-a$UXg0woNGQbihL%=8*DlQ8QM7EA-gLe%h0OA480MT7;%R3C6z*q9&w$r;2crM<*_<2|r z&}-?QbOk7u0m$>ZJ3)1koiZufvT^O@Ox&x$OgxX*G(KeHtH$RS#k8|tN#z_{I@P`$y#4L24UNa3QFHu=DQy%K{_X`!4 zz{jJeOmLa~`}I~hZCp5b;hE^W8(rzcORJ__|KQG3?v0h12wvB~{MKV_nYj##vlP16 ze5!y~_Sa8Z)d%JWy-J8aSxk!GDRc7*whCw~ejIUqD(YH5MPFVkTyhm6RnG3y`V-%8 zy(>|1@}7ESKL+%~4amPA8t-FnqTI;rrx={ynw>-!jc4=^0#MWq%mIP7$}^y)K1(sX zO+RP1P+~&DC@R&TKDAfg1!J&}@+E|*s8d+g7x`hjEJPm?#{UVFxshgq@S0tXUCZOs zDH)9tzN(#$U8}8GzCUN(;*S0sDCj4y5Sj+gk54YQ{MpIv(si$j12P1Hj%9Ur$1$B9 zB_GT}Pe@m|sSPr`t6z~G#TyYI$SAzjJwxNejbFdu^z^E>BNOwt`WH&e3p?j5_w`IuYbJL9MT zFnSKYRyn}NcFHb`&rV17vu}y2llSl|9h))8{F{Jm;f8Gbe@(puv{T?54i23ezv;~2 z8T$QWPL7t>$~1$U2Zr@-|FaXe>x*MBf$od~C+^~|0VYL+Kfik9V05VvroGtkl#qU6 zxR{vOBE*>M+1c4bjt8D{Q!MpIeY7l}hgSnf_~56~6+Rotd%vD$_;MYwn0m&pVZ7DZ zEyr|dle&RaPJ>rQp7+QJ6xGt-!`3Av?RIYP?m3rUpA`WV4oRz}w93SQMTM z2*`DRw$RfHw2h`MHSxT{TJ^P-G(8dhgW>G8Gz*7(drCbJN&x3DGIb%??t)psVAe#W zU1lSY@-$jJ%r=y@qc^2*2uwRj9N0Cg=*7&!62CEBat&B(-2%RY1*LU}Cxn>Zyt%ee zCO0}g;8@#vr#dyS1$Yj`h6#xxhXA zA7uC;WD%IMFmrF=N}H~u9Mo*e0Ad;#urg;;#(^;lREV=`WgMOBu_G4ZNNw{{V;F<( zgL+2CusLowwJct}NVz>#V6Jm>yd{NYBAP}Bu@l_Xli-gbC^_9!K6)?Uu=e!+nb+UN zKyT6rRiH;VkKu=ph?zfykb0`tth)0cYi*`JsnpfTshZEJ$moBf$0a;4KN^J4eO9MZ z+f2zP12!M{Kr!#@Nro??pH8a*Qh|wPp{6R+%9$^94FvS`>nCQ4i(ejtE7HUy#w0~D`h9^Qn{r=3%-aCp} zgwTPqi8MOJTEqg-JENK$;Z+4khZ*x&5U|KHDdQ!T z{MJ9S>N!&t%q3F0`@yaW{23HMxqkzm)h86Ll)hgfhP!^Y>Mj()6Q%C;U&01NNZV;A z67t)M#dVu1Lx(?8$kU%fXQmv zjT?_l!(ZA|aYl#b+soIC9;H&+;{9cMTCUMPRQ}}v%Epm#@#-6rJ{|6sXD0&j)n6bh z!c0ZEF}tQlmFzks7g9=9_AT6D`<#xH-@DY^q>@;XQpZ0zm&3v?MBdx|MYII6I9_a< z@Qmjm?oNd{M@}eI20>Gl`%+`~rJX37y=@QXkeZpPTUx7|e6yr+OQs0-v&0^RP<9Z> zabRcR=O9Fey?Vu+)ja2fd6#W4)L(|2Y=Ai>@Y-Et+v_Y9&;Ug1$2J8n=G*^nT$*TCBdqgE$X|GOZ6?yk zy9#5?Rex>(P)mLV1GQ(7d6)rIcv$7V?@z=sJv~EN);9`qC%huN+6$Q=X*X?ZZZ320 zytDo^(wXAa_Qqv#k z4Y-HfPvm=hW5(m=92Gr$x*}Q0#%$uAC{juSTyj24^A^E;)jNYJZ63r_F;vv_j*d8SY-X3g{Ci5}q; ziq@*C^TMhQIyd3E-Zer<2x+lY@iWRgm@Q#_k7KLyw%1;JS2;jp%q>A>%>eeP1@B#6xzlj&$N)DO{Y9GP2+ad+}Mz~#Ex zo=~acapHMeH$R@}+=M-WC8V>f$!s?a2GyBV&)-zVVnIyk$rgR!>0a7JW-Vjm3=}G% zz(*iW=|bsZ36z>91-OkB(MoH83m}yZh59WhueU;|s4$-Z5@WU6SHml`8v<9hxBirQ zxxXM$6JeQTscLmbPW+hS=uf92RK{z4}2i}LC+LPV`una|Ca!qb26fkNQ z2+hWzjEH!M!({nf%etn4V1>-&7*AD@7U%%60YbMgvq~5|uMP0@goJvBl4o*J;hZBW z&G2mlE;6puMI)*Nc2eix44=p5Q*#>3?!X@xZm;3#l@ytdA%P!XgwY42t^;V-f-1Am zSWX~SG@-O?B-g5;4S3@;sG1ldwJz{EfS1I|pt^7&lM}U#&w5K?RyG550V-Q8GR;JBmhP09gn2BNT=HDU3;DlhXK8LH4tzH=0^JhxY|HOB!u18_XvI$$Rj6b z49uwYr@H6QcLU+E$^}K|e61x6Uh{9spnz!V&c~(g7Vv|W}v35>9ntY zcXu=7lH{)ze?N-W60&kFnp@Qt?2L>{;jG zt5_|tlZ5YbWAZ@d*||J>Q8H6*2x`&oC`UI_jN*NeM}_egMGHCB9-jAsuf-viBWPj; zJb0`22i)L@d$M4Au_D2Av;VNFn%W-C@0g%V@J@&tPUptABhE!@kj3m^bD-CtlC57k zK-+AG_IS;p zdU^UCwYKL^RBm#H?5>_mR1)j4XcY!wV0huKxa+VT#X#mMw>kTL9V8oRkl#;$A+?}g zfpR8-yYO6Fo*V4w zdzBx*L!m_3>9q4N!9rwmhzr~l#uyw8`SJKw#paO6Iua59{bdVf49oGrX(Zo(iY5d_qrWe9Xwp&1`SbGg+k&bANE?-Jc&NI&)w693U|cejNQ9kQCTq0ZOTA8T*f>& zJJD<{U-P(h`5a>b;uZB5*sXc?-h+4>xH`-#@X>xPcJ*7NJ~fPt0&Sy@@r z=~&(Aw0ErQN>E}Cc34At=m1Ekik5bxaiP%Glwl}^ZR*JhCqHY*uzAEM^I$mzh}`u* z4Zi%?97zL0_ivgNHQg9@jTcaWPVV8Y#27Fs-~j&ZGgWL5vRjj}E0^@fQCs_=CJvN1 z>lX3Z=`DCRazvHx>w}W0qldqqMQ9z}l`<^e1%g59% zxG=&8P?}K>H7(V@&jQs3s3S&SRW;QU2DpaH* z&+jHYx9tqRr@&Sn!%ATp0%4;tu%FW;;Wu=WCXl6KHGD2i>`D`bS{{w*b2I`yk{J0!5v(RQK%fmY^fZ0_QQ=yc zD>qYq$;wx2+f!VPxfrEzS872e63g)1}*bz49{~ zL~_?rFn_RXB!CyzZAcTA#thE&V)zASSRN;`fQn^}YzXkF+YNjL84 zS%73|VU}Qz>7>wXXWT)6geB-s28T=Mv|lBN_Keuh?BU-0-0cwUnzUlob@&&bM?hiw z`QiPCxj$2;v*`BsCjy|Cq7!8Aygr$}vblUGneoOs7*Xxyl;RsUS+{iF>Q3!baU*K5 z@1c!iACEF^@)-<)a(5YE1F}S7+Wa_^^9oKDG%g2NSeldaL8|~_SxwNpq|bk+>aJPt z;gYaDP(g#|rhrc>Zz>;S8kV1H1&z)-{VO^;ZbtjAkGU4;OZVXAEq}kc6-paN$&dDZ zk#g~Iey^qz^PQA-zA5~oUbGL!zmP{EFjuvV$_F~+zMiC06he!1Tv1myT*htkqadlt z{c(U-W5p?#l$rvlFeW*47w6-uwX{mtY++A*ZAa3_lco2~9 zMp)u#n9IY3jSU=0o%wb;T3Y-4Z80tX=u~ra^A=KgObn;LDu%W;!qiuPBpZ7M_-H8n z=)V%A{!7W}9-ciwWb53?eLgHKtaajo)R-~>#9tr&cO`iF_!9MjDNIJ~3&4tr%~e*^ zxvcb%K{}lebjq!;or;uoP=&Bqh65SVg^#p~hNnbC+JPn(2GWJRN$lgbWL=I$g26C9Yh1NzD@PUI8_gRN&;oPSI+jnh~BJDxzABhBh`f%z{+J z&Op(12%5s!9IroG;)m^#Qh{U*AjcC}S>%{iD8c6f>+Vr7MKtMlh9KjGVmgmB)5>$H z7rB;6?pUPnJBwDierFfG%$bO{(F084Lp@ z)4PCLEgVUZbU)PGg>Sn7b!zCQyGdX*(XA8k5MKD@{8q(Dl8Dz9)9)GZz5x0N%09mU zsxd=HXmZ`4+?Hovy?>^7LI$keU!CGc#rQPN@Au+ z5Xbqj{LN>}r#-Y~uJBiaT3o5K)WiAja~k4F%BA0qG~aSu1D=n~h>JsUBj0z+b0(Tm z$ohwj_a>+}4Gi|v+cIhc>x+?@=nxJ{br`H+NSphOXAPlrBZzuSN=UWiUsN|sJg9)Ru{#Wwp+tc@U zE};GF^!|~Q1$O*$)~8QIuM^5uevrBU-Urx8hce~T3kCatF7KZlL!2<^m z0%1TKmu)?xK_3LJ_@o-JxzxnPD<^@8rANsyn{C88)MgmG0 ziZF#uSDv4cYG!{c*nH?F=v#}S3{GRhg^*A113z^vs1{y#vivAwU9FvQy3%bMZn%&U z#t54VG&orhcdBK~s|}p@mW=}4leiM`6IyCOZ`{x(z^o`oyT}g$H6(i;@61mFapk7n zukC5~ie}K9a1D+_={QovWySv1{gP|Jm#Af!9Y8y>h#GFS>h3N*s*|lZu&Nf!h30}x z=qJrHd4L%|7AMt*x}KrBFJaeq`m&13Mj;c3`=PB{;o;4r7))KRMeQNr?d~gi_aVA? z_6#V>)q(YZNtEQ9vys|$~Z^jOVCI4Jf*)F7DMdE7I0S#>D_7t=bw*hbU z-$Q*i+^_)w*-}5;am9|Nn7)Aml7lvcQS*cPIc*#kAO9810?+zx-bXY&PLCH{|02JI zl~o$h;Y$V36`GoA7L5Zff{$mn-u-@#<` z0RmfQbd{1|`NC23;m%y&`>Bfc)+}JFjVktGGU^XbQeW(b;#M4LgZlI559q`lOXr?Q zI&^(RA!=cyfe8v)81^s`d-rF#791AlX%^VGa|M!zW%3{w+o=*vW!;Oq+8{3799kR7 zaWfRt56~_iFm$v=z)6Ypfcpbo*{%?N^(JUuT!bxNlXDs+w+0oyWk_94_6G%xe=2wt zC|p){s!vals@(TNl#Gl_waYA0)~f3qEjQgm$9sxYGQ0+%NAzr~JNr0v2X2nMq#cQNkAX()gTLqT zPgN8Zc1P4Es&M(-;Jl_iah+BfD$GbbjFN01yP8q&e}`Ex6yknXG^Fe2E&|?|NJ)-q z0^Ae!`t^G#aD4py`Lnt$EhbN-{8RU_q@z@F&=BQcf&@9xM+MA&1fR~8HWNq93aDj2 z(r3l&BSs-xM3Q}+Q>F^1$0g9fdO}C^**ibzk!~LfPuft~<%Rm86$s)%VW0=VsR(K1 zK}Za=iG?S0Dv%PCL9DB#smYC14RVl)OKzDA0a;Td9~FHLCBfmfi{+b;RTI-9Z*Kvv zItbFyGgu>*dIhpK(m5G`atP^_R##VL8h~E=NhRA38!rQOy`T~$5;cJW+!lBXB)vI} z?Sy_#5Uft@%?gGdHs}^z1Rm>d9Wy2_26#ZMR{F#*fvAZWDSwhnOG|a^sF{sWBM78G zaZvuK$!;T=j_jGjJbZ!g@sEXe9zp^r8%ukf!!35WtZtzGZK!CEqCOnddjp8U0JZoc zuY;7;6+t+lVWS5iKIDTn>?EZ_g(Wuz2if13@f{d{dDD&{SIM$0lKu)T`vkPn5K-It z`JK$($kVwsD^b&UWJ0TfU1i`=LV~u2^kuO9R>)xDxj=rfy_L?>RxMiDLK+qanhYJQ zkfC=L!=149%`GtZsNAT;#;RvGm46n*`;D0rBVkDQjy<#^DqTUR0D$?n{*i=^3Dm_# z2z~wf7x9lq5fH{YH*bzsthIgLfw{EPtn@wUUZ@1oCo+2v{!AlK3FIy0 ztcO1IGScs$U9`NJXZ;$g%n5*8Qh}kM9CZNg$U8RATg7--M!yGe4E;?@qm4=gRQiRK z!WtTow?{x^oDVG%(4&+3RnqLvozT$G8zVb0PuXFT2npksd+F08U4yBZ%fYILD;hSG zxLufuQL{CtvaF%nk2V;ziY6f)6*Pf>5$;+2J%-wwkifO>ji{1gfqf%7Tm!o1Gzz<% zUhvKkmu;GpY+y#wp%kbeM*XeWWk}D9ha>H%4fbHT&#%&WHuH3WpK}d@7u&A9k#bAn z#TQiF4Cg-xCEoBlk&NG?D=ADxkav>>!+kHorl+MtKJLZ{FK0Ak=2#}gqRYS#~$ zhZ7;7ExIU4BRUn@kzcY)YjOFmzTeNnLZb_4*L(GwTVfT#Wiix5r@6LXQxC+4k1D>X zcR+_P%<2ut4Me{J+jQdZ2r2FcBr#387Rx#73?0$eoSbraQ$E*dDYI-G z($k00V=%ZE$EMYP)zqLa(FvUC=ex&pjj1sgO`xHTH|5iZF@?2q9~qZXVyXo2hm3Tu zG4ux)Aqs$CI?@ghDZQVK8r?uMD%LSXg}HlU8*lO_5N|?pS{OuA zsIP*MCKI%aNJ6>}k`2DtJkV|i%VkUF`#LCCp98sv0&Le!ot4n;$UrT{SXEQ2hMygmqiU(nR? zJ~m7#QRn3fAxu|aFvIPCFNbZN43tTJ&obI^P)+^!Y*TcUOLH?H$MiABr!z$$AO$k9 z0E@$1q-l?%c@HvRf5`38xeYzbpztU%GWy1Zq4$BB^lRQB_92-?If;g~WjN3X65}3F z>GF?4P(m_MKf?=xWYA&fYS@lmtj(`^<<8^;^t z0}yG6Z2~nI!ZP4zrGK@;ZD&nKd$c`6ITy8{cML->37?MI&4AsT0OyrlzBbHO)a`)8 z5XHcwLVA60avm^~R)y~tFIKt^svtffjUw^HNhx`Im-^0!#L||4rZ7kilpr8t)-f^Z z8I^CX)G{(+7yk_G-6f+(Jx?JwvtFAYaxH+Wh$eKK1p%e^9y(KKQ^erbm*4xWbsO$O z?lp9Gwhe@&xB9Z~^7ulZBM3Kp<|+O5$ZbG_IXYn^5~>Q&PsNe9j=`KeRJUt%uOr>@ z5DWdU!c>Y3Pd-cCfw~UTZEgmGl-@5DTJ?}xo)?S26)G`7@4wKMgVY$JH>%kt!ZS9!O_efYv1g&%S*VK*78MCxqYv(0=&Wz^mNgRlol-Ug9^q3K_5_tmRWi4jH7( zCBX3o(AJs+ZH()&S?TG65l1m`-J@`P4SP^!K(-7!BSgR4som7fVn_NJ{TZn}dBC;A zBa8~XLIiw_5UIcw~>1j0VB*rnQjaSb|pPV)07F`S~tU{v~97nLdg z1^U|5gC8mRZ7;+gs~+Xh_S28UskaqH4!zGRPqDT6kh%{z11!WdNJ=jcaYj<%*n zpn4m0t^lF0QS&>UG%*WPGjF*QL(F7fD@-qHprUs)D%j=E_~bL!W$4z1cFCr{QQ@Gh z{0PBmy9$aN=%f$Ba5~HvQ4o{Y-UF_t^d5r@vkd(x)wdJDP*{q1{kn0~d2DP9cXJn5 z4m~9Sc^w(qIqD2J()zn9#(%#|B%XKyrSKQoh5T8NAp&KF3(*dY?C0X<2C62Yg_Cj|5$eMeso2cP{M`TiRs^NBh@J(a+6lm{x)k22f`l3@Z@0%;ElY^XO9&atX!00-XHHbf=# z?Kv8tqBVTQ-zGH?++qq`!DFe zf+wUg7^38xpIhe+95_H*0y7q*@9Vn_YXwMhCso-l)Ov!1RDRyAI(jKU)1g!ewtf`1 z?oKcs2uIiA8(K{?4!{9xbZ|Xt83)BXFLuwN(?n=uRw#oCk_;3=m!KC}2K-7@5Vjxx zD<96y8SsSD*YX%LFF0O=oI)Y40h*|L;T8!{&>##566(E9u3xgv2xH}oRn_0T>3E_;g~4}@UU2*d2UxvF zm;larB0xzm&flLF+w*<~b_Ro!E5wNgph}{;Mj(FU9;w1=n88gKVNdwNK~k+Gd0b~+ zfyho!y~7JrEvG2@7Wi+>*{Ap(JUTlE`svDne_Dh_6)x9as49PcnM#fMyDDT_URvz~ z{-SLs`shkny}QuwiiGoU?g(mO?Hu(Dw-CL~j^Q30`qz^}2u!HdbvlE(UV;2cTU=a} zOow@1z02T91AXy8vTv=hl}vSH^ZW_}&z9GqKsF+@$YvKe`gpdUA0ZuvHIbuUzxN9o zCJ+_^9ovo)Sl!6MJ>4hV?a#->c75IG>i_wIl)#U9|2>D5O`j$%V;_+XdJf~zi7klA zx3o;!hODu+0EcoUbf^$I?gA{6w&d#HH*+dSo}Pw|TZ5uIk9lo015%Y&*t!}wx`6T0 z(bOa!N`!gmfp5LnAh&`}z-eWW>WTvgItne@L?9y)P?;R1CXj)khGn{vt6;abkUhb zqh>7?etxJ&m{r{J>Ze-hQPfARZP=!8??jGfO`oP zp&KyxP!)H6l}3$;TZ8bhIT0It)zSNYNyC`LMmoSAIK&22Md0Ny@cIHAoaaldVZBg|x#>y%2+Mh0SQO1T)1l)>@m3XDX~5eQT1UCs~vaoDKr?ARu!5 zDG1RV2lt{=X&{1vJr75X;xq$n`7TTOt=c-}HO4Wvt`94QqV}gT6@~Tdc473eFkd8) zmhGrnAd(DVdyY+1)ksBc0Px%YD+l9$GV=m_8uI*Sa&aU{Fia)k+R+vbkoH`gy1|!h z0n#5g*wGmW1;IQ0V?!;y<$52<=z`Q;*z!fN7;8&o$zWvG2~IFw3ZH!261tNK3C%K6 zWy>CB$}Q|0a3l~N*eie<6vJ;1Lf(n4LkbRM$F=Ze7i&aeFmbLF6vboex0TOpbGK?>Ms8&;zt4^Z-Y@*`UUU*d zLWsMg*7^2+2-vFn~i{-cz-+A~sM?0MBx7aXrc$9uMAJ&fGDjsMGZ~6RQ5sCG&|pX*vr48+QJG6J#xf=m zp}|mubHA(o{qFDg{H}AI^UqmV*VW!F*6?{h@AE#-{oMEc@T&fh6?J~LnUW1M7M8{3 zOV3W~`H`JdIY9fKbE$Wn$AQeIyV<%f92En&{Jv4Ldm59p4YBLtfL*=iVKWG*JOxTRiUFYY=0L;kbv(m7ecouDoikn zw;X%Eh?9$JX^I|2Rs6AolT)6MU(B%*h2@MdcPXFb$O0CC4BbX@T8F@XD1>3mEFC&I z$UTYun%TLZ{XAQp3lkmDEk*ruz$#mP1Ty-09js<^Gm-_zqmef(><0D81EFqDo;toh9ew0{!!l24u_6 zwOE4 ztc~B77wjlZ*z46_0)22J2>^&ly7u<=@iY9}7FDk~)pU#s$BaA>dS>$oMwWg8DFF4r zfpFmn0|owiF{HpmCx^@wrItjp&5t#VdxD}mygn}Qa)0ejJEYJ&^7gmDW56GRbEqH% z1~Ygr_PdaG?G*fi9vT+sq5?susre}r<@pVjI77MF0iSOls)ukE!zoPac+fXixwAnJ zrO7>?5$Y!(2)rQ)GFJnbEq?1JW)tKWC<_UPpfWTP~fDO{6I7i{hr=Xs}_=&vK_m7 z_8T>(GSccK=q5x>rZdDu36MW>*-?wl>(tNoZxeMuRa;&#g5VXR#A}%QR{HCV!bfLQ zvjVqe`=TgnY_;i3xSI)Ov^ z>L8;nvj^f<%I2qI4^O^mMR2tF-E7~t?xsntq-V=X4%O2Zq(WxI9HEkpJ{u`a%FmuF zeU6YLQHPfiKlU+7|KzNG-}fsJ>0bZA_U};le#Kz9e&pxXK_)rDdBN=t3veA64TGQ` z&$BCyBr+7|Zr|2OlWME*K8t<4Za-34&EFpk+0X}%LJ?|zbLHClTH6r!!cOeC<@-<` zbNq9$K#sUBtpBdEd(XwnnM=y@^78B=2rs{TPAAUZYv;-e-Fq>~(UkI>>!08HdT~fy zdfA}7@}O$M(aTDt9wFybVEo57-YXQ#&+^;Ow8FK?(Aj13o)!hZ|dTB1MV-& zccJDX(TA+p*NICxgVLU_%W^v}r1UVM)?xH%P5>eors{_Dte8Qyr`tS2MUjYN6cv-3VhALRL&m$WM-Zctqexfu=-a(g?!s3k1%E0u^RUm&%d5<{8AodS_9Wn(YpYH-{(>SWd6x97?LHu{R}1;A1FoT4ou8uhy6*Z zO%j8bTn`Rfm~{D%+P&bKM!v(4nX`*R(nH#p)cwm!*{43-kw@ze&R{Lrb^)UQ+zVB; zwKs&z6@x9zq@CW3e9P4@1dFTQi*b8hf&JosT7!jYm-lGn;|Cc46c(pz;^~cy_kGS) zuav8%I+eqMr3Gmn$8PU%zi8aTt*c)#Z~*e*1eKIbY2hCy7p1?}l5-eodm?s}?5W=* zASf|odsz>&6+DzaLZ>`ud-CsF^d02!kSWVJGj+B`K6Ie;2LAh+F2M@IokW| zs!q-UjLuX<&!Z!F-QV}*`QN?Rm+zR27j{;T(DaTM6%T?j&vy6)@)3qg{#Yqj{pP-f zt@vg+4>Y^CQ3AOBx!^s+oulo`nUrsk1&U(q?j`N_m&Ona2$C(aA6rwgBtY!Q>Cwn~ z9;Qxj7DepK)7;Rm2!Db#(=t~P%Gm{5gK@MnUjoJsK+KR9&Rr_fa`vq9ASkk^VquJU zxbzKE+z5=sd`wEtJ_QSy{j(mWDGoMM5X-hciQ#jQlvVr^Z~13@Fzx=Q-AkWq!X8y7 zzh?ou9HhLFBihZ!Bc)TBOw5_6t@hi-fXBV5ugGBx^=@+=ZiNJN)K{JWem6H$vi>o| z(nyLmXq!xqoh}T0=+ONXA)^Q3l{pI-a71L}^jgp!=27)$tKs_kPKlc1QBYXhQn^Ax2^j>_elHyMN+x}MX_4MCbr{B+$j*NGE24!SAj8=z% z85uxiOVBt}WM-(%4fUYjg8OJ7isTq%6-qCi|q{E30kqT01$DC746!sJ> zr;-Id7Z;L{5@5<~jx3~sxQuz;70=uLmvNV=o?