diff --git a/CHANGELOG.rst b/CHANGELOG.rst index b7179b021..dcc1034a6 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -4,7 +4,9 @@ Changelog Development *********** -... +- Add StationsResult and ValuesResult to allow for new workflow and connect stations and + values request +- Add accessor .values to Stations class to get straight to values for a request 0.14.1 (21.02.2021) ******************* diff --git a/README.rst b/README.rst index a4c473263..905123839 100644 --- a/README.rst +++ b/README.rst @@ -211,23 +211,17 @@ Acquisition of historical data for specific stations using ``wetterdienst`` as l .. code-block:: python - >>> from wetterdienst.dwd.observations import ( - ... DWDObservationValues, - ... DWDObservationParameterSet, - ... DWDObservationPeriod, - ... DWDObservationResolution - ... ) - >>> observations = DWDObservationValues( - ... station_id=[1048,4411], - ... parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY, - ... DWDObservationParameterSet.SOLAR], - ... resolution=DWDObservationResolution.DAILY, + >>> from wetterdienst.dwd.observations import DWDObservationStations + >>> request = DWDObservationStations( + ... parameter=["climate_summary"], + ... resolution="daily", ... start_date="1990-01-01", # Timezone: UTC ... end_date="2020-01-01", # Timezone: UTC ... tidy_data=True, # default ... humanize_parameters=True, # default - ... ) - >>> df = observations.all() + ... ).filter(station_id=[1048, 4411]) + >>> stations = request.df # station list + >>> values = request.values.all().df # values Receiving of stations for defined parameters using the ``wetterdienst`` client: diff --git a/docs/usage/api.rst b/docs/usage/api.rst index fe63b9310..a8197a458 100644 --- a/docs/usage/api.rst +++ b/docs/usage/api.rst @@ -114,9 +114,9 @@ Get station information for a given *parameter/parameter_set*, *resolution* and parameter=DWDObservationParameterSet.PRECIPITATION_MORE, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.HISTORICAL - ) + ).all() - df = stations.all() + df = stations.df print(df.head()) @@ -125,35 +125,34 @@ The function returns a Pandas DataFrame with information about the available sta Values ------ -Use the ``DWDObservationValues`` class in order to get hold of values. +Use the ``DWDObservationStations`` class in order to get hold of stations. .. ipython:: python - from wetterdienst.dwd.observations import DWDObservationValues, DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution + from wetterdienst.dwd.observations import DWDObservationStations, DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution - observations = DWDObservationValues( - station_id=[3, 1048], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY, DWDObservationParameterSet.SOLAR], resolution=DWDObservationResolution.DAILY, start_date="1990-01-01", end_date="2020-01-01", tidy_data=True, humanize_parameters=True, - ) + ).filter(station_id=[3, 1048]) -Query data by station: +From here you can query data by station: .. ipython:: python - for result in observations.query(): + for result in request.values.query(): # analyse the station here - print(result.data.dropna().head()) + print(result.df.dropna().head()) Query data all together: .. ipython:: python - df = observations.all().dropna() + df = request.values.all().df.dropna() print(df.head()) This gives us the most options to work with the data, getting multiple parameters at @@ -186,7 +185,7 @@ Inquire the list of stations by geographic coordinates. latitude=50.0, longitude=8.9, max_distance_in_km=30 - ) + ).df print(df.head()) @@ -194,37 +193,33 @@ Inquire the list of stations by geographic coordinates. latitude=50.0, longitude=8.9, number=5 - ) + ).df print(df.head()) -The function returns a DataFrame with the list of stations with distances [in km] -to the given coordinates. - -The station ids within the DataFrame: - -.. ipython:: python - - station_ids = df.STATION_ID.unique() +The function returns a StationsResult with the list of stations being filtered for +distances [in km] to the given coordinates. -can be used to download the observation data: +Again from here we can jump to the corresponding data: .. ipython:: python - observations = DWDObservationValues( - station_id=station_ids, - parameter=[DWDObservationParameterSet.TEMPERATURE_AIR, DWDObservationParameterSet.SOLAR], + stations = DWDObservationStations( + parameter=DWDObservationParameterSet.TEMPERATURE_AIR, resolution=DWDObservationResolution.HOURLY, - start_date="1990-01-01", - end_date="2020-01-01", - tidy_data=True, - humanize_parameters=True, + period=DWDObservationPeriod.RECENT, + start_date=datetime(2020, 1, 1), + end_date=datetime(2020, 1, 20) + ).nearby_radius( + latitude=50.0, + longitude=8.9, + max_distance_in_km=30 ) - for result in observations.query(): + for result in stations.values.query(): # analyse the station here - print(result.data.dropna().head()) + print(result.df.dropna().head()) Et voila: We just got the data we wanted for our location and are ready to analyse the temperature on historical developments. @@ -240,19 +235,18 @@ The result data is provided through a virtual table called ``data``. .. code-block:: python - from wetterdienst.dwd.observations import DWDObservationValues, DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution + from wetterdienst.dwd.observations import DWDObservationStations, DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution - observations = DWDObservationValues( - station_id=[1048], + stations = DWDObservationStations( parameter=[DWDObservationParameterSet.TEMPERATURE_AIR], resolution=DWDObservationResolution.HOURLY, start_date="2019-01-01", end_date="2020-01-01", tidy_data=True, humanize_parameters=True, - ) + ).filter(station_id=[1048]) - df = observations.all().dwd.lower() + df = stations.values.all().df.dwd.lower() df = df.io.sql("SELECT * FROM data WHERE parameter='temperature_air_200' AND value < -7.0;") print(df.head()) @@ -271,20 +265,19 @@ Examples: .. code-block:: python - from wetterdienst.dwd.observations import DWDObservationValues, DWDObservationParameterSet, + from wetterdienst.dwd.observations import DWDObservationStations, DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution, StorageAdapter - observations = DWDObservationValues( - station_id=[1048], + stations = DWDObservationStations( parameter=[DWDObservationParameterSet.TEMPERATURE_AIR], resolution=DWDObservationResolution.HOURLY, start_date="2019-01-01", end_date="2020-01-01", tidy_data=True, humanize_parameters=True, - ) + ).filter(station_id=[1048]) - df = observations.all().dwd.lower() + df = stations.values.all().df.dwd.lower() df.io.export("influxdb://localhost/?database=dwd&table=weather") Mosmix @@ -296,9 +289,9 @@ Get stations for Mosmix: from wetterdienst.dwd.forecasts import DWDMosmixStations - stations = DWDMosmixStations() + stations = DWDMosmixStations(mosmix_type="large") # actually same for small and large - print(stations.all().head()) + print(stations.all().df.head()) Mosmix forecasts require us to define ``station_ids`` and ``mosmix_type``. Furthermore we can also define explicitly the requested parameters. @@ -307,16 +300,15 @@ Get Mosmix-L data: .. ipython:: python - from wetterdienst.dwd.forecasts import DWDMosmixValues, DWDMosmixType + from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType - mosmix = DWDMosmixValues( - station_id=["01001", "01008"], + stations = DWDMosmixStations( mosmix_type=DWDMosmixType.LARGE - ) - response = next(mosmix.query()) + ).filter(station_id=["01001", "01008"]) + response = next(stations.values.query()) - print(response.metadata) - print(response.data) + print(response.stations.df) + print(response.df) Radar ===== diff --git a/docs/usage/code_snippets.rst b/docs/usage/code_snippets.rst index c50e8a35e..09d41bf1a 100644 --- a/docs/usage/code_snippets.rst +++ b/docs/usage/code_snippets.rst @@ -44,7 +44,7 @@ Get stations for daily historical precipitation: period=DWDObservationPeriod.HISTORICAL ) - print(stations.all().head()) + print(stations.all().df.head()) @@ -52,31 +52,29 @@ Get data for a parameter set: .. ipython:: python - from wetterdienst.dwd.observations import DWDObservationValues, DWDObservationParameterSet, DWDObservationResolution, DWDObservationPeriod + from wetterdienst.dwd.observations import DWDObservationStations, DWDObservationParameterSet, DWDObservationResolution, DWDObservationPeriod - observation_data = DWDObservationValues( - station_id=stations.all().STATION_ID[0], + stations = DWDObservationStations( parameter=DWDObservationParameterSet.PRECIPITATION_MORE, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.HISTORICAL ) - print(observation_data.all().head()) + print(next(stations.all().values.query())) Get data for a parameter: .. ipython:: python - from wetterdienst.dwd.observations import DWDObservationValues, DWDObservationParameter, DWDObservationResolution, DWDObservationPeriod + from wetterdienst.dwd.observations import DWDObservationStations, DWDObservationParameter, DWDObservationResolution, DWDObservationPeriod - observation_data = DWDObservationValues( - station_id=stations.all().STATION_ID[0], + observation_data = DWDObservationStations( parameter=DWDObservationParameter.DAILY.PRECIPITATION_HEIGHT, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.HISTORICAL ) - print(observation_data.all().head()) + print(next(stations.all().values.query())) Mosmix ------ @@ -87,19 +85,18 @@ Get stations for Mosmix: from wetterdienst.dwd.forecasts import DWDMosmixStations - stations = DWDMosmixStations() + stations = DWDMosmixStations(mosmix_type="large") - print(stations.all().head()) + print(stations.all().df.head()) Get data for Mosmix-L: .. ipython:: python - from wetterdienst.dwd.forecasts import DWDMosmixValues, DWDMosmixType + from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType - forecast_data = DWDMosmixValues( - station_id=stations.all().STATION_ID[0], + stations = DWDMosmixStations( mosmix_type=DWDMosmixType.LARGE ) - print(forecast_data.all().head()) + print(stations.all().values.all().df.head()) diff --git a/example/climate_observations.ipynb b/example/climate_observations.ipynb index 27b26511d..48efad7ff 100644 --- a/example/climate_observations.ipynb +++ b/example/climate_observations.ipynb @@ -35,8 +35,7 @@ "warnings.filterwarnings(\"ignore\")\n", "\n", "from wetterdienst.dwd.observations import DWDObservationMetadata, DWDObservationStations, \\\n", - " DWDObservationValues, DWDObservationPeriod, DWDObservationResolution, \\\n", - " DWDObservationParameter, DWDObservationParameterSet\n", + " DWDObservationPeriod, DWDObservationResolution, DWDObservationParameter, DWDObservationParameterSet\n", "\n", "%matplotlib inline\n", "import matplotlib as mpl\n", @@ -114,7 +113,7 @@ "Number of stations with available data: STATION_ID 0000100002000030000400006000070000800009000100...\n", "HEIGHT 1.61506e+06\n", "LATITUDE 285395\n", - "LONGITUDE 58625.6\n", + "LONGITUDE 58625.7\n", "STATION_NAME AachAachen (Kläranlage)AachenAachen-BrandAalen...\n", "STATE Baden-WürttembergNordrhein-WestfalenNordrhein-...\n", "dtype: object\n", @@ -123,8 +122,8 @@ }, { "data": { - "text/plain": " STATION_ID FROM_DATE TO_DATE HEIGHT \\\n0 00001 1912-01-01 00:00:00+00:00 1986-06-30 00:00:00+00:00 478.0 \n1 00002 1951-01-01 00:00:00+00:00 2006-12-31 00:00:00+00:00 138.0 \n2 00003 1891-01-01 00:00:00+00:00 2011-03-31 00:00:00+00:00 202.0 \n3 00004 1951-01-01 00:00:00+00:00 1979-10-31 00:00:00+00:00 243.0 \n4 00006 1982-11-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 455.0 \n\n LATITUDE LONGITUDE STATION_NAME STATE \n0 47.8413 8.8493 Aach Baden-Württemberg \n1 50.8066 6.0996 Aachen (Kläranlage) Nordrhein-Westfalen \n2 50.7827 6.0941 Aachen Nordrhein-Westfalen \n3 50.7683 6.1207 Aachen-Brand Nordrhein-Westfalen \n4 48.8361 10.0598 Aalen-Unterrombach Baden-Württemberg ", - "text/html": "
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" }, "execution_count": 3, "metadata": {}, @@ -132,14 +131,14 @@ } ], "source": [ - "sites_hdp = DWDObservationStations(\n", + "request = DWDObservationStations(\n", " parameter=DWDObservationParameterSet.PRECIPITATION_MORE,\n", " resolution=DWDObservationResolution.DAILY,\n", " period=DWDObservationPeriod.HISTORICAL\n", ")\n", - "print(\"Number of stations with available data: \", sites_hdp.all().sum())\n", + "print(\"Number of stations with available data: \", request.all().df.sum())\n", "print(\"Some of the stations:\")\n", - "sites_hdp.all().head()" + "request.all().df.head()" ] }, { @@ -163,7 +162,7 @@ { "data": { "text/plain": "
", - "image/png": 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ZzUp6NNG+OcDQZK5h/HV43PfS7mpjRKurGYNWe/G5/92pl3qp15O/lIVK8W8hPRAiH+0yaw8MkVLek1LeR6uZ1jGZdlWAAGCElNIqpdyCVnuvbaI2y6WUu6WUTplyweQ5UspTrjk1Aa5KKWdLKe1SyiNoBWhTipfqipb/6ozr+OFo1prExYi/l1KGSSlj0QoipwKKoD34z0gp7zziWiTmFeCClPJX19wWoBUffvURx0yUUt6WUoYBK4Eyru0fAdOllPullA4p5Vy0Yr9VkunjTWC4lDJcSnkTmPgXxnkkQnPDvg30lVJGSimvAmNI/n4nhw3ICuSWmqVzp5QyxRwyUspZrnEsaOK4tPCsP/goHve9tLn226SUa4AonlKZGYVC8f9DCSrFv4VQIMNj4omyodVgi+eaa1ty7W5Iz6SE14DsiT7f4PEkbpMbqOxyIT0QQjxAe5CmFBCdG5iQqG0YmuUp2Tm4RN9kYApwTwgxQwiRuNDxo0h6XcD7fJOSeGVcDJoAjZ93ryTnmZNHXOdEn5O7pimN8zgyoFl0kt7vR51TYkajWQg3CCEuCyG+Tqmh0IpXjxBCXBJaXb2riebwJDzuexma5IfCX7kOCoXiBUEJKsW/hb1olpDXH9HmNtoDP55crm3JtcspPAPJcwG3En1+koy3idvcALZLKdMkegVIKT9O4dgbaHXQErf3lVLuSdTGYw5SyolSyvJoWaoLAV89wbzA+7qA9/k+KTeAYUnm7eeyeiXlDpqrL56cf2Gcx13/EDTLTtL7/UTn5LI29ZJS5gNaAF8IIeqnMHY7NBdtAzTXbh7XdvGEc33S76VCofgXowSV4l+BlPIhWmD3FCHE60IIPyGEUQjRVAgxytVsATBACJFRCJHB1X5eMt3tR7MC9Hb1UQfN/bXwH0xxFVBICNHR1adRCFFRCFE0hfY/An0TBTenFkKkmE7B1VdlIYQRiAbigJTKfgQD+RJ9XuOaWzshhEEI8RaaKFv1104RgJ+Arq65CCGEvxDiFSFEqmTaLkI7x7RCiOxAt78wTjCQPiW3mpTS4ep/mBAilctV+gXJ328vXIH1BYQQAi1ezkHC9Ux6/VKhiflQwA/NPZt0rvlImSf9XioUin8xSlAp/jVIKcegPTQHAPfRrCXdgGWuJkOBg2jBzyeAw65tSfuxogmopmiWjqnAO1LKs/9gbpFAI7S4nttorqyRaEHMybVf6tq/0OVGOumaT0oEoomZcDSXUSia2yo5JgCtXavrJkopQ4HmaHmZQoHeQHMpZchfOklt3geBD9Hcj+FobrNOKTQfAtwErgCbgD/QhMmTjHMWTYhcdrkWk3MpdkcTl5eBXcB8YNYTnkpB15yi0KyfU6WUW137vkcTQA+EEF+iBb9fQ7N+nUYLME/Mz0AxV/tlyYz1RN9LhULx70bV8lMoFP8XhBAfA29LKWs/77koFArF00ZZqBQKxTNBCJFVCFHdld+pMJqFbOnznpdCoVA8C5SgUigUzwoTMB0tx9cWtJxRU5/rjBQKxQuPECKnEGKrEOK00BIvf+baXloIsVdoiY1XJl7pLIQo5dp3yrXfx7V9m9ASLR91vTI9s3krl59CoVAoFIoXBSFEVrTExYddC14Ooa3wngt8KaXcLoR4H8grpRzoSqdzGOgopTwmhEgPPJBSOoQQ21zHHHzW81YWKoVCoVAoFC8MUso7UsrDrveRaFUUsqOli9nharYReMP1vhFwXEp5zHVMqGsl8P8VJagUCoVCoVC8kAgh8qCVvNoPnELLCQdaFYr43HaFACm0mqiHhasGZyJmu9x9A12pUp4J/4oq9hkyZJB58uR53tNQKBQKheL/wqFDh0KklBn/X+M1rusvQ8P+P0adQ8ctp9By6cUzQ0o5I2k7IUQAWgmvz6WUES4330QhxEBgBWB1NTUANYCKaDkGNwshDkkpNwPtpZS3XK7DP9HKPv3yLM7rXyGo8uTJw8GDz9z9qVAoFArFC4EQImm5qGdKaJiDA+tz/V/G0me9ECelrPCoNq4kxn8Cv0kpl4A7P10j1/5CaHVKQct3tyM+t54QYg1QDtgspbzlOjZSCDEfqMQzElTK5adQKBQKheKFweWW+xk4I6Ucm2h7Jte/OrQEzz+6dq0HSroqaBiA2sBpV2WIDK5jjGgJjk8+q3n/KyxUCoVCoVAo/jNUR3PNnRBCHHVt6wcUFEJ86vq8BJgNIKUMF0KMBYLQamuukVKuFkL4A+tdYkqPVh3hp2c1aSWoFAqFQqFQvDBIKXeRUHw8KRNSOGYeSWpkSimjgfJPd3Ypo1x+CoVCoVAoFP8QJagUCoVCoVAo/iFKUCkUCoVCoVD8Q5SgUigUCoVCofiHKEGlUCgUCoVC8Q9RgkqhUCgUCoXiH6IElUKhUCgUCsU/RAkqhUKhUCgUin+IElQKhUKhUCgU/xAlqBQKhUKhUCj+IUpQKRQKhUKhUPxDlKBSKBQKhUKh+IcoQaVQKBQKhULxD1GCSqFQKBQKheIfogSVQqFQKBQKxT9ECSqFQqFQKBSKf4gSVAqFQqFQKBT/kGcqqIQQV4UQJ4QQR4UQB13bBgshbrm2HRVCNHuWc1C8PKydtZnOJXryUelebF24+3lPR6FQKBQKN4b/wxh1pZQhSbaNk1L+8H8YW/GSsPHX7UzpMRtLjAWAMR9MxexrotprFZ/zzBQKhUKhUC4/xb+EVT9ucIspAEusldU/bXyOM1IoFAqFIoFnLagksEEIcUgI8VGi7d2EEMeFELOEEGmf8RwULwEmH9MTbVMoFAqF4nnwrAVVDSllOaAp8KkQohYwDcgPlAHuAGOSO1AI8ZEQ4qAQ4uD9+/ef8TQVLzodvmmN2S9BQJn9zLz9dcvnOCOFQqFQKBJ4pjFUUspbrn/vCSGWApWklDvi9wshfgJWpXDsDGAGQIUKFeSznKfixad07eKM2jSINTM2IvQ6XvukCQXK5n3e01IoFAqFAniGgkoI4Q/opJSRrveNgCFCiKxSyjuuZi2Bk89qDoqXi2JVClGsSqHnPQ2FQqFQKLx4lhaqzMBSIUT8OPOllOuEEL8KIcqgxVddBbo8wzko/qXYbXaWT1nHlePXKFghP827NESv1z/vaSkUCoVCkSzPTFBJKS8DpZPZ3vFZjal4OXA6nfR/5XtO7T6LJdbKtkV7OLzxOIOXfMWZfefZMn8nZj8zzbs2ImvezM97ugqFQqFQ/F/yUCkUf4lrp25wcvdZrLFWACwxVg6uP8qGX7Yz6dOfsMRYETrBqukbmXZoFNnyZ0m2n6gH0dw4d5v0WdOQKVfG/+cpPDGXjl0laO0RfAJ8aNixFv6p/Z/3lBQKhULxN1CCSvHCceHIFbeYikfoBL+PWIolRtsunZLYqDiWTFhNt4kfePVxYucZBjT/HqET2Cw22vZtRYeBrR879p3LwQxrO57rZ2+RLV9m+s7/jNxFczydE0tC0PqjfPvGaOxWO3qDnkWjlzP96A+kShvwTMZTKBQKxbNDJfZUvHBsmLPNa5tOr8PhcHpsk05JTGSsV1spJd+8PpKYyFiiH8ZgjbOxcOQyzh+69MhxbVYbX9T5hguHLhEbGcvl41fpVfsbYqMSxti1dD8jOk7kx15zCbkd9vdO0MXkbj9jibHisDuxxtl4EPyQNT9t/kd9KhQKheL5oCxUiheO6IcxXtuKVCpImbrFWTB8KXGujOlmPxMN2tfyahsTEUNsVJzHNp1ecOPsbQqVz5/iuLcv3iX6QQxOp5alQ0qwWe1cPn6d4tUKs2zSGmb2/Q1LjBW9XsemeTuYeXIsaTKmfuw5WWItXDp2jZl95nF633n8A/2wW20ebWxWOxGhEY/tS6FQKBQvHkpQKV446rxVjRvnbrtLzZj9zDR6tzb12tXE6XCydtYWjCYj7333NuUalPI63i/QD78AHyLDo93bnA4nuYpmf+S4foF+2G0Oj20OuwP/1H4A/PLtYrfL0eFwEhMRy5b5u2j12SvJ9ud0Olk8ZiVrftrE3Sv3kFIiXWItIjQSnV6HwWTAbrW7ztNEpWblnuQSKRQKheIFQ7n8FC8cbb5sQcseTUmVLoDUGQJ599s3adChNjqdjg4D2/DblWnMOTeR2m9WS/Z4IQRDVnyNX6AvfoG+GH2MtOv/BgXL5XO3cdgd3LkSTNSDBNEVGRZFtvyZ0Ru09Aw+/mYqv1Ke3MW0GCpHErHldDixWewpnsevQ/7g18GLuH3xLk6H0y2m4tEb9OQrmQvfAB9MviZ0eh2j35vCjj/2erQLv/eQezdCcDo9XZ4KhUKheHFQFirFC4dOp+Pdb9+ibd9W+KXy/Vt9lKhehAU3pnPz/G3SZU1Lhmzp3PtuX7pLr7qDiAqLxm530K5fKyo1K8eXdQcRF+0qwCygYpMy9Jv/Ga5catTvUJMNc7e5rVRGs4GqLSokO/6Vk9dZ/MMKLEmC6xOjN+ho9XlzzgVdZM1Pm4iNjCM2Mo5R704mbeY0FKtWiFHvTmbnH/sQeh25imRn1KZvPILWpZREP4zBL9AXnU79PlIoFIrnhfofWPHCsXDkUpoHdKBV+vfoWu4rwu89/Fv9+KXypVD5/B5iCmBQy1GE3gonLsaC3Wpn0ajlTPlsVoKYApCwe1kQcwf97t706YT3ea1bU7IXzEqRSgUYuWEguYp4uxFP7DxD9yr93C7L5DD7mshZJDu12lRh++K9HsLLEmtl97IDrJq+kd3LgrBZ7VhjrVw9dYMJH89wtzt74AKtM39Am8wf0DJdJw5vPvF3LpNCoVAongLKQqV4oTi44RjzvvvT7V67evIGw9uNZ/SmQU9tjBtnbyFlgvvNbnfwIPiBVzunw8mi0SvoNORtdDodeoOeD0d04MMRHR7Z//Qv56YopgwmA2XqlaBe2xrUeasaRpMRH3+zRxu9QY9/aj/O7D3v0Y/daufsgYtsmb+T25eCWTR6uTv43m6LZVDLUcy7PIXUGQKf9FIoFAqF4imhLFSKF4rTe8955KBy2B2cO3Dxb/d37cxNxnw4jeHtxnNwwzEA0mX1tFgZjHpSpUuV7PHSKXEmStdwbMcpmgd0oKGuDc1827JzyT6vY6KSWaWYKVd6vprTjY/HdeLqyetM7j6LUZ2mEBdjoeuYdzH7mgDQG/X4p/Hj7pVgdv7p2bdOryMmIpZxXabz65DFXisZ9Xod107ffIKrolAoFIqnjbJQKV4oMuZIj8nX5GGZSZs5zd/q68a5W3Sv3Je4aAtSSvasCKLP3O4M+L0nXzceitAJnHYHlV8pz7XTN7yOFzpBxaZlMRi1P5PY6Dh61x/iFlg2i50hbcYw7/IUMufO5D6u9pvV+HPsKo9Vit0mdSZd1rT0qv2N2723e9kBkNB/weeM2jyIPcsO4Jfaj3vX7rNp3g6scQlpFcx+Jkw+JixxVqwxycdl2ax20mdL+7eulUKhUCj+GUpQKV4oGr5Tm/Wzt3L5+DUQWi6o3nO7EXIrlMk9ZnHr/B2KVS1ElzHv4pfKF5vVxsldZ7Fb7RSrVhj/QD93X8unrCM2Ok4rw41Wwmbu4EXMPDGWXy5O4sLhK6TOkIqC5fLxdZOhXDt1g0SeQHIUysaAhT3dn0/uOuthrQJAwq6lB3jj8+buTe8MaoMlOo6Nv2xH6HVkzp2RWf3mI/Q6rJYEkWSLs7F/9SEAilUpRLEqhQBon/djd+B7PKXrlqDuW9WZ1G0mSeWUT4AP0ilp9VkzshfI+lcvuUKhUCieAkpQKV4oDEYDY7Z9y+FNx4l6EI0lxsqJHacZNHYlkeHROB1Obl28y7UzNxm+pj+f1xjA3av3EEJg9jUxad/3ZM6t1e2zxtncYiqe+GSaaTKmpmLjMu7tn4zrRI9q/bHbHAgBvgG+jN48CB+/hPim9FmTt/6ky5LG47Ner6frmE50HtGBLmW+5PLRq9htDnR6nUfsFoBvgA87l+xnzsAF2Cx2mnau7yEKQVsNmKtIdu5dv+9htdLpdWTMmZ73vmtLjkJZKVyxAA67g9ioOPxT+7lXJyoUT4P7N0PZv/owBqOe6i0rqRJJCkUSlKBSvHDoDXoqNC7DiI6T2LP8ADaLDYc9wTJks9g4f+gyswcu5Ob5O9hcVp+4aAsTPvmJ4av7AdDo3Tps+W2n28Xm42/mlS4Nkx0zd7GczDw5jv2rD6M36KjeshKBSeKq8pXKTd5Subhy/Lp7W7qsaVPMh3X11A3u3wh1Jwt1OpwIIdCb9DjsDkw+Rpp8UJ+RHSe65zh/6J/U61CT25fuYrPY0el1+Pr7sO7nLcRExmq5qISWWiJrvszkLJKdM/vPU7JWUVZMXce0L+YipSRb/syMWD+QTDkz/J1boFB4cOXkdT6vPgCH3YEQgtkDFvDjkdF/2x2vULyMKEGleCG5dOwqu5cdSHG1nHRK7l4Odosp0ATLnUt33Z9LVC/CoCVfMWfAAiyxVpp92ICWPZqlOGbGHOlpnoLgArh79R5Z82XmQfBDDCYDlZqVo9vE91PM/2QwGrwsUiZfIy17vILJx0j5RqVZ+eMGj5QJcTEWjm8/zcQ9w9mzIghLtJU/J6zCFudZpsbkYyTkVii3LtxBp9ex8Zft2G0Od9b1WxfuMuj1UUw7NCrF81EonpQpPWYRGxXrdonbrHbmD1vCpxPff74TUyheIJSgUryQRIREYjDqSU5Omf1MVGxSllK1inJky0m36DKaDRSrWpgrJ64RtO4ovql8qd++JlOCRj52PKfTya4l+wm5GUaRygUoVrWw53xCI/m00tdEudyOZl8T0Q+i3QHrSYmNikVv1JGvdG4uHr6KNc6KyddIoQoFeG/o2wDs/HM/N8/d9j4/XxMGkwGzj4mgdUc9RGM8iXNmOR1OYiNjPeK/nA4nl49fQ0qpXH+Kf0x48AOP75fD7vjHxcEVipcNJagULyT5y+Txsu74+JspXbs4JWoWoU2vFiDgbNAldizag9DpKFguL1VerUD3qv2w2xwYjHp+H7WM6UdG45/aP8WxnE4nA18dwfEdpzWXhk7QsGNtmnZuQOEKWjHlgxuOYYuzuYPSLbFWdvyxj95zbRhNRo/+ti3azah3J4MEoRfUalOVqPBoCpbLy9tft0QIwbC249m/+pBHTBRoYqp+uxp8UqEPDpsdh8PpFQcW7/JLHCAvk7YBfFP5KDGleCpUalaO4Kv33dZUs5+ZKq+Wf86zUiheLJSgUryQpM4QyPfrBjD0rbGE3g4nR6GsfLu0NzkKZfNo1/fXHnSb+D52q500mVLzbsHuCQWMbQ7C7jxgzcwttOn1aopjHd16iuM7z3hYfVbP2MTGX3dQv31Nek7vgl7v7daTUrJ/1SFK1y3hDtANuRXKiA6TcNgT6v5tW7ibpeFz3QHuF49eYe/Kgx75tnQ6Qf0OtWj2YQMmd/v5kVnWcxXJzq1Ld8GRYhMAytX3LhytUPwd3h/Wlgf3HrJ14W70eh1v9GxOo3fqPO9pKRQvFEpQKV5YilUpxPxrPz62XeLVRlEPoz322a02HoZEPPL4iJAIdMlYcqyxVrYu2EX99jWp0KQMfoG+WONs7sBcrZjxVIxmAxP3Didb/iyc2nPOQ0wB2G0OTuw8415VuGHuNg8xBWD0MVKuQSmy5c9MZHhUsvM0mg28+dVrvPpJYzrk+cRjnxCeViqDyUCRSgUeed4KxZNiNBnpM7c7ved0A0jR8hlvVVaWUcV/EZUpXfFSUalJWUw+CS44k6+Jik3KPPKYolUKeeeXikcILhy6TMjNUCbtG06jTnXIkjcTCM0CFhMZS2RYlLvGXtIyMom6AeDOlWBWTd/otd8SY2VSt5m8U6A72QtlRei8H0iB6VPRacjbpMkYiNHs+VvIYDRg8jFiNBsw+5nJmD1diisaFf9dtv6+i9aZP6BFYEeGvjVWWzX6FxBCJCuWHHYH/TtPoV6RT2mc9QN++nqel8teoXjZURYqxUvF59O7YLfZ2bfqEGZfM13GvEPp2sU92lw5cY3wexHkL52b1BkCyZw7I98u78OIDhMID/YsxGyNtfJzv/nMHbyINBkDGbfzO84FXUI6Ex4WTqfk7pX7AJSpWwKTr8nDAmX0MVKkUkEAbl+8i8ls9Fq1BxATEQvAkU0nSPrMEjpB1nyZAS3P1eA/v2JQy1HoDXpsFhvtB7am+uuVOLThGL4BPtR5qxq+Ab5/8yoqXkaC1h9leNsJ7s/bF+8lIjyaURsG/uO+P+79MwdFLNTIC0Iwf30QWfNmonmXRv+4b4Xi34ISVIqXCh8/MwMWfpHsPiklYz6cxraFuzEYDTidku/X9qd4tcKUq1+SRXdmcvXUDXo3HELMwxjsNjsIgd1qx261cy/WyrC3xyVbpqZg+XwAmH3NTNg1lH7NhhMe/IDUGQMZsrwPAWm0oPjsBbO6Uxs8isQ/7v1S+WI0G+j1c4Kbr2D5fIzePAhLjJWs+TKRMWcGnE4nuYvm+CuXS/EfYuH3S722Hd18wv1eSklMZCx+qXz/ksvu6t0wDkVFgkHv3vawQi52rDqoBJXiP4USVIqXjpRSBRxcf5Ttv+/BEmPF4irgMqT1D/x++yd3mzzFc7Lgxo+E3XnAtJ6z2fnnfvc+p8PJtVM38PEzE52oALJOr6PVZwn5rQqUzcuiOz9ht9m90ipkyZOJruPeZXK3WUgpkVKi0+tw2JKPMDeYDPSc0YWKTcq4Vyr+MW4Vs/r9hsFowGg2UKt1NdbN3oLT4aTyK+XoN/9zjwzvLzondp5hwfdLsFntvPZpE2q0rPy8p/RykoJGklIy77s/WDhiKXarHd9Uvny7tDel6xRP/oAkBD+IQi8EHj8TpMQ3a5p/OmOF4l+FiqFSvDREhEXSq+4gGhvfokVgRzb8ss1j/+1LwTgdnnEd4cEPveJI9Ho9UQ+i2bvykNcYllirh5gCLU4rT4lcSCnZvmgPEz/9icVjVrgzpCfl7L4LOJ1OnA4n0ilx2BzojXrMyYggg8lAjVaV3WLqwuHL7jI1sVFxRIRGsWr6BuxWO06Hk4MbjjG5x8+PvVYvCqf3nqNv06EErTvK0S0nGdFxItt+3/28p/VS0vGbNl7bKjUry7guP/LL4EVY42w4nZLohzEMbDGCiNDIR/a3f81h2uXuyrDK/fHbfB4SxyHqdXT48rWnfQoKxQuNElSKl4Zhb4/n9J5zSKckNiqOiR//xOl9593785XK7RHsLQSkzZKaPcuDiHrguTpw8Q8rcNi8XXPWJEk2fQJ8+HZpb/xS+TKr33xGvz+VldM2MGfgQj6r1h+b1bO9JdbChl+2e8RgxTNxzzA6DGqDyceIf2o/fPzNfLO4l4eV68qJ64gUMrODVnD5yKYTKe5/0Vg+ZZ1HIWhLjJXfRy/3aPPg/kOWTFjNotHLuXneOxGq4skoU7cE3y7vQ4Yc6UiVNoDGnerQe243NszZ5tVWSsn1MzdT7OvKiWt89+YY7t8IJTYyDmeAySNfmt6gY/auY8/gLBSKFxfl8lO8NJzcdcbDKmS3OTi+/TTFqhQCoGTNorTt25J53/3hCubWrE2jOk3B7GNk8oER7sLKllirV7JMoRMeQsgnwMz3a/pRokZRbFYbi8aswOmqOWiNs3HncjCHNx6n8isJCRAdLquUF1Kye8UBti3YRabcGWncqQ5NP6hP6gyBrvlYmPDxT+xZfgBLdNwjr0PazKmf/KI9Z5JdCJZoW8jtMLqW/YqYCK2O4a9DFjNq0yCKVi74f5vjy0S1VytQ7dUK7s8ht0I1l7Pd00prtzlIl0IxcIBDG497HGPNEACGBKHvcEpOXrmb3KEKxUuLslApXhr803hmQzeYDKTJGOixrX3/N/j99gxqta6C0OmwxFiJjYwlIiyKKZ/Ncrdr+kF9r9QESZeBO+1O0mdLB4DdakckDVIRwiNZKMD23/cgkvmrM/uZ+f37Zdw8f4eb524zb8gfXDmRUIT5hw+msX3RHqIfJpSY8Q3wwexvJl3WNPgE+GD2M2PyMWK3OuhZayA7l+5n7uBFfFqxD9+8NpKbF+785WXyz5pmneuhS/QgNvkaKdegJJN7zGLhyKX89t0fRIVFaQWybQ7ioi1M+3z2c5zxy0W6rGnJUSibV5qOFp80Ilv+LCke55/aD32iIHT9w1hEIoGl0wlyZEzz1OerULzIKAuV4qWh109d+e6tsUjp+g+9UDbqta/p1S4wXSoiQiM9AsGdDid3r9xzf67QqDR6owGbJcHtp9MJDEYDDrsTo9lAvfY13akMfAN8KVK5AOeDLmFzreITAkrWKuox9vzhS5BJNI3RbCQwfSqP8S2xVjb8so0ydUsAsHfFQY8yNTq9jjpvV+e9oW3x8TOxd8VBzuy7wJqfNnHp2FUATu89j96g087h8GX2rT6ElJK0mVLzzeJelKjhObf/N1JK5g9bopXRQbsoQuhYNnkt1lgbBpNBizFLkiMspcSnLwNHtpxg97IgAtMH0OKTxqTJ+GytjTqdjlGbvuH7DhM5uuUETodEb9Bz68LdZBdVxFO3bQ0WjV7BvRsh2Cw2Up8LIW3twjyw2xFC4GMyMKB9/Wc6d4XiRUMJKsVLQ+VXyjPlwAiObTtNqnQB1GhVyavOXjxl6pbg6NZT7hIvJh8jpWoXc++3WW1YkliXjCYjTd6vR8acGchVNDtVmnvWMhu6si9jP/yRU7vPkj57OnrN/Jh0WRLcJjfO3SL42n2vuVRpXo5Te857bhRaCoZ4zL4mj3I0BpOBAmXykjaT9sCt164ma2dt8YjxcjqcCQlLZYKFLTz4If2aDWfuxcnu458HD+5HcHL3WY80EonPMbn0EmY/E9Ver/R/md//m42/bmfCxzOwxFgxGPWs+nEjP50YQ6p0AWxftJfbF++St1Quqr5a4alkIo+LsTD3m985f+gS4cEP0el1OB0OHHYHR7ecZPGYFbT9ulWyx/r4mZl6aCQb5mwjIjSSsvVLUrhKQY5fvoPV5qBUvqz4+5j+8RwVin8TSlApXipyF8tJ7mI5H9uu5WfNuHLiOpt/2wEICpTLS4bs6dj8205qv1kVo8lI5jwZPaxGCGj4Tm0KV0y+pEtAGn++WdwrxTEvH7+OycfoEYQNWqB5RJLyOL7+Ph6pGD76oSOTPp2JJcaK0ay5Muu3r+HeH3Y3nLP7Lzz2vOPR6XVcOnqVCo1KP/ExTxu9XudlrXscDTrW4v2hbZ/NhJ4zM/vMc3837DYHUQ+i2DB3G2f2XyBo7REssVbMviaada7Px+Pe+0djOZ1Ovm70HRcOX9YsnwKP2DVLrJUzez2/TxsPnWfaqr3Y7A5a1ShBp0YVee3TJh5tyhdUedAU/12UoFL8J9Hr9Xw1+1O6T+nMpnnb+fGLuZw/eBmDUc+KqesYu30IQ1d+zVcNhhAbEYvd7qDTd20pXLEADoeDXX/uJ/R2OEWqFHQHvaeE3WZn0687OL33nJf7ymA0EHIrzCOYXugEIzcOJCBtAJO6zeT+jVAqNi3Ddyu+JmjdUVJnCOSVjxpw/2YY6+dsIyCNv1YfMEn2deFyUdos3lnZ7TYHaTIlxJc5nU6ObTtFREgkRasUJFOujH/nsv4lAtOnolKzshzacAxLrBWDyYDBqMducyRrndIb9Xw29aOXtk6cJc5TaDtsDu5cCubAmiNuy11ctIWVP27g7a9bkjZzmr891u2Ld7l49ErCdybJ4gCTj5E8JRJ+mOw7c41Bc9cT51r5+tOa/Rj0ejo2SLDSSimJiYjBL9Dvpb1HCsWjUIJK8VJjt9k5sOYI0Q9jKFmrKFnyZALgzuVgTu4+S2D6VEzv9UuCZcBq58qJ6+xZHkTNN6qw4PqP3L8ZyoN7D7lx9jaHN5/g95FLOb33PA6bA51BR5cf3qFBx9qsnr6RkFuhlKlb0u0OdDgcfN14KOcOXCQu1oJer0dv0OPjb8Juc9D6i1dZOnGNx5yNJgP+gX58XO4rHtyLwGF3cGTzCV7p0pCuY94FIGjdEb594wecTid6g15blZhk9WDtNlUpXq0w+1Yf5uH9CK6fvQUSdHpBrTZVKVAmr3uOA18dwYldZ9HpBE6Hk+9WfO2O33qWDFz0BQtHLOXkrrNkL5SVt/u05Oe+v3FwwzEiQiPd52T2M1Hnreov9YO6dpuqbJ63E4urbJHRx0iBcnnZsmAXiZ3PBqOB6Icx/0hQSSmTWUQBPr5mhE6Qo1BW2vZLcPet3HvaLaYA4qx2lu0+6RZUp/acY2CLEVqm9QAfvl3Wh5I1n2+MnkLx/0YJKsVLi9Vi4/MaA7h57rZrZZxk+Jr+WOOsDGo5Gp1OIKX0WonndDrdSQ31Bj0nd51hfJcZ6PQ67DaHK87EZWmywpTPZrNs8jruXA7GFmdj1fRNdBjYmrf7vM6JHWc4f/AScS4Lg8OuibBeMz+hUIX8BKTxY9X0jeh0cTidEoPJQK6iOTh38BLRD2Nw2DXLVVyMhWWT1vLR6I7odDrGd53hfvDaLHavLNhmPxNl6pbgwf0Ijm8/jcPuoHj1wlR/vRK5imSnQuMy7ra7lhzgxM6zxCVKx/B9h4n8fmvG07sZKWAwGugwsA2n951n0ajljO86g9e7NeHrX3tw49wtfuw1l9Db4VRuXp53kklM+TLRbdIHGEwGdi89gF+gH5+Mf4+ilQvwU5957jZCJwhI468V6P4HZC+YlVzFcnDlxHVsFhtGk4Gs+bPQY8oHGH1MFK6Q32MVn6/ZmOAVdEp0URZM6bTvZkxkLP2aDXPXoowMj2ZA8+/57do0d8klheK/gBJUipeW9bO3cv3MTY+YpR/en0JsVJxH8LPQCYQQHgHcJVy/rh12B2M/nJ6s2ywep8PJvWv33QWPLTEW5g76nbd6v0b0wxivJel6vY6StYq6V3BN3DOMMZ2ncedyMIUrFqDnjC7sWX7Qa5z4UjUAUeHRSXZqFg2jyYh0OilYPh++qXyZ9sVc99zPHbhIjkLZeOPz5h6H3r8RotUtTMTD+54xXe62N0MZ+vZYLh29Robs6ej722cUrpA/xWvzJJzZf4HeDb5136dj207S77fPqfZaRYat6veP+v43YTQZ6T6pM90ndfbYPmbrtwxrO57ga/fIVSQHAxd9keLquydFp9MxevMgZvb9jfNBl8hfOjcfjuqIbyofVk3fyJqfNpGvVG5afNIYg9FAxwblWRd0lriwaAJXnkQXbSVcCMbdt/JKl4beAwi4ef62uyi4QvFfQAkqxUtL2N1wtxUnngf3Iry26fU6MuRIz/0boQSk9efLnz9xFxmOjojxyj+VlGStXHZttVTRKgU9klfqDDoy5szgUWYmW/4sjNn6rcfxhSrkQ6fXIYRmRTP7mqj2ekX0es1qUKZeCYLWHXGndTD7mui/sCc6ncAv0I8M2dPxffsJHsLRGmfj0Abv7NUFyub1EH06vY7MeTLSqXAPYiNjqd6yEh+P64TeoOfLuoO5ffkuSLh14Q5f1hvMyA0DyVsyF77+PileI6fTyb3rIRhMBjK4cnfFs3TiGq9s6Qu+X0K11yqm2N+/leiIGEa/N4Ujm0+SKq0/PWd0oXzDRy8MyFcqNzNPjmXtz5s5svkEq2ds5O2vW/5j649fKl96TE4Qb1JKvn1jNAc3HMMSowXA7199mBHrB5A7c1rm92vPVw2HEBZpAafEAWxZsIu8pXK7U4XEY7faH5kYVKF4GVGCSvHSEHonnAldZ3Dt9A0KlM1L7TerYfY1u0WFwagndcZAQm6F4kj0/7/eqKfvb595BJfHRsWy5qfNhN0Nxz+1HxEhEW5hZDQZMPoY3S6OpAG9RrOBEjWKYDAaSJclLaM3fcOIjpO4d/0+NqudsNvhvJX1Q77540uvVXZOp5PR701h+6I9IARmPxMZcqSncIX8NO1cH2ucFZOPid5zuzG83XgObTyOj5+Zj8d1oqorA/bFo1foUuZLrEmCnME7i/q5oIsMaTPGHask9IIMOdIRcjPUHbC8Yc42HDYHHQe14c6VYI/zjYuKo1ftb9DpdfRf2JNqLbxFUERYJL0bDOHmuds4nU6qNK9A/4Wfu8VhvFszMUmD918WhrUdz9EtJ7BZ7MRExDCo5SimBI10C/iUmPbFHNb+tJm4GAtGk4Edf+xjxvExT7UI9t2r9whafwyr6weHJdbKyV1nWD5lHZVfKUeuvJlx3HkIiWL14qIt3Ll0lw4D3mD+cFdOMaeTN796jUw5Mzy1uSkU/waUoFK8FFjjrHxWrb9LLGnWkKunbtDk/bosn7wOALvdwf2boR4ryPRGPV3HvOshpuJiLHxcvg/3b4RgjbNh8jESkDaAmIgYjCYjfX7tzoN7EfzYa45XCoTADKkoXbs4vX7+2L2tcMUCjN3+LR3zd0M6pTueqm+ToVR+pRz9F3yOb4AvoLkpd/653215chp0hAc/YM/yIPauOEiqdAFM2DOM9FnTpugOm9JjFrFRnuVpdHodZl8TPaZ+6N7mdDrp98pwIsMSEmUaTUYqNyvHqukb3dsssVZ2/LmPdv1bJVs2x25zgM3Bt2/8wO+3Z3glo5z46Uyunb7pvu4H1h5m2aS1vN69KXq9nhafNGb/qkNuy6HZz0Trns29xvm3I6Xk8MZjHiVbpFNyZNOJRwoqu83O8inr3GWNbFY7D+49JGjdUWq2quzR9t71+ywes5LIsCjqvFXdK1fao7DEWNHpPd3T1jgbP/f9jZl95vHFzK5kyZuZiNAot9XW7GciR+HsvNq1ERUal+H6mVvkLJL9H7uBFYp/I6r0jOKl4NKxa0SGRbkfVnabg+Br99kwd1tCI+mdLLL1F81p3qWRx7Ydi/cSejvMbaGxxtmwW+0sDZ/LH/d/Ji7awvUzN71yKAWmT4Ver2PfqkMMaT2GiLBI976b5+9gMOpJyqGNxxn9/lSPz4nddA67k+gHMcRGxRETGUvIrTAmffrTI69FePBDr20FyuZl5smxFCqf8KCLCo9OsLK5MBj0xETEes3V7GvCP7W/VzxYYpwOJyunbfDafuHgpSTJO638MngRTU1teSPj+9gsdoYs70Op2sUoVq0wvWZ+Qr123hnu/+0IITyStYImdP1T+z3yOKfD6WUFBbzi+kJuh9Gl7FesmLqezb/tZOjbY1kzcxMA107f4KsG3/J+sc+Z1nO2V5FvgByFspIuS1qPYHTQrFCWWCtjPpjG59M/IlW6APwCffHxN1OsamGaflAPgELl89OgQy0KV8jPrYt3+LrJUN4v9jkTPvnJ/SNCoXiZURYqxUuB0WzwqlPncDgfucxeb9Al6zKJiYzF6fB8glnjrAgB3Sr34+6VYJwOJw67A4NRj8lXywgdGxXrtiwd33Ga79qMZfTmQQBkzpPRK84ENIF3aP0xpJRM7vEzu5bsf+R5OuwOrp259cg2VV7RLEzxFh8ffzOtPnvFK7eUfxo/jCaDh9hxOJw0fLcOhzedICJMK89j9jXx0aiO6I160mdNS8itsBTHjo6IeeTc4okXchGhkXzbajQ/nx7nFUf2MtJlzDtM/Xw2llgrJh8jGXNmoFabKo88xuRjonzD0hzbdhJrnA0htPtkNHn+971h7jZiI+PciyssMVZ+GbSISs3K0aNaf2IjtTqQ967dJ/TOAwYs7OlxvMFoYNyOIYzp/CNnD1wgKjw6YaEGCeLvl0uTOX/wEr4BPhSqkB+dzvN3+cOQCLpX6UfUg2ikUxJ89R73rt//Ty0wUPw3URYqxUtBvlK5KVgun1vcmP1MlKxZ1MO9khidXodfoB9NPvCuN1a+YSkPS4zRbKRC4zJsnreTO5fvEhdtwRpnw2F3Epg+FWO3D6HDwDYe4s1utXN8x2m3ayRTzgx88H179MlYqfxS+xK07iirp2/yiCcSAnwCtILH8RhMBmIiYngza2c+q96fmxfuePX3wYj21GxdBYPRgNnXxFt9Xqdeuxpe7fR6PQN+/wIffzP+qf0w+5p4vVsTyjcoxYzjP9BhwBu0+qwZQ1f1pV67mox+bwoPQyK9+kmYm57i1Yp4bQ+7+yDFY0AL1D8XdOmRbV4WmnVuwLDV/egwoDUfjuzIlKARXlar5Pjmj140fKc2foG+IAROu5NRnSbzc7/f3G2scVavHxV2m52D647itDvdMYCWWCs7Fu/hzWwf0i5XV1b/lODeTZclLcNW9WXawZEYTJ7fVYPRQIbs6fAP9KNsvZIUqVTQS0wBHN1yErvN7nYPW+NsHFx/DEusslIpXm6UhUrxUqDT6RixYSB/jFnB5ePXKVQhP60+a8bKHzfwc9/f0Ov1OBwOqr1eCbPZiH8af1p9/orXijOAnIWzM2xVX8Z1mU5kmFanrNfMj1kyYY1HsWSA6IhY8pfOw9WTN9DpPR8uvgE+HiKrVY9mlK1bgr5NhhIZrrknDUY9PaZ8yMZftnkFZ0sJ865MZXSnKRzZfAKh02qtPbgXgdPh5MH9CD6vMYC5FybhH5jgNjKajPSZ253ec7o9NhFmpaZlmXN+EtdO3SB99nTuWJ40GVPTYaBn3qegdUc93Ew6ncDsZ8ZudyCdTpp92IAaLb3r7D1uDk6HkzTPsabg08Zhd7B04hrO7L9A7mI5ePOr1zwsoaVrF6d07eIAj11BGo+Pn5nWX7zKpl93IJ0Su9OO3Wbnz3Greb17M9JnTUvt1lX5Y8wqt8vY7Gei4bt1sFnt2KyeLj4pIdwldKf1nEtg+kCPeKyMOTOQv3QezuxLKD/T+ovmKdbGTExyPxoAr78P0ETggbVHiIu2UKZucTJkT//Y/hWKFxUlqBQvDSazkXb93vDY1rJ7M8rULcG1UzfIXjArBcvle6K+StcpzpxzEz22lalbggXDlyRksjYZKF1HezDWbF2FP8au5Ob529isdgwGPd2ndPbqV2fQUahifq6dvkme4jnoMLANBcvlY/nktd5t9TpSpw/kuxVfc/9GCLcvBdO/+XC3G0Y6JTaLnfMHL1G2Xkmv41MSMg67g/nDl3B403Ey585I5xHtKdeg1GOviV+AD3GJgt0NZiPvDW1Lhcal8U/t51EIOjGvdm3E8qnrscRYEEJgNBvc8xM6Qd4SuYiNisVus//j/EovAkPfHkfQuiNYYjS33v7Vh5m4Z5hHbNLWhbuZ8PEMYiJjKVa1MIOXfOkVzJ+UB/cj0BsNkCjth8FkICI0kvRZ05K3ZG6Gr+nHjK9+IfphLDVaV6Zk9SKM+2h6ipZa0PKmbZm/00NQHdlykisnb3i0W/D9Utr2a5WsVSoxFRqXIU3G1NgsduxWOz5+Zhq+U9tLjMVGx9G9Sj/uxRcMF4IxWwc/8d+oQvGi8e//30uheAx5S+Qib4lcj2wTERrJ7Ut3yZQrg5cw2LMiiD/HrkLoBM0/aczanzZhibFQsnYx+s7rAcC+lQfJnCcjvoG+FK9SiOotK1GkUkHuXr3HsW2n8Av0I1/JXPSo0o/YqDiklITeDid/mbwULJePMvVKcGTLCY/YrfylcwOa8MiUKyNGHxMySWyX0+HE5xH5n5Jj9PtT2bVkH5YYK2f2nefwphPMOjP+sXmNuk3uzMiOEzXBaDKQPmtamrxfF98AX+Ksdqat3MPxy3e4fi8cq91BkZyZGPxOI6q1rMT2xXsIv+ckU84MDPrzS+KiLexZHsSSCWu4euoGQ98aR/ZCWRm/87sncoG9qITeCWf/6sNuS541zsaNs7c4F3SRYlULA3Dh8GXGfDDVLczPHrjAt63HMG77kGT7vHb6BiM6TuLulXse2ewBTGYD2QtkcX8uVasYk/ePIDYqls9rDGTJuNXuNAhukhRCFkIQkMYzMD70dljS5PvYbXYsMRb3itSU8PEzMyVoBPOHL+HulXuUrV+S5skk/1wxdT23L971sHqO/XAa0w6NfmT/CsWLihJUiv88e1YEMbzdBPQGHXarnU/Gv8crH2kPgD3Lgxjefrw7PcLZ/RcYsrwPZeuXdFuAVkxdx4zev2rLznWCK8eu0eLTJpzcdYa+TYcB2kPLL9AXS6zF7eaxxFhYOnEN7wx6k5Y9mrHjj31cP3MLIbS4rX4LPIOG02ZKTb32Ndn2+x4sMRbMviYKV8xP4YpPvkTdZrWxdcEut5XLYXcSFx3HoQ3HqP1mtUceW7NVZTLl/JZDG48TkMafBh1r4Rvgi8PppOuEPzh7PRhrIkvI/rPX6TRiAXLyNixRmhvq/s0w1v68hY/HdmJSt5keKxqvn77JimkbaPPFq098Pi8aNosNXZKVkEInPBYknNhxxiPWyWFzcGbvuWT7i3oQTc9a3xAVHoV01WHUG3Q4HE6y5cvM4KW9MfmYvI77fdRybpy7nWyGf4PRgE6nw2qxotPpMJgMXD5xnX7NhtHhmzYUq1KIQhXyewSkCyHIlDvjY8VUPKnSBtBl9DuPbHP/+n2v+YXeDn+i/hWKFxElqBT/aWKjYhnezjOj+LSecyjfqDRZ8mTij7ErPbN4x1pZMmG1h4ts3tA/3W2cTklsVByb5+1g7awtHhnUrRZbsnmcAMy+ZibuGcbJXWexxFopVrUQqdIGeLXrNfNjStUqxtmgi+Qqkp3mXRo+1gXzJDxpLE/higUoXLGAx7YLt0K4cCvEQ0wB2B1Ogh9EkdqQMD9LjIX1c7by8dhO3L8R6tHeGmcj+Erw3zyD/z93rgRz/fRNsuTNRO5iOQHIlCsDOYtk5+qpG9itdnR6Hb6pfCmUKC9TmkyB6A16j3g8v8DkUyecP3QZpyMhoNzpkJj9TMw6PoZs+TK72107c5M5AxcSERpJnbeqcf3srWTFlMnHSJFKBflkwntsX7SHyyeucWTTSc67FgUc33GG8Tu/o0DZvHw1+1NGvzcFm9VO5jwZGbFuwD++ZokpXbck62Zvc//tGc0GStUq9lTHUCj+nyhBpXhqRD+MZnj7CRzdchLfAF+6T+lM7TZVn/e0HknIrTAvi4LBZOD2xbtkyZMp2bxLSbc5bEmCyZ1OrBabVz08h01LsyClEykler2ObPkzc+XkdfKWyIXBaKBM3RKPnO+dy8FY42wUr1qYGq0qecQcORwO/hizkv1rDpMxRwY+GN7WnSph++K9zBm4EKvFSu7iObh98S6WGKuWOsLfTLqsadm+eC+5i+UgT/GcSClxOp3ubOaPwu5wermH3NdCSoT0TKMUP+di1Qqzf/Vhd9oGH38zJWoUfex4LwIbf93OhK4zMLjSTrzdtyUdBrR218ib+OlMzgVptRM///Ejzuy7wLSes4mJiKVGq8rkLp6Ta6dv4LRLhICeM7omO45fKh+vxQoOuwO/VAlu3rtX77lcyVpahPNBlyhZuxhmv4QqAfFFleu1q0HnER3w8TOTv3Qe3ivSwyOjviXGwuoZG/ls2kfUfrMaNVtXwRJrfWRZob9LzVaVuXLiGvOHLUFKSbFqhen5U/LXQaH4N6AEleKpMbz9BA5vOoHdascaZ2N0p8lkyZvphc6anCF7OpxJrEZ2q53sBbMC8Fbv1zl34GJCFm9fE62TuKTis7G7g9V9TNRuU5VzQZc4vOm4WzCY/cx8Mr4TG3/dzqnd53A4nFw4dJkeVfsxbud3FCiT95FzPbHzDP2aDUM6JUIn+G3oH0w5ONL9sJvcfRYbf9mOJcaCTq/j4IajzD4zgYtHrzK602T3/Ey+JopVKahZHnJnIm3mQPo1G4ZOr8MSbUGCe4yKTcoy4Peej3ygFsqegbSp/LDYInAkupY+JgM1iuTm4uLjROt1OB1OzH4marSszM4/99F5RHtCb4dz8fBlpIQWHzd+rNvxWXBi5xnuXrlH/jJ5yFcq92Pbx0bFMr7LdKxxNvc1XfD9Umq3qUrOwtkJSONPv98+c7e/eOQK37QY4W67esZGGr1Th9Y9m/MwJJKSNYt6jHvvRgjBV++TvWAWClXIT4nqRTi56yxxMRZ8/LUA78QB7Nt+34Mlzuq2YsXFWDi7/wLVW1Zix6I9CJ2OAuXy8v3a/h6rQQEtN0dSEm3T6XTPREzF886gN2k/4A0cNkeyrkuF4t+EElSKp8bRLSc9kkTabQ6Objn5wgoqm9XGlRPX6fhNG34dstgdQ/Xx+E5kzq1Zdio1Lcvgpb1ZMmE1Op2gzZct3Eve46nRqjJLJqxB6AQCyJo/M9kKZOHrX7vzzWsjOb3nHDqDnk7fvUWzzg3YMn+X2/UnpZaJeuH3Sxnw+xcpzvXB/YcMfWushwsx+Np91szYxBs9m+N0Olk7c7PbmuF0OLHGWtm78iDHd5z2KAhtjbVy/2YYc85N5Palu3xYqpd34DKaqDq88TgTP/6JPr90B7TEnad2n8Ng1FOiZlFMZiMmo4E5X73FiIVbuXjrPr5mIwVzZKRsgey0qFKckObVWPD9EsKDH3Lh0GW2zN/J1gW7EHrB+J1DyZA9HSYf43N5oE74eAab5u1ACIHT6aRsvZIc3XoSp8NJ/Q616DGls4cVMDoihum95mrldhJhNBkIvhZCzsLZPbbbrDbWz97qcf0tMVa2Ld7jUQYonhVT1zH9y18wmo3YbXa+mv0pQ1f1Zf2cbdy6cJuC5fJ5i04pIRmXbZ+53ciaJyPbF+8FKbly4jolqnvmCXur92tM7j4rUaoFc7IB5M8SvV7/RJZQheJFRwkqxVPDN5Wvu1wLaK6zVOm844BeBKIeRNOtcl/u3QhBAOmzpePz6R+Rt2Ru0ibJiVShUWmvIsaJ+eH9qW4hKYE7l+6yfvY2qjQvR5a8mZBIKjUuS8sezQA8Hq7xPKo0x+1Ld+lWua9HzT3QYo5C76QcxBv/jPVL5YvQCY/4LbOfJl7u3wzFaDIkK6hAW9l1eNNxQBNw3av0xRJrRUpJplwZmbhnGH6pfEkf6M/ojzzr79msNh7ce0CG7On4bOpH/D5qGUFrj7i/I0LAmM7TmLR3eIrn8Cy5eOQKG3/d4RE/t2/VIff7LfN3kjpDKt4b2tYVxG3js2r9uXXxjkfANmhWzdzFPOvxndl/gX7NhnmkmojHZPYWj8HX7jP9q1+xxtnc12h0pylUaFyGZp29E9DGU/utaswfvoS46Dik1ERRyx5NmTvod/4ct9p9fl83HsrEPcM8rGFN3quHj5+ZNTM3Y/Yz0WFAa/KXzvOIq5YyUkoe3I/AaDI8dsWoQvEyogSV4qnx2dQPGfnOJOx2B0ajgcx5MlK/vXeG7heBsR/9yK1EWcbvXA5m4y876DO3m1fbyPAoLDEW0mdLl2xup5BbnqLGEmPl5vlbfFz+dyJCI3E6nFw8fIU7l4Pp9fMnNOtcnysnrnskYGzWuUGKc/3xi7lEP4j22m72M1O2vpZ/SqfT0ahTHbbM3+V2+Zl9jVR+pRylahVjw9xtxEXF4XRKzL4mOn/fHoBcRXN4xegkJbVLYE78dCYPQyLdYuL2xTss+H4JHwxv73XMlgU7GfPBNCQQkNqPEesHuuO/4pESr8D0Z0XwtftsmrcDh91Bnbeqk6tIdkJvp1xCB7T7uHDEMhb/sIJaravS4J3a3LsRgt3qeb1MPkZ6z+1GxhwJSSkddgf9mw0jKjy5+2bi/eFtvbbfuRzsJW51Bh0ht8LwDfBxxd15W3Ky5s3MpH3DmT1gARGhUdR+syotPmnCm9k+9BCLllgL237f7RZUp/ed5961++Qvk4dRG7955LVIfF4ht8JInTHQI1lpdEQMfZsO09y3Tkm9djXp9fPHXgsmHHYHO//cR3jwQ0rUKKJyTileKpSgUjw1ar5Rhcx5MnJ0y0lSpQugXrsaL2xOoaB1R722Hdt20uOzlJKJn85k3c+b0el1ZC+UlVEbv/FKwFikcgGObT3lFiYmXyNC6LDEWDzqqm34ZTufT+9Ck/frYbPYWDJhDTq9jnb9WlHttYqAthJQr9d5JIG8fzPUK85L6AQfDG9HxcZliAiL5Oz+i9RrV4OMOdNzcP0xMmZPR+eRHUiTMTVpMqbmxyOjWTF1Paf2nMMWZ2XLgl3kLZmLDNnTM+jPrxjS+gescVaPBJBCCPQmPRUbleZc0EXuXA72sMzYLHZunvcufXPzwh3Gdv7RLZ7C4x7Ss+ZA6rxdDbOfyb0i0mgyULxaoUffqKfAzQt3+LRiHywxFqRTsviHFfyw9VuyFczqIThAszAmlcwOu5M9y4Nc9RyTLmDQM+vsBA8xBRAe/ABLnOcqO6PJQKk6xWj9RYtkLZ7ZC2b1Kt7tdDj5c9wqNszZBriEysyPvQoY5y6Wk8FLenvOLUkbvU6H0awl15zUbSYb5m5Dp9Nhtzto1aMZFZuWpWiVgl4JOB/cf8iIDhM5tecc1lirllwU+GzahzTuVNfd38XDl90rF7cv3kvhSgVo8XHjRNfRwZf1BnPxyBUcdic6veDz6V1o0L6W17VQKP6NKEGleKoUKp+fQuVfzJgpD5KJOQlIneCmsNvsLJu0lo2/bNfiZWwOrp+5xQ8fTGPIst5cO3UDa5yNvCVz8fWvPfiq3mCunb4JgNPuJGjdEZwppCIQQtDikya0+KSJe1tcjIXv2ozh4IZjCAGvd29Klx/eRQhBhcaluXHulluImHxNvD+sLS17NOPqqRv0rDVQW1rvlOQvk4cftgzyeihmzZuZ6IcxXD52DUuMhcvHr3Nw/TFmnRlPhUalWRo+h4jQKK6evM6RLScJuxPOhSOXuXn+DsunrGP5lHXkL5MHo9noXo5v9jNTsqb3qrxLR654PfBjImPZPG8nOr0OnV6H0AkKVsif4uq2p8n8YX9qyVRdojQu2sLMr+fx6ufNvQSUNOjQ+xiRMVYPF6kl1sqeFQe1D67EmEazkZyFs9G9cj8e3HtI1nyZGbK8N7mL5SQwQ6D3ykcBbXq1oHzD5N3HGXOk5/PpHzHuo+nojXqkU1Ln7Rpsmb/LLdZ3LN5L5jwZeXfwW4897w7ftGZazzlYYqwIncAnwIfGnepw/tAl1s/Z5iEmF45cxrIpa8mUMwMT9wzDP9HfQv9mw7l47CpOl9h2uu7/pE9nUrRKIXIVyc7pPec90kBYYiyc3HnGQ1DtWXGQi0evesQB/vDeFH7++jcy5EjPFzO6kLfk4xcFKBQvKqo4suI/SYXGZTysDUInaPNVC0CLrXkr+0fM/Hqex0PHYXNwPugiXzcZSo9q/endYAjvFfkMh81O5twZ3bXK7DYHdy5r+ZTit5n9TNRvV5PN83fyetp3aWJ6m75NhxL9UHMJTes5xx0M7bA7WTV9E+vnbAXg3W/fovrrldDpdegNOpq8X9cdjzWq02SiH0QTExFLbFQcFw5dZs1Pm73O1+FwsGHOVvf5OB1OIkIj2bVkP6AFBqfNlJqy9Ury/tC2NHq3Drcv3MUaY8USq73OHbxEoQr5MJoNGIx6qresxGvdmniNlSl3Rq8ivaCJEpvFxhs9X+HPez8zYdfQ/0usTWRYlFf+r8iwKMZ/MNWrrZDQoHsTStYqis7g+d+jdEqkU6ITOtJmSUOtNlW4fTmY8OAHSCm5c/kuX9X/FrvNjsmsuQHNfiZ3qR2AQS1Hs9N1zeOJjohh07wdrJu9lbL1S7Hg5nTG7xzKwlszCL56L4nbzsqmX3fQOvMHNA/owNC3x6YYf/fKhw35+tce1GpTlSbv12PaoVFkypWR+zdC0Ru8/+uPi7Jw51Iwc7753b0tJjKWS4nEVGL0Rj1Xjl8DtIUYuiQFxbMXyurR/uH9CGSS74XD7iTkVhjnDlygZ61vCA9+kOy5KBT/BpSFSvGf5MufPyYiJJKTu88C2mqnBh1qIaWkb9NhRIREeh2j1aEzcnr3OXdgeVyMhbEf/sj1s7c83GHWOJuWnqBqIZwOJ+UblaZM3RL0azbMbWk6uvUUI96ZzHfL+3B060mP+CJLjIXDG4/T5L16GIwG+s77jN5zuoHAI47m3rX7HsY2S6zVIzbMjcTLbeh0OFn78xaafuAd8Pzg3kOvYrY6nWDwkq8ALZdUSmKoaOWCNHynNhvmbsfqCmCPx25zEH4vwsMC8qyp83Z1jmw56bGSrUSNImyYu83TOgVYy2Tn/T4t0VvsdC37FdEPY7DGWj2undOpldBp9E4d9q1MCGKXEmKj4gi+dp8M2dOxad4O1/lr+zULjp2RHSdS+ZU5mMxGHoZE0LVcb6LCtQUHeoOeCbuHuuOcMuZIr2VGdwkaIeDe9RD3d23vioOM++hH+s5LSNOQmBotK1OjZWWPbflK504xbs5mtXP9zE33Z5OPEW8nqIbD7iRL3kwAfD7tI3pU7edOXps1X2be/Oo19/VaPGYlG+duwxbnnWw0/to5nZK9Kw+yd8VBzh+6TNa8mfhy9qfkKJg12WMUihcNZaFS/CfxT+3PmG3fsvzhL6yO+Y33h7VDCEHUg2iikgkAN/maCEjrT/6yeT1W6TkdTq6dvkm+UrnRGz3dXNZYKxcOXabbpA94Z9CbHN9+2uOBYrfaObpVi9vKkN0z4N1gMpA5TyaP/vQG7+XlBcvnx5BoXB9/M0WreMcl6Q16chXJ7rX9xrnbyV6fwhULeLhwENpKyNQZAkmTMfVjLUs9pnzImK2DKd+4tOuhrGH2M1OlWblHHvu0qd+uJh8Mb0fazKnxT+NHplwZuHLyuldwOTrBJwPakD7QnzQZU/PTiTG8N7Qt+ct65wcLSONHmkypsds8Y57sNgeB6VPx4xdzObThWHKeZQB30tcfe80l7HY4cdEW4qItxETEMLn7LHe794a1JVW6VPj4m/HxN2MwG72E+4G1R/7S9ciaNzN9fumB2c/kldTW7GuiWLXC7s8Go4F3v30Tc6IAdJ1eYPYz0bxLQ3fW/Kz5MjPn/ET6zf+cwUt7M/nA9+78VbMHLODXbxdz7fRNtzBNKtYBkJL5w5YQtP4oYXfCOb3vPJ9X7++24ioULzrPVFAJIa4KIU4IIY4KIQ4m2ddLCCGFEBme5RwUikfh42f2yDPkn9rPQ6CA9iv9/WHtmHthEmXrFnenHADN7ZG3VG56zuhK1ryeAgi0X/zxAfCpM6TC6OMZ25TKJUx6TP0Q/9R++Ab44BvgQ8Yc6Xmr92spzvv62Vt8UqE3Z/adR280uN1wTd6rS523kk+O2bBjba8HWeqMqZJte+96CInzmwsEDTrW4vMaA+hWpS9bFuxKcW7xFK5YgG+XfEW11yqiN+ox+5po16/lc0ne2bJHM4Ys74PdaufG2Vsc33Zay1zvcseZfE1Uf70Sb7WoAkDIrVB6VO3Pz31/4/KxaxhMBnfsl4+/mfeHtyNfqdzUfbsGPv5mTD4mzH5mOn7TmlRpAzi86biHxTExRrORdFnSELTuCFt+2+nhHpUSj1QYJ3eeIWPO9KTLkoZmnRvQtm9Ld2B5PF7JOp+Amq0qs/zBL/xyeQolahTB5GPEaDZQum5x2vVr5dG2bd9WfLO4F+0HvMH7w9vxzR9f0n9BT7Lmy8z6OVuJjYrV5pHan8rNylGufkmPGL5V0zd6uC31Bj3vfvsWrXu96l4paDQbSZ89HWHBD9yVB6RTYrPaOecqi6NQvOj8P1x+daWUIYk3CCFyAo2A6/+H8RWKJ0an0zHg9y8Y+uZY9EYddquDZh814I3PXwGgxSdNOLz5JIc3HUen15EuSxpe7dqICV1nkDVfFsLuhBMTmZB3yGAy4BeoFZRt+G4dlk9ZR/C1+9oqJ52g+5TOAOQumoNZZydwZPMJjCYDFZuW9ViWfi7oIsd3nCFNpkAqNS1Dz5oDiQyLdBXM1ZEhezqmHRpJqnSpWPnjBvYsO0DaLGnoNORtd5LS5h83Ys3MzYTdDcfpcCJ0Oj6f9lGy1+GXwYs8LFRSSuYP/dNtYRj74TQA6rX1TItxcMMxlk1ag96gp82XLShRvQj9F/TUStAkk3LCEmvBaDZ6L693OJgzYCEbf92O2dfE+8Pbp1jGSErJullb2LfyEOmzp6X9gNakz5rWq90fY1d51GV0Op1kypaByq+Up0CZPDTqVMc9x2Fvj+f2pYRVjWZfE7VaVyFr/szUa1vTbe374qeu1GpdhduXgslfOre7dE767Om4cznYw0KlN+jwDfBl2Oq+6A16xnWZ7uWG1Rv17hWA2xfv5YcPprrnvHrGRr7+tTvpsqYhPPihu5RR/Hfor6I36MmcKyNjtw8h9HYYOr0Ov0A/jx8Y8VRqWpZKTcsCcHL3Wfo2Ger+Ds377g9+PDwqRTdu0nsrhDb2R6M6UrBsXo5uO0WWvJlo0L4W7xbq7tFWOqWHdUyheJF5XjFU44DewPLnNL5CkSKVm5Vj9rkJXDlxnQzZ05G3ZG52LzvA1J5ziI2MpdrrFZkaNEIrhBwZS++GQ9wPPb1Bj86gw2l3YjQbSZMpkIbv1AY0a9iUoBHsWLyP62dvsvHXHQx6XRNB3yzuRek6xb0ECsCm33Ywvst0HHYHBqOBjDnSY7fZExXM1QLMI8OjWTx2FUsnrNFyUekE+1cf5udT40ibOQ3+gX78eHQ0237fw9EtJ4mJjOXIlhMULJfX62FoifUOdE788LfEWFk6cY3HfPevPsR3b451u0QPbTjGiA0DKVG9iJeYCrkdRv9mw7l66gZ6g55PJ77HKx8mZOieO+h3lk5a67ZsjO40mdQZUiVb63DOwIX8OV5LYKk36Nn5535+Pj2OwHSe1rekyTgBAtMH0G3i+17bLx694uVai42K48imE5zZe4F3Br9J8WqFEUIrz5OUHlM+5LPq/TXRIQSB6VMx6M8vyV08JyaXhSm5HFU5Cmal88gOACyduNqrMPe62VuZfvQHNs/bSUxEDBWalHlsyaLHIYQgMiyKfs2GE3b3Ab4BPgxc9EWKqxEnfPyTx0q90FthLJ+yjnb93ki2fZsvW/DrkMVYY60Iobl967WrgRCCeu1qUq9dTXfbBh1qsXXhbiwxFsy+JvKVyk2RygWS7VeheNF41oJKAhuEEBKYLqWcIYR4DbglpTyW3C9WheL/zf2boYz7aDo3zt6iYPl8dPnhHX4fvZxTu86SvWBWGr1bh+/bT3ALha0LdgPQ66eP6Vb5a4+HnsPuQOgEeoOeGi0r8dm0Dz1cMmZfM3XbVqddrq6EBz8EICI0kgEtRjBk6Vcc2XISk4+Rxu/Vc+c2mvTpTPcYdqtDC0pOYtlw2Bz4BviwzCWmQBNAllgrO//cT4tPtOXrvv4+XD9zkz3LDxAXbeHQhqNs/30Pkw58T6o0CVntm3auz5Xj190ryHSuWnyJSbpSbMGIZZ4lVmKtLBm3ihLVixByK5R710PIXjArqTMEMrjVaK6euoHT4cTpcDKt5xzylcpD0coFAdwJShP3tX3RHi9BJaXkj7Er3e41h91BbFQsu5Yc8Mou3uKTxhxYczihLqOfmTc+98zuHk+G7Om5eT4hvkxv1BO07qg7T9SpPecYv/M7CiQTXwWQp3hOZp2ZwOFNxzGaDFR+pRy+Ab4ebcrULUHQ+oQ+9QYdEviy7iDe7tPSK/WE1kaPf6Cf+34+Dew2O70bfseDe9r3MfphDINbjWbO+UnJWvoiQjyLftusdsLuPki2b4fDweXj17Bb7QidIFW6AEZuGOiVtyueL37qSsmaRTm99zy5imbn1Y8bqbI0in8Nz1pQ1ZBS3hJCZAI2CiHOAv3Q3H2PRAjxEfARQK5cuZ7tLBX/WeJiLPSo1o+wOw9wOpzcvxXCgbVHcDqd2OJsXDt9g4Prj2KJ86yFt2dZEIHpArh45KpXn9IpcTgd7F52gJ4zunjtv38zlNik5UikpH/z77FZ7ej1On4ftZyC5fPj42ciJjLWo6lTSrIVyMzdK/exuArm1mtfk3RZ0nrnvpLSQwg57A6WTljtXjVms9i5dekurdK9R8ac6fluxdfkL52HJu/Vw261s2T8anR6HbXaVGXxDyvcwk6Lh/K0SDgd3ivHHA4nSyau4eev52EwGXDYnQxY2JOLhy97zMtpd3J6zzm3oPLx93TzaO4oT0GSMK7nOUtJsqvYStUuxqAlXzF/2J847A5e796MOm9V5/zN+1hsdgrlyIjZ5e76el4Pejf41tW/E6dTemQwt8RYWDtrM90ndUZKic1i86pFmD5rWhp2rJ3snAH6/NKNoW+P48jmE+iNBpwOJ9dducyGtx/P231aehXmjl859zQJuRXmVR5Hb9Bz+dhVD0HlsDvQG/SUb1SabYv2uBdYmP3MVGxcJtm+l09ex57lQe57HRsZx5/jVtFnbnevtuHBD9i9LAgpJe8MbkO6LJ5iLjYqlh97/cLpPefIXjAL3SZ9QIbsyQszheJ58EwFlZTyluvfe0KIpUBtIC8Qb53KARwWQlSSUt5NcuwMYAZAhQoVUlgro1D8My4evkxMRKz7P3yHzYnDlij3lN2J3WZHb9C7g2VBe+Avn7wuWTdSPDq9jvDghx6WiZO7znDp2DXPFXRoLrT49AIOuxOH3cKJHacBLUeWTidwuMbSCUHfeZ9x/uAl9q08SGy0hYw50xMTGUvTD+qxbpaWb0oIgcFkoHrLSonOx+G98sz1+f6NUHo3GMKCGz9i8jHxatfGvNo1wRJSqWk5/hi7EofdQYtPmlDOVfZm68LdrPxxPXExFs/En74mqreszISPZ3jUpxvWdhwBaf15eD8hNYXD6WTr77vJlDsjNVtV5sORHfmuzRgssVa3mHqtW1OvayyEoH77Gmz7fQ8Wl0vJYNRTpXl5d5vLx6/xzesjuXcthHRZ0zJ4yZcUqVQQm91B1wl/cOrqXXQ6Han8zMz56m0ypQmgcIX8zDk/iXMHLuKf2o8f3p/C7UvBScbWsX/NYYa3G09cVByZcmdk2Op+ya6mTA7/1P58v3YAUkq+rDuY4677Ddr34eTuswxd1Zdlk9YQGR5N2XolSZMpEIfDwS+DF7F1wW58U/nQZfQ7lGtQ6onGTI7A9KlwJBHDdpuddC4xdfXUDQa2GEHw1XsEpk9Fn1+7Ex0Rw/5VhzGaDXT67m0qv1I+ua45teech6XRZrFxZt8Fr3Z3rgTzSYU+2OJsSGBWv/lMCRpBtvxZAM0S2a/ZcM4FXcJmsXH97C3OBl1i9pnxXpY/heJ58cwElRDCH9BJKSNd7xsBQ6SUmRK1uQpUSBq0rlA8CZHhUZzafQ6zn4mSNYsmG0z7OIw+Ji/3WVL0RgO+ZgOxUXHYLJq4qtW6KiumrnvkcXHRFnrW+oaBi76gRPUizOj9CyunbQASAnMNJj1CCHR6HTERscn2I50S//T+xETE4Z/Gjy9+6kr+0nnYs/wAhzad0LJS7zrD5l93MuXgCNJmTsOe5UGkzZyaj0a/4+Fe2bfqEAFp/ZNNdgnaA+/OlXvkLprDa1/RygUZ+PsXHts2/LKNiZ/MdD80DUY9eUvlIiCNP237tkI6ZbLFlz8c0YFJrvQAlhgLTruTcwcuMvKdSTwMiaD5Rw0ZtXkQ2xftwdffh1e6NEzRTfT59C6kzZyG/asPkyZzaj4Z/567rSXWwlf1vyUiVBNvobfD6NPoO367Oo0/9p/mxJW7WFypD+KsNr6bt5FJ3VoCkDZTarcwa9f/DSZ1S3C9+vibqdqiAoNeH+U+9+Cr9+jdcAjzr03zCsR+FEIIrySi8deydJ3irJm5mfMbj3Px8BUWjlhKhcalObjhuHvcb14fydjtQ7wqFNy+dJcbZ2+RNX+WR4o8v1S+fPTDO8zsM88d69agY23yl86D3Wbnq/rfut2BD0Mi+a7NWOZenEyajIHJLjRITM7C2TxEtk6vI3uBLF7tfu77GzEPY9x/i3aLjZ/7/sbARb0AzXoVL6ZAsxrGRsZyeu/5FGO9FIr/N8/SQpUZWOr6gzMA86WUj34CKRRPyM3zt+lRrb9mcXFKchTOxrgdQ/5y7cACZfOQv3RuLhy6jDXOhtnPhH8af6IfRGOJsWI0G8iQPR2jN33DwBYjuXLiGg67g9UzNpIlTybu3Qhxl/Ywmo1Ip9PD+hR2J5x+TYcxcuNAlk9Z7yEsDCYDHQe9SYEyeTi5+5zLpZZ81uuiVQrx7rdvERkeTcFyeXE6ncwfttSdB8lmsRN6O4ygtUd5vVsTStcpTmD6VB4P0vVzt3rEYyWHzWpj0y/bWTd7C0II2nzZgtZfvJrigzPpnO02B4XK5ePLWZ8CWsFfW5L6dEII6ratQYmaRfmp9zz2rghyP0gtMRZ+++4Pmn/UkGJVClEsmZxaSdHpdRSrVpjMeTJRtEpB8hTP6d53++JdbFbP9AVCCK6evM6F2yFuMQXgcEou39UKJl8+fo1dS/Zh8jXT6N3aNO5UFx9/H9bN2oJvgA/t+rXi7tV7HnFkUkJkaCQP7j30clc9jrZ9W3Fm7/lE8V0m3ur9Oke2nGTvioMeQeC7lwclzmihLRCYsJrWvVqQt2QudDoda2ZuYupnszGYDNisdt799k3e/DJld+HrnzalRLUiXDp2laz5MlOqVjFAS58RF+3pDtTpdVw+dvWJhMxbfV5n78qD3LkUjNAJzH5mekz90Ktd2J0HSZKnSo+4LIPR4JEgFjSrVXJxZgrF8+KZCSop5WXgkX9xUso8z2p8xcvNmM7TiAqPdv8ne+3UDZZNWstbvV//S/3o9XpGbfyGJeNXc+XkdQpXLEDzrg35Y8wqTu46Q45C2Xhn8Js8uB/BjbO33LFHcdEW7l69R4tPGnNy1znSZU3DR6M6InQ6Pir1hUcOIp1ex4kdZ7wsNSazkUpNypC3ZG7K1CuBLc7K+jnbcDqcREfEuF2MJh8j0Q9j+KL2N9oDRMCI9QO8yrtICdfP3GR81+k4HRKHzU7dtjX44qeuCCFY+P3SR4opBJRvWNpjdd3cQYsITJ/KXQTX65BkhJYjkRs0a77MfDKuE1M/1x7uTqdk0J9fYvIxkb1AVnIXy8Ge5UEex9tTyOKdHE6nk29eG8mx7ac0i5uEz378yB27FJgh0CuBp81qJ02m1BS1ZGLr0YvEuQSfQa+jcI6MHNt2iv7Nh2ONs6HT61j8w3KmH/2B2m2qUrtNVU7sPMN3b40l5FaYl+VNSpls0tMz+y9weNNxUqUNoOG7td1JL+MpV78kw9b0Y9nENQidoNXnzSlRvYir/FDSuDjv67Bt0V52LT1AsaqF6fNLN6b0mIU1zuYWaHO/+Z1arauSJY93rrR4CpTN6xVkH5g+lYerGzR3YNrMaVLsJzG+/j5MOTCCU7vPYbPaKVa1EH6pvF10VV+rwPlDlz2y2Vd5tYLHPKq+WoEDaw+7f+hkypWR4tULe/WlUDwvVOkZxb+S4Kv3PX6xWuNs3Eym5Ep0RAz7Vx/GYXdQsUkZ0mRM7dXG5GPi7a9bemxLmtzw1sW7Wib0RF45o8lIg4616Tqmk3tbTGSsV1yVw+6gQNm8Xq5FnUFHVleMiF6vp/OIDnQeoS2Z37MiyB0QXqhCfpZPXuthpRj1zmTK1i+pZV93uUGEDtbN2uKxHH/b77up9lpFqr5a4bGuzTzFchIRGum5ui7GwtaFu70Elc1qY3zXGVw9fcOrn6iHMR6fG3SsRdb8mbHEWilVs6hHioY6b1VzpzwA7UHarHODR84zMYc2HufY9tPERSXMeXyX6dRvXxOdTkf6rGlp8+WrLBm/GqdTotMJGnWqg9FspHaurAQVzsmBszfQCUGmtAEMaNeA/nUHu4Wnw+kg+kEMf45bRZcf3uXOlWD6NRvmcS/i0Rv0lKlXgvEfz6Bys/LuvFnbft/NDx9MxRZnw2g2smTCaqYdHuUlqkrXLk7p2sUBuHcjhH7NhnH5xHUPcS4EpM4YSGxknMeKSrvVjt1q59Tus/w5fjV6owESHWc0G7l3PSRZQXVo4zFWT9+IwWzkzS9beIiqgDT+vNajKX+MWekWckUqF3SXxnkSDEYDpesUT3H/1oW72TxvJz7+ZuxWGzq9nqad69Om16se7fov+Jw/xq7k5K6z5CySnQ4DW3sVAVconidKUCn+lRSpXJDwew/dS87NfmZKVC/i0Sb83kM+Kd+b6IcxSLSYlMn7vyd7gb9eGyx3sRyYfEzERsZpSSp1ArO/2cOl5rA7GPvhtER117QSHZWalaNs/ZIMX92XQa1GExUWRZrMqfluxdceyTvjiYmKZfNvO7l45ApmfxO+AT4eD0/QHrhTgkYw4eOfOLr1JGmzpKHn9C70qNrfo53dZufmudvwKrTs0ZSZX89PEEwCzD4mhF6g0+n4el4Pfu73m8fxQggC0npbXGb2mcf23/cgHd4i7cye8+73N87doledQVhirNhtduq3r0nPGV3dlq28JXMzYv0Afuozj9iIWOq2q/HIDPFJeRD80KvSnN3mwBJrdQuW975rS/mGpbl68gZZ8mZi6cTVvF/0M4ROkLNIdn5Z1BO9r4lcmdJi0OuITiIIHQ4nEWFarb1j206TElJKjmw6gd3mYMfifdy+eIe2fVsxufvPboFmibUSciuULb/t5JWPGibbT2x0HD2q9Sf87gNX8kzhjrlLny0dIzYM5O6Ve2z/fTfbFu3xEHeWWCvhd8NJasay2xzkLJzNa6w9K4IY3na8+/u1d3kQ4xKlg5BSsmPRXo9jzu6/wOHNx4mLtpApZ4YUU0c8CbuW7mdM54TkpWY/E1/N7pZsEle9Qc9bvV/nrd5/eziF4pmiBJXiX0nPGV0IbnKfK8ev4XRKGnSsRaN363i0+fXbRYTfe+h2WQidYOpnsxm2ut9fHs/Hz8y4HUMY+vY4bl28S85CWem3oKfHUvnfRy1n36pDbsuZTi8oXacEAxb2RAhBiRpF+SP4Z6xx1hRjvSLDo3i3YHciXQ/w6IcxHFhzWIuFcVkcdDpB7qI58A3w5etfe3gcn61AFm6eu+VeyWcwGshRJDvD2o5j++K9ICFtljTkKZ6Tt79uSWRYFNZYK2UblCRDtnS8P7QdJ3ac0VxZQuDjZ6bjN2285rl35SEvkRePwZQQ1zL0rXE8uBfhviYb5m7n/KHLNOxYm5afNUOn01GiehEm7Br6JLdByzs1biXLJq5FCEHj9+p4WAR1OkH2glm9rD+lahWjVK1izBv6h3Z+rmt57dRNlg1dwleumC+A2m2qsnTSGo+HfK3WVQm5Hca87xYna50CbfGA3TUXS4yFeUP/5O2vWxIb5dneFmcnMpmknvFcOHSZ2ESWTumUmHyNjN85lAJl8yKEIEfBrFRoVJrQOw84vOm4O02E2c9M0cqFaPRuXb55fZS7j37zP0vWTTfvuz887mNcjIUlE1ZrhbjRLK6ht8M99JnT6aT/K99j8jHisDtp+kE9Pp3gmRw1IiySHYv3YbPYKNeoFBcPXSEyPIqy9UqQu1hCjNuKqes9k5fGWFk5bX2KWfEVihcZJagU/0pSpQ1g8r7veRgSgdFsTLae2b3rIR7xH9IpuXTsKiumrqfa6xXJkC2dR/uIsEiunrxB2sypyVnYe1VUjkLZ+PHwaI9tUQ+iWTJhNfdvhnI+6FKSJJ9OQm+HesQZCSEeGTj/29A/3WIqHrvNQY68mQi+eh+9UU9g+lQMXNwr2eMH/fklX9YdjCXWgt1qp3nXRhzbdpKdf+53r+qLfhBNjVaV3WkPElOgbF6mHRrFlgW70OkE9TvUImvezF7tAtOn4s7lYK/tgEd6g1sX73i4Zh12B5eOXuXm+TtcO3OTL2Z0TbaPDb9sY9Ho5UgJb37Zwu1yXP3TJn75ZpE74ejvo1bw6seNWPvzFmIiYslVLAfDVvVNtk/QrCuJBYTNYuO8q1Zc8LX7rJi2ntiIWCo1K8fRLScT0gI0K8cnFXq7ahx6E1/nL/H3Lf59hcal2bvyoPv6O51Ojm8/xVu9X0s2Bs3kY/RagSmdkDZzanf7uBgLW+bvolCFfFw9dZ3IsGicDgeVmpal2UcN0Ov1/Hn/Z8LuPCBt5tReObKSzjEx9kSLCHwDfDCY9B55vWxxdo92a3/eQv32NSlSScshFh78gC5lviImIgaHw4njC4dWf9BVfmjQn1+6s8snrUuobVOPJcW/E/XNVfxrEUIkGxMVT4XGZTi69ZRHTFD4vYdM/3IuswcsYPKBBPffqT3n6Nd0GEInsFntNOtc3+tXd1Jio2LpWu4r7t0ISdb1pU8UI/Wk3LmUvEgpXac47w1tS/TDGDLnzpji6qbcRXPw29Wp3Lp4l1TpAsiQLR1vZHrf44FojbOxY/FeWnzsnW37ysnrhAc/pMUnjR95bT+d+D69G3yLJdbqfvjr9IKMOTPyRs+E7ONZ82Xh2qnrXrmvLDEW1s/eSvfJH3jFwWxftMcjFcPET2ai0+lo+E5t1s3a7BZT8f1cOXmDZeFz3YknH0WeErk4svmE20JlMOrJXSwHwdfu07XsV+4YOL1BT4Yc6chdLCclaxbD6XRy8ejVZFNNAGTOk5GwO+EJCwl8TVRpXh4hBB983569Kz1qw3N8+2mun72VbHqKguXzkbdkLi4evYI1Vlt5WrFJWXcSy7gYC59U6MO96yHYbXYMBj2dR3agSvPyZM6dESEED+4/5My+C/gF+pIhRzqvMeJ5vXtTpnw2OyGGzdfEK10SXJE6nY7ec7ox6t3JWi42hwNrnM3jOuj1OoKvhbgF1cKRy4gIjfT8ziUSsWM//JEFN6YDWqzisa0nPZKXplTCRqF40VGCSvHS0uKTxtw8f5tVP27Q4pqElpHbandis9qZ+fVvDPrjSwAGtxrtkZF87c9bOLv/ApePX8c/tS+fTfuI6q9X8uh/19IDhN4O9xJTepMes9mET4AP7w5+k9kDFnDvegjlGpSiQcdaXlYJKSWht8Mw+ZooU684QRuOut17oD303+r9OqkzBJI6QyBXT91g0qczCb0TTrmGpej6wztafFdULJFhUaTPlo68JRKqC0Q/8HYvJa3VJ6VkfNcZbP5tBwajAafTyfDV/dzFfpNStHJBfjwymt3LDrBy2gaCr91Dp9NRv30NjKaE/1YGLvqCL2p/Q1xUXLIuwuQEyqoZGz1EsDXOyuj3p2AwG7hx9rZXe39XBvUnWULffsAb7PpzH7cuanmEnU5J866NWD5lrceCAofdQfDV+9y7HsLpveeYdWYCfql8veKr4rlzKRij2UiuYjmwxlip0KQMH499V+vLZsfH30xskqLZyd0X0BYojN48iD/GruTqyRsUqVyQ17o1ce/f9OsO7l2/nxA4b3Mwf/gSXndZBi8evcKXdQcjpUQ6JQXL52PkhoHJ5mlr+kF9hE6wYsp6jGYDHQa2dgfGx1OrdVXylc7DxcOXSZ8tLUPajHXnpQKtvEy+Ugnft/C7D5LNVB9PYndn8WqFGb1lMCumrkM6JS0+bfJEqTIUihcRJagUT5U7V4IZ+uZYrp25RebcGRmw8HPylnzyFUH/FCklvwxexIqp6115lF5lVcxv9K4/hBM7zyS0S5Tnxm6z8/D+Q49+rHFWzh/SyqNY46x832EC43cN9ShEa4mx4kzmwZEhWzq6TfyAwhXz81n1Ady/GYrdamfX0v1cPXWdD0d2dLeNCI2kd8Mh3Dh7C6fDScN3alOvXQ02zt2OlJKseTMxdFVfsubT3G4ht8P4rHp/YiNjkRLu3wwh/O4DStbScjrpDTr8U/szevMgd8C8bypfr0K8FRqV8fh8eNNxtszfiSXGigXtQf1t6zEsvjsz2evsdDrZvSyIpRPWEHY3HOkEu9PBknGrtfqH79QBIFeR7Px6eQpn9p3nuzfHurPSm31NVGhShjuXgxn74Y/cux5C8eqF6Tm9C2Zfb/eUdEpGd5qM8ApBJ8VyLE6nk30rDxF29wHFqhYiX6ncxEbGEnonPKGNw8nQt8dR/bWKyWa9l06J3WonaO0Rev38CSM7TgShuWGlqyRNPDaLjTQZAxmzVUskGrTuKEazkeLVC+Mb4ENclEVb0OAKMM9TIuWSWiaflC01kWFRXpn2YyIShN6IjpM8hN+5oEtsmLONZh8mv3qyyXv1aPJevRTnAlrR5hwFNWvuiPUD+LrRd8RGxeF0SnpM/dDDRV7l1QrsWXEw2ZxqBpOB0nWKeWwrWrmgu+SQQvFvRgkqxVPDbrPTq/YgQm6HIZ2S62du0qvOYH69PNljqfyzZOnE1Swes9L9n/m8IX+QOmMg1V6v6JXnptprFQEtcDtDjvTcvxHq7kc6JTJRJK7d5uDolpMegqpC49KgE5DEypIhezqqNC/P9sV7eZBoJWJctIU/x63m/eHt3AVfx3SexrVTN7C7XEVbFuym++QPqNysHBvmbCMgrb/Hg/7g+mM4HU63C80aa2P3sgMErTviWjqvuVcGNP+eXy5OBqDDgNbMGrAAq6s0i1+gH6985PlwvX0p2Mta9PB+BA6HI9nitD/1mcfKaRu8HppxMRZ2LzvgFlSg5SIqV78UUw+OZOpnswm+dp/yjUrzxuev8GGpXkQ/iEZK2LMsiPs3Q+k6phNHNp/EGudp0XLYHNr1ToTeqCdrfu8YL4fDQf9mwzm19zzS6QQJX8zsSmD6QC9LliXGQqk6xdn8287kA+1dmexrtqpMzsIjOL3nHGkypWbtz5vZt+qQR9PYqLiEpLM2BxJJplwZGb66H6Pfm8rN87dJny0tnUd2wOTjHT8UGR7FuaBL+KXyoUjlgslmXC9bvwS/DTW452o0GyhbP6H0TMjNUI/2lhgLd67c8z6vv0n+0nlYeHsG4XcfEJg+lVd8Vt23qxN89R4Lvl+Kw+6gUIV8XD6mFdouWbMIfed99tTmolC8SChBpQC0MhUPQyLJXSxHson3nqyPYCIfRHs8mJ1OJ5eOXXNnXn7WbF24x+MhHxdjYdvC3Qxf25/QW+GsmLYeJDT70DPPzXcrvqZ3gyHYrDZNAImE4FvQLBlmPzP7Vx/iyJYTpM+ajuZdGzLw9y/4rs0Yt6XC7Gui8/ftAc1i4VU2z1WsOF6knAu65BZToD38Nv6ynbMHLmgZ2AXsWnKAKUEjyFUkOyazQUtGlJgkH6WEu1eCtfgao4E3ejYnbZY0bF+8h9TpU9Gu/xteRWXzlcrt1W/mPBmTFVMAq6ZvTNYCodPrSJdC0setC3YRtO4ooFlg8pbIhcOeIA5tVjvngy6Rs3A2Rm0ayBe1B3kWUHZKD/FqMOrJVzo3qdIGeI0VtPYop/ae9yj6O/bD6UzYPdSdXT4eh91BlVfK0fe3z5jZ9zdCb4dhjbW5Y7L8UvlSoGxeFo5Yis1qp1abquQumgOH3cGRLScSrQY00+id2ozrMt0j6ezti3fZsyKIifuG07fJUM4FXWJ0pymkz56O8Tu/I3WGQECrmfdFrW9wOp047A6KVinE92v7ewnAIpUK8tXsT5nYbSZxUXGUrV+Sr39NKDZcsFw+Tuw843a7+fibKVKpQLL35FE4HA6untTEfr5SuTxi3fR6fYqFiYUQtO3birZ9PXO5xV+Px5WrScydy8E8DIkgd7Ecqmaf4oVHCar/OFJKJvf4mXWztmIw6tHpdYzeNOhv5ZYJSOOHI8nDym5zJJs5+lmRKp3nWEIIUqVPhU6no8sP79Dlh3eSPS5/6TwsuPEjty8FkzpjIMPbjefolpMJDaRk64JdbiuXycfI2p83M+3wKOZenMy62VuwWx3Ufbs6+UvnAaBcg5Lo9TqE0ESOycdImbolPB5MWfNmcrnMtIeNydfElZPX3Q9pKSEuJo7VMzby8dhOlG9UGqPJgEUnkE6J2c9EleYV2L/6cJLrEOARM1OvbQ3qta3h6lMSdjccIYR7KX3xaoVp378Vv3y7GIPJgI+fme9WfJ3idU7ukag36vFP7Ue7/pqryul0EhUeTUBaf4LWHWXB8KXuh/ylo1dYPmktSfMlSSkxmg0Ur1aE3nO7MbbzNI/ElqClvwhI40fx6kX5atYnSCkJD35AqnQBGE1GYqNiOb33HM4kBX9tcVZyFslO/fa1WDdri1usZSuQBZOvieqvV6L665VwOp2snLaeA2uPkClnBpq8X5eeNQcSG6XlIFs0ejmjNw+i5htViHoQzfzhS3DYHbz2aRNe69aUP8at8ljZaLPYuH0xmEWjl3P2wEV3gPbdy8FM6jaTAQu1+ogj35lE1IMot8A8vfcc62dv9XLVRYRpAd+fTnifik3KeAnKvr/1oHfDIdy+FIzT4eS1T5t4xf89jvgaiFdOXEfoBOmypGXC7qFu8fdXiYmMZejb4zi04RgmHxMfjuqQ7KKIeKSUTOr+M+tnbcFgMqA36Plhy+C/lFBUofh/owTVS4TdZif42n0C0vg/8X98B9cfZcOcbVhjrVhdMdmDW41m3pWpf3n8dFnS0uzDBqyfvRVLjFVbndS0LHlLphwr8rT5YHh7Tuw4iy3OqiWu9DXz7uA3n+hYk4/JXQcuJknwsZRwctdZ94PSGmfj/q0wdi8Lol7bGnT69m2v/gwmA98u682cgQsJuRVG2Xol+CTJysFesz6hR9V+xEbFYbfacdjsOO1JXEFSu7c2q42+TYcRFx3nFmDWWBtl65fA7Gdi+6K9GIzaEvf+roe0lJKgdUe5deEOeUvmomiVggxoPoJTe84BUKZeCb5d+hVGk5G2fVvxSpeGRIRGkTl3BqxxNkZ1mszpvefJXiALPaZ+SObcGQF4rXtTlk5YgyXGghBaken2A96gWef6pMmYmlN7zjHw1e+JjbZgMhup/Ep5j9V5dpuDm5fukDVfZm6cu40tzoaPv5kmH9R3p5Wo364mqdOn4pvXR3rEDPn4mRm54RsKlsvHlZPX6VzyC7fbsOOg1iz+YSU2qx1rrGf5n9zFcmAyGwlMF4Ber3MLqruX7/HrkMW8P7Sd1lan47VPm/Lap1qQ99iPfiQmIqFwb1y0hRlf/crY7UNo+kF9mn5Q3+N2lahRhLA74e45+/iZKVW7GPtXH/ZY7Wa3Obh8/Lr7892r9zxWQ1pirNy66Jn9/971+3xS4WssLneoj5+ZaYdHeaQASZclLT8dH0t48AN8A3z+lmVn/vAlXDp61S1mg+PuMbn7LPov+Pwv9wXww/tTObrlBE6Hk7joOKZ9PpvbF+/y7pC3vHKGARxYe4SNc7dhjbO55/DtG6OZe2Hy3xpfofh/oATVS8LtS3fpVXcQUeHROGwO3viiOR8Mb//Y426cu+3O7B3PvRshruDZJzPNR4ZHIZ2SwPSp+HTC+5SrX4rLx6/hG+DDloW7aJ3pA/KVykWfX7qn6CZ4WuQvnYdph0exYe42zH4mGrSv5RYBABcOX+b6mVvkKJyNwhXyAyQbJ5SvdB6unLjuLuxr8jF6WUqkU3q4lOJxOByMfGcSO//cjxCaC+bHI6OTzZWVo2BW2vRqwa9DFmvH2rUHjt6ody/BN/uZaPROHfatPMSNc7c8xIWUkqmfzWbqwZG89mkTwu8+IH/ZvO4H7Lgu09m6YBcOuxO9QRMVV05cd5erOb7tFPO++5P3vtMEYWC6VASmS4WUkl51BnHxyBVsFjt3LgfTvUo/5pyfiF8qX94f2pb0WdOya8l+0mZOzXtD25ItfxbiYixcOXmdfs2GEROhKXQtIH+f1zVMnzUdE3YPY+nENdy5HEzJmkVp0KGWx/Up26Ak2Qtm5eb5O9itdgwmPemzpyNPiZxIKfm68VDCExXRnd1/gVeKBoA8JXIydKWWn+r4zjMeBZstsVZO7DjD2QMXGNFxEmF3wilUIT/95n9GuixpiQyL8irbkzTIPzHdJ3fm3rUQzuw7j5SShu/Wocn79Qi5HcbB9UfdsU8Go95jdVyBMnlcrjrt79HH30yh8vk9+p7R+1ciw6PcYtAWZ+XnfvPpM6cbty7e4di20wSk8aNqiwp/uUBzYi4fu+Zxr+w2B1dOXPvb/R3ZcsLje2u3OVg6aQ37Vh7UyvAkEX03zt7ycIUD3L16/2+Pr1D8P1CC6iXh2zd+0Jbwu/7jXzZpLaVqF6di4zKPPC53sRzoDTpsicJhsuTJ9ERiym6zM6ztePatPAhCUKpWMYYs70211ypSpl4J3sn/KRGhUUgpOb7jDL3qDGLWmQnPtEL8tdM36NN4KA/vR6DT68hRIKtbUC34fgm/DfsTnV6H0yFp+E5tDqw5zP0bIaTNkoZBf37lXrLd5Yd3OLP/AveuaTUDcxXNgdnX5GGlctgdlG3gnRxz2aS17Fl+0B2MfuHwZaZ+NpuvZn/q1RZg36qDboEDrkSehbJi9jPj42/mve/aUrhiAS4du5ZsviudQcf2xXspXac4ZeqVcFt4rp2+4V65B2CzwPmDlzytILFWTu0+y/lDl1g0ajk2i51XujSkQNk8XDxy1f0QdDqcWGItnN57ngqNSiOE4PVuTd1L9QG2/7GX0e9ORkrpJT6NZiPps6Ul5GYYCE2MZsqVgfZ5PsY/0I8KjUsTducBty7cIUehhBIper2esduHMPWz2Vw8coW8pXLz6YT3MJqMRIRFEhEa6TFOUjGlN+h599s3PeJ5shfMwrmgi27BqjfqyZAtLb0bDnGnNji56yx9Gg1lxrEfqPNmNYLWHfVY0FD7rWrERsexb+UhrHFWyjcs5f6x4B/ox9jtQ4h6EO12nwK81ft1jm45ybmgS+h0gvTZ09F9cmf3vPr82oOv6n/L/eshOBxOGr9Xl1pJMobfvxHqEVfmsDu5d/U+R7acYGCLkYDmEs1RMCsTdg9NMaFnUh6GRDB30O/cuXyPcg1KUqBcXg5vPuG2qBlMBgqWy/dEfSVHYPpUXiLUaXdy/2Yo62dv4/XuTT325S6WA4NR75FkNEvelAs7KxQvAkpQ/Quw2+ysm7WV25fuULhCAWq1qeoleK6fveURDG6z2Ll87NpjBVX5hqVdeXjWYTQZMBj1fLv0qyea18KRy7TVZa4H08ldZ/i573w+Gf8eFw5fxma1u8WH0+Ek7O7/2HvrwCrO7fv7M8fjCSHB3d2huBW3IsWLF4dS3N3d3a24u7s7geAQCIS4y9F5/5hkkskJtN/73tsrv6x/4JyMPCNnnj17r71WBF8/BP1DXnp/BaIoMqrBdEI/h8nfzeuxgnxl8mBw0rN92j7FRH9s9Rn5/2EBEYxpOJ3t71fi4uGMs7sTqx/M5YPPJxAgT4mcjG00k5ScH0EQ+Pz6q52SuM+1FwrCttlo4fnNl98ct0sGZ5lnlbTdfKVzy9was8mMKcEktZunEegaY03smXeYfQuP4ezuyND1/chWIDNPrjy3y7yp1GpERGyJWRC1Vo1areL36hPlrrr75x4zeMWvCh4QSEFQSo2plAj2D2Ve1+XftKOxmCxMPTSKz2++EhcVz5ktF3ly+TmmBDNRIdEcXXUGlUbF9ml7mX9hMoUqJJOoXTycGbV1kN02ndwcUWtUWFLsUhAEqTszcehavUYh2xEaEE6FhmW4f/ox8YkWMi4ZnCjfsDR3EgnzIAXL/q++EB0WQ822VQgPimTH9P3YrFYa9axLs3716VNqOBFBkYiiiEqlYuGVqTJ/DrDjDur0WuadnyRnX6SgQSPv7+Nzf3rO7ESm3BnJlNMLV08Xu2MuV78Ubx9/UNjilG9Ymvk9VyruuU8vP3N26+Vv+gWmRHxMPP3LjyIsIByL2crTq77UaPMDRX8oiO/tVwiCQOY83vRf0v1Pt5WEx5ef8eiCD+7ebjToXpuha/syruksu0YGs9FCZEiU3frlG5SmYY86nFh3Do1Og0arYfJ+STPuw7NPRAZHkadkTlwz2J+jdKTj34X0gOo/HDabjTGNZuB76xXGOBMGJz1Pr/kycGlPxXJe2T0VViBavYasabSTp4U+87rQ6rcmRIZEkb1gVjvD3m+V/3yu+iqsVkwJZlnrycHZYKfrY7VYcXC250v8sxAdFkNksPLhrFarefvwPVnyZUKj09hlThQQBPyefZLFLDVajYKc/+LOa0UGxGw043PNl/L1Syk2k6NQVrR6rZx1UqlVZP1OENlzZkc5uEgyLO46pR1Wq5Ul/dZxetNFAKq0qMDEfcOY23W5nIEDEVFEvg7x0fGMbTRDIqw76TGm8p2zWqwSo1xI/vzo8jM5wAJpWweXnqB660rcOCzpCWkNWrLkzURMRCxzui3HNYMzPw9rJmdlPvr6o9Fp7AIqg5MeURSp3b4a09svIio0mkqJti6pSzo2i40Ei5HVQ7ew6Oo0xd+MZgvBETFkdHPGkBjUqdVqRm0dzJwuSyUVb4uNEjUK8+CsxNURBIHqrX+gUpOyANw785gpreeh1kiZj7I/lqBZvwaUqFGU5zdf2du9iCIGJ+m3kDobt3niLllfLAlL+69jyfUZ37zOIPGzUnrZgaR5NrTWJD4+95eMkFUCiy5PTTOg6jSuNQHvArmw8xoAtdpVpe2I5uyceSDVNs2yztqf4f7ZJ0SHx8jXwxhn5PyOqxyJ3kbwp1CsZgvXDt2hX9mRqLVqukxqS91O1RFFkct7buDn60+uItmp2bYKgiBwbO1ZVg/djDHehM6g4+iq06y4O5vVD+YyvcMiPjz9JDcn6By0lP2xpN2YBEFgwJIe/DysGZEh0eQonA29g46FvVdzYcdVNDoNoigy+/SEdA2rdPzHID2g+g+H763Xkv9Y4oSZEGvk+NpzdJncVvF2Nn7374z8cSoglYwqNSlHtVaVvrvtawdvs2b4VhJijdT8uTJ9F3ZVdIbtnnuIbVP3YTFbqNayEiM3D1CUELIVzMLjy8/lSUWtUZEtv2S1UqBsXopXK8LTq8/lQLBWu6oIgsDWKXuIjYilastK/1Q5BSc3R1SpdIpsNhsZs3uSrcCfZ8UsJgvu3mnbrQS8C8TgZJB5QSBlBzyz2tt6dBjTklvH7vP1Q5Dk3eeo57eVveyWS4JntgzMPjOBRxeeolKpqN2hGplyebFv4VEu7LwmB6Z3Tz4kcx5v9gVuIORzKO+ffmTL5D28vPNGsb2kwCB1MJW8gPKjzWIvaGm1Whm1dRCHl5/C5/oLchbKipu3G7M6L8EYZ0KlVnFu22XWPV1IhsweZMrtreAlgVQmGrisJ87uTsz+ZalsKnxmy6U0eU5JiApXehneeP6BkWulzjkRmN2zCTVK5sVqtRLkF0zhSgXQO+hp/GtdFvRclRzIC5LFi81qQ6VWMe3nBQpj44cXfGg78icMjnpK1SpK/rJ5eX3/LQlxRgwOetqNaiF5Dj73J3vBLIqSV9CnEEUwBUgmwon48OwTU1rPI+BdIJlyeTFx33BF9ioljq05y/unH+XymiDAvB4rWXlXKuF9fPGZJf3WEvwplJK1ijJ45a8M39AfSFaHL1G1MA8v+shj0hm0f/m3lZagKQCiSPYCWdi36Ci7Zh2Uz92iPqtxdnfk0t6bXNt/i4RYIwYnPbdPPGDUlkGsGb5Vfl6Z4k0E+gVz7cAd6naqzqLLU5nVeSn3Tj9C56Cj38JulKiuVOMPDQjH59oLHF0dKFu3BN45pZL93VMPufjHNYzxJjlwn9pmvmxjk450/LuRHlD9hyM+JiExE5EMtVpFQqxREVAVLJePrW+X8+bhB1w9nclXKvd3eVA+118w+5el8oPv1MYLICBnvq7uv8W2qfvkFP3No/dYNXQLv638Vd5Gt6ntuXf6MeGBkQiAg6sDfRd1A6RsUd4SOYmJiMHN04XaHapT5scS9C41jOiwWKwWK8fXnmP4xv7Ualf1n3GqUGvUDNvYn4U9V6HWqLHZbNRsV4WilQsiCAIzjo9lYvM5xMfEozVoyVU0O28ffUBQqVCpBBp0r63g7yTh5MbzrBi0ESExWNPo1Gh1WnIUzkaD7rXtlndwdmDF3dk8u/4Ss8lCsSqFZG2v2MhYlg5Yz/Mbr8iUxwsnV0funHiAoFaRt2Qu5pweL4ugPjj3RFEiMcabeHj+KQAZs3mSMZsnPtdf8ubh+zRNblOel+9ZgaSG3lFPq9+aoFarafVbE1r91gSAtll/le8Xm9VGXHQC57Zdoe2IFmQvkIVO41qxc8YB1FoNVrOFIWt682PnmhxYfFwxPlOCGbVGhd5Rp8hwJu075YtAdLyREWuPEZ+CYzZ6w3GOz+jF+kEbubz3BsY4ExqdhreP3iuOU7SJRIZEEfA+iAyZ3e3sdgRBIOBdIMWrFkatVjP37ATJ1uWT5Ev30fcTg6uMTeTc2Wg7ogVdJkkdo+Xrl+bK3lvy9dEatJRN5NMlxBkZVnsSUSESv+vL20BG1J3Cjg8r0+y4+/I2UNH9J4oQ/EkyYY4IjuS3quOIjYhDFEVCPocR8imU2acnKLYxesdgJv00l2c3XqLVaeg9rwulakkWMgHvAzm8/BQJsQnU6VjdLtAqU7cEOr10LWxWGzoHHeXrl5K5eKc3XlQEosY4E0dWneHRhWRPxIRYI1f23aLT+DaKYwHppSZJud3B2YF+i7oxpuEMAt4HsrT/OtQaFT92rgnAy3tvGVF3inwichfPwYJLU9DqtHx+89Uu+AsNCP8/NdCkIx3/SqQHVP/hKFQhH2q1WubYqDUqvHNlJGM2+8zIq3vvWNBzJdFhMRSpXJC+C7uSq0j2ND28bhy+q5jMjPEmLu+5KQdUt4/fV/qpxZu4e+qhYhsuHs6sfTyfp1dfYLPaKFG9MA7ODsRGxtKnzAgiAiOwmK3oHfUUqVyI05suSl2IiZOeMd7EulHb/2kBFUCd9tUoWDYvbx6+J2N2T4pVKSQ/bItXLcz+kI2c3HCelb9t4t3jjwgqFV7ZPRm4vAfl65W22150eAzLBm5QeOshSqT1Bt1rp3luAbQ6SXMqJURRZEzjmby5L/HLAv1StMmbrbx9+J5Zvyyj29R25CySncy5vSVibmIwolKrFB2LAKVqFuWPWcpyT2pYrX8tmBJUAhmzZaBB99roHfR8ePZJlpEAFMR5AJvFijHeyPZpe7l59B7xMUYsZismo5kS1QrL2kd6Rx0qjQpSzLN6Rz3jdw/l4NITfHkTQMiXcCmo7VqLLpN+lpf7HBKJKtVkqVGpeOMXyLntl7ElkvQtJgvR4bGSKnrKYzdbcXJ1wMHZgJuXG2GpbGdS6hpptBoa9pAsWMKDIpncep7iuu+ec4j6XWuRObc3tdtX5aOvP7tmH8Jms1GkUgFZEsP/1Re77JXVYuXDM/80y1PFqxbi9KYLctCi0aopXElqjnh88RlWi1Xms5mNZh5d9JGyaClK864ZXFh