From 5b46b50d948d21450498fa2bc808ed3c26617b69 Mon Sep 17 00:00:00 2001 From: Tom Date: Thu, 12 Oct 2023 17:00:13 +0200 Subject: [PATCH] update running --- assets/blog/running/garmindb.log | 845 ++++++++++++++ assets/blog/running/running.ipynb | 734 ++++++------ assets/blog/running/runs.xlsx | Bin 0 -> 118915 bytes assets/blog/running/time_vs_distance.png | Bin 23068 -> 22962 bytes assets/blog/running/time_vs_distance.svg | 848 +++++++------- .../running/time_vs_distance_plus_hist.svg | 1014 +++++++++-------- 6 files changed, 2157 insertions(+), 1284 deletions(-) create mode 100644 assets/blog/running/garmindb.log create mode 100644 assets/blog/running/runs.xlsx diff --git a/assets/blog/running/garmindb.log b/assets/blog/running/garmindb.log new file mode 100644 index 0000000..d4a8b37 --- /dev/null +++ b/assets/blog/running/garmindb.log @@ -0,0 +1,845 @@ +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/plugin_manager.py:Loading GarminDb plugins from /Users/math/HealthData/Plugins +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/plugin.py:Loading plugins from /Users/math/HealthData/Plugins +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/version.py:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py has been tested on Python 1...0...8 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/version.py:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py 1...0...8 +INFO:root:Enabled statistics: [, , , , , , ] +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:___Downloading Latest Data___ +INFO:root:login: Tom (b9f7e56c-f47d-4bbc-a608-9ceb205d5cc6) +INFO:root:Fetching 25 activities to /Users/math/HealthData/FitFiles/Activities +INFO:root:get_activity_types: '/Users/math/HealthData/FitFiles/Activities' +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/FitFiles/Activities/activity_types.json (exists) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/download.py:Getting activities: '/Users/math/HealthData/FitFiles/Activities' (25) temp /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpeatj5nmp +INFO:root:get_activity_summaries +INFO:root:get_activities: (11766891006) +INFO:root:get_activities: /Users/math/HealthData/FitFiles/Activities/activity_11766891006.json <- {'activityId': 11766891006, 'activityName': 'Junas Running', 'description': None, 'startTimeLocal': '2023-08-11 20:19:00', 'startTimeGMT': '2023-08-11 18:19:00', 'activityType': {'typeId': 1, 'typeKey': 'running', 'parentTypeId': 17, 'isHidden': False, 'trimmable': True, 'restricted': False}, 'eventType': {'typeId': 9, 'typeKey': 'uncategorized', 'sortOrder': 10}, 'comments': None, 'parentId': None, 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None, 'endN2': None, 'startCns': None, 'endCns': None, 'summarizedDiveInfo': {'weight': None, 'weightUnit': None, 'visibility': None, 'visibilityUnit': None, 'surfaceCondition': None, 'current': None, 'waterType': None, 'waterDensity': None, 'summarizedDiveGases': [], 'totalSurfaceTime': None}, 'activityLikeAuthors': None, 'avgVerticalSpeed': None, 'maxVerticalSpeed': 0.40000152587890625, 'floorsClimbed': None, 'floorsDescended': None, 'manufacturer': 'GARMIN', 'diveNumber': None, 'locationName': 'Junas', 'bottomTime': None, 'lapCount': 9, 'endLatitude': 43.77597886137664, 'endLongitude': 4.128410769626498, 'minAirSpeed': None, 'maxAirSpeed': None, 'avgAirSpeed': None, 'avgWindYawAngle': None, 'minCda': None, 'maxCda': None, 'avgCda': None, 'avgWattsPerCda': None, 'flow': None, 'grit': None, 'jumpCount': None, 'caloriesEstimated': None, 'caloriesConsumed': None, 'waterEstimated': None, 'waterConsumed': None, 'maxAvgPower_1': None, 'maxAvgPower_2': None, 'maxAvgPower_5': None, 'maxAvgPower_10': None, 'maxAvgPower_20': None, 'maxAvgPower_30': None, 'maxAvgPower_60': None, 'maxAvgPower_120': None, 'maxAvgPower_300': None, 'maxAvgPower_600': None, 'maxAvgPower_1200': None, 'maxAvgPower_1800': None, 'maxAvgPower_3600': None, 'maxAvgPower_7200': None, 'maxAvgPower_18000': None, 'excludeFromPowerCurveReports': None, 'totalSets': None, 'activeSets': None, 'totalReps': None, 'minRespirationRate': None, 'maxRespirationRate': None, 'avgRespirationRate': None, 'trainingEffectLabel': None, 'activityTrainingLoad': None, 'avgFlow': None, 'avgGrit': None, 'minActivityLapDuration': 138.3699951171875, 'avgStress': None, 'startStress': None, 'endStress': None, 'differenceStress': None, 'maxStress': None, 'aerobicTrainingEffectMessage': 'HIGHLY_IMPROVING_LACTATE_THRESHOLD_13', 'anaerobicTrainingEffectMessage': 'IMPROVING_ANAEROBIC_BASE_2', 'splitSummaries': [], 'hasSplits': False, 'maxBottomTime': None, 'hasSeedFirstbeatProfile': None, 'calendarEventId': None, 'calendarEventUuid': None, 'avgGradeAdjustedSpeed': None, 'avgWheelchairCadence': None, 'maxWheelchairCadence': None, 'gameName': None, 'differenceBodyBattery': None, 'gameType': None, 'purposeful': False, 'pr': False, 'manualActivity': False, 'autoCalcCalories': False, 'elevationCorrected': False, 'atpActivity': False, 'favorite': False, 'decoDive': False, 'parent': False} +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/FitFiles/Activities/activity_details_11766891006.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/FitFiles/Activities/activity_details_11766891006.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpeatj5nmp/activity_11766891006.zip 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/var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp_2l4cus7/2023-08-09.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp_2l4cus7 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-10 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpdcg670tl +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpdcg670tl/2023-08-10.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpdcg670tl/2023-08-10.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpdcg670tl to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-11 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp0zgk_f8_ +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp0zgk_f8_/2023-08-11.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp0zgk_f8_/2023-08-11.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp0zgk_f8_ to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-12 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmphm0bpubf +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmphm0bpubf/2023-08-12.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmphm0bpubf/2023-08-12.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmphm0bpubf to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-13 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2pedqcb5 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2pedqcb5/2023-08-13.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2pedqcb5/2023-08-13.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2pedqcb5 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-14 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp8bi4spct +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp8bi4spct/2023-08-14.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp8bi4spct/2023-08-14.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp8bi4spct to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-15 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpcpmdfo01 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpcpmdfo01/2023-08-15.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpcpmdfo01/2023-08-15.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpcpmdfo01 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-16 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp4grt34w_ +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp4grt34w_/2023-08-16.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp4grt34w_/2023-08-16.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp4grt34w_ to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-17 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpfjh2d7rh +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpfjh2d7rh/2023-08-17.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpfjh2d7rh/2023-08-17.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpfjh2d7rh to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-18 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpffh0tjls +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpffh0tjls/2023-08-18.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpffh0tjls/2023-08-18.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpffh0tjls to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-19 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2l3ppou2 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2l3ppou2/2023-08-19.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2l3ppou2/2023-08-19.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmp2l3ppou2 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-20 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpjeny2lz8 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpjeny2lz8/2023-08-20.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpjeny2lz8/2023-08-20.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpjeny2lz8 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-21 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpgclerxby +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpgclerxby/2023-08-21.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpgclerxby/2023-08-21.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpgclerxby to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-22 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpy4vd04t1 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpy4vd04t1/2023-08-22.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpy4vd04t1/2023-08-22.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpy4vd04t1 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-23 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpj88xgm7l +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpj88xgm7l/2023-08-23.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpj88xgm7l/2023-08-23.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpj88xgm7l to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:get_monitoring_day: 2023-08-24 to /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpanqjjb14 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpanqjjb14/2023-08-24.zip +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpanqjjb14/2023-08-24.zip +INFO:root:unzip_files: from /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpanqjjb14 to /Users/math/HealthData/FitFiles/Monitoring/2023 +INFO:root:Saved monitoring files for 2023-08-09 (15) to /Users/math/HealthData/FitFiles/Monitoring for processing +INFO:idbutils.db_object:Found time_col_name timestamp for table Attributes +INFO:idbutils.db_object:Found time_col_name timestamp for table Device +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:Downloading latest sleep data from: 2023-08-10 +INFO:root:Date range to update: 2023-08-10 (14) to /Users/math/HealthData/Sleep +INFO:root:Getting sleep: 2023-08-10 (14) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Sleep/sleep_2023-08-10.json (exists) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-11.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-11.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-12.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-12.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-13.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-13.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-14.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-14.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-15.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-15.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-16.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-16.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-17.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-17.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-18.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-18.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-19.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-19.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-20.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-20.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-21.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-21.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-22.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-22.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Sleep/sleep_2023-08-23.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Sleep/sleep_2023-08-23.json +INFO:root:Saved sleep files for 2023-08-10 (14) to /Users/math/HealthData/Sleep for processing +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:Downloading latest weight data from: 2023-07-27 +INFO:root:Date range to update: 2023-07-27 (28) to /Users/math/HealthData/Weight +INFO:root:Getting weight: 2023-07-27 (28) +INFO:root:Checking weight: 2023-07-27 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-07-27.json (exists) +INFO:root:Checking weight: 2023-07-28 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-07-28.json (exists) +INFO:root:Checking weight: 2023-07-29 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-07-29.json (exists) +INFO:root:Checking weight: 2023-07-30 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-07-30.json (exists) +INFO:root:Checking weight: 2023-07-31 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-07-31.json (exists) +INFO:root:Checking weight: 2023-08-01 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-01.json (exists) +INFO:root:Checking weight: 2023-08-02 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-02.json (exists) +INFO:root:Checking weight: 2023-08-03 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-03.json (exists) +INFO:root:Checking weight: 2023-08-04 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-04.json (exists) +INFO:root:Checking weight: 2023-08-05 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-05.json (exists) +INFO:root:Checking weight: 2023-08-06 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-06.json (exists) +INFO:root:Checking weight: 2023-08-07 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-07.json (exists) +INFO:root:Checking weight: 2023-08-08 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-08.json (exists) +INFO:root:Checking weight: 2023-08-09 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-09.json (exists) +INFO:root:Checking weight: 2023-08-10 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/Weight/weight_2023-08-10.json (exists) +INFO:root:Checking weight: 2023-08-11 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-11.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-11.json +INFO:root:Checking weight: 2023-08-12 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-12.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-12.json +INFO:root:Checking weight: 2023-08-13 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-13.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-13.json +INFO:root:Checking weight: 2023-08-14 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-14.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-14.json +INFO:root:Checking weight: 2023-08-15 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-15.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-15.json +INFO:root:Checking weight: 2023-08-16 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-16.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-16.json +INFO:root:Checking weight: 2023-08-17 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-17.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-17.json +INFO:root:Checking weight: 2023-08-18 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-18.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-18.json +INFO:root:Checking weight: 2023-08-19 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-19.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-19.json +INFO:root:Checking weight: 2023-08-20 overwite False +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-20.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-20.json +INFO:root:Checking weight: 2023-08-21 overwite True +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-21.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-21.json +INFO:root:Checking weight: 2023-08-22 overwite True +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-22.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-22.json +INFO:root:Checking weight: 2023-08-23 overwite True +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/Weight/weight_2023-08-23.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/Weight/weight_2023-08-23.json +INFO:root:Saved weight files for 2023-07-27 (28) to /Users/math/HealthData/Weight for processing +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:Downloading latest rhr data from: 2023-08-09 +INFO:root:Date range to update: 2023-08-09 (15) to /Users/math/HealthData/RHR +INFO:root:Getting rhr: 2023-08-09 (15) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/RHR/rhr_2023-08-09.json (exists) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Ignoring /Users/math/HealthData/RHR/rhr_2023-08-10.json (exists) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-11.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-11.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-12.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-12.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-13.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-13.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-14.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-14.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-15.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-15.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-16.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-16.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-17.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-17.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-18.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-18.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-19.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-19.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-20.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-20.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-21.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-21.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-22.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-22.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Downloading /Users/math/HealthData/RHR/rhr_2023-08-23.json +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/rest_client.py:Writing /Users/math/HealthData/RHR/rhr_2023-08-23.json +INFO:root:Saved rhr files for 2023-08-09 (15) to /Users/math/HealthData/RHR for processing +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:___Importing Latest Data___ +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/import_monitoring.py:Processing profile data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles looking for files matching profile\.json +INFO:root:Found 1 json files for profile\.json in /Users/math/HealthData/FitFiles +INFO:root:Processing 1 json files +INFO:root:DB updated with 4 entries from /Users/math/HealthData/FitFiles/profile.json +INFO:root:DB updated with 4 entries from 1 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/fit_data.py:Processing [] FIT data from /Users/math/HealthData/FitFiles +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles looking for files matching \w+\.(fit|FIT) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/import_monitoring.py:Processing weight data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/Weight looking for files matching weight_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:38:57.408304 +INFO:root:Found 13 json files for weight_\d{4}-\d{2}-\d{2}\.json in /Users/math/HealthData/Weight +INFO:root:Processing 13 json files +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-11.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-21.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-17.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-16.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-20.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-19.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-23.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-15.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-14.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-22.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-18.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-13.json +WARNING:root:No data saved for /Users/math/HealthData/Weight/weight_2023-08-12.json +INFO:root:DB updated with 0 entries from 13 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/import_monitoring.py:Processing daily summary data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring looking for files matching daily_summary_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:38:57.443949 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring/2023 looking for files matching daily_summary_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:38:57.445850 +INFO:root:Found 13 json files for daily_summary_\d{4}-\d{2}-\d{2}\.json in /Users/math/HealthData/FitFiles/Monitoring +INFO:root:Processing 13 json files +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-22.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-18.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-14.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-15.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-19.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-23.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-12.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-13.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-11.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-20.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-16.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-17.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/daily_summary_2023-08-21.json +INFO:root:DB updated with 13 entries from 13 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring looking for files matching hydration_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:38:57.541864 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring/2023 looking for files matching hydration_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:38:57.541944 +INFO:root:Found 13 json files for hydration_\d{4}-\d{2}-\d{2}\.json in /Users/math/HealthData/FitFiles/Monitoring +INFO:root:Processing 13 json files +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-17.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-21.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-20.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-16.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-11.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-13.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-12.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-15.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-23.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-19.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-18.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-22.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Monitoring/2023/hydration_2023-08-14.json +INFO:root:DB updated with 13 entries from 13 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/fit_data.py:Processing [] FIT data from /Users/math/HealthData/FitFiles/Monitoring +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring looking for files matching \w+\.(fit|FIT) and created after 2023-08-23 15:38:57.586422 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Monitoring/2023 looking for files matching \w+\.(fit|FIT) and created after 2023-08-23 15:38:57.586554 +INFO:root:Debug: 0 +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204127237080_WELLNESS.fit (2023-08-12 22:11:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204813780933_WELLNESS.fit (2023-08-17 00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/203934876130_WELLNESS.fit (2023-08-11 22:21:00) [FileType.monitoring_b] with message types: [, , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204477366792_WELLNESS.fit (2023-08-14 23:02:00) [FileType.monitoring_b] with message types: [, , , , , , , 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dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/203934497478_WELLNESS.fit (2023-08-11 00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/205107752190_WELLNESS.fit (2023-08-18 06:42:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204813784735_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204926950447_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204926909903_WELLNESS.fit (2023-08-17 02:02:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/203934479395_WELLNESS.fit (2023-08-10 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00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204101308015_WELLNESS.fit (2023-08-12 18:31:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/205971056002_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/205132538497_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203502534406_METRICS.fit FileType.metrics [, , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204982035686_WELLNESS.fit (2023-08-17 22:04:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( 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(2023-08-11 22:18:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204982047192_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204127239692_WELLNESS.fit (2023-08-13 00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/205829660178_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/205132533060_WELLNESS.fit (2023-08-19 00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203934511259_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:Importing 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, , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/205773906721_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203934497988_METRICS.fit FileType.metrics [, , , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/205009780808_WELLNESS.fit (2023-08-18 02:04:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204813765193_WELLNESS.fit (2023-08-16 22:01:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204785650502_WELLNESS.fit (2023-08-16 14:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204101310061_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204727880993_METRICS.fit FileType.metrics [, , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203592198880_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204449027885_WELLNESS.fit (2023-08-14 19:01:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203502563938_SLEEP_DATA.fit FileType.sleep [, , , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204477376640_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/203962313355_WELLNESS.fit (2023-08-12 00:00:00) [FileType.monitoring_b] with message types: [, , , , , , , , , ] +INFO:root:Importing /Users/math/HealthData/FitFiles/Monitoring/2023/204423197974_WELLNESS.fit (2023-08-13 15:43:00) [FileType.monitoring_b] with message types: [, , , , , , , , , , ] +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/205998967250_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/204477374778_METRICS.fit FileType.metrics [, , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203618241110_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:root:skipping non-matching File( /Users/math/HealthData/FitFiles/Monitoring/2023/203502920529_SLEEP_DATA.fit FileType.sleep [, , , , , ] dev fields {}) +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/import_monitoring.py:Processing sleep data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/Sleep looking for files matching sleep_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:39:07.910530 +INFO:root:Found 13 json files for sleep_\d{4}-\d{2}-\d{2}\.json in /Users/math/HealthData/Sleep +INFO:root:Processing 13 json files +INFO:root:Importing 2023-08-14 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-14 +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 22, 19) (datetime.datetime(2023, 8, 13, 21, 19)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 22, 26) (datetime.datetime(2023, 8, 13, 21, 26)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 23, 42) (datetime.datetime(2023, 8, 13, 22, 42)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 23, 43) (datetime.datetime(2023, 8, 13, 22, 43)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 23, 45) (datetime.datetime(2023, 8, 13, 22, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 23, 49) (datetime.datetime(2023, 8, 13, 22, 49)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 23, 55) (datetime.datetime(2023, 8, 13, 22, 55)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 27) (datetime.datetime(2023, 8, 13, 23, 27)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 29) (datetime.datetime(2023, 8, 13, 23, 29)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 45) (datetime.datetime(2023, 8, 13, 23, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 48) (datetime.datetime(2023, 8, 13, 23, 48)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 52) (datetime.datetime(2023, 8, 13, 23, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 0, 54) (datetime.datetime(2023, 8, 13, 23, 54)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 1, 20) (datetime.datetime(2023, 8, 14, 0, 20)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 1, 37) (datetime.datetime(2023, 8, 14, 0, 37)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 2, 32) (datetime.datetime(2023, 8, 14, 1, 32)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 2, 45) (datetime.datetime(2023, 8, 14, 1, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 5, 16) (datetime.datetime(2023, 8, 14, 4, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 5, 33) (datetime.datetime(2023, 8, 14, 4, 33)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 5, 36) (datetime.datetime(2023, 8, 14, 4, 36)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 5, 41) (datetime.datetime(2023, 8, 14, 4, 41)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 6, 41) (datetime.datetime(2023, 8, 14, 5, 41)) +INFO:root:DB updated with 22 entries from /Users/math/HealthData/Sleep/sleep_2023-08-14.json +INFO:root:Importing 2023-08-22 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-22 +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 22, 26) (datetime.datetime(2023, 8, 21, 21, 26)) +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 23, 36) (datetime.datetime(2023, 8, 21, 22, 36)) +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 23, 38) (datetime.datetime(2023, 8, 21, 22, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 23, 39) (datetime.datetime(2023, 8, 21, 22, 39)) +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 23, 52) (datetime.datetime(2023, 8, 21, 22, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 21, 23, 53) (datetime.datetime(2023, 8, 21, 22, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 2, 5) (datetime.datetime(2023, 8, 22, 1, 5)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 2, 13) (datetime.datetime(2023, 8, 22, 1, 13)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 2, 14) (datetime.datetime(2023, 8, 22, 1, 14)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 2, 19) (datetime.datetime(2023, 8, 22, 1, 19)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 4, 38) (datetime.datetime(2023, 8, 22, 3, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 5, 8) (datetime.datetime(2023, 8, 22, 4, 8)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 6, 16) (datetime.datetime(2023, 8, 22, 5, 16)) +INFO:root:DB updated with 13 entries from /Users/math/HealthData/Sleep/sleep_2023-08-22.json +INFO:root:Importing 2023-08-18 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-18 +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 22, 12) (datetime.datetime(2023, 8, 17, 21, 12)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 22, 29) (datetime.datetime(2023, 8, 17, 21, 29)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 23, 10) (datetime.datetime(2023, 8, 17, 22, 10)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 23, 42) (datetime.datetime(2023, 8, 17, 22, 42)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 0, 9) (datetime.datetime(2023, 8, 17, 23, 9)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 0, 39) (datetime.datetime(2023, 8, 17, 23, 39)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 0, 53) (datetime.datetime(2023, 8, 17, 23, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 1, 6) (datetime.datetime(2023, 8, 18, 0, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 1, 23) (datetime.datetime(2023, 8, 18, 0, 23)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 3, 15) (datetime.datetime(2023, 8, 18, 2, 15)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 3, 38) (datetime.datetime(2023, 8, 18, 2, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 4, 50) (datetime.datetime(2023, 8, 18, 3, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 5, 16) (datetime.datetime(2023, 8, 18, 4, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 6, 5) (datetime.datetime(2023, 8, 18, 5, 5)) +INFO:root:DB updated with 14 entries from /Users/math/HealthData/Sleep/sleep_2023-08-18.json +INFO:root:Importing 2023-08-19 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-19 +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 22, 56) (datetime.datetime(2023, 8, 18, 21, 56)) +INFO:root:Sleep event datetime.datetime(2023, 8, 18, 23, 16) (datetime.datetime(2023, 8, 18, 22, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 0, 0) (datetime.datetime(2023, 8, 18, 23, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 0, 15) (datetime.datetime(2023, 8, 18, 23, 15)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 0, 25) (datetime.datetime(2023, 8, 18, 23, 25)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 3, 1) (datetime.datetime(2023, 8, 19, 2, 1)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 3, 2) (datetime.datetime(2023, 8, 19, 2, 2)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 4, 10) (datetime.datetime(2023, 8, 19, 3, 10)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 4, 31) (datetime.datetime(2023, 8, 19, 3, 31)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 5, 46) (datetime.datetime(2023, 8, 19, 4, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 6, 5) (datetime.datetime(2023, 8, 19, 5, 5)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 6, 9) (datetime.datetime(2023, 8, 19, 5, 9)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 6, 16) (datetime.datetime(2023, 8, 19, 5, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 8, 30) (datetime.datetime(2023, 8, 19, 7, 30)) +INFO:root:DB updated with 14 entries from /Users/math/HealthData/Sleep/sleep_2023-08-19.json +INFO:root:Importing 2023-08-23 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-23 +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 22, 3) (datetime.datetime(2023, 8, 22, 21, 3)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 22, 12) (datetime.datetime(2023, 8, 22, 21, 12)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 22, 56) (datetime.datetime(2023, 8, 22, 21, 56)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 23, 8) (datetime.datetime(2023, 8, 22, 22, 8)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 23, 10) (datetime.datetime(2023, 8, 22, 22, 10)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 23, 25) (datetime.datetime(2023, 8, 22, 22, 25)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 23, 45) (datetime.datetime(2023, 8, 22, 22, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 22, 23, 58) (datetime.datetime(2023, 8, 22, 22, 58)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 0, 0) (datetime.datetime(2023, 8, 22, 23, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 0, 19) (datetime.datetime(2023, 8, 22, 23, 19)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 0, 35) (datetime.datetime(2023, 8, 22, 23, 35)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 0, 46) (datetime.datetime(2023, 8, 22, 23, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 1, 3) (datetime.datetime(2023, 8, 23, 0, 3)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 2, 10) (datetime.datetime(2023, 8, 23, 1, 10)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 2, 34) (datetime.datetime(2023, 8, 23, 1, 34)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 46) (datetime.datetime(2023, 8, 23, 2, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 50) (datetime.datetime(2023, 8, 23, 2, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 52) (datetime.datetime(2023, 8, 23, 2, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 53) (datetime.datetime(2023, 8, 23, 2, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 54) (datetime.datetime(2023, 8, 23, 2, 54)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 3, 56) (datetime.datetime(2023, 8, 23, 2, 56)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 4, 53) (datetime.datetime(2023, 8, 23, 3, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 23, 5, 1) (datetime.datetime(2023, 8, 23, 4, 1)) +INFO:root:DB updated with 23 entries from /Users/math/HealthData/Sleep/sleep_2023-08-23.json +INFO:root:Importing 2023-08-15 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-15 +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 22, 48) (datetime.datetime(2023, 8, 14, 21, 48)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 22, 57) (datetime.datetime(2023, 8, 14, 21, 57)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 