$ho&-kABj&BJQH^egTTH0^hKUr=3 zNTcpTr)wmCJvszLWbyj;=Dn~LBFU1L;wNF^7>&KF50b28i3LRyEc(i)_D}Ep_?506 zlp$6pb?D;W>5-dVezTR0D>(bccX)1*37q1yYG&;p7$ESK&0@6S10Yj43F=`x6bbX) z;7KaZtf6|SS^J9T^(jt!SBKv24~x0AUP)G6-#Do{Rcd0%#Dy5w)uX!T%`vJgaBA)f zLpemOj>)x|Zvm@*TTI>R5?9LW{$b@%+lrpmN$Nu%a@~_#EXPhdnm&I0>-vNbrAJ8& z%OZt+CkXcP?9L9Z3Lg%Y<`Ys$pMQjO>BQDo(=`M*=@N3c2T$vJ?%3HJqa9`+%2)2) zFV!|YVzr@dgZ9LFQYk{C(EvzsEsma%7UGFaT)x+~D#vd~*& zn<>XloW$XQa6Jgb$erMQK>VO57B&V$&8{eOA&rU{L2Wg$wy!akVs5mN(RGVq=@)p= z!}Y=E53laL4@$536KhkeTX3X~HtQPx5nkPgB@Hv102s^$dVrUrb#yH*0@@$+IXTL) zDz19^d!dcp1NJyUDD^nsRe94gGh5&rXXJFry;`ZZAg2D4^SV&&8_~Kule4&`G(<&p zV{h#`qc~|0A8_Kbq;Ftx z$A?y!t@NtS^J;2Lt9lo7^te7HGBaptI1gpCO`<8xB@?iKH!xPEG_XXVrDnxa1BwnlL>^LffL?bAa2K zKO2jcKWFftOOyN{)h4#rB{Ld#u6Wyq+9s9-=#_&CoIoxExI7Y&fw|i)SVtXdNW2CU zxA22QI-xIHmJND?*r+Td6tCY73>16y11K}|o2(Q%oc#d|lIA;E0^*~V?LFnVt>$~b z_?w%P4q?J=x-MB9js4VpH)C$eAfj33^zb+xx6}`>(tXd;SNFa+tLFRg>px>)hliSb zD7#Us5lr~z4AZ! zaxf!P{#GUA-UTffF#;i_^g%=i^6iNHK@pbT{zltO4kBoiiv02M%Kfx&-@lU%B~fER z$MqJ~n!cI7Xl0p$D}RS5brb7N<BO8@$!5t2sM=P=loRww1jo?!y&KmPpGp1!&GN zNd%t-blXF)>bd=yg_#L-gPXz*8*Gc)n)5il>Bw0aInR1a;Bf{0k*37gJf)z(gqV_u zYDFibr|{Q~9pJ!cPAs1if~cRAk!Hjc_GSZ8!NqtBj0hn(KIVywRUzkK{5F_`a@>%l!0Cg0RBH zLC$O3=D%%fM5si?g5KQ()B{5>&O5oWW=~l8%a=B|V|f(al7*{t9e`uKSla@NlngZQ zw$-xMJnk3bS3F7k9H2!@GLenqsxtP_p@oNq#la7$ty}#Z$nmgEl!rNqD#N)D{S(v> z4IkBRY8}XMoQ^yG2v{Bn_V{-~u!n&Ug;*r18=>VV{L@<+%HapVl{BNbzI~>Rju2@Z zk`pX@Yqs!T8#ZVYhmsvLpEsA=nPh(@_>>K`*|6z?|lII+dK!p0BW02MYUxdijBVVuH z|0Z7x3C#JW0`*`|sBT@_{*>V^W6%`vN!8@3N@^V%7plWO{AVr~fU}zOw@<=Etdgtr z$>Rs&hc%!bC!&w>ZqhT5m=GK%Vg+!sQlE@q>$ZTv!jo{7vZw*U=>r@TlbTXKHrEYc%M6U0N*X?yJhrR}p)mGld)p{6m2do!Hd_G*h$RMD0v zpY`FzhbU^R=(U)vzmv_WCQ@*{rC6*DW(M9n~@6G4)p`^W`e}8IZ=aa9y;hV zzg0fym};Ue(u_G45iv0taAyuX7D%Ch2xmv!6cR$SOn1DR?YkpSkfOoC!PR*PvLPV? zPl6SYn1ugz7*u4$`iz|qwV8(<2WofIAh)%w*BuOgM2 zkn5E@Ci~JxUc8_aCm;&?S(Fg)mUe}qpeB<*<|;{6IUVF=l)}jlGwe>DVUqhN7ko6Hubtp*CDFtHf9LEiA4) zaA(Vv>Rxuh+D#gSfZne-p3Y55;$8gN3$mQmT?miT)9 z)Lpap$`#lc$VME?mjiCN4l85k&B%R;;{gHBP_F$Lv$nRb?faUnm=l;<@JA#+f6}`# zhT&=}$=KY-y3A0!7!se^DdcOf5?oc4BGCEA4m%0p+$3LVkIMFYMaGrV=}#wrfs%9x zo7XN9*DnOR_xAPl+#Ik571wu6jR7;~RjG@)UlVJ+KT<@yvLscaD=pcFm)L>9`W%wK z`*m}m(g5q6>ls}!2Cx#Tb8V~9lKKK-8%_9jcL#P2FZBTzcKh^PguqD`t?YRt6vkkH zs4}M^@B;%K8V{Ip1i>I!zZt z=$o@Y4M`j zru|(#qgxM&(+{SAQ36t?9h?E(SvBAu7U+KDsP?{nI@ph{Zf2M3vc)pV{ z7aNMcT-Z?^a&lALOr${}<|F+0xrnlknR&2Ob`yiKJ?Gb{Q}1ZwJwku{D%vqxHmftx zyKHvq_@5$ax1HjGrPH#qdz0?>@j6!ahPfnF^=Vz-t8DAbWT_uft9VF9vdG)Jhd)Au z>~?f2(*W*HCW{zHCKAeAZ|7A0x@dNAD;`sm1B@e5&w_7SCMasAosFdxhM$XpkwKd+- z;?LnfG;c~yet9(BXQ>}4;n-ZXXg5SG zM2d-<-tlg_Z!T>JHO^`+G@piw_4x;9WPr<<_(wuE993xA+!-Cm|HF@8sPAf|?S&<@4w6r?Kh6SYBE(^ z*7fY!*QRAZDr>oh>;h-v7tgf6sVpzAMx`#^9!NZA;8kXlrBLwJZ_dgw+xG~H0KTHa zT~$z41F@g0t|s+3xP^*L^juzn`)3XeJeG0_n+zPX;ci_S8p_<utM|26C)wb$<hn=AMm%Qx zy>U=@O^s%7Xl>nzypDtj<}b|Lu=;KxJ#hZ=hFHBo#g{F!`~^u(_xMF*w#8@>Q=5Hc zS-X@4lY?XlJ0j4fJ0mVG?$dGUy)imwO1oNz%O@8*S!X|MHDwiJDlB&0DiR1wxy~%V zBOD*>rn+X)B`@7^@jxO1glXwQ#zlrGpxkqL4TFNxP7JzmC~Pwl z96k+s`I~NkN8`u?2h<*E*!l)Z>#zNmxpeFq|Ihr724*s~e00@mFbA^rdM~??Sy*^W zc`m-W?_pdN!Z0QFb@U*O6>cH75n$G>vTZZ{a;TP*;yJI?h9Og zXM3Q_9tDA(Q0AYm-!euwqoL&V=BZWn8X*pTE_f09J9xivQ(r%GISMg|zpr^1i6IP~ zNY7?yHi|~m8<1^Hh|h_}1O=iUnlO9Y+kM5qa9hbS`)jR%i2ojg3Pj6)Y;v zQJAcdPUGUAmoE6Ax`P0UZ9|NE@}ug>V4+me^vafHqaOBGx2JT9Sbunx?qKV6>b30T zP_B1Hm2R}8b@dKoeJhr6H-#d3x8qW^MAcMW+Nr~=t*L1>=@GE#2y?gY+0%;}CI!c4 zQHE?2m&0d(1sC%&_#i=3hdp-E^~iCe%ece&kxgKGGJIu>JtEStN~GLRKIhGPGgWC^ z&)r0&jcRs_d&esy9KAJkLBp;S+a!jx^^Bs%W*$9`GgER-N=SHAx2-(}9A7d#>f*&f zm3QM+dakaUTJNH2Sa90&ibrLZ6tRxS05A+N*g8~Fu?9_Bxiww5IB}ek2Jm<@)jbo% z8Ifn~;dUXlaXM8o<8Dw?jvqZ^X#Z1I#|XRm6WcUc-<)E{lmG%zqJDGScy{Ka7Ug+_ zmGMwxQm8??k*>8j;^^&gc376Gs_r#p{?Z<14Z%LEy$u=5hRm8Ch#62RbA;fwz;w5uz&&y#{ zX~lkB5S#R@0;VyvE>7q^4o(!JC+p*O7L4T5v*Dyl=ure&Ih3VcNAtPb^))edla_)0 z)XFj$u3+cYpAE)av{8P4cNzvq5X|uHDDZRv=i{N-UxF#;x@nQ7?l=M=rid9MYOi)S4|0O=GP#&YE&Qy5V&ru}?%91XJ&QG@{id zGeD5&&()856#D-V^n z)4qA1+4`7}gh6bRz_)}+9jFYOfhblR7qu3y_WHU5yu*EeLyIC*0s)|dUE$Tw?2Xwu zNUg_xb=u%Nw&w;8X2BoVf*u(b8fK$<#G*yU)Kgu*jI5RAlWDucoyD)I0 znZL|v31GMplqdas$Yp44I(mHYwucwF1t=p%z~NvR>YB*@ltZ5{O?_y8W*l-~Ig6EZ zzlZxHja{Z2bJJ_|2%>$)Im$xbSJ>Jm1m-Xde}AB7Wtr?Yn-O4Hx=??W?N$&JR0AJb z0A8nL91vMki(Hx1??o=5mlQimGLy9s`uGg zVMMiFXJQLsuwlSX8qUU@5`4@d?ZqES_fl=?m4z#XP(u=o!QAVU2q6>^fg`y6&@rx0 zn+}U^4ot{e7%bp)ST;ED$DOF?d)vxxT?sL4tFH!F;?g~LS2)GKo|D$tpP>}aP3O(D zyEyVOVC)hw9@xU`{w*GN2TW@RUw(%#f`0Xw71I5$%e5=~ZzsUH%8E6hl+3*F8u7L3 z-T;?deY5q}?iUYvJbF7Bym^nPV&;PZ<@IiAMg3t{sNq4npT6)G(fKlaHV9eMvr_jD z2aa7ep{LeF@s~6|&TA-q>|$-Y`!IvX=?CVkOioyUBfyRpp8zf2Evl+-pwhcW|}Q8}xys#FQXC~?O; zSExTgfN%CYs8~1<_DS);!9j}PJyViUGIP8O{T$ql91C$Bsj^jsVN1XdGxzq5Sw+fY zvRATv?kQJHIa%1S-c!g;zxt;!=WbU%30j}d%(@_OS zsxDk0E+bRt`)pD#9Nbb!+g1HuR#r*^=p!R0-R`1w=j->T8kPbcx%0Wm$H+!A*!}pB zu9WrLSg%UDuFIy!SF(=7W@og-_c(`$q5W|2*23w_=3gwvo&{dD)L&h@DVS}i=T<%p za5W^k0<0x4VKEhVGx-+~8zZ8l5ByltZUppe{+zwNx;;D*3ydP{A}FKv}o6eP8~C7n}kKjybvCY$V{hn$(V(^ z?UDldhl@C|B8N7LazfaAP$`_jp=R(31P_b|jJHprx9Lo%Bfq`V)Hq1@nfai1^J0Ue z_(iubhTP=;3tOW}2Y0aNA&B@ZA9#pcUsht=n=__*fuC|HrHTkKe{W{Qf-b#~`u#H5DHp?@xH>$*&8KY;BBE(>*EHE4EN52{7*?v|*vSl(0UMpbM25|x*Ba42~m;A9N zPGdvyA&~9tzhT=6f;mR4+z`4mj3w~;e(ZbXnU%-m@`R8rF?!!x(MHxYusWXrMSM{T z`5B7px{cSom1s9_iiK9jgAuGq2M`P6FnW(HKox-NUsPlyBy5{`pzy(t2^1LjsLD!L z3=Ni@$o=^$dfP#mY0Q}-Loy9VZVr~>o<-vx!qDDmB|R~Bg5+mrXd-o{<3ADC)rq)- zxJ)Z?bugZ!1*KZ{(XtDQbT06x0W`^-Mh7(rp^>oY@VFOfS5Lo99JPr-CZUdPuG^{( z0&p||weEuGS|$T-1aP4Rc<&Qnp^@<&jLE2wRS+{S*f^!Z-*Hjl7V=}ND;}|W1suyz zC;#(j+qzXy9+3Z}tp9(R=xx;^806G2hcLI!kbIAIx6a=7yI71Jru-a$sRoTq_&AJv z1#Chc3;==G`O%w9k6FE5q8W}sa>S2Xs&=`@Hs%XhGZ1Wu`)Ru8vRxa`aZ!4vC_%Dl zKN)~8$;X;`j&<>P+}<^TFYX~bUR?M`fL}s_@Z6e(J)TUIb8Ne|dey0~Sc`lEkN=ua z&bVvGF-{R|U{ScLGYkHHZFa9)!i>#^443RZJpK>gc~=;jjuL5=f`LCYg4@6vcTtWg zC1dRLxt1h2s^iYf)*oUb92NE@KNc=*oUm#rKB z@`N>;4Up(7lIIco5{9tl)BSD?{DcK%q%dLcp(cTW1ua28%>X39S?Izh*UmTIojZiy zpu3LkQo&|G`>F6DA4a$Ai<38ib>db9?N#}+*K6Y8AeRCc5+a&KZ*#7De#Y0m-3t(G zGw=n-nPN_%PJwhFW+0SrvRy~JgV<+b+`@bxI%q>&&wgBd0KOqkSuBY~R}WDos^J49op46xk`2>%3T4^e4k0uz`K8Hbxl5CvUJflSo$!b~Qm{?y1sfzIv;fXUx3y zY22Cx;GwveE#|Tzn2SQs`7gki;e)107|vu!-{64C{8KW9nG8Q8#8!OsG@`Y}trW2D{GVhd7amjczs6QNLE}UnEu;=+Z6l)pj z=~9IHt4IbOLE$h2cP}!zTa=!QLp>es+95JF5f;0}Z^bB#!r8b^g66bIj z4sS$L2n|*y^7KInJX&EvKHyuDoqdRiD$#RdOtT|na4{^KOmh5$-eQEX^7naq;ry-C znx!FqcWd>}`Cm@n`f}}}^=mfD>e?+Az7)bE(R|`o$GW%s_s6L4TD;1>`{4O2gH0Et zUVM!7JGpa(^^=cmg48Rkd^tb;x?anDVe#2{=ME>sNBeZNrq4N87Y>}MQ-1S3zjOF! z$M@*KiDB?S$XOw|aib34ftbl(UPeZ@&`soIXOF{R;Hv6sDvBdAjCjF<1rXBSgL<8e zWQ%DK@Ox&6K^KOGhEWcfYuBp012r+qbTapnh(slYgw$cIlMzB{#Rd&)ikSZUy1VeMrdfLW{khTf5N?iVLwtGo!`PV9!Ip2we@z@7qd1#Rn06eWPBtwzhh`f|TU=_Y%9Qhe+C;P~Ox$NXJ>!=g)Lh z{QUXz?Jy6~Y{QZiBr8x%Kslkm1TNoVYio*rEqt8BV21h$o3S3!(;WM@P2g{7dw3YC z%t^nw=hTt^b~^nhI(G=hb>9b6xi&|=M)=VKDd+X7gH)*72?R;z7-E4_9z58CVJjI# z!-{qewE_D7LkADWgP~1Y`p_Krs>qCzLx{lB#M=+e6!Mlnm{X}>cbQVK4~ej=t1IaT z!Pcj+s}aY}66YJ|}-*DhSR;MmMg$u8^coGoxCqg>E=9mfFCVccoozI@R+eLCO# zbnjwn14grF!*qj$9Zb@R6ciN9cI~e*NGqGyN6AZ+znBq{T2f+;B!}pq(Q;Mtv8NPh z;S3KEP)>yrcp9E1gSVwtYorwpQ5>ZYeh=OrhkhZYCwCKk49<9a55p#DY$%iBDTO-% zPk7!cC{QE~V=Qt+n|%vT4bmt=!jn15)6}dJZONj3@9;Eq9Q;h($?0# zeLxg0p4rB$F+do?D>rvfrDkXnGx`=%dbBDfP#R_5sJ5J@Pb1ramdbm6x(Mw~LzE>T zyM7oL5JP#4F+bT7g{QyXFYp|bQBcU^t+0nsp+@oRfs@tCf!#1Y_XC!%Et;7R*Qc z5F)2-LVWh!?xd+1OmJ-228=n?ZdX=TYM3=ZStW;32!gtv+TlN+!l|GPdB!#zY1o~~Y={A|&DPJp`a|a^}>*H{@)U>u5va+%+ zXJ*#X($Xrd#N@{fxCd(AywL`lh=a2kEq;t?yCYS6Ws+uGPX`sAyob^*fuuFgm}E(|R(_s0tsMjH*G*$7$)wn5vGv4AIug$*DUvT^hQcR%GPlfClO76XFK+6df#6 zopp6ukPa3R-YGgok^qqI`b^#?$q{~(*wxC($&q0O!ccU-n(o5aCP^R30tqnyw1k+g zE^6521daqkp8%3*ZEdZ_-VnaG(5IN@j13Q`;aA}lw-YOlk9-qzJwA_&OhBuff(j^f z$8@srCm8J@lWqZC?s&Qg>&`+dL9H#wdtk#*{=gn%L|R$_ml8ya$j^vV0^sGas3_C4 zlrD#e*=FPh$q0~X2?@L4M@kb`QF+EX<%_e9mf6)7a`|%oRZd9))B?6KrW=7=44s}0 zN4@mwYcOAspptTquuOqy5E~yc?bs%iI&Me<_tV_>l;+^3bm#F!Y_gBti4pCUsJiS} z2G^eba-MLWVBoH>;DnFMpi8+C+FMOue!Khq*m9e$aFxs?Th9o zuBV&B7xNt32r>s6wnpN@!n zs3EBPT3cl%$Wn03k0htg0qCQ^HX4$fVDSNe@0zR4X>Vn!`>t*-xH_P4HRcv z$TVMG`2)070s@)fbNrl{@f_?xY>6zlxL$5StXoJqD!;IxxVTujO-irzJ+ZU_vr6C8 zG!3$+pVQMG$=c+ON(27j%z+mmw+Jva1Dup(N)2{~=Z_)`heub12JhktOamXp{=oUs z2*otrCxj$!ptC4?jVEJob7I5HbSs=Yr3s2=b zcBW!mk}1--y-P;fR-wWTueQ_!<)AKBISp>t#>2q$$cH7QW*l83j%z7?^UFy;K!HpY z=foGsg(RVlPB(=TY$*KHL-3$Uf*yP3BR328rd^v)ys962Hs3WmRr&HI5m1r%2Wc;+ z%O>Crjpmzf3j@-CBESf@KZ8RW%#(=ZhLD&VA{vtTP+D4=ISNQ6Cgd-iT^%RDOB2DI8u>g_bnfm`j{9)nlVw2} z7~#xH$#-xeMQ4ihno??kD4! vKmG;`{Fq2Bi^s;_qagpUr}6*C7x~3D9Ii32p8ta^`9Rd&TDvmUj$Zg*j2GV* literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Visibility.png b/Vehicle Live Risk Prediction/Images/violinplot_Visibility.png new file mode 100644 index 0000000000000000000000000000000000000000..c87198db15e368d3fe612865d6c3cb512bea2a2a GIT binary patch literal 35478 zcmeEu`9GEW`|e{1B}1uHGL(fR6rspaN-aZ5A#*Yh3mLP_Tcv^25<*1gS>~Bigvv6< zGL>l|Q|4(o_p{oc&-c8}>-+)dhqGV1y;W;H!+W^z>%Ok*em}W>?F!4T!@Cd!VZmO# zq=g`KWCWqT&BOqIGSBl>0RDH*_3~}kn~s*Q9;VI~h=!@Flf9#>z0F-dcME418%GC8 zv9n?lC;6;hU7cKH#l>;|{eYOGvz0jC2IUi6WT(?rJr@LFGev*Vq$#G_AjnfX?4=90 z?!Won@9BN3b8CBkB{s@jq6bU6Q|-rv3kNvOT`ugqb?Z}dlWw*_XYV_=^lY8%{RYe? zO9q#xy7Xy0Y&LEdcCp+@zjf;pd(Vm}Mv2c{sJU-p!%RZ?5eD_}!C1gQ4`}}L z5&!@Hk^gtbMM=(S{xfIu@VxalWs7CTrBhp1SWr-gTrh~}SEE3j%& z_~nwNU!;07^_qM}?gg{4mbba4b&rIP9=#A@VKdWL=CS#2DE-OsEmlr9w}w&<-_Wx1GBr&YfQuM8eb~|T^=k*b zbMED52hv@}zl%Cktls(*U+z8EQE1bC#{KtgZ5^FSl4DKhtlzfRx3`KWikowRv;%QP+yk&EG%XD+|Tlf2VcxrW=g?1U%3UczGRo@|x|f+1^5%u>67oWgT85-i@6| z6VLtnl<7a^t`qN~B(1u*h=ccsS;8YDryg-Ryui5q{&9m_&fWg~g3N)T=Q=gMTW6d{ zu43CJQs3rublmE9s$+?k_bQ&L*{0~6vvQg4E4#U|Jl+18(Cqt8p1bcc`n%UoxK8%k<#rMT)E4X56gzqp?7B|6&GhMU2&%tG zVhAd2d2{ZjauBPwq2Zghwl-JTN{lSRj$aa#eYWb}Z_jR1G(#0BrTC@E6h{Qw|!Z^13D+EZ=9bhtc`@#DlDw&ZP5%6hv)k+WY|XZD zgvA7P_ND{b6kb^9;aB=SVm95*?WN>Z+jZwKn3N2{s!mN%4mxrA^bIT)E4%!|%x%zT zg}ZpGug@^nwGBJjooiC1JTX<^F>8G82&>yy}yowjYJhR);xLgM0Wg* zOQGvTn_!h7Y;wp*#A}-)LW(af^kAb|64$jebtYmQt6Ph@jYU%1dxqxQQ#HF;WcuQV zpUYiytXhhQ^ZtVsHK{gCR0*+lwm#b-*>XP7b79P;KKKxRx~Th>zJA8ScR9_64N0S|5`5>MnV?G^zcF3HW$)5gdT+8d@k;ErB&=;+W6#U{ zSDv4@7oYCbHOVe>8K3m1*@#u3teS02JNmVk-Wx9Tm>pmUo%e#dSn9Z`Ik8f+T}4@I z@yoap%2WR9smNlBAEltxj4c)RNWj#jW9iRFwcX1Bj66h})Yue`YiBRCoL^9n9gg!| zw~6)s(PM` zx6*zG7q}Zkm;CBb;22Sn4ZRBd+IfDk(zD>DIRhJyeMV*`-Bb;P8UDsfn9d*{?zcY6 zQ7_G5S(;^JWT@-uMZrW+%+{Bu?cQ8VU88Kw27Z@>fL!|?CiP6LteXUcq5!wf&Q42W z{Dl;Q5{LR?oLTVc?bQawV9Y{~)m!f32!33*NxNC7d{>hDmPyNO^@dp9jLG(TGmfi2`fe4!=m=Q+SOqfB(FoxVSjE=!nbFHYuMV_ zhJAm3fBvqdq1CeG zsrJ;+iT2bM)0WnbSx3LEZbKIh;ykGsCn*-$y!nf>hDqPV(9k|VKmY4!q>1mPTsGvo zA|B0CWj`Nry?XnW_u!;~kx{m;iH|lcgkDpxu>+#|Nf7hl1>7!76%-V>jYV16Qa0DF zXtzL`=k2glH2=bm4Pm>n5_8@&|L)zp`*?YC;dP9Rb9J{j#}(m@gG6WIPV{3L2SG^ zXrTWY#M=eWl?*FG@a+nuKrKs4%b~LNiH?!Rup-kshUp*ghrgIycr5oWcXzJ7fWQp-f2ON%yS`o-^Z zvtLGKH#^SP1+jGl8gl!*UzZF6e8bn*H*ljG=2&*Na={fYGYJ@`0;28nG?nK3ML=D4 z5UKFXJyvd8OWm0n8LFD+=N~+mn>j0bJ5PyF=+G~V>npt>)90idIDR&Ic2-Ti>I`}9 z3a?Mn^;b^37Y_Ng;7A` z&%?iX*9``R&rK$L2)gDy=3XJNCKzt}^a_vXrDvStT^@rzsjwSu;IYcd@17m* ztBH?Ss(;O35|osP7exnsiQKAe73&sZ?6>6xIpMgXqRDL4N}O25ZwVL^?&TlnT*k;~ zb|0iH%b>a0#>S?6EZXi>WMntlvmihJu%Sm`ZnAKnLy1H6nq?JbeX6&{uV(poPa>M5 z%VA&B4f3*J)zsPnSERwB(}RUUaJ;`U_p{Ee?_R@>WxMa)m;V^C)xcu+S)WKPUmJ@l z!Y|pP(-^|z0h`4R0zz-OTc%jmq81uR`Bj36m7WWezc-^8Qbxiwb=1|>iDr;zg0}K# z5uz)-D`I`+JWnVZ7=2cM1~q;A*7-F`GW^x6eXrTGk5c$zV`2=fNC2Y4U%qTTu_T=W z+2gRZ{p)LIe?AcGm&gE^1522tniUI>Q$N$FhRdP!0*cz?W-AlXT@@Z49^#w!OL08- zkYu4n^8s9cxi*?d4IHbqtuU8-CYduSZb80zZEe1kg}3M$lC=8X!7N@G4@+e0x0Rw@ z+xu=4zbb%pXCN|UL*)Py%{nO`8NK56GKq$c!TLv@>0vqdtT;c4XaD`-koCDbwis6* z3gEk3@tRF7NWbflE!j#AF9|@X@TZ?%m%*;YNckVoV`tAd?nu#~Y zlZuxhEM!0&4|r1jJV|EzYOnlZP9xWsDAIKqQ~w4aeQRT-J3TcHe+lP0J782YfX}QC z<;{h#p3}ND-tw0B4E8lV!<%z10D<1tEf-5)HZwsd3JQH5<+mL6I}z}{meRrn;CM6RD-Cnru469Ro#Dh8$2mM!2>qXEnV9QTD1#&)zR z`~s=Ht!=SU=&g0FKMf4|?>&S4@ztk9v9NP`t9`uU$1D7{DU%SBEx*4x^xCGXT0drE z%jf&K@h_v!HpBHHuySr!u^~ze_jqC9Spg(UIja1~8t{@t{h4$jX(=gfw)1oTGZnK6 zXmmi~2*4F%`9-4g(`V1x0Y&~`2rmhSh;O&KI*(4e?^33Tu(Y%eR4!RMS+^5p2JZ6{ z7i0kOW7{C<>7o!?Ozc_}?616)()4K_mJ(8SW=^>(I;j@Ht=p8@ZE3tZlr;6vxidv_ zE49#~h(I6|qPr7zMEM9o?XbK8Kfkh7oM#GJU!ipwjAADY-(;Wdv^7RRARVw19^j5^ zm!6d{6q0}*E|hpxY%PSf%Vr7?vg@psAzipLw zq{22TUm5Un15h>v>$V#zzG3`I#Y9TX$ozfRCgIdHKx0kK&Fza5?coH1*6i;^fXe~p z=u&`~r)$>m9H*rLU*cUF+@|P;32Al#{uK{xNCdbt1qD{uK$X|h53|r6%RZ3L&fNQT zDdfmGEkG}+hYQNw17L<55hkCb+D%?>pd;`)H z51yPLSS5|rnm%xTB#YFxqV;+RM$&1h7GJ_E`>bLRjh&K^CONpc?6kDBz9wPAzBYx6 z1TLQ===Dv-G#aveoiU2>Tb@IoIH*6jI_g`<>9J?x)u+%w#$LUOVyoaI=h`->Otv#z zHX(MX=NeZ9w@+l1#41ZA_w&bo?w{S5t&t(XpPiBOn6Y0h;yLS7y9oh9Qu)#D(~XUd z^~3W}t)8nt4}dJCu<(qNp>jd#pmVe67|fm&)XR{WPmjTvNaa>7>l1yi$UUn#T@Q#> zXzT&UwNnlyq^lC$#$LGC?v4U0P02g8{`ECygKn2N#J)7gL;=pu$aXg2me)(+OO9U&|%1U>=z;S`!lzY4weZbR|y+4Ic@ z&3c#lX@F{)h!8i)fzoRdijme=!Z$A(0Y^7YOT&#Ig|9=nWNfFpvdbaNpcotXBQK%# z++GCnXAAp8gZLj<2vXdn%!m51e`hld-dP@c--m7e8p4Nf4TOskRTQ>2 z7gU6v#z@)eggG8!L>`}ngoF4?YZ)4571?$3xWBFI$HBAo{Fe^Qxxk3>f_%G6FB&1e z5jawBnM*2cM{_-$v}Sm0g#B3k!Tp?^nE*kZ&yp)x80i;}7r2aHv#_!XD&LKM*Yqyr zpUJLlgS2LUCh`p-VPPy`Ht5v3bLT#FqJPg6{_fo|_&B2k?Zr@k9*fPo-mtK+om4`y zbWtkUDFM9?T<8BKO0stUBrW<-h1oD}lK?lvPpiz&&%@;UCVl$!>3ZajOY&4ImHo0k zsf&*7e0*hPWoFd9)30uQulUL5>|aresbLSACmX8Jn=mrCI^wxBYK!1OfyXglh0OL8k%J%3hz zv1W5r{Ae1x|0N}K)f^juamntl@M!+T6=kN;&uzPuQ3G#N9p{eVo>TedOL;)kO;oK6 zgkgH>aE+a{&towax#CGEDI>1jAHe>Xpx%>_mUcDt{GZ2|#u+O$Znm15L-yu-Lr{brBtekD!J%_swamGTO<52^hwe;VC zHieDog8j1;C)8OGsOwxk{b~W1I+9(((%$gpY_K~36xi^^`q>EUzfbY$U?ODHuO)ri zhvWxO6Y{;EQEJ)Z-S!Y+Yxpze1CE2@L%H76Tvo=>y1a3jyXMY^e4lQgEKx!-cOy`NhTGcb@4~z|GCFEg_lTuhXhO8ZT0_nR$R=hfrud`({xur7VcoV~ zjf=2pca(RP_9^a`-Fk92Yj4;5-&zWfj+VU7bR0FYEZ_mQ~> zBDJ*leprM|x(j39+Q+`d2wahz^)qH`uj?LAq|CET_g9o$CNVg%(^Q4LiiofUz61~8 zf2yAXw8kVP>uz-MqMK7hL=7SO;6vQO+l~dOgE; z^(W(_!>|G_oi+;w+(gj?HbNp@W$cFzQwwV&kAoVk&Ciby0}>Vy{R1@eyX^-m^*lX2 zWjB5o&`m+T1Tc@|wWv!YK>$kHUA?Ig!VjOZCYoAxWTmBD2V#eaibF4fh+Ykv-MW*_ z-hV>N7C$Z^KmUoNH{U`{B$ny1G5zAH7m<-dSfJf^>%WbPI`ktVGBOo1tQ(Bz2cJnv zpLN&dq$GNto}M02LwUI1#nEQ*8kC#k$L2GVv{a|!T8`M6O9ZQ`sks4Tib@>WUKjbA z*ok$IE%Yw5gq(Kk;?8*QGgGx1!M}}*)oY|n z#rlr+B;umz6M?Tp(Gsw(_FD_IH~#VGVF1dEVcy6yQNgnX)qX4N>fTa>Pht;|bQRJ%R7M9@ zM~i^E6E!GSCl%wuEcD8OG&+OpJyQk9R{#Cohd_?Wer{-(0xInl21cC>6%i4bljOC9 zal47OTO}|NCBl`3YeHKpevM(KpQ=~t2t7<`)^ppiu$P)2{sdc z4^+RPeBlpGgFJodA@Z^ga^Jhpun{ufn>8@RZU2d^d4)0Znl7TM1=Sl4pfK1qy%Iig z{5bLP9{xqxOdx2~z)S~kGmRe-eG zn*g<@Jd{7xQ{TOMwd!wi(s3;9t^wK)2B~? zo_Gh@G3QFC7Fv`6ni9jVLp9Fv%NBe(B{EA}Rp&`=9Hg&Dr3d4E_^BCa`qNIKH$w(rBF%#eUj_aV zIFt^LGWp}ZSz0DduN18;yTxk^E3Dc~&9@4ws;UHS9Ck-SPJKh~u$SYW)j3#Y|6b=o z-B04shd=>r*TCE=vA=1h^Rz3O$gWFU==b+YxOdVoZk}QyckWso*_fhrTKtAAZBQ1V$>v}Oo@SFjjqd`r(xj$3O))Da{6!Tw`N3@OSHHqn6nin zuO?c5inyh}Ft?zn*wp+*!;!ze6?UllN}o%p`|N;^D+|qEZ1K~fC*J}kqfu~r#+kHYzOrfdXpR58>9!VF!2W1>*U^i%MYd5+|NhsHuS$n;>O${TGy}&`wln%2__j9qX1km+z zqVovSt=mrI;%|UMXk7^iRcFUzAV!Vt%-X-(J{o`<2kuWt-w) zlJ(a5QaO|=ufoDOCNuoqA41wzde!*t8_UV@(b0!_dy$|8U|fuV?9Hn*&iy@8{QD+u zFl*xHN$vcWLW{k@?lXPq!X@gh!0;;@?I${*1OFK1-4pkShQr&OZWTwYs zz3ysU)jWOThi*LRsIhEx0fM&Tiem^8|F9#j^2w7o{&NLB8}9NTXAm%6{?ip>=M963 zWH8tA8+s+UgJF@$>aZ_2&m+`pgtj6gni@lxg(2c^bigTLOJKJ{kf^VQ|6 z2F_SCCUH4d?wNe*pLc~i;QRLNqmNjb9po*)h;+=u0>=$H!nphhy|4^35?= zD0P@Eu!!xG(9jjpOTFWkQn^BN>qy5l^zQqBMh?XY%YWC=f5TnKszgpsPR0_lxFgJi zN?%9ho8&+BF(OmC8RLD?4f*a1Bq{-{jYHy@lAZdDe2Ze$t9M~e8hafZ^|@(=`>F`T zTtVh)s9dXg-evxs}sC7?M z0$7wxy9VSNJ12c18}%(8D+YTk{+JwjAJ|31#0xA6{`dQajs#^!y$w+lO}tms znVj3so83n}eY#`8C@`In!(=T(z3tB2Zmxsh<0jsB3J5-Dc1 z2np*rFil-zYF+v6PFwEbBdZ^eX12A}2GA{mJk>Pe`l$Rwd_Nil*abiYNN#FU{d_jK z%`WFc=)Hp|!v;7%L5xjF{<-|}ZH-u2ZNkV8@(X8!oN3SoCqd5Z{PcvwC#dAqgj0YE6TAWE2Bz`- zkE7a!>J>l|=>R7v<@v|_kXcf`rF5yXv%TAwpHAeGnyqXQ{0-iz^JP%C=3a{bz`378 zPRrltt49IKKS~lrG#1+5Qf>jUM$k5Ge4k`7@UbOI@(SRDb|?qE<;nBktbhB{x*2(n zh98zNzxu3$=@J)OjokRi`?2Cv_b&2Ide?Y)r;7e{5GF-}>W+#u5O&23j(N>ir2+zM zz(W{-%fux*Huv6X%qT<^UQ{vpCeHd;i#n5^P?U`|;$UM~bdYL>@@nU0Eb?3ld~ zj>klDq$(jRJL1-%Uw3V9%bnEQk6JChY<&-~q^{Z>Xc^enrgiRQV%BP)%*~lML*aE2 zCxnGt0wn3izTj-%!#k*OqjxSzURi`@l`Mu%#hmfMT&=knNW0R)J zEBoiPFU5`GgFGm?sVU!Cl4qc$eO2vcxE)qy5=srQVC?O^>(2y4HNv+GHmH_cEDi?T z2W6>1%@k}dHXnUh%-P>GAFDW*K;v(DlzM5_?!Y)Bj$Rr2AH)6WtbI1u%P?cNGZJCa;B6!#sJ zwm(={mEQ z6tA57SS%;bzJt2^@}P>UbsLor^P#Ew7~!y)6^Q;iVL#|gnX3lPPFn})Zeirg?|+!Z zUSRY{J}dl=9A20y|74I{Vx60Wajsf?vecKn1M5M{&8=v!VX>u(d#Q;}JRr^afS< zB22oba~;R0wWXY%2EX0@%cdP^HwYLzO)mOH=f)F7Bd)Si_CNBv6nWV#{=UDGlIFa0 zd9EKXtt_z`$j|iyy?56iN4q2?B^_5#sAjpwbP2!*g6x4}NFDaP)O{dKb`=0#E z0Q9o;4*MSf&fA+gWc#&@$JQPJ?fWoI>ONTKMplyB z%gH%zU|r|Wb5_Xzz-9EEFQT-Uu60i{(^l~;-5hkgbj7vA%!r*Up3 zGJJUIIA5o{=$A>J=(pXnT^4|)(Ezf9H*-49Dc`*DwhENEjEV;l;$7-P@Rm6_7U5F1&rh{e}3mO$`%1`E^ie@3wPy;%@c)BA@{O}^|{JUSyER{8Ya zK`1J18=iA#L#T-OwS6i_gSH&g{=tK1W)&$sPaPXF)aoxrVxs!p=>4XRSkraC+0TgR zWLbx_A%*c(UMnYrgc?>bRUy}+e{PHe4epr8LE9QgowPqeQ~XhU-*f%God#UIiP}>L z=32q~NYdkH4oS(A?Q}Bp^FJ;FC0GV$-H$%_IZwNglj3?h0GtvOy09|;vJP3b4Nz?p^(KFX#=g z(lcs?G^Jfp)KvI0)v~qj#4Sq{`#o4=LNM>cc^O>d7?(4FDmo^P^D(MlBFDb=7TF14 zeV+eXcd1d3k}TWEb=<)oM+ozg5hyv4B`u%3?G5E14sXoYhSo=qPjN}xzewUQ-(E}D zY{)UGslIGWOO%C(`OCn1(sd6{qgR~nKmi-YcP?%^eC2%Z$hm(wB3CIBePs)Kj?l-$ zK*3F~-n;jn3Sas;Vt9!QfBxJuH0(Q8L}Tq4;BVOWiSEcBjpMprTIaSGQUvJ?w4xkO z&(YBMANac^SG`)~@Rh2M&#l{OaoqLh_}uBhp|pDFtW!Luv8gC2aa(=n%WuNTTog4~ zSXvghVgtxZN^JaK{6Mp1rg0U%ad(Oz#qKcMj0K3r z)l+aUYJMPIn&ts-YJ0lN_j6YO)buepPK#jdQXT&(-N_+XNLlkgt_&~t?0{$+2t}@x zwed`=mN+W44f>@4fUsZSpwcCOi2WfG*>nW#Po0}<3v?xg zsMV&(>E}h@K|BdbfCW&B9DJPaLkB@G1RoC>Xn@_=Z;1cgFE%o_0bjgFa6w=%J$oFu zA5l*tmM|pI^#>GfZAq9uK8szNmHxHv-|y!4tWy8^Htb+?VW%8oAKml_l) zH*^i}J;dy=9F=#Kc>eXPItb%M1JWWVPM}_m`^L9!b*OgIAs+*_38_i1$7+-{pBAAv ztabpa9b`JI6DLo;DjFc18zT!n$%;(hxlQ<&t4pvTG4eg(SRe;n7_feA95w zXB!wcnF>)P8z?J1nL+OYfRJrR_ZQo5bRAafQcweK^k#~>O;0@yJ#c7Wa{adKw#H;? zTDLb_wyo!eK9s{VxPdxq3snOko~)BtMz6LlD2n@sM8*EgvQc_`XpoobV4We1+>@>m z_4~3?vXie8oe@+q9|=cG0yk!T z4h3DAy5i`19H{gRm<9uae%_q`l~5id#~6na15gGpfCOzWQJeU8YQo#Zw3ymSK7pv&60>X7LU3sj~?17SH9AM_H1 z<{;K4QeYq2L8wGMZA+`ep;JJhMvQRv`ZjQTSc8O${yFe+yHH!v)6mfFa9!g=zb0vr z1WUb$yJltrSnYwan$x+3KDg5U83yrWT6SYV;7b*QTh~~Fl%Hp_>KVk$7uaDMN?7$q zBVf^?Zru3_#M(lAFQ*Cxd`DBLMGthmLa!AEl(9x93YGGAESG@>qHS!P1Gc*~u*0Bk zk_KMCEXc_0I;;p2C(IuVlI#%9*MK5TttAfnOS=F8Fa@sKcCdq3h!z1~`pRi!`gV+{ zo}4J)3o=+hwYm^Jm}umKK?Fx_kI|>iR020{MieZv93Ae#(HSU> z*|!b(H$-B#g{t#XSjNO@dU=7?1ChA|TmfN44TPefOl@UQGx~&mjdl9CGy1%z^VI%b z@L(wNYs)r}!M5e(k8M9`$+QVHaHXBT38mIj!P_l$f_Zikrs4_X%*!nA!8Zp$em9B5 z2GbPs`1XR<#Ygdv)9u>a$XX-KmF$e)DjWKT8Mu4F%sxUGsuFgT7f zQ|-^_S5C!}{*fmG)ZTg;64D7f?L>MCXVrT-!2@bKIRef3uAt78_y!>VP!lR2P$^*; zoS1VXspDtX(p+z~H0JcVeZ=n?(PyyNQg7-c2!!+cn%Jf0M*6JI{WKh)eSqpo@K&Hn z3kV8M`ggY#6B2pHs*66Q(;2IQtrd{7F0&3(e71m)P$p1})k2>`ejEPU7ze2v*BOm; zgi?V5=*z&qzrff`Qxa=pCd;GE7}`pEJq0yPuaL>$>fZZwVj{iHiYTv;6Yn zC?TnH#}!_p?zG%NB2A%R0MBBZiu*}jlbs1Ugn{)s34G_%Vq7L0%q_&Ji@?{gfA+3ivSUlI%*%>b}nb{IN z%slindmKpLUR&(_OD(dSf;=Of`sNr`zg%efap(%KBv9abI_)ztyZI`2(0XwACG8|D zSyRVXiQ-S0jyu>B!eW#CS-OoNfBFIrvEIIGW~Y#4_dB0+_UHzk^-XFI$c~KI(kNv`C04YQE>p>5GJ!27T7%3_<^FVgttE2$-nMXqt=|MBLs<`le ziTJBfZn+YQ$nm2sCchw)OljDT{F_v ziM;-^gJ z(`L6L<1r{b68DWi3DdU4ZUmMuW-lB_Vho zmsut5|793FG?T*BZ}0i>MUHR{7%#k0GxR4?i}|0|WG66y@ogL*0v{afR_rM3ZVNwy zG2<(YXDKwbC=<-5v-T62F|h3$hFihLr+o7uf~DRtjx^0`c(eRu&CDr}?eZ{91wDt7 z3Jp6tVlfm}Ii;m%^+p-#%EN~Zc;xYCYUupg|5L#GXv=eaUh8gkVYpNc9|JRvgmrBA z6f+sM3Us~NHf;;ZIW15aHpL^Z(jrJrn8N^WL%jf>{QOF75 zad9~(NNx2W1FOhf%tjgcq88@nX+Yl}MaO&sl<`a|9=KFdP+JgzmF?Hw_n99l&FQl{fLSOgYB|uODSOYcI?<3XOmOV8rN+Zug zLv_KMM=ZYZ(#;1;7t;)s~k1Fc@Agw1Bj!d~2tFFLhDv^kW)y z8M>p?q6i$tyAT}7jTR4T;o}S%sWz*873k0=i@dZ08-ZIFTK7STax{%W3D^#J;;TA3ItH(|E+?RJ@3`gq}(< zZVHGf7LEU`^b-)V-MaP=1IVYq3O@~Hj^Kwc<}vZOWhDc`BB+0D&sZO@qapwJulf6v zS(&-I+)CzPKPLhrJ&Bc|)9By#!Z(j|3w#5(4O*J3)Mc&xFSkF0_O{sAq^mRXx7T%4 zgvxhBoJ2L+rGcj`N>kJY0Dh62g72@_2earN?}l{I2{u;fGVrMsf6y(Wm%p*@d*wVZ z>%d7nB<`a5&u~4QU%x2l|7AY1X7h6W!JdAc@bKJ5bbyLrmo@l?Pzxq01)L9m=KvIm zFc{q3Ao!xgE^-bdnYJ_0;;w*XZOI@slxg3%(b}}1HZ25ABKx3LOE1U)!xnuwVhvh# z73k{(Ohu%q)chlsl+c&+2d4+B48WP>Afm$r=#M(hK)1j)qJ9G<@1O1$!Hj<}o)^5= z^>tBf;+xFitL`aW@-CVq)I_x}T|Bs(vlnt0YSh3qelJcg_qcujWP6>5=sK`?Xjh0% z8mp2Ib)~-a*;ww>D}ic@{T6M!6u5@TFzsPU>yDXYuPQmcMyq~^oSU+#6^^nWyhn*= zi(mS?rl4Ieqrd?wVRY@;p&bpg)#LLjleb$~BQUz(5(7v%Yk^xJ;l4h}YR&)O_o#M5 zdP}H!fjVdVoKFi^nBbw3RtW593tNN;t5V?K{bQzHRW*vo0QDW7?1N3y$+2B_{DvQ;hipP(Sj1($aAcv_;p6aUd{m2J_ zD`#eo%(C<{#BYh5Jh>=Z>bBVZcB72VhC?Znx*`QOkDkxeVZ)E#AN&K-^2Hl_{dKP2 zx;0|pRH9_|zS@t8tVH_Djc;}*Sqf=0cCAGM3&~E1MhYuIgjzkI|0}k7;ZBUY;Lbv7 zD!WlTwPXuMZ$i?{6ULxYkK98u)%S)~dWwx^-y^+|0Nw{LdNQBU@y*j{ww<}}iG=)( zsi^pbHg(Ac=l^13nEwh4EbE~9j5_U(OOK!q8@yPSWa&F&8NPne6N1OWVOk=FIxw|B zn_{s2d#f_~caAw-?U9n71p2km5e(vh^uh(yPB>VaNktZL5Ce*-W&W{piwjX0cKw zEe$2bUelQhOy*ZDXxspl-R}IE#+n)vn5=?rwAj|+i&4pk9eB$=KJO)W$@eINi`qU2a`8ysMoJlK$iI9c>`+Y1)v}9imfL5c*eMRP4iK=%(DLI zZQ}`~w+7YQ`^(+J+-eC$znJi?nF0-3gW}H`!-UYfKKmx0zbq3uBoAlcw_3;BQDmnJ zIF@1N=teCa8yVWgcHeVDkTc(T%e}fJEBkY=?4{v;dR6#~l`L(P`E=lM9D9CpYdiz=0yf11}( z8!GA=zLqMP=L<*}%xoG=B6LW+4RpdDn;1H^yuO;Nfzr^Q{;1yo0b05EN&}FJptRK-K@S$t{Vi2%X z#$gL&4~&b3XjUM+;<1uJ+2`%k$T2l&ZgGX4EY*xMney%KkH(En z^Zg5(Al|YX1t3i1pqtS7gZAG-ctM>sx3sk0fzwdbu=F}g{bat86cV}u-mOp+S3wIQ zx8LTxe!e;OPQ_^zs8F;)^+Vm+(EMx-=J;$aW+-(@ptvTb>{u*}_StMe9-l`QH^+~q zT54T7gL#J=PMBcMf+GN8b?)^DMzCzIo0b}i$pbO;2hUZ(d%5{IBzCB6-a(6w&)f$_ z{UY0N%3`Xbu#}WkUJF>XGoW%egl>Yu1LDS6K&6E6DjEZP#cA;)@jmlG(`P(5Xv4+Sb*QVxA*eSpWnIp?6QGvJj%n*mVF3fXTG z?KOI<;DcGiw^)6Bod5*02^hzoFt8j>0$Vc{FcL~Bk&;vprHy>QZC|XGs{JsHe39kb zfByNW>*P+Q$FZJcQE=xH0lP#nkU&#F)A#SJ_biatn4CS(B})XKK_)c&k(0u%LF3a! z;xaUREh3Flb}%169Wv1p7Ee(l4Ym#BK5+VQo~ayw)>KfX)}d*m z%#sPYegzumFv8#6$gjS+mDw!|i;Fu#o%=uss(d#nfUKu`i=49-m%7)KAkVKcM-FfjcrP zDjhiTE|TTt%a@5;_RpR^)z319PVt4H>9bbD8~8ULVAj!w&^Cz4fpK(9@(`HpE9Q>| zh~>&(<{FDj2cJFJ7P8&w?=7QSzqU zr4tydEP4HM0d93xc+A%3H;>-EFUKxe${-)?3SGyrdUxx~+^I#VVjP&h1h4^dt~G%6 zyC<|)D!|d9ef##o`>V4-%*bQb`qhgi!>3l1R_s2CA;&HO!l!FSgLU)e8g6!0CbCA} zoe#7cZ_eHT(4&n?snC8u31P%~egSGN;S0(k7#sLJD(GR-b#skD?`i{2B`pcSeGz;$ zgh#%7K)TvnC5AZ0#bzvn5HAw&8>9hlxpw6D# zG_7c}!^(QA=4MP-Sfz;|NWuq`Ar*TNJfRIItAO&6S-b<<%e#M#R{){p`e6s>nbQ9J zlc?kmVFfquLWdmFR8@V7NiS{E(&67YpsNRukN6jVW?xY;x3aQ>ZbY}PmbZ#;d&FoE z(_CmCAtZf#TE9KAu>yT(cIevY3<|u8JYdE{9zfgni%Aac;O|4df)G3*(%OQEjfaw3 z*@y>0g7!0!!!?-5QX8wG;D7>(V&E|(o^f<;-%=KZwqO7vM=F+jK-oWI)0V`p3jzHn z)RtEX%i3oYcE0j^3x%3a_D-ey^MlX#D3SLNV}^hL?SgE6WD=aJXYWG$NH}KtgbP&~ zgy8&+uAr3eXCU*n!)VW^4}=r9E)e&-*CB%`U*Cfu8sl%pEp$DH{r)U89r^qEmtnmC zul^2FQ@7q*@E(;ao%f4&O5Pyg$2+F_!3|P>&7lY&UG#; zeZY&bQ-Hqa$2Q4-btB8!6|b$p87H_<7^(T;hABvM+NP$acly!xNoZh4rI5dl5fMg2YUZZG*{q1+fMCw*@|R(jdgMe&hi?{A->? zE$CK7n4}!<%WgY(chTk^w7(yf5ugk8B07;F&@TTLBV4kRroToUL7-}1 z6uf%%DiNH#?bjn|z?(PGTa*bj7FbQW`civu0~Kw>-~k@l$96=nJkX~__3|;+{UC}+ z!O0aYyb6Y}^_Xv1AjpwJL3OQ3aq|FLntl#t!!k+uX!4U`6Ffa#VBe%`k#QWz0yg{v zG-ILR4>gnlm+_(#mdZyb!215FhT0Cd2%;h3J{Y{!}{9pJy2>~piSMj{U(@%`kUg483= z9|gUaJ;J&KwdnLNT6SsZm3Y8Li>HGPpQyO`lMR~NDxgF4D5)5Rha@kp~VfV`iBqkTv^@|maE-?hnX>J0c5UcrT(XuwoOK!5fh;{(*T_GgsE zAqF^_J8R%qybc+e6n~8RQ4E@hA=js`P{yGBVoTA;ty4Q-9PO{@bMP>TK#xfRJ{=JF zCa4?TdRDQ?eSLkk?@n3R@uOOY&FnzcVHt-v)vLdlsm*)n zp$TA4CWBVU;^v8d*q;f~&OZ>|wNSvS^885pn>R<$!xf^>*l49SQ=4oqvD4z^;Ru#~ z*(tGd@-eiT8Qo>DdVjk>IxKecR4Q<4fPq8!&hH^k-D|zfDOHMt?pySL7R+E(OO>%B zm-ddr-Oc$IjnFIlgVSKjl;obK2ByW&P)zf5N<)8?^y|-C$3fXv><~Z@r%$_f?Rsv@ z1=|+P6)NXJe+9gIZDepH3{Ps4dGCxyahc| zfFT@4`4KU2;4$ootx4UQi~p``{+7BwR_lNsVuU*bc;BWleeI-UJKd;&7Wc3A#Xj2ugu( zF`|?BA&HE6ScwS;|yvx`e!>TJRH#zM4(4$w_8;0p5f3_>_*G8 zgSp9rK0?^TZ*)3`e3jdLND*R28E};nFrOhq?DUHaeb7^idf5}9Ayfx#fQMsD+yJLo z19ga=wShLrqV4JlVjPHn9V)L@7H7v{J15DfsXiregz2NlAwbVoZ{9@^Io0cGxR63o z2&q(|6q=9MYqmEOs{l%Y4h!|cI%pD75Mt3nW;f5fIHdx9R713 z$+CRj5F_)T-48v*gMhvt6h9Nt4!`@JHkvEo#DXEpIKKoJ&%lgKzU5ns<_KX$#TpP* zU_C-Ssx8LBgww~##a=@>+Pq^3^871gJB#2OHLq;l7Jr1y47QqOny3~9pALxgKwgF( zol#mHQXsROswaaQ8b+Fqz;K^+Qc~RLX_I zoaJb{I(nW{w)SEFQyM=fW_^Z$n?ik$0-FG@XH+?*w9LBrjOy%ug_|?1>7; zyTx8XiP&NssRPVDI$5ysI#iS#YvCXtYCO5}O|g|URA?*EAnmhitD4mcKl{|ksG!^4 z_fOc{LY*h*L>fX9rqYAc^;EWUge%`SX|tfr52`*K&ZBsr#}7z#Y-!y%f+{2 zD8=Zb{^cR}d{nHga`A57;p%5VDW>RS9i1ipPwyw-}@xMcC zigsL587=6&r_c6-vvjDA1++{2*XL(o1xN-+n+bIKrEps0;}hHlzJgoy$DuL5#34s6 zr4h7E1t79%N>b7#T_d+}I8|l`G+!Of8#tJFNYauFR+?_$58qt~WI&B3T2P$BVH->A zI=jJZ5a2)X4{rTRHNHwzM)ExD>A(A;?kfuH(W8$bqcH2&K-Uov)f2x9T3EAOD*Dlr z8mfVZV<2Vzw^NKgYSS^_AU~Hhm^=y?8q$MRK zt$i#l$4qB6p`Rm@RhS~`M?#LVDfgkJDH{jc=sI08n1h~T z0dgSAj0c$=WA@cFNB}Jg!O*b#JP=p|ccs9kqo$=rz@!(J&-*JtYdvbZi9UPp9n2Et z>3ZmV$*3cw^+Fz6{OjBK=1;)+k{xzU7AqF12LGbxL4ku;AhLNs`J7^5i8lxaZum|+ zcx}~d*I4ne?QVh%Sc)?4^Jk=S670KhOw38M;6H2~e!=L?CYuaVOBXk`J7`9S;Xa1?4#-N~Lp}V*0mx?z62!X@_=t ze*+J9goQAF4n?GU3zwXdQhYlWcCT;Fbx!0hh~v;Kc--0u4gmm(nr>O1`2-+%8v@4n8t&biq3@cBH?{oMDu*IGAa zvGp8#TL{nSqhGY{p(yO_lG|d({j(0M1>#K-BnJ#3on72z|qq-Ppy=5wE%bq}3aa@Ws+zstmfCwSZhgq3Ck{ z;dM}Hx>e$iOxa8LwoBYz*lC0S;~CN3M7O9QwnVBw)D=wa+FgHQB^$TQ5$Y|`ztoud zx5Kzue~1DgubkF5uCOXg)N1|RlGwHpQOsZ=uH4wC;_Ckpe2bX7d0CZIOSdI^W1;FYjNW4+h#E6YYNY!8rZOHlkMXsQ?ef(UO63vc4L@5HpicwOQ!6OED2&i4LJa{LkU<(!&(tn{L`N6g$eR>MvY zw~^3UI&JD_oUIQ(jwn*tQo9--)qbXd5t;LYHGj4v-cMtvVZA8*Y44umKQUwB#oE&^ z6m+Lbf6Tcrv1$*_(+vx6t^y!kP^8RuwDhE*c>q?wMG!C%@oNNfSRktWWFGx^VJ0-t zmVt(M(fz|xg&Lsd!f0$0moiymO|gHU%zzUVA`Ysc;|{v~`BR>HxK4jMe0+$N=!=F4 zI_rZL(}{OVPJY12eZvMPFX~4uofRNi9i$pn2-i4|4%F`@#noM{MT<@T^Ti2st%5V1 zyV~j9Kzc&%y>o-)8?-PjTow2vh$-C)yf`;o#j&tVuqIypd;O@Z2MLNuJesu5}0x$>Ld#cjt0n+fH_i=`bKy~Ut4eS4X^~v8Uv)Ud{C4cqrrBq(bGy08rG~v|3KDkM* zEyI#gtZR11`E8RxgYnLMZnl3w6|Cbs3x}SDUMzE4M;VT{du^+|hX0d^?4LO&)6h1< z0}AI{?ec%`33b?dqGP9|Va9?_kaRH~aRL==wbgQYr}KYKBeHve3@B+teh{u{m>J)* z^^9J2D{9CEO}V`9$87U(L4>u*g6|%^J1x;Gz=_O&q;R1J&X22Au!=7KzmDg{p5juA zxL*dHUA>UFk@x|@E;WHQkcOlD)Q3h`?C3p3W}~)m;YOG6);`;_rO9W|df^~175mqn z;0I#BuT<%0o#*wh-~IcFQ-C6iii%PNjdMP;PpIy+1T~z<y5_lc!h08Qlkf~r60Y@yOzIe`$tb8b~<(cW9&>Zpb4Q1E|af9 zDZ}Q)7mZLh2?JZchzg#Xuyu>m?VbBPm%E_$0Z0f3w2rUeDYfGs)2$t5kYKLc=i!#9 zyhzQ5hpc63&vy<-pQa>y4C56FUTGe}r7SMPesTMb9ro?c-{C8}vHl??5h3M)pC!$0 zXq{JWOOECJgvPwNPie|8(gpzc(OLlX-Ebg6Pr#@m>HWO_u*ABzf?Y2t@?_OD+Vo`W zcnmp7K%ZwnM0|kYyZLg2U@-hondFs!UjL?Yyl*Vlq+v9cgIousb9_g+kjJOJ_;pLL zBH-t-;ZXp~%0T<##8~86$}1{@>htA#?v9dJ`vXDy##!8coa|C^zNF;o&zMnKf>Bc+p}z0b6^}Kk&x(qP=`i~a zWM2?=$do3T=&`UgexLRCsSL4Z8z8v_x0;} z;#WKJ{av`R&bn=9GSax@HnZi_+wCd3He*~KerXh~bAgP_L6GsL`^Ug2tF!fVx_w)F5VKmrp zi(-Y9^n`WzrFk~#s&O;GwWR+AFR3IPbEH>9#B}7sj)4dSqSdN15?*EC(svr<==-~Q zgni2ydnIx;dH872WF=?%yrWUvC)JLeQd?=a@4`F*D^bNSE28Y65tf{JJWNaH2g{FXT7^!oCL<%`6bu)L z3DyxRJQ{%s$HRk+fd}oD@DIHf-!?PXo|tPNiP*?$Wh;{qz@x`(c5FQQOUA0ESG+p& z%#^uHC`rPw?@A7$u;#llU7G9p^>K?|cSzKoL6+{D-0lTk61FKC!8ebo**`Ws(bl`B zV!TrQg>ntmpz!oKRqoeG-dYrl#9XfcWjR$4I4~T@PQtg!f-lPvc5#h$9;TGf=@zX` zBLk*Byb|*!l(MXLHDrmiE&# zv8sWC*jmKIM>k3DqUXl&Z9dYUY=2!G@TP`PF66^1ukUU8*2xPxG!9uF)~+RMsXI0@ zXzlVguE-7Uvfos3zgfxg&qC^O_5H6&mZt)!z zq6EF%XB$sjCX+pI?~=`0Y=8K8uw_Yr7qcU-b?~6py}-@{TjT z>&K|~?umxqrs3GlVwx+VJI4njGdSc1z`l(O&^bW&Ui2Fp$wdg=tbLSuyef!xM#6cs zpi<6bpBGAZGdXs2AFCW4OQ$*fPD#D<%!tPI+SzXP5H;Q?P>h3%fw)4i5I9T>US+@# zU4=sfg)lc&&I(uii`Xh|r437#Cu|EH(KS8B=NiVg*&-{gdke2!e#hc=O zvbP;8M8y+#C|?FZPFmT7t%+WM8kB(nbCHyQ7Kt}p@#xH(Yi1}5JWJN?=DL4d-}@3N zEKv>${536n2*YU*N=-+5>Rh^l6tA?it~G=`-SS@2mjr?Q~zR{CIv*xLihX*DcH6f@NXx z79GXyKffB-od|7cP5~%H`XjKCeTw2b33#f?IFqk8dQQsJoR!(_{Xg#CcDMX{z>RLp zL_4+(erLp?R|`}J(#I#>`ju7HbiyaNK7vTj-OVA1!RH`%Yf3(fj;st67bj2l_e= z_O;Fkj{(x())0Rg;;arYh|sXG#tUg2@*jx(A~oUIp{>rA70o3v_nj?Co6D4i=#Id7 zWRi;k9YMzaM*_Lqgsv=cc*lje3!)5SoJS?%A431ZZp?=b=Qp(we|8kiWL?=qxS&jh zCkCKa`g87RK#=CoGm99m^?Mtm0v!Y@rDPWM=pEe zcFM5^!mbB>9!@%aECw<;3ih4M+}>kXw{j2bqAG`@eSvNk@D$kj$oU~@JE{@eWC!CP zV$la8Cih1ey!?xz(6_7y>{mkE*&{A0YSx{+!VHoQ2&XmhDrlz)DrvxdJlg5&65_Ol z50>_8Kc|R8Ym;5rfF?rIC=7y`@^`{K#VR+Tp$_)5=y5o+a_9cv`vRzhM&5u?;gsuYkMDrt3(&WM6R{XH`E$(S48L z2w7D2v-+gS_hHi`(VAatYqmee>QRL&`D$}cpr422mn#(gel0#q2qNfHu;g2Y&bL3i zJ|2dS&vVtZ{Fv5(lZ1v$Uq^gNyqlwidXX@(p4&;$MX;j+PT*IXI{z3+|LlgQrbe_l zBK%fTyiOj*&MsR+z5xEAjS>v(?v2O)#cSvj{ljax#{Hne?D$Msx&vQkBm`a5g!yl; zD|b~}zuQ%qBY3gIcS*H1JKChHgI`?@(zD7tM3yG9gDZhvd-mf(NbcpS`wtOe_6iIEYlw?2;a4b+ze!UAzxSn;R>dQdxzc7x{2G&B>x1+q8}6lT54Zv z9VaCe-DVtJ&!15HqGo26O#B^ACgS4Pqf2}+2qvv^J(C!|aKfPNg--M$-x#<<5#KCo zf^%!2Tg3DxS+_STk-LK`zTj#qkV?P;F2x9fVS-v0V#GTAh_&Y^JbW=IPZu)+A`knN?OM6GzF`uQUz(rw;V+-Oswnv z{(UoYTyPN#YUhC8fa2x-d2sm<+2O5iGp=IvrUtD27;4lrVu7kNI^ z){R)dem5W(v}~@h$93VXFD(6{_Pr*mZ@~UIDD|(? z7JCU0uo5a);(syaaNO^(i59oRy!FJZ#HTHB04|XtabR{}H`n&)6V7r;zmgRP#J!#-+vzZm zH!U41i-*2T?`xP+Xq0iETJ5x~m zso#f*J5^hd(%NofTy`vc^Wf+7(Rd@RFj0@@NEcct_r7M%@%x`5ggDlV;~&{P<>6h{ zpEHPxV>l#xL&Fz z0-RlREBJ7PgV6Yb6ccF!B9r6&L*L8Xj!bBx85oh;^?EUOq)texAq-KSv9zs?b@t@&kNf7CZC}cR<`M!p?`c} zBN7_cxNo#bWDn1AzTC$N2}IN_^DV-#zR1%PUgbWNz;s*U69{oyZR7ciCP@kxZHtQ( z9K&R?vR?^7R1Moexr17C6iU0?h6Fze!s7O|oi{{2=g(^{edU1t0K36s&Q{(RQ5oK+ zt)(Lw`o}B3gmCfPU2}Yd&g0mfv^G~>r@<7n-Th4rGeFshnHpGu)CBZS8C6%TU;kvU z`xFD6D-lnFoPzeL}qSnsoLN1WpapoRSM{^Y< zb<6S`OESs@$?LMEooLtEkM9f2->i3Y6J(0@RxetwnAE(eBX!B|Y?q-Y zm0e++5<^Ib3R@HCy6x_94|JSCc3ycv8+d3zxSAfTfX?6O-AJbL!Z|l2v{wJ zp3Sl7Jvx`Zy{$vevgt`?fBD9nK3z6P0(Rex$c^7x^sIwRIv zT30df;0fGVnF1iCB%({cblyvEB?txUykX$ylg{!StRPTPvmA<)na$dcJb0n2OY4}J zc0d6XC%g>D72l#bt+yboqd#w9^E^mMHYxapNb|3aj@W(WxqAvf`b`@(}Rk*|s-QMyIJzIDs*lge|H|r+s3_tA4i^cEo928XylT7Rt~-0TY)J`Ss+c7UzC9en;>V_!&rMEDM8{yfOPnam_Ike9crAUq z3L)a839f1)sw9AZ;yoP-O~|b)`^KgQgA5G#xj%OFNc-)``9kqLQXU>`ZC`}0(z~Wh zRyy0u%3qaT&rcXW+giBI;7s}6uDBmdbrhY(T#);L))WieU1t8#qeo0~-|t<{3L^tt zh=cmB)!Z{txk(qCF-_y|N6C(D03#bVFPr7$3hLY~TTjB6GK%lanRIbsVKsaEv0^GFu#AVUH_7ALH`_Nip9UlB= zAi!7$R%s+#MqXn3(cNDHsqYi17ej5&wUI_dA-!H1Ty$Duvd{R<#$=iJwB#LA6;8RF zHqW&TM4AeZ*$wE3n^Y7#v;FhWKV+~I+Hpzk!vit0i*B35iwZ42%RW*Q6_ah@Cd+x7XZYu8{&a~4Z56P?P`q5Z{A8QN=D}mSJH~;X* z7tWX3X7z1U3}lV!)lWyUAu(q#BdDpGyC3nb4F1PT&~EI74IX}@1u_sEjQc@NKdIj8=09g71>W-zlCSuq7ef@O3_h{bYk38fT zvD;a8^bSp7xt0>uV2k3#!pPUp-6jr*x2J&5ZVK;Eauf>^B{;Fj%snH$A-bwtgAg2j zDn~~z9}dRhvhnwAzZ=@mwX^aSj^nOvlFf+k`rNwDY`1=9aHi2FW2JSXYXzRT6-8cc z?QS3U7d#V~Us{~Sb%QONUM5(Wj>5jzN$S=O$I@j|1kRxfn$)ST)#m!Lr$qbMq3#_F~kH^dRa4qFepO$QwSV9fv4No_=&G@1*UTBTHJDi&_X-npLt?dw#<->FLVQ}0bTckkm$ zt?f8mlVhwE+PJJ^Rd%CRsFbvu38c+f9mJXRa~;;n%Y2X|Q+F`Ki9(1mtQS7=qyx61 zL99vxfFINd4VaJNG9gh0jemlwY1-@%zP>wuyB`0O7Y71<{&Jx$)O!+fhdQJ88UoA|Bc>%C!vM~~bNezwb_`|`Yy z(w5H^)`^QYtqefaQD{Nzr1kk_sHh%Kp)JcKhVM1bK z98_>E!0@*Om;_mQGiAkM^vFxQ0X=mz7>Kxiiy+3F!JqmETp)d>(Ys@$bF;EaMHr_G z1YP+DdMTNrw;tX)FMZpgQMw)A=}l$ofa>^I{`9=RGF9I;W#Vi94+WRv+wSu`!c;9C zu`0rxOMXN&;vh zKGiqFNM~iw#eI?s$5Fp1aQ%Q(A&f+r)A&P@$ut z*OdJd^VSM;PV95Q_lqr#o&ZBqYLW|^bnMzN$)1FS4xLOiac8dGV0PW^a4uFlSS0cc zgeC$|YPsx9Zp!b5!cOn1*Lt`NC5(m|Xd-XVR*)vG{XZ0n%KE|mX$3f(4lKArg#7Ex z(bK)#;%M-h4ZreTJ|_xUiLu$lJ%a2m=AF@Ef&*+lTQ^7q3u~ObY?yJw^Z&dK+P`>5 z4o?u`Z)_(mOm=)Duqp6r|6|~)e27GuZ$4tR+5%evzh4-7AipwR>ffL77FZ}ySrFa? z9{<+}*MkydV8h>5^Z5nB;UE5i@#5}3>!1A5pI80ge~q8~`8?`nm{b*JXlST#3QU;9 z>V;tk@~y-u2RII06(L$LutyGn9&Sch)RgOIZ{TC$flu7dCI^pk;uuJbB;bWjbdQVe zmB_EXE^LUU?I4*waZ@J{I8mXKQFid2G6h@{w-u>4Xe+E3VC$Q|Sh5Y+AkmEc0K~@f zbp5uoUW5Y&@i^cFEIiTsCU)mOjTr3KO!R3A zCqQNfPAatRwyP{PCPo}X`T)Vkj$y|jNq905aqHGnD9Rb4;Yyor=1-pN6|b<|MHUk; zYA+e8MA>_w^Pr8)>~m05RNHDHWQf>Qu#xAkC@;T*i6|fR3IPVm6#Vc&I-CZefIg74 z%nvPmIxm5P^45w_!`kDr5JRN>ec!9^KL-D+$rVFH{$Qr$6~TjIDu|jS`Zs8@bm1-W z0d^as7$v1eFs*kUarhxoVFF!i2kH`7+H1osU?>zB3nBZ#GD$m-NA7^ZI`XvG zwYke(LcW{^fr~;B%-p~GD_N9yl>8Zp0D2gar{lrLO71NlBqJpM#ZzcHx3|wJP2++e z(8rRXc&Ys|p|k2=g)OH32(S+oH4OJxFle!ae2{p-eB3vm^~Q9pA~(P>5QK3GRAfF? z3-@6c78TWSaL55yuV!|uw{Y1I9c6~cOM*E25wCwPwp0%`=FwP12wdW<+VZdFv-*0Y z^qE^j|JiX7#bfzFX_uN(7G5MAc>Isa#q7p#wdZjg-k;Yts1{Dg=lk1$;?+Sf|N9(u z_rkMFDC8Kx<9}{D{9s`p?LH5CP0-Ndw$jTBkP!{gW+BR4&tLh6Mim=H`U!-C2&xPW zpjEMG2&O-V$!kx5jMaB9GQEPqr>dBH2^9#Y_#*r^rg@BQMl3xiM@K@8v!L5o6lZ={+FRnm3!5ogc1d?@-q9ilzX2syru!HWlZ{e zC|>yc0H!m=7zjC{P3lXj-)^y3&0G8t6zk9Z)h z`t&CDWn?HWDW@^L^W@n!%piM+F{s2c%G(}2n*4#BRuBm{5l%VrhC|EMr^N-Ha}5Av zocHix>gq{YRwi94By+{c>w_gnytq(HFpi}|KBP%3uZb%@F~fg!--;?o=Jt|_zF#{# zq29EX8-7U-<_J}g2-TtUyhEmh$S-e)nng&7Oe!OzSz)DuQc;J@LL$EooBFjV@iis} z;K&1vn-38YsGZtm{gj!I@<7{lS_83{OrLE1J6N82$5l@T}GiD5=BAgt( zqCI?~fF>O-;DnljO_@D%O<|I#xrs78R3?;(>1$eQsOx!=K%{gVKoL>)}n z#gKlOV~(9JM&&{@+88^_5FhNv2h2n>C2ap#$myz0{D9h90K?UsZZxkSm6T`Lwu#^4w*YH`;+IT%MCvXAb5<#0G2EE?)=mV?+rvmS_rD9@4#;&V8wqx1#xffe?G7l2@4=(U(F!O^jyb8Aa zsFeAX$l$xEbwm$ihA+|rCkm|26KHaEb#;{%rlQM@s^lQn#s0pks;X=#qRR@!C;_#& z7mslTu%XFhMAEMj_xQ;&i?K--qZ4m%Kwt6jB(iMcJ`Ecpx{-7B6VDgPS0Vi$P(f=5 zZaby(&Ri>_tFsfXmx#?9CZLZec%v!3fUb?Vw*CNS|-wSdi#~^ZI-LD#lq~x1)9>gco?bNS(cu?^VB(m*CVs>X^yAayOLkOaof9V z?)RsO$;eB4EhcuH4j+-0YMkghwdpuIAkKN1t6X85{Xr^W{q%1YW#!u#ILA*eL3+9x z+#8eA(wZ=+&#v)jYT=aGPARFtCy2I@_Jx%5mx$JxnEkX_X``Li@8D|m?)tN~eKjX| zUE2=^HZIDwabn`mEl+s(FbPhGm|9(ya3;#`!!fB|aO!^a_1%8a*xsHR7Z+FVS%E@n z6t8tKij$Q|U`*3}bYepBN1R&EfzxbW^Utv}R$Onvphu`a)P%`BeJHH( ze_>%^i6dn^9k2tLg0Q^X;rW|cm7Mh>=%tdg+Y-ZZSU9)V1Dt7SZC&3`_Ql5Z^5x5) zoP2zIjvhI(MykCRIIR8}cmN`@gSwvCIzWBoF~69}N1b<+(PuvroL=Z4CmqG2@+lN#!%eVGTr zTRxhdolRQc(17w2{eqc=MLhsyK_vt}3~==U&GYi`=l#T>3ii{{HOkC$&&ZipR~Hu$ zz=oGsY(U4J1Yv~9q@*OJfq?-KNm76db&X64Dv{ul|NMEj$E=IJy?s(@>ekHQDG|)m zIU&6AJu->7oSa<%TaF-=)iO5jPPjzq9Clqda8nxE+EVV_TSrKY$<;_k?0*lR!>8>< zUq3n38TAQ=L8;}kiL01>TZWg;m?FK)#5d1ZQ=lbU&+dq54rYiU9NAtNiB4NoHo z6%T=2sjbgtyXd#}v8v!9N{ybUXHimO;x-&v+Z~>_0SSJFDcmDS z3BUD7=U1jBVq(|$e!V#l_!@@3r;-v%TWHWfQfS3a6 z5zUT2v+F(@Or@R|yerRl)=%Pslha33Ecf7eWJqhRhI4`mGPC$y=?pe=8=uFhbkEg& z`eZ@8aM0{l0l3$UWI!5rISJ7*G1gEtCwUGprK~aZtBw%aleJJ7Q0CO1>MSJkFX{f4 zo2UNf`Vzwh;pePiH4JH5X|x`Rlz zWbF1}Bx(U@U_plWs~;iLvZ)+lq);*lg?n2yjOW3ys5!-Q^+0B`MLv{;*_dH1GDagr z2%6l(j0|;R)$Tjy?Y)Qyc&G`{(LBu-yRed8OXBlKaFM$F;QHWuaX*5Uu>Y)kZ zwSXiX!jG1aDPVq@R<1{pA!8!p#-~7_gmD%;+6(Bxf_!0>XUIy>H!#3!s;33|`6b51 z?cW#Zp_1*AeabbXDEMqBjbK^8dUMF!G2=_r%Z#JQq_%b&wLqkomn0 z_4PfNZY}X{3o)`{+QgSeW6JR{jI0JWg zch3HGm{#L4H))ccm33rln*JJS2IzpX?85SxH(vOnCErJS$>5#g;dDB0FW~E0NUwI} zEMuTsdi4Ozfo`r_w~myiOUg1LEOgwSBC|ntpCHc{i+Od2AkeH>yYDQPzX>sec)0;t z02v>ipD#mNq#z_mOUjEwZceQKx2>rsqPYD0{3WeCdz{n&vfk#RWo2QOZZGmSf9Gh> z$f%MsGBT;-WLj2X;c1AqYa!%93t|1Gc?v~8nXJlFzA*HH5ymJQ7s*9MXHKV0_zke} z?tO}iPh{oNBpOXS#&a$Yb`+by)>irGxSK2N-FHn_*XMg@M>R>5L}>(W_v~?R0PhA4 z&BmD3{vHUzPD#m?NodfCqE^9L*>In<>jlUzUi}rj2(x-%Qm&HQ+lth!zPULGtWi-} zSv{1Lnn=~K;5YRjWeB_Fcu7CN|!k|ow7h}2-7C0WO|Kb$??@{gl d$BTUSRM{qXy@YYwYw{hG4yhhYJ#hBQ{{ai)KRf^c literal 0 HcmV?d00001 diff --git a/Vehicle Live Risk Prediction/Images/violinplot_Weather.png b/Vehicle Live Risk Prediction/Images/violinplot_Weather.png new file mode 100644 index 0000000000000000000000000000000000000000..ded711f686678fcfb63a61f87bb216caebe2f56d GIT binary patch literal 37507 zcmeFZXIRwP);(B=p^ca@AYcL!L=coD5)7yX3P=#iDgpu$Bxf*UK+qB>14#kN(BvEx z0R@Q?L_k0#N0lJ?zfRfr-gjo+cV@oKJo90E`d+)C>K9Jfd#$zCK6jNBPpn+Vwv0ld ztfZbirb3}G_fRMc&i%C*Kl#D=fg68G*vg%=Rkbv-b+}+{NI8AM*6NC-?G=-Y+w2Xk zZA>gJ_6vv$2=i~dY-?*}b5Kyw{NEoCu(UQ7+%`S;78hA+byCxYLSeZ;{>Kz06KO)B zJQ|@MJFMmyIMC|gxW0a_^hebtu{<8xBilx+BX%y}+by?7IZ0>z@^mwezx7A?eybi< zUQ=uxAA0d{;)9oWc7*E5^48|uRNTEi{9&+Efy|M!0czXc58a;VcN%|R`Qd5Pu#xI` zO81A&<(mu^;t42}ma@{;MT~!=EI7#coAa9ID)KL$OSXkFlYePv`U~%mKaT(Yi0A+R zk^k?Ei|58o!k6wWU}m=a{_c@VvyMZn-OsVH`nlO@5xYJ$&47r(=8TY0g9n@U9}h6h zitBI9$#9++a;q)ntGK>s`6bPOUq&fS>({Ldi%rbe+9G2kdgKB2Xe98b559VCp>p!%$q1QOJiU0D@+w_fSx>DD zi+JM@x3gJUSpw!tW5$UN!(U9B)6FC5ri)l)qCDp3?%lutxS*im>({S!IS!Um^E1Ev ztz9Xe-P=Q%JvU~KHE8<>1;r~#Plmr8jE;_;n(9v!xm>-i`0d-v?StmOD^X9@Jn@R~< z_^&D%{WWXWkWZ0iBK70#I`yAVBF%=s=fBi+3Dl^3UTR9T2u&Lu-b-hKP3 z&3(6S+SD`i^zkx}3^Kzk(!XUB^QU4KELgxrotv8z7>sGoy!y>{ZnAsh@^4}-RyWvJ zok(k-J$)J-8X9Wqc8VgdT61F+MX%5(#pL%$hgQC8RzsYo>Xm6fURAXW3*D8Q_Q}%Z zIlj)#O%KPqO^+}8>n~+BH9tK6SK;v713as)3bM^jf4whg`t|Ky)0WJnBS((Z<+(WQ z)lB~G7h-&7+vg;M6Hf=-rw7HxdOx0c@#4j@Wy@52Ii(J`j9=*x)ecP}@Yi zfBOJkOeZV%n-3Q9Sbrm(OKSX+0hap%HW9ut$BjBx*TUcE{n)X5qkvzlMI#n1KXq!X zQ9r2po^##(@yFp<2~@YK(KF}HJ-L4UdR>aKQpIzzs?MwF7OgSQE%P<8BFMe-oW~A0 zj-025_%B+%AVffkP6Hcd)l<(*10(6xTgy=>{yGp??=oX$PlJHLO=OnqNbQJ+#J z9UHJ$yR5BEAFHwfn=|gl5|->#v%089i&wIRW7Oq2B<hIdx z+I!|(4%$Xtym--%PUoRcO?HRWV~5F|II(BnKIN5c2de!w^rAm}_^{SjcSBBV!YYn~ zyT!yBJJ-`_w==gMa#YS}bIbH`gzkaEbL9_mTl0(Wl^+?rH zin27and4n;i!8YS!`|76HV4fD_gUxJAEjH_q+K(wh-ybq`)(0a%=qFQ`#IGlj0{d< z?$3K?6ZPVUT64_G1NKI$ee6#xNZ9HzbLR1`)3v2rJ>tSn`1a8h1kRY6_VIF9_BX`S z)QpDb-`rYm*KunjpNNP$_HwZF?5OIk+qX?e+Fw7DcFX26LGWRdw2w7g8@`x^xt8udMN`-EJ^`nb1l-AaEk@Tj?eZR z`{;Sh+BFT@+x0i#Tjn$_yS_TA>Z?qB6sCnhGQTec-2-j!8V zDGe9Q=XZU08b+@B`t|GL%AJW(Z{Hr1J9f-ZvhVxtEf&>cZLVRF!OrqF-IetSbFuku z(|i&VS#@rD?vsYP7)-kvMulM^rjg={Yj;qACWfgFqmbVR9|#2 zqU`o!qBuU#%X5CJm1g?1rA4PZ8zJ)DN#W;Wmi7tHg$?gLy0muPx(7lf;o;#=3JYaz z-gDD4*)6*(gG$=k+E#24{g7ob+Edf@)`JC$Tp0he7U0>ni;db9mr^M_IXPK5<}vfb z>(M1FypO^mr8ASi9&qhE;&r^3Zq!xG(r z27PtW1_eyGZ=~wYa{Y_M(xtU4B2J7U~y)nJFHtI!HUzN1& zIsZ(|a!5zIKQ84%!Q7ajfwz#a^i))DZNz;W?QbOyDw>Q#%)N!WdTPRU@$r?d;5_uH z({a(FMXwN?EA6@8S5=82#qZj_{q>=dLgvab1-iiA@mYRh*WXq<-@9Th3-k+SeP8?W zrQGuFpUA$ZTu<=^wGp~CNo|hbR(5A&4%nVo7>SyHRx^z+?XQb|+>5|ao-OvpvFN0* zSwox<9=~mVuJNQW;6_}vkZ&WV>Eo-@TgZrDsei!Y`Jk#KWytlEWLg1pg{h|HOP2~E z9>!H0tY5$WiOXZoxyt&qG+H`qpwAVn-Wl)6PHm~nK zS$tAh>Clg3(WRgNzHsBwrJ?+33;I~W{9MkXOPn4vSLsvSPn~{sWug+nv>cBJ0&O|9@q_^)tOZ6{~dIcWU`1R|Ti23IOK@MM>H!>)3It`1UD{y25MBy3T{mX=XgpGu!**Zm;6t)7RI>SohBSs?s=o z_}Uyc`9WWsmn3jaw0ShDYv^_gf6J^e`nXc8CA2liLDI!r>9{(F1|NGuzSA$G!PXp& z_wV0p<=Dsnvb}~y+l!s6W@;K^KhzS94cR?1E_Z)J??^`xiK19EL1JD-FYXKGpChle zYHwv#RpX~5gZgYcGc3&a7JznDO4{jHqN{mV$N^EdzrLZ{fb3M+ITk2l7O-Q-4o0TS zK4{w$3UEPR!z4E?X89%eh_A=53Nf>qmvRDa{k*ELNEWPoT7$*6O-4qh70G(4{RT@a zCS{q73>CN{$kolQ6W}b{uD@@7Zg~EHY2EJDtEC*BLoVY@#%5UO&iFg+()+dD52x1| z8XNZ`pEQz~o@LYBm))Nr8O_EWjp@cF_1_?%6NQDRg#}w*8=*iDT8zuYP+4VV0GHeR z>;x^`Whg7M&VcnnyZDcZ`GJ(Gv$1F6@6FDgIDWkE&2m9oO);|u{xtLEvm6I)t(;l~ zvwL=E2B;6%EujRmk-YRMHX&QSqobqpMOmBMM9}zf+i)Oz!U4IXRtg6rMFa#AK5Wl6 zyzAp*uQ@(3K@Y!J6sWM@ea3OGZnoNYlH|!^10X$k}m7SRZqDcQ5V( zu;&xinYxs~Wz}le_#VN^>C42_SU>r0tLv|dN>QYodZ5wpgLZvA!7f8*um|f?O;q!K zmhEA6_I`ExxhbN?)Hh$5QAC?43^yA#iS+b9iuFVgQs-@!tqBOU8d#?qfOHnQKaO*A zb7!SWTD5z+|L#~~H~d9c%6T+uKu{zafLI$_Tkp;1vOecSKR;uc* z;ykqbc|}*?&A+*Lrl<8)a*#dE#`@}u^?p@XD{nTqmp4T5R4w8kqO{8q9yOTO*oW;` zgE%pYgtq6vfjWupS|<0dkK!ly%$su@5>4x4)Vaq3A_40Autsh*WA4jJOC$d?5qyC` zUw~OL7e6N^G$Iv)0`o>MT)03m4`CZcUM%Gn8InaVHQ!DLAIhq0dTVg;A{T3LtoyeI zVh5{o1g(*HkN^W!S|g&>V*_4>g^3tf2CmK6SaDMSZF1bQt&+mRDs)}@r_wVcN2M@m z&yY(1t8MZ0*{PDlxxZ|`ICTR>%L2@N1cDaOZ4bPyb);g1(>`HEX@YenUMK)ncI)z zjm6Tx#aWTK*+fkJUMYnnV2jK11tz}0&8bvsg!?AznPHC_E-yLxsae5Zkyu+GH^Wc&_7on`4z17St=OKS?jukW-d(@7X6V-SYB^H7NC|HN{;EFq7d1}Xw-6RZGKsVdZ5s~+?+NP*`!IqDjQj9m|1kb$pvD*DU z^zaS8z`!^_&$VWzH7|>Kw`%jTcjbf9x*>=^6E%MZwxQDJwLDFvJ0viRQt&U_r zRzHySh0t)PpWl}aH-;W&Zbf1N#?Zg(+g#w`F$?@U1()Q<`6Ynz1#?phH8nNd`9p@f6%>l{)lo2DI?2Ew zdt^zz-=sP;Vo$wy=T7xwCFy9yIUQuju!OvEEp8s3egO2dpaI8yIdxb1Yxn>{N9z~3 zXSZKpP9Qaj*_OFKZZ{<8#$xx@HBD>SR{m_ZEQrTuS+sCr6h2>kyEA0qs!}moI~(;J z4?|e^a7Tc3@hDy2U9)5p-Nyguks}A3eqLI+Rays8rU98Jf`kEN01{%cBYRdD-dMbn zhz#|~h6-3Qisf{{#^r*!%5fQ~h{VfQtf(Ua8l;z(i|g3ct5+-k)>zZ1WAi|I?l*%4 zu?bzgSt&hzWpZlD6tMT1j7L5Jsw+1OfA=fUAP5<7#tu`ohnM%gp<@o$Y`4sO4Kf;` z*)fN2EJj4PAMYCd3IszG%16MxnOS{sf0(PjC zZ5vIX>Yjwmmv6t}gIRz>!2638&rl@F-nkvwCU8K@hLQfF})$Q%m-REZ= z@>pA4$(@z`~t(S`5 z0P$_{icO)wq5bc9LevQPb8Nq6-M?AFIy`^or$Ug&+@y2+wIy{4x{?y?s|H)LR0&i* z$|4mG=C9t9#Y8DfxalTxPRpzlKbK|q5Bcv`_|oUjEAoBY8hZsDxmiJ6KrBs{=-J-Xx$ z?0#`tKqs?$1-p3lF*&)-fHA6xdQ$tX+GXj(y7Kb(vY=C(4mxOeN?G}##6*it1)-M% zcKcshZ5RjZWy2TfjiwL?@GzO5zR^d2Jp|a(bNwOrG2hK)-Rjln!TV1k5>{|Hv|LEP z()9I8BQ_LnP`Jz^v61h>=oH|+fY3|vtYcB0(X z8|(WS5YESFRURm2ua~*8d~xpIYg5ds@dT0fNoeRcGWv)mrsO&)W{m>$bUaEI!hyg zIy1|m^E4WbZ#0)eF--C9c;nBIax=Gd|4ZBzNARVDJ`-nOCBg0^-27=USBlwlKdThc zeCxjlXj|~w@BOjPlH$34BjY=2kI5peesR<=oi|%ilG6U+sO%DQ(L&~ZZ*eL7VJYP2 zGTsDanCCLVci?~;qC*Zl`Gv(r?=#NM*--Gle>>V1&$BHwI+q`TIoEtVAXFNe+ zbRy@?bt}ooC?k}Gwv2x{L}B{pp=AH{n5(PFt^VKsNV^@$Gf+yjn=>pO9C#@dH8zHX zM-kVAV5)*ej!+i?mf70ciJ;Ega~Q*_SKMK>o10sXhLE^ROoN#s+X=aoLP=CvU&&39 zd&wrTv;X;Nvd6r8_bjq##H&}?No*7f9}9VXNBh2_h@xK@%e8A) zHvj&|l9bR_46Q#=rOv=&;)lQ5p}(0a?eTv;w0_agsWW@I2uq2QVEo98XnVZ8RGOMh zauyc=ZD`k@uP51bD{eOUZporHSnbGA3jG5Dy1L3J6md5)9ql6a!(aANm#w@*ORP}3 zmcLz~pNTSJ^ygPT>=HYuKU0?Q6>QU(8{bAB!(;C!HHi^6L}6NZ-ih?SSk}aMRbthK zQWVM;Z&HKEExCKRrA=>BbuR|1ZsDIRc?p{AxgoH#kBnGwEvwIgUS<+vtAXpCw6#GMyLg6wYi9*IbcW$a* z(1C7U^1iIhS~Gp}xBoxyk+|!GFQ@wS_~6)Qvqb+)w>LMJJ`=zClCV`m9+Hxhh{8b_ zzxi<=_Gl7Ai3&o*Ps9$uki*D5Q3;Vul!v2GY0Sn4nuv6jqag8(UCO!6uxUtD+{NYi z@!OJROq5WSt8dPVY~FX?6PZc*tEhoD!Hhh?jz=_fuHNG6y}=@_eCm|9^yK$-go??Z zK3xy^6A7{4B%r=OL&gFlCUT)|joe1{W*a8Y{jFb%?{iZ@8L!%K8wZDnbJ06x3szHa zg<&m^*pG&~c!Gw41w^ABP-%y$fDTXJuvd$VN|a%cd!5g3i;JTXGAl*7L1oWqX+0}P zNU($knTWuZ6Zb2Pwem|PuRg`|nWyIv(>-Tq=$<+arElMgXW+unCzPPwN2K$44)D$Q$d2+E|QBCjp znXu!$NO4Y*KOU^4w13}Z@MOB^w2G>#LaTjyA=74q7{=Dz%GApIwxmR!&t0z-h$Jwt z4--^YQK1fI6>TmL!j<^<-}~s##rBufXSrV z4{8}d-~Sr2{U}ISAF`Pp;!>sZ2_N>Wnq4Yp^^v)E+Yz6&89_tjNpaq@OIRjA4wapl zhIpMUl{06~m{x~gBdaONpp_QO!I$(jLLCa8(3;^>%ZkvDdh)C=zU_?!ii<8=Rh zA;_*lvr@CQY9W^UkN{KR<~YPMsIW2R*#u$$K+sU?c^-4nCQ$s|z%k5Zz1mW2=o_AT zr;+bpEf>fv%$k7+AWtJSk;wElC$_4eJsUt2n27N3C{TlEk`4(+jvft~&c*giZXTQ} zm6>}1y^;w1s*#GQPQ{LQGgFM8jgHz9d2)1 zr4&rG__7nUZ=cd%(4^_9D4-Bz3=9~#coqA*C6Vgkxi<6V%SRAq4pt(Tg|5f**S~wT z6NFZ&7pQp|-L~^;a}l@h9$v*;k-~W>4`t7eH>X*5$~*XJfAbe}k$ybEM9JkKi92u` z56=n9g4uKe4FLz6xa|T)bHW9E%rp)Jo7@cFOLGrMH7wuI>M=jt*H%z)+EGe#tY)z^R<}I0LXm!VH@ zc*x&V>o6?PbMB4ciyQy2cFmeIUE@(vQGL7%DV}^s5SiP>QImYgH5O2pd;Rsyu^-6? z+CR-g&sLY$eMne%m%ULwTv^V-Eipbq zJRWR+Q9>_~WGKI8%a&LmP_uUrw>v{yO@ofLwmE_tqZ;W$_H3|}OIfm_xwS-KHXx`2 z9jL&>;12HIi8vP&3{s(z;V}4FeXHxpwMwZ8oi|y}p^Ikaz&xP11*y(+*>1Dz$xF7n zKHT155fBh?)_tei(%YHLe^83mGgsH&4t*Bby+Z;W-o;UCC{c%U!+^c?hM^&npUJTt zq^NN+66-R&DmyVU z@1854{(kXcFjgZm;g!7Ap?}|+lBj%^CHt7H!^VGKNBlIZqC)~NN)(io8c7_yl7ejr z&}$m=7sa#e1STtVL0PtUBcaTA5Dk4H<51xCfUMTiWQ6mymesyxrK=tA4rFM{KrkYE zKSuVyUb2-xts+4;$F@H{gXl(QjEsy#&N_7MwsdqkrW~{^jhRyTcn#iU_cfv8GV?Pj z7MUH3^N_>AKLygv4OkaXlB8I4d*w&K!*cEdK24`a36{~7(aMr)(*Jq>*I=qdj5Pi5 zMCda#s3Tlsd%|WrX$k)8Bi?xa22$uHDl)YGn6Q@pN1R?aw{f0(VULg^%vjHpD87tV zdCaLoBY%__zMNZXTW_53coJ7yK*TiHO2747yh1`}2=mNGWQh@+TJiANGp#QB0t2R5 zM521-l|CWfzMQuI41kY>_4hl_TIZAy!%cS~tSrCuUMYe8h~ONe#k{_;q&%5FVym_# zJ;LS^es9mWLTDY2;-v*y@~hd|2a;XCnmv4~`kU|O&6}BFx%(@BY<;rNM*5%iP}YXuaTb5bZ?^Dm zc7Y_0nBz$Nzufiog178p@_cp+V6jk$6j)In_6Zl{GK~HHBIjcyV+K6|b19uChu>N`hhBl=e%XT6M9KgCSxc znV*{|Aju*g`nMicqde;MQmJ07uG$Yz_Zw;kcnd9)vS?=7?6#e^_tQ_vtBHt~Y9IGU zWkK*{41?8y?mJx3fDQHfEt`9O+ssM~Zv}QIv7Egdf>$HF88P6G9FInW!_|34!#AG3 zXZQ8{Igj@}ds%P)8X2)dbXC;Qb27B^)BQ%o6qH^oJ8611N*-+4|2FR#7Y~o*aAbJ6 zmF8he6c<^)iq+}n+NYli%aOu0J1w8)r&B3?!f-S?T!)IlS%>;MO4L<+iDRcOWHi?! z!wNSCB4O35twjCzd# z>NZ+)V#Q?q0%++#I*HqS9ad2{ z!b>^_*6mct^KA_|Xct4cHBwoUeE*@33l}c*%Z^9AIysIec;Bnc;iB&(!eI+wMjbzS z9-ph?>{Fv3mFzyA7Bhj6oUD+2u6A{_-=3E_eLEF2*>*Tb`K+r zgs1dsO}&ni73sqvIf^MSFZHS_j+KYfLoPYcl9lo)8}pL+0x#?27zu+GLkDbgpN{9J z(&e+ylzRPoyl#hrMtSW%R`<2}sCDes%gy|GPflosWui3qtsmfkF^~^d)+05M1SzWm zBp?3f#Xu4*PIX0hY3$zj!#BS%f3X085GW4_N3qh#dWokzA}TN>}HTpDr8Z?+>z_3 zo9*-pZ{t4gH=5^NyJu5f%B2JP$JcT1eds3`4YBIkA*W=Z#+Vq}P^}>Gw^Hvi_Jz`I zEe--e@1sIKC`FjK3?YgrWnbK<&CNgkefU1tUVq#4a2Kvg`rrBw!}TwX#)c0V^y4F; z%@#SQQ7rvBbGdF4ic!T0PMiZ~^knO$$Q?@=izO5{okBbeYx9`bB^eH)SL8fZi?>&p z8t)@1U^NTxM=d|gx$(}w=->`MgF0<^5-=J zDkZwvNx_{I_P1E(zQDNmt)m*hk4ji}baEMW6&0JH0kJp%IeqPiGX|`u7jC>XQB&jU z#l<^vPS%(v{?EnAa53l6o)-|Od+_-NXoCqNv9(+1U*l#l|A zefGaWsOF~5r5AK>9v|b)-Tk7dL)qFo8N{eXjf3JSL(&J&3%CRNK1TZHlv7%ENJ;6^ zzPsqiX7DTIO9xnU9N)Z|Y+~`1Wam)SPGV(oy?1|eXHAZ;uQkV_N(xKh(z9{rULX)q zX^^>M;6G}sV12QRp&W!BL7|$Py2>E1Kl$hKz($dG$cz^RL%W)Col*#0=8NIh6?qx{|3a#Sz70|m0QC-<3*ZxV?LwRlyG0>ByT>ebt* zZ2OJ8&nD>fe)-xyMy8(SHTcM1wTo;EWxGXvy?I>TMiL&`;@8V&=B8dPG_*6cKtNBti^ z4(qCTzK4%b-pR>{pg=$>r|vuJ+AmqH!kAL{xVX5&KMdjefxGenrK`c;#Q&ZrbjE@>Yrh(4n%Q9lP&G>kj@i8aXULZP2e1` z7H97qGVnfg@#0HiVc|qspdQIaX z^#}ehcKwm{=ue*X46Utn)M4f@z79xEXmf;x2aJNOtgPw}SYN#Q^SKPLHwU^^$)5fh z+t6LS{npo^h18#0YPy4grJX%y$LKii_{YwBUj8n9K3!`!BZ-tPInZY}Bpm zGAh0)N+TNDpExnH44{n`e!jq}JNx|nzD1K>^0egSfMs0oORe3e zRZ?|QF}Id-jN5Dn^dIptw9&NW(6+Z&LMc@E^YHshPSWDmHE8o(!Oyh+{A>i3aV`n= z1gXwNyV?v1U%JP*_VtjEknjR#r$^TfuH{|+&(Duwnz?w}Iu35uIU^eh&AWXNLJ60Q zj6MNx^n#5(V1NWjf5x z7Kb}J8&O(_$=ik9ypE~$2Gn`I`N=AeQAltm!1QF->p6BTLY23v$>@Jn3K;95M zkUHYr?NqwJ=~3Mox765OX`p&dYRM8vf2q=v4Y|J1~A zqG5Rem2W^Q1g6Yj$FECuuNJeyKO0XhVunUWePA_LZHS5$|B~}(u4|*GBFjO~zK6lV z32=t!vm6?cjW*|W84x1t*zmSvC@>I<^-xx~>6cum&j`a@CLr5WNJF+TD4nFivqUVR zfN_!&KTzOK)XPh~T(cviZUsfw4&H?TF2ha^yM+BEyZ49{VSdzJ!ACiuYPu7qwgZN{v5(YDVgVO;dmz`p4SZm?&q64`;7jiR0qkKQTOSC^4yN{bT`& zii$x8hxk^?uC)37ZVen$N>ixtr(rjBPqnw7CnO?HQV(b~73E!s=%$c2h>QexqaAQ; zEM&*xFQv>pJ3?I^g8Z4mJUI3Ju~Hq}MMMrGmP#F+KuA(USBy0S%H4?~c+VTy9F$dLuMvLt<^*MkP!xlTI;vqN5HToOK{C>!MYlZ6z(oc> zr?GC_82RqqNf=k?Y}Gq=>>$q9h=>T2s$i+l1s(;!nGt~IC!jne9CR3p14|+npl-_z z@^6)HEpht(=)`EE$E*UWo^tiVH&zRfdBCDY93oUplg&d+B%Ct`C*Z7*jSeY+p;aD6 z-B25ey?akXqE-LRj{w02*9XxJh+Rd89vs9^jnPO9&M8~a-svqwJfk9pW$WqGFHqdn z@pzb=ca4n`;Xa$;Vn&eXM!Z89`J7=H0;&HcR;x)akNqKe5(f_o<*{6_A;qEw8UsP?)~;Z7kW(0?V#wsdNL&Vq`26`$o9Q2= z0xvBVWmasMfV)*@(b+lW>HIXV=|d+o0h!*i=bH!W>`*jLdMDU;TOv1?OWb z9V5@+Z#0FUocuTq(rT;i$J59FwSQkIYSBT(LR}D^H^a%3U9V9&kd-4=H)0P4KLiVm z#SM*gQFH zS%gt*mzwqJ7~;U$h|(2L)Eakbzb?^6XweY2N`iKBGuK!Yl~F`Nz#>CDHP+I z>s-q2FE|LMsVIlU8~#Q@0FUEZI}Nng+H}K0GXPGJver_glxX+aDGXN)mQJ7uWi3-{ z*iG16Ys0CqfvZHD!`=nA|8(ufLczRWReC4MX|)LQ8$w4&}pXiDn>@H0tEFFAb1=9 zmL^6cRCjf6r+9gJ!I$#)r<+xB-a?fu6c~~L$Ky!-l@#LTTbCH`a%TfP(=e$GzgsTc z9l|WGiw1{u5|B~hR8r~4>V<9vq&{b|wHc0RKp=#Z$MD-`+YiRD$jm6i!yq$g5Z3i4 z=VK)urFR~Gz?K!cnj#{9`EpdS>rbi_O4q~z4ZKbOc3@zjs4ZB?QWO7TZ(AIq_%>v#0&Kw|hWqRWE+%q0tf;C%N=$lxGPpeUBcO}b;yY+-AXkG{7yAd-*#w^u zU{%yINol%-e>4Na-@I=}B4U^(1O=6#?=bir>Oq;mq6_ac)Wb$TXVn!H_3ixprw9v0 zpUOe%E&4@msKr2T_tPrM%Rk1b#|F}sx1f|o{L%p4XU!@`EErgyvilYkSeOQ0EM2#2 zH!jlK+e?-jqlgAvlX|5|m_yq293l~MKVfz{t$9U5cl=pasG5dm2ZB#HLsqMg)7%e~ z%J5WTQ4z3D+#cANLPA1}2WMhloSCEJ$V)IBGPNx77nv1efdNoa2;i?ld5mhKY z-f9}R!X@uBU>1;&*E!H{vHjE8#S=})14v9xx$Md!Xr7ezG;bjkYABxajB>x;eW0x< z>Yul~3N91+2f*TkjCQd?Ga;A(lpp_@f{T!p|92n2v;0r}WQoOa;(0#1N$}kNp%1Mv z7Q#&?5ujrhGN34Hd9r*i3&k^IC!;P-kYpW0;KFzRA1(fSHVT(89)xe@pW&yl{KFFr z4lq*!Ne2Q{Hf`vT1c)aReHrSyf}*0m!%~m~1_u>4hdJuM{pCvG(L zy}O&9m6uClq3qtml*e8rJstN-F(?N6^IcU{Rn{EAH|P=Q$7^Agzz2Q!X*0*F6C&yh zC?f0dg{|(tUl0LF7nC16q;d?2`)^nRF6xlI8K~MU|b|#A9&QQ7m5{oJFQ_|Qf zucM&w7Eym;5~aL_BGa(CMHe_rknRx}q0&B0k)|%pm+etG+;-@KW`l|O5{h31M*dJM zltH_qm1381Ij~$}StNcAx8EIJQ0oJ7$}xaZqL||-tx??cpVpE5=^;t10n+w>5?D2~ z(fUMv83#Jnk+Qi@h;O%AIy0s0IE(XU#Q!lEeS6{7sX;qRt1iaLQyX0<^0bQ!W>aNi zM`)%}7sFD;d;j+40@e(mSRL#+EO-Nv4Tify?{GXZ4Mrz!s&wf}LzdKLwF4sTm}o^7 z3>T6}JsJgDbkYCn*$lItJdM4yqQQOU!ypi0z1}+PH`foEJ_ufy>!Qw(Vj#hwK-2U= zx}J0Nb3XERdU8xNzhk2%usD=W{_5$>>`%zyq5@>`r&lEN-!5Q=!RYuIij1_Mq|fqx zIjI3Sa*xUidSN|ayHF^cFM8NVuYX(MT;m3>m(kTFo*&;zFl3yEFFl8LU%2B^BZ}3! zGgPAxBOrq9BVyKY3K=0Amb)=nq_T4WVm(dO&$1juDlY6Lvx~{=YtBd{O-1l^_kVF2 zR!8!IP#K0c!nduR@Cm6sFL0^$m0U9WsS#!nF|~yhk>%Z?^lyZT++4bDw2+xayz#*% zp(6w@?you&cA@BYRuZw8Z0V~WUFtj4Gs`DHzF-J$!Dm&CB!Izl z;$lCp$zoiY6^e3VbdnnE4q*1)!;pJ zsKqIE;8zzDrSNGHY~<&ZoUYv=4_|B|1OCq%ceI-5@`e)?l>muWPgU&avfdA2^izm`s~Y-!GVag>s9U6El5{~cozRSM2fhztECyqh538&5o=^x1@T|plcDem}0tNf%770PW|Z3gE11HvDiq6 zP@pl1rkYQ<5*Tg~1P|Q?w3I55iXJgWW1t&O`y+^DR^4UF`-=qhtxS3AeGmP-LmX(` z)*yU~SvdL8Q$ukYmY`Co28#y`kdNnd&%v$3?RY(HXm73}atL((S zIfpwnf~0JtLIMsVFcthaJNgKTd>f%Czp$ftK0d+X%nJc4oY?Z|-DrD&J}gOxz8p`y zSTBU}DigfC-iLO5BsZ#GmCU2lYYg__66PJAX%~41VejPBPgsy&u7xF>dl~%{x@u@ z6@Fk>5!bsZ+GC+=k0K@W!N;66i}|btH0~)`hJkC@dGMeX>viK`wvb}W;hZfkB!DSXdBwC&-6o8Il*xwG}(g-J@F z9}2$Rv&csF(Q<8uTM&#>lGTlW&UJ|(>xM~1`*j`>>zW4M&qkrGMWc1;ubPip@cwo&&#!mmUHkW zleQ@vfe<+0Pdy|!?k^Z!2tzRC!tN&>mBeO+SGGxb4lqi(cVOVIce_Q_<6U1C%k4~| zeEW7qvnxrB`JwPqk3k{^9MZK)x>8BqmuQ8px)>+yqubk%+9All++vY=m{ezAP7H&p zrbc>Ta?0@p6iVH;g`;cXjtKjdjqXn!bYj;LwXi%n&>WqfwS59C`zFR)LQJDDAERw=F%EZCT7wyo0&y; z!UUm6YMhnGh|r({ncM(68Fn=YtYi`6=mKb308)6#^}vWb(fkA2M&qh@y8i^jPPy6O z$!j3^z#o5jn&}GX>T*cH8kax)eF1%hq@D+#<~AzH=m4EvUFZeCACX0XcxbRpMi>o8 zJCF$!YRvj0HSy6|1V(!sJMt;dXV*RTRsncP&5RTkH~6wkBv0MPL<&3!{V?mel0uw1 z3j2_)NxuWiKWG^`{?uF$V{RI=j9fq&1{lVeqZfmUCgd6{AU#vb^5iGGv1I~lo^Y)q zUgf-ntGvSAPV;<5hrS(xJf%H}h(G>b<#9pRk(f!I#>-d{`!t@44Nr9snrjc1qUt{~ zDX@Y%z&cq~hz2jwJlT&)c5rx#FIW^a>^s<&#n2NI(7q{$J}lC(OmN)g%0LNNavGqA z6F`xbbBx?Xb|q%8c%UhT$eUw>%^E~S!vMa5UPN-qkO0GRuFNd-Hg7#5n>y-G+*Cjz zqL`3{ET%z-Hzg_>k;6)y9cOdc2{d03CD}5GY%;8olGPI`n+%{AilL28p9W4Aj|Q%k zb0_Dqs9MgDKyl(c%EE9SjjF7GW@|W!o#LQMws-LT{!oVBihi-okC$vfir7%hh5&&uH(BZcSE(pO%HU3VXZTCAIB&#g3{kbGQ zOI*^v{CF_utC*pJPYQ?dwc`W;dTn*@>4N{7V#SB_-~J+hs&5Z!Bk$gB=1mVQ$)|-G zbSO^{Yd3hcy8bpYe!NGct zJgL_u&v|52yn7dQk4C2C7UMogj`~InepohiUQPUJVEDs_4`X%{Vy1ovBh49uGBu6M zOk+`^P~Z;DrvX5J_3#z*#gPeP*zh^~Uf#z?G$r|?7ue)$K3{%g1~r33obnOFPj-+x zk)AkX;K{%Sf9P-d{#jp~)!!6&?jGMh|Vwh`U5lOZ+hf zVUh!aH?aYzJ6QGUUGmG`Thl{Ft+HK?ImVGpc$Jyq2uI? ziFHbcUZAh+2v$HnVNa-p5cXsdw@FrAxa2a-|D9qh_-AN-erjopmeh!sqUqUFCF#-wA0YHP==FW zrh;qwUDSYB;jWif(*SI-Vf;7*$`MsB5sx`na#Trc1j9SV@)MOh6KpLM3UrdpAaoTO4o6yaNnc_7U` zJCA!;V}Gw-y;>Rhz&hwXVMVP!Af!gr)v0xx1J(JT-R~KL%J^=o@CA>FP!`TZ=OBE3 zL^Wx-$9xLcIt!i8*gl2RtE;8n0tA!#huu(%rhSes{vjX$v4}6Hb!b3BCMjbE&a7hR zdS5~tiM<{#-*G5$B-80DDGQP2)}HDYx4PYp`IrJte6|jDe=BOHIvBi^4(*C6Omk7@fPjnbqfNI1OoMCQK4B~R{7QT{VsU;C z3Tc;7X8KoY>5Q%7E5qi44oD|LkY#G>`O;6sVw@Ni%N3Z}v$ z99`0C-)wG}zFFMre3BCs9OK2i?lPOMg1G8<4GhXZdoMI^6oF2NpbZL!1rlxr#V);D zjo#_Z91?v3caaZgp?byeEmPDMF#a3pnfRR{Xfsq>tRLq8KCe0MEl*}3KL6VYE94vh zw@*fE_rnX2yZmEe;W38;WogB+E*Na_(A9(`gRGzQ8pm{ z9zBcBGJm9XEBFzJ6A(4*)s;-4G!h5PE1n1y0pwet34w^rgkv%lF834hb^~$N%5%2+ zucPw!rS~-945jCy@z3}WN@dj{?Rsu}BI#i9w3(%g61gq z*{hbn+Y}b!F_*;_3*;*cWfZ@jhJ~xV#iH*CF*s8^jTt{gZ@lHx=F?ALT@Ky#6|ToW zIzFes{{1Nfi}P>k`yf({6;n8Gm&buBtR+*Ci5!r;THl??}m1n^gS zRMc)NE!zBhPtQa1gwr&&>VnXb#NQon?9rlQ5d&TaFaV}CVuj9`TMo#pZB$Mj#}whc zjj%maM&u!>j#yO&{|HoJW7pQN`$*<*n0QrKx(_XpD)3u8$&*SRUIQAor&oDJ#okJlgg!} zXgfumy6xZnncU_J<2C})()lBmYp9~p=TBZ+c6+_JOJ%&@oAxj0C(o!`l34_@x|^E) z_1>Nq9pq#GQijxTXa?&CctQACM4 zKsw01mgDp(DAe54hV*r}vm)1zhoZEHBEOzR)G8}q%!RIflVRXzCQ8&9f(RCoZfh#d z|1wp=BQZmib@4b*Gf^8?63rnrnXwja(LDeaHhCGprnc|cOXHK$Im_q0S#Ye)14cd< zW_$|eSLneBBXegJ%II+w0hdVEGN}+-B#=q|gXX@%(x3sAD^5qD!RO6$E?t`nk^hPa z-vDajc&0~OlW`-D{4IF}1mN|sv$ioL1H6I^@D8Gklv@J<8fu>9jmJ~ApC)f2N9yf3 zHL2SgrIXfk1dhPV1DJ}gu6w?|4g&inK+gX(bO?TfP?KAgR)uf>i9tC#deHGzviExZh%wI;Y(Y(`4*0i zvMVnDOczF%m6tzmt@PaodT#?4w;2p6q?j1gk3+n8Uj#vz` zZF^tBdM0+3rTx;H>JD|%te;x|iz$?gEYi8=S!U=>YyiXxI13O*C?(3@@>g;s40A*y zuQ&)yPk!>pkqN{o0h*2?3p#cDi3o}rARf%DHa0Un9FRG`PHL#GBTg+|B2&|Bl|{qrxb;Lg zMn_EjiLGv2psGaDB8|1^X|g-SP2s_2N=%0BWbH6^ykiQC<9+Caf5g?a_xakFY%xx1 zJJY;P<8EKLnmqZ5i|UoEA}@8jwe(d(+OrtD_*ZP7O+8l`MqK{bG5FapFzU3|Iy){N z-GZ5)_t&mnd%*Sgh^dnvMRC>slZ9qDLFh8@No6N$<^Q}-3Y4>Mx15RutNGRS%e>W2 zDW~oa42e5AzpsAjJ(WwcPmZ|GOK)_0Pvef%6@=@KH-m2Lx zsXq&kb5xXDTcq$SfQY=BU>`Y;rFUy)#uciJI?YeJ;C@`7?IdSQIL_N4=X(t8MF?s? zAb0$@DNNTmrK=GVSeoOHi#R#&*xkE#KRafQjK9C#WV)dyw9a5A*(__rkXFpV410Gr zU=_;8jI%I+6ysqlHFXrFD1wFPT_A3s|ZLjq7= z+f&JrWjI8Ultf5@0B*(0(441mHUl|{BmRVaK=yF5n^|DTOmew^D)w_dy8N34b32#h zF6s^~+T#lGh!&okJ;?Pu#M>k4r&)$o6VSJ^Dr$#jXx(}y<&xf28PtEMLh!BF-*s+U z$HlIG(Fc^tpPzFf_99gI)%65D%U+k7j5rcMEKCT7{0dHXS`v-j#p#cRuRYL8`l{@o`AH%C6 z0<;Aqj)t_fv}sdv1lf0hmQfJjArizVL@sXU!v6RHTgP^)^}@zS1MZb$yS5!!)wZp( z)6f*;qYqsHIr0k;8n`hdX zyprwZf)m%~4knj7NsYRlU@?JKu2tZkN6wKUoCgey4NeG{W-3=Z7Ty?X{>xWmef9D; z-*nKj$A01JPwJN#);(tlSn||B#g&M_p*Wi`Q%AJHXfn#=7<1Y^iPS@=_q$u6+ zKID<cf&tDH7Njb%)AVz!gXp_c6#lR@6XnC3||JJnFRvoE6 zJLU4IT|Z?kQqLRSUFNM^<;+o^qIW{V`>0FpM8B__S=yyxd2pQ`oR~-&u419isiS3i zkyM}OmLJVaeBm6@C7r-LZXwHd^yOShi5Rv?N3G*K-cZpr{(P;f zLq8}ju_=$CfDo)A1!X=Zv*??yQ>QFo{opHK1&9 zIKf8y^5q_CBRc8;DSaDJB&?6u)_^$sc(!^&XX*ON?-p$ZdI8=fM1x|8X#hzmr^83n zLj+PZLZ{;N#Jyi~RPImA<>lF*|DN<^@SMns`>I8MXD|D)Twu%*FYYiNsvQu~Q#f+b z{3rY5=g0Z_k{`!Sj6X{c$}80dkIt6ae9uW;zI0X1?9QP^oK~o2QnitY+(qBu?j&#S zjH8RbKTkb7X{ROcbNvmc9hG=npYOo}k9vY*-}=ayp>*;B{M{61(SA-gypQA*bwiW) z;1mCstkaE>%_kP!jJzJvBvt>dQ}B zEi`b>pw5>fcATt5>S72Yq&e68b1Id1{yPTLI4TwELzXNvcFDLD?KZgKV9t=Hv$0*r zSoQE_kF+`Yrii5l1&O1%Va1$+hYsl=-D_ZU{2x9H#atq=DoINR4lZ+K16|WZJ2D(W zoOXa^Xkc;vdY7jTM-j#A7vSKPp*>Z)_dD;7iT%?Bt37#RlwU45F5d|p-XJXyA(M1H@A7_czfGALh-m28T_FeG@ zGv7B2wW{m$wXHu%BZslVCrEn6$W!CY6to*auaB9PU=nu<5Q4$xFTVlcY~m9o=dzJw zYfCo4-AKe6=YgbBE-G3;aHLKRCd96k!@=)=RrlTDT=(I>UzO@n(x6DFjEqu9MnsgI ztjKIwWy{FOs-!|PGb3pzBa)ejLfIoDS;>mXmU&+9p5O2Ko!_~xb6w~BcaE#)>3Vv; z@)_^<{l4$}HE#DRv^0PP^1+W2aLAb@dfqd@xdwxF~Cme0n`(JRhO>%~~u+6u##0HLkcBs+M4o7MYH@LlZe9;wpP$4LI5vpyPLYv`fQ6LwgNWm6cy6 z-hC;Lz88^z4|pIP3cUxvFUzh+h8$oJF!E+Ekq}41Ghs>s)gf)NxCf4_yCvsRr`5oy zNhgMMU#lTTDtiQkMQqy6-O)L$B4vQlT`CD~fXULPu zpH~|W7CcZ6u{k=d-D0e-ghP)i6gp%#*+n{n_iqN zdI!z@bIY{6Tc4b$=*a#qV}ugJ<1cad{QFgSWv!;}*z*h!Pb1vai@iN6BBDbYNmyjc z5>Mewfd1yow=+LA4#yO7fWJ|Yv6ZC7I%;YO$Ue2uc@0T=x@G()Ys>Mti+Vh*2P@k6 z_er&wO2q`7O0^W$9M-FLw0^0aC1&d9*;Sxa8Pa?i4pu}Qq6Oz$JehR8cslRUQVx68 zAMlu}M}uq%zE9jR(}AHH$nP3(I)HTV7r>7uI4(|uNNkCOAb;p-4ARdeLPE)#|7pMY zJ0*JRJ*jXx5MzP6e9AL8%B_TKAagxIak6 z6JRPRg+TW9E7KF$0{P216p7g%wwMxK6pZw{(DXA^Hj7oG@xE zQBCS)UJZ{JG2}eQR`9jS;wkI2_;c&jHGkT!OV6y5#{TmQLX!cN5*%?OJ`Bnrc%RKV}k;HV6t zxq@tPfn>a?60g)Rc<%YBo_=Fq_~)bZUD8V#wt?G6=4IROjX1NCs86mRT%MQkScwmg z6C)LRsb#pZJF0STk=O0Nh+iMErz9O!!W<#HNz9>t5L}h$(770Gwr@#tJ=0m2YL#G8 zvcVl{J@B9gVd~ZIC|$e(<CEvRDA>3XZJs=A5PlCkO#vk_-zBKshQZX844_k59B`Ey!C zXKjMup~~%Vm7uMe^sFD5!A~=fMi*6Vth}r&KYcSL9Q4}sE3j)HSi(ljB`cOv3z9v0 zTi!}C(tbL+$bTo734crnoo;Wx=M~}J6qj|l068;op!e&3H+Tq-H2@^ce0cI$@3PW< zEpw2BgaMxSJ9j%ED4meI!A<{5w!&tG5X!|D%X#>3rPbG>s^+Q1uGoOE^b$FJ?!Or6 z^IiDVTXY+TAf?xW;{=V&Pws;=`};m#4QAi1f(1_uak7ld(Iq2@1LYZHL_zTI5|o^% zVEtOzjR+6r=i6r}Nd4JDOq%+5y*TvkaK<3nMt*@6`N5)`&R2I(!hQh8 ztt(ntvL%(aRLaAV%kC!UmP|98qgZb77JT8PX`Q;!&`39k+i4<*HOZ*7kg%#Px&<02y@%F2etSW=4o#Cbp=J4`bH_&?~8+aT?gMT0tB5oongM)IDq8FoG@!D z009ETok#0fSWQ8wo^L5yegZv2pZsAp)z=$L`b;B=9#@}kJHW49Ts9US;j9K(PXgCz z&ohu$JfBajrQpc_s}~vTOvNI;gklVW_&VYh4xE`!T>NVX=PLB*zwdG+o=&C4i-;?3 zsHHa4iqWN~$KE^^5|sLV-Kzzjg1(P5t-s@NLJ?cZLb$WNAYPIThN~Hk!=RajqYBhB zywHz;;7Zsvgav|ScL^uZM>$RtD5UXIn+Uxd`}QT8v(RUxfk~2zMg+;* zgC=N`B9e^Hd}zw0_OuLzkg%C6X)pVe`$ zq@vNA&LbBP&ZmR$@A+kJ{|gXJ)v&4w5;HZZK5zj2$qx%BD4i!wSi!VS+4 zNk^RW%e)pAVmYL6FR0;)N7zGi9`@RXdI@E@2;vT7uI|AyfZLn_bU=7h53G2OYN@@PQyKZsgrBpQO(P{xGS80N z`2ifunV59@oOHrbjS#zj=tYu$A3N^sm$-Tt&9pGhD<BWep)b+?0WOBJI2_#T%O>Y9#lT1-u_Gn~oj zW6z5SdF`QfewiQKrE~Bi!;|6}&!{;%CINb!1H-~Ca_OvKkOy7RjUaqZ*cW`B?cUCC zLWD1Z5e31SRtFnh!Lo`u>O9sDq9#&VXF_1t82^*EP-$*q0h~I$uPBmyXFpZVs+-*k zy514lD$xxy^c~VD%V3=+*Msm=+D zG9Mbupp0%DqW1EeC`sTq?b|VvAD@z&o7>2TX5zt8u|d*M^phV#eobm`9_#dLvx~`Z z=i>~rcPy>u9cK#`m}sAQc`Z|u0Yp%waOvVoX@Xd9pkM`&aEOMzJju&INin#UyCY8C z$kEdki2(;s?FI7dz*rM&d&@JsNcWrZ>RR5i@83OH>Fu&>eJVBK@kXlgschRZrB4}Q z(VC)fm$X*R+<`;*&uI9auNPc9w`+g#iN~dl36ozJ^j91MM;akb2ZX zJ0;tnpr4-Z+7)wapYPuLPG(_#bYAwIUv>o+Hd(X^3gbOvon??=!PXO}-(}ygJLu^} z_xT>RPt5Jz7g||SVaLD2cL~`Zi5W<>TsJ9yYCFPduI%+Bd@0h_mV05rfIi7z#>qAG z149S&Hw;_1?)CEW>U2R+UF%lo6AcTBAO}!-NJ>Kd?N??_e!kpV_|4Nd zGTwu@1^*P345>DAP<`n90(&8Dz-5P_nKg_di4IWNiVZ0rUOo@>)_@d9)iEh(iDWjj z{f`iA_Rf62VU^I|9VaBwa7v^j30-~<7*$WSXCzf+XP373T!#`^$$A#wKM0Du2HG|xLB*!zL$Ew{>`Cn+0SyvFSBXnRVDJho zhdMjw}p@!v5Q1qP;5vs28*Ve^M>?U$}#k#j{5>L^nG9F`YniMaem49aOA<^ z3T>r(L7Pne460=ZX*hU*u9|>v9EMNOv#DHAiV%^ntex#$eN8==4&yIyNr+w0gCzr( zfIEpi1USzo!^pnRLCAWHr2IigF{7@lFO?)p`JKEkj)8cU+zEKC@z}j5+tPe&LMJ`% zrDb~OExo6!_Kbq#Pev0x+UHAV`FOw>em+!>3v)(=G&qv6>I1s#h(7%mlf(Iy!IFMNHM*8$KN0L zySFo7$|_$CyJWeD{oxZq<(Xma&;3?qFD8-Fi^%KHJbIZ^$2&oE2c*nI0zpnG^0IO2 zBhlc@7Rd~YHRcg}_WeS0S2=e@&Z~8j6)lf87pOl!cj2Jh%_7+?o|{h2F+UktDy#*- z9w#{%VamgI?rXFKY?$-u2Ijbh%jJ{vA{r)X+;Q!?@NurXrcC{GqUO;iSSJ1(o?z~f zfK^6pt&_8QQR+~>kn}JMcts&>-_QkaJu;!Jr*F}I{khy{Gzj0V6B#D#eHh$8uxDWS zL^}$0JcFPYUDee&Jg#5=!3J3X|F)uVN7niAVgGk#rlyJ^S9V2Qxw8Ms4~39a87H)g zl*u`6iX&ujDR9rTsYPII23)s}jt}42R?gzJ$*ul`1H#6{^npL$=Ar|LH)MJ5%BsJQ zHrNO=D@fa(dXG~WTjPr=Z+^u*+S=d)*75K%m_pWSfr#)$>+*Ew{z@hz@G4aQh~k0P zoIgiD(+Km%0T0jtPLRY3v50FvFy4GjG5Mxnl{&VP+P^Nzp<>`GegYQ4$i{(2^90qI^yfLvt*5_-=w_E>gSN-3v`S(vJK^700CAVlP?v5|T(iX? zCDq{^`KI4{H`@Ej^U}0wA5YtLT>bONAuZktox13QoQhHAhCFQ}f}UQd*P1i@P|`?# z9gFwabfW6is-|6238n0iVJe0EDC#rkk&-Wy(&9QKBVVwwrJldkbQQbFqHNs2Gksn8 zAMtZiiW-DxrY!=n&Z)O)-`^yboseS?%qKo6Y8ID?X?WT|QW9g^^DEcu1fnCgRV+K7 zls;+7pr-545mlod<8j^$^(+-a~ z@cR)qNuL!fGSpOeLNe=QHhV#A`^bVwMMU;#P-=;N65{-DnG(MHMGJ;4JSS3bG#H6l zBWN@%tm$ak=c9;3HGQW@@lRgnm4?0?%VZ9s09FIB=$r0dJdij30RdXr=n(RFE1f{S zmkWP8EfCWG{9q05s^OeaUOW}Sei~hb#`}9@zx_+QjXi?$PX?zLAbUd^Q>k zPBZ!MKXbp03B#gzA=s*0nDmZgZ1NQW&69C7WYP*!-m4F&wT`A;g)T!)s11%;c7ir} zecL;(R2~@RUu{Q(*_VNO)wBT}$0rCFT#1n(XG6%877-nsEZ(09UVjkw$j?wqHT*?2 z6GDjOkbJTJzch-j7|^>~VSqqL5>lDJ7f&gUyDNBHUCw)9OI__DfJz}r-~s=~|Js)H z>=_@FA04LBA*OS=KLWnni4yfW_9>)!S06Y4Q*EGUV@pS6#RCWAj=tDn7us(@EybYR z{?EU?T@pT2#tlmz^h+kjdq&JpOViCWl_C8iJ+`Y%&ko?b`Bv69bG%(UT5j3x`QLx* zT-;gbFseHji9S2N{#7yl%ZKSXgGLu|^&&*`f-s@&={^hNJ9F9om*1#(nL|I|1p)}8 z`fFSKzhl#|e#+cWGA6uxiW)U00P$C55+Q|R!@r~GAm8}joUck06u|%9cbK}QkR^ql zZC*j;Z;LO}p3lJQ+bMR%BwT8f)Hb5xDm{Rp=?LTXWSDmVSJr`J7DNpxWa>&m)=px? zMdU|hE#fBljvUe6VdxkPhwqWm28)|`w8S*;3``rKQ*VN}gJ`+_8W#S_at%5WYPz_%2MBNo$UgjFf^j zQP1gQ{`>JRkO0pKUv4;o7Sb!wVBGY|Q$N$WLk27i1|gJPUOX4w$rfo)dy=Uu)^&6+c2MxdbBt$)Z^^U6f&oT9S zOX9jq+CM~?h$>}@Odhzj5;s+E`wAU6zPnV`?$l_etDRB+$d*tH_^LIDq;LyOjK*J`cT$h#x)cA^3T0xq_r z9~~f2rXWc4nGQ?n@KsAKkJD}2vgJZzVq(>k2SyeUkH@vIKmgVV^}#k47HgbyRbVvO zLh(O(#Y(XsO^U-r#E8jkf}oUZosp0X3JVFj$PtC%Y+<>Q0s{34g0RUn&+x!h58D6% zGBQanOo{Rhq|j8 zm2>a6F+3GPG@gX97N4Rk(+|D8AmUaHiWgfE3~UfYNx;R;U6BRxS=B?y_CGG=UBFh1 zbi1-GG&^gH1bn^NNauqTV=>4x8dG$ICXwRiXOZ^e5CmD1?u)I)K~ZntO5moE@g72- z=P7*Y7>%nyF}utWh0bql-U`0QCM~ajXJ~Nn1!Vfwuqf!cvWTphnB@S_uXA^o*G&O^Xsvz75gHkJ>8VPT#`kPId}d?Sv6c70H&nn2 zQc+O2orn2kRmMS*W<;Um+r=}>GbBvx15Y7u5-5uVIl=*>&?3=AjRIY;5j#W(W)6Zu z^%yASfRGb~P4eM{oLn??jswFN0|dy>4p0>nDh1H>RRL<_3iOY6`cK@8kaq`jI-Fzf z1O^IYJQci(qrfPLxqpB2wr$&t$zYDxNLbC=6XW~Pn2W^!V@9-?L`}M5!8Hz(T?ERe zmufI>qkAH!ozWNxuLm8; zfUArA#UASipKBwmmSyf20+J=z&ay%`3<5eAJW;+O88AaT(+o@83~H69=z$C(2|-Ke9(lY~*xsf%N{mcv8ykQ0^+n;K3SIe8adCw^ zP%O{86K*H3f$F@r=@2KLUr~s>qO(jG6o^DjfLN7-W)_ImdXC(XD@IXZ7MqEgSu`@{ zNrZx?>nKefg_y^)SpdU43tlJT5LA+on z^uvF+#tTmmJ?ocw5F1TO>`#cQB`q4Dvy#P8WW5T}w5 zJiL>yk6rx2J2uc2SyDuYC@d0xZQ>5BJ^b?!08U}~E2^pBSQ4Gj&+P4nZTCoUUtEX-LePr9kiQs5v?gRz1eEr0XLO>+8ih*v!NObBjrYmH z0#~hYviPb%Ca(r6Yy$p)8FGR^0fr5OFgX%IbnFM#kUn|!0OnBrS(^N@^5+Tl)WmW# zv*w)7De!!&QIeZLFJ??emLOCbzAM5RAq>>{5G+FkFjhwd*sq|Ek5A1?b?5H_%Iuzm z$9hYMEjXwkF#2qDbx|q>XmBkYyh{4wH6eBWXXD1h7&|L_X93Vv4BFmgl|3*foF}#34(de<5eMnQ?3f4+b0MPD9r$(xIPe3?4mLJhGDG0OQoL(F zQzL|7##LSEjduzOI@o__-^1s2)r6WnS^ZSNw{Xt5EPyBD*PZvD^uwnoZB=@@{D>n@ zO&@w)AW8qhO=EkLaW5a2HxUnJE)I?lZI+#w%Q6Xe*-qntJTwiekw%##zN+ZyMYo|d z7i!+i-X80Rq0ZdLAAgl_Pz#TxfZS9EquhKsN@a2kf8Vuhh~OYG@=a z)d?xkDNLA}yphsNfT$Dl@-eWf2-8zOxx(g%fiB!AZbsQO>Y7??Z~S7MN!CU1SH-X}UPM&2qH zaGb?nwiWJ-C7{>t+2hCg$HwT)YJ+GKPN;8R z^fcSmHu>7Hp6!C4+ zg-~Yyo|(C&k$h7l`Gm2taZZ=`+BIvYx?-42U|P?qrK8geglIi2t*`2{8%0GcwW`07 zBXA7a?%1(|61UJ*+}OB{#<%3s!?ZqZL=sc&rhlHHNP`;_mSW2N)2#|dQta>mie5$( zW0#QFMX_6&cjBp!?Gb%Y*$3XAk(*monphX<`nK9yzos*NV%p++n zE&89s!%vdr(Yh{y#9aV;750)-(G`}5hAYRrrdzXLzrG>!=>ENqkdUn;xDJZOi8*lX zWM;PS`^-Rz(+zPFXSun#Zg{%R;*AUZL4V^EU_W}48F8xwoChijR!5|${a(y(p{2CG zHm8Hs<3@LPw_hP2D^sA{jgk@>w1@VJi0lCIs1zee$1(nR%9RB?4^Dst<4A`~+S}Wo zkKpQDV02afEIR0_Ugd%3vecu$`?by8ZI0t}Wa z&){BGRu-$nddDx*607oOsSu+Z#yrVG@mijYKbvi(EA{T>x~njZuIRgRR$t#33Gez% zo63+(u7`qu{&1Gw0SO5SyywkZx2~crT`9a^YU+y$3Pt#83UEgI{wk*Zh(;}@H#bWa ztnBCE@yW{*gO54aDF;W#n?XTzpk2&o-2;~?;px+|!Ce9(B4ab}PUY2(eU-zc?!BCx zeGjcYOielU^!2weGIEFWg)2b>rH~F|x$`zQn}Anbj#hedy|A#ber8>1p7iP)RN|5v z;F;V|;Tm=Tw}pj;B@!ALb#}e8XKznTT-mRewO-o%NDcB(CVI=Htigc=g6v z{6~)#czQ_P2z>KK7+h9=Fj#irBWE*B{z0SpyjgP_J>zvnN}-wOuV{r&bv{mxj#FoC zFyi|UI-kG6@G-{8#m&tvt*%~gc<`7?9Ij1;OBPWzs1LBftDGFa(9mt@P2I$$fK-B+ z66+ouJXZ!W6;1cb>;>%ddV9~&Z(`RLe&xswkGSn>Z*Bed#uLZJYK%hn#>q^BfG+Rp zc?=mJRriWiFR)!LZSB2+f?I(%u3x|YKEIq_NasDT8wD%{l7?$mrZ$u#c^jN|gCch= zT=XLkU0Bs*A$*TbYEzu*x;J{(S=UJU zI;EhjJlr?|j+hH(EC+{$-9)m&6#gbBrxz@Q_Ym3DTYHSq&DZ>9f=c%vpof<(Uw)6I zmO{ZW944eyfuQjApc#m#{Q-WA1;5JU^L5xZGcfpm{;UK5L8PLp>gKa&`^>7NzpU7f zQZcT|$;=cyEF#j2?7A4=Sl`q{e&})j2kb&Z+aSynwdc1E)6&re84b+N%q;7+XnEV8TWK7+bp(HZO8d3h&@G)|3yW#iVR$qC{*{vL^PM(_ zojP=`wig-F-g59+yLPpsThgvwyEgCKc^3vAQ=%q{r)9;^=D=W!RiFkPwoo|38yj_c0H!aHhuXbIg%qZi2eZ;9+^gSLv-}ci9 zThLR^Bf~{_Ithb~oZf5Ds}8H->>8&c3t(K8c+gR>(ZlL^1FCqtG5A&=lP)fEl4JXi zsp2pi2Loy^);|38Po6o$fUbuha&Xy~UrNf#)}ptdprj;YZ!e%4E9wIZ_QInt`*8B% z9h}tD`+DCcmJqsRl$AFio3;P`;U9x{*O*A7=}Gx#RDVxgOG`_~L5DjJc`L*PhxBSu z4`o0jZq@aU1)LmkcV*<{)pFBwo6fx;&w~>+2B}>avoDH|J zqsbj$#F$)V`Nxkvz#E^xcp-EAI28mgT!u-mE-unsp*;LVRJeBCy2l9#6kJ)u;nnW$ z?qty+&5abXWyR*1pR}gSjfmLZ)ZCnyoxL5;^7frO$Bm8Iu|9p>`I)zGU(3wQoC1cf zp1ig7fv@fD=&<|Xb?p@vWpJOfC@Ltd z$F9E(TLU)Ua2mkEB~aC<8yVe0d9@C~X(=-ffqC(lt(UB#;-`f9i)6satE{ZBuZ^II zd=K(kG>(s$o|-y=7m0&XT}Q_cqh5>#0`J|E)6m$83mUIHw>*(H9O&;~3YRhg_Zcf} z_|+I!dmP6h2KoxA#2l&SwmZxyVzUdY2+g&75UB4YA2@Mhje()zlOqBg9BVKcwH&Sr zXl^zZ?)+9c2I;I*O6LS)6Xz(d_C_T|={rZw&QU2`ERI`1|{x1a;_D zM#dI+Uv5X8J|v)M(88g5>rv81+0JRsYS5UJK|Chu z5nh1#;d8RGH^@)U&d!!Jv#9?3c`Nzb@LozfJB^4xwIYMNQolJSxbOm+#ESE^v$x*@ zp|(aFy1Tx(3UUP?lUzg=AQ#_f>$RZY)7QtDl9B@Ok^KZ@>FR}DXc6{|jO;fNY)jZ> zmU^(<>-4W18p&a|WVU|qlpR~Y=L4$MH57X!0hhnRv)}+ywR&TXBw};5%3D36_YrwN za<2lRlKk!Gn?GHeb zc8J4X(lnz6_lEn@hK-Uz!rr_BYrFE5fKr8l-`Ok(se zT>Iglwfg${C(%N30jK^0xlTla%ZIDxmO|^hh4Hd#QfRAQ&V#rc35z1Y{0pd z`4-6<2c-O1Nxk?+IYmQPeznt8>+)Bfm~#1pqTU}_LpKP;bD$Wl%@;qh`a4z&0%8dg z;omV`i?`m3Np2Sx7gy8Q_eVbmhtGb4T)TvqCK||k)ipJ50Nz?dO-*~J`x^JmA26!q zE??$BZU&Px+P7#iP|i<{gUyO*Y+{KG~F=A#MXbr8S({0u}C?+o;%-A_Nl%gkf-lnFqE=~2J z#6N*@t8Hy6()jU4H@?CO)RJR`;l$fi!{D6K1h5n>mj`F-@pG5>(@f)F53+^AGn;a z`m7Z1vFFz>$<1d9ZBtWIR~u5}aze|7^yc0Cl|Y! z5nVFPZ|>tkPoKMYX(-YT4nly~?t*aGgWW>nJ^E6?F)VxbRKdD73WCWs4Kk2KgtBI*u@(A`TUR^QZH#Gx;fTG2|gV^^w01pLrLKL(L z7Y~Zan7Q2M*A}!nq9HzT3!*OW(hzA~_810??D)#1F+-QTtUE zZ+7nBHz)?|V27O-05XDJIqI9ujEv++E-JT{0A=y_^z=vQekhKfJcp1spxiqZU2f;M zjF%fJ>3)RLjlH`AN&vBM?>v~1ppw#-l-bw~ij}bUzX%>XlIXQ{uInWE`8NSeI_@X1qc{tx=^;g4zbAib zQ{j^*)JXd&-ZL}K9Gsjz2<{)DB&u&{xQ%Vj$G7#Y&I>}+pOMKLIFrbXlJI7&UN z%z)9zoSdA;d3j8TPuEjZ4^VdR-remp^ADDE?@es*Ex~uxlC`jLW$~nT?%av@O+~>O z$9U9vKX&jPECmS&j}Xs`VV-_JK0XL~2BuVb{s*fmpu3ENSA8Ds-rtjxH&FkA9qy88OcUbEAc6uhyEe|MAyo&|0gKl+vPFTKn8 zdZ}ediN*mrUBndiNI_E?BsKO((QHazF`*p2^hOU)kTSUO1xC4a4-fNI8(+SBXJ%$5 z-taWadJvwEKhankF-1&xZvHnksN9x&{2s%9d=O=ZHi_3UB>?IizGP!_OYX4`>Ks_4 zY(YJV5ULU-NbTh0BqhcAQjJ%RCg7zp_WGtUXC5AuCH%NpWyE1Mj9;GcsC9B z{chZljsN)vT%qs4DEvs}1gs@8Dyj$BEb`xr+0Jf`;Z(R3wE29Gi2Mxw-jUfRJ+S z3ms#ges~)fU=zkDaB&Uvs!h+_Zr!@|9U1Z*n#sR$%0 sm3&1}I* Date: Tue, 16 Jan 2024 21:41:16 +0530 Subject: [PATCH 6/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 29 ++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index d8144daf6..5a3d74e34 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -15,12 +15,41 @@ To analyze various factors that could possibly lead to an accident and then trai **Visualization and EDA of different attributes:** + ![Alt Text](./Images/1.png) ![Alt Text](./Images/2.png) ![Alt Text](./Images/3.png) +![Alt Text](./Images/boxplot_Fatigue_Level.png) + +![Alt Text](./Images/boxplot_Landscape.png) + +![Alt Text](./Images/boxplot_Light_Conditions.png) + + +![Alt Text](./Images/boxplot_Medical_Condition.png) + +![Alt Text](./Images/boxplot_Road_Hazards.png) + +![Alt Text](./Images/boxplot_Road_Surface_Condition.png) + +![Alt Text](./Images/boxplot_Road_Type.png) + +![Alt Text](./Images/boxplot_Time_of_Day.png) + +![Alt Text](./Images/boxplot_Traffic_Density.png) + +![Alt Text](./Images/boxplot_Visibility.png) + +![Alt Text](./Images/boxplot_Weather.png) + + + + + + These sample images show relationship of columns with each other(more detail in notebook 1 with EDA) From b0e26832b5a6e03a0a4e517c9514ed00f5a6bdcc Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 21:45:38 +0530 Subject: [PATCH 7/9] Add files via upload --- .../Model/Extra_Models.ipynb | 285 ++++++++++++++++++ .../Model/Xgboost.ipynb | 166 ++++++++++ 2 files changed, 451 insertions(+) create mode 100644 Vehicle Live Risk Prediction/Model/Extra_Models.ipynb create mode 100644 Vehicle Live Risk Prediction/Model/Xgboost.ipynb diff --git a/Vehicle Live Risk Prediction/Model/Extra_Models.ipynb b/Vehicle Live Risk Prediction/Model/Extra_Models.ipynb new file mode 100644 index 000000000..8beea1c1e --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/Extra_Models.ipynb @@ -0,0 +1,285 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 20, + "id": "2bc812ed-e9f4-4794-82b3-eabb0ff7571f", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "df = pd.read_csv(\"/home/keshav/Downloads/Vehicle Risk Prediction Dataset.csv\")\n", + "\n", + "\n", + "\n", + "# Encode categorical features using LabelEncoder\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "#le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "le_light= LabelEncoder()\n", + "#le_road_type=LabelEncoder()\n", + "#le_landscape=LabelEncoder()\n", + "\n", + "df['visibility_n'] = le_visibility.fit_transform(df['Visibility'])\n", + "df['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(df['Road_Surface_Conditions'])\n", + "df['weather_n'] = le_weather.fit_transform(df['Weather'])\n", + "df['traffic_density_n'] = le_traffic_density.fit_transform(df['Traffic_Density'])\n", + "df['road_hazards_n'] = le_road_hazards.fit_transform(df['Road_Hazards'])\n", + "#df['time_of_day_n'] = le_time_of_day.fit_transform(df['Time_of_Day'])\n", + "df['fatigue_level_n'] = le_fatigue_level.fit_transform(df['Fatigue_Level'])\n", + "df['medical_condition_n'] = le_medical_condition.fit_transform(df['Medical_Condition'])\n", + "df['speeding_n'] = le_speeding.fit_transform(df['Speeding'])\n", + "df['light_condition']=le_light.fit_transform(df['Light_Conditions'])\n", + "#df['roadtype'] = le_road_type.fit_transform(df['Road_Type'])\n", + "#df['landscape_n']=le_landscape.fit_transform(df['Landscape'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a4e4860f-2fd9-491c-90d3-037101f30bfd", + "metadata": {}, + "outputs": [], + "source": [ + "df = df.drop(['Light_Conditions', 'Road_Type', 'Landscape', 'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding','Driver_Age','Last_Service_Months_Ago'], axis='columns')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "24d380cf-882d-455c-9ea6-7e05b3c4d2d1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Squared Error: 0.03247239784420999\n", + "R^2 Score: 0.8634195445701373\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import Lasso\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "\n", + "# Assuming 'df' is your DataFrame\n", + "\n", + "# Separate features (X) and target variable (y)\n", + "X = df.drop('Risk_Score', axis=1)\n", + "y = df['Risk_Score'].apply(lambda x: 1 if x > 50 else 0)\n", + "\n", + "# Split the data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Create and train the Lasso regression model\n", + "model = Lasso(alpha=0.1) # You can adjust the alpha (regularization strength) parameter\n", + "model.fit(X_train, y_train)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "mse = mean_squared_error(y_test, y_pred)\n", + "r2 = r2_score(y_test, y_pred)\n", + "\n", + "print(\"Mean Squared Error:\", mse)\n", + "print(\"R^2 Score:\", r2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "fd19bbbb-e785-43e6-bc11-16a3d0c7b216", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Squared Error: 0.007214250517408194\n", + "R^2 Score: 0.9696565179454888\n" + ] + } + ], + "source": [ + "\n", + "from sklearn.linear_model import Ridge\n", + "\n", + "model = Ridge(alpha=1.0) \n", + "model.fit(X_train, y_train)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "mse = mean_squared_error(y_test, y_pred)\n", + "r2 = r2_score(y_test, y_pred)\n", + "\n", + "print(\"Mean Squared Error:\", mse)\n", + "print(\"R^2 Score:\", r2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "ec2bb856-0509-4d36-b004-ac3f657127e5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 1.0\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import GradientBoostingClassifier\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "\n", + "\n", + "# Create and train the Gradient Boosting model\n", + "model = GradientBoostingClassifier(n_estimators=100, learning_rate=0.1, max_depth=3, random_state=42)\n", + "model.fit(X_train, y_train)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"\\nClassification Report:\\n\", class_report)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "cc0eb215-0d5e-4f39-9d34-6788e03c5338", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/3\n", + "600/600 [==============================] - 5s 6ms/step - loss: 0.0338 - accuracy: 0.9944 - val_loss: 0.0135 - val_accuracy: 0.9983\n", + "Epoch 2/3\n", + "600/600 [==============================] - 3s 5ms/step - loss: 0.0012 - accuracy: 0.9998 - val_loss: 0.0153 - val_accuracy: 0.9983\n", + "Epoch 3/3\n", + "600/600 [==============================] - 1s 2ms/step - loss: 4.2283e-04 - accuracy: 0.9998 - val_loss: 0.0171 - val_accuracy: 0.9983\n", + "94/94 [==============================] - 0s 2ms/step\n", + "Accuracy: 0.9996666666666667\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)\n", + "\n", + "# Create an Artificial Neural Network model\n", + "model = keras.Sequential([\n", + " layers.Dense(64, activation='relu', input_dim=X_train.shape[1]),\n", + " layers.Dropout(0.2),\n", + " layers.Dense(32, activation='relu'),\n", + " layers.Dropout(0.2),\n", + " layers.Dense(1, activation='sigmoid')\n", + "])\n", + "\n", + "# Compile the model\n", + "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n", + "\n", + "# Train the model\n", + "model.fit(X_train_scaled, y_train, epochs=3, batch_size=16, validation_split=0.2)#if i take more epoch it gonna give same output..tested with 10,20 epochs\n", + "\n", + "# Make predictions on the test set\n", + "y_pred_proba = model.predict(X_test_scaled)\n", + "y_pred = (y_pred_proba > 0.5).astype(int)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"\\nClassification Report:\\n\", class_report)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd3a7448-5b3c-411c-9baa-aba650f165f9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Vehicle Live Risk Prediction/Model/Xgboost.ipynb b/Vehicle Live Risk Prediction/Model/Xgboost.ipynb new file mode 100644 index 000000000..b9c13ae40 --- /dev/null +++ b/Vehicle Live Risk Prediction/Model/Xgboost.ipynb @@ -0,0 +1,166 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "Ugt2KcTj8GwI" + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "df = pd.read_csv(\"Vehicle Risk Prediction Dataset.csv\")\n", + "\n", + "##used in colab since there was issue in xgboost detection in garuda linux\n", + "\n", + "# Encode categorical features using LabelEncoder\n", + "le_visibility = LabelEncoder()\n", + "le_road_surface_conditions = LabelEncoder()\n", + "le_weather = LabelEncoder()\n", + "le_traffic_density = LabelEncoder()\n", + "le_road_hazards = LabelEncoder()\n", + "#le_time_of_day = LabelEncoder()\n", + "le_fatigue_level = LabelEncoder()\n", + "le_medical_condition = LabelEncoder()\n", + "le_speeding = LabelEncoder()\n", + "le_light= LabelEncoder()\n", + "#le_road_type=LabelEncoder()\n", + "#le_landscape=LabelEncoder()\n", + "\n", + "df['visibility_n'] = le_visibility.fit_transform(df['Visibility'])\n", + "df['road_surface_conditions_n'] = le_road_surface_conditions.fit_transform(df['Road_Surface_Conditions'])\n", + "df['weather_n'] = le_weather.fit_transform(df['Weather'])\n", + "df['traffic_density_n'] = le_traffic_density.fit_transform(df['Traffic_Density'])\n", + "df['road_hazards_n'] = le_road_hazards.fit_transform(df['Road_Hazards'])\n", + "#df['time_of_day_n'] = le_time_of_day.fit_transform(df['Time_of_Day'])\n", + "df['fatigue_level_n'] = le_fatigue_level.fit_transform(df['Fatigue_Level'])\n", + "df['medical_condition_n'] = le_medical_condition.fit_transform(df['Medical_Condition'])\n", + "df['speeding_n'] = le_speeding.fit_transform(df['Speeding'])\n", + "df['light_condition']=le_light.fit_transform(df['Light_Conditions'])\n", + "#df['roadtype'] = le_road_type.fit_transform(df['Road_Type'])\n", + "#df['landscape_n']=le_landscape.fit_transform(df['Landscape'])\n" + ] + }, + { + "cell_type": "code", + "source": [ + "df = df.drop(['Light_Conditions', 'Road_Type', 'Landscape', 'Visibility', 'Road_Surface_Conditions', 'Weather', 'Traffic_Density', 'Road_Hazards', 'Time_of_Day', 'Fatigue_Level', 'Medical_Condition', 'Speeding','Driver_Age','Last_Service_Months_Ago'], axis='columns')\n" + ], + "metadata": { + "id": "Ys9-LPOm9NlS" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import Lasso\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "\n", + "# Assuming 'df' is your DataFrame\n", + "\n", + "# Separate features (X) and target variable (y)\n", + "X = df.drop('Risk_Score', axis=1)\n", + "y = df['Risk_Score'].apply(lambda x: 1 if x > 50 else 0)\n", + "\n", + "# Split the data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ], + "metadata": { + "id": "s9KmOnV09RzW" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)" + ], + "metadata": { + "id": "W45AJMiT9pKs" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from xgboost import XGBClassifier\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "# Create an XGBoost classifier\n", + "model = XGBClassifier()\n", + "\n", + "# Train the model\n", + "model.fit(X_train_scaled, y_train)\n", + "\n", + "# Make predictions on the test set\n", + "y_pred = model.predict(X_test_scaled)\n", + "\n", + "# Evaluate the model\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "class_report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"\\nClassification Report:\\n\", class_report)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_KrfpFpB9WWw", + "outputId": "20bee29d-5ecc-487d-f6c7-883901a4ab4b" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy: 1.0\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 1168\n", + " 1 1.00 1.00 1.00 1832\n", + "\n", + " accuracy 1.00 3000\n", + " macro avg 1.00 1.00 1.00 3000\n", + "weighted avg 1.00 1.00 1.00 3000\n", + "\n" + ] + } + ] + } + ] +} \ No newline at end of file From cd60efda5d6ffcc0939f751dea7f5bfc8537d864 Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 22:23:15 +0530 Subject: [PATCH 8/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index 5a3d74e34..c41b3d060 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -58,6 +58,11 @@ These sample images show relationship of columns with each other(more detail in 2) Random Forest 3) ANN 4) Multivariate Logisitic Regression +5) Lasso +6) Gradient Boost +7) Ridge +8) MLP +9) XGBoost **LIBRARIES** 1) PANDAS @@ -65,6 +70,8 @@ These sample images show relationship of columns with each other(more detail in 3) TENSORFLOW 4) MATPLOTLIB 5) SEABORN +6) SCIKIT-LEARN +7) XGBOOST **IMPLEMENTATION** 1) Loaded the dataset with 20 columns having 15000 entries. @@ -81,5 +88,24 @@ These sample images show relationship of columns with each other(more detail in 4) Similar patterns can be observed with respect to other columns. 5) Various HyperParameters and column dropping was implemented to signify no overfitting for such a perfect database. + +... + +### Models and Accuracies + +| Model | Accuracy | MSE SCORE +| ----------------------------- | ---------- | +| Decision Tree | 0.9996 | +| Random Forest | 1.0 | +| ANN | 1.0 | +| Logistic Regression | 1.0 | +| Lasso | N.A | 0.03247239784420999 +| Gradient Boost | 1.0 | +| Ridge | N.A | 0.007214250517408194 +| MLP | 0.9997 | +| XGBoost | 1.0 | + +... + **NAME** Keshav Arora From a7101de711d0bb44a6db1fb15596160392a76129 Mon Sep 17 00:00:00 2001 From: Keshav Arora <119474193+CoderOMaster@users.noreply.github.com> Date: Tue, 16 Jan 2024 22:30:17 +0530 Subject: [PATCH 9/9] Update README.md --- Vehicle Live Risk Prediction/README.md | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/Vehicle Live Risk Prediction/README.md b/Vehicle Live Risk Prediction/README.md index c41b3d060..61717eaaa 100644 --- a/Vehicle Live Risk Prediction/README.md +++ b/Vehicle Live Risk Prediction/README.md @@ -93,17 +93,18 @@ These sample images show relationship of columns with each other(more detail in ### Models and Accuracies -| Model | Accuracy | MSE SCORE -| ----------------------------- | ---------- | -| Decision Tree | 0.9996 | -| Random Forest | 1.0 | -| ANN | 1.0 | -| Logistic Regression | 1.0 | -| Lasso | N.A | 0.03247239784420999 -| Gradient Boost | 1.0 | -| Ridge | N.A | 0.007214250517408194 -| MLP | 0.9997 | -| XGBoost | 1.0 | +| Model | Accuracy | MSE SCORE | +| ----------------------------- |:----------:| ------------------:| +| Decision Tree | 0.9996 | | +| Random Forest | 1.0 | | +| ANN | 1.0 | | +| Logistic Regression | 1.0 | | +| Lasso | N.A | 0.03247239784420999| +| Gradient Boost | 1.0 | | +| Ridge | N.A | 0.007214250517408194| +| MLP | 0.9997 | | +| XGBoost | 1.0 | | + ...