0ZRpWixWVWiXf8wHvA+lbZoSkoWUTObf9CmN3DqFK8wryui4ezqy4O5tVv2/i64dgStcpTo8ZHeW/G1KV6QVBQK1V25XQNVo1cVFxlKlbgseXnsnnQBBUlKmb/FsY12QWX95+RbSJmCw2FvddS75SuclTIhfzui0nPoWn5rsnfpzacIFm/RqQp0ROhBTK8YIAWfJkSg+m0vEfA3tfg3T8LTAlmFg6YB2/5BvAb9XG8ebR+zSXc/FwlsiuZfLgksGZkjWLMe/8ZDtLCv9XX5jcai4hn8Mwxpt4dMGHfmVH0sa7Jz7XJF6TxWzh/I6r7Ft4lNioODRaJWHZwTn5AZ0hiwfqVH93y+jKxxefGVpzIp3z9mdO12VYLTbK1y9FxUZl5LfvqwfuEBOm5GTsnHmA+Oh4O95MfBqyA/9/EBsZS2xUHFV+qkjxqoXTfNiu+l3id5gSTJjiTYQGhGOMTZtMHfol3O486R31ZC+U9ZvB1LcQ8jmM1/feyqWx1GUvi9nK7eP3GVpzEt0KDKJRr7p4ZHaXtIRcDLh4ONEvMQOYhFf33313QhFUAtnyZf72oASpPKR31FGuXkmqtarE3vlHWdRnNf3Lj6K1d3eau3VhbKMZ1GhTGb1jcsnXZhPZOeMA26fv59W9d3x68Vma/G0ivrdfs6jPWgBqtauCi4ezfB71jjq6TG7LyfXneXrlOZ9ff0UAaneoxoClPVGr1bx59J4Fv65i35g/sPqHK4ZstlrxdnWykzIwJ5hwckuWptBo1TTsVRePTO4IgsDME2Nxy+iC3lEniVVmcefq/luycrrVauXCH9fYM+8wt4/ftyPga3RauawnCALZCmRBrVFhcDLw8s4bds89DIBrBme7gMpisuCWMW0Cdc22VWjatz5qjRSk5CmZixEbpZKeVm9vTyMivVilBbVGrbgfDi07KQdTIGWXNo7dabdeplxeTD4wktUP5pGneE665BtAa68erBq6mW7T2svXXRAEDM56uk7+Gb2jXt6XIAjoHXTkLJKdCbt/p2KjMji6OpI5tzdTD42Uvf4u7rrGp1QNNIIg8CKxbJ2ybJo03qCPUrauVM1i/Dy8OVqdRg6Qpx4emeZ5SEc6/h1Iz1D9GxAbFceQauP56CsZ4n59H8TQGhNZ/2wR3jky2i2fu1gOVt2b+91tPr70zO470SYSGxnHuKaz+OPTGkY3nM77J35YzFZUKhVagxYRKdOgM+jou6CbvG6boc04u+0K0WExiDaJg9JjRgdF+SEsIILgT6HMvzBZsV+z0YwtVbRgNVup3LwCBxYfVxCX46LieXLl+Xf5Hg/OP+Xk+nNoDVra/N7sm2rJywau58jK09IHAUZtGWSna2S1WO3KTNhEOzJ7EjLl9rL7zmK2kqOQfWnwe3j94B0j6021CyjtIErE8vjoeH6rOo6Wg5tQoFweEKFsvZKyRtTt4w/48vYrcZFx6AxaRUkmCYJKCpY+v/mq+F5n0NLyt8YgQpWfKqB30KPVa7FarAz6YYzi/CRlpR5eeEqBsnnJWSQ7bx6+lyfEbx2P2Wjh4QWpPOnk5sSaR/M5uPQ44YGRVGpSjsx5vNk0fpecBU2INXJ2y2V+mdCGsK8RDK05Sf6bm16DqlFRVLkzYLbYGPxTNRwFKQuTshNRFCE2Mjm7IagEStcuJn/OWzIX04+NZmyTWZgSzAS8C2LfgqP4Pfdnwp6hjG00k+c3pTKtJrFkrLg0Nhs5CkvXPT4mnsV91kgZmsQszd55h6ndvio5C2ejSe96nNxwXrb/+bFzDbJ+I7AVBIE+87rQdUo7TPGmxK5PKVApV78kGTJ7EGQKxmy0YHDU07BnHYXa/veQUgQ2Cd/qxASJp7Rs4Hr5Hji+9hw6g5YFF6dwdtsVdAYtTXr/SLb8WVh4eSoz2i/C/9UXnNwcqd76B76+DyJ3sRxMOWgf6BxYcpwNY3ekdQJkLmLhSgV4dOGpfF8ZnPQUrVJIXrTr5Lb8NLAhUaHRZMrtjS6NgDMd6fh3IT2g+psRH5tA3zIj+JrKrNRms3Hv1KNvOsL/GZw9nBXp8JQQbSKnN13kw9OPiolXL+j4ZWIb4qLiqfpTRYpWTn5wuXq6sP7pAq7uv40x3kTFRmV4/eCdXfnB59oL4qLjFf5/FRuVYd3IbfJnnYOOys3KU6RSATqMacmWSXsUWk5Tf17AvsANaY795tF7zOiwSH7AX913iyXXZ9gFVY8u+CQHUwAizO26jJptKysmH6lzLzdvH/vJfAxRFBUP7ZRwcDIw7fBoJv40B5vFhgiM3fHb/0k0URRFxjWdZafDo9FpUKkk412LyWIXnJiNFg6vOEXr35vQfVoH+ft5PVZwdd8trBYbKpWAm5crZqPFjicl2rAPHhP322tWZ7vv755+hEarwYj9OhazFd/br9E56Owm6G/BIwXB39XTha4p1OR9rr+w0yPTaNXERsaxa/ZBRbnZYrRQJthI+2lNyOHlTk5vdwLeBaLTaxXBgSAIirKk2WhhRrtFLHJdQ685nbh76hG3jz9QZI+M8SZuHrnH7eP3eX7rlfz7sJolHz9nd0cS4kzoDFomHxgh8xbDvkbYcRs1Og2BfsHkLJyNfou6UaFhaT488ydn4axUbFz2T8+XwVGPwVFPbGQsM9ov5sH5pxic9PSY2YHQL+F8fR9E6drF5bJkEmw2Gztn7Ofc9qs4OOv5dc4vcudc3U41JNPnuGRl9QbdaqW5f5vNxoaxO5VUgDgjl/fcpOfMTgopC5BEaaccHEGfMiOIDI7iyMrTnNxwgTlnJlAsjd/T9mn7FOr1Sees7I8lqNCwNACjtw1iTMMZvH/qhyhCm2HNqdysvGIdt4yu/7AFTjrS8a9EekD1N+PqvluEB0bYfS8IAto03Of/Kqq0KE+OuVnxe+5vRwpNCoJSv3GbjGbaj2qpmNhSGpg6uTkpHt5+z/3tOsREUbQriWXK5cWCS1NYNmA94UGRVGxchj7zJA89Ny83dAblRBgVEiUb0abGtil7FA/4hFgjc7osY9ntWYq303tnHtmtK4rSmPOXVvoSTjs6hokt5vD6wTscXRwYvrG/giuUGqVqFWNv4AbCAsLxyOQmk3X/KhLijHYZMJVGRaXGZWjWrwHze64kIjASIdGfLyWMcUbObbsiB1TvnvhxZe9NxTlJKomkRkptq5T4lvl1nhI5v0tuB+zurbSgc9ChUgkMWdNH/i42Ko71o3fw9tF78pXOQ+fxrdHqkrmBKpWAs7sTWfNnxhhvL20hWEWqFsstfw76FIIpRfCkUguo1Gq7UpvNJhITEcvyQRsRBMHu70mICY+142oJAmx5sxxEcPZwksvsSV5/KV9OzJld+FIjH2PP3aJmSDAj2tamXP1SuGRwxhhnIiE24S9bwMzuspxHl3ywWqzERsaxdsQ2Zp8aL8t5pMa2KXvZu+CoHIRObDGH+RcnU7hiAUrWKMrYnUPYOHYnxngTDbrVkr0WAcKi4jhx9wVmi4WYCy947/PRbvuOrt8e9+55h4mLipdfToxxRtYM38LSGzPtlk197gWVQL1favL72j5yRs4toysr780hJiIWnYMuPQOVjv8qpAdUfzMSYo1pvuG7ZHCmSosKaazx16DVaVl8bToXdlzl4q5rPL3ii9agxWq2MnBZT4pULqjgTqg1agqUyysHMaFfwxnTYDoffD4hqASa9a1P/yXdFVytsvVK4pVD0rsyGy2S91r32rKUQkxELEdXnyEiKJKKjcqw9Kb9QzVvqVx2zrqZ83h/Uz3dYrKf4D88+8TkVvOYeXys/J137rRVlNPS4vLM4sGKO7OJjYrj2JqzPLr4DJVapSDqpoZOryVz4j7unnrIq/vvyJzbm1rtq9iJZ6aGwVGPg4uB2Ihkf0CdXku9rrWY0np+Mo/sG1SolFmXiOCob2aRUkKtldTgU0dUWr2WAUt7pLlOxqwZGL9nKNPbLcRitkqlXo0Ks9GC3kGPIJBmaTEl3Lxc6TGjI2V/LCGfL6vVyrBak/jo64/ZaOHNw/e8uP2aeRcmM+eXZXx5F0iuItkY+8cQtDotTfvU4/ElnxTilXqa9k0WqIyLjmdiizmpfkcCwzb0Y0nftZgSzHbdYN8KpDQ6DYiSTEFKqNQqshbIkqZw5L6Fxzi25pz82epmIKpxUdCqCY2J5/jtF8TEGzFtu8Prh+9RqSR+0ZLrM8iSNxM2m41tU/dxfM0Z1Bo1Hce1olnfZKPgRxd9FDYtpgQzjy4++2ZAdWrjBbtu0Eu7b1C4okSAL1OnOLNOjSdDFnfFvRoUEUP7GduITTBjs9lw3XkfVSoJDZVa9U1DcYDo0Bi7cx0TEZfmsj92rsGZrZeSr6uDjp+HN0uTA/h3GqqnIx3/LKQHVH8zytYrqQhSBJVAlryZWHZzZppeb/8X6PRaGvaoQ8Medfjw7BMB7wLJmi8TL+684c7xB3Sf3oFdsw8SHRFLkUoFmLhPUh6OiYile6HBsu2GaBU5tvYsmfJ48fPQ5ortL7s1i/2LjvLlbSClaxWnfmL5IDYqjr5lRkimsCYLx9eepe+CrjTtU1/apihiNpop+kNBfpnUli0TdqHWqnFwNjDtyOhvHlPzAQ1YOWSzIqiwWW08uvCU8KBIPLzdiImIZce0fXbrthzSGEeXtM+pMd7IoB/G8vV9EGajmVMbL9BpXCuFRUla2DxpF/sXHsMUb0LnoOPCzqtMPzaGh+efcmDJcQSVQJuhzShVM5m7IwgCk/ePYGKLOajUKswmC01618Nisionk79QSctfOredgnlayFEoG6VqFeP0potSMCEI5CqanR4zOvDq3lt8rr+g2k8V7SbpSo3LcjhyKzERsegd9ZzdcpnQgDBKVC/K1/eBrByyCWOcCbVGhaCS5ASSJlS1Rk3xqoVp3EtpFvzxuT+fXwfIQYLZaMH/1RcQRVY/nGc39srNyjN8Q392zjyAzWqj9e9Nqd+llvz3L6k4YSAJyWbNm4nld2Zz7cBtDiw+rrClUWtUIAjJGThBCnRTlkpVKhVqnQpEgXxlcsvK3Klxdf8tZQdsTg8EtUq+fEazhQsP3uB9762ciU2ISWB+z5UsuDiFvQuOsnf+EXkba4Zvwy2jKzXaSDYzzu5OCo9IQRA4ueE8H3w+0mdBV7yyJ/thWq1WosOUul1CYgAHkpbc5om7UalVuGV0Zf6FSTKXa+vZe0THGbEmBqY2tcquS6lm2yqUqVOC8Og4Rqw7xpN3Abg46JnUpT41SuSlZtsq3DhyT2nL07aKvL7FbOHIytO8f+JH/rJ5aD6gETcP38Elgwv9FnWTyer/F8RExHJ4xSnCv0qq95WalPs/byMd6fhXID2g+puRvUAWZp0ax+K+a4kMiaZcvZL8trp3mo7rfxXhQZGsHbEV/1cBFKtaiB7TO5C7WA6y5s/Mb1XGyW3cao2aYRv6U7u9Uqbg2oHbJMSkUtQ2W7l19L4ioAKpXPTLxLZ2Y7i06zoRwZFyB5sxzsT6MTto2qc+988+Zlq7hcRFxeOV3ZMZx8fS5NcfiQqNxjtnxu92yzXpXY+PL79waOkJeyXrxBLmlX23iI1U8pO0ei39F37bKuPW0fsE+4fKgZoxzsjWKXtpP7rlN7vm4qLj2T37kMx1Sog18uTKc/YvPs7m8X/Ik+fDc0+ZcWKsIqgqXbs4W98u54PPJzyzepCjUDbunXn8l4Kj+JgEzCYzWp0WV08XZp0az7S2CyRfvDSQq1h2Vj+ch1qt5oem5Xn/9CPZC2ahUMX89Ck1jJjwWCxmK8dWnWHU1kFUb/2DYn2VSoVrBhfiY+Lxf/WFd08ko9wuk37GK7snNw7fxTWjC01+/ZGZnZYkankJOLo6kqtYdg6vOMWPnavLelpp2eWIosi2afuICIykaOWC5C6Wg6NrzqLRquk4thW12lX9ppyGZ1YPRQYHpCyeZ9YMZMrlRa5x2aUXhp/myKbQ7t5u5C6eg0fnfVBp1Di7OdK494/8MeuAHFDZbDZEi8Ap0y75pcf/dQBbJ+8hKjSaWu2q0KBbbdwyuijKqSqrDZUgkDKXKthERVnbZhPl5oCLO68pM0pxRs7vvCoHVL+v6cPUNvOx2USsFis2m42gjyGEfA7jyRVfNr1YLJ/bCzuupSmL0fjXH/G55isJ8yb+JkP8Q5nYYg7rfRYBEBYdJwdTAHGVcuF69iUkcvMcXBzoPl3ivf2++gjP/QKxWG2Ex8Qzev1xto/uSNWfKtJn/i9sm7IXi9lK/W616DyhtXw+xzaeyfMbLzHGm9DvvkGFhqXZ6Lskzd9YfEw8c7ou5+7JRxicdPRb1E3Wp5LHGB1P37IjCP0SjsVk4dSmS/SY0UHWSktHOv6dSA+o/g0oXq2I/FD7/4uEOCODKo0h9EsYFrOVd4/9+PD0I7NOjefK3pv4v/oil2ksZitL+q+1C6jMRsnyJHWGJC2tK4D3T/34+iGY3MVykCWvVFJLiDXaKW6b4s2EfAljcqt58hiCPoYwst5U/vi4+i+l9QVBoFzdEhxaekL+TqPTkCVPJl4/eE/FRu6YjeY0bUO+h/hYo105zGaxYbVYvxngxUXFodKoIQXPSK1Rc2bzRcXkaYw3sXf+EUVABeDu5Ubp2slE7TJ1ipO3VC7ePPxg53GWEhaThY3j/pB5aEV/KMj29yvZMmkPf8y016DqM7+LXNopX7+UbI2zc+Z+osNj5SyNMd7EmhFb7QIqSCzT1Z6M37NPmBLMPLv+guc3XrLg0hQqNCwjL7fw8lTePfHj6VVfNozZwe45h1Fr1eyee4g1j+bj4uFMziLZyFkkO++ffsRsNKPVa7BZRW4ekQykfW+9wmq1ydfw5Z03zDg+VhamTA2PTO70mNGezRN2S6KlVisdxrRSaHSV/bEky2/P5t7pRzg4G6jdoRoOzgY+vw4gIdZIziLZuHnkHiq1GkjOfjo4G+RgKuhjMAMqjJJlB55de0FEUBT1u9bi4fmnWCxWKfAIisXg4kBEvBGL1YZBp+HHTN48cNTL11WtVVMg0cYoNSdJUAm4pPgtVGxUhmW3Z3H35EPWj9kh/y5tVhsJcQk8uvhM1vgKeB9o18yg1WvJlMuLG4fvKspxoihKnp+JQpg/li3IpcdvSUhyOsjvRbXqxckYEIPeQUfTvvXJnNsbq82Gz/uvys5dER68+UzeLJ4069tAUbJMwvunHyXLrMTfhjHOyJ0TDwj0C5bLwSkxv8dK7px4iNkoeVcu7rOWzHkyUbxqYXmZK3tvEhEUJQeJxjgjmyfsSg+o0vEfgfSA6r8cz66/UPhwmRJMPLnynIjgKKLDYrCmCnISYhLslIUrNSnL6uFbFYRjrV5Dz5kdSY1NE/5g/8Jjshr27+v6Urdjdco3KMWmCbsghfVFpablePvogx0/Ki4qjpDPYXYilWkh6GMw09svUgRMFpOFrx+CmN5+EeXqlaTP/C5sGLODpIlR56CjUpOyvLr/lix5M+Hi4Wy33bJ1iyvOgVavoWSNot/Nlnlkdker0yjOk80mpulP+FcyT2qNmvkXJnNmy2XePnrPyQ0X7MQzQQqE7558SJ95XQgLjGDZgPXcOHTXrskgCYeXn6JCgzKK73yuv+DmkXt2pPPU5aIkvH/ykU8vPsvCjaYEM68fvOPLm68KNXmVSkX+0nmY3nahzI2xWqyEB0ZybM1ZqrSogDnBzKxT49g+bR9vHrzH3duVe6cfy9yx1AGBMd7E4RWnvhlQAbQZ2pxy9Urx0fcz2QpmsWs8AEluJHWzQcqxV21Zkf1LjvPmwbvE8iu0H/2T/PcLf1zHFG+S772EOCPbp++DxN+PSqUiX6ncTD4wHK27E7suPSQsKo7qJfJSpWgu5r4I4sreG6jUKjLn9mbYhn4A/DKxDaMaTFfc0836KwOSPMVz4uhiYMPYnZLZcwoIKeyVCpTNi8FRL7+wqNQq8pXODUiSH2qNWnFPOTgbuHf6EeUblKZO6fwM+qkaa4/fwmK10bhiYUa0rY0mVfeiShDQazXEm5K3I6gE3NPIqlusNtQqAUEQMMYZ7TohVWr1N2Ub7p15ohirKcHMg7OPFQFVQpzRTrzVZDSnq6Wn4z8C6QHVfzlSa/GAlHgRBKk7LaW3nUarpni1IooHT3R4DLM6L5UfZAZnPYXK58M1oysj6k4hcx5vflvVm6z5MvPh2Sf2LzwmPRATH4oLe62iSosK5Cqag+lHR7O0/zqiw2MpVasoDbrVxpyGHIDVYsPV0z7ISQsv7761eygDiRO9mftnnxD4IZgFl6awfPAGIoKiyJQrI7eP3ef+mcfYrDbG7x5KpVRt6945vZh7biILe68m/GskpWoXY+javt8dy5ktl+zIzaVrF6Nh9zrM7LRYQbZtOTjtN2b/1wFEhUSRq1gOnFwd0Wg1MueoastKLOq9mhD/MCwWi5yZEBJ1et48es+QquO/qyMEEBkSrfh8Zd9N5nZdnuZ6CXFGwr6G28lAWBPNhVPCYrayb+FRWg5ubGfwGxOpJCJbTBaOrTnDjun7UakF3L3cWHxtGhkye/D48jPunXny3WNI65qnRp4SuchTIm1NMpBKTnsXHOXW0XtkyOxOr9md5YwqSBIaVVtU4M2Dd5JPoAg7Zxyg6k+VyFk4m1QCTBUXp/ZH9Hv+idCACApl86RPE6lkZzaZWTtiGy9uvyZPiVx0Gt+aSk3KylnDO6ceyQbNScd6ZOVpRmzML68/9eeF3Dv9SAoUErs/NVo1ji4OxEXF8fDCU0rVKkblZuVpPqAhBxYfR61WkSGrB+N3/Q5IXLRKTcpy+/h9bFYbpgQz5gQzU39eQLn6pWjQrTaVcnnRYX6/755nQRAY3b4OM/84j81mQ6NWky+LJzVL5ZOXCY+J5/dVh/F5/xWdRs3IdrVpVLYAji4OUvbaakOtUeOZ1YPs3/DVdHJzJC4q+T7S6jW4eirlEco3KJ348iRBZ9BSsXHZ9GAqHf8REP7Km/S/G+XLlxfv3bv37x7GfySM8UZ+LTGUoE+hWM1W9A46StctwfREoveNw3dZ1Hs1MZFxFCiTh/F7hirEQ8c1ncWDc0+STVUddGTK5UXA26+JAqACLhmc2fxqGc9uvGRWpyWyLxdIxN61TxeQJU/yRHXr2H2mt1+ERqvGbLKQq2h2Pr34DEiZm15zOvPTgEZ/6fieXvVlbOMZ3+wuc3BxYMjq3tTpUA2Arx+C6Fnsd0UWyeCkZ8/X9X+Jp5YkL5FW597oBtO4f1YZCGTJm4mtb5Zz4/Bd9i44gkqlot2onyhZsyhWi1VuNBBFkcV913Ju+xU0Og1qlcDc85PSzKyEB0XSr+wI6TyLksTC0pszmdFhMe+f+EnbA2wuelAJqKISEBJ/xnpHHb9Maku7ES3k7XXM1ZfgT6FpHq+jqwND1/VFq9PikdmdwhXzS/ICZgt9y4zg85uvdkGkwUnP/AuTFbpE83uu5OKua7LOkFqrRiUIMqdOrVFToWFpph0ZjSnBlHjPhmAxWdHo1FgtySU/vaOOeecn4+7tSnRYDDkKZ/uHOIYrBm/g5MaLUqZEJeDo5siGZ4sUwWP77L3t1LlbDm5M34Vd+fo+SLZtAdAZdFgtVoXel6OrI6O2DlR0iM7tvpwre27KAazBycDax/PlYG5U/ak8OPdUsc8CZfOy8p5khrx50m72zj0sy0Ko1Co8s3qQr1RuHl30kbwFbSLFqxZm+rHRqNVqYiJiiYuKQ+eoZ3rbhfhc88XBxYHBK3rhkcmdUQ2m2ZXkDU56RFGkeb8G9J737U6+JPh8+Mqpuy+48/IjOo2GRhUK07FOGQRBoPeivTx6+wVLYonRoNWwakhrsmi0zO+5ik8vPpO3VC6Gre/3TQ2328fvM63tQiwWKxqtGs8sGVj9cK6d3ITP9Rcs6beOqNBoytcvxaAVvRQ2PP8rEAThviiK5f98yX8OypcyiHdO5/xb9qXO8vpvPba/C+kZqv9iBLwLZFyTmXz9EIxarSJ38RxUaVFRJoUCVGlRgS/vvrJx7B98eO5P75LDmHlyHEV/kLzCnl1/oZgwTfEmOfgBqaRlNlp4etWXvCVzpaklk5JrZTaZE4U4jSSFQH7PPjFweS8EIF/p3BQom/cvH2PxaoUpV78U988+wWaxYTKaFFwvm9VK4YrJE/vn1wF2ZTlBEAj9HEb2glmJi45n+7R9+D3/RNHKhWg3soVc5vtj9kG2Tdkj2ek0KM343b/LE3nI59A01egzZs8gn+cqLSpgtVpZ9OtqJraYDQiUqlWMKYdG8viiDxd2XsUUb5LHNrXNAra+WW63TQ9vNzY8W8SNw/ewWqxUaFQGzywehPhLQZGoEohqVARLJqmlXx9nJsOpF2C00KBbbX4e1kzeltVqtRMUTQlTgpm5XVdIMgsWG9XaVGLU5kFotBoWXZ3G6mFbuHnknqI0mBBrZMPYncw9O1H+btDynpiNZm4cvoveQUfW/JnxvfU6eRwWKx98PgFSYLL05kzWjtzGpxefKVq5ICWqF+XkhvNotBp+Ht6c05svcHbLZTQ6DRqthgWXpnxXKwwg7Kskfpklbybcvd04vu68nHm12UTMCWZuHL5H0z7JEgxpEeYPrzjF5b03mXt2AouuTmP9mB1Eh8ZQo+0P7F94XOkHaLHa3c+Xdt1QlK6sFiu3jz/gp0HSS0SBcvnwufZCLqdq9VoKlJUC62D/UPbOP6LQ2LJZbbh7ufHm0XvFi4XPNV+u7L1F7fZVcXZ3wtndiRE/TuHZ9RdYLTZiwmNZ0HMVE/YMRavTYLQoM5RJ2zqy6gy1O1T709+lq6Oeg9d85NLfu4BQouKMNKlUhIdvvmBNUYqz2Gw8fPOZUvUrKO6TY2vPsn/RMQRBoMOYltT7JZl0XqlJOZbcmMH9M49xcnOkTsdqaWp3Fa9amHVPFqQ5xoTE4DlJyiUd6fg7kR5Q/ZdCFEVGNZjG1/dBiDYRi81KwLtA6netqVAGf/v4A5sn7MJsNMsP+QnNZrMvaAOCIODu5arIOKUFm80mE12b9q3H/kXH5b9ZLVaFeGZkcJQdQVyj0+Dm6fIP6WwJgsCkfcO5dew+QR9D8MzqwcZxf+D/8gsOLgZGbxussPTImj+znBVJOX7PbBmwmC0MqTYe/1cBmI1mHl98xovbr5l2ZDTXD91hx/T9cvfYw/NPWdJvLSM3D2TnjP0cWXUGq9Wes9RzVifF58PLT3Fpz02Zu+ZzzZc1w7eSLX9mu9Jn0Mdgu+3FxyZwetNFIoIiKVO3hILYXrhCfu5ffEp0ySxYMrtAIjfN5CwQViorzpffcHT1Gco3KE3lZuWxWq2MqjdNYWCbBIOTHptNRLTZMCWYILFL//y2qxQsm49WvzXBxcOZERsHML7ZLG4ff6BYP/U9o3fQM2b7b/LnvQuO8O6xn5ylUWvU5C6R/PYrCAKmBDOxkXEEfwqlaJVCMtH65tF7nN9+FVOCGVOCGUGAqT8vYOPzxXbHkYSz2y6zuO9atDoNZpOF39f2+eayKfHz0GZsmrBL0RRgs9oICwhnVIPp/PFxNbNOjJP/VqlxOcY1mUnwxxAcXBwYt+t3hYyBdKwqzCkSqiq1IOldJeKXiW14dv0Frx9IPozZC2ald6LW08xOi6XrQcr1VWQvlJX3T5Wim6YEM7eO3aNcfcmS6O6phzy64KNYxmq14efrj7O7k8QHS6Mgodao+Po+6E8DqjP3XmGyJP+2EkwWdl54wLZz9xTBFIBWrcIzlWTJma2XWD10i3yul/RbK/EARamruGKTsuQrlZt8pXJ/dxxpwWQ0M6P9Im4duw9ImldD1/f9U424dKTjn4n0gOq/FHFRcQR9DFEELyq1ipd33pAtfxZEUeTV/XfcOHTHzpImLjqemIhYXDycGb6xP2MazQAkixqz0WxnOuvu7UbJmpLX3sNUD2xTgpnDy08ybH1/eVmNTqPg61jNVnIWzf4PH6sgCAr7iWotK2ExW+yMYEFyn++7oAurh25Bo9NgtdgYu/M3HJwM+FzzlXWnQCI/3z/7hNCAcO6ffayYVM1GMw/P+7B18h72LTyWZheeWqO2m4QeX3ym1ChKMPPkynOqtKiARpvMmxEEFHweaTxGBlYczdcPwZgSTOxbeJT+i7vTuNePiKKIc4cKBOdyQN5AIkS1CouX1CUm2kSmtJnPsZjt3Dxyj5d339pZ0vy26lcy5fbGK3sGfi05zO64NozdSZPeP8qK8HU6VuNRiuPSO+qp20kqsYqiyLWDdwh4+5W8pXLLHYUtBzfmwdknPL3mi0qlwiOTG7+v6Q1IQfjQmhP5/DoAi9nK5zdfefvYj3VPF6DVafno+1khiyCKUjb2WwgPjGBx37WK7N+i3muo16Vmou2KlLXQGrRU/UkZ1Lca0gRHNwf2LTjK59cBiiaOyKBIYiPjFN2ouYpkZ/u7lZgSTGj12jS5Ox3HtWbH9P3S+VIJxIsiK168psCnUhTK4Y3eQc/Cy1Ol/VltZC+YRZ743z3+aNdta3DS029hV768CeD1g/dy557NauPawTvcP/OE0dsGMqXNfLuxaLRqPLzdmXd+EuObzSbg7Vf5nCbBaraS5xv+mCmRFk0pzmgfpOk0avJlzUjDCoUV359Ydy6VXITUyafRqhFFkTUjtrL05kxyFfm/Pys2jtvJvUTOJMClPTfIVSw7bYe3+JM105GOfx7+nPmZjv9IGJwNCsI5SN5tHpndsVqsjG08k2G1JrJ/8XGFSCBIRE4nN+ntsXi1Iqx7upBBy3sxaEUvxZs0SG+vM0+OJSEmAavVaqeKDGBJMQlptBqmHx2No6sDDi4GtAYt/RZ3syOivn/qR9eCg2ioa0fXgoN4/9TvLx13VGg045vPpn32PgyoONpuvaiwaC7svIYpMSPXbVo7md9itdgTrQVBmuC9snui1SuP3SOTG6c3XUwzmNI76uk6tS0RgRGEfA6VGwOy5M+ENsU5TOrwqtCgNE1+/RGtQYujiwOuni6M2zWU1UM30yFHH3oWG8KWibsJ+hgiBQWiNOGsHrYFgIPXfTh2/6U04NQzm9WGOjw5Y2Q1W4kIjuLL28A0x37t4B0qNChN7mI58cjkbvd3AQj+FEp8TDynN18kOiyWys3Lo9Vr0Oq11O1UjZaDmyCKIrM6LWFu12VsHP8HU1rPY+M4SY1fo9Uw8+Q4Vt2fy6htg9EZdHTJP5DepYZx5+RDAj8Gyxk7q9lKWEC4XBLMWSSb4lqkFXymxNcPwXb2Rxqtmka96tBlcltKVC9C9TY/sPLuHLvjFQSBRj3q8vuaPmhT2ZyoNWocXNLmbukMum8SoTuMbkn/FT2xFvQmvlhmItqUIjDBSN8l++VyWVJmKleR7IosSqZcGRWXV6vX0H16BzwyuTNp/wiy5c+s6PIzxZuIDo9h7YhtaboK5CiUlZrtqpCjUDa2vFrGSeMult+ZjaunM3pHHTqDlt9W9/4mUTwlGlUsgkGnVQj6pw6mVIlyDBuGt0WbqrtXnwbPyWK2kBBrxBhnIj46gZVDNv3pONLC44s+ijK/Kd7EhrE7Ob3l4j+0vXSk4x9BekD1Xwq1Ws1vq3ujd9Shd9RjcDZQvkEpStcuztHVZxIzLiZ5QpW8+RxwcDYw+cAIhVp75tze1O9aiwbdavPb6t7oHHQ4uTmid9DRduRPDKk6gXbZetMyQzfK/lhS8WDUO+io2qI8m8b/waqhm/G9/Zri1Yqw+8s6Oo5thZObI+tH72BR3zWYEyeT+NgEhtWezJc3X7FabHx585VhdSYTH6sM/FJDFEVG1Z/G/dOPiAyO4s2DdwypMYF7Zx7JGYyZHRbz4vZrECVF7s0TduFzzReAQhXz4+zhJMs4aPVa8pXOjVd2T5oPaIh3jowYnCSDWoOzgSGre9v5KwqCQMmaRRn3xxBuHXtA9yJD6FJgEOOazMRsMtN5fBu8c3nh4GLA0cUBlwzODFreE4C+C7ux5dUyFl6Zyg6/VZzacJ5ja88S8jmMj76fObj0hF1ZUCrTiNx87ifrBaU6KahiTThdf6/4OsgvmEt7rqcp33D/zGP2LToKwIiNA9I8z3oHHX1KDWf5oA2sHrqZS7uuYzZaMBvNnN9xlRd33vD28QduHLlHQqwRq9lKQqyRfQuOEhkSJZ8rrxwZWdR7NX7PP2GMM/HB5xPze6xIUzcsKSj6oWk5fuxcA51Bi6OrFHxO3GufSUtClrzednIQVouVrHkz03Z4c3rO6sSL22/oWWwIAyuNlkutoijy+NIzLu+5QcbsntRuXxWDkx5HVwf0jjpGbR1kVzJ6cuU5Y5vMZHSDaXJ5KS1kq1YIc6OixFXJg+go8XksVhufgiK+uQ7AmB2/4eTuJP/GLGYrG8bs4P7Zx3hl92TD88V2xsM2q424mATUqYJKB2cDi6/PQKfXEvQphAt/XOPemcfkK5WbPQHr2fh8MQdCN8k8pgfnn3J01WmeXvVNc2xZPV3ZProj7s4OaWarAHRaNT/XLIk2jVLbLxN/Ru+YzG1SqVWKbJwoinx9H8TjS8+ICou2Wx+k0l5aciGZcnnbdYbaLDaWDViPz/UXaQ82Hen4JyO95PdfjAZda5O/dB5e3n1LxmwZZMf2fQuOpMFjUjP96BhyFsmOq6e9P1kS6nepRdkfSxLwNpAMWd0ZWGEMMRESqdlisnBi3Tl6zurI+e1X0Rm0NO1bnwU9VxMXLRmkHl97lkn7hqPWatg+bZ8sJXB+2xV0ei0DlvTgo+9nuzKU1Wzl04vPFCyXz25MSYgKjcbv+Sc56BBFiIuMZ0zDGWh0Ghr1qsvTa76KoMRstPD48nOKVyuCwVHPslszWTF4I59efKHwDwXou6CrFGy6OrL60XxuHL6LMc5I0SqF2LvgCHFRcXLbepJ69MjNA9k1+yCv77+Ty4dPLj/nj1kH6TKpLWsezePRBR/8XwcQH53Ag3NPqdOxGgZHPV7ZPWXOzcVd1xQmx1aLFSHFpKDVayhdW9LLypLBBY1aJXdRyRAE3PY9RpXimAWVwOOLz3j76MM3z+WOaftp83szKjQsTZfJP7Nr9iGpRGq2Mmh5L85tv0LIlzA7RXKQMmcHlhynca+6aLRqUubA1Fo10eGxuGWU2t39nvtLwquJt6MoiphNFnIXy8kHn48Y403oHLTkL5OHXImkc0EQ+G1Vbxr0qM3BpSewWmx89PWXSelmk5k1w7dy/eAdnN2d6L+kO8M29md+j5USfynBTLWfKhEVGo3ZZGFMw+lyp97rB+8ZWW8qG54vZmqbBTw4/1RSObfamHxgBA171iXEP5QCZfPaZcV8rvkyttEMuZztc+0FY3b8JnO/UsLDxdHuWpktVjy+YUydhDzFc7Li7mx6FR8qnS+bSEKskcmt5vPHJ0kMt1KTcrx+8D5FCVZHjZ8rc2XPTcK+SgriOoOOQSt6odNreX7zJaMaTJeCIBFyF8/BgktT8M4p6cA9ufKcjeN28ureWwRBQFCpaDOsKd2mtLcbXwZXR6LjjWlysQCaVy5GqbxZ0/xb8aqFWXBpKifXn0MQBFy9XDmw8BgJcckaWoEfgpnUci6iTWTWqXEUrSwFj9HhMUxoNhvf269RqVV0n96BtsOTXRz6LerGs+sviEhlQm5OMPP40jOFllU60vGvQnpA9V+O1CTO+T1WEOgXYrec2Wjh8+uv3zRYTYmMWTOQMWsG/J5/srO1UGvU5C2Ri5a3GwOwetgW4qLiZN6VMc7EulHbKVmzmCJYMMabuLr/NgOW9MDV09muW9Bisnw30ANJ0sFmTftJbjFZOLPpIgZHg9y6D5L/YMoyT4bMHkzYk3a2490TPy7vuYHvrVdEpCLXa7Rq6nWpSYexkiK37+3Xik4uY7yJ5zdfARJB22qxsWn8H1jNVtRaDfsWHmXlvTmK9u7UnUhqjbSPh+efEhUWS5k6xRmxWcog9WhYkfMPXxMcGWsfVGlUCvV2nUGLm5crBicD8dHxaZ8vc/L5/2ViW6q3rszxdec4u+USSweswzNrhjSDqSSINlEWkEyCIAg4uTuROXeyYKuLh5O9DpnZysgtA7i6/zav7r8lX+k8tB/ZQpE1jQqLZmLzuUSFRmO1SDZIXz8E0XZ4C5YP3CBxo+JNhHwOY0Lz2Sy9MZMVd2YzpPp4EAQu7b3B9cN36DzxZ0WJzGa1EfQxlPPbr/Lg/BOF5dKsTkvYH7zR7ljNVisqQeDA4uN2ivi75x5OM6DK6e1Oq2rFOXT9GTZRsqbpVLccXm5/rr8WFRItketTNBOo1ALXDt7hxuE7mOJNFKtckEeJXadVf6pIj+kd6DS2FSfWnScyNJoKDUvLDQ1zuy5XlP3fPfnI2S2Xafzrj+xbeJRNE3YpymUAe+YeoXm/BgqJg9N3X7A6UQT0Wzh84xmNKhSmVD4pqAr2D2XfwqNEhcVQs01lfmhajkLlpZcmURSxmCwcWHwcm8Uml9+TGh6m/ryAXf5rAZj9yzJe3nsre0dunbyHPCVyUqFBaQAy5fJi08uldMk/UNGRqjVo5eA+Hen4VyM9oPofwuc3AVzcfeObf182cD2laheTbR9EUeTVvbdEBEWSv2xePLMo9WE8MrvbBT5mkwXPFDIJsSmCqSTExyTgklhaU2j2uBjYMnk3L26/JnuhrHx5/RWLxYJGq6FB99pp2lGkhIOTgZ8GN+L4mrNp6lKZTRbqdq7B+R1XAClTk6NgVn78pcZ3twvw/OZLRv449ZuimVq9ljJ1S8p6WzkKZ8PvWXK2TKvXkCsF8X5Jv7VyQGkxWwn6GMy5bVcULfu/zunMwt6rZbNhJ3cnus/oyNB1bqSGu7MDeyd0YevZ+2w6fQdzikktpnpeXC68BpuIwaAjc24v6naujtagZUm/tZhNFoUGkd5BR+1E3a4kRIZEcXL9OXnMwZ9CJL2jNCZPvaOOFgMa4prBhTlnJzK93UJC/MPIUTgrk/YPV6jNZ82XmZptK3N13y3Jz81BR612VclZODudxn2bfHx59w1io+Lk+8cYZ2TH9P20Hd6Ci7uuK66T2Wjh1rF7hAdGSly/xGO1mq2c3XLJ7v4UbTaiQqPtdJmiw2Ow2WxyYGc0Wxi78SSXn7xFAAp9tu/K/J6O34i2talZMh++foFk93anTun831w2JTJm97T73ZkSTCwbuF4OfPSOOkZvk3wYk863xk2SnEiN8MBIxWdjnFHysTSZ2TBmh13AC1JnbmRwlBxQ/XHxIQv2Xlbaz6QBo9nC6XsvKZUvK6EB4fQpPZzYyDhsVhtX992UmyxACsB/nd2Z1kOaMLfbCh6eV2pzhQVEyNfj2Q2lvIsxzsjTq8/lgAokU+nR2wYztc18RFGU+It5vKnX5c9//+lIxz8D6QHV/xBiwmPRaNWY0k5KoNFp8H8VQObc3jKh+ObRe6jVKqw2kelHRyva9F0zuNB73i+sG7UdMbG1uViVQnjnTBYGrd2+Ghf/SC5d6R31/Ni5Bs0HNOTYmrPERMRitVjR6jUYnAzsmXcEU7wJjU5DxmwZaNqnHnlK5JLLlX+GPvO6kC1/ZpYP3mg3Iao1Kqq1qkSboU15cvk5zu5OVPmpgiwjcfPoPW4cuoObtxutf2+Kh3dy4LJn3pE/VSBPSZTuv7g7L269Jio0GlEUyZTbiy6T2xL2NZwzmy8REZKq9GC0EBWq5IXU6Vgd90zuXD90Gxd3Z5oPaKAYUxIenH/Kpd3XcXJ1oNXgxmTO4ML8vZeIS8yQmfN4Yqxuw+m2H1aLFY9M7iTEGqn3S000WjV/zDpIXGKmSqUSqPJTRTJm86RnsSFo9Vq6Tmknea6lyChaEkViBZUKs9FMvtK50Gg16Aw6Oo5rRYnqUqazUPl8bHu74rvnbcTGAVRuWh6/5/7kKpaDai3tMzogZaUC3gXhncMTs9GCmCqYs5qtbJm8Ry7fJUGtUWNwNBAZ/MnOaslisVKyehGeXHmO2WhBo9PQaXxrilcrrMhcqVQCOYtmV2TJlhy4yo1nH+SA7EM2Z1z0GiyJmTu9o462I77dRWax2th7+TFXfN4hIFAkpzcrBrXC8U80kjJmzUDP2Z3ZOGYHGp0ai8lKrmI5eHXvrbyMMc7EnvlHqN2+WprbEEWRD88+ER+TQIHy+fC55ivzzPSOeopWKSSdx2+QobQ6NVnzS3IkH76GsWCffTDlmphtjUrR+KASBBwSyf1nt16WqQBJY94yabccUAFEBEfSp/RwKcBNlX3OnMdbvh4e3m7ERiQ3XugddGg0Gi7vvYl3zowUqVQAkHwQl9+ZzaOLPji7O1GjzQ/pmlT/xRAEQQ3cAz6LothUEIQNQHmk3plXQDdRFGMEQcgFbAS8gDCgsyiK/n/3eNMDqv8h5CyaPbGVOz5NjoPFZCFrPinDcvv4A24eu6/I9Mxov5g9AesU6/w0sDFPr77g5hHJaPXZjZcMrz2ZRVemotaoKVu3BCM2DmDDuJ2Y4s3U71aTzhPboFarWe+zkDObLxEfE0/higWY0ma+rIlkMVmIDI6iRI2issgowKOLPjw4/wQPb3ca9qxjp5Dte+sV60ZuR6NRY0o5eQrQqFdd+Y01R6FsivWOrDzF2pHbMcYZUWvVnNl8ifU+C+UyY2pOV2pkyOKhCPo8vN3Y8HwRvrdfo1arKFypABHBUfQpPZy4yDi7YE+r11Cmbgm77ZatW4KyaXz/5e1XLu+9yYenH7l28DamBDMqtYpTGy+y5vF8ri0eyCv/YObvvUSIXwhxN95jTZzofa75MqH5HEZvG8Si3mtIiE1AFCVV+y5T2qLVadgwZqfMXZnSej4FyuVFq9coynxavYaFV6aRu1iOP7X2eHbjJTM7LiYsIILcxXMwaf9wOeMoCALVW/9A+Qbx7J53hMt7blC8WmGa928gT5i3j99nertFqDQqLCYLHce3Rp2otA/SBFqmbgn2zj9it29nd0fqdq5OxuwZuHHknswt0jloyVcqN8WrFaZQxQLoHXQULJ+XMnWk8917XhdWDdkMAnjn8GRaorvAvTOPObryNBe9NBg1yccd5+VMsb61cX8WiNVipeXgxmmW+5Kw7dx9rj/7gDnxXvD9GMSCfZeZ0LneN9dJQqvBjanYsDT+rwLIXjAL26buVQRUgB1PMglWq5XJrebx8LwPao0KrV5LjoJZ+fTyCwCdJ7ShQoPSiKJIlrzefH79VZGJ9MzmwYxjY2XZjJN3X9hl+QDyZvGkU52yTNh8igSzBZUg4GjQ0rp6SUDKqqXOcKbOvJ3deoXosFhlMCWAe0ZXph4eJX81fOMARjeYlhj/CbhmdGH3XIn3Z7PaqN+tNoOWSc0faXk4puO/Fr8BvkBS3fZ3URSjAARBWAgMBGYD84GtoihuEQShDjAL+OXvHmx6QPU/BAcnAwsuTWF6u0UEvP2Kq5cLkUFR8kTZY2ZHWQTz64cgbKmCiIjgSEXJA6QyyI1Dd5LNl+NNvH/qx7MbLylZQ9Kmqtm2CjXbVrEbj1tGV7kEEfA+0H5SFgTFA/fY2rOsHroZY5wJnUHH0dVnWHV/jvxgB5jVeakiQ6HWqCjfoDS953chW77MXNx1nbCAcIpULqgI1DZP3C1PtFazxNO48Mc1fhooqVc3H9CQh+efppmlKvtjCSbuHaYYB0gcqJQZvYNLTxAbHqsUABXA1dOFgUt7ym/Rf4Z3T/wYUm08pgSzItCzWW3ERcdzYu05uk1rT8HsXqz9/WdObbrICs11OaCymK28vPOaM1svYUwh5pgQZ2TvgqO4ZHCWgymQgskXt18jqAR0Bq0c9MZExDGw0hjmnB7/Xe5deGCEgvj97vEHRtSdwpbXy+R7SRJVncCnl18wG83cOnafF3feMHrrIBLijExvt0gxpj9mHGDsziHsmnOIyJAoKjcvT64i2WXeUMrzu+TGDNwyulKjTWWC/UPZPnUfxgQTrhlcuHPiAbeO3kdQCXSe0FoOpgCa92tA4151iYuOx8XDGUEQZPsTY7wJY5OikNUNEjNZGrWKglUKMWxR7790HR+9/UJCCq6ayWLl8buAP10v2D+U+T1W4vf8E7mK5mD4xv4079+QawfvyCU/rV7Lz8Psy3sAZzZf4uF5n+QOX1UCWfNm4mDYJnQGndzlKggCc85MZErrebx95Ie7tysjtw6kTG1lgC8gJbJSv6T1a1aFCoVy4OSg4/S9lzg76OlQuzRZE/33qreqxJ55h5XZ6xTK6CDJp6R+mdE76NjxcTW6FDIWxaoUYr3PIp5cfo7OUcucX5ZhNlrke/X0povU71pL5mel478fgiBkB5oAM4ChACmCKQFwILlPtGjSMsBF4NDfOdYkpAdU/2PIVSS7wpYhPCgS/5dfyJTbS+HhV6BsXoXgZ5IujiqVCKgxsW0/JUzxJoWJaVp4/9QP39tvyJDZnYqNy5Aplxe5S+Tk3eMPmI0W1Fo17l6uFCyXLIy5dsRW+eFrSjAR/CmEK3tvUa9L8kM4/GuEYj+iTaTIDwXJlj8zo+pNk4QszRZUGhX9FnWjya9SNiC1errValUQcSs0KM3IrQOZ0X6xIsjTGbR0GNOKUQ2mE/YlnOyFslKnU3UqNixt50kWHRZjp6aeKacX29+v/O65So0NY3fYlbWSYLPaCA0IU3zn4uFkF6yqNGoE7GdBURQVOlkpIQB6J71CWd0Ub2LV0C2suDP7m+N9efetkvhtEwn7GkFYQDgZs0kdjU+v+hLwLjBZVDXOyOXd1xmwpLtk5pxKU02j06B31LH0xgz5O9/br+2yMq4ZXBTcuzJ1SrBtyl7UKhUhn5XnaeukPTTrWx8nt2ShTo1Wg2uG5GaIHTMOyEG10/X3RP5UApVOjd6gw9XRQM9GUkbKlGBCpVYp+GKpkSezB7d81ZgTAwa1SiCXtzsgdfyFRsXh6eqo0GsyGc0MqTaekM9h2Kw2wgMjGVJtPIuuTkOr10oq6qKk/u/gnLZGlp/vZ4X+mGgT+fwmIE0bF6/sniy/bX9twwMjiI9JIFNuLxpXKsr28w+IN5oRE4/j5xolKVsgG1O2nuHo7ecANKlYBG/35HOZp0QuZp4Yx+phW4iNjKNm28p0ndxOsZ/U6u8gZYN1qTTBQCKe1+tSk7Cv4Xb3u1qjIvhTSHpA9b+FxcBIQNGtJAjCJqAx8BxI6jB6DLQClgAtARdBEDxFUUzbxPRfhPSA6n8YVosVdy/XNHk5xaoUouuUtmwc9wdqtQoXT2dFij0Jnlk87NL9Npto156cEhd2XWNhz1UgCAgqgZLVizDt6Gjmnp3ImuFbeXnnDTmLZqf/4m4yvyHwYzDx0cogwma1EZsqcMtfNg/Pb76SJ1a1RlIfP7XxIi/vvSUhScvKBMsHbqBB99poNBpqta0icb0SJ0tBJZAzlSJzzsLZ0TvqFONQazWMazpLDr6C/SVPPwdnA4uuTiNP8WQ7leqtf+DCzqsKLlKgXzBTf17AmB2DFZZA30PKLqW0cH7HNaq1rESlJuUAqNSkLDmLZOPDM39MCVJ2r9esjpRvUJp9i47JHV4GRz0tBzUmb8lcTG+30C4bZ7OJae47KYATRZFTmy5wcv15Sdh0cluKVyuCq6ezXWnHZrHh4GJgz/wjXN1/C9FmswvMBZVU3vPM6mEXKJlNFpnDk4QilQrQdkRzds85JAvQTjsySjG5Lui18ptWSmqtmqjQGEVAlRopu1rVEfG4b79HrjYVaNezHtVK5EFtExnXZCb3zjwGAZr3b0j/Rd0QBIGImHg2n7lHUEQ01YrnoVejSlx/9oGA0CipA9KgY1T7Otzy9WP4mqPYEqU45vdpxg9FJKXyj8/9JXJ8CjX06PAYds0+KN3biafJarayetiWNO2c8pXKhcFJL5fzVWoVuYr+tRKYKIos6r2Gc9svo1aryZDVgwWXprB5RHtWHbtJTLyRRhUK06JKMTaevsvp+y/l58PZB6/IltGN3k1+kLdXskZRVt6d8839qTT2Uoh/ppTu7u2Go6sjpoRksr3VbP2HLGvS8W9DRkEQ7qX4vFYUxbVJHwRBaAoEiaJ4XxCEWilXFEWxeyK3ahnQDtgEDAeWC4LQDbgCfAa+z+P4F0D4XpfKfwrKly8v3rt3788XTAcgle4mtpjLizuv0Rl0DFzWg4bd66S5bHxMPDERcbh5u4KI3ZuhzWajoa69YsLT6rX0XdCV5v0b2G1PFEWauXRWBBUGZwPjd/1OpcZl0xyD1WKlW6HBfP0QpBD60zloWXV/HjkLJ/Oh/F9/4dcSwxRcDIOTHovZIhGoU/nWlaxZlDlnJiCKIutHbefcjqtEh8agd9Qh2kTaDGtGt6mS3s7Ta74MrTFRsb5Gq0ZQ229XEKBI5UIsuTZd8f2ZrZdYMXgjcVHJnQF6Bx0tBze28/1LidvH77Pg19XERsTilSMjIZ9D5XOYVredg4uBwxFb5WDCbDJzdusVwgLCKV6tMKVrFwfgzaP3bBr/Bx99P+OSwZkfmpaj7YgWvLzzhuWD1vPxxRd523oHXZolz4pNyjLj6BiOrDrN2hHbFPpHCy5NpWC5vExuNY8H555gMUldm+3HtCQ+Op5Dy08lZ0sEUKmkY9HqNeQvk4cl12cgCAIX/rjKgp6rUGs1WM0W+i3qRtM+9dM8V8H+oYR9jSB7wSyyEW5SGattll52XW1J18sjszs7Pqz6blZp/5LjrP59s+K72h2qMnbHEAAW913Dma2X5fvB4Kin/5LuVO9YjTZTtxIWHYfFasOg09C1Xnl6NKzI43dfsFptlMybFbPFSqNx64lPIbnhoNdyckYvXJ0MfHr5mX7lRip+P3pHHbXbV+PUxguKcbl7u7H363q7Y7DZbMzrvoIre2+i1qhx9XRh4ZWpigz1t3B+x1UW910jB2NqjYoSNYoy79wku2V7LtjDwzefFd+VypuFTSPs9au+hVObLrB80EbFPTV25xAKlM0rqbk72KurA/jefsW4JrOIj45HpVEzYtMAwr9GcHLDeRycDXSf3kH+Dfy3QhCE+6Iolv/zJf85cCqYRSy2tPvfsq+7jWZ999gEQUjiQFkAAxKH6oAoip1TLFMDGCmKYtNU6zoDL0RR/Mf9zv5BpCul/w9i6s8LeXX/LaJNxBhnZPnADfjefp3msgYnA0dXn6a58y80c+7M6AbTiI+RggG/5594esWXgmXzKlSYVSqBEjXS5tSYjWa74MNmteH37NM3W8wD3gcRERSpCKYEQaDbtA6KYArg2oHbdun+hFgjFpPVbr8glaNOb7qIVqel56xOJMQaEUVJLNEYb2LfgqO89/mI1WplertFdusXq1oItdr+ZyKKEOJvn02u36UWhSoo2+ON8SYepGoJT4kPzz4xre1Cwr9GYEow8/V9IG5errhkcMY10VQ6pcI0SB1TKYMfrU5Lg261qNupOnlT+LLlL50HJzdHwgMjeX3/HbvmHGJozYkUr1aY1Q/n02JgQ1w8ncmQxZ0By3qQs0g2u/P74Mxjjq4+zf5FSk9DY5yJUxvOSwbW+4czfOMAeszoyNQjo+g0rjVHV59VLK9Wq8iaLxNZ82emZtsqzDo1HkEQuHPyIYt6r0GtUWM2mug6td03gymL2cKeeYcZ12Qmbbx78pN7N5o4deKP2QcBKFqlkJ19EgCCQEx4LCuHbPpuA4LFaLFT3L5z4iEB7wO5c/Ih904/VtxnCXFG7p99wqXHb4mOS5A1mhJMFjadvotGraJ8wRwUzZWJ+6/9OX3vJarU5VlB4FNwBADOHk7K7kO1itK1itOgWy3FPaBz0FHj5x9ICyqVilFbBrHpxRKW3ZrJppdL0gymrFarXQb49YO3ikYVq8XGu8dp20Jl9nBBnXKsgkAmj+9ryb2895bTmy/K6uUNu9eh36Ku5Cyanbwlc/HLpJ9Z+OtquhUaTMsM3Tmz9ZLdNj6/CWDST3OxJJb2KzYsw9cPQWwcu5P3Tz/y/OYrRjeYztSf5/Pwwrd/d+n4z4UoimNEUcwuimJuoD1wAfhFEIT8IHOomgMvEj9nFAQh6Yc7Bqnj729HesnvfxC+t14prDisFitPLj8jW/7MuGRwVkyYl/fc4MDiE/Ik8+SKL0v6rUPvoOP8zqtotBpsNhu5i+bgw7NPOLk7MmxdP0WpKyV0Bh05Cmfj08vkzIcp3sTmibu5d/oR04+PtcuCObk62FmH6B11lK5VjNQI+hSqENRMCZVKkFq7UwRmxjgjXxINYSOCIu26xNVaDV/fB+Hi4URsoiJ8EgxOepr2rU+g306CPoYoskRavZZSaYwPJCuflBpcKrWKTCnELlPj8aVnSrNai40Q/zBOmXYhCALvnvhx9+RD+e+CAF45PBUioYF+wQyrNYnIkCgsZistBjakz7wuRIZEcW3/bZlDZk4w4//yC763XlG8WhH6L+pO/0XJb6Vl65ZkTKMZfHqRnHmwmK2sGb4V11QCiYIgZTBAmsRr/lwZs8ksB612PQgqFU1616PN0GbydwlxRqa1XaCYxLdO2kONNpXT1CVbN3IbJzecV2RwsMGO6fvJVyo3w9b3Y1yTmby6/w5EKN+gJA8vPJOMkxPMnNlyCZcMznSf1iHNa6FSq+wyglaLlV+LD0Wj00jyE4mK4wBanYbMebwwmi12pG2rzYYowqfgcLrN243ZYsVms9lZCJktVsJfB/DYTxLBTMlhU6kEStUuRvFqRRi1dTBrh28hPtZIjZ8r03dB1zSPIQlJSuhp4fTmiyzptw6b1UbmPF7MPj2BzLm9yV4wG3pHnXx+BUH4po/i4JbVuPUi0RJJBINOw2+tqmMxW/j6PghnDyfcvZLpBrvnHmLb1L0IgoAoQvP+9ek9twtNfq1Hk1/rYbPZaJe1N5Ep6ARL+6+jSKUCiq7dWZ2XKoR37515xNOrz+0aLa7uv82dEw8Zur4fdTqkLS+Rjv8qCMAWQRBcE///GOiX+LdawCxBEESkkp+9p9bfgPQM1f8gXDyUHBFBJbBpwi7aZetNx1x98fNNlue4f+6JIotgNpq5d/oRFxK1pWIj44iPTiAyJIpTpl3sD9pox9tI7a0188RYchZRZpbMRjPPbr5i54z9gFQatCXyau6efkTGHJ5yFszgpKdU7eI4ezhxYPFxDq84RXiQVMYpU7t4miar0jiUwVTStpIyRhmyeNjxmKxmC7mL5cDZw54HJIqQJW9mVt6bQ4cxP5G7eA5UKgGVWkWJ6kVkjz7F9qxWuk9vj0cmNxycDTi4GHD1dP7u5Ofi4YRKrYw+DE56OfDNWzIXA5b2kM2JPbNlYNbJcYrlp7VbSPCnkMRsnYXja85y69h9zEaLws4GpPvB9A0V9Ey5vNj4fLGd2bDVbKVY5YKKLIneUU+TxEySKUEyo23q3Jm2mXvRp8xwGveqK18rQSUkinoqu0FDPofZaSEl6aWlhUt7biqDqUQY44w8u/ESFw9nlt6Yyf6gDRyJ2opWr1M0HxjjTFw/eEf+/PVDEGe3XebWsftYLVZqtauSqL8lJB6jDlOCGWO89FsQE+8xvZMeB2cDGbN70n5US4rmyqTQadJr1dQpnR+VSmDq9rNExSYQm2Ai3mRBpRLQqFQ4GXTotWq8XoYwt81CJjafw92TDxWSGxazVbYQqt6qEtverWRf4AYGL+/1lzl5qfHm4XuWDVyP2Sh1kX55G8j4prMAaNSzjmTT5KTHydUBV09nRm0dmOZ2Mnm4cGBSN8Z1rMvYjnU5MLkb1tBYOufpT//yo+iYoy/rx+wAJOHYLZP2YIwzJZohGzm84jT+r5Ovc1RoNLGRypcatUbNuydK4vrn1wEKCkJCrNGuGSQJxngTGxLHkI7/ToiieEkUxaaiKNpEUawqimIJURSLi6LYKanrTxTFfaIoFhBFsaAoir1EUbRXfv4bkJ6h+h/EsA39mfbzApJs4U3xZrncFuIfRv9yI+m/RFIszpzLy05/SO+ot+syCw0IT8w6JE9+bx9/YFLLuQT5heCZzYPJB0ZSqHw+vHN6se7JQvqWHaHwkzPFm3h+8yUrf9/EkZWnQZS0sz6/DsAUL3VNGZz1/DqnM0UqFaRP6eFYTBYEQWDrlD2sfjCP6q1/4L3PR3ZM25emNk5KqLVqGv/6I9VbS6URjVbDjBNjGdd4JhaTBZvNxu/r+spv4P0Wd2PNsK3yZFqzbRW5a6jb1A50m9oBq8WK1WK1Ewv88OwTE5rPJvBDMO6Z3Bi5eQDx0QnYbCJlfyyBi8e3LUeqtf6BvQuO8unlF4mDpFMzcJkyWKvbqTo/NCsHosSdSboOey8/Ztnh6+gevENIcT6McSbePvrAD03LkbtYdt49+YjFJJWz9I56Clf8vmq3q6cLYSk6KjU6DZWblafGz1U4uf4cDs4GOoxtRZ7iOTm54TxL+q+Ts4w24OPzzzi7O9FvUVeu7ruFa0ZXuk1tJ3f9JeFbhPRsBZSE9CQYnNIOpvWJPolJSCKeu3u72WWc3LykTNvjS88Y32yWfC7zlMzFgouTWXlvDlsm7SEyJIoS1Qqza+4hhUWNo4sDLQc3Jl+ZPFRoWJqgmHj6LdmPIEhlLwSoX74QYzvUBeBzSJQi2LLaRGqXzkvzH4pxbcMFrl99nfz7S5XV0zvoyFMi7WxwSrz3+ciTy89x9XShWquK3w22Xtx5o9iRaBP56PsZi1niv808MZbXD96TEJNA/rJ5cHJ1/Oa23JwMNK6YXP4f3noeYQER8vPm8PKTlK5dHK/sGdBo1Yrsss1qI/RzKNkLZAHAxcPZrsvYarGRKZeyXJmzcDZe3H4t//4NTnpqtavC2a2X0w62/0SwNx3p+GchPaD6H0SlxmVZeX8uT688x8/Xn5MbLii8vEwJZlb9voUvr7/SaUIbzm2/SugXqZNLUAl0mtCGVb9tkpcXBMiSJ5MimEqIMzKi7hS5KyzEP4xR9aay48NKeTLLXSxHKnsWLTaLjRPrzsuT7/snyfwMm9UmlQ4cDawduU3RbWc2Wlg9bAsTdg+ly6S21PulJr1LDUvTggYk0vbQtX2p1a4qIPEuPr34QpZ8mdjzdR0hn8Nw93aThUMv7r7Otil7AchVLAddJrXFNaML3QoOIuRLGHlL5mbCnqE4uTny7PoL1FoNxasVRqfXYjKaGVFnstz5GP41gqk/L2T7uxV/6k8IUiPAkhszuLDzWqLYaRFZQ0sURTZN+IM9c48gCJC3VC5mnRyPq6cLN55/YNGBKySYLLg561FHxMvTpN5RR9Z8mWStoaUD1vPi9muyFcjMkNV9cPwTk95RWwcx8ae5qBKDywLl8lKzbRXUGjVFKxdk1e+bWNBzFTkKZ+PGoTt2JVurxcrr++9YeGmqLF2RFi7vuUFSWlGtUSGoVTTtU8+OtxYeFMnbRx9oMaAhG8fuxJgoHwASMTx3iZzU71bLbvudxrXiyr6bJMRIwa1Wp6Hfwm4AzO22XHH/vHv8gfM7rtKgW23GbB8MQHxsArvnHVYem9VKw5512DPvMKuGbCKgSk6iPRzk5KhaENCq1egTye8l8mQmLCpWtgsy6DRUL56XmqXyceLFDqVnoig1QmgNOkSbjYLl89FqSJNvnj+AG0fuMrPDYkRR8vzbt/Aoi69Nk4Oq0IBwbhy+iyAIVG1ZkYzZMih4WgCOrg4IKoGEOCMGR/0/LD/g/zJAwZU0Gy28e/yBEtUL23HXLCYLT676UqqWRB5Xa9SM2jaYOV2WyiXzxr3q4p0zIyc3nEelVlGlRQXG7PiN32tMIDYyDqvZStWWlRi0vBeVGpdj/+JjPLn8PLnRwlGXXu5Lx9+G9IDqfxQ5C2cjZ+Fs+Fzz5eT683Z/N8YZ2b/kOL3mdGb1w7ncOfEQY7yJ0nWKkzFrBoI/hbB79qFEPSA9Uw+PVKz/+XWA3QNSBPye+8sO8f0WdePpNV8iAiNBEMheIAsqtUpRYkyNJMPUyFSyDKIocm3/bU5vuUTBcnnJkjcT8y9MZnDlsWlmqmxWkRyFsxEaEM6oelPxe+4v6QZp1HSd2k62DBFFkXk9VnJ2yyV53XeP/Ti5/hwPzj+Vu/Ve3n3D0JoTMSWYZI6Qd46MLLkxg7CAcLu3YLPRxKHlJ+kyqe03jzUldHotDbvXVnx3bvtl1o/ZSdiXMJmf8+6xH3O6LmfGsTFc93kv83Fi6hbE9agPAmDQaij7Y0lqtZeCSWd3J8bu+A2A+2cfc/3QHXIUzkb5+qW+qYBe9seSrHuyAJ/rL3D1dKF8g1Ko1WriY+IZWHE04YERWC023vt8/KZid0pT6rTw5Mpzlg/aIGcVbDYRwWbj9KaLHFtzlp6zOtFqcGN8rvkytslMVCoVFrOVUrWLkbtYjsSSrDfeOb0oX7+U3OmXEhmzebLeZxGX99zAYrJQ9aeKckYyMpU9kCnBTOiXcMV3Dk4Gph4axcSf5krSDzaRUVsHs3nibq7tl/wJYyzZFJVmq00kICx52+M7/siXkCjefAnBJoo0LF+Y5pUl/l2RygV5dv2lfP/oDFrqdalFg+610Rm05CmR0y5rkxoLf12tuP8++vpzadcN6nWpif/rAAZWHI3ZZEEANo7byYq7sylTpzgPL/ggCNKLTM22lWnq1Bmb1UbekrmYeWLsd6+fzzVfTm64gFav4adBjWVlcq8cngS8C5SX0+o1ZM2fGb2Dnqz5M/PB55NiO08uP4cJyZ+rt6pEgbKLePfED+8cGdE76uhRZAgWsxVBgA1jdrL64Vy2vF7O51dfcHBxkLl2PzQtxw9Ny3H39CPWDNtCXHQ8NdtWodd3umvTkY5/JtIDqv9xFKtamGqtKnF++1X7LrtEHpPeQS+XxZLQdXI7WgxoSFRoDJnzeNsRyd28XJVv1khvnO4pNK9e3H4tde8lTtqe2TKQIbM7ao1K4bmmUgnSZCqAWq2mQqMyBPmHyCWwJNhsNuZ3X4GDiwNqjYpJ+4aj0qixpSL5anUaGv9al9zFckhyDO+DpPWtNkxWG+tGb+f42rNUb1OZnIWzciHRTDkJZqOZe2ceK7q9bFYbgX6SOW5SAPHl7Vd2TN9Pu5EtsJhTnwsru+ccRhDgl4l/LahKieuH7rC471q7EobFLKmaA2RwcUSrUWG22LBmdCKiYzmyW1U0rlmcmyFhDFp+iP7Nq1Ast1Q+Wz1sC8fXnsVqsaHWqGjYow4DlvT45hjcvFx5cO4JT6/64p0jI0PW9OHr+yDiouIVBsRpweCkZ/S2QQDcf+3P0oNXiU0w07hiYbrVr4BKJdgp04s2ERFR1pHaOGYHlZuWY+rPCxXZyieXfflpYCMqNCzzl86lh7ebrIh/5+RDzu+4SqbcXhQsn4/nN17JLwZavYZiVQrZrV+6dnH2Ba4n9Es4HpndMTjqmfPLUnns2k8RWD0cIDGgM+g0VC2WW17f1cnAttEdCI2KQ69V4+KYLMjZcWxrXt19y6NLzxCQMoF9FnTBwclAQpyRTy8+kyGLx3dLxik97kAKDIMTO1DXjdxGXHS8fM+ajWa2TNzNlIMjeXjBh4jACEQk7amk39r7px+Z1m4hCy9NTXN/9848ZnLLuRjjTQiCJLWw9MYM8pTIxfjdvzOy3lQQpXu1SosKsj1PtgJZ+PjcX34BUqlVZExhtJ6EzLm95SBpbOMZxEXFy88us9HC1sl7GbK6N3lK5LJbFySR3pSmyelIx9+F9IDqfxyCIOCRyR21Vq0ITtQaNdVaVUKttn+rT4K7lxuuni6sHbGN42vOggAtBjai58yOZMyagda/N+HQspPYrCIqtUCjnnVlaxuA2V2WYYpP5kw8verLgCXduX38gewvp9GpqdK8Ar63XuGRyZ0seb0ZWmMijq4OZC+UlQ9pKCnHJxr9zuq0BEcXB4XpsEanZtiGftTtVINPLz/bKasDIMKXt4HsXXAEdy83O0NdkOQkElJl0uy4PkYL/i+/4JbRlY7jWrNj+n7FOTYlmNgx4wAdx7X+7nmOiYhF56BTBK12nWwpkDQJta1Ziv3XnhIRE4/VakPtYqBKlWJsufFMzlw9fPuZLSM74GYVObrqtNxBZjbCiXXnaPVbE0UXl8VqIzQqFjcnByb9NJdnN15iNpoJ8gvhtyrj+G1179S8f0Di+qi1asxGC5Wbl8fBWc/DCz7Eu+oZtPaoPJ71J29jsljp27Qybhld0eq1acpdQCI5/XWAFJSngM1q48vbwDTXuXvqoXQdzFZ+GtyIHzvVkP+2edIu9i88hjHehN5BR6GK+clTMifvHvuhUqvoObMTpWoVw8/Xn2fXXuCa0YXKzcqj1qjRGXSK86TVa+WAyvH+J3B3wJjXE5VKoEWVYrSvlRzsBbwP5Mahu6jUKmq2rQwpAiqdXsuM42MJ/SIpo3vlyIggCPhc82Vc01lSxtZsZcDi7jTpnXbptFjVQpL5sSVZDPTQ8hM061efsK8RivvWZhMJ/BiMIAiyh+Su2QcV963VYuXlnTdp7gtgy6Td8rGLokQK3zP/CKO2DKJgOcks+91jP1w9ncldPKecBe0zrwtPLj+Xrrcg8d56zOj4zf0AhH4JV7wIWi1WQj7by5XcOfmQud2WExMeQ4Fy+Zh8YASeWTzslktHOv6VSA+o/h/AvVOP7ExJvXJ4MnJL2t07KbF3wVGOrUnWEzq07CQZs2Xgp4GN6DmzE+Xrl+bDs0/kKJSVsj+WlNez2Wx2itWi1YY5wcyG54u4eeQeok2kUpOyeGRyRxRFFv66igt/XJODMJ1Ba0eYT4mI4CjmnpvIpJZzsVltWExWes7qSN3ESVTvqMdsTntdkNS8wwLCE9u4kx/agkrg9zV9OLr6DD7XfOUJOHvBrPg995eJtXpHHSWqS4TczuPbYDaa2TvviMLmRrSJBPkFs2/hMcIDI6nWsiJ1OlZPHH8kYxrO4IPPR0Sgw+iWdJ0iWXMY0uhkVKlVGJz0jNgkdQS7OBrYM/4Xztx/RZzRTJWiuRi84pCiLT/BZGHFtN2Enn1uZ7+j0WmIDImSA4VX/sH0W7KfOKMZmyhiCAhCl3isoihiNlk4vPwkiCKCSpAnapVaRYYs7vSY2RH/VwHsmn0QY5wJjU6D5fJDEvJ5KsZz8NpT+jatTPU2lVg1dPM3r4/FZCFn4WxkzZ+ZL28C5LKnoBLIVzq33fKPLvowpfV8ebJf3GctiCI/dq5JXHQ8u2cfkvl8CbFGXt59y6yT48hfJg9avQa1Ws2tY/eZ3n4hIKBSCeQvk4d55yfZlRO7TWvHulHbpeNUq8j5LIjVO0fi4uGMOkWJLsmX0ZzYXLFt6l5WP5irkDQQBEFB1reYLYxvNlshDrvq982UqlWM7AWz2h33xL3D6Jynv6KRJDoslv2LjlG+QSk5o5mEz6+/Kjw7M2TxQKvXYrUkv0AkEffTQloBcEqpBxcP5zQlRbLkzcSG54u5fUzyVqzcrLzMMRRFkeNrz3L/7BMy5fKi47hWuGZwoWKjMnx+EyC/XKSVRfR/HcDUn+fLy7y+/5ZxTWay+sG8bx5DOtLxr0B6QPX/ADyzefAhhbCmWqOmQsPSckZEFEUenn/K59cB5C2VW/HAunHoTioxRyPXD96RSyilahVTPDxNRjM3D98lJiKW7AWy8Pl1gILjVLhSAVwzuNCgWzJfKDwoktH1p/EuBUEdpJJB1ZYVuXvyofywTBn4OLs7UrJGUXb5r+Xr+yA8MrnhlkIr6cbhu9/k96SEKIroHHRSu7oAvef+wg/NylGpaVku7LxGkF8IBcrlpUT1woxrMosXd14jihJnIyVhuFnf+hxcekIOXLR6DYUrFmDgD2OJjYjFarFx5+RDgj6F0n7UT8z5ZZkkKpo4ye9beJQC5fJSpXkF2o9pye0TDzDGGRFFqYzZcVxrmvT+UcFtcXbQ06qa0sw2JfS+gby47ScbJ6eEWq2S7XdEUWTAsgOExyRP4uYqeXD7Go0mQvrOGGfE59oLu+0kec4lxJrYO/+IfK0sJgvGWGNK2SZ5vwBvH/lJHaXR8YrtOTgbsFqsDFrZi0y5vJh6eBQj6k6WSo1mK53GtaJ41cJ24ziy6rSihGiMM3JgyQk5oFKpVZCiRKlSSWKfKYPXed1XKDKDrx+848q+W9RO5KMlocWARmTK5c2tY/dw93aj1W9NFA0IQRExfAqKYOuobYpAx2qxsm3qXoat7w/Apd3XWTd6O6Z4E3U6VKP3vC5EBEXavQCptWr8nvunGVC5errgksFZsR+LyULo5zBqd6iGRquWA0mA2MhYgj6GyGW1Oh2rcXLDebkjV7SJjNz87Zetpn3rsXrYVoW6eaOedb+5fEp4eLvRsIe9a8PK3zdzav15EuKMaHQarh64xfqnC+k6tR3Bn8M4v+MKiNJ9umPGAYpWKSQbkz+7/kLBBbRabLx/4ifbMKUjHX8X0gOq/wfQf3F3Bv0wFrPJjM0qojNoaTm4sfz3Jf3Wcn7HVSn4EAQ6jGlJp3GtgeQW/aRARqUScPNy5fnNlyTEGilUIZ/c1WdKMDG4yjg+v/ma6N0m8abCAiJQqVUMXN6TAmWTzZAfnHuC33N/zmy5hN9zf1JDpVZRpFJBJuweitViZeO4Pzi84hRanQabTWTygZEIgiB1eRVTepXFRcezcdwffymgMjjr6Ti2NVf33eK9jx8bxuzgzJZLzD03kXq/1FQsu+DSFCKCo1BrVApTXbPJzOphW+WuMb2DjsrNy1OgbF5e3n0jl2OMcUZ2zT5I+1E/4XvntYKDlBBrxPfmK6o0r0D+0nlYenMmR1efwWax0ahX3b/UedWtQQUW7rssZ6kcXgSmGUxlzu3NpP3D5W6/yNgEomKVUhlarRpVFjeIiFdkpNKCxWwhOizGLpuoCYqxKxEWzCa1wadWJAfJ223WqXHkLJJd5g3lLJyNHR9WEfwpFFdPZ/l+C/kcytcPwWTLnxmPTO5o0iClJwVvGTK745UjIwHvAhUSCoVSyUfEpBJ3tVqsaZeNSSZBp8axW8+ZsfM8Wo2K2BwOOBb2xvAimceXZI3z6KIP83uslIPA4+vOodZq6D69vV0XntViJWv+zNhsIrsuPeT6sw9kyeBK36aVyejmRPkGpTm37YpknoyUna3QqAwGZwMavVYRUIk2Eb1DcqCh0WqYf2Ey904/IioshuLVCpMlT9pingBNetfDZrVxeOVpNBo1nSf+TPn6pb65/J/BarFydOUp+TdiMVmIDo3hzslH1Py5MlVbVODagVsY40xYTFYsJiszOy5hl/8awgMjUGvUCq0xkEqb39KmSkc6/lVID6j+H0COQtkYsro3c7osw2qxYRZgRN0prH28gPDACM5tv6J4K98xfR/N+tbH1dOFXrM78eiij/zGrNVr+fohiFENpqNWqVBr1Sy5Pp3sBbNydutl/F99UWxLUAkcDNuEzkGn4BGtGb6FY2skgnSayucCOLk68uMvNRAEAY1WQ++5v1CnYzU++vpTokZRvFJpGiUhKjSavmVH2GU+vgWDowG1RsXHF/7SAxsrH559YmbHxfw8vAUFyuaRJ3dBEHDL6MKtY/cJ/RJO4Yr5KVA2L1sm7ubW0XvJQYcgUKhifgQEuy7EpMktY9YMCkKx3lGHd04p2Aj6GIzvzVcUq1yIKi3K4+D8fZmDJLSpXhInvY6jt57hqNcR8yCQt0FKw+Na7aoy7o8hfPgaxoPX/uTPmhEXRz1qtUpu7QdQ6zS079uAsLvveXHntb3YZorUk1qtpkyd4rxsUYGbR+4mc7Wy2JeOXnySyP0laxQhQ2Z3goxmzCYLekcdlZqUo1gV++yTRqtRcJiOrj7N6qFb0Oq1WMwWRm4ZSOuhzbhx5J4ic9Ix8cVApVIx7/wkprVbyLvHfmTM6sGYHb/JxuHR4THcPHKPTLkyEuiXrIqvUqkoVs1+PDERsUxru4DHl55hcDIwYGkP6v1Sk4iYeGbsPI/RbMFoBtQqYqvmRfcxHFWcGb2jnmqtKgFw9cCtVBk1E5d2X6f33F8Yv+t3prdfJNnxmCx0GCNpfs3edYEjNyWOnFolcOXJO/ZP6kL/xd2IDovhxuE7qLUaOo5tRY02lbFareQvnZvX999JpevE/afu4FNr1LLZ9p9BEASa929I8/4N/9Lyfwar1WanMm+zJj8XAv2C7XiO4YERjKg7hec3XyKK2P3GtAYNL26/pkydb2dv05GOfzb+pQGVIAgfgGgk12eLKIrlBUGYBrRA0v8LArqJovjlXzmOdMDWyXvkidxstBAZEs3R1WcoVqUQGq0GI8kPdo1W4ta4erqQo1A21vssktSlBYiNiuOPGQfkiUAQBOZ2W8GiK1O5uv+WHZE6KjTGLhgI+hjMkZWnFbyLlFBpVJSpXZwRmwfKEx7AuR1XWPTratQaNYJKYOrhUXLaPyV2zNj/zaxCaugddMy/OJltU/Yqxm4xWbh/5jHPb75CpVax4OIU8pbMhc1mY2KLOTy+/AzRKj3EBy7vyf2zT+zKTfdOP+a3lb+yZdJuOSDV6DTUai+phY/cMpARdaaAIGUN8pTIScOedXh1/y3Da0/GZrMhCAKbJ+5i1f25OLsrFfC/hUYVC9OoohQEPMifm4nNZ8tjMzjpaTeyBbP/uMDhm8/QqlWIwIpBrZjerSFjN55EsImIQPPKRfm1vVTKuXPyIVPbJPOTdA5ashXIwudXX3Fyc+C3Vb3JXyYPIzb1Z9mgDdw9+QjXDM5k/bkyx30/KIQttYlZI51Bx/Lbs9gyaTefXwdQonoRWc7iewj6GMzqYVsxJZjle2hul+XsDljH/AuT2LfgKEajiSIVC2A2mgkPisTD2w2v7J4svT7DbnshX8LoV3ZkYqNEUkAMegc9g1f2SjMzOLPTEp5ckYjgsZFxLOm3lmwFsqDK5o5GrSLlO4JWAJWzAZ0o0GJgQ7nc7eTmZNfx6uAsEdYrNSnH1jfL+fjiM945MpIlbyasNhv7rz7Bmhg8WG0isUYTV33e07hiESbuHSaPP6kEplarmXN2IkdWnMLP158ilQrSsIdSnuNfhceXnrF25FbiohOo06Eanca3TlMCQqfXUqlJWe6deiSXy43xJi7sukadjtUoXDE/ao0KS+LPS6UScPJw4tmNl3al0SRotJo0M6DpSMe/En9Hhqq2KIohKT7PE0VxAoAgCIOBiUDfv2Ec/08jdSnDYrIQFRpNnhI57d7udA46MqXwUfPK7slPgyTO1NKB65Wt7qJIwLtA5nRdxpMrzxXb0eg0lKhmb6IcGRKNRqexC6iS7Fbylc7N9GNj0GiTb89Av2AW916TuI603sQWc9j7db0dTyLoY4iixAGgNWixWW12bf4GZwO5imQnZ5Fs6AxaxZhEEZkYPLPjYtb7LOLh+ac8vvxcoZy9tP96ytUvybvHH+RzqdaoyZzbiyx5MzFh7zAmtpgjt+c/OPOE8KBICpbLx7jdv3NoyQm0Djq6T22HVqdlSb+1Cj5MyOcwDiw5/pc1rVKibN0SzDk7kePrzqLRqPlpUGOCtXD01vPkLAowfO1RhhbKj/vuh5g9HNAkWIh8F4OtbW1UKhUVG5Vh9PbB7Ji+H6vVSqvfmtCwuz0XRu+gp/+i7jxv+wqtXkOGwlm4OOczsQkmxES/t37Nk+1nnN2dvivdkBa+vA1Eq9MoyjwqjYoQ/1AKVyzAiM0DGFJtArsuHEIQBASVwMLLUxWm0SmxdfIeokKj5ayUoBKo2KgM04+O+aZO15NLzxSTudlo4fHFZzT9rRHWlFZMZivOh59iMNoQNCqOrzlLvV9qkrtYDpr3b8DxNWclgUqLFb2jjj7zky2KPDK5KzJJqWwqE79UZmfSGq9Or1X4JybhwfmnnNpwHp1BS+vfm35ThuAfwZuH7xnXdKb8krJ77mFMRjM9v9HVN37X77T27qFonHh62ZdrB25To01luk5px8axOxFUKjyzeBAaEGYXTCWVpbV6Dd45MlK0csF/2vGkIx1/BX97yS/JeycRTqTxjEjHPx+Vm1fg3PYr8iSUVF5xy+jKzBNjmdpmPhFBkWTK5c3UI6PsdKeSUKRiAc5uviRLCqi1avKWzMXVfbfsgpgcBbMyZsdgu21kL5TVrmvK0c2Bwct74ZHJnVK1i9nJDHz09Uej0yiCOZvVRsjnMNy8XLmyV/J4q9CoNOUblOLuqUdy6UfnoKNxr7pkyOLBlom75IyAoBLIll+SeWg7ogV3TjyQLDhMFruOuMCP0jtBRFCUnemvzWqj+/QOPL/xErPRgiiKqDVqXDI443PNl7NbL8uikBaThbCvEWwYs4P6XWsxNakrTYAHZx+z9OZMmWOTBIvJIusK/VVExiYQGB5NFk9XilUppGg0uH/5MTZRWUIJjYxlycD1WOPNqEJisAE+4fHcP/tE1vSp1rIS1VpW+u5+A/2CGVR5rESmt4lkK5CFzYdGsOf6U2LjjTSsWASrbwC/DR2PWqOiw+iWf1lPCiDsazgbx+206yC1WUW8ckjl0iOrzvDR118RHC/otZIVd+akuU2/Z58UvCrRJhLsH/bNYArAyd1RcS9q9VrcvFxxcTQwq2djxmw4gUoQUD3+gjbaJHPaBAEW/rqKpTdmkjFrBtY9XcCJ9edJiEmgeusfZN/JJJhNZs7vuEZEYATFqxWmQblCXHj0BqPZgkoQ0GrUCs2rv4qbR+8xo/0iWUvq8t6bLL0585um56lhs9nYOnkPx1afRaUWaD+6Ja1+S27QuLTnhiLja4wzcnrTxW8GVDqDDnNCKi03s5nAD1J5+OdhzWkxoCGxUfGsHbGV89uvKpZVqQUKVciPo6sjuYpkp8uUtv+w12E60vGP4l8dUInAmUQH6DWiKK4FEARhBtAFiAT+nvzz/+MYsLQHJqOZ6wduo3fQ0WtOZ8rWLYHZZObUhvPERcXj4OLIT4Maffeh+uMvNXiaGCSo1Soy5/Fm4PKe9C45TLGcg4uBHjM72gkS+lzzZUaHxcRGxEndRxYrmXJ6MfnACPKXyfPN/WbO420X5NhsIhqdhl9LDCUqNAbRZmPD2B3MPj2Bpn3qcWjZSURRpGKjMvw6pzNqjZrHl57x+KKP1Dmn1zB0vWRWbnDUs+T6DF7cecPDC0/l1n+QyNNJpPfClfIrJl+VSiBLvkzkLZGLjb5LuH38Adum7iU8MII9845wcOkJ3DO5K8o6VouVgHeBbJm4K3lSFpMI64coW68kF3dekwMCvaP+/yRUePz2c6bvOIdGrcZmszG7VxOql0huBsiX1dMuWMjk4YLVpAyIBVBoQMVFxxMTHoNn1gxpqpIDLO67hsjgKPkcffT159rGi4xOzK5d2XeTud2Wy+f21d23TD08SpbcEEWRK/tu8enFZ3IVzU61VpXksYqiyKj60/j04rNin3oHHRN2/y4T7APeBdplP4P9w755voI+hdh95+z+bf86gKFr+zKt3UKsFmsiyVtLkUpSMFSzZD7OzunD17Ao9o3bxblbH+T1RBGCPyUHxxkye9B5fJs092ExW/i9+gT8nkvBoVav4dcFXclcpww3nn0gk4czw36uhYfLt8eaugSYhK2T9yi0pKSOyOMMW9dPXiY2Kg5Tghl3L1e79fcuOMq+hcfkl5aN43bi5uVK3URJEJ1Bi1qtUhDDtdrvTze5i+Xg/VO/FFleDQXKJd+3OoMOnUHH+ycf7USKdQYds06OkxsW0pGOfwf+1UXmaqIolgUaAQMEQagBIIriOFEUcwA7gDT7cwVB6C0Iwj1BEO4FBwf/i4f5v4vYyFjOexT9DAABAABJREFU77jKpT+uU61lJUZvG8yax/NlHse6kdu5tPsGxngTcVFxbJqwi2sHbwPSw/jOyYccWHKcB+efAtKDeejavuzyX8NG38WsfbKAHAWzUrJGUXQG6Y1Q0ksyUKKGstwXGhDO2MYzCfkchs1mw2q1kSmnF1vfLv9uMAUSsb7z+NboHHQ4uTmid9AxcvMATm24QHhgJMY4I6YEMwmxRsY2msGjCz60GdaUw5FbmLRvODqDTtZxUqlVWC1WbFaRFYM2YEss0ag1aopVKUSnca1p2rseGp0Gg5Nkujt+1+8AZMufhQm7h8p8JhdPF3IVzc7FXddx9XTB4KQnIjgKY5wJm9WGMc5EyKcQ+dyAlB0sXbs48TGphENFSIhJYODSnpSrX0qyytGpyVsyJ/sXHWNRn9V2pdvUCAyPZvqO8xjNVmITTMSbLIxef4LYhORsQdkC2elSrzxatQq1TURIMGPefBNXTxelOrzNJpdN9i08SmuvHvQoOoROufvx6eVnu30DfHnzVRFwmhLMigBo/6JjysxFvIl9i47Kn+f1WMH8HivYOnkPc7stZ+Gvq+W/RYVG4/8qQBGcGpz0DFnTW0GoLlm9iMJEWaVWUTDFxJwaNqt9kjxHCnmC8KBIHl96hv/rZFJ+pSblGLC0J4hSm350WCy/VR2Pn6/Urepk0JEva0bK/1hKMRaNTkPxNMrgaeHm0ft89P1MQqxRvpfW/r6ZgS2q8se4zizu/xM5vNzTXDchzsjk1vNopG9PU+fO7J57SPH31I0gopisLyWKIksHrKO1Vw865erLwEqjiQ5XNjZc2nU9lZyKiUu7rsufG/aog4OLg+wFqXfU0WVq2iXrG4fv8ku+AQT7h6B31KMzaNFoNXQc25LStYvbLZ+3VC40uuTgTKNV06xfg/RgKh3/dvxLM1SiKH5O/DdIEISDQEUgpc/HDuAEMCmNddcCawHKly+fXhb8BxAeGEHfsiOJjYzDlGBCtIkS6VWA2acnUPSHgtw8es+OTH3j8F2qtazE0v7rOLf9imxV0mJgI9kXK6XeE8DUwyNZO3IbT6/6kjVvZvov6W7nUv/q3ltUaqXLfXhQJGFfIwj+FMqJ9edQqVQ079+AfKVy2x1PhzGtqN6mMoEfgshZJDte2T1ZfH6NHZciLjqet48/4P/qC2EBEbKmTqBfMHdPPpSzF6YEE763X/P+6UfF/gRBoO/CbnQY24rYyDgy5fJSZGQqNSnHDr9V9Cr+O+FfI7h+8A73Tj/G/9UXMmR2R7Qpy2k2m0il+qW5feIBIFK5WXk6jm2Fm5crn158lsunekcdDbrXxuCoZ+qhUVitVn6vMZE3D99jTjDz+v47nl1/yaoHc79ZzvgUHIFWoyRFC4IUaOXNktwV2bdpZb7sus3N8z6IITFgFYlzkLoMA/2CcXZ3YtSWgWTLn4Wn13zZMHYnFpMFiwlM8SYmNJ/D5pdL7fZfuFIBgv1DZfkEvaOeoinKjWkRhR9ffEZEcCSxkXFc3nNTLksnxBq5sPMqHce1IkueTBic9Pb2SYJAhixK+5KabatwcuMFHpx9knj+bby6/5bo8Jg0LVzK/liCK3tvKjKC5RPLkPfPPmZyq3lyt13rIU1kde9TG87LZW5RFEmINbJ33mGGbxwgb7tOx2q8efieA0uPIyBQuFJ+hqz+lbCv4cRExJE1XyYFVzAlosNi7PiNZpMFq8WqWOfxpWccW3MGtUZN69+bUqBsXpYP3sDdkw+xWmxYLSa2Td1H9oJZZRuY5gMasnbEtuSOSIdkLamzWy9zdstlrGYrVuDdk48s/HU1k/YNl/fp7KEMXgSVgEuG5HPrnSMjqx7MZe+CI8RGxFG7fdU0uwif33rFzI6LUzQ76Kjxc2UGr+j1zc7Wfou68er+O4L8ghFFkbylctN1yv+dX5iOdPyz8S8LqARBcAJUoihGJ/6/PjBVEIQCoigmSfe2AOyVAtPxT8HWyXuIDI5SmBgnkZ1ndVrCtrcrcPV0kb3uQOJEeWRyx//VF85uvSw/6MxGOLD4GC0HN07T0kHvoGfQsl74XPPlxpF7nNt2mca//oi7V3KXnltGF7v2Z5vVxvunfpLCdWLm4sS6c5SoUYSZJ8bZKYZnL5CF7AWyyJ8rNi7Lue1X0zRcNsabuLDzGsM39kelUmGMN6FSq0kitYM0wac2Nk4er6td4JiE6wfvEB0WI0+oxjgjf8w6yJpHSnVmjVZNoYoFmHJoJPEx8SAIODhJnVzN+tbHbDRzaNlJ1Bo1nca3pkqLCvK6gR+Ceffog5w5MJssBH0K4c3DDxSpVCDNcWXL6IY51Tm22kS83e0DCd9zPhAUTVKIa4o38UOz8vRb2FXuxrJarMzrvkIRtIqilImyWq12XLdBy3vx+c1X3j+RSjdVf6pA8/4N5L+3H92SCc1nKzStrGYrO2ceoG7H6mi0akwp1C40Oo0sLaF30NN5fGt2zz2MMc6E3lFHwXJ5KVWrqGIMgiDw+v675C9EiI2M5+If1xVjScLglb8SFRrDvdOPUKlVdBjTkuqtKmGz2ZjSZr6sLQZwYMkJqv5UkUIV8isaB6TzIhIXrfxOEAT6zO9C9xkdsJgsODgbWPHbRk4kak65uDux4PKUNHWfStZUHpdaq6ZguXyKYOru6UdMaTVPvoevHbzDwstTuH/6saLsKXWdPpIDqmZ96wNwbPUZtHotXSa3lQV6fa6/UNguWUwWO7X1XrM7M7z2JEwJZoREG5lO41srlsmc25tBy3rZHVdK3DxyV/H7M8WbuHvqkSKYstlsfHr5BdEmkqNwVlw8nFnzcB4fnn1CrVGTs0i2PzWQTkc6/g78KzNUmYCDibV3DbBTFMVTgiDsFwShEJJsgh/pHX7/MgR9ClEEUykRFhABSNyqUfWmYjFbUalVOLk60mZYMz6/DkCt1UCKh51GpyUqJOqbHllX9t1kbtflGONNaLRqDi07xbqnC+SgpMgPBSnfoDT3Tj/Carai0qjpPKE1u+cctpNb8Ln2gqX9131XsRmgSvMKdJvWjq2TkjkhKUtOgiDI/I/sBbLgmdWDrx+CpP2rVTi6OpCvVNrdTVaLlQfnnhAXFU+xaoXJmDU5E5KU8UsJm9VKtgJZmHJwJPN7riI6LJpiVQoz7o8hAHZv3IIg0HpIU1oPafrdY1RAxI4UnxJZMrgytE0NFu67jFatxmKzMaVLA5wd7K1s3L1dFRwprV5LxmwZ5MlJFEUenHtC6Gd7/pFKo2Lr5L38f+y9dZQU59b2/atqG4cZGNzd3QkWLBAsSIAQCBogWAgEd3cL7ho0uLu7Owww6Lhbe9X3R8/UTE03JOf9zvue5zxrrrVYi+6uukun7l17X/u6uoxrp2pg8MrsyR/XZhAZHI1Or3UKSKs3r0SWXL5EpOE02ZObC/KXzovOoEMQHPIFgiBgcNeTt0Rq+e3H8R0oXrUIz2++wj9vVhp3revSJzE9h0qy2V0G3QDunm5MPzwau81xT6TcLwkxiU5CpaJG4NOrEIpXLcI3Pb9mw9jt6gxj9/out6E36NAbdFzZf5MTG85hNduwmm1YksxM67iQZTdnOa2Tp2hOJu/7nXk9lxMXmUCpWsWU0nMKNk/a6ZRh3j3/EJmzZSIizXXT6rX45Ur9uxUEgVb9m9Kqv3OAmbtoTlXHqyAIZM/vr1qmeJXCLLs1m+0z9xEfFU/9jrVUPp7gkLdYN+ZPwj9EUq15JToMb+l0rTx8PJyU3NOWSE1JZkY2nsLrB+8QBMe+zT83Cc9Mni6z2BnIwH8S/9cCKlmW3wBO8rmyLLdzsXgG/i+g6jcVeXD+qdNEImpECiUHEaVqFGPF3blcP3QbvZue+p1q4ePnjd6gRUj30qc3aMmdJjuUHquGb1Ye7jarnfjoBI6tO0unkW0Ax4N5/K7fuLL/FmHvwilSqSDl65Xmyv5bTmPJksyd5JJNWkQGR/PxZRA5CmRTHvLth7ak/dCWxEcn0KvUr8RFJmC32XHzMPBt38apmjxaDQsvTmF+7xW8efCOvCVzM2xtfwwugg2rxcqw+hN5+/iDohQ/5/QESlQrmnxuK7Dq99QTpHfXUb15ZURRpHLj8mx/v9JpzH8Vnpk81CUuweHBWKRiQWxWG+vG/Mmlv67jldmT/gu6KxmGDnXLU69cYYIiYwm+9oq7i0/wJts1OgxvhV+O1El16Op+jGw8BTk5SMua24+W/ZqwZ+EhNk3YidVio0jFgi7LdHarnT0LDvHi1itmHhurIi0LgqAKPtOjTtsaHF1zOrXMY9BRoX5p3DwMLLgwhWkdFxD0OpQ8RXMybudQDO4G4qLiObzyJLER8VT/tjJdJ3T44rmr074Gl3ZfU7ah0Wmp9m0l1TJmo5mAu4Ho9FqKVCroRLT39vVyMt+WbBIFyzgaFL4b3Byb1cahFY5yW9cJHZzKWna7HVOiWSl/v3n4TvXyIEky7585uwSkoHLj8mz/sMrpe4vZyrSOC3h+w9nE2GaxMWRFH35vOBlJkhV3g+8GpbojyLLMhV1Xef3wHXmL5aLhj3WUYKfNwG+4uPsaH55/QhAFNFqH4Xh6HFt7mst7r2O3STw4/4QXt14rEhixEXH0rzKShOhEJLvEyztvCHkbxq8rflaN0azX1+xbfIS4qATsVmfpiC2TdvHqXqAS3L1/9olVw7fw25qM9/AM/M+D4MRJ+B+IKlWqyLdv3/5P78Z/HSRJYvmvGzi88iR2u4SAgNagJXu+rMw5PRH/PK6VxlPw8s5rJrebR/jHSHIWzMakfSO+2AHYzr+navJBcBj+/p2j/PENZ1nUb7WTRlTBsvlY/WC+8vn8rivM67kcrU6L1Wylz5wfaTOwuWqdyOBoNk/aRcSnSKp/W5mW/Zp8sf39czi08iSrhm9STX55S+Rm/dNFyudX9wJZMmAN0aGxVGlSnv4Lu/9bvcPm9FjK2W2XVDIPzXp9zdBV/VgyYA0nN51X9s/goeePazNUWkJ/LTrMhnE7MCeZFRmHdU8WqjznggNDuXf6EW5ebtRqXZW7px8y44fFShCuM2iR7PJnM516Nx0bXiwhW7JkwedwbP0ZDq86hcFNT+exbTm+7iwX91yD5G5LNw8D85LFU9MjMTaR3mWHKR53Bg8DA5b0oFnPz/vHWcxWVv62keuH7uDl68nAP3pRrm5qCS3iUySDa40jMTYRyS5TqFw+5p6ZiN5Nz4tbrwi4G0j2/Fnx8vViTLPp2O12bBYbfeZ0VQUmKZAkiX1LjnJx9zUyZfWh54wfeHbjJX8MWItkl8lZODuzjo/jyZXnLOy7SikjCgLkL5WXNY8WOI0ZHRbLvTOP0Om1DhuZNOXvlcM3cWjFSSfLFYOHnkl7R1ClSXmCA0O5c/IhBnc9X7WtpsqQLuy3irPbLmFKNOPmaaBSo3JM2vu78rdis9p4dOkZFqOFkjWL4ZXZ0yEHkhx0hX2IoHuxwSpyu95Nx9rHC8lZKDsnN53nj4FrVeVSjVbkqGm7U3kuJjyWo2tOkxibRK3W1RSJj+jQGCZ+N4dn19XlxqKVCrH8tmsJjP9NEAThjizLVf5fbc+zWE659JIe/0+2davZzP+nx/b/ChnWM/8L8PFlEO+efiRX4eyqCVUURQYu6UX/hd1BdnBwjPFGxZ/v71CscmG2vV2hlF/+DnXaV+f05otKVsDhZ1f1b9aCb3p8TWJsEmtGbkWySYhaEZ1ey68rU99mE+OSmNtjORajRVF1XzV8C+d3XlWsMBp0qk2WnL4MXdVXWe/V/UAeXniKTxZv6nao+Vl9rfQI+xDhVIaMCo5WfS5SsSBLrs5wWjchJpGQwDCy5vFTccjSQ5ZlDiw7ztE1pzG46+k+tRMVG5bFYrLi5mHg/dNPKs6ZLMl8ehUCwNntl1X7ZzXbuHLglur6b52yRwmM7DY7SXFJnN1+WTG2BshZMDs5+6TydxxG1GbVuD5ZvfH08SAyKAqb1a4qqSJ82eMP4PDqU6z8bZMy7svv5tJ5TFtuHr2LKdGslL+mdVrA+qeLkSRJOQcAp7deIi4yXuFxmZPMrB25TRVQnd1+md3zDoAg0Gnkd9TrUJPBy/oweFkfl/u0sO9qIoOilGN5dS+QXfMO4pXZk7WjtiYfmkit1lXZ/nEVwa9DiYuMxzOzB3ab3SmbtXHCDvYtOoopyYwgwN0zD5FlWSkZBgUEM77VLFbem8vlfTe5eeweoihgSbbdmd97Bf0W/KRkst4//8SQWmOVQDZztkwsvz1b6S69f/axUzDl4ePOqC2DFV+9nAWz06JvY6djjwyO5tSmC0owZEo0c+fUQ948fKeU0bQ6LRW/Lossy6wZuYW9i48iSzJfta3OyM2DiIuIR2fQqgIqrd7hsJCzUHbn5oEvILN/Jn4Yoy5crBm5hX1LjjrdWzq9VsmuZyAD/9OQEVD9l+Po2tMsH7IBjU6D3Wqn48g2TuWQlLdKjVZD6NswRydekRwUqfBlqYIU/NMMz4DFPREEkUt/XcfD241+C7or5GlTkpmVv23kwfkn+OfNyuBlvcmTpjW93a8taN67IZf33sSUaKJyk/IqTkbEpyg0WvWbrc1i48mVFwAE3H2DzWpTmRlf+ut6sn+hY1LaMH4Hax7Nx+Mf+OKVrlkcN0+D8oat0Wkokc5I1xVuHb/HlA7zETUiNouNQUt7801PZ0VxgL2Lj7Bx3A6FgzOu5SxARrLL5CmWkxLVivDm4Ttl0tK765Tzmb7LT9SITqVLJ90uu6RM8LIsc/zWc649fUd2X2+6NqqMj6cbfrl80eq1KhK6f+4srLw3F4vJQu8yvxH+waFEr3fTkatwDq7sv0m2fFmp1bqqS3LwviVH1S32RgtX9t1w4jmFvo3g0MoTLP91I5JdomDZfMw4OgZTotkpe5mWN3Rh9zUW9FmhBJhzeyxFp9eqCP7p8fHFJyd5hzcP3nLt0B3VsV89cJOmPRqwatgmgt6EAg5u0/zzkxXdK4CDy04o1zFFgkBQSVDIvH3yAYDxu35j3x9HWTF0I8jwKSCY0LdhvHn4jj+uz0AURZb8sobE2CQlMLFZbOyYvY/eM38EHLpsgY/eK8eg1Wlo2KUONVv+/Ut/UlwSGp1GFQxptKLiCpAWR9ee5uDyk8r5v3H4DutHb6P7tM5odOqgUtSI5CuZB3AYR6/+3WEPJNklDB56vv6hzj8ij986cZ+Dy0+o+GuCIGDwNJA9vz/95v/0hbUzkIH/HDJaI/6LkRCTyNLB65M1pIyYjRZ2zN7Pp1fBLpc/sOw4A6qOYn7vFfz61Tg2T96l+j3odQgT2szmlyoj2TB+OzZr6gPt3dMPLBuyniUD1/Li9muX4+v0OoYs78Oe0HVsfrWMWmmyU1Paz082Tw7m/rnHDKo5hpjwWIJeh/D8ZgDGBCPuXu407laPlv2bkrNQdm4cvcvexUe4f+4x2fJm+WImxJxkYff8g6rvFvZdhdlowWa1Y7PaCXsXzoAqDjkCVzAmmvhz5l7m91pOQkwi3//eCo1W41CDL5ufUVudVd/Trz+lw3xMiWaS4oxYTFaWDlpH6DvXOmqHVpx06qayWRwZoI8vg3lx+zXFqhRC765H76ajdM3iSrDcY1onDB6O8qKoEdFoRaJCohR9qCdXX6BNN+Fp9VpqtnRwfFYevsbUbac5fOMZm0/d5oeZ20gyWWgzsBl+OTOn6gG56cjUpgK7LjxA1GlZcm069b6vRdFKhShWpTBBr4NZO2obs7v9wcTv5rjMTGhccLB8snqrtLkEUSBrHj9WDd+MzWJDsku8ffyeKR3mU615RbT61GPRu+mo3Sb13jq47Hg6VW4LB5cfV23vw4tPjPpmGr3LDGXF0A0UqlBAdX4MHnryl8rrxBcTNSK75h5wyFskmDAlmHj39AO/VBlJO/+edC8+mPvnHiOI6V46RMHpRcQrsyeiKBIZHM26UdtUHhE2q513Tz4oHbcRn6JU59JqsSmq4QC/LOyOj58X7t5uuHs7AuGfJnd0Os+ukLNQdnz8vJRjFQRH5qdwhQJOy6Z1HABHIHvrxANHifbMJHIUzIYgOkjrc09PVILMTFl9WH57DnXaVad07eL8MKYtQ1a4zhamR+DDd04vA6JGYOGFKay6N/cfe1pmIAP/r5GRofovRlRIDFqtBmsaGQCdXkv4h0hyF1GTx+Mi41k1fLPjrTT5RXTnnAM0+rEuuQrnIDoslgHVRpEUm6QQZUPfRTBq8yACH71jcK2xSrbm5IZzzDw+jrJ1vixQePf0Q3YvOIRks3Pv7GMlIEqxYJnxwyKeXHmBVq9Fo9Uw7+wkhUOzoM9Kzu+8omhgtR3aggl7hjOlw3wEAcyJFkWQMwXpJzBXb9yhb8O5d+axUhZJgdViZUitsXwKCMZisnJ+51Wa/9yIQwlbsBgtimjghxefuHHkLgYPA193rq0SE4z85GxXotVr+RQQ7NQlBTgFPGkh2SXeP/3EUdOfRAZFIwjgnzerMn7z3o3IksuP4+vPcu3QbSwmK3sXHuHwylOM3f4r0zsvUvFXPLzdmXliHHmK5UKSZDacuIUtObthtUtEJxi58PANzaqVYM3DBVzcfY1dZ+7yQidxKiSMS3svcvHhG/4Y2IZRWwZjtVhp5d1NCbqtZrh/7gkPLzxVyPEp+GFMW+b1XK4yaO4zuysnNpzj8KqTaHVaPHzc+eq76vy16LCynt0m8eLWawqWyceUA6NY1HcVcVHxlK1TUkVK1hqcH2O6NMFadGgMg2uOVTI+wYFhVGpYlrwlchP0OhRZkqjUqBw/jG3L8Q1nifwURUosY0wOoNJO8FazjaBXIciyTFxkPONazuKbng04sf6co+QnOroTS1QryrMbAQiC43qO3DwIgMBH710S/SVJVkqJFRqUJvxDhJLFS+E5pSBbPn82vFjCvTOPEDUilRqV/axuU3podVoWXJjCzC6LefvkAzkLZWf0tiGqjJuynbxZVF14giCQJblbsFC5/Gx5veyzlIDs+f0Zt+M35fPxDWdZN2obFrOVuu1rMnh5b5d6armK5ECn16qyktny+/+t+G8GMvCfRkZA9V+M7PmzOj2Y7VY7+Urmdlo2KiQGrV6d5tfptYR/jCRX4RzcOnbPkRlIDnrMRgvnd1zm9w2/8OfMfarJ2Wy0sHHCDuafm/zZfbtz6gET28z5rMaTZJd4fOUFVpNVmTQmt5/Hppd/8PbJB85tv6zSwNo95wDffWjGzk+rCX0XTmx4HONazkoVJvTQ03nUd6ptlKpZjEeXnqm+02g1JKRTfQa4d+YxIYFhyr6YkswcWHqcXjN+UIKmR5eeMbrZdAeHRiPy54y9rLo/Fx8/B8k7Sy5fpyDParGRs7CzxhBA14nfM7f7UsXLL72rpYePO1qd1mUwBg4JglObzyPZJGRZRsbBh1k3+k+nZU2JJkUtXJJlpHSZJFmWMdscQYOHtzvlWldm8v3HmJMnNZPFxt1XH3kVFEnR3FkxxpsgfVJGFIgJjyM96nesjcHDwJ/T/8Jus9PutxYULl+AXxb1oOPINiREJ5CrSA4u7LrmNJH6ZPFSxo4OjUHUaLh/9jHze69k9NbBCILAD2Pa8uTKcxVBv9PI1Hvh9okH2Kw2JeNjMVq4eeweB+O3EPY+gvioBPIUy4lOr2Pu6YmM+maakg2SJZmokBhEjaj2+0tz/mRJInfRnPSd342Le67jk9Wb7lM6katwdu6ffUxMWCwlqhdVSthZc/s53ScApWsXJ1s+B7m/34LuhH+I5PbJBwgCNOvdUFU6PrfjCgeXH0en1/LjhA7cOfWQczuu4JXZk04j25CzkOt7LgXZ8/uz6PK0Ly4D8MPYdlz664ai0K/RahiwRG1m/U8oAbdPPmDpoHXKNTq3/TJ6d51LnarabapRq001zu+4rKjY++fJgsVs/cccyAxk4D+BjIDqvxgGdwPTDo9mfMtZWMxWBEFg7I6hqtb4FOQomM3pwWe32RXOg6gRXQgcOcoWpnQChoAqwHKF3fMOOgVToiggSTI6vRaDh4GkeHUGKfRtOGHvw7mw66pTCUWr1xIXmUC+ErmVTsM5pyewY9Y+LCYrrfo3deLMTNr7O10K9FfvqyhQunYJp/01J5mdJwbBERCldO79MXCtEsDZAHtoDPuXHqPbBIdKs7uXO6O3DmHmj0vQJnNU+s7t6lK0EaBeh5p4+LhzfP1ZDO56QgJDCbj3FgFHwPl3GlwACdGJTmU2q8XqdCyiVqNkP7QakTplCnHt6VssyfwyjShQs2Qq2ddksaERRSA1uNGIIsbkgNzbz4vs+bMS/DpUCcIlm+SSZybLMic2nOXt04/IdomFPzu63L7t05gsOX0VXbMGnWpzdM1pXt0LdIwnyYzc5MjqTOu4QHUdrx26zb7FRzi15SLRobGUq1cady83tDoN3w1urshbgIP/lv7eFgRHa/+E1rMJex+BZLPTom9jflnckxZ9m7Bh/Hak5IYAySYptkWy7KxBJmpEPLzdadq9AS36NlFtJ21WKQUFy+SjRd8mHFl9SiH5V2tWkYl/DVeum5uHgelHxmAxWRwWRGnEPE9tucDi/quV4OThxaeAI6MniAIXdl1l9YN5ZMvnOhD/V5DZPxNrnyzk+qE72Kw2qn5TgbjIBLZM3Y3eoKdR17qf1aVLi6sHbzlZDl3Zd8tlQCUIAnmL50Kj1SLZHffbi5uv2DRhB31md/3/fUwZyMD/LWQEVP/lKFO7BHvC1hEdFktmf5/P2li4eRiYcXQs41rOxJxkQaPTMGH3MHyzObrQqn9bCXdPN6wmC3abhMHDQNMe9RFFkWa9GnLv7KM0GQADzXp/vmUdcMmlyV00JwXL5SdHAX+KVSnCvJ7LlGyEIIBfjsz0Kj0UQRRUk2eKEnOOgtlU45WqUYwp+0d+dh98sniz+dVSpnVayMvbr/HNnokRmwa5lIsoW7dksqijg1Ss02spXq2Iyj4nPkqd2bJZ7USHxKq+q92mGlsDl/EpIITs+bMi2SXePHyHJEmYEs0ULJtPNWbVphUU42NJkrhz6iHRITG4e7nh4eNOYmziFz3Kvu5Sh8dXXqTJ1Blo0a8JJzacI+hVCBaTFYOHgZ8mf68Ksmb2as683ee4/uw9WTN5MqZzQ7L7psopeLnr0eu0GC1WZNkRDHsYdBTN48igCILA7JMTmNBmNoGP3pMpqzejtw5xmU17eOEpd04/UgXmSwetp2n3Bqr7VaPVMP3YGO6feUxCTCJlapcgZ6Hs2O124iLV595us7N29DaFuBwfFU+lRuUYv3OUsowkSRxdc4bHl58higIarYjdJuHmYaBZn4bM7b6M4NchSifl8Q3nKFOnFIIgIAoCaXNIHt7uLLoyDUEQuH/2EatHbMGcZEHvpsMvpy91O9T87DVyhf4LulOvQ02C34RRqFw+VXdmWriS4dgz/5AqOEnfCWpMMHFy03l+HP9lrS5XkGWZ+KgEJTsK4OnjQcMuDtPjx1eeM6rpNKxmK6IosHPOflbem/tF2Yz75x5zcuM5p+8/Z0D94cUn/py+V5VNNxstPDj/FEmSiI9KwMvX06WgawYy8J9ERkD1vwAareaLQoopKF2rOHvC1hEXEY9PFm8lYyFJEtcP36FB59q8efgOUSNSvXkl2gxytNfXbFWFXjO7sH/JUUCgzaBmfNun0Re31f63ljy58iJVWFGrQdSIeGX2oOPINnj7evH48jOOrjmNVq9Fp9diNlpcZr788/kz4+iYfzndHxkczbLB64mPTODrzl/Rd/5PLnki4HgTX3R5Kgv6rCT8QySlahdn6MqfCXkbxrLB65P97TyIjYxXrGAMHnpqtHD2J8vsn4lMWX1Y1G81p7ZcQLJJDqFRLzd0Oi3zzk1yqbckiiKVGpZlfKvZPLr01EGI12pYcHEK+ZMzienRuGs94qMS2DXnALIMrQd+Q7tfW9CibxOOrjlNxKcoKjQoQ7VmFVXruem1jOvi3FIPEBQZS5eZf2K22BAQQJAplTcbs/p8i3sazkv2/P6sujfvb2U1IoOjkO3OJa6keKNSLk2ISWTid3N4fOkZolZDt0nfK2UrQRDwyepNbJpyoizJqqSTxWTl5rF7KjucuT2WcemvG5iTzOjddGTK6kPx6kWo2rQCLfo2oW3WHqpgxJRo5sWtAFoPaJZcnnQotrt5GGg39FvlGuQrkZs8xXJx59QDfLNnpnmfRoqd0Jdgt9sRxVQl9lI1i1OqZvG/WcsZTgT4dEjbzflPkBiXRMTHSGwWOxO/m0NksIOzN2hpb8XfLwWrhqXKX0h2SIxNYtfcAwxc0svl2BFBUYxvNdtJgkTnpnUqHaZgdLPpTubNokbEM7MH3+fs49AOk2S8fb3IlNWbn+d0dekTmIEM/L9GRkD1X4yw9+GsGr6ZsA+RVGlSni7j2jllqExJZiwmC96+XgiCgEbj8OpLgSzLTG4/j7unHioif41/qk/bId8CYEwwMqb5DF7ceo0sO4x9W/3S1OUEev/cY7ZN/wubxUabQc2ZsGc4u+cd5NX9QEwJZt49/cinVyE8OP+U1Q/nM2BxTzoMb0VcZDx5i+eilU83l8cZFxH3WduQz8GUZGZwzTFEBkVjt9n5GBDM2ycfWHR52mcn//yl8rL4ynTlc3x0AgOrjSY+OgHJLqF30+Hj50V8VCI6g5ae0ztTvXkll2Nd3nuDs39eUoIvwNElBkz9fj4bni8h7H04Ye8jyF0sl5IpPLHxPA8vpqrbC4LA7K5/fFbI8HP2NW4eBuUapkV0WCxX9t1EskvUal2FrLmzYLfZeXYjAIvJSolqRVi09xLxRrNSyhMFgXzZfcmVxbWm1peCKYvZ6siopC3/Cg5OTFqj4rk9lvHs2kskSUay2Phz2l8UKpuP6t9WZs3IrU6+eTVaVOb2ifuqwEGjFZW2/OiwWC7svKqQyS0mK0kJJjr+3kYRjsyWLysJ0YnK+gYPA7mL5CR7fn+W3pzJhvE7iIuIp973NQl9F0ELry7IkkzTHl8zYEkP8pfOy+R2c1k7ehs+WbwZuWkglRs7mUMQFxnPpLZzeXzlOQZ3Pb8sVouSGhOMnN95laQ4I5Ual8PNw8Cx9WexW218/UMdJ4uVTiPbMK/XcqcgJe31qN+x1mevSVpc2HONuT8tRdSKGBNMDipfcnJ52ZD1FK1cSCWvkhCbpFpfskvERcTzOby6G4hGq74/TEX9ia1VkCGHL9IkOJSRHRugS365MyYYifgY6TSOu5cbL2+9IiEmdfux4XHEhscx9fsFzDk94f8oOM1ABv6dyAio/ksRFxXPL1VGKZN94KN3BL8JZdQWR2u/LMssH7KeQytPIQgCRSsXZMbRsU4tx68fvOXOyYfKBG5KNHN83Rl+HNcOvxy+rBy2mRe3XitvjDeP3WXPgkPU7VCTmLA48pXMjaePB48uPVPKieDQhRq29hdGbhlEtyIDlW4wm8VGVEg0z66/pHy90mTLm1UpFxQun5/XD96phSOT92nL5N1MPTiKf4rnNwJIiE5UNKisZiuv7gUS8SnqbxXiU3D/7GMsZouyPxaTlZiwWPZFb/rbjMTbJx8+O+GFvgtnz4KDbBi3A51Bi80qMebPIdRqVZVPAUGq4FGWZUICQ//R/v4dwt6H07/yCMxJFmRZZv3YP1lwYTILf17Fu6cfle40/U81lWAKHCT20DRE/vDYBIIi4sjrnxk/H9dlmxQcWXWK988+qb7Tu+mYfWq8KhB7fPmZqpPOlGTmwYUnVP+2MgeXn1CJWOrd9ZStW5LX99+mamK56+kytp0ypsVocZZAEAUlsNs2/S/eP3VYvmi0Ilq9lpI1iirE77zFczNh1zAADq08wf4/jinX8+Smc/jlyMSlv27w9skHJLtEdEgME7+by+oH85w87aZ3XsSz6y+RJRlTopllg9eTt3huytQuQVK8kf6VRhAZHIXdJiGO/RNBELCarUiSzIFlJ5h1Yhxlknl/CTGJ+OfNSr95P3F5/01iI+J49+SDElgKosC3fRopJcTHl5+xZcoezEYLLfo1plGXusp+RYfGpDZFJENdqHeYTKcNqOp2qMlfCw6rSsz1O9ZWfn///BP7/ziK1WSlSfcGZM7mo/Lps+TORGKdQqDTkGC0cOTGM/RaDSM6NgDAzdMNnUGH3Zb6N6AzaPl5bleHbpcLmI0WLv51PSOgysB/HBk6VP+luH38PhZT6mRvTrJwbscVJXA5vfUixzecw26zY7PaeHU3kEV9nT3BkuKMTu37Gp1WkRx4evWFmsuQZOHw6tP0Lj2UUU2n0iV/f17cesUBF1pAu+cfBFlO3wyGU3tYMibtG0GuIjlc/pwYl+T85Reg0WqQce5kSy8O+ndjpIcsu9ZVSg+Du95la7wgCGTLl5WN43diMVlJjDViTjIzs8tiLCYLRSoWUpnDihqRgi7Kg/8n2DhhJwkxSZiNFkfGJs7I1O8X8ubhO4wJJpLijMRGxMPJp7jpU9+13PRavipTAIC9lx/RavwGBi3dx7fj1nHy9ssvbvNTQJBTc4Knj4cTUT9zNnX2S++uwz+Zr+VKf0yr1VKxYRmHpZIo4J8nC61+STX69c+bhdxFcyr6VaIiZVCES39dZ/vMfWmkAETK1yvN7JPjXV7zK/tvqbWYkixc2X9LCaZSIIoCT66+cFr/8eXnqqDCZrHx6KKj+/T4urNEfIrEnGTBZrFhMVkxGy2p3bZJZtaPcXRtPrsRQJcC/Rn77QxWDNtE/lJ5WHF7Dr1mdiGzvw/efl50HNGaQcscRO8Xt14xquk07p5+yJMrz1nUdzXH1p1R9uPTq5DPci4d50Uga7qXj24TO9CibyO8fD3xzZ6JvvO6Ks0g7559ZGC1URxaeZLjG84x+ptpxEbEU6VJBWV9SwE/SPO8MVttnL2f6kcoCAIjNw9CzOkDpXKiyZ2Zuu1rUr9jrc/aH6U0DKSFzWrj1f1AAh+/d9lRmYEM/N9ARkD134rPlFlS3tAfXnyq4iNZLTYu7L7Gr3XGEZnGQqVwhQJOE7/VZOXpdcdEmbtoDtXvGp2o6OMkxRlJjE1iYps5Lss+Ds0aP0rVKq6IOGr1WnyzZ6JkjWJOy2fLm5X1TxcxaGkvRbQSHG/BTX6qr1o2ODCUKd/PZ0jtsfw54y8nsc6SNYqSo0A2dMm8K727Ds/MnnQrPJAOOXpzYfc1l+cvLSo2KkumLD5ok4MLg4eBJt3q/a1f35uH79g8eZfTBGDw0JM5eyY6DG+ljKlAdnC+6nesRcMf66DTO/ztshfwZ/TfCIqmwGqxsm7snwyqOYbpnRcS8UldOokKjnZq/Y+NiFMplkt2CTkqiWZVS6ARRTSiSIvqJfmxUWXCYhKYu+scZquNBJMFs9XGxM0niE9y7gJNQamaxVUedFqdhqJVCjs1LaTXGNIb9DTv4yiLNe/TEEPyGIIooNNrsVltnNl2GVmSkSWZsHfhzO+9XBlXFEXmnplI9W8r4583C2XrlWLxlel4eLtzZf9NVYBks9oIfPQeY7yR988/qcRWAbLk9FX9DQiCgN5N53KiTuuTmAJvP3VWWGfQkTmbD+DwsUuvGJ8eKd2wk76bo/zNWYwWjq45zYPzT2j3awt2h65jb8QGes3oQnxUAg8vPmXn3AOqYNacZGbPwrQ6X3aMCc5abe5ebrh5Gqj+bSUnvTaNRkO/+d3ZF7mRXcFradkvNYj9a+FhxzMn+dKajRY2TdzJhD3DyFcqN6JWRDRZIV0G2std/ff0IZOeuLblSahfmJjWZfDrVA0Pbw8G/tHLkUFNozEmakQ8fdxp8XMqHzAuMp6+FYbzW90JDK45ht/qTcBs/NcoAxnIwP8JMkp+/6Wo1qwibl5uWNJ05TXoXFt5w85dJAd6N53Tw/r5jQBGNZ3GmocO02FPHw8WXpzCqKbTiPgUBTgetEt+WYNXJoep7PNbrzHGG5FlGXcvdxJiElVaQVEh0bQe+A3XDt5SHuCiRuCrttURBIFph0axccJOnl57Sb4Suekz+0diwmJ5dS+QLLn8KF6lsDKWIAi06v8NyLBr3kGQof2wljTt3kBZJiY8lgFVR5EY4yCnvn7wjtB3ESoPP61Oy6LL09g6dQ/vn30k6HUoIYGhWM02zEYLM35YxB8D1uKXMzNDVvys8GrSwt3TjWW3Z7Fl8m6CA8Oo2KAMbQY3Uy1jSjJjs9hUpdRdcw84lfsKVyjAqC2DyVUkRzIBOB1pWHCsFxMWR81WVeg28XtMiWay5/dXrqksyyTGJuHh4+7SwmPWj39w48gdzEYLL2+/5sH5p2x4vkjpEqzVumq6jkA9pWsW4965J6oAIzYinroGL8b+4QjkxGQS9MfwGHRajaJNBQ4JhpDoBLw9XJdAG3T+iqfXXnJk9SkQBTQakVvH7tHKpyuDl/ehcdd6RIVEc+mvG6r1LGYLwW/CKFA6L/0XdidLLj+uHbyFX05fes/6kZ2z9qk9By02Lu+9Sed8/Zh5dAwFy+bHJ4s3k/76XTWu3W7n1on7TvspiALf5+yDRqtBEASmHBxJ+XoOgdKfJn/P9cO3MSVZkGx2EAQC7gSq6mMarUixKoWp0tSZQzVsbX8mt5+XfC5F8hTPRcMfHaW3yk3Ks3fxEeV+0eg0yJKk6C+5eRpo3K0edpud6NAY1biyLPPhRZBKSPX+ucdMaD0bu83uMlBLefF59+wj41vOUrYDjs7Wn6Z2IiggmLjoRKo1q/gPGg6iCX0bRs7COTAnmZ0lPExWRFFk6Y1ZrBm5lUe3X/FAdohxyIBBp+H3DvWV5aPjk1i875Ii5wGw4cRNWtQoSfPejShduwQvbr4i7EMEER8j8fL1ovWAb8iaOzWTtmzIeoJehShZwYC7gWyfuY/uUzp99jgykIF/BzICqv9SeGX2ZPnt2awf+ydh7yOo0qQCHYa3VH5vM6g553de5cPzT6oHq90m8eHFJ1U7fv5SecmSy08JqMBR1ji27gy1Wldlw7NFPL32Eo1WgyRJTGw9R7UvWXL5UaZ2CXrP/pEVv25wEIvtMtum7qHsVyUo81VJ+s5NJZzfOHqXqd8vUNrYv/7hK4au6qt6cLf65Rta/fKNy2O/fugOVpNVVRY5vv4s5iQzz24EkKtwDoas6EOOAtn4eY5Dt6aFVxcVgVmyS8RGxBEbEceoplNZcXcueYrmxJho4uTG88RFxlPx6zKU+aokAxY7dyPJsszSQes4strBUStRvSjTDo/G08fDpZipIAgUKJ0XgFyFc/DL4h4sG7werU6LJElodVqOrT2L3Wbn9on7dBjeim4Tv1fWD3z83lFCCY9Do9MyZtsQle6W2Wjm8r4bSgZKskuYkkzcPf2IOu1qANCyf1PCPkSyf8lRJEmmyU8N6L/oJ+b1XMH5HVfSlI/NzO2xlMzZfJSgAiCvf2asNnV2wS5J5PBzzsqkPe6Bf/Six/TOjGoylYC7gQqXaHG/1eQrkRs3LzcXorM6RaZCo9HQedR3KuHWXEVzoHPTqUj/4FCrH9F4Kjs+riIp3sjdUw9BEKjStDyePh4Evw512eAQFRSNzWaHZNeBCa1nszt0HXqDjmz5/Fl1fx5D644n4lM0dquN9KogokZk8LLebBi7HbtdotGPdRUyedVvKrL89hwenH+Ct68ntb+rpiiEl69XmkFLezvMo40Wqn5TgYoNy7Jn/iHsNjst+jWh7ZBvHeW33FkIT0PYdtxTqd2fsiwzqd1cJwJ/CtKK3+5ZcAhTonq5vCVy8+DcEx5efII5ycKtY/e4e+YRo5IV3tPjyJpTLP91oyNjaLHRflgrDO56lSJ+iryKu6cbg5f2Zu6u8zy+/FAJdrQakcK5UiUXwmMT0Wk1qoBKp9UQGp1AriyZCHz0jsW/rEEUBUSNyLRDo504kW8evFPztowWRdssAxn4v4mMkt9/MbLm8mPEhoHMOzOJTiPbqHRZ3DwM/HF9Bl3Gt1elyFNg8DCk++xcxjIk8xLcvdyp3Lg8FRqUoVLDcnw3pDk6gw4PH3e8fD2ZcsChBXX98B0VmTnFWzAtZFlmeqeFmJMcfnfmJDPntl92UjT/IgQhvag4kiRxcfc1gl6FcPf0QwbXHKPiXX1OLgEcwcftE/cxJZn5pcpIVo/YwpbJuxn1zTRObj7vcp0TG85xcuN57DYJm9XOi1uvWPLLGgCa927odM7zlVLLHjTv3YjtH1ax8NJUek7/AavFqpQITYlmds1N9SW02+2MbDyVyKBobFY75iQzM7osIuRt2N+dKVVpWBAEes/swuHEbRw1/sngZb3R6XSM3jIY3+xqDpM5ycK6UdsIfPRO+c4/sxfjf2yEQafF002Pm17L702q8+H+W0VJ+3Pw9PEg4G6gqgxqNlmY22MZFpMVN083VUAtCAKFyuX77HjfDf5WURVPD2OCiec3X9GzxBDm917B/F7L6V16KNGhMRg8DKp7FBykZ2266yXZJSKDUl8wnt14RWx4PDaLczAFjozowOqj2TX3IHvmH2JI7XE8vZbKp8pXIjct+zWhfsfaTnYrTbs3YF/URo4a/2TyvhG0GdiMrYHL2f5hlYpoP+XASLz9vPDwdkdn0NHutxaU+SrV/smUaPpsMOXm5cbIzYMVPSlzotnpOCKDo5M7TB0BkTnJzMU911RBXArCPkSw/NeNWIwWEmMdvLw98w8ydHU/CpTJS55iOek+tRPfDW6uWu+vSw9VGU6bXeb8w1Rv0DxZnTtJ7XaZAjn8CP8Yybwey7Eky6skxRkZ13ImFpNzNjhtSV3vrqNopUIuz0sGMvDvREZA9b8AAXffsGTgWpYOWkvg4/fK9zq9jo4jWlOyRjHcPA1otCIGDwO9Z3ZxIqP+NLkjhmQugyA43i7TW7mkoOf0H9gU8Afzzk7iz/crlYeVUxkLePv4AwOqjWJaMqfHlGhyegAKgvBZA2FXqNmyMgaPVNK33l2PKIpKl5hklzAbLTy7HqCsM2hpbwzuepekY1EUcfMwcH7nVSI+RGIxOrrgzEkWVvy60eU+PLj4VMW1sZptPLnimECrflORzOkClCt7b/Di1ivVdz5ZvClULj+iRnQiXqcNPKJDY0mMVQcsGq2G1/ffKp8N7gbqd6qtBMYarQZPHw8qN3ZW6pYkiZC3YUSFpHLpPHycA85nNwIYVHMM984+Ur77pkpx1vzUjEnNavGD6MXa7xczpvkMuhTo75KQnRZevukESmV49/Qjw+tPZMzWweQvlQetTkuuwtmZe2biFwVNdQYt8enEPpXjs9vZNfcAcVEJGBMcQUZ0aCzrx27HP08WarWqqpwnvbueQuULOPHdZEnGL0dm5XN8ZPxnzbkNHgZyFc2BKdGklLzMSWbWj93+xfPxr6JIxYL8+X4lCy9NZWvgMrpPVpew3DzdFF2v9ChUNh912lZXPtf73lmI1JU8iSxJHFp5ggmtZ7P81w3ERTkkEh5deupU3hO1IoXK52fNwwVseL6Edr+2UIJBWZZdiv0m/6j818NNzx8D2+DtYUCv1eBh0DG/X0t8vdx59/SjE/dQkmTCPqgDvl8W9yB30ZwYPA3o3fUUq1yYzqNdP8sykIF/JzJKfv8DcOPoXV7dCyRnoezU71jLJT/mc3hy9QUjm0zBnGRBEBw6RgsvTlVIvhqNhtknx3N2+2UiP0VRskYxJ/NagHJ1SzH//GSOrTuLqBVp1b+pUqJKj5d3XjOn+zIiPkVSolpRRm0ZxMeXwWgNDpPjlMlJFAUHx+JdOK/vB/Lo4jPWP1uEXw5f1VuvZJco4sLp/nPIlNWHFbdns27Mn0R8jKJc/dLsmLXPiXCtS/PwrdOuBtkL+HP39CMC7r5xcI2SLGj1WnyyelOnfQ1OrD/nRG7/nMVOrsLZ0Rl0SpkqpXsPHAFL+Hv1Q16W4fnNVxQqn593TxwTQ76SuRFFkZotK7NuzJ+QIhjqrlfpCPn4eTllE+w2iay51WKuIzYMYEeJ3Nw6