23, 37) (datetime.datetime(2023, 8, 14, 22, 37)) +INFO:root:Sleep event datetime.datetime(2023, 8, 14, 23, 46) (datetime.datetime(2023, 8, 14, 22, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 0, 5) (datetime.datetime(2023, 8, 14, 23, 5)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 0, 26) (datetime.datetime(2023, 8, 14, 23, 26)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 1, 26) (datetime.datetime(2023, 8, 15, 0, 26)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 1, 49) (datetime.datetime(2023, 8, 15, 0, 49)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 3, 6) (datetime.datetime(2023, 8, 15, 2, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 3, 38) (datetime.datetime(2023, 8, 15, 2, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 4, 58) (datetime.datetime(2023, 8, 15, 3, 58)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 5, 8) (datetime.datetime(2023, 8, 15, 4, 8)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 6, 39) (datetime.datetime(2023, 8, 15, 5, 39)) +INFO:root:DB updated with 13 entries from /Users/math/HealthData/Sleep/sleep_2023-08-15.json +INFO:root:Importing 2023-08-12 with REM data and UTC offset 7200.0 +WARNING:root:Could not get sleep score for 2023-08-12 +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 23, 16) (datetime.datetime(2023, 8, 11, 21, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 23, 32) (datetime.datetime(2023, 8, 11, 21, 32)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 0, 38) (datetime.datetime(2023, 8, 11, 22, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 0, 40) (datetime.datetime(2023, 8, 11, 22, 40)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 0, 41) (datetime.datetime(2023, 8, 11, 22, 41)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 0, 57) (datetime.datetime(2023, 8, 11, 22, 57)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 1, 7) (datetime.datetime(2023, 8, 11, 23, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 2, 47) (datetime.datetime(2023, 8, 12, 0, 47)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 3, 2) (datetime.datetime(2023, 8, 12, 1, 2)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 4, 46) (datetime.datetime(2023, 8, 12, 2, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 4, 55) (datetime.datetime(2023, 8, 12, 2, 55)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 6, 34) (datetime.datetime(2023, 8, 12, 4, 34)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 7, 7) (datetime.datetime(2023, 8, 12, 5, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 7, 58) (datetime.datetime(2023, 8, 12, 5, 58)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 8, 56) (datetime.datetime(2023, 8, 12, 6, 56)) +INFO:root:DB updated with 15 entries from /Users/math/HealthData/Sleep/sleep_2023-08-12.json +INFO:root:Importing 2023-08-13 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-13 +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 22) (datetime.datetime(2023, 8, 12, 20, 22)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 38) (datetime.datetime(2023, 8, 12, 20, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 51) (datetime.datetime(2023, 8, 12, 20, 51)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 52) (datetime.datetime(2023, 8, 12, 20, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 54) (datetime.datetime(2023, 8, 12, 20, 54)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 55) (datetime.datetime(2023, 8, 12, 20, 55)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 21, 59) (datetime.datetime(2023, 8, 12, 20, 59)) +INFO:root:Sleep event datetime.datetime(2023, 8, 12, 23, 22) (datetime.datetime(2023, 8, 12, 22, 22)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 0, 21) (datetime.datetime(2023, 8, 12, 23, 21)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 1, 50) (datetime.datetime(2023, 8, 13, 0, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 1, 51) (datetime.datetime(2023, 8, 13, 0, 51)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 1, 52) (datetime.datetime(2023, 8, 13, 0, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 2, 9) (datetime.datetime(2023, 8, 13, 1, 9)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 4, 4) (datetime.datetime(2023, 8, 13, 3, 4)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 4, 42) (datetime.datetime(2023, 8, 13, 3, 42)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 4, 45) (datetime.datetime(2023, 8, 13, 3, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 4, 48) (datetime.datetime(2023, 8, 13, 3, 48)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 6, 6) (datetime.datetime(2023, 8, 13, 5, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 6, 8) (datetime.datetime(2023, 8, 13, 5, 8)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 6, 9) (datetime.datetime(2023, 8, 13, 5, 9)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 6, 23) (datetime.datetime(2023, 8, 13, 5, 23)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 7, 0) (datetime.datetime(2023, 8, 13, 6, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 13, 7, 1) (datetime.datetime(2023, 8, 13, 6, 1)) +INFO:root:DB updated with 23 entries from /Users/math/HealthData/Sleep/sleep_2023-08-13.json +INFO:root:Importing 2023-08-11 with REM data and UTC offset 7200.0 +WARNING:root:Could not get sleep score for 2023-08-11 +INFO:root:Sleep event datetime.datetime(2023, 8, 10, 22, 7) (datetime.datetime(2023, 8, 10, 20, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 10, 22, 10) (datetime.datetime(2023, 8, 10, 20, 10)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 0, 6) (datetime.datetime(2023, 8, 10, 22, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 0, 25) (datetime.datetime(2023, 8, 10, 22, 25)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 0, 41) (datetime.datetime(2023, 8, 10, 22, 41)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 1, 7) (datetime.datetime(2023, 8, 10, 23, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 1, 51) (datetime.datetime(2023, 8, 10, 23, 51)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 2, 52) (datetime.datetime(2023, 8, 11, 0, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 3, 34) (datetime.datetime(2023, 8, 11, 1, 34)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 3, 53) (datetime.datetime(2023, 8, 11, 1, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 8, 5) (datetime.datetime(2023, 8, 11, 6, 5)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 8, 25) (datetime.datetime(2023, 8, 11, 6, 25)) +INFO:root:Sleep event datetime.datetime(2023, 8, 11, 8, 53) (datetime.datetime(2023, 8, 11, 6, 53)) +INFO:root:DB updated with 13 entries from /Users/math/HealthData/Sleep/sleep_2023-08-11.json +INFO:root:Importing 2023-08-16 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-16 +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 21, 40) (datetime.datetime(2023, 8, 15, 20, 40)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 22, 16) (datetime.datetime(2023, 8, 15, 21, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 22, 38) (datetime.datetime(2023, 8, 15, 21, 38)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 22, 44) (datetime.datetime(2023, 8, 15, 21, 44)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 23, 2) (datetime.datetime(2023, 8, 15, 22, 2)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 23, 6) (datetime.datetime(2023, 8, 15, 22, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 23, 20) (datetime.datetime(2023, 8, 15, 22, 20)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 23, 55) (datetime.datetime(2023, 8, 15, 22, 55)) +INFO:root:Sleep event datetime.datetime(2023, 8, 15, 23, 56) (datetime.datetime(2023, 8, 15, 22, 56)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 0, 1) (datetime.datetime(2023, 8, 15, 23, 1)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 0, 3) (datetime.datetime(2023, 8, 15, 23, 3)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 47) (datetime.datetime(2023, 8, 16, 0, 47)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 49) (datetime.datetime(2023, 8, 16, 0, 49)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 51) (datetime.datetime(2023, 8, 16, 0, 51)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 53) (datetime.datetime(2023, 8, 16, 0, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 54) (datetime.datetime(2023, 8, 16, 0, 54)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 1, 56) (datetime.datetime(2023, 8, 16, 0, 56)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 3, 6) (datetime.datetime(2023, 8, 16, 2, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 3, 7) (datetime.datetime(2023, 8, 16, 2, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 4, 8) (datetime.datetime(2023, 8, 16, 3, 8)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 4, 44) (datetime.datetime(2023, 8, 16, 3, 44)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 4, 46) (datetime.datetime(2023, 8, 16, 3, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 4, 48) (datetime.datetime(2023, 8, 16, 3, 48)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 14) (datetime.datetime(2023, 8, 16, 4, 14)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 20) (datetime.datetime(2023, 8, 16, 4, 20)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 37) (datetime.datetime(2023, 8, 16, 4, 37)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 39) (datetime.datetime(2023, 8, 16, 4, 39)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 41) (datetime.datetime(2023, 8, 16, 4, 41)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 5, 50) (datetime.datetime(2023, 8, 16, 4, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 6, 7) (datetime.datetime(2023, 8, 16, 5, 7)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 6, 25) (datetime.datetime(2023, 8, 16, 5, 25)) +INFO:root:DB updated with 31 entries from /Users/math/HealthData/Sleep/sleep_2023-08-16.json +INFO:root:Importing 2023-08-20 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-20 +INFO:root:Sleep event datetime.datetime(2023, 8, 19, 23, 44) (datetime.datetime(2023, 8, 19, 22, 44)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 0, 0) (datetime.datetime(2023, 8, 19, 23, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 0, 5) (datetime.datetime(2023, 8, 19, 23, 5)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 0, 16) (datetime.datetime(2023, 8, 19, 23, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 0, 46) (datetime.datetime(2023, 8, 19, 23, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 0, 50) (datetime.datetime(2023, 8, 19, 23, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 4) (datetime.datetime(2023, 8, 20, 0, 4)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 23) (datetime.datetime(2023, 8, 20, 0, 23)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 27) (datetime.datetime(2023, 8, 20, 0, 27)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 33) (datetime.datetime(2023, 8, 20, 0, 33)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 40) (datetime.datetime(2023, 8, 20, 0, 40)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 43) (datetime.datetime(2023, 8, 20, 0, 43)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 1, 45) (datetime.datetime(2023, 8, 20, 0, 45)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 2, 34) (datetime.datetime(2023, 8, 20, 1, 34)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 2, 52) (datetime.datetime(2023, 8, 20, 1, 52)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 2, 59) (datetime.datetime(2023, 8, 20, 1, 59)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 3, 18) (datetime.datetime(2023, 8, 20, 2, 18)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 3, 19) (datetime.datetime(2023, 8, 20, 2, 19)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 4, 23) (datetime.datetime(2023, 8, 20, 3, 23)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 4, 40) (datetime.datetime(2023, 8, 20, 3, 40)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 4, 48) (datetime.datetime(2023, 8, 20, 3, 48)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 4, 57) (datetime.datetime(2023, 8, 20, 3, 57)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 5, 0) (datetime.datetime(2023, 8, 20, 4, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 5, 1) (datetime.datetime(2023, 8, 20, 4, 1)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 6, 29) (datetime.datetime(2023, 8, 20, 5, 29)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 6, 57) (datetime.datetime(2023, 8, 20, 5, 57)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 7, 6) (datetime.datetime(2023, 8, 20, 6, 6)) +INFO:root:Sleep event datetime.datetime(2023, 8, 20, 7, 22) (datetime.datetime(2023, 8, 20, 6, 22)) +INFO:root:DB updated with 28 entries from /Users/math/HealthData/Sleep/sleep_2023-08-20.json +INFO:root:Importing 2023-08-21 without REM data and UTC offset 0 +WARNING:root:Could not get sleep score for 2023-08-21 +WARNING:root:No data saved for /Users/math/HealthData/Sleep/sleep_2023-08-21.json +INFO:root:Importing 2023-08-17 with REM data and UTC offset 3600.0 +WARNING:root:Could not get sleep score for 2023-08-17 +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 22, 50) (datetime.datetime(2023, 8, 16, 21, 50)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 23, 13) (datetime.datetime(2023, 8, 16, 22, 13)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 23, 46) (datetime.datetime(2023, 8, 16, 22, 46)) +INFO:root:Sleep event datetime.datetime(2023, 8, 16, 23, 51) (datetime.datetime(2023, 8, 16, 22, 51)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 0, 44) (datetime.datetime(2023, 8, 16, 23, 44)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 0, 53) (datetime.datetime(2023, 8, 16, 23, 53)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 0, 59) (datetime.datetime(2023, 8, 16, 23, 59)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 1, 3) (datetime.datetime(2023, 8, 17, 0, 3)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 1, 49) (datetime.datetime(2023, 8, 17, 0, 49)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 3, 37) (datetime.datetime(2023, 8, 17, 2, 37)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 3, 57) (datetime.datetime(2023, 8, 17, 2, 57)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 4, 59) (datetime.datetime(2023, 8, 17, 3, 59)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 5, 16) (datetime.datetime(2023, 8, 17, 4, 16)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 0) (datetime.datetime(2023, 8, 17, 5, 0)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 1) (datetime.datetime(2023, 8, 17, 5, 1)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 3) (datetime.datetime(2023, 8, 17, 5, 3)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 26) (datetime.datetime(2023, 8, 17, 5, 26)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 27) (datetime.datetime(2023, 8, 17, 5, 27)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 28) (datetime.datetime(2023, 8, 17, 5, 28)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 30) (datetime.datetime(2023, 8, 17, 5, 30)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 31) (datetime.datetime(2023, 8, 17, 5, 31)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 40) (datetime.datetime(2023, 8, 17, 5, 40)) +INFO:root:Sleep event datetime.datetime(2023, 8, 17, 6, 41) (datetime.datetime(2023, 8, 17, 5, 41)) +INFO:root:DB updated with 23 entries from /Users/math/HealthData/Sleep/sleep_2023-08-17.json +INFO:root:DB updated with 232 entries from 13 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/import_monitoring.py:Processing rhr data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/RHR looking for files matching rhr_\d{4}-\d{2}-\d{2}\.json and created after 2023-08-23 15:39:08.630069 +INFO:root:Found 13 json files for rhr_\d{4}-\d{2}-\d{2}\.json in /Users/math/HealthData/RHR +INFO:root:Processing 13 json files +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-14.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-18.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-22.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-23.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-19.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-15.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-12.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-13.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-11.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-16.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-20.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-21.json +INFO:root:DB updated with 1 entries from /Users/math/HealthData/RHR/rhr_2023-08-17.json +INFO:root:DB updated with 13 entries from 13 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/garmin_tcx_data.py:Processing activities tcx data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Activities looking for files matching .*\.tcx and created after 2023-08-23 15:39:08.667628 +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/garmin_json_data.py:Processing latest activities summary data from /Users/math/HealthData/FitFiles/Activities +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Activities looking for files matching activity_\d*\.json and created after 2023-08-23 15:39:08.667904 +INFO:root:Found 1 json files for activity_\d*\.json in /Users/math/HealthData/FitFiles/Activities +INFO:idbutils.db_object:Found time_col_name start_time for table Activities +INFO:idbutils.db_object:Found time_col_name start_time for table ActivityLaps +INFO:idbutils.db_object:Found time_col_name timestamp for table ActivityRecords +INFO:idbutils.db_object:Found time_col_name avg_pace for table StepsActivities +INFO:root:Processing 1 json files +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Activities/activity_11766891006.json +INFO:root:DB updated with 1 entries from 1 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/garmin_json_data.py:Processing activities detail data +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Activities looking for files matching activity_details_\d*\.json and created after 2023-08-23 15:39:08.695291 +INFO:root:Found 1 json files for activity_details_\d*\.json in /Users/math/HealthData/FitFiles/Activities +INFO:root:Processing 1 json files +INFO:root:DB updated with 1 entries from /Users/math/HealthData/FitFiles/Activities/activity_details_11766891006.json +INFO:root:DB updated with 1 entries from 1 files. +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/fit_data.py:Processing [] FIT data from /Users/math/HealthData/FitFiles/Activities +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/idbutils/file_processor.py:Reading directory: /Users/math/HealthData/FitFiles/Activities looking for files matching \w+\.(fit|FIT) and created after 2023-08-23 15:39:08.714212 +INFO:root:Debug: 0 +INFO:root:Importing /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit (2023-08-11 20:19:00) [FileType.activity] with message types: [, , , , , , , , , , , , , , , , , , , , ] +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 18, 26, 34, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0, 2, 199000), datetime.time(0, 0, 38, 230000), datetime.time(0, 1, 23, 1000), datetime.time(0, 0, 31, 7000), datetime.time(0, 3, 45, 993000), datetime.time(0, 0), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 0, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 0, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0, 38, 230000), 'hrz_2_time': datetime.time(0, 1, 23, 1000), 'hrz_3_time': datetime.time(0, 0, 31, 7000), 'hrz_4_time': datetime.time(0, 3, 45, 993000), 'hrz_5_time': datetime.time(0, 0), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 18, 33, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 6, 26, 388000), datetime.time(0, 0), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 1, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 1, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 6, 26, 388000), 'hrz_5_time': datetime.time(0, 0), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 18, 39, 18, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 5, 30, 72000), datetime.time(0, 0, 46, 999000), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 2, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 2, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 5, 30, 72000), 'hrz_5_time': datetime.time(0, 0, 46, 999000), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 18, 45, 21, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 4, 2, 1000), datetime.time(0, 1, 17, 7000), datetime.time(0, 0, 44, 1000)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 3, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 3, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 4, 2, 1000), 'hrz_5_time': datetime.time(0, 1, 17, 7000), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 18, 52, 32, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 6, 3, 269000), datetime.time(0, 1, 7, 996000), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 4, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 4, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 6, 3, 269000), 'hrz_5_time': datetime.time(0, 1, 7, 996000), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 19, 0, 2, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 7, 30, 486000), datetime.time(0, 0), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 5, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 5, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 7, 30, 486000), 'hrz_5_time': datetime.time(0, 0), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 19, 5, 57, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 3, 27, 678000), datetime.time(0, 2, 21), datetime.time(0, 0, 7, 2000)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 6, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 6, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 3, 27, 678000), 'hrz_5_time': datetime.time(0, 2, 21), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 19, 13, 56, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 2, 17, 997000), datetime.time(0, 5, 41, 642000), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 7, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 7, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 2, 17, 997000), 'hrz_5_time': datetime.time(0, 5, 41, 642000), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 19, 16, 21, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0), datetime.time(0, 0, 29, 441000), datetime.time(0, 1, 48, 929000), datetime.time(0, 0)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 8, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing lap hr zone data {'activity_id': '11766891006', 'lap': 8, 'hr_zones_method': , 'hrz_1_time': datetime.time(0, 0), 'hrz_2_time': datetime.time(0, 0), 'hrz_3_time': datetime.time(0, 0), 'hrz_4_time': datetime.time(0, 0, 29, 441000), 'hrz_5_time': datetime.time(0, 1, 48, 929000), 'hrz_1_hr': 92, 'hrz_2_hr': 110, 'hrz_3_hr': 128, 'hrz_4_hr': 146, 'hrz_5_hr': 165} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing hr zone data for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:writing session hr zone data {'timestamp': datetime.datetime(2023, 8, 11, 19, 16, 21, tzinfo=datetime.timezone.utc), 'hr_zones_time': [datetime.time(0, 0, 2, 199000), datetime.time(0, 0, 38, 230000), datetime.time(0, 1, 23, 1000), datetime.time(0, 0, 31, 7000), datetime.time(0, 39, 33, 325000), datetime.time(0, 13, 3, 573000), datetime.time(0, 0, 51, 3000)], 'unknown_5': [None, None, None, None, None, None, None, None], 'unknown_9': [None, None, None, None, None, None, None, None], 'hr_zones_timer_type': , 'record_num': 0, 'unknown_15': None, 'hr_zones': [92, 110, 128, 146, 165, 183], 'hr_zones_method': , 'max_heart_rate': 183.0, 'min_heart_rate': 0.0, 'lactate_threshhold_heart_rate': 0.0, 'unknown_14': None} for /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit +INFO:root:No entry handler _write_firstbeat_entry for known message type (1) from /Users/math/HealthData/FitFiles/Activities/11766891006_ACTIVITY.fit: DataMessage: : {'timestamp': datetime.datetime(2023, 8, 11, 19, 16, 21, tzinfo=datetime.timezone.utc), 'unknown_2': 13378940.0, 'unknown_3': 13378940.0, 'unknown_5': 971892.0, 'unknown_6': 52121585.0, 'metamax': 888611, 'position_21': None, 'position_24': None, 'unknown_26': 13369344.0, 'unknown_29': 888611.0, 'unknown_35': 3435296.0, 'unknown_36': None, 'unknown_48': None, 'recovery_time': datetime.time(16, 27), 'unknown_10': 53311.0, 'lactate_threshold_heart_rate': 0.0, 'lactate_threshold_speed': 0.0, 'unknown_16': 0.0, 'unknown_0': 161.0, 'max_heart_rate': 189.0, 'aerobic_training_effect': 4.8, 'unknown_8': 5.0, 'unknown_11': 1.0, 'unknown_12': 0.0, 'unknown_13': 0.0, 'unknown_17': -14.0, 'unknown_18': 0.0, 'unknown_19': 0.0, 'anaerobic_training_effect': 3.4, 'unknown_22': 13.0, 'unknown_23': 2.0, 'unknown_25': 0.0, 'unknown_34': 1.0} +INFO:/Users/math/micromamba/envs/iot_ingester/bin/garmindb_cli.py:___Analyzing Data___ +INFO:idbutils.db_object:Found time_col_name timestamp for table summary +INFO:idbutils.db_object:Found time_col_name timestamp for table summary +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/analyze.py:Summary Tables Generation: +INFO:/Users/math/micromamba/envs/iot_ingester/lib/python3.11/site-packages/garmindb/analyze.py:Generating table entries for 2023 diff --git a/assets/blog/running/running.ipynb b/assets/blog/running/running.ipynb index 4f88c3c..1ac8f57 100644 --- a/assets/blog/running/running.ipynb +++ b/assets/blog/running/running.ipynb @@ -2,28 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 106, - "id": "4b3f6dc4-69d3-4f8a-98b7-38e9745483c8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting tabulate\n", - " Downloading tabulate-0.9.0-py3-none-any.whl (35 kB)\n", - "Installing collected packages: tabulate\n", - "Successfully installed tabulate-0.9.0\n" - ] - } - ], - "source": [ - "!pip install tabulate" - ] - }, - { - "cell_type": "code", - "execution_count": 109, + "execution_count": 2, "id": "0eda6302-263d-4cb4-bb63-a3757839d95c", "metadata": {}, "outputs": [ @@ -70,102 +49,102 @@ " \n", " \n", " 0\n", - " 2023-07-30 18:34:42\n", - " Heavy rain, grazing on blackberries\n", - " 7\n", + " 2023-08-21 18:18:51\n", + " Evening Run\n", " 4\n", - " 7455\n", - " 8206\n", - " 10.1484\n", - " 21012.5\n", - " 47.1\n", + " 1\n", + " 4381\n", + " 4684\n", + " 9.8208\n", + " 11951.2\n", + " 32.8\n", " Run\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 51.5555\n", - " -0.080539\n", + " 0.0\n", + " 51.5554\n", + " -0.080556\n", " NaN\n", " \n", " \n", " 1\n", - " 2023-07-27 19:06:27\n", + " 2023-08-17 18:30:22\n", " Evening Run\n", " 4\n", " 0\n", - " 1046\n", - " 1309\n", - " 11.9772\n", - " 3479.5\n", - " 15.3\n", + " 2312\n", + " 2868\n", + " 9.7596\n", + " 6267.5\n", + " 23.8\n", " Run\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 51.5556\n", - " -0.080564\n", + " 0.0\n", + " 51.5554\n", + " -0.080529\n", " NaN\n", " \n", " \n", " 2\n", - " 2023-07-26 07:20:46\n", - " Morning Run\n", + " 2023-08-14 17:15:33\n", + " Evening Run\n", " 4\n", " 0\n", - " 3368\n", - " 4697\n", - " 9.6840\n", - " 9058.4\n", - " 40.5\n", + " 3305\n", + " 4100\n", + " 10.7172\n", + " 9839.3\n", + " 43.2\n", " Run\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 51.5556\n", - " -0.080450\n", + " 0.0\n", + " 51.5554\n", + " -0.080523\n", " NaN\n", " \n", " \n", " 3\n", - " 2023-07-23 19:44:19\n", + " 2023-08-11 20:19:00\n", " Evening Run\n", " 4\n", " 0\n", - " 1304\n", - " 2055\n", - " 10.3716\n", - " 3757.1\n", - " 14.9\n", + " 3358\n", + " 3435\n", + " 8.9352\n", + " 8335.1\n", + " 59.0\n", " Run\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 51.5553\n", - " -0.080291\n", + " 190\n", + " 160.7\n", + " 43.7695\n", + " 4.121180\n", " NaN\n", " \n", " \n", " 4\n", - " 2023-07-22 20:09:37\n", - " Night Run\n", - " 5\n", - " 1\n", - " 4073\n", - " 5099\n", - " 10.1772\n", - " 11514.3\n", - " 43.8\n", + " 2023-08-09 20:20:32\n", + " Evening Run\n", + " 2\n", + " 0\n", + " 1692\n", + " 2560\n", + " 9.3744\n", + " 4405.5\n", + " 66.9\n", " Run\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 51.5555\n", - " -0.080549\n", + " 0.0\n", + " 43.7694\n", + " 4.121110\n", " NaN\n", " \n", " \n", @@ -189,7 +168,7 @@ " ...\n", " \n", " \n", - " 191\n", + " 197\n", " 2017-04-23 19:01:35\n", " Evening Run\n", " 4\n", @@ -203,13 +182,13 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 0.0\n", " 52.2080\n", " 0.119659\n", " NaN\n", " \n", " \n", - " 192\n", + " 198\n", " 2017-03-06 18:35:40\n", " Evening Run\n", " 4\n", @@ -223,13 +202,13 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 0.0\n", " 52.2080\n", " 0.119585\n", " NaN\n", " \n", " \n", - " 193\n", + " 199\n", " 2017-02-14 19:15:36\n", " Evening Run\n", " 4\n", @@ -243,13 +222,13 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 0.0\n", " 52.2079\n", " 0.119709\n", " NaN\n", " \n", " \n", - " 194\n", + " 200\n", " 2017-01-30 19:10:27\n", " Evening Run\n", " 4\n", @@ -263,13 +242,13 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 0.0\n", " 52.2081\n", " 0.119615\n", " NaN\n", " \n", " \n", - " 195\n", + " 201\n", " 2017-01-16 18:19:07\n", " Evening Run\n", " 4\n", @@ -283,94 +262,83 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 0.0\n", " 52.2078\n", " 0.119573\n", " NaN\n", " \n", " \n", "\n", - "

196 rows × 17 columns

\n", + "

202 rows × 17 columns

\n", "" ], "text/plain": [ - " Date Name Tiles \n", - "0 2023-07-30 18:34:42 Heavy rain, grazing on blackberries 7 \\\n", - "1 2023-07-27 19:06:27 Evening Run 4 \n", - "2 2023-07-26 07:20:46 Morning Run 4 \n", - "3 2023-07-23 19:44:19 Evening Run 4 \n", - "4 2023-07-22 20:09:37 Night Run 5 \n", - ".. ... ... ... \n", - "191 2017-04-23 19:01:35 Evening Run 4 \n", - "192 2017-03-06 18:35:40 Evening Run 4 \n", - "193 2017-02-14 19:15:36 Evening Run 4 \n", - "194 2017-01-30 19:10:27 Evening Run 4 \n", - "195 2017-01-16 18:19:07 Evening Run 4 \n", + " Date Name Tiles New Tiles Moving time \n", + "0 2023-08-21 18:18:51 Evening Run 4 1 4381 \\\n", + "1 2023-08-17 18:30:22 Evening Run 4 0 2312 \n", + "2 2023-08-14 17:15:33 Evening Run 4 0 3305 \n", + "3 2023-08-11 20:19:00 Evening Run 4 0 3358 \n", + "4 2023-08-09 20:20:32 Evening Run 2 0 1692 \n", + ".. ... ... ... ... ... \n", + "197 2017-04-23 19:01:35 Evening Run 4 0 2899 \n", + "198 2017-03-06 18:35:40 Evening Run 4 3 2950 \n", + "199 2017-02-14 19:15:36 Evening Run 4 0 3166 \n", + "200 2017-01-30 19:10:27 Evening Run 4 0 3059 \n", + "201 2017-01-16 18:19:07 Evening Run 4 4 3216 \n", "\n", - " New Tiles Moving time Elapsed time Average Distance (m) \n", - "0 4 7455 8206 10.1484 21012.5 \\\n", - "1 0 1046 1309 11.9772 3479.5 \n", - "2 0 3368 4697 9.6840 9058.4 \n", - "3 0 1304 2055 10.3716 3757.1 \n", - "4 1 4073 5099 10.1772 11514.3 \n", - ".. ... ... ... ... ... \n", - "191 0 2899 2948 10.6128 8547.3 \n", - "192 3 2950 2972 11.3328 9287.6 \n", - "193 0 3166 3286 9.9144 8717.6 \n", - "194 0 3059 3172 10.1196 8598.0 \n", - "195 4 3216 3478 9.6588 8627.4 \n", + " Elapsed time Average Distance (m) Elevation (m) Type Commute \n", + "0 4684 9.8208 11951.2 32.8 Run 0 \\\n", + "1 2868 9.7596 6267.5 23.8 Run 0 \n", + "2 4100 10.7172 9839.3 43.2 Run 0 \n", + "3 3435 8.9352 8335.1 59.0 Run 0 \n", + "4 2560 9.3744 4405.5 66.9 Run 0 \n", + ".. ... ... ... ... ... ... \n", + "197 2948 10.6128 8547.3 17.8 Run 0 \n", + "198 2972 11.3328 9287.6 12.0 Run 0 \n", + "199 3286 9.9144 8717.6 17.7 Run 0 \n", + "200 3172 10.1196 8598.0 17.7 Run 0 \n", + "201 3478 9.6588 8627.4 17.7 Run 0 \n", "\n", - " Elevation (m) Type Commute Trainer Max heartrate Avg heartrate \n", - "0 47.1 Run 0 0 0 0 \\\n", - "1 15.3 Run 0 0 0 0 \n", - "2 40.5 Run 0 0 0 0 \n", - "3 14.9 Run 0 0 0 0 \n", - "4 43.8 Run 0 0 0 0 \n", - ".. ... ... ... ... ... ... \n", - "191 17.8 Run 0 0 0 0 \n", - "192 12.0 Run 0 0 0 0 \n", - "193 17.7 Run 0 0 0 0 \n", - "194 17.7 Run 0 0 0 0 \n", - "195 17.7 Run 0 0 0 0 \n", + " Trainer Max heartrate Avg heartrate Start Lat Start Long Gear \n", + "0 0 0 0.0 51.5554 -0.080556 NaN \n", + "1 0 0 0.0 51.5554 -0.080529 NaN \n", + "2 0 0 0.0 51.5554 -0.080523 NaN \n", + "3 0 190 160.7 43.7695 4.121180 NaN \n", + "4 0 0 0.0 43.7694 4.121110 NaN \n", + ".. ... ... ... ... ... ... \n", + "197 0 0 0.0 52.2080 0.119659 NaN \n", + "198 0 0 0.0 52.2080 0.119585 NaN \n", + "199 0 0 0.0 52.2079 0.119709 NaN \n", + "200 0 0 0.0 52.2081 0.119615 NaN \n", + "201 0 0 0.0 52.2078 0.119573 NaN \n", "\n", - " Start Lat Start Long Gear \n", - "0 51.5555 -0.080539 NaN \n", - "1 51.5556 -0.080564 NaN \n", - "2 51.5556 -0.080450 NaN \n", - "3 51.5553 -0.080291 NaN \n", - "4 51.5555 -0.080549 NaN \n", - ".. ... ... ... \n", - "191 52.2080 0.119659 NaN \n", - "192 52.2080 0.119585 NaN \n", - "193 52.2079 0.119709 NaN \n", - "194 52.2081 0.119615 NaN \n", - "195 52.2078 0.119573 NaN \n", - "\n", - "[196 rows x 17 columns]" + "[202 rows x 17 columns]" ] }, - "execution_count": 109, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Get runs from \n", + "\n", "import pandas as pd\n", - "runs = pd.read_csv(\"runs.csv\", parse_dates = [\"Date\"])\n", + "runs = pd.read_excel(\"runs.xlsx\", parse_dates = [\"Date\"])\n", "runs" ] }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 3, "id": "a64a0e41-8227-4145-a539-b7c448d422e5", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -387,7 +355,7 @@ " range = (high - low)\n", " return (dates - low) / range\n", "\n", - "f, ax = plt.subplots(figsize = (7,3))\n", + "f, ax = plt.subplots(figsize = (5,2.5))\n", "ax.set(ylabel = \"Moving Time (mins)\", xlabel = \"Distance (km)\")\n", "\n", "x = runs[\"Distance (m)\"].values/1e3\n", @@ -409,15 +377,15 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 4, "id": "51846c1c-a67e-4da4-997c-5699e9e85ecf", "metadata": {}, "outputs": [ { "data": { - "image/png": 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VgsUXnWlpaWjfvj38/f3RtWtXJCYmAgDeeOMNLpdEREREVE5YfNH53nvvQalUIiYmBjY2NlJ7v379sHPnTjMmIyIiIqK7LH4i0e7du7Fr1y54e3ubtPv5+SE6OtpMqYiIiIjoXhbf05mbm2vSw3nX7du3oVarzZCIiIiIiP7L4ovOtm3bYu3atdKxIAgwGo348ssvERwcbMZkRERERHSXxd9e//LLLxEUFIQzZ85Aq9Xiww8/RHh4ONLT03Hs2DFzxysVT7KUEZeUISIiInOy+J7OunXr4uLFi2jevDk6dOiA3NxcvPzyyzh37hxq1qxp7nhEREREBAvv6dTpdOjYsSOWLVuGGTNmmDsOERERET2ARfd0KpVKXL58GYIgmDsKERERET2ERRedADBkyBCsWLHC3DGIiIiI6CEs+vY6AGi1Wvz444/Ys2cPmjZtWmTP9QULFpgpGRGVFU6uIyIq/yy+6Lx8+TKaNGkCALh+3fQfHt52JyIiIiofLLbovHXrFqpXr44DBw6YOwoRERERPYLFjun08/NDamqqdNyvXz8kJyebMRERERERPYjFFp2iKJoc//XXX8jNzTVTGiIiIiJ6GIu9vU5ERGWvPE/aKs/ZiMiCezoFQSgyUYgTh4iIiIjKJ4vt6RRFEcOGDYNarQYAFBQUYPTo0UWWTAoNDTVHPCIiIiK6h8UWnUOHDjU5HjRokJmSEBEREdGjWGzRuWrVKnNHICIiIqLHZLFFJxXPkwywJyJTZfX/ESe3lH9lNWmJk6OoIrHYiUREREREZDlYdBIRERFRqWPRSURERESljmM68e/uRllZWWZO8ngKcnPMHYHI4j3J/+9l9f9eef5Z9CRfg7L6PGWZrazeqzx/venp2dvbP1NrjAvif/eTfAbFxcXBx8fH3DGIiIjoGZKZmQkHBwdzxygzLDoBGI1GJCQkSL9xZGVlwcfHB7Gxsc/UXwZLwO9N+cXvTfnE70v5xe9N+VVW35tnraeTt9cByGQyeHt7F2l3cHDgD4Jyit+b8ovfm/KJ35fyi9+b8ovfm5LFiUREREREVOpYdBIRERFRqWPReR9qtRrTpk2DWq02dxT6D35vyi9+b8onfl/KL35vyi9+b0oHJxIRERERUaljTycRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0EhEREVGpY9FJRERERKWORScRERERlToWnURERERU6lh0AhBFEVlZWRBF0dxRiIiIiCokFp0AsrOz4ejoiOzsbHNHISIiIqqQWHQSERERUalj0UlEREREpY5FJxERERGVOhadRERERFTqWHQSERERUalj0UlERERkIQRBwObNm5/qGkFBQRg/fnyJ5CkOFp1ERERET6FatWoQBKHIY8yYMSX+XomJiejSpUuxX3fw4EF4enqadU1ysxadhw8fRvfu3eHl5XXfyv1+30BBEPDll19K5wQFBRV5/rXXXivjT0JERETPqtOnTyMxMVF67NmzBwDw6quvlvh7eXh4QK1WF/t1W7duRY8ePSAIQolnelxmLTpzc3PRsGFDLF68+L7P3/sNTExMxMqVKyEIAl555RWT80aOHGly3rJly8oiPhEREREqVaoEDw8P6bFt2zbUrFkT7dq1e+Brpk+fjkaNGmHlypWoWrUq7Ozs8NZbb8FgMGDevHnw8PBA5cqVMXv2bJPX3dtJFxUVBUEQEBoaiuDgYNjY2KBhw4Y4ceJEkfe7W3Tez86dO+Ho6Ii1a9cCAIYNG4ZevXphzpw5cHd3h5OTE2bMmAG9Xo8PPvgALi4u8Pb2xsqVK4v1dVIU6+wS1qVLl4d2EXt4eJgcb9myBcHBwahRo4ZJu42NTZFziYiIiMqaVqvFzz//jPfff/+RvYoRERHYsWMHdu7ciYiICPTp0weRkZHw9/fHoUOHcPz4cQwfPhzt27dHy5YtH3idKVOm4KuvvoKfnx+mTJmC/v374+bNm1AoCsu88PBwJCUloX379kVe+9tvv2HUqFH46aef0LNnT6l9//798Pb2xuHDh3Hs2DGMGDECJ06cQNu2bXHy5EmsX78eo0ePRocOHeDj4/NYXxuLGdOZnJyM7du3Y8SIEUWe++WXX+Dm5oZ69eph4sSJj9zOUqPRICsry+RBREREFBMTg/Dw8Cd+/ebNm3Hnzh0MGzbskecajUasXLkSdevWRffu3REcHIxr167h66+/RkBAAF5//XUEBATg4MGDD73OxIkT0a1bN/j7+2PGjBmIjo7GzZs3pee3bNmCTp06wcrKyuR1S5YswejRo7FlyxaTghMAXFxc8O233yIgIADDhw9HQEAA8vLy8PHHH8PPzw+TJ0+GSqXCsWPHHvtrY9aezuJYs2YN7O3t8fLLL5u0Dxw4ENWrV4eHhwcuX76MyZMn48KFC9J4ivuZO3cuZsyYUdqRiYiIyILo9Xq0bt0avr6+OHr06BONf1yxYgW6dOkCLy+vR55brVo12NvbS8fu7u6Qy+WQyWQmbSkpKQ+9ToMGDaQ/e3p6AgBSUlJQu3ZtAIVF59tvv23ymj/++APJyck4evQomjdvXuSa9erVK5IjMDBQOpbL5XB1dX1ktntZTE/nypUrMXDgwCJV+siRI/HSSy8hMDAQr732GjZu3Ii9e/ciLCzsgdeaPHkyMjMzpUdsbGxpxyciIqJyKDMzU/qzQqHAuHHjoFKpnuguaHR0NPbu3Ys33njjsc5XKpUmx4Ig3LfNaDQ+9nXuFsp3X5OUlISwsDB069bN5DWNGjVCpUqVsGrVqvvOaC+pbPeyiKLzyJEjuHbt2mN9E5s0aQKlUokbN2488By1Wg0HBweTBxERET07RFHE5MmT4eXlhbNnz0rt77//Pg4cOABHR8diX3PVqlWoXLlykQLPnLZu3YpWrVrBzc3NpL1mzZo4cOAAtmzZgrFjx5ZJFosoOlesWIHnnnsODRs2fOS54eHh0Ol0UvcyERER0X8JgoDY2Fjk5eVh3bp1UrtcLn+i6xmNRqxatQpDhw6VJvCUB1u3bi0yXvMuf39/HDhwAH/88UeZLBZv1qIzJycH58+fx/nz5wEAkZGROH/+PGJiYqRzsrKy8Pvvv9+3lzMiIgKfffYZzpw5g6ioKPz111949dVX0bhxY7Rp06asPgYRERGVc5mZmZg5cybS0tKkthkzZmDbtm0m638/qb179yImJgbDhw9/6muVlNzcXOzbt++BSyUBQEBAAPbv349169ZhwoQJpZpHEM24NP3BgwcRHBxcpH3o0KFYvXo1AGD58uUYP348EhMTi3R1x8bGYtCgQbh8+TJycnLg4+ODbt26Ydq0aXBxcXnsHFlZWXB0dERmZiZvtRMREVVAL774Ig4cOIBJkyZh7ty55o5TJkJDQ/HJJ5/gypUr5o4CwMxFZ3nBopOIiKhiycvLg1qtlm6Xb926FZMmTcLs2bPRu3dvM6crG7t374ZGo0H37t3NHQUAi04ALDqJiIgqkh9++AFTp07FwoUL0b9/fwCFE4eMRuMTj9mkp2cRE4mIiIiIHldycjKSk5OxZs0aqU0QBBacZlZ+plcRERERFZNWq8Xq1avRunVrafHycePGwdPTE0OGDDFzOroXb6+Dt9eJiIgs1TvvvIPvvvsOvXr1wqZNm8wdhx6Ct9eJiIjIYhgMBhQUFEjHY8aMgZeXF4KCgu67sw6VHyw6iYiIyCLs2rULgYGBJkse1alTB1FRURg3btwT7ZVOZYdFJxEREVmE7Oxs/PPPP1i7di30er3U/t89wal8YtFJRERE5Y4oiti2bRv27t0rtb388stYvHgxzp8/X662mqTHw4lE4EQiIiKi8mbJkiUYM2YM6tati4sXL3K5owqAPZ1ERERkdqIoIj8/XzoeMGAAqlSpgpCQEGi1WjMmo5LCvmkiIiIyq4sXL+Ldd9+Fu7s71q9fDwBwcnLCrVu3oFKpzJyOSgqLTiIiIjK7Q4cOwcrKCsnJyXB3dwcAFpwVDG+vExERUZk6c+YMNmzYIB03aNAAy5cvx/Xr16WCkyoeTiQCJxIRERGVlYMHDyI4OBhOTk6IjIyEk5OTuSNRGeHtdSIiIipVGo0GarUaAPDCCy+gfv36aNiwocnOQlTxsegkIiKiUpGQkIAPPvgA165dw6lTpyCTySCXy3H69GmpCKVnB8d0EhERUalQq9X4888/cfbsWfz9998m7fTsYdFJREREJSI6OhorVqyQjl1dXbF8+XKEhYWhdevWZkxG5QEnEoETiYiIiJ5WfHw8atSoAZ1Oh/DwcNSpU8fckaic4ZhOIiIieiJarVZaS7NKlSro2rUrsrOzYTQazZyMyiP2dII9nURERMWRm5uLadOmYcOGDQgPD4e9vT0AID8/H9bW1mZOR+UVx3QSERFRsdydIBQbGyttWwmABSc9FG+vExER0UPduXMHv/zyC95++20IggCFQoFFixbBYDCgc+fO5o5HFoJFJxERET2QTqdDYGAg4uPj4ePjgx49egAAOnbsaOZkZGl4e52IiIhM6HQ66c9KpRKDBw9GvXr1YGNjY8ZUZOlYdBIREREAQBRFLFiwANWqVcPNmzel9k8//RQXLlzASy+9ZMZ0BACCIGDz5s1PdY2goCCMHz++RPIUB4tOIiIiAlBY0Ozbtw8JCQlYsmSJ1G5tbQ25XG7GZOVffHw8Bg0aBFdXV9jY2KBRo0Y4e/Zsib9PYmIiunTpUuzXHTx4EJ6enjDnokVmLToPHz6M7t27w8vL676V+7BhwyAIgsmjZcuWJudoNBqMHTsWbm5usLW1RY8ePRAXF1eGn4KIiMgyabVa/Pjjj8jNzZXaZs+ejR9//BFffPGFGZNZloyMDLRp0wZKpRI7duzAlStXMH/+fDg5OZX4e3l4eDzRNqJbt25Fjx49IAhCiWd6XGYtOnNzc9GwYUMsXrz4ged07twZiYmJ0uOvv/4yeX78+PHYtGkTfvvtNxw9ehQ5OTkICQmBwWAo7fhEREQWrUuXLhg5cqRJr2ajRo0wYsQIKJVKMyazLF988QV8fHywatUqNG/eHNWqVUP79u1Rs2bNB75m+vTpaNSoEVauXImqVavCzs4Ob731FgwGA+bNmwcPDw9UrlwZs2fPNnndvZ10UVFREAQBoaGhCA4Oho2NDRo2bIgTJ04Ueb+7Ref97Ny5E46Ojli7di2Awk6/Xr16Yc6cOXB3d4eTkxNmzJgBvV6PDz74AC4uLvD29sbKlSuL9XUy6+z1Ll26PLKLWK1Ww8PD477PZWZmYsWKFfjpp5+kcSY///wzfHx8sHfvXnTq1KnEMxMREVkqg8EAmUwm9XYNHjwYV65cgZubm5mTWbatW7eiU6dOePXVV3Ho0CFUqVIFb7/9NkaOHPnQ10VERGDHjh3YuXMnIiIi0KdPH0RGRsLf3x+HDh3C8ePHMXz4cLRv377Ind57TZkyBV999RX8/PwwZcoU9O/fHzdv3oRCUVjmhYeHIykpCe3bty/y2t9++w2jRo3CTz/9hJ49e0rt+/fvh7e3Nw4fPoxjx45hxIgROHHiBNq2bYuTJ09i/fr1GD16NDp06AAfH5/H+0KJ5QQAcdOmTSZtQ4cOFR0dHcVKlSqJfn5+4htvvCEmJydLz+/bt08EIKanp5u8rkGDBuKnn376wPcqKCgQMzMzpUdsbKwIQMzMzCzRz0RERFRebNy4UQwICBB37Nghtel0OjE3N9eMqcoPo9Eo7ty5U3z99ddFvV5frNeq1WpRrVaLkydPFsPCwsSlS5eKVlZW4po1ax74mmnTpok2NjZiVlaW1NapUyexWrVqosFgkNoCAgLEuXPnSsf31kuRkZEiAPHHH3+Ung8PDxcBiFevXpXaZs+eLb788svScbt27cRx48aJ3333nejo6Cju37/fJNvQoUNFX1/fIjleeOEF6Viv14u2trbiunXrHudLJIqiKJbrdTq7dOmCV199Fb6+voiMjMTUqVPx4osv4uzZs1Cr1UhKSoJKpYKzs7PJ69zd3ZGUlPTA686dOxczZswo7fhERETlxvHjx3Ht2jUsXLhQWtBdoVBIvWHPury8PLz22mu4c+cOevXq9cBb0fdjNBrRtGlTzJkzBwDQuHFjhIeH4/vvv8eQIUMe+Lpq1apJW4gChfWLXC6HTCYzaUtJSXno+zdo0ED6s6enJwAgJSUFtWvXBgBs2bIFb7/9tslr/vjjDyQnJ+Po0aNo3rx5kWvWq1evSI7AwEDpWC6Xw9XV9ZHZ7lWuZ6/369cP3bp1Q2BgILp3744dO3bg+vXr2L59+0NfJ4riQwfKTp48GZmZmdIjNja2pKMTERGZjSiK2Lp1K6Kjo6W2jz76CDNnzsTvv/9uxmTlR1xcHFasWCEd29ra4v3338e4ceNMirjH4enpibp165q01alTBzExMQ993X/HzQqCcN82o9H42Ne5W//cfU1SUhLCwsLQrVs3k9c0atQIlSpVwqpVq+47o72kst3Lon698fT0hK+vL27cuAGgcAaXVqtFRkaGSW9nSkoKWrdu/cDrqNXqJ5r5RUREZAnGjRuHRYsWYfjw4VJhVblyZXzyySdmTlY+3L59GzVr1oRWq0Xr1q1Rp04dAMDUqVOf6Hpt2rTBtWvXTNquX78OX1/fp876tLZu3YpWrVoVGbdbs2ZNzJ8/H0FBQZDL5Q+d1F1SynVP53+lpaUhNjZW6jp+7rnnoFQqsWfPHumcxMREXL58+aFFJxERUUUiiqJJj9OAAQNga2sLLy8vs67LWF7odDqcO3dOOnZzc0OXLl0QFBSEgoKCp77+e++9h7///htz5szBzZs38euvv2L58uUYM2bMU1/7aW3dutVkgtC9/P39ceDAAfzxxx9lsli8WXs6c3JyTHY8iIyMxPnz5+Hi4gIXFxdMnz4dr7zyCjw9PREVFYWPP/4Ybm5u6N27NwDA0dERI0aMwIQJE+Dq6goXFxdMnDgR9evX564JRET0TDhx4gQmTZqE3r17S4VDy5YtER8fD0dHR/OGKweio6PRpk0bZGVlIS4uDg4ODgAKZ21bWVmVyHs0a9YMmzZtwuTJk/HZZ5+hevXq+PrrrzFw4MASuf6Tys3Nxb59+7Bw4cIHnhMQEID9+/dLPZ7z588vtTyCaMZfgQ4ePIjg4OAi7UOHDsX333+PXr164dy5c7hz5w48PT0RHByMmTNnmkzNLygowAcffIBff/0V+fn5aN++PZYsWfL40/cBZGVlwdHREZmZmdJfRiIiIkvwww8/YNSoUahatSpu3brFnYNQWGzZ2toCKOwFrlevHtLS0rBly5aHLj1U0YSGhuKTTz7BlStXzB0FgJmLzvKCRScREVmKU6dOQS6X47nnngNQeOt42rRpePvtt+Ht7W3mdOYVFRWF0aNHIzo6GuHh4dLs67vjK5+1+Ry7d++GRqNB9+7dzR0FAItOACw6iYjIMixbtgyjR49G69atcfToUbNuaVgeZWdnw9vbG9nZ2Th16hSaNm1q7kh0D4uaSERERPSsuXeCUI8ePWBra4tatWohPz/fjKnMLzk5GZMmTcLQoUOlNnt7e6xduxY3b95kwVkOsacT7OkkIqLy5+bNm/jkk0/g4uJisjd6eno6XFxczJisfLh+/ToCAgKkP/v5+Zk5ET0Ki06w6CQiovLn8OHDaNeuHVQqFeLi4lCpUiVzRzIbnU6HjRs3IiMjw2RnnalTp6JZs2bo1q0bJ1BZABadYNFJRETmFxUVhcjISJNVXWbMmIFevXqhYcOGZkxmfjt37kSXLl3g6OiI2NhYk60jyXKw6ASLTiIiMq+DBw+iQ4cOqFy5Mm7evAlra2tzRzKrK1euIC0tDS+88AKAwnGtL774Il588UWMHz+e/1ZbKIvaBpOIiKiiEEVRmn3eqlUreHp6onbt2khLS3umlz76/fff0bdvX9StWxeXL1+GIAiQyWQ4ePCguaPRU+LsdSIiojKUlpaG999/H926dZPa1Go1wsLCsHv37meu4MzJyUFcXJx03LFjRzg6OiIgIACZmZlmTEYljbfXwdvrRERUdmJjY1GrVi1otVr8/fffaNGihbkjmU1oaChGjBiBoKAgbNq0SWrPzMzkFp4VEHs6iYiISlFGRga2b98uHfv4+GDevHnYuXMnmjdvbsZkZU8UReh0Oum4du3auHPnDq5cuWKy7igLzoqJPZ1gTycREZWOmJgYNGjQAPn5+bh58yZ8fHzMHcls9u3bh8mTJ+PFF1/E559/LrUfP34cLVq04JJHzwD2dBIREZWge/tyfHx80LBhQwQEBCAlJcWMqcwvJycHp0+fxtq1a6HX66X21q1bs+B8RrDoJCIiKgEFBQX46quv0Lx5c2g0GgCAIAjYuHEjzp8/j+eee87MCcvOlStXMGrUKPzyyy9SW0hICBYsWIALFy5AoeDiOc8i3l4Hb68TEdHTy8/PR61atZCQkICVK1fi9ddfN3cks/nyyy/x4Ycfon79+rhw4YK0NBQ92/irBhER0RPQaDTYsWMHevXqBQCwtrbGV199BY1Gg0GDBpk3XBnKycnB2rVr0bx5czRt2hQA8MYbbyAsLAxjxowxczoqT9jTCfZ0EhFR8Wg0GgQGBuLmzZs4fPiwtHPOs2jMmDFYsmQJXn31VWzYsMHccagce6oxnXfHrBAREVV09/bRqNVqvPjii/D09ER6eroZU5UtURRx7NgxJCUlSW2jR4+Gn5+fyZ7xRPdTrKJz165dGDZsGGrWrAmlUgkbGxvY29ujXbt2mD17NhISEkorJxERkVmIoohff/0VTZo0QWJiotQ+d+5cREREoGfPnmZMV7beeustPP/881i8eLHUVr9+fVy7dg1vvfWWGZORJXisonPz5s0ICAjA0KFDIZPJ8MEHHyA0NBS7du3CihUr0K5dO+zduxc1atTA6NGjkZqaWtq5iYiIyszixYtx/vx5fP3111Kbi4sLrK2tzReqDKSmpkKr1UrHHTp0gFqtNmkDwIlC9Fgea0xn8+bNMXXqVHTr1g0y2YPr1Pj4eHzzzTdwd3fHhAkTSjRoaeKYTiIiuksURfz111/o2LEjlEolAODgwYM4fvw4xo4dC3t7ezMnLBuffPIJ5s+fj+XLl2Pw4MEAAIPBgPT0dFSqVMnM6cgScSIRWHQSEdG/unXrhr/++gs//vgjRowYYe44ZcZoNJp0LM2dOxcff/wxhg4ditWrV5svGFUYT704vMFgwPnz55GRkVESeYiIiMzqpZdegq2tLXJycswdpcwsX74cAQEB+Pvvv6W2UaNG4ejRo1i1apUZk1FFUuyic/z48VixYgWAwoKzXbt2aNKkCXx8fHDw4MGSzkdERFRqDh06hLZt2+LkyZNS2+jRoxEZGYlx48aZMVnZOn78OG7evIlly5ZJba6urmjTpg3Ha1KJKXbRuXHjRjRs2BAA8OeffyIyMhL//PMPxo8fjylTppR4QCIiotKyZs0aHDlyBLNmzZLarK2tK/SYxaNHj6Jfv34myx5NmDABixcvxqJFi8yYjCq6Yhedt2/fhoeHBwDgr7/+wquvvgp/f3+MGDECly5dKvGAREREJeXkyZMmK6xMnToVY8aMwdKlS82Yqmx9+OGH2LBhg8lnrl+/PsaMGQM7OzszJqPHIQgCNm/e/FTXCAoKwvjx40skT3EUu+h0d3fHlStXYDAYsHPnTrz00ksAgLy8PMjl8hIPSEREVBI++ugjtGzZEvPmzZPaqlevjsWLF6NKlSpmTFZ6UlNT8eWXX0Kn00ltH3zwAUaOHIm+ffuaMVnFMn36dAiCYPK420FX0hITE9GlS5div+7gwYPw9PSEOeePF7vofP3119G3b18EBgZCEAR06NABQOFvj7Vr1y7WtQ4fPozu3bvDy8urSOWu0+nw0UcfoX79+rC1tYWXlxeGDBlSZAH6oKCgIt/o1157rbgfi4iIKrigoCDI5XLk5eWZO0qZMBqNaN68OT788ENs3LhRau/duzeWL1+OunXrmjFdxVOvXj0kJiZKj9K6++vh4QG1Wl3s123duhU9evQw6xjdYhed06dPx48//ohRo0bh2LFj0geXy+WYNGlSsa6Vm5uLhg0bmuxscFdeXh7CwsIwdepUhIWFITQ0FNevX0ePHj2KnDty5EiTb/S9A6GJiOjZc/XqVfTr1w8//fST1Na5c2fcvHkT3333nRmTlZ6MHA1WbdyOa0nZ0BsKlz8aPnw4mjVrBldXV3PHq/AUCgU8PDykx6PGBU+fPh2NGjXCypUrUbVqVdjZ2eGtt96CwWDAvHnz4OHhgcqVK2P27Nkmr7u3ky4qKgqCICA0NBTBwcGwsbFBw4YNceLEiSLvd7fovJ+dO3fC0dERa9euBQAMGzYMvXr1wpw5c+Du7g4nJyfMmDEDer0eH3zwAVxcXODt7Y2VK1cW74sklhMAxE2bNj30nFOnTokAxOjoaKmtXbt24rhx457qvTMzM0UAYmZm5lNdh4iIyocvvvhCBCDWqlVLNBgM5o5TqoxGoxh6Okp0rlJDBCB2/mSVOCX0ongjOVvU6XSi0Wg0d8QKb9q0aaKNjY3o6ekpVqtWTezXr58YERHxyNfY2dmJffr0EcPDw8WtW7eKKpVK7NSpkzh27Fjxn3/+EVeuXCkCEE+cOCG97t56KTIyUgQg1q5dW9y2bZt47do1sU+fPqKvr6+o0+mk11y+fFm0tbUV8/PzRVE0rZ3WrVsn2tvbi5s3b5bOHzp0qGhvby+OGTNG/Oeff8QVK1aIAMROnTqJs2fPFq9fvy7OnDlTVCqVYkxMzGN/nRTFK1EL7du3D/v27UNKSgqMRqPJc8WueoshMzMTgiDAycnJpP2XX37Bzz//DHd3d3Tp0gXTpk176I4RGo0GGo1GOs7KyiqtyEREVAZu3boFg8EAPz8/AMCYMWNw9epVvP/++w/dSc+SZWRkwNnZGccj0vD7uUQ4+/gj704qkJWEf5KyseTgTczoUQ/2Ci55VFz79u1D+/btH/v8Fi1aYO3atfD390dycjJmzZqF1q1bIzw8/KG9zEajEStXroS9vT3q1q2L4OBgXLt2DX/99RdkMhkCAgLwxRdf4ODBg2jZsuUDrzNx4kR069YNADBjxgzUq1cPN2/elIY9btmyBZ06dYKVlZXJ65YsWYKPP/4YW7ZsQXBwsMlzLi4u+Pbbb6Uc8+bNQ15eHj7++GMAwOTJk/H555/j2LFjjz2ssdhF54wZM/DZZ5+hadOm8PT0LLOxAQUFBZg0aRIGDBhgsmvQwIEDUb16dXh4eODy5cuYPHkyLly4gD179jzwWnPnzsWMGTPKIjYREZWyVatWYdSoUejcuTP+/PNPAICtrW2FXdQ8NzcXQ4YMwc6dOxEVFYX9/6TCIIro+saHUFnbQGVlA73BiKjbuQiLuYN2/hV3+aeSYDQacfnyZTRo0EBqu3jxYrGKznsn9tSvXx+tWrVCzZo1sWbNGrz//vsPfF21atVMOsnc3d0hl8tNflFyd3dHSkrKQ9//3uyenp4AgJSUFJOi8+233zZ5zR9//IHk5GQcPXoUzZs3L3LNevXqFckRGBgoHcvlcri6uj4y272KXXQuXboUq1evlvZhLQs6nQ6vvfYajEYjlixZYvLcyJEjpT8HBgbCz88PTZs2RVhYGJo0aXLf602ePNnkL0FWVhZ8fHxKJzwREZWqNm3aQBRF6PV6FBQUFOnNqQhEUZQ6eWxsbBAbG4u8vDzs3LkTyfJ6sFUpYOfgJp2vkMsAAcjI1ZorskXIzMxEgwYNEB8fj/j4eLi7uwMo3ApVp9NBqVQ+0XVtbW1Rv3593Lhx46Hn/ff6giDct+2/d5Ufdp27f0/uviYpKQlhYWFST+hdjRo1QlhYGFatWoVmzZoV6UQsqWz3KvY9B61Wi9atWxf3ZU9Mp9Ohb9++iIyMxJ49ex65N3qTJk2gVCof+o1Wq9VwcHAweRARUfmXnJyM8ePH47PPPpPa/P398c8//2DHjh0VruDMycnBZ599hpYtW0Kv1wMo/Id+0aJFCA8Px+DBg1HVxQbZBTqT12n1RggQUNmh+LOcK7LU1FQcPnxYOnZ0dISnpyfs7Oxw8eJFqd3f3/+JC06gcBjf1atXpV5Hc9q6dStatWoFNzc3k/aaNWviwIED2LJlC8aOHVsmWYpddL7xxhv49ddfSyNLEXcLzhs3bmDv3r2PNfsuPDwcOp2uXHyjiYioZP3999/45ptvMG/ePKSnp0vttWrVMmOq0qNQKLB48WKcOnUKW7ZskdpbtGghLXn0Ul132KgUiLqdi1yNHhl5WkTezkEtdzs09nE2V/Ry5/Tp0/D09ESfPn1M1i399ddfkZSUJC0B+SQmTpyIQ4cOITIyEidPnkSfPn2QlZWFoUOHlkT0p7J161b07Nnzvs/5+/vjwIED+OOPP8pksfhi314vKCjA8uXLsXfvXjRo0KDIbwILFix47Gvl5OTg5s2b0nFkZCTOnz8PFxcXeHl5oU+fPggLC8O2bdtgMBikLbtcXFygUqkQERGBX375BV27doWbmxuuXLmCCRMmoHHjxmjTpk1xPxoREZUz6enpiI2NlbZf7tGjB9544w307dsXzs4Vq6AyGAzYvn07jhw5gi+//BIAYGVlhS+++ALW1tYPXO6mSVVnjHyhBracj0dSVgGUchmer+WGAS18Ya16NjdtMRqNOHr0KAwGgzRBpnHjxnB1dUXVqlWRmJiIqlWrAgBq1Kjx1O8XFxeH/v374/bt26hUqRJatmyJv//+G76+vk997aeRm5uLffv2YeHChQ88JyAgAPv375fWsZ0/f36p5RH+P/3+sf13dpPJxQQB+/fvf+xrHTx48L7XGzp0KKZPn47q1avf93UHDhxAUFAQYmNjMWjQIFy+fBk5OTnw8fFBt27dMG3aNLi4uDx2jqysLDg6OiIzM5O32omIyom7G4h4enri8uXLUCieaMEVixEXF4dq1arBYDDg/PnzUqH9uLR6I5IyC2CllKGSvdqsi4Cb27JlyzB69Gi0aNECf//9t9Selpb2TK1ZGhoaik8++QRXrlwxdxQAT1B0VkQsOomIyp+srCxUr14d3t7e2LZtW4Wb8Hnr1i2cPXsWr776qtT21ltvwdHREePGjXviYWKLFi1CUlJSkUXFK6rbt2/jt99+Q7NmzdCiRQsAhWN/69ati969e+P7779/qvGZlmz37t3QaDTo3r27uaMAYNEJgEUnEZG55ebm4rvvvsPNmzexfPlyqf369euoVatWhVtrMzw8HPXr14eVlRViY2NLtPfNx8cHcXFxWLFiBYYPH15i1y2vxowZgyVLlmDw4MHSjjoAnmr2OZWOx7pX8fLLL2P16tVwcHDAyy+//NBzQ0NDSyQYERE9O6KjozFp0iSIoogxY8ZIt5b9/f3NnKxkaDQa3Lp1C3Xq1AEA1K1bF40bN0alSpWQkZFRYkWnKIrIzMwEULikoJOT0yP/3bYkx48fx5o1azBp0iRpCN6gQYNw8uRJPP/88ybnsuAsfx6r6HR0dJTGhjg6OpZqICIiqvg0Gg0uXLggLUpdt25dfPjhh6hTpw7q1atn5nQlKywsDF26dIGNjQ1u3rwJuVwOQRBw5MgR2NjYlOh7JSQkIDs7G2q1Gv7+/ujfvz+2bdv2VDOzy5NPP/0U+/btg7e3N6ZOnQoAaNWqFc6cOWPmZPQ4eHsdvL1ORFSWoqKi0LZtW2RmZiIyMrJYEz8tRX5+PqytraU/+/j4wNraGvv375e26iwNO3fuRJcuXdCxY0dkZWXBxcUFBw8exN69e9GqVatSe9+SptVq8eOPPyI0NBR//vmn9LXcsGEDduzYgTfffPOh20JS+VSxBskQEVG5V7VqVTg7O8Pe3v6RO7ZYmkuXLiE4ONhkXURra2scOHAAt27dKtWC8+7729nZoU+fPjh58iS+//57PPfccxYxtvPePjCFQoF58+Zh37592Lp1q9Tet29frFq1igWnhSr2+hNpaWn49NNPceDAAaSkpBTZ/ujexXqJiOjZZjAYsG7dOmzcuBGhoaGQyWSQyWQIDQ1FlSpVKtwOQg4ODjh8+DBkMhni4+NRpUoVAIX7cZeFixcvIjAwECEhIRBFEYcPH8bOnTsRGxtbJu//JBITEzFjxgxcuXIFhw4dgiAIkMlkmDx5MnJzcxEUFGTuiFRCin17vUuXLoiIiMCIESPg7u5eZB2w8rD6fnHx9joRUem4c+cOqlWrhszMTPz222/o16+fuSOVmJiYGCxYsADW1taYO3eu1P7zzz8jKCgI3t7eZZ5p1qxZcHBwwLvvvotmzZqhZs2a+O2338o8x6NotVqoVCoAhX9HPDw8oNFoEBYWhsaNG5s5HZWWYhed9vb2OHr0aLEXrS3PWHQSEZUMURRx6tQpab1EAPjmm2+Ql5eHsWPHws7OrsyyFOgMyNMaoJQLsLcq+ZnM+/btw0svvQRbW1vExcXBycmpxN/jacyYMQMLFy5EampquZnJ/ffff2PChAlwd3c3We3mu+++Q0BAAIKDgyGXP5u7KD0Lil10NmvWDIsWLapQ4ylYdBIRPb2CggI8//zzCAsLw4ULF8rslvJ/GYwibiZnIzItF/k6A1RyGbycrFHH0wFWyicraAoKCvDbb7/BxsYGffv2BQBpeaeePXuiQ4cO5W4t0bNnz6Jp06bSLn7moNVqkZ+fL618c+nSJTRo0ABWVlZITU0t019CyPyK/X/IkiVLMGXKFBw6dAhpaWnIysoyeRAR0bPJysoKNWrUgK2trVm33YtOy8WlhEwIACrbq2GtlONGcjbCE7LwpAu2rF27Fq+//jo+/vhjaS6DIAhYsmQJOnXqhGyNAdFpuYhOy0VWga4EP82Ta9y4MTw9PbFt2zazvP8PP/wAT09PzJkzR2qrX78+VqxYgYiICBacz6BiF51OTk7IzMzEiy++iMqVK8PZ2RnOzs5wcnKCs7NzaWQkIqJyaP/+/ejatau0GDkALFiwAJGRkWYbu6k3GBF1Oxc2SjmcbFRQyGSwVStQyV6N+Ix8ZOXrH+s6586dw4ULF6TjgQMHokGDBhg1ahR0un+LSlEUcSM5G0dupOLkrXScvJWOw9dTcTMlu8Q/W3HJZDJ069atzIrOW7duIScnRzp2dXVFeno6Dhw4YHLe8OHD4eXlVSaZqHwpdtE5cOBAqFQq/Prrr9i3bx/279+P/fv348CBA9i/f39pZCQionLGaDRi7Nix2LFjB77++mup3dvbG25ubmbLpTOIyNcZYK0yvY1uo1JAqzdAozc88hrffPMNmjRpgsmTJ0tttra2OH/+PD788EOo1Wqp/XaOFuEJWVDIBFR1tUFVVxsoZALCE7JwO0dTch/sCXXr1g3Xrl0r9aWpRowYgZo1a2L9+vUm771r1y6cOHGiVN+bLEexl0y6fPkyzp07h4CAgNLIQ0RE5dTdmcV3l7SZNWsW9u/fj5EjR5o7mkSlkMFGpUCuRg8b1b//xOVq9FAr5VDfZ0xnZmYmdDqdVCyHhITgww8/hLOzM/R6PRSKwuv8d7UWAEjJKoDOYISH479LPznZqBCbnoeUrAK42amLvKYsvfTSS1CpVNi+fTvGjx9fItfUarXYt28fOnXqJI1j9fPzgyAIuHbtmnSeWq1Gx44dS+Q9qWIodk9n06ZNy/V6X0REVPL69++P5557Dps2bZLaevfujUWLFpWrW6VymYAalWyRnqfFpbg7uJ6UjYjUHCRlFcDH2RqO1qazuH/44Qd4e3tj1qxZUlvNmjWRmJiIX375RSo4H0RnMEImK1qMygQBOoPxPq8oW3Z2dggODsb27dtL5HpGoxF16tRB165dcezYMal91KhRiI2Nxbx580rkfahiKnbROXbsWIwbNw6rV6/G2bNncfHiRZMHERFVPH5+fpDL5WadIPS4jEYROr0RsRn5uJqYhauJ2RBEoEYlO4iiCL3+33GdVatWRU5ODk6ePGkyyehxt+Z0tlXBYBChv2ejFL3BCINohIuteXs57woJCcGhQ4eeaLJvVFQUfv75Z+lYJpOhXbt28PDwQFJSktTu4uIiLYRP9CDFXjLpfktCCIIAURQhCAIMhkePlylvuGQSEdG/wsPDMWPGDMyYMQN16tQBULiA9+3bt1GrVi0zp3u4HI0eh66lQhRFONooodUbIYpAao4GGeFHsezrLzB69Gi89dZbAAonAh06dAjt2rW77+3zR9HoDTgTlY64jHzYqgt7RXMK9KjqYoOm1VygUph/GaXIyEjUqFEDGzduxCuvvPLYr0tISIC3tzcEQUBMTIxUVGZkZMDe3v6RvcBE/1XsvzGRkZGlkYOIiMqJTz75BJs3b4ZcLse6desAFK5cUt4WP7+f9BwtcjQ6+DjbQBAEKFSFRV++zoDjNyNx8eJF/Pjjj1LRKQjCU61hqVbI8ZyvCyrZ5SL+TgEAIMDdHj4uNuWi4ASA6tWro169eti2bdsDi06dToedO3ciNTVV2qfdy8sLL7zwApRKJdLT06WikyvV0JMqdtHp6+tbGjmIiMhMIiIiULlyZdjb2wMApk+fDrlcjilTppg5WfGJKLx5d/3KJaxftRQhfQagScvnIQDo0Ksfqjqp8MYbb5Toe1op5fD3cIC/R/m9UxYSEoKVK1fCaDTe947lwYMH0aNHD7i4uGDQoEHSFpV79uyR/kz0tB7r17DiLHeQm5uL8PDwJw5ERERl57PPPkNAQAAWLVoktTVs2BAbN25EYGCgGZM9GScbFaxVcoSu+wk7N2/Abyu/h8EoIkejg1+Vyvjggw+eyZ66kJAQpKam4vTp04iNjcWcOXOkXmwAePHFF9G4cWMMGTIEeXl5UjsLTipJj1V0DhkyBB06dMCGDRtMFn6915UrV/Dxxx+jVq1aCAsLK9GQRERUOmrVqgWDwWDRnQV37tzBggULEB0dDUdrJWq726Nj32F4vlMvdB/6DuIy8uDlZANfNxtzRzWbli1bwtnZGdu2bcOWLVswZcoUzJ8/X3peLpfj7NmzWLhwoUUMoyDL9FgTiXQ6HZYtW4bFixcjIiIC/v7+8PLygpWVFTIyMvDPP/8gNzcXL7/8MiZPnmxxvx1zIhERPQsSExPx+eefo1OnTujatSsAwGAwICwsDM2aNTNzuifXo0cP/Pnnn5g4cSK+/PJLiKKIlGwNkjLzodWLcLVTwcvJ+on3Xbdk+/fvxw8//IDhw4dj9erVuHLlCvbs2YPXXnsNAwcOxLBhw55oAhXRkyj27PWwsDAcOXIEUVFRyM/Ph5ubGxo3bozg4ODHXmKivGHRSUTPgo8//hhz585Fo0aNEBYWZpHFhiiKOHDgAFq2bAkbm8Key+3bt+Ojjz7C5MmTMXDgQDMnLF/effddLFq0CP3790f37t0xYMAAxMXFcXkjMotiF50VEYtOIqqI0tLSoNVq4enpKR33798fH374Idq3b2+RRWfPnj2xdetWLF++XNoJ6e4/Y5b4eUrSV199hdWrV2PTpk3w8/MDULiH/OrVqzF06FBUq1YNlStXxpIlSzBq1Cgzp6VnUflYz4GIiErUunXrUL16dXz00UdSm6urK3bv3o2XXnrJYgq05ORkk0Xbg4KCYGtri4yMDKlNEASL+TwlSafTmRzv3bsX4eHhJou5N27cWNpL3sXFBW3atMG2bdvKOioRABadREQVkp+fH7Kzs3HlyhVotVpzx3kib775Jnx8fHD48GGpbdSoUYiLi8OHH35oxmTmlZWVhQEDBsDb2xu5ublS+8SJE/Hjjz/i/ffff+BrQ0JCsHfvXuTn55dFVCITLDqJiCxcTk4OPv/8cyxdulRqa9q0KY4cOYJTp05ZzLI3/x3tJQgCdDoddu/eLbXZ2to+c7OrRVFEWlqadGxvb4+TJ08iJSUFO3fulNpfeukljBgxAo6Ojg+8VkhICPLz83HgwIFSzUx0PxzTCY7pJCLLtnbtWgwdOhRubm64deuWtMi7pRBFEQsWLMD333+PAwcOwMfHB0DhDnhpaWlo2rSpmROaz+XLl9G/f3/odDpcvXpVGkawY8cOuLm5oWnTpsUaWiCKImrWrInOnTtjyZIlpRWb6L6eqqezoKDgqd788OHD6N69O7y8vCAIAjZv3mzyvCiKmD59Ory8vGBtbY2goKAia8lpNBqMHTsWbm5usLW1RY8ePRAXF/dUuYiIyrOCggJERUVJxwMGDEDnzp2xYMECWFtbmy/YExIEAdu3b0dERAR++OEHqb169erPXMGZk5Nj8r319fVFREQEoqKicOvWLam9S5cuaNasWbHHsgqCgJCQEGzbtq1IzzJRaSt20Wk0GjFz5kxUqVIFdnZ20v8EU6dOxYoVK4p1rdzcXDRs2BCLFy++7/Pz5s3DggULsHjxYpw+fRoeHh7o0KEDsrOzpXPGjx+PTZs24bfffsPRo0eRk5ODkJAQGAyG4n40IqJy7/jx4/Dz80O/fv2kokGhUGDHjh0YPHgwFIpi725cpkRRxN69ezFgwACTjotPP/0UP/74IyZPnmzGdOa1YcMGuLu7Y+zYsVKbvb09tm3bhqSkJNSsWbNE3ickJASxsbG4dOlSiVyP6LGJxTRjxgyxRo0a4s8//yxaW1uLERERoiiK4vr168WWLVsW93ISAOKmTZukY6PRKHp4eIiff/651FZQUCA6OjqKS5cuFUVRFO/cuSMqlUrxt99+k86Jj48XZTKZuHPnzsd+78zMTBGAmJmZ+cT5iYjKQlJSkmhjYyN6e3uLsbGx5o5TbDqdTvTx8REBiCtXrjR3HLO6cOGCGBUVJR1fvXpVBCDWrVtX1Gq1pfa+BQUFoq2trThnzpxSew+i+yl2T+fatWuxfPlyDBw4EHL5v7s7NGjQAP/880+JFcORkZFISkpCx44dpTa1Wo127drh+PHjAICzZ89Cp9OZnOPl5YXAwEDpnPvRaDTIysoyeRARlTd6vR5r167F9OnTpTZ3d3fs2bMHN27cgLe3t/nCPaaEhAQsXrzYpFf2o48+wjvvvIO2bduaOZ35TJw4EQ0bNsS3334rtdWuXRvnz5/H5cuXoVQqS+291Wo1OnbsyKWTqMwVu+iMj49HrVq1irQbjcYia4Y9jaSkJACFP2Dv5e7uLj2XlJQElUoFZ2fnB55zP3PnzoWjo6P0uDtonYioPDl37hyGDh2KWbNmISIiQmpv3bo1rKyszJjs8eTl5aF27doYO3YsTpw4IbWPGTMGixYtKrHbxeVdbm4ufv75Z5O1Rdu2bQuVSlVk6aKGDRuWyZqjISEhOHHiBG7fvl3q70V0V7GLznr16uHIkSNF2n///Xc0bty4RELd67//84mi+Mj/IR91zuTJk5GZmSk9YmNjSyQrEdHTMBqNJpNFmjVrhkGDBmH27Nnw8PAwY7LHo9frcfLkSenYxsYGffv2xQsvvPBMLt5+V4cOHTB48GBs2LBBauvSpQuSkpLMNoO8a9euEEURO3bsMMv707Op2CPOp02bhsGDByM+Ph5GoxGhoaG4du0a1q5dW6Jd9Xd/wCYlJUlbuAFASkqK1Pvp4eEBrVaLjIwMk97OlJQUtG7d+oHXVqvVUKvVJZaViOhpRUdHo2fPnkhKSsKtW7ekfcV/+uknMyd7PGlpaWjSpAkSEhIQHR0NLy8vAMCSJUssZp3QknDp0iWEhoZi6tSpkMkK+3VefvllpKSkmPROK5XKInfpypKHhweaNm2Kbdu2YfDgwWbLQc+WYvd0du/eHevXr8dff/0FQRDw6aef4urVq/jzzz/RoUOHEgtWvXp1eHh4YM+ePVKbVqvFoUOHpILyueeeg1KpNDknMTERly9ffmjRSURU3nh5eSErKwt5eXk4d+6cueM8lnvHw7u6usLX1xfOzs64evWq1P4sFZxarRZt27bF9OnTcfDgQan93XffxY0bNzB06FDzhbuPkJAQ7Ny5s0SHxhE9zBOtrdGpUyd06tTpqd88JycHN2/elI4jIyNx/vx5uLi4oGrVqhg/fjzmzJkDPz8/+Pn5Yc6cObCxscGAAQMAAI6OjhgxYgQmTJgAV1dXuLi4YOLEiahfvz5eeumlp85HRFQaRFHEvn37sHnzZixatAiCIECpVGLDhg2oUaMGXFxczB3xoZKSkjBixAicO3cOkZGR0p2jtWvXwsPDwyLGmz6t/Px8bNq0CZcuXcLcuXMBFBbYgwYNQnx8vMlGI+W18A4JCcH06dNx9OhRBAcHmzsOPQueZup7dna2mJmZafIojgMHDogAijyGDh0qimLhsknTpk0TPTw8RLVaLbZt21a8dOmSyTXy8/PFd955R3RxcRGtra3FkJAQMSYmplg5uGQSEZWllJQU0crKSgQg7tq1y9xxik2r1YpeXl6iIAji3r17zR3HLKKjo6V/s6Kjo6V2o9FoxlTFYzAYRE9PT/H99983dxR6RhR7G8zIyEi88847OHjwoMnCvuL/J+9Y4qLs3AaTiEpbVFQUqlWrJh1//PHHyM3NxeTJk8v1JKG0tDQsWLAAFy9exJ9//im179mzB9WrV7/vaiYVTVRUFJYuXQqVSoXPPvtMah82bBh8fX0xZswYVK5c2YwJn9zIkSNx5MiREl3ykOhBil103h0rOW7cOLi7uxeZkdiuXbuSS1dGWHQSUWnJy8vDK6+8gn379uH69esmhaclSEpKgq+vL7RaLU6dOoVmzZqZO1KZ279/P9q3bw8nJyckJiZWqOEDW7ZsQa9evXD9+nX4+fmZOw5VcMUe03nx4kWcPXsWAQEBpZGHiKhCsbGxgU6ng9FoxOHDh8t10anX6xEaGopbt25h0qRJAApnOc+aNQu1atVCkyZNzJyw9O3btw8LFixAhw4dMH78eABAUFAQXn/9dXTr1s1kU5SKoH379lCr1di+fbv0eYlKS7F7OoODgzFlypQKNVGHPZ1EVFIuX76Mb775BosWLZJ6xK5evQqVSlXuF0M/ffo0mjdvDpVKhZiYmCKbc1RERqMRoihKxeTSpUvx1ltvoUGDBrhw4YKZ05WNzp07Q6/XY+/eveaOQhVcsXs6f/zxR4wePRrx8fEIDAwsslVXgwYNSiwcEZElMRgMCAkJQXR0NOrXr493330XAFCnTh0zJ7u/f/75B9HR0dJqJM2aNUPPnj3RsGHDUt2GsbyYP38+vv32WyxatAg9evQAAPTt2xfx8fHP1NqVISEheO+995CVlcWOFypVxS46U1NTERERgddff11qEwTBoicSERE9qbi4OGkPdLlcjilTpmD37t3l/m7Qnj170LFjR3h5eSEqKkoqMjdv3lwi188q0OFibCZu3c6BtVKOOp4OqOvpAJnMfDsTpaenmyxHFR8fj5iYGGzYsEEqOl1cXDBz5kxzRTSLbt26YezYsdi9ezf69Olj7jhUgRX79nrdunVRp04dfPjhh/edSOTr61uiAcsCb68TUXGJoogxY8Zg+fLl2LNnT7lf5zAvLw/JycmoXr06AECj0aBGjRpo1qwZli1bVqK30u/kafHrqRjcSM6GlVIOvUGETCagnX8ldAn0KPMtMY1GI1555RVs27YNly5dQu3atQEA169fx4ULF9C9e/cKNTnoSQQGBqJp06ZYvXq1uaNQBVbsns7o6Ghs3br1mVgmg4joQQRBgEwmg8FgKPdF5+7du9G/f3/Uq1cPhw8fBlC4HfC1a9dgZ2dX4u93OjIdN5Jy4OduB4W8cOO79FwtTkSkoX4VR/i42JT4e97LaDTixo0b0oRXmUwGvV4PvV6PPXv2SEWnv78//P39SzWLpQgJCcHKlSthMBgq3GQpKj+KvQ3miy+++MwMriYiuishIQHjxo1DXFyc1DZlyhScOHECc+bMMWOy+9NoNNKfAwMDkZWVhfj4eKSnp0vtpVFwAkB4YhYcbBRSwQkALrYq5Gr0iEnPK5X3vCsxMRE1atRA48aNkZ2dLbXPnj0bV69exdixY0v1/S1VSEgIUlNTcfr0aXNHoQqs2D2d3bt3x3vvvYdLly6hfv36RQab3x0XQ0RUkbz++uvYvXs3dDodlixZAgDw9PSEp6enmZOZOnbsGCZOnIh69erhxx9/BFC4r/uJEyfQuHHjMunFkgkCjEbTkVt3R3KV9I311NRUREZGonnz5gAgbcOpVCpx8eJFtGnTBgAnuT5Ky5Yt4eLigu3bt6Nly5bmjkMVVLHHdMpkD+4ctdSJRBzTSUT/dfv2bTg4OEj7Zh86dAhTpkzBzJkzy/Wt9OPHj6NNmzZwdHREQkICbGxK91b2/Ry8loIt5xNQw80GamVhkZuSVQC9EXizXQ14OlqXyPscOHAAHTt2hK+vL27cuCGNFb169SqqVasGa+uSeZ9nxcCBA3HlyhWcO3fO3FGogir27XWj0fjAhyUWnERE/7Vw4UJUr14dK1askNratWuHI0eOlKuC8/r163jrrbewaNEiqa1Vq1ZYsmQJrl27ZpaCEwCaVXNBfW9HRKfn41pSNq4mZkGjFxEcUOmJC05RFHHkyBGcPHlSamvevDmsrKzg5OSE1NRUqb1OnTosOJ9ASEgIzp8/bzKEhKgkFbvoJCKq6JRKJXJycrBjxw6T9rKedf0ox44dw9KlS/Hll19Cr9cDKMz41ltvmXVhd1u1AgOaV8XAFlURFFAZXQI9MeL56mgX8OT7k3/11Vdo27Ytpk+f/u/72Nrixo0bOHPmjMXufV6edOrUCXK5HNu3bzd3FKqgHuv2+rfffotRo0bBysoK33777UPPvbsYsiXh7XWiZ1dOTg4WLVqEoKAgtGrVCkDhJJxdu3ahe/fu5abQzM3NxU8//YSAgACpt7WgoACjRo3CiBEj0LZt23KT9WmlpaVh/fr1aNu2LQIDAwEAN27cwHPPPYd+/fph+fLlFeazljft2rWDg4MD/vzzT3NHoQrosYrO6tWr48yZM3B1dZXWeLvvxQQBt27dKtGAZYFFJ9Gza/z48fjmm28QHByM/fv3mzvOA02dOhWzZs0q9zlLwsCBA/Hrr7/i3XffxTfffCO1FxQUPPPraZa2L7/8EtOmTUNaWhqHKFCJe6zb65GRkQgPD4der0dkZOQDH5ZYcBLRs6WgoACZmZnS8fvvv4969ephxIgRKOa8ylL1999/IzIyUjoeNWoUAgIC0LNnz3KV82kdO3YMb731Fm7fvi21DRw4EI0bNy4y45wFZ+kLCQlBfn4+Dhw4YO4oVAE99ux1uVyOxMTECjluhj2dRM+GzZs3Y8yYMejTp49JD9rdbXzLi48++gjz5s3Dm2++iaVLl0rt5S1nSXjuuecQFhaGxYsXY8yYMQAq5ue0FKIoolatWujUqZO0NBhRSXnsiUQV6TdrIno22dnZISEhATt27IBOp5PazV3gpKWlIScnRzru2rUrVCoVFArTpZTNnfNpFBQU4Pvvv0fPnj1NVjoZPXo0hg4dimbNmkltlvw5LZ0gCOjWrRu2bdvGf/epxD12T6dMJkNycjIqVapU2pnKHHs6iSoevV6Pn3/+Gfb29njllVcAFP7yvHHjRvTo0QNqtdrMCQvNnTsXM2fOxOzZs/Hee+8BKMyZlpYGNzc3M6crKiWrAPEZ+cjT6eFmZwUfF2vYqB69z4hWq4WnpyfS09Oxa9cudOzYsQzS0pPYvXs3OnXqhAsXLnBRfSpRxdqRaOrUqY9c923BggVPFYiIqCSsXLkSb775Jnx9fdG9e3eoVCoIgoBXX33VrLmMRiOAfzfacHNzQ35+Po4cOSIVnYIglMuC80ZyNv6OTEO+1gCFTIbLxix4O1rjhYBKcLD6d3e62NhYzJ07FwkJCdi8eTMAQKVSYfLkyRAEAY0aNTLPB6DH0q5dO9ja2mLbtm0sOqlEFauns1WrVtLuHPe9mCBY5KxK9nQSWT6j0Yg7d+7AxcUFAJCfn48WLVpg8ODBGDt2bLmYhLJmzRrMnTsX8+fPR7du3QAU5jx16lS5X/IoV6PHtouJ0BuMcHco/FoajCIi03LQxMcZTao6SsMB4uPj4ePjA1EUERERgRo1apgzOj2Bl19+GUlJSTh+/Li5o1AFUqyezk2bNlXIiUREZNnOnDmDESNGwNPTEzt37gQAWFtb48KFC+WqkLt06RKuXbuGH374QSo6ra2t0a5dOzMne7TUbA0y87Wo5mortcllApL+OYch4+ah9XMNsPL/OzhVqVIFc+fORZMmTeDr62uuyPQUQkJC8MYbbyA1NbVCDqsj83jsiUTl6Qc3EdG9XFxccOXKFZw4cQIJCQlSuzl/bp04cQL9+vXD9evXpbaxY8fim2++wU8//WS2XE9Lp9MiPy/XpO3ahTPYFBoKrVYrtX300Ufo0KED5HJ5WUekEtC1a1eIoij9EkdUEjh7nYgsiiiK2L17t8lSQjVq1MDvv/+OyMhIeHl5mTHdv+bMmYMNGzaY7Ivu6+uLd999F/b29mZM9mQq2atx4s9f8VpQI2z5ZSWAwtvrlf0bYuL0LxAeHv7Q4VdkWTw8PNCsWTNs27bN3FGoAnnsonPVqlVwdHQszSxERI909OhRdOrUCe+//z6SkpKk9l69eknjOcva7du38fnnnyM7O1tqmzBhAoYPH45Ro0aZJVNJiIqKgkajAVC4n3otT2fkZGbg6KF9iEnLQ1RaLnxd7DD1o/fKTbFPJSckJAQ7d+40WV6M6Gk89kSiiowTiYjKt4yMDDg7OwMo7Ol88cUX0ahRI3zyySdwdXU1czqgcePGOH/+POYv/Bo9BgxHZr4eaoUMPs42cLRRPvoC5dBrr72G9evX448//sDLL78MAMjMzMTO/YdRo0FL6EQBrnbqx14yiSzP2bNn0bRpU+zfvx/BwcHmjkMVwGP3dBIRlbWYmBh06tQJzZo1k3pbBEHAvn37sHDhQrMUnEajEXv37jUZcjRq1Cg0bNwYd2SO2B2ejJO30nDwWgq2XUpATFpemWcsLp1OV2TlEV9fXwiCgIsXL0ptjo6O6Ne7O5rVrITWtdwQ4GHPgrMCa9y4MTw9PXmLnUpMuS86q1WrBkEQijzubpc2bNiwIs+1bNnSzKmJqCS4uLjg3LlziI6OxsmTJ6X2u2tcljVRFNGiRQt06NABe/bskdpHjRqF79bvQuXANqjqYoMalexQs5Id8rUG/B2ZhgKd4SFXNS+tVovq1aujffv2uHz5stQ+fvx4xMTEYPr06eYLR2Ylk8mk3YmISkK5LzpPnz6NxMRE6XH3B/29Czx37tzZ5Jy//vrLXHGJ6ClcvHgRc+fOlY7t7Ozw888/4/r163j++efNkun27dvSnwVBQJs2beDg4IC4uDipXWcEotPz4WKrhkIuk871dLRGeo4GqdmaMs/9INHR0fjjjz+kY5VKhWbNmsHd3R2RkZFSu6enJ7y9vc0RkcqRkJAQXL9+HTdu3DB3FKoALG5M5/jx47Ft2zbcuHEDgiBg2LBhuHPnjrTrxZPgmE4i80tKSoKPjw/0ej1OnjyJ5s2bmzWPXq/HgAEDsHnzZly9ehU1a9YEULhPukqlMpmBXqAz4I+zcZDLBDjZ/DuD22gUEZ2ei671PeF7z/qW5nL9+nUEBARArVYjKSkJTk5OAICUlBS4uLgU2eudKCcnB25ubvj8888xfvx4c8chC1fsnk5nZ2e4uLgUebi6uqJKlSpo164dVq1aVRpZodVq8fPPP2P48OEm6+8dPHgQlStXhr+/P0aOHImUlJSHXkej0SArK8vkQURlLzMzU/qzh4cHBg8ejL59+z7RLHSDUYRGZ4BGZ4DeYHyiZd7ufY1CoUB2djZ0Oh127Nghtbu6uhZZ8shKKYenkxXScrUw3nON27kaOFgr4WZX9vu863Q6bN++HRs2bJDa/Pz8EBgYiNatW5v8nKxcuTILTrovOzs7BAcH8xY7lYhi93QuXLgQs2fPRpcuXdC8eXOIoojTp09j586deO+99xAZGYmffvoJixYtwsiRI0s07IYNGzBgwADExMRIy3OsX78ednZ28PX1RWRkJKZOnQq9Xo+zZ89Crb7/D/rp06djxowZRdrZ00lUNnJzc/HOO+9g06ZNuHHjhrTjicFgeKLFxHUGIzR6A+7+KiqKApRyASqF7LEWiC8oKMD8+fOxbt06nDx5Era2hb2SFy9ehCAIqF+//iOvkZqtwYF/UpCSUwBrpQJavQEqhQyta7qhjmfZ/1z5/fff0bdvX/j6+uLWrVvSONiCgoJysSUoWY7vvvsO48ePR1paGv+NpKdS7KLzlVdeQYcOHTB69GiT9mXLlmH37t34448/sGjRIixfvhyXLl0q0bCdOnWCSqXCn3/++cBzEhMT4evri99++01a5uO/NBqNtPYcUHh73cfHh0UnURkRRRFNmzZFWFgYfvzxR4wYMeKJr2UwiijQ6SETBMhkgnR9vQGwUsqkMZYPYzQa4e/vj4iICCxfvvyJf2HOzNMhIjUHKdkFsFMrUM3NFt7ONhBFsVR3R4qLi8PPP/+MwMBAhISEACjc071hw4bo2rUrZs+eLRXSRMUVFRWF6tWr4/fff0efPn3MHYcsWLGLTjs7O5w/fx61atUyab958yYaNWqEnJwcREREoEGDBsjNzX3AVYovOjoaNWrUQGhoKHr27PnQc/38/PDGG2/go48+eqxrc0wnUemKj4/HDz/8gKlTp0o9mX///TcEQUCLFi2e6tp3ezmV/yku9QYjFDIZ1ErTnlOj0Yi//voLW7duxbJly6RicOPGjSgoKEDfvn1LZGcdg1HEP0lZ+CcxGzkaHbycrFHPyxFeTtZPfe3/mjlzJj799FO89NJLJrPqS7vYpWdHYGAgmjZtitWrV5s7ClmwYo/pdHFxuW9P459//imNw8rNzS3xbd5WrVqFypUro1u3bg89Ly0tDbGxsfD09CzR9yeiJ6PX69G8eXPMmDEDv/76q9TesmXLpy44ARTeUhcfv7DKysrCa6+9hh9++MFkbco+ffpg0KBBJbaV48lbadh1ORlJWfnQG0RcisvEX5cSEZfxdOt27t27FwMGDMCpU6ektkGDBqFdu3YYOHCgybksOKmkhISE4K+//oLBUH6X/6Lyr9gjx6dOnYq33noLBw4cQPPmzSEIAk6dOoW//vpL2gt5z549aNeuXYmFNBqNWLVqFYYOHWoy2D0nJwfTp0/HK6+8Ak9PT0RFReHjjz+Gm5sbevfuXWLvT0TFk52dLf3iqVAoMHbsWGzfvr3IHZKSIBMECIIIoxEmt9dFAHKZgKioKBw6dAhDhw4FADg5OWHcuHHQarUICAgo8TwAkJ6rxaX4TLjYKuFsW1jEutmrcSs1Fxdi76CKk/UTF4Rr1qzBunXr4OzsLM3wr169Og4ePFhS8YmKCAkJwRdffIHTp09zLWx6Yk+0ZNKxY8ewePFiXLt2DaIoonbt2hg7dixat25dGhmxe/dudOrUCdeuXYO/v7/Unp+fj169euHcuXO4c+cOPD09ERwcjJkzZ8LHx+exr8/b60QlQxRFTJ06Fd988w2OHDmCRo0aQaM3IDtPC4VCDkdrZan0vukMRmj1BhhF4O7llTIZUpMTUa1aNYiiiIiICFSrVq3E3/t+bqZkY8v5BNSsZGvyee/kaaE3ihjYwhdWyodPmDIajfjyyy+xbt067Nq1C+7u7gCAQ4cO4Y8//sCwYcPQpEmTUv0cRHfp9Xq4u7vj7bffxsyZM80dhyzUE62R0aZNG7Rp06akszxQx44d77v8ibW1NXbt2lVmOYjo4QRBwK1bt5CTk4M1a9bAxccfEbdzkKfRQy4T4GanRm1PB9ipS3Z5HqVcBrkgIF+jwdUrV9G4USPIZQK8vb2lPaNzcnJK9D0fRiGTQS4TYDCKUMj/LTq1eiPUSjnksvsX3vfO3pfJZAgNDcWFCxewbt06aY3Edu3aleidJKLHoVAo0KVLF2zbto1FJz2xJ+rpNBqNuHnzJlJSUmA0Gk2ea9u2bYmFKyvs6SR6MtnZ2Vi8eDHefPNNaUz3zZs3ER4ejubtOiIsJgNqhRwO1kroDEakZhfA08kaz1V1fqxZ5Y/yT1IW9l1NQURKDoSsRKyZMgyi0YDdJy8jzyCHjUqOyrZy+FRyfOr3Kg6t3og/wuKQnFWAqi42kMsE5Gn1iM/Ixwt+ldCihume8bdv38b48eNx/PhxXL9+XRpGtGXLFqSmpqJPnz7SQu5E5vLbb7+hf//+iI2N5W5V9ESK3d3w999/Y8CAAYiOji7S+ygIAgcZEz1DevbsiQMHDiAnJwezZ88GANSqVQu1atXCmah0QBCkMY1ymRyejtZIydIgPU+LyvZPvlakwSjibHQ6vttzBbkGOeytFcjV2yPfKIdMFLFh70nUqF0POoMIOysFnhflqFXZrkQ+8+NQKWRo518JB66lIOp24SoeCrkMgVUc0dDHCUDhusCOjoXFsKOjI3bv3o3U1FQcOHAAHTp0AIBHrtRBVJY6deoEuVyO7du348033zR3HLJAxS46R48ejaZNm2L79u3w9PTk7EiiZ0h+fj7UarW00Pi7776L+Pj4ImMLjUYRORo9rP8zblEhl8EoitDqjdAZjIhNz0N6rhZymYAqztaobG+FAp0BCXfyIQLwdLSCjerfH1MavQGX4jKx78Q5LJgxCfk5mRg6bx3srVWAozVavv0VjLaV0KhxAJxtlACAhDv5OBOVjipO1rBWFX/h+Sfl5WSNV5p4IzY9Dxq9EU42Sng5WuPcuTC8/vrrsLW1xYkTJwAASqUSS5YsgY+Pj9m3/yR6EGdnZ7Rp0wbbtm1j0UlPpNhF540bN7Bx48ZSmYVKROXXypUr8cknn2DhwoXo168fgMKeuJCQkCJbKMpkAhytlYjLyIejtVJq1+qNUMgECAD2X03BjZRsGIyFM83trRTwcrRGTEYeUrI0MIoi3GzVeMHfDQ28nSCKIg5dS8X52DvIl9vg9q1LMOp1CL9yBfUDA2GllMPZ0xep2RrcztZIRae7gxWi0/OQmq1BVVebsvpyAfj/9pi2ArKycuHlXLiLWpUqVRAeHg6lUomkpCR4eHgAABfdJosQEhKCadOmIT8/H9bWJb/mLFVsxR5U1aJFC9y8ebM0shBRORYXF4fExESsXLlSahME4YF7dns720ClkCElqwAFOgOyC3RIzsqHu4MVUnM0uJqUBS8na9SqbA+/yvbI0xqw/nQM4tLzUdXFBtXdbJGr1eP3Qxcx8u13Mfj1N3A1KQuejlbwq+qFRoM/wYvTfoN15WpIyy3cYczw/2WT7h0vKm2NieLvxf601qxZAw8PD0yaNElq8/DwwNatW5GYmCgVnESWIiQkBPn5+Thw4IC5o5AFKnZP59ixYzFhwgQkJSWhfv36UCqVJs83aNCgxMIRkXno9XqsXbsWLVu2RN26dQEA48ePh7u7O15//fXHukYlezUaejsh8nYOsgoKZ6/7VbZHzcp2+OtiImxVCqgV/97u1umNyMjTIbCKQtpdyNvZBoevpuLH7xdBLpejavvBqBpYC6IINHi+I64mZkHQGZGVp4OXo4g8rR42KgU8HdTSdZOzC+BkrXyqMaSP69KlS6hcubK0vJG/vz9yc3Nx8eJFGI1GaVjCoza5ICqvateujRo1amDbtm3o2rWrueOQhSn27PW7PzRNLiII0nZrljiRiLPXiUyNHTsWixcvxiuvvIKNGzc+9FyN3oCEOwXQ/n/cYmV7tclYb4NRRL7OAIVMkNam3HAmFtn5eng4/lsIXoq7g2PXE2Ebfxr2SiCox2vIzNfhelI2Lmxagl5dO0DjHoiqbra4mZyL68nZuJGSg+x8HeRyAZ4OVvB1tUXdKg6QCwJUchm0BiNs1Qo8X8sNfu4lu0vaf40ePRrLli3DzJkz8cknnwAoXLf09OnTaNasGce/U4Uxbtw4bNq0CdHR0fx7TcVS7J7OyMjI0shBRGZkNBqh0+mgVhf2EI4ePRq///47Wrdu/dD9u5OzCnDoWiqSsgpgEEVYKWQIcLfH836VIEKE3iDCSikvsi5ndVdbHLt5G5Xs1f+uWSkAqeHHse3HqbBzcoFY8wWkFRiRXaCHX8ib0LvbwWAQcS7mDpLuFMDJRoUmVZ0Rl5EHtVIGDwcrjH3RD55O1oi6nYvbORrYqhTwdbVBZYeS7eXMzc3Fli1b0Lt3b2lcW6tWrbBy5Uqkp6dL5wmCwIlBVOGEhITg22+/xaVLl3h3k4rlidbprGjY00nPsr179+K9995Dnz59MG3aNKldq9U+dB9yrd6ILefjkXCnAFVdrKGQy5Cj0SM2PQ+1KtkVrs1pNMJOrUB1N1t4O/87iSe7QIc9V5Jx/HQY5AYNqtZpDK3egNi0LKye/Drs/FvAumEI5Gor2Fsp0byaMxxsFMgpMCCrQI+sPB0cbJRQyWXwcrKGX2U7RNzORdf6HnjO16VUv14AUL9+fVy+fBnr169H3759ARTO7M/Ly4Orq+sjXk1k2TQaDVxdXfHxxx/j448/NnccsiCP1dO5detWdOnSBUqlElu3bn3ouT169CiRYERUNtLT03H58mVkZ2djypQp0sSgRxWcUbdzEJuei6outhABpGQVQG80Ij1XixNZt9Gxngfs1ArkFOhxPuYO5DIBno6FvYL2Vkqkhu3G/NEj4FevIZZs2IlKDlb464IB9d/6Fmm5WhgMRijlAgyiESejMlDJTgWZTIBMEOBgpUA9L0c4WSthb6WQemJ1hpL/HTo8PBw7duzAhAkTpPfp2bMn8vLyTIYTWVtbczYvPRPUajU6duyIbdu2seikYnmsnk6ZTIakpCRUrlz5vmM6pYtxTCdRuSaKInbv3g21Wo2goCAAhbfWv/32WwwdOhTOzs6PfH2ORo88jQG3UnOw52oyXGxViLqdh1ytHhq9Abeztahsr8KwNtWlMZyxGXnIyMiE3FAAd08vVHezg0qXjfp1A9C5cxesWb0K/6RqsPp4FOIz8pGarYEIwFolQ1qOBnqjiEp2alSyt4K9lQKJWQVoUd0FAe6F/7/mafVIyirAq019ULNSyS0Cn52djUqVKkGj0eDcuXNo1KgRAKCgoABqtZrj2eiZtXLlSrzxxhtITk5GpUqVzB2HLMRj9XTeu9Xlf7e9JCLLsWzZMrz11lsIDAzEhQsXIJPJIJPJpH29gcLCMjNfh+wCHUSxsFfS0VoJmUyARm9EjkYPtUIOd0crWCvluBCbCREiPB2tkK8zIDGzALlaA5KyClDN1RZavRG//vIrtiz5DAHNg9BpzCwk3ImCk7USn/58ENWrVEbkHR0S7uRDAKAzGuFoo8SdPB0MRhF6Y+He6nqjCINRRICHA0QAF+MyYaNUQBCAXI0eDX2c4Ovy5Otw5ufnY/PmzYiMjJR6b+zt7dGnT58i+7ZbWZX+THii8qxr164QRRE7d+7E4MGDzR2HLESxJxJFRUWhWrVqpRCFiEqDRqORJgj169cPM2bMQMeOHVFQUAAbG9MiTRRFxKTlISYjD0ajCECATFa4u051V1vkawuXPpLLBLjaqeFiq8LtnHy42qmRozEgs0AHO7UCTjYqRKVkopqrLaLSclFg4w5dfi6SI6/jXGQqMgoKb7DcrmyLDH06riVlwUoph/D/SUVqhQzWShmyNHroDEbIIEBnMMLDyQpVXW1go5IjIjUHaqUM9lZKtAuohHpejk+1n/vNmzcxYMAAKJVKjB49WtpL/qeffmKPJtF/eHh4oFmzZti2bRuLTnpsxS46a9SogdatW2Pw4MF49dVXpR/MRFS+XL58Ge+99x4qVaqEX3/9FUDhNnZRUVFSEfpfWfl6xGTkwU6tkLaM1OqNiEvPg6O1EgIAAf8WYAEe9jgXY4PsAh2SMgvgZKNAVkwYNv66GPXbvIQXZs7AjZQcuFarjf4zVyLVqhqytQY4WsuRrzUgPiMfd/L08HaxLuzNNBihUsiQlV+43maB3ggBIpQKBWp7OKB5NRfIBQEFOgOaVXPBq019/p39Xgy3bt3Cjz/+CDc3N7z//vsACicH9ezZEw0aNMC9o45YcBLdX0hICObPnw+dTldkzW6i+yl2t8CZM2fQqlUrzJo1C15eXujZsyd+//13aDSa0shHRE/IYDBg7969CA0NRXJystT+oIITALIKtDAaRZM9ylUKGWQyAXfytFArZNDfM8RGKZchV2uAEYCzrRIyQYaszEzcjr6GC/u3IuFOHkQAzrYqKDzqIFtrQJ5Wj/RcLbI1Bmj0RuiNhVtjejpao7aHAyrZqeFqo0SeTg8HawUa+jijnpcDalW2h0ZvROTtXMhlApr4Oj9RwQkA586dw9y5c7Fw4UKTceibN2/GZ599xhnoRI9h4MCBaNasmbljkAV54iWTRFHEwYMH8euvv+KPP/6AwWDAK6+8YrJFnqXgRCKqCM6fP49bt27h5Zdfltq+//57dOnS5bGHxMSm5+JWah7cHU0L09RsDTwcrFDdzRaZ+TpoDUYoZDL88tdhLFn8DbwbPo/GbTtDLpMhPj0LkYdC8cWkd1CnmheO3UzDulMxuJ6SjZx8HQRBgCAAeoMIlUKAk40a1VxtEOjthBbVnRGZmofqlWxhZ6WQ1vhMy9HgenIOcjV6uNqp0MjHCbUqP95i77t27cK3336Lfv36YciQIQAKhxwMHToUffr0Qa9evR64lScREZWcElmnMywsDCNGjMDFixc5e53IDA4dOoSgoCA4OzsjMjISjo6OT3SdjFwtLidkwsH63y0qNToDwhOyoJbLYKNWwMvJGt7OVtDpRYx87yNsW70I1eo0xCvTVkNjMMLNTgW1Uo5+zaridnYBtpyPx9noO7iRnA29WDimR64QoBAEGIxGyGUyPFfNBS/VcUf1SraIup2HVjVdihSVBqMIncEItUL20FveRqPx/4Vt4Tlz587Fxx9/jHbt2uHgwYNP9HUhIqKn98S/3sfGxmLdunX49ddfcenSJbRq1QqLFy8uyWxE9BD3Lt7+/PPPo169eqhfvz7y8vIeWXTqDEbcTMmBVm9ENTdbOFoXjsdytFbCy8ka8Rl5EAQ9RKOIc3F3EJuWB7khHxf3b0X1Bs0R3KopOtXzQOdXhyA5LgoBwa8iNiMXRhEQjUbYWauQkavBnivJ0BqM8HRUI/p2LmA0wmAE5KIImVyA1gjIIKKupwOqutogR6P/f+9n0TVCCycwyYu032vu3LlYtmwZfv75Zzz//PMAgEGDBiE3NxeDBg16ki8zERGVkGIXncuXL8cvv/yCY8eOISAgAAMHDsTmzZs5o52ojCQmJmLSpEm4evUqTp48CUEQIJfLcfr0aWlxclEUoTUYYTCKkP1/H3LZ/8c/nopMx5rjkUjN1kAQBLjYqtCjoRc6B3pAJhNQ3dUWTtZKZORpkXAnH7dzNKjmZosN82fjyF8b0abLK6js648alexQ3dsT7iETEZmvhSJLA7lMQHJWAdzsrBCekInUHA2s5AIy8vVQKWRQCTJo9HoYjIBKLsBGqYKNWgFHayUSM/NhFIG6ng5wtX3wwvT3ys7Ohr39vz2iN27cQHR0NNatWycVnT4+Ppg1a1YJfxeIiKi4il10zpw5E6+99hq++eYbaaFkIio7SqUSoaGhyMnJwYkTJ9C6dWsAkApOo7Fwnc1cjR6iCIhC4f7nKrkMW87HY+XRSGRrDHCwUsDdwQo5Gj1+PhkDF1sVWtRwhUxWWIheOnMC+bZeECDAxVaNl14ehIgr51G3SQvIBGD/1WTcydch9k4+FDLAWiXAoAdEAFqDAbdSc5GvMSDDYCi85S0D8rUGCBAgQIRcJoOrnQq1PRxQo7It7K2U8HayQRVn60fOGNdqtXj11Vexa9cu3Lp1C15eXgCAd999F507d0b37t1L9XtARETFV+zZ6zExMfjyyy9ZcBKVkbi4OKxZs0Y6dnNzw9KlS3H69Gmp4LxXrlaP7AI9VEoZbK0UsFUpUKAz4vczsdh8Lh65WgMq26uhkMmQcCe/cKyk3oC/LiXiamIWEu7kY8iQIQgODsaW9Wul69YKbIx56/bi+W6vIjmrAImZBUjMyJPGWOZpDQAKZ74X6AzI0ehho5IjJi0PWr0RlR2sIIiARl+44Hu+zgCdwYjAKo7oWNcDrWu6oaqrzX1npBuNRty6dUs6VqlUSEtLg0ajwa5du6T2Ro0aoW/fvtyOkp5ZQUFBJps95OXl4ZVXXoGDgwMEQcCdO3fMlu1pCIKAzZs3mzsGPaViF513/9LOnz8fb7zxBkaOHIkFCxYgMzOzNPIRPdPi4+NRq1YtDB8+HP/884/UPnDgQDRt2rTI+Xe3qVQqBCj+v2WtIAjI0+hwPu4O1IrCHk+lXAZrlRwqhaywgExKwsGrSVhy4Ca+3nsD1tUbwcbGBmrBAKVchn8Ss3Ax/g6uJGbhRlI27uTpULOyDQwQYRABa5UcDlYKOFgrYadWIKtADyNENPF1gt5gRL7WgOx8HRRKOZxtFHCzU8HDwRod6nogV1e4e9GD3Lp1CzVr1kSzZs2g1Wql9gULFuDKlSt4/fXXS/ArTlT2hg0bhl69ehVpP3jw4FMXimvWrMGRI0dw/PhxJCYm3ne89+rVqyEIAurUqVPkuQ0bNkAQhDIbQjd9+nSzdmpFRUVBEAScP3/ebBkqsidap7NmzZpYuHAh0tPTcfv2bSxcuBA1a9ZEWFhYaWQkeqbodDrpz1WqVEHHjh3x/PPPm7Q/iCgCEAHZ/29Pi6L4/0LUgHyNAa52akAonAkuiiKMInD+929xbFY/3Ll2AtXcbGFvpQBqtMGC0OOYO2sm9AYjzkSn40LsHZyLycCRm7dxJ0+L1CwtMvL00OoM0OlFGEURBXo9cgr0EASgsp0VWtZ0Qz1PR8hlAvI0BqjkAhyslXC2UaGqqw1qVLJDgdaAtJx/i8nbt2/j4sWL0nHVqlVRUFAAnU6H8PBwqb158+b3/UeSiP4VERGBOnXqIDAwEB4eHg8cumJra4uUlBScOHHCpH3lypWoWrXqU+e49xdGenYVu+h877330KNHD0RFRSE0NBSbNm1CZGQkQkJCTLr0iah48vLyMGnSJPj7+5vs9b1u3TocPHgQ9evXf+Q1ZDIBKoUMGp0BRlGUHkoZYK2Wwd5aDmcrBdJztUjOKkBCRh4MMhVEgx5JV0/jfOwd2KkVqOJij8gcAUdv3obBKKKtXyU09nFGHQ97uNqqkKvRQ2sovE2vUsiQrytc8D0lS4u0XB1cbVQI8LCHjUoOW2sF3B2tYGetgMFoRHqeDslZ+TCIhQvDC0LhIvMA8Oeff8LT0xPDhw+XPpNCocCOHTuQlJSExo0bl/wXnshCpKWloX///vD29oaNjQ3q16+PdevWPfD8oKAgzJ8/H4cPH4YgCAgKCnrguQqFAgMGDDBZazsuLg4HDx7EgAEDTM6NiIhAz5494e7uDjs7OzRr1gx79+41OadatWqYNWsWhg0bBkdHR4wcORIA8NFHH8Hf3x82NjaoUaMGpk6dKv1CvXr1asyYMQMXLlyQlj1bvXq1dM3bt2+jd+/esLGxgZ+fH7Zu3WrynocOHULz5s2hVqvh6emJSZMmQa/Xm3w93n33XXz44YdwcXGBh4cHpk+f/sCvCZW8J+rp/Oijj0wWU1YoFPjwww9x5syZEg1H9CxRqVT4448/EBUVZfIPiVJtjRyNHhr9462Ba2elgFwmILugcBH3Ap0RjjZKNPZ2xJFNP+Po3IGQZcTgTr4WBqMI1+Y90GjMd2jYbwIiU3MRl5EPOysF8nUGXEnMgrVKDm8XG9T1coCXsw2cbFSwVSuQkaeDr4s1vJysIBNkUMgEeDlZI9DLHg7WKlyKz8Txm7eRladDnkYPncEAvUEExMIxnbeSc7Hxr33ISbwFb+fCMZgtW7YEUNhDm52dLX2mRo0aFdknnuhZU1BQgOeeew7btm3D5cuXMWrUKAwePBgnT5687/mhoaEYOXIkWrVqhcTERISGhj70+iNGjMD69euRl5cHoLAI7Ny5M9zd3U3Oy8nJQdeuXbF3716cO3cOnTp1Qvfu3RETE2Ny3pdffonAwECcPXsWU6dOBQDY29tj9erVuHLlCr755hv88MMPWLhwIQCgX79+mDBhAurVq4fExEQkJiaiX79+0vVmzJiBvn374uLFi+jatSsGDhyI9PR0AIVDkbp27YpmzZrhwoUL+P7777FixYoiK1esWbMGtra2OHnyJObNm4fPPvsMe/bsedSXnkpIsWevOzg4ICYmBrVr1zZpj42NNVm6hIgeLisrC+vXr8cbb7wBQRCgUCjw7bffQqfToXv37kjP1eJGchYy8nQwGAtnoPu62KB6JTto9UbkagunimfkaaE3ivBytIajjRIquQyOVgpo9EZoDCJUCsBWZYW+Tati6bRwZKXE4+bhTXDu8BbcHJQQHN2hUnpCrZQjV6NHwp082KgKdwKyUymQq/m3pyBPY4BKIYOjjQpWCjmMIqBSyKGUC/BytkOtyvbI/f94zvQcLRIyCwBBRK7GAJVcDrWtAjqDEaIAROxahSMHf0FW95dhO6wrAKBSpUq4desWfHx8zPVtITKLbdu2wc7OzqTtv5utVKlSBRMnTpSOx44di507d+L3339HixYtilzTxcUFNjY2UKlU8PDweGSGRo0aoWbNmti4cSMGDx6M1atXY8GCBSaT+ACgYcOGaNiwoXQ8a9YsbNq0CVu3bsU777wjtb/44osmeQHgk08+kf5crVo1TJgwAevXr8eHH34Ia2tr2NnZQaFQ3DfvsGHD0L9/fwDAnDlzsGjRIpw6dQqdO3fGkiVL4OPjg8WLF0MQBNSuXRsJCQn46KOP8Omnn0L2/zHuDRo0wLRp0wAAfn5+WLx4Mfbt24cOHToAgHTe3f9SySp20dmvXz+MGDECX331FVq3bg1BEHD06FF88MEH0l+GkjJ9+nTMmDHDpM3d3R1JSUkACntDZsyYgeXLlyMjIwMtWrTAd999h3r16pVoDqKnodUbcTtHA5VCBje7wu0ldTodAgMDERsbCy8vL3Tr1g0A0KVLF+Ro9Nh+KRFHb6QiMUsDJ2slGno7wtvZGhfi7uBGSjYMRiDydg7CE7KgM4hwtFbCzV6Ndn5uaFHdGUqZgL9PHsXSpUuxbNly2Ng540ZKNmq91B/ZrnVgVbsdNAJgEAtvd+RqCpcyEkUgM1+HtFwNOtX1gJezNbaeT4BGZ4BaKYdSISBXo4edWoEmvs6wUSmgN4hQCDJ4OlnB2UoJO5UcKqUcGp0RVko5lDI5jPlZuHPxIOo1awvryl7IyNXCunkQUv/eBCcnJ5OvFwtOehYFBwfj+++/N2k7efKkyaYGBoMBn3/+OdavX4/4+HhoNBpoNBrY2tqWWI7hw4dj1apVqFq1qtSj+d+NX3JzczFjxgxs27YNCQkJ0Ov1yM/PL9LTeb/Jjhs3bsTXX3+NmzdvIicnB3q9/rF3AmzQoIH0Z1tbW9jb2yMlJQUAcPXqVbRq1cpkzGqbNm2Qk5ODuLg4aVzqvdcAAE9PT+kaAKTC/7+/AFDJKHbR+dVXX0EQBAwZMkQaK6FUKvHWW2/h888/L/GA9erVMxkrIpf/uyPJvHnzsGDBAqxevRr+/v6YNWsWOnTogGvXrrHXlcqFs9EZOHgtBanZGshgRN0qzugc6AE3OzVee+01bN26FUqlUjrfaBSx41IiTkemI19nQCU7JXR64HRkBqyUcugNRpyPvYMAd3v8k5SN7HwdIAgQRRF5Wh1+TsuBjUqOQC8HvP/++7h06RKaNWuOd8a9j41nYpFt54umnfygNRhxPTkbBXoj7NRyqGVyiBCh0RtR2d4K3Rt44cU6lSGKwK3UwuJWJgjI0+oLb8nbqeBmp4YgAHK5DM62SjzvVwlqpQw3krOhksuQqtWikp0alezUWP/rXKRd/RtyTTYa9HgDDtZKeNZvhKYr92No29oP+QoSPRtsbW1Rq1Ytk7a4uDiT4/nz52PhwoX4+uuvUb9+fdja2mL8+PElOkln4MCB+PDDDzF9+nQMGTLEZCjdXR988AF27dqFr776CrVq1YK1tTX69OlTJMd/i+G///4br732GmbMmIFOnTrB0dERv/32G+bPn/9Y2e79WQkUrsxhNBoBFHZC/XeS1N1dvu9tf9g1AEiz+1l0lo5iF50qlQrffPMN5s6di4iICIiiiFq1apXaeKsHdbOLooivv/4aU6ZMwcsvvwygcKyGu7s7fv31V7z55pulkofocYUnZGLj2VgYjEZc3/87Dm5ciR6TlyIzvx7eeKE6pk+fjjlz5pj8UI+/k49/krLh4WSFpMwC2KgUkFsX7vJzNSELrnZqyAUB6fk6JGYWILdAh4TMAuTduY28KwdRtd2rWH1Mjmk96mHChA/w998n0L17d0TczkZMWh6sVTJYKwt/cbNVK5CZp0Om0QAHKxWcVEo08nfEhI614eloLe1g1LNRFdTxdEBMeh6UMgHWSjlu5xbuViQC8HG2hsP/x4CKRiOuXjiLsAPb8MqbH8DTyRpWSjn2tu6M85mpUDm5w0ohh52VAlqDEVUrO8DD0coc3x4ii3PkyBH07NlT6v00Go24ceNGia7i4OLigh49emDDhg1YunTpA3MMGzYMvXv3BlA4xjMqKuqR1z527Bh8fX0xZcoUqS06OtrkHJVKVWRYweOoW7cu/vjjD5Pi8/jx47C3t0eVKlUe+zpyuVwqVqnkPfHe63dnzpW2GzduwMvLC2q1Gi1atMCcOXNQo0YNREZGIikpCR07dpTOVavVaNeuHY4fP86ik8zu5K10FOiM8HO3w/azR5GZmoToo5vg6uWLG8k5CKxSdL28zHwdCnQGeDlZITVbA53BCLlMDlu1HHfydZDJBdiqFUj7/+LsmXla6HU6RK94F4bcDCicvRCmaIsTEbcxcOAADBw4AKIo4mJCFuRyASIExKTnQW80QiUvLCC1BgPsVTK81sIHXep5wdFaCYOx8IeuTCbASilHA28nNPB2knJq9IXLHIkAXG1VuJacjb8uJiAmLRfrvvgAObcT8Fyz5rBpMgxqhRUGDRqA+kFdkasxQGMwABqgupstXqxdWRpyQEQPV6tWLfzxxx84fvw4nJ2dsWDBAiQlJZX40mGrV6/GkiVL4Orq+sAcoaGh6N69OwRBwNSpU016Cx+WPyYmBr/99huaNWuG7du3Y9OmTSbnVKtWDZGRkTh//jy8vb1hb28PtfrRPyPefvttfP311xg7dizeeecdXLt2DdOmTcP7779frPGZ8fHxaN++PTZv3lxk7go9vccuOu9dwuRh7l1u4Wm1aNECa9euhb+/P5KTkzFr1iy0bt0a4eHh0rjO/86qc3d3L/Kb03/dHQdzV1ZWVollJtLpdPjll18QbV8fDtaFPyy7j3gfDdq8hFZdXkFEmgYZefe/HWZvpYBKIUN6rhaZ+Tok3MmHQiYgX6uHQiZDVoEOfm42uHHpDHL0HjAYRajVSjg3bI+8mHAYFdbQGow4HZmOljVc4WSjglwuQyV7NayUctzJ0yFHo4ezjRJKuRwaXQHkMjk61PfAgObVpByiKMJgFCEIuO+6fmqFHE4qET/99BMOHz6CN6bOh51aiSbVXHC7zyDcvHYVGht3XIi9A3cHKzSt5orOgV5IuJOPjDwtXGxV8He3L1w3lIgey9SpUxEZ+b/27jvMiup+/Ph75va2vbONpfeudIToUqRZUWKEqMRusES/aIwlKmpiiSUaYy+xBtQEC1hAiigiZekssOzC9nr33r195vfHyo0roPiTZRf4vJ7nPg/3zNy5Z2b2sJ/9nDnn7GH8+PHY7XZ+97vfMX369KO+OIvNZvvRVb0eeeQRLrnkEoYPH05SUhK33HLLEf0enTZtGtdffz3XXHMNgUCAM888k9tvv73FtEXnnHMOCxYsYOzYsdTX1/PCCy8we/bsnzx2hw4d+OCDD/jDH/5Av379SEhI4NJLL20xcOlIhEIhtm/fjt9/+AUrxP8/RT/CPLKqquTk5DBgwIAfTT3/8K+Wo8nr9dKpUyduvvlmhg4dyogRIygtLSU9PT26z5w5cygpKeGjjz467HEONUAJoKGh4YgfaBbicE4//XQ+/fRTzr1qHtljzqdTyv+eDfIGwqwvqWdU52SGdkqkZ3oMZuP//gqPaDp//7yQJVvLMSoKvmCE/Q0+whpkx9tJsGr8546L8FTtp/OVT6PFZGI2KqiEUVQjmqYTZzcxtFMyN+V3JdZqYk9tE98W1/PplgoKSt0YFR2jQSWk6VgMBrITrYzolMSc0Z1bLEGpaToGVYl2s/+Q2+0mNTUVv9/P7c8uZMigU7CZDdHPFlZ6iHOY+FX3VBKc5uhcnEIIIU5OR5zpvOKKK3jjjTfYvXs3l1xyCRdddBEJCQmtWbeDOBwO+vTpw86dO6NLhpWXl7cIOisrKw/Kfv7QvHnzuOGGG6Lv3W63jJgVP4svGEFVmzN+mqZFJzIGmDlzJgUFBfTMSaNJUdhf5yPZZaHC7WdlYTWaDuFIJSt3VdMrI4bLR3ci3mEGQFUgxmYkzmZC06HWG8Kq+UlKjCfZZWVEpwS+zu1KsMmD3lCOOSELBTAaTZgUBdXcHNilxliJt1vYWeVhyeZyjAaVnhkxVHkC+IIRDKpCbpKDLilOYm0mwpoe7co/4Pt/WhYVFfHXv/4Vr9fLCy+8ADRPn3bTTTcRMdqITe4QDTihuVs+NdZKWNOJc5gk4BRCCHHkmU5o7pZesGABzz//PKtWreLMM8/k0ksvJT8//7BLax1NgUCATp068bvf/Y7bb7+djIwMrr/+em6++WageZmtlJQUHnjggZ/1TKfb7SY2NlYyneInldb7+HpPLXuqvagK1G1ZyZtP/4W/Pfpo9PnicDhMIBDAbrezalcNS7dXUu0JUrCvgVAkwsDseGLtZnzBCEU1XvJ7pTGuewoF+xoorvWyaX8DWQl2lKCXJ+64nurC9cx+fBGeiJnBuQlEPDUU1mvUBRT21fnQvmvCmqYR1nQ6JNi556w+dE+N4a21JVQ0+OmY5MTtD7F6Vw2qqhCKaJzSMZEEh5nCikY6pziZPqBDtB3ruo6maZiMBhRFYevWrfTs2ROj0UhpaSnJycnRa1Le4OfDgjJSXBYsJkOLa5XktDChd9phs6VCCCFOHj8r/WCxWLjwwgtZsmQJW7ZsoVevXlx11VXk5OS0WLbvaLnppptYtmwZe/bs4auvvuLcc8/F7XYza9YsFEVh7ty53HfffSxcuJBNmzYxe/Zs7Hb7QUt2CXE0VDUGWPjtftburUNVQdPhgyWfsW3rVv7y179G9zMajTgcDhRFYUTnJOae3pXxvVJJcJgYmpdIrL05q2kzG0hyWli6vZI3vt7Lt8W1NPiCVHsCbNrfQMhgo6mmlJDPS0nB1yiqgqKAKzGFtMQ4pg3oQK8OMVjNRiKajqqqdE2L4XejO9EjLRZ/KIK7KUSMtXmKEJfVSId4G/5QhIamEJVuP7sqPbisRgblxqPrzd3iSz75hLGnncat8/4vGoT26NGD2267jUWLFh3Uw5HsspCVYGNfvQ9PIEwoojUPgtI0uqY5JeAUQggB/ILR6we6Ew9kRFrDvn37uPDCC6muriY5OZmhQ4eyevVqcnJyALj55pvx+XxcddVV0cnhFy9eLHN0ilZRsK+e5Z8v5tSB/Uh0ZAJw4WXXYnO6uOv2W/AGwpTV+6jyBDAZVNLjbKTHWHFYjCS7LOhAIKzhCwXQNB0dhWA4Qml9E0qwiR1L/kXxlm8Ye8OT1DY1T4k07tLbaMCGMz2XGKsRl9XI3lofOQl2xnZPYVheIjurPNR6g8RajaTHWslOdBKOaBgUhVibmWpvgERAQaFbWgwmg8rWMjdGVaF7uoteaQ7SnUaMhubJ4X1eLytWLGfPnt08+OCD0ZGfP1xO7gCDqnBqXiJGg0pJXRO1Xg2X1cTQzETykmSuOyGEEM3+v7vXV6xYweTJk/ntb3/LhAkTjuslo6R7XRyJ8TMuYfFbL3Da1Au4dN7/FkLYUd7IiC5JWI0qm0rdeAOh5qmE7GaGd0qiS6qT/2ws44nPdtIUjKDrOmaDSpzDTJ03SCCs0TPJxJs3TiHQ5KHPJfMx5w5EB1xWE57vlqHMjLPROcVJdqKD6f07kBJjoa4pSGl9EyV1fhqaAsTZzfRIc5Gd4MBkNLC1zM0HBWW4rEYSHGb8IY3Seh95yQ4m903n6Sce4/777+eee+6JPpISDAZ5/PHHmTFjBpmZmUd8fXRdp8EXIhjWiLGZsH6vq10IIYQ44kznVVddxRtvvEF2dja//e1veeONNw47h5cQJwpN06J/UJ02YSqfvfs6ztj46ATEuq6joVPfFGTDvgaq3D7CEZpX6lEVqr1B+mfFsXZvHRlxVgpKGghHIjRu/5Id5YV0nHApqqKgWmx0n3IFIbODjF6nUNsUocEXwmExMiQnDrc/QpUnQENTkJGnZtMh3oZBVQhGNHZWeghHdOIdluYVi/Y1oOkK3dNj6Jkegy8Y5tviekpqfXhqyujXvRNju6fisJjQNI3q6moWLVoUDTrNZjM33njjz75WiqIQ992jA0IIIcQP/awpk7KzsxkwYMCPDhpasGDBUavcsSKZTvFDX3/9NfPmzWP69Olce+21AGwvb+SlzwtISkwkyWVB03X21fkwG1RAY83uOhw2E4bvAk6DqtDgC5ERZyPBbqbaE+CbvXXUl+2l4NFLAZ0uVz2LOSkDm9mIw2Qg3tE8b+Xuag9GVSHRYSHRacZmNoKu0+ALc2pePKd1S2FQdjzLC6up8QZJ/96qPnVNQdBhbPcU7Obmvys9gTDnnHUWiz/8L59++injxo0DoKKignXr1nH66acfcrk7IYQQ4mg54t8yF1988TEZoS5EW/KHIgRCGl+t+YbPPvuMHTsL6Z9/PkENUmMsTBzUmTVFdRRWeohoGsGwTozVyIrCKqobA2TFO0h0mvAHNRoDIWoag1SVFJEYqsTVfTgJdguk5RDf/3SMMUk442IJoeBuChGx6JiMKpoOCpBgN6PpOjWeAH0zbaiKgj+sYTaqbC9vJCXGQkNTiFhby2YcazOxt6qRz5ct58wzxgLgtBjJyUxHURTWrFkTDTpTU1OZMGHCsb7MQgghTkI/65nOE5VkOsXX36xlX50PV0ZnAmENVQ/z3N/uJ2PoNEL2pGh3eb/MOCb1SaO+KdQ8dVJNI4GQzurd1dR5m7vD4xxmVHQ8gQiVuzez7R/XYbA6+NVd7xDAQpXbh8lsQFUU4mwm3L4woUgYRVHo3SGOUFin2hPAZlapbwqR4DTTPTWGYFijtilIfq80fMEIQ/MSKan1gkKLbu3a+gZ+M34YDbXVFBUVkZ2dDTSvcayqqsxJK4QQok0cv6N/hDhK/vnPf3LqkMH88ZYbgebMZUQxYB9xMW5jHF1SnHRNdZEWY+WbvbVs3NdAotNCbVOAWk+Q4lpf83OZqoLf52XX9m3srvJSUuujKTYXc2Im1syebC0qo9zdhC+i4w9G0DQNf1gjyWkmLdYGKHiDEVJiLPTsEIM/pBHRdRxmI03BCBWNftLjbCQ7zejoVHr87Kn28tbn63j2tQVUNPgJRTQ8ERMdO3clKSmJ7du3R88zJydHAk4hhBBtRh7iEielAwOBAMaePh6LzYYrMZVPN+0jhJFARKO6MUDHFAearqOi4LAYibGaWFNUS3aCnZ3ljTQEwrisRsIRCzV7NrHlxdtR7bGkX/r376YVU0md9SiqyYpJgXAEdB3MBhWHuXmd9dwkB55AmCSnlax4O03hCAo6uUkOgmENty+E2xCkc4qTwTkJ1HiDeAJh1hXVsa9wMy/NPQ+zzYnSoRf9clPonxXHv157lU7ZHTCZTG18pYUQQohmEnSKk8ru3bu54447iI+P57HHHgMgKTWNW57/hNKACU/EgNWoUNHop8YbJM5rJjtex/jd7D8mg0ogrOEJhPAGI5i1IHazlYgGOZ26sTkSQgsFiDRWY4pJxqCCZrai6WA0qrjMBjyhCBFdx2JScZqNePxhwrrOb0d0ZGjHRPbUeNF0ndxEBwrw6dYKShv8mBWNT5d8jNmokN57OA6rkdHDhvBaajrJGdnEq82DmobkxmMzJx/+IgghhBBtQIJOcVIpLi7m1VdfxWw286c//YmkpCT8YY3KsBmzEVJdzaPAMzSdokov++p89OkQCzRnR2u9AfpnxbGlYAOf/uVGDPZYxv/+rzitRpqcLrIufhDiszEaDOjfDQhqHtsOkYhGjN2KCxOaBgZFwR/RSDYZmNQ9BYfZyKfbKrCbjfTKiCHhu/XYzxqYSbnbz7P/fJbHb7mO7r36cMXfRpLktGAwqDz+78+x2R34QxGqGgN4ApHm0e5CCCFEOyK/mcQJraSkhD179jB69GgARowazSXX3EiH/qN5fWMduYkBYq1mwhENq8lAoz9IpTtARaMPTYcaT4DlO6vJTXZQ3xQkGIywtayRxopGynZswGAy466vodEWg9VkID6rC42+ME6rAY8/gg4cGKlnUBX8IY2sBBs5iQ6SnVYy4qwMyU3gPxvLWFFYjaIoaLrOf74sQClcwXmTxjFmzBg6xNm49tJf88+/PcDIUaMgEiIYMWM2qtjsDgCCYQ2jQcVkkFkmhBBCtD8SdIoT1rJly8jPzyclJYWdO3diNltY+O1+nMN/Ta2uUV3WwLdFdSTHmLEYDQSDGltK3ZQ1+InoOmYV4mwmvNX7WfTOWzjjEugx6RL84QjxGTmMvPR2YrsMoldeJvE2M75QGKMCXxfVYVRVXBbwBCJEvos6VVXBZFCxm00oikr3DBen5CbyxY5KdlQ00jnFicnQPLbv5UceZe2iV9lfuJkxY8YAkJCQQHFxMYqi8N+NZWwrd9MxyYHJoBIMa5S7/fTpECsTtAshhGiXJOgUJ5TvDxA69dRTSUlJoUuXLlRXV+MzxfLVnlribM2jwf3hCLEOI9vLGvEGQ1Q1BvH6IygqWEwqwbCOJxjGXrWXkpXvYrbHMOnXc4h12XD7w4w+81xqvUEqGwPkJjno6HAwpX8HnlpayMrCGsIoGA0KaDpWk4G8ZAfdU2PoEG9jYG4CA7LiMBoUFv73Q9Z/+h4Jl1xHalYeAKdNPpeyXVvoP+JXLc7vwOpIIzon4Q9FKK5pQgdURSEvycmwvKRjer2FEEKIIyXzdCLzdJ4IamtreeCBB9i2bRvvvfdetLyiooLU1FQAPtlSwVvflGA3G2hoCuILhdlf76fK7ac5TlXw+vw0bfkcR2wCqX1GoioQiUSo/Ojv5J1yBuN+NQ5FUQhrGk3BCMlOK4FwmIuH5pIWa8NsVAmFNd5dv4+l26sIRXS6pDronxVPVrwdo0ElNcaCy9o8qtwfitBn+DgKv/mC/JlXcuYl1wPNwfP2Cg+XjMhlcG7CIc85EI40T8sUDOO0GMmMt2M2yixoQggh2ifJdIrjgqbpaLqO0XDooKqxsZFHHnmEUCjE119/TVa3Puyv82E2WogJRrCZDRgMCt5AGIMK1Z4AlW4/jYEIIa15GiMNHc/6D6n77Fkak3NJ6TWCgKYT1qDHeTeSHmsjGNawmAwoKKCDNxgm1WUhPc4W7Ro3GVXOG5zN2QOzCIQjWI0GVFUhFArx6KOP8s477/DJJ5/gcrmwmgxMnXExH8el0mdkfvR8KtwB4uwmchIdh70mFqOBzinOo3uhhRBCiFYiQado15qCYVbvqmFdST2BsEaXFCfDOyfhVIKsXr2a8ePHA80Tn8+fP58uXbqyz5DOW4u30+gLo6gKGbFWzh+SRU6CHZNBocodoNoTQDWo+Eq3EFHNGBJzAHD2OR3PxiU4ev+KmkYfRpOJiKYTjmjkJTkorvOR7DITCGmENR2zQWNgdnw04Pw+g6pgNaqoanN3v9Fo5Nlnn2XHjh0sWLCAWbNmAXDTnJkk9hxOSW0TRdVeAmENi0llcp90kl2WY3SlhRBCiNYl3etI93p7FY5ovL6mmLVFdcRYTZgMCjXeELZALU/PPRefr4ldu3bRoUOH6GdWFVbz8uq9JNhNJDrMhDWdopomkl0Wfn96F579Yjfvr99PtTdI7co3qV76MvZuI0iZPi86yvzAc6EqYDGq2C0qGbF2RnROojEQprTehwJ0THIwqmsyIzsnHZSBLS0t5ZZbbqGgoIB169ZFnzN99dVXaWpq4rzzziM+Pj66f7UnwNq9dRRVe4m1meibGUePdFf0c0IIIcTxTjKdot0qrPJQsK+BnEQ7NpMBRVFIcJjZtD9MWm5nlICHsrKyFkHnV3tqMKkKSc7mDKHJoJCX5KCwysPCL7dTUl6Hoijomo6t8ymw/F8oZhuarqEozYHjgUBPA1w2I2O6ptDQFMRlMzK+dyr+kIbTYiQ70UGs7X8r/ni9XhyO5u7wmJgYFi5ciNfrZc2aNZxyyikAXHTRRYc81ySnhfG90o76NRRCCCHaCwk6RbtV3uDH7w/w5dK3+ebzRVz05xeoD2jU+UIM+u3d3Dh1CL2z4lt8pr4phM3UvHyQpunU+ULUeAJ8+s6LPPvhc2SOOofs/NloOlhTcsm8+hUMNtchv1+heY5NVVW+GwBkZUD2wYN6Vq1axVVXXUVGRgYffPABAE6nkyeffJJu3boxZMiQo3pdhBBCiOORBJ2i3bIYDWhahI9ffwZ3bRVLP1hIr9OmogLxScl8W9KArqgMzPlf4JnssrBsexWNviDl7ia8QZ0abxCfKQ4t5MdTshWPP4ymN6+DfriA8wB3U4gvdlQxICuOLinN+3q9Xnw+H0lJzdMTJScns2HDBnbu3Inb7Y4+onHgmU0hhBBCNK/QJ0S7EQqFWLRoEQBdU52kJ8YycubvOe3S2+gxchIAiqrQKyOWeLuJwkoPjf4QRdUeFm8up6EpxJYVH/HCTeeyavH77K3x0ugPkztwNN0vfYi8i+9D0xX0I3hU8rspManxBEiLtdIrI4ann36a1NRU7rnnnuh+Xbp04a233qKkpESeCRZCCCEOQzKdot0IBAL07duXHTt2sHLlSoYPH860/h0IhqexYV891U0RjGqEJJeZBl8IbyBCSZ2Xf39bzL46P95AGKOqUFuxj0BVMQ3rPsbRcxygE9LA1bEP7qYgiqLyU8PnVMCogMG9j4g1gZxEB0aDSlZWFl6vl6+++qrF/uedd16rXRchhBDiRCBBp2g3LBYLo0ePpr6+noqKCgB6d4glyWXmsU92sKe6qXl+zUY/lY1BHBYDy1eupurLBSQPnY6S2pWwBsZeZxCvG3H1PR3tu2PXekMku8zoSvMa5T9FUaDyvw9Tv/EzMiddTe5lzWu35+fns2LFCoYPH95al0EIIYQ4IUn3umgTuq7z1ltvMWTIkGiACXD//feze/duzjrrrGiZP6hR5Q6wtbSB4tomyhv8bNpfz1e7qqn46r80bvmCii/f5UAsabDFEDNkGorFwYFe9LAOIQ3iHRaMzeOM+H4Puxby4926HF2LAGA2qlhSO4NqxB5xM+i7VYFMJhMjRoyQqYyEEEKIn0mCTtFmHn74Yb755hsefvjhaFliYiIOh4OIplPh9lFY4eY/G/ezu8ZLxOfBvfodVH8DAP4wxAyZirP36cSdeu4hf5i/34vuCYTQIhpmQ3PAqAKqAugapc9dTfX7DxDcuxGrEYwGheRB4xly65v89f75OC3SKSCEEEL8EvKbVLSacETDG4wQjmgYFIWVyz5lfP4ZoKis3FVN/7OvxNF5MDnjZrKt3E33tOZBOBVuP59srWDz/gY8gTCb9zfQ4AtR8s59NOxehxIJkX36xfhDQcwpeSSdORcd+LFOc6MKmXF2nBYj/soi1q3/Emf/SRhUcJiMxHQejGfXWuJMEfplxZPktGA1G4i1mhjSMfGYXC8hhBDiRCZBp2gVgXCE8gY/Hn8YRYGrZ1/A0iUf8cgT/6C2wzBWFtaAMYekUV0oqApR8XUx5w/OIivBzoebythQXEvFtm/oPXAoGzSdpmCEmAHj8XsbUBKz8IUiqApE9JbZzMOJtZmId5ixRzy8d8/FoOtk9D6VoCmZsKbTIf8yHM7fkx5rY1jnJLIT7BTVNJEdb5elKIUQQoijQIJO0SrqvCE8gTBxdhOKojBq9BhWr/iC/6zZQaCxEw6LEYfFSI0nSHVjkF1VXoqqvAzvksSuikbenX81RRu/YtatD9Gpy0jK6n2onYaT1XUECgreYARdb+4iV74LPg8SDuAv/IpIUwNdJlxIUzCM1RFLdt/hGI1GOiaYcaUl4vaHGJgdR2m9H7cviNsXYnell+QYC8M6JWJQ5flNIYQQ4peSoFMcdUuXfcG8227nljvu5pQhzcs/zrpkDj1GTuL1TW4ivhAOswFN0/GHItT7QhgDbjz+BPbWeInokNCpP6U7N+Gur6Ory4LRqBDRVFSleQCQAhgMkBJjAV2h0R9q7srXwKCC3WQgWL2Hve89iNHq4Or7/sCyXY3E202c9vhLBMI628rcVHuDpDgtpMVYcVpMpLjMdEp24rCYyEmyE2M1/ei5CiGEEOLItOuBRPPnz2fIkCG4XC5SUlKYPn0627dvb7HP7NmzURSlxWvo0KFtVGMB8Pzzz7F65Rf87S/34w2G0TQdm91OxBpDQ1OQak+AHZUeCis9VDUG2P/uX9nw4IX4SneSGmul0RdC7zmeAbf8i2C3fAorPcRYzGTEW4l3WLBbjWTG28lJtBNntzCqazL94gM4N/0b6+6lpLis5CY56DXgVNK6D+TXl1zOmE4JjOqSRFjTCUXAaTWSGmPFalTpEG8jwWHmjJ6pnD8km6GdkuiTGSsBpxBCCHEUtetM57Jly7j66qsZMmQI4XCY2267jfz8fLZs2YLD4YjuN2HCBF544YXoe7PZ3BbVPaHtrfHy0aYyVu2qQQEG5iTwm6E5xDvMrF27lpycnOiykNfdeAvlngj5M69ge5kbq8lAnN3EhuJ6Khp8RDQd1aCiaToRHSIRDXSNcPF6bAMGEdI0UKwYDQYa/UFK6yOENJ0R2Ql0SXbhC2vUNzV3yTfXJR62f8bL/3mBrE5dmXHRxTgsJjLj7fzli2XkJTsBOMPmRFWU5mDXE8BlMfLroTkMzUvEZjKgSje6EEII0WoUXf+ptVnaj6qqKlJSUli2bBmjRzdP1j179mzq6+t59913/7+P63a7iY2NpaGhQZYxPIQ91V7mf7iVDSX1hMIamg6artMxyYGr4G1ee+Yxpv7mCubdeQ/BsMaCdfvYV9uEPxzBqqqE0an1hCiv91C16t94C5aQN/shNGsMYQ2CtfuJMUY4Y9RQ9lR72VvjJdZuRNOan9d0WIxUewL0zIhlUFY8W9cs4/N3XyNn2BTOO2c6qTFWvI1uHv3T9Yw78ywuuegCuqTFHvZ8Khv9+IIR4mxmYu2SzRRCCCGOhXad6fyhhobm+RkTEhJalC9dupSUlBTi4uIYM2YM9957LykpKYc9TiAQIBAIRN+73e7WqfAJ4qNNZWze34CuQ4LDgkFV8Ici7Kz0EPGlgKKwqaic+R9spc4bQFUVIjrUewN4AxoqYDIoBDSVpp1fEqoro+LbxSQNPxdVAVtSJh2SbKgK1DUFsJoM5CW7CIUjxNrMZCXY2FDSgFFRWVdSz9rly9ixZhmxDisXPngdbl+YBp+LV15/m0SnmQTHj2e6U1zWY3PhhBBCCBF13GQ6dV1n2rRp1NXVsXz58mj5m2++idPpJCcnhz179nD77bcTDodZu3YtFsuhp7q58847ueuuuw4ql0znwTRN5/JXv2FDSQN6fSn7PnuF5B5DSer/K0pqvRgNCj0dPnLzOrGj3M3OKg8Wg4rdbKB8y1fUbviMuIlzUdTmZYB8u9cSaarH0X00ZpOJWJuBppBOSowVh8VAfVMIq0mlY6ITVVXYvfglvl2ygBFXP0if3r1pCmpUFe+i7Nsl3HDlZUweM6SNr5AQQgghjsRxk+m85ppr2LhxIytWrGhRPmPGjOi/e/fuzeDBg8nJyWHRokWcffbZhzzWvHnzuOGGG6Lv3W43WVlZrVPx45yigFFViWg69ZuXU/7tJ7hLtmHtNpKw1jyKvEyPo3x3DfXeIOGQjq5rOE06Je8+RMRbjznvFBw9RgFgyxsUPXZYB08gQsdkJxeekkOl209JVR276kIEIxHyEpys3L2FuspSdq76mNOGDmZAgh06J1E2qC8lukqF209qjGQuhRBCiPbuuAg6r732Wt5//32++OILMjMzf3Tf9PR0cnJy2Llz52H3sVgsh82Civ/Zu3cv4XCYcd2S+aaolvghU0mv2Ev6yHOoaQqjA2FNp6oxQKSxksYda3AMmEQ4rNOkGYk/9WxCjTVYMrod8vg6YDAYmNo/g7P7JjFz5q/5fOnnPLRgJTvrNCrcAbqf8WsyB51On2Hj6Jj0v8FjmfF2dlQ0srvSI0GnEEIIcRxo10Gnrutce+21LFy4kKVLl9KxY8ef/ExNTQ0lJSWkp6cfgxqeuF566SXmzJnDxIkT+ddb/2blrhqW7qjCNWEutRGdAw9laECkqZGSpy9HDwcxZXTHnJpHMBgmecQ5BEJ6i4nbFUBVm++t1lhDl+55pMZYcTgc7NpViKexkYT67fxh/GT21/uw/qoLu6sa2V7uOaiOJoNKYyB8TK6HEEIIIX6Zdj1P59VXX82rr77Kv/71L1wuF+Xl5ZSXl+Pz+QDweDzcdNNNfPnllxQVFbF06VKmTJlCUlISZ511VhvX/vg2dOhQIpEIXq8Xgx7mwXP7MrZrMiajAVULEyr733ypitWJrctQrDl9UWgeOOQL6ZgNBuxmw0E/ZFp1MfuenkPpa7eQHmsh0WFFURSefPJJNm/ezLnnnktKjJUB2fH0SI8hPc5OIKyhaf+LXjVNJxTRZIlKIYQQ4jjRrjOdTz31FACnnXZai/IXXniB2bNnYzAYKCgo4OWXX6a+vp709HTGjh3Lm2++icvlaoMaH5+qqqp48MEHiY+P59ZbbwWgW7dubN68me7duwPQ0BTCH9bo7AjwwaOXEW5yk3nVi6i25oFXSWdej2ow4TCr2MxGfKEI6XE2HGYjDfU1VFVW02RPQdfAmJhBxOdGRcfmqyYvuTdw8H0+oHOKk03xNgqrPM1Bpg5VngAZcTY6pThb/wIJIYQQ4hc7bkavt6aTfZ7OhQsXcvbZZ+N0OikuLiY+Pr7FdrfbTVVA5c73NxNrNfDcTRcQaqwl5ax5mDv0BL5LmSvgtBhwWEz0z4qjd0YMO1Yv5sk7riet2wBGXfcIRoOK1WjAU7IFV0ZnzhqSx+k9UzEZfjzpXtUYYE1RLcW1TQDkJNoZnJMgmU4hhBDiONGuM52iddTX11NSUkKfPn0AmD59OrNnz+a8884jZLBR8l1gt27LTu6+5feUlexhzfrN2E0GapvC5J7/R0LWeHTViK43P9epA4qu4y7aTHanTH59al92VXlIzOlBJBwi7GskzWkkOzkWXzCCP3Yg/bLjGNc95ScDToBkl4VJfdLxfvcMp8MiP7pCCCHE8UQynZxcmc7ly5czdepU0tPTKSgowGBonj/TGwizpqiWktomimubWL2rhsamJr68ZwahpkaueuhVqh25bCl1Ewg1L0up682DgiwGBavJSMmHT1O9eiHnXHQJb7/8LFWeAJXuAHt376ZXj640+kMU1zZhUBVykxzkJTkxG9v1Y8VCCCGEOEokXXSS6du3L4qioCgKpaWlZGVloes6i9du4+nHH6OuYh8xZ95MZaMfk0El79ybSc/tzMZQMpHaJjrE26jxBKiuqcW9ZTkx3YZhTUpGAToNGEHjho/pkOBEURRSXFZSXFZ6dxgQ/f4+mXFtdu5CCCGEaDsSdJ6gNE3ny52lPPrYk+zbu4cb73qQYZ2S6BAXy8qVK+natWs0y1nfFKK4soFP3noOTdPo1nMaHXK7oSs6Mb2Hoek6tZ4gsTYjPdNjCWsar7/0B2p3bsBh0OjddxZ9M2MZ33MwuQ9cjsslg3uEEEII0ZIEnSeoDwrKePWjVbzz1P2g67w2dArre/XhslF5dOrUiTfeeIOKigpuuOEGghGNmKQMLrjiRnZHkgildMRgUNB0CEc0AqXbKV39Cc7Jl6PpOnazkf5jzmRdwEeH9FTmTepBj/QT+7EEIYQQQvwy8kwnJ84zncFgkIKCAjK79OIvH2/DqKqsfv1RUrI7MehXUyms9nNqXiKdwnsZN24cdrudffv2Yba7WFRQitcf4aPN5eyr82FUQVUVFD3CyrvPI+ipp/use5k6ZTKqoqBFIlR7QxhUhQfO6Uu8w9zWpy+EEEKIdkwynSeIoqIixo4dS11dHY+/t4JtZY0kOEz0OecalNp97Nm0lqQuA9lZ6eHCySMZP348I0eORFVVHBYj3VJjWL65mP2r/0vR9s1knHk16BBrM5E8aCL++kriklIob/Djshpp9IdpCoQ5e1CmBJxCCCGE+EmS6eTEyHRqmka/fv0orajklMvupdqRi8tioGrTSja9dDsJaVnMfvRdrGYTf5rSE4vR0OLzEU1n1aZCxgzojq5pDLvlFewpmYTCGjF2MzMGZxJjNfHJ1krc/hAuq5Fx3VKY3C/jiKY8EkIIIcTJTTKdxyFN03j77bd5++13eP2NN5qXplRVnnvldV5ZW02Dx4NRteAPRejY91S2O+JwduhMRVUt04d1w2I0UFhYyN/+9jdMJhMPP/wwBlVhVN8uXHXVVVhjk+kyujeNuo1kl4VBOfH07hALQH6vNNy+EDE2E1aT4SdqKoQQQgjRTDKdHH+ZztKKarp1ycPT2MiN9z/F+eefR7fUGJ597S1unXsFHXsOYMotj7N5vxtfKEyTx4vJamNq/wx+N7oTcXYzq1atYsSIETgcDioqKnA4HG19WkIIIYQ4gUmm8zig6zrffvstHTr34puiWjbsq2f4eZfjMkToPvBUNpQ0UOkOkJHXhaDPS01ZCfGmCEPzEqhsDLBp9Xq2L34Fz4VnEzfhjwAMGzaM6667jokTJ2KxyFKSQgghhGhdkumkfWc6/X4/Y8aMYc2aNZxz7+v4nRnUN4Xw7d1A8Uf/ZNiw4Vx72z3sqfbSIz2GZ/69hPjMTnRIcGAwmohoOv9953WWP3c3PXr0YMuWLW19SkIIIYQ4CckIkHbOarWSkp6BwWShbM8O0mObn7N0mlSq9mzl00ULiYRD2M0GAmENc8Um/nn1RD5e9F92VXnYUdHImPzJ3Hbnn/n444/b+nSEEEIIcZKS7vV25osvvuChhx7ilVdeiWZdR0+dyYb9XmKMEYwGBXTI6TuUXufOJbvXIAxGE8FIGJvJQIoNfO46Aru+YuAF55OT6GBQTjwJ5w9p4zMTQgghxMlMgs52RNM0Lr/8crZt28bf/vY3br/9dgB2F+6g5JsleEt30GPMVExGlaZgmKrNX7L5nUcZ2+VDUjp2JyvBzu9+9ztGjhxJfn4+RqPcXiGEEEK0D9K93sY2btzIgcdqVVXl1ltvZeTIkfTu3Tu6z6WX/JbcoePpP3kWFpORlBgLqqoQMTYPANq6fg2DcuLIjLeRm5vLpEmTJOAUQgghRLsiQWcbuuiii+jXrx/vvfdetGzdunWsWLGC559/PlqW6TRQs30tS5+7j50l5XgDEQJhnTEXXstbn3/LI3f9H707xKEoSluchhBCCCHET5Kgsw3l5OSgqirLly+Pll155ZV07tyZLl26RDOgaWmp5GZm4IqNxd5UQYzVxOS+6Tw0ZyLnnTaAWLuprU5BCCGEEOKISNB5jGzfvp2ZM2eyffv2aFlFRQWaprXYb//+/RQWFvL222/z/dms3nvvXarKy3hp3m949IL+XDYqj9wkmdBdCCGEEMcHCTqPkZtvvpnXX3+dP/3pT9GyadOmYTab2bdvX7Rs6NChxMfHk5eXR1VVVbS8Y8eOmEyS0RRCCCHE8UlGmxwjKSkpqKpK165do2Xbtm0jGAxSWVkZLbNarezevZu4uLg2qKUQQgghROuQTOcxkpmZiaZprF27Nlo2Y8YMUlJS6Nu3b4tudgk4hRBCCHGikUznMbJjxw6gOfg8IDs7m9LSUgwGQ1tVSwghhBDimJCg8xi57LLLKC4uZsyYMS3KJeAUQgghxMlA0b8/RPok5Xa7iY2NpaGhIbr0pBBCCCGEOHrkmU4hhBBCCNHqTpig8+9//zsdO3bEarUyaNCgFhOuCyGEEEKItnVCBJ1vvvkmc+fO5bbbbmPdunWMGjWKiRMnUlxc3NZVE0IIIYQQnCDPdJ566qkMHDiQp556KlrWo0cPpk+fzvz583/y8/JMpxBCCCFE6zruM53BYJC1a9eSn5/fojw/P59Vq1Yd8jOBQAC3293iJYQQQgghWs9xH3RWV1cTiURITU1tUZ6amkp5efkhPzN//nxiY2Ojr6ysrGNRVSGEEEKIk9ZxH3QeoChKi/e6rh9UdsC8efNoaGiIvkpKSo5FFYUQQgghTlrH/eTwSUlJGAyGg7KalZWVB2U/D7BYLFgslmNRPSGEEEIIwQmQ6TSbzQwaNIglS5a0KF+yZAnDhw9vo1oJIYQQQojvO+4znQA33HADv/nNbxg8eDDDhg3jmWeeobi4mCuuuKKtqyaEEEIIIThBgs4ZM2ZQU1PD3XffTVlZGb179+aDDz4gJyfniD5/YNYoGcUuhBBCiGPF5XIddvzJieiEmKfzl9q3b5+MYBdCCCHEMXWyzQ8uQSegaRqlpaXRvzjcbjdZWVmUlJScVD8MxwO5N+2X3Jv2Se5L+yX3pv06VvfmZMt0nhDd67+UqqpkZmYeVB4TEyP/EbRTcm/aL7k37ZPcl/ZL7k37Jffm6DruR68LIYQQQoj2T4JOIYQQQgjR6iToPASLxcIdd9whE8i3Q3Jv2i+5N+2T3Jf2S+5N+yX3pnXIQCIhhBBCCNHqJNMphBBCCCFanQSdQgghhBCi1UnQKYQQQgghWp0EnUIIIYQQotVJ0PkDf//73+nYsSNWq5VBgwaxfPnytq7SSe/OO+9EUZQWr7S0tLau1knpiy++YMqUKWRkZKAoCu+++26L7bquc+edd5KRkYHNZuO0005j8+bNbVPZk8xP3ZvZs2cf1I6GDh3aNpU9icyfP58hQ4bgcrlISUlh+vTpbN++vcU+0m7axpHcG2k3R5cEnd/z5ptvMnfuXG677TbWrVvHqFGjmDhxIsXFxW1dtZNer169KCsri74KCgraukonJa/XS79+/XjiiScOuf3BBx/k4Ycf5oknnmDNmjWkpaVxxhln0NjYeIxrevL5qXsDMGHChBbt6IMPPjiGNTw5LVu2jKuvvprVq1ezZMkSwuEw+fn5eL3e6D7SbtrGkdwbkHZzVOki6pRTTtGvuOKKFmXdu3fX/+///q+NaiR0XdfvuOMOvV+/fm1dDfEDgL5w4cLoe03T9LS0NP3++++Plvn9fj02NlZ/+umn26CGJ68f3htd1/VZs2bp06ZNa5P6iP+prKzUAX3ZsmW6rku7aU9+eG90XdrN0SaZzu8Eg0HWrl1Lfn5+i/L8/HxWrVrVRrUSB+zcuZOMjAw6duzIBRdcwO7du9u6SuIH9uzZQ3l5eYs2ZLFYGDNmjLShdmLp0qWkpKTQtWtX5syZQ2VlZVtX6aTT0NAAQEJCAiDtpj354b05QNrN0SNB53eqq6uJRCKkpqa2KE9NTaW8vLyNaiUATj31VF5++WU+/vhj/vnPf1JeXs7w4cOpqalp66qJ7znQTqQNtU8TJ07ktdde47PPPuOhhx5izZo1jBs3jkAg0NZVO2nous4NN9zAyJEj6d27NyDtpr041L0BaTdHm7GtK9DeKIrS4r2u6weViWNr4sSJ0X/36dOHYcOG0alTJ1566SVuuOGGNqyZOBRpQ+3TjBkzov/u3bs3gwcPJicnh0WLFnH22We3Yc1OHtdccw0bN25kxYoVB22TdtO2DndvpN0cXZLp/E5SUhIGg+GgvywrKysP+gtUtC2Hw0GfPn3YuXNnW1dFfM+BGQWkDR0f0tPTycnJkXZ0jFx77bW8//77fP7552RmZkbLpd20vcPdm0ORdvPLSND5HbPZzKBBg1iyZEmL8iVLljB8+PA2qpU4lEAgwNatW0lPT2/rqojv6dixI2lpaS3aUDAYZNmyZdKG2qGamhpKSkqkHbUyXde55pprWLBgAZ999hkdO3ZssV3aTdv5qXtzKNJufhnpXv+eG264gd/85jcMHjyYYcOG8cwzz1BcXMwVV1zR1lU7qd10001MmTKF7OxsKisrueeee3C73cyaNautq3bS8Xg8FBYWRt/v2bOH9evXk5CQQHZ2NnPnzuW+++6jS5cudOnShfvuuw+73c7MmTPbsNYnhx+7NwkJCdx5552cc845pKenU1RUxK233kpSUhJnnXVWG9b6xHf11Vfzr3/9i/feew+XyxXNaMbGxmKz2VAURdpNG/mpe+PxeKTdHG1tOHK+XXryySf1nJwc3Ww26wMHDmwxdYJoGzNmzNDT09N1k8mkZ2Rk6Geffba+efPmtq7WSenzzz/XgYNes2bN0nW9efqXO+64Q09LS9MtFos+evRovaCgoG0rfZL4sXvT1NSk5+fn68nJybrJZNKzs7P1WbNm6cXFxW1d7RPeoe4JoL/wwgvRfaTdtI2fujfSbo4+Rdd1/VgGuUIIIYQQ4uQjz3QKIYQQQohWJ0GnEEIIIYRodRJ0CiGEEEKIVidBpxBCCCGEaHUSdAohhBBCiFYnQacQQgghhGh1EnQKIYQQQohWJ0GnEEIIIYRodRJ0CiGOG4qi8O6777Z1NVpFMBikc+fOrFy5EoCioiIURWH9+vVH9XueeOIJpk6delSPKYQQR0KCTiFEm5o9ezaKoqAoCiaTidTUVM444wyef/55NE1rsW9ZWRkTJ048ouMebwHqM888Q05ODiNGjGjV75kzZw5r1qxhxYoVrfo9QgjxQxJ0CiHa3IQJEygrK6OoqIgPP/yQsWPH8vvf/57JkycTDoej+6WlpWGxWNqwpq3n8ccf57LLLmv177FYLMycOZPHH3+81b9LCCG+T4JOIUSbs1gspKWl0aFDBwYOHMitt97Ke++9x4cffsiLL74Y3e/72ctgMMg111xDeno6VquV3Nxc5s+fD0Bubi4AZ511FoqiRN/v2rWLadOmkZqaitPpZMiQIXzyySct6pKbm8t9993HJZdcgsvlIjs7m2eeeabFPvv27eOCCy4gISEBh8PB4MGD+eqrr6Lb//Of/zBo0CCsVit5eXncddddLYLnH/r2228pLCzkzDPPPOw+mqYxZ84cunbtyt69e6PX4x//+AeTJ0/GbrfTo0cPvvzySwoLCznttNNwOBwMGzaMXbt2tTjW1KlTeffdd/H5fIf9PiGEONok6BRCtEvjxo2jX79+LFiw4JDbH3vsMd5//33eeusttm/fzquvvhoNLtesWQPACy+8QFlZWfS9x+Nh0qRJfPLJJ6xbt47x48czZcoUiouLWxz7oYceYvDgwaxbt46rrrqKK6+8km3btkWPMWbMGEpLS3n//ffZsGEDN998c/RRgI8//piLLrqI6667ji1btvCPf/yDF198kXvvvfew5/rFF1/QtWtXYmJiDrk9GAxy/vnn880337BixQpycnKi2/785z9z8cUXs379erp3787MmTO5/PLLmTdvHt988w0A11xzTYvjDR48mFAoxNdff33YOgkhxFGnCyFEG5o1a5Y+bdq0Q26bMWOG3qNHj+h7QF+4cKGu67p+7bXX6uPGjdM1TTvkZ7+/74/p2bOn/vjjj0ff5+Tk6BdddFH0vaZpekpKiv7UU0/puq7r//jHP3SXy6XX1NQc8nijRo3S77vvvhZlr7zyip6enn7YOvz+97/Xx40b16Jsz549OqAvX75cP/300/URI0bo9fX1B53jH//4x+j7L7/8Ugf05557Llr2+uuv61ar9aDvjI+P11988cXD1kkIIY42yXQKIdotXddRFOWQ22bPns369evp1q0b1113HYsXL/7J43m9Xm6++WZ69uxJXFwcTqeTbdu2HZTp7Nu3b/TfiqKQlpZGZWUlAOvXr2fAgAEkJCQc8jvWrl3L3XffjdPpjL7mzJlDWVkZTU1Nh/yMz+fDarUectuFF16Ix+Nh8eLFxMbGHrT9+3VNTU0FoE+fPi3K/H4/bre7xedsNtth6yOEEK1Bgk4hRLu1detWOnbseMhtAwcOZM+ePfz5z3/G5/Nx/vnnc+655/7o8f7whz/w73//m3vvvZfly5ezfv16+vTpQzAYbLGfyWRq8V5RlGj3uc1m+9Hv0DSNu+66i/Xr10dfBQUF7Ny587CBZVJSEnV1dYfcNmnSJDZu3Mjq1asPuf37dT0QoB+q7IczAdTW1pKcnPyj5yKEEEeTsa0rIIQQh/LZZ59RUFDA9ddff9h9YmJimDFjBjNmzODcc89lwoQJ1NbWkpCQgMlkIhKJtNh/+fLlzJ49m7POOgtofj6zqKjoZ9Wrb9++PPvss9Hv+aGBAweyfft2OnfufMTHHDBgAE899dQhM7tXXnklvXv3ZurUqSxatIgxY8b8rPoeyq5du/D7/QwYMOAXH0sIIY6UBJ1CiDYXCAQoLy8nEolQUVHBRx99xPz585k8eTIXX3zxIT/zyCOPkJ6eTv/+/VFVlbfffpu0tDTi4uKA5lHon376KSNGjMBisRAfH0/nzp1ZsGABU6ZMQVEUbr/99oMygD/lwgsv5L777mP69OnMnz+f9PR01q1bR0ZGBsOGDeNPf/oTkydPJisri/POOw9VVdm4cSMFBQXcc889hzzm2LFj8Xq9bN68md69ex+0/dprryUSiTB58mQ+/PBDRo4c+bPq/EPLly8nLy+PTp06/aLjCCHEzyHd60KINvfRRx+Rnp5Obm4uEyZM4PPPP+exxx7jvffew2AwHPIzTqeTBx54gMGDBzNkyBCKior44IMPUNXm/9YeeughlixZQlZWVjSj98gjjxAfH8/w4cOZMmUK48ePZ+DAgT+rrmazmcWLF5OSksKkSZPo06cP999/f7Se48eP57///S9LlixhyJAhDB06lIcffrjFiPMfSkxM5Oyzz+a111477D5z587lrrvuYtKkSaxatepn1fmHXn/9debMmfOLjiGEED+Xouu63taVEEKIk11BQQGnn346hYWFuFyuVvueTZs28atf/YodO3YccmCSEEK0Fsl0CiFEO9CnTx8efPDBn/2M6c9VWlrKyy+/LAGnEOKYk0ynEEIIIYRodZLpFEIIIYQQrU6CTiGEEEII0eok6BRCCCGEEK1Ogk4hhBBCCNHqJOgUQgghhBCtToJOIYQQQgjR6iToFEIIIYQQrU6CTiGEEEII0eok6BRCCCGEEK3u/wE0F0Q17pphPwAAAABJRU5ErkJggg==", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -425,7 +393,7 @@ } ], "source": [ - "f, (ax2, ax) = plt.subplots(nrows=2, figsize = (7,6), sharex = True,\n", + "f, (ax2, ax) = plt.subplots(nrows=2, figsize = (5,5), sharex = True,\n", " gridspec_kw = dict(height_ratios = (1,2)))\n", "\n", "ax.set(ylabel = \"Moving Time (mins)\", xlabel = \"Distance (km)\")\n", @@ -452,227 +420,7 @@ }, { "cell_type": "code", - "execution_count": 59, - "id": "32000476-0a5a-4059-bbcf-234d3e0a8deb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "f, ax = plt.subplots()\n", - "ax.set(ylabel = \"Elapsed Time (mins)\", xlabel = \"Distance (km)\", ylim = (0, 175))\n", - "\n", - "dists = np.linspace(1, 25, 2)\n", - "for i in [5,6,7]:\n", - " mins_per_km = i * dists\n", - " ax.plot(dists, mins_per_km, color = \"black\", linestyle = \"dotted\", label = f\"{i} min/km\")\n", - "\n", - "ax.scatter(y = runs[\"Elapsed time\"]/60, x = runs[\"Distance (m)\"]/1e3, s=20, alpha = 0.6*fade_out_by_date(runs[\"Date\"]))\n", - "\n", - "ax.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "ab8a145c-f38d-4645-ae8c-e8228a7e9a8c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "\n", - "script = \"\"\"\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\"\"\"\n", - "\n", - "from IPython.display import display, HTML\n", - "HTML(script)" - ] - }, - { - "cell_type": "code", - "execution_count": 219, + "execution_count": 24, "id": "bd19b6de-bdde-40bd-a344-0cd3cbd76f80", "metadata": {}, "outputs": [ @@ -707,7 +455,7 @@ }, { "cell_type": "code", - "execution_count": 234, + "execution_count": 27, "id": "887f7db8-d9b7-47ad-9bb2-538bf1c475e6", "metadata": {}, "outputs": [ @@ -730,7 +478,7 @@ "y = runs[\"Moving time\"].values/60\n", "\n", "\n", - "for i, row in list(vdot_table.iterrows())[:-1:3]:\n", + "for i, row in list(vdot_table.iterrows())[::3]:\n", " vdot, *times = row[:-1]\n", " ax.plot(table_dists[:-1], times, color = \"black\", linestyle = \"dotted\", label = f\"{i} min/km\")\n", " ax.text(22.5, times[-1], f\"vdot= {vdot}\", va = \"center\")\n", @@ -739,14 +487,258 @@ "\n", "ax.scatter(x, y, s=20, alpha = 0.6*fade_out_by_date(runs[\"Date\"]))\n", "ax.spines[['right', 'top']].set_visible(False)\n", - "f.savefig(\"time_vs_distance.svg\", transparent=True)\n", - "f.savefig(\"time_vs_distance.png\", transparent=True)" + "# f.savefig(\"time_vs_distance.svg\", transparent=True)\n", + "# f.savefig(\"time_vs_distance.png\", transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "721822c4-c519-4715-ad9d-71bb8a0216e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "___Downloading Latest Data___\n", + "Getting activities: '/Users/math/HealthData/FitFiles/Activities' (25) temp /var/folders/kh/l7xgsyks5mz4b4q71_dngny40000gn/T/tmpeatj5nmp\n", + "100%|█████████████████████████████████████| 3/3 [00:01<00:00, 2.05activities/s]\n", + "Downloading latest monitoring data from: 2023-08-09 21:03:43\n", + "100%|█████████████████████████████████████████| 15/15 [00:19<00:00, 1.29s/days]\n", + "100%|█████████████████████████████████████████| 15/15 [00:19<00:00, 1.30s/days]\n", + "100%|█████████████████████████████████████████| 16/16 [00:27<00:00, 1.72s/days]\n", + "Downloading latest sleep data from: 2023-08-10\n", + "100%|█████████████████████████████████████████| 14/14 [00:20<00:00, 1.43s/days]\n", + "Downloading latest weight data from: 2023-07-27\n", + "100%|█████████████████████████████████████████| 28/28 [00:32<00:00, 1.15s/days]\n", + "Downloading latest rhr data from: 2023-08-09\n", + "100%|█████████████████████████████████████████| 15/15 [00:18<00:00, 1.24s/days]\n", + "___Importing Latest Data___\n", + "Processing profile data\n", + "100%|█████████████████████████████████████████| 1/1 [00:00<00:00, 103.89files/s]\n", + "Processing [] FIT data from /Users/math/HealthData/FitFiles\n", + "Processing weight data\n", + "100%|███████████████████████████████████████| 13/13 [00:00<00:00, 687.62files/s]\n", + "Processing daily summary data\n", + "100%|███████████████████████████████████████| 13/13 [00:00<00:00, 178.93files/s]\n", + "100%|███████████████████████████████████████| 13/13 [00:00<00:00, 561.70files/s]\n", + "Processing [] FIT data from /Users/math/HealthData/FitFiles/Monitoring\n", + "100%|██████████████████████████████████████| 126/126 [00:10<00:00, 12.23files/s]\n", + "Processing sleep data\n", + "100%|████████████████████████████████████████| 13/13 [00:00<00:00, 18.61files/s]\n", + "Processing rhr data\n", + "100%|███████████████████████████████████████| 13/13 [00:00<00:00, 670.83files/s]\n", + "Processing activities tcx data\n", + "Processing latest activities summary data from /Users/math/HealthData/FitFiles/Activities\n", + "100%|█████████████████████████████████████████| 1/1 [00:00<00:00, 180.11files/s]\n", + "Processing activities detail data\n", + "100%|█████████████████████████████████████████| 1/1 [00:00<00:00, 224.97files/s]\n", + "Processing [] FIT data from /Users/math/HealthData/FitFiles/Activities\n", + "100%|██████████████████████████████████████████| 1/1 [00:00<00:00, 2.48files/s]\n", + "___Analyzing Data___\n", + "Summary Tables Generation:\n", + "Generating table entries for 2023\n", + "100%|█████████████████████████████████████████| 27/27 [00:01<00:00, 26.72days/s]\n", + "100%|██████████████████████████████████████████| 3/3 [00:00<00:00, 611.36days/s]\n", + "100%|███████████████████████████████████████| 52/52 [00:00<00:00, 162.45weeks/s]\n", + "100%|█████████████████████████████████████████| 2/2 [00:00<00:00, 36.21months/s]\n", + "100%|███████████████████████████████████████| 1/1 [00:00<00:00, 1726.76months/s]\n" + ] + } + ], + "source": [ + "!garmindb_cli.py --all --download --import --analyze --latest" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "10e9e3df-d3cd-4705-98da-0a8df85302cc", + "metadata": {}, + "outputs": [], + "source": [ + "from garmindb import ConfigManager\n", + "from garmindb.garmindb import MonitoringDb, Monitoring, MonitoringHeartRate\n", + "import datetime\n", + "import numpy as np\n", + "\n", + "start_ts = datetime.date.today() - datetime.timedelta(days = 30)\n", + "end_ts = datetime.date.today()\n", + "\n", + "db_params = ConfigManager.get_db_params()\n", + "mon_db = MonitoringDb(db_params, False)\n", + "hr_data = MonitoringHeartRate.get_for_period(mon_db, start_ts, end_ts, MonitoringHeartRate)\n", + "data = Monitoring.get_for_period(mon_db, start_ts, end_ts, Monitoring)\n", + "\n", + "time = np.array([entry.timestamp for entry in hr_data])\n", + "hr = np.array([entry.heart_rate for entry in hr_data])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "4ba44ab5-7ef8-4674-9df7-b08b644d4075", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime(2023, 7, 27, 11, 36)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "time[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "88258010-921b-4952-a0de-0613c88bc62f", + "metadata": {}, + "outputs": [ + { + "data": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "r = hr\n", + "theta = pd.Series(time).dt.hour + pd.Series(time).dt.minute/60 \\\n", + " + pd.Series(time).dt.second/60**2\n", + "\n", + "theta = theta / 24 * 2*np.pi\n", + "\n", + "fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})\n", + "ax.scatter(theta, r, 1, alpha = 0.07)\n", + "ax.set(xticks = np.linspace(0,2*np.pi,24,endpoint=False), xticklabels = range(0,24))\n", + "ax.grid(True)\n", + "ax.set(xlabel = \"Hour of Day\", ylabel = \"Heart Rate (bpm)\")\n", + "ax.set_theta_direction(\"clockwise\")\n", + "ax.set_theta_zero_location(\"N\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "257082b8-de36-498f-a6c7-72df05c858e5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Text(0.5, 0, 'Hour of Day'), Text(0, 0.5, 'Heart Rate (bpm)')]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import scipy\n", + "hour = pd.Series(time).dt.hour + pd.Series(time).dt.minute/60 \\\n", + " + pd.Series(time).dt.second/60**2\n", + "\n", + "# theta = theta / 24 * 2*np.pi\n", + "\n", + "bins = np.linspace(0,24,24 * 5)\n", + "mean_hr, bins, bin_index = scipy.stats.binned_statistic(hour, hr, bins=bins)\n", + "bin_center = (bins[1:] + bins[:-1])/2\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.scatter(hour, hr, 1, alpha = 0.2)\n", + "ax.plot(bin_center, mean_hr)\n", + "\n", + "ax.grid(True)\n", + "ax.set(xlabel = \"Hour of Day\", ylabel = \"Heart Rate (bpm)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "459d3e7c-5a97-4cfb-97e3-78b15bec2e9e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Text(0.5, 0, 'Heart Rate (bpm)'), Text(0, 0.5, 'Frequency Density')]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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09fI2mUwkJCQMCM6VytGFI+FxqFSqUbV1DAf1p2b2nU4n1dXVOBwOVCoVJpMpEsCbTCaioqKGfA1cLhder5e4uLhRPaczWbBgAT//+c85ePAgzz//PDNnzmTZsmU88cQTbN++HYPBwDXXXNPvmJtvvpmcnBxSUlIoLy/n0Ucf5fDhw4N+MyFcmETALgiCIAgXkU8++YRHHnmEtrY2Hn/8cW699dYxLVMZSkxMDJIk0dPTQ2xsLKFQCIfDEQnMe3p6sNvtAJEANysri5iYGAwGwwW5wqdMJosE+4Nlm4PBIHa7PXIDcuzYMex2O0qlsl8QHxMTEwnirVYrcXFxo74JGa4ZM2bw+uuv8/Of/5zf/OY3kX7va9euHbAg01133RX5c0lJCfn5+cyePZsDBw4wc+bMcR2nMDZEwC4IgiAIF4HS0lIeffRRSktLeeSRR7j33nvHpD59uORyObGxsRw7dgxJkujo6AA+D85zcnIwmUwXbHA+GgqFgtjYWGJjYyPbwkF8+CalpqYmEsQnJyfjcDj6rWA73pKTk3nqqaeYM2cOV199NX/7299Qq9U8+eSTQ37jMnPmTFQqFTU1NSJgv0iIgF0QBEEQLmDHjh3jP//zP/nXv/7Fvffey1/+8pd+AeR4kiQJm81Ge3s7bW1t2Gw2lEolkyZNYvLkyV+o4Hy4hgribTYbbW1ttLS0YLfb6erqIiUlhZSUlHPyDcg777zDrFmzePvtt/nRj35EQUEB3/ve93jsscciHWbCKioq8Pv9pKamjvu4hLEhAnZBEARBuAC1tbXx5JNP8vrrr/PNb36TY8eOkZGRMe7XDQaDdHR0YDabMZvN+P1+kpOTyc3NRa/Xs3PnTnJycsa95ONiolAoIjXrjY2NLF26lPb2dtrb26moqCA6OjoSvMfGxo7oJsfpdFJbWxv5vb6+nkOHDhEXFxfJoNvtdv7617/yi1/8gtzcXN58800OHTrEo48+SnZ2NnPnzuWJJ54gMzOTo0eP8uCDDzJjxgwWLVo0ti+EMG7E/22CIAiCcAHp6enhueee4/nnn2fNmjUcOnSIwsLCcb2m1+ulvb0ds9mMxWJBrVaTkpLCjBkziI+PR6FQAH0Zd41GQ1dX11m3LfwiCq9uGh0dTXR0NLm5ufj9fiwWC2azmd27dyOXy0lOTiYlJYXExMQz3viUlpayYsWKyO8PPPAAALfeeiuvv/46AOvWrUOSJG688cbIftOnT+eDDz7gL3/5C9/61rdYtmwZcrmcrKwsrrjiCn7yk59E3lfhwicCdkEQBEG4ALjdbl544QWefvppZsyYwebNm5k7d+64XS8UCmE2m2loaKCjowOTyURKSgoFBQUYjcZBs8AymSzS3lEE7ANZrdYB34KoVCrS09NJT08nFArR1dWF2WymoqICt9tNWloaWVlZxMfHD/qaL1++/IyLQd19993cfffdgz52/fXXc9111/HOO+/w2GOP4ff7WbhwITExMaN+nsK5JwJ2QRAEQTiPJEli3bp1/PCHPyQhIYEHH3yQb33rW+O2yI3T6aSxsZHm5mYUCgVZWVnMmDEDnU43rOMTExOpqamhuLh4XMZ3sQoEAnR1dTFjxowh95HL5SQkJJCQkEBxcTEOh4Ompib27t2LWq0mKyuLCRMmjGqF1NORyWRcc801FBQU8Prrr/Pggw/y3HPP8cILL7BgwYIxvZYwPuTnewCCIAiC8GVlNpv52te+xv3338/Pf/5z9u/fz4033khFRQWhUGjMrhMKhWhpaWHHjh1s3ryZ3t5eZs2axSWXXMKkSZOGHaxDX8But9vxer1jNr4vgs7OTnQ63bAnmMpkMoxGIyUlJVx22WUUFhZisVj4+OOP2bdvH1ar9YyZ9ZFwu93U19fz6KOPUlNTw7XXXssll1zCQw89hNvtHrPrCONDBOyCIAiCcI5JksSbb75JcXExWq2WiooKbrrpJuRyOTk5OUDf5MKz5fV6qa6u5uOPP6aqqoqUlBRWr17NnDlzSExMHFWHF41Gg8lkwmq1nvX4vkgsFsuoy4QUCgUZGRksWrSIFStWEBUVRWlpKZs3b6ahoYFAIHDW4zt69CipqanExcWh0+l47LHHKC0tZfv27cyYMYNPP/30rK8hjB8RsAuCIAjCOdTe3s4111zD/fffz8svv8y6detISEiIPC6Xy5kyZQrV1dWjzmLbbDYOHjzIxx9/TGdnJ9OnT2fVqlXk5eWNSblFuI5d+Fx4wunZio6Opri4mNWrV5Obm0t9fT0ff/wxR48eHXUmvKuri7a2NiZPntxve1FRETt37uT2229n1apV/L//9/9Etv0CJQJ2QRAE4aL1zDPPMGfOHAwGA0lJSVx99dVUV1f32+cf//gHl112GQkJCchkMg4dOnRexipJEm+99RaTJ09GrVZTUVHBtddeO+i+SUlJxMXFUVVVNaJrdHR0sGPHDrZv345cLmfZsmUsXLiQlJSUMe2XHg7Yx7Jk42Lm8XhwOBz9brzOVnh+wfLly5k7dy4Oh4NPPvmE0tJSHA7HsM8jSRJlZWXk5+cPWvqkVCp5+OGHKS0tZdu2bcycOZPdu3eP2fM4Gy+99BJTp07FaDRiNBpZsGABH3zwwfke1nkhAnZBEAThorV161buuecedu/ezYYNGwgEAqxevRqXyxXZx+VysWjRIp599tnzNs729na+/vWv84Mf/IDf//73vP3222fMxpaUlNDU1ITNZjvj+W02G59++il79uwhMTGR1atXM23aNIxG41g9hX7i4+Pxer04nc5xOf/Fxmq1EhMTg1qtHvNzy2QyEhISmDdvHitXrkSlUrFlyxYOHTo0rGx4c3MzXq+X3Nzc0+43efJkdu7cya233srKlSt5+OGH8Xg8Y/U0RiUjI4Nnn32W0tJSSktLWblyJVdddRUVFRXndVzng+gSIwiCIFy0Pvzww36/v/baayQlJbF//36WLl0KwC233AJAQ0PDuR4ekiTxl7/8hXvuuYeVK1dSUVEx7LKJ6OhoJk6cSHl5OQsXLhw0Q+5yuaisrMRsNpOTk8OsWbPGJWg8VXihIKvVisFgGPfrXejGqhzmTPR6PdOmTSM3N5eqqio2btxITk4O+fn5g77vfr+fo0ePMmXKlGEtdKVUKnnkkUe48sorue222/jnP//Ja6+9xrx588bj6ZzRlVde2e/3n/3sZ7z00kvs3r37S9elSGTYBUEQhC+McDY6vOrk+WSxWPj617/O97//fV566SX+8pe/jDiomzRpEg6Hg7a2tn7bPR4PR44cYdOmTSgUClatWkVxcfE5CdbDkpKSRB07fTdlFovlnATsYdHR0cyePZvFixdjs9n45JNPqKmpGTA5taamhujoaNLS0kZ0/uLiYj799FNuueUWVqxYcUFk24PBIOvWrcPlcn0pW1GKgF0QBEH4QpAkiQceeIDFixdTUlJyXsfy17/+leLiYuRyORUVFVx33XWjOo9KpaKoqIiKigqCwSB+v5/Kyko++eQT3G43y5YtG1EP9bGUmJhIR0fHmLafvBg5HA4CgcCobxK3bdvGlVdeSVpaGjKZjHfffbff47fddhsymazfz/z58wGIiYlh4cKFTJ8+nU8//ZQ33niDK664gquuuopjx45RV1dHSUnJqOYvKJVKHn30Ufbt28emTZuYOXMm+/btG9VzPBtlZWVER0ej0Wj4zne+wzvvvDNg8uyXgQjYBUEQhC+E73//+xw5coS33nrrvI0hEAjw4IMP8u1vf5vf/va3/PWvfz3rFUEnTJiAUqlk3759fPLJJ3R2drJw4ULmzZs3bjXqw2EymZDJZPT09Jy3MVwIrFYr8fHxKBSKUR3vcrmYNm0aL7zwwpD7XH755bS1tUV+3n///X6P//SnP+Wxxx4jJSWF7373u3zta1/j0UcfJSUl5axXNA1n27/xjW+wfPlyXnvttbM630gVFBRw6NAhdu/ezXe/+11uvfVWjh49ek7HcCG4YAL2Z555BplMxv333x/ZJkkSTzzxBGlpaeh0OpYvXz5gooHX6+Xee+8lISEBvV7P2rVraWlp6bdPd3c3t9xyCyaTCZPJxC233PKl/wtGEAThi+Tee+9l/fr1bN68ecDS8OdKT08PV1xxBR988AF79uzh+uuvP+tzSpIUmTTY3t5OcXExixYtuiBKfmQy2Xlt7yhJEsFgEOhbGOp8daw52/r1NWvW8NRTT3HNNdcMuY9GoyElJSXyc/L7b7PZePXVV/nFL37B5Zdfzpo1a8jLy+OKK66gtbV1TN4fpVLJY489xj//+U8eeughHnjggTHpDT8carWavLw8Zs+ezTPPPMO0adN4/vnnz8m1LyQXxKTTffv28fLLLzN16tR+25977jl++ctf8vrrrzNp0iSeeuopLr30UqqrqyOTXO6//37++c9/sm7dOuLj43nwwQe54oor2L9/f+Ru96abbqKlpSUyOenuu+/mlltu4Z///Oe5faKCIAjCmJIkiXvvvZd33nmHLVu2RBYdOteqq6tZu3Yt+fn5fPrpp5hMprM+p9Pp5ODBg3g8HoqLizGbzXR0dDBhwoQxGPHYSExMpKWlhYKCglGfQ5IkAoEAHo+n34/X6x3wuyRJgwbnJ08+lsvlyGQy5HI5Wq0WrVaLRqOJ/PnUbcOZjDmUUChER0cHRUVFoz7HcGzZsoWkpCRiYmJYtmwZP/vZzyLf3Ozfvx+/38/q1asj+/t8Pn71q1/xne98h71795KamkpJSclZz3FYuXIle/fuZe3atVRUVLBu3TpiY2PP6pwjJUnSl3KV3fMesDudTm6++WZeeeUVnnrqqch2SZL49a9/zeOPPx656/zjH/9IcnIyb775Jt/+9rcjd5V/+tOfuOSSSwB44403yMzM5JNPPuGyyy6jsrKSDz/8kN27d0dmOb/yyissWLCA6urqs/pLRhAEQTi/7rnnHt58803ee+89DAYDZrMZ6CvXCNd1d3V10dTUxIkTJwAifdrD2cqz9eGHH3LDDTfwne98h5/97GejLo0IkySJuro6KisrycrKoqioCKVSSXx8PJs2bSInJ+ecB0lDSUpK4siRI/j9flQq1Wn3lSQJp9OJzWajp6cHm81Gb28vHo+HUCiEQqEYEFybTCaSkpIi2xUKRb9a7kAgwKZNm1i1ahUKhQJJkiJBfTAYHBD0d3R09NsmSRJKpRKtVoter8dkMhETE0NMTAxarfaMtd/d3d0olcpxLU1as2YN1113HVlZWdTX1/OjH/2IlStXsn//fjQaDWazGbVaHflMNDY2EgqFSE5O5vDhw9x+++0cPnyYTZs2MX369LP+zOfm5kZKZObNm8f69espLCwci6c6wGOPPcaaNWvIzMzE4XCwbt06tmzZMqA71JfBeQ/Y77nnHr761a9yySWX9AvY6+vrMZvN/e4YNRoNy5YtY9euXXz7298e9K4yLS2NkpISdu3axWWXXRbJdJzckmj+/PmYTCZ27dolAnZBEISL2EsvvQTA8uXL+21/7bXXuO222wBYv349t99+e+SxG264AYCf/OQnPPHEE6O+tiRJ/PKXv+QnP/kJv//977n55ptHfa6wk7Pq8+fP77cQT1RUFHl5eZSVlbFkyZIxXQhptKKiooiKiqKzs7NfIBgOznt6eiLBeU9PD5IkRcpTMzIyiIqKigTnSqVyxM/J7/cDffHBmW4YTiVJEj6fLxLAh8fb1taGw+FArVZHgvdwIK/T6fqN0WKxRBbkGi//8R//EflzSUkJs2fPJisri3//+98Dymh8Ph+VlZXMnDkT6Ctb0ul0zJs3j+bmZvbv3z8m2Xaj0ci7777Lj370I+bPn89bb73FmjVrRn2+obS3t3PLLbfQ1taGyWRi6tSpfPjhh1x66aVjfq0L3XkN2NetW8eBAwcGnXUczpIkJyf3256cnExjY2Nkn5PvKk/eJ3y82WwedMJPUlJSZJ/BeL3efl+52O32YT4rQRAE4VwZTt3ybbfdFgnex4rH4+E73/kOGzZsYPPmzcyZM+eszndyVn3ChAksWLBg0FKNvLw8GhsbaWlpITMz86yuOVYSExNpb29HkiQ6OjoiAXo4OI+JiSEzM5MpU6ZgMBiQyy+M6XMymQyNRoNGo8FoNPaLFQKBAHa7PXLDYTabcTgcqFSqyHNKSkrCYrGQnZ19TsedmppKVlYWNTU1QN83RT6fj+7ubpqbm4mNjSU5ORmLxcLChQsjz3XChAkkJiZy6NAhNm/ezLRp084q2y6Xy/nZz35GSUkJ1113HU888QQPPvjgmN68vPrqq2N2rovdeQvYm5ub+cEPfsDHH3+MVqsdcr9T33hJks74YTh1n8H2P9N5nnnmGZ588snTXkcQBEH48mlra+Oaa65BkiRKS0tJTU09q/O5XC4OHjyI2+0ekFU/lVKppLi4mIqKClJTU8+q/vpseTwezGYz3d3d2Gw2rFYrSUlJZGVlERMTQ3R09AUTnI+UUqkkLi6u3+TOYDCIzWbDZrPR3d3Nvn378Pl8tLe3o1QqSUpKGnGWfzQ6Oztpbm6OfO5mzZqFSqXivffeIz4+nuXLl2M2mykvL+e5557rd6xOp2P+/Pk0NTVFsu1Tpkw5q3HfeOON5Ofnc/XVV3PkyBFefvnl08Z1wuict/+T9u/fj8ViYdasWSiVSpRKJVu3buV//ud/UCqVkcz6qVlwi8USeezku8rT7dPe3j7g+lardUD2/mSPPvpo5H9Mm81Gc3PzWT1fQRAE4eJXWlrKnDlzyM/PZ8uWLWcVrIez6ps3b8ZoNLJixYrTButh6enpREVFRTKs54okSdhsNqqrq9m6dSsff/wxzc3NkX9LFy5cyNSpU5kwYQJGo/GiDdaHEl7dNScnh5kzZzJt2jR0Oh3R0dFUV1fzwQcfsGvXLurq6ujt7R32eZ1OJ4cOHeLQoUNAX0nwoUOHaGpqwul08tBDD/Hpp5/S0NDAli1buPLKK0lISOBrX/sa0Ddf44477uDhhx/GbDZTW1vLN77xDaZMmRKZ33cymUxGVlYWK1euxOv1smnTpkHjpJGYPXs2+/bto6amhmXLlkXmiwhj57zdmq9atYqysrJ+226//XYKCwt5+OGHmThxIikpKWzYsIEZM2YAfbVZW7du5ec//znw+V3lhg0bIu2z2tra+t1VLliwAJvNxt69e5k7dy4Ae/bswWazRb4qGkz4azJBEARBgL4yzm9961s8+eSTPPDAA2f11f/JWfV58+aNqC2gTCZjypQp7Nixg6ysLKKiokY9jjMJd0Exm82YzWZ8Ph9JSUnk5OSQnJwc+XfSYrFccB1sxltHRwcpKSlMnjyZyZMn43K5MJvNkTjEYDBEJjbHxMQM+XkpLS1lxYoVkd8feOABAG699VZeeuklysrK+L//+z96enpITU1lxYoVvP3225FueQCPPPIIJ06c4JFHHsHtdrNq1Spef/31006APjnbXlpaGpkDONpse2pqKps3b+Y73/kOc+bM4d133z3rUjHhc+ctYDcYDANWotPr9cTHx0e233///Tz99NPk5+eTn5/P008/TVRUFDfddBPQd1d555138uCDDxIfH09cXBwPPfRQv7vKoqIiLr/8cu666y5+//vfA31tHa+44gox4VQQBEE4I0mSeOqpp/jFL37BX//617OaXCdJEo2NjZSXl5OZmcn8+fNHVdYSExNDeno6FRUV4xIUORwOGhsbaW5uRi6Xk5KSwrRp00hISBg0CAz3Y/8yBewWi4Xi4uLI73q9ntzcXHJzc/H5fFgsFsxmM7t27UKtVpOVlcWECRMGlIssX778tHMxPvroo9OOIxgMUltby/PPPz/itqbhbHtSUhKHDh2KrGg62r7yWq2W1157jV/96lesWLGCP/3pT5FvAoSzc967xJzOD3/4Q9xuN9/73vfo7u5m3rx5fPzxx/3uKn/1q1+hVCq5/vrrh7yr/POf/8x9990X6Sazdu3a064oJgiCIAjQF2A/+uij/PGPf2Tnzp39ArSRCoVCHDlyBLPZPOKs+mCKiorYuHEjHR0dwyqlOZNAIMCJEydobGykp6eHtLQ05syZQ3x8/Bm/TUhKSqK0tHRY88y+CHp7e+nt7R3ydVer1WRkZJCRkUEoFMJsNtPQ0EBVVRXJyclkZ2eTlJQ0Jq9VXV0dCoWCrKysUZ8jnG1vbGxkz549FBUVMXHixFGNTyaT8cADD5CXl8dNN93E//7v/0Y6MwmjJ5PO19JgFxm73Y7JZMJms53XpaDP5M7XB3bcGY5XbxNfWwnCF9nF8nfYhUSSJO6//37+8Y9/sGnTJvLz80d9Lq/Xy969ewkGg8ybNy/SI/5s1dTU0NLSwvLly0cd/LlcLurr62lsbESn05GVlUVmZuaI2v4Fg0E++OADli5dek4/X36/n/fff5+vfOUr52TCZ1hjYyONjY0sXbp0RMe5XC6amppobGxELpeTk5NDVlbWqFssejweNm7cyNy5c8/6BjCsq6uLvXv3kpyczNSpU89qXYEPP/yQr3/96/z2t7/l1ltvHZPxfVld0Bl2QRAEQTgfQqEQ3/ve9/joo4/Ytm3bWa2garPZ2LNnD7GxscyYMWNMO7tMnDgxEjyOpL1guAVjXV0dFouFlJQU5s+fT1xc3KgCf4VCQXx8PFar9UtxQxjuiDNSer2eoqIiCgoKMJvN1NXVUV1dTUZGBhMnThzxa1dZWUliYuKYBesAcXFxLFu2jD179rBr1y7mzJkz6q4vl19+OevXr+eqq67C6/Vy9913j9k4v2xEwC4IgiAIJwkGg9x5553s3LmTbdu2nVW/8xMnTnDgwAHy8/OZNGnSmJeLKBQKiouLOXToEOnp6cNabbSlpYXa2lrcbjfZ2dlMnTp1TDL+4Tr23Nzcsz7XhUySJKxW61ndxMnlctLS0khLS8Nms1FXV8fWrVuJj49n0qRJwypx6unpobW1td+E1bGi0+lYsmQJBw8eZNu2bcydO5eYmJhRnWvlypV88MEHfPWrX8Xj8XDfffeN7WC/JETALgiCIAifCQQC3HLLLRw6dIht27aNum2jJElUV1dz/PhxZs2adda92k8nJSUFk8lEdXX1gGYOJ4+nvb2dyspK/H4/kyZNIiMjY0yz/YmJiVRVVREKhb5wLR1PZrfbCQaDAxZtHC2TycSMGTOYPHkyDQ0N7Nmzh7i4OCZPnozJZBr0GEmSKCsrY+LEiej1+jEZx6kUCgWzZs2ipqaGHTt2MGPGDNLT00d1rsWLF7NhwwYuu+wyPB4PP/zhD8d4tF98ImAXBEEQBPoy67fffjulpaU8/fTTo84oBgIBDhw4gM1mY8mSJeNeIiKTySgpKWHr1q1kZWX1a8wAfTXJR48exeFwMGnSJLKzs8+qLnkoRqMRpVJJV1fXmEyCvVBZrVYSEhLG/KZEo9FQUFBATk4Ox44dY/v27aSkpFBUVDQgKG9tbcXlcrFgwYIxHcOpZDIZkyZNwmg0sn//fux2O4WFhaP6pigvL48nnniCJ554Ao1Gww9+8INxGPEX1xf3FlgQBEEQhikUCvGd73yHvXv3sm3bNvLz89m5cydut3vIYzqdXspbbXQ6vZFtvb29bN++Hb/ff04nYBqNRrKysigvL49ss9vtkTrkhIQELrnkEnJzc8clWIe+4C5cFvNFZrFYxrRm/FRqtZqSkhJWrlyJQqFg06ZNHDlyBI/HA/TdEFZUVDB58uRzttJtSkoKS5YsoaWlhX379hEIBEZ0fFdXF59++ilr167lo48+4sc//nGk1bYwPCJgFwRBEL7UJEniBz/4ARs3bmTjxo2kpqZGeo6fLmivMtvZXGWhymwH+paMD9chL1iw4JwvvldYWEh3dzdNTU0cOHCArVu3otPpuOSSSygsLDwnXVS+6AF7MBikq6trRAH7tm3buPLKK0lLS0Mmk/Huu+9GHvP7/Tz88MNMmTIFvV5PWloa3/zmNzlx4gRRUVHMmDGDZcuWsWHDBt59911uuukmjEYjl19++TkvKzEajSxbtgy/38/27duHvZprOFifPHkyOTk5zJ07l/fff5+HHnqIP/7xj+M86i8OEbALgiAIX1qSJPH//t//47333mPTpk1kZGQAfdnioYL2cGbd7g6ABHZ3gI2lR9mxcxeZOXlMnTr1vNVwm0wmDh48SCgUYuXKlUydOnXUHT5GIzExkZ6eHvx+/zm75rnU1dWFSqUaUHZ0Oi6Xi2nTpg26/ktvby8HDhzgRz/6EQcOHOAf//gHx44dY+3atZF9jEYj//znPzlw4AB33HEHf/7zn9m5cycvvfTSmDynkVCr1SxYsID4+Hi2bt1Kd3f3afc/NVgPW7RoEevXr+eee+7hrbfeGu9hfyGIGnZBEAThS+vHP/4xb775Jtu2bRvQFjEctB8+fJht23egy5yMQtXXL9ti95FkVLOiKIn2E83YT9TTokxFcutIdXqJj9bQ6fTSZvOQatISHz1+2XZJkmhubqa8vJzY2FiioqKIjY0dt8mIp6PT6dDr9XR0dIzrRNvzxWq1kpiYOKIa7jVr1gy5Oq7JZGLDhg39tv3mN79h7ty5NDU19Vs51ufzYTKZ0Gq1eL1e9u/fz/Tp08/5fAG5XM7UqVPR6/Xs2rWL+fPnEx8fP2C/oYL1sBUrVvD3v/+da665Bo1GwzXXXHMuhn/REgG7AIgFlwRB+PL53e9+x+9+9zu2bdtGXl7eoPuEg/bNu/ZhqTmCRZfFtJwk8pOjSTVpsVlacbc3EJs9mV63AocnQJvNQ3y0hjabh5p2J8C4Bexut5vDhw/T09PDzJkzSUlJwWKxsG/fPjIyMs55WQ70ZdktFgupqann7KblXLFarUycOHFcr2Gz2ZDJZAMmPb/xxhv84Q9/ICMjg6985Svccccd7N69m6ysLIqKis5ZPXtYbm4ucrmc3bt3M2/evH43DmcK1sMuu+wy3nrrLW688UZSU1PHfRLtxUwE7IIgCMKXztatW3nwwQf58MMPKSoqOu2+XS4fHkMGfrubdF8TOTHppCWYqK2t5dixYxTPmIMLLRlKOZ5AiFRTXwlK+L9apZzyVtuYBq3hrHpZWRmpqamsXLkyslpmUlISCQkJVFZWMn369DG53kgkJiZSUVEBMO43LedysXafz0dPT8+4Tjj1eDw88sgjkVr1sJtuuinS5cflcvHoo49y+PBh3nnnHQ4ePMiWLVvOS7Y9JycnErTPnTuXpKSkYQfrYWvXruXZZ5/la1/7GqWlpZGyNKE/EbALgiAIXyr19fVce+21/PrXv2bJkiVn3L/N5uG4xQWqVIp1PRw9tI/u1FQaGxtZuHAhLS4ZNe3OSNa9bxKqjMIUA6kmLdtrrDg8AZgQOyZB68lZ9VmzZpGSkjJgn+LiYrZs2UJOTs6QvbzHS0JCAr29vfT29g64eTmdQCCAx+PB4/Hg9Xojfw7/9Lo9uD0ekCRkSEiSFAnY33//feRyOTKZDJlMhkKhQKPRoNVq0Wq1/f588raRdMzp6OjAYDCM25wAv9/PDTfcQCgU4sUXX+z32GWXXcaxY8cinWPy8/OZPXs2x44dY/HixdTV1Z23bHtWVhYKhYK9e/dSUFDAsWPHhh2sh33/+9/nyJEjXH311Wzbto2oqKhxHPHFSQTsgiAIwpeG0+nkqquu4sYbb+Suu+4a1jFapZxYvYr4aDVTsydQvn83tbW1LFiwgJiYGILKvraOqSYtbTYPBxp7QAKTrq8ri8MdxKBTDitoPZ2Ta9WTk5P7ZdVPFR0dTU5ODmVlZSxatGjMV1g9HZVKRWxsLFarlaysrAE3KZIk4XK5sNls9PT00NPTg81mw+/3I5PJBgTV0dHRJCQkYHYFOd7sBJmMubkJFKQY8fv9bN26leXLl6NQKCJBfDAYHBD82+32ftsAtFotJpOJmJgYYmJiMJlMQ676Op7tHP1+P9dffz319fVs2rSpX3bd7/dTWVnJ1KlTIzcYM2fORKVSUVNTw8yZM8nNzSU5OTmSbZ8xY8agdeXjJSMjg97eXo4ePUp2dvaIV4GVyWT89re/ZdWqVdx55528+eab5/QzezEQAbsgCILwpRAKhfjmN79JYmIiv/zlLwc8fnK9NRD5c7vDQ3evn5xEPd3mZtxuN6mpqRw5coRFixYRH62LBKXdLh9xehVxeg2pJi3dLh9yuYRGqRhwjZFk20/Oqs+YMWNYEzonTZrExo0baWtrIy0tbdjXGgvh9o4TJkzA5XJFgvJwgB4KhTAYDMTExJCens7kyZPR6/WoVKohA7Vop5eA2gFIZCUb0es1kW40UVFRI2pbKUkSXq8Xp9MZGVdraytOpxONRtMvgI+JiUGn02G1Wpk6depYvDz9hIP1mpoaNm/ePCDQPnbsGAaDod97XlFRgd/v77ctOjqaxYsXc/z4cT799NNzmm3v6uqipqaGrKwsmpubSU1NJSkpaUTnUKvV/P3vf2f27Nk8++yzPProo+M02ouTCNgFQRCEL4Unn3ySw4cPs3fv3kGDu5PrrQEONnVTq1WiUcpBAndnGzWdLSxcuBCTycThw4fZuXMnixYtimRlPYEQIQm8gWDk9y6Xn5YuN95AkESDBovdBwy/prulpYUjR46cMat+KpVKRVFRUSQjP14LJp0qGAyiUChoa2vjo48+wu/3YzQaI8F5cXExRqNxxK0v46M1LMobmzr4kzP5J9d9BwKBfjcWJ06cwOFwEBUVRW9vLzKZDEmSRpT9dTqd1NbWRn6vr6/n0KFDxMXFkZaWxte//nUOHDjAv/71L4LBIGazGYC4uDh8Ph87d+6koaEBjUZDQkICR48e5cEHH2TGjBksWrRowPPKy8sjOTmZQ4cOsWXLFmbOnElcXNxZvmJDO7VmPSEhgb179zJ//vwR19QnJSWxfv16lixZQnFxcb/2ll92Mulczti4iNntdkwmEzab7ZytXDcao+32MlqiS4wgXBwulr/Dxstf//pX7rzzTj799FOKi4sH3efUDPuH5W20dLuZmmHCFLTR1VLHwoULIsGPJEkcPnyYjo6OSNBe2+7gg/I2VHIFUzL7asftbh9dLh8hCSYmRmPSqYaVYQ+FQhw9epSmpqZhZ9VPJUkSW7duJTU1lYKCghEfP1wej4f29nbMZjNWqxWNRoPb7WbKlClkZWWNSV/6TqeXKnNfhr0wxUh8dF+G/f333+crX/nKuC0M5ff7qaiowGw2R2rmk5OTSUlJITEx8YzX3bJlCytWrBiw/dZbb+WJJ54Ysnxk8+bN6HQ6enp6ePrppykvL8fpdJKZmclXv/pVfvKTn5w2EJckiePHj1NVVRV5H8baUBNMm5qaKCsrG7Ll45kM5//XLxuRYRcEQRC+0A4ePMgdd9zBm2++edp//OOjNZEgutPZV+OMBGpvD13mOhYsWNAvQAq3fNxTeoDNW7czffY8PAGIiVIjl0FDh5OQBDMmxDI3J35EpTB+v5/S0lLcbjdLly4lOjp6VM9dJpMxdepUdu3axYQJE4aszz7VcEp37HY7ZrMZs9lMT08PMTExpKSkUFRUhMFgYO/evQQCgTEL1rfXWKk224lSqzDp1OesTaRKpcLv95OTk8OkSZPo6urCbDZTWVnJ/v37SUhIICUlhZSUlEFf3+XLl5+2m81Qj4Xbc15yySVcdtllIx53ONtuMpnYt28fdrud4uLiMVvU63TdYCZMmEAoFGL37t0sXLiQ2NjYEZ37uuuuo7y8nLVr17J3795zWo9/oRIBuyAIgvCF1d7ezlVXXcVjjz3GlVdeOeR+pwaobTYPIQkKYkL0muuZP2/eoEGDTCZDn5qL2ebhUOkeps+ex4wJsdjcfuosLgw6ReScww0wHQ4He/bsITo6miVLlpx15jguLo7U1FSOHj3KrFmzhnXMUO0YA4EAra2tNDY2YrPZSEpKIisri7lz5w7onpKQkEB7ezv5+fn9to+mjr/N5sHhDpIeE0VOov6sJ/COhCRJWK1WcnNzkclkxMfHEx8fT3FxMU6nE7PZTGtrK2VlZZHXIzk5+awC41AoRHl5OYWFhWfdSz8xMZFly5axZ88edu/ezezZs4ddVjWU4bRuzM7OJhgM8umnn47qpvMnP/kJZWVlXHfddXz00Ufj9g3KxUIE7IIgCMIXktfr5ZprrmHRokU88sgjp9331AA11aSl0yjDVldP2sQC2n1q5J+tYHqqtBgdFBbjajvO0UP7WLRoEb1BLSABI+t00d7eTmlpKTk5ORQVFY1Zp4zJkyezceNGurq6iIuLO2PQfGo7RpvNRn19PS0tLURHR5OVlcWCBQtOG0QlJSVx9OjRSE172Jl6sw82tlSTFrJizssCTD09PUiSNGAhI+ib6JmXl0deXh5ut5vGxkbKyso4cuQIEyZMIDs7e9jfapysoaEBSZJG3G1lKHq9niVLlnDgwAG2bdvGvHnzMBgMozrXSPqs5+bm4na72bt374hvPuVyOf/3f//HwoUL+f/+v/+PF154YVTj/aIYm+9FBEEQBOECIkkS3/ve9/B6vbz66qtnDHxTTdpIH3UAg1qGq7makD6RKoeKzVWWz/qrDxQfrWFKRgx5hcXIdUa2bd9BlCKE3R3ggyNt7K3vGtZ4a2tr2bdvH9OmTWPy5Mlj2tZOp9ORn59PWVkZkiRFguY2m2fI5zQ51YDX3smOHTvYvn07AIsWLWLZsmXk5OScMfiKjo5GrVbT1dX/+Z/6Wp/qTGM716xWK4mJiWfMmOt0OgoLC7n00kuZPn06drudTz75hH379tHZ2TnsRZ68Xi9VVVWUlJSMWfkK9JX2zJ07l/T0dLZt20Z7e/uIzzHSRZGg72ZRq9Wyf//+ES90FR0dzfr163n77bf5/e9/P+LxfpGIgF0QBEEYU8888wxz5szBYDCQlJTE1VdfTXV1db99JEniiSeeIC0tDZ1Ox/LlyyOrY46FF198kX//+9+8++67w1qEJT5aQ0m6ifhoDaFQiNLSUgyGaHInFRCn1/Qly8+QLTfbvdi0aaj0Jnbu3Em33UGb3U1Za/fnNfGDCAaDHDx4kOPHj7No0aJxW+kxNzcXr9fb13bvNEFzIBCgtraWTz75JNJhZvXq1UyfPp3Y2Nhh30jIZDISExOxWCz9tp/8Wg9msLGdzyA+HLAPl0wmIzk5mXnz5rFq1Sp0Oh27d+9m69attLS0nDForaqqIi4ujuTk5LMd+qBjKyoqYtq0aezbt4+ampphB9GjCdahL1M+e/ZsnE4nlZWVIx5zdnY2f/vb33jggQfYuXPniI8fjWeeeQaZTMb9999/Tq43HKIkRjgro+1KI7rLCMIX19atW7nnnnuYM2cOgUCAxx9/nNWrV3P06FH0ej0Azz33HL/85S95/fXXmTRpEk899RSXXnop1dXVo/6qPqy6upof/vCHfPDBB6MKfo8ePYrH44l8hZ8WoyMzLuqMddPhx1OMU6mtqsBlqSM3NoVeT4gqs2PQloQej4e9e/cCsGzZsnFbRRNAqVRSXFxMWVkZq1alEp/efwXUUCjE0WPHaairRafTUVJSQkpKyqiyvOGyFp0xlvaWxhEdG67373R6KW+1kWrSolXKcXn9NHe5zmlZTCAQoKuri2nTpo3q+KioKEpKSigsLKS5uZmjR49SU1NDUVERycnJA25+7HY7TU1NLF++fAxGP7SMjAyio6PZs2cPdrud6dOnn7bt52iD9TC1Ws28efPYtm0bRqNxxP9fLlu2jJ/+9Kd885vf5MiRI5G/R8bDvn37ePnll8el5/7ZEBl2QRAEYUx9+OGH3HbbbRQXFzNt2jRee+01mpqa2L9/P9CXXf/1r3/N448/zjXXXENJSQl//OMf6e3t5c033zyraweDQW6//Xbuuusuli5dOuLjGxsbaWpqYt68edi9IcpbbQD9MsKdTi87azvYWWvtlzkP176b7V4CMZlIGgNFijaS9HI+S9H343Q62bp1K9HR0SxatCgSrIcD1dNl5UcrLS2N6OhoampqItskSaK1tZVNmzbR1FiP35hJUv500tLSkMvlQ47ndOMMZ8S9Sj02mw2fzzfisZ6cVfcEQnS7/NRaXOc0y97V1YVGoznrAFGpVJKTk8OqVauYMGECBw8eZOfOnf3KhSRJoqysjJycnLO+aR2OmJgYli1bhsvlYteuXZFFqE51tsF6mMFgYPbs2Rw6dIju7u4RH/+DH/yA1NTUcV1Qyel0cvPNN/PKK6+MuLPNeBMZdkEQBGFc2Wx9QW+4JWJ9fT1ms5nVq1dH9tFoNCxbtoxdu3bx7W9/e9TX+vWvf43VauXpp58e8bFdXV2UlZUxb9489Ho99a02atqd2Nx9wabdHcCoUwIyDjR0f1YhIwMc2N0+jLq+mm6L3UeSUUNuYTFdzcdQ9jQT9BvpPGnSqt1uj7RaLCoqosvlo83mJNWkPeOkzLMhk8koKSlhx44dZGVl4XK5OHr0KF6vl8LCQvSxSZgdvkHLUWxuPyZd/046Q43z5Emr3UYjVquV9PT0EY311ImvM7NjAemcdogJl8OM1XwChUJBbm4uEyZM4Pjx4+zatYvExESKiopwuVzY7Xbmzp07JtcaDq1Wy6JFi9i3bx+7du1iwYIF/TrIjFWwHpacnExhYSF79+4d8TdKCoWC1157jRkzZnDttdeybNmysx7Pqe655x6++tWvcskll/DUU0+N+fnPhgjYBUEQhHEjSRIPPPAAixcvpqSkBCCykuOpNbrJyck0No6sfOJk1dXV/PjHP+ajjz4aVt36ycKdLCZPnhypVw4Hhs1dLnbWduDxhchK0DMzK4a85Gi6XF4ONHTyaV0X0RolUzJimJkVi1Ylo97qZP7EeJbOn8PmXfvoqiunWTuD+OhkbDYbu3btYuLEiUyaNAmZTNYv+A1fV6uUR0pCxjJwj4mJITExkc1bthIIhkjJzGbJ1KJISUSCsX9Xk0inGLdvQCedkx8/2cltLBMTE0cVsJ/aCnOsVjkdCYvFwqRJk8b8vCqVisLCQrKzszl27Bhbt25FJpMxadKkc96+UKFQMHfuXEpLS9m5cycLFy5Eo9GMebAelpubi91uZ+/evSxatGhEK/Dm5+fz1FNPcccdd4x5acy6des4cOAA+/ad2wUoh0uUxAiCIAjj5vvf/z5HjhzhrbfeGvDYqVnLkS75frJwKczdd9/N4sWLR3RsIBBgz549pKSk9AtMwkFpc1cvPb1+0mO15CX1BQgOj4+DTT1sPWalpbsXCYmZWTEUphjwBkJUtjkoP2GLLFxkjImjveYIZrOZnTt3kpeXR0FBQeT5njzRMjwps93hYXOVhb31nWNWIuP1etm/fz9Wq5VAwE9NIAEzMacNmsLjKUwxkmTUYHP7It8WhL8RON3YwgH7aBdWH6oEabx5PB7sdjsJCQln3Hfbtm1ceeWVpKWlIZPJePfdd/s9PtQka61Wy9SpU8nJyUGSJMrLy/nWt76F0Whk7dq1tLS0jNOz6y88MdRgMLBjxw7MZvO4BOvw+YJjAIcPHx7x5+K+++4jLS3tjK1aR6K5uZkf/OAHvPHGG+M6j+RsiIBdEARBGBf33nsv69evZ/Pmzf0mmaWkpACfZ9rDLBbLqDtj/OpXv6Kjo4Of/exnIzpOkiQOHTqEUqlk6tSpA24Y2mweul1+YqLUzJ2YQGacnjqri731XTR2upCAOL2aBL2GZMNnwXaaiTk5sZSk9U3qTDBoWbFwDjEmI3v27GHixIkDFhMavHOKDCTocvnGpEPKiRMn2Lx5M4FAgFWrVpEyIY98rY3i1M/rpU9Xlx4frcGkU1FndbG9xhqZWHqmscXHx+N2u+nt7R1xfX54hdMdNRYONPac0/r1jo4OTCbTsBYucrlcTJs2bche4eFJ1i+88AL79u0jJSWFSy+9FIfDgcfjoaGhgX/84x/893//N1dddRXr1q1Dp9NxxRVXEAwGx/qpDUoulzNr1iyioqLYs2cP+fn5Yx6sh4Wz+larlePHj494nK+99hqvvfYaW7ZsGZPx7N+/H4vFwqxZs1AqlSiVSrZu3cr//M//oFQqz9l7cDqiJEYQBEEYU5Ikce+99/LOO++wZcuWAf/o5+TkkJKSwoYNG5gxYwYAPp+PrVu38vOf/3zE16uqquInP/kJH3/88YhLYWpqaujq6mLZsmWDdkNJNWlZPCkRu9uH3e3H7vbR6/WjVCjIiNWhVcrx+EO0O33sqe8kL9kQ+Tm5y4ki4Kazs5PY2FhaWlrIyso644I6hSkGTDoVWqWcdocHm9vfrw5+uHw+H0eOHMFisTBlyhQyMjKQyWTMnVbEps42lO4uoO/m4kz186kmLbVaJQ53MLK4UXj7UGyeIBq9kfrmE2BIOmN9/skLJ7XZPJh7+oL7vKThrXA6mpVUBzOSdo5r1qxhzZo1gz526iRrgD/+8Y8kJyfz5ptvMmfOHPR6PX/+85/505/+xFe/+lWOHTvGN77xDdatW8eGDRu4/PLLR/08RqK7uzvyOW1ubiYrK+usV1odilarZe7cuezcuRODwTCim/W8vDyefvrpSGnMSFdRPdWqVasoKyvrt+3222+nsLCQhx9+eERlO+NFBOyCIAjCmLrnnnt48803ee+99zAYDJFMuslkQqfTRfobP/300+Tn55Ofn8/TTz9NVFQUN91004iuFS6F+c53vsOiRYtGdGxXVxfHjh1jyZIlQwYl8dEaFuVpKG+1sbnSAjKI06tIN4E74MfWGyQmSoleI/X1az9Jm83DwaZuauV+VJ01ZGRNRG5KwdV2nJ07d7Jo0aLTBu392huesOHwBDDpVCMKQtva2jh8+DCxsbGsXLmy39f9crmckpISDh48SHp6Omq1+owBeHy0hiX5iVSZHdjcfZNTS05pDzlgDDYPvQo9zW1mjMpYkozqIc8fzqg7PAGYEEuqSUtKjAa9R0FmnP6Mz/3U40cbsEuShNVqZfr06aM6/mSnm2S9ZcsW0tPTkcvl+P1+Vq9ejVwup7CwkNTUVFpbW+nu7qanp2fQlVbHUrhmvbi4mOzsbPbv38+uXbtYtGhRv4moYyk2NpapU6dy8OBBVqxYMaKbg+9///v8/e9/55FHHjnrVVANBkNkjk2YXq8nPj5+wPbzRZTECIIgCGPqpZdewmazsXz5clJTUyM/b7/9dmSfH/7wh9x///1873vfY/bs2bS2tvLxxx+PuJ3dL3/5S7q6ukbc0SG8WNGkSZMwmU4fcEJfADszO5aZWTHMy4lnRVESsybEkWLSsDg/gRvmTWBuTly/ko9UkxaDIoDUfgxjYjqKmFRqLS70qbkkJCSwc+dO3G73Ga/dZvPgcAcxaJWRiaidTu9py0t8Ph/79+/n4MGDFBcXM3fu3EFrc5OTk4mJiYksbHWmRY3C+5h0KuosvWyvsVLb7hhyHJ1OLza3n9i4ePwuOxabB5NOPeT5T32ubTYPGTG6yO8jea3OppuM0+nE6/USHx8/6nOEDTXJOikpiePHj5Obm0tPTw9qtbpfK0GTycS7775La2srO3bsoKqqilAodNbjGcypE0xlMhkzZ85Er9eftuXjWMjMzCQ2NnZAhvtM5HI5f/jDH3j99dfZvHnzOI3uwiEy7IIgCMKYGs4kMplMxhNPPMETTzwx6utUVlbyxBNPsGHDhjOWl5yqqqoKpVJJXl7eGfcNl1gkGzS0O7zUWBw4PH4qT9hxByTi9Gqmf5bNLf+sFSTAxFgVmq5aolLSmFxUCPR1WrF7AhTkFgJVw8q0p5q0kBUzoOUjMGh5idls5tChQ4Nm1U8VbvO4ZcsWsrKyMBqNwyopSTVpqdUpcHgClJ+wIUmyAeOAvgDaYveSaDCAJBGr8p82kB7sucpkEpIkwxM4c7B68vFnWw4TFxc3pqUQp86PcDqdhEIh8vPzOXjw4KDHBINBamtrueuuuzhw4ABtbW3MnDlzWDeZwzVUN5jwRNS9e/fy6aefsnDhQpTKsQ8bw5NQN23axIkTJ0hLSxv2sbm5uTzzzDPccccdlJWVnXVpzMnGqj5+rIiAXRAEQbjohEthvvvd77Jw4cIRHdvV1UV9fT1Lly4d1iqeVWYHBxq60ahklLXYaO7pRSaBPyghl8nQKuVMy/T0a3WYqFeyZ88e0lJT+01mNenUkSDbmJBNtD94xqD91PaG0L9kJfxnSZKorq7m+PHjTJ06lYyMDLpcPmrP0BrSYDCQnZ1NeXk5CxYsGFDHPlQAn2jQkmiQSDZo8QRCgwbiJ7eEDGkMKHyOfuc49dxxejVej5v61nbcbjcypwuDUkIWCtBZF2DzMR9er5dQKIQkSQQCAQA++uijvtdYJkNCRrtWiz5Kh1arRavVotFoIn+Oioo6Y+mF1WolKSnptPsM18mTrFNTU4G+zkQNDQ1kZ2ejVCpJSUnB5/PR3d3dL8tusVhYuHAhJpOJZcuWUV1dzfbt25kxY8aI22QO5kytG+VyOXPmzGHXrl0cOnSIWbNmjVlP+pOFu+UcPnyY+Pj4EZXG3HPPPfz973/n4Ycf5re//e2Yj+1CIQJ2QRAE4aLzi1/8gp6eHn7605+O6LiTS2GMRuMwj5L6GrZIEjaXny6nn2iNArkcNEo5chmRco1w0Ll3717UajVTpkzpF+CcHMDWWlzkpeaiVTUMK9M+WOAc/m8gEODAgQPYbDaWLFkSeW5DLXp0qoKCAjZu3Eh7eztapR6ZTIo8p731neys7WRRXjxrpqRFzmuxe8lPjiYveegyppPr8HEk4rd3fv6qShJNlm4aTljpVAVQBd2RVVGDMiW9QTkhuRJdrIGspBiCMiXOgIycmGhio7XIZDL8fj87duyI9POuabfT1OEiwaAgKUqOx+PB7XbT3d2Nx+PB4/Hg8/nQ6XSYTCZiYmIiP+EgMRQK0dHRQUFBwRk+F8Mz2CTriooKysvLufXWWwGYNWsWKpWKDRs2cP311/e9xm1tlJeX89xzzwF9wXNRURGxsbHs378fu91OYWHhqAPo4fZZD3d02bp1KzU1NePSlx4gPT2dEydOcOTIEebMmTPs48KlMdOmTePaa69l5cqV4zK+800E7IIgCMJFpaWlhSeeeIJPPvlk2KUw4WDXY2kcdilMWGGKEZNOjVYpRyaTYWq1fRa8BwgioVEr+pVrVFVV4XA4Bs3gnxzAhgPouPRpHD58+IxB+1CZb3nAS2P1EXRaDVNmz6fJESJV7u2X8T910aNTqdVqCgsLKS8vJ7lgVr8SlC6Xj06njy6XL7J/qkmLze3v15P9dOKjNUzNy2Tz5lr2HzpCZ1cPfreTYDCAVqtHExtDclIqaVm5tLhg5/FODrT1oEDGLRMnUFiYxs7aDg40d5MXCpIJpJo0GD9b5Ck6OhqVSkW2XIMmynDabxT8fj89PT3YbDZ6enpobm7G5XKh1WqJiYmJdBoaSdmJ0+mktrY28nt9fT2HDh0iLi6OCRMm9JtknZGRwUMPPUR0dDQ333xz5Fp33nknDz74IPHx8cTFxfHQQw8xZcoULrnkkn7XSklJYcmSJezduxe73c7MmTNHvNjSSBdF0mg0zJs3j+3bt2MwGCLfFIyl8JoFmzdvHnFpzMSJE/nZz37Gd7/7XSoqKsaldOd8++I9I0EQBOEL7YknnuDKK68cUSlMm81DTZMZRUcjy4do4XgmsXo1MyfEUm91YnF4MegUpMXpmJpuigTGra2t1NXVsWTJktN21ji1zGXatL6gfcu27Xjj8iiZkDggc31qB5c2m4eaxjZkncchKo6MnEI6ekMcbOyhVqdgSX5i5Dq17Q6sDu9pJ25mZ2fT0NBAyN5OkjEhEowXJBvocvko+KxVZTjLb9KpqGl3YtJ5hiydCQaDdHR0YDabOdHWhiRJmK0d+DSxZObnMCM3rV+deHmrDavTSU6CnuauXpyeIM1dvZ9NaO37pqPL5cPj75snYUzq38ZzsPIhGPjtRGJiYr+WjX6/PxLANzQ0EAgE2Lx5MykpKaSkpBAbG3vaTHZpaSkrVqyI/P7AAw8AcOutt/L666/zwx/+ELfbzfe+9z26urooKSlhw4YN/SZZ/+pXv0KpVHL99dfjdrtZtWoVr7/++qB19EajkaVLl7Jv3z62b9/OvHnzhr3q52hXMDWZTMycOZMDBw70+xZnLGm1WqZMmTKq0pjvfve7vPDCC7z22mvcddddYz62800E7IIgCMJFo6qqij/96U+sX7+eQCAw7ExaUrSKJnsjsek5NDmkSAZ6MLXtfauUlqSZyEs29CsrOdDYxaf1XXS6vEyI1VOUFhNpN9jYZuXwgQMUlkwfcTATnnjXsHEX3tZKymFAwD4gGHVYUHTWkJKVT1R8KqkmLfVWJ9XtNmKj1OQlGSL7ewKhM07clMlkTMgtoOLwAWLzDXT0gknnQatWkhGrR6tW9svyh28cwp1rbG4fFruPUDCAq6sds9mMxWJBrVaTkpKCMzqDdscJErQaSnIn9vWnVyj6BdOffyPgJzO2l4ZOF93uAG02T79vOsI18+Gs/+66DlJjoiPbB5v8erpvGFQqFQkJCSQkJNDW1kZOTg5arRaz2czu3buRyWSR4D05OXnADd/y5ctPO9k6PMn6+9//Prt37+aSSy4ZMBlYq9Xym9/8ht/85jdDnudkarWaBQsWUF5ezrZt25gzZ84ZV2UdbbAelpaWht1uZ8+ePSxdunRcerSPtjQmGAxy55138uMf/5ibb755xGsyXOhEwC4IgiBcNB5//HFuvvlmtFotmzZtori4OLIc/OlYW+rRazVEJ6WfceGe8hM29tV3A31Z9eauXnp9fuxuGTa3H5fHh98XQqmEmZ91JPF4PJQf2k/QkIpPPbrMo0wmo7hkChXlZWi6anG7U+kNygdkra12N+Xl5fT2WFm4YEEkSOt0etlY1U5Nu5PMOB0eXyCycNNwFjgCcCv0+JTRmBvrSMst7FdSY3P7STZoyE+OjrRcjHRzMTuIVfkw9VppOGQhpNSSnJLC0qVLMRj6MvSvvFeG1yGxXGUDoNvlo83miQT6NrcPk07db7w53VH4g3319N0uH7UWByVppkjv9yNNfe/l4WYbnb1BJEk2aL3+cJ+/3++nu7s7suJneno6oVCIrq4u2tvbKS8v5/Dhw2RmZpKVlTWiriSSJFFWVsakSZNO27lnJORyOVOnTsVoNLJ7926Ki4uHDMTPNlgPKygowG63U1payoIFC0b1bdXpnFwa09raesbJtcFgkLq6Oo4dO8by5ct5++23+c1vfsPDDz88puM630TALgiCIFwU9u7dy4cffkhtbS0pKSk0NzdTVlZGXV0dU6ZMGXJhmXBXmGXLluGTqZHJ5P0Ct1PLJUrSTLi8ATRKBVVmO0eae7A6PUxKNhAMhVDI5KhVEikGHYUpRmJ0Snbt2kVsbByGjDxSTdphr7Z56n75KUbykhdGatoTcqdQ393XCSU+WkMwGOTQgVJcvW7isqdg9qqQfVZD3mbz0NbjweLwEELi7dImchMNLM5PPGNv9bBUk5bahEw4UYE21P9biAON3czMimFRXmKkfWUoFETR24W2swGnz0tSShrHtFnU9IRYIotlwUmTX/VaNd2OKKLoYld1Gz2+vqz/1AwT+cnR2Nz+yM1USbrpswWrVOyosfJBeRtqhYymLg/w+bcPGkVfsDgxUc+kFBOeQAib29evLCh8/eG0euzs7CQqKqpfdlYul0ey75MnT8ZqtdLY2MjmzZuJj49n4sSJJCcnn/GmsbGxkUAgQG5u7hnfh5HKzs7GYDCwd+9e3G43RUVF/cYzVsE6EOnRvn37dsrKypg2bdrZDn+AcNeYI0eOkJCQMGgmX5IkzGYzFRUVKBQK5s2bR0JCAs899xzXXXcdd999d7+OOxc7EbALgiAIFzxJknjkkUe4//77IxPeJkyYQFpaGseOHWPHjh1kZGRQWFjYL3sZDAY5cOAABQUFkXrhU4O2KrOdA409kWA0L9mAJxCipt2JUScjPVZHc7eLYxYnWoWMmCg1ukAIrz/EnroOUoMWgsEgCxfOitQbn9yP/XRB4mClGuHymMOHD9Nec4T4zCJsbj8WWy+1FYdQECKneBZOv9Tv2FSTltQYLQ0danp6fdQEJPRq5bAnhobPs6Qog/KQna6WWnbINMhk0NrdS7vdg93tp7bdwafVJ9D7umhqsxGl0zK5IJ/09HSq2l3g6CA7PkhJmilyQ6JVylk2KYEjUUo8PhdOWxddwWiUchnGz7LqNrePJKOm381UqkmLPxiiocNNQYqeOTmxlKT1Zdc7nV4qzXZkQEZsVCSIr213cKCxG5ev71sAYFhtKqGvnePJte2nkslkJCUlkZSUhNfrpaGhgcOHD6NQKMjJySErK2vQMi2/309lZSXTp08ft2Xu4+PjWbx4Mbt27SIUClFcXIxMJhvTYD1MqVQyb948tm7ditFoHLPzniwtLW3I0hi73U55eTk2m42ioiKysrIiNyiXXHIJs2fP5uc//znPPvvsmI/rfBEBuyAIgnDB+/jjjzl8+DDvvPNOv+1KpZLJkyeTlZVFRUUFGzdupKCggIkTJyKXyzl27BhqtXrQrjDhwM3u9oMEIItsD5fBJBuMFKYY6PUFOGZxEpQgVq/B7vXT1eujraWJED3MnLuwXyA23BKMofY7OWg/0XgUb8xEnI3l6DVKlixaiEql+qzTjCpybHy0hmtnZpIeE0VVm43Grl48/iC7j3dyoLGbNSWpp23BGBYfrWHRrCl8+PEGmo430uzV0uXyEJLkSKEA5UePEmdvx4mO5ILJzC78PFhKNWlZPCkhUmdeZbZjsfvIT47GqFOBTE53UIM66EQmi2JqZhx2t4+/72+mu9fH4vykfkF0fLSGyalG2u0echOjWTU5JfIeba+x0m7zkkJfpn1nrfWz91AiRqfBoFMM2q/+dPXsVquVwsLCM75G0Nc5paCggPz8fE6cOMHx48epqamhoKCArKysfqUi1dXVGI3GSE/28WIwGFi8eDE7d+4kGAySkZHB7t27xzRYD4uKimLOnDns3r0bg8Fwxvr5kQqXxmzatIm2tjZSU1Px+XxUVVXR2NhITk4Oc+bMGbRDzrPPPsvSpUu59957x6Rf/YVABOyCIAjCBS0UCvHII4/w2GOPDdlqT6/XM3fuXKxWK+Xl5TQ0NDBp0iSOHz/OokWLBi1XaLN5ONjUjQzIS+7rsBEO4mvbnSDrm6wZH62hOD0Gr18i2aSmOM1EQ6eTrm4HsT4r7dHZdHnh5CZ0Q3UrOdXp9gsH7b3eUjraK1GbTMyfPz+SwT25RWS4Vj0v2UBesoGdtR18cKQNpVJOd68Pty9E+QlbJGA/U8mOUqlkYn4BUk01J0intdvNrFg/geY2ovXRWOPz0Gn1dARU7DreSWGKod9z+VtpMzXtTianG4nT900UtSEjSqmgVxFFGhaq3QEq22w0dbpRyGUkGTV8dufUb4xmuwdJkuHwBiLbbG4fDk+AZJMGHOANhthR24mj18+i/ARmnLLa6cnPcaibJLfbjcPhGHHgKZfLycjIID09nba2NiorKzl+/DhFRUWkpaXhdDojJVnjsejQqfR6PYsXL2b79u00NjZSUlIyLhlwIFImdODAAVasWDHi9pJnEr4pOnr0KL29vVRXVxMbG8vy5cv7ddg51axZs7jiiit48sknefnll8d0TOeLCNgFQRCEC9rbb79NZ2cn99xzzxn3TUxMZNmyZTQ2NnL48GFUKtWgJQqdTi82tx+5DEIhGd5ACIv984z1zOxYQIrUo9vdPuKiVUxMiEarVjIvJ5aD+3ZT36unW4Jlp2mXOFxDtUUM+jxoNGoCPm9f+0FPMLIfwPYaKw5PACbERlo4NnQ4mZppIj1Wh0Yhp6XHHSklgdNnmcPjSElJw9LaxDR/N/lpDiS5grgJBZjiEpgRo6PKbOeDsjaUcjlWhyfSRrLN5qHG4qCxuxeZXGJqehyeQIjClL4Aq7oNtF3tTEpQsa3ORn2Hi6kZsUzNMNHQ4UKjkKNVK/vKgOxe4vQaJqf1LVJVZbZTZ+lFJpNIiFYTrZbRBSQbtWTEaKnxBuhyeZmbEzdk+ctQN0lWq5WYmJjTtuM8HZlMRlpaWmR+RXl5OTU1NX3ddyZMGJc2iEPxeDz4/X5UKhUOhwNJksbtZiEnJ4e2tjYqKiqYPn36mJ8/KioKl8tFTU0Ns2bNIjk5eVjHPfXUU0ydOpUHH3xwzBbBOp9EwC4IgiBcsHw+H//5n//Jk08+OezOGnK5PFKHnJiYyJYtW8jOzqagoCASjIVX6sxOiMakU+HxBWjpcaNVyvtKQvI+D+jKW20cabVjtXk4bnGiUSuYafJg1ChQ69LJUCpP2y5xuE4OogFau1101VegUshZuXIlFRUVAyaiAjjcQQw6ZaS94uHmbj493klMlIqZE2LJSzYw+7N9wy0rM2J05CdHDzr5Nhwo99q78fv9SL29+KJS2NchJ6HeTXJnJykxGjRKOUq5HKfXj9nmoc3midTSrypKYW9dB+6AhFwunRQw2zlq7qVEqSFHH2KfSkEICASD+IMSR084aO3pRadSkWxQ4wtKaFVqshOisdi9GHUyDDoFZpuH7l4fMVoFRuBYu4M4vZq8pGhCEpGxnKmd48nOVL8+XHK5nKysLDIyMjhy5AhNTU0oFAocDsdps8JjJVyzXlxcTHJyMjt27KC8vJySkpJxCdplMhkzZsxg8+bNpKWlkZSUNCbndblclJeX09HRQXp6Oh0dHSP69iM/P5/bbruNxx9/nL/97W9jMqbzaWx78QiCIAjCGHrllVfQaDTccsstIzqusrKSzMxMZs2axbJly3A6nWzcuJH6+npCob5e3fnJ0RSmGChJN6FVK3F4ApSfsH22SM/nUk192VtkYHV6Cbh76bW2MG/OLG6an8Pi/MQz1qoPR3hMqSYtlSd6OHr4IC6vn3nz5qFSqZg2bRoJCQm01xwhJ7YvQLe5/UxMimJJfmJkomycXkNMlIoelz/yfHbWdrCz1sqe+k721Xf3ZdxP6hxT2+7gf7cf57ebjvHXPfW42mppPVaGXRmL2piAOuimwxmgrqOXwy3d1FmdGHVqpk+IIS/RSMpJrRjjozWsmZJKZnwUxy192f7PyfB6A7T0KnHZurlmZgbzsuOZlGIkTq+hKNWAUiGn1xvAF5Ro7Xazs7YDu7uvDj7ZoCHRoCFa05eBL2/tAeBfh09wpNVGTqKeGRNi+5W9nHpjMhhJkrBarUMGm9nZ2chksgE/4W99brvttgGPLVq0iK6uLiZPnozJZGLr1q3U1taetl/72Tp1gmlUVBSLFi3ixIkTVFZWjtu1o6KimDx5MocOHcLv95/Vufx+PxUVFWzevBmNRsMll1zCzJkz0Wg01NfXj+hcP/rRj/jggw/Yu3fvWY3pQiAy7IIgCMIFyel08l//9V/8/ve/H9FS4z09PbS3t7Nq1Sqgb1XI+fPnR/po19bVYUrLJTcztV+f7lqtEoc7GMnOhsVHa7i8JJXshGhsvR5CbVWkJmdFWsYNp1Z9OMKlGpIk4TxxHLkUwDhh2mclMC5STdrIRNSO42WQOwWLPUB+cl8v8HCXlcIUA/lJ0ZHFn6rMDj440oZBp2Rqhqlfp5Ww8hM2ypvt+N09rEnzYXfI2e6Kw20JEK2Wc0mMnUtzs2h2yalud7L9mJUTPb2kx0RRmGokP8lAldmO3R2grw5dxicVFqrNDrpdXrLi+26Oylt6iNYpcfmiUAWsADy4ugBPIIRWKccbCOL0KklJ0FKSZmJjZTtWpweQUZJuorzVhsXuIz5a/dmEVi8k9l0yI6avzeap791w3h+Hw0EgEBiyDeC+ffsIBoOfv17l5Vx66aVcd911kW2XX345r732WuT31tZWbDYbubm5yOVy0tLSOHjwIG1tbcyYMWNEPdyHY6huMHq9noULF7Jz5040Gs24tJWEvpuaEydOjLo0RpIkmpubOXr0KNHR0SxZsqTfnJXJkydTWlpKVlbWsGvl09LS+MEPfsAjjzzCxo0bz8kcgvEiAnZBEAThgvTrX/+a3NxcrrrqqhEdd/ToUXJyctDpdJFt4ZUqk5KS2HXwKCdqyrFbWlkwezp6vT7Sf738hA3tIPXo4TKZ6upqWlVypk8pPuvnN5Ta2lokj4NJU2aQmWAaUNZxcsvHnPypaJVyPixvo6bdGfnWIC/ZQKxe/VkXHB+GKBUZMVrm5sQPCGBr2x1YelwsTnQRj4/tVjXH3Fr0Kokedy8eX4h0VRRT1BZSciZTa3HSZvNwoseDSWentcdNW4+bfQ3d9PoC+AMS0RolZoeHQDBIt9vPJ0fNHG7ppsvlQ6dSkhlrRBbopNfhwBMwolXK+aC8DX8wRJJBS6JBQ6xeTUmGCV9QAiTKW214fAFkMgmQkxGjx6SRgd/KrOxY/FLfYkyjuYGyWq3Ex8cP2XLx1FKZZ599ltzcXJYtWxbZptFoIl1gvF4v+/fvZ86cOZFuMfHx8Sxfvpyqqiq2bNlCYWEhubm5YxJEnql1o8FgYO7cuezatQuDwTBmZSsnO5vSmK6uLsrKyvB6vUydOpXU1NQBr0tiYiImk4mamhomT5487HP/8Ic/ZOLEiWzYsIHVq1cP+7gLjSiJEQRBEC44drud//7v/+aZZ54ZUUBjtVrp6ekhPz9/0MflcjlFBflkT52HSq1i46ZN7D9Uht/vxxPoW8hnqHp0m81GTU0NM2bMoMfdt4roqeUzZ6umoZnKqiomT53B9OykSE14klGNze2n0+mNdI9JTkqkveYI5U1WasxOmrtcHGzsocrsAPr6y2+usgDw1SmpXF6SOmgwW17Xgqmnhmh5AJspj2mTJzE/Ox6PP4i9N0AgGGJ/txqvz4f5RCuFaUYmJRvIS9Ijl8PBph7+XXaC5q5eLHY3do8ffzBIZqyOCfF6dColJ2xunJ4ACpkMXyCIUqFAGWUiSnKiVcrZU9/JnvpuTvS4UStlHGjoex7JBi2xUSqaOns52NhDS48bSZJh1ClZPCmBby6cCIAvEGJ7TQcbK9tP+76EO+qc+vhI6td9Ph9vvPEGd9xxR7/P5pYtW0hKSmLSpEnceOONyOXyAUGrUqmkpKSEBQsW0NDQwI4dO3A6nadeYkSG22c9Li6OqVOnUlpaetbXHEpUVBTFxcUcPHhwWKUxbreb/fv3s2vXLlJSUli1atWQKxfLZDKKioqoq6vD4/EMe0wxMTE89thj/OhHPxrXcqTxJgJ2QRAE4YLz2muvUVRU1C+DeSaSJHH06FHy8/NP2+kjPlpDZoKRbm0aDlMuHZ2dbNy4EXlvJ3lJ+kHrna12N9t370Mdm0JIFRXJeocX5hkLDoeDqvLDuKIzONju6xdUNnS42FFrpcpsBz5v+ajSmwi1V5NuVDAhLgqlQkZDh7NvcmlLD42dLoBIvfrJAWuHw8OG3YfAUktryMgORyylrb2kmrRcUpxKmimKtFgdhalGYqO0NARiMXja0SvhimmpzMqJJV6vxuML0OXy4fT6cXqDaJQyUmJ0TE4zsXhSIiadklAIgiEJtVJBr1/CbHfT3KvA3t3FgaYuLHYPPb1e6jpcHGzspjcQwO72UX7CRmtPL202Dz1uLxkxOpKMaqrNdv5e2sTW6r4bkrhoNQnRakAa8n0J924/2NTd7/FQKERHR8ewA/Z3332Xnp4ebrvttsi2NWvW8Oc//5lNmzbxX//1Xxw6dIgHH3wQr3fwG4dwtj0mJoatW7diNpuHde1TjXRRpAkTJjBhwgT27Nlz1rXmQ8nKysJgMFBeXj7kPsFgkOrqajZu3AjAqlWrKCgoOOOiUnFxcSQlJVFdXT2iMX3729+mqqqK3bt3j+i4C8mIS2K2bNnC8uXLx2EogiAIgtD3j/lvfvMbfvrTn47ouBMnTuDxeIYVuLTZPJhtHvxBJXOLZxIVdFBRUYFGoyF9yhSgfya6svoYbm+AeoWBtJNaKo7FZFPoy9ru2bOH9MwsmkKx/Wrp+24OHLTbveTER0UWCCpMMZCZW4i9vIwkdyO6uFyOd3k42NSD0+OnxxNEq1Rg1H1+81JltrOjthONLEicrx1dsJeKQDLOkIpQ0E+X20tTp4tVRQaWFSYSp1eTGK2hut2BxdaLw2kj0N3Gp91xVLc7CIVCJBq1aFQKOhxe3H4/yMDhCRCtVeJyB/AGgnS7/BwLScTqlPglMGjlHHZIXB7n5f2yVuw+cHr8hACjRkVabBQA5h4vbl8QuUyGSiHH6vRxpKWbzVUWLE4vFc06bs6EWVlxTEgw0m5zc7TNTmbswPelzeaJdNQ5+X3r6upCqVQOu+3iq6++ypo1a0hL+7zz/n/8x38AfTeNNpuNP/zhD6xevZp///vfXHPNNYOeR6lUMmXKFOLi4igtLaWgoIC8vLxhf6M02hVMi4uLcTgc7N+/n3nz5o15XbdMJmP69OmR0piT2zBKkhSpc9doNCxcuJC4uLgRnb+oqIgtW7aQm5s77HkABoOBO+64g+eff54FCxaM6HoXihEH7Jdffjnp6encfvvt3HrrrWRmZo7HuARBEIQvqffffx+3283Xv/71YR8TCoWorKykoKBgWBNUU01aUkxazDYPFW12luQnsnLlSo4fP86uXbuIS0wmKimLzEQTqpAXm7mJxJwS0nTRkRaF4fKSMy1CdKZ9QqEQpaWlGAwGZkwtIcvl69dnPdWkJS/JgE6lxB+U2FHbgcPdl4HucvmocRkpUAcw2I8TCiRQ1uKkpcvF6uIUFuclRPqf95Hh6XWTLLURBBp1E0iLjaLO6sIXkFDIZPT6ArQ7PESpVRh1auqsTvbUdSBHjk4Ww2ydhfJ2JU5PkJgoFTMmxFCUamRvXRdlrTZkMjm2Xj9uXwCnN4jDHcDl6/vpdEC0Vk2cTk28QYsrqEDpd1HTHkSjUpAWo8OgVeAPhqhqs1PX4aTT4UOhkJNs1NDl8nKszYkvFEIBuP19E0H3N3Zh0usw2z2YbV5aetyRVpYnv+ecsqASfF4OM5zAtbGxkU8++YR//OMfgz7e1taGw+Fg1apVZGVlUVNTc8Zzpqeno9fr2bNnD3a7nenTp58x0zzaYB36AurZs2ezdetWjh49SnHx2M/HCJfGHDp0iJUrV6JSqejp6aG8vByn08nkyZPJzMwc1c2CwWAgMzOTyspK5syZM+zj7r33XoqKimhpaSEjI2PE1z3fRhywnzhxgjfeeIPXX3+dJ554glWrVnHnnXdy9dVXj3qxAUEQBEEIe/755/ne9743olUTm5qagL6v/IcjPlrDkvzEvkWHItlsEwUFBUyYMIFdpYewlO3BkToBZaCX7OxspkwZPDAaTq/v8D42tw+TTt0vaKyoqMDj8bBkyRJkMtmgnU1yEqPJSdSTbNBCfSctITdVbXYONvRg9/shI47pejtF/nb2BNW09ATZWdsBQL3VSWGKAa1aiUHmZbq6DQc6XPp0rp6cCkCNpRary4tSIaPV5sPu7us+Y3P7+Oiomco2O3F6DSVpRnpkBhYn+lCoYpiQoGNiooHJaTH4AhI1VhduX4B4vQqdSolCLkMhlxEIgVIGGrUKg06JXqfAHwSPTk++yc+BDjkquYLuXh9BScIXlOhx+2ntctPr8xNn0NJm8zBZr6Ykw8jEJD2t3b1Y7W4APq4w02bzo5TLMOqV1Fkd1LY7Iiu7ht+boRZMys7OHtbn5rXXXiMpKYmvfvWrAx4LBoNUVFRQVFSE3W6nubmZ1NTUYZ03JiaGZcuWsXfvXnbs2MHcuXP7TZo+2dkE62EqlYp58+axfft2jEbjuCRfs7KyaG5u5tixY/j9flpaWpg4cWKkTenZKCgoYOPGjfT09BATEzOsYyZOnMjll1/Oiy++yNNPP31W1z8fRlzDHhcXx3333ceBAwciX+Hcc889pKamct9993H48OHxGKcgCILwJVBeXs7OnTu5++67h31MMBikqqqKyZMnRzpyDEc4aJ+YFBWZ0Amg0+mYPmMm6ZOm4e62YLFYMBqNkQlrp05cHE6v7/A+IOtXY93Y2Ehzc/OQQUyn08sHZW3sqLEAMvKSDVxekspXp6URpVbgDgUJBSWau3ohNhOFzsg3JnrRywOc6HHzSZWFTVUW1u1rYmNpJXUVB9AnpKNPzWfRpGRi9erPerX7cXkCaJUKLDY3leaez7rlyJiYaGBCjJ5otYJOp59uVQKJKh/XFBuZmxOPRinjcHM3qSYtWXFalAoFcVFqYqLUn/UkB5UcjFEKsuOiyIrT09zZS6XZxnG7nGSNn1STFrk8RGu3m2Ntdho6nQQ8HjJ1XmYnhJgf6ybG3Ya9qYoUdz2Tgg0sjzbzjYxuAOZrT3BlopVLYy1MVZqRd9SzYedePt1/hMbGRqxWKz6fb8Dr6/f76enpOWP9eqfTy5Hmbl79wx+49dZb+32L43Q6eeihh/jrX/9KZ2cndXV1XHnllSQkJPC1r33ttOc9mVarZdGiRRiNRrZu3UpXV9eAfcYiWA8zGAzMnj2bw4cP093dfVbnGowkSRiNRmpra3G73axYsYLJkyefdbAOff+P5uTkUFlZOaLjfvCDH/Dyyy/jdrvPegzn2lm1dZw+fTqPPPIIcXFxPPvss/zhD3/gxRdfZMGCBfzud78bl69ZBEEQhC+u//mf/+Gmm24a0YqTra2tqFSqYWczTxYfrcGkU1PT7sSkU/Vbvj6uIJPtlgZMJiOVlZU0NzczZcoU2pz0y6gPp9d3eJ9OpxeTTkWqSYvL5aKsrIy5c+ei1+sHPa7N5qHW4qLd4SYn3kV5a9+xJekmtEo50VoVu+s6aLP5aO7xcOPCOby7cSc3TezlY6uWnIRogsEQUd5O0lROKkNJZEom4tVybG4fzV29VLc5cPv8IO9bcbTL5WPbMR96lZIojQqdWkZmgg6NQg4yGdFRUSiU6fRa6mlWZ3PC5qHb5WdFYRLTM2PpcFpIi9HhDgRp7e7F5Q0QCIHTG+SEzU1ztwt/EBQKGZU9MuYaArhdTuLlQaakS2QZID3KgVYhYfPLcQUVoFDi8MswOyQ8ISU+SU58tI5QMMBcfSdvHlfhCYSIVstJ1CtQSn5i3F60Citelx2/101vby9RUVGYTCZiYmKIiYnB4/Gg1+uHzGaf/D78ff0HtDQ3c8cdd/R7TKFQcPjwYf73f/+X3t5eUlNTWbFiBW+//faIVzZVKBRMnz6duro6du3axbx58yL/L4xlsB4W7mpz4MABli9ffsZSnOGQJCmy5oFcLic2Npbo6OghP+OjlZeXx8cff4zdbh/2/IMVK1aQmprKn//8Z771rW+N6XjG26gCdr/fz3vvvccf/vAHNmzYwOzZs3nhhRe48cYb6erq4uGHH+a6667j6NGjYz1eQRAE4RxpaGhg+/btNDQ00NvbS2JiIjNmzGDBggVotWMz2fJkPT09vPHGG3z66afDPkaSJOrq6pg4ceKoJ88NNYHUbDbT29vLwoULkSSJY8eOsX37dhJT0piYkBnZv9Pp/ayVojRg4Z5Tnbw40q5dpWRmZvZr/Reuddcq5ZHFhPKS9OjUMnrcfjZXWpiZHUthCtRY+m4aVhUm09ztZsHEeBIMWqZNncbhI4e5MtVJV1QiCXI3cqeT9y3RWNxe8nxdFKUa8AVBrYAojZL0GB02TwClXE4g6KfLGaS+w8WUjBjq23sxOz3MyY5lZUEy1e0OdrXIKJIFwWclEDTgDgTpdnlp7OrF6w/R2NVLVnwUSoUcnVqJP+gjGIROh4+QDKLUMopManKNfgISfKfAT7sb2t1yeiQttV1K2twyTFFaJiYayE/W47N7aG3qwR8IkmDQkpliQiULQXcnfoUGpUqJ0aDBHghSbXHi9gXId6v47sSJZMbpSYiSI/e7abN00mTuoK6+Aa/HjVar5fjx46SkpAwZVKaatFx39Ve571bPgPdXp9Px7LPPIkkSs2efWjk/cjKZjNzcXNRqNXv27GHOnDmoVKoxD9bD8vLyaGtro6qq6qwTrQ6Hg/Lycrq7uykqKiIrKwun08nWrVvJzc0lKipqjEbd1/c+PT2d+vp6pk2bNqxjZDIZ9913Hy+88AJ33nnnRbWQ0ogD9nvvvZe33noLgG984xs899xzlJSURB7X6/U8++yzw64HEwRBEC4sb775Jv/zP//D3r17SUpKIj09HZ1OR1dXF8ePH0er1XLzzTfz8MMPk5WVNWbX/fOf/8zUqVOH/Y8v9GUde3t7z6oG99QJpFVmB5IUwt14lEmTJkXKH4qLi8nKyqKiooKWir1EFxYSG5VDm83DgYZukIFJpx7Wwj319fW4XC7mzp0buW6bzYPN7cNi9yGTSUiSjCSjJlK/bnf7qbW4sLt9bK+xsqPGissXYnFePCsKkyM3EHMmJpCTuIjSAweJctQjl4E9Lh9HWxddvR6OWRzoVApiotSgUdBu9+ANBPEFQthDfT3UbW4/O2o7SI/RUZJhQmORkxCtZVN1O82dbsw2N2Y0XJFuIykljVa7hjqri8OtNkLBEEp5X1cXo1ZFSIIYnYpOp494pY8p8SFKYiV0Sj/HHQqaexV4AxJvHZdj1GnIjIsiEJLQa2R4fAHKWrqJ1yspTDVhcwfx+P3kJOhRymV8Umnh+uS+lpEGjRy1Sk4gBFJIQo6MUAg6nT4aO9z4Q0HWlKSiiE3D4TOSnxvNiYo9JCYmYjabqaioIDo6mpSUFDIzM/HJ1P0mCg/1vnZ1ddHW1sbKlStH/RkcTGZmJnK5nL179wJQUlIy5sE69K1NMGPGDLZt20ZqauqIu7ZAX5ej6upqGhoayM7OZtasWZF5jUajkbS0NCorK5k1a9aYjj03N5ft27dTVFQ07HmUN954Iw888AClpaUjmrR6vo04YD969Ci/+c1vuPbaa4d8cdLS0ti8efNZD04QBEE4t2bOnIlcLue2227jL3/5y4BJnF6vl08//ZR169Yxe/ZsXnzxxX7Ls4+WJEm88sor3HvvvSM6rq6ujqysrGF1hhmONpuHHTUW1J5u8jT+Acmn6Oho5s2bh8Vioby8nIaGBuLSc4nVq4iPVvfL0g/VGcblcnH06NF+devhSalJRg35ydGRDHtzl4tai4u8JD1GnZqZWSpARp3FRX6SgWitEpVCxuYqCzOzYliUl0in00t1uxNXQI4iGCQoVxBjiGLNFDV76jqxOnx0unxkJ+g50NTNsXYH8Xo1sVFqfIEQvQ4vvV4JT8DLgaZuvrW07/ltP2alpt2JNxDE6fWjValwpmuI7m2nokXB4dYuAkGI0avo7PWS5FbjC4bwer3MiAtSmOFDKw9xqFPGOw1KjjskvAEZxQkyvp4VQKtS4vQGcPsDZMTqabA6qDK7CAHNXS6umpFBXpKe1p5eetwB6ixOjpntkAwWm4eWHi9RXSpidEoUCjlGtZwFE+OYPzGeD8rbaOjspfyEjSX5fSUmsWqJOo+HkpISVCoVfr8fi8VCW1sbW7ZsQR1loFcdh5SdOWSwLkkSZWVl5OXljWn2OCxcqiNJ0ricP8xoNFJQUMCBAwdYsWLFsEtjQqEQjY2NVFVVYTKZWLZs2aDlKUVFRWzcuJG8vDxMJtOYjTtc3tTY2DjkYmmnio6O5qabbuKVV175YgfsP/nJT1i4cOGAvxwDgQC7du1i6dKlKJXKES12IQiCIFwYfvrTnw7aASNMo9GwfPlyli9fzlNPPUV9ff2YXLe0tJS6urpIP+vh6O3txWw2s2rVqjEZA/SVPsTqlJi83chis4acxJqUlMTy5ctpaGig4mgF0So9yUkFkTr1k7Pl8Hn3GEmSOHjwIJmZmf3q9E8uyzk527+zxkJjpwubx0u7zUditJpFeQn0+nyAjBSjlh01VjqcPvKS9NS2O/jHwWawW8hW2flLs4458UHS6stIyZnC1TMy+POeJty+IL2+AFaHF28wSIpRS2Z8FI2dLly+IMFQkGAIunv97KjtpOezmwCnx4fdEyAQkJDJZOyw6rgsvoO6EwpsHhlRKpAjw+kJ4Pf0MkPfy8REL21uGVvMSva1y3AFZMgAib5yhDJriBuzJfRyP06fjC6XD1tvgKYuN8HPXh+LK8C7B5vJjNdj7vEQDElo1XIC/r5VaWVy8PvA7fWjVkAgGCBBH8XMrDjykg0s6PXh9gfwBfrOWJJuorGxkdjY2MhNk0qlIj09nfT0dHw+H1W19bQ0N9Jc1orKlUN2dvaAUrDm5mY8Hg95eXln98EbRLhmvaSkBLVazb59+5g7d+6A1VPHSrg0prKysl/lxFCsVivl5eUEg0FmzJhBcnLykCUmUVFRZGdnU1lZyfz588d03BMnTqS8vJzc3NxhTzq/++67Wb58Ob/4xS9GPM/gfBlxwL5ixQra2toGfGBsNhsrVqwgGAwOcaQgfO7O1/eN6rhXb7t47oYF4WJ0umD9VAkJCSQkJIzJdV955RVuuummYS+EAn1lJcnJyWOaeYyP1jBR66ZboSQmIeW0/dPlcjkTJ04kKjaRyqpqWo+WonbnEDSkUNfpjWTL+9W6H6vF7nRhnFBEp9Pbb5Lrqedvs3kiix+53AEq22zUqxT4giE8/hDdTh+HmnvodvkIhiSaOnvpcvlwWNuZEu3gw3YDVh9s71SzKN6NsqkckgvQKGREqZVIMohSK8lNMDA1MwavXyLJqCNOr6G5S0dTl4tAKERzZy8ujx9fIEhIgkBQwhsCrz/I7hYXxqCMq7JD/LZSTpRaiUklMSfZQ3FML8ddKl6vVdPoCOHxSwQ+C9JPXiDeL8k4bpdRHCfDZpHj8gTpcXs5NZqwuoJYXfbI7zL6avABlDIZSca+b/09vhBun0Sd1cVvNx5DrZDj8Abo9Unsreump9dPcboJn/kECo0h0u3n5HkI3S4fR2wa4lKLmWSSsJ5opra2ltzcXPLy8lCpVAQCAY4ePUpJScmYfcMTNtgE01AoxN69e0e12NBwyGQyZsyYwdatW0lLSxvyGi6Xi4qKCqxWKwUFBUycOHFYgfKkSZPYsGEDnZ2dxMfHj9m4U1NTKS8vx2w291vM6nRmzZpFfn4+69at46677hqzsYynEX/CJEka9A6qs7NzzGcAC4IgCOefxdLX2jAUCvXbPnXq1DE5v9Pp5K233mLLli3DPiYYDNLU1DQmk/xO5vf78Xa2MiG3kLxU47B6rKfEGkhZMBu73d434a6pieS0HCYl55Bg+Dwj29TejbWlDrcph+PHupiZLbEob+A5T554ujgvHpDR2t1Lp9OPJxBAq1IQF60CJDRKBUoFWB0+yk/YmJOqZIbBwU57LLagjHi9jEkpBqq7tWiUNpLaqkk3pJCeYKTD6UWOxIwJMawsTKbG4iDOpaIg2YDV6WVPXSftdg9unx9/KITbHwBJgaavKgdfQEJCYlOrnAemBpmdECIr2seCZInDnTKeO6zA4ZeQIREIQeCz56dVgOeUaLzKJqMoJog3ICMYCkQC+nC0ITHQydt6/RKSPIQ/GMTllSLXKje7+Nm/j1KQYsDjC1Lf2cu2mnYy46K4Od3GYXc8Lx0sJSZKTTAExigVc7N72VvfRWWbgxSThjsWT2TRggV0dXVRWVnJhg0bmDRpUqTDTHp6+pCfp8He19MtsAVDd4PJzMzE7/ezd+9eli5dOi4lMgaDYcjSmEAgwLFjx6irqyM9PZ1Vq1aNaPK5RqMhLy+PioqKyJoDY0Emk5GTk0N9ff2wA3aAu+66i1deeeWLF7CHl9aVyWTcdtttaDSff9iCwSBHjhxh4cKFI7r4Sy+9xEsvvURDQwPQN6Hnxz/+MWvWrAH6bg6efPJJXn75Zbq7u5k3bx6//e1v+81i9nq9PPTQQ7z11lu43W5WrVrFiy++2G8Vq+7ubu677z7Wr18PwNq1a/nNb34z7Gb7giAIX0b79+/n1ltvpbKyMtKDXCaTRRI3Y/WN6rp168jPzx/WhLRw0KP0dKNSqZBpDZS32iJB0HCDoqHU1tZiMhmZW5TTL6A4XY/1MKPRyIIFCyITGMu6zUyZMoWEhAQkSaKn5RimhBR8SgPtXTbsbv2g422zeTjY2INBp2BJfmLkefkCIcpabagUMjJMUTR1uumxu8mMjaK5y43d5kCvd+CISkUdVOHptqNVyYmPVjEhNorN1QGm6mxMNpoJKg2U2XwEJBlRahV/39/MxkoLBo2CBKMWtUJGfYcLq8ODTq0EJDx+CbksQLRaDQQIBEIEJej1Q4NDxs15EpU98MsyBSd6+167vtIXUMuJRNiBICigXwa92ibjK5khPIEQQUmGHFABkgwCg0XrpwgAnb19+fvQKY81d7nxBoMoZHKauz1IgDZkI5gaZGdLL609XlQKGRPiokAWxbq9TTR1ughKIJdBeYutr/tPXBwLFy7keFMrVZVHCXrdTMjJPfPgPjOcm78ztW7MycnB4XCwd+9eFi9ePOaZfRhYGiNJEs3NzRw9ehS9Xs/ixYtHHT/l5uZSX1+P2WweVRvWoWRmZlJVVYXL5Rp28vimm27ioYce4vDhwyOa6H6+DPudDk8SkCQJg8HQr2epWq1m/vz5I75LycjI4Nlnn43Ufv3xj3/kqquu4uDBgxQXF/Pcc8/xy1/+ktdff51Jkybx1FNPcemll1JdXR2pObr//vv55z//ybp164iPj+fBBx/kiiuuYP/+/ZE7w5tuuomWlhY+/PBDoK926ZZbbuGf//zniMYrCILwZXL77bczadIkXn311dPWp56t//u//+POO+8c1r7hoEff00hyajo7ajtweAIwIZb4aM1pVxQ9UzDv9/s5fvw4CxcujDzXobqDDHUumUxGamoqSUlJ1NXVsWfPHpKSkoiLi8PncbNq0UL2NPTQbvdh1KkHDeJSTVoOyyWq2x0kGjQsykv8bBxq7B4/OpUSX1DCYvPS4/bh9Yfw+f0sS3LR7NWRmJxIIm4kJIIhCXtvkORkHalGHR+3eFiNl6zQMYyqZNArae7u5eMKMxanHzmgVtoJBPoCahkQpQoSpVYhhST8SNiCQQJBCIYg2yBx3cQg3uD/z957h8l1l2f/n1Om9769aSWtpJWs5iLLFdtxARvTExNaCMn7UpxAHGooIcAbIC+El/wwkBATQgJJSBycBIwtuWFZsq1iaVcraVfSanuZnZ3ezpzy+2M0413tStqV1qFkPtelS9rZM99zpmnu85z7uR+YKcCplFgV6/ByFVydo6JVFjKRK1fd21xwKlUW3frcBZaAcZ7NVQPiGYXcnB13eg1OJgUskoTdLKFq5QOMpgoMz2aI53QkAZK5EvuH4jitMnd01xNwWijILqbzoJZMGEPDFLJpNm/efN4s95NTaXrHkzR5bRccsLWUnHVBENi4cSPPPfcchw4dYvv27Sv+uaxYY5566im8Xi+nTp2iWCyyceNGGhoaLmt/JpOJNWvWcOLECerq6lbs2K1WK5FIhKGhIdavX7+k+3g8Ht74xjfyve99j//7f//vihzHK8mSBftDDz0EQFtbGw888MCK2F/uvvvueT9//vOf58EHH2Tfvn2sX7+ev/zLv+QTn/hEtbr/d3/3d0QiEf7xH/+R3//93yeZTPKd73yHv//7v+fWW28F4Pvf/z7Nzc3s2rWL22+/nWPHjvHoo4+yb98+rr76aqDsldyxYwcnTpxg7dq1l/04atSoUePXhWeeeYYvf/nLHDhwgImJCf73//7f1f87AaampvjIRz7CY489RiKR4IYbbuDrX//6khMaziUWi/Hcc89V44IvRr3HSqmQZ2Q0SaqhkxOTKZp8tgVZ6sl8aYEQvliFc3h4GLfbvSR/8MXWkiSJ1atX09zcTF9fH729vUQiEQC66lzV4UlzH9fck4C2oJPZTAkQqlGTI7M5PFYToGOWBG7dEGYmU8QmiZgSSYq6xIGUg+sK5ZSVjqADkyhSLKn0jCYxBIN8UeM7fTq/2amz1jPJnoKfgYxSvmpCWaCX1LJYNgC7BCZJRBAMHBaZTLGEdjY28fZmnRvqDHaPiTw+JtDuht/r0ngxKpAqzRdiIvMr3xIv76OMQH9SYK1H51Tq8of3zMWAeWIdYK3H4FhcQJJEtrf5GYnnySkqRVVF1c4emwFZRWEoluHFMxIOi0x3g4djg6O4yPM3Z2xctzZCq1XniSeeoLu7m5aWlgUitHc8yYuDcWiHe7c0sRjLGYokiiJXXnklTz/9NP39/a+IjpFlGZvNxoEDB1i7di2dnZ0rVs1vaWnh+PHjzM7OrqiXva2tjYMHD9LV1bXk5tPXv/71PPDAA/zFX/zFipw8fOYzn+FP//RP590WiUSYnJy87LWXPsP5LJ/+9KdfEa+6pmn88Ic/JJvNsmPHjuolk9/4jd+obmOxWLjxxht57rnngPLl2lKpNG+bhoYGuru7q9vs3bsXj8cz7wvnmmuuwePxVLepUaNGjRplstksV1xxBX/1V38FULUsQvkK67333svp06f58Y9/zKFDh2htbeXWW28lm81e0v5+8pOfsHnz5iX7gANOC5biLHV1dYiyBTAwjPm/72700FXnIuw2k8yXqk2F9R7reSuccwcwLYULrQXlCnzvWJKsKuD1erHb7SiKwu7du8nFp9nQ4K5W77sbPfOuDkwkC3TVubh5XZiuOlc15z2eL+FzmJjJlHPYLbLEq9ZGiBAnaNEZ0IIUSjqP9k7QP51ix6ogdR4bsVyJvvEUiZyKLAoYCPzgpEh/0mCHK0YilaZkGISdMnUeEy6bXK60i2WxmyhoxLIlBBFaAw5ubHfwwBUaaz0GX+2R+NmYiE65cfRYXODVLeeaUljQQOqyyoQc8wXgiaTAWs8ySuqXiCwYdLgNjiUFjk+kGY5lmHjyezz54Vt47uO3cuSzdzH0xdcw8le/TUk1iKYLvDQ8y5/96Z+yfUMnb71lK3/0sU8yMznCbE7D1dDJmg1X0HO0j5/veW7e2PtYpohFFllX76K7YfE4w0uZYGqxWLj66qsZGBhgfHx8RZ4XKGux/v5+du/ejcvlQhRFIpHIilpvTCYTra2tnD59esXWBAiFQoiiuCxxfOuttzIyMsKJEydW7Dg2bNjAxMRE9U9PT8+KrLukV2Dr1q3s3r0bn8/Hli1bLngWcvDgwWUdQE9PDzt27KBQKOB0Onn44YdZv359VUxXKhIVKpc8oDyFzmw24/P5FmxTecEmJycXjUAKh8MXfFGLxSLFYrH6cyqVOu+2NWrUqPHrwp133lntIwLYvXs3f/qnf0p3dzfT09Ps27ePr3/960xMTHDllVfyjW98g3A4zA9+8INLGvX9yCOPcM899yx5e13XGR4eZuvWrUh2F9F0gXReYyI5fwJlwGnBYzMzMJXBYyvH9lVSQBYT2ZOTk+i6jsUdmOeJPx/nWmXOnVBaiXTUNZXx/n6uuOIK6urqGBsb4+jRowwODrJx48Z531+LRTtOJAsUFBWLScAsy/gcZqJphXhGYTRRIJ+cwZuP8h+TLsYyGdJFFVUzyJc09FXQVe+mdyzJSCKL1yZz24Y6/vPIGImsxr+cFnlTh86bWwr89XGJJr+HK9sCPHxolCRly0ulCq4a5Sml14Z0dvgL7BoT+dmogM58PfDIsMhHr9DYM2kwnF1ojYFydT1dUKsJLxX6kwL3rQKbZJDXXrkJlB0ug1wJps7q6mNTORIzOUzBFurf8vnqlQBRFMkpBioGQ0/+A8m9/8Qb//dH2NEZ5ts/+HeOfucj1DX8A/tO+9nc4qMUXo9amOTJJ5/kyiuvJBQKlV+/ksHmFh+dkYXxgZci1it4PB62bt3KoUOHcDqdi+afLxXDMJiYmODo0aOYTCZ27NhBIBCgr6+Pvr6+eTaxlaC9vZ0nnniCfD5/XivRchEEgdbWVoaGhpbcfOpwOLj11lt55JFH6OrqWpHjkGWZurq6FVlr3rpL2ei1r31ttcn03nvvXdEDWLt2LS+99BKJRIJ//dd/5R3veAdPP/109ffnvkHOl1JzoW0W2/5i6/yf//N/FlzWqFGjRo3/aRw7dmxBIeb++++vNp1KkoTZbObZZ59dtmAvFos8+uijfOITn1jyfaanpxFFkVAohCAIXL86VLWRnOsrrwhgqyzy84EoJyZT2M2mRaeRnj59mvb2dqbSykUbAxejUh2fO6F0dcRJaXYUh8NR9es2NTVRV1fHyZMn2bNnDw0NDaxfv37RtI25a8azJdLFEj6HmS0tXoqqjl4qEkhP8lLOQ/9sEUU1sJklZNEgkVPYdWyKQ8NxZjNFskWNvokUiq5jkSQEQUM3BP71tMjr2nR+t0vj30cLHB1LYZZfvvhecZKIgsE9rTpXeFX++oTEiYSwqF98tijw5ITA69s1/rJXAhZ+z1aq7flzyu5JRWA6D6s9BkdmXznBvtZrcCJZMQDNQZQQnD7mnkeolPVCav+PCex8M6+7fjME2/jzHXfwxus3Mbb/ccw3dp19r3mp99SRiU2yb9/z2CKtKFY/Ybd50ZPEyxHrFRoaGojH4xw8eJAbbrhhyVaQuSSTSXp7e0mn06xbt26erWf16tU8/vjjRKPRFc1/dzgchMNhBgcHl+w5XwotLS2cOHGCQqGw5ASbe+65h7//+7/nwx/+8Iocw8DAAA0NDdWrIF/4wheWfOXuQixJsH/6059e9N8rgdlsrjadbt++nRdffJGvfe1rfOQjHwFY0Ek8PT1drbrX1dWhKArxeHxelWJ6erqaWFNXV8fU1NSC/Uaj0QXV+7l87GMf40Mf+lD151QqdVmjr2vUqFHjV5Ebb7yRhx56iEgkQqlUYvXq1Vx11VV861vfQlEUvvKVrzA5OcnExMSy13766afx+XzLSmiofCcs1hTaO5acJ7Yrf3rHkkwmCwB0hh0LxFMqlWJ2dpbt27eTKZVvW0oqzFzmnhwUVJ16jxWnCXa9dIZrrrlmXoFIlmW6urpoaWmhr6+PXbt2lWMCbUFORfPV45+7ZqagcnJaZXAmS4PHgd9uIjVyismSmaToJOIWsZskwm4L0VSRoXie2UyB2VwRt9WM3VTOIu8dTWGSzg4a0kA1BH54WuTNHTr3Nub42/4SosmMVYb8WbXukA3etUbDJsP/PSKRUxcX6xV2j4lcE9LYFjQ4MLM84V2xxRyZXdbdlsUaj8FTEwuFrRofZ/T/eztIJiz1a/De+A5M3jrU5BRaNs5tOzYznhfIp2W2+i00rdtGeriPgak0iVyJZr+deo+V1tZWpvMCIyeOkJPjNG/auODkbyXEeoWuri6mpqYYGBhYlp+9WCxy/PhxRkZGaG9v56qrrqoOkapQaRLt6+urniSvFB0dHbz44ousXbt2yZNVL4bNZsPr9TI1NUVra+uS7vOa17yG9773vUSj0XnDzC6Fq6++mu9973usWbOGqakpPve5z3Httddy9OjRy/brL/tUbGRkhNHR0erPL7zwAn/4h3/It7/97cs6kAqGYVAsFmlvb6euro7HH3+8+jtFUXj66aerYnzbtm2YTKZ520xMTNDb21vdZseOHSSTSV544YXqNs8//zzJZPKCMZQWiwW32z3vT40aNWr8T+Puu++uFjdMJhP/+q//Sn9/P36/H7vdzlNPPcWdd955SV+4jzzyCHffffeSRYBhGExOTi643FzxixcUFUEwKCgqvWPJed71Oo+VBo+DZr9jgXiqXEK3WOZ7ypdD5X6dEVf1/gMDAwQCgfN+Ued1CWv9atZfsY3x8XFGj76IkJ/FIgnzrhZ0RlzcubGezS0+PDYzgmAgF+LYjAI/j9lxWmS2NPuIuK3kijrpokZeKZXjC2WJNr+DW9bXUee2YpFF7GYTpjnf/gYC/3xaZCAl8DtrSpSKBQyjXH9uthv80UaNrCrwtV6JuCLgtkkXFA+KLvDIsMg9LTpmcXme9BOJV9bHbpcNmhxl+81cLPVrCbz6Q4Tf/FkCd3wALRtn8vsPoOVTaJk4ADd0ePjXUyL7z8RJ50s0NtSRTcbYfWyaH744yo8OjJ61XUFHU4Tg6i14ZYWZ0z3zLLbLEeuV93blvbwYkiSxZcsWBgYGSCaTF30OdF3n1KlT7Nq1i0KhwE033cSGDRsWiPUK7e3tFItFxsbGLrr2cggGg1gslhX14EO5ULscH3tDQwNbtmzhJz/5yWXv+8477+QNb3gDGzdu5NZbb+W//uu/gHJoyuWybMF+33338eSTTwLlSsett97KCy+8wMc//nE++9nPLmutj3/84/z85z/nzJkz9PT08IlPfIKnnnqKt771rQiCwB/+4R/yhS98gYcffpje3l7e+c53Yrfbue+++4Cyf+vd7343f/RHf8Tu3bs5dOgQv/3bv119ogDWrVvHHXfcwXve8x727dvHvn37eM973sNrXvOaWkJMjRo1alyE3t7eeT9v27atamOcmJjg0UcfJRaLLbtKaBhGVbAvlUQigaZpCwRwxToymshjGAKjiXy1eRPKYvr61SG2tHqxyuI8ATSdzHFmaBhfpJGTU2n+/dAoJ6fSy3osi5HL5RgcHGTdunXV284VX5Xjzol2brzxRrx1LTA7zGDfIc5MzDAwleH4ZIresbIIu351iOtWh2jxmlBnhsk6GmnwOtE0ODmd5vBYipMzaaYyeZI5Dc0Au1miqOkoJY03bm9iW5sPm6UcZThfALws2t/TpWGRDJocBu/doHFoRuC7/SKKLiAA2YK2IOv8XA7MCMQVuKXhYluWTwwqp0cnUwJ+C/gtr4xoX+MxmMxB+pwUG9uq7TjW7sQcasPWtpnwGz8DQLZnNxUH/oEZgbG8wFS6wLHJFA6zhCyKIIJmqMQyRU5MJquv1w3rG7njlptw2Kzs2bOHQqGw7Mr63EbkC+Hz+ejo6ODQoUMLBpzNZWpqiieffJKhoSGuvPJKrr766otOF5Ykia6uLo4dO3bBtZfLXM/5SlJXV0c0GkVVFwsQXZy77777FYn6djgcbNy4kYGBgctea9ltv729vVx11VUA/PM//zMbN25kz549PPbYY/yv//W/+NSnPrXktaampnjb297GxMQEHo+HTZs28eijj3LbbbcB8OEPf5h8Ps973/ve6uCkxx57rJrBDvDVr34VWZZ585vfXB2c9N3vfndetecf/uEfuP/++6tpMvfcc081AaFGjRo1apyf73//+2SzWTZu3LigAnf//fczMDDA/v37+bM/+7NlrXvkyBHi8Tg333zzku8zOTlJJBJZ4NOdax2ZShcYi+cpaTrWs17sudXq45Mpnj0Zo8lr5Y7uek4NjaAJMlmsnKrE78GiDYKLMXdtoPrv4YETNDQ0VGeYVH4317Izt8lUEATC9U1Ma3bs2izjxw/iDdSRFMMcHErQGS5fHbBIApnxU1jdPq5btxrTYIy9p2KUdANRMMjkNbLFEjrlipzbaiKeLTKTLjCezKNoUFR1REFE4mXhLQmgGWXR/uYOnQ9uKFtgHh0VeXaOfcQAckualyXwb4MS79+gsW/aIK6c/yqKQflgRR2KusCZTFlY75teGA3psgpIgoCi6lX70nJY66n41y+MaLZiDrZRio+zafvVTAG7BpIQDJEvljg2kWZqeormhnru3tjAVLrAaLzA86dn6ZtIc0tXmDs3NiDLMtu3b+fQoUM888wzKIrChg0blnyCe25c6QUf29q1TE5OLmqNSafTHD16lNnZWbq6umhra1uW3725uZmTJ08yNDR02Raec9c9duwY6XR6nra7HFwuFxaLhZmZmSU3f95zzz18+ctfplgszhsMerkUi0WOHTvG9ddff9lrLVuwl0ql6oPZtWtXtbu/q6tr2R7G73znOxf8vSAIfOYzn+Ezn/nMebexWq18/etf5+tf//p5t/H7/Xz/+99f1rHVqFGjxv9EMpkMJ0+erP4syzKPP/44u3fvRpZlstkskiRVo9n+4A/+gHvvvXdevO5SeOSRR7j99tuX9eU4OTm5aN77XB97QdV5diBKuqDSFnTQGXHNE+l+h5l0rsSoYZQTPOJTBOsaafDasJnKhZ7zxe8txlwRDnBoOM5Jk4E4Mcqrbr65OjSnu8Ez78SikkTT3fjyvgqqTloxyAo+mjuClGaGKA4foaR4GJHqGYrlyMenaJXSrLriajojLgam01hNEld1+DgTzfL8YAIDMIlgliUssoSGwXi8QLpQQjegpOvoujEvatEwyoJYQ2DvlMBVIYOiBodjAuU0+LJgqA40WgLDWYGXYgL3tOr83cCFLVOaDnYzFBToT4qs9Rjsmy7/ziZB2GMlU1DIFHQssoDHbsErGKQuYBVZiMFaj8G/DF5cqBpqiVJsBFvzeu7bEuJ5l4/4qZfwBDtJFHSOjs7Qf/B53vWHf0JXvRswmM0ojMSyJIsasVS5In5Ve4CA00JbWxtjY2OYTKZlTfg83+CuxZAkia1bt/Lss89SV1eHx+OhVCpx4sQJBgcHaW1tZevWrZjN5iXvv4Ioiqxdu5bjx4/T1ta2Yl52i8VCfX09w8PD86bYXw6CIFRtMUsV7FdccQU+n4+nnnqK22+//ZL3/cADD3D33XfT0tLC9PQ0n/vc50ilUrzjHe+45DUrLNsSs2HDBr75zW/y85//nMcff5w77rgDgPHx8RUNwK9Ro0aNGv/97N+/ny1btrBlyxag7LcdHx/nlltuYXBwkD/5kz9BlmUmJye5//77edvb3rbkoUdzWa4dJpfLkU6nL5pUUe+x0ui147KYqKSApPIlzkQzDExncNvM3LmpnutWB/HIKplUkiu7VxNwWuiMuLh3S9Oi1fXzeYnn5rHXe6y4rDJKfArZ7uZMUmP3sUl+dnSK5wdj1ap673iSQ8Nxjk+m6R1LlkX9WQ9+Iqfw4uAsPzg4xWElwEs5P2ExRSB9ikx8mkZiHM66GYzl+fdDo2WrhAFOs4nXbm5ibcSJ3WIGg+pVBpssY+gGBho6Bppazq6X52gujXKlu9Fu8L/W6+yakBjKm3jveg2P2cBgYZY6wOKu55f5z2GR9T6DVa4LW1wMQFHLf59KC3R5DbwWAYsEfqeZ91zXQcRtQxAAQac96OC6zhDvur5c7X3TlkauaHLR4rPQ4rWyKmjDaxWRKJ+8WCQIW8BjhlOphWIz/sR3KAz3UEpMUhw/QfTfv4Cu5LjlVa9CQ8C29R6Se/+FXP9zFKNnGPzXryCZLGy7+dUMx7L0T+fIKzqqAUpJ5dRMlt3HpplIlm0w+/bto7u7m3A4zHPPPTfP076SeL1eOjo6eOmllxgcHGTXrl0kk0luvPFGNm3adElivUJDQwOqqi4a5HE5tLa2Mjw8jKYt6dLNkqgIdsNYmrVKEATuvvtuHnnkkcva7+joKL/1W7/F2rVref3rX4/ZbGbfvn1LboC9EMuusH/xi1/kda97HV/+8pd5xzveUe3uf+SRR6pWmRo1atSo8avJTTfdtOiXnGEYGIbB/fffz/33339Z+xgfH+fQoUPVgs9SmJycJBAIXFRwBJwW7txYPy/qcWQ2hyyJ1LstdNWVxfjxyRTHTg3hC4SWVOWvVNKTeQWPzVyNjjy3Arqzw8++8SMYwXaePD7NVCpPMqtQVPXqfl8aTiAIBrliiUxRYzKVx2E2Ue+xkFM0dMMgXVQ5Np5mNmtwQHWxM6Kz1hJFNQSSqszPjk4hCSI2i0BR1emfzrCh0ctvXd3KVx4/TjqvIEoQ8lgolgzGE3kUVUfXdaxmAZMkUVBUlLO2Egnwmg1+f53G0+MiA0U7g4rIVe40H1iv8fU+iaQyPx2mXJFfHAGwSuUG1CfHRd7YrvH/jkoL8tVlwCyBJIJugCwKpDQJSdBo80okSybWBK04yfJ7mx0cHy1gk3Qc8ixWQcdVKD+vO51TXNspYrNaMVssDMaLvDhSYCCuUxAs3LC2nmJiirF8HpfVROyc0adqeoaZ//gyWi6FZHdjaeii451/wRs2BfnbEyKuq9+IrirMPvYgWiGDpWEt69/5fzgxW+KqdjfXdQaYThWYSimMxDIkiio+u4zDyLN374GqZ13XdQ4cOMCevfswN6xDEAUiLitT6SJg0FXnXnbD87kEAgFOnjzJ8ePH2bx5czVS9HIRRZH29nZOnz69ojnjwWAQSZKIRqMrtm4gEEDTNBKJxIJZPefj1a9+Nb//+7/PX/3VX13y8/XDH/7wku63FJYt2G+66SZmZmZIpVLznoTf+73fw263r+jB1ahRo0aNXyzf+c53+OpXv1ptmlq9ejV/+Id/eElDkir853/+Jxs2bGD//v0Eg0HC4TChUAiHw3HeL8rlXN4+N+pxPFlE1XR8jvI00WS+xMGhBOHsNDl/PbFM8aIiqWJnSeZLZduLVeb61aEF98snZ7BbLVj8QXKxGabTRUqGTkktS9tUXmUqVUCWRKwmmWi6wMB0FrdFBgxsJpnrVoeYShU4NBxnPJFHEgRemBRZ0wIl2cGN7ihDRTvHcw7MZyePl1SdZwemuaUrwo1rw+zum0IWywJ4JJ3HEMAsi+i6jmYYFIsqylnNKgIm0eBdazX6kwIvzJrY3Gwnlinxn6MSdzUYfGCDxtePlkV7hfNZY0wCOC0SPocZRdU5ljW4ti7PdQ0CT41AxXrusop4bWZsJpGA04quG1gkATSFuKJwT2MRj1VFMtJY0llCAR+htRFGUyqD8SIDMwXafDY2WWbYtnUrgiBQKBQoFosU9Dgb83muDKq45DyGPIbu1xjOylzT6qVnMs1w/OUqd+i1H1nwON7QoTGQgv6UiCCA97q34r3urdXfzwI/6Rkn5LTwkbvWV/sZHusbZ/+ZJPVWjb7DB2hdtYas2V+9OlP0tDA7dZjokcOc0oNsafExmymBwKIzApZKLpfj6NGjTE1NEYlESKfTRCKRFY1ibGtro7+/n1QqtWLpeRULy9TU1IoJ9sqE1snJyfMKdsMwSCQSRKNRotFotSn48OHDbN68eUWOYyW5pFmzkiQteALa2tpW4nhq1KhRo8YvCZ/85Cf56le/ygc+8AF27NgBwN69e/ngBz/ImTNn+NznPndJ6/7Hf/wH9913H9deey3RaJTx8XF6e3uxWCyEQqHqn0rlu1QqMTMzw6ZNm5a9L6ssYjcLeGxmzsQyFFWdoNNMwGpgyRQZSEmEJlPs7Lxw/nLlJCCWKS6Yrjp3yunJEydpam6hvt7NTKZIPK8gCQI+h5nesSTpvILDKtPgtXB1e5Cx2RwIAiZBoFDSsZkNAg4z8WyRbFEFAQwMdoZKJLHjrOtkNpXGVRrhZs8MY7pKyuxjRinQO1KeyN3gsVHSdCbiRWKZIiZZIq+oaLpB4axalsVydVwCnBZ4Y5sBgsjjEzJOs4RJEimUVAqKwQ9PiryxQ59XaYdyFX0xw0HAJWM3m+iKuLDIEuPJAi+lJF5Vl2G4YGc2q2G1yGxp9tAWcpDK6zQ6RdrsRYzMLLlsmqwmIiAQaO1i5/qWBQ3P3997hv70NFanDUoz+Hy+edsUbElStgxWk0ixWKDVCcP9PbS5RNr1KW6NOOlPuXhqTGUiVUTXdTLFl09CGu0G24MGf374wt77XAl+dGAEu0ViNqOwrsFDk9eOEswQyI0Qal3Fk2MGJinKdavL77FdfVH6Jyy8JpwkTBK/I0Jb0Mn5pvBeDFVVGRgY4NSpUzQ2NnLrrbdiNpt54oknGBkZWRE7RgWLxUJjYyODg4PLmp9wMerq6jh06BCbNm1asROMuro6BgYG5iU1ZbPZqkCPRqMYhkEwGKShoYErrriCO++8k0ceeeTXQ7BPTU3xwAMPsHv3bqanpxdcOl1JD1KNGjVq1PjF8eCDD/LXf/3X/NZv/Vb1tnvuuYdNmzbxgQ984JIEe6FQYNeuXXzpS1/C5/Ph8/lYs2YNqqoyOztLNBplYGCAAwcO4PF4CIVCiKKIw+G4aPzcovtTddxWM6m8iiyKiAIMx3KUElEMwUq2BIPR7JKtCJWIyHOTYQ4Nx8mmU9Tls+h2f3W7kMsCCKTyCv91ZJxCSSXkNLOuzoPHZibSaqXRb+foWJL+6Qx5RePfD41yfCqDzSTS5LVh1VXa7Unirk6mUgqxDJyOe3CTY2cgScTIUMDFRMng4HACQ9OZThZRDCjkdfw2AZN4VrSffRyiXvaf2y0Cb1xjZrU9zz8M2cmWiii6xsBUmnSxhM0s4rZLPDpe4tWixgfWa3yjT0KUZQqqTkktB7YX53z1q6qBJkFe0ckpGlOpAmO6xlqnzLu6raSsdRiGwau6IshqjlOnT5NLzGC3BGhavQqzy0f/RILEqZdY31a/aD74NR0BnFaZdWEHx/efXvD7uekqAaeFeDzOxGmZO++8g1wux+TkJM4zQ6y2ZDg8K/NCVCJmEkjmVIq6wevbNZ6eFIgVLy4eo1mVbz11EkMQMR8a5fpWOzcHUkj+Zh4d0jg8MovXLrO91Ud7yIndKpLVRJ5NergtkKTerLC5s+Gi+zkXwzAYHR2lr68Pm83Gzp075xVT161bR29vL01NTSs2mAjKBdq9e/eyYcMGZPmS6r4LCAaDqKpKMpnE6/WuyJrhcJiDBw8yODhIKpVienqafD6P3+8nFAqxatUqvF7vvLScu+++m2984xvLSjz872LZz/Q73/lOhoeH+eQnPzlv2lyNGjVq1Pj1QtM0tm/fvuD2bdu2LSvjeC5HjhzBbrfT1dU173ZZlgmHw4TDYTZs2ECxWKxWwUZHR9F1nT179lTtMx6P56LfP7FMkWS+hMsq0+R1UOe1EHJZefzoJHVKihnZQcBjxjCEarX8YutVhPrcdJd6j5WTVhkpngSHj0Z/+cQi4LRUK/d7Ts6QzqvIssjaOjdum5lDw3FcVhmLLDKeKOAyS8iyyOBMllxBxe+ws7HJTTA3xphip87tZJ2vLO6Pjifon9UZzDjY4C5wpT9GGBOPjklMZ41qpdgESIKA32mmqGmUlHKRTaNshdkYEFlnzzEkN+KwFrDIJewWGVXXSeU1JBGuafRR57ExlsrhKsX5QLfKT6ct5HQRRTWwm0WmkgWm06WqF10QDYqqzmQ6z0w6j8VsZlwM0KBM8+prr0BVVfr6ekgkErS2ttK2ddO8E7I6n4vHRo9BMQMstNt2Rlx0RlyUSiWOL/JandtbEI1GCQaDCIKAw+Fg1apV5CwBho8PU69O8rvePMeSEntnzNiMIiErfPvY0nM5MiWQ0Ak5Da51J9gbs5FPq5yZTRFLFzEEG6OJPNvbA7xqbQTDAJMsUJRcjAwcZXVT2RK2VOLxOD09PeTzeTZs2EBjY+OCz0NDQwMDAwOcPn160XSlS8Xn82Gz2RgfH6elpWVF1hRFkXA4zOTk5GUJdk3Tqif+lQr6iRMnaGxsZOPGjQSDwQueZFx33XW85z3vWfF4x5Vg2YL92Wef5ec///kv5eWCGjVq1Kixcvz2b/82Dz74IF/5ylfm3f7tb3+bt771ree514U5cOAA27Ztu6jYtlgsNDU10dDQwMTEBJs3b6ZUKhGNRunv70cURYLBIKFQiHA4vGgP1USywHSqSFvQicdmqlZd+0ZjBBMKMVczN3XXU1D1JVkRzs1RrxBwWri2w8fzYy/Rve7KRYV/V52LVL7EbLZIk9dGUTMQBUjnNaaUAlOpAhG3DVXTUXXwOUysDjlQc1nCpiI9RjOrrSY8NjPNfjsl1UBRdaIZhceScHDGys31Ku/pLPD0hMCTEyImXUCWBHQBiqpGSXv5irgOuGSDuxoVXsq4KFhE4vkSJlHEIotgCIgoGMBkusCmZi9tQTvHJ8yU8pPcFUmzK+bBH3SxOuJkV98U6aKGJBpohoGIQEvARkHVyCsarQE7d2/rhJjEnj17UFWVjo4OrrrqqkUr6IIgEAqFiEajF00GWgrRaJSGhvlV7AavjavXtWKV2/n6Yz34jRjvWpVH0+G/hgWK+vIKku1Og99dp/GfwyL7pko0+BJIgogoijhNEk1eG7FMkeOTafJFHZ/dSnNjEDkBhw4dYufOnRf9XBQKBfr6+hgfH6ezs5POzs7zClBBEFi/fj379++ntbX1shJizl23MvBopQQ7lC0sp06dWnAyfyEMwyCVSlUFeiwWQ5ZlQqEQHR0dZLNZZmdn2bhx45LW6+jowOFw0Nvby7Zt2y71obwiLFuwNzc3Lzkmp0aNGjVq/Grzne98h8cee4xrrrkGgH379jEyMsLb3/52PvShD1W3O1fUn4+KYF8qiUQCQRBoampCEAQ6OjrQdb3aLDY6Olqt2le878FgELPZjFUWEQSDiMsyL6pxlRtmU2bWtdYteUASXHiITSEZw+lw0NbwsricW5EPOC24bTInpzOcmEpjN5uqJxJ94wkcFgm3TSSvgG7oqJpAMl/iSkeKgjXArZ1NgMDAVIaw28INXSGePy2hawZFVcVhMbF7usCu4Rz3tmlcGdLYPWFiIGsCwyBVUFHOcaze3aYTLUpEDQdjEynGEznySjmhxm2TcVhlNMNAEgTGEnmsJhmP3ULUCGNTYtweTPFizkLfRBpJLPv0bbKAooHPbmFri4/2oJOB6TSv6orgLsU4cXZey+bNm2lubr7g8x0Oh+fNBLhUVFUlFost8FzPrcK31vl4tEfBLOfpdCq8ug2cDjO7h5R5dp/z0TZHrD87dXZgV7aIy2rCIkk0+BxYzTLHJ9M80z/NmViGem+5or6+roFM7AiDg4N0dHQsun40meP4wEmSk8NEIhFe9apXLSnoo3I16vTp08sSwhejubmZvr6+FW0+jUQiHDp0iHw+j81mO+92+Xye6elpotEoMzMzqKpabV7fsGEDLpereuKTzWbp7+9HVdUl2XcEQWDr1q3L/n/qv4NlC/a//Mu/5KMf/Sjf+ta3ao2mNWrUqPFrTG9vL1u3bgXg1KlTAFVR3NvbW91uOdbIAwcO8IlPfGLJ28fjcXw+37x9iKKI3+/H7/ezdu1aSqUSsViMaDTK8ePHSafTeL1eirKDkaTAVCLHVLpAxGWloOpI+QShcKQa8bhULjTEZnx8vHpSUeHcinwqrzI0k6WkW7i63UlXnYt4VqFvPEWhpCEgEM+V8NstaOiYKeEij7OhPLUylS8RdpvpqnPRVeeiI+jkxcE4feMJ4lmFRLZIMi/w9V6Ja+rgzmaVHSWNH58ROZ4uH5NEubq+waezwWfwfw8bKMIMLpsFqyyiahq6buCyyDg9ZsyySGfIgSyJBBxm/E4Lde4g+8/YyRcn2emJcbRUh8fq4oomibyiM50p4neYafQ7uGW9i6HJGPGRfkZ0jZ07d5JIJOjv76exsfGC0zaDwSAHDhy4bHtCLBbDZrNd0HJyz6YmOrwWxMmj1K/ejEs2sB8/yo56K986XGQ0c/5CZZvT4H+dI9YBzIJISTWwmQU6QnbqPVaSeQXNEBCQyCkq/dMZiqrBNS1r6OvrJRKJzDtOwzCYnJzk4OEjlHSBxs6NXNm19CZSQRDo7Ozk0KFDrF69esW87Gazmbq6OsbHx1dMsJvNZvx+P5OTk/OmqVaazitV9Gw2i9frJRQK0d7ejs/nO+/7yG63YzabSaVS+P3+JR3Htm3bOHDgwIo8ppVk2YL9LW95C7lcjlWrVmG32xdcypqdnV2xg6tRo0aNGr84nnzyyRVdr1AoLPtScyKRuKin1WQyUVdXV42Ey+fzRKNRDg8MEy7GkRWDk0krYy4fJrsHORHj2muuvqy867nVc4+1nCF97qTGcyvybpuM1SxR0sBjMxFwWvj5QJSR2TwIMJ0qksyVaA86WB1xUoyeYUq10XMmxURymmJJw2KS2LkqQFZRmckonI6mGIzlSOTn9hQIvDAF44qdLd4C716jcjAm8J/DIumSgF02eHOHzr8Niswo5ayXTLGA2yphlgSsZgmrWabJZ+W6zhAl3aBvPA2CgN1sYjJVAEHEUddBHVEss1Eyng7a68qCKJVXcNtMdNW5yMWnGT9+mPb2drq6upAkCa/Xy5kzZxgcHGTVqlXnfY6tVitut5uZmRkaGxsv+bWKRqOEQqELnlh2RlwkR/uhoYFtZwVxW1MdR44c4UOb8vzwtIkXJhf2bZxPrIuAJAkYGJgEgYlEnnhWoavOzRu3NXFwKMZoIo+m6UTcZjqa67CUUvOsMalUip6eHlKpFG0dq9EdQRq85688n49wOIwsy4yNjf3CLSxLWXNiYgK32000GmV6eppEIoHdbiccDrN+/XqCweCiNqrFEAQBr9dLIpFYlmD/8pe/fDkP4xXhkirsNWrUqFHjfxYjIyNVa8ql0tPTg8vlWtbV2UQisWyxZrPZUCw++pQMs5oTn0nDRR5bIYWYnUA3DAYHB8lms4RCIWw22wL7yvmobJfMl5hOlXO1lXQOm82GyzW/Yn9uRb6rzk0lMSaZL3FyKo1FFukIO5lK5siXVGRJwGKSiKVzdIhZnkr6yJHhzGyeeKaALMkMzWQpajqZYgmLLKGWVETm56KXDJjJltijWNgzUeSuZp0/2azxszGRervBSEbgxZn5meqJQtn7YZGhqOqcnsnS5LfzqrURHBa5nFhjlhmZzTKbKdEWcnHtqjae33+Q2dgZ2r0RGoLlZlzDMOjr62NoaIirrrpqng9dFEW6u7vZv38/TU1NF6yeV3zslyvYH3vsMd7znvdw/PhxbDYb1157LV/84hdZu7Z89SIWi/HhD3+YJ554Yt59r776av76ob/jPvpxyRK7R1+utJ9PrFeez5mchgxkCjlkMcYVLT7u3dLEnRvrGZnNsuvYNCZZYFtrOVXIs349Tz75JIf7jhNPZsjEypXm8/n8l4ogCKxatYrTp0/T3Ny8YmEhS7WwXAzDMEin00SjUSYnJ4nFYiQSCcLhMK2trWzfvv2y5vx4PB4SicSSt9+2bRs9PT0oirJivv+VYNmC/R3veMcrcRw1atSoUeOXDFVV+dM//VP+3//7f2QyZWuH0+nkAx/4AJ/+9KeXLSKW2nA6d/+ZTAaPx3PxjecQyxT5t0Mj9I6l2djk4vVbmukdT5LOa3j0KYRSgSIm+vpPUXzpJZwOB5LdQ1y3oTfXXVCwV2wuYbeZ1REn9R4rwwNLm/xYTo2x0DuW5NBQgv88PMZ0qojbKjGbU3GYRdbWuxAMgWxskhlR5ERCxW8T0XUD3RBQNRVBNKOXDJSSjqrphDx23BaRtKISzyjkCjolQNN13HaZgiLyn+Maz04qvLFDI2yFfzktYJWhqJaz1OdmqmeLKmGXDUXTmc2UsJpluhs89I4n6W7wcFV7gGa/g3qPldmsgqO+XCXve+lFfDt3YjKZePHFF8nlctxwww2LxnGGw2ECgQDHjx+/YJ53KBTi8OHDGIZxSUKzUCiQSqU4cOAA73vf+7jyyitRVZVPfOIT/MZv/AZ9fX3Y7XZ6enpwu93ccccdPPTQQ9X7V2waNrsTTT+IRzZ4+IxIq5PzivW5qICqQ7pQoruh/D6OZYoMRrMoqo7DbCbgLItCURQJhUIMnezHsLhpWb+d7lX1y37Mi1HxnC9n8ufFOJ+FZSkUCoV5eeiKohAIBKirqyOXy1WTb1YCr9fLxNneiaWwatUqbDbbPEvgLwOXFKB56tQpHnroIU6dOsXXvvY1wuEwjz76KM3NzQsuCdaoUaNGjV9N3v/+9/Pwww/zpS99ad7gpM985jPMzMzwzW9+c1nrLbeRK5lMYrFYll29m0gWyBV1zBJ4rGZ8DnM1O/1MTz9pS5ATSRteRzubVjsJm0uMjE2Smxlj8KVTJId8Va/+uf7YSiOrRSrfZhgGU1NTi8Zfno96j5WTNonR2TxDs1ncNhmnxUSuAKm8TkFRWC2leT4qkStodIbMNPntHBiKl5s77RY8VgNF0xFFgYjLQnezm5NTGdIFDYdNRNE0JFFEEss56uQNTsUFZguQKMJdLQabAjqPnBGZzAtIEqhauTLstslIEph1gbCn3Lz7094JzsRyANy7pWneJNmT01k661dhNZ3h2WefxWw2I8syN9xwwwVP6jZs2MBTTz1FW1vbeU/KAoEAxWKRbDZ7STn8MzMzeDweHnvssXm3P/TQQ4TDYQ4cOEBbWxuKouB2uzEMY9GTr87WRoqGTPHgi/gtOp1u46JifS7xvMIz/dMA9I4n0YGuehdXtfm5qj3A9PQ0vb296LqO3eHE4vbRGlmahWMpyLJMU1MTQ0NDKybYoVxln5qauqhgrzT+VmwulT6TUCjE1q1b8fv9VX99RcyvpGBPp9OX1Hj6Ky3Yn376ae6880527tzJM888w+c//3nC4TBHjhzhb/7mb/jRj370ShxnjRo1atT4b+YHP/gBP/zhD7nzzjurt23atImWlhZ+8zd/c9mC/eDBg3zkIwtHwJ+PpfjXF8Mqi9R7rAiCgUFZwHc3evBYJU7tzxGXzCSL5ZGfJV0gpttZ1bWeq5wWcrlcteo3ODiIrusEg8Fy8ozTS+9YjnRRYzSRJ11QkUtZHKoG5qVnaAecFpq8Npp8Vkq6hkWWCbvNSKLIeCJHJplka6PO4VkTkgSiILE67KKg6JhkAa/NzGAsiyQKCJTF4L6TMVTNwNANcoqKpoPFpCNgUFB04tki7W6dNhf82SEJDLitSecPN2nsmxJ4dFREQUAEzLJMvqQBAg6TzFS6wKnpDJliCZdlvmyY69N3Rzawe/du0uk0N91000WvwDidTtrb2+nt7eXaa69dtIIuyzJ+v59oNHpJgn16eppQaOEU22QyCYDL5aKvr4+NGzciCAJPPfUU4XAYr9fLjTfeWNU4ABvaIvy8L8IGcZwzadgztfSKf0aBv9zdz56BGexmmY6wg5vWhnCIGn2HD5BKxOnq6qK9vZ14PM7evXtxbFo5bzhAa2srzz77LN3d3Ss28Kiuro7jx48vEMNzk5yi0Sizs7PYbDZCoRBdXV3VJKfF8Pv9nDhxYkWOD8q9EMttPN26dSsHDx5csWNYCZb9in30ox/lc5/7HB/60Ifm+fVuvvlmvva1r63owdWoUaNGjV8cVqt1Ub95W1vbsr2dxWKRnp6eZTecXoodpnc8SSKvYDXJ1HmsVVGZSqUQZRMuuwNNVPDaLIwm8hhGWXgFnBbyukRa9tLeVce2bWaSySTRaJSpqSlmjvZhCBIum5smd4T+HMxEpymZbZyYzjCZVi7qga8wmsgjihJXtfvL+egGjCZyzGSKbHQUOJqQCDit2MwyJtEgp5QIuqwI6BiCgM0kIokCxZJGPqshAm67GVF4uVJuGCBLEqquUtIM7m7ReWJcxKAcwfj4uMJzUwava9P5xGaNn4yIPDclMBEvUOe14LWbmUgWMEkpplNFNHT6JlJsbvFVH2PFp6/rOnv37sXlcmG329m3bx87d+686NWRNWvWsHv3biYmJhbkpFeo+NiXa7swDINoNMqWLVsW3P6hD32I6667DrPZjNPppKGhgTvvvJM3velNtLa2Mjg4yCc/+Ule9apXceDAASwWC7Ozs9SrUxxMWmmzFXhtq86/Dy09dSVV0HlxaBaXTUbXVTrNSWZTU3iC9dx6661VL38gECAUCtHf38+mTZuW9ZgvhNfrxel0MjY2Rmvr0pNmLoTL5cJmszE9PV1tFK38qWTpNzU1sWXLliUPhvJ4PKTTaTRNW5FUm0ttPP3qV7962fteSZYt2Ht6evjHf/zHBbeHQiFisdiKHFSNGjVq1PjF8773vY8/+7M/46GHHqqKiWKxyOc//3ne//73L2ut3t5eHA7HeXOmFyOZTJ5XxJ2PiWSBdF6j0Wsn4DTjtr18YpFIJHC7PbS3+bDKIgVVxyqLTKXLTaSVhtK5UYxerxev18vq1auJJnMMjk8jFVOko2M4kklsskDOsJGIRTmtWjlpL9tvKoK2MigHDLrq3NXbuxs8ZIsqmYJKIq9wJpZjMJolp5ToqtN5Mella5uXoWiOwVgOi1nG7zBxciqPphuEXBbCTivJQpFMQUPTQRahwWdHFPOomo5mQKaoAALrPQZ+Czw1IaAbEM8pyCJkNZHv9Qu0u3XubdO5rg4ePiMSVw0kUaBnNMnxiRRWswm31YxJEhdMhTUMgyNHjlAqlbjuuuuQJInDhw+zZ8+ei4p2k8nEunXrOHr0KJFIZFGBFgqFGBgYWLaPPZPJVL3Rc3n/+9/PkSNH+NnPfkZ/fz833HADgiDwlre8pbpNd3c327dvp7W1lf/6r//ipptuYu/evaxas5ag7GN3zxmuCo8xmdfZN730iai5osZmv8q19hxTMybq2zawqWth4+26det4+umnWbVq1ZKE7lKbphsbG5mcnFwRwV4sFpmZmUEURQ4ePIhhGPj9fkKhEKtXr8br9V5S34HdbkeWZVKp1IrZdyqCfals27at+p6+nIbflWTZgr1i3j/3TPfQoUMr5jeqUaNGjRq/GF7/+tfP+3nXrl00NTVVGwMPHz6Moijccssty1q34gddTsNpxee6HOo9Vmj1YpVFeseT9IwmODOToS3oRJ2eAbN9gagpqDoDU5nqNNTknBSXiqivTEO9al0bUBZIPafHSQwewWy2oM4M4VIVFMlOnzpLd2czmmzj2ZMznJhMYTeXp5RW9tsZcVFQdQ4NJXBYZEJOC5PJPB4ZZAFSgpmASQIBErkS47N5MAyOjiWxWUyEXRZ0w8BlMWExycymi+h6Oatd10ESBQqKzvhsAQS4d53O7nER5ez0TlUtN5qaBAPDgL6EyInDAq9qMPidtTozJZUR3cKR6QKJvEZbQObOjQ00++0LBkcNDg4yOTnJjTfeWLVFXHHFFUsW7S0tLQwODnLq1CnWrFmz4PcV4RePx5dcIYVyOkwgEJh3EvCBD3yARx55hGeeeYbp6Wmam5vPexWnvr6e1tZWDh8+jMViYf369VXtc2Ymw2MHE7yhLct0XuB0+uLv6w6XwevbNBwy/NugyKmcwJXZGKLFxlXtgXnvSbfbTX19PadPn17SlM7zTeE9l/NZWJaCpmlVH3o0GiWZTOJ2u3G73eTzeW6//fYVEbdzK+IrJdg9Hg+Tk5NL3r6zsxOz2czRo0fZvHnzihzD5bJswX7ffffxkY98hH/5l39BEAR0XWfPnj088MADvP3tb38ljrFGjRo1avw3ca54ecMb3jDv54tNpzwfl9pwarUunCp6ISoWjT0nZzgxkaZQUjk6rnBoJMk11lkSphDyZJqdnS+Lmrk+7IDTgsdmZmAqQzRdwDCEshd+jm0GygIpnkhicbjpXHcFiZzCwVMTKJkEzMSITw5jABnDRkC2Y7f4sUgvi7pYpsjIbBZRNLi6PUBB1RlPFBFTY0wUzSTzGulCiYDTxGRGIKtoHByOM5tTEHIKz+s6ebWcEiNikCyoTGWK6BqIItjNEoauo+rQ6DSI2GHfsfL+ZcBrlymWVPKlcpIJgGYInMhakVIOfqNRoyk/xbpOLwcTLtpCTtw2ecHJTiwWo6+vj2uvvXaeKBcEYcmiXRAENm7cyN69e2lubl6wnSAIBINBotHosgV7xb9uGAYf+MAHePjhh3nqqadwOBzMzMxw6623nvf+sViMkZER0un0PLEOcHV7gGxR5cVTg/zO2hxfOiyRKi0u2n1mg7tby4OqHh8V2T8rIggisiCcHZo1xGxW4Y7u+nnPbUdHB3v37qWrq+uiQvhCU3jn4nQ6sdlsRKNR6usvnEBjGEbVEjY9Pc3s7Cxms5lwOExnZyfBYBCr1Yqu6/z0pz+tDjRaCZYbxXgxKo2nS7XZiKJYbTz9lRXsn//853nnO99JY2MjhmGwfv16NE3jvvvu40/+5E9eiWOsUaNGjRr/TcyNtFtJDhw4wB//8R8vefuKf/3SM6MN8iWN8USBZKFEncNANhdRJCsvBxguTkX0TCXzPDswg6JrtPodbGx0V60HVlnEIyl4ggG6Gz3EMkUODcc5lrLSlwa/w4tXKmHVsoRNKeyxaY6nBomFQmB1M6tZeO50EpdN5opmnYKiksgX6bYUOZiwEHKZAYHJZBERAVXTUDUDEdAMyCkaZlmgpBpkFJXi2Yq5RQKrWcQqS+QUDVGEG+t0np8WKGjl59JlFXnd1kZ+cmSCdEmZ99iLqoYmyqjeBlrb2rCPnCIgRLH5bEwni3hsL9thVFXl4MGDrFu3blEhvRzRXon0O3bs2KLJHOFwmNHR0Wpu+sXQdZ2ZmZnq9u973/v4x3/8R3784x/jcDh45plnaGxsRNfL6fWZTIbPfOYzvOENb6C+vp4zZ87w4Q9/GKfTybve9a4FroLOiIvOiIv9LT52PbuXt3To/PUJkfKrUMYkGtzSoPOqBoPDMYHPHyqLerMAq8M26rw2xuJ5ouki+07HaAs62Nn5coOs3+/H5XIxPDx8wQFTcOEpvHMRBIG6ujqmpqYWFey5XI7p6Wmi0SgzMzPVpuv6+no2bdqE0+lc8JkURbFaEV8pwe71ehkYGFiRtaA8m8FkMpFMJpc98fTd7373ih3H5bBswW4ymfiHf/gHPvvZz3Lo0CF0XWfLli2sXr36lTi+GjVq1KjxK45hGBw9enRZDXTJZPKSvvwrgjrishJwmjk1ncEsinT4RCRD5vp1jQumRZ5rJ6j8OTmd5sRUhoxSQqBsi6lsuzriRCzlqAs1Vu93Z3c9PruZ6Uye09M5TiR1zCY7/YIDswh3rnFR0HIkRgahlGejbCFdsvHU4SxTRZnh6TjXNmkcmNbY0GhQLGkMxjIYOtjMEgYCFrNIIqeTzClc3RGgzmNl36kZJlJFLLJA0GVDEgTG4lkUHeyywaaAwV8cebmqmFN0nu6PklFKC56/RF6lfyKFpukIwM7ORtaHDGZHT2OTp3BE1gPlqzB9fX3YbLYL9iUsR7SvX7+eJ554gra2tgWiKhQKceTIkSVbOeLxOKIoVq8YPfjggwDcdNNN87Z76KGHeOc734kkSfT09PC9732PRCJBJBJh7dq1/PjHP76gJWV7e4BEZjOxk4e4oQGeGQcw2BIweG2rTlKB/69PYijzsshVDMiUDMyyiI6BrpUbhOeK/QptbW2cPHmSjo6OFRt4VFdXx/79+zEMg1KpxMzMTNXmksvl8Pl8hMNhVq1ahdfrnRdrej68Xm81eWcl8Hq9pFKpFW08rVTtlyrYr7jiCv7mb/7msve9Ulxyrs+qVasuesZXo0aNGjV+tbjjjjv41Kc+xbXXXnvB7dLpNN/4xjdwOp28733vu+C28XicQqGwrCmpiUTiopfsF2OuoN7RESCnqJglkYiUxSK62NjkXXCf89kJuhs8TK0pEM0WCDutWGURn6PcxBpxmTmdSlVPKmKZIlPpIu2h8kChwWgWURKo99hI5kpIokDCsBGJhBk1AphRCZpKxIdG8SpJ6iWD1XUiOU2k02siWygxniigG2AziwSdFmRJZGCyiA4UNZhMFWgPOrCYJAQDrCYTdS4LQ/EM+tmLCFcGDUazYMgmnGaVYqksC0dmCxiGgQRocx6zosF0qoCiaVhMMj6HGZ8jzKruK7Hkohx9aT+zU/XU1dUxPDzMzTfffFEhuVTRbrfb6ezspLe3l+uvv37eug6HozyRNhYjEolccH/wsh2msoZRVsQoisKuXbvYtm3bvHVsNhs/+9nPAJidnWXv3r0LbDDn49aNTUwEJczSfmJZg1ubdAJWeGRI5MCMgLGIENd1jVReJZlXsZpEwi4LEdfCCnlDQwM9PT3L9u+fD03T0HWdUqnEE088QSaTweVyEQqF6O7uJhAIXJIP3ePxcOrUqcs+vgqvVOPpck4qGhsbGR8fX5F9rwTLEuzZbJYvfvGL/Nu//RtnzpxBEATa29t54xvfyAMPPHBZo2Nr1KhRo8Yvnje96U28+c1vxuVycc8997B9+3YaGhqwWq3E43H6+vp49tln+clPfsJrXvMavvzlL190zYmJCRwOx7wo4AthGEZVSCyXueJ7IllgTcRD2G0mPRYH2V5tJJ3rxT6fnaBie+gdSzIwlaGg6tXtBsenkSSZvC4xOJYkmVc4eCZxtkhqEE0VySk6DW4rZllGFHVGZ/MAxLMlTs2kKZZ0ptNWTkZVNkesvLapiCgI3NOQRdWzTClmpn0mpooWwkEXINA/WRYcEhDPKvxHzwT5oophQF4pMZrIYegCNlN5dumVIZ09kyKKquN3WBEFSBUUckUdu1lC1TRSc1wxBuVqryBCvdtKa8BO2G2m0ecg0OynpaWFo0ePsn//fkKh0JJ7DJYq2js7OxkeHmZ0dHRBv0QgEGB4eJhMJkMikSCdTpNKpQB45plnMJlMeDwePB4PExMTi0aSHj9+HJ/Pd17Rv1yxXsHn82Exm/nddQUeHxN48NjLDb6LkStqOCwSdrOEyyphMUtMpQsMTKeZzSpc3R6gM+KqDjwaHh6+JMFuGAapVKpaQY/FYsiyjMViweFwLOg9uFQqFXFd15dUkb8YcyviKyXYXS7XstIM6+vrmZiYuOQpuyvNkgW7oijceOON9Pb2cuedd3L33XdjGAbHjh3j85//PD/96U+rH5gaNWrUqPGrybvf/W7e9ra38aMf/Yh/+qd/4q//+q+rzV+CILB+/Xpuv/12Dhw4sGQ/8fj4+LLiGRVFwTCMZTecwuLiu95j5ZkTKQ6n7fTmRgk5bZy0yvPiFy/EuRX4iWSBkckYDpuDyVSRgakMYbeFrW0+oDwFdSiWZSpZJOy2YDdLnInlyKs6foeZtqCTl0ZmOT2Tx2ERCDlsiCYLopYmF1jD3jNZPFKBFodOq5himztDsjTLjGphtVunp2QgSgJZpURBAUko564XVINETkHTDQwdAlaBBjscjgvkVJ10voDNDLoBLotMvdfKZKpASlHnPV5ZAr/NQqPPDoY4L93GZrMRiUSYmZlBURR2797Nhg0baGhoWJFKuyzLrF+/nqNHj1JfX48kSUxPTzM0NFRN+dA0Da/XS319PZqmVX30uq6TTCYZHR0llUrR19dHKpWitbW1KiiHhoYW2GIqXIpY1zSN06dP09/fj8nuolAocGDmwmIdIJZXOTKaxOswE7Bb8FplUnmV3cejjMfLJ3Y+h5njk2kUw0Fh4iRXXLE04ZjP5+floauqSjAYJBwOs2HDBlwuF6OjowwODq6IWIfyFRBRFEnNuep0uay0zcZqtVIoFJa8fUNDA7lcjlQqtex5EK8ESxbsDz74IKOjoxw+fHjBf9LHjx/npptu4pvf/CYf+MAHVvwga9SoUaPGfx9ms5n77ruP++67Dyj7yfP5/CVfLp+YmFiWvaVYLCLL8mVPY6yIzLF4FkEtcGLWQpddpSMok85rC/LE52ZZx7MKveNJuhs8dEZcBJyW8lCmsWS14dTt9lVF/Nzox4CzPHSocv/e8ST9UzkavCauai9ngm9u8VJSDRp8VuxmGbuooGsCBcNEc9BGSbXwfDTHiSkruXyBdX6RjUG4vVHjNzsMxrJwOi3QFxcZSoMkCKgaKCUDRS9Xyq90agymBXLq2ShHyhM3ZQGc1rJwzxY1yrX4lzHLMptbvOzsDOG2medZhTRN4/jx46xfv57m5mZGRkbo6elhcHCQ7u7ui4q1pYj2xsZGTp8+zYEDB8hkMpRKJVpbW1m9ejXPPPMMmzdvrp7MlUplH34oFMJkMtHU1MTk5CT5fJ5t27YxMjLCs88+i9frRdM02traFr1ys1yxbhgGU1NT9Pb2IkkSV111FaLNzXMvHuQd6xL8xUEd/SJrTKYVsgWF2XQBj8NMd5OXNWEHGAYmSeDnA1FOTKSxmyXaNPW81eZSqUQsFqs2i2YyGXw+H6FQiO3bt+P3+xdUvStieCUr4pU1f1kbTyuCfakVc4/Hg9VqZWJi4ldLsP/bv/0bn/zkJxetqHR1dfGJT3yCH/3oRzXBXqNGjRq/ZlRsBpfKcgV7oVBYMEhmKcxNcKmI54lkgVPjswgIrKr3cV1niM0tvup2vWPJqsg+Ppni4FCCra1ezsxkefZkjGxRpTNSFnjnNpzWhxqrFf2KbabCVLpAyGXF5zDT3VB+7ip/P9o7wYnJDEVdp2csid9u4ZqITtYwU9J0bLKJkdkURVWnxWcnYZUYL2rEoxIF1UQul2ONB1a7Dd7WqWGRYDAjcCwu0J8UGMsBCKzzG/TEBWwyaDpVIV8yyjnsmaKKWRYQMBBEAVEQEdCxWWT8TjN3blx4VWR4eBhJkmhubkYQBFpaWqivr2dgYIBnn32WpqYm1q1bd8HX72KivVgsIooik5OTrFu3jlWrVlUbDz0eD9Fo9ILxotPT04TDYfx+P36/n3Xr1nHkyBHGxsbw+XwLGhmXK9ZTqRS9vb0kk0nWrVtHa2trVQA2t6+ilNxHh0fkZPLiojBTgnxJ5chIgmtXBXhVV4RrO0Mk8wqno1kafTbaQw6YCTE5OYnP50PXdeLxeLWCHo/HsdvthEIh1q1bVz15uRCVtJd0Or1iYrRiYVnJKaqZTObiGy6RSgSlqqpLKjwIglC1xXR1da3YcVwqSxbsfX19572MBHDzzTfz2c9+diWOqUaNGjVq/BpxKYL9Ui7VVwT13Nx0qywi6CUE2cy2+iARj21RkR1wWkjlS0ylCqTyJfwOCwG7GZMkVKvqyXwJq0lgOJahlEphmF7u27LKIoJgYJXLk0CfPTlDOq+Syis0+x1V+03vWJLReJ5opsjwTHmyaVZRudpnkDdZEQQBh1VAKenYzBIlVWMiUUAUIZkvoWg6qipwSBUYyJjQ0XGLKm1OnTUegzubdYoanE7DGg/8bLT8PPjsMjMZtdpgmldUXDaZOredJr+N2WyRdEHDZZVQdYgmi+w5OUNXnat6FcIwDE6fPs3q1avnVShNJhPr16+ntbWVo0ePsmvXLtauXUtHR8d5q7fnE+1jY2McPnyYcDhMY2MjiURinrgOh8MXFezRaJR169ZVf5YkiUQiwdq1a5menuapp55i69at+Hy+ZYl1RVE4fvw4Q0NDtLW1sX37dsxm87xtnDYbBYuP25pSnFyCm8MARKCo6vzs6CTxbInuJg8RlxXP2asbfoeZk0aC06dPk0qlqtNFQ6EQLS0tbNu2bdk9hHOHE62UYPd6vSvaeGq1WtE0bcWmjcqyjCRJ5PP5Ja9XEey/DCxZsCcSiQXjfecSCARW1GtUo0aNGjV+PRgfH2f79u1L3v5SK+yL2VMmkgUMtYTJbKY14pxn7zjXm+62mYm4rLhtZrrqXDT77STzpXknATmlxND4DF2SQFwRqOTeFFQdwxCYShdI5VXiWYVsXmU4lmMmo1Q98wVFJZFTiKbyzGYURBFMoohHLDCl2ZiczmISYCyRRwcS2SLpoobdBAGXnYlEDt0oTzL12mVmMwqjeZGhFDxhgCAYdLrg+nod3TC4f4NONK8zkjfoiRkciwsUdYGcBvmShkWWibgtBJ0W0gWVra1eskWNWLbEwTNxPDZTVbBHo1EURTnvVHOHw8FVV11FNBqlp6eHM2fO0N3dTSQSWdSCcK5ob2hoYHBwkC1bttDQ0EChUGD37t3MzMwQDAaBsvXl4MGD57U15PN5MplMdWASwOnTp5EkibVr17JmzRpOnjzJnj176Orq4sSJExcV67quMzQ0xLFjx/D5fNx0003nbYguqDo2fwNrlFnq7BKTuYtX2UtAMlekb8wgX9RQNIPrV3kJSAWG+k+xPxqlWCxiGAYul4u1a9de5oyCMh6P5xWJYlwpm43JZEIURYrF4opNULVarRSLxSXfp76+/pcmKWbJgl3X9QtmYYqiiKZp5/19jRo1atT4n8nExMSymk4LhcKKNZwCTJh0CkWZZL40T7Cfu31XnQuPzVS1yFR86x6bCassMpUucHQsj11S0SQLqUKJWKb85Z/Mlwi7y8OOTk5lUHUDj8OMz2FiKlUkmi43uw1GMzx7cobpVIGSAXZRQNc17ILC88N5RCs0uG3ohoEoCITdFtKFEnarjN8uIwg24pkCIBDNKuSL5YZRp0Uio2iUdIHjKdgYgH1TAv81IrLaY9DtN3hdG7x9tcaZNJxMikwUVZKqRO9YiragA6/dxKZGL+0hJ8cnU4Aw7/kaGhqipaXlornYoVCIm266iaGhIQ4dOoTX66W7u3tRkVsR7c888wwDAwNcc8011QQXq9XKmjVr6Onp4aabbkIQBPx+P4qinDdFKBqN4vP5qgKvUCjQ39/PVVddhSAICILAmjVrqrMB2traLijWKycfuq4viIJcjPLzFeTwpJWtwRI/Gb7g5kC5yq5qBmFTgXU2jaZCmqHDBWZcbuojYbZu3Yrf72fPnj1gsjKaFdBkZUkN0xfC6/UyODh4WWvMxeFwYBgG+Xweh8Nx2esJgoDFYqFQKOB0OlfgCKmut1QaGhp+9SrshmFwyy23nLcJSFXVRW+vUaNGjRr/s7mUptOVinILOC2Y0JhSBM6cUzFebNvzNaEGnJZy9dRkIuw1YdFsTKcUIMWZmSwD01lWhx1n4/icmGVoCThx22Rms2Wrjd1crr4LAlhkEZ9NYlXYiVHKoRowmFTZ7JFpCdixmCVssojfacZtNTEcyxPLKNjMEg6rmUSuSCYLJhlcZhmzLIEgkC+qlHRodBg8OymS1wSOzAr0J6HeYyOfy7HKbbDOZ3BDg4pIicmiiTQq02kLJyZTbG8PzJu4CeXv+MnJyQtaY+ciiiLt7e00NjZy4sQJnnrqKdra2li7du0CG8nQ0BDZbJb6+np6enpwu91VS1RHRwdDQ0NVG4okSQQCAaanp88r2OdW148dO0YoFJp32+zsLCdPnqSlpYWRkRGampoWOAiy2Sy9vb3VaakXsvfMpfIeeuGIj43eCX4yvLhmEjBodsJaj8Faj0G7yyClQMIQKNojxFQLm1tCbOgMVu/j9XqZnpklbnk5jvRyeCWiGC0WC8VicUUEOyw/2WWl16u8J38ZWLJg//SnP33Rbd7whjdc1sHUqFGjRo1fLhKJBD/60Y84deoUf/zHf4zf7+fgwYNEIpHzWiPmYhjGJXnYl1JhP1dQnw8zGhGfk/ZQOdVlsebURSvz50xArfdYodVLIZpEV53YI06S+RKj8TxTyTwFRWUskUOWBEqagC+vMDKbZTpVwGqSKGk6160OUuexkFPUcmwi0H/qDDOKRHeTlyuaffRPpgg6raxrcPPC6VlEUaTeayVdKDGbVUgXS+gGyJKA12Yi4raWq+uajsluQlFVGu0wkn3ZMiGLMJ7MU9QEpgsCKcnBY9Ml/Cad7RGZVW6V9dY0YizJoUMJQqEQwWCw+jpMT09js9mWnY1vNpvZuHEjra2t9Pb2snv3brq6umhtbUUURdLpNL29vVxzzTUEAoEFnnZJkuju7ubQoUM0NDRgNpsJhUJEo9EFwxsNwyAajVbtV/F4nLGxMW6++ebqNud61t1uNwcPHuTmm29GlmVKpRL9/f0MDg7S1NTErbfeekn2LIvHj684gcdskFTKOTxB68sCfbWnnMszkBQ4FBP4wSmR2SLsaHex3W9hPFGgo06Zt6bX6yU2O8jqFueCIV+XQqVqnclkcLvdl70evDICezkWlpVer76+nscee2zF9n85rKhgr1GjRo0avz4cOXKEW2+9FY/Hw5kzZ3jPe96D3+/n4YcfZmhoiO9973sXXSOVSpHL5VY0JaYiuJN55WyV+8LVRl1VWNtSR0tLkFimyM8HoqQLKi6rXG1OXez+cxtJ54r8qUwOu60stiMuC5uaPPjsJiYSBY5PZAEDu1mmZyRBplAi5LYScVuwm2TSRZU3bm8BKMf2TabxmHTMkp33bO/kzEyGWK6EgYAwkWIqXUBRdUIuC1e1+/n5QJRcVMNmFnFYZYJOMw6LjNUkYhgGiayC26RjALE81Ummqg4Os4he0HHaJDJK2XOvyjbCTQ1c2RVhMpmjlEuhkefkyZMcOHAAt9tNKBQilUotacLo+XC73ezYsaMahXjmzBk2bNjA8ePHaW9vr3rUF2tEjUQieDweTpw4wcaNGwmHw5w4cQJdnx+cmE6nUVUVv9+PYRj09vayatWqarV3sQbTjo4OJiYmOHr0KD6fj76+PpxOJ9ddd91lxRNevSrCz8f7uatJRacs1D1mGEwLnEgK7BoXGckwbwqqCCRyRVJ5Hass47bNvxLh9XrJZtLc1OBekUE+giDgdDrJZrO/tIJ9uRaWi2G1Wpfl2/+V9LDXqFGjRo3/WXzoQx/ine98J1/60pfmVVbvvPPOakb7xZiYmMBqtS5Z/BiGccEK+1zBHXSaq4L6QsxdbyJZIJ3XcNlkuhs81Qr7udX6WKZI73iSdEGloOrVantOKSEnMlAyYRbKEY/NfgeFkkGz305nRMEkCQzOZIlmCphMIk1eKxGPjWRe4aXhBFPJAtlSicFojojHgs8CqmAilVdYezZCcjpV4PR0Fo/dTMhhxgDsZpltrX7MkoQgQCqvcGYmg8dmYU2dk2hGIVNU6fQbTOShwWcjkSuQKkJBA5Mh0OSzUlB1skUNp0Ui4rIwkciTyCl4HVYGMiqhSJjtmzdRLBaZmZmp5nvPzMyQSqWqFhOv17ss4SgIAnV1dYTDYU6fPs3zzz+PIAhs3rx53jaLifbu7m6efvpp2tracLvdSJJEPB6fJzSnp6cJBAKIosjo6CjZbJYdO3YA549urExs379/P+Pj42zatGlJQ6AWQ9M0YrFYNW7RbyqxNQR7JgX+eVDkdEq46ECl2ZxKLJNnS6sfMIhlitWTyUpFPJ1Or5jAfiUE8Uqvt5LRjv8jPOw1atSoUeN/Fi+++CLf+ta3Ftze2NhYnTp5MSp2mKUKIFVV0XX9vIL9+GSKl0aS2M0CQacZwxAoqBceUVMsFqvrVWwt59pgzo14nCvs59oPRmazZKZV7HZ7NXUmnlUQBIOQ00qz34FVFnFZTXhtZloCdlaHXWcbVpNEMxkGpjLE80WSeQ0MaLQpTKkS+3smcZlFwm4rM9kiiXyJra1e7r6ikUeOjLKrb4pGv42dq4P0jac4OhZH0UGSShwbTzGZLKBq0OQwGEkLjCcKqHMmIpVKGpmigCxLmEQQBRiIphiJF/A7LdzZXU9OKTEym60+P42NjbjdbsbGxrjhhhuqgnRgYABBEKoTNEOh0JJ9y6Io0tLSwvHjxwkGgzzzzDN0dHSwZs0aZFleVLS73e6qrWbHjh1VW8xc4RqNRgmHw6iqytGjR9mwYQOyLJ9XrOfzefr6+piYmCAcDlMoFJYl1g3DIJlMVgV6LBarWnZWrVrFREZl5EQPPx4S51XSz4cOlDSNeF4lW1SZTil4bC8P9xJFEbfbTTKZ/KWuiOdyuRVbz2q1MjMzs6LrLdfDnk6nyWazK+bLv1Rqgr1GjRo1aiyK1WollUotuP3EiRPzmvguxKX41yVJOm/AQSpfYmQ2h90ssrHRy+rIhf28qqqiqmpVsJ8vSebciMfFhH3Fx/7ckEZ3S5DW+nJ+9USygGEIjCby1ejH2WxZbFeaNysNq1uavZgkkYHpNFPJPKIoIKMSzamcjKfJFBQEUcRmEjFLEoMzGQam0wzHcgzN5sgUFTY1eTBJAlazCaGkoqo6k7kSBa1sqwhYoS8hzBPrwNmJpgKapiHLIopmUFAMPFaB9fVuptIFjk2kkEWRoqpXs+MTiQR2h5PhtEF9qIH29nZ0XSeRSBCNRhkdHeXIkSPYbLZq9T0UCi1oLp3LmTNn8Hq9XHPNNSQSCXp6eti1a1d1gupior2rq4tdu3YxNTVFKBRieHi46mOvVLc3bNjAyZMnsdlsNDU1LSrWNU3j5MmTDAwMUF9fzy233ILJZOLxxx9nZmbmgu/tXC5XFejRaBRd1wkGg9TV1bFx48bqQCIAayrPWH8PTQ4YyZ53yXmvT53bhlUWaPbZ6DznvR3LFCmJZmbiKS4QQ78sLuTpXmqPyLnrxePxlTk4fvFNp5XpzhMTE3R2dq7YcVwKNcFeo0aNGjUW5bWvfS2f/exn+ed//megbB8YHh7mox/96JJDBmKx2AVneJxLxb5ybpUzlilyfDJVFusmAYss4baZ6W688NCXQqGAKIoXzXE+V8ifT9h7bTK6phLxvWwROjf/fWQ2x2ymBHOqqlZZxGWTqjacwZkMZlnC5zBjLmqciZfIKwZOq4mSZiAiYJUFTkVz/OPzw+iajqKqTKc1ftoziW7otPgdKKrGZKpISdUwzu7RZ4Hk/H5FAEo66LpGWtHRDXCYBUyShMsqM5EskFNUZFHEZhZJ5zUmkuXqbjKZRLA45l2BEEWxOkl07dq1qKparb6fOHGC/fv34/F4qtV3v99fjYM0DIOhoSE2bNhQfk69Xq677jrGx8c5evQog4ODbNy4Eb/fv0C0r1u3jp6eHq655hoOHz5MqVQCys3RlcE4J0+e5NprryUej88T64ZhVPdhsVi49tpr8fv91eentbWVM2fOzBPspVJpnkDP5XL4fD5CoRDt7e34fL7zJqyE3DYEs40WV2FeA/D5EMpPDqoOz56cYSSeI1/SeNXaCNvbA+WrPoqAmshUh3kVVP1s5GgRMIi4rAtu66pzV21e5wrwC3m6z226Xgq/aIG9lPWWM4xJEAQCgQCxWOxXT7APDg4uaXRvjRo1atT41eYv/uIvuOuuuwiHw+TzeW688UYmJyfZsWMHn//855e0hqqqF6y0nsu5Y+MrTCQLHBxKEMsUaPLb2dTkpavu4oklxWIRi8WyIk16UD4BqMTXVThX3Nd7rDT77fOqo5XBShXPvNdmJppS0FQdq2QwWwSP3cSGBjcTyQKJfAmP3UxqNsfJqRTpgkpJM7CZRUbiWfKKjtUksirkYpVFoqhpJPMasgQuEyhnm2lFyjnfBqAakMrrVEKY0wWDkEvEIov8rGcSm1ViW4sXn8NCSdOrvQGJRIJIuJ6Q4/xXM2RZJhKJVBtTC4VCVeQePHgQRVEIBALVyruqqtTV1VXvLwgCjY2NRCIRTp06xXPPPUd9fT3r16+fJ9p37NjB4OAgk5OT2O12ZmdnAaqV8WPHjlUz/+eK9UQiQW9vL5lMZl4Vfy7Nzc089dRTTE5OEo/HiUajJBIJHA4HoVCI7u7uasV1qcQUmYjFuPiGlC0xZ2az6BjMZAocHIqj6Aa5osb29gD1HisJr5N0YpaBqQzZYol4toRZFhiZzSNLAgGnGZMoUdI1ckUNu0UGBDy2Asl8ielUuZpeeb/O9XSfK+jPveq0FF4Ji42qquf9f2G5VK7caZq25NfRZDL9UkSXLzt4s7Ozk5tvvpnvf//7K/qi1KhRo0aN/z6eeeYZ7r777qpn99///d/n/T6TyfDxj3+cM2fOkM1m8fv9bNu2jZ/85Cc8/fTTS/Zzqqp6XnvLYui6vqi4rvdY2drqpcFrI18ymM0uUkJegf1fjGKxiNlsXvQYY5kivWPJ6vFOJAvVwUr1Hitht5mR2Sy7j00xmcwjywK6XsIwwO2w0RF2kClqFFQDv8NCyG3BLEskciUyJYOiDiVdp6CoaLqGourMZoq4rCY2NXho8FiwmATsskEiDyGHCYtU/qIXKP99ruzw2mUCDjOjyTypfAmHxcRUsshstlTtDcjlckQCXrobPcuqtDY3N7N161Z+4zd+g5tuuolIJEIsFuPw4cOoqsrBgwcZGhqa53mWZZm1a9dyyy23YBgGu3fvZmBggO7uboLBIHv37mXNmjWcOHGCQCBQ9TfPzMxgs9mYnJykvr6+KtYbGhp46aWXePbZZ/H7/dxyyy20tLRUXz/DMEilUpw6dYqjR4+i6zoHDhwgl8vR1tbGbbfdxi233MKmTZuoq6tb9sRNQTbjX0YCY74EybyGz24h6DRjEgVkqXys8azCTE7DUBVWR5wEnOZKWR6X3YTdImKSREq6hkkSafLb6Aw76B2N8189E6TyygIL2VyBXamoTyTLPweclmW95lAW2IqiLEjwuVTmCuyVYO7rvpxjWAnBPjY2xm//9m8TCASw2+1s3ryZAwcOLP04lrvDw4cP87d/+7f80R/9Ee9///t5y1vewrvf/W6uuuqq5S5Vo0aNGjV+QWSzWa644gre9a53LWpv+eAHP8gjjzzC3//937NmzRoee+wx3vve9/LOd74TRVH44Q9/yNvf/vaL7me5gtkwjHkWg7IVJk3l0j4IDMcmGI3nq5aNi623UtV1uPDjmWshAOb9eyJZHpq052SMiXieom7gskhoFCk4BNxWM4IhMBLP4rWbuWVdmDq3lYHJNALlL2uXVUI3dLIlA5MAslkkkVcYPZXDbpJoDTgYmi4gCjBTBKtcQtHKsY7AvLZHCbDI4HdaSRVUZAnaAw6u6QhUrRT1Hms1tedSssgrCIKAy+XC5XKxatUq9u3bh91ux2w2Mzw8zOHDh7Hb7YRCIcLhMMFgEJvNxvbt24nFYvT09DA0NMT69esxDIPjx4/j9/vJ5/NVsZ9MJtF1naamJg4ePEhXVxeaprFr1y6CwSA333xz9SQzn8/Ps7moqlqt/huGUbX5rASd9X6UdByZhSdL52KRQBYFzDJcvzqI12biyFiSba1l207veJJj0wXWmYt0N3rOXslxzLPGFNTyCd2JqTR+hxm3zUwinySdVxe1kFU87IZhXFJF/VzmCuyVGsYErNgJwC9KsMfjcXbu3MnNN9/MT3/6U8LhMKdOnVpWdOiyBXt3dzdf+cpX+NKXvsR//Md/8N3vfpfrrruO1atX8+53v5u3ve1tS25GqlGjRo0avxjuvPNO7rzzzvP+fu/evUSjUTZv3kw4HOb3fu/3+Na3vsX+/fu57rrreNe73rVkwb6cquS5AnsiWeDgmTg5VSWaLtLktdFV7yLgNC9JWKy0YD/3hGIucwVPJTnGKotMJAscGo4zkcyhajphtwUDg0LJwFA0NEOgyW8lllFQVJ16txW/w8yR0TixrIIhCHjsIrdtqGckluWlkTi6BnmlhFICxYCsopJTkgRMkFVBNQSU0stiHcqWiwoa4LSYMHSDTFGjxefghrUhOiMuOiMvW40qYm4pg6yWSjKZpLOzk2AwSFdXF6VSiZmZGaLRKH19fWSzWbxeb7V59frrr2d0dJSenh6cTidut5tEIkGhUKgKr0pld2xsjKamJgYHBxFFkSuvvBKfz0csFuP06dNEo1HS6TRer5dwOMz27dvx+Xzz7BaxWGzFHmtaFXGaDFw2iXj+wqLTJILfacZikpElkVvW19HotwMCsUyR7gYPlAoIE5P0jCZo8NoW7eHoHUsymy0xmymxtc3EdauDgLCohazyuHVdP2/fxnK4FEF8ISqftZVar7LmctZbCUvMF7/4RZqbm3nooYeqt7W1tS1rjUu+TijLMq973eu46667+MY3vsHHPvYxHnjgAT72sY/xlre8hS9+8YvLSgaoUWMpvPu7L17S/b7zzitX+Ehq1Pj15rrrruPo0aNMTk4SCoV46qmn6O/v52tf+xqjo6N4PBdu9qxwuRX2eo+VrW0+zsxkSOc1RsnjsJho9jsuKC4qflxTQVlype/cav5i61/oBGCu4Kkkx1Q86yetMtmCBZtJxmuzMJPJ82jvJF4hxyYHbGn10T+dYTpdZCpT4B/3DTOayBHNlO0JNrNMo9fKmoiTVEFlKlUgnStPPK1Q0kC0gHJWpRvlWJgq51Z5JQlOR7Nous4dG+u4qn1hc3CxWESW5RWzFRWLRQqFwrz3j8lkor6+vqoZ8vk809PTzMzMsH//flRVJRgM0tHRQTabZXR0FLvdjiRJGIaBpmkoioIgCDgcDkZHR2ltbUWWZU6cOEE8Hq9W8Lu6uggGg+ftq/B4PJw+fXpFHivAZEbFK+oo2sUrxNkS2BUNEDk0NMvaOhcgVH3nHpuJq1eFeGHC4ORUutwQeZ7Eo62tXlL58qs9t+n03GbVbKG8tq7rK+IRr3w2YpkCsXx+WQkzF1pvJQW7IAjLqtivRIX9kUce4fbbb+dNb3oTTz/9NI2Njbz3ve/lPe95z9KP41J3vn//fv72b/+WH/7whzgcDh544AHe/e53Mz4+zqc+9Sle+9rX8sILL1zq8jVq1KhR4xfEli1bgJeH2FT+3dLSwvve9z4GBwe54447lrRWqVS6LA97wGlhZ6eFrjpXddJoRQRfiIo9pc5UXHKFfSJZ4Nn+KOmiCgjs7FyeYJ/L3Gp7wGnh+tUhJpIFCorKaCLP8KzGVCqPbNMo6QZWIJYqMhrPcXo6hSzJaIaGpoNZEjHLMi8OziKKIoqqY5YEXDaZTFFF0EAzytNMRaH8bxFwWiXi+Zdr7AZgAir5NZlCiaxSvv2l4cQ873KFlWr2q6AoCpIkXfCqi81mo7W1ldbW1qrHfG7WuSzLlEqleSLKMIyqeAcYGRkhGAzS0tLCtm3bsNvtSzo+i8VSTZ5ZCep9dkppKCmVDJ/zY1DeJOQyEU0rPH50its2RFgdcZLMKwxMZdD85RONVWHHeT8D5c9MaM5sgfS8plNBMDAMofy3ppcbkw3jkmIcz6VycjyVLDAYL1WP53IQBGHFBftyLTGX+544ffo0Dz74IB/60If4+Mc/zgsvvMD999+PxWJZ0pVKuATB/pWvfIWHHnqIEydOcNddd/G9732Pu+66q/oitbe3861vfYuurq7lLl2jRo0aNX4JuPfee9mzZw+GYfC6172Ouro6zpw5w+7du7nllluWFeuoqiqCICz5C09VVQzDWLC92yLiDs8XXRdaM+SQ0YNWxHye+EW2nXufJq+Z8aSGrpWYSmSZShWIuMvCaCpVQC7mz7vv2axS3d7vMKM6ZMZmM6iqit9h5lS+wH/2TGCVJXRdp95twWWoGAb0jsbpG4uTLZQwAE0r4bZLBOwmQg4LBjCVzJHIFEEQMMsiTquELOiki2WRahLAJpWFiM9qYBYNbJIxzwojMidtwgDTWS2ezOZ56tgEVzR7uKYjOO85Xs7rdzEUpXzFYznr2e32qoDXNI1EIsHU1BRjY2Pz1nE4HDQ0NBAOh3G73fNOrJa6P13Xq7F/K8HGBg8Hh8EkLWV0EtS7LawLOzgdyyGh0Rm043eYOT2tE03mMAllwR60SYzNZphJ5pjOFACBNREXfsfLVw4qn4FkXmFgIkfQZWJV0IpFEilqOhZJJF9SGRorvy5js0VOTWfRNRW35fL8536biChZCTkuX+wKgoCiKMtKm7rYeqVSacnHJUnSZVfYdV1n+/btfOELXwDKRZGjR4/y4IMPLlmwC8YyT1tWr17N7/zO7/Cud71rXiTTXBRF4Qc/+AHveMc7lrP0LzWpVAqPx7OiE8ZeCS7VMvLrTs0SU+N/Ohf6P0wQBB5++GHuvfdeoGxJ8Hg8vP/97+cLX/hC1b/8u7/7u4yOjvLoo48ueb8f+9jHOHLkCL/3e7+3Yo+lRo0aNf67+OhHP8oXvvAFXve6113yGq2trdx22238zd/8TfW2Bx98kM997nOMjY0taY1lV9gHBgYuuo3ZbP61Eus1atSo8T+JSvXptttum9dsKEnSstMaZFmmoaGBu+66a0nbj46OMjY2xtVXX72s/cDCCjeUJ60ODg5y7bXXXvT+xyZSPHMiCgLcsCZEMq9weCTJFc0e1kTcTKUKmJQ0kyODXHfddRybSHFqOsuqsIN19W7++cVhnumPsjri4G07OgDon0rz/OkoI7ECJgnSBRWrScLjMHNDZ5B4fJZidJi/G7Qyky6QV8FpFmn02sgpGtF0OQlnY6MXSYDnz8xQVHQcFhm71cx0KkexZBBwmskXS3jNOr+1SufvBm3EswpzHDHzPOxuExiIyJKBy2Zha4uP11zRCBjMpEvVx5RMJnnxxRe59dZbl/16LEYul+Ppp5/mjjvuuKC1yDAMkskkMzMzzMzMEI/HsVgseL1e8vk8qVRqga2h8v6sDGmKx+MYhkEgECAYDBIIBHA4HBfcbzKZ5IUXXuC2225bscf75FNP8YkXpIunxIggiQI2s0TIaaG7wcsVLV5Kmo5JEqj32vFbBE4e3ofcupnnB+PIoki9x0Iyr+Cymlnf4MZjM8/7DFyIUqnE448/zm233bbsyMrF0HWdRx99lFtuueWykoXm8tOf/pQbb7xxybami/Gzn/2MnTt34nQ6l7T9pz/96cvu4di5cycnTpyYd1t/fz+tra1LXmPZR/DQQw/hdDp505veNO/2f/mXfyGXy9WEeo0aNWr8CpDJZDh58mT158HBQV566SX8fj8tLS3ceOONPPDAAzzyyCM899xznDlzhlQqhd1ur06HrAytuRCyLC9rSEnli7GyfcVXO9e7fj5PbDSb49RMAVGSiXgdi653IRr9Tra0l8cMNfqdNAI+p726z4jXwdSUyoRhYDKZaPQ7ESWZeo8Vk8nE1avCzObLGdjRrEp3o4doVkUQTShGEZvJRL3dzlQqz2xW59h0jiabCcEkEnDZSCsaBVXFbDLx2m0tnJ7OsPv4NIgSaUUnq2gkCpBTIKGoeFUDXRBJqzrkS4RdNijlkARIFHRMZplE5mXFPncAfVwDAwMDmM0XSRdjbGsPsrXFz9BsjLFkkUa/jt1uR1EUZFlekbQdl8uFIAgUi0VcrvmpJdlsdl7comEYhEIhmpqa2LRpE2NjY5w+fZpgMEgmk6k2A2qahtlsRpZlDMNA13XS6TTr1q3D6/USjUaZmpri2LFjWCyWavpMKBRaICrz+Twul2tFxCucjSMUZXSgeJEocYskkFcNCqqGbDI4OpVhJFnAQCTisnDdGjMTs3ksQLZocPvGRsq+eIPT0Swuq0xGgZdGZtna5mOn9+KzEionPZXn73Kp9BCYTKYVeQ4rvQlms3nFXhPj7Od3qeutxCyHD37wg1x77bV84Qtf4M1vfjMvvPAC3/72t/n2t7+95DWWfQR//ud/zje/+c0Ft1div2qCvUaNGjV++dm/fz8333xz9ecPfehDALzjHe/gu9/9Lj/84Q+54447+Pa3v40oimiaxh133EFDQwM//vGP+dSnPrWk/Sw3YUEUxWoVP5Yp8vOBKOmCissqY5yd3nk+wb5YjvRyGswqDa7n3jaXueudG4Pnc5jZ2uqnkmEOYJVFzLLI6oiTiNuKYZTz1M2yyI6OAEYxy/isQJPXwXRaoVAysJhlJpIFNN1gbZ2bQkklli1hoGM3i2i6jq4DhkDmbAk9XQSLXELSwC5DKq/isp7fhzz3FVF0SBdVfj4QJZ5VGIjmCLnMNPsdrKsrVyGLxeKKRDuKoli1ZlksFmZmZpieniYajZLP5/H7/YRCIVatWoXX60UQBEZHR6vZ7Rs3bqS3t5dIJEIikai+typNqKFQqDrNtL+/H1mW2bhxI2vWrEFVVWZnZ4lGo5w8eZIDBw7g8Xiq4j0QCJBIJJacgLQUBifjFHQRj10mn77IsC+hLL81HQTDwGk1oWg6zX4znSEnk8kCE9FZumWBwdkct2wop+ocn0zREXLSVefi+GSqOkxpKVQ+ayuRmf5KrFf5rK10NOty1lsJwX7llVfy8MMP87GPfYzPfvaztLe385d/+Ze89a1vXfIayz6CoaEh2tvbF9ze2trK8PDwcperUaNGjRq/AG666aYLCtm6ujrS6TSPPPIIr371q3G5XPzVX/0Vq1at4oorrmDfvn3cf//9F93PcgX7XEH8wmCMZweirA472dERuGg6zGI50nNPAFaCdFGloKjEMsUF+5pIFphOFc9OoSz/rqDqeG0WRNGgLegk4rLMu1KQTpuZHFDZ3OxB1cuTS0VR4KWRBIqqY5UlVM1A0TREwGGWKSg6kknEbBKRFVDOPr0zWRWTCLIIVhnShQuLNhEwnx2DapdFZtIlesdTWCSJJq+Neo8VSZIwm80UCoXLFuyapjE7O4uu6/T29lar7OFwmE2bNhEIBOYJo9nZWXp7e8nn82zYsAGbzca+fftYs2YNAwMD1NfXUygUmJ6exmQyEYlESKfT+P1+BgYG2LFjBxMTE+zbt49IJMKGDRsIh8OEw2GgfBJSqea/9NJLFItFRFEkFApVhfvlCsWBiVliBQNRuLiAzhYNzBLIEqxv8NAWsPPEiWkcZpHODfVMpgokRJ0SMh6buZrqM51SCLstTCQLRFxWbu4KL/o5WSwFpnL15JdVYL8S611olsJirNS05Ne85jW85jWvueT7L/sIwuEwR44cWRD4fvjwYQKBhRmuNWrUqFHjV5PJyUk2btwIgNPpJJlMAuUvnk9+8pNLWuNyBHssoxDPlkjkS/gc5kuKh1tu5vLFou0SRYNSSSlXMst7oKvORcBpWbTCX++xQquXZL7E6WiGwWiG9lA5ki+WKTIWL49xv21diM2tfqyyyO5jUxwYSuAwi0ykCown8wgYBFxWEEUkCSQRrLKEyyajZlSUs3qwpAvkVfCYywOULoQImE1Q0gTSBY2R2SyNPithtxmHWeLR3gn8DjOy2cJ0PMVoVlhW5N9ikYwmk6maoX777bcvehKQz+c5duwY4+PjdHZ20tnZSSqVYu/evaxfv55UKlWddBoKhZieniYYDFYr9m1tbQiCwL59+9i5cyfNzc309fXxxBNPsGrVKlavXo0sy1gsFpqammhqaqoe69NPP42iKOzZswdBEObZZyqTUpeDXTLQkMkWL/4Z0CgPt+oIOtnc5OG7zw0ymS4xmSiwuSVFZ9hJVNQxmc3UeaxYZRHfWZ96JfZxdcS56DAlmD+Jt5LLfmo0hsm8Ml5zKJ8ESZK0YlGgvwwV+5US7JfLso/gN3/zN7n//vtxuVzccMMNADz99NP8wR/8Ab/5m7+54gdYo0aNGjV+MTQ1NTExMUFLSwudnZ089thjbN26lRdffHHJDWXLzTCeWxG/piPAeDLHbFbl0d4J7uiuX7Zor0zAXCrnippzaQy4GTV09vRPkStBwGHBYzNVq/vn3qdy28mpNAeHZhmL53lpJEGDd4aSZuCxmGkQReyyQXejh1imSLZUQjM0mgMOLCaZ6VQBURRwW2QEBLIFmUKpRDSto6g6ulH+MndYwGY2kS6puE0GUQR05k87rVCZqWQYApJooBiQVzSKJY1kTmP/UJyJZB6zJHFXg4m+oSnSFh1afAse49yTHLukVy0uMzMz1aFH4XCY7u5unE4npVKJn/3sZ5RKpXmCXdM0Tp06RX9/P3V1dbzqVa/CbrczOztbFeuBQIDe3l5uuOEGnnnmGdatWwdAMBhkeHiYDRs20NPTwy233EJvby979uxh586dbN26lfb2dnp6ehgeHmb9+vU0NTVVhZsgCKRSKZxOJzt37sQwDBKJBNFolNHRUY4cOVIdvhQKhS44fGkuHrlER2MQo2/yotsCGBq8aVsTL43Emc2VIz79DhPr691MJAs4ZQNBNleHclXeX7FMEY+tcMErUFZZrE7fhfJ7fSyWwi7N7xc596RsOfnshUIBi8WyYhXxYrE8R2GlBHPl/5blHN9yZ0m8Uiz7CD73uc8xNDTELbfcUn0Auq7z9re/vZovWaNGjRo1fvV53etex+7du7n66qv5gz/4A37rt36L73znOwwPD/PBD35wSWvY7XYymcyS92k2mykWy+2RnREXOzvD/PTIBAPTGRwDUbobPBdtPp1LZRDOUgcALVYln0vE68RAIJnJ43Y52Nrmu+gQJzhrjbGbySkq0XSR3vE0ggGbW7yIspndvSN0dzRTUHXG40XyRQMBgY1NbgQMpjMFdA0SuTyarqEbBkXFoET5i9xmAr/TjssiUdAVQlaD/iSc79qCQVnIpxWDiFOm3mrCYZWRJYEWv5WI28quYwqzGYWj0RIRSx5TXWjeY41liozGMsRiM6TiMYbVDGqxgM/nIxQK0d7ejs/nW1AdNZvN1NXVMTQ0RHd3N4ZhMDExwdGjRzGZTOzYsaN6xX6uWG9ra+O5556jvb2dYrGI2WyuVr2DwSBHjhwhGAzidDoZGBhg8+bNvPTSS1XR7vP5uP766xkbG+Po0aMMDg6yceNGfD4fAGfOnKGlpQVBEBAEAb/fj9/vZ+3ataiqSiwWY3p6muPHj5NOp/F6vVUBX0mmOZdcOoWzPsLqUJae0RQXPXUUYHg2z0xaIegwY5JE3n1dBxGPjfFkgaBdJOhykDaJHB6JY5VFOiOuRU8WK69R+WpQZWKowFS6WJ106pQNNE2uivLKySpQFekXO4mdy0pYpxZbb6VOACon78vJdM9msyuWUHM5LFuwm81m/umf/ok/+7M/4/Dhw9hsNjZu3LisaJoaNWrUqPHLz5//+Z9X//3GN76R5uZm9uzZQ2dnJ/fcc8+S1qivr///2fvzMDnu8twf/lRVd/W+T0/PvkkjaaSRZVu2vMh4wcbYCXYAEzghJCdAcsKBJBAgeXMu3t9LcrKw/SCBkIWQHCAsISQhwYQl4B3LuxZLI2lGs6890/ve1bW+f7SmrZFG0ow8BJPTHy4uS63q6uqempn7+3zv535YXt5YdRHA6XSiqnWbiCiK7GqrJ4nMpEos5xXmMxWCbnndSu96rFb7FEXZkKXhYsJnFUEQkGUH17d6GR7oIuSRGV0uAoXGCPj1aA84oSfEUJuP0eUi2XKNTEUl5ndQXRE5PZuihJsbByLsiHnpDDoAi/GVEqWaTqZcwyFJ2CURn8OOaVlUMREAUQTThGRRoaJJ5P0WXvvFxfr5rJR0Qm4HdklkLF6iUNW5ujtIvqqTKtcYM016YzWCXpmQ2046nSaZTDKzEEcpF7DJLgLBMJ1tQ/R3tW0ofWPbtm08/fTTtLe3NwTw0NBQQzDDWrHe399PPB6nUChw4MABzpw5QzQabRzrdDrx+Xyk02mGh4d58skn6e3tvUC0u1wuurq6aGtrY3x8nEOHDtHR0UFHRwf5fJ4bb7xx3eu12WzEYjFisRhQF5KrVp/Dhw+j6zqRSKQh4P1+P7VajVqthtfpYagzQNAtc2gihXKJL4wkwRNnEoiCQHvITZvfiddlx2kTEQUwtRorZZmnZ5ZRVBPLoiG+V4oKhaqG3yU3bFrxvMKR2RyVmk5X2EVfi7dxXw3GvNjRKRtSQ5yv3qvnivTLLWLPZauak39c59vsAqBarZLP52lvb9+ya7hSrrjGv2PHDnbs2LGV19KkSZMmTV7B3HDDDY189Oeff57rr7/8QLL29nbi8fiGX2PValOr1XC5XES8Dna1QaGqspirYBNFfE7bhsQD1AW2w+GgVqtdkQd5PbweFwPdPrpiPkYW8xyZyVLR65XzVw1GLyn4k6Ua2YqGbBMp1gyem8lyjUsk7ABZEhhZyuOS6/GEj47VU1sUzSBbUbHZBJySQMjtxC1LGGYV3bSwCWC31YW8W7axUlVpd2+u0TZZUgi6/eSqVfKKTrpcAwRCbpnOALikMubyGb47ewSbzUY0GqWnpwfV7qU7Gty0Vcnj8WCz2Th06BDbtm3jwIEDa4T++WLdMAxGRkbYvXs3drudZDLJ9u3b15wzGo2STCbZt28fXV1djIyMcMMNN6wr2m02G0NDQ/T29jIyMsKzzz5LJBLZsFfa6XTS3d1Nd3c3lmVRLBYbAn50dBSbzYbX68XpdGLHxDAsVooKxmV6Tw0DlnJV3LKExyWhGgYnF/OcXMozGi9yb6jED6Z0lhU7PRE3k4kiJcWgLehgPlNlpaDgc9hIFhVeNVjfEbm2N8hMqoxpQcBlpz3gbNhncui0BD2NHavVr2O2rDbsM5dbxJ7Lj6PCvlV57ldyvng8js1mo6Wl5fIH/5jZtGA3DIMvfvGLPPzwwyQSiQuaeR555JEtu7gmTZo0afKTo1QqIUkSLper8dixY8f4f/6f/4fvfve7jczlS9He3k46naZWq23oF6UoijgcDhRFabxuPK8wkShjmQIDMS/DHYFGQsZGhITT6URRlMset1GcTmfDttMecHJtX4iZVIli1SCeV9a9ptWKZbmmnU3cE8CEmmEgeGUGgw5Ml8zx+RxdYReCIBDPVc9WTG04bSLFmk7ZhFKtTG+k/jnMZcpkyipem0Sr30muWmO6YHFt38aHmNsF2BHz09vixjRNLFNjKGTS5dJptauIGAiCDb/HyVUHrsHv91+xRcE0TaanpxkbGyMQCKBpGq2trZcU6wCTk5PY7XZ6enqo1Wrk8/kLRFQ0GmVkZASAoaEhHnroIZLJJNFodF3RDnXLVigUIpvNomkajzzyCMPDw7S1tW34PQqCgN/vx+/3s23bNkzTJJvNcvz48brdZ/R5thsCllvA2QInMgI148Jz2wDTAt0Au2GSK+vkykVG40VkSaSiVPFETUZTOl63jURRoagYaKbFdX1BHDYRzdQpVY16BOTZqnnAJXNDv3ONlWz1HrV0jZao94LvJ0U3Gz75zaAoypZOg/9xWWw2SjweJxaLbVnT68th01fw3ve+l/e+970YhsHw8DD79u1b8/8mTZo0afLTzcLCAgcPHiQQCBAIBHj/+99PpVLhl3/5l7n++utxOBw8+eSTGzpXa2srgiBsyhazKthXWa0S3rIjynBHgJGlPEfnsg2RcTmuVLCnSzVGFvOkS7U1j597vnp2ewv3DLdzTW/wAo/36vPbA04GY/Ws7LDXjqob2CSwiQK5mkBNUTi9nGNkMUeiUOXanhA9YTeyXK+cHxhoYaDFi02q53SXVZ2wV8Zuk9DM+pTX+WyZZFFjpiAQdkJY3phod0oWZiWLPb/IPS1Z3tpVYNBdRXY4oKWfm267i6FdO7EJ1suKOkwkEjz66KPMzMxw3XXXcfDgQXbv3s2xY8caSULriXVFUThz5gzDw8MIgkAqlcLv918gvCKRCJVKhXK5jMPhYOfOnZw4cQLTNBEEgauvvppIJMKhQ4eo7ye6MgAA9FJJREFUVqsAFItFxsbGuP7667n99tsZHBzk2LFjPPXUUxQKBa4EURQJh8MoisKOPfv4XraVb80I6KbFvV0WH7ne4L17dO7pMhjwvRT5KAhgs9UXUFBPNFF1k7KqU6yphG0GiSpUDHDaRRTVQgBCbpmxlSKZskqhYpzN4LetsbYoutlIjzk0keTQRIp0qUa1WqWki4yvlNZ8P63erxvdyVrlJy2wt/p8S0tLrwg7DFxBhf3rX/863/jGNzY8ZrpJkyZNmvx08Xu/93uUSiU+/elP8y//8i98+tOf5vHHH2ffvn2cOXNm3VkcF2PV+xuPxzfc63S+wK7bYuopGStFhWLVQBQhX9XWzUO/3Pk2wrlDm873yzscjgsaadezDZzrA14VSz8aT3JiIc+peAHTtHA7JCItNtqVLEtVP+myyrPTOVTD4rV72mhbdNIT9rC91ctoPM8z03Z03STik7GJIgMtHnTDoFIz0A2LmqZTMQRSCnR6LDLqheJaxKLbCzsDFjuDJn1eyKowURB4YsVOXJXxu5xc1x9CstysFFX62to4ffr0FUXclUolRkZGyGQy7Nq1i76+vkbFctWbfvjwYbZv384zzzyzRqwDnDp1ilgs1qior1bNz8dutxMOh0kmk3g8HgYGBpiZmWnMj1kV7auV9uuvv57Dhw/T39/fmN7b19dHZ2cnY2NjPP744/T09DA0NLSpJsV0qcb04gqmabGkSJxaLjGfEzmehXafjFarsS1gsTNocUubgV2EibzAbEVgoWJnoWQCIgGXjVafk9PLBRTNoDcI8YpAm9+J32XHZZe4Y2crS4UqPzy5jGlCxGtHstkInxeDuiq8Vz3tWOC11z3avT4fQrXSSI+Blyrtm9nJgh+PwN5KO8qq1W6jxONxOjo6tuz1Xw5X1HR6vm+sSZMmTZr81+HRRx/lG9/4BgcPHuRNb3oTHR0d/PzP/zy/93u/d0Xn26yPfT2BvSp+W/0Orjkn13zVq7sabbde/JzD4aBSqWzqmuP5+sLA57rQL+90OkmlUpd/H2dj9BRVZ2QxT76qUqwa6KaJyyYh2wQ6Q2762j2IqRVePRjG55CYSJQYmS+QKtVo8bm4tjdEwCWTKmrcv8+FXRJ5dDTB4dksDrtI1OdkplZG0QwqZ+O+50sCMRecyAJYRJ2rAt1iu9/CsuBMXuCFpMhXJwQyNQER2NbqJOKVERCZSZWpqgZD7V683gAej4d4PE53d/eGPkNN0xgbG2N6epqenh7uvPPOC2xRgiBw/fXX8/jjj3Po0CGGh4fXiPVsNsvS0hKvfvWrgXrVOZFIXHRHf9XHvrooGB4e5siRI3R2diLLckO0HzlyhCeeeIKWlpZGNOQqdrud4eFhent7OXnyJA899NAFC42LkS7V+P5InMryDF7Zw9MjcZJnJ5xKZ69fsQSeTQo8mwQBi3Y37ApYDEfg7o4aiiEwU5bI6CpZXcJtt4MF24IGOV2mr8WDbJfoDroRRIG5dJXZbAW7KNEZctERcuN31S1G5y8kV3erClWdTDaL0+VCQ1rX/rKZdJjV772tFuw/jqbT1VSgjRCPx396K+wf+MAH+PSnP81nP/vZLR0V26RJkyZNXhksLy+zbds2oD7x1OVy8XM/93NXfL4rEeyrHvHGOc5JqlgV58mz1fZV3/jocoEjszmu7Q2yq81/Nr3FIijYLjjfZa/57MCj9eIjXS5Xw1KxHqtRequNfgu5KkVFJ1WsohoWt2xvodxjYJdEOkMudrX5ef7QJGGHyc/u7eDwbIblgkJVMylWNKA+sCjf6qZQ1TmxmGVspUiyoIBYXxjU9Lq1QqSeDhOvwDURkxZnXaT77TBVFBjLCfzHgshiGSzW/g43gcVMhZ0xLyeXisykDLpCHq7uqXId0NPTw+zs7GUFu2VZzM3NcerUKfx+P7fddtslfc2lUqkR05hKpejt7UWSJCzL4sSJE2zfvr0Rq1cul6nVahcd1BiNRpmammqMn4/FYoRCIUZHR7nqqquAumgrFAqNnZKLVV19Ph833ngjKysrjIyMMDMzw/DwcGNS6nrE8woTKwV2WwWez4QZSWfRz7Z6GEBB0ThXF1sILFVgqSLwfApEQaTPZzIUFhh0V2lzVSiGJZKaTLfD4NiiQc6scWAgRNBtZzpVIp6vUlN1BBkcNhGwcEgXX1gEXPXdgsRCHp/Te9EUmM2kw8TzCuPxHKJhbKqCfTleCU2nm9lR/HGyacH+5JNP8uijj/K9732PPXv2XBDf9M1vfnPLLq5JkyZNmvxkODdTWhTFl1XlupKkmNWpqqucXymMeB28ajC6Jo4OhEZDZzyvcGQmCwIcaBM3bYm5VDJGIBCgXC6jaVrjd+BqhdFpE3l2Os3R+RxeWWIw5sNhEykBp5fr0ZSyJNIf9VKsGo1rtexupheTJASVoFvmrt0h6m9GIFmo8r0TS8T8TlbyNdIVBbddpMXroKoZmJaJ1w7bgiKdDo1+n0Wnp568PVW0+MakyERRQDMvX2QzTJhNV6iqJggWIa8Nn8PGyGKelkiM3Ogo+XyeQGD9aZqpVIqRkRE0TePqq6++bPPmqmd9z549dHZ28uyzz/LYY49xzTXXUC6XqVara3b1k8kk4XD4oracYDCIaZrk83mCwSCCIDA8PMxjjz1Gb28vxWKR48eP097ezlVXXcXx48cvaEQ9n1gsRjQaZXp6mhdeeIFIJMKePXvwer2NY879+ve7aqglCc3mIurVyXhrLJfqWx8VHWQBXDaonjf8VBAlKqrBibTIybSFwy4xEHZyoF0mYBWxCRY/11ljsapRzNeYzLqYr0BR0RAECaddIl2usVysEXLLBN0yI0t5hjsChDwy8bzCfKbMxEqZ7TEvPlGlJRy66L2+mXSY9oCTSsEi43RuKNZzIxiGccFwrZfLlTSd3nzzzVv2+i+HTQv2YDDIG97whh/HtTRp0qRJk1cAlmWtGY5XrVa57777LvDxHjlyZEPn6+joYHFxccOvvxHP+Xr2l11tvkZsHcC1fXXR2+a2ODW3dSkxDocDp9O5Jqlk1T4gCBbjK0UWMhVafTI1zc1EokzMJ5/N0q4PrlFNi6DTzkyqhGkKhGxu1HyOxZpMyC038ucfPrXMXz8+SaKo4pEFOkMeXGerqHtjdsKiSYtdp8djopgiU0WRQwmYLMC7hkzmyyLTRQFtg2EfXodEwOUg5JKpmRZht4NT8QJLeYWBqAd3qJVTY+PcdOC6Nc+rVCqcPHmSlZUVduzYwbZt2y47qGq9BtODBw8yOTnJU089BcBVV121RpxfzL++iiiKtLS0kEwmCQaDQL1S3tXV1Tjn1Vdf3fAlXyw9Zr3zbtu2ja6uLkZHR3n00UcZGBhgx44d2O32xtd/e6uHsJkj4Y6yK+wnV9XRdINUKcuqPlctsOlgE0A/py9Y0w2CbjuFqgZCPeJxoaChIXFtQCCviBxKyOwMQYdL4Rp3mWvdsOCxUTCdRFuDeNweptIVIt66WH9+OgvA9lYfT55JMZkq4JHtXOsKUlku4/X1MrKY3/AgsosR8TrI2DTYhN3kciiK0ohl3QpM00RV1U03nf7Ueti/8IUvbNmLf+QjH+Gb3/wmo6OjuFwubr75Zj72sY+xc+fOxjGWZfEHf/AH/M3f/A3ZbJYbbriBv/iLv2DPnj2NY2q1Gh/84Af5h3/4B6rVKnfeeSd/+Zd/SVdXV+OYbDbLb/3Wb/Hggw8CcP/99/Pnf/7njW/oJk2aNGlS58Mf/vCav78cOwzUK+wvvPDCho+/nGBfbQhdziu0BZwND/v5FcGD21/KdD+mqmsq4i+XYDBILpdrCPbVRYKi6rw4n6WmGawUa5yKF4j6HKiGnd0dAQZjPmJ+Byv5uq95IVuhM+jG4/NRza6gWxarBennptN85dk5kmUVRTXwSxYtFLkqINASVZEEKAsuTqRl/mPJwOHyUlXNulde1RjNC+xrETie2dh7ckvgcdqpajo9IRcWIoZloukWPqcNEMjbIpSWT1IsFvH5fOi6zsTEBBMTE3R0dHDXXXdtSBCtJ9ahLowHBwcpl8ssLCxw8uTJemNkby8Oh4NUKsXg4OAlzx2NRonH4wwODlIsFpmenmZxcRHLstaIdeCCRtRLiXaoL9b27dtHX18fIyMjPPzwwwwNDdEWrg9UyiTi1FSVBcvBVa1O4vkc8XyV84rp6IDjPMFuWXBVVwCHXWQmVWIlr2IBDpvAdq/Oo8sSpt1B1eHmW/N5cpUa3V6BoRDsCau01mYRTZmOcIA+tx8c9UXfaoVdMw2qqklPWCbikkhVKsSrAqnKxnzql2N1V2OrqFQqWzrldNUWt1lLzE+thx1A13Uee+wxJicneetb34rP52NpaQm/379mi+hyPP7447znPe/h+uuvR9d1PvShD3H33Xdz6tSpxoCLj3/843zqU5/ii1/8Ijt27OCP/uiPeM1rXsPY2Bg+X/1mfN/73se3v/1tvv71rxOJRPjABz7A6173Og4fPtxY4b/1rW9lYWGB73//+wD8j//xP/ilX/olvv3tb1/JR9CkSZMm/2U5X7C/XK7Uw77qQz6f1YZQzTBZziv8aDzJqwajjX9br+nU4XBQKBQu6n3eDOlSjYJhJ7uwQqite81iYWQxj2UJ+GQ7ToeITRTpCrm5oT/SyMFevc75TBk1YdEf9bAtHOHZudPEPBIrhfp7mk3k6HHVuHGbRbfLxGMzWVGgKrp5POtAlVz0hDw8uRwnVbTwOMr0R7247E5KisaLSYFf3qGDJQGXFz2KAamSQqqokK9q3DgQoSvkpi3gZLgjwEpRoTUSwCZ2Mjo6Snt7OydPnsTlcnHw4MENN/NdTKyvUqlUWFhY4Oabb0bTNCYnJxkbGyMUCjVsEqqqXrDjY1lWoyqbSqV4/PHHKRQKdHR0cMstt5DNZhkbG6Ojo2NN9X+jon3Nrk4gwM0330w8HufkyZPY7dPs2bOHiaUZjuTcnCwUmcsqZCsquaq27uegmvUIR92qf3W8Thshtx2nbEc3BJyygmVadPpEgrJJ3vSxp8NPm99Jtqric9iw2wRGy5DAQXdYpk+GdkNjYWaKcqlIMBCgJkcxhCiv3d1Kd9hNV9DF6Nwyligj2mRa/ZCvqo3EpfN3ry7WzH0+uVxuww3JG+FS1qsrYdW/vtFMdVVVSafTP72CfXZ2lnvuuYe5uTlqtRqvec1r8Pl8fPzjH0dRFP76r/96w+daFc+rfOELX6C1tZXDhw9z6623YlkWf/Znf8aHPvQh3vjGNwLwpS99iVgsxte+9jV+/dd/nXw+z9/93d/x5S9/mbvuuguAr3zlK3R3d/PQQw/x2te+ltOnT/P973+fZ555pjGl7/Of/zw33XQTY2Njayr6TZo0adJka3k5007Xq9auNoSu+sXHlos4bCI13Vw3hhFeqohvhWCP5xVmihCqFdYMSkqXauSrKu0BBy6HjZDLRk2z6Gvxsj3mW3OOiNdBe8BJd/ilKZM2h5MeqUK6WCVbKNNr0wmHbODykbdcHCsI+NwO4jmFiWwJn1PD0CvItvr017aAzGCrl96Im5puMp8uIQrQ5oaZ0nrvZC0mUNVAEkDVDa7rDbE95sdpExlZylOsGlzTG6TFW/eap1IphoeH6erq2nAV9HJiHeDkyZN0dnY2ohZjsRiVSoVjx44hyzLHjh2jWq3idDobdpnHH38cXdep1Wr4fD4kSSIcDnPTTTc1hH0gEGBmZoapqakLqvQbEe3np6YIgkBHRwexWIzJyUmefvppJFEkFu1gqlpkOlWhqmpUtfUHjFmAZtXTYxw2EESI5xScDh2/w4ZscyIg0G0vklTtBDwOHDaJkcU8qaJGi9dOzO8iWVIo1FQmkiYmbgRXCz6njZ5OGbdRZiWbYW5+AV1TaY1EqBo+tEIOu9NDzOeof20VnYCrHgV5/vuM5xWOzmWZcNouOslX0zTK5fKWVti3umK/2YbT5eVlBEG4ZJPxfyabFuzvfe97ue6663jxxRfX/OB7wxvewK/+6q++rItZbTJa/Sadnp5meXmZu+++u3GMw+Hgtttu46mnnuLXf/3XOXz4MJqmrTmmo6OD4eFhnnrqKV772tfy9NNPEwgEGmId4MYbbyQQCPDUU0+tK9hrtdqaVIErHaDQpEmTJv+309HRQSKR2HCGtyRJjSjG9QT7udaXlWKNTEkjXVKxLKGRzz6xUlwz2XFVsG8F7QEnu3piZM7ME/W89H7ieYVEQWW4K0TAZcdpE9dU1c8n7JGJJzL86PAEPquCXqvhEhK4JDcvpOzMV5wgytwwEKKoGMzlSnQhUlQ0TMvCbZeQbCJD7QG6gi58Tom8YiJLItf11avdp3MFro+azJQkbNRF4qXm01qctWkIIs9OZSirBmGPTFHR8ckWxcVxZhLLhMNhVE0nJ3hxl9UN2Sk2ItZTqRSJRII777xzzeNud30K644dO+jv76dWq1EsFlFVleeff57du3fjdDrx+/3YbDaOHj2KKIprqvCrDajPPfcc3d3dF9xblxPtF0tNkSSJnp4exsfHsbk89JZmkdsC/HsVkkUd5Xw/zHkYgKpDxCaRqaj4sTjQF8LrtLOQq9KnpRgve/A6beSrWt2n77PTE3aznFWYSVUwTQtZUrFJMJUsAQKDrX46Q06C7hhXD++kLyCRTCZZjK8gKxlESWL81ItMZSBtOOg4+76cNnHN0KT2gJMJp+2Sk3xzuRwul2tLE11yuRydnZ1bdr5KpdJIG9oIS0tLxGKxTc8d+HFxRSkxhw4dumArqre3d1NNRedjWRbvf//7ueWWWxgeHgZoTMaLxWJrjo3FYszOzjaOkWX5gq24WCzWeP7y8vK6K6TW1taLTt/7yEc+wh/8wR9c8ftp0qRJkyZ1YrEYlmWxsrKy4V/AgUCAXC7XKOBcjNVG01VxvJrPfmQ2Q9AtQ0/9d0PesFPI5l7uWwHOJtQMdfIfcyNIehWoWzjPj55cj2q1SjKZbPxfUTUyuoOcy8+egZ3E5yaxfL1EqVJJl1kpqKRKdbtCulxDEgXcso3BVh+dISdD7QE0w8Q0BQTBYjGbY1xRsUsiTlniWFbiF/t1fjBvUTYEjI0NP6WkqJxeLrCQrbK308s1IQ1leZGyP8w1NxykLeznPx56mImJSYTBwcsK9o2IdcuyGBkZYceOHReIaV3XyWQyXHPNNcBLNidNq9tNotHomv6EaDTKxMTEBa8RjUaJRqOcPn26ca5zuZRoP3eheK5NJOyROX78OA5fiLi9A5u9TEc5zlt7qvyrDs/XBC5lSRKBgNuGS5bQDAuvbKMn4iHqdeARVKzlGgu1IKppsiPmo6oZ9ITdzGcrPJPJUlI0ZJuITRIZXy6gmgIeWaIj4EQzZHIVFZddwufzsVKBtGwhCEkOXH89xycXCbFCv5wmdSZBxhWgu7ON/Tt7G5/n+olMa9lq+4qmaZRKpS2tsOdyuU1d4yvJvw5XINhN08QwLlyfLywsNDzlV8Jv/MZvcPz48XXHXZ+/1XYxX+Oljlnv+Eud53/9r//F+9///sbfC4XClnqzmjRp0uT/FmRZpru7mzNnzmxYsG+0In5+o+lqPntZMdaMZ18qi4jl0hVN6rzUNZ6bFLNeDJ6maaRSqYZAL5fLeP0BbO4A7dv2sFgVSS3l8TtlFjUHlm6gKRXedF0viqrz9FQa3TBJFVUibgcHBsIMtQXIlGsUFR3NMAl7HPhdNhySyGKuQjynMBrPMZ0sUdUtMh2wN2Lx5MrGm/e8DjuKZtDnVulV0+RSEoT6mVFkXHmDzqjE0PA+Thx5joB06ZzqjYh1qFtudV1nYGDggn9Lp9O4XK5Gf9vliEajHD58mFqtdkHVd8+ePTz66KP09/evKwg3a4+p5pKk02muueEWlsfSzBVF9nYNMXr8DPf1FjgYg3+fk5govvT5y4AlgChA0G0n5JYxAacs4HPamE1VSZdUyCzjdoeJmC5yZZ1kqUapZiAIkCyqyDYBWRJw2EQ8Djs+px1VNwl7HTjsEsdmc3icErIkslJUmEmVScXj9Lq8xGIxrvUE0X1tjMxnkI0KYUMhtzTDdydPEgwGaW1tJRqNEg6HL+tf32o7jNPp3NJIx3w+v6nEl/Hx8VdMBjtcgWB/zWtew5/92Z/xN3/zN0D9xi6VSnz4wx/mZ37mZ67oIn7zN3+TBx98kCeeeGJNsktbWxtQr5Cfu8pJJBKNqntbWxuqqpLNZtdU2ROJRCM7s62tjZWVlQteN5lMXlC9X2V19d6kSZMm/7fy93//97zlLW+54Gehqqp8/etf55d/+Zc3fK5rr72WI0eOcMcdd2zo+EAgcNEd0EtxfjVwVWRYVoj5tEw+n98SH/vqNZ6/qDBNk2w22xDo2WwWt9tNa2sru3fvpqWlhbFEhfGVEplSfeLowe2tjV2CiUKYDkFhPlMBLK7tDeOQBFr9Tmq6gXZ26s7OmI/vnohzaLxEZ9DF3u4AlgUBp4OiU2cxX6WsAwj8aFnk1naT5xMCNUvAbQNFr3vWL4ZNr3JXu0mnx+J4wcus6iZaqqEYVWJ+GWihvzNGJTfA5OgJ2ltuWXchtFGxrmkap0+f5uqrr143DvJycY7n43A48Pv9pFKpCxaJHo+HgYEBTpw4wS233LJu4W6j9hhRr3H0xIvsGBqmpMFkosR0usxoPM9UyuQf8xJ3dpr8+pDBkbTAv8+JlDUBm62eeS+J4HZIaBaYhonXITOTqWKYsL3FQY+eI9yzl19pbWFkKU+mVGMqVUYzoFDWCHvsCIKAohp4HXau6QmgGRZzqTJnloskyyo+h0RNt8hVNa7qCuBxa7TH6voq4nVw794ODvRHGslLvoCTAz0+9HKeZDLJCy+8gK7rRCIRPIEQmt1Hb1uEFt9LYjqdyWK4w43G1ZfLVvvXdV2nWCxu6pyHDx9m//79W3YNL5eNtcqew5/+6Z/y+OOPs3v3bhRF4a1vfSt9fX0sLi7ysY99bFPnsiyL3/iN3+Cb3/wmjzzyyAXfzP39/bS1tfHDH/6w8Ziqqjz++OMNMb5//37sdvuaY+LxOCMjI41jbrrpJvL5PM8991zjmGeffZZ8Pv+KCcRv0qRJk1cab3/72y8YYARQLBZ5+9vfvqlz7d+/n8OHD2/4+GAwSLFYXHdH93JEvA6GOwMN4RDxOtjbFSQcCm2Zjx0gEomQSCQ5PL7IidNj/OjQU/z7d77Ls88+R6lUoqenh7vuuou77rqLzoGdpE03hVrd0z4Y8zLcEWAw5mVXm4/2gJOVYg3d4adWyPCd40v88+F5nhxPUDNM9nWHcNgkji0UePjUCk9PpUkUayiGQVnVefxMgh+cXEYULa7rDSFLL4nQF1ICARl6z26CVy7hqXbbLB7oN/ifuw0WyvCxFyV+OGeylKuyXFAoVXWm02XSpXqP19DQEJIkcezYMSxrrd9mo2IdYGxsjEAg0CjUnc9mBTvUba+JRGLdf9uxYwflcvmSVt5V0R6JRDh06NCa6bYRr4NdMQ+zY8cxXGFSlpt/OTLP89MZTi3leH4mzXJeoWYKfHde4iMvSjgl+P9ebXB3l0nUKyMAurkq3E3CXpneiBufbCNRqqHmU5h2N8P9HWyP+Xj9NV3cuqOVoXY/hmFQNQ0iHic39Ie4YSDCcKcPRTU5uZhnNlOhoGg4bQJ2UcA0LYIuGwNhF0KtSE32Nb6Gq/ae4Y4AbQEny3mFR8eznMzbUAK9XHfwdm699VZaW1tZSSSZP32EZ554hMOHDzM3N0c2m0WpVnhhUT07Xfjls1n7yuXI5/ON+Qkb5ZUm2DddYe/o6ODYsWP8wz/8A0eOHME0Td75znfyi7/4i5seR/ue97yHr33ta3zrW9/C5/M1qimBQACXy4UgCLzvfe/jT/7kTxgcHGRwcJA/+ZM/we1289a3vrVx7Dvf+U4+8IEPEIlECIfDfPCDH2Tv3r2N1JihoSHuuecefu3Xfo3Pfe5zQD3W8XWve10zIaZJkyZNLsLFbIMLCwub/mW6f/9+vvKVr2z4eJfLhd1uJ5/PX9bHvlECgcC6C5DNoigKyWSS+aU4NbXG/KkXcPtDCC4/Sw4fw/0xrhtc2zd1roVitTob8siNRcWhiRT/eniBYlXhnmCNRDaP2+WmM+gGBJ4cT7KcrzLY6qaqmZxYyON2iNy1qxW7TeR7I3EKFZ0Tizk8DhuiKCJQbyJVTYGnVgTu6DA5U6hXr8+vrotYHGyzuLfbZKYo8IkXJRKKgA0QNRXDstETctMVdhNwOhrNh6IocuDAAR5//HHGx8fZsWMHsDmxvpqVftttt617vymKQqFQ2LRgj0ajjYXE+ee12Wzs3r2bkydP0tbWdlGb1MUq7ZZlceTIEVxOJ10Duygo9Yxzp1NCqoiAiF00MS0wLCjUBL50RmJX0OQNfRY3xap8f8HGqTyIgkXAWf8sHXaRXe0+zsQL9NhLhNq2r/HNr07RlQSB6/tC7O0M4XfZmEqWGVsusJCpYJgmFhaCUPe1q6aFKAqEPA5+NDKJ17JzdLzAi/Eq9w63o+gm4yslWv0yDptIvqqyXFDQDYvY2Sp6wGWnPdbFtbEulrIVPCjUSjlmZmbIZrMgiAS0JLWigKYFXva8g61uOF217Gw0zSiXyzE5OfnTLdih/oP0He94B+94xzte1ov/1V/9FQC33377mse/8IUv8Cu/8isA/O7v/i7VapV3v/vdjcFJP/jBD9b45f/0T/8Um83Gm9/85sbgpC9+8YtrttW++tWv8lu/9VuNNJn777+fz372sy/r+ps0adLkvyLXXHMNgiAgCMKaiadQHxc+PT3NPffcs6lz7t+/n/HxcQqFAn6//7LHC4Kw4cbTjRIMBjcVL7mKruuk0+mGzaVQKNS31p1+DLsXyeVl//VXM7pcRCtlEYQLN6/PbUhdLyZvMVNmJlvGK9tIazI9Lg3Dbac/6iXmc3DEMCkqBlf3hFjJKzw5nibikRm+rm4FPbNcYmQxx8mlAh7ZhmiB1yFQrlmYwCNLIv+/awy2+S0mC2tFy86AyRv6TEQBvjwucjr30vUb1LfiTdMk5JZ5/dWdOGXbmuZDh8PBDTfcwI9+9CPcbjdut3vDYh3qMY69vb0XvS+SySSBQOCCsIvLEQ6HqdVq9b6BdWbEdHd3Mz09zcTEBLt27broec4X7TfffDNTU1MUCgVuvfVWZFlmYqXIYMzL7g4fK3mF56YzLOarJAtKXYhLIrJdQLXb+HZCYIdX5ed6FW6sivwwbjSaiZNFlbBH5oZWAwQb3R0djQp4vqoyvlIkW6ox3OnnwECUXW0+smWVh06uMJUo4XXa6AwHmElVMCyTrqCbsmbgliWeHE+w05ZBdHtwSQIz6QrPTqfpa/HQ6q8vCiYSZQAGW72EPTJ+lwxYjcXmuTtX0M7Q0BBPPfUUgs2OUzEpL8/wvfl6Zn40GqW1tZVgMNjIPt9IpvuPo+F0s02xR44coaenp9Gf8kpg04L97//+7y/575vxNJ6/fbYegiDw+7//+/z+7//+RY9xOp38+Z//OX/+539+0WPC4fCmqjtNmjRp8n8rr3/96wE4duwYr33ta9eIHVmW6evr44EHHtjUOWOxGB0dHRw9epTbbrttQ89ZbercKlZtNpdrPLUsi1wuRyKRIJlMkslkcLlcRKNRdu7cSUtLC7Isky7VODM1Szm5ULdItJ2tRK6TpHF+Q+pqTF7dQlDgVLyAS5IYaveBBbtJ8uBKiWcn09w93Ma9w+2MLOXpCrqYThaRBAvNNBlbzuOwSfS3eFjOV5lOlXFIAoMxHwVFI1/VyJU1aobOw0si9/cY/OlIfZBSi9Pi9b0m2/wW358X+dGKgGmtFfOSUG+OdNptSKJIzTCpVTXyVZVdbf7GewoEAhw4cIBnn30WgOHh4Q2J9ZWVFTKZDNdee+1Fj0kmk1eUhW2z2QiHwySTyXUFuyAI7N27l6eeeoqenp5LRv6tivajR4/y2GOPIYoit9xyS+M+eHY6zUKmyi07otw51IbDLvGPL8yBAE6bQG/YjWSX0A0DmyDxTMLghYSTg60qv7JNYbIClr+dkM/FtoiL/NQkz+QCjD47S3fEzanFIp0hJwGXnZLbgVu2M5UokywqOGwSk4kiC/kqHbgYavfT3+KhJ+JlsNXLyFKeh0+vsJgucVt3lY5tu7jK6eHpqTQ13eDJMylkm4DHYcPjEAl76oO+VmcHpEs1Aq71E2I0TSOdTnPHHXcwkzcYXynRF7QRluq7UNPT05imSUtLC9FolJzpZDZf39+5mGAvFAqbtq9cjlwut6nEl1eaHQauMIf9XDRNo1KpIMsybrd7U4K9SZMmTZq88vjwhz+MYRj09vby2te+dsuizVZ97JsR7GNjY1vy2lAv7jgcjgsaTy3LolwuNyroqVQKqFsqurq6uOaaa9ZNJ4l4Hezf1cf3Z0apVqtEvK4NNdyd2xg7nynzneNxUqUaQ20+Hri2G9MwOPHcCiHJYClfYT5Txu+SedVglNHlIpPJCrppUa7pPDuZxuuSuaY7yL7uALmqjiAJ9bx1wyJb0VA0HcuCJ+MCr2qDayMWnR6TW9ssnk8K/NFRibK+vlVAt8Apgt9pI+qX+eHJZZZyCn6XnTdcCwe3v2RTOXcRtJFquGmajIyMsGvXroseb1kWyWTykoL+UkSjUZLJ5EUXD+FwmPb2dk6dOsV1113XeHxipcjIUp7hjsCaoVcOhwPDMLDZbBQUgxeXk5xczPP8bBbDsLiqO8Bz02l+dCaFYVjIogSCiM8ps7PDS6VmsJSr4nVI2EQbJysuDqdK3N2h0qXPUKxEGcsqmFWB700UCLk1ukIu8lWNVKlG1C/jddkJue2sFGskSya6aVLVTKqKTkqssVKosbcrgN9Vt6WoukGpqtHvqlHQ7aQTKh6HSdAtIwpQrGnEEwp2SWRPh5+Q24mim2uq4cOd61enk8kkbrcbr9dLO3VP/Gr1vLe3F8uyyOfrzavLy8uk02nskp2i0cKC1UZLS8sFwnyrE2f+KzScwhUI9mw2e8Fj4+Pj/M//+T/5nd/5nS25qCZNmjRp8pNFkiTe9a53cfr06S0758tpPF0vOWSzCIJAJBJpVFxX4xYTiQS1Wo1wOEw0GmVwcHDDfldZlolEIiwvL9Pf37/hse6rFfd8VaOqGhgGtAddrBRrgIUzGOUuu4o9GmYiUaZSy5MsKmTKNVYKClhQUTVm0iZ9EVANE4/DTtTrYDJVZK6mIQgSlmVR0+tedocIZ/ICbxs0mSrAn45ILFUu/x51A3TT4unJNIpmohomUZ+DkYV8o8p+fGKBqVNH6ejdTm9bmOeff55KpcL27dsv+jlOT08jCAJ9fX0Xfe1SqYSqqldsi4pGo4yPj2Oa5kVH0u/evZuHH36YdDrdWMg9fHqFx8aSTPeXeM2edmJeO/OToySTSW6//XYmJiY4/PwzPF1qYSxZJVWq4bJJjMYLuGUbxZqO12mnK+RGN02u7g02/OKnFnMcX8wz0OLhVLzAoQmFL4xbDAfh7o4EnQ54MClgGBKaaaDqBj6XnZpuMLZcJOi0Y5NA1+vp7lXNQDNNZNmGz2kj5KkPXMqUNLojLp6bzrBSqnJrh8ZU1cPSdIbuoJvBNi92SaA75Cbmc1DRDHa3+4kFXC9Zt2ZzTLiki044XV5ebjQKrxdrKggCwWCQYDDI4OAghmGQyWRIJBL1z/DwYfx+fyMff/X7c6uSnKBesZdledMNp6vW7FcKWxJGOzg4yEc/+lHe9ra3MTo6uhWnbNKkSZMmP2H27t3L1NTUlmUR79+/n6997WsbPt7lcmGz2bak8dQwDNLpNLquMz4+ztjYWEMoXH311YTD4SvOZ18d1Nff399oLs1XVQIumflMhYmVEtf2hTi4/ULBs6vNx5uu6yJTVgl7HByZyYIAN/d0Y40dozXsZCZTxm4XKCo6JxbypEo1uoMuVNMkUVDJV3Wen84Q8zvpDrtYKlQpKwYuu0B30MvIYp4Ot8Ub+w3cNihrcCwtbEisQ93Hni3XqKgmkgBepx1ZEshVNOJ5BUEtM3XqKKeqfspVFwdiMQ4ePMhzzz1HoVBYN6qxVqsxOjrK9ddff1EhDfWI5kgkcsULttWF16V6IVwuF4ODg5w4caLR+JoqKSTLCnPpCuNLGRby07hlG7fddhtOp5Orr76alSeeYa+yzAnVQaVmYFmwmKtyoD9Md8hFqqSimSZYAhVVJ1dRGVspYpcEDm5v4chsljMrRbDAZZc4U7TYURZQTYvXdlvsCpk8m5WwiSL5ikpNMxEEEEWYSlToCLiIeO0sFxQiHhmXXSLglon66vdZqlQDy4ldFOj3iQRki55oB1JBY7DVS1+LlyOzWbCgO+LBsoQ1Yt1pE/G5JIqKvu6E09VhaAcOHNjw10OSpIY4h/p9sLpwPn78ONVqFcuy8Hg8ZLPZTTWKXozNNpzm83kmJiZ++ivsF0OSJJaWlrbqdE2aNGnS5CfMH//xH/PBD36QP/zDP2T//v0X2EI20jx6Lvv37+fMmTMUi8UNDdpbrc5diWA/dys+mawPtlmthpumyW233bZl2+5tbW2cPn0aTdNw2kQEwaJQ1ZhKlonnK1iNvJY651fdD/RHiOcVVvJVppJFKqrO7nYfgUCApcUF8hWZnrALUYBMWcUw62fri3hxyzUcNpFsWSXosjHY5mc+W0HTDURBRFNr/MJ2k10BkydWRJ5aEYg6LN6xw+RUziJTu7yIsQBFM1G0Gg67RMgtc01vkBv6o3io8vTTh7GFu6kkJMKeuqgLhULcdtttPPfcczz55JPs379/jY98dHSUlpaWy3rTU6nUptNhzkUQhIYt5lL30Pbt25mbm2Nubo7e3l5avA68sh2HWUZYXgZfkKF9VzeqtIIgcN211/DYU8/z33ryfCvupTPs586hNvwuGxGvg9l0BdUwEUWYTJRJFudYydfqolsQGF8pUFIN7JJAi9dBj0tjd9Diq7MeyqrBTS0q/627xPPpKo8UJEqqya52H0NtAbxOG9f2hAEL1bAQBItEQWUpr3B0NotugiQKuOw2gh6ZbaKKIgfpivjY3SUT8zlYKSpsb/Xgd63+vUa+qtanBSfK+FwSwx0BFN1c17+eyWQALpg0vxkcDgednZ10dnZiWRYzMzOMjo5SqVR4+umnARr+99bW1g0PzjqXzVpsjh49Snd398u6734cbFqwP/jgg2v+blkW8Xicz372sxw8eHDLLqxJkyZNmvxkWU2Cuf/++9dUp1Zj8jabkd7W1kZ7ezvHjh3jVa961Yaes9GJpwCVSqUh0JPJZKPZra2tjb179+L1eutDZhSlUb3bCrxeL263m2QyiWLVK5V+l0xNNykrDgTBZDpZxiHVmzank2UsS4De+uuvDqxZyFYYS5So1ky+dWyBmzt8OEtx2vwDhDx2Ti2VKCk6EY+d1oATsOgNu9BMi9l0mel0BUsA07Lo8DloE/PsD6tMFG3844KblYpJzVAZywscSVv8wjaTvzwlnl1QXBwBqDWy2+uRgTGfiw6Xzsmjhwl19hPr6Kavf62wczqdHDx4kJMnT/LYY48xNDTEwMAAhUKB+fn5CxLizsc0TVKp1CUTXDZCNBplYWHhkjHOkiSxZ88ejh8/TkdHB3fsiCLkFohQJGtrJejrYqWkET1r5U6XaiwXauzbt48XX3yRn+8uEhvczq1D7bwwnWYpV0EzTdoDDjpDbuL5KqWagWwTiOcVplMldBPcdoHOoA/R0nlVpMLDcTsFFZbyOpNZkSfcAm8cMHnfHoNHlu1YLjuaWe9NAAu/y84tg1FiPgfjiSJz6TLL+RqLuSoRr8xNAxESuRK1uSqn1RbSK2XuGPKg6PXdmVa/g8BZr/tMqsR4oky7X8bjsFNUdBTdvMC/vrrgzC3OIftCZCvalgxLWt0J6e7uZnh4uNH8nUwmWVpa4sSJE43m79X/b6RXIp/PXzTffz1eif51uALBvpoesMrq6vXVr341n/zkJ7fqupo0adKkyU+YRx99dMvPuepj34xgv1jjqaZpawR6pVIhFArR2trKwMDAmji5cznXwrJVtLe3c2ZqjgWpjYhXZlebj11tPuJ5hUPjCQ5NplnKV3DZ7VRUjZ1tfpw2ke+PxBlPlBEw0Q2LnTEvhlmv0H/ztMIb2wxKShqPI0ZZVakZJmG3TKvPwWSizHKxSGfAiSBCPF8lU1boc6ncEVUpaPC3oxKazVVvQLRqmGcL/f82K/J7+wxujlkcWrm8YPc4BDTdwuWQcMkS04sreBIJbOFunlyGTiXNvXvbLxBukiRx1VVXNRZq8XgcwzDo7+9fN7nlXLLZLKIobnon53yi0SjHjx+/bDpQe3s709PTHDt2jHw+T7/fRtm7m73R0AVRlqvWp8GYl9tvvp7jx1+kPHeKY047R+aKTKfLlBSD7pALw7CIZ6oUVJ0Wr4xqGOg6aIAoSuiWyQFfmXhF4NmkBaioZ4PylyoCf31a5NqowM9065hClhMVE8vuIVNWUTQLp10gWVTwOWzEAi62t9bvO1kSqBkWRmGFsuDG5XSimwaHxpPs7w0xGPMynylzZDZL2GNnfKXEmeUiiuphb5ed/hbvupX1eF5hfLkIiWXStlacy8V17V6bxbIslpeXuf7664G6vgyFQoRCIXbs2LEmXvXMmTO88MILBAIBWltbiUajhMPhC6xT/1UaTuEKBLtpXmqYcZMmTZo0+a/CRtNcNsO11167qcbTSCRCsVikWq3icDjIZDINgZ7L5fB6vUSjUYaHh4lEIhsa2NLW1sbo6OhlBdxm8EVinBmf4ETNzk2DMYCG7aUn4mU+o9AX8dIZcgECu9p8jC4XODqXRdFMol4HTlmiv8VNT8TLaDzH0bk8RzJ2dvnTjK+48MgyHUEnWAK6YQEWIuC0S8iiSNCmc1esRlC2eGjJxqziwCaLRFwO8opKplwX7A4JdEPg65Mi79hpcjonXNIaYwKqZqGZoFV0CrkcgzGDJ1acnJ7M4pLtXNVpEu+50Oe8SjQa5Y477uCFF14gnU7j9XqpVquXHLi4Ot305XqYPR4PLpeLdDpNLBa76HH5fB7DMFhaWmJwcJChoaE1r50u1RhZzNMecNIecJI/G2/ptIlEe3eyOHmayZEjnCmG8TvsuOw2lgsKR+aypMr1LYqlXI2wR0K2g4yAgIlTK7DTb/L/vighihJlde3OlWIIPL8Ms2UHd3UL3BRI4w4I9HZ0Ykgyx+aynI4XKSo1JpNl/E4bezoD5Coabak82/UVKs4e3LKdY/M5arqF12ljX3fdylKp6ThsQv3eEgTcsoBp1SNK1/t6tgecVAtZliyTqs0LWBvKV78c2WwWy7Iual2y2WzEYrHG11BRFFKpFIlEgiNHjqCqKpFIpFF9DwQCjRSbzQz2PHz4MG9729uu6D38ONkyD3uTJk2aNPmvSaVSYW5uDlVV1zx+1VVXbfpc+/fv5xvf+MaGjrUsi1qthsvl4umnn6ZSqWCz2YhGo/T19RGNRjc9YRvA5/PhcrlIJBJ0dHRs+vnn8tJQGwtNcjHk0+gKuvjnF+YYT5a5c1crB/ojdIfda8RMulTj5GKeQrUu5KqajstuYzxRJp5X2d7q4epegafOaOwLqnTaa1huL+0BB/OZKsuFeoRezOfEbhncFq3SLSuMFJ18c0pENQV6wx7cDpF8VSNTUtFNMExw2gELxvIih5MWv7Td4LOnJAzr4sJYOVur6/NYvH2HwbdnRZ5L6JjouGWR3rAbp+3izaNQr5gWi0WGhoYoFAo8/PDD9Pb2sm3btnUz0JPJJD09PVfwVbmQaDRKIpFYV7Bns1kmJiZYWVlpVP6LxeIFYv1H40mKVQN6gwx3Bgi46ikqD51aplgzOdDbTrWgsE9OkJGDmJKdkaV8Q6xDffFTVgxk2YbLJhB2Cry+R+XBWZGSIdDuk/E4DZJ5FQTQzfoOh2wDr0vm4SWTlNnCbbLK6NFnML2tqHKYgFuipkusFBTmsybpskZHwMmAVMYW8HPzUB/zmTLTqTKGZWKXhLPTTR3sbPexnFfwOW28Znew4W/PVzUmVoprPOyrolwop+jo6mJba9uGE2Uux/LyMrFY7JJNyOfidDrp6uqiq6sLy7IolUqNxfyZM2cQRRGbzYbH46FarV4yZ3+VQqHA+Pj4f40K+/vf//4NH/upT31qs6dv0qRJkyavEJLJJG9/+9v53ve+t+6/b9bDDnXBPjo6etGJp9VqdY3NRdf1hii/9dZb8fl8L7viCvUq+8rKyrqCfTPVwlVrRKtfpqu7h/zKPAvZCiNLRdJFlXRJXTfuLp5XyFY0DAtU1UB32WkPOrFyCqWaykwaEgUFCzhd8XJtMIMY7qAr5GG4K8hjo8scn6+wy6uw11mhgIsxsZtwh4e7IjqlqoaiG0ynKxSqOoZZ71QVBdAMGpaLf50V+a09Bm8eMPmHSREu4Wfv81q8a8jg3+dEnlwR6xNQgXLN5MmJJHu7A2uG7Zz/GU5OTmK32xkcHGz4lcfHx3n44YdpbW2lt7eX1tZWRFFE0zSy2eyWCafW1tY1KXa6rrO0tMTMzAyFQoGenh7uvPNOXC4XtVqNhx56iEQi0WiKjecVioqOz2XDaRMZWcw3UlSmk1UmEgVmkkV6W/yElSqvCmT5pzkn+VJdrEtnPys7EPM7638WLV7fpTBdkjiSrk+UtYsCAZcTRTWp6SaCYaIbMNwVJOZ38Ph4iscnFV5cdtLtdnJ3RwqPLUnWitAZCNAb9rCUr2JhUlMqxKQSBccOhjsDtAec1HSTYtWgM/SSeB3uCFCu6SzkFPpaPIQ8MiNLeZZzNY6YBkG3DD31avz4SglD14jH49x+++1rmscnLpEosxGWl5cv2WdwKQRBwOfz4fP5GBgYwDRNMpkMzzzzDJIk8dBDD+F2uxvNqy0tLevuxh0+fJiOjo5L7sT8pNi0YD969ChHjhxB1/XGB3vmzBkkSVoz2GArfqA2adKkSZOfHO973/vIZrM888wz3HHHHfzrv/4rKysr/NEf/dEV9yx1dHSwa9cufvjDH/LAAw80JiWu5qGXy2WCwSDRaJTrrruOcDhMuVzmsccew+12b9nvlra2Np5//vlGA+25rIpwuPg0xlVWK4/tASeG4eGp2XHS6Sx7O/14HDZu6F+bJ70qZJ02kVsGWwi57SzlFAZjXtr8TuYyFRw2G4vZKisFhVJNZ1ZxcDU1hGKKmt9NvlJDL+V4XTQLokjR10vedHB6NofdptMTdtMR8iBLApoBGVsN3TDRDAVJFFDUlxJrNFPgC2MS79trcGubxRPL63++54r1QysiduoebKjHPqbLOj86k+Tnru5idLnATKpc98v3hIh4HVSrVc6cOcNNN93U+LyDwSDXX389lUqF2dlZXnzxRUzTpLW1FafTicvl2lBVdCO0tLRQLBaZmJho3G9ut5ve3l5uuummNeLN4XCwa9cuRkZGuP322xFFsW6BiXoAgZWicrZhUybqc+KUBUo1nbHlIhOJIgLws13wQHeVzxQk8qqAXQSXLGFRbwoWRYs7ojV00+K7CzYsy0QDsmUVQRAYavcTL1SJZ6qIdjAtsCwQLAsTKCoq46qA6AhyXSt0kULSyzywt5MfjBeYSpXY26IwU5HxBm2kS/UdmajPQdQnNPorxldKBFx2wh4HR2dzjCzkgXqEqGYaaIZJrlK3/YQ89QZPM79MMBhcI9bPHQbWHnBu2iJTLpcplUpXNNF2PURRRJIkRFHk9ttvb8S6JpNJTp06tebnzKr/XRRFvv/973PXXXdtyTVsNZsW7Pfddx8+n48vfelLjSifbDbL29/+dl71qlfxgQ98YMsvskmTJk2a/OfwxBNP8IlPfILDhw8Tj8f52Mc+1sjK7u3t5e677wbgda973ZrnffzjH9/w8Lz77ruPr3zlK7S2tpLNZhuVr6GhIaLR6AWVL6/Xi8vlIplMbtnU1XA4jGVZZLPZCzyz54rwy3Fu9fzQRJKs6CNgZrlj/841QuUl64xKoqAyGPNycHuUXW1+4nkFRdX5t2OLzGequGWJzpALj0OiUNXxu2y4okGM1Axjs3aM7CK7ZJWRkpdQawc39LUwspClWNPQKhY9YRfX9gaJ+ZzEAk4eG00wlSohCAKSKGKxdmckrwr83ZjEe3YbrFTrVplzOb+y7rbXxaP2ktMDmwBOWeKfX5jjuZkMUa+TG7dFGp/hqVOnaGtrW3cgjtvtZmhoiF27dpHJZFheXmZ2dhZN03jssccag3cCgQAulwuHw3HJhVuyUGUxXcBvM7HUCrlcrpE0NDMzQ09PD0NDQ5fcrenv72dmZoaZmRkGBgaIeB0EXHLDRlJv2Kzw7FSa+VQZzTCoaPUITAH42oTImwdMfnO3wedOS1QsAcM0qKiQUwxe3WHS5Tb51AmJmmliWWAXoaLpCBWBvoiHrqCbTEVF0wzmMmWqqk5n2INgWSiaSbmmkVcMThecHNdbeFVMoyU/wR2tXsSaxU6fzg9zLbTla3zr2AJTyTJht4O7h9vW3Jt1P76KUxbJVVXA4pqeUH0nYSnfSIuJeB1YlsVzJ2bp3z54wWe2es76fa6ROGvbutgAsXMfy60sX7TqfaWca7ERRZG2trZGWsy5O3kvvPACuq7T0tLCN7/5TT760Y9e8Wv29fUxOzt7wePvfve7+Yu/+IsrPi9cgWD/5Cc/yQ9+8IM1uZuhUIg/+qM/4u67724K9iZNmjT5KaZcLrNv3z7e/va388ADDzTSFcLhMMlkkng8ztzcHLfddhvT09N873vf453vfCcPPPDAhl/j/vvv57777uOTn/wk+/fvv2wVVRAE2traWF5e3jLBLopiIy3mfMG+noXlYqRLNUaXCxSqGnPpCmnDT8iYp6YocM45RpeLPHkmSchjZ09nsCFkV1/r344ukCvrdbEedCPb4EB/GJ9TBiw8doFsaoZQcYpZ08OkGcUbdmK3ixSqKm65nkyTKKnsbvdzcHs9QzrkkRlbLmC3S+iV+lTVVZ29mg5vALMlgX+aFvnvO0z+9IRAUqkL2fPF+urzzsfnkmjzOfneyWXyFY2esJtXDdav4YWxOeJLce666841n9v5Am51Eu3q5Njdu3djt9vJ5XIsLi5y+vRpVLVegbbLMoh25LO++UOHDmFZFoqioKoqFmCzy0QjYQKBAJ2dnSQSCXRdZ8eOHZf9uoqiyPDwMIcPH6azsxOHw9EQtvCSyJ1MFpnNVChrLz233g4s8I9TIv9twORduw3+6rREURPQgd1Bk3u6TD5zUqKgCdgBm60+UVawoKBonEnWBypJCAiShGGBZpq0ep0Mdwao6hZj8RyJYj1eMuqVydpbuWb7DryLk9xvpsjpMjVT5GQ8x9HZDJmqxr6uAO2BvjX33mr1/eD2lsZXd/X+dNhEStDoT5icW0LVdHRHcN2v47kWscGYd433/fxdq3Mfy2/h9/Yqy8vLDA5euLCA+rCsnp4eenp6sCyLYrHIc889x9zcXKMocSU8//zza6yCIyMjvOY1r+Hnf/7nr/icq2xasBcKBVZWVtizZ8+axxOJBMVi8WVfUJMmTZo0+clx7733cu+99zb+vri4CMDVV1/N5z73OT7ykY/wL//yL3R0dNDW1sa3vvUt7rjjDgYGBjb8GjfeeGNj2N5Gn9fW1sYLL7ywroXlSmlvb+fkyZMXpIFshnhe4chsjpVCPVbP5/Wgqz7Gp6boaLnmnCMt5rMVRpY0LMtiV9s53t+VIomCwt4uP/t7QyzkqoytFFnJqwy1+ykk4yRnpjFEO6Kg09rZy+u2tzWqn36Xne6wB4cdfnQmxZH5LD6XzGCrl5WiQn+Ll5hHJluqUTPqqesC9YquwEsNpS8kRWIui/fsNvjMSQm/nXXF+rnidJVKzeDkUgHLghaPg6F2P6PLBaYTJRyZcey+ViqGyGqL8MVsR+lSjZPzSUqlEq5AC7GQl87Ozsa/G4ZBrVbj1HyK8XgWlwQCBQYGBpBlGYfDQdUQSVdNOkLuNeeWJInDhw9v+B6KxWKEw2FGR0fZt2/f2XMJHJnJspgts5CrUKioSJIAmnXB8y0Evj4l8pYBk3ftMvg/ZyQ8Notf2WHy1QmRhbKABHhdEoWqgUHd4+62ieTKNcqKiWGB1ynis4koqsl0ukJXyM3rru7E7xI5OpsHoDvkYVurl55YiO7ATp5+OkPELXKPLctTGRdjVQGHTWRb1LNuP8Xqrg9w1iaj1O/NRBksUPT6TaJklgi3ddJx1gN//tfx3N2p86v45/733D+HnTCVTnPNNed+v7w8KpUKxWJxQ150QRDw+/0cP36cV7/61Rsa6nYxzh+29NGPfpRt27ZtSeLWpgX7G97wBt7+9rfzyU9+khtvvBGAZ555ht/5nd/hjW9848u+oCZNmjRp8sohm80C8OEPf5jXvva1fPWrX0WWZb74xS+ysrLCd77zHb70pS9t6pySJPG6172OBx98kFtuuWVDzwmHw5imua6F5Uppa2vj+PHjJJPJK/bOtgecXNsbpFDVGhMjMxk7yenTGMZVjVzoXW1+Wrwyk8kSJxYLHBx8qTHv2ek0R+fz3LI9wnX9EfpLNaI+B2opz+Lpw2i6QaBrkK72NubOjBAV0mxr3U7IIzfsNIfGE8ykKuQrKvNZg3xF5+D2FrIVjYqq4XHa8TntuO0WggiKplPTLMxz3DEW8O9zIg7R5H3DBrLIGrG+esx6VA1YKVS5c6gNn9OGz2nnhydXsEophr0aRXt0TTPixWxHo8sFDo/O0i45SVYMYucN0ZQkCbfbTX9njIWKSLGs4qe++Fq1U4QAR6nG6HIRKLCrzU/E6yAcDjdyuTeS7Z4u1ZCjvcydeoH+/n78fj+FqsrYSpGnJhUyZY2abuBz2DHNGkX1wnOICHxjqm6P+R+7DFw2+KdpkRcz9c9UttUXQauB2W6HSMAlU1LqKTEC4JElbhxoIZ6tEC/WzhbBLaJeF/cMuwh7ZPyu+g5LwCnx2DPHGkOqXjgxhkOY5JaYi7wjRmdrkHSptmExfW1vEBBoDzgpFArkc1l69u686HMvtjt1blX93OMiXgdjY2NEo9Et61eAenV9ozGvqzz44IO8+c1v3rJrUFWVr3zlK7z//e/fkiLDpgX7X//1X/PBD36Qt73tbWhafZlts9l45zvfySc+8YmXfUFNmjRp0uSVw6tf/WoArrnmmsbY8J6eHlpaWvj4xz+Oz+e7omLNfffdx4c+9CE+/vGPb+j4S1lYrhRRFOnu7mZ2dvaKBXvE62jYT1axWr08Gp9mbm6uMZwp4nWwu93PXLbayPBeFU52SQTLqv8XcAo6VmKSYjqF4m6lFmihvzXCYJufntB+HnnkERYXF+nq6mrYaR4fT6PpBttbveipMvOZMotZN11hN7phoOoWTpuNrqiTVKnGQkZHN14Sii8hcDwtcHPMQjHgZHbjQiN1ViR7ZRv5qkapUmO/q0jWHuPmvnCjGfG56TRz6TI9kbWDedKlGjOpMkFBQXQFLtlDsNrkuJgpMZ2+8N/jeYUjM1kQIOCSiXgdSJJEJBIhmUxuSLDH8wqzeZNQtIMTJ05w880343fZqWoaC5kKmmUS8zoxLAtFN9ANnep5wUkGddH+Qkrg+qhFVYcz+Zc+U5H6Isgji3jsIj0RL1VNRzcsBHQkScDnlCkqGna7hNchMZUq8+SZJLlKXYM9sL+L/qiX0eUCpeUZ7DY727ZtQxAEtm0boOYIUEkuIGenqSWKnJIFRElidR7A+SL73D+v9lhAPeXHG4oynVGx2ZU1onsjrLerYlkWc3NzF7g2Xi7Ly8ubmm6ayWQ4dOgQX/7yl7fsGv7t3/6NXC7Hr/zKr2zJ+TYt2N1uN3/5l3/JJz7xCSYnJ7Esi+3bt+PxeLbkgpo0adKkySsLVVWZnp5m27Zta9LA/s//+T/84i/+Ik7n5Zszz+fuu+/mF37hFzhz5syGPMVQr4iPjY2xe/fuTb/exejt7eXRRx+lVqvhcLz8aY1Q32LftWsXx48fp7u7m7xiEM8r+Fx2rukKEfLYSRRqjcE0PqeNiFfGKwucOnWKqakp3KFW5p3bKNVgZ1h+yVPscLBv3z6OHj1GSpfpbgkw3BFgZbBKRdVxy3YWshUKis4zU2n2aRbtARlVN6loGqbloGaYqGetMa6zDaSVs8b2Pq/FO3eZ/OuMQMwN7x02+ItTUsPTfilqGsykioQ9TpbyVQ6EqhQkkZzlYSJRxGkTUXSTh08nOJMosiPqw++yE3ApjSxv07QISQpX7dp9gRA81y8N8Nx0hvlUnhgwlSihUU9zyZZVXpzPEgs46Ay51qSWuP0hkskk27Ztu+z7cdpEBMGivbufqePP1psYfV56Qh5W8jUqqo5NEhBNkCUBh0cmp6hU1LU7EYMBk3fsNPmnKYE+H/zm7vpnmlXrKT69ESc72/y0+ByMJ4pUNZ2oz05ZFdENqOkGY8sFBEFAN0yW8zUMwySeq1FUNTIVlddf08nzo7MM25O0DF7TqOjG8wrHFstghbhqIEYtOUt2/DBpW5SSFLzocKRVGvnqNhVpZYFrbjhITpM21JB9PutV8pPJJIZhbEpcXw5N00ilUuzbt2/Dz/ne977H8PAw3d3dW3Ydf/d3f8e99977smc9rHLFg5Pi8TjxeJxbb70Vl8u1pb7CJk2aNGnyyuCzn/0sb3rTm4B6hO/AwAC/9Vu/Ra1WY2xsjH/8x3+8ovN6vV5e/epX8+1vf3vDYQWtra0cPnyYcrm8ZUUir9dLOBxmfn6e7du3b8k5oW7RGB8fZ2pqCtUTa6SL3DHkwWkTWSnWyFdV0qUaPqedAWcNfeEEmYCfW265BcPmwrFc4Nwq6CoOf4Sq5OHo0Rf5D0cHdw61cXCwlXxV48RCDq/DhiQJ5BSd+XSZnoiTmmGgmxbxvFIf0iSLOCSJgMdOqqhS03V6vBa/vsazbqEadXvMF86IzBRE9Iu+47MNrKZApqzgkwx2+1T+ad6Nw11gLFGhXNNp8ztJFBS8snTWM21xdC7LoZoOWFhqBa9pMFWwiE+kAKthaTm3QgvwnReXmEwUeNc2+MJTUzhlB6/ZEyNZrHFqqcj1/aFGhfjUUp7j83lu6nFjpVKYpnnZAT2KbmJZAhoSQ0NDjIyMENu1H5/LRl+LG5skMJ+uMpkqoRkmIbcdj2zDNA10w0Kz4GCryev7TL4+JXI4JfJs0uItAybv2W3w56fqkY/LhSq9LR500yRdVsmUVXa1B5BrGouZCggCdlHAaRdBqCfE6KaBzQZG1WB0ucCPxiT2SGmOFV0MV17aN1m1bK3eR+E9PRwdncaYHCNi5TDKTkYWL/Scn/v8CZeEvrJIINJGV2uYrsvf/uuyXjV+dnaW7u7uDQ9L2giJRAKv17upnxEPPvgg999//5Zdw+zsLA899BDf/OY3t+ycmxbs6XSaN7/5zTz66KMIgsD4+DgDAwP86q/+KsFg8IqzeZs0adKkySuPmZkZHnvsMe65557GY3fddRdvf/vb2b9//6aqWOdz//3384//+I8bFux2u72RILKRCulG6e3tZXR0tGEj2AoEQWD37t0899xz7L+5Hc4mZqwKFkU3GV8p4TBWqC1NEUNh267d7BzobVzDqtUmXaoxsphfk8RxuhZg0Jojn0rw8KiA225ne8xDW8DJRMJGwCFjt8MN28I4bBIe2UbIJaNoBqWaQdAlE/LIGIaBbpoM+Czeucs4z7Mu8O05iaRi8j92mXxrFg6tXFxY2YBcRcUEfnbQ4GRewpCcCEJd/Nd0g38+vMBSTqHV52B7a73JsarqPDudQRAEdrhKWIKdw2dSxHwuKrrBs9MpNN3iut5wI3kkW1Yp1+r+fICTS0WcDoUbBsJ0BV0ck7JMJYuousF0uspCukRFM8lpXsKSRDabXRMxuV5qzap1KV9VqYpeyppFemkOzZDJl3VafDKCYGFaJoYJJUVDFAUELAQsHug3uTZi8R8JL2nTwmWrUdXr6TFvORv5+OenJDJVk8fHEnSE3AhY2CQJv0uiN+zCLopYloks1Rdh5ZoOloLTbuc1eyIcm82xnK8SVFNUbAKPL4rI4ZcWNetZtqp2PwuOAXb5qsyOHcd0+Ml09SPJTs5fIEa8Dva12jmxUKSte3jNffhyURSF5eVl7rjjjpd9rnPZrB1GVVW+//3v87u/+7tbdg1f+MIXaG1t5Wd/9me37JybFuy//du/jd1uZ25ujqGhocbjb3nLW/jt3/7tpmBv0qRJk59iSqUSExMTjb//7M/+LF6vd80x3d3dZDIZ/viP//hlvdZ9993Hb/7mb5LJZDbsS1+Nd9xKwd7e3s7IyMhFR9dfKdFolFAoRHppjuHzPLphB/jL88SXUuwYHGT79u2NBtVVVkXkfKbMRKLMtb1BDm6P0h5w0t8aZG6pwv5AmgWxhYou4nfZ2dXmx2ETGWyt0BNxc6A/QrZc74a0SwI/Gkvw7HQGwzSRJZGKYdDlMfjlbeeL9Zd4JiGSqAq8Y6dBh9viX2ZETOulhY2NulfbAIJOiXanzvaAxQ8zIXqjbiYTJcIemR+NpZjOlDENC7tN5FS8QFfIQ0nVUHWTrrCTfofBeMFBWqkxkSjilm3MpStkyyqHZzJc1x9mf0+YYk3HEgQksX4dIuCRbaRL9fc6n6mQrqj0hNzIkoTHKeN1WEwmy0QDAZLJJJFI5KKfMdSHGD10Mk6ypBL1ymgVL9eoc8RLMbKKSrJcpaKaeGQ7smRgAaIgEvPBfR01nJLFZ05IyC4Ie2QU3aBW0DER+OcpkTedI9pLmkCmpNIVdtHulxEASRIZiHpw2iTKNQ0QCMa8LOaquGUb+3vCGDr4hBoDrhJfmXVTqGmMLOR4YTqNU7ZdRFxbIIq4WzoZHhzg9OhpshPHyNvCFOwtBFz1Rs3R5Xrqj7Y0xuD27Riifc0Ox2YGI63HzMwMkUjkgp8vLwfTNFlZWWmEomyEJ554Aq/Xu8bu93Kv4Qtf+AL//b//d2y2KzayXMCmz/SDH/yA//iP/6Cra+2myODg4Lph8U2aNGnS5KeHF154YU3F6zOf+Qyf+cxn1vziWd3m/YVf+IWX9VpdXV1cddVVfO973+MXf/EXN/Scjo4OTp48SbVaxeVyXf4JG0CSJPr6+piamtrykeS7d+/mySefZGBgAJfLhWEYTExMMD4+Tnt7Ozdfd+ea93Furnu6pGJZAqJonTVFvySS+6NeIt4+yksa7foKcvvOhnXkQH+E7rCnIaYiXkcjUWY8UcKYzKAaBoWqSofL5N5ug+/Mr41uFKExXkkWYKoo8MnjEr+6y+DdQwZfnqjbOTh7nHX2/w6byBv7YaLmo7vVz5nlIjPpMhOJYr2RUoCgy8Z8tsxAi5uY38F0ooxmmrhtIja9wpGUm/F0At0Q8TpFFNWgolmciucZT5T51tFFruoO4rJLBFz1+7Ij6CLocTCymGe5UGU2VaGsalRqJlGvTKtPpqwZJJZVbFGTfHGOaS0AwPGFLIpmYJkCM6kyMZ8TRTd5cT7L87MZkkWFDr8L3QJvUMSvrjCdkHA7bDhtEjZRwMKG0w7XxJzc4M+zVBH50qREVRAolhUyZQVdB5tYT4YxDYF/nRZ5oN/kt/YYfG3aid0h0xVyIQkis5kqJ5fytHic7Gz3oZkWK3mFhWwFl8PGng43IKBpGne1Vjicd1PQJPxOERB4eHQFt93OtX0hDm5fK6h3tfkJuOTG/dF+8AZmlxK8ePwEPmUCJSuwZLVyZDaHUyvRZhTZfvNNFGp1q81qv8FGpwGvh2EYzMzMbGmUI8DKygo2m23NrKDL8e1vf5v77rtvy3bXHnroIebm5njHO96xJedbZdOCvVwurxu9k0qltqxhp0mTJk2a/GS4/fbbsax6y9xtt93Gm970Jn7zN39zzVTIbDbLa1/7WgKBwMt+vfvvv58HH3xww4Ld5XLR2trK7Owsu3btetmvv0pfXx/j4+MUi8WXlcN8PsFgkLa2NkZHR4nFYoyMjOBwOLj55pvX3VVYk+vulNjZ5me4I4Cim2uG0CQKNQTBourpxlcYp5M0EW836VKNH40nKVYN6A02BuP88wvzjCdLVBQNp11CEGFPi8TN/iKPxG08swIuqT68BwFkO5wtzGNYdRGfVQU+PSLx8/0mv7fP4JszIs8nBer/qwv3flcNwzR5eMGizV8iUaqhG/UJnybgECBb1kmVdJ4gyVJOYSZTwS0L1CoFqjKMJRVUXcCwTETVQhQERMFC1aGi6hQVODyTqfvFzw6pSRQVptJVMqUaoiiiGQaqYaCoZYpVjZWSQlfQjd8h8WJSZchR5ctPTeJy2InnFHojbnZ3BDAtGFnKY1kCdknAKYkomsVUuowowIM5+O1hi8fjFomagSgKhFwylZrKq6IG14WypKUw/3amimqa2AULQxARLBNBAsEE04SaASYC312UeKMMbxuo8c8LIpoB+3r9VFSdRKFG3FDojXgIuWUSeYVESUVWdDwOOz6nyE5bAsVyonsiXOUAl12i1S8DUNFXl1JrWc9L3tvRSsHcz8TMPMtzU7iTS/T72lGTCaKdfXU7mn2tOM9XNeYzZfJV7YI+i8uxtLSEzWa74nSmizE7O0tvb++GxbdlWTz44IN89rOf3bJruPvuuxs/Q7eSTQv2W2+9lb//+7/nD//wD4G6T880TT7xiU9suQ+pSZMmTZr85PjIRz7CPffcw6lTp9B1nU9/+tOcPHmSp59+mscff3xLXuP+++/nU5/6FKqqIsvyhp7T29vLiRMn2Llz55ZVxZxOJ52dnUxNTb0sX/56dHZ28txzzxGPxxtJFBe77vNz3c8XQulSjflMmYqqsTPmw9nqI2gPcfyFpzl5xsd42cFyXkEU4MX5bKPB9dCZFMslhc6gk91dAcKiygFvmpNlL6Nl8DhV7JIAlkBZ0dDOGY50blKhagp8dVJiT8bkLQMmV4fr9o68JuCSLO7tNvnahMhsTqFY1dBNC4fNBpaBhYXPYaOoGGi6RTxXJVVScUgSjqATqVZiogqKJjQq9rphYZcsMFcjEusDnzTDIl5QcIl1YbSQKZGtgCGA2w5Oux10E5ss4rQLBGQ7g61eSorOo6NFUi1gV8vMl2UqqkGqVKM75AJBoCvowinbmM9UkCQRSYCabqJqUETgsbjAmwYMPjcKhgmdHoubu2oYFpyhA7vDg6rPoeoGbllCtizcDhlJECnWNIqK0Xgvgijy7/MCd7cbPNBV5Zmii/29Yfb3hvnuiThV1cBhF6lqBgOtXra1CvhdNmRJIDEzgUO0qPp6uSfm51S8gF0SaQs4Wc4r2AwThyRu2HfeEXQh9PfQ6t1GJj7H2JkxRAQcvsgFx9bPVeTh0wmw4A37uy6o5F8My7KYnJxkYGBgS8NKqtUqiURiU9+/q1a41fjaVzKbbsv9xCc+wec+9znuvfdeVFXld3/3dxkeHuaJJ57gYx/72I/jGps0adKkyU+Am2++mUOHDlGpVNi2bRs/+MEPiMViPP300+zfv39LXuOaa67B7/dvagEQi8WwLItEIrEl17DKwMAA8/PzqOo6E3CugFqtxrFjxzh8+DB+v59wOExPT88lRcpqk+C9ezs4uL1l3amUE4kymZKGU7Yx3BnA5XbT0r+bidFTVAp52gJOLAueHE/z7HQasAh47ciSwHJewagUuM6T5kjezYv5umAVBZBEAVXXQRRQL1MgPJkV+eiLElUDfvdqg/0tJvd0G8yXBU7mBGwCFGsGecWkXNPxOmwEXTI2ScLEwqQeJVmuGQiChV0SaHdonM4K6NTFuUm9Gq1ooPKS9cZtlxCFuk3IYa/LGMMUEcTVXHMBRaun4tRqBoZlYbMJpIo1ptMlijWNsbxAx9lFiqYbLBdqPDuVZipZ4t+OLbKSrzIaz5OraIgimBZogA48viwSlGF/VOD2NpWfjRXJ4+F7iQBVy8Hx+TyaYdanydpEZLuES7ZxcHsLnUEXtrPXKUsQdNsRBJF/mxWZL4vcEshybCZB0C0zEPVyTU+Q3R0Bwl77WTHuYFe7n2xyCb2U4fFsgKVCjVPxApphkq+qqLqBz2kj6HIwulzk0dOJs0OkLk3E62C4M0BrwM2OHTtwOBw43R4WT7/AmTNnMIzzQubPNhJnqxqF6sa/ZzKZDOVyeUsjFIHGPIXNWOW+/e1v85rXvGbL7HU/TjZdYd+9ezfHjx/nr/7qr5AkiXK5zBvf+Ebe85730N7e/uO4xiZNmjRp8hNi7969m55kuhkEQeBNb3oTX/nKV3jNa16zoeeIokhPTw+zs7Nb6jkPBoOEQiEmJyfXhCpsFtM0mZ6eZnR0lJaWFm6//XZsNhsPP/wwKysrL+uaz43pc9rq1dN8VSNRtWMPd+HKziD7d2O3CUBdCO9q8/Mze9v57oklVpJpXtuq8KOEgxRuBKsuwjTNAEtAN8E0LQJOgbxycdVuAyq6wFcmJIZDJv9twMRjh3+YFAABzaIxRdWwQNF1VN1CNUA/57S6Vc+Bly2DNpfJaG5t463PJVJVTbSzeZIGkFUMZFu9KdN+tum0ohlopoAJaOpqff7stVZ1JFHhdDyHZtSbb8/kBO7rNfnOooJp1nPp02WNdFnl5FKRF2Yy2ASBoqJTUgwUo24LEqjbhkbzAq/v0UkqAo9lw1iyE8WocHQ+w0y6QlExsYtQVjRcDntDTL9qRxTVMFnIVjAMSBVVdMNCFEW+syDyhj6THaUZRuYcPHo6jSwL7Gj1cnQ2z0pBodXv5HVijZie4oVaBMEm45IlNMMknq9SVes+81sGowRcMs9Npzg6n0Wz9E3ZVsbHx3HIMrfffjuZTIYTJ04wOzvLnj17aG9vr88aaPNz40CEhZyC37XxiaJjY2P09fVtagrp5VgdwLR3795NPefLX/4yH/rQh7bsOn6cbEqwa5rG3Xffzec+9zn+4A/+4Md1TU2aNGnS5CdIoVDY0HEbmRa5EX71V3+VAwcO8OlPf5pgMLih5/T09PDwww+jKMoVDW66GENDQzz11FP09/df0XlXVlYYGRlBEASuv/76NR7d4eFhjh07xqtf/eorEiuriSarzaUji/mz+e4yrX6ZmVoQjTyehTM4WgbZ3RGgM+Qm4nXgd8l0u+G2nhpPpZ0sGB4CDomVQo1SVUXRQbZ0ZEkAAVx2O21+GzOpCpq5diKqjbXO6JGswGIFZBHe0GdybYvFv8+JLJTrYtppA0Go+8r1ddYAqbJGv1tlpQoFTUDkpdfLVOrCV+Ila44JmDrITgvtrFfYYL2prfXnWabJck5pTCHVdIs5BCJOcFo62lnhr9R0JEmkpuukUwoOu4gsCShnnydgcV2rwKvbDRwSZGtwMguHkiVCHpV8RcPCoqSYmIBuQqlmoRoqAafMsYU88bzCzpiPck0nV6lbhlQDBMPC75Q4rQQYsGtY8VFMw0uyJJLMV1ku1gALn2jDmZ+hc2AHUVcYEIj5HIws5SlUdSxTpzPobtwjL85nUTSTpVz93tmIYM/n84yPj3PLLbcgCAKRSITbbruNubk5jh8/zvT0NMPDw0QCAe4Zbl8zzOpyJJNJstks11133YaO3yiJRALLsja1GD506BDLy8s88MADW3otPy42JdjtdnvjB1GTJk2aNPmvSTAYvOTP+dVBeRdukV8Zw8PD7Nu3j69+9au85z3v2dBzPB4P0WiU2dlZdu7cuSXXARAOh2ltbWVsbGxTXthiscjIyAjZbJZdu3bR19d3wTCYnp4elpaWGBkZuaJ0jHhe4ehclgmnjVcNRtdMjhxdLrKQVQh6OwirCzhK8/T27WJXW31RpVUKDApx7C097Ap7yUykWchVqGg6dptAzbDQdLCJArphNawVDlnCUIyGGJaoV72z1fojMrAzaNHlgT86KiEIcGeHyXv3GIxkBR5aFBFkJ5IoohlV9LPOiXN1uwn0eE3G8i9511exgLNFYxxi3TMuivW0lZpqoWuX9u6YQEW11gx8MoGaJjBXggG/xalC/ZxLRYXhjgAht518VUfVTcS65GdnoO7Pjzrh4UWR8YpMj0/i9Z1lnkvozKUNZFs9g90ugd8uYJgWBbVekddNA8uA6bRBUdEIuR10h9xUNYPReBHDBKddxGm38Z152OsWuT2Y45/n3ajYiHod9IdlbvCkKYkBUvjIpMqEPTIxnwOHTaQj6KQ77OFAf7ghzG/oj2BZEPHKGxLVpmly9OhRtm3btmbxLAgCvb29dHR0cObMGZ544gl6enrYtWsXw50baz63LItTp04xODi44X6VjTIzM0NPT8+mBjB9/vOf55d+6Zd+KuwwcAWWmF/+5V/m7/7u7/joRz/647ieJk2aNGnyE+bRRx9t/NmyLH7mZ36Gv/3bv6Wzs/PH9pq/9mu/xqc//Wne/e53b7go1N/fz7FjxxgcHNzSSYlDQ0M89thjbNu27bIZ0ZqmMTY2xvT0NL29vezfv/+iYkQQBK6++moeeeQROjo6Nm2NUVSdseUCYY/M9lYfw52BhjBbzCxzJlFgT6efUN9ukhMvkpoZw4pdz/GJBXIzJ7FHutk1uI3cVJqyppOtaGBZDER9xHNVaqaJTRAQdDAME92sT9UUJRCNuni2S3VRv4ohWPxcn8l350WqRv3xb89JPLFscXdnfUpqvFrlZEnm6aKFiMB6y7ydQYtvTotrxHo9oPClyvrZVEEkE7BAs+rJNpfCggums5pnzzWWE9gRtJhV6v7+mmbiddrwOe0YZhU7Frv9Gq/aaeK1w5Nxka+kRVRLxDIN0mWd7W6Be7tN/nGq3gha0Sx086yP/ux2gmZBWTXwyBICFrmKils2CTjd9Ec8LGYrqKZF0GWnqpvkFY3vZG3cFTN4S6/CnK2Lq3vDiMkzYA9ghvt4birDyFKe3oiHdElldLmIz2Hj5u3uRjLQauX7bTf1XebOeokzZ85gWdZFF8F2u509e/bQ29vLyZMnefjhh9m5cyf9/f2X/R6Mx+NUq1UGBgY2fD0boVwuk0gkuOqqqzb8nGw2yz/90z/x7LPPbum1/DjZtGBXVZW//du/5Yc//CHXXXfdBaNfP/WpT23ZxTVp0qRJk/98brvttjV/lySJG2+8cct/0Z7LW97yFt73vvfx/PPPc+DAgQ09JxaLYbPZWFpaumA2yMvB5/PR1dXF6OjoRbfuLctidnaW06dPEwgEuO222zZkEXK5XFdsjVnI1T3Kdr+4plqaLtWYTpdZydcoVDMEnTJVRzex6hxHDj9PpZBj1gzT62lB0U0sS2Bfd4B8RUXVLFq8DuySSE036Q46mUxXqKoGy/kqmgkeGwQ8NnTTQDfAtKyGbeXWNgvNhKdX1i6y8qrAP01LfGfe4qZWi1e1KdwShmcTAs8lRRLKS8eHHRZhGSYLa88hCWfz4M8rohtnH5ME1hX/63GuzYazfx7LixxsMxjTXUwslyirBs9Pp5CNCj8/ULf2JKvwyJLIkZSAbtXtOpJgslrY/7dpkQ9dY9DjMZkqCNTOPq4aZmNnQADskkjE6yBbUSlU6774TEXDMEwEQcBhF0hVNAwEPLJERbPxRFqkNyJwrT2BI5vFE/AT6t7J90+tsFyoAhBy20iUqiSKVQxD5tRSjnxVAywShfp2xvkpQxcbeJTP55mYmOCWW24hW9EuORjJ6/Vyww03kEgkOHHiBDMzMwwPD190EWqaJqdOnWLXrl1bOkwIYGpqivb29k1Vyr/61a+yb9++TXnef9Js+lMbGRlpTIM6c+bMmn9rWmWaNGnSpMmV4PF4eOtb38rnP//5DQt2QRAYGBhgcnJySwU7wK5du3j44YfJ5XIX+OpTqRQnTpzAMAyuvvpq2traNvX7b9Uac+LEiU1NVxzuCDT+e66IiucV7JKIXRKoqAbjK0WCHgdhXzvV/Axuj4/ecG/d7uGRybe6EUWLap9JpqzSF3FzZqVEwA1RvwuPU2YxWyFdrlHVTZyyRMTrIFlQUDQDzbRwyyI20+C1XSZ/NyZisv77r+gCDy8JPL0icHVMYrdX4/+zzyCl1L3vI1mRdpfJdAlq5tpzXMbtgmFdXsRI1NNY1HWU/Vyp7ru3axU6HBpD7RbDoSKyCEdSAp8/LTFZFC6w75z7QF4T+OGCyOt6Df7f4xJQF/Ui9YVOvR/Ahm5ZmFhIZ6vQboeEadWz5QXLwi7ZUVSDoqDRGfKjmxYiIkIwilWcoFSqIca289iLi4wvl1E0vZ4GJMDIQhHdMEmj8W9HluiJeBju9BPxyuSrKulSrVF1//5InIVMlVt2RNfEMJqmyZEjR9i+fTuGzXVBlv/FaG1t5Y477mBmZobDhw/j9QfxtvfTGwuved7c3BxQv/e3Ek3TmJub46abbtrwcyzL4vOf/zzvfe97t/RaftxsWLBPTU3R39+/Zqu0SZMmTZo02Sp+7dd+jdtuu41PfepTGx5e1N3dzenTp8lkMusOIrpSXC4X/f39nD59uiEGKpUKJ0+eJJFIsGPHDgYGBpCky3gy1uFca8zy8jJtbW0bet72mI/tsZc+l9WpqIvZKsWqTsAlIwkCrX4nbquGpzjPrqEhFhYWiNaWqKpeQp66XefEQp5USWF3R4CY3wmCgCBY+J0yBUUF3OQVjeWcgsMuUVF1NKNeMtZ0EGwmb+y3OJMXGC9c2gohAt1hD/MVg6eWTBySxa6AxXDI4ld31hs4V6pwQ9RkviywXAXTenkFQBEIuiSCHplUSaF6TpneLlp0uWFnSMBA4I1dVXI1OJkV+MqEyGRBwLjE659bqReAZxICN8bgxlaLpxPC2WMEvE4Jy4JMWccEXDaD1oATuyRyfX+IvoiXQxNJREQ6Qk4SBQWP00Z/i5vBVi+VqoIzN4XD70cWJZITI2hWO7GAA92QsYkihg6qbuKRJVTNIFNRMTGxsAh77HQE3QRcMhGvozHpdmqlRK5ao1BVOdBfz1g/fHwEVTUQA+38aDzJcl7B57Q1BD9w0Yq7KIoMDAzQ2dnJY88eIz3yPKl4O3fccDV2ux1d1xkbG2N4eHhLrWtQXwh4vd5Nfe8///zzTE9P85a3vGVLr+XHzYYF++DgIPF4vNHx/pa3vIXPfOYzWz7GuUmTJk2avPL4z9hB3b9/P0NDQ3zpS1/iN37jNzb0HLvdTk9PD1NTU1sq2KH+e++HP/why8vLZLNZJicn6ezs5M4773zZyTQul4u9e/fy4osvEg6HL+p7P9/CcO7fG1NR8wqKYeB12uiJuDjQ4SAzM0H/4E527BjE39LOM888TTx3DGt4HyCQr2qUFIOlXJWukItbBluI+ZwousmppRyFaoHesIuSolOPkBSQRIFCVa9Xd10WV4VNPnX88gsWEziTrDQ86TVD4MWMwIsZEDH5k+tN4hWBA60mb/SAKMBSGRbKAvNlgWwNCqpAWatnoVf19e9FEXBKYLOBxy7hlUVMtUKX0yIShG6PRbfXos0FZR2WygLxiohdMPnrURHTFBpJMutRD8pc+3o2CSxB4NuzIm8aMDmeFupvAItcRW/YYgBUXceyLCRBpKoahD0y/+36HsZWisiSwPZWH16HjYhXxmOzSE3OklQEnsjL9Ld46XXpXKWvsH3PtWTU+hU5JIGHR1eYz1bPinQZj8NGqqRQVnS6Qu41zcntfgcnl/KcjheRRJHusIdapUg5ucgpo4PcTJZSrb44C3scJAoqAZcCwPhKCeACwX7uPWmGujmVtrG3nOehhx5iaGgIVVVxOBx0dHRc9l7ZDJZlMT09vemJx5/97Gf5pV/6pQss3a90NizYzx+z+t3vfpePfOQjW35BTZo0adLkJ8sb3/jGNX9XFIV3vetdF/yC++Y3v7nlr/3e976X//2//zfvfve7N1yNGxgY4JFHHqFSqeB2u7fsWux2O62trTz33HMEg0EOHjxIKBTasvN3d3eztLTE0aNHOXDgwLqLonheWSOUzv37S1NRdcAiXVIR1QqZmZMM79lDf38/AJOZGuNWB9uIszx2DD0ywI6Yl6KiY5qwUlDZ3RFsVO/zVY2VvMpipsxKsYahm3RF3LT7XUTcBqWazr2xIoeWBTKqgMBZr/kl3qvFS5NKZbEeeWgAHZ76e/7aRF3OW1hEndDttej2WOxvsQjJFj57PR5SNyGvQkmv/3mVd+0yEACnTcBjs/DYdSQByhoUNMjUBObLcGJOZL4skDsreDtcFr+916Kms27k5Pnvof6sOn6nQNDtQFENxgoqyxWBB7aLTKhBzqwUqGhrP5FyzSRVVFB1k6cmahyZy9EZcFHT61201/WFuWEgglIqYWQn8flDPJSVmMtWSZZ0+q/vpUtIsXjmRQ4ePNjwbNcMkycnUgSddlTdYGylSNDtwue0E/bIxPMK2bKKopuEPDIxvxOfQ+KqzgDZUpXSzGk0Tys23UvEK+N12ljOK2TKNfpavA3Bn69qayw259+j+apKpqxic7qxtbcRFquMjo1RUxT27Nmz5Yv+5eVldF3f1EJgeXmZb3zjG7z44otbei3/GWyt879JkyZNmvzUEwisjWl729ve9p/22m9+85v5nd/5Hb7//e/zMz/zMxt6jsfjoaOjg9HR0U15wi9FNpvlxIkTVCoVJEli27ZtWyrWob5rce211/LoY4/zo+dfZM/uoQuql+dWR8//7+pU1FWmF5cZOTpC//adDbFex8LpdNDafRVqYobi/Encji4O7O5gtW68et6JlSLPTaVIFBR000LTTUwTDNOkqhlUVJPtXo2wbPHX8xKiCBG3hMchs5yvNpJcLsZqQot09pV3BiwmCkLDA++UBBIKJBSBw6n6cwJOkbxiIosWARn8dvDaLSQBHJLFNr/F4aRA2RCwLMipInm1LtTXs7asPiKLkNGgYkCfr34d5+MUQTFfqq5LgCSCZtYHPjnsErpp4rBJ/HBZ5H8MaiylNGSbhF00GosKgfoCw7QEZJtEtaqiVgxsgoBhmeiGxWKuilFMIyRnINyJq62bq8w8Mb8Tv8uOwy7R3TcEnObQoUPsvvp6MjWI+Zz87N4OFFXnrx6bYDJZpifs5hdu6MXvsjG+UkIQLIqKTjxfoTvo5pYdUfxOG5Mnj+JxOLlm127keIHBVh8hj1y3xeRqJIsKu9rqC7lkUaFYNRoWm9XKutMmMhjzkq9qmBbsbPMRcDtYKkAo0IJNyjI6Oko2m2XPnj1bsqi2rP8/e3ceH1ddL/7/dWbfJ3smSbPvTdI2Xene0soiUBAEFGQXUGRTBFFBARUUr1z4yVWuXgQVXO5XBBG9bIXudE23LF3SpkmbfZ0ls8+c3x/TGZombZM2aVL6eT4eedCcOcvnnDml7/M578/7I1NXVzfiClEvvfQSS5cuHdVSsGfLsAN2SZIGPR2JQaaCIAifPa+88sq4HVuj0fD1r3+dF154YdgBO0QGiX700UcUFBSc0YROHo+Huro6WlpaKCgooKCggMOHD1NXVxerSjOaNBoNyXllNNVWsV9vhNysWBDkDYbRqT4NRk5W4aOnp4faHdsG9KxHRWuxOzwBZEsmWtTYeppIkM2UFg6s/FPdYmfDwS66XH6UEhh1ShQylKZZCIShvdfN3AQv7x5W4AtL6I/muQRCYaIv4o+vyDIUiUj6SrFVZlfPp7GEd4hu+rAso5LAH5bo9EKnN7qHSMD+pfwQdXYFvb5P67hLRIJrtTR48KpBFWlfKAyEI7Oellhl6oeYL8x79ESiu1ArQJIipSLDsky3y4vHH0KrVNDWD1u7FRRr7WwNaFAAehVoVJEBwZ5AGLNWxfyCJA519xMIhpGBFrsHiRClOgeh7g46dZPw+kxMl6BiUhwVk6yARIfDR5vDx7Rp09ixYwc7tm7Cl1BISkKk9Oi6/Z10uHy4AwFc/iA9/T4sejU6deQdSL8UxKLTYLPqKLGZadi/Bw1BpkybRWd/CFmWaHd68QbDRwc4248G+ZGUGKc3iFmvij3cRXvWC1NNlGdY6Xb5sOrVsc8NUoAjta0sWBB5G1BbWxv7O1pQUHBGf5cOHz5MKBQiJydn2Nv4fD5+/etfj+nMzWNpRCkxt956K1pt5H8SZ/MVqSAIgnD+uPvuu3n66aepq6ujtLR0WNsYjUays7Opq6tjzpw5Iz5mKBTiwIED7Nu3D5vNxoUXXhjrCczJyYkF7WNRBi7blkjAV0pHQx0+VGxs9oIskx5nwKxT4fQGqdepSDZrOdjZH5s4KRq09/T08MknnzB58uRBwXo0yAeJ+o5+kGFpaT4pRZPYunUrYb+HyZMn09Pvp9XuZVKcnvwkE+19XXR7/MQZtMzOTYjlWnc1H8IXVlDrUKBVySBJhMPgCvgx6FSkaBUogE6XH8/xBdCPIQMalUyeRebNBsVJg3ynT45Uc5EjOePH5plrjz7PSJKEUoJwpEmxqF2vUaIOhXAf0xZPMDLxUigMfmCvXWJxWph3Dp/6uwpztNykBGqlEo8/RH8AQnIYtVLio2aJb5aHKTAH2e2TCIWPlqCUQa1SEJRletx+ClLMaNQSaoWCmiO9TNH3kKKViMubQpJWD0iU2MzsaXNQ1dhHQYqRwtRIeookSQStmbQ19WJpq8OuLuNAjx+PP0xOggGzRk2iSY1aqeBgp4s+t584vZa8FFMsoO7vaaejtZlFixZhMplQqSIDS+2eQCwIX1iYPHAW06z4AQ+Lx7/1STRpY5/JskxtSz3Z2VmxN1PTp08nNzeX3bt309jYSFlZGRkZGSPu/A2FQuzZs4fS0tIRDfr+61//Snx8PBdddNGIjjdRDDtgv+WWWwb8fjZfkQqCIAjnj9TUVL70pS/x//1//x+//vWvh71dcXExH3zwAd3d3SQmJg5rG1mWaW1tpaamBrVazdy5cwdtK0kSlZWVrF69mvT09GHve7gSTVoSy/LZrwmzZ98ePH4bSGrMOhXl6VaqW+w4PSGSzVIkgPeEYtPMnyxYh097QVMsGqZnxwHS0aDLyqJFi9i0aRMOhwNDeiEHu32kWLTkJhnZcKAbSVKSaNSwrDSV3GQT6WYlWzqcVHkSSTD56Ov3gySjUihQK5UYtUrSrDoOdvYDYFSDTq3CGwjiC0SCZIUiEjDLQLpOxhWANu/AwZxwdEAnkYAaPp3tNJoWrpFAq5FI0KuAEAatipAUxuMPR2YWBZCh3xdiSoaZw70eetxBZCJBtyRFctAd3kilmxsLwKCScZ9gQGuMfLRvXwavPxSrES/JoFUqMOh07HaG+PwkD7u6Im8h/L4wBo0SjRK8vhB72pz0uQOoVQqm2bRclNSHK6iiOpiMo8vPhSXxx1QDkkAGi14Tm1G02+XjHztb2Nak5LJ0Ndlte8i3FZNgVDM5zcyuZjtmnYqMeD3VR+zsbXNSkaGgxGaO3TO7du1i9uzZ+FCzs76T6ANCmlUXC+qPDcCj9+mg+/YEJR8PHjyI1+sdVG4xPj6ehQsXcuTIEWpqamhoaKC8vHxE6WaHDh1CrVaPqJSrLMu88MIL3H///aNeqeZsGXbAPp6vSAVBEITzywMPPMCCBQv48Y9/POwAWavVUlBQQG1tLQsWLDhlz53D4WD37t04nU5KS0vJyso64TZms5mSkhK2b9/OkiVLRj01BqCgoIDO7l5mOXqx5pRTerTeevzRgYNpR1MZon8+VbAOg3Pej2UymVi0aBFVVVUcqdmCz5BOtcNAQ5ebOL2aRKOGC/ISqe/ox6JXE2g7gF0ycqhfiUmnxKDW4/SGUKskdColJr2S1j4vvmCQsAz+IARCQQgfnXE0DAoZ4vWRGuTF1hB77RLyMTXcTRrw+SPVYALHtFXJwEGtfhlUYRlJigRfySYt7l4fSimMLEXyy0NEAvN+fxC9WoFaAlkCJDDrVCQaNfhCblwBiXYPFFtktvec/J4xaJXEGzUEgpEedX8oTLfTjwwEQjLeYJCNHQpysmFuiszqNokwYNIpsJn1hOQwCUYdRSkGNJ5u0r2t7HHp2NitJSQ72dzkoLXPw73Likg0aUk1a8lM1JNqHjjIM8GooTzdQkp2AslSFz3t+zAcTY/JSDAQDcCrj/TR4/bT749MhNTR6+TA7i1k5RWSkpJCdbOdqsY+kMGqVw+YPfd0uVwu6urquOCCC4b8eyJJEpmZmaSlpbF//37Wr19PRkYGpaWlp6y+FAgE2LdvH5WVlSPqmV+3bh0HDhzg5ptvHvH5TBRi0KkgCIIw4VRWVrJw4UJ+9rOf8eyzzw57u/z8fBoaGmhvbz9hfXOfz8eePXtoamoiLy+P2bNnD2vG0fz8fFpbW8csNUaSJObMmsG6desw9jeTYIwMKB2qp3M4wfpQ2x5PrVYze/ZsPtpWh/fIATSSgURDCtlJRrSqSHDqC8gE3E76ejr5sM1Kj9dHvE5DUoKG3n4/YWSSLTpajpYWDMsy4WNyv8McE2zLREoamrSUxAf4qFlCRSSw1qok9GolWhV0H+0Nj1IqQApHes41gKSAUIhYbfjmPg+egIw/FElXSTKq0KqUKBWREpadrkgtdC2gVkl4/EE6w5HceLUC9vVJFFpltvdEjqc6ekx/+NPefw1g1ChRKCRm5SQwtyCJ/R1O3qo6THd/iEAojNMXRqWAdxQSX84Ns7VLIiBLZMbr8QdknJ4Q5akyFeoOPGEfbzTp2d0ZQsaNWatGp1bS1e9nc0M3vmCYnn4fBzvcaFXKWK97mlXHnLwkQKbEZiHBmMWmrVX0dO8nN28OWp0ulneelWgir8eLUaNm+6EetD37kDQmJEtqbF/Hvnk5U7Iss337drKyskhKSgI+nS/A4Qlg0WtiPf0qlYrS0lKys7Opqalh5cqVp5zfoL6+HrPZPKKS4rIs8/jjj3PfffdhMpnO+BzHiwjYBUEQhAnpmWeeYf78+dx///3Dfv2tVqspKiqitraW1NTUAb1w4XCYhoYG9u7dS2JiIkuXLh3RP+DR1JhVq1aNSWoMQJ8niDWrlJY9VZgPHKCgoGDQOj09PWzY8AnxGblYkocuaXeyAarHkySJbtnEqt4kFiT1M5kjZKan0+jWkJlgwKxTYz+4k5AphZQ4DRlKCa1ajdcfICTL6LVKXJ4g7U4fHn+IsBxJf1GpJBQKBaFgCO8xZRM9IXD2e0nVy+zti/SQW/RK0uL0hMIyXn8ItUKizxOIDUINhSOBuEktYdapkQgjo8CokWLnoFNJ6DSgU6kwapQ4vEHMagW+oBzLjzfplciyTI9HxhMIYdQqsBoUHHSGuSI7spZGcbT9SgVJWjVObwCvP4xOo8DtD+Lyh6hptTO3IBEZGX9IRsHRNBwiQf4hp4rG/gArssOs79YTCkk09TiZkxJmptaJPZTA/nAiXYE+DBofCoWSjHgdmfEGMhP1HO5x09jtwen10+rwolbC7NyE2AOYVR9JdbLqI6lRc2ZOZ80nW9i86RM06aX45Eh4V5hiwhcMkWHV0XygloAkoU7OJj0uUhLy+EpDZ+rgwYP4fD4mT54cWxabL8DhJdUcSbk59p40GAzMmjUrNoNwNL/9+BmEvV4vBw4cYN68eSPqXX/33Xeprq7m7bffHp2THCciYBcEQRAmpMrKSq688kqeeOIJ/ud//mfY2+Xk5HDw4EGOHDlCZmYmAB0dHezevRuAmTNnxiYBHCmTyTRqqTFDBdWtdi8NvQEy88vYu3cXarWa7Ozs2DbRnvX4jFw6ZCvWo7nsxzu+fvtQ6tudVLfYKU+3Rqq8qDXISTZyk2T276klW2nC2a/B3tmG1u8nFJ9Kss9NskmLRqWkvqMfCQ+hEFh0CrQqJQqFjFmnwRMI4AmECIQivefRSZOiFVzKEmXaPdAfigwWjTdEel773AEO9bhRhGQmJRjwB0P0eYJ4fZF88VBIJhgKo1YqyYjTYlQpgH70GiVmlQpkmJRooKHThcPtxxEZv4teCRq1gmSzlnAY3D43AJIso1Er6QxoiNN4yTDIGM1G3L5QrL58mMgfwoBWKSEhoUBie2Mfnxzspv9oKRmLFly+ozXnw2H+2aTgwbIQBzwyRk2YO4tDGFUyW91JdAc0OL1u4vVaytLNKBUKVAoFwbBMjzPIpEwjKRYdh3v66XL68QTCsXELMHjAZ0+/n11uK2qvk9TmWnLLpscm15LD4GprQC/7yCmvJDPJcsZpL0M5USrMp/MFRHrYT9STn5SUxJIlS2hsbGTHjh1YrVbKy8tjVZ/27dtHcnLyiCZIC4fDfPe73+X73//+GVWPmghEwC6cF+54dcuIt3n51llj0BJBEEbiRz/6ERUVFTz00EPDrhijVCopKSmhrq4Oq9VKbW0tPT09FBdH6pOf6aCz0UqNGSqoPjYQy0mYw8aNG1EoFGRmZg5Ig7Ekp2M9toLHcY4P6IayqaGblXs62Xigi1SLjsIUAwkmHY1emR3BdDIDXVjbalFJMg59OtWNvbT1+chOMjC/IAlJAqteid0dxGJUUZJmxe0PcqCjny6Xjz5PgB6XFy8KTLrIpEgqRaQOeVmCnxavEpMWEk160uL0HOnxIssQp1Xh8YZxegKYdCqKU010ufz0uLwEw+DyBUEOEgyHmBR39Pxk6HP70ahUtPa68frDKBSRqjFKCSYlGkkwaujzBClMMZCbZGRfhxOnL4xZoySkVtLk8lIcD5LJgMMb4FBnPyFZxh+I7MuoUWDSaUg16yhJM9Nm99Dj9sV61r2ByJsCSY7kyPvDMjt6vKxI96JXejjg0VHlsGAyaun1ePD4QpSmm7mwJJXGbjftdg/eQBiVUkFGvJ4Sm4X/2x2kyGaiMNWMTqWgutk+5IDQVrsXtUpJwDoJk6aXlr070Soraerz4+loQBF2MXPOXDKS4k7rXj3VG5toKkx2dnYsFSZqqF78E+1PkiRycnLIyMhg7969rF69muzsbLKysmhsbGTx4sUjavef//xnent7+frXvz6i7SYiEbALgiAIE1ZBQQG33XYbjz32GG+88cawt0tNTaW6uppVq1aRnZ3NsmXLYmWJz9SxqTFpaWmDApThGiqoHhCImbTMnj2bzZs343a7qa+vH5CzfrJe0lPlrgOolRJeX5A6p4ddzXYKkk0km/UoJNDpdNgVmRiCrehD/Vh8HcSFzMhWI/MLIud7pNeDWgW+UJCDnT4uq0gj2aSluc9DnFFNikWL3aLD6Q2gVSnQayJlENscbjINQd48pESS1CQY1WQn6tlQ340/JFOYbCTZqqOuxYnbH0SnVpIWpwNZxu4OEEbGFwjj9oUJHM2zUauUKEMy4XCYQEhBqlVHZVYcLXYPff0ByjOsqBUKHM12/EGZBKMGpUKJRhEi1aLHHwxzwKkg1xTmvXYXgXAIdyCIRiVh1CkJhWVkOdJ7Xmwzs2xyKr9ffwiDRoUc9uPyA3KkB35SvIFpkyxovV3kaWQUkkyt28z7h2WQ3cwwaClINtHt9FOYYibZpKW+w4UnKBMMyZRPMlJis7CnzUlzr4f0OD05SUb2d7iob3cxPSee+QWDJ9haUJhMmlVHS18qB/bUsHfXVlySEW3AQbMhl3yfRMZIbtCjul0+1u7vxOkJQXbckPfVgQMH8Pl8w36oPtUbILVaTXl5eSy/fc2aNcTFxY0ohc3v9/P444/z5JNPnnIw67lABOyCIAjChPaDH/yAgoICNm3adMoa67Is09TURF1dHTqdDlmWmTx58rAGlY6EyWSitLSU7du3s3Tp0hGlxhzbuxgt1XciKSkplJSUUFNTQ1ZW1kkHmI5URryRqZlxHOx00dDdz5EeDxnxbpaVpDI1M56m9m58h11YcytQBL0UHj6IjItwv45+hZF9rU784RASEp5giF1H+ojTq+ntDxBvVJNuNeDw+unz+HH7Q2iUCrqcfpRBPyYV9AQ1ZMRpyUo00mb3IssSbp+fw31eSmwmilLNdDq9JFv0eP1B3P4wkkJCr1KiVcmoVQpsVg0AFelmmh0B9Fol2fEGMhONaFUKtjZ0s81t50CHi8kZViw6NV0uH4d6+iO53XEG4g0aDnY66fVIzEsN4270EQhL6FQqMhIMGDVKGrv7cflCGMNh+tw+Nh/sJjtRTygcpqG7H6UrQDgcQpZlcnUeJmOnTyHx5hEdKXqYGd+PQtYhqVTo1ArijFp0agUtfR563X7USgWhcAiTTk1OkvFoEOvAoFVh1KrocPjZdqiLqsN9NHY7AWKDN2HwA5pcPJmWPduQ3L2o0kuYmpB42oNKW+3e2KRJx/fyAzidTvbs2cPcuXOH/fdgOG+AIFKdqbS0lI6ODnw+H6tWraK8vHxYKW2/+c1vMBgM3HTTTcNq00QnAnZBEARhQrPZbDz44IM8+uijfPTRRycccNbd3c3u3bsJBAJMnTqV1NRUNmzYQH19/bB7/kYiLy+P1tZWdu7cyfTp04c9EG44+eVRPT097N27NzZ5U1JSUiwv/0x0uyIT5SwoSmJZaQr/2t3CriN2qpvtJJu0JJi0BNoO0SebCPgUaFRmtvjSULq7qQzXE5A06NHiDmmwWXT0uSUOtPeTbNWiUSmYnG4hEJSpaXHj8oXwBkPYLDqC4RA5ZpkWr5KpWYlUZsdxsLOfrhBYDCqcPh8ddg82i45Lym1olBK97gD7O5x0OL34gmECwTAajYJ4gwatKlJNRKdRkmhUUJxm5oY52azd38mWhl50aiVxOjUKScIfDJGVZKCpy01jjwtfMIxRo6TX7aerP4DHq0AphUjTQ7NHwmbVkmzSYovT0e3yEwyF0aqVbGvqY2eznTk5CczOTSAzwcCWg52kqcMsTPWjVCrp1KRS1SfT6nOxt9dPsUlmSTq4dHEU2iz0e0PE6VTs73TR5fKTYtYSCMr0BHw097rpdvmOzlAr4fD4sejVtDt9tPZ58QZC6DRqQB4y1aSlz4OvqwkpHCItLY3eviaMyXHDvi+OT1VJs+pikyYdf+8Gg0G2bt1KTk7OiAZhD+cNEEQewGtqasjLy2Py5Mk0NDSwZcsWkpKSKCsrO2GPu8vl4kc/+hG//e1vRzS50kQmAnZBEARhwnv44Yd56aWXeO+997jkkksGfOZ2u6mtraWtrY2ioiLy8/Nj/0iXl5ezbt060tPTsVpP3ps9UpIkMXPmTFavXk19fT2FhYXD2m64vYvHl25MS0tj8+bNhMPhAQNRRyIakB3ucbPrcB9xBjXlk+IotVmobnHg9AapauolTvIx3diP31hAICTT0+9FqVRwyGvgoFvHNKuPRfFOvGElTQETO7r9hFCAwky61UAgGOl57u4PkGhU0dPvZduhfpQKicVZYVq9atxyCLs7QIJRgzcQwqxVcqDDiccvc7DTSYcrjlKblYYuN+12H2a9GptGSb8vRFgOY1CrUSkjD0nNvV5S4wwEQyE2N3QzKU4PuTApTs+iYj91rX3sb3fR6w4QCIXwBGTcfplet59kkxajVkkorKbFI1MUB07UpFojuezejiA6jYJ8k4lEk5atjb14/CFaHT4mxWmZZvVSlN2PPyhz0Gfmc3PKaenzkOKxk2LRUdXUy8YeNVek93Po6ORSFpuGqkPdtPV5STJpMOtU7Gl14vAGCIRkzDo1mQlGQKbL5ccXDFOQbKK514PNqkclSTR09lNiGziAtKXPw4G9taj9DpYsWojBYODjDZs5VLsdJleSaDp5OcShHiaHCq7TrJG3V1VVVWg0mgFVYUbT4cOHcTgczJw5E4VCQX5+PpMmTWLPnj2sWrWK3NxcioqKBr1Be+655ygsLOSKK64Yk3aNBxGwC4IgCBOe1Wrle9/7Ho8++igXXXQRCoWCYDBIfX099fX1pKens2zZMvR6/YDt4uLiyM/PZ/v27SxatGjUZznU6XTMmTOHdevWYTabT1j7/VjD6V0cqs56SkoKF1xwAZs2bSIYDJKXlzfiad2jAVmn08O+Dif+YJg+j5+MOAPpVj0ub4DMOD1ZgQ5ki43FRemRNIgWO20OH0lmHQpJ5nBYx/4uIzlGL5kqO3fmyVTbVWgMVgxaBVsb+zjcHaneYtFp6HHb6XWHsGgg1yzzYaeW7oAPhydAfoqZDruPg912lAoJhULGEwjyYU07TneAtDg9cUY1voASlSJSZUan1pBq0THZZoS2VnKTTei0KnY3O9nX3s9X5uawsDCZVruX2bkm9rTaqWrqJRyWKUgxY9Up8YfCBENhspKMqFVKGkIuWnxqiuICtKDHqlMiAb0eP05vEINGhVohodcoSFCGKdP2kOZqp1+hZZ/Pytb2MMvKbCwoTGZ9fSftDh+pFg2Z8Xrc/hBefwvJgS4giUNdLt6raafT5cOojcOgUZKVaKDfFyDRrKen3483IKNTK+hz++l0ekGCxSUpTMmw4guGcXqDAyrHhMNhXC31qANOps28AKPRCMCUKVPZtWsn7ft34bEtGPR35FinepiM3rvdLh9rt+7C3dvH0iWLx2T2UI/HQ3V1NdOnT0ej0cSWa7Vapk6dSk5ODtXV1axcuXLAxGednZ38x3/8B//+979H/PdjIhMBuyAIgnBOuOeee3j++ef585//zOLFi6mpqUGv1zN//vyTTm1eXFxMW1sb+/bto6SkZNTbFRcXR2VlJdu2bWPhwoVnXD7uZJMiJSUlMXfuXDZv3ozL5aKiomJEwVI0EAsEIxMTKaXIREYalURGvI52u5JcvQeTSsWsGeUkWyLBXbxRQ7/v6IyhKon1+7poc3g5bFfg8GjJNIRYlqUkXd2Cw6OhI6zmUEhGo9ag0yiJN2jxBYIUJqiQCIHWSIoOZKSjaS9+3L4wk+IN6NQK9GoVkiThCYQxalUsLEiiobuf6iMOjvR5SDKpmV+QzOLiZDa27eaqygz8oUgJR48/DMi02r1sb+xjvT/A5oZu/EEZnVoiJ9GIXqPCcbALpUKBVa8iKy4ep9dPQkIcNukwwUCQdqdEUaqJPJWRva1OlLKfuJCHW3I8GBQh6hxqfn9Qiwct07MsfHlOXGR20WY7qeZIKcNDXf3ISATCYQ6FEijjMHrZx5EeL8FwCIUkYVArMWg0XJCvpzzdijcYRqdS4A2GsXv8xBk0tPS58fhl0uM0QCS9RyGBThX57n0+H1u2bCEQCHDh4kUDgvIks46l82azY8cO1q9fz/z5808YtA83VWXnvgbsLU0k5FeM2mDuY8myzM6dO7HZbCd8CLZarcybN4/W1lZqampoaGigoqKCn/zkJyxevJgFCxaMervGkwjYBUEQhHOCTqfjqaee4tFHH+XXv/41U6dOZdKkSafsRVMoFFRWVrJu3TrS0tJGPTUGICMjA4fDwebNm1m0aNGAHsGRGM4MpgkJCSxatIjNmzezYcMGZs2aNeygKRqQ2T0BsuINuHwBkCXaHX4qMuIpSvKhaqthxqyZsWA9ut0l5WlH02n6+bC2Ha8/TLxBTaJZi0ahwGeN519N3cRLLiqsHubHh+gJBfCrZbTZRlr7jeRo7HT4NVgMGtLjtLT0+ahtjaTieIJBtCoFCXE6ClKMTJkUR1N3P0d6PcQb1Hj8IZJMGgxaJfEGDbnJkVKNUXEGDQsKU3B4/ICETqXA7Q+wck87Tk+QNIuOFIsO+ejspqlxOvRKJTmJJtodXlRKFSaTEdmtJlEdoMUbRvYrmBqvZKrKRdDbjyOso8FjosmrJYyEShvAEAadRs20rMhD4/bGPiRJRpKgttXB/nYHKklBolFLoS0Zd9tBJsXnMTMngcYuD0atErc/QJJZTbxREwuYu10+7J4AeclGkkwa6jv6MWpVbDrQzb52J0U2M1Mz47Hb7WzevBmr1TqoBnqUJElMmzZtWEH7qdjtdlzN++nWppOiG5uZQw8fPozdbmfp0qUnXU+SJNLT00lNTaW+vp633nqLl156iS1bRl7KeaITAbsgCIJwzrjpppt49tlnOXDgAJdffvmwt4uLi6OgoICqqioWLx6bV/glJSU4HA62bNnC3LlzR3yM4QTrUQaDgQULFrB9+3ZWr17NnDlzRvQgkmrWkmjSoFJKhEIyWpVEYYoJd3sn/YkJA6Z+P3YgotcfZNeRPmZnJ9Cd7CPRqEVCIsGopqc/QI8/TLNfh9+YRNDtJUXpI0vhYqraS0mcGkkO0xY0kGJUMynOSEufn4YuNw5fAAkJXzBMOBxGrVDS0++PPIzJkZ7zYBhs8XoWFCRhPToBT0+/H4Cdh/swG7TIsoQkyRzsdHGoy0VDl4t+fwirQUVOkpm8JAOtdg+HvEEyrHryUixkxOtJNGpod3iJ16twOpVcEO9BqwyjVTqQ/XEU5OXR0K+irc2FJxQgTadgfmEiFr2avW0ODnd72NzQRZpVjyTJ1He4cPmDtPd5aOn1YdAqKLZZ6FGaUfR34wh0kBmfgDcIrQ4v3kBkxlSLXoNVH7nWe9qcVB3qZXpOPLNzI8dyeAL4giHcgRDeQJCO9jYObd9PYWEhRUVFJ314HY2g3efzsWnTJjJz8slLyDjtyjMn4/F42L17NzNmzBj2g69SqaS4uJinnnqKa6+99ozmR5ioRv//WIIgCIIwRpRKJc888wxPP/00TqdzRNsWFRUBkRkTx4IkSUyfPh2fz0dNTc2Ith1JsB6lUqmYOXMm2dnZrF27lpaWlmEfzxsMo1Yq8AZCeAIh9rW72LK/mcbGRsrLywesG817b7V7+eRgNzsOO0g0a7l7cSEuX4i9bS72tTvZ39GPRadhTm4iUybFo9Ma2e/Rs8GRwLZgJp3EoZVCZKn7KfQfRGrfQ4mmh0Qc4HOjVUB2gpGLy22kWrVsP9xHS5+XOIMaSYIpkyxMybACUqyKyb72yD2gkCIDTCVJxqxV0ef2s6Whl+oWB2qlRMWkeDKsesoy4pidm0i8UUNGnI6iOAlPTxuBzgZmatswdVWjx4dBFebjTgOvNlioD6fQI5k50OVDRkHFJCuXTkljdm4iJTYLXS4f2w/38s8dLfx7dyv9vgBpVh0mjYokk4Zks5acRDOz8xKwxRk4QgJJgU7i9SqSTWqSTToKU01HZwP18/GeDva0OQCZbref9fUd9Pb7seo1dDkD6DVKCpKNFOv7sR/eh5SUS8Bkiz28nEw0aE9MTGT9+vV4PJ5h3zPhcJgNGzeh0JnIzMmjPMM66jOmyrLMjh07SEtLG9Z4kGPt2rWLv//97/zoRz8a1TZNFCJgFwRBEM4pK1asYPLkyTz66KMj2k6hUDB9+nTq6+vp6+sbk7ap1WrmzJnDkSNHaGxsHNY2pxOsR0mSRHFxMdOnT2f79u3s3bsXWZYHrdft8rG+vpP19V10u3ykWXXYrDomxRlJMKlBlpF7DmNOTsdsNg/Y7nBPP25/AK8/SKpFy7RMC5PTLNg9ftLjtaQn6LDF6THrlKiUCgJhmTSrji/MmMSCgiQsehXeoIL+kAKfrMJcMJMecy41Dg3BEJRZAtxS4OO+YjeXpvRh9bZhDXSTqujH5+pl16E2PtnXiT8QxqLXUHWolz1t0Ye1yLlmJRrQaVTIsoTTFyROryUUDiIH/cSrghRZQsxIDmH0dmBwHmGZtYs56iaM9oPYuzrp9oTw6lMw5kwlkFyKTimjMxrxyxIHOl2AREGqkUlxOopTzVj1kaokrXYvPa4A/mCkRnyHw8f6/d10uryAjDcYJsWspTTNRGGKmYWFycycnI/BaCAu2E16nIEL8hP54sxM5hckY9Frjp6SFKkAY1TTbg9Q3RKpfS5JMshhZpn7MIf62OxJZmtHmO1NvbTavcO+Z0YatMuyzK5du/D6AzgNk9jb7qS62R4rDxq9V45fNlJNTU04HI4R95CHQiHuuusu7rvvPnJyck77+BOZSImZoO549bOXfyUIgjAaJEni5ZdfZurUqVxzzTVceOGFw97WarVSUFDA9u3bxyw1xmg0MmvWLDZu3IjJZDppfeozCdaPlZ6ejslkYtOmTdjtdiorKweUumu1e6lq7AMZrHo15RlWytOt9Pu6STAZKYuDUJef0uLiAftttXup7+jH7QvS3OdGliUWFCZj1WvY3+5iTm4yDo+fpu5+0qw69rc56XNHenrnFyRRYjOzsraN7U196AIuupRagk4fR5ywo1dJaaqFQpuJqnYnGSbIsSixu5wowh4mqX3YZD96Qxi1AkIdnbR2qUhCib1Bw4YOLaFgGIBQ+wHaWsJIvgBKZMxBP8tMQZabZIKyhMrpxxnQgUEPSjV9mmT8ko4cWxxNnf10u/wkqrRYFRqMRhV6j4klcXo8ISW2uEjah0WvwRuQOdLnwekJUa9XUp5upWJSJBVJAnr6fbQ7AzR09qPXqGjs6ccbkAnKMDvPR7xRgyQpMNlysR+qprxsElkp8bGe6hJb5GEgmmpSkGIi3qChPD3Sm51lVaLtakWJkoPqLPoCPlJlBWadakTpKSNNj2loaKCtrY0pMy+g1ydh9wQGlX8cyfwCQ4lWhZk5c+aIJzr7xS9+QV9fH08++eSIj3uuED3sgiAIwqhas2YNV1xxBenp6UiSxFtvvTVonbq6OlasWIHVasVsNnPBBRfQ1NQ07GPk5eXxzDPPcMcdd+ByuUbUvmhqzN69e0e03UhEJ3bZvHkzDodjyHVGK1iPslgsLFq0iEAgwMcff0xnZ2fsszRrpGrJ9JzIBDjdLh+bGrr55EA3a/d34u9qJL+wmNT4gYMIo9vFGVTUt/ezr81Jc6+b2pY+9rXbYzntmxt6OdLjIRCOlCJ0eoO8tf0IDZ0u2p0+2l1+ktU+tOY4EoxaPIEQBpWKFIuWeKOOG+fmcu8l05g7pYheTQobnXF44gvY7EvjVwfM/PaQmX+0WdjQY6JDtuDWxOFRW0EXqcijtyTQpzCzu09Na9iCnJhHQsE0EkvnYMifRZshjx3+VOzGSagSJ2FJSMJiNiJJCtQKJXqNgoJUI03dbt6rbseBHhMeilJNhEIy6/Z14vD4KUw1UZ5uRaGQ2dvuot3p5ZLyNC7ITyTOoCHeqKUgxcD8giTykw3o1UqC4TAunx+Hxx95cDrUy66OIKaEFAJdTQOC20STNpZq0mqP5LbnJhvxBELU7K3HcXAnSYkJZBZPJS3ezKzceApTjbGAfiSG29Pe0tJCbW0ts2bNIiMpjvIMKyU2M4Wppti9VN1sR6dSxJaN1LGpMMeOnxiOuro6nnzySV555ZXTHkgLEAwGeeyxx8jNzUWv15OXl8dTTz1FOBw+7X2OJtHDLgiCIIyq/v5+pk6dym233cY111wz6PMDBw6wYMEC7rjjDp588kmsVit1dXXodCP7h/6ee+7hjTfe4JFHHuFXv/rVsLeLpsasXbuWtLQ04uLiRnTc4crNzcXv97Nhwwbmz58/INVktIP1KK1Wy7x582hoaIgMDszMZPLkySSatANmxaxutnOkx4PdHSBX58QbhLAxadD+ots5PAE2H+rFoFYSCMmx/HIpVhYy0surVSnJiNcTCIXZ1NCDQpJRSgry41UYCZKVnUFavImefh86tQKjVkWKRTMgyOvz+Ol1+QmGZT4/JZ28ZBNuf4hOp5dmu4+ODonDPolkk4J+X4AZCmgNGanpC7G2JcxMlYayokRAItWspbGhm62NfXj9IfpcPuJMGibF6ZGJ9IgrFJG0GoteQ1YiVLfYOexWURToISPOxpr6LoIhmSmZVsozIr3p7U4fPa4AIJFo0rKwMJlks45DXS7CYYm8FAOHuvpJsxowqtWkWHRY9Bp0KgXxRjWJJg2l6alUbVxLZ2cnycmffjfRQb7RALjH7mLfvl0owz7KK6ZRkD2J6mY7Bo0fozaSBuQNnl5Qeaqe9vb2dqqqqpgxY8aAN0XHln+sbrazv90VeZjJsMYC+GNnSz2VaCrMSN6WQSTIvvXWW7nnnnuYO3fuiLY93s9+9jNeeuklfv/731NWVsbWrVu57bbbsFqtPPDAA2e079EgAnZBEARhVF166aVceumlJ/z8+9//Pp///Od59tlnY8vy8vJGfByFQhFLjfniF7942qkxixYtGrPpy4uKigiFQmzYsIEFCxZgNBrHLFiPkiSJvLw8UlNT2bFjB6tWrWLatGkDgsI0q44pmVZcHjdTlB6cpmzS407cO2nRayhKNZERZ2BObiIdDi+9Tj9JJh1pGZFqLcWpZnSaSGpGb7+fnn4/zX0eVAoFF2SoCPSa6XKHiTeHmZObSHOfm5Y+L2XHDF5stXux6rQUp0Uqw3S5/OQmm5BliQ6HG6evB6WkoDDFiEmnpr0vDD4otVnwhyXaHD6mZyfEUnY6nV72d/THJh7q6leiVCpIyNDiC4ZwekIYtSp8QRmHx49Fr2ZSvJ5Wh488/CRow4TCMkatCov+0zSN41NXIg82WkpsZva0OWjo7MflDTE3P5EEowaLXkOJzUyr3YsMdLv8HOz1MSknn+rq6gHpWdHUkoIUI+ZgH4cO1qDUWXHqcmkPaPEe05sdrdd+JtVaThS0d3R0sGXLFiorK0lLSzvh9sdPtjTS1JgzTYWx2+089dRTI9puKJ988glXXnkll112GQA5OTn8+c9/ZuvWrWe879EgAnZBEAThrAmHw/zrX//ikUce4eKLL2b79u3k5uby3e9+l6uuumrE+8vLy+OnP/0pt99+O7t37x7Qi30qRUVFtLW1sXv3bqZOnTomsyJKkkRpaSmhUIj169dTXl7O9u3bxyxYP5bRaBzU215WVobdG6LV7sWi11CgduAMGyjKyThpcHVsgJpo0jI7LxGVUkmaVXe0FKOETqOK9UAnmrTcYNSwp82BwxMg0H0ItdGKV5JjQabbL9Pu8OLwBGPHSbPqqMi0xAJes04Vm0woEAoRr9dSmGriizMzAWjucdGwvZ6Oo4M85xckMT0rnnijBrvHT3OvG58/gFalRK9WkBGnY3K6BYteRarZFJukqN3po/pIL32eIMkmLQaNCh0WVMF+imxmJsXpKbENnhCrt98fK3n5aa+zRHOfm4w4A5eUpw26rvU6FXtbnfS6AywpSiXUGhmgHL0f0qw6gn4vPQ01HOl3kpxXSmJi8tGJlAKDerOHO9j0ZI4P2ktLS9m+fTtTp04lIyPjpNseP9lSmlWH3RPA7vHT7fKd9L4KhUJs2bKFjIyMEafC1NbW8tRTT7Fy5cozSoWJWrBgAS+99BL79u2jqKiInTt3sm7dOp5//vkz3vdoEDnsgiAIwlnT0dGBy+Xipz/9KZdccgnvv/8+X/jCF7j66qtZvXr1ae3z61//Orm5uTzyyCMj2k6hUDB79mza2to4dOjQaR17OCRJory8HKvVypYtWygoKBjzYP3YY+fl5bF06VKcTicff/wxBw+3sr/dRcDjJA4X+UXFlNhO/qBzbG51pAqIxPTsOCx6DU5vELNeOaiXN9GkpcRmwRcI4XH24pQMsfSNNKsOi16BPxTC6RlYjrDT6cPlC2KLi6SaFKSaKc+wYtap0GmUZCUaANjT5sDuCQCw87CdXUccNPe5WVnXzrvVrTg8Qdrtfpy+ECaditwkE/nJFjQqJR0OP95gmPIMKwVHq7602v0c6uqP7FOWUBri8Dr7cHoC2CyRc4tWQdnT5uTjug42Huxmf7uLzQ3dvL7xEP+3uxWHx49BoyY32TgoWI2mzywoSmZ6dhx6jQpzWi61dXX4/X5kWcbV3UZz7VYsJgPppTNp8WpjbT02dzxyDSLt+LRqzumLBu1Go5GtW7dSXFxMZmbmiPeTaNJi1avpcPhP+jARnc1UluURV4WJpsJ84xvf4IILLhhxG4fyne98hy9/+cuUlJSgVquprKzkwQcf5Mtf/vKo7P9MiR52QRAE4ayJDuC68sor+eY3vwnAtGnT2LBhAy+99BKLFy8e8T4VCgW/+93vmDJlCl/84hdZtmzZsLc1GAzMmjWLTz75BJPJNCBtZDT19vbS2dlJQkICjY2NTJo0CaPROCbHGorRaGT+/Pk0NDRQU1ONpLPiJUBRYQGlpScOyo6dNAki6Q52j58Ohz8WOFr1anQqRSw4OzZIbbV76e/vxyiHyEhJYm9HP4d7IhVlUkx69in78YfkAeu32b0EQmHK0yO99dF8aIteTaol8t9o1RspHCITmJppJd8v0+3ys6Opj16Pn6x4PRa9GpNOhUmjIi1OR16KkVSzlv0dTnY09aJTKShINZNm1VGYagRJxuEJotPKaExWnB2H2XUEzDoVqVY9+9td2D2RwN4dCFJgMpKZYGTn4V7W1XeTaNBw6ZQ0lpYYT5qmEn1b0Wr3ss+uwCBpWbl+M3qljM/jZubMmaSmptLt8qFUDUy9Ofb6Ojx+2p3eo7O7nrmuri66u7sH3Ken03t9fJrMUA4cOEBnZ+dppaT9x3/8B06nc1RSYaL++te/8tprr/GnP/2JsrIyduzYwYMPPkh6ejq33HLLqB3ndI1rD/upKgnIsswTTzxBeno6er2eJUuWDJqMwufzcd9995GUlITRaGTFihUcOXJkwDq9vb3cdNNNWK1WrFYrN91005jV4BUEQRBOLCkpCZVKxeTJkwcsLy0tHVGVmOPl5ubys5/9jNtvv/2EVVlOJDExkYqKCrZs2UJ/f/9pt+FEojnrZWVlLFiwgLS0NNatWzfi6jZnKtrbPqlsJgR9+NxOAoEAPt+J62YfO2nSp7nJUixYj/a8e4Ph2HrHSrPqSNX4UOjM7O3op7nPTX1HP3vaHCSaNCwsTOKCvMQB69usOuL0kV7lY49fYrOwtCSFEpsFnUpBglFNiiUyE2ZRqoVLK9K5tCKNZZNTKbaZ8ATC7Gt3gQwqlUT4aEnLglQzvmCYulYn1S12IBIIX1KeRmGKCVmGOJ2aflmLDBTGKchNjATgKRYNDZ39OL1Bim1mZucmUp5hpTjVTG6SnrwUA46j6SDHOrZG+bG94mlWHYqQH6c3iM/RTVip4cILL4ylh0SvLzBkjfNjH2KGOtZItLe3s2nTJqZMmcKCBQtOa3KlqGPfyJzoWHv27GH27NkjfiCoqanhqaee4tVXXx3xQPWTefjhh3n00Uf50pe+REVFBTfddBPf/OY3eeaZZ0btGGdiXAP2aCWBF198ccjPn332WZ577jlefPFFtmzZgs1m43Of+9yA2e0efPBB3nzzTf7yl7/E/gd4+eWXEwqFYuvccMMN7Nixg3fffZd3332XHTt2cNNNN435+QmCIAgDaTQaZs2aNaik4r59+8jOzj6jfX/ta18jPz+fhx9+eMTbZmdnk5mZyaZNmwgEAmfUjmMdP8A0mh6TmZnJunXrRvxwMRInCtwyEi2o5CDZeYX09/fz4YcfsnfvXoLB4KB9RHqeI8F59M+p5oFBWLfLh93jJ8WiHTItRvY46QnpaO71kBFnYHp2HCDhDchMzYynINU8YP2FhclUZscNOObx+/UGwxg06ljN922NPbHPLHoVFRlx5CYZSLXq0auVqKRIFRudSkF1sx2zVoXNqmXSMQNtE01aEowagnIYkNl9xE5XQEtpvMz07ISjqR4aXL7ggDcA6+s72dPmxKLT0On08e+dLby5vWVAmsqxDx4ggwShgI/6umqMPXsJKTQEdPEow0FUqsHJDwO3/1SqWUdmgp5U86flFfe0OYdc92RaW1tjA0yzsrLOaEbUU3E6nWzdupWpU6cSHx8/om2jqTD33Xcfc+bMGbU2Abjd7kHzMiiVSlHWEU5eSUCWZZ5//nm+//3vc/XVVwPw+9//ntTUVP70pz9x9913Y7fbefnll/njH//I8uXLAXjttdfIzMzkww8/5OKLL6auro53332XjRs3xr7c3/72t8ydO5e9e/dSfNwkEYIgCMKZcblc1NfXx35vaGhgx44dJCQkkJWVxcMPP8z111/PokWLWLp0Ke+++y7//Oc/WbVq1RkdN1o1Jpoa87nPfW5E25eVlbFx40aqqqqYPXv2GQ9CPVE1mOhAVIVCwfr165kzZw4JCQlndKyhnKhaR09rExaTganlpUiSRFdXF7W1tTQ0NFBcXEx2dnYscDk+BSPRpI2V8bN7/Fj1mgEpMsf3qIbDYXyuPnJzyinUmSixmWN58MdWWTnWUMcEWF/fxbr9HWTEGSixmXH7AzR2u0lVQ01zH3PyU2i1e1lX34XTE2TKJAupVj3+YIh2h5+cJGPsTYAkyUyKN6LTDAyDLHoNqWY9WYkmjFofbR49aSE31S124o2a2BsApydEu9NLdYudve0ukMMYNCo8/jDuQBCtVkl0FlYAnUqBdHTAbXKinmD3Efrq9xDWWug0FpCcaOGCHCtVn6ylvb0dm802oF0nSjHxBsOxcQHR7zvFohlRPfSmpiZ27drF9OnTSU9Pjy0f6eRKwxEIBNi0aRM5OTmnlR//7LPP0t/fPyYTJF1xxRX85Cc/ISsri7KyMrZv385zzz3H7bffPurHOh0TNoc9OqvWRRddFFum1WpZvHgxGzZs4O6772bbtm0EAoEB66Snp1NeXs6GDRu4+OKL+eSTT7BarQOexC644AKsVisbNmw4YcDu8/kGvCYcy14QQRCEz5KtW7eydOnS2O/f+ta3ALjlllt49dVX+cIXvsBLL73EM888w/33309xcTFvvPEGCxYsOONj5+bm8uyzz3LHHXdQXV2NxTK4sseJKBQKZs6cyZo1a9izZw+lpaWn3Y5TlW6UJImSkhI0Gg0bNmxgypQpZGVlnfbxhjJUkOd2u6mvr2f+/PmxB5KkpCQWLlxIa2srdXV1HDhwgJKSEjIyMoZ8aInuL1qxJMWiPWGAeKi5HSQF6UkJ+I7JVT8+KB8emU6nj05HpFe91/3pm5A+T4g9bQ5KbBYmxenZ73PS0NVPepyBvGQjk9PjYuUmJUnGrFXh9AXRqSIPJtFc/VSzluk5cTT3uun3BUlKTMJo30d7r5tWu5fyDCsLC5OP5vIHcHpCTIrTkZMUefPQ7vTFykMeW1Wm3enlSHc/Rl8XgZ4WrFYr6cXTqOsOkaxTsbAwmUSTltLSUqqrq0lJSRnQ23ui6zXUdzxU/fNjxyJEP5NlmdraWhobG5k9ezYpKSmD9j+aQbssy2zduhWTyTQoJW44qqur+fGPf8yqVatGNRUm6pe//CWPP/4499xzDx0dHaSnp3P33Xfzgx/8YNSPdTombMDe1tYGMKjMT2pqKo2NjbF1NBrNoFcqqampse3b2tqGvAlTUlJi6wzlmWee+UxPcSsIgjBWlixZgizLJ13n9ttvH7Oeq7vvvps33niDr33ta7z++usj6inXaDTMmTOHNWvWYLFYTlnSbigjqbOel5eHyWRi69atOBwOysrKRq285LFBXjRgszftIT09fdC/m5IkkZ6ejs1m4/Dhw9TW1lJXV0dubi7Z2dlD1sdONWsHlHo8VvR4LYdbCGrM1LQ6kGUp1q6hAshTKbFZqMyK50ifl0SThtxkI4f0Cug8jFKSiE5idEl5pGb47iN99PUH8PiDXFiSGps9VJYlnL7ggAmHju2d7nT6WLO/i3a7l5wkAxfoNKTqAoMGfh77liB6Dsem90S53W762w6R0d+GP6Rn1syZJCcn09Pvp9PXTVO3m80N3czOTSQ7O5uGhgYOHjxIQUHBKa/Jid5GHO/4ty2BQICtW7fidrtZtGgRJpNpyO1g9IL2mpqa2PFGeo+7XC5uvPFG7r//fmbPnj3iYw+H2Wzm+eefnzBlHI834cs6Hv+lyrJ8yi/6+HWGWv9U+/nud7+L3W6P/Rw+fHiELRcEQRDGg0Kh4PXXX2ft2rUDJmcaLrPZzMyZM9m+ffuICxSczqRIKSkpLFq0iPb2djZu3DiiHPrhDjBstXvZ39RKd1fnSXs3FQoF2dnZLF++nLKyMlpbW3nvvffYuXNn7E1zNPiLlhocKkjc0+bg4z0deB29pKQkU55uHdALf6Kc7JOJBuOXVaQxOzeR+QXJLJ8cSR0pzzBzqMtFfbszlove6fJT12Zn08Ge2ODSaE788e2JLgcJpydEskmDTqXE7gkia81k6AJDlmiMVnqpb3cO+B5kWaarq4vNmzezcuVKDIoQk4qnMGfeAlJSUpCkyMOFLxhm++E+1td30Wr3olAoqKioYO/evScdDDxSx44FcLlcrFmzBuCUwXrUmea0NzU10dTUxJw5c0Y8OVI4HObWW28lISGBH/3oRyPa9rNkwvawR/O32traBsyw1dHREet1t9ls+P1+ent7B/QWdHR0MG/evNg67e3tg/bf2dl50iL9Wq0WrXakr+sEQRCEiSA1NZV//OMfLFq0iLKyMi6//PIRb19cXMymTZtYvHjxsF7Bn8kMpiaTiUWLFrFt2zZWr17NnDlzhjUJVDTwjeaTn6jH2mbRctjVTFpu3rDORaFQkJ6eTnp6On19fdTt3c+qVaswW6ykZmSSnxR3ihxpCSkcQvb1U1mUjTukGBCcD6fs31CO7d2ubrajJtJD3ucOsP1IpAe5INWMRa8m3qhBKUF+iik2QPREqSXR5fXtTjqdXhYUJKNTK/H4wiQkmXH2tQzZnuj1lyQZWZYIBfz0ttlpbGzE5/ORnZ3NsmXLMBgiteOj7Y5V2Em34vIGSTRpYtciOTmZpKQk6urqmDZt2qBjns7biej5dXR0sGbrVrKzs5k8efKIerpPt6e9p6eHXbt2MXv27GE9HBzvRz/6EVVVVWzevHnEwf5nyYTtYc/NzcVms/HBBx/Elvn9flavXh0LxmfMmIFarR6wTmtrK9XV1bF15s6di91uZ/PmzbF1Nm3ahN1uj60jCIIgfPZMnz6d3/3ud9x4443U1taOePuCggKSkpLYvHnzkBVUjnUmwXqUWq1mzpw5pKWlsXbtWjo6Ok65zbE9wyfrse7vaUdFmIrSkxdaGKrHPi4uDvOkIkJpU1Fbkmg7fIjDuz/hyIE9dHV1DVlFo8RmZlaaGr3BiF6vH9Sjfqqyf6cS3d/Wo9Vhuvp9gIxaKR09voUvVGbwhemTWFCYQrxRM6z9RgdxOn1BrHoNiWYNGakpOJ3OWK/ysdcozaojP0lPouRG6j5A465PaG9vp7i4mIsvvpiysrJYsH5su6PXoSDVzFfm5nBpRfqAa1FeXs6RI0eGfMNzOm8nZFnmwIEDbN68mYqKitNOvRppT7vb7Wbz5s2UlpYOmZ58Km+88Qa/+MUvePvtt0lKShrx9p8l49rDfqpKAg8++CBPP/00hYWFFBYW8vTTT2MwGLjhhhsAsFqt3HHHHTz00EMkJiaSkJDAt7/9bSoqKmJVY0pLS7nkkku48847+e///m8A7rrrLi6//HJRIUYQBOEz7rrrrmP37t2sWLGCzZs3j6gaSzQ4+eSTT9i8eTNz5swZcoKX0QjWjz1mWVkZFouFzZs3U1JSQn5+/gmDq6HyqY8XCASoq6tjypQpp5yg5kSVZSL7jSPNaiPBOJlDLe00HGqiefMWQCY1NRWbzUZKSgpqtZpEk5bmcD/61JRjto/893R6iKOi2+pUCgpTTTR1hQl0QrJJi1mnJyPeGGv7/ILkWEUbq149rGNFq7lEyz06PSECKImLi6Ozs5OsrKzINWrpwdHpReG109nZiVKtBY2VSWWzmJ6fdsL9D/fNgtFoJC8vj+rq6gEDhEeyj6hQKMSuXbtob29n3rx5Z1yRaLg97R6Ph/Xr15Oenk5eXt6Ij7Nz505uvfVWXnvtNcrLy8+ozZ8F4xqwn6qSwCOPPILH4+Gee+6ht7eXOXPm8P777w94Tfif//mfqFQqrrvuOjweD8uWLePVV18d8D+l119/nfvvvz9WTWbFihUnrP0uCIIgfLY8+eST7N69m+uuu4533313yDrXJ6JUKrngggvYsGEDW7ZsYfbs2QOqd4xmsH6szMxMTCYTmzdvxuFwMHXq1JMG2yerurJv3z7MZvOA9NITOVEwePz++9Fj12dQkF1EhiFMW1sbe/fuZdu2bSQlJcXSUaOB1rHbR4Po6PKRiD5QRPOxe11ueoCpk+JocQYG1YgfaXAb7WHXaVSxajBpVh1SUhLNzc14PB7aW1pROOz4rHFMykinrKwMH2raHL4BxxnqweRE39NQ6xYWFrJy5UpaWloGDH4eSYUdr9fL5s2bkWWZxYsXn3FZxqhTBe1er5f169eTnJxMRUXFiHvzOzo6WLFiBY8++ihXXnnlqLT5XCfJpxrKLwCRso5WqxW73T6iMmGn645Xt4z5MYSTe/nWWePdBEEYNWf7/2ETjdPpZN68eVx44YW88MILI94+EAiwYcMG9Ho9M2fORKFQjFmwfiyPx8OWLVsIBAJMnz59xBPNuFwuPv74YxYvXjyq3/uJesmbO3tpONyC39GF096H2WzGEp9IQKkn05ZERnI8Pf3+M+5hjw723N9qR9G8ndzKBRzo8pJi0Zw0l3+4+081a1CHfdjtdnp7e2lra8Pn85GWlobNZiM1NfWU49yiDyaFqabYbKUjXbepqYk9e/Zw4YUXjuhBE6C5uZldu3aRkpLCtGnTTvl25XTIssyOHTvo7u6OBe0+n4/169djtVqZPn36iIN1v9/P8uXLSU9P589//vOoVU06103YQaeCMN5O96FJBPqCMPGYzWbefvttZs2aRUVFBV/96ldHtL1arWbu3LmsX7+eqqoqcnNz2bhx45gG6wB6vZ4FCxZQX1/P+vXrycvLo7i4eNjBV3V1NVlZWaP+kHaiXt5ev4JO4kiNV6JApqCggP1NrdjtnXQe2sNOpRKr1UpcXBzusBWNHIfJZBp2UBY9ZjQtJj/FSEMzpFp0KJSqWG34Y9c9lVAohNPppK+vD7vdTld3DwdcTpQKJfHxcVitVqZOncrWrVspKSkZ1rWMzP4aIMWiGVbv/oneBGRmZtLQ0MCBAweGncbr8/nYtWsXXV1dTJky5bRKkw7X8T3ts2fPpqqqCrPZTGVl5YiDbVmWuffee3G5XPzud78TwfoxRMAuCIIgnBdyc3P529/+xmWXXUZJScmIJ2rSaDTMmzeP1atX09LSQnl5+ZgG61EKhYKioiJsNhtVVVW0tbVRWVl5yt72jo4Oenp6WLZs2Zi3MSoacDoON2Oz2Zg0aRL6uORYr7VG9tPX10dfXx8NDQ3Y7XYkScJqtaLU6AigJN5sJNFqwhdWYPdDRpKFFGskN73b5WPt/k6cnhCV2XGUpllo2A4JRg2pccZYLr9OpaC62Y7NosWqU+L1egf8+Hw+7M5+HC4XAU8/SmUkTz0uLg5DcgYOo5K8jEQqJsXFzi0pKYnOzs5hBeytdi8dDt+Qs78O5UQPQJIkUVFRwYYNG8jKyjplSku0Vz0pKYkLL7zwrFS7iwbtVVVVrF69msTERGbMmDEgdWy4fvWrX/GPf/yDrVu3DhisK4iAXRAEQTiPLFmyhP/4j//g6quvZuvWrSOeXbS/vx+/349Go6Gnp4ecnJzTCkxOh8ViYdGiRcPqbQ+Hw+zevZvi4uKzWqI4WgP93V3dFBfmx5Z9GozqsVqtZGdnx9rpdDqx2+0cau+l195PwOuhr6sdZ7+bgN9PEzIqlQqdToc3rMDtCWJQK+k4oKV1fySrd9u2bUCkh1aWZZrdPjxeHwfDAWQ5jFKpRKfTodVq0el06HQ6wmo9Xr2BnLwkpuXZYr253S4f5qNpN8dKTk6ms7OT/Pz8U16H0y1bOZSEhATS0tKora1lxowZQ65zNnvVhxIIBHA6nWg0Gvr7+/H5fCPOl//oo4945JFH+OCDD8jMzByjlp67RMAuCIIgnFe+/vWvs2vXLq688krWrVuH0Wgc1nbRnPWysjLS09PZsGEDW7dujeW0nw3D7W1vaGgAOCtvAI7ncDgIhULDyrdXKBRYrVasVivGhNQBue3dLh8tfR6SDUoMKhmv18vupi7agy5SEw1o1Qo67G4UQGJiIiqVCkmScPtDeJ0+NCoNBbZ4bAmW2GfHqm930t1ix3xcSs6JeruTk5PZs2cP4XD4lN/3SAaGDsfkyZNZuXIl3d3dJCYmDvispaWFnTt3kpiYeNZ61Y/l9XrZsGEDJpOJhQsXsmvXrhHPiHrgwAGuvfZafvnLX4qS2ycwYeuwC4IgCMJYeeGFF7Bardxyyy1D1hE/3vEDTLVaLfPnz4/VmQ6FQmeh1Z+K9rZnZGSwfv16amtrY23w+Xzs3buXioqKs/YgcazOzk6SkpJGfOzja7MnmrRUTIrDlmDGYrFEBk+W5FNcmIsuwUZqeib5eZEHkpycHHJzc8nJySFsTMIuWUlOSiYzNRG1Wj1kLnS708vhHg/tzuHVM7dYIoF/T0/PiM5rNOj1egoLC9m9ezfRWiE+n48tW7awc+dOKioqmDVr1lkP1qOlG61WKzNnzkSpVI54RlS73c6KFSu4+eabuf32289Cq89NImAXBEEQzjsajYa//e1v7N69m7vvvvukQfuJqsFoNBrmz5+P3+9n06ZNp5xcabQpFAqKi4tZuHAhHR0drF69mo6ODvbs2UNCQsJpTVQzGjo7O0lOTh67/Tt9HOzoxxsMU5o2OJ88OpnUqdNRJJCP/ncYJEmKpcWMh4KCAvx+P42NjTQ2NvLRRx8hyzJLly5l0qRJZ32AptvtZt26dSQkJDB9+vTYA9pIJldyOp1ceuml5Obm8vOf//xsNf2cJAJ2QRAE4byUlJTEypUrWblyJQ888ABDVTk+VenGaPWYcDjMJ598gs/nG7TOWLNarSxatIisrCy2bNnCoUOHRpybPxxDzYJ6/Geddjfd3d1jFrC32r04vUHMeuUJA/Lje+pP1O4Sm5mlpSmU2MxD7WZI4xmwKxQK0tPT2bVrF/v27WPKlCnMmjULne7M8+RHym63s27duljJyOMfFoYTtLvdbq644gqMRiN/+9vfRly28nwjAnZBEAThvDVp0iQ++ugj/vGPf/Dwww8PCNqHW2ddrVZzwQUXoNfrWb16NXa7/Ww0fQCFQkF+fj4Wi4W4uDiqqqrYsmULLpdr1I4RnbSo1T44hST6WUNLB2q1esAEh6MpzaqjMiuehYXJw84RP1G7jw/shyM5OZm+vj4CgcCI2n2murq6WLt2LUeOHMFgMJCWlkZGRsa4lD1saWlh7dq1ZGdnM2XKlBO24WRBu9fr5aqrrkKWZd56661xeeg414jHGUEQBOG8lpOTw0cffcSiRYvQ6/X86Ec/GvGkSCqVihkzZrBv3z7Wrl3L9OnTSU9PPwut/1Rrayv9/f0sW7aMYDDI3r17+fjjj8nMzKS4uPiMZ7k8WeWT6DJfZxPJycljFkiezmDO0azYotfrMRqNdHV1DWvm2DNlt9upq6uju7ubgoIC8vPz6e/vZ82aNeTk5GAymca8DVGyLLNv3z7q6+uHfX8PNSOqUqnki1/8Ik6nk/fff3/Yg77PdyJgFwRBEM57BQUFfPTRRyxevJhwOMy8efNGPCmSJEkUFxdjsVioqqrC4XBQXFx8VnpBQ6EQNTU1lJaWolarUavVTJs2jfz8fPbs2cPKlSvJy8ujsLAQtVp9Wsc4WbAc/Wx1fQ95eXlncipn7PhZWEe7YktycjIdHR1jGrD39/ezZ88eWltbycnJobKyMjag1Gq1kpmZSU1NDXPmzBmzNhwrGAyyfft2+vr6WLhw4Ygm4jo2aF+zZg2//vWvaWtr48MPPxyzNzGfRSJgFwRBEASgpKSEDz/8kCVLluDz+bjssstOaz9paWksXLiQTZs24XA4mD59+pjn5x44cAC1Wj0od91sNjNr1ix6e3upra3lgw8+oLCwkLy8vFGfqt7vj0yKNJYDTodjT5uTqkO9TM+Jp8QGe9ocgESJzTwqgXtycjI1NTVn3tAhRCv8NDY2kpGRwYUXXjjkBEKlpaV8+OGHdHR0jPngYrfbzaZNm1Cr1SxatOi0KtFIkkRZWRnf+c53aG1tZdWqVcTFxY1+Yz/DRA67IAiCIBxVUVHBxx9/zB/+8Ad+8IMfDDkQdTiiZRcDgQBr167F7XaPcks/5fF42LdvHxUVFSfszY+Pj2fevHnMnDmT5uZm3n//fWpra4dVdm+4urq6MJvNEyAfWT5a+EWm1e6lqrGPqkO9Q+ben46kpCTcbveofqcOh4Pt27fz/vvv4/F4WLx4MdOnT48F68cPnNVqtRQXF1NdXT2ssqSnq7u7m9WrV5OQkMC8efNOu2ykz+fj2muvpauri48//nhQLXnh1EQPuyAIgiAcY8qUKaxevZply5bh8Xh49tlnTyutRavVMnfuXKqrq1m9ejWzZ88ek0Clrq4Om812yn1LkkRKSgrJycl0dXVx8OBBPvzwQ9LS0sjLyyMhIeGM2tHR0THuvesAJTYLVr0mlrM+PTsOkEYlhx0ig4zj4+Pp7OyMzdh6OmRZpq2tjYMHD9LT00NmZiaLFy8eMt0kOnAWiL0lyMvL49ChQxw6dGhM0pAaGxvZvXs3ZWVlZzQBl9vt5uqrr6a3t5eVK1cOa0ItYTARsAuCIAjCcUpLS1mzZg0XXnghXq+XF1544bQmIVIoFEyZMgWLxcInn3xCeXk5OTk5o9bO3t5eWlpauPDCC4e9TbSeeHJyMi6Xi4aGBj755BNMJhM5OTlkZGScVgpPZ2cnU6ZMGfF2o+34nPX5BaP/EBEt73g6AbvX66WpqYnGxkbC4TC5ubnMnDnzpL3XQw2cVSgUVFRUsG3bNiZNmoRGoxn5iQwhHA5TXV1Nc3Mzc+bMOaOHMJfLxYoVKwgEAnzwwQcjyn0XBhIBuyAIgiAMoaCgIBa0+3w+XnrppdOeOTRa0WPLli04HA7Ky8vPeBZSWZbZvXs3BQUFQ+Y5D4fJZKKiooKSkhIOHz7MwYMHqa6uJiMjg5ycnGHnGff39+PxeM6bVIfk5GQaGhqQZXlYb19kWaajo4PGxkba2tpISkpi8uTJpKWlDes+ONHA2dTUVOLj49mzZ8+oPCz5/X62bt2K1+tl0aJFZ1TBxW63c9lll6HVann33XdFNZgzJHLYBUEQBOEEcnJyWLNmDatXr+bLX/7yGeUtJyUlsXjxYrq7u1m7di0Oh+OM2nbkyBE8Hg8FBQVntB+IpHnk5eWxZMkS5s2bB8C6detYtWoV9fX1p6zn3tnZSUJCwnkz+U18fDzhcPik36Esy/T29lJXV8cHH3zA9u3bMZlMLFu2jHnz5pGRkXHGD20A5eXlNDY2nvH91N7ezscff4xSqWThwoVnFGA3Nzdz4YUXYjabeeedd0SwPgrOj79ZgiAIgnCaJk2axNq1a7nmmmtYtGgRb731FpMmTTqtfRkMBhYtWsSePXtYs2YNRUVFFBQUjDhwCwaD1NbWUlZWNqpBsiRJxMfHEx8fT1lZGS0tLbS0tFBXV4fBYMBms2Gz2UhISBjQs9zZ2Tkh8tfPFoVCQVJSEh0dHVit1tjyYDBIV1cXbW1ttLW1EQqFSE1NpaKigtTU1FEJ0I9nNpvJycmhurqauXPnjni8RSAQoLq6mpaWFsrLy8nKyjqjUqSbNm3iqquu4tJLL+XXv/71aQ9UFQYSAbsgCIIgnEJKSgorV67knnvuYebMmbz55pvMnTv3tPalVCopKysjLS2N7du309raSmVl5Yjye/fv34/BYCAjI+O02jAcarWa7OxssrOzCQQCdHZ20tbWxubNm4FIOobNZovlc+fn549ZWyaipKQk2tvbyczMpL29nba2Njo7O9FqtdhsNmbMmEFiYuKYBOnHKy4uZuXKlbS1tY2oPnxHRwfbt2/HbDazdOnS006tivrDH/7A17/+dZ5++mnuv//+cZmJ9bNKpMQIgiAI57Q1a9ZwxRVXkJ6ejiRJvPXWWwM+v/XWW5EkacDPBRdcMOLjaDQafvvb3/L973+f5cuX8/vf//6M2p2QkMCSJUtISkpizZo17Nu3b1gl+txuNwcOHDhpGcfRplarSU9PZ/r06VxyySXMnj0brVZLXV0d//d//0cwGKSvr4/+/v7TLoV5rgiHw9jtdtxuN52dnbz//vs0NjYSHx/PokWLWL58ORUVFSQnJ5+VYB0i92ZpaSk1NTWEQqFTrh8IBNixYwdbtmyhuLiYuXPnnlGwHgqFePjhh3nggQd48803eeCBB0bl3nQ6nTz44INkZ2ej1+uZN28eW7ZsOeP9notED7sgCIJwTuvv72fq1KncdtttXHPNNUOuc8kll/DKK6/Efj/dihqSJHHfffdRWlrKddddx65du/jZz3522mkpp9PbXlNTQ0ZGxrhNPCNJEomJiSQmJlJWVkZ1dTUdHR20trZSXV2NSqXCarUSFxcX+zEYDOPS23r8rKcjFQ6HcTqd9PX1Ybfb6evri+WKJycno1KpmDZt2pi+6Riu7OxsGhoaOHjwIIWFhSdcb7R71fv6+vjyl7/MoUOH2Lx580mPPVJf/epXqa6u5o9//CPp6em89tprLF++nNra2glxzc8mEbALgiAI57RLL72USy+99KTrRNMURsvy5cvZvHkzK1asoKamhr/85S9nFEBHe9ujue3FxcXk5+cP6qHt6uqio6ODZcuWneEZjB673U5ubi65ubmEQiEcDkcsuN2/fz8OhwOlUhkL3qPBvNFoHPMgfqj65SdybHAeDdDtdjuSJMXanZubS1xcHCaTCUmSqKqqwm63T4jgUZIkKioq2LRpE5mZmYMmsAoEAtTU1NDc3ExZWRnZ2dlnfP337dvHihUryM/PZ+PGjQPy+c+Ux+PhjTfe4B//+AeLFi0C4IknnuCtt97i17/+NT/+8Y9H7VjnAhGwC4IgCJ95q1atIiUlhbi4OBYvXsxPfvKTM57SvaCggI0bN3LDDTcwZ84c3n77bYqLi097f8f2tldVVcV6281mM/BpGceioqIJMJtoRDAYpKenh6lTpwKRc4gOWo2KVlOJBsEHDhzA4XCgUCgwGAzodDp0Oh1arTb252OXKZXK025ftG55ilGFy+XC6/Xi8/nwer2DftxuNwqFIvZAcXxwPpTk5GQOHDjA5MmTT7uNoykpKYnk5GTq6uqorKyMLe/o6GDHjh0YjcZR6VUHeP/997n++uu56667ePrpp8/oexpKMBgkFAoNutf1ej3r1q0b1WOdC0TALgij7I5XTy+/7uVbZ41ySwRBgEgP/LXXXhtLGXj88ce58MIL2bZt2xlXsLBYLPzjH//gscceY86cOfzlL3/hkksuOaN9JiQksHTpUurq6li9ejVFRUXk5+dz+PBhQqHQmMxqebp6enrQarUnLdunUChivetR0d5st9s9IIh2OByxANrn8wGR/Plo8K5QKFAoFLGxCFHbt29HkiRkWUaWZcLhMKFQKLafA8EgCoViwEOBVqvFZDKRlJSETqfDYDCcNDgfSnJyMlVVVfj9/lGbuOhMlZWV8fHHH5OTk4PBYKCuro7m5mYmT55MTk7OGfeqy7LMCy+8wGOPPcZLL73EV77ylVFq+UBms5m5c+fyox/9iNLSUlJTU/nzn//Mpk2bRjXt5lwhAnZBEAThM+3666+P/bm8vJyZM2eSnZ3Nv/71L66++uoz3r9SqeSZZ56hoqKCL37xizz55JN861vfOqPASKlUUl5eTnp6Ort27aKhoYFAIMD06dNHvSfzTETLOY70XKM92SdLoZBleUBvuM/niwXj0cA8GAwCkQcnlUqFJEmxgN4dCOMKSNgSzNgSLKjV6lFPwdHpdFgsFjo7OydEWgyA0WgkNzeXLVu24Pf7SUpKGrVedZ/Px9e//nXeffddPvroI2bPnj0KLT6xP/7xj9x+++1kZGSgVCqZPn06N9xwA1VVVWN63IlIBOyCIAjCeSUtLY3s7Gz2798/qvu94YYbKCws5KqrrmLXrl38+te/PuMgKSEhgcWLF7Nx40a6urqoq6sDIucwEUrmdXR0UFRUNCb7liQp1ht+IoFAgL1795Kfn49arR7wWXWzneZ2F4aQmqwx7P2OlrWcCAF7OBzm0KFDNDU1EQgEKCoqoqSkZFT23dLSwrXXXksgEGDr1q2kp6ePyn5PJj8/n9WrV9Pf34/D4SAtLY3rr7+e3NzcMT/2RCPKOgqCIAjnle7ubg4fPjyietXDNWvWLLZu3crBgweZOnXqqOTaulwuurq6WLhwIXl5eezatYu1a9fS1dU1Ci0+fT6fD4fDQVJS0ri240TSrDoKU02xPPaxEg3Yx5Msyxw+fJiVK1dy6NAhKisrmTZtGo2NjbG3EGey7z/+8Y+Ul5dTVFTE6tWrz0qwfiyj0UhaWhq9vb289957XHnllWf1+BOB6GEXBEEQzmkul4v6+vrY7w0NDezYsYOEhAQSEhJ44oknuOaaa0hLS+PQoUN873vfIykpiS984Qtj0p60tDRWrVrFCy+8wMUXX8xdd93FT37yk9Puba+pqSE7OzuWB56ZmcmBAwfYtGkTCQkJTJ48eVSrcwxXZ2cnVqt1ws5kmWjSnlYpxxEfJzERj8dDf3//SXP5x4Isy3R0dFBbW0sgEKCkpITMzMxYPv+hQ4eor68/7V72lpYW7r77brZu3cqrr77KihUrRvkMTu69995DlmWKi4upr6/n4Ycfpri4mNtuu+2stmMiED3sgiAIwjlt69atVFZWxqpifOtb36KyspIf/OAHKJVKdu/ezZVXXklRURG33HILRUVFfPLJJ7HqK2NBqVTyrW99i6qqKjZt2sS0adNYv379iPfT3t5OT0/PgIBLpVJRXFzM8uXLMZvNrFmzhm3bttHf3z+ap3BK0fz1851KpSIhIYGOjo6zetyenh7Wr19PVVUVWVlZLFu2jKysrFiqlCRJlJeXU19fj9vtHtG+j+1Vt1qt1NTUnPVgHSIlQ7/xjW9QUlLCzTffzIIFC3j//fcHpT+dD0QPuyAIgnBOW7JkyUln13zvvffOYmsGKi4uZu3atTz//PNcdNFF3H333fz4xz8eVm97OBymurqakpKSISuQaLVaysvLycvLY8+ePXz00UdkZ2dTXFw85r3esizT2dnJtGnTxvQ454poWszZyK12Op3U1dXR0dFBfn4+c+bMOWEAm5CQQHp6OrW1tcycOXNY+29tbeVrX/samzZt4pVXXhnX9JPrrruO6667btyOP5GIHnZBEARBGENKpZKHHnqIqqoqNm7cyLRp09iwYcMpt2toaECSJHJyck66nsFgYPr06SxevBiPx8MHH3zAzp07cTqdo3QGg7lcLnw+H4mJiWN2jHNJSkoKXV1dJ31wPBOyLNPV1cXmzZtZtWoVOp2O5cuXU1paesre5tLSUtra2uju7j7lMV5//XXKysowm83U1tael7niE5UI2AVBEAThLIj2tt9111187nOf46GHHsLj8Qy5rs/nY8+ePZSXlw+a7fRELBYLc+bMYcGCBYRCIVatWsWGDRtob28f9UCys7OThISECVVicjxFa8z39fWN6n5DoRCNjY2sXr2azZs3YzQaWbZsGVOmTBn25Fl6vZ6ioiJ27959wvugra2Nq666ioceeojf/e53vPbaayQkJIzmqQhnSATsgiAIgnCWKJVKvv3tb7Nt2zY2bNjAtGnT+OSTTwatt2fPHpKSkk5rNta4uDimT5/O5z73ORITE9m+fTsrV67k4MGDBAKB0TgNOjs7z3im2M8SSZJISkoatWoxHo+Huro63n//fQ4cOEBOTg4XXXQRZWVlpzV4OT8/n0AgQFNT04Dl0V71yZMnYzQaqamp4aqrrhqVcxBGl8hhFwRBEISzrKSkhHXr1vHcc8+xfPly7rnnHp566in0ej12u53Dhw+zZMmSMzqGTqejuLiYwsJCmpubOXjwILW1tWRkZJCdnU18fPxp1XIPh8N0dXVRXFx8Ru0ba90uH612L2lW3VmpFpOcnExLS8tp16UPh8O0t7fT1NREe3s7KSkpzJgx47QmpjqeUqmkrKyMXbt2kZ6ejlqtpq2tja9//ets2LCBl19+ecyqJgmjQwTsgiAIgjAOlEolDz/8MJdffjm33XYbpaWlPPnkk+Tk5JCbm4vJZBqV4ygUCjIzM8nMzKSvr4/GxkY++eQT9Ho92dnZZGZmDjmo9UT6+vpiM5VOZK12L/vbXQBnLWCvrq4mGAyiUg0/vHK73TQ2NsZ6v7Ozs6moqBiVmUmPlZaWFit5+v777/Pss8/y+c9/npqamglbS1/4lAjYBUEQBGEclZaWsmHDBv70pz/x2GOPoVQq+Y//+A8mT5486rOZRmu5l5WV0dLSQmNjI7W1tdhsNtLS0khJSTll8N7Z2UlSUtKEmGn1ZKITJo31xElRRqMRnU5Hd3c3qampJ13X4/HQ1tZGa2srXV1dpKamMnXqVFJTU8fsugaDQTZu3MjTTz9NYWEhb7/9NosXLx6TYwmjTwTsgiAIgjDOFAoFX/nKV7j22mv5zW9+w913380vfvELfvaznzF//vxRP55KpSIrK4usrCwcDgfNzc3s37+fqqoqEhMTsdls2Gy2IScC6uzsZNKkSaPeptF2tiZOipIkKVbe8fiAXZZl+vr6aG9vp62tDYfDQUJCAjabjcrKSvR6/Zi1KxwO87//+7889thjqNVq/ud//oerrrpqwj9wCQOJgF0QBEEQJgitVst9993HrbfeynPPPccll1zC0qVLefrppykvLx+TY1osFiwWC6Wlpbjdbtra2mhra6Ompgaj0RjrfY+PjycYDNLT08P06dPHpC3nuuTkZPbt2wdEKrx0dnbGgvRgMEhKSgr5+fmkpqaOKA3pdMiyzAcffMCjjz5KZ2cnTz75JDfffPOI0nWEiUN8a4IgCIIwwZjNZn74wx/y9a9/nZ/85CfMmjWL6667jqeeeors7OwxO67BYCAvL4+8vDwCgQCdnZ20trayceNGJEnCYrGg0WjGPNg8V5nNZhwOB5988gnd3d1otdpYL3pSUtKwS3SeqS1btvDoo4+yfft2vve97/GNb3xjTHvxhbEnAnZBmCDueHXLaW338q2zRrklgiBMFCkpKbzwwgs8+OCD/PCHP6SkpISvfe1rfP/73x/zgYJqtZr09HTS09MJh8P09vaye/duQqEQ//d//0diYmIsJz4uLg69Xn9epVnIsozL5aKvr4++vj56e3vp6+tDqVSiUqlYtGgRZrP5rF6TvXv38thjj/Hvf/+bBx54gDfeeCNWI144t4mAXRAEQRAmuNzcXP7whz/w7W9/m+9973vk5eXx8MMP881vfnPUqsmcjEKhIDExkXA4TGVlJRaLhY6ODvr6+ti7dy9OpxO1Wo3Vav1MBvGyLON0Ounr68Nut8f+K8ty7JxzcnJISUnhwIED+Hw+LBbLWWtfc3MzTz75JH/84x+55ZZb2L9/P+np6Wft+MLYEwG7IAiCIJwjpkyZwjvvvMOaNWt49NFHef7557nrrrv4xje+MeYDQT0eD06nk6SkJDQazYAHhVAohN1ujwWzJwrirVYrBoNhQgfx4XB4QM959LwArFYrVquV7Oxs4uLiMJlMg9JckpOT2b59O7Isj/l57ty5kxdeeIE///nPrFixgp07d552HXhhYhMBuyAIgiCcYxYtWsT69etZtWoVL7zwAvn5+XzhC1/ggQce4IILLhiTQLGzs5O4uLgh89eVSiUJCQkDprMPhUI4HI5Y4Ltv3z4cDgcQGVyr1WrR6XQDfo5dptVqRzXnOxQK4fV68fl8eL3eAT/HLvP7/SiVytiDRjQ4H256S2JiIn6/H5fLhdlsHrX2H3seb7/9Ni+88AKbN2/mpptuYuvWrZSVlY36sYSJQwTsgiAIgnAOkiSJpUuXsnTpUg4ePMiLL77IJZdcQnFxMQ888ADXXnvtqA4O7ezsJDk5edjrK5VK4uPjiY+Pjy0Lh8ODgmWv14vH46G3t3dA0AyfBvZarRalUokkSUiShEKhQJIkZFkGYNeuXUiSRDgcRpbl2E8wGIwF44FAAEmSBj0UGAwGEhISBj0wnO5Dj1KpJDExkc7OzlEN2Pv6+nj55Zd58cUXCYVCfOMb3+Dvf//7gIck4bNLBOyCIAiCcI7Ly8vjueee48knn+T3v/89Tz75JN/61re49dZb+epXv0phYeEZ7V+WZTo7O5k5c+YZ7UehUGAwGE45i2c4HB7Q6+3z+QYE49E/B4NBAHQ6HSqVKhbIR4N6hUIxIDjXarVnJR0nWo89Ly/vjPYjyzIbN27kN7/5Df/7v/9LZWUlzz77LF/4whdEecbzjPi2BUEQBOEzwmw2c++993LPPffw0Ucf8dvf/pby8nLmzZvHnXfeydVXX41ON/KZP51OJ8FgcEBv+VhSKBTo9fpTliIMBALU19dTVFSEWq0+K20bjmg99nA4fFppPT09Pfzxj3/kt7/9LUeOHOErX/kKGzZsYOrUqWPQWuFccHYKggqCIAiCcNYoFAqWL1/OX//6V44cOcLll1/Ok08+SUZGBg8++CBVVVWxdJLh6OzsJDExEaVSOYat/uywWq0oFAr6+vqGvU0gEGDlypXceOONpKen87e//Y1HHnmElpYWXnzxRRGsn+dEwC4IgiAIo2TNmjVcccUVpKenI0kSb7311gnXvfvuu5Ekieeff35M25ScnMxDDz3Enj17ePPNN+nu7mbx4sVkZ2fzjW98g3fffRefz3fSfYw0f/18J0kSycnJdHR0nHS9vr4+/vKXv3DjjTeSkpLCjTfeSGpqKlVVVaxdu5abb775lOlDZ+JU96ssyzzxxBOkp6ej1+tZsmQJNTU1Y9Ye4cRESowgnOPEhEuCMHH09/czdepUbrvtNq655poTrvfWW2+xadOms1orW5IkFi1axKJFi/D5fKxatYp//vOf3HXXXfT29nLxxRdzxRVXcNlllw2YlCkcDtPV1UVpaelZa+tnQXJyMk1NTZSUlAxYfvDgQf75z3/y9ttvs2bNGkpLS1mxYgXvvvsus2bNOmuzocKp79dnn32W5557jldffZWioiJ+/OMf87nPfY69e/eOSQUc4cREwC4IgiAIo+TSSy/l0ksvPek6zc3N3Hvvvbz33ntcdtllZ6llA2m1Wi6++GIuvvhifvnLX7Jz507++c9/8uKLL3LHHXdwwQUXsGLFClasWEFiYiIqleqsTgT0WZCcnMzOnTvx+Xxs376dt99+m7fffpt9+/axePFirrrqKl5++WVycnLGrY0nu19lWeb555/n+9//PldffTUAv//970lNTeVPf/oTd99999ls6nlPpMQIgiAIwlkSDoe56aabePjhhydM3WxJkpg2bRqPP/44W7ZsoampiZtvvpk1a9ZQWVnJ7Nmzee2111izZk2sKotwcv39/bz//vu89NJLZGZm8vnPf57Dhw/zgx/8gM7OTj744APuu+++cQ3WT6WhoYG2tjYuuuii2DKtVsvixYvZsGHDOLbs/CR62AVBEAThLPnZz36GSqXi/vvvH++mnFB6ejp33XUXd911F/39/Xz44Ye8/fbbXHfddXi9XqZPn86MGTNiPwUFBWc1jWOi8fv91NTUsG3bttjPzp07yc7O5oorruDRRx9l3rx551wZxra2NgBSU1MHLE9NTaWxsXE8mnReO7fuHkEQBEE4R23bto0XXniBqqqqs1ILfDQYjUauvPJKrrzySsLhMLt27YoFpc8//zw7d+5Eo9FQWVk5IIgvKir6TAbxfr+f3bt3s23bNqqqqti2bRu7du1Cp9PFHmS++c1vMmvWLAoKCsa7uaPi+HtVluVz5v79LBEBuyAIgiCcBWvXrqWjo4OsrKzYslAoxEMPPcTzzz/PoUOHxq9xw6BQKJg2bRrTpk3jjjvuACKlCGtra2NBfDQfXqVSDQriCwsLz6leZq/XS3V19YCe8927d2MwGGLB+UMPPcSMGTPIz8//zD2g2Gw2INLTnpaWFlve0dExqNddGHvnzt8cQRAEQTiH3XTTTSxfvnzAsosvvpibbrqJ2267bZxadWbUajVTp05l6tSp3H777UAkiK+rq4sFuf/1X//Fjh078Pv9pKSkkJaWFvtJT08f9GebzTamkyB5PB5aW1tpaWmhtbV10J+jv/f09BAXFxd74PjOd77DjBkzyMvLOy96mHNzc7HZbHzwwQdUVlYCkTcMq1ev5mc/+9k4t+78IwJ2QRA+c0SpS2G8uFwu6uvrY783NDSwY8cOEhISyMrKIjExccD6arUam81GcXHx2W7qmFGr1UyZMoUpU6bEHkSCwWAsKD4+UN66dWvs946ODmRZJikpaUAwb7FYUKlUA37UajWSJLFv3z52796NLMsEg0ECgQDBYDD209PTM+C4drsdlUqFzWYb8KCQn5/PggULBhzXZrN9poPzU92vDz74IE8//TSFhYUUFhby9NNPYzAYuOGGG8ax1ecnEbALwnlKBLWCMPq2bt3K0qVLY79/61vfAuCWW27h1VdfHadWjT+VSkVWVtaAdKChBINB2tvbB/V29/f3EwgE8Pl8sUA8Gpj7/X727NkTC+KPDeq1Wi2TJ09m2bJlA3ryExMTP3MpLKfjVPfrI488gsfj4Z577qG3t5c5c+bw/vvvixrs40CSRzI38XnM4XBgtVqx2+1npRbt6QZTgjDWzoWA/Wz//TkXrsnZ/n+YIAiCMHpED7sgCBOWeHAVBEEQhPMsYP/Vr37Fz3/+c1pbWykrK+P5559n4cKF490sQTiniFQaQRAEQTi7zpsErr/+9a88+OCDfP/732f79u0sXLiQSy+9lKampvFumiAIgiAIgiCc0HmTwz5nzhymT5/Or3/969iy0tJSrrrqKp555plTbi9y2AVBOJFz4e2ByGEXBEE4d50XKTF+v59t27bx6KOPDlh+0UUXsWHDhnFqlSAInxVikKsgCIIwls6LgL2rq4tQKDRoZq7U1FTa2tqG3Mbn8+Hz+WK/2+12INJLNVLfeH3biLcRBEE4kdP5/1B0m/PkpaogCMJnynkRsEcdP/mBLMsnnBDhmWee4cknnxy0PDMzc0zaJgiCMFyv3XP62zqdTqxW6+g1RjgnrVmzhp///Ods27aN1tZW3nzzTa666qrY50888QR/+ctfOHz4MBqNhhkzZvCTn/yEOXPmjF+jzzGnusZ///vf+e///m+2bdtGd3c327dvZ9q0aePWXmFiOy8C9qSkJJRK5aDe9I6OjkG97lHf/e53YxMIAITDYXp6ekhMTBy3Wc8cDgeZmZkcPnz4nMxBPdfbD+f+OZzr7Ydz/xzGq/2yLON0OklPTz9rxxQmrv7+fqZOncptt93GNddcM+jzoqIiXnzxRfLy8vB4PPznf/4nF110EfX19SQnJ49Di889p7rG/f39zJ8/n2uvvZY777xzHFoonEvOi4A92jvwwQcf8IUvfCG2/IMPPuDKK68cchutVotWqx2wLC4ubiybOWwWi+WcDFSizvX2w7l/Dud6++HcP4fxaL/oWReiLr30Ui699NITfn781PPPPfccL7/8Mrt27WLZsmVj3bzPhFNd45tuugmAQ4cOnaUWCeey8yJgh8h0uzfddBMzZ85k7ty5/OY3v6GpqYmvfe1r4900QRAEQZiw/H4/v/nNb7BarUydOnW8myMI56XzJmC//vrr6e7u5qmnnqK1tZXy8nL+/e9/k52dPd5NEwRBEIQJ55133uFLX/oSbrebtLQ0PvjgA5KSksa7WYJwXjpvJk4CuOeeezh06BA+n49t27axaNGi8W7SiGi1Wn74wx8OStU5V5zr7Ydz/xzO9fbDuX8O53r7hfPH0qVL2bFjBxs2bOCSSy7huuuuo6OjY7ybJQjnpfNm4iRBEARBEAaTJGlQBZOhFBYWcvvtt/Pd73737DTsGCeruBIIBHjsscf497//zcGDB7FarSxfvpyf/vSnE2aQ9cmu8aFDh8jNzRVVYoSTOq962AVBEARBOD2yLA+Yn+RsilZcefHFFwd95na7qaqq4vHHH6eqqoq///3v7Nu3jxUrVoxDSwVhbJw3OeyCIAiCIES4XC7q6+tjvzc0NLBjxw4SEhJITEzkJz/5CStWrCAtLY3u7m5+9atfceTIEa699tpxae/JKq5YrVY++OCDAct++ctfMnv2bJqamsjKyjobTRzkZNc4KyuLnp4empqaaGlpAWDv3r0A2Gw2bDbbuLRZmLhED7sgCIIgnGe2bt1KZWUllZWVQKSSWmVlJT/4wQ9QKpXs2bOHa665hqKiIi6//HI6OztZu3YtZWVl49zy4bHb7UiSNK7lmE92jQHefvttKisrueyyywD40pe+RGVlJS+99NK4tVmYuEQOuyAIgiAI54xT5dx7vV4WLFhASUkJr7322tltnCCMEdHDPsE88cQTSJI04OfYV2OyLPPEE0+Qnp6OXq9nyZIl1NTUjGOLB8vJyRl0DpIk8Y1vfAOAW2+9ddBnF1xwwbi1d82aNVxxxRWkp6cjSRJvvfXWgM+Hc819Ph/33XcfSUlJGI1GVqxYwZEjRybEOQQCAb7zne9QUVGB0WgkPT2dm2++OfYaNmrJkiWDvpcvfelL495+GN49M57fwanaP9TfB0mS+PnPfx5bZzyvvyB8VgQCAb70pS8RDof51a9+Nd7NEYRRIwL2CaisrIzW1tbYz+7du2OfPfvsszz33HO8+OKLbNmyBZvNxuc+9zmcTuc4tnigLVu2DGh/NLfw2NzHSy65ZMA6//73v8eruScdzATDu+YPPvggb775Jn/5y19Yt24dLpeLyy+/nFAoNO7nMJIBWXfeeeeA7+W///u/z0bzT/kdwKnvmfH8Dk7V/mPb3drayu9+9zskSRo0Xfl4XX9B+CwIBAJcd911NDQ08MEHH5zTMyELwiCyMKH88Ic/lKdOnTrkZ+FwWLbZbPJPf/rT2DKv1ytbrVb5pZdeOkstHLkHHnhAzs/Pl8PhsCzLsnzLLbfIV1555fg26gQA+c0334z9Ppxr3tfXJ6vVavkvf/lLbJ3m5mZZoVDI77777llre9Tx5zCUzZs3y4Dc2NgYW7Z48WL5gQceGNvGDcNQ7T/VPTORvoPhXP8rr7xSvvDCCwcsmyjXXxAmuqH+jvn9fvmqq66Sy8rK5I6OjvFpmCCMIdHDPgHt37+f9PR0cnNz+dKXvsTBgweByAjztrY2Lrrooti6Wq2WxYsXs2HDhvFq7kn5/X5ee+01br/9diRJii1ftWoVKSkpFBUVceedd07YyTiGc823bdtGIBAYsE56ejrl5eUT9ns50YCs119/naSkJMrKyvj2t789od7cnOyeOZe+g/b2dv71r39xxx13DPpsIl9/QRhPLpeLHTt2sGPHDuDTiitNTU0Eg0G++MUvsnXrVl5//XVCoRBtbW20tbXh9/vHt+GCMEpEWccJZs6cOfzhD3+gqKiI9vZ2fvzjHzNv3jxqampoa2sDIDU1dcA2qampNDY2jkdzT+mtt96ir6+PW2+9Nbbs0ksv5dprryU7O5uGhgYef/xxLrzwQrZt2zbhZn8czjVva2tDo9EQHx8/aJ3o9hOJ1+vl0Ucf5YYbbhjwyvjGG28kNzcXm81GdXU13/3ud9m5c+egcmnj4VT3zLn0Hfz+97/HbDZz9dVXD1g+ka+/IIy3rVu3snTp0tjv3/rWtwC45ZZbeOKJJ3j77bcBBk089PHHH7NkyZKz1UxBGDMiYJ9gjq0zW1FRwdy5c8nPz+f3v/99bJDdsT3VEBkUefyyieLll1/m0ksvHTDb3PXXXx/7c3l5OTNnziQ7O5t//etfg4KYieJ0rvlE/F5ONiDrzjvvjP25vLycwsJCZs6cSVVVFdOnTz/bTR3gdO+Zifgd/O53v+PGG29Ep9MNWD6Rr78gjLclS5Ygn6So3ck+E4TPApESM8EZjUYqKirYv39/rFrM8T2GHR0dg3qAJ4LGxkY+/PBDvvrVr550vbS0NLKzs9m/f/9ZatnwDeea22w2/H4/vb29J1xnIhjpgKzp06ejVqsn5Pdy/D1zrnwHa9euZe/evaf8OwET+/oLgiAIZ5cI2Cc4n89HXV0daWlpsdflx74i9/v9rF69mnnz5o1jK4f2yiuvkJKSEpsU4kS6u7s5fPgwaWlpZ6llwzecaz5jxgzUavWAdVpbW6murp4w30s0WN+/fz8ffvghiYmJp9ympqaGQCAwIb+X4++Zc+E7gMgbpxkzZjB16tRTrjuRr78gCIJwdomUmAnm29/+NldccQVZWVl0dHTw4x//GIfDwS233IIkSTz44IM8/fTTFBYWUlhYyNNPP43BYOCGG24Y76YPEA6HeeWVV7jllltQqT69zVwuF0888QTXXHMNaWlpHDp0iO9973skJSXxhS98YVzaeqrpo091za1WK3fccQcPPfQQiYmJJCQk8O1vf5uKigqWL18+7ueQnp7OF7/4RaqqqnjnnXdiA7IAEhIS0Gg0HDhwgNdff53Pf/7zJCUlUVtby0MPPURlZSXz588f1/YnJCSc8p4Z7+/gVPcQgMPh4P/9v//HL37xi0Hbj/f1FwRBECa48SxRIwx2/fXXy2lpabJarZbT09Plq6++Wq6pqYl9Hg6H5R/+8IeyzWaTtVqtvGjRInn37t3j2OKhvffeezIg7927d8Byt9stX3TRRXJycrKsVqvlrKws+ZZbbpGbmprGqaWy/PHHH8vAoJ9bbrlFluXhXXOPxyPfe++9ckJCgqzX6+XLL7/8rJ7Tyc6hoaFhyM8A+eOPP5ZlWZabmprkRYsWyQkJCbJGo5Hz8/Pl+++/X+7u7h739g/3nhnP7+BU95Asy/J///d/y3q9Xu7r6xu0/Xhff0EQBGFik2RZjNQQBEEQBEEQhIlK5LALgiAIgiAIwgQmAnZBEARBEARBmMBEwC4IgiAIwmfSb37zGzIzM1EoFDz//PPj3RxBOG0iYBcEQRAE4YRuvfVWrrrqqkHLV61ahSRJ9PX1nfU2DYfD4eDee+/lO9/5Ds3Nzdx1111DridJUuzHaDRSWFjIrbfeyrZt285yiwXhxETALgiCIAjChBUIBE5ru6amJgKBAJdddhlpaWkYDIYTrvvKK6/Q2tpKTU0N//Vf/4XL5WLOnDn84Q9/ON1mC8KoEgG7IAiCIAij4o033qCsrAytVktOTs6geQckSeKtt94asCwuLo5XX30VgEOHDiFJEv/7v//LkiVL0Ol0vPbaa0Meq6mpiSuvvBKTyYTFYuG6666jvb0dgFdffZWKigoA8vLykCSJQ4cOnbDdcXFx2Gw2cnJyuOiii/jb3/7GjTfeyL333hubQbm7u5svf/nLTJo0CYPBQEVFBX/+859j+/jDH/5AYmIiPp9vwL6vueYabr755lNeO0E4GRGwC4IgCIJwxrZt28Z1113Hl770JXbv3s0TTzzB448/HgvGR+I73/kO999/P3V1dVx88cWDPpdlmauuuoqenh5Wr17NBx98wIEDB7j++usBuP766/nwww8B2Lx5M62trWRmZo6oDd/85jdxOp2xGZS9Xi8zZszgnXfeobq6mrvuuoubbrqJTZs2AXDttdcSCoV4++23Y/vo6urinXfe4bbbbhvxNRCEY4mZTgXhM+zll1/mr3/9K++//z4QyUXt6+sb1MN1Nrzzzjs8/vjjbNu2DYVC9BUIwrnknXfewWQyDVgWCoUG/P7cc8+xbNkyHn/8cQCKioqora3l5z//ObfeeuuIjvfggw9y9dVXn/DzDz/8kF27dtHQ0BALxP/4xz9SVlbGli1bmDVrFomJiQAkJydjs9lGdHyAkpISgFjPfEZGBt/+9rdjn9933328++67/L//9/+YM2cOer2eG264gVdeeYVrr70WgNdff51JkyaxZMmSER9fEI4l/tUUJqyJMNDpiSeeYNq0acNaLzpoSaFQkJ6ezo033sjhw4fH5HjD4fP5+MEPfhD7x3O8XX755UiSxJ/+9KfxboogCCO0dOlSduzYMeDnf/7nfwasU1dXx/z58wcsmz9/Pvv37x8U3J/KzJkzT/p5XV0dmZmZA3rNJ0+eTFxcHHV1dSM61olE55WUJAmIPKD85Cc/YcqUKSQmJmIymXj//fdpamqKbXPnnXfy/vvv09zcDERy42+99dbYPgThdImAXRCGIMsywWBwRNuUlZXR2trKkSNH+Otf/8ru3bu57rrrxqiFp/bGG29gMplYuHDhuLXheLfddhu//OUvx7sZgiCMkNFopKCgYMBPRkbGgHVkWR4UmB4/mbokSYOWDTWo1Gg0nrQ9Qx3rZMtPRzTwz83NBeAXv/gF//mf/8kjjzzCRx99xI4dO7j44ovx+/2xbSorK5k6dSp/+MMfqKqqYvfu3SN+uyAIQxEBu/CZsGHDBhYtWoReryczM5P777+f/v7+2OevvfYaM2fOxGw2Y7PZuOGGG+jo6Ih9Hu21f++995g5cyZarZY//vGPPPnkk+zcuTPWe36yXEyVSoXNZiM9PZ2FCxdy5513snHjRhwOR2yd73znOxQVFWEwGMjLy+Pxxx+P/WP16quvnvB4drudu+66i5SUFCwWCxdeeCE7d+486TX5y1/+wooVK4b87Mknn4zt6+677x7wD86SJUu49957uffee4mLiyMxMZHHHntswD+yOTk5/PjHP+bmm2/GZDKRnZ3NP/7xDzo7O2ODwCoqKti6deuA465YsYLNmzdz8ODBk7ZdEIRzz+TJk1m3bt2AZRs2bKCoqAilUglE0lNaW1tjn+/fvx+3231ax2pqahrwFrO2tha73U5paelpnsFAzz//PBaLheXLlwOwdu1arrzySr7yla8wdepU8vLy2L9//6DtvvrVr/LKK6/wu9/9juXLl484d14QhiICduGct3v3bi6++GKuvvpqdu3axV//+lfWrVvHvffeG1vH7/fzox/9iJ07d/LWW2/R0NAwZK/HI488wjPPPENdXR0XXXQRDz30UKznvLW1NTag6VTa2tr4+9//jlKpjP1DBWA2m3n11Vepra3lhRde4Le//S3/+Z//CUQGSQ11PFmWueyyy2hra+Pf//4327ZtY/r06Sxbtoyenp4TtmHt2rVDvlZeuXIldXV1fPzxx/z5z3/mzTff5Mknnxywzu////buNaTJ/o0D+FfzyJaGoWGEkzzlAnUG0Yg8lMwgygcsEaYbGGnhIcwXEmkaElgWikoSvajooKBQChkmdpJ0ijojMkptHhJHmSYpM8hd/xey0d08TJ/nTzOuD+zF/TtvL26u3ffvcPs2HBwc0NHRgfLycpSWllq8/i4tLcXevXuh1Wpx6NAhJCcnQ6VSISkpCT09PfD394dKpRIE+hKJBF5eXmhtbbXqd2SMrR85OTloaWlBUVERPnz4gNu3b6OyslIw73v//v2orKxET08Purq6cPLkSTg6Oq66r5iYGISEhECpVKKnpwednZ1QqVSIjIxccTrNYr59+wa9Xo/h4WE0Nzfj6NGjuH//PqqqqrBp0yYAgL+/P5qbm9HW1oZ3794hLS0Ner3eoi2lUomxsTHcuHEDKSkpqx4LY4sixmyUWq2mDRs2kEgkEnxcXFwIAE1NTRERUXJyMqWmpgrqtra2kr29PRkMhkXb7uzsJAD0/ft3IiJ69uwZAaCHDx8KyhUUFFBoaOiKYy0oKCB7e3sSiUTk6upKAAgAZWVlLVvv8uXLtGvXrmX7a2lpITc3N5qbmxOk+/n50fXr1xdtd2pqigDQy5cvBelqtZo8PDxodnbWnFZVVUVisZjm5+eJiCgyMpKCg4PJaDSay+Tm5lJwcLD5WiKRUFJSkvl6fHycAFB+fr45rb29nQDQ+Pi4YAwymYwKCwsXHTdjzPao1WqKi4uzSDfdN033YiKiuro6kkql5OjoSD4+PlRSUiKoMzY2RgqFgkQiEQUEBFBjYyO5u7vTzZs3iYhIp9MRANJqtSuOa3h4mI4cOUIikYg2btxIx44dI71eb87XarUEgHQ63bLtmO7XAMjFxYX8/PxIrVZTd3e3oNzXr18pLi6OxGIxeXl5UV5eHqlUqkV/m+TkZPLw8LC4bzO2VrxLDLNp0dHRqKqqEqR1dHQgKSnJfN3d3Y2BgQHcu3fPnEZEMBqN0Ol0CA4OhlarRWFhIXp7ezE5OQmj0QhgYR9fqVRqrreWJzMmQUFBaGhowI8fP1BfX4/a2lpcvHhRUKaurg5lZWUYGBjAzMwMfv78CTc3t2Xb7e7uxszMjHnHAxODwYDBwcFF6xgMBgCAi4uLRV5oaKjgABG5XI6ZmRmMjo5CIpEAAPbs2SOYByqXy3H16lXMz8+b3xiEhISY87ds2QIA5n2Pf037/PmzYIcGV1fXNb0CZ4z9GUtNBYyKirKYjx4fH4/4+Pgl29q6dSuampoEab9uIODr62vR5lJ8fHxQX1+/ZH5YWJhVbVnbn4eHh9U7bI2Pj0OpVMLZ2dmq8oythAN2ZtNMC51+9enTJ8G10WhEWloasrKyLOr7+PhgdnYWCoUCCoUCd+/ehaenJ0ZGRiwWC5n6WysnJyfzWHfu3In+/n6cOnUKd+7cAQBoNBokJibiwoULiI2Nhbu7O2pqaiwOFvmd0WiEt7c3nj9/bpFnelX7u82bN8POzs584Ic1VrtQ69fX2Ka6i6WZ/hyZTE5OwtPTc1V9McbYejA5OYknT57g6dOnqKys/NPDYX8RDtjZuhceHo63b99aBPYmb968wcTEBIqLi82Lf35fDLkUJyenVW9HZpKfn4/AwEBkZ2cjPDwcr169gkQiwblz58xlhoeHV+w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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(8, 4))\n", + "gs = fig.add_gridspec(nrows=1, ncols=2, width_ratios=(1, 1), height_ratios=(1,),\n", + " left=0.1, right=0.9, bottom=0.1, top=0.9,\n", + " wspace=0.1, hspace=0.05)\n", + "\n", + "hist_ax = fig.add_subplot(gs[0, 0])\n", + "circadian_ax = fig.add_subplot(gs[0, 1], projection = \"polar\")\n", + "\n", + "ax = circadian_ax\n", + "ax.scatter(theta, r, 1, alpha = 0.2)\n", + "ax.set(xticks = np.linspace(0,2*np.pi,24,endpoint=False), xticklabels = range(0,24))\n", + "ax.grid(True)\n", + "ax.set(xlabel = \"Hour of Day\", ylabel = \"Heart Rate (bpm)\")\n", + "ax.set_theta_direction(\"clockwise\")\n", + "ax.set_theta_zero_location(\"N\")\n", + "\n", + "ax = hist_ax\n", + "ax.hist(hr, bins = 20, alpha = 0.7);\n", + "ax.set(xlabel = \"Heart Rate (bpm)\", ylabel = \"Frequency Density\")" ] }, { "cell_type": "code", "execution_count": null, - "id": 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