dg9ZlqnVqgrGBJMqOxcXFc+IRlP4+CIISZKp1boKo7cNoe/cbkz9foFTudKcZGH5kA2sebQAi8nCqG+m8/K2Q5PMarIiy7IiaTDxuznsCV3n8nwBDF/3C9M6Om/DYrLw8s4b1jxaADikAf5adJgDy45T9ZsK1G3vPPnHhMU5lazA0fTQb0F3Tmw4p7of7Da7ErSP3jaYo2vO8OzaC+KiE/DPk5XcRXJwae8N9AYdNquNkZsHY3BPzeKWqVNSFRCIGpFM/j5U/LoMtVpX4/SWC7y+91a1L64I38YEIxaTFZ8s3i65SVaLldsnHmBKNFOuXiknWxc3DwOFyuXn6oFbbJ22B8ku8d2Q5lT8uiyx4XGM3z2M8S1nqozBDR56es3sohond9FcThxLV/GOzWJn76KjmJPMaPVarh68xeitQ1j082qncqtkl52yhrIss+7YTdYdv4ldksidxYeQ6HjMVjuiIGDQaahfXm1XVKFwbs7O7UdsgolMXm7JFkiQo4C/SloDQLLZyZIzs+o7Hz9vuk7swOyufyBLEp9ehfApIPizavQZyMC/CxkB1X8Y68ZsY/8fx7AYLejd9ZzfeYXJ+0Y4PWyfXnvB2ycfyVs8F2XrpKb5N03cqaToZdkRAPw54y8m7B6uLKPRamjctd7f7kvxqkUoXtXZiy0tokKi+f3ryUrn0f1zjxlccyyRwVFYjMnBhSiQr2Qe3j/7qGSt7DYJY4KJB+eeMOPYWEY0nkJSbBKSXeKXxT2++LALex/O7ZMP0bvpqN2mKu5e7mTL58/orUOUZYJeh3Bl301FFTtX4RyUrq0mmherXJhilR0E+GuHbrNvyRGMCWa+alsdg7ueio3KIo5LDWZ1Bq1LLzZwKMFf3H2N0HfhCAhodBqGrnaQ4kVRxMvXU2VVI8sSYR8i6FV6KDFhsUh2meJVCzPz+Diy5fNn0aWpLP91A9FhsdRoUZkeUzths9o4tfkCYR8iaPVLEw6vPIWodWSzGnap43StBFGgULn87JyzH5vVzqv7b9kx+wDLbs1StJGW9F/Du6ep1+X64TscXHacNoOaM2nv76z6fTNvH39QjZtSztsxax8vbgUo1zk94iLjsZgsn+2CrNGiMstuz2ZA1ZFq0r4gKPe7McFI/8ojiPgUhc1i49yOK3x4EUSXse1IiElk9k9LeXz5GZmy+jiV7rR6LSM2DqBBp68Ifx/Bm4fvlOMUNaLyIqHRaGjaowGHV57k48ug5JKjgW96NKBOuxp4+Hjwx8C1zOyyGL+cmRm9dQilaxVn/O5hzOu5nIToRErUKKqybhIEuHf2sUqfqXG3+mmuv8zyXzdwaOVJpZw58/g4VUbJlGRmSK2xBL8JBcERpM8/P1mlAwVw68R9ZnRZpJzDhX1WIeNQdNdoNcw6Po6keCO3jt9HoxVp0PkrpzFCAsOSOWN/D8W/0mIjLjKexf1XO3VCihqRzNl86JizD9kL+DNu528ULJOPE7dfsP7ETczJci4h0QkUz5sNURDImsmTwW2+Imu6TKTdZmfzpF1c+us63n5e9FvQnZLVi5KnWC66jG3Ltul70ek12Cx2fl3dF3cvdXY1ODCUud2XKi870SExjGwylR2fVv9LL6sZyMC/ioyA6j+I+OgE9iw4rDz0TYlm7p15xItbr1Tmrpsm7WL3PAenRhCgZb8m/JxM8nb1lm5M+L/XIpxS1kqB3WonODBU1fEkAOXrleLjiyDsUtqHtgwCFCidl+0fVhIdEoO3n5cqE5AWsiyzftyf7Jx9AAC9QcfGCTtYcWeOSmUbYMTGARysVoQnV16Qt0Quvv+99Rc1dm4dv8ez6wGYEs0EPnzHzaN3mXN6AhP3DGdR39UkxCZSsWHZzxoUu3u6sfz2bO6deYzFZKFc3VKqlvnRWwczuf18wFE6lOwSe+YfUmVNnt98xe55B+kyth2FyuVn3tlJym/3zz9mYps5GOMdZSS9u55v+zSkRLWiZMvvrwg9psBisjCi8VSeXX+p2obVbGXNyK1M3OMIsF/cfq0qzZqTLDy8+Iwzf17m9f23SHYJUSsqxsAGdz21v6sGOLqlPhdMgUNL6vWDd4S9C6dQ+fzkLZ5b+S1FsT9fidx0HNGaXXMOYkoyI4gOCYJ6yRm5qwduExMWq+yjOcnMtml7+GFMWya2mcPT6y+xWWwkRCeiM+jQu+mSxVHttOrflAadvgKg2reVHF2iaRCcRiD1zskHBL8JVTI0pkQzR9ecpv/C7vQpO4zgN6FIdonQt+GM/mYaG14soXrzSuwOWUtCTCLPb77iU0AwPlm80Gg01G1fk4SYRP6csRfJLtF6wDe0HpDaVHH2z8scX39W6Y598/A9C/qsVHUhHlx+XAnwUjC/9wpW3FY3gRxedTKdl59jzJSs1LTOC9kWuMKlajvAyc3nWfLLGuUa/yuQ7JKTqTk4/lbD3oUjy/D+2SeG1Z/IljfLuPjoDaa095vVRlR8EgenpDZ6nL77ks2n7iAI0LNpNR6tPc/xDWeVYxzRaDLLb88mb/Hc/DCmHXXa1eDDy2DO77zMqmGb2TJ5N78s6qG4Fry+/9aptJ8Ym0RMWKxL4/gMZODfhYyA6j+IxNgkNFoRW5qXdY1Wo7JXiAqJZufs/aoOqAPLjtOsd0OC34RRsKxDXTyl7GLwMNCs19f/lv0LDgzl2bWX+GT1oVKjsoiiiIePuzMXIt1HSZKxWmzUaVeda4duO0prOg3evl5U/LqM4zg1GlWrsyvsWXCInbMPKNwVs9FCxKco9iw4RI+pnVXLajQavhvUnO8GNXc1lApxUfEcW3c2ddI2Wgi484bnN15R9ZuKbHu3gsTYRALuBvLxZRBFKxVyWZ7R6XVOHnkpqPpNRdY8nM+w+hMJT4pUecalwGK0qHhQKXhx6xVjms1QXXOL0cLB5SfpM6erE6kZYPf8Q7y49cpJZV6WZFW7fZ5iOQl7H6Esp3fT8/75R4JehSrnQ6vX4uatB0Ggbvua9J3nCN4LVyjA3dOPFA6cIAggOHSLRI1I2TolGdFoMqIoYrfZGbLyZxr9WJdVv29m/5KjCIJI4QoFmH50DL7ZM3Nh1zVErUitVlWUY3XVem+3SVjMVh5ffqbKSmm0Il0ndiBv8dxky5dVZdFy+8R9lU6UZJe4euAWrHV8NiWaXQrIhn+KUp0fcGT+Xtx8Ra3WVXn//BO/fjUOu82OJMkUrViQ2afGo9PraN67Ec17u/a4fHz5map8bLPYVBw/gNC34U5SB5FpOm9T4Or6q47hfSSSJH02G7N25FZVQCaIAqIouLxH08OcZCFnoeyEvlVzHtPzyxzuDe/JlskLrUbEluZ8+nmnquufuRfAhE0nlKBr9LqjeJ1+gZxm/6xmG1cP3KbjCEeAnrd4bnbNPciVfbewGC3EhMUytcN8FlycQrHKhfHPm9XpWGQZvNK9hIFDMNiYYMIvR+aM7FUG/n8jI6D6D8I/bxYyZ8tE+IdI1QO8WOXUjpSYsDh0eq1qctXqtUzpMJ/Qt+HIyEh2iax5smBw19N59HcuOSdfwqdXwUxuN48Pz4PImsePcTt/IzEmkQlt5jiI37JMqZrFmH50DBUalKFg2Xy8fvBWeSgLoqB6oBrc9Xzd+Su8/bzQGnQEBYRQoEweekzr7JSe/xL2LT7qTNa22on46DzJ/CswJznbkiA4sjemRBPuXm6MazkLu01CstspV680Uw6McHK3f3nnNR9fBJGvZB4nYUqAnIWyk+SCR5MCg7ueopWc1zu27qyTOSw4uFltfLsjSxKNutZjyPI+ypv4+V1XXDYFGDwM1GyVKq8wdFVfBtcaizHBhCTJFCiVh7APEap1bRYbTbvX59eVfVVj/TCmLffPPSHgzhtHUCU4dJMqNy5Pm8HNGNNshorUnKLMf2TVqeQJTuL1g7cs7LOCSXtH8CkgmEMrT/L8RgBrRm5l6Op+VGlaXjWx6d10VGlaAZ1ei6jVIKXZT0EQyFkwOzVbVnE6bk8fD7Q6req40gqMlqtXShUk6/Railcvgl/2zMjpBDslScbbzzEZz+m+lIToRCXoe3n7NUdWn6bNQLU+WXrkSqcLJwiQPb+ab1SuXmlObjqvBF46vVbVxZeCDsNbcf3wnc/6W2bN4/fF4CA9h02WZCQcZbv0AXl66AxaHl9+/sVlwCGW6pXZk5/KV+XYrefEGx2BskYUGdkxVVNux7l7qgyWyWpDKO6Px4vUbKKoEVR8SHB4Zaa1I7KYrVw/fIdilQtTvEphGnerx+ktF5Tg/tdVPyvm6pIkkRCdyK55B/hrwWFEjUi2/P7MPT3hb1/yMpCBLyEjoPoPQqPRMP/cZKZ+P5/AR+/xzORB2bqlOL/zKs37NHR0PBXJ4ZS+tllsDj2dNA+U+Mh4fEvmIeJjJHa73Wny/xxsVhvDGkwiKig62TcujBGNJqMzaFUP7CdXX3D5rxvU+74W885N4ujaMyz/dQOSTXIKeixmK4v7ryb8QyRavaMc03FkazL7uzbXlWWZiLhE3HRalUCkIDqnEDQ6jcuskCzL7Jp3kBMbzmFw19NzemeqfuM6e5Qlly85C2bjY0CwUoKxGK1sGPsnGq0GY4LRkQlJPqyHF55watMFxecNYMuU3eyccwBRIyDZJbqMa++yK7JY5cI8vPBUKcsIgoDOoEUQBUrVLE77YS2d1tHoREf2JD1JWEaZRM7+eQnfHJnpMaUTkcHRfEjnl5eCWq2r0CHNNrLl82fDiyW8vPUanUFL8WpFGFpnPNEhMQopWe+mI2caPzpJkoj4GImbpxsLLkzmh3z9iQyKQpZkbGYbt47fI1/J3C5tfe6ffewyM/P6wVsOrVSXrhb0XsG+qI3MOzeJxf3XEB0aQ5Um5fllcU9EUaTnjM5smrDLwZNz15OzUHaqt6js8ri/6fU1excfITbCIXVg8NDTf2EP5fcsOX2Zf34y83uvIPJTFGW+Kslva/rh5mHgxwkd2DFrH1azFZ1BR6kaRflzxl4eXXyKxWxVZdDMRgsfXwa73Ie0aD3gG0UXTkjWUBq2tj8AsRFxhASGUa5eSb4b0pxdcxwl7uLVivDbmn5OYxWvUpiFF6ewd/ERbBY7drudG4fvoNU77qtJe393WictKjQow9WDt1T3lyzJlKxZlJyFs3Fm6+XPrivZpb/NZOkMWmq1qkr+UnkQBIE9E7px5v4rrFY7tcsUUJlsuwr8chfJSZJHAOYkM6JGxN3LnQada6uWMXjoVVIdWp1Gab6w2+10GNaSas0qYk4yU6h8AfKVcGS37p55xOS2czEbLamdnVY7Qa9CmP7DIhZemPrFY8tABr6EjIDqP4zs+f1ZemMW83ot58Kuq1zcfY0bh+9w6a/rzD41HjcPA7NPjWd8q9lEBUeTyd+HGi0qcXzDOdU4ZqOFgLtveP/8EzHhcU5ilIlxSbx78oFM/j7kLpJT+T70XTiJMYmqSUIQBKeWdLvVTvCbUOIi4/H286Jx13qflRSQJVmZZFKCvhk/LOZAzCan4DAmwUj/xX8RGBKFJMu0rlWaMZ0bIggCHUe2YdXwzao30Vb9m1Dv+1qkx845B9g6dY8SBE5uN4/Zpya4VEBPsSWZ030pAXcDcfdyIyok5rMdfaZEM59epU6aYe/D2TFrn6o8s3XKbpr8VN+pK2v01sGMaDyFTwEhSJJE2yHf0ujHOugMOvIUy+WylNiyX1NObjyv2h83T4PqsznJwvWDt+kxpRPRITEY3A0uuS2BD987TVrunm6qTs9ha/vza53xDtsZSSZPsZy0Gejg/0SFRDP868mEvQvHbpf4pufXKrkFcNwbsiw7SQ94+LiTt0Qupwymh487oe/Cne4FQRB4fOUFt47fo3z90jTt0YD8JVP1uzr81ooCpfPx8PwTsuT2o1mvr5WsQ3r4+Hmz+sF8jq07S2JsIjVaVFaZ5xoTjDy+9JyaLatQqWFZVSaoy9h2lKxRjJe3X5MtX1aOrTvDw4uPXWYA3TwN5C+Zm1ldl/Du6UeKVytM37ndkOwSF/dcx2KyUq1ZRXIWys7iK9N4ePEZ5iQzpWsVxyeLNxd2X2Vu92VodBpsVjtDV/3M4cRtWC22LxpwF61UiJGbUgU3gwNDiQ2PI1/JPHh4u2Oz2jiw7DhvH72nWJXCNP+5ERqNhsBH77hx9I5zsI5Dh6rhj3U5v/OayglBdY1EEVHDFzNZPab9QIt+jdk+cx8fXgZRplZxWvVu6DJ4yhuWxC2bHZLvBYNOw+h+3xJXvSyX914nk78PnUa2weBhIODuG/xy+pIlpy8/z+3Ggj4rUukEft40+ak+0WGxDG8wkdB3jrJtnXbVqdvBkbGPjYhjYpvZLv/OJbvE6/vvnL7PQAb+FWQEVP8DEB0aw9ltl5SWYLPRwvObAQTceUPxqkUoWqkQOz6uwmqxotPruHPqAed2XHWZ8jcnmTm27qwqoHp55zUjGk9xZBSsdr7p2YCBS3ohCALevl4qVWEAm9VO3pK5+fA8SHlw2iWJDeN3sGnSLgqXL8DM42Pxz5vFUXb8nL5MGkiSRFxkPL7ZM6u+n7zlFG+CI7Emb+fIjWeUK5iTljVL06p/U7wye3Bq80U8vN3oMr49hT7TDXhk9Sm1ga3RwqnN510GVAC+2TMz89g4ADaM38Gf0//67L67eRooUjG1DBsRFI3OoG451+q1RAVHOwVUvtkzs/rBfGLC43Dz0CtSC+lLnx8Dgjm16Tyy7OjgW3R5Gttn7cOcaKZZr4ZcP3LHSQogpWyZu6hrQ2nASaPHFfKXysuml3/w+PJzDB56ytYtidVkRe+mZ/ZPSwl6FaIESyc2nnO63hqdhnJ1S1GkQkFmd/sDSZLwyuzJzOPjCLjzxml7cZEJFCqX3ykA0+q1TGg9y5G1EuDQihMMXd2XDWN3EPYhgpyFsjNp7++KBICUfE8eWX0KjVZDl3HtaNU/1VvOJ4s3HUe0dtq+MdFE/8ojCf8YidVkYfuMvTTt0YCf53bDzdPAyY3nCXz0joJl81O/Yy3m/PSHU1ZGEB2difU71WbPgkOEvY/AZrXz7ulHAu68ITIomoSYJGRJYu3obcw7M5HiVYtQqWHZ1PMQFc/c7sscLx3JsfDCvqup3Li809+J1WJl44Sd3D5+n6x5stB/YXfyFE19McpZMLtiOC1JEmOaTefptZeYjRbO7bzKvbOPmbB7mEOB3eocDGn1WrLn82fF0I2fDaaANDw7R5ddeoiiQIlqhRlWfyLvnnzAYrJyac91nt8IYNi6X1TL3jhyh+tLTuKTyYCxTE5EAcpo3ahYJDcUyU295EDo6bUXjG423XEezDa6TuxA51HfkSWXL9cO3cbb14uW/Zrgk8Wb8a1m8Skg9X69sv8Wx9edpXmfRrx/9smlDl0K/NPJkGQgA/8qMgKq/wEwJZoRtRpI8wYsajTcO/uIhT+vwpRkpmn3+nQc2QaAyo3L03VCezaM3+GYYGXUGjnpSmWT280jMQ3R/eTG89RsWZUqTcrjk8Wb9r+1YP8fx7BabOj0Wmq0qMzPc7sy+pvpfHwZhCw7sjo2i83xJvfgLQv6rGTm8XGMajqViI9RinDf58QP3T3dyOTvo3y22+2sGr6ZS1FhSGlU2k0WGw/eBNOypiOD8nXnOnzduc7fnkOdi0zFkTWnyZLLj64TOnxx3RT/tpRzKIgCWr0WjcbBv2j8U33qtq+hLJ+vRG6nln2A3GkmuLQQBAHfbJnYMXs/GyfsAFmmYNn8zDg2Ft9smXj75AODa45xtKLLsG/JUeafn8y47UOVMYpVKcSV/TeJj0pQzvH755/YNGkXP036npnHxjKq6TSVUrZGK1KkYoEvHnsKfLJ4U6t1Vc7vvMJ3fj2wW+1kze1HQmySKvBJrz0E0KhbPaWjrFbrqiTEJCo6S3dPPXQQntOcr6R4IzkKZGPExoHM6vYHsiRj8NCTr0TuVKJ2sgTInO7LlAn+U0Aww7+exLa3yzG4G9g97yB/LTysBNKrf99Cpqw+ykT8OZzbfoWIT5FK5tNmtXNk9WluHrtH4QoFuHfGIX9g8DBw89g9DB4Gla4TAILjnkuMSSQ6LE55KbGarUqjQWoQZmXJgLUsuzlLNUTYuwg0Oo0STIGDNxX8JpTHl59z48gdsuTyo91vLVg2eL1DFsRoIfDxe55efcH6Z4ucAi9wmHM/uxGgZIfNSWZuHLlD2Ptw4j+jaJ+3RG6e3wpwmYVzBW8/L6JDY102pJzYeF7VrWhOMnN660X6zv9J5Xn59LqjrKdLMqMLjnOcEx8P1XiyLDOu5SzV+d827S+qNClP+XqlVdZIgLMaf5KZZzcDaN6nEVlz+7nkJuoNOkStyMgtri12MpCBf4qMtob/AciWPyv+ebMob08pXTdbJu/m9YO3fAoIZtv0vWyfuU9Zp+OINhxJ3MbGl0vw8vVUgig3DwPtfmuhLCfLspN1hN0m8eF5Kuem14wuTPzrd3pO68yITYMY8+ev+OfJytrHC9kbuZGmPeo7kZafXX9JnqI52fpmOX9FrGf7x5VkyeXnZGmj1Wvx9vNixtExqpT/jpn7OLrmDGKcCdIS2nUa8mf/fGuzMdHE/XOPeXzluerB2X1KqtJ76sE7DIevHbr92fHeP//Ezjn7VQGp3k3H+qeLWP1gPn++X8ngpb2JDnVo2bTN2oPfG05mwOIeeGb2ULoXpx8Z80V7m1sn7rNt6h7sVjt2m6MDamaXxQBsmbzLobItOYJSU6KZDeN2qNbPmjsLQ1f1VUlBWIwWts/ci9loplTN4uyP2USbwc3QaEX07npyFcnB6G1D+Kf48OIT83o6rD3sNjth78M/S3xOgbu3Ow07f6V81mg1ZMrqo5QyS9UqrlK31mg1lKjm0M+q0aIyxasURpMs0+Cq5JI+W2IxWQl6FYIx0cSpzRfUWckkM+e2X/rb40xMFySmICo4mlvH7itjmpPM3Dx6ly7j2qmU+QFku4w5ycy1Q7ddktjTZ7RiI+Kctpctf1an47NabFw/cpfZPy3lxMbz7Jp7gL4VhnN+51UlQHJkmm3cPHbP5fG5aroQNSKmJAst+jVxWl6j09BtYgen7kG9uw53b9dlR1fBVApObbmAkC5lKmhEJ4eE7PmyOj0vsuRS/+0nxSU5lbJFjcC7px9dbjt30RyqF0q9u14RKM5ZKDvfj2iDwUOPh7c7Gp3GwfsTBWQZDi4/8Y+y7RnIwOeQEVD9D4CDnD6JCl+XIXM2H0pUK0rV5hVVJSVzkpnj686q19NqyFUoByvuzKFxt3pU/aYC/Rb+pDLVFQSB7Pn9060nkj+dCnqVJuX5/vfW1GlbXcXr8fB2V1SVU8d0kJtT4OnjgV92X9Y+XoBbOk9AURSYfmS0kwjlpb03MCeZ8Tr/CsFsQzDb0EgyxfL407Gea/2c8I+R9CgxhInfzWFMs+kMSsnqAHXb12Ty/hFO1hSmRDNPrjzHmGBk6vfzaZ25G53z9XWQcoG7px86SURbzVay5/cnZ6HsZPbPhCRJ/N5wMg/OPyE+KoHX9wNZOWwTmwKWsjt0HX9FrHfShUqBzWrj6JrTbJv2l0oM0W6z8/yGIxuTGJvkpFL96l6gk9J2CqE9/flN4YSIosiART35K3w9m14uYe3jhWTN5ShjWEwWzu+8wtE1pwl6HeJyX1/efoOYhlguyw7rEVe2NMpxWG1ky+/PrRP3WTJwLZsn7VIFD6VrFaf/wu7o3HSIokCh8vmZsHsYADvnHuDlndeYkywYE0zYrDbn7st0sFms7Fl4mO98u/M+HRFfEAWlG+9LqNy4nMvSj0tpC7OVEtWKMuf0RFr0bezk0agz6MiS01e5Lnp3vTMvToAqTSs4je3j583vGwdgcNfj4eOOwV3Pryt/Zm+arJvNancIxLqY6DVaDaHvwnl1P1AVrBRO5zogCA4D89xFclDtm4r8MLad8tKm1Wn4fcMACpcvoDIPd5wPO2P+/NVpu8BngykAySYhpVOVL1A6r1M2rUn3+hStVBB3Lzc8fNxx93Zn5Ca17puHjwfunuqgS7JL5C2RG1cYvv4XMmXLhIePO26eBkpUK0KrX1LLwD9N+p6FF6cyZEUfRSrCYrRgTjJzYdfVv7VPykAGvoSMkt//EPjl8GXW8XHK59UjNjuRedNPpinInt+f4esHfHbsyftG8HvDydisNqxmG61++UbF5fg7tBn4DRd2XuHjy+DUDqV1/Z2W0xl0xEWpyeyiRuTdk4+UrF5M9X0mfx8EATSxJjLvuIuU04eqDcsxY1hHtJ+ZVBf3X010SIzCI3r35AM75+znp0kdAYcekpuHgYQ02TSDux7/vFmZ89Mybhy9i9VsJSnOyIwfFrHw4lQ8fTycJnGDu0E1KUYFRxPyNlzJasiyY7J5eesV5ZPPY3RYLPN6Luf1/bfkLpqD4et/IVu+rIxqOo3nN1+5zPT4JnvFNepal8dXnqs63uKj4hn77Uzmn5+s7EvJGkVV62u0IrmL5sTNy40/Bq3l2oHbePl6MvCPXpSrW0pZzpRkZlCN0YS8DUeWZARg+tExqmUAsub2cyrZanRafhzXng3jtjvZfujd9fSa8QO3jt9jxdCNjsyIVmT/0mPMPDZWCaK/7dOY5r0bYbXYFBK5LMs8v65WXZfsEpmzZULvpsNuk4iNiHMqQRUuX4ALu645ZZhSfCq/G/wtVw/cQpZlKjQo7dIPsFC5/IzfNYxpnRZiSlMiNXjolWubAlmSObzqFGO2DaFgmbyc23FFJX2gN+hYcHEKO2cf4O2T9/jmyMzVA7cwxqeOK4oibQalinymRb0OtShfvzQhgWFkL5CNzP4+zO+1QrWMLMmUrVOK57cc95FGq8Hd2527Zx6x8OeVaHRa3Dz0LLgwhTzFcnFux2VViUyWoUjFAkoQ2WNqJ74b3IyQwDByFMymdN92m/w9mybsUAIru1Vi1o9LcPd2Ux3PP4ElnTRD6VrFnAJNrU7LvHOTeHD+KYmxSZSuVcxJeFMQBCbvH8m4lrMQRAGb2UqH4a0pXqWwy+3mLJidTS+XEHA30CFLUrmQExm+aKVCZM/v7xSjiqJIhAsj6Axk4J8iI6D6H4qW/ZpyZNVpjMmlIIO7nh7TOv/9ii5QqFx+/ny/go8vg8mU1ftf1loxuBtYcm0GDy84DIHL1C6hUgVPgU6vxcPHXcXXAsiWLkMG0HduN379ahxWiw1BEHCLszBs/OeDKXBwaNKSsi0mK++eOFL/t07cZ3K7uaqgxOChJ3/pvDTr3ZDVI7ao+BM2i507px7SZlAzts/cS+i7CCwmCwYPPT8nC1mmjmPAblVP7El2iannbhF08AI6rUi2R6GYr7zGbrMTHRLNkNrj+H3DAF7efu0UTLl5GQBBUWFv9GM9nlx7yeGVJ5U3f7tN4vnNAGLC4xR7E78cvsw5NYHZ3f4gMiiaopULMebPISzuv5oLu65hMVoI/xjJmOYzWHZzJvlLObKQx9edJeh1iCp4md97BZte/qHar3L1SlG7TTWu7L+JIApINones3/k0IqTWNMdv95Nx+oH88hdJCft/Hso512yScRHJTDkq3F0Hv2dEuwKgkBUcDQBd97gmcmDLVN28/SaOhug1Wso36A047YPJTo0hi751UG7zk2Hb87MPL+pNpl293aj44g2VG9ekfGtZhEfnQAIuHkaWH5rlsv7vXrzSuwJXcusrn9w7eAtBFGgXN1SvHv2ibB0Rt2v7wdiNpqJi0xg1olxzPhhMSGBYeQsnJ2Je4bjl8OX/gu7Aw4tsyv7bqrW12hFvH1dmxYDZPbPpJIUqf1dNa4fuq0EbqJWw2/r+nHr2D1uHruHf56sFK9WmOVDNjiWMVkxJZiY+v0CVt2fx54Fh522cfXArS9u89OrYAQcXEerOfWlKDE26W+zhq6Q9u9Usktc2HWNAYt7OcaMS+LRxWdodBrK1yvl8uUu7H04B1ecxJRgpH7H2mx7u5wPL4LIktPXKeOeHu5e7srLQvjHSO6efoibh4EilQqyYuhGPrwIokilgmTK6k1kUGrHqt1ud6knl4EM/FNkBFT/Q5GzUHZW3J3D3sVHMCaYaNilrtODJ+h1CHdPP8Ldy43a31VTCRemh8HdoFKSBkeWQLJLX+x8SYFW93lfuw8vPrF21DaiQ2P46rvqnN95Ba1Og80qUaNFZbLnz+qkjVWoXH5WPZjHlX03ETUi9TvW+ltbiOJVixD6NlzJlBg89JSu5ch8bRi7Xe0PB5StW4qpB0by5OoLJ/6GVq/BM5MHL2+/xmqxIcsyuQrnoO/8btRKI4QJ4O3rRemvSvDw/FPlu7jGxYmKTQBBwGy186FYFrwDQtAHxSFJDn7N63uBTlpaWp2Gn+d0o/q3lciWN1XYsUiFgoiiWlhRliHw4TsWLj2GOclM8z6NqdehJuufLVaNeWnPdVVGwGa1cePIXSWgigyOdrKMiYuMdzq/giAwcvMgHl58SuSnKPKVysPYb2cSExqTWuJJzsoMW9dfkd9Ir+4NDu7T7nkHqdO2BoXK5efaodtM77wQjVaDKcns4IulUz3Xu+nJlNWH6LBYfLNnpmnPrzm95QKmRAdBvHz9UpSqUYw7Jx6kyRIJFCyTjy5j27Gw70oig6MVXpI5yczKYZsYt+M3bhy9y46Z+7Db7bT7tQX1vq+Fwd3AxD3DMZssDKk1lgcXnjplVjRaDR4+7rTz7wk4SmRTD45S+WmmRdFKBSlZoxhPr73AnGTBzdNA3fY1le5PWZYxJjjEY9NnbGRZ5uLua+QplpMyX5XkU0Awmfx9GLysN7kK5aD1gGa0HuAQEN027S+VDp0sy3wKcEh7uJBvQ5IkVg3fzIvbryhULj89pnXGM5kAHnD3Db/Vm4DNYnPq+IUvSyQoSKObptFqHGKhabhlKf6OYe/DGVh9NGajBVmWyZLTj6U3ZqgyiWHvw+lb4XeS4o1Idonj688xdsdQlwKuX0LA3TcMazAJWZKQAZvZiiw7jifsfQQ5CmYja26BmPA4RFHg9/UDyFMs17+0jQxkIC0yAqr/wchVOAcDl/Ry+dvjy88Y3Wy6o4Qjimyduoflt2f9YyXyI2tOsfzXjVjNVkrVLM6U/SNcZp3+DuEfIxlYfbTiOffm4XsadP6KWq2qcnTNaa7sv8m1Q3fImtuP+ecnq2QFchbMTvvfnIUtP4eBf/Ti/fNPvHv6EVmSqPpNRdokW82Yjc4lNR8/LzRaDVPaz3PifHhl9qRM7eIMrjVW4SCFfYhgz/xDTgFVyr6mDahs2bwcNZ8UCJDQqBi+W+8gSI5AtUhltWVNSomuRd/GmBJN7F10hMjgKPKVyM3K3zapJi6NTiRnoWyMbjZd+f7J1ZeYjWaapDHdBUepNa22TgopPQUVGpRm35IjSsCp02udyn3KYQiC0jn19NoLTIkmVUejTqdl1NbB1Gmb2vVYqkM1btwKgPAEdGGp2Q2tVkPwm1AKls3HzC6LnQLetJAlmaQ4I4dWnODY2jN0n9qRQUt7UaF+aV7dCyR3sVw07laX+OhETm+9SNi7CKX8/FuyQGbw61AVyVuySwS/CePOqQdM7TBfCUDm9lwGgqB0A9458YCgVyFOwZS7tzuemTx48/CdEpCagXEtZ7IreI1LD0pRFJlxdAxH15zh/bMPFKtShMbdHMbkbx6+Y0zz6cSExWJwNzBu129UTcOtmttzGZf2XMeUZMbNw0Cd9jUYscG1l6QkSSpelSCgiLF+/3tr5nRfplrew9uDg8uPYzFZeX4jgEcXn7Hs1iy0Oi3TOy38rAZb6nEJLjtbU1CgdF6C34Shd9PRflhLds87SFKcIyBCcEhELBuynuA3ocRGxCv3dKg5jC1T99Bv3k/KWAeWHVeCKXBIoKwdufVfDqgW9VuF0YU2Gzgaa8I/RLD6wXy8/bzw8HH/x2LIGcjA55BBSv8vxcK+qzAlmjEbLZgSTYS9D+fwylP/aN3Hl5+xYuhGLEYLsiTz4mYA0zsv+uI6kcHRHF1zmmPrzqhIx1f238SWnOGBlE6ryyREJ3Lv7GOsZhvmJDMhgaHM+Wnp//HxgiMIWnpjJhueLWJr4HIm7hmuZNe+6fU1bmnIqwYPPU1+qo/VYiM+Wt0qrtVp6Ty6LS9uqzWSbBYbT648x2a1Ef4xkoPLT3B41SliwmMpUCavqotQSN9eLgjIOi227N7o3fUUq1KYbHmzULd9DTL5++Du7U7ZuqWYc3oCFpOFX6qOYt2Ybeyae5CFfVc7mVzbrZJKByzl3K4cutGpfPPd4GZKZ5MgCnhm8uTrH1I77yo3Lk+Xce3R6BzyEMWrFmHExlTOXXBgKAOqjqSl94/0KfsbgY/fJ59Dg1N2QhAFFX9l5eFrXPISSKpdiLgWpUmqktrsYLPayV86L6Yks5PdSXqkTNayJGM1W9kwdgfLf91Ave9r0WtmF77p0YAz2y7xQ75+hLwJAwF+HNeeTS//UMQ/K3xdBkOapgi9u57y9Uuz/49jqu2bkyzsXZRaFnMliCqIAt/+3CjZBkqd8knJcKTF1YO3+Ln8MLoXH8xfCw/Tsn8TBv7RmyY/1UcQBGxWGyMaTyEyKBq7zWEwPKX9PCKCHDZKwW9CubDzqiOwSZaMuLDrmkpQNgVBr0PYOXu/igMkajWM2+mQ2WjcrT69Zv6A3k2PRitSrn4pTCYr0ZVyE9ekOPEF/Ah+E8rr+2+5uOcan165blJwdX1cQaMV+XVlXw7EbKL/gu7Iksygpb2p275GsnUVGONNHFt3hqfX0pl3W2x8Sqc0nxRvcrrvTC5emGLCY3lx+7XLDkqAqOCYvz0mnUGHt69XRjCVgX8LMjJU/6WIDVc/RCwmK5HBrj3ugt+EcnD5cUxJFhp2qcPDi89UHT02q50nVz7vz/UxIJhB1UdjtVgBgbWjt7Hizhyy5c3qUulbEARepOMO2W0O/arP4fGV5wQ+fEeuIjmo1Kicy3HBkQFI22GYgvZDWyLZJI6sPo1Wr+WnyR0VbaQsOX2JSGMyq9FpKF61MOEfIp22o9Fp+BQQzOBaY7El87s2jN/O0uszuXH4Ls9vBiBqRHRPwwippO400uk0VPu2EjVKF6BsnRIMrDZa0ZYyeOjpO7cbfjl8Ob31IhEfo5SylasW/s8hPjqRGV0W0WlkG34c34Ho0Bj2LjqqTK6iKFKhfml8/LyRJAd35c2jdxxeeRKN1tEm/ubROyI+ReGZydNhPVRvIhHJVjJvn3xgWP2JbHmzjELl8lPmq5I8uvSU+KyekMOHIsVykzWPo1QZGh3PxhO3sNjsjphDp8FYPjc+76IR4swM+KOnIj7pnycLYe/DVUGAm6cBQRQc2lnp5mub1cahFSfpv6A7Gq2GjwHBLOm/RqWDtWP2ftoO/Tb12mk1yn0tCAKVGpal+9ROzHDxspDCC0qISXTqGNPqtXh4u3NoxUmXzQSmRDMhb8PJW9yx3oPzT5jReZEStG2dugcEgY6/p4qKRnyKwpwuCyRqRAIfviNrLj8SYhLR6rSq8qkgwOhm00mMSaJ07eIMX/8LPn7e3D39yGmfJLtEnmKpOmidRn5Hp5EOK6TA5x9pP2c7st4RNFgL+CG9cWjHHd9w1mmsfxV2u8SoJlPJUywXHwOCsBgt6Nz0FKlYIN0LgQUZVJ6GBg895eqps6UNOtXm1Kbzyvk0eBho1LWeapkzf15ifu8VCIKAZLPTb1EPWqcRdQWHxc6F3dcU7qQgCmg0IjarHYOHnsqNy+OfJ8O7LwP/PmRkqP5LUaFhWVXXn8HDQKVGznIDQa9D6Ffxd/5adITDK08yqulUYsJinYQwv9Ruvnr4ZhLjkjAnOdqLE6ITHQKVQJ121dG765UMicHDQOuBzchfMrcqWyCIArnS+MOlxbbpfzGq6TRWDd/MpLZzWdx/9T8/ESnjCwIdR7Rh86ulrH+6iK++q0Z0aAx2u51ph0eTKas3bl5u6Axauk7sQIlqRanRsjK5i+Z0ZJ4Ex8O996wfWTV8M8Z4ExaTFbPRQkJ0In/O2MvsU+NZeHEqM46O5a+z0yhbIAdajeO4NaJA9iw+TFnal7ZDvmXb9L1O2lIp5yw6NAbJ/s+DqPQwJ1nYOvUvPrz8xJqR2zAnG8+CIzi7uOc6ZpOZQdVHM7f7UnbM3EdCdCIWowWL0Yox3siyIRsACHodSnxMoorPJNntvHnwDkEQmHZoFPmHNsHYrCQJFXPz0FfH6HVHkGWZyLgkdOn5d1oRTacqbPu4kmY9Gypfzzg2liy5/NAZdOgMWgYu7cX4XcOYtHcEDbvUQat3nSGwJ0/IgY/eO0Qw08CUaFJeLK7sv8mWKXuUCVxr0JAlly96g44Ow1upsosOE/G2LOy7kg7ZezG07niy5PYjb4lc+GTxosxXJTAlmr6owTXjh0W8efjWIYkxfY8qA2ZKdEicSJJEcGAoEUFR+GTxxmZL19gQb1QCu3wlcyPL6qyMOclC8GuH3dOt4/cZ39IhDOrh4+7EzdMZdJ81RD4e8N4RTAmC8s9YyI+C5fJjNf0zIc8vQnZ0kr56EIgp0axwCJ9ee+lEaM+SIzP5S+VFFEVEjUit1lVp++u3qmXK1S3F6G1DyJrHz9GIkCMTZWqnOh5Eh8awoPcKrCYrFqMFm9XO0gFruXnsrmqcwct7U6FBaUSNiFanofPo7/hhbDvqdqhJ9ymdFPmODGTg34WMDNV/KX5b3Y+kOCN3Tj5Ap9fSY1onl6bB+5YcxZhgSlOSs3D/7GPylczNxxdBSip/+PpfnNZNQWRwdLoJVyIquTvGL4cvy2/PZuP4HUSHxlKrdVVaD/gGu83O5X03eXrthSOjY9AxYpMzHyQuMp5t0/aoMmant16kzaDmiiAfOPhNd089xOBhoGarKl8k4N86cZ8pHeZjt9kxuOmZemgUf35YRejbMDL5++Dj5+CK6fQ6Fl+ZxokN54gMjqZc3VJUalSOU5vPqwT+JLtEZFAUoe/CWfX7ZoJehVCkYkF+7Fib44iE2m0Uzp2VX9vVxS1ZByspzujUlp0Ym8SeBYdYP+ZPFflXZ9AiiwI2ozO5+3Ow2+30rzQSyWZ3kjNAgH6VRvDxeZDLdWUZQt+G8/bJB7wyezh1MNqsEl6ZHYTl2CQzt6NjSFnCaLFy6XEgAZ8iyJ/d16XjTZQsceXVR1pkSc085CuRm23vVhAVGsvl1x8IjzOSvYAflUrmp2ydEhjcDRxbdyb1PtOK2AtkYfmRawxq8xU+uTJj0QrIpBbgBEFQeH83jtxRBUBWk41bx+8DDi2s2acm8NeCQ9jtEq0HNiPsfQRntl12XAernZDAMGq2rMyE3cN5dS+QYfUnuiTbpyApzsigGg6x2vQdkOAog/1SZWTy35hEjRZVaNK9AUdXn1aWERDYNHEXlRqVw2a1O+lAqa6JxcaLW68wJpr46rtqbJv2FyGBoVhMVgweenrN6MLFPddZPWIL5iQz9TvWot/8n9DqtETEJqr5fo6Th8kmOem2fQ56Ny3gCMasZiuCAJI93Q2e7qNGI+Lh40FSnENIVe+up8xXJbm45zpavQZRI6LRaV0GggYPA/GRCVhNVkLehDG57Twm7RtBlSblCQ4McymDteSXtWwNXK58dvdyZ8bRsdisNgRR4MCy45zbfgWvzJ5UaFDmHzXjZCAD/woyAqr/Unh4uzPjyBgkSUIQBJclsk+vgpOtY9SPH4vZyrLbs7h28DYJMUmUq1vyi90tNVpU5t3TDwqp2OBhoEaLysrvOQtmZ/RWtSK3Vqdl5vGxyQKVJopWKuRSSTw6PBYh3VusVqclOjRGCahe3H7N719PchyHIOA3ITMjNg7g0cVnuHm60ahrXcXSIjoslint5ykkW6vJyrgWM9nxabVSokkLvZuelulKBTVaVuXDiyDleN08DFRpWoEhtcYSG+7o4gt7H8G1Q7dx93JDp9fS99oMfL3cufb0Ha+DI8n9bXmeXHuJJXmS1xh0+JfOzcYJO1TBlCAK2AtmIa5KXtwOP0ETY/ycLZ8KGo3GZQbF4GGgdK1iPLz07LPrCoJA6PtwBtUYTd4SuWn8U33ObruEOckhG1G1WUUKlMkHQLzRjFarUbwWAbSiSGyiCR8PN9wNOhLSdVBKskx8mvJWUGQcodHx5MmaiXE7zvD4bTBmqx29TkPvZtXp0bQqP83tSvNB37Co32pePPuIJbcPSdULsPP8fW6/+MDLTxHIHSogRCeR/fwbpHgT9TvW4tCKk9RpXwO/nL7JnaWp5zZT1lSro9K1iqt8Hef3Wq46fzaLjWfXAlg6aB1Prr3EbpcQNY6uS1EUHEKVaf6MJLuE5TPdbwZ3Pd5+Xjy/+UrR0bp57B5lvlKLv8qyzLPrL2mbtQeDlvZCq9e67LJLc+XQG3TY7RILL0/l9KYLRIVEU+HrsujddIxsMlXZ3pFVpxBFkV8W9aBJ5eLsu/JYNZJeqyExNIYHF558YXsOiBoBm8WuZJv6zuvGxxdBHFt/VmkC0Gg1SLKEnBxkabQiuYvlZM6pCRxbd5akuCQqNynP2G9nqrTFLu25TtvBzSlaqZBqm3vmH1Tz3owW9iw4RJUm5clZMJtLv8GEz9jqaHVatkzZxa45BxVx3ceXn7HizpyMrr4M/FuREVD9lyPl7S42Io4Xt17jldmDkjWKsXnybnbNOYCoUU/PBg8DTbvXR6fXUbf9lz3PUvDD2LZEBkVxYsN5BBFa9mtC64HN/tG+FaucSmB+fOU5bx9/IHfRHFT8uiwWq43J+y9hTvHQS15OkiQKlUs1QV7cb7XKoy70bRjDGkwCWUaj1bBzzn5WPZiHj5837599dHrzlCSJkMAwVcYr6HUIV/bdRKPVUK9jLVX34Y/j2hEdEs3JTecRRJE2g5tRoExezEaLipyb0pkmigKL+68mR9/67Ln4AJtdRqsRKTGwAZ9WXcBqs2Msl4tjL9/jmY7cayyVA0u9wlhtElK1fHidDUBwodidHlq91ol7JQgCrQc0xcPbg3tnH39mTUeywm61Y7faCXz0Hp2bjq9/qIOXryeFyxegfsdaSoCeK6sP3u4GzBabon4tCALF8/gzZPkBIuOTnMYXBYEqxR3nevOp26w4dBWdVoPZakNMlpkAh2/jikNXOXMvgNdBkUiyTJ5GRYkpmyonYbbaefY+NSOh8fPEvVsNjCsvcHb7Fc5uv8ymiTuZc3oCJzedJy4yAVlyBEMDl7rukE2KN+KdxRudQZuaFRIc3x9ddwaryYpG6ygTufl6kq9kbopXLcLBpccd2SgX6RG9u55SNYuRo2A2Gnetx7yey1WBgznJTGJMIm6eBqeOuoToRBb2XY3BQ6/6TRAFdHptchbKQIdhLZnRZTGX994AoHG3egxd3ReNRsOENrPV9lBWOyc3neeXRT2oXjIfTfPn4sTbZGV5m0Qbbz+iQ2PRG3QqXprBw0DOwtn58PyTErSkZKIkyfF53eht7I/eRN6SuVkzYqujo7ViAX4c34Glg9cRExpLkUoFGb9rGH45fOkyth0AIW/D0Go1qv3U6jTEhMU6nU9XFjApFj++2TPT9tdv2TP/kPKbRit+VsoC4MCyEyqnAovJyrkdV/7W5zMDGfhXkBFQ/S9AwN03DP96kmOitEkUrlCAV3fVdhSCIJAtf1aa9WqomCx/CZHB0ZzYcBZTopk67Wrw68q+DFnxszKWK1x5HMi1Z+/I6uNJ+7rl8ErTVr5l6m52zj4AyAiCwDc9v8anZXmeBUVga1EK7+PPEePNaLwNDN4yCFsaTk10aIxqO2ktQuw2iZjwOA6vPMkPY9rhnyeLUwnMZrHjlzOz8vnV/UB+qzvBUboQRbZM3c3Ku3MVwUCNVsOvK/vy68q+WMxW4iLjCXoV8lnjZ0mS+RAUxYXz9x0EbcBqt/PYbkfoWgVLylt8cBz2CrmQ3HXoPsSgex+NsVIepOTjsft7/bPslE5DyRpFeXD+iWqfZFnm3pnH/LKoO3o3nUqmwN3bndUP5jG72x88vpzagGCz2Hh69QWv7r7Bw9uDVffnIggCf116yPVn78np5838vi2Ztu00gSFR5PDzZnbvb/HxdONVUIRT95e7XsvM3t9SNHdWAkOiWHHoGmarXQmiXJ27gE8R2JKzPR/CY9NKGjmOK83/7bLM+5h4fBItyqRrtdhY0Gcl9TvVRqvV4JfTl2rNKrrk7J3YcI7Fv6xBoxWx2yQM7no0Og2iKGI2WZTgwm6T0LvrmbxvBGVql8But3N68wViI5z1u8DxMlCpUTluHLnDtul/kSmbD6HvwhVOl95dT9XmFdEZdDxykT3UaET6zP6RrVP/IvRtON5+nozaOoSPL4II+xBB2ToleXbtJTcO31HGPL/zKnmL56LjiDZ8DHDuBkz5+zclmXk45QBZTFalZHrZXU/LNjWcAhe9m45pB0cyr+dynl4LwGqxOt33drtEXGQ8bQd/S5Of6nP31EP0bnrKNyjN1jfL+Rz882TBI5NHMufP8Z0jGHMW02w/rBWPLz9Xyq56N51KYqXv3G64eRjYPnMfkiRRskYxl5SCFKR/ZgnwfyRYmoEMfAkZAdX/Asz4YbHKauLl7dfOgpIGLUuuTncSz7SYrZxYf5bwT5GUqV2Sas0qEvEpkr4VhpMUZ8Rms7N38RGm7B+pCHtaLVZEUVRlgv48e5elB65gstjQaTXsu/KIHWO74m7QERMey/YZe1UckWNrz1Amtzdmqw38PIn5oTJIMqJGZOLZm9hOXef7uuX4rX09KjQs6zCHNWiQ9Rq0EerUvs1iIy7SoX+Uq3AOOo5oza65B9BoNditdvrM6arwpgBW/74lTcbLjt1qY+vU3Qxbq+aRXdh9lTndlyUbGjsCgvR2QOAgBBeoWpgPWlEJqABskoScJo6w5/TBnt0LRBFLwSxoE8wIHnpFT0jyMpDQtASZzgYgGVM7k2QX5aZRmwfxS5WRRIXEqPYlMjiaMl+VpN+C7qz4dQNWi41SNYoxef8IMmX1oUiFAry49VqlGo8MFqMVuzWBHbP3k1SrIHsvP8JksaHViJy+F8CCjo148eAtL+LiOffgNe4GPTn9vHkVlGrV4a7XMqrT19Qt6yjffAiPQacRMX+BGiaDEkwB2CUJrUZ0WMBIElpRRBAFrCnnH9CZ7epAQIY3D97x+sFbDG56ft840GUw9fFlEH8MXIvVbMWanKwQtSKjtw3BN3tmhtYZ57ROykQcHRLzRa2mqs0rOsQ2k7Mgejc93r6eWMxWJJtEriI5+H54K55eeYEgCE6BTFJcEv55s7Ll9TKsFqtiVJxWpyq9mKc5yczd0w/pOKINBUrn5UM6b8McBbMDjo5gITmTnfJU0Oo0fHj+Cb27XvXsyFcyN745fJl7xlFib6rt6HSsoijimyMzEUFRDKg6KvlvScbbz4tlN2fh4eMwDU/PjdJoNcw7O5EJrWfzKSCEzNkyMX7Xb04efwB5iuZEq9cpJVCfLN6Uqqm2r/ppcke6TuyAzWpXLI0+h+9/b8WmibswJ5kRBAGDh4GGXep8cZ0MZOBfRUZA9b8A4en8p6xmm1PZy+CuJ5O/j+o7m9XGb3XH8/bxB8xGCwaPo3QZ25aEmEQSY5KUDitzkoWVwzax9OYsZv24xGFNIsC3fRszYHFPRFFUgikAq81ORGwSZ+4F0KJGKWLD49DqtaqASqvXktfDHTe9VlmPZK6KMXkG3nv5MVVL5GPgH724KBmJMQgIEvhcf4t7YJSSTTB46Kn+bSVl7G4Tv6d2m2p8Cggmf+m8ik5RCuLSZRkkSebKgVt8CphAu6EtqN2mGsGBocztvsxJ7BEgR6FsmH1koh6FgwC6kt4MmtOF63N2qZZzaVyfMsnoNNh8PZwWylwmN/v+GocumRf34vZrhtYZr2o/d5gk6/hlcU/m9limTOI6g5byyS3oLX5uzLd9GmG32dHqtMQbzWw6eRtTjQL4n81O1LtwRxt7mu3bbXaiQ2PYf/4+9uSg0WaXCI2Io0+HOejfRiFIMsZKedhasyBTfmrK5K2nkGUZu12mcrE8NK+eWnYpkN1Pxb0CMOg1ZPJwJyxG7fmYFt7uBr6vVx6z1Ub98oWYv+ciAR8jEJPb3jvmzcNRjwcqDpTSdGG0sGLoBup1qElcZDzrxmzj48tgytYpScEy+Rydgmlkp6xmGwv7rCQ6LBZRFNHqNdgsdnQGLdny+VO8qqNkffXg7S9qad08cldFYreYLNRsXYXHl56REJNI0OsQJn03l/CPka7LWcCifqvZ9PIPJZhKj+z5/Xl1L1C5FzRaDdkLZAOgSMWCXNpzXbV8h2GOjI6j21Gr5ozZ7Oyad5CYUHW57cXNV2yatIs+M7uQFG9EdlHfrPd9TTQaDauGbSY2PFbJGJsSzXTO2w+bxfH86TXrBzr81kq1bt7iudnwfAmSJH22KxFgycC1mBKMSgY0NiKObdP38vOcrqrlRFHk8MpjbBi3A6vFSq3WVRm5aaCT6Gr731rik9Wbc9uv4O3nRbeJHciRfO4ykIF/FzICqv8FKFQuHy9uvVYetG6eBhr/VJ/j6846umlEkWmHRjuJ1905+YD3zz4pE4U5ycymibto8lM9JZhKQXRoLPN6OgyGU7ZzYsN58pfMQ8v+TZUMQgokWSIpOTDKWSg7Wp36Vks0WWjTugYhZ7ScvPMSjSBgttpUj2+z1UbAxwjikkzE+LqDxVGyiK9dCPL7EZfTGzQi5bP5UTodf6Jw+QJOVjspqNOuOh8DglUTTHxkAo8uPePlndeM3jrEoVmTbvIFB28qPjGJqBX5MMX7INhlzD56NoZdZM3Q9gxbdYgP4TGugykXEAVIm/Aqkisr7mkmVFOCCTcvN5JiU7lKsiRz4+hdGv1Yl7eP37N95j5kWSZn2Xzcyu9Fq/Hr6VCvPD82rIRWpyXBaKbT9K1ExiZisdlxq1+Q3tVbEHHmGRd3X1Pp/dRoWYV9l++oj9kuOUokydkC97sfiS2chSM3n3F4ak+evg/j2btQnr4PZfaOc3SsX4E/9l/iypN3iIKDxG7Qa5FlmRk9m7HtzD3CYxM+e44SjGbaflUW/8xe3Hj+3pEFE8BiszOgeXW6NqqMLsbEwZUnsVms2Czqe8+YYMZsNDOg2ijCP0Zit9p5dPEpnr6eTiKeNotNyfLZJTtanYbStUtQtGIBuk/thFan5dqh26z+ffMXr6PdBe/t+fUAYsLilOzm48vPKVKpEHp3nZMVEDJEfIwiJlkG4vmNADwzeVDmqxJK4NF3XjceXky1x/HI5EGPqZ0AOLX5gno8wZGprtCgDL45MjPj2FhGNpmKKcGEDLTo14R9i4867bPNaufAH0fpOLyVoiCeFJt6zkStSMMudbBZbQS9DlEdtyzJCj/KbrOzYewOCpXNr+jBpUXaYCohJpG1o7fy9vEHilctQo9pnQkJDFOVk61mG8FvQp3GuX74DuvHblf+lm8cvsMfg9YxfO0vRAZH8+f0v4gKiaFW66o06Vafpj81IDYijuW/biDw0XuKVCzIL4t6KE0tGcjA/x9kFJH/F2Dczt/IUcAfg7serU5Dm0HNGLy0NzuDVvPH9ZnsDFqt6nBKQWKcMb0INCBTo2UVlYYUOB5653dcVWVszElmbh2/jyAI1C5dAH2arJggCNQo6egU07vpyT2gAXYvAzIguetI+LYUE3adoWrxvOyb9BN7JnYjXzZ1OdKg05I3WybeBEVitKROQJJGIDa/L7Jei6wReRaXwLw96SaUL6DT6O/49udGDruJdJk8c5Kjmyh7fv/PCm7KmTWY7FZkQYtkNWAySdyOfE3hXFmZ2LUJBu2X3lNSFDhlxOwWp/f/q0/f0WjESg5ec3RfFa1cSNH4UkaQZRb3W83zm6/4aXJHjhi3MfrGNJ7VyMO7mHg+RsSy4tBVdpy/D8DxW8+JjktSypEmu50tD17y25p+fP1DHQweejx83Ok6sT0NO9ehXtlCGFICYFlGkGR0H2NSt68REOPNxCeZ8fZwIzAkitVHr3P6bgB7Lz+i84ytXHv2HrskYbVLaDQCv7aty7EZfVhz7Ab3Xn/6YsAp47j2VpudYSsPYjRbMVls2OwSKw9f50N4LH3mdOVQ3BYWXZqm0pjSu+mo2bIyjy49JzY8TiFWyzIkRCU6EcrT82gMHga6TfqeAUt6Kf5y53ZccbbNSXNJ9G46StcurvqbcfMwYLfZVfeQ2WghSy5fqjSp4FSSBwfp+lNAMN2LDWJW1yWMbTGTUU2nKWNkz+/PhueLGba2P8PX/8K6JwuVcpmT354Mx9af5efyw2jn35MHF59it0lIyR6Kh1eexN3bzeX5t5isLO6/GkEQmLJvJO5ebnj4uKPVazG46ZnYZi6tM3XDN0cmlcVReljNVpd8sbSwWW38Wmc8Jzec58mVF8laedMoW6ckerfUFwuHl2Npp/VvHrurejGymKzcPn6fuMh4+lUczpHVp7m89wZLflnjkGexWPn1q3Fc3H2NwEfvOb/jCsMaTMT+/0MXLgMZSEFGQPVfClmWlQdttrxZ2fBiCRteLGFP2Dp6TOuMLMt4+3qRv2Qel55jgKMrJs0Eo9VpKFqpELVaVeXXlT+TNU8W5cGf1l4mBRp3HS/zeNFy/DpiEk1UL5kPX293CubwY9mgtqoAKVwvEtOlMlF9ahLdrSpmfy/uvwpi1o5zDF66n7sBn2hUqQiebnq83PS46bV8VbYgjSoWI382X1XWJj3MVhuXHgX+43MniiI/z+3KgZjNVG1Wwel3QRQoXL4ArX5pisFdr/BoNDoNbl5uVJ5SD157YD/th/1aJuynsqANc0hC3A34pOJROUMAUQYPO1KMxmVgERVvZNaOs1x69AZvXy8WXJiCNp2opdlo4cy2i4790mg4evsFpjR6SCaLjf3JrfKJJis2ST3hmq02tDot/Zf1YuilSfQ/NYbGfZsAMKNXc9rUKk2B7L4YdFq8Dz9BTJNRESQZbTZvmlVzyACsPXpdKdtKsozNLqkylmarnY8RMcQmGnn9KVLFmVLGTI4v3PRaKhbJxZL9l1l64IpSekyBzW7n4ZtUAnbxqkUYs/1X/PNmxcvXk7rtazJ0dV9kWf4bCQIHnCxOEk2KBlcKvDJ7OAW13r5eDjK7RqRK0wp0XtoDTYuyyAX88C6di9+3DaZo5UKqgN3grqd41SJM3jeCw4nbqNGiMm6eBnQGLQYPPT1n/MCC3itIijOSFGfElGDi2fWXnNpyUbXdet/Xom77moq5MUC7oS0wpNNms1vtmBLNWIwW1o/+UxV4mJMseGX2xODp/GyQJZlX998CUL5+abYGLmfaoVF4ZfbEmGDCarZiMVm5f+YxJWsU+6yekygKZMnlB8DexUdo4/sTLTy7MKf70mTXBXh1L5Cw96mG5xaTlVd33/Dd4OaUrlUcjc6h7l+lVWWy1C1GUKTaIcI3R2YnLa1MWX24sPsaxniT8ow0JZrZOecAbx6+JzI4Wrk3rBYbQa9C+BTw9/Y7GcjA3yGj5PdfiD9n/KWoQldpUp5xO4fi7uVO5mw+zO2xjIu7r4Eg0HZIc/rM7vrZrjz/PFmYdXI883osIyo0hlI1ijNqyyAAGv1Yj0Y/1uMbfUenSU2r16LTa4lqUpxojYQ1Io6giDi83A3sm9QdPx8Pp21VKJSLtyFRqmBDBkwWK4EhUUzdejp50pLp37IWNUrmx9NNR4epmwkMiUIjCug0InqdFkmSsNjsqv3K5Kl+2w59F86pLRew2+zU71hb4VHtWXiI9WO3Y7faqfh1Gdr++i33Tj9KLXu56xXLjp/ndOPrH+rw4UUQbwNDORcbjcmgxZyYBfuzcJAExz/g/SUb5tY2svh4oNdpUnlh6aGRwMsOcVqQP9/TZ7LYOHn7BXXKFqJgmXxkL+CveugLooDeLTU74G7QOXXHpYiM1ipdgJWHrymBjF6roU6ZgsQnmegy60+i4hzlRI1GZOPvnSiYw4+Rnb4G4MHrIAaGxKE99FipTQrflqFvx/q0qVUGQOliVGCwI2SyIZs0EKdFr9OQxccTURRdCjKCQ+QyW2ZPiufNxo3n77j14iNajehUerZLMnN3n6Np1WLokzOBBb8qTsW53xOXaKZ21eIY3A2UqlHUKQj6J5Blme0z9zFxz3AAjAlGOgxrxbntVzAmGJUSl9VsRavT8NvafhRtWJZO07Zg9DVA0xJE2SRGrj5MvyqleffkA9GhsUiSROlaJWg7xGHmrTfomLx/BFf23yLsXTjFqxamzFcl2TJ5t2p/TElmwt6H/+1+t+zXBJ1By7G1ZwB4/eCdKpssigJS+svkrmfjiyUMazCRoHQBRYplEDgI4flL5XXSedJoNbT4uRET9vzGon5ruLT7mur3HAWz07RHA64euKUqy13YfQ3PTB4MWNzzs5lKg7ueOacnkhibyIZTd9h28QFnNxzHJklM6tqEJlUcGfc2A5txfP1Z4sLjHbwsjcigZb15dTfQqQPVbpPQaESnphI5uRkmAxn4/4uMgOq/DJf23uDPGfsUrsK9s49Z8staRm4exIZx27m6/5by0D+4/CS5iuSkxc+NPzteqRrFWP9s8Wd/z1cyD2+ffFAeQgZ3PW1//ZY8pfMy5sodpOQAScbRlXXrxQeaVnUuL/7SuhZHbj5zmb2RccgMkPzT9nP36da4Ct9N2siHsBjAMZFqtCKTuzWlTMHsdJu9g9hEE5LkeEiO6tRAGe9jQDADqo7EnGhGkmX2zD/EvLOTiI2IZ+P4nQqZ/eHFp3hm8mDGsbHsnncQSZJpO6S5ivNRpEJBchTPxczJm4iOT8IuybyNiEGURexpwgMBgYjYRJpXK8Huiw94GxqNLDtsZ74qU4gLD1+nZmZik1WnvwBREPBKk3H4aXIn5vdejjnJgiAIuHu60bJfE159iuDJu1AqFM7F6bsvMVkcPDQ3nZZfWtUGoGjurCzo14qZ288QbzTzVekCjOnSiLVHbxAaFa8QxwUBZm4/w+qhqdo85QvnYufKwZzu9ZyPn6JoUK0YNcoUVIL0eKM5HfFcBoOEWDkeQZThvTvii8y8CQqnWZXiVCici/uvgxzdnWkgyTKhMQmEpiGr2+yOjr/0Ga0Eo4WpW08ztfs3hMUk0Hn6VhKMFiRZ5sy9AEZ2bMCt2Ye/aOj7OUh2mSsHbvLhZRCT283l44tgBFGg26TviQqO5tCKk9htdqXjb37PFXTZO1TR6AJAK2LOk5ld8w6y5Oo0ZNlR9s5bPJfDe06SEUUBURSp07a6avuFKxbk6dUXqXxID4PKjPpzEASBZj0b0qxnQxLjkvg+R2/1AqKQzkPPQLuhLfDLkdlhNq0aDKo1r6T6yjOTh1PQIUkSWfNkYfuMfdw8cle1/rd9GjNgSQ90eh1XD9xUl+WMFq4dus2AxT0pWqkg2fJmJehVCFaLDb2bjiIVC5KzkKNDMTTJxLaLDzBbbUq36MTNJ6haKBfLB6zjwfnHZPL3odGPdfHNnpkqTSuQp2hO/PNkYf3YP5VuVoOHngadvqJguXzkK5WH1/cCsdskBI1AwbL5yF3EtS1WBjLwryAjoPovw91T6u4mq9nKvbMOs9SbR+85tVXfOnbviwGVK1w7dJt1o7dhNlqo1boqCdGJxEUlYLfZ6TTKYcprtdsRrtxxWlevc53+v/joDbZ/yFOITTCSZLLwMTxGNVFpNSJJFgvZMnuze3xXTtx5idli46syBcmfPbW8uGLMVpLiTUoHnSnRzNpRWylSqVC6c2fj/rknjN81jHJ11QataXEn4CNJZquq8y09rCYr1/68TNuBzdj4eyfOP3hNvNFMhcK56LdoT+o6dtdvwqIooBEEbMnK3B4GPV0bVVF+b9CpNl6+npzZehF3bzfa/9aSe+FRTN12GlEQQICKRXKTL7svdrtEixqlKFswNctQs1R+Dk7tqdpmcGScKhiSZQiNdu6+exsaxcpjN9CIIkcevuKrsgWZ1as5CSYLv604gEUVHAmQoHVk7vQy5DNi+mjg8I3nXHnyju1jf2THufucf/CK10GRn81YKaM5Ds1puVN3XjK1+zccuPqERJNVuU9MVhvL9l9Gf/axWhpCgKrfOKyZ7p97jN1mV/S/0kO2y/QsoVb+3zZtDz2mdcbgoZYZsJisRDz6gJA+QLZLaHUaQgLDqd2mGgCP34YwfNUhwmMSyJnFhwX9WlEsj9roe+z2XxnZeArBb8KQJYm2Q1tQ/VuHK4HVYmXDuO3cPfUI/7xZ+GVRDyXwSAtPHw9+XdWXxf1WO7prLTa+/701z669+P/Y+8v4qO536x9/bxmLOyRAcHe34g6FUlrqDjXqrtS9tECF0lKhlApWihZ3dw8EEkJIQtyTsS3/BzuZZGcC7ffcr3P+9/ndWU9aZmbL7JnMXp/rWtdanNx5FotN5s7pNzF26vBatUM2hxVHUFXFtzCniPTzmTz6+b3Mfe5nwxVd1Rhy+3W079eaN2742PR3JQoCkXHhvmnF8Pph/i72FZFBskVm1q73+P6VhVw8eZk2vQxReiVhz8gr9rPeEASBN++axYWtZ/C6FQqyishKyeH7U5/7gtPrNY5m5s53mfP0TxTmFNN3fA/ue+dWJEmiz7juJB1NMT5rTSf1bDo5aXnENKoylK1DHf4rqCNU/8sQ1SjS7PAMhNcLBSCyQQSpCek+rZNkkYj6D9PUT+5M4P3bZvqI2drvNnHLSzcw8p7BBIUFcODvY9wR/whup4c2N3cjyapXeE+JRIUG0rddk1r3m1dUXisRqQ2xkSHYrRaj5aOZW4RRIYZQODjAzs0DOpGYlsPfB85it8qM79uOs5dz2HP4AnKNXkJpYRlRcRG+VbougKd5FK6mURw8d5meFc7ee89c4vD5NKJDA7mhXwfsVtkgLDX2JwAWWUJxGsLygPVnmf/rEdLOpPH03IcZ0d3wzHn/103kFpvdxGtO9gFIosg3T05i95kUbLLMDf3aczY1m2U7T5CRV4zT4yU+OoxH5z5EaKAdVdO4afYSU8Xv8Pk07h3Zk56tG7H9eBIzl22nfngIkwZ0rBKZV0PP1vFsO5Hka09aLRI9Wzf0e92rP6w1tTB3nbrIntMp/Lj+ICcuXvEnRTqGTgzQdQEhQEUp0ChzeTh49jJTx/Ri89Hz/0imALxXIT0eReX5b1fRMDoMrYY+zKOoOGQzcXUE2nnwoztp2rEx5SVOls1czYK3zDYX10Klq3xt1gknf9lNxIR2ZGQXgiSCVyXgYCqqV6VRGyPuqMTpZtoXyyit2D4jr5iHZy3l7w8e9LVmAaLiIvj+1EzyMwtxA9ExVVYnH931pZFZ6PSQdDyFfasPY7VbGf3AEKbNvt80xTvi7kF0HNCWy2fTqd80hhlT5nD+cDJet4Li8bLo4xWMeWAYQWGBDJzcl70rDuJ2eirc2S30HN0FgD0rD/LBHbORLRJet5fJL0ygaYfGRDeMoF1foxJdU99Xmd1ZiZueuZ4N87dRVlSOphpVoY6D2rHup60MmtyHoLBAnv7m4Vqve7PYCL/fDVkSObvpFHr1CUNd5+iWU4y6r6pS3bxzEz7b+rbfPpd/sbZqWEA3Kmbb/tjNLS/cUOs51KEO/xZ1hOp/GSY+PoaN87eRl1loTGAJAk9/+wgA02bdz1P9XjMmmwQICAngruk3/0f73/zrDtNNw1XuZsP8bdw9fTLbl+zh43u/9E1OuX7ZS6/7BhDYqwUNI0O5e0R3082hOuxW2aR5EgTo0rwBCalZppu1AIzt3RZRFHj9jhG8/9smQ7AsCPRq3YjebeJ9rz1wNpWn56zArShIosiCjYcICbTjbB5JUFqhL8JFsskMuX0AYx8aztrvN5F9OY/cwc3xxARRbpV5as5fPDyuDxZJ4quVhp+WzSLz566T/PLS7fRo3QiHzYLTbdg2SKLA0C4tGBwSxuwXF+DNKkb0qLiBv3/YwrTZD/iMBlftO+N3LSRJpF3DGBJSsxAFo/Xz7M0D6dayId1aGoRmzso9LNx82HRtZFFg45HzRIcEcCEjz6996vaqrN2fwNEL6czfcLDifUis2neGn1+8DUsN8fDE/u25kJHL4u3HAOjRqhHPTR5seo2iapTUyAzUdZ1L2QWcSM7w09ch6ggNXQjWiscFHb3Y+E7oQJnbw+zlO0nLLfS7Lv8pdp++SP/2TbFZZJ8gv5JY7115GsHtRXcriJJISFQwDVsbuW0BwQ7umn4zf3z8V60+Y7VB8aps+X0XskXyy5ErzC7k99fuYvZPG1i/ZA+OrBLklHymfHwX8RWEKjkjz6/MpqgaqdkFflWq5Ct5PDr7T4rLXSDAm3eNZHiX5uxavt9PRO9xeVg/fxthMaF+MSr1m8RQv0kMhTlFPjIFhu9acV4JD7R9mpuevZ4XfnqM+dN/59C640Q2jOCxWfcTXi8MV7mbD+6YhbvcQ+U3YMmMVcw78ZnJOPWuNybz3Qu/+KpUilflxI4z3PDYKEPbGR3K96dnsm3RHlJOpbLup62smrMeQRT57f2lfHPkU5PAvjriIkOZftcI3lm4AUEQkCWJ2dMm8OqcXSiYvdnsgbVPLaqaxrw1+9l0JJGQQLsfQdN1/b/UHq5DHWqijlD9L0NgSABzj81g78pDuMvddBve0Vfmbty2IT+cmcXBv48iyRL9bujhG/0G48d3918HKS8up8vQDjRoEeu3f1uAzc8N3OawciU5i4/u/tJ0M/GUe8j86wh/fPUIuq6zaeEOdizdS1hUCHe9MdkX5aKoGl+t2O13rMcn9Gf94XOs3Hsal0dBAALsFsZWTI+N69OWlg2jOJ2SSXRYEP3aNTEJ7D9ftsN3I1VUjRKnG4+i4mkRTZlLIeBoGmjgiQ7k0IZjjHtwGHMOfczP8zfz46nz6JqGrhsVtq9X7vHtB4wpuPTcInacTCY+JpxSZ5XFgSAINK0fSYBTx1roRK3hg6Rr1X/o/T/D+hEh/PTCrZxPz+VydiHN4yJpFltVSXR5FOavP+g3madoOtmFJeQUlvhVuCrx98GzqJqOqlW+D5XU7AL2nElhUKcqLY7T4+W9hZvYeSqZyJAAnr95MMO7t/LbnyyJxNcLJzW7oKpIp0OHxv6aE0kUGNa7BYfjjuPWLbgVBSEhGLXEqPLJosh3a/ZRUOq8auXpP4Hbq3L0QhodmtbnQnouAXYrQ7u04MDZVC6PaY2iqIRcyKM7Vl6a/7jJMFMQBCY/N55Fn65AcV9lgKAGKjP+qv99iJJIVINIJEXj9WnjeeauYVxJyiIyLtzkAB4e7PAzOXV7vHyxfBdFZU4GdW7O/aN6IgoC0774k9ziKgH4Ows30jI28qqyO3e5m91/HbhqLp3FKtcqxC7IKmTh20uwWCUe+uQeHvrEvF1eRr7fQItslUm/kGkiVBMeHUVpQRk/v7nIR/iObTnFZ1O/4fU/ngWM6cTxj4zkgXZPmUhsbno+q7/dyK3XqA6N6dWGwZ2bk1dcRkxYEFaLzD1vTubX9//EXe7GYrMQ1TCSPtd3q3X7z5fuYPnuk77FSXDLSAJOeVEqongUQSCiR5OrHr8Odfi3qCNU/wthD7Ax5Lb+tT4XGRvO6AeG+j3uKnfzRJ9XyEzJRtd0BATeW/MKnQeZvV0qp2acpS50TTfGud+/g98+WGYKNa1EQLBhF/DHx3/5ojdEUWDXXwf4/tRMImPDKSgt99NPBdis5JeW88ItgyksdXLw3GVCA+28e/8YYiOq2hytGkb7reArUeo0V05UTSc2IoT03CJcHWJxd4gFr0rIugSOHU7i/ifm0vP6bkQ0icSSWCPrEPxueKqmU+rysO7gWZNOSFE1lu46zp8v3onFKuMWDaGx1W6l6/COJpuKWwd3YfH24z7CaLdZmPfMZCRRpHFMOCeSr7Dl2AXKXB6f5snl8dZKxMDoPF5rLe1VVaNFWQMl5W7+2HaMy9kFdGway7bjSWw7noRHUSl1enjj5/XERYXSrrG/Jmf2tIk8Mnsp+cXl6LrOMzcPpFPzOG4b0pVlO0/g8ihYZYlGMWG8c/sYRGks2a5iAkUb852H2eu5RP3wIOIiQ1m284Tfda6J2jRTYGhzdN3s3V1Y5uJQYhqCYET9nL2cQ3JmvkGMBQF3+/pE9G7HipMX6FBUgutUOtmpubTu2YJ73rqFHUv3cfmsObJFkiWsdguaqhESFUzO5aokAlXRiIwLpyCrEE01PJ0un0vnoc7PMffIpwSFBdaaTRcfE87Efu1ZufcMmq6j64ZH154zKQCcvpTF6YuZvHnPSApLzeajsiSQlJXPmCnD2PTLDpNeCQzSbg+08eKId8jLKKDnqM488OGdWG0WcjPyuXgylV5ju3F44wm/bV3lbtb9uJVJT13vd85RDSL8HlM9Co0qKn3VoXgVE2nzur0cXHccMLI4P5v6DcnHL/nlchoaKPNjtcFhs9AwOsz379tfmUR824as+GodV1Kyqd8kmtSEdFp2a+a37aqKBVslyro3RLPJSOdz0G0y5b0b886qXfTt15bgq1jM1KEO/wZ1hOp/CbweL6WF5cgWkV/f/5O0cxl0HNCWm58dX6sPjKbp/LLpEH8fPEeQw0q3Yo2MpCzT6vDzB+fyc+KXpu1im9Vj7pFP+eurv3GWuhh25wA6D2rP+p+3+h1DEAQe+fw+ABZ/usL3Y61pOu4yN9v+2M1Nz1xPWJADSRTxjfFhBKw2qRfO3FV72XEyGZdHodzt5YPfNjH/xduwSLWL26tjRLdWLNp2rKrdY5F54sbrOHA2leVbj+EuduLYfwmx2E3ezZ3JtQhc2HrMZEAKxo06PDjALw7Foyj0bNWIjNxiv/y1fHcZ989dRu5dPZALnTQ4nknP/m1M0RiXz6XT0SXgaRZPsuohOjyYaTf0IyYsCKfbyx0f/EpmQQleReXHvw/w5j0jGdWjNaGBdprUj+BiJTH4l7DIIj1aNaLM6eFMapZp20Xbj3MhPRe31/Cn8qqa6XmPorLnTEqthCo+Jow1702hoMRJkMOKtUKP9exNA2kbH8PhxDTiokK4Y0g333NxAcaQwFOTBvAURmbao7OX/SOZAkOg3ygmjPTcYpOflVbLjH3lQ7oOTreXUylXTO/L5VFYvvskuqYTvC4Be1YpuqohW2TufnOyyTyyEk07xTPpyXF0GNCGlXPWs+Lrdb7JUKvdwnWTenN82xlSTqWi6zrucg95GQWs+Hodd75201Xf10u3DWVw5+akZBWw9kACJy+arQp2nExG1XTDRbzae9A0nfrhwYz4eiqNWsexZ8VBEvadp1LaJ8sSyccv4Spzo+s6WSnZ5GYUMOLugbx360xEi4TqUWjfvzVXkrK4ctE81WevxYsKwOaw8cbS53nn5s8QJQHFozBt9v21RrYEhwdhscmm+J3A0ABUReXZQW9w5WK2X6sUDOf1v778m9XfbODGp8bywPt3XNXmpSZyLudyZl8i7nI3mclZnNyZwFf7P6Rxu0am10k1LRFEEXfnBigdqir0giBwObuAdrVUXutQh3+LOkL1vwDr529l9qPzAFArKhCKV+XY1tMkHk5m+qJn/bb5ds1eftlUpcE5f/gy1hp6kaLcYr/twCBVj1YQpUoMvqU/hzdUrXBFWeT6h0bQa4wxOVVT21HdeNQiScx4eDzPzV2FJAp4VJWHru9Do+gw5m84VK09pXApq4ADCan07+C/ytd1nYPnLpOYlkNhmYt6EYa55JZjF7DKEo9N6M/Ajs0Y2LEZLTKdzHv5FzxOL2V9mqBbJEMNjkEeGkSGoOo6ecXltG4YTbeWDfhl42FT9UMWRRpEhXJDv/Ys2HwQj0fDZ8ypwMW0AuNaOGQCx7Xj0bfuQ6748V7z3Ua+fPwH3zWwBdh4Yfd7xEaE4PYqPPrFMi5lF/iO5fIqfLxoK6N6tCa7sJT6EcFk5Bb5qlohDhvx9cKJiwhh7YEEXB4Fu9VCs7gIikpdFJW76NGqEW/fMxJN03lzwXqOJ2UQGRrIbYO78PmyHT6rAmctlUaLLBJ0jdW5IAh+/mKCIDC2V1vG9qqK/dE0nezCUmwWifDgqtcnX8nj8Pm0q+6/OlRNp3freG6c0pF7P/nDz2LhatA0nUC7FbfHHGGkajpyRhFSehFKRatR9arMf/13bnpuPGmJGT4ndNkqE9esHp0GtSOiQQTHYx04wx1IOSqCINCkU2OmfHgn97V60nRsxaNQkGl8njmFpSzcfISiMhfDu7Xkumrf5Z6t4wkJtPP71qO1vgdd13nn3lG88fN6ZElE0zRGdm7Bjllr+XpHAnEt6vPyL08iW2V2Lt2HqqgoHoUFby825Rnu/HMf+1YfMjm8n96TyAvzH+OzB+b4yJdskWjQMpbj207X6kTec1QX/kiby5XkbKIaRhAWHVrreY+6fwh/fbmWvAzDNFO2SDz59VTSzl8hNz3fRKZEWUQABFE0fie8KqpXZfkXfxMTH8X4R0Zd5RM2Y8lnq0wVN1e5m/Xzt/nl/U0d05uvK7SRAsb3RKtRA/UqKtGhQThLnUiyRN6VApKOpRDdMJLWPVv8q/OpQx3qCNX/5Ug5fZkvH//eNAJeSV3c5W72rDhIcV4JIRVjyJVYtvOkqcztqheMwyajVuhFLFbZr92nV4jca8OQ2/pTmF3Ebx/8iaaqjJk6nAfev933/OgHhrLmu03VgnqNlXwl+rRtzNoPpnIpq4CYsCDqRwT7tezAaF+Uu71+j+u6zis/rGX7iWTfDVaWRIIdNha/fjfRYUGm14+eMpTV324g61IOTofFR6aqH2jte1N8/1x38Cx2q8UUcRMbabQeG0SFMu62xvy17Qx4RQjxoidVkQWtgphl5BUTHxNGaWEZXz35ozl2pNzNSyPeZUnW97y3cBOnU/ydmYvLXBSUlnPXR79RWOpE1XRsFpmuzRswa1qVxmRgp2YcOHcZRVUZ3rUl3Vo2JKeojG9W7eGl79cwoGMzPn9kgu+z3H06BanG5yqJArIk4vGqWGSJiJBArq8INr6Ymc87v2wkI6+IDk1jeeOuEX7GqQBFZS7cXoXo0EAEQaCozMUjs5eSkpmPpsOIbi15597RiKLAqZRMLJL0rypuoijQqmE0TeqH17BkuDYkSaRdfD0OJl42Fh0VVThN1xHdCrpgNjcQRIEbHx9DUVYRG3/ZYVgpqBp7Vh7i4Prj9J95B0dTMnGPb49Y7MYiidQf2RVHoJ0eozqz7Y/d1XydrPQY1ZXcojJuff8XSsrdqJrOhsPneGB0L1Iy8ykqdZJVWEp6bnGtFiJRoYFEhgQwonsrWjeKITEtm5iwYBY+Mo/9u87idXm5dCaNhL2J/Hh2NhOmGcRj08Id1BRYCQh+0UmSJKKrGnMOfcyKr9exaaHRPty0cAc7l+3jkc/vq9ViJTDU3MbUNI2F7y5ly2+7cATZefCTu+k2rCNzj37K5l93UVZUTveRnWjRpSmZKdl+iy2rzcLMne/y2dRvuHCkKuHA+D079K8J1b/FncO6ERUayOaj59l58qIfQbdKElOHd+ezW2dybOtpNE1DEARsAVY0VWf4XQN4em7tU4h1qEN11BGq/8tx/kjyNVPZBcFon1WaSFa+VqpBILT4cDreN4AzC3ajeBQ6DGjDi/MfAwyfmbdu/JQz+xJxBNl5eu7DtWq0bnxyLDc+ObbW83jo07sJiQhi57L9BEcG8fCMe0zCVTDczDs1qyqzBzlstI2P4dzl7GqtIIGuLRr47f9QYho7T5l/DBVVo7jcxfd/7+e5mweRnldMWKCdc2k5/L7lKIEPDWCiIlGmafx26bJvKs5ulRnXu6qqcuZSFseTMogIcZBbpBntRgE+eKDqvQ5q3pqNpUeNDL9CGfWC+foqmkZAxWRf3pWCWrPaSgtLKSsqZ9uJJP/puAp8vnQHzmqeV26vwu7TKZS7PARUOKPLksSynSeQRJGVe87Qs3UjTlzM8N3Ej11IJyOviGdvGgRAxyb1EUXRp02SJUO/9dodw9h+MhlJFLl9aFcCbFaKylzc/+kiSpwudB12nkxm2hfLWPhyVStG13Xe/20zK/eeRhIF4mPCmfv0zXz4+2aSMqqiZbYcu0DnZieYPKgzkSH/PnxW13S++GsX7/+++V9ZK1RCEGDnqYvYrTK928Qzokcr3lmwEZdXQYkJQqjWMhQEgehGUUTEhvPcD9MQJJF1P25BUzU0VUP1KmzadhJ3oAyCgBZqx42hdQJ44quplBc72bPiIJIsMvjW/vQa25UFmw5T6vT4Pj+XR+GblXsMQ89rBBjGRoSw8OUq/6X4mDDiY8IoKSjl5I4En35RUzVc5W5O7Uzw+VP1ndCDH1751QiK9qrYAmxMmDaS9fO3UZxb4juGqqg07dSYhq3iaNOrJet+3OKb/HOXe/j2uZ8pLy7n9w+XoykaI+8dxCMz7/MLVZ8//Q/+nL3Wt3h644aP+Hz7O7Tq3pzrHzYTsnqNo+k1thsH1x3FXe7B5rDStndLGrWJIywm1NRKFyWRiPph//rznvzceL6vFqljD7Ax6r7Btb52VI/WDO3Sgj5PfmF63CJL3DeyByWrT3JyZ4KPhOroOEtcAGz+dSfD7x5Eh/5t/vW51eH/TdQRqv/LERMf5ZehVwmL3ULbXi3Zvng337/0K16PQtehHZi+5DkeGN2L2ct34vIoiIKA3WrhmdfvInbOoxXu4lU/km/fNIOzBy6gazrlxU4+mzKHRq3jahXXXg2SJHHn6zdz5+v/mU3Dl4/fyJs/r+PExUxiwgJ5655RRIX633xzikprHXJSNZ2UrALGvvYDLo8Xd0VrobKNeMAi89UTN9KupD1frtiNx6Mwvm97HhrbBzC8m574cjkur9EOsFpknpo0kGFdWxAW5PAdZ2BMW+5pOogfkraghakE1pdwZwu+4wXareSXlBMVGki9xtG1xp7IVgsBIQ4cVpkyl/+4vqbrXMoq8HsczJXDV380+0LtTbgE6L6buNOjsGjrMZ6ZNBBBEAgJtPPj87fw5s/rycgrpm3jerxzzyh2nEzm9y1HQYAf1x0AoF54EF5F9WmTFFUjKSOPTYfPk1NcStP6keQWlfL3gYSKClBlRWsDiWm5fvqlE8kZTOjXnk1HEn1Vmdp8uMzv1qh+/aeonBx0eRR2nLzIe/eP4asngnjj5/VkCyU4+zTBsSvZ9z0adf8Q33UtzCoyiap1HeRCJ9bQMB8RlyWRJvUNobY9wEb/G3txYO0RBEFg29K9JOYWEDOxm19cjg5X/RsOC7Sz7sMHfdqzUqcbqyz5/i1Kop8Hmq6bQ50DQwL45sgn/Pb+MnIu59FjdBfGTh3OoFv688ro9/C6vaiKyqOz7vNFMJUXl/tN/rnLPfz85mKfzvLvH7cQFBHMvW/dYnrd+vnb/HIBty/eQ6vu/o7ugiDw+qJnWPPtJhIPJ1GvcRR7Vx5mfNDdyBYJ2SYhIPgWg/WaRFNe4sQeaOP84WTcTg8tuzfDUUuF9IbHx+AIdrBxwXYCgh3c/eZkP/1UdVhkicjgQNMEpSQK9G3XhFkv/GHSf5negyiSnZoLtc8B1aEOPvy3EipBEFKAEgw1sqLreg9BED4FxgMeIAm4X9f1wv/O8/jfjE4D2zHoln5sX7wHURJRvCrNOsbjLvfQrl8reo3rxge3z/Z5R53YcYYZD8zhzaXPEx7s4O8DZwkJsDNlTC/iKlpYNVecZ/YmmsrymqZzcmfCf0SoCrIK2b/mCIIo0Hd8D78W5NWQuDOBNkmF9K0fy/hHRvqmBquj3OWhab2IWr1i7FaZC+k5FJTWfgN2exUWbjrMzEdvYHg3f1uAOSv3+ETtOuDxKhy9kMZNAzr6vXZqi6Hc12wQiq4ij5CZ/O4Cn51AYamTKZ8tZvlb9xEVGshH66fzwrC3jVBpQJAEbvzo9grPqUG888tGU5gxGBl7XZrHcSW/GLdXQdV07FaZwZ2a46iofqmaRnENslHbzVrHEGl/tnQ7208kU1zuQpZEBnRoylv3jCK7sJSPF23187KqzSndo6i8+ct6NE1HEkXiokJMOixF1Th9KYvmsZFk5hebqkpeVeP9Xzex8Uiirwr5f2r5Uy8siFKnm7JaWsOVEEUBl1ehW8uGrH5vCo/1fInEw8m+53Vd5+SOBHjF+HffG3pwdPNJXBVEwRZgZULnFmy2qaTnFiEIAqGBdl68ZYhv+1kPfWuYxMoiRWM7cCXUhuVwoun9S6LoI/c1IVW0Nq0WmeIyF098vZwzl7IBnbuHd+eJidcRGBLAdTf1Ye/Kg7jLPVisMhH1Quk0yOzsHxYdyrRZZif81j2a80f6d+Sm5REaHWLyeuoytIPJ08NilQkIDaAop0pX6S73sGvZPj9CZanhNSdJIlaHlatBkiRfe/LpAa+TfOISuqbjdStYHVa6DO3AkQ3Hcbs9LPr4LzYu2E5EbBjJxy8hSiL2QDtf7HnfZ8NSCUEQGHXfEJOZ5z9h1rQJPDr7TzRdx6uo3Da4CztOJlMogk/lXwOaotK8S5N/fYw6/L+L/4kK1RBd13Or/Xsj8Iqu64ogCB9j/KS99D9wHv8rIQgCz33/KGOmDGXt95vJSskmvm1D7n7zFsJjQo2IGL84lVMAjOzempHd/XP1aiIwJICSajdSySIRGh1yjS3MSL9whcd7v4LXrSAI8P1LC/nmyCdENbi2S/tfX671lewtNgtr521i7tFPfatRr6Ly8vdr2HHS0Fm0jY8mMS3X1Lq7d0QPvl2z75rHuZZpn7PGTVmndg1XJWRRQkbC6fFyOafQ9Pur6zqHE9MY1bM1Hfq3oeWMyRzadBLV7UWNCuKHxGT6X85mdM82xIQFseFwImsPJPjOr2F0GHsq2nuV7++uYd14aFxfsgpKOH0pi4hgB43rhXOpmi+UqmpYZQm14n5gt8iM6tGaF75bzcHEy76qkaJqbD+RzDsLNzCwY/P/KDy4qiKm+sKqq7ctG0SGcsugzuw/m2rabuvxC1gkyVfJ+zcQ/6E9FhJoZ/rdI3h34cZaCaAsiTSrH4FFEvn4jy0kXM7GqSq1tpdSTl9m9qPfkZuWT4NWsaQmpKEqGo3bNWLy42O5PyqYMylZqJpG+yb1fY7zXrfXp2t0dmmAGuYAWcKjaoiCgMNmISzITs9W8aw7eNZHniuvuUWUsFokWsRFkZFXxIwl2zmbmu0jX4u2HaNtfD1GdG/FywueYOnnqzi+/QwNW8Zyz1u3mKw5KrEv4RL7Ei4RFRLIjdd1JNBuxWqzmFrv6+dvZeG7S1G9KkNu68+xLScpzi+j8+B2BEcEsemXHabFVUBUEMlX8ogIDvBVbO9791ZmPfId7nIPoijgCHYwZsqwf/XZnj1wwaTt0lSVE9tP+2JpPC4vOZdzyU3L8z3mKnPz2dRv+GTjG//qGNdCu8b1+fuDqaTmFBJkt/LUnBWk5RahdqlP2MVsBLf/9/ShGff4Knt1qMO18D/e8tN1fUO1f+4D/rMe0f+DEASBjb/sYPvivbjL3Zzafc7I2zs9i/D6YVjtVpOnUmjUvydDAM989zAf3/Ol0UqQRZp2aMTAm/v4nvd6vPz42u8c+PsoEfXDmDbrfpq0b8Tqbzew6psN5FzOpazI6btZeVxefnr9D1746bFrHveHV6v0D163l9y0PBZ/soK7pt+MJEvMXbWHPWcu+W4yF9LzuHdkD+4Z0YNAu7WiArMNKUxBb1+CYNfQs6xoZ4KMLDkMcnH70K6+Y+YXl/PS92s4lXKFsCAHQzq3ICUr30cY7FaZG/r6TzvVhCyJfi1Ir6KanOIPnEvDE1v1WXgUla9X7Obu4d3p1Saebi0b8vSkgZy+ZAi21+w/w4o9p32EUVQ1corKOHI+jWe+WYEoimiaTpcWcWQVlvrIoI4xqNCleRxOt5FtePeI7gx9/hs/rZZHUdlx4iLbjyf7Vciuhpq+ULqm+2mbhnVtgabpBNgsJkIqYLhbw9VJaiVkUaRlwyj6t2/Kkh3HDZPWikpddVxIz+WZb1YyoENTSp2XKKvRqunUNJaPHxzHI7OWcSHDIOD2ttEEJWRgFQQQBGwOKxMfH83T171utL90YyGhqRq6ppN8PIVHur3IvJOf0bm5v++S1W4lvl1DUs+koVSQqUpouo4oCLxz72i6tmjAzQM78eVfuygpdzOqZ2tiw4N5/ed1lDgNb7AVe08jS6LJUsLpUThyIY0R3VshyRK3vjiRW1+ceNVrt3j7cWb9ucPnCbZ05wl+f+0uHNXMTHf/dYAvH//eN/m39Y/d3P/ebdz0tOFBlZ2aw96Vh3CVudA0HT02hCOdYrjn499RVI3Hb+jPXcO7M/yuQYRGhbB+0S72OSBd1Ljti6W8dscwhnVtWev5/f3DZn549Tc/obxskVFqGOOqqmb6wmmqRlpixlXfe3F+Ce/dOpOTOxMIDAngme8e9uUn1oSqaaTmFKJpGhcz88mqsC0h1EHx8NaErD/rS1gACAhx0Kq7v7dVHepQG/67CZUObBAEQQe+1XX9uxrPPwAs+m8+h//1ULwKf/+w2RfmqnpVygrLOfj3UcZMHcaa7zaRnZpjjAPrOn2eHk1+cblpzP3s5WxOJF8hMiSAwZ2bV/hCGRhwUx8atIzl5M4EQqOCuW5Sb+Rq2W8zpnzD7j/343Z6uJyQxtPXvc6tL93Ab+8v9zMKBOMHMDc9z+/x6tB13Rxei0HEFn3yFwfXHeWzbW9z6HyaSYTu8iocPp/Go+P7AfD0Nys4ln4ZBhYiyLoRpOtwERHuQDkSRKnLQ1iwg0B7VTviia+Xcz7d0PpkFZSyfPdJ7hzajfWHzyGKIg+O6c2gzmYtiFdVmbdmPwfPpdIwKoynJg0gKjSQ/u2b+KpnYFSA3ErV+QbYLKaWmqbr7D2TwuHzaUwd05sHRvfCbpXpXhE38+Vfu0yv96oa248nsarCDLISx5Iy/PLrVFWjVcMY+rZrTJN6Edhrye6rRPVJxn+CJBqTcUp1fVEtr9t/NpUXbhniR36CHDaTc/y1YJElereJR1FVbh/SlejQQBZtO0Zieq7pdToGed19OgUhJQ97TilaqB1PkwisFpmZ024gp7CU5MyqeB5XiA3xjh7c3aQRcVGhXHdTH45uPmkQqMpKX7UqmuJVKckv5cfXfqfL4PZ0uK4NkXERHN92mivJWTTr3IR3/nqJZwe9QVlmMd7G4SZSZWT3/cl7941mWLeWfPNUlT/VPR//hqfiWJquU+72+E1R2iwSDSL9LQqyCkr4bctRylweRnRv5YtiqtRLgkGacwrL2HQ4kfHVFgcbf9luslFwl7vZuGC7j1DFxEfz/anP2fbHHrweL99kZlBWbRJ3zqo99GoTT6uG0fQc3ZUfziaRfSEdRdUoLHUy/ad1NIwKpXUjs0/VwfXH+PqpH03HlmQRi91Kiy5NCIsOYf/ao77fA0kWkSTJp2mSLFKthp2VeOfmzzi9+yyKV6Uot5gP75zNF3s/oFmnxqbXOd1eHvx8CRez8hGAwBptSjU8wK/lp3iUWg1O61CH2vDfTaiu03U9XRCEGGCjIAhndV3fASAIwmuAAvxa24aCIDwEPAQQHx9f20v+n4F+FXtsVVFxBNqZc+gj1v22k6+W7MBZP5hfzibxx9spLHjpDuJjwli7P4H3ft1kZNaKAh2a1GfOk5NMpKpZp8amH6DSwjKWfr6KrEs5bPtjt68NoOvGcVd8ta5WMgWG51LlBBLAhaMXWf7FWjRVY9zDI+jQvw2CINBzdFcObzxhIlZet8LFk6ks+nQlDRuGceZSlu8mLUsiDaPCAMNi4OiFdNRGTkRB98lBdBFyj+tQoTPKzC/hvk//4LeX76RhTBhnU7NNl1IUDaHxqnencDW8+v1adp1Owe1VOHnxCpuOJjKiWytyi8pMr9OBmeu3osU6GRXbmUcn9+azXRvwloF+xWjRaLrRPpu7ei+3D+1qqiC0b1KPkxevmEhVYS3ibI9XwWaVoUYbbdnOE6zZdwavqvH85EFMHtiZ5btO4K624pZEo+31b3VMXZrHMbRrS2Ys3nbViTsBQ5QvChAdGkhahX9WSKCdDx4Yw5Nf//WPx6mIa+T3rcdwe40qS2RIIFkFtXulAUi7kgg4k2ksNCQBpWkUj3/3ENmJV0g8nwFuxeQmoAfbGHzfYN8NvzZTz+rwur2s/2krW37bCTp0HdaRI5tOAIZ1QHi9MEryS7FneNDjwnA1CUevpktyexU+W7qds5ez2Xo8iYhgB8/dPIjyGhU1XYe28cZnr+vGvkMC7ew5c4nz6bk8fH1f4iJDyC4s5db3FlLmMqY51+xP4M27RzCqR2s/ewlN1/xa1wHBDj+DWkeQmchF1A9n0tPjKHG6+eyFuabnREHgQkauL7ngSAWZqoSqaxxKTPMjVHtWHDSRKQBHsIMXfnyM3uO64XF7+WzKHA6uO0ZgSACPffEAW//YbUxQSoZQ/Znvrm5bcGpXAqpi1oAe33baj1B9t2afr2IJxt+RKIqIFUkHcogdW/8WaHuTsdgMp/x73r7lH6ULdahDJf5bCZWu6+kV/80WBGE50AvYIQjCfcD1wDD9KuMvFdWs7wB69Ojx/3RypcVqof/EXuxbc9jn2OwsdeGu9MBx2DjtgMIWkUa53KPg9qrMWLKV2dMm8t5vm0ztnRPJV9hxMpkhnWs3rHOWuZjW4yVy0vJqjZsRBKFWd/bKx8dMHcbEJ8YAcO5QEs8NftNHvnYu28e7q16m69COvPrbU8x65Du2Ldpj0m14XF4unb7M0089xOHzaZS6PAhAkMPKkxOvAyo8dXR8rT1dB+1sAHqSA1RzM07XYfZfOymvCDc2nTMQHHB1Q0un22uyOdB0I0NuzYGEWj27sj2FfHB6OXtzEtlVchaxgxcpXUbJsYBSRWBFQaDc5cFhteDxKizbeZJSp4fYyBCu5BUbhocVFceaUDWdO4Z0Y+Gmw7i8ik/PpKk6papx4/p08TY+nDKWP3edRBINTZJcIZD+N2SqV5t4Xr9jGA2jwzhyPg1HjVZe9evnsFm4d0QP7p+xiLzicsAgl6Ig0LJB9FVF2X77EgTcXuMYHkUlv6TcuMa1XAPB6cF+MgNd1Q3OpOkEpBZw6INVzN91FkmWCPJ4YUIHXOEOLLJEfHQYzeOifPvoOboLASEOnNUGGmrmWCoexfc3sHflQdOpZKXk+K5BwIazOAKs5N/SBWxVP6v5JeX8uuUILo9C8hWY8tlixvdpR3pesa/6arfI3Ni/Aw+P60N6bhG7TqWw9fgF9iVcQhQEtp9I4oVbBrPl6AVKnS7f5+f2Kny1Yjeje7ahX7sm7D+b6iMLgiDQp62ZUNz28o3sWn4AV5k5Vqo2BNmt2CwyilpFhDRdJz4m3PfvAJuF4mqLKlmUCA3yn8YLjQpGtkg+TRRAVFwEUQ0jmD1tHjaHlfvfu92X+wfQf2IvcjPycZe7cZW5ybqUS0CwA6vdX/zuCHJQWlhtck8Wax2KOZeWY1qsKJpO05hQ6kcEk3oln8LDKWhHUg2bDE3j9UXP0Of6HrVenzrUoTb8txEqQRACAVHX9ZKK/x8JvCMIwmjgRWCQruvl/13H//8aXl74JLfGTvURKoCvn/iBdn1b0bhtQzLzS0zj2pquk11QarShalQy3F6F2X/u5Lr2TbHUQoz2rz5MYXZRrWRKskgEhAQw5cM7mfngXNxOD4JgVKVm7X6PZh0bm4jGok/+Mo9YOz0sfHcpXYd2xBHk4JWFTxl+R8v2+Y5nCzC8aqJDg1j25r0cOncZBOjZqpHPiynQbmVMrzZsPHEWxVuGlmo1zDZVf5IDkJZTRE6NipIoQMsGhmbn2vBPl9ONWXizOFvSEVuV41IV1l05Bgjo6OgR5gqjKArUCw8mIjgAVdN4ZPYyElKzcXsV7FaZoV1a0K1lAyP8ubb8RJuFaRP60b1VQ7YcOc+59BwSUrNNMS0WWeLNBev9Wog1IYsiejXLBQEY1KUZbYYGsjBrG/31NvRp1pJG0WFczMw39EhWmU5NY2nVMBpJFLmhX3sKSp0+MlWJ4jIXx5PTeXhcX+as2nPNKyzLkt979SpqrYQy0G5FK/MgShK6WrWNKAic3HHGNP4esfUC3pu7ICs6nZvU50p+MY0qMuGKcoopKTB/J2SLRFB4EKpXpTivxPTcNXTyAFhUDbsgUEnP7BYZr6riUao2dHkUFu84jigISKJIdEXrePr8dYiiiCQIKJrmuxaarlPidPPOLxsNrVyNc6gkZY9N6MeRC+l4FCNJ4bEJ/WhcL9z02gatYrnp54fZvvUk4Yg8cu/wq7bSBEHgs4fH88zclUiigFfRuH1IVzo0qRK4v3rHMN76eQOqpiFJIvExYYysZZJ24hNj+Pv7zZQWlqEqKrJVZsDkvjzW62Xf38WquRuYe/RTmlSzPQiLDuG1cR9yZq/Rjg+OCGLWrnf9KkZPznmQz6bMQVVVZItMw9ZxDKimAa1Eu8YxHL2Q5vs9tMgSnZrF8ubdI/ngztls35zoa22risC6H7fUEao6/Ef476xQ1QOWV9xcZeA3XdfXCYJwAbBhtAAB9um6/sh/43n8fwKaqlFeYm7/iJJI4sEkGrdtSL/2TTh0Ps33Q2yzyPRt1wSLLNGyQRSJaTmmbTPzS1i07Rh3De9OTXhcXv9RfAH639CL6IaR3PH6TYTHhBIeE8rfP2zGardy87PX07RjY799eWvxdqmpnXriqymkJqSRlpiBpun0GNnZZyAaaLfSPjqcA2uPsuvoZfrd0JOgMMOn6s27R9B6azT7ki5y7EoaZVdx4RaABlEhpOUWmR4PtNv47tnJvriY6tA03ZhgslkY3LkZu06l+Dks68Cgjs0o1p0cL0hBa1qGEK5Ue76CpNg1pH5FSEci0N0iLeOi+PTh6xEEgRNJGSSm5fj27fIobDp6nicmXsfMZTv934sAEyp0MV2bx/H50u2kZheayJRx/tq/Ep3ruo5a47PenXaBfcmFeDWVlYdOMTC0PS/fNpStxy5wMPEy9cKDeXxCf5rGRrBq3xl+2XSY9Lwiv32rus6L89bQtH4EEcEOispcVzU01TTN77nayFSQ3crnj0xg3f4Etv55AsFT1dXTNB1VMb9nd04J+jc7UWSRdStPsObAWX597U7iY8K5cCwF2SKb8i1FUeTrAx9x6Uwab036tCpqqcIPqvrEqK/NXCFob9Q6jsfuGMY336/HIwkMG9eJ1fsTTJW9yvek6jqyJNC4Xhir9ydU3ORrn4TU9drJMBik9d2FG43pULfHd4w5q/YysntrX4KAruu88O0q9iZcwu1VcVhlAk8k8k63ZpS7PCzbdZLswlJ6tW7EgI4GyerVJp7V7z5A8pV8osMCTdUpMKaIG0aFcfh8GqGBdkb3aO3zz6qOsOhQ5p38nM2/7sRd7qb3uG48fd3rpkWG6lX56vEfmLHlLd9jy79Yy+ndZ32WMK5yN58/OJcP1r5m2v+Q2/oT16I+J7afITQqmMG39cdqq2rnusrdqIrKg2P7cCwpgzMpWSBA45hwnr3ZML8tyCw0fba6plOQ5f+drkMdroX/NkKl63oy0LmWx+uCkf4LsDmsWGyySYugAxGxYQDcMqgLqdmFLNlxHB0Y3LkZ0yYY4u0vH5vIuNd/8AvDTcqoXTjebUQnk3GgIAhIFhFXmYvbX72R8BhDLNtteCe6De9k2vbiyUt89eSP5GcW0mt0F0Y/MJSjW076ztsWYGP8o+ZoieDwIOYc+pisSzlYrLJpBXrpzGWe7PcaqqIhCMZk4NyjnxIeE4okitw5rBt3DuvG9J/W8XfeWdNNWBAM0jR5YCc2HD5nqjPJkki3lg38QphPXrzC89+uIreojNjIED5/ZAIfTBnLjCXbWbH7lJ9vkySJfHLveG7a8RmliuE5JQsiEdYgirzluDXjBu+IEnj4se7c2XSAb9szl7LYffqiXxtSEgU2Z50ivJGMM8lMPgNtNp65eSAAm49eIC2nyI/oBdotfP7IDby1YD1X8s1VlpqoSaZ0wFsooGkq6t5Q1HyZDVxk+9Y0HDYJp0ch+Uoe+xIu0alpLEeTMvAqqp8zfyUUVeN8ei6iYJimtmsQxaWsAlOrCKiVaEkV9gnVnylzeXhk9jJ0dIQJ7QlefxapyIUeZOPWl29kyXt/+mn7BEBQNIScUpxJOfyy6TCts5z8+NrvfoRf03RCIoPoMbIzd02/ifnTjZmZJh0acefrNzHzwbmUFpUT3TCSabPv57f3/yQ7NYdW3ZszYdpo3r/xc2RRQFQ1nGUC904dyE8bDvpy5Kq/F0XVSEjNxiKJVF9jSKKIJAk+4fq14FU11h5IwKtopgqaJAicSc1iUAWh2nvmEttPJPuO7/QobDicyANjevHc3FWk5xbhUVSW7TzBw+P6cO/IngCEBwfQvVomY020a1yv1kBtMLSWp3YlUJBZRMM2caaUBWeZv/6y5iBL8slUH5kCY1F56UzteZCtezSndQ/zMImmacx86Fs2LtgGCHQa1I4vlr9AbrlB7ONjwnw60v4Te3J2//lqPmQ2+t3Q86rvuw51qA11Tun/F2PvqkOs+W4jVruF216+ked/mMaMKXMQRBF06DGys4/QiKLAi7cO4bnJgwyX52qEKDosiH7tGrPn9CWUCj2L3SrTvkntP4RRcRHM3PEunz/4DYmHk9E1HcVjhDG/MOxt5p38vNY4nJy0PJ6+bjrOUie6DtmpuRTmFPPSz0/w6/vL0FSNSU+PY8Tdg/y2FUWR2KZV5+N2ujl3MIkvHvue8mKn73GvW+G395bx2BdmE8NHJ/Rl56lkXBVGmlZZ4ucXb0OWRG5/f6HJiFIUBZrUC+eNu0f6HlM1jY//2MLSnSd9j2XkFfPIrKU8e/NgVu05XWsOXWZBCWHWAN7oeBNzEtdT5HXSMawRD7UYziMH5vkIVbOgGG5vUmW1/NVfu/ht61EEAZzuqnOTJRF7sMS3l9fjjAFSQn1tTLtV5q7h3XwksMTpRtPN5yQI8OGUcbRsEMXsaRN5ZPYyistdfucuigKaTUEIU9BdIhTIVNZ6Ku0nyJdBNT5nt6pU6JuqiNOBc5erXb9r98M03SAQIQF2pk3oz8xqYc1XQ02yB2bXcT3UQdEtVZYYP2RlQKsorCczjL8RRTUxGF0AwaOQvj+JvT/sNJEpSZaQLRKPffkAJQVlvDz6PS4cTaF+sxie+fZhX+7lgEl98Li9FGYX8dmUOeRlFNC8S1Oe+e5hnuz3mkmPdWTTCYbcfh2v3j6MrccvkF9cTkJqdjWdE8RGhJKcbq4eC7rOPcN7smTHcYrLXSaiJAoQFhRAfklVe7U2jy9V0wkPqiJCnyze6q8fFGDHiWQyC0qqpiE9CnNW7eWeET38NIIFJeWcSc0mLNBOu8b1rpr7CbBv9WHevulTn27KYpO547WbuKsiSSEsOsSvAqTr5jzRVt2asnPJXh+pkmSJph3/eUBJ13W2/r6LVXM3kLD/vE+wfnr3Wb59bgHPfOsvcL/h8THkZhSw4su/0dEZ99BwJj8/4R+PVYc6VIdwtUiE/5vQo0cP/dChQ///Po3/UWxbtJsZU+b4Kjv2ABszd72LxSpz7mASkXHhdBve6Zo/atWRX1zOgzOXkJlfjKrpDO7cnPcfGGOa9KuJwxuP887kz0yExuaw8mPCLGLio/1ev+a7jXzzzHzTqlKSJda6frtmHmFNFGQV8mTf1yjKK/blaVVHn+u78+7Kl/0ezykqZfOR87i9Kl2ax9I2vh5/bDvG1yt2m1omdqvMrpmPm4wtv12zl5/WHfSrQAXYLCiq5vc4GBqMcX3akh2fzoHi86AZ1YUvut/PdykbOVmY6ku1t0sW3ul4K2KOnQvpuXy3Zp9pnwIQFuSgbeMYDsUfRbNWROik2eBsICFSAJOv68Ij4/oiVkzqzViyjd+3HqvaR8XbCbRb0XWY+9RNtGoUzYzF21iy44Tp3B12Ge+wK+i6QL+wDCYGpeDJt/HHgR4kNrfiLgDtZKCPUBnQMYfw1vz3v4PdKjN1TG8OJ6ZxJb+YlFrjdqogCgJBDitlLs8/EjcwBOsWt0rAwUuIyfnGY4AuCbhu6Eib1BIuHbpo2iYwNIDZu98jvm1DprR/mvTzmb5BiYAQB/MTv/RVZl3lLu5p8QRFOcVoqoYoicTER5F9OddnbQLGd3/0A0N48OO7CAwNxONVeGjWUi6k5yIIAhZJZNZ9Y3h8ypeUdopFUHV0SSBs10X+2PQO4z5Y6Cforx8exKBOzVm686TpuejQQIpKXaiqoaG6rn0TZky7wff70Ovx2X6kOshh5akbB/DZ0u0m/ZooCOz78knTouxE8hWmfbEMURRQVY3+7Zvy8YPjKCl3U1jmJDYixKfHzM3I576WT5h+B8AgVT+d/YJ6jaM5d/ACj/d+xfS8PdDGe6tf8ZFXVVF5c9KnHNt8ElESCa8fxswd76BpOoXZRTRoUR9HkH+ywpynf+LvHzbjqqUK1qhNA348M8v4HD0KWQUlRIUGmqxV/m+BIAiHdV3/HxNxBbaK1dt/cf//yLEOjvnwf/S9/U+hrkJVC64kZ1GQVUh824Y+vc61oHgVfn5jEfvXHiEyLpxHPr+vVmfdhP3nSTyUREx8FH2u735NMvTbh3+a2nuucjcrv17Hs/MevWZe1dUQERLA4ul3k55bjN0qE1PRCqgNHreXwqxCJIvslxSvqhr2WnK1AGSr7BcKLEqi731mF5Yyd9VesotKGdixGZMH1k4Iv376J3LS8vxMACsR36521+Lo0CAaRofx0rzVvimz8X3aGedUbVcWSfJzCd90+HytpMmrqLXaBVhliUbRYTTvHMjqlPMg6yCBisrTBxZgceAjUwBu1cuMjRspOCyhaRUETdTBpoFLxG618uPztxIVGcDwzUd8lRWpoZuAxvB6x1EMq18Vh7NmfwLLd58ynVPl2qi04kb20vdrWP3eFG4d3IXV+874qnR2q4zatBRkGBqaypuND2EXVfT6MLxdMmnyS/xx7iBZHpmDFxpR5rFSU5QvoqHZdPCIRukHvYK1/DPBcnkU5qzcg6OCrFYX9tutMsEBNnKqTW1puk5IgL1Ci/TPhEp3WJFOpyKmFvrong5IbeoTvDaBVLd/ZSwiLoLG7RqRn1lAZkqO3/f+7P7z9B3fA6/Hy3OD3qIgs7Dq/FSNopxiGrSIJb1CBwgGIdj86052LNvHzB3v0rhtQ75/9hYOnEhm6RuLuXIilTlbkgk9n4WcmI0abEcqKCdYlkk/f8U4h2qX026Vefj6flzXoQkbjiRS6vSgaRoWWeLONs1Y+NZiykNsWJ0Kl/86TfGtQ30mv1GhgWRWa/+KgsDjN1xH33aNEaodxCJLdG/ZgJTMfBLTc4iLDKFL8wa8/P0akxZs9+kUps9fx8YjiciShN0iM/fpm2nZIIqLJ1NNkoFKyBaZ3PR86jWOpkHLWCSLZPL+EkSBvIwqci3JEu+ueIkryVm4nR40VePrJ39kz8pDWO0WBFHgo3Wv06ZXlZmos9TJym/Wm/bre8+i4IuvOXw+jafnrEDTdVRNY/qdwxnXu53fNnWow3+COkJVA9++sICVX6/DYrOg6zofrnuddn38J1eqY+ZD37J98R7cTg8ppy7zVL/X+P70THLT8vj8oW8pzCokqkEElxLSQAdRlugxsjNvLHnuqqSq5g86YPJa+a9AEo1JnGvhyKYTvDXp0wrjSIEGLeqTfv4KbqcHe6CN4XcPumpOX/+Jvfjp9d/xehRUr4o9wMakZwzxdWGpk9vfX0hxhX7hyPk0MvKKeHLiANxexZdVB3A5If2qZEqNC+V4tJWXv1/D7UO6mlysC0qdvDhvtWm1vXLvGQKsFlRV82XjPTiut99+QwPtCDFudI8ARRbQBSRR4N6RPVix57RpQtAqS3zwwBgGdGrGq1uXgmC+yXtkD3G2aC6VV7VyNAUy08rR3AYZFeq7ELtX3OB0AfFYFPUjgrHJMp3DG3OyIBWvriIgIAki3SKqJhFdHoXV+87UOgFYHdmFRixLs9hI5j07mS/+2kWp08OIHi352rscgAfqn8UuVrWgABqpM3ihhYrSVKCg3MHd395MvmxlYscz/L2/HW5FokezNE60suE+GoZeKEOACugGodIFKDRaiPHRYRSUOSmpoWvSdN0XEG2zyLSJj8QiSYzv246ES1ms2HPaV1WUJdHINqzxN3HTgI6s2ZdQq/jecrnQ5HgtANaUfFxXCcDtMcJonTuC7H5/e7qmExhqtM+Wf/E3F0+l+m2vqRpPzZnKpw/MIS893xSb4ipz89rY93nx5yfoNLAdS59ewNkD5/G6FfLS8tF1HQmQioxqrBogsP7HLTguZ1HePAosEmg6MgIDOzUjPMjB0un3sObAWdwehUGdmvHOoLfQUwuorNeUWCTWzNvEHa9MAuDDKWN57Is/EQWDvPZuG8/NAzohigJznprEuws3kl/ipEerhnRt0YB7Pv7dVwkd37e934SsRzE0WIqq4VU0nG4vT835i7XvTyUmPsrvswKjFdeojfH3GhgaQFSDCLIv5fpauJqi0bqnWQclCAJxzeuz9vtNfPXED3gryHDlRPAbN3zMzxe+8sVVuZ1GHE5tvx62ABtPfj0Vj1fhmTkrTAHl7/+6ma4tGhBXi5lqHerwb1FHqKrhxI4zrJ67AY/L6xu9fmvSpyzOmHfVbXRdZ/OvO30EQNd1FK/CpgXb+e2DP32aCrNewMuh9cc4tessHQe0rXW/k54ax5yn5/sEtrYAK+MeGu73uoPrjvLHR3+h6zo3PXP9VSMX/g1KC8t4c9KnuKrpQNIvXOGet28lLz2P1r1aMuS2q0euB4UFMvfop/z2wZ/kZRTQa2xXRt4zGIBtx5Nwery+SoTLo7Bw0xF+33oMVdNoVj+Cr5+YRHRYEG16t+TyuQy/aUCaRlIyojV7LqQDhv7jqydupFuF03hqVgFyjdaiKAp8MGUsu0+lkFdSxrAuLRnWzT8eo/kgOycyS9BEHbItCHk23h00idE92jCqR2umffEnBaVOREHgzbtHMLRrS1buPc32XZfQe1QVEnQdhDKJd/vfwsP75+F0e9EFHT3PgpZa4XdlVxG7lyD4/vp0PD1yee7YAp5vez2fdbuHT86s4Fh+CvUcYbzafiLhVqOieCE9l4dmLaXU6d/OEAXzWH2lPQAYGWZznzL0K+nl+Xy9o2KbWis+xndZlnSig8tZ+9wCfstuyU1Rybw6bI+vEjbgxI1IvauMN3WXABIg6OglMtruMALsVh4d35e3F268KgEUBYGbB3Tmhn5Gq2d415YcPp9OVoFBOCNDAkjPLfY70zX7EwgLslNU7sbl8Zq0RqVDWhK65Bhi5QURrr4g0QXQHQahdwQ5uO3liSz9bDUepwdbgJU2vVvS4bo2AFw8ccn/eylA95Gd6TSoPQsufMWXj81j9bebTC/JupTLa+M+YMjt/TmzN9H0e2FzWNE0DUmW0HV47fen+fzBudizi6DAiadxOGKZhwmdWhAe5EDXdY6uOkz5sYs0bNWApiPCcZY6TcdTvCpl1ap8nZvFsfKdBziTmkVIgJ2OTev7FnOdm8Xx4JjefLN6L6dSMtl67IKptbpy72niIkNIzy3yDX0IgoBYYzFYGePSuG1DbnxyLH/OXuPTqVlsMu+seImQiGDf9h9vmM5r4z7gSlIWtgAbL//yJA1axPp9Ps5Sp4lMVUdBVhE3hN5Dw1axfLTudaIbRdG4fSMuHLno99re47oR26we6blFPi1pJWRZ5OKV/DpCVYf/I9QRqmpIO5fhZxdQmFWE4lVMUSw1UbPNJSCQlnjF33qgGkRJpDDn6i7QY6cOR7bKrJ67AYvNwj1v3kK7vuag48Mbj/P2TTN8WoXEw0m8svCp/zKpykjK9GuFSbJExwFtadu79oyumgiLDmXaTP8+fG3mjpquo1XcWC5k5DHqlXk0jA7l/efGkXziEhdPXELXdeLbNaLfhB6sdZeQl19FTF1ehZ/WH/QRqnrhwXhU89rUq6i0bhjtZ3IIRqSMgIAmaKzMOwCyjghQ34s9DsKbGJqQpvUj6d0mnnWHziEIMG/tfuqFB/Ph71tQvBbEiw5o5gRNQNAEpsSMok1oAyarQ5l/eC+aRzCLvoPUqjZZBXRB50DeBR7YN5fF1z3N251uqfX6Pv/dKgpr3DxlScQqS4zs3orV+xNQVaPZmJpdyC+bDnN3NWuMwympzLiwAqHCI2txTguebnAch3T1iTJRgLvqnfcRlsr76Iiwy2wpbIhblwEdwQpU8tlQBbFrMUEljRjVsw3peUV8vWJPrfTN7VWYuWw7v289ymMT+rHpyHnqhQczsGMzBnVqRlxUKKNf8V/UuDwKhbqL24Z04ZdNR1CrCfS1UDue5lHYknMBAckm02N4Zw6tP+ZPiCSRw2rVIuK+t2+jbe9WJB5KwuPyknkxi0/v/5qJT4ylZfdm7Fi2F4+zah+N2zbkjaVGtVkQBDoN6sCmhTv9NDyuMjebftmBWuM7KkoiLy98kiYd4olqEIE9wEZQWCCF2UU4TmTgOJGBbJWJG2ZITmY9/C1bft+Fq8yNLcDGrj/3039iLzb9sqOagFvk2LbTfDZlDve+extRcRFEhARwXQd/z7Xdpy7y1i8brzokIIsi943swby1+yksc6KqGqN6tmbzkQtU76WHBNh9OqqpH97JoMl9yUjKJLphJG16t/TTUTZoEcv8c1/icXmQLDJzV+/lnVfmYZUlHruhP6N6GL93hTnFSLJUK6ECo4KYnniF167/kHknPufj9dO5r/WTlORXBWdb7Ybz+bu3fEZwvVBTOx7Aq2jERdWRqTr8n6GOUFWDoc0xE4qI2PBrkylBYNJTY1nx9Xrc5W4kWcIeZKd9/9ZsX7r3qtvVVt6uiZH3DPZVeGrD8i/WmoSf7nIPSz9f9R8RKk3TfD900Q0j/cw8FY9CdKN/F73gdro5e+ACkizRplcL03Ub2KkZny7Z9o/7SMsp4snvVrFm61uUZBUhSiJRDSIQBIGdM5dAfpHp9YZxqcL7v25i24kkLJJouEBbZLyqxnOTBxJeY+zbq6q8vWAD6w6dA2B0r9ZQrwaRFERKFeMmu2rfGTYdPY+iaigqpOUW8cnirT6rAO1MECQFIFp1Prl7IkM6Gs4g9QJCIdvm5wgpuCREqXY1kKKp7Mo5x8RGtY9s1/TSEgWB6zo05bmbB9EgKpTjyVdIycoH3SCx36zaQ8em9enSvAELNh/kq6KVYFd9xGdFfjNUBG6KSqK1o5CruB8Y513juVcbHSZMdrO7OJYsTwBuserzFkQQYj2EtzeIR9P6kQTYraY2SxV0isvdFJfn8NScFb5HD5xNRdU1nr1pkF/1rRIur1Lh/l5D4yWKeAY0Q4wLRRAFxtwzmJuGdEV//Af2rTlsTAvKIrrDSln/phQFmmNoeo/thtVuYfqEj3xaxp3L9vPJxukERwSTl55f8UYNQqRrhoYOYPCt/Ti+/TTrftzip+XRNd0v/iUsJoReY7uZvJMe++IB3rrxExSvgiRLhEQGc/3DI8jPLGDjL9t95MJd7ubkzjN8sukNdB12/bkPj9uL6lVJPJhE0tGL7FtzhB/OzPRVhy7nFPLaj39zKauA+HrhhAXarzlxqWgafds1YUK/9mQVlBIcYCPIbsVutbB67xlkSUTTdWY8NN60Xctuza6ZwVcJq93K3NV7fY7yAG8v2EBYkIPebeKJbhiJ1W6pVWReCU3TSTl1meVfrKHToPbM3v0eT/V/HVVR0XUdR6CdfWuO4HF6kGSRsPZxFA1oikWS8KoaU8f2omn9usy+OvyfoY5QVUOH/m0YcFNvtvy2C9kiYXVYeXflS/+43dSP7iK2WT32rzlCZFwEd785maCwAJbMWElmSg5etxerw0pAkJ2ivBJCIoJ49beniWkU9Y/7vhZqVsau9lhtOLLpBB/cMYvivFIato7jvVUvk3kxm9CoEHLT85CsMqIg8MAHdxAV5/9Dk5GUyaUzacQ1r+cT8z7Z9zVK8kvRdZ3YZvWYufNdAoINVUd0aBAWSfpX3joer8r6w+cY0rkFYdWmeG4f0pVTKZm+H127Vea2IV14a8EGNh5O9N1ULbLI1LG9Gdy5Ra2ase/X7mfL0Qs+8fCWIxcIaRdJcZNcX5VDR6dTmFHVOl3tmGCQuKz8UjNPcotYdZlB7atIcs0bJ0CTeuH8/spoll94hyASibK42FYUx595zakk85Ig4vIovPnzOrafSMZmkXlq0nVMuq4TseHBpOdVVTZtFplJ13WkQVQomqZxMTPfdDxV1Xh7wUacHi85zmKE6zRqDlxuLGhEn+BM2gYUXuUTqR0WUeepBid5qsFJ3r7Um42FDVGqi9JF2FWcwJbMU+gBsl+gcyWuNrin6Tq/bT7KszcNok/bxuxLSPUjThZJJCo0iE5N63P6UpZvks1qkXjm1sF8/ucOFK/GooMJ/HXsPAvnPUzHs5eY9efOaia4Em1jwpn1yLd43F7GPDCMjgPasvDdpX5hwr998CdF1SvLOmSmZHN6zznfdJogCDz9zUPc+fpNPNz5eVOlRKnl+3/djb2RLBJZBSUEO2wE2K30GNmZt9e/zs/frsMjwM2PjCIkIpi081f8qjWiJOJ1Kzzz7cM89c2DjHXc4SNyqqLhKnOxf/URRtwzCLdXYcqMxeSXlKPpOgmXsrDIEjUTfion/CySxEdTx1K/goxFhQTw4/qDJFzKomXDaOY9ewulThctG0SbwtivhpJyF5kFpdSPCCbYURX5tHZ/gulvzOVVWHfwLL3bxCNbZG57+Ua+f/lXY6pSFhlx10C2LdmLuwbJ+v7lXxEEgRfmP878xC84tfMsVoeVdybP8Bm4qoqG9Vw20+4dSstRnYiLDPEzLa1DHf4rqCNU1bDks5XsXLbfdxNs1rExzTr7t4pqQhAErn94JNc/bPgaZV/OZfaj84iIDadBq1hi4qPoPrwz/W7oaaoIXQv7Vh9mw8/bCAhxcMsLNxDfpoHfa2565nqObDzh03vZHFZuf/nGf9x3Tloeb974iW/Fl3Yug6eve53yYqev4iXoMObBYb4k+upY9+MWvnriBySLjOpVuOO1SSQdSyE3Pd+nDbl8LoOF7y7loU/uvua5yKLgi3uohNPj5bMl2/lsyXZmT5tI91ZGS29Ilxa8fc8oFmw8hCAYgvFebeJ5du5K083Aq2j8tfsUGw4l0jY+hpMpmVy8kkdMWBAfTh3HvoRLJiGzy6PQujSW5uHBJBSnEWkN5u1Ok4m2GxNSTetHYLPIvlW8KAg0jY2gWWwkaw8kIFVk5H3wwBhfy9TjVVi8/ZhfFarUWYKl6FZuiTSCcAUBugdnE2stZ25mFwJkGwNj2vLh75vZcTIZj6LiUVQ+XbyNuMhQZjw8nodmLUXXdLyqxrjebenfvgkAnyze5nd9varG5ZzCCiIioO8LQxhWUK3apBNrKaNAsaHpXLNCdS082+A4J52NSHOZrRS8msrbJ5ei6RqxA2NI2SKYHKn/CZqu41VVPpw6jld/WMu+hFRUTfOZZHpVjT2nU/hwylhe+G41CanZiKLA9X3asvPkRTyeiilNVUfTvHyzag8fThlLSmaBzwS3c8MYjr28BE+pCyXAyvLsbMJXNsCenut3Pqd2n/Wr4rrrh/DroTMccZVx84BOBAcYAunoBpHM2PIWr437gPzMQhzBdixWC4XZReiSiBZgwaZo6BGBjH/9RwpKnaiaxuMT+jO+bzteXLmd4hDju3Vi0WZKdJUJvdsRXi+MrEvGJKIgCFisMi26Vmvl1Zb/WEE0L2bmU+7x+IippuuIgmB8vys83OwWmc8fnUD7JvUJtFl932ld13n8q+WcvJiJ26uw/2wqB8+l8uPzt17TfqUSGw8n8sbP65El4z29f/8YhnQxqrl2q/lWJAqCz8rgyOaT/PzGIt+wgMVqoUGrOLoMbs/x7WdQvaqvjVv5Wzjzobn8VfCzz5yz5qCBpmkE6P55h3Wow/8J6nyoKuD1eBkffLepRO8IsvPmsufpPsLP8P2qKMot5oF2T1NaUIamaoYz+CMjeXjGPf96H5t+3cGsh7/FXe5BEATsgTbmHP6Ehi2rBJt/ffU33z6/AFVRCQh20Lpnc2554Qa6j+jMkc0n+en13/E4PYyZOowbHhttmibctXw/n97/tclfSpQENNX8XQiLCWVJ5vemx8qKyrgl9kFTXprVYSWmUSRpiVdMr+01tivvr37V9+9PFm/lr92nqipMFpkXbh3M+oOJHE/OQFE1P61VSICNrTMeveo05OYj53mxwibh38AqS/RuG8+e0yk+4a0kCozt1Za37zU7uCem5TB39V6Ky13kF5eTVViKKAhYZYmfXriN+JgwTqdkkl1YSutG0SZB61sLNrD2QILJ+0cQBG7spfDq6PmAufXl0USmZ77GS+1uIMoewrAX51JQ4kSI8iD2KAarTogewE+DHiFCDCb5Sj5hQXbfytrp8TLwma/9fJr8WmWihti7CDFGqWEjpfNE3HEmRV3EIf5zFbE25HssjDszHiOu2P/z0nVQk+1wOhD0f+9L9vurd9K6UYzv3ws2HuKrFburqlGyRP/2TdiXkIrTY3wvrRaJQLuVghKz3qxX60bMfdoQ5yuqhq7rzH74WzbM34omiRTc1tUQqIsiAcl5BGy7gH6NqqqrbT3K+zVFl0UsskhUSCCLXr+bIIc5cNtV7sbmsLJ35SGmv/ATBQONVpggQExkCNnFZT4eZLfK3NC3PX/uPom3mpA+IjiATZ88TG56Hh/d/SXJJy4R26weL//yBI1aVy24PrnvK3Ys3Yu73Jh4CwgN4IO1r3Jo/XGKVIWF+eaQYJtFZuajE9h9OgWPV2V833amzL6Lp1JJOpYCIXbe2LgPV7VtHTYLPz1/K60a+vvSVUd+cTnjXv/B1Fq0W2X+/uBBQgPt7D6dwgvfrvKFfTtsVv547S7iIkP45L6v2Lhgu2l/DVvF8sOZWRzZdJLNC3ewfckeU9VOEAXWexf5fjdmPfqtoTGrqDg6gux8e2wGwRFBfP7gXM7sPUd0oyie+/5RmrT/z21p/jtQ50P1vw91FaoKVC/tV0IQBFO5/t9g918HcZe7fSsid7mbv75cy77Vh8hJy6NJh3jeWPxsrcaYlfjl7SW+89F1HVeZmzXfbeThTw1Sdnz7ab5/eaFvpewqM47XfURnzuxL5I0JH/kqTT+8/CuqopoqTeH1wmpZsflTkqLcYp9zsVdVWbL9OMfPpOJsHYN4PN13y7RYZWKb1yfrUq5vpWhzWGnbxyyi79m6EesOnMWraESFBPDpQ+Po0DSOif06sOd0Cqv3n2Hb8SST83Opy4PT7fWFIteEW1GwWqRa3aJrg0dRUSscuyurVAE2C4/fYJ5evJiZz/2fLvLdoG0WiZsHdmJgx+a0a1zPt3pu36Q+7Ws5ztbjF/yMFANsFh66vg8oP9V6bvtzz5PtLibKHkJogJ0Cbyli7yIEGfRiiYIjVm5cv4CezeJ5774xRIUaHmmJaTks3HzErx1mrRAIm/y1NBHtQBjCsFwEkyeiwJcZnXGpMiPDL9PAVmbQov+gYpXkDkNER6V2siQIIDVzoZXI6Jcqvcz++QD3z1hE45hwcorKaNe4HkF2q1+M0oFzl3F5q0i+x6vi8ZrJlN0qM7x7lQWKKIAoSbjLPUZeXr1gdItEZU+0vFkkaDptsl14yt3kZRT42kaa3YKncTjO65qhV1RwvIpGfomTdYfOcfOATui6Tl5xObYKby2AtsM6UD6qjeHijsFps2pYEmiaTnpeMWqNBY6nIqcwqqLyBcYU7vIv1uIscTH87oF0HdqR575/lJjGURxce5SohpGMnTqMl0a8i9vpMfy4hrXC1jIat2Jk+g3s1JzebeJrrdb8/eNmvn7yR8SKKqy1aSSu66qqYQLUmiBQE2m5RbVG7KTnFhEaaKd/+yZ8+8zNbDiUiN0qM2lAR2IjjAqxPcju1z63OWyIokiPkZ0JrxfKzmX7qvYrS7Tu2dy0CHviy6kEhwexZ8VBQqJCmDbzPmKb1ePJfq9y/shFFI9C/pUCnhkwnfmJX/j8u+pQh/8EdYSqAoGhATRqHUdqQrqPbGiaRrt+rf9hS8MI89iWU3hcHpw1VsRg6CYqqzeJh5J4bshbzE/8AqlGjlwlanow6bpuajOc3n3OtBpTFZWEfecB2DB/q0mo7ip3s+qb9dz09PV43F4+f3AuO5fuRVU1ZKuMJIkgGLl8e1eaq4C6ruN2erDarTz+5XJOJF/B7VUQejTEEhVA8ObzFe9P4dGZ9/HJvV+RXDGZ12VoB2576Qbfvo4nZfDaD3/7SExRuYvNx5Lo0DQOQRDo36Ep4cEOtp9INp1DeJDD5FFVE73bxGOR/z2hAth/7jIbP3qIvWcuIQjQv30TX5umEobPU9Wvv9ursunIeZ69aRA/rj/Isp0nkEWRR8b3ZWwvf+sLu1U2eS/JksgdI7oSFtYFZ248dpLQK1psTlViXUE8Lk3hj5Q9vNP5Fl6+bShPLluEpgvoHlB3hYFXQEfg0LnLTH5nAY9P7E+rhtE8PGupnyWBIBjn0LR+BCeSr5greKqA7pQQHDWvmcC8rA4szm3BzVFJBEsebolOMrUBFQ0UROyi/00032vjjpjzrMlvQr5Su/mrIIDUpRSteTnajnBQjONeCy6PwrmMLIQmLvYpuTiSQ7DIoql643R7a+t0IQhG+yjAbuW2wV3o1DSWjWsO8d3UuRRlFxPbrB63vTKRvSsP4q1lUeFtHcOnyx8iaU8i70yeYVy+YBtFkzqhS6Jfj1RVVYrKXBSWOnl09jIuZuaj6To39u/Ay7cNJTWrwPi+XsVnDYx8yH7tGnMo8bKpmls59VaJK8lZTOv+Es5SF7qus+X3XbTs1ox2fVtx+ys3ct/btwEw/YaPTJE4ARvP0jgylE4396F5XCRjerbhWFIGe06nEBpo54b+HQh22HA73Xz52Pem3xpLYjaWDvXwhgUgiwLRYUG0bPDPWtC4yBC/gGePorLu4Fl2nkxmfN92dGwaS8em/rYJNz09js2/7PC9T5vDyv3v3+57vnnnJrww/3FmPfwt5SVOWvdszlvLXzRfU1liygd3MuWDO32PlRSU+sgUGBVUTdM4tevs/5H9TB3+30UdoaqAIAh8tH460yd8RNKxFGwBNh757J5/FI47S5080edVsi/nIiAgSiKSJCGIArqmY7HJaIrm0zDomk5eRj65afk+196aGP/ISH55Z6nJg2p4tfy7iNhwrDaLL8gTIDTaWFHJVpmaKaxSRaVi7nM/s2vZPl+7zmKTGXHvIEbdNwRdh8MbTuCpNoUVFh2KPcBGQmoWpyp0EwC6LOFpGokcmYFY7qXv+J588/RPdLiuDc//8CiBYYFExoabVogbjyT66ZbW7k/gqRurwoLbNa7Pg2P78O3qvVgkEVESmV0tPqM2RIYE8smD43jsy+VXvaH6Pa7rhAbaGdOrzVX3W2srXIdfNh7mh7/3+2507y3cREiA3W8c/dmbBvH2gg1GC0MSUC0KC5S/WbB5LQFiNx6LFWloKyRQ8rKzKI75WQYpq8zm69UmnrdvHc3bFxbjyRYrPs+KqULdIKQzlmwjwG71I1NWWaJd43oM79aSrIJSLmbm+4UR67kWiKhJ3I3rVazamJ/VFg2BNflNmNFsNzEWF5sKGvJWai90oE9IJh812YtVrLpOI8LTGKqnc0/MWdbmN+aKN5CVeU0p12QkdFo7CjjjjAAExGANRuXh2BOEu8iGotXeJqyE0KocsYUTXYDyxuWE7m+Is1xB0QxjyZrVuervKchh46snbuTVH9eycNNhXOUe5G5xBK8v5kpyJj+9/gcvLXiCBe8v5bRHw2MFDYME927bmPAgB50HtyO2aT3SEjPI7d0Y3VpVyaoORdOZt2YfW4+eJ+lKnuEEn1fG2vlbiSpVmHBzP7w1bBMskogkiUiCgFfVaBdfjwl929OiQRSfLt5GqdPN0C4teHLSAJIycjl6IZ2wIAfnf92Ds8zl+64qHoWEfYmcP5zE9iV7+f7U5wSGBFBaYK6AoUPYlVKevPE6AP4+kMC7Czfh8ipYZYnftx3jpVuGkHAhHXfjCITEbN8no3RpgBoWgFDRSh7apYXPKqESe89cIjEth/iYMAZ3NipFUaGBvHTrED5etBWLLOL2GNfg181HEEWBhZuP8Osrd+CwWpg+fx3n03NpFBPGO/eOJr5FLHMOf8zKOevxOD0Mu3MAHa4zL2IGTe7LoMl9TVmA1ZGSmU/SlTwaRoX62sdWuwW9hsRA13RsATa/7etQh3+DOkJVDa4yF+nnr4Cu4yxxMufpn2jQIpbOg2tr6hhYPGMlGUmZvlWcIAi06tmcyNhw8jIKiG8bx8YFO0zbeN3KNVspt7xwAxabzPqftmEPsvPAe7fTukdz8jML+O2DP8m+nEtEbBj5WUUGd9J0XvjpMQAmTBvNhvnbcJUZoaq2ACt3vzEZgP2rD5uqV163gqpovuiG216ZyO8fLMdiMyJkKiccXR7Fz5/K7rDy/obXWfLKH+xdeRC308Oxrac5sukEXx/4yO9HLcBmMUWMANit/pWn+0f1ZGK/9iSeS+f8plOc+GMf4bf0NQUn14Sq6gTarJRWI4OSKNCxaSzdWzXk102HcXsNcbLNIjGud7t/zEC8vk87Fm07jjOwHDHOjYTIDW16snLPGb9ppNX7z/gRquAAG20bx5BbWkpmRCY0Lke16qBDiQofpXWuUBoJPk8cm2jhpvgqF/eRzTuws+w02wrPU15LpIvbq+JV/LMO4+NCadMohq9X7MHp8SJLhgmjj3SIOmK44iPdug7ooJ13ILZwgoyvbXfeFc7LF/vxVYsdzEjr4nv8cEkMX6R35vlGx3zHFQUQBR1ZULglOgmPLjI56gLvXerGh0334xBVFuc25+srnQGd66NTeGnaMfYkNWD6shG4vBZAqHCe1yt0VoYdgdDIhVB537br6O2LUfc7uMrgoAklTjf3fvIHuq4bb1kW8caG4OxQn4ATVyh0SMw7m4R+Szfuad+En9YfRNd0w0DzQjopmfk0qR/BrN3v8efM1cxPvUzeNSRgHkXlTGo2ALbTVwjcewldhCXbL+A5lc4TE6/jy792I2BYeAzq1IwHx/bl2W9XkFdcztnL2Ux6+2cWvHQ7i16vGurYfjyJV35YCxgaoSC3ipFnYIbiVSktKGX7Xwc4Jquc6x5LWYCOY2cyotOLLcDG0Duu873+s6XbfYsdj6KSXVDCC9+tAgSUAU2xNAwlaMt5dIeFos4VyQS6MQn725Yj3DTAmJQDmP3nThZtP4aialgkiSFdmvPufYaGc2L/DvRr34S0nEK++GsXJ5KNqr2q6TjdXr5bs48TF69wJc/IGy0qc/HAjEWsfOd+GrSI5dHP7/vHz7q2v+vlu07yyeJtPjH8XcO6M21CP2wOGxMeG83f8zbjKndjtVuIa1Gf+B5NeffXTaTlFNKrdSPuHdnTlGtYhzpcDXWEqhqWzFiJs6Rqxecu9zDv5YV8te/Dq25zJSnLVBLXdZ2i7GLfNqf3nGPLb7tMLs2yVaY4r/SqOirD2+p6Jj1VpXsqKSjl0W4vUpRbgqqo2AKs9B7XnT7jutPhujbENjMIR3ybBnyx9wMWf7oCV5mb0Q8MpdeYrgAERwSRnVo1uSRbJCLqh/n+fff0yYydOpyCrEJT8GibRjE4rBacHi+apiNLIjFhQcRFhnJixxlfxcvr9nIlKYtzB5NoX6NVevPAzizefoIylxu1wifqqUkDTK/Zs/IgP7+5CGeJi9z0vIosM4Hf3l/GF3s/uKpYtGF0mF87QZYkvn5yEg6rhet7t2Pmsu3kFpUzoFNTpoz2j56piWaxkTz5cE9mpqxCE4zzWMJWYoLM5yAAgTazvmvrsQu89qPR3hSiPEhNygHQy0RwaAgVv806EGENIi4gHKVYIPJKDGv+TkLsa6NzszguleXQM6I5jbpF8ffFFK5klJnaXGBUN3Sq6aQkndToy6RkX0bxGBorRdWRBKGqcBmooOVZETJs6E4JHBp6kQyFMnp9D0KYuYJSpsl8ntaZIq2qjefWZQ6VxlAbKu9pNkGjnrWcOS13+R67M+Y8i3Ka81TcSXoEZ7O5KI6PXN2RhhQiJwShuiWIcxt6+Uwb2DWk5k5wVDNB1aBgv8WnQ6oJWRKRRRGvqqJqeu3VK4uEGhWEEh1E0ZAW5KYZBCjhcnZVFp8O5W4Ps5fv4vNHxnPgQjr0bcaAxiGsO3TumtE/AqB7VQL3pCBoOoJqXPu132/mjZt7M6ZnK9YcOIuq6ew8dZEjF9IpdXp8n6PL4+WjP7bw+SMTfPt865cNpiqvJksEtI5BSMjyO74OfHfyHJkuNx5FRWwaiRITTPzmC9z85DjGTBnme62zhmGmqun4EixlCW/TSPR6mcgWCbvNYhKlWySJnKJSYiOCySsu57etR/FWPK+oGluOXeC+jDxaVLQFY8KCiAkL8vO90nSd7KJS8orKfYsuTTeI1rm0HLq2qBLdOz1ePvp9C/sSLhERHMCrdwwztQpzikp5/ttVJKRmExpop6jUhaJpPv3WL5sOM7ZXG5rUj+DRz++jdY8WnNx5hthm9Rj10HDu+OQPcovLUFSNkxevkJSRxwdTxl71s65DHSpRR6iqoayo3K/VU117UBs6D27P7uUHfO03i02mw4CqVlJUgwgkWTIRKkEQCK9GZP4Ndi8/QFmx06evcpd72LfqEK//8YzfqqxJ+0a8OP9xv308/uUUXhn9HqpXRZBEgsMDmfTUONNrImPDiYw1e7I4bBbmv3grby3YwKWsAlo3iubNu0eiFJSbjq3ZZDwxQWQVlfoJtWPCglj0+l0s3nGccqeH4d1b0SwkiAvHLhLdOJoNG48x77mf0TIKa0bj4VJUvn/lV+76+gHKXR5aN4oxpcM3rhfOI9f3Ze7qvVhkEUXVePe+0TgqKmCN64Uza9rEf3OZTVievxdNrPKlKldcNO0TwKVLJbg8RpUxwGblnhHmYZV5a/f7bny6U0RNtqMnBhp3WVlH6leIEKJiESV6Rjbnvphh3PPx75xypxg33f0J3H9vJ37J22JUHwSB9sMaclv5AOas3EuZyxBRC4DVIjO6TyuWHjiGLugIzZ1oDV2GgXWKHcqNsk6l15DTo0CJBf2cpeJ9maHnWqAaoRLR6BGUjUuTK7zVqz5v+7+YBpRrFAwEAb5vuZ27EkfgUiUUREAAB9CtDKn66GFjd8U+JJQanl/UUpkSMAw9OzSuR1hwAAfOppoCfU1QVKwlLkqHtjSy8ipQczhD1yG/pIxXf1jLjpMXUVQVURRoEBlKcg3PL9P7lkTUYpffmKVbVXluxhLK46omQt1eFa/qMh1b1XROJl8hLaeQhhURQiU14oZ0YPi0UVz6fgcZSZm4XR40RTPIa4jdR6bAuFyOyCBe2fqmz4akEgM6NmXb8aRaw8HBqHJP/PI+Jg3qxG0f/Goispquc+xCBtNmLzMWEDXqZZIokpieQ4OoUJMWckyPNlzKKjB5yg3v2ooTSeZJYafHy/LdJ02E6tUf/mbvmRQ8ikpOURmPzF7G4tfvpkGF0/njXy4n+UoeqmYMBdSERRbJLCihSX3DMHjYnQMYdqexuNt+PInicpdPaO/yKGw8ksj0u0ZcU8tZhzpAHaEyYfhdA9m76pBvws4WYGPkPYOuuc3oB4Zy/shF1s7bCIJAm96teOKrqb7n6zWO5pYXJ7JkxgpESURTNe6afrMfafkneD2KnxiotgDSxLQc5q8/iNurMOm6jvSv1opq2qER05c8S8K+8xxYe5Sy4nJmPfodT3w1lfCY0IrjeLmSnE1QWAAR9avOMS4ylO+emWw6lh4cQNNOjUk6dpHyqEBKRrVBAF5du5sHNC+39WlPQXYR9ZtEY3PYqBcezBM3GK2GxTNWMH36ImSrhNOjUDqqDe5RrZHzyghZfQah2nvTgL3BAltnLEISRSyyxI/P30rjelXnd+/IHgzr2oIr+SU0qR9OdGjQv762uq5TorhwSBYs1dy+nYp58lNFJyTEyrxnJrP2QAJWWWLSgE6mzDyoiNmRNXBo4BTRzwVWRM0AKqj7QwkaVUKsEElPdzs+W7rddON3eRV+uLIRTa66BqcKLzOpY2+WvXEvr/30N4lpOQTZbeQWl7F671l0j4jQoRSpibEA0DUBbJqPUMmSYLJPMETrRmi070Yq6OiJAWhOieCOKm7Bg6LDn3ktar1uya4QTpZF0DHw6sSiJgTApcuUqrVPbdYGRVfNskCb5tfnqnStVzWNY8nmm3J1yJKILIk0jgojKDqKo4WF/k721Y5lt8q0b1yPv/acrqpIqXApu4AAm8WPsFlkCUVRjcqIpqPLoimkGU3HGWoarzTOXxCQJMFUaS0odXLre79w6+AuaLpOfHQYablFpqm6CeN6En//CDRF47vXf2NVdjauEBux0WFoReYJZUNfVPXvvOIyisvdvHrHMCRJZPepiwTYrDg9XorLXb7L4vIoLNp1gmV7T/HK7UP5eNFWXB5Db/XgmN7MXbPXd230GhS9zOXhvV838d6vm0y+U3eP6E65x8vSHScQRYEpo3txy6DOHL2QzvqKBINKbDiUyL0jetA8LgpN09l5KtlEPjVNZ2/CJW4e0Amn2+sjU1eDomo0j43Eq6qkZhVgt1qIiwxBqN4WN8HfoLcOdagNdT5UNbDxl+0seGsxikdh7IPDufP1m/6VEafb6UbxKARWjLLXxLlDSaSdyyC+bYN/FcdQEzlpeUxt/wzOUqehjXJYGXBzH176+Qnfa86n53LfJ3/4Rv3tFpm37x3FiO6tWDNvI18/+ROyRcJV7jbGoBUV2SIREx/FvFMzybmcy3OD36S82IniVZjw6Cge+QfdQnmJk7nPzec3vRxNrrpOQaczCTyQisUmI8kSH62fTusehot40vEUnur/msmqQrNKFNzXC1QNx7F0Ag6n+Z5TOjegrG8TFF8wK7RvXJ8FL1VN+lSHruss23mSbSeSiAoJ4OHr+/pGsGsi21XE4wd/JK3cIAWPtRrFnU0N0vdN4gZ+T9mNS6uwThAtzOx+Dz0irx0Z9Om2dSwp3WnckAQd7Ugw+hXz1NtLdw9k9qI9iKKA26PUuAHoSBNyzTo7FcIv1+OPux4iPMhBidPNyJe+M7dORB1peD6CQ0P3CqgbIkAREQR4ZtJAurZowIvz1pBdWErT+uF8PHUcP60/yIbDib6RfJ9buygQOKGIcv3qcR8A4yOSea7hMZyaTJjkMZ+zGAeWtuDeSmVJSdMNZ/Y3U/+57XotaNkWxEMRyIKIx6siS+JVKyyVJKptfAxP3TiAQLuVxjERjHltnl8FQxAgIiiAglInsiRy88BO9G7bmFd/WENZNe81m0VCUTTUGr+f1Y1qLZKIkFNC4OozCC4FXRYoHd4ab7z/YirAZqFbywbsPp3iN0RRSfBsFokgu428EuOcRVHAXs1w1mGzUO7yoOlV1TpJFPAoKlZZolF0GL+9eicWWWLmsh38se0YFkkkwGZl3rOTfQuU1OwCnp27iouZeaZzEQTo0iyOec/eQlG5i9AAO1+v3M1P6w+azlesCE5WNXNint0qs/rdKdd0VL+UVcAt7y4wEcsgh5WPpo6jX7sm6LpO36e+NCUuOKwWXrljKNf3boeqafR78kvT9jaLjCgaWktRFPho6jjaxsfwQKVjvKZxXfumfPTgOJxuL5Peml9hsmpIE/q0bczMRyfwP406H6r/fahT2tXAiLsH8fP5L7n1pYmcO3CBr574gYKswn/czuawXZVMAbTu0Zxhdw74L5EpMHL2Zu1+j85DOtC4XUNueHw0z857xPSaBWv3+8gUGJWOeWv3c/lcOt88PR+v22uMHmu6r3WoeFWyL+eSfDyFd27+jPwrhThLXXjdCmvmbWL/msMA5GcWcCU5yy/YNSDYwf2f34dkq6rsSLmlWPeloHgUnCUuSgvKeH3cB75VXmpCOmINkaegaAhuBWQJJSIQySLhCLITFB5I0yHtfGQKjILC5ZzCq64a56zcw+fLthveVvsSuOODX8mvpfQP8NLRX0kty0XRVRRd5dvzGzmSb1g33N6kP8PrdyTCGkQDRwRvdrzpH8lUqeJilXcvyDqCRUeQQepWYlRVKmCRJD75ZQcuj0K5y1vLalqAQtnU1tJ1KEj18v6vmwDIyi/xO7YgAWUSultA3RsKiujb9nhyBrnFZRSUliOJAjlFZZS5vbxz32ieunFARaumig2pdoVy9dpkSgAuOCMZdmIi40+N45bTo8j2GNUXXQiEkPdByaT6G9F0gdnpna65338DMcZLcCsNr6Kg6fpVyRQYlVyvojKwQzM6NYvD5VEY+cq3tbaDBCCvIpZFFAWGdW1JVn6JiUyBEQRcy5yAyfXfq2qENYuh4O4eFNzbk4L7e5vIlCBAWJCDNo1i+PH5W/nisRsZ2sW/Gli5R7dXpaDM6XMV1zSdcrfx/VE1nVKnx1eF1AGHVWZ4t5b0ahPP5IGd+emFW7HIErtPXWTpjhN4FZVyt5e8kjKe/26V73hJGXl0aR5HqwZmjaeuw9GkDG597xcKSsoRRYGokEBsFvOUX4OoUBa+coefd5wsilzKLkDXdTYcPsc3q/bw94GzpmpTXGQIjhqaREXVaBEXVXHNBB4Z19d3DSyySESwg6GdjesmiSLPTh6E3SIjSyIOq4WOTeuzdcajrHrvAbZ/Po2BHZvx5s8byMwvxun24vaq7D6Twl+7TxHksLHwlTsZ2rUl7RrX49bBnfl4ap1+qg7/DnUtv1rwzdM/8fePW31hx3tWHOSH0zNrJUyappGXUYA90EZw+LXbTKqisvnXneRczqNN7xYmB3a3081fX/5N+oVMOl7XluF3D/TTRjXtEM+nm970/ftUSibrD57DZpXpFRHO1iV7oLnZ5kHVNFJOXa61PVgJxaOy5PtNpJ5LN5EUj8tL0vEUtvyxm51L9yFKAvWbxDBj61uERVdpQEID7DjSCrEfTMUbH4a3fgjO9vVxnLyCUPFjWVJQRnmJk8CQABq2ivUzFtUlEd0mI+nQtlE0z2y43ZeNtmZ/Aud+22TofzBWwC6PQo/HZhEZEsinD15P5+Zxvn1VD1nVdB2Xx8vmo+eZPKgzNZFYfMWUPK/oKqeL0ijxuph+3GgxKprK023GMjy2diKgahqSKKJpOgcuXfQTJgmIiEEqkipDhTXBP9WF1QMhSH2KIUQBDbTjQegFEmfFbHRd56sVu/2EvVYsLB7zNC99u5azBdmm53acSGbnqYu+lb1HUXn8yz/Z8NFDRlWpep9L1pAG5v+j56aISEJJKFqeFe1QMBcVgYlBDfnt3mXUCy8hLeMZmjuKTVZNsqhzZ71EvrvSHl0HDxL/xtyzJnQPFCTooP3ztjqGJunbtftoEx/DS9+vpbjcrI20yBLouqmy4fIofLt6L8eTM8zvWxD46olJ3PreL9c8roCRYVlU5sZd7W9ZFkVEUVTTccoAAQAASURBVODOYd24oV97GkWHcSmrgAnTf/QLv/Z/M/o1xfDV4VU19p9NJb+4nPNpOQzp0pxuLRtyPiPXZN2g60ZlCGD++oN8t3YfLo/hWF7DgQWA5Ct5TP1sMavfm8LE/h1YuvMEmfklaBUtxel3DScmLMjPHsKrqsRGhPDur5tYf/AsTo+Cw2ph+4kkPpwy1ojRkSXmPHkjT3z1F6UuD5Io8OGUsew4kczy3SexWy1MG9+P9+8fw94zl4gOC+S2IV195E3TdFxuLw2jQ9GBG/q157bBXbmcU0hmfgnN4yKJCQsiKSPXtJBxeRQSKiYzY8KC+HiqWVtahzr8G9QRqhpQVZVVczf4ROSqolJWXM6+1Ud8wsVK5GcW8PzQt41cLUVl3MMjeGz2A7WO7iqKyvND3iTpWApupweb3codr03i9lcmoXgVnhkwnUtn0vC4vGz5bRdnD5w3abFqYs+ZFJ6fWxXVsHz5SWRdh/hwn8hW0nQK1xzn/ff/9jMLrYltqw6Cw4JYbeLHareQfSmX3csP+BzQ085f4fMH5/LOX1Wh0bv/OkDAhnMU9IrH3SIKLBLOqEC8jcMJWXUaQQd7oM0XlBzbtgGhQ9qQte4UgmSwC8/17bFZLXRv2ZCZ0yZgqWZ6OrZXGw6eu8y6g2eRRBG3V/GRidyiMh778k9WvfsA4cFGK6Fm5UrX8WvNVCLcFkS2q+omZhFlgmUH048vMlp9FffX90/9SY/I5kTZgn2vTUzL4ZlvVpCZX0J4sIOYsGAu5ueiDvFCtUW7LmhoZSKSDqGBdnKvUi0z6ZddEsLOSBB1FK8xHC8IUFDi5PrXfyC3hrs2wGt3DKNRZDifPnQ946f/6Pd8zW+lV9XILChlWLeWfL1yt68KI4QrRrXrH7iK6tHRPCLawRBQjRd7Si088vN4Okw8zyfN9tXwvZTwahoXXSHoCOgYJfJ/4XxQy8EFBNGY+PvXm6g6B85e9k2hVcIqS4zt1ZYzqVkkpuWYnisoKfczjZUkkd+3Hqn1GGb9lYXX7xrOl3/t5nBiGqIgEBkawL0je/L7lqP8sfUov285Spv4GNJzi2r9TKtDlkTCAu2UOD1+ZLombBYJVdN8VbiCUidPfv0Xq959gPiYcCySZNJi1Q8PRtd1vl2zz7dvVdMrFgrm1p2O8d25kJFHp2ax/PrKnWw5dp5yl4eereN9rcOXbzX0VhZJxKtqPHXjdejorN2f4KsoOj1eth1P4kJGns8gtF3j+mz8+GGKypyEBNpZtO0YX63Y7SOST3y9nO+emcyrdwyjJmYu286yXScNqxdB4Ls1+7iSV8Kfu04aAyuKxvOTB/kWZ5WwW2RCA+xMfncBWQUltGkUw/sPjPmPtJh1qEMdoaoJvTYjSP9wTYCP7v6SjAuZPrKy/qetdOjfhsG3mmNMsi/n8lT/18hNqxLvusrd/PzWYm56djyndiaQlnjFZz/gLnezZt4mpn50J44gB26nmy+mfc+Bv48SHB7Ik3MeZPbuo75JMlXT0UvdWErdhKw/S3n3RuiyiONsFsKZLP6Nh7gii5QPaEXoqtM4rDK6qtHvhp4oiuozGAVQvSrnD5vdzJfMWIFb13G3iobKVp5sjKVbmkZhyS7lrT9f8BHNl75fw4UmIai3dkEs8yJEBTKyf3taNYjitiFdTWQKjDL/W/eM5LEb+pGUkcez36zAVe0mJwoCK04fQ412EWsPZ3zf9hVO58YknkWWGNypOaqusSv7LAWeMjqFx9MsqB7vdJrMM4d/Bl1AQ6NDaCPahMQhCeaWpCxKpJXn+QiV26vwyKylFJYZlY78Eif5FS75wtEgpK6liIhoaKgng8Al4UWjqMyFVZZqbVHZKqYSJVHAq2jcNrgzJ5KvcDYtB03TcXsVnB4vznz/yTUxQGWFvpMvNi+ncWAUQRESpfnVrpEo+gluVVUjMiQAu1Xmi2kTeWHeGgpLnVjLHOhOJ2qwfxxTdejoUGjBHAookFsayI60eFxNDhIgVZ2DV5f5/MpQNhbY8OgVpB8BSbg64b0aBIdOUKCVErEcqavRUtXzLWhHgsFbu5JBlkWaxUb45UVqus7q/Wf8Xm+zyNSPDOF8Rp7pca+i8veBs36vt8gSkiigKBo6Oq0bRdM8NoovH5tIem4RHkWlcb1wPvhtM2k5hb7vwJlLmcbfcC3nbLfKRAYHUOJ00za+Hm/cPYKX5q0h+UoeOoZDfE0E2CzcO6IH8zceMpEmURRITM9lSOfmDOnSnC1HLyBLIoIg8MlDhkWLUovp6L1jevHT+oOm76yiar44HbtVrjUtYGL/DvRqE8+lrAIaRYfSMDqMC+m5fno3j6LywrerWPjKHb4MRFEUfAukRduOm73fPAor9pwy5Q1WopJMgfG5ur1GZFZ124T3ftuMWGPR27ZxDEt2HPd52R29kM7DM5ey9I17/Tz46lCHq6GOUNWAJEsMnNyXvSsMs0pBFJCtMj1Gd/F77YWjF02VH1eZm7MHk/wI1ds3fUpeRoHf9oIg4Cpz4Sp3I9T4oxUEAY/LiyPIwSf3fc2+VYfwuLwUZhfx+viPUG7sRMjGBES3grt5FN64EOSL+VjSiwhNL/LLvqoJUTQqBJqmgyzi7BWPGhmI+/7e3NalDcP6taNJ+0Ysm7kam8PqMwQVRYEGLc3xEIIgoMuiHxN1BNq5+/3bGTesiy8bS9d1DpxNNcrtwXa0YEOsvXZ/AlusFnaeusg3T91Ua3p9dGgQNln20xy5FC/zUjehFrqxShY6NGvIvSE92HEimYjgAJ65aSDR4YE8cfBHTheloaOj6/Bup1sYVK8dg2LasSnzJJIgcbHMKPsruvnGomgqp0/n8Pq6zaiqxpCuLa5aJdDTHSh5VsLrWXEWaihF1VqKqkZIoB1N00x6GzBu1IM7NWN83/Y0rhdOfEw4mqaz50ISH/62lStZtedKiiLIA4s5VVyIqmsUF5YTNNiBbW0IFiRUTWdgx6bERYXy+9ajRhtT1Xjp1iFsP5HEO79swFNtEs1driLsDEUclodu1dDOBqCn28CiI3UoRYhU0BXQ02zGNGEtbTftbBAfNe7Oq/GHQYe1J1qwYG83MrupYK86lopOkAil/2Ees1208OKU63gncQm6VDGsEONB6FOEutNf9C1LIr1aN2J0zzYs2HSY8+lVfmyqqvmRmeAAG8/fPIgLGbnsPHnR9JwgUGvUUWiAnbziMt++zl7O5q89p7h5QCef9UHl42ZCodVq9CuJAmGBDhZPv8c0sv/j87dy8Nxlyt0e9p1J4c9dp0znHxxg59bBXfh+3X7T/hRVIzI4AEEQePe+0dw/Ko/CMhetGkT5opcGdGzGntMpvvMTRIHr+7Qjt7iMtfvP4vJ6sVssDO7cnCb1zNf54LnLzPpzB+VuL2N6tmHqmN7ERYb4TD8B4mPCCLRb/aYjr+QX8+Vfu3jldv+qk1QLoZH/xaAQGL83oij4lUGrLy4cVgtDOrcgMa3ad0LTuZJfTG5xGTFhdVWqOvw71BGqWvDi/MeYP/0PDq0/TlTDSKbNus9nK1Ad9RpHU1pQ6uMRtgArDVr4r5qSj19Cr3HzFESBuGb1SD+fSUx8FJIs+UiQbJVp2qUJs/7ex6Yj53E6FBzxYdgTjXaE6lXQFh/BUvGj7jiRgbdNDC36tCRpT6JRoq+FTAmigM1uRZREXvn1Kc7sTeTXTYcobhKBGmGsBr2SiKdeMAnlZcR6VSY8Nprdfx3gwtEUREnAFmDjuR8eNe331hcncuHOWZQUu1BDHSCJhkeSVWb8hN4EO6qiHARBwG61UOYyVz90jPL/mUtZHDh7mb7tGtf62YQE2nlwXB9+XHcATdORRAF3vVI8wS5jJF/1cLo4jSl9hvLwuL6+7bZknuJ0URpOteq475xaxuvobM9OQNE1FF3D41b44PRypv//2HvrMDnKtO37d1dV67hLJpOJuxtREiC4u+vCAos7LLosLost7u4BgiSEkIS4u02SmUzG3Vur6v7+qJ6e7ulJwj7P+73Hu7ucxwFHprus77Lrvq7zOs/hZ/Dwlq/RQhyqE+Mm8s/PV4Znv98s3XpQIjQ+FW+FIDs1mfK25jA3RwIt7T7SEt047DYaWjzhRgLdMFm8pZiqxjbeu8PyYdvYVMw9JR/glfF0vV07ZtlZ+U5aXc34zNDMHImBwZM3H0OwQSUtwc2IPjkIIZg1dgBltU30y01HN0wufuKTqGCq4xjdqp3p9jFsKqqkYncgXMcyliejTG6CVg1zazzhul3U5Sag2s68n4dTNDGN5KYAq5f0xTRUVF8DIqLhUcMkQ2vFayQc0FS5O+jSwGv34bTbOs+pAkqqgeZU8fuiz40iBKdMHsra3WUxPKWOQ1fa/KCbmIlO2rx+/v7xAgbnZ8V07mWmJFAesQ0BDC3IYuu+aIFNX0CnqEt2C6Bfbjq7y+vC2SNFEYzu14NtxVUgQNdN4lx2Jg3uxa1nHR6jf6SpSvj+8Ad1vlu5PSz4KoSgzevj4Y/mc+nR4/ngl3Xhz0+YMDgssCmEoG9urK3WI5cfx5OfLWTF9hJSE1zcc/5R9EhP4p7zjqRPThofLViPP6DjsKn4gnpY623H/mpufPmb8P3x7s9rCOoGfz5xEi3tPpLinaiKgt2m8datZ3POIx9GZdeChhkut67bXcavG3YT53Rw1uEjuPL4iTz80S9WxhmrlNodH9I0JUN7ZbN+j8UFVYTAYdNiSrxd4dd11haWxpg8G6b8Q3vqD/xL+COg6gY2u40rn7iIK5+4KOrzku2l1JY1UDCsJ+m5qdz5/vXcMv1+DMPENE0Gje/HcVccEbO9lKxkasuiH6wZPdOoK2/grmMeRg/oHHnRdHat2kPZ7koSU+OxnTyCuWt2WVkQl432qX1QPAHsZc1WsBQRoAndJGFfEy9vfpGWxjbOyrwcs4tTvWbXOPeOU8jqncW4o0eQ3iONw04cy/g/zeC6F2djmJYekWmafLBgHYpQeOun1Xx41/k8vfBBdq8rwu8NMGBsn7CCegcmnzKe+z+7hc9e+pGNbkmrJnDYNc6dMYr4Lp0+Le0+LjpyDO/8vJZAUI/JDAghYgjDkaj2NZMyFM7LHEh8UxLZqQk8XP0JkbkiBUFrF0uWhkBb2CevA+26nz0tlfgigiyJpKS9jqNzRjI2tQ/lngZyXCnc8tz3MZYz8U57iHhrkXcDhhHVseTXdUqqG1FDAaYM7wNafH6GTtdIbHRSuCqIEdp0UDcoLKulrrmdjOR47t/0OT4jCANaoT45zFVy2FT+ef3prNyxn/UVJTQYZVGcJ0Oa5KWm0Ds/Ws18UM9MFCG4/Y3vKa1pinmJhMdBSk4qGMuSX76PDpZMgbm0MzORkRTH2P55zF+/O7qUJgWy2sGun3siHSYYVonP2JKAMq4Zc3scNNtQEgLcdtoS7q2cSJtpw5Qg0YjNGcXis/3LY5otVCF48drTuOGlb6M6XgO6wZwV2zlqzIBYapgpif+1EPu+BhACM85O88nDCLrtbFtTiGt9OZ7x+UibglrcwMQLDufriIDKYdeishvhz20qg/Nj1eSvOXESP67e0TlUpkRTFN689Wx2ldaQk5bIxEH5h7RH+vjX9bz07TJMU4athaSUtPuC/La5iKqGVl654XR2V9TTMz2JCYPyu92Obpj887tlLNy4l+Q4J7edPYMHLjo6apnGVi+vzllBm8+PlPDjmp3UNLfz0nWnAZZWVNey3Be/beLjhRswDBNHqKw8sm8ueRnJnDJ5KF8v2RKelNg1lUE9M5m/rpAH3psX5oZ+uWQTn997MbeddTizl24lKc7FjadPo09OWszveOGbJWzdVxmeTJpScvbhI8jPSOGxT39FVRWCQQO9a8nXlPy2pThEirdMtx02lTOnj4iaDP6BP3Ao/BFQ/U68fscHfPfPuWh2DSNocO/ntzDx+DG8t+dFdq7egzvBxeDD+nerWXX3RzdyzwmPWmU2UzJ82mAK1xXhCXFuAOa9vRBFFegBg7ryBnbv3I8ZFxGM2FQCvVJxVrTginfi8wTCLulgeesBON0OurojC1Vh3FVHcM69Z4bbjTswvHcO8x6/ior6Zm58+RvK61rQTQMwqKhvZvayLZx/xBgGTehPfUs7b/+6nuY2H1OGFvDN8m0s21aMw6Zx0+nT+Mtb13DRE59gBHQ8/iDv/rwGl8PGRUeNBeDb5dt4/NMFoXS95PiJg0NdSO3h+NA0JSP7WB17QVPny/2rKGqrYVhyT4Ym5XHlqtfQTRMBuDUHHwz+C3ltqZS214XtMiSSYUnRatAjkvOJjDhUBP0Tc+gVn4lTtYezHALIdVkBQ6o9njRHAut2l4U7gCLh8QeJc9nRFIsTophmVCDQkSTsLmgJ6Dqb2/dhlrmQujPq2AKGwQcli7kh8VgaAhZRWaTpKGObMdcnIgwF3ZA89MHP1DS14w8G0ew2RFYAqUqcio0J6f0oiIu1Nmpu93Hls1/EqG5HwmHT6JWVgieplXbTR7S6SidfShGCC44Yw2s/rOiGeGidSzWoYdqDnaPSYMOcnxY2ew60qvzt41kMPHY/67wZGKhoEf6GHRCAXWj4pXXN69KkrL0Bo0VBurH8/gw4u+cUxvbvSUqyE29NdFlpydZislISospNQggSiurQShoRhgQkSouP+EV7aD1+CM6tVTiK6nEUWRMiPcnJNxt2Ecm2V0KinF0zlhMG5nPCxCEx47Knsh6HTQsfhwRW7dzPzYrCaVOHx56QbqAbJs99veSAAXFHxic/K5WRfXtEfdfq9bO9pBq3w8bQXtk88dmv/LBqB76Azn7gz//4kk/+egH5mZ2B8+pd+y1dqdBpCQQNVu0owRfQcdo1HDY1xquz1eMPn8WAbnD9S7OZ9/hVuBw2rjt5CluKKimqtHilvbNTue7UqZz98AdR3NA2b4CnvljEks1FqKqCYdYze+kW7jhnZsxv/vK3zTGl2Pfnr+OqEw5jwVNXU9/i4dGPf2H1rtJux0xKidNmxzQtJ4I5K7ZzzLhB3XK1/sAf6A4HDaiEEBdKKT8M/XuKlHJZxHfXSSlf+v/7AP9fwK41e/ju5Xn4vYEwl+jv5zzLN03vkZASz/hjRh10/eHTBvPOjufYsWoPiWnxDJzQj5MTorNfpmFiRjwLhF+HyIDKMFF8QRRV4YUVj3LjlHtpb/ZgGmbIAPlMAOwOGydceRTz3l9EwBNAKgIj3s4P3mYW3P4KQ3plsae8Hk21XoaXHjMep12jT04arZ7ol6w/aLC9xCpjNLZ6OPvvH9DS7scwTb5cstlq/5egGwGe+XIx04f1wd9llvrBL+vok51qCep9+iv+oIE/RJNfuHEPn917Efe9O5cd+6tJTXDz98uOIzs1AVOaXLfmbbY3l+E3deZVbCROc+LROx/SwaDB23sX8c/xV3D3xo/Z1VJJuiOev408h7SIbjyAAYm53DvsNB7d9g0+I0i/xByeGXMxaY54FtdsZ0nNTjRFQRMqZ+UfxqwFD9MS9NE/IZsB+wd0q6BsShk1ZgLCY3JwSFAlZpyBLIkOpkBCUpDZ1atpU7wMTMxhR3M5JhJzdxwYItS1aFJa25ElEehrElB7+TlsYg+O7DeYk/LGhjMcrV4/3y3fRpvPT6LL2W052GnT0E2TCQN7ctjgXhw/ZRDnr3geBuqwNT6UGZNW92LoOlUEvPTdsgO+1AEUKejVM4miprbO3xkl4CRoaHdTX56DnmIdl96F8KKhkB+XTpWvicgOC90wMVYnITKCCJeBWW8DfxzbepXSMLgCauKjxtYwTD5fvDFq2/FOO0flZrNYL+w8IglqvRXIKvXRHZlGqhtpmKB0Nk74AnrM9SGEpZX2+o8rufL4iSzdUszDH/1Cq9dPn+xUzG5cnf/y0td8+9BlMfpNMnSdOe0adpsW2mfwkNeZKcGhRTd4FFc1cPnTn2EYlijp8IJsthRXRmWXgobBok17oyyVbF22A1YgqKrW+J4yZRgfL9wYEhaV2FUVoYgonqEpJeV1zfTrkY7baee9O85jX3UDUkoKslNRFSUqqwjWOf5lXaF1z4e++mb5Vk6YOJihXQKd7hJ6hil5d94arjz+MOKcdqYM683mLr83Eh0TDcM0wkHgL0/+uVtO5x/4A11xqAzVLcCHoX+/CIyJ+O5y4L8ioKosqkbtIkRpObq3h8nWh0J6jzSmnd6Zpk7OTKKxqumAy8ctK6Ll2MGgWr30wm/g3FaFUBR6DuzBaxuf5rMnv6GlrpWJp47H2yuFzxZt5LDBvTjjb2ezsr6BsnXFGIkOfKPyQFPxBXTW7y4P7+O1H1ays7SGkyYNZcrQAsYP7MnizUVRL8j563czcVAv6lvaafP4o8o6kQ90X0CnoiFWQ6euuZ273/oRv27QVdFGSutl8fZt58Sst6O5nJ0tFfhDvCCfGcTX5WFrSJNafwsZzkTePMwSOd3aVMpdGz6i1t9KnjuVp8ZcSJ94yzj6mNxRHJ0zEkOaaBEvxEdGnktxew1tQR8uzc4VK14Nq6Pvaa2iqklHU5WDBg50/LqDvuQkIt+HyPWDT0E2HeD26+HHbwaZW7GR2dNv4/q171DmaUBv0ehWTRIAgVHiZF1FM3fe1z/cpdjq9XPu3z+gvsVD0DAsTliX36EoglvPOpyx/TPJd7+F3/chF68aQENAQS0A02GGSenE6chtVrCqmxIhYjNJkcOg6yYVu/wQW2gLw5QKmkJU2dal2ukXn0WDv51+7hzuHH4yVyx/FU8gACoWKb7RZgmZtmvh/RlS8tWW9fhLVVCidaokscGuzaYydFwBK75cSSA0WZICjGSrrB0YlImt0RO2j1E8AWSXZ0FkMKUoAtO0mh72VTfy/vy17K9pZNHGveHMy97K+hjPQLDuoS3FlUwc3MkfbGjxcO2LX1NUaWXILj92AlefOInCslqS45w0tHnCv0kIS6k9aFh6UAN7ZsQEQve9OzfKVmZzcWXMmCiKwB6xXiCoM6Z/D9IS3QQb2wjqBg6byrCCHD5ftImZo/qSm5bEJ/dcwAe/rKPV62fcgJ48+dmvUdvVDZP0kJbf2sJS3p23FsM0Oe+I0fTNTeezRRtpafdGrdM16wVWRrCyoYWhBdms211GaW0T/XPTOX7CYL74bXPMuEZ2kF5wxBj2Vzcye9kWujkFMfvzBYI0tHpi5BNavX7ue2cuawtLSXQ7ue/CWQfkff6B/x4cKqASB/h3d3//x6L38PwYHSehWATtSNTsr6V4aylZvTIoGNrzoNt8+Ns7uX7SPTFk9Q7YKlpI+maLpaysmzh21+JSFY4439LCyshL47oXrsDjC3Dh4x9TvcwS1usoyOjpDoxZAw96DAHd4Jf1u1m6dR9HjunPAxcdzWVPfcbeyk6+V1A3eOD9eQfdDlgciLH9e7K3oiFmltnm6779XiJJ60YstdzTwMbGfd0GJxpKOIPhVGxMzeg0om4OeLh+7du069Yss8xTz7Wr32TOjDvDHn1CCDQRK8vQEXTNrdgY1VJtImnr0UBicQ9avf4w+fdQsKkKekSJBEAM9KD08yC0kH5Sk2bFR11+Z1iAQAgynUl8NvUmftu+lwed82lu90Ut13WI/LrOQz9+T+oIwYjkfGSRi/oWT7gcFezKOVIE584YxelThyMbLwPPOlY1p1ITMOgo9Sk5AcgJIExBcHnnBEJTBEJRoki/mqpgSsKBt4SDClHabSoF2Rm0ZZjUBVswpIkqFBJtLqa0jOG1OSupVhs43/kJx08Zz8cVSzHjgtCoYe6Ko+tjSFMUvv+8GKl38PxCd4SQqEKJeTn7AzonXX00b7/4A3JfHVIIsCm0z7CUt/2Dsyw7pK2VIAS+wdlwsDZ62clnIvTbF2zYHWUafDDeWtcA6K/v/ERRZX14nffnr6W+pZ0fVu0Ij7sA0pLc3H3eUfztg59p9fgwpSXAeccbP4RtUwJBndKaxpiJ0Ki+OWwrqSaomygC4hx2jhk3ENOUPPbJAr5ZvhWAcQN7MmNkP0prGlm9q5Qt+yrZUlzJK3OW8/Zt5zAgL4O7zu3kkNY0tvLez2utUp1hcuPp00iOd7FudxnXv/RNOHu1aW8Ft5w5nee+XhLtN0msphxYz6QBeRnc/vocFm3ai8Q672dMGxHVQNCB6RF+pooi+OsFR3Hb2TO46PFPKKqsD5+rBJcDfyAYpg5YxyBIjo/1Xrzjje9Zv7s8rDZ/62vf8eFd53fL7foD/z04VEAlD/Dv7v7+j0WvIT258L4zeeuejzs/lJLHLnyeh76+A4AlX63kiUteRLNp6AGd0286gcsfOf+A2xw4vh8Fw3pSvHn/AZfRGjxoDZbFQ0pWMsdcNpOLHzw7apnZy7ZSUd9y8I6zg6Cju+6X9YWcffhITpo0hH9+uyzmxXsw2DSFrJR4/nT8RI6bMIhnv11ERVMzlZVtGBHkeLumYkoZLi/9/dJjw11CHfh033L+WTgXTah4zdhAzKZoIA0UITi3YDKDE3twwbIXqPG10NOdFn4Aq5ik2nz4TZUKTyO94mP5RN0hxR4XU74xNZO3bjubBev3UNPURlFlPev3lCMQxLvseP2BmE657sZP6etFhO44oQBJOopLYnqi5y1yRzxaiuC8ceMRQvDez2t47YeVBEIvIFURYemD7kRMNzXuh+o2FlZvQ7RqBPUUSAmiDGtD2E1kpQNzh2XYLIGbz5iOaTZQ176FOEXHb6rdz5bWJ0K9zcqwxeuYrTaeP/0c7nrrB8DqOBuUn0lhWS0Hu3w0VeGYcQMormqksLSGwtJaMvUkBs6MpyxQT64rlUtSj+S+V+YTNEyChok/oPPj8kJs3uSYgD0SXy7ZjK538rxAItwG00f1pq3WYF1EhhYs4rhXN6ie1R9Zk4PQDfS0uLA4LkLgH56Lf3guvwdCKMguzQ+6YeK02eAginA2TSU/M5na5jY+XbiB4b1zGFqQzbZ9VVEBmC+gM3vp1qhr1O2wcd8Fs7BpKkHdCAclvoDOsm3FNLV5aWj1cNU/voyx0HHaLAVXgeW/JwScPnU4KQluPl24gR9W7wgHoRv3lCOkNUHyBYLh/QR0g2e+XMxrN50Zte0/nziJpDgnb/y4igBWNuzkyUP5+NcNUaVAX1Dnk4UbsWkKkWoKdptGUI8Nxs86fCTr95SzYMOe8GcB0+CL3zaRnhRHTVN7eHzinXYevPiYmG04bBpv3XY2z331G7vKahnUM5MbT5/Gu/PW8PGvGywRUMPkkcuOi9HFk1KyZldpVJZRSks24o+A6r8bhwqoBgkhNmM9nfqG/k3o7/+ZKd2/KZIyEnG47WFD36BfZ+WcdRiGgWmYPHHxixbHCuv7r5//gcPPnkzfkQUH3ObU0yZSurMiilzeAdWm4k5w4U50cdr1x3PajcezbNs+3vtlHfmZyRw5uj9CiKjsw/8GgaDBJU9+iiI4ZHdRJFx2jetOncqpk4fhctjYI0rZ1n+r5Rf4YxIYneURIQSv3nA6UkJBdgppidHZqUpvI/8snIvf1PHTfVbDpqgsOvIBABoD7Zy55FnaQh19bS0+TGky3F3HM32WYVc6DHknACfFbKvMU8+P5RuQSI7NGUWv+AzGp/XF3uLC69TpmDOIbQk8XbSYNbtKEULgdth4/47zGNgzg4Bu8N5vq/hq9UbqK/1h/zwhrNdU5Iuv67AKFbTpTZi/phEMRARGpqCgNp+/DDiGQFDnn98tt16qTkvDSfHZUc0DmAGrEtnDGw4nzHgd0gKohzWHgzl6e1E0ibk5AU1RqPG38Jc1b1PtPQoTwVnpu1GEpWUuEdgVlTw1g7J6gTGmAZHjD5PAFxrrmfvYlbwzbzUfLdjAjpLqmAxBVxw7biBXnzSJM//2PropcdsD3HXk90zsXY7P1Hixciyv7A9iRoR1EqhvbueCI8fwxW+bsKlW237XbE9s9kcwICuLf1x0Btc8/1XMsTS3+zj/kQ+tY04/sBfn74FdU+mdncKuLh1/qhCkJ8VR19xGQDdismSqIjjpsMGU1DTytw9+wTBNFEVwx9kzSU+Ki8rwOjSVQBfxTSnhowXraWj1xkgEdNgc3fLqdzS2eqJmwaoimDS0Nyu2d+pOIa0s2CVHj2P1ztKo7KI/aLBq5/5uZ9KNrbHq/7tKa3hh9tJwqXPB+t1WV2Y3WSe7TY3J/nan8+Z22LjsmPH85cWvY76TUvLwpcfx1txV7K2op3d2Kg9efEy3nLSFm/ayr6qBacP7cO8FR4WfedefOpUTJg6mqrGVvjlpZKUkxOxHCMuUOrK5QREiLEr6B/57caiAKlb+9r8Udqcd0YWYqKgKiqLQWN0c85BRNZWq4poDBlQBX4D68oZuU9queCcnXX00Vzx+Qbhr8OkvFjF76VYCuo5d0/h14x4euew4Jg7qyaeLNhywrGK3qdx25uFUNrTwzry1B/x9HS9+Q4JNE6TEu2j3BQgaRtTzr3d2KmP692BrcRU5aYnceubh9EhPAqwH1ePbvsUf4h+phzVjrEzCjg0k3HvBkYzpnxez7w5UehuxKWqYN9UVNqEyLq1v+OG3qakkavwMaeIQBv/ou4x4NWKq234v0j0eoXaSWIvaqrl8xSv4DKsD7eN9y3h94lUMTMwlfksWjSrgNJGNGjTZWCFKwmPkD+rc+PI3/Pz4Vby3byEfmktRxilo/iDG8iRotuEIdT61tPvD42eWOFB6+6Ka5gyHYZWwAtG3Yl5cGqaUfLpoI4ZpIga2o/T3WLIFErw/RWsICSAzPY624dX4EzpfqkKAMqKVSOF3oQE9fdh3JTHoKBdnLXk2NObWTHx2fV9uzN3K3Ka+VOt5jEntw2lJk7na/Rkix98ZmGkwt3oDVw04kg9/Wf+7AnuHTePCo8ayY39NmOh72ymL+dDowwNbx5Bh83J3z3WU+eIo79kL9na+DJPjXdxy5uGcO3M0ja0e1u0u5bmvl4a/1xSFw0f04bctRVH3Q+G+Ot74cSV9c9NYtTM6I2yYkvL6lqjP7JqK22FDN8wDlqsjkeB2kBTnZOKgfK46/jCO/+ubUUGT3W7jyuMnYEqoaWrlnblrInwpISslganD+jD3nZ+ism+Pf/orb9xyFtc8/1VYo65/j3R8AZ09EV50vkCQ9bvLYgJZh01ldL8eJMc5KauNfkbZVIUrj5/I4Pws1nQZE1VVaPH46ZGeFLaN6UB3wZTTpjFjZD+a2rz8vK6QgG4wfXgfVmwvifLzC+gGizcX8dfzj2TF9pJwoOW0aVx1/GE0tHl46rNF2DTVyoB1UY93OWy8fvOZpCXGYVNjSeJSWt2zL99wBqYpWbGjhLWFpYzokxPVsfjQB/OZv64w/Cw9YeLgKBubPjlp9MlJY9u+Kl78ZimGaXLW9JFRz65bzzqcpz5bhD+oY7dp5KYlctSY/t2Mzh/4d4EQ4mcp5dGHXvLAOGhAJaUsCe0oGei4WgqllIdw8PzPw+RTxvHOfZ+gB3T0gI7D7eCcO05GCEFKZhIOlz1MagXLoqVg2IF5VE9c8hIrv1+L0Y3i8oTjx3Dlk51dgLXNbXz52+Zo/6uNeymqrGfi4F7cfPp0nv1qcbfqzYcP78OZ00eiGybvz18XMzvuDkHd5NQpw7j82Amc/+hH1DW3I5Housn+mkYq6ltIcjuJdzl48P2fOXfGKI4c05+gNAhEBEMiVSfu+BYuyZ3JBQOnYLepvPnTKhZu3ENKvJubz5gWJS6Y706P0YixCRVVKASkzri0vlzRdybfla0lQXNiV2P1irJt7biU6IDMQGFO8Sc0MILTe04k1RHPG7sX4DUC4bW9RoBXCn/muXGXMm5AHlWrWsNGwhBBPFYkCCuzsbxyNx/vW9b5m20QN93DwOr+bEvcjSFUWO6CNitQMbfGg9tAyQ5GUX/cg4ME1zjDM3KnTeP8I0Zz+2vfs3JnCTI5iNrPY/nrhVTB1SQD2aKFj8th03jk0uO4b/9H1Pqjib1KohnDtxIqqMfWsUdY5ZJI+E2VRjGW1yffilCS+XL/Su7c8x70MelK+tKESqO/PSYz5LJrpCfFRXQiWr/rsSuOZ0BeBh5fIFTClHxEH8o88RgolPht3Fo0lZNSiyjO6IN/b+h4gRtOm8oHv6xjf00jo/v14NOFG+mK06cOY0h+Fs/NXhL+TEp47fuV3H72DBw2tdv7pAM90hLRVJWqhpZQI8Wh0erxEwjqHDW6PxnJ8fTKSmVfVUP43JimyZj+eeSmJXHXmz9EZS01VeXG06axfFtxzL2pGyb9eqQz+6FL2by3kjiXnfEDe7JxTzmPfLKA8tpm4lwOvP5A1G8SAgb0yGDcgDyuO3WqxcVLjqeqsTVqvwPyMumbmxadRcXiEmUmx3Pl8RNZtHkvja0eDNPsdtwcNpWTJg3h9GnDOeOh9/D4g5jS5JXvlnP2jJFoqophRma5dB79eAF9e6QR73RgSsn5M0dz+Mi+ABwxsh9Vja08+dmiGFPqAT3SGdLLmhRdeNQ4HnhvXlQQLwTc+tocLjxyLNtLqtmw1yrvSlPy+JUnMH14H/bXNDJv7a7wveYNBPluxTYuPWYcuWlJ4W1tKa7kz899GQ7MF28q4h/XnsLEkJbXaVOGk5+ZwtrCUlLj3Zw0aSgO2x8qRP/m+H28kIPgULIJDuA14FSgGOt+6yWEmA1cLaU89PTtPwSueBevrHuSL5+dQ11ZA+OPHRW2mFE1lUd/vIe7j3sE3a9jmCY3vnoVPfrldLstKSXLZq8KGzBHQgiBOzGaBNnq8cf4X2mqQnO7D8M02dKFZxE+ZoeNM6ePDC/fv0cGO0uj9ZQUIUh0O8KedGC9nDOT43E7bLx5y5nMW1vIR79uoDr0QDZMnZrmNmqaLSuUbSVVBA2DY8cPok9CFkWt1eFAx0+QNyp+ZqO/iB7F+cxZtiOseLypqILP7r0obE2R7kzk/uFn8NCWL1FCKZUnRl/AYen9kVKyrqGIK1a9ipCAEPRyp9M7PpO9reX4TYlT0TkypRS1S+dZ0PTxcWkRZf463t67kAlp/WgJemNm2x2lw1vPnEFlQ2unRY511lCGtiH6hMap0U5ZIFbM0S8C7MzZhS51dEA5wovxXTohUQXMDYkoRzSiOCUmlmbUX6bNoMfobD5ftAlVVbj06PHopsniLXut7JapIptVRFqEN9/EZnI29qGivgWBNWMe07cnr2ZeyZ/e+pjaUj/CYaAe1gL2bnziBAQxuk05OFUHucmnIJRkFldv54WdP1ldjz0sSYHOTQjcmoM97ZW40xTa6zuzmRLw+qMDW4nFt5PSyh4YUoJdUhGIi1FJL/Un01JhEuky/dgnvyKE1YrfoZsUCVVVKK5qZEz/aN0lsAJijy9AfmZKlO1MV9Q0tWGYsluZjIPBHzT4cMF6Jg7uxcs3nM6tr37HztJakuOd/P2y48hNS8LjC7Bgw56oTlnTNLnv3blh0+8OKELQJyeVNbtKWbRxLykJLi48cgzv/byWN35chRbKjh8/fhDfrtgaFezYVJXnrj0lqlz11FUncs0LX4G0ArWC7BRufe07pIS+OakUVzeiGyaqqnDbWYejqQqJcU4+v+8iVm4vob7Fw7NfLg5nlRQhyM9M5qsHLmH9nnJOf+Dd8HcAQUzW7iolNdFNfXN71LPLF9TZW17P9adO5bwjRkeNY0qCm5QEN4cNzo8JqAbmdYqkHjNuIFJK3vhhJcXVjYCVbTQCOu/MW4NNU6Kuj/ve+YlLjxnPnBXbY8qiNk2lxeMnN4L+9O68NTFCvo9/8ivjBubRJzuNMw8fwdj+eYw9SMb9D/zbIUkIcfqBvpRSxtaZu+BQIfW9gA3oKaVsBRBCJAD/BO4L/fdfg4SUeC57+Lxuvxs0oT+fV75BfUUjSRmJuOKc3S7XAVVTYwIqIaxy39m3nxL1ec8My//KG6E9Y0pJvx7pfLRgPb+sL4ya3SrCUiqfMLAn4wZ03vA3nT6Nq7vwSEwpw8rkQggcNpVemSlsL6lm3LXP/a7OA19A5/35azl2/CCeG3sJt67/gF0tnQ9DCayt38ua5nKCgfjwZwHdYOHGPVxwZKcax1E5IxiSlMfGxhL6J2TTPzEnfGx/2/KVpRoewr72Wm4YeByGr4aKti0Mj2tgZlI5dQE7CZpOUCpoQvJB9QD2+xMA60W5vK4Qm1BxKFq4vOhUbRyTbQWfLoeNf15/Ol5/kGPveZ22lBZI0BEFvnDpTEvTWVYba5Abp1k6T34j4mWv0OklFlTQlmUw4fh0UtIcVPuaeH7XjyhC4cKjp/Ln/rMwpeSEv77VWWrVBebKZMSsBoTd+tDl1vjw3vN4a+dCKgMNmBkeTGny8mcraSmSEFQRvT3hjBZYAVD3FrydsCsqI5N7cUyuNRbzKzeHJSRCG0ELZQ17xaUzPXMwT2z/Du84HdYkQaNGSpybBy86mptf+S5q2/6gzk2vfEuvzFSqGlstUq8h0KXSReVdsK9+ALLCER64juulA92VuBUhKMhODQfjXTF/fSEloZcvWBwiS128c5mg0b2v3u/Biu0lTLnxJc46fATv3XFejKludyOvmxJCQrodEFiK9jNH9eWuN3/AF9DRFIVvlm2h3RckoBth8vaXSzaTlujGHzTQDUvhe2hBdpT/nD+o4wvo/P2y43BoKsVVjbzwzZLwM2NPhD2Obpg89MF8RvTJJSslwfK5G2V1PPbJSeWv7/xEQ6uXgXkZPHrF8bz2/Uremrs6xnAaoLKhlU/+egHz1uzi1e9XRHGOfEGdXWWxYrkd6M4tYVtJFZuLKnn8018pqWkkEDQsba4uZuOKImKOp9Ub4I0fV3V73RiGGdMcEzRis3ElNY2U1DTi0FQWb97Lyzec8Ydx8n8WkoAT6V7BQAL/64DqNGCClDLMOJRStgohrgVW8l8WUB0KNruN7AJrFtXW1M7Sr1cRDOhMPGEMmT07S1tCCC649ww+fnQ2fo8fVVOwO+0cf9VRnPKXY8npnRW9XU3ljVvO5roXv6asrhkhrLb0xz/9lRaPL+YhkZ4Ux93nHsG04X2oD7Rx38ZP2dFSgbsuIdTC3KWLLfSnqggmDOzJ0IJsXvt+5b/UxtkatB6Amc4k3p/0F6b+fD/BCINhEwnpftDcKONaEOlBpC7YI8uIlDdbV1/ELevfRxUKQVPn7F6TuH7gcQA0B6OJr35Tpzno4fJe05DNs0F60aXgksKjcStBCpytVATi2OtLoisMaTI+rT+7WioJmEECpsEzO7/np8qNPDnmQtIdCbgcNpxjvHiSWjt5QyHomOxrr2NWzgi+L19niRwKhRsHHsvTO34ILycE0MMHpZaApwBS7XE8Nvls3ij+hQVVW9ClCdLkveLf+Kh4Gc6Ag+a2SIK0Ze4qGzRIC+lyrYnn/PZXaIhvIGAaLK8vZEdTGQs2loezlSIjGJng6TaY6ijgqQjiNCcPjzyHCWkFKL7vkEYVw9we5hMdDPSNz+SDKdcDcMLCx/EZQYQD1KlNKAjO7jucqf16E+eyx4jF6oakpKaxUy7EEOiFcWj9PEhFokqJr9FB+QoHmqIQ7OpqGwFVEdg0FQWBIU0mHp7Fw5Uf06b7cBym4l/rDjcJxDnt7Kmoj8rkKiGyeHVjtOm0w6ahG6aVsVEESXFOvAE9ynuuO5hS4g0E+XzxJtIT47gw5BDQgTinnWnDe7Niewn+oI4SEoGNHFunXePzey8iLyOZGbe+HL63ddOkLWTWHgmbpvLQJcfy3YptFFfWM6JPLtedOiXMM2xq83LJk59S32IJlWYkxTNuQF7UM6O7+3zDnnKOHT8o6rMx/fP46dErAev5c9WzX7B1X1W3wRRAc7uXPz/3FR/ddT4rd+5n1Y6ScBDntGlRGafS2iae/nwR1Y2tTBzci/puSO4NrR6uef7LMP8MiPEEFVjl5kiBYUWxmPkH4pkGdJ1LnvyET/96EdmpVlbvrOkjWbOrrFtivF832FxUyc7SGob0yor5/g/826JESnn5/2YDhwqozMhgqgNSyjbRVdHvvwjeNi+71uzF7rQxcHw/1C7aMY3VTVw95g7amz1IKXnzzg95bunD9B7eK7zM+fecQY/+uaz+aT3puamcccuJJKbGdpR0ID8zmbaQiq+UVolh8aYixg7IiyKOqopgSK8sDh/ZFykl1615i5K2OvRGhZZlWKzzA0A3TJo9fpZv2/c7Sh4RremqpK5nFbU+S2QzYOroMnaGl+hw0TK+FZkWDPOB5ptrOat5DEOS8pBScvuGD6MMjL8oWcnhmUMZkZLPiOR81jUUWQEI4FA0RqUUIJx9kPo10PYilQEnHtNOve6kNHDg8RRCMCqlgOsHHselK14OE+l3tJRz2/oPeHfStTQFPLSmN9Hdld4RGC2o2hJ+IQkJP1Zs4toBR7Ow9ENu6bGWJCXAMrMXz1ROw69rCCHITk3E5bCxrHZXVPbHkCYGJj6pY5hdFNRNgbkhAdwmtKkYukJNqQ9zoDXOPjPIT5Ub0dSscNAgvSoiwQiT4CMTZR0YltiTJt2DTdG4uv9RHJbeF9lwGTK4CQgwzZnACxyBHlGSi/RJ7BqkSSSGNBFC8OSVJ3LTK99YrfwRO7YyKRo2Yb3k5M449EYNkRzE8KrIUicum8rAnpnsLK1BUzv1o3x+q4lAVSzFeDVk+zNtUh6r4jfhDwU9tmyVpKka+spEemUm88SVJ3L+Yx9FBXiKIjh+wiA+XbQpJliaMLAnZXXN5GUkU5CVwueLNsVcA+lJccQ77dS3tNMawZ/0BXR+3bgnJqACeOJPJ/DqnOWsKbRe1nsq6qIiGodNC5fqupL8TSkR3cQug/MzozLRkXju6yVUNbSEnw8V9c3sKnPEZHW6omtnXFdsL6lmZ1ntQeVVDFNSWd/Ctyu28cCFs7j86c9obPNimpKxA/PCBseNrR4uevwT2rx+TCkpqWliQF56lJiuw6aSl55EXXN7t/ty2W34gkGS3E5OmDiY1EQ3r32/Et006ZWZQm1zG23e7hkqprQCs48WrKOyoZVdZTUUZKVyxzkz+OTXDVEZvDAEMULDf+DfHv/rdOMhdaiEECkH2NHvFyr6N0Z9ZSOv3/4BVcXVjDpiGEdfMpNbDr8PX7sfaUp6Dcnj6YUP4gi1zHpavbxz36c017aExUADwKMXPM8bm58Nb9fb7mPDgs0UrtlLW792Vv+4gbLCCtJ7pDHosP68eeeHNFQ0Mv740Vz28LlsKKqM4jmBNUsc3TeXvZX1NLdZrfJ2m8btZ88AoCnYTqmnHgMTs8oZI4OjhEoeHQ90oUBeViI+74EftHZNpSA3mdIe+/Ht1ZCmQOnjxZknWFq7k6FJefSJzyLVHk99IHrmf9fok7lv02dRh2FIk7X1RQxJysNjBKKCKbACn1JPHSNS8nl45Lnctv59tjaVoioK1w08lrFplnqHEn81Mu4q0lq/4JLMj1nRksFmTwaXZO7kiOQyWg0bL1aMYKc3FZA4FI1ZOSNYVbc76uI2pMmO5nJ008BnBFCFGg7gwscUOq6BiT0obq8Nf65jsqlxH8+POoKzncsRWOTw44fvJt4e5J6vjsaUMswNSXPEs6+9JtYg2i4Rvb0oJXGYusRpt2FKE38ACFjBu6YpKPbom1AguOjosXzw8zqLp7bNjUgN4HQEEQLi1SBJip99/gTynW04hMHOFjBC3nn3b/qcF0b0Z4TYDKFj39oej10x0M3OgKrG10xr0EuCzcWZ+Yfx7t5F4cDQodo4JmcUADLdj3JkA3KnDUpcYdVygdUtesLEwfyyvhBfIEhheR1mdWfbeVA3KaluxKaqaKogOyWOEyYOZsGGPVQ2tNDS7iNomuEMxdLqXYjUzisrKA1Eipel/7gbsBTHLzxyDG//tDpMNg8EDT78ZT3jBvZk1Y6ScKbWH9Bp9vj55K8Xct4jH7J2V2lMswRYLgB1ze3d6nzWNLXFfoiVUbr+tGl8uGAdL3+3PKrcmOh2cPvZM7j4iU+obW4nJd5FQ6snzI+yaSq3nTWDZ75cjGlKNFXhuWtOIe4gwc++qoaooCdomFQ3tpLgdtDutRTsddNEEZYXYcdP6aoM3hW+gB4lgHsg+IM6P63ewQkTB/P1g5dSFPIx7JWVEs6irdhhdQNGdtFuKa5Cjdh+r6xUZozsx+biypjnmE1TOOvwEcxeuoV2X4BPF23Ermm8eevZ9M1Jw+Ww8dZPq3hr7uowf7PrPWeYkjkrt+PxB9ENk6qGVvZU1PHP60/ngsc+jslUdZg5/4H/KFz4v93AoQKqJGAdB64p/kejvcXD1aNvp6m2GSTsWruXH99YQEt9K2boIVW0uYSv/vE95919Oq/d/j7fvPgTpmHGKKCXbCtl2/JdDJ1skSnvPfExdqzaTdAXpGR7Gcu/XQOA3WlDDxpI03KOr9hbRUNlI6t6x2ZbTCkZ1a8H584czaqdlnnphIE9afUGeH/+WnRpYLYLcIGwSWSXFIVpN8Bmgjf0snSZrMncyIsjr2Dljn1RIoAp8S6S413UNbfh04PITD9qZmfyst2Af+z4ASEEua4U7hl6Gndt+jhcDri493SOyhnOUzu+ozHQOcu0CZUkuxsAt2on0eaK+l5KSd+Qinmy3c2bh11N0NRRg+vA8xFm0+cI96VgG4GsOwm3sZtLsuCSrB3s8CTT29mKS7WewK/0W8zq1kymJFWhCBuKnkCy/ZgY3S2nakMVCpnORLJdyZR56jEigioZOq455WvDFi8dEEJw76ZPWd14DJowOS+zkMuzdnL4oOKo5SrqW7h18IlcsuxlS1copHKPapUJ7cM8TBrcl4GyFz0ykkhwOrjrrR/RDQNNVUlNdOHv3UobAsMPSrmbdHsSx544iLRUF08v+plz8rZxxuCt7NKTUYVkfHw139T1ZVbqfuLVIAIo9cdz9Z4Z+EwNnxnkl4pljOjROR6JWqDbG92lWi/xy/rMwK3a+aliI0HTYGBiDlua9tMrLp3ndv5I0B5AGRbAaNGgScOmajg1Gw9fegzbSqrZVVobRWYGS4FdImls6+xWbGzz8doPK3ngwlnMHNWPSTe+GLVO0CdxEHseAd79eQ2vzllhlQdVBdUwMELziKBhsmrH/iiFboml8v3bpiJquxCqu0N3jbO1zW2s3112QJmQT36NlTqxayr3vTs3HGRpiiA53k1qgkKi28kd58ykR3oSP6zazq6yWnJSE0g6BFdzRJ8cdpXVRJHWa0NBoCkt2YbzjhjDnvI61u4qxZASjz/Ilc9+zhf3X0xOarS1Vm1zG/e9M5edpbVRwYmiCFLj3eRnJrNlX1UU8Xv7/houeeITPvnrhQzsJgipa2rvtrQWaRmzt6KemaP78tbc1QR1bzj4UhWF1AQ3dc0e2n3B8OfeQJAXZi/h9ZvPAizLnrTEOD7/bROFpbUxcjV2LVrXzDAl9S0efllfSEFWCnsj1OptqsJbt5x9yCzeH/i3w8oDVN5Cov3ykD5zh5JNKPgfHth/BJZ/uzocTIElhdBUE60YEQgFRL99uZIfXpvfrQwCWGW6hZ8uZejkgbTUt7J9RWFY0DPy5g50UTL2ewMs/GQZgRsOj9nm8IJsRvezOppmhNqOiyrrueTJT/EHrYcdahpiWh0i3wd7XeBXOkgzKMNaETkBaLYuAxmn07AqmQvmfILDpnHUmH4kxbkY2y+PHaXVfPHbZnwBnVZvAG2fHQqi2/M7shQlbbXcu/kzTNPEROIQGm2GVWq5a8gp3L/5i5CfnkKuK4VjcqzUvxCCf4y9hOvXvIMhDXRpcFX/IxmUFN21pQVXIRuvAayMnfQtAPcFYOwObcdabrC7KYpg7FAMJidWoQkJBAi0vc3eur3YldxwwCQQ3D30FISw1KPvH34Gd234mKZAO2aonNUBXZroslOSwKnYSLK5+K2hBdBAwhtVQzGkoGlDZwuRYUoueOwjbjxtGsbCVIxUj8WRqrGjDPCg9Q7g0uzcNeM4Mp1JVPuaqfY28cJNJ7NtTw3xTjvHTxhMo9nGQ2u+Zv3cFoygoBKdC7Z8xKln90Mb08pFQzaSbvORj5UtkTiYnFRDus0XGgPo7Wzh4sydvF41DICt7WlEzpX6ONrQIgIVu1D5y8Bjw16IQgjOLZhCrb+VL/avYE9bFQuqtjKvchPekAWQUECd0gwNNiYmD+DhGWewu7yWxz/5NTaYUhVSE1zUNMWWdnwBnU8XbeSY8YPQVCVKCFKWO5ED/djiBLo0sCsatww6gR37q3n9+5UEdOOAgZHVedhZYrOpCiP75lLb3GYJUf4PENRN7njjB06ZPJTPFm3EMCXHTxzM3eceEe7Q64q6lmh2hW5KGts8/PbsX3A5bBimyRkPvUd5XTOGKdlbUc8Vz37OnL9dTmKck/K6ZvaU15GTlsiAPKsD/NqTp7CrtJaNe8ujMlUdQaAp4aslmwnqZlQAY5gmv20uIjXBzY79NfTKSuG4CQO58tkvwvsXAhRFISXBxdBeWdx/4SykhLvf/pE1u0o7t2WY1DS1sW53GZOHFNDY5uX1H1ZQ2dDKoJ6ZfPDLuijVcUUIFEVE8d0kJnXBVj6790I++GUd+6oaSHA7Gd47h+MmDOL+d+fG0BQ6bJqklDw/ewmf/Lqh2xJlotvBzWdM57FPY70H35m3hrOmj6QgO4XtJTUUZKVwz/lHdiv4+Qf+vSGlDJ9UIcQGKeXogy3fHQ4lmzCmy0cSqJNSlna3/H8atvy2s9s8nGpTw4GTalNZ+/MmVv24Hl+7P3bhEIQicIZmk4qqdKsWfLB1Jw7K55cNu8NcErumcMXxE2OWffGbZXh8nVkFxRQk7c2gdWQV6sxGZIkTGRBoOToy1SqX9MupY2JCNa3F8cxtTMRjmOhGgKVb9/H8tafSv3caTy34GZ8WCJecZErggAVnHRPDCIb5NX6p83XpKm4ZMIkZqV7eGX8yK5s82ITK+sZizlv6PL3i0rl76KkMScrjh5l3Ue5pIM0RT7LdImdLsw28XyPNZvAtoCOYsuAD39zYceuqTC7AFjEBsStB+ti30xxMRkNhauYgLu87kx7uVHxGgHp/GzesfQeP7j9oOlZBMCAxl/MLpnL/5s+6HgWf1fandW20hIY/oPPxwvX4WyS0dMpkyP1O1L46QVPny/2rSLHH8c/CedgUFUOa/H3kOUzPGgKAm1QG1PRjQ3Bj6Lqw2sYXLSiFiYJnykbxQK81aMJAlypOWyYFcQLV7Ox0cygmfZyWsKVdaNTpbo7ZeioF9jru77maO0um4TFthFXjheDI7GFRv6Vd9/PJvqXh0qjPDLK9uYzpmYNprG7HZ1olR2cGXDhmIklxTpZv29dtVkIAcU4H0D1XRgsJOmYkxVMRKchpCPy/JmHvHeDUGUM4oc9IRqT04vtV2w/ZiSUlHDdhEN+v3A4IBvfKon9uOi9+uywq02JTFWyaGtWtdjA0tnl47+e14Rf9T6t3kOx2cP1p07j8mPE89cWig/ocWhBhf7/qxrawrANYZ8Q0JTv2V9Pc7ufB9+eFffPOOnwkN58xHadd49WbzqCqoZWT7nu7W26kL6CjdhkjIQTz1xeyo6QGbyCI067xw6rtVDe2du5fgsuh8fClxzJ+QE8e+WQB3y3fipQyVvdMCAzDKtGe/+iH1Ld40A2TZVtj9becdg1FCNo6yv9CYibo/GXjm3w09TpuOn16zG+YNXYAq3buD4+n1bgjqWxoYfm2fXy+eNMB+V4zR/bj5ElDWbypiGXbi6MCdX/Q4JOFG1jxwg3ha+8P/Ffgf1SBO1TJ75luPksVQtiB86SUG/8nO/13wJxX5zHvvYXdflcwpCdlhRUEA0GkKWmpa+12uQ4oisCV4OKkqy0R1oSUeKacNpGVc9bi744oKaxUtmGY2Bw2Trx6FrsDehfF8jR6ZSbz4YL1qEIwa+wA0pPiaGqLtpcwpSQlyUVAsWE6TJSBQRyKDb8p8ZswMaGKx3uvQMNEz1C4ZOhWzn/1bNoDdvwBndm71rFs/0Z8w4OoQmLudiN3xR2UvqciQIioGe+k+EpE3VFIodFHBuiTcR0XbvJT0lZLUBpUeRu5fOWrfDX9Fpyqnb4Jnd0z0mxD1p8CRg0QpNtrXSQC5V0/BJxYfCAFEJjSCHNegqagNmgFMzoWl6s56GFLk2Wv0Tc+C68eXfLqln+BxK3ZOSJ7KPfHmt3jC9owZfTD2ETiT2tHcXuQzSqyxuIPSU2GhUI/3rcUKWWUYOq9mz/j+gHHMa9yIy7VgVmfEPNCUoIqqhAsbM5j984kjkmpZEjKYKZm34Xa8iD4KkPjCAZ2yoP5ZDmSaNW91PlbMZFsCSbx56LTaAq2Y0TUiTWhsrlpP0dlDw9/5jUCllRBRPbOkCbjUvuQ7kjgp4qN2BWNawcczYR0qwU/JcGNrRtitKaqTByUT3FVQ8w4OmwafzrOmkTMGNk3SuzW2qkgsMdBa7LGiLFWA0i91oRX7+JfZ9fCRsRB3eTqEydxydHjuGTWWJ78fBGltc289sPKGMHLI0b3o29OGq9+vyKmzNfddWHREzs/9QV0Fm0u4vrTpnHa1OHEuezMWbGdnaU11LfEdrWB5XTw2CcLuP3sGazcERuEmqbEbtN44P3vrO9CP/WL3zZx3IRBDOqZiRCCnLRERvfrweaiipjAwqapjOyTzdZ91eHgymHT2FJUGV7WF9BZW1gWc3yGKXE7bHy+eCM/Rfj+CQibRKuKwGnXcNpt/OWFr6lrbg8v153QsG6aHDd+ED9u20rQKxEpQZQxrfhM+Gr/Km4cdHzMOsdPGEx9i4cXv1ka8ri0+GMXPv4xg3tmHjBwddo0TjxsCEIIHv/TCfztw5+Zu2ZX1LmXWNmqgwVUvoCOaZp/lAH/y3Gokt/M7j4XQowDXgBipwr/ASjfU8lrt76P2UUnStEUjrpgGre+dS11ZfU8dObTFK4til5GtTJRQhH8+amL2bFqN+4EF6defxxZvTqFWG9/51ou7ncdAb8VlCGszFV2QSYX3n8mL1z7BtJrZXnm/7CWqmMGRt3kRVUNnPXwB+iGiWGYPPXFIhLdDo4a3Z9dZbXhB4htkI+KggakaaIIhTx3Ghf0mspj22cDcEfeelxKqNRhN0gXHk4ds4OPVo5E0xQW29cTNHTQQg/Jfh6ocWDfn4gyojWs4yQQ2BTrRZ7rSqHG10qb7kMiiVMFj/ZehSAYfuuYbS+h6kcSlBZ/ykDiMfxsby5ndEo2GNWgZiGEC3zfglELHCgD6IT4G6H5TiCiJOs8HRxTwPcjlX54ukjnoV5LUUOvOY9p493qTnclj+Fna1NpONOyp7UypvMi0ebGqdqo8XVaediESp/4LGyKxrE5o/ipcmPUOr39vSiyBcLK64oAMbqZ+twgiqEjTZDFLsxdcaiDOjMzSigwjZSfMEyT53f9GA6wNKcbhy0xzJFx2jXiekqaQxFvRSCR9YHhXNXrSsu+xHUG+Dr1oVRMLug9nfFZ8Vy9aWdYkNVE0t5NZq7dH2DB6j0MPSqPd4sW0xRo54jsYfRwpVLSXhteP2Dq/GPnD7x52NXhF2BDi4c/Pfs52/ZVkeh2Eu+y0+YLEAwde3pSHKdOGRYu1URCUxVeuv40UhPcfL10C8N7Z1Pd2BplkNsBf8hQd039Xt6snwd9bLDXDYrEJjR6ZabQ3O4jPyuZW884nP55GbS0+7j8mS9oafd1m8XRNJU7zp7Jhr0VOGy2GIPm3zudTYnvzEYePXYgR48dyMn3vX3A5b3+ID+u3smW4krK6pqjJlVOm8aovrnkpibGHIGqKFTWt0QRp5+9+iTufXcuawvL8PmD2DQFVVVJT4zjmT+fzMKNe1m0eS/piXGccNhgrn3+q4N28TntGsP7ZDO0VzbvdBHClEC800ZGcgIZSXFMGtKLG/45+6Aq9R0IBA1+XLUD0wHqrPqwZImEKCeGrjj78JE8/3WnQr4pJf6AbgV1ocxdBxw2jfzMZK49eTJDCrK4+ZVvWbK1OBwERiLJ7cRp7/5VaZqShz+cz/errOzmxMH5PH3VSQdc/g/8v4suop7JXUU+/08Ie3YLKeVaIcTB20D+jVG2qwLNrkVlj4QiOPUvx3HVUxehKAqZ+RnEp8QOweCJAzj60hmMP3Y0GXlpHHfFkTHLAOxeX4y31ddJXpdWWvyh2bfz5bPfE/TrmIaJaZi0tHqtEmOk+KFhEtSjb/wWj58f1+xkbP88Vu4oAQEyy4seaosxpEGFt5HX9/5CMBQ0xKvRDyibZpAa78Np10hNc9IoqqOe1XZVMPGwXtwx9Tg2+vbw1f7V2FWNy/vMJF5zWgrPCVlUeBp5esccqn3NHJGehl2ZQ3j6DIBGrqOVXV53+BNTSlLNNcjqR0L1OgnJL4DZ2mVdADto/QEVEX8NIJAiGP1e8X2HSHoE4TqRK359lIZAG+ftPJrJCVXoKPzWnEur0TmjNJGYUdpZ0dCEyln5h3F2r0lcvvIVGvyWq73E5KeKjWxvLuOvQ09jQdVWArJzXKsTa/j56dt55/u1/LxhF96kNjw5PgJSgmJxjJR+Ppw5JoH4CJsOM2gFVUBfRxOP915Bpt1LfdDJPfsOY6c3FT3bw+hJBexa24I3oJOa6mR/XglGyE7GRLKtuYxqXzPZrmRoe47oQdKh7Rmc/hR0YxqRwlWGNJmkD2fxihKkkCh9PaBJFm7exzL78wQIYiJZUV/IhQXT+K5sLTX+zjKc1wjwzI7veWXCnwC4/p+zKSyrxTAltaH2d1URpCS4MU3LN+/DX9YhpfXC68jGqIpgWEE2Xn+QC178CEIG3v17pPOXMyfyz9krweiU8Bg63OKr/VixHl+jiWy0gduAxCB6rWB3eR2mlNQ2t3Hxk5/SKzOZyUMLCAT1A8qFdCiHzxjRl8lDe7F06z4CQf1fqgs47Rq3hTpwI5GRHE9Z3YHdvCx5hejWfVURHD1uAPdeMMsSBHbYooIVI2RbE4kEt5Pnrz0VgKqGVpZtK6asrpnB+ZlICSdPHsrJk4cCVkYmNTGOqoaWbrNIbruNm86czqmTh6Eogrwuvn8CGFqQQ0Orh1U798d4KHbAYdMY2TsHm01l2bZ91oeKRM/0otoESq0LM8fiajoUG8fmjgof35s/rWLxpr2kJcVxyxnTyUtPCj82IjFrzAD2lNfT7rMmCJqq8O7t59Inx7pOHnhvHit2lGCaMsbKCiyRUSllt6bxnyzcwLx1u8Il93WFpbww+zfuOOeIbn/vH/h/GidF/Htxl78l/weEPbuFECKL/+Auvx79c8KE8Q44XHaueOz8KM2pSx48m23LduEPadvYHDYK1+1l76Z9vHbb+/zt2zsZefjQbvdRW1YfQ0A3ggY3TrmXHv1zosjtoq4NJWigODVMU6IowppJdaMpZZpmtGXK0mTU6Y2IRGt7Ukrq/J0lyhUtWcxILsepdIQPDnrknsgdZ49i1ogAp6zcRTAi6FAUnWtmTCM7MYFjGc2xuaNpDni4Zf37bGsqRREK1wyYxUW9p/P8uEtD+wwia56NumIUDNLdI3G21OMzgzgUjRGJifTUHwG84WVl0w2Q/DqWYH/HmNgAO+jloA1C2qYgAj91M8oGlmiFE0+IIF0bdPNtgyW1YHWq/X73JIkkXnOSbI/jkyk3srFxH/du+ozWoBe/qbO9uZxr17yFpigEIibiJpK5W7bz6eIN+E0doQRQdBklFiqFxJYko9aTof8ybR7eG7QAFYnH1KgJurk9bwN3F0+iVnczcEQKzUVWiaPC34hmmFEGzKqpsnRbMdnOZEYktbLFm8Xf9o+nRbcz2N3I471XkKo2dbXpQ1Q7Wbm2Bhm0uuXMesvkOtjXgzSDSCXUUaUH+WTrKoZk5UYFVBKoD11rvoDOrtLamIDFCBGvIz8WQFpSHGa7JQ0Q77TjtGvc8sp3UfIFu8vqSBwXRB3WhlHksrK8A9v5Va7ncqZgtAmMJcmhYEuAR0VKEW4CMUyJYeoUltdRXNXQLVE8/FtMya7SGob0yubJK0/k2HvepPYA0gjdQWDZpQzqmcme8jruf29umJR9zYmTuPGVbw8pHBoJ05Qs317CN8u2csa04bx03en85cWvLV0vKbnvwln0zEiOWe+jBet5a+4qdN0ME7+FENg1lffvPC9sdK6pCm/echb3vP0TW4orY6ytctISOXPaiPDffzpuIt+u2EYw9CyUQF1LG3vKu9FwCsFhUzlj2nBuOHUqiqJw2A0vYKoG6uGNEHIEUDSFHFcKiTY31w44muHJlpfe45/+yo+rduAL6ojyWi7ZW8FXD1zCcRMG88u6QnxB3bp2XA5mjR3AUWP6s2jTXgxTMmVoARkRSvJLtxZH+XZ2hU1V2di4j3UNRaTY4zmhx5hwB+nqXaVRmTl/0Oi2NPoH/jUIIXoC7wMdscbrUsrnhRAPAlcCHXo190gpfwytczdwBdaD/wYp5bx/ZZ9Sysv+t8d9KFL6i8QGTqnAZODG/+3O/19F3oBcLnvkPN6+52M0u4ZpmNz72S3Yu9THh0wayHNLH2bu27/i9wZY8NFvBH06wZCH2f0nP8FnlW/gdDui1musaebFa98I61RFwtPipb6iAYfLHs6QOe02jk/LYI1LUt7YSu+cVEb2z+PLJZtjuAHBEH8gDAPMYhfqyLbQnyYqCnoo//J42VhsismUxCoMaSMu5SGOnnQaANI7m2f6ruXmPeMwsSxCrs7ZRr/46O7RBzZ/zo7msnCG543dC+gXn82kjAEACGGD5FeQTVdbK0gdEu7mlqxzyEtcwdamUvrGZ3JhXhKi+cMuV5yKUOIg+Vlky99C2SoP4YyVvhJqRyATHu1C9NdAG4gQTva0VtE3IYtdzRXh320TGv8YewnXrH4jeneSA/LDDGnydelqzu89FYdqI9keR9A0wrNaicV/8ntNjF1xEFAQuX70HgavfrYaf8AAhJUx6Rq9AO1GbHBnIjkxdT8qklJ/PH/ePYOAVDEQJKoBHIqN3r48vq4ttvhELZo1DDKU5AsKPEvieS6wDCEENu1IApNrCLis4GGHJ4VbiqZwbc5W7MIkKDsnDN5dGmYkZ0daA6OohE39pAHGyiSaG22sy69BDBXIkN2NQ7ExOXQN2DUVVRWYeuwkoGtSSGKpin909/mUVDVy06vfsmrn/pjldMOgOeDBVGU4+pQBJRw8JzelgiwhfELNAxP/goaJS1W7LfmAZZVy37vz+OqBS9ANk7rm3x9MdfwmgaCpzctlT38WbhxZW1hKbXMbX913Mac99O4BS2JdrxaJpYP17FeLURXBaVOHM/+JP9PQ6iEpztmtUe+8NTv553fLuuUTeYXgsU9/5aXrTgt/lpWSwKs3ncH0m1+OCajOmTEy6u+mdm9MUHKwYMpp17jvgqM4bkJnyX36sD4sNTcjnaYl/Iv1vOrhTuOl8Z0C1lJK5qzYFs6GWULHOu/NW8P9Fx5F76wUVu3cT25aEn85ZTLxIY3AkybFTm4bWjzdlphFSMXeadeYfGwWN659F7+pY1c0vty/kncnXYtDtdGzS2ZOUUTYm/QP/K+gA7dKKdeH7O7WCSHmh777h5Ty6ciFhRBDgHOBoUAu8IsQYoCU3ShMHwBCiDygQEq5NPT3LUBH5P2xlDKWX9AFh8pQre3ytwTqgVuklAc2YvoPwBk3ncj0MydRW1pHj/45JKV3f5P0G9Wb6164gvULtrDky5UEfRE8Aimp2V9H/qDotv9ls1fHZKcioQcNJp4wlmXfrAZg9FHDaS+po+3HDaSoCg2GyYxv7sSYMoyvlmwhoFtEa7vNatWPbkUX4dqVU7Fxy+ATeWbH9+Gns8/U+Ou+SeGllx99cmdyQy1geFwjc4b+QHkgjjSbjxSbE4Sbva3V3LvpUyq9jfiMYFSq3GcG2dC4LxxQAQjHRMhYCkYZqJkIJQWA8wqmdI6XUYOUXcZFBkHJQdiGIZxHYbY+B+0vxw5a670Q/1dofxGkB2wjEMkv8MyOOXxbuhZVUTDp7D5SBNy14SMIKkgtwr/NBJfmwCtj+VpSQsNOk2s3fkVGUjynzhqM0eV+1aWJuTIJ2WhlRWSlg4GuNDa2dXbWEVQwliehTo+WdTgQZCgz92DJeJoMOzJ0hnSpcmmfaaR4IkrPhsBYmow2vgVbIjiKU2nzKHhCHohCCMTmZJSJVibJQKHQm8ydxZMwu0SS3aWgFSGIb0rEK71IYWLucUGDDUxBoNiG5nSj9PegKIIZmUM4K3MKFfXN5KQmcvMZ03lh9tJuX+iRAYOmKvgDOg9/MB8hBD6/HhNMdfyWAk8PtmxqD5f85NZ4snMyOOO3ZygXDWjHS4xN8chSV2gdK+PQnYTCpMH5bNtfHWNF04EOlW5fINj94BwEihDMHNWHq5//MsouxTAlZbXN+IM6J08exle/bepW1+pAu/MFdL74bTOnTR2OpipRHn5d8fP6wgOSs00pqQiVHRds2M3fP/qFNm+AYQVZMZpNLruNlHh31GcV9S3YVIVDJdkEMCg/kwuOHBMVTAE8esXxnPPTXirVToK+RFLts46rKdDOlqZS4lS7lYGNOIW6YfLlki14gzr3XziLy46dELVtX0Dnua9+Y21hKTlpidx17hH0SE9iza7SsAZVJM6cNgKPL8DUYb15rOnTsIeo3wxS4W3km73r+HnOfnaX14bGRAt5oWrccU631OM/8C9ASlkJVIb+3SqE2AHEup534hTgUymlHygWQuwBJgAr/oXdPgV8FPH3n4HXATfwEHDBoTZwqIBqppTy0n/hgP6jkJGXRkZe2qEXBLILMgh2eVgZukFabkrMslIe2KJWtakMmtCf+z6/BU+rxR3YvHg7j5z/XJQsw6PnP8eX1W/x5xMm8c681ewqraVnRjJVDa0s2VbcuUFFovSyZmAmkse2zT7ou6BN95McEtoU9tFI1wW4PB/Qz20CGiL5n7Trfv68+nVag95ut+VQbGQ6YwNQKVyYar+whlFXCDUTmXAXtD6BFDaEDELiXxFq5Dk4ECnVhLYnQdhA2BAJd7ClxcO3ZWstfawuhCi/qeM3daTWORsFEJUOTukzle+MpXiM6KDK3BZHa4nGSn0/qiL4beteJp0zkJWNhfiMIE7VRq6eQVGLTqd4mWDfeh99c9PYU1HXGRi0agifiuKSmHRa6UiJJcgaMbLLWvvwp+xCygLx4WAKQJcCnxGgR3pS1ItSabMxuHgI795+Ljfu/ZalRhEdWRopQbarRBe3BH5pqU1pQkGXJvaAHcPrwB/Z4acqXHDkGJLcTl5b9hvmgBZknT0i8yPQd7jJb8jl83sv4vbXv+eMt95HCEG/3DReufEMeqYnc/0/v4k5e9OG92b59hIM08Q0JVWNrVQ1Hrx7VjdMfl5Y3MmfCo33FllEwBOwWg9UUEa0YTTbcPqcXHjkGDRVZW1hGRv3lFnmxFjB2W9bizFMMyx62RUdJbT1e8qxR3C8fg8URbBgwx6KKxtjvgvoBmc+/D4XzxpH39x0yuuaAYHDruL164e0OLFr3d9PXZES7z5gBs6uqYzu14PCslrufWdu+Ldt21cVc4+bUtInN/q52CcnLSaL1R2e+vNJHBEyW+4Kp13j4tGTeX7nj2FNO7uiMS61D4UtFVy9+k2ktHhOaUe7aZjvIBCIVIE3mLtmJ2dOGxHjsXfb63NYu6uUgG6wr7qRix7/mNkPXYbNpsbIaqiK4LazZ2BTVaSUPDAvevxNafLaz8tpLeq0RLLbNO46dybThvUh8RBiq3/gX4MQogAYDawCpgDXCSEuxkr43CqlbMQKtlZGrFbGwQOw7jBQSvl9xN8eKeUzoWNYcoB1onCogGrEIb7/r0ZZYQWPXvA8FXuqyB/Ug1OvO5ZvXpqLza6hB3RufPUq4hLdMetNOnkcb939EcFQh5+qqRiGgc1uo+egXG5/51oA3AnWrLq6pDam47ClrpWGlnbOe/QjGls96KZkZQzxU4LNRKRaD8eDdciA1VWWZIvQRJJBlMQ7kO6zwawFrS9CSaWwoRhDxtI3HYoNVQh6uFPJc6VS7mmghzsVKSWv7/mF94oWY0rJhPR+PDHqAlxabIvxlsBUnincQpJaS5vM4s7hU4myaHWdD+2vH+AX+CGUWZJNN1Oh/+OQmYSODFE4U5TjJzs1npnKUH6q2NBZzpNWJ15ku7c/YHCYdzgzhw5hdXkRC5eUULg7QNeaoW4Y/OOak/nzc19R3diCbkpUm8CYn4qpgDKqFbVngCOzh3PNgKOZX7mZL0pWUOtrQQoYkT4TNe1S+rjeYkubDSMUDjlVGwMSc3n4g/lR+0PAhbPG8MDmL1jVZxNagcTc78TcFG+R4FO7f0FLYFBiD7JdyWyb30qFvzNTIITgxMOGcONp0/jrOz/hr1WgNjlmG5qqMKBHBh/MX8fqnaXhTFBheR1Pf7GIWWMGxKwDMG5AT569+hQuf+YzNhdVHuBsRcOUMjaoERK/IzoQVhWFvsOSOL/vFE6aZLXInza1jav+8SUl1Y0hKyE6AwJBlI9cB/ZVN+AL6OzYX4N5AEPgA0FK2FVaS9DovgJhmJJPFm7g8T8dj9NuY3NRJVJK3vpp9SG3Pbb/73tvXH7sBH5eVxj2BAXrd6uKJWR621kz+GbZ1qiMlB4S8ExwOfAFg+i6SXqim/qWdnpnp4aXS0t088DFs3jw/fnWWOpGOFjtgCKgpd1Hm9fP7GVbqW1qY+LgXkwZWhBeZnLGQNY3FPNr9VYkkvFpfblx0PFctuJl2iI8JL1aADnCgViXGJW91BQlbATdAY8vEGXMbEqJz+3n6pVvgCaxuVRshkpQN3DaNU6bMhyb2ilcOzatDxsb9oW7baUEbwUYmmEF84Zlep6dkvhvHUzJJg3924xDL/h/BulCiMgK2OtSypgHe6j57SvgJillixDiFeBhrMfVw1jSTv8rQ+MIdD15kR1l6fwOHCqgcgshRnMAVomUcv3v2cl/IrztPm6efj/NtS1IKdm1Zg+1ZfW8uPJR6soayB/cg+yC7r2e0nNTeWn147xxxwc0VDUx+eRxnHjNMej+IMmZSexYWcjN0++nqaaZoZMHcur1xxHpcCKEIG9gLp8u2khDq6fbLpzQkuBXkH6BYreIzwdDss1ttdb7lyGbbgLZglR74k98mapgL9KEi0QF4jVntw7zAqusuLu1ilvWv4+C4Ip+R5DnTuOjCOHH9Q1FPLH9Wx4ccVbU+s0BDzeufRePoWBxEeG6tW/z/Yw7cYasToQASSoQq1MUCd2oZH7l5ijz4d8DRRF817aCck9DVJbIITS8iGgeS4i6UxDM5d53FiFl7G3itGscP2EQX9QuQzmynn6mk7YlbiqqW61MpQGsT6RvTToTjhpGljOJC3tP46isYdy24UOK2qpZVL2dck8DDWYBNqUZm7D4XLOyR3BMzkgeKv8tRjPpq+oVbFOKrSyNAkqeD8WjQZMdOewAPnNCZVhyHj9VbKKh2oWM8O+TUlJcWY+Ukj45ad2a67rsGpnJCdx97hE8+MH8qGAnqFtk3fOO6KoVbKEgO/WQApy/B6oQuFQ7XrOzrGaaktaGIFNP6R3u1Lrp5W8prbGyRRKirKKkhGEF2ewqq40iikvg2S8XMWfl9oPKCXQPybCCbIqrGw5IgA4EDbYUV/Hz2sJwUCCEiMqgdoePF27kiNH9GVqQfdAjyE1LpHd2Klv3VYWDJrum8vRVJzFlWG/AsmzpmsGKdzo4/8gxvDNvNRIor2/hhpe+4c1bz2JwfhYvf7ecd39ei5SSCYN6cvSYASHV8ejtmBKe+OxXXvhmCR5fkIBu8OWSzVx3yhTOmzmap3fM4duytWhCJVFz8eL4y+mfkM17RYspaquO/UE5fqTdtNwfQjBMM8beRu2qH+U20Cc0sjcoIQiOqTYGVPWmJ5lMGJTPKZOjuVaPjzqfBzZ/wfqGIhJsLi7veQSPNc1BjdetTuoiJ8HdycS5/tCg+hdQJ6Ucd7AFhBA2rGDqow7JAilldcT3bwAdGaVyoGfE6nnEChMeCq0h3lVhaF8Nof0MAg6eLg/hUAFVD6wIsLsnnQT+a3tDi7fsJ+ALhB9Mpilpb/EggAnHHVqxPq9/Dg/NviPm85rSOu485u/42qzZ2LqfN9HW2M5lfz+PN+/6CEVVSEpP5OHv7uS1ZZsOEkyFIGCaMgKZ4WN53a6DJmx8ZpC7N7xDbdsqpiVmcUFmM1uaPdy56VUuzNjNcan7aFI0+qU8xGHp/VlauzPKONhnBsMBTMfnb+9dxLjUPmEOAkDANFjbEK3fBVDcXhNjNKubJmWeBvolWC8L2XQb0BT9A0UeyCrCYpUS9noTWFFbGLMPFYEQwiLmSwOj60NfSIraoumBNqHi1uwE8/0ES+3WjDTUGTVteB/Of/SjmBeeEJCRFMeJE4fQ2reOL/dvwG8GkSYYVelE3lKmlOwqreXvH/2CP6hz6uRh/GXt2+Ggrs7fQl2oe05FkOZI4NUJV5IXZ5Vd0pPiQ2UiC3ZNo0qtxx8x5mgwalI6E9L78v6+36LOh02oqEIh2R7HmvoiWoIeSNTAYw8T0QG2l1Rz37tzufeCo5i9dDMV9Z3PGJumctSYAdx21uHEOR1ReksdqGlso7C0JoZgnZkcz2+bi6hqbGXcgLwDZqhE6H8HCy5UReVEx2HM9i5DD5pIIZG1Nip3+jnr4ff58oFLiHPY2LE/4hwLCX09KHaJWeHA3u5kRJ/c6GWwpAhmL9sadc8pQlCQlUJxVUO4n6G7w7v59OmcNm04u8pq2VtZj8DqCIucmDhsGnvK66hqbAmrdXdwjvZU1Eeptkcdl2mybndZOKAKmjr1/jZS7HE4Qt1oHdhVWhOdgTJMCstrmTKsN6t37ueNH1dFZeYcmso95x/J87OXRAWCvqDOD6t3UlLdxEe/rg//jjU797NyR/cSCYR+cyTx3hfQeembZfQY6uT78vUETJ0AOl4jwAObP+eMnhN5u2hht2MqFIib1o5tTTpNLX6EJkmeHGSbv4SyBhc/VWzCpdo4p9dkTjpsKHPX7sQX0NFyA6B0btGvBinN38ctvWfR0OqhoqGZ9d691PpbGJ6cz/i0vjw79uLw8rese9/qmu7Ibhf46R0fx8C8/2vZnf94CGvm8xawQ0r5bMTnOSF+FcBpwNbQv78DPhZCPItFSu8PHDq9G40HgO+FEI8AHcmiscA9/M4mvEMFVHuklP/RQdOejcX888a3aaxu5rDjx3DF4xdgs9sOuV5coivGt88IGri7KfEdDMu/XcO7939K0B/khD/PiiG/60GDHat288T8+zjhqlm0NbWTmp1Mi8fPki3FB9gquB02dMPk7vOO4JTJw6jyNnHhshdp0b3dLi+wAqKF1bsxSaXQk0iZP445Db3RhMlb1YP4vqEXr/dfiNl8O48P/Ygr17expfnAD0+wMgZrG/bGfJ5ujyXPptjcBM3oMQ1KnZSQ/Yw1ILuJJkRJkKWAikTgNxUadQd37Zsc7ugjemkUFIQisEuNkSkFrKzffdDfYEpJq+7DHGEiHC6odpKTnMjLl51NnNNOU1usyrWmKLx8wxn0yUlj5i8P4e/IlLUc+JbzBXTen7+OmeP7UOVt6lYTx0DSpvupD7SFA6pHLz+Oa57/CiWkTj+6Xw9cae1U1XRm2VSh0DM+jSv6HUGyI475lZuJU5yMtPelVbSTl5LMUTkjOGnRE9YYjWzFaEoGr0rHmyNomPy6YQ+XHTOefrnpUQFVULf4Kz+u3oGmKpw4cXAMF8mUJo98vCDmVzW2efhyyWYcNvWgmR+7TSU/I5k9FfUHnBgEdIP6PQbT3eOZX7TNytDW2gBBY5uXa5//iqPHdVN29KgoQ1pR+njJLurF1SdOAmny/i+dSfhhBdls3VcV1vgCq/V/f21T+Hi6HpcQ8MV9F4c1j965/ZywFpduGFz30mwUrPM2qm8uLoct2qMQqGlqO2jzgk1VSA4FsBsairl1/ftheYm/jTybGVmdGZekOGdYA6xj+w0hlfYnP18YlVVUhOCEiYM5ZtxAnv58EdhNlFGtiGQd2hUCNh+rdpZE8fe6UXI5JALoLKnegT+iy1UiKfXU81PlxqjgvytEosHh52fyS/kWfASpFfDXjZ8iBARNA4FgTvk63j/tOvr3SGdNYSntOU1sVXdHCeb6gwbXvTgbRRF49QD2w9ow03zYFY2rB8zi/IKp4WW3NZdGZ/s1yegJGd3qVP2B/zGmABcBW4QQG0Of3QOcJ4QYhXXp7sMijiOl3CaE+BzYjkW0/cu/0uEX2sbckJjnHcANoY+3AadLKbceeM1O/FfLuVaX1HLL9PvxhrJB35fOp7G2hbs/uOGg6+mGyZurt9Gak4BtfyNCN3HGOZh+1qQoNfRDYcOvW3j0gufwe6wHybv3fcbM86bEpAOllDx05tMMGNuX8+85HUVR+GThhqhuoQ44bCrXnDiZvMxkBudnht3is13JfDX9Vn6oWM/cio2YpsTApKS9DolEweIBBEKtMz6phfWaAtLqHiwPKLxQMYK7e64H7ycck3smO1rKorJUXREwDdRuHjR3Dz218/f5lyCbbqGnbOGMjCl8XZsLBEFKLsmuJkWpxmx5HQLL4IB5AIO6gJtr9s6kwu8Md6xpQkERSuilZWJKk6DU6YiFy7z1KIhw4JGs+rg5bzO9HK1sbk/ljapR+ExLrVwIUAd5YZCXnORE8jNTkFLitNti/N1G9c3lic8W0tzuI5jkRPb1IwSY5dESGl0hALfmOGgmseN8PTP/F37bW0iqksizV5+M1x8kwe2g3FXFy4U/I5FoQsGmaLhVO9f0n4UQgjPzD2MYvfnzc1+yVm5EN0yOGN2PUy510Cc+k21NZZgOiTKxBXNJSlQ3laYqNLf7yEpJiFGf7giGDNNgzsod1gsmIhtidpy6LugIILqTDFAESCztKH/QoLSumWPHD2B9wz4aMuswkwOgSfAJzL1u1JI4clMTSUt0s3BZcUyAVlRZz6auGTApLINwAajgHu3HadeYvWxb1GLr95STluimqc0bzlLphnlAMrbTpnHchEHhYAosvtLg/E7C9LcPXcbWfVUkuByM6tuDH1ZtZ9GmveEgxa6pJLic3VrT2DUVVVHolZXCseMG4jMC3LLufdojminu3/Q5X02/lYxQk8jfLjmGm175NjzWpin5fPEm4l0OWj1dmjBC9jxz1+yk2eNFnd4E8YZFP3CYLLKv5SRtOjYt2qj6YLDbVExThsfMFg/a4U3Mq2qKmf7kuFKI12I5SR33iG6azMwcyrqGvfhFMHxp6dLo1LHDUvz/ZP9S7jjiFM6ZOZKGQDvnLn0OI+jDRKKhYux14Y8g//tWu9GO8+Izg7y48yfOzp8UbqbJcibTFGgP36MORSPf/bsoNn/gdyIkXdBdhPrjQdZ5BHjkf7nfrcDFh1zwADhUQBVbk/oPQIfq7aof1ke9EPzeAIs/X871L10BEuKT47pd/515a1iwYTe+owZg312Lo8XPxJnDue2JSw+634A/iC3UXgsw752F4WAKwO/xs335LvIG5LB/Rzl+bwChWM7ra37ayKaF29m8eDtPL3wwbC4aibREN988dBlxIb2s5nYfVz//FRv2lJPgsnPfBbM4f+TU8Gzr0+JlvFQ4j4A06D6Uj76eg1JljzcpxCSyc0b+RL4vX8/Olu5L1QqCWdnDWVi9Lea7nyo20jMuHZeoQzZeh+W3BzfkLGN6Qhr7/fH0cbYwLK4J6k/DekJGEr5d4XU6kG7zkG33Ux2IDyue69LkmOzhjEvry+amEn4oi6b91flaSXMkUOtvwSEM3h7wKxk2LzZF0tfZSr7LwdPlUyn3NtLRmymAzU37OfbXR3lg+Jn87ZJjuP2N7zs7BYENeys6XxrVTpSAiRzSCqo8YF1IVQRtXj83vvgt586YwhfVK8KZrY5V7IpGr7h0Xli2gE3sRvYQVIgybphXyufnXUO5qOGpDXPCpVeBYFRKL/7U70jibS6CusED781j7tpdUfuev343v20pQrhMnFMcSJuJnmQgHRp+r9H52xRB/7wM8jNTWLhxD+0+yx6pazu+lBKzm3J08HdYj0TC2kR0iSorL462vBqk2fkSxS1Rh7QT73Zy2THjcdptfLt8W4zCuJTQNyct2pRXSEgwMPY7oNxBqTvI7oJaWr2x0hkD8zLxBYLsLK0hMzmecQN68s3yrTFlsryMZA4f0YerTpjEqp37aWjxMLx3NnldxDbTEuMY2z8Pp92GoljE/90VdXzy6wakhHED8hjaK4t356+NClryM5M5d8YoFKEwfmAeqqpQ4Wmga/+wpqgUt9eEA6qJg3tx1vSRfPzrhjBXKmiYvPbDSvrmpNHi8RNIa0f09qIIQe5AF2/OWY3u0FHdRieXU4GA1FmSuBZxVCO2BhvB9XGgH1gcNSXexeXHTmBwfiaPfLyAxjYvjsmtNGo6wYhrpaPE/vio8wiaBhsaivGFXAOcqo0nR1/Ir9Vb+a50LQurtx2y2Qbg29K1LK3ZRbWviVR7PHcPPZUvS1axodHiGcrebYg6JeypSUAgpZVhNJDM/OUh/jrsNI7NHc0Dw8/gylWvh7q1Jb3jMzktf8LBD+AP/D8PIcQcDtLGJKU8+VDbOFRA9awQ3TKZhbV9+W/VBfjLh4t58bq38LX7GT5tMJNPHR+TppWm5Iz0yxGKYMyRI3jw69tiBD1XbN9nvUCEIDAgkwBQkek+YMq3uqSWv57wKPt3luNw2bnt7b9w+FmTcMY5LBJ4xCze4bLz3NK/M/fthezeUBwSC7VejgFfgMJ1RZQVVjJtWG9+XL0j/CJTBBRkpUYJ+t3++hw2hl7sDa1e7n7rR9678zz6hywp3ti7IMoi5VCwCYOBrkbLCDfhelSh8M/xl3PO0n/Q6G8P85H6xWdxQo8xnJQ3Dq8RYHHNjphtfVm6kjUNRbw3uh+KUCMuY8mo+DpGxddFLB35YgulOVyXgP9LMDuXEwKe6b2Sc3bMpCrYmQlaXL2ds3tNIsORYBHVI0oIPeJSuXfY6dyy7n0GOkpJ0gLYQvyKyqCTu4sG4DMbYkQVQdIQaOPODR9xY8apOGxa+FxIiHrBBoMmjv1xDJyUyPZeVehFrhDdS4AiGZibSU1TGy0eH3UtHupb97OtzIb7WDtBU8cMZaTSHAkclzuKE3uM4azFz4FKmCZv9Gvlm3UbacqrjyLiB6XBirrdbGoswaZoTGoZxcJNsaXioG5YHB0vOH5O5pQjB3HFrMPwjDa4/fU5lFQ3kp2ayJNXnkCCy0GCy8GX91/Cos170Q2Tpz9fFKXlo5vdFSzBYdfQFEsIsWuHniIsEnYkR6lrt52Jycq2nagJ3dxrKhj9W2j2+pi/fjfnHTGaD39ZR1ltM0HDxJFtkDtO4SfPKkxFWHIPQoLThAQduTkBDEE7cMWzn3dz9KDEGYjxjQxC48LeExjpLmDhpj00O1swEwOoQRuPHnciM0f2xzQlN7/6LWsLyxBYGZ+nrjyRKcN609Lu47UfVvD9yu20+4IoiuCWM6dz7ozR3HLG4dxw6jQM08Rh02j1+Ph+9U4aWz3hyeCDFx3NN8u38dOanaiKICMpnudvODkmW+yrkTz3xkqCgeUcN2EQlx49Hqdd61Y6obyuiT5j4tidURl2IHq9di5SJFvdbF2G3GsEKPHUgQPUHIljisS/+MCilh5/gDaPnzH98/jqgUsAOH3x09R7o49lZEoBT425EFUo3LH+Q3RpoCDoGZfGU6MvJGAa/FC+AR0zSjkfDsxhC0qDKl8TAPWBNv62+UtLiLhDEVYDZXwLxrw00AUkGFFlVr+p88jWb+ibkE3/hBy+nHoLi0t2keBwMiN/0AGlYP7AvxWePvQiB8ehAqoT/zcbF0Lsw2LHG4AupRwnhDgLeBAYDEyQUnYVD/3/BTtW7ea5P78eVh/ftnwXUkJckhs9qGMEDTSbpTti6CYYsGnxVt7+68dc/cylUdvKSU1kS3Fl+MGvKoLslISoZaSUrN5VSmltE1/e8RGNO8uRpsTX7uepS1+iYGgep914Ags+XYav1bJacbjsXPK3c7E77Zx87THs2VjM4s+WEYzwsRPC0rc6fGRfrjtlCs99vQTdMDElbCup4qaXv+WFv5yKEFaJIjJLYErLayrR7eD7ldvxEjygKng0JDYhKXB6uaGXAWnfo6i5ACTYXNw06AQe3PwFSEs4s9LXxIysoSTaXCTaXLxx2FU8snU225s7LRkCpkGZp54SXx96d8N1OhAq/G7Wt2XgcjUzLed57M0XEvkItSsmmfb2qIBKCMH+9jpO6DGGY3JG8m1Z5yW3t7Waa1a/yWMjz6e/sxSlrVNuZE59AT5TPWj5TSD4afdm9BjCcHR9y28GuahgJnc3f4I6oxFzrwuCAi0vwDNnXMbJd7wXPldSQjDZhxn0h0uRBpL6QBtX9DuCva3VVjCgRnT2mYJGtRWHoqIiYsj2HiMARoD56mr8wVhttEj4/Qar11Vw10mJeLUAg09x0lzXhtMm8cR18m8S45ycHFKfTnI7ue/duSiKFeKpihLVng/WtTt5SAGPXHYsx9zzRkxAlZeRTE1TG0YkJ8cwcdpDwaqQmKqkyF6GeYAym8/UOfv1N6DKiRCCJLeDv5w8he3t+1ni2kApBiSAOBrk0mRosWFPNwmWuJERela+gM7gnpnsKO0kpts0hfVZW/A3BhEC7tv0GX8feQ5nXdaPd/ctwpAmdkXlk/aFrPpsP7tL69gc8ZwA+Os7c/nhkSs479EPqWpoDZ8l05C8MHspvTJS+HHNTraXVNM7O5W7zj2C9KQ4Pr/3In5ZvxuvP8CkIQVs2VfJ/HW7rEAYqKhv5omPFnHH6Sfz1I7v0ISKvwn0FUns1C3xyTd/WkWLz0ePvu5uy3RCUWjv0RRV4vWbQbT8NqiIR5Y7INdvWSaZAkUh4vo0EckBXPEq3rbus5D+oMFrP65k+Y59eHxBGto8OCcqaPGqVabD6hKeljmIOM3Bszu+Z0NjcThIrPI28WHxEtY2FBHo0r0rgNPyJuA3gyyo2nro7l4h6JoqEFJgS4REMw7zsNqYti4hYFtTGekimT//42vK65oxTcnMUfv4+2XHoR7EuugP/Ftgg5SypbsvhBD5v2cDhwqo3pBSHv0vH1Y0ZkopI9MNW4HTgdf+l9v9l7B58Xb0iHKDHtDZuaqQD/e9wqePz6ahspGiLfvZvz3ipe8Nsvm32OzKDadNZdXO/XgDVsnBYde48fRpUcs8/ulCvl+5HSklvqEZuAJ+3Bus0phQBL8s2MTn5RXUnTcaB4JpAZULLjmSEdOHhLdRMLQnGT3TqNhbjR7Q0ewaWQWZYeX148YPinJX9wV0NuwpZ8f+aoYWZON22GiLMHhWFQXdNDn74Q/w+IPIERpKD+N3MOkE/RLyGJiQyxsNNs6MTyY/Yp239y4MP/Qk4NEDfF6ynJsHW/F4/4QcHhl5Lucufb6TnI0VjLQxFOzTIfAbhGfXJt157G1tT+X6vdNDf+lkly/jjQFjWdVYR03AxtC4FkYkxlEZzAU6NWv8RpBdzRX8s3AeTYFYLorPCHLPpk94cuTZZARc5NoN7IqJ/xDBFIAvGGRrYTW62dnIIARIhRBD1wp8RH8Pn5Ysx6nY8bkDqMOtwMStOSj3NoQYbJ17C9YLzCI7srceNVM2paRXXAY2TSUYKXKqSX5mNbJMWhlEacYEVQCGTbc6nLrasMTriOwAmCDLnWG7jvs2f8bKut0ETJ3GQDs3rnuXDydfT35cenhsF1RtpSXVw6M3H01NpYefAqso9lejNRvo6+Oh2RqbkX1yeeiSY/AHDTxdnALsmsrkIQXMWbE96nMhBHefdwQPLfgO6TBR+nkwtQOfFWlK/FoAGbAuUF03aPX6aenRQLCh8/5XbMBgD+aqJLQaNwoSX8R4Sik5ckx/Tps6jF837CErJYEt7KFobqKVwUgPIse38NG+pWxt2m81QAjwS52NDSWs39aEWWsDIRHD2lByAphb42itggXrd9PU5os5O7pu8NAHP9PY5iVomOyvaWTH/hq+fvASFA2WONezrHUXL29S6b9/AN7IwNOUFJbV8krPMxiT1pvitloWLSrhG71zPH0BnQ8WrSExvg3tMIXgsviodI40JS67rWslnaAWBCTmhgREs4ra14fqIqZpQiIZfWo8az5tO2BHIsCW4qrwv7WlCo5pNnBb649P6cfpeRMB2NRYgj+inOc3deaUr48pawK4VQd3Dj2Ffe21/FJ1aP6waZoxx2+3Sz66aSbf1lfxxf7yGDFgEcoSP/zhfEqqG8OZ08Wbi/h6yRbOOnzkIff7B/6fxiJgDIAQYoGUMlKH6puO7w6GQ71K/4/3gUopdwD/1zsikjIS0exalH9eXHIcKZlJXPPspQC8cO0bVOyuDAdeqqaQ2zcrZltZKQl8/cAlLN++D7Bm3ZGCbkWV9Xy3YlvnDNym4h3bE+f2ahS/jqmpvLO7GE/oex+SZQkC/8NfsHtZIYlp8dz29rWMnTWSf/z2MC/f9A5Fm0qIS3Hja/dz07T7OPfOU+k1ZQBqhI8UWNmyDrL6Xecewd8//AXdNNFUhfysZIoqGmj3BayU/6YECAqUHkGEq/P1213afEdLOTtCXKnPSpZzRd8juKr/UQD4jS78GSQeI0DQ1FldvxevEWBkcj59E7LY3VJJUBpoQiHFHsegpB4I5XkILAajEqkXg+eTLnu3TIwXN+ViEyYthh2QlHnquWLXWGp89ejSRBEK1w+YxWOj+3DVqtejPPY+37+i2665SJT5Wni46BguyNhAgbOFoCmIzDI5FRuT0gewoq4QQ5oIKQg2KwTKo28jKUEd2YpZZ7M0cnr4UXta2SbZ5Smtmwb5cWmcO3MUX/62qZMs7FUwt7tRWlXEyFYcisa4tL7YFY1qXzPDU3uyvq44rGogBASxyLgOxcbUzEE4VRu/lG7Ft86NrLOB3UQd2oaKgs2uWrphdhtXnDea5yq+s8yOJYiBHi4bcCJSSpbV7sKIKCOZUrKqbjf5cen4jSCXr3yFMk9o/FHIdCRQ6W+yAuxEcExrYXzFaK6aNYVhobb+4pZYYcyAbpAc70Lv0uXpsGkcPro3tub2qOM4IKRANnQGt0HDoKi1mpb0brpbhbQsm7JMfE4v7NXAsLIMdpvGUWMGkJ+ZzJnTR7KpqII5z24Lf0+9DWNdAuJ4QsFw9PmXmtl5PHvciL4+lDGtZBemEND1bktuqqrS0OYNv6g7jKN37q9hdvsyVtbtxpAmhjTZXFmGdV90Ii9kbJznTiPPncY2VwOKEl1ClcIiaZMGzpkmYkWq5cdoSm48YxqZAzXu3/xF1MSHOMMyKzYlau8AOM0ocfpIbGgr5oqTj+PtOWvRFAWPP3hA5XkA3SfR58djT7DM3hd66pgsXmRgXga5s5IoFJXh8x7ZPBIJh6Lx6KjzLCuiuAwOS+/PytpC/CE6g4IgXnNaMiICFKFwVPYwhib15B8756DhR5eC2/M2kGf8yKrqafjNhJh9jEntzZSMATxWujSqDO0L6GzdV/VHQPXvj8irOvUg3x0QhwqokkJthN2iQ2zrIJDAzyEe1mvdKaH+38IR50/l25d+oqywAtMwEYrgltevjlrm0ofPZc28jTTXtSI1gTPBxdWhYKsrEuOcHDt+ULffNbR6sGnRvlbClNhS3dhbAxTMHMwGVRBRycPv8bNlZymKL0BdeQMPnPYUr254irz+Odz1wQ0s+WolT1zyYpjE/tgFz/PXz24mPSmOyvoWDNMqt6mqwuB8S9ju+AmD6ZWZwi/rd2OzqZw/cxSPfvJr58NcCsxtCZjbwJFpkjo9SJvpI8UeR423uVvZAbBO6jtFi8h1p3Bij7GclDeWd4sWhblJDsXGkVnDuXzlq5S21wGWOOFzYy/l+/L1bG8upXdcJrcMPrFTJ8cxw9p2y2NEc6bAGijB5dk7OD+zkEsKj6Im6CYoDcq9jVh+uwpIeG7Xrzw/Lh+HasMbasO2WBIHD6a8RgC70AhKN8+Xj7a6f4RCtjORRJsLieTkHuM4u9cktjaXsrlxPyX7m/l+9V4rkOkCs8qOMrrVKo9gBWOn95yAQ9F4aMtXaIqCbhrcMuhEslzJ3HLGdDz+AN8t39b5AjQEssRJv8lxjEvvwxn5Eznjt2doDLZbY612f5f7zSDJNjd3DzuNpV/X4K0JWJ1sQQVjdRKKkNx02nTcLhuHD+/DjRvfAU12bktIFrRsYqYYiF3RwuMY+ooyTz2bG0sobquh1FMfwUkzKPVGC6467TZOOWkAw7KtYGpuxQYe2foNpkiK0rgCi3cW73LgD3ZmEU1p8tuGfYxM6cWWxv0EpUWQ79CkioRd0RjS1o/NvgYCqlW2tx3Wysr0DYg2EVWFlTrIIhe5OQm0jC0jaAQQqgtZ4cDmELx6+bnkZybjM4KUeer5bfteyPegDvaAIpFVdsxNCVzeZyZP7ZhDqae+8xoTEtkY8Wg1BcZ+B3JLPBWml3nsisngKEIwsGdGjAaXL6DjD+qsCmUJwUrkGhWx0i5nTo+mtOYOcaH4G0AxkeUOZKEbBnWOrZ7g5/iLs/lTj1mkJLjDzSx/FwrvFi1iR3O55X/plKhHNWBvdiLj5QHNn8C6z06cMogjR/WnoqGZeqWZH5fuYsPaag6siCEItBI+OVLC7vI69IXJpI2Pp133I7GkSNqDvqjMqyIEAdPgvs2fce+wM5iRNYTHR5/PnLJ17G2rIseVwtSMgeS6UtnaXMrulkry3Gkclt4fIQQT1Sco91TT09FGlt2LRHBx5g7uK+kkmdsVjYt7H84V/WaiCIX8UGm6o0TvsKn0zun6/v0D/4aIpcoe+O9ucciACotHdSBhz0MFVFOllOVCiExgvhBip5Tyt99zYEKIq4CrAPLzf1f58qCwO2w8v/wRln61kpaGNkbOGErvYdHbTUxL4LVNz3Dni7NZUVqNogju+vQXnr/21PDD5vegX256TIdTQoKLvzx4Lpm5qfSePICT738n6ntDSmRrZ5lKCNjy23by+ucA8MWzc6I7Ar0Bvn1pLq9/fAPXPvYpFW3tpLqcPH/jGSS4nVQ3tnLvOz+xpbiKoGHgstv4fNFGemV2z5/x1yiMKhnJQ5ccw5w1W3l+5zxkkgeSA6HMSjQMafJd2TpO7DGWS/scDlLyXfk6HIrGtQOOobi9hn1tNVEp+6e3z+GDKdcddOyEYxLS8ynRdQdr7y7VwKYYXJe7mftLDsMmVBQhuhBxJR7dj/L7JhRReHjb16hCIcuZhIkkXnNQ2l5Pq+7FlJL8uHSEEAxPzmd4cj4Vic388HUxHaSTyMyerHBiahLXkABZKQmc12sy/RKyLRXzabdQ6Wsix5VMptPKKgghGD+gJ/PW7IqSYFCE4N3DrsVu07h0xctU+5oPmWlTpMI3P+9gzhtlIaJ85FhYHKcTDxuMO3RNlzY3Ri+iwIq9xTABru1/NP8snIfPDKKhEJAG35Wt45uytWQ4EmMySl0hkbhVB9W+Zt4vWsxX+1dZx+80wRNN5F2ypSiGd+UP6ry65Vd6jLCT506lqKUWc58DpcCPCK2uonBqz/HcPOh47t7wKWZcDSogDJBqaN4S4h5LHWSLZmWNap0MmZXGGqUCYYI6wAsDvLhUO/FpKntbq7hm9ZsETIO2IhUxxBMOkMkO4FS89E3MxmcEwudelQqsScHwhTJZqoQMf5jwLoFNeytj7iinXePOc2Zy0ROfRD07FAGaZomu1gdCCve6iEkjux0azgj9vG1NpTy19xtkvG5NtPr6SSlw0GIPEgyt51RtjE4riOk8PDxrCMOT8zl58ZPhIE7YJCIj0HFSDwi70DhzyT+sXKyUOFUbsofE6bBhrraCaF9QR1XEQb3/DFOyd18ji266ka3NpQgh6OFK4dIVr9Cu+zqNzqV1jbUEvdy36TPem3wtfeKzOLXn+JhtjkopYFRKQfhvs+XJ/4+9tw6P48q2vn+nqhrFbMuyzDIzJYbYicPMzDjBSTLJBCYwSSbMzMmEmdlxYjtmZkYxY6ux4Hx/VKulVstx5s593++de7WeJ0+s7sJT1XVW7b322vRUN9EzpYMWEUl6p1nRqWic1ucAO5UO3HXe4Vz4yIcxV/miXtmcffDYfQ9KN/5TkCuEuBH719X2b6J//6Fs3f4IVbGU8r/cJ0dKWR79f40Q4gvs7s9/iFBFo1mvAEyYMOEPscP9welycMjZ0393mW9XbmVlZS2WlFimZOOeKh75aC73XHBEl8uHg2GcbmdcCjM92cNz157ETS9/S6MvQI/MFJ688gSKOjjpXnjERN7+2RZHC0DZWIna0rHHliA5o938snhTacK+9bDOq1e+RuS71aQEwiheJ2/taOKuL27m0sc/prKhJRZqb5ukN+6tSthOGyzL4sqnP2NzSTWG6UTi5KBZveg12M1HxYkpM0+0HYwiFGb2GE5yVIR+QPYgnt32YxyZAqgJN+9z37Hzds1Ees6A4D+7/L7FcKEi0VA4q+8UPi7+jTY2oGBR4ElhUtZAkjQXITOCGV3WJoX2NOZWHBzbaxyfly5POCdTWjTq/iiRmE1EmrEWK7eufZ85s+7Aodg/m/ysNJ6/7iT+/vZsGn1BctKTKK9rjqXtXFUpXDlpKscfOJQrlr3Cs9t/AqAwKZuXJl1GkmbrlCKWwb0bPuWXys2ErTSEUJDSTncdOLQPzmjl5m5fNUa1hrU2BSIKZEVwTwyguQQRy8CtOokYBkajgrHLjb6PcvJR/fJjZAog259Jk7s1RhakAbLShZSSydkDMaRJWaCBOVUbaNYDMZ+j6lATHZmYQ6hkuVKoDjXHCEOK5qFfUg7nLHqG1qjvD9j9C61ladEZUYAUbCurJT3HSbjOaI9eqVDlrqWmMWqRIEEpDMcc04Wwr9nW5nJe3jGH5Q07bfN8SHy6KYAusBbaLxUpXifuXgatDaG4xXTLJMOZzMVLX6BJD2CsTkZJM9rJFCBUsPJC3L7mfeojrbHz0lSFg2cMYPfyABVNzTTnRU1IO/DOzpVpYEeislK8qCI+raUIQShicNvwE7lm5Rv2ObsFoWSQ/vZ0nkQwsl/P2Hq/VG+MS9tZioXl1hngzmN3aw2WlBzWYxTHFYynRQ/y1u75VAYbmZg1gBMLJpLpSubqoiN4YftsVKFgSYsL+s+gNFDPL1Xx246NCRCRZkxgDsSim85syUmnD2KY1oeR/Xry9s8r+bKT63xnaIpCitPDgTlFzFu3i2eWLWWCYwyOQSGqtQbWNRXTkd0JbN1V/+REmUZnSKsBAm/RmR2a0slX9e0dTFSh8NjYc0nvYC6cn5XKl/dcyJaSGlxOjaGFud2C9P8ZeBVI6eLfAK/9kQ3sj1B1+ZovhHADx0kpP9nnikIkAYqU0hf99+HAvX/koP7/wvayWp78/Lc4g8GIYbJ2V0XCstXFtdx+9AOUba/A4dK48dU/cchZ7WRtzIBezHnkCupb/Dz80VxufOlrCnMzuOOcQ8nPSuVPxx7IgUP7sKuynj55GVT+upmX1ryFHjZwuh30GVbAgceNB+yqvoAvUQNSUJTPnHfmE4kKfIO6ydxwK8tve40Gf6hL3cK+Hl9uh8bgwlwWfL8srn/Zol8rWHT8NZhS8knJktj6btXB5QNtzd7i2m3csuZ9JBJVKLyz5zfO63cQX5evjKWDHEJlVHrXkUar9VXwPw9SB/eREFmfeNwSHiwdxw+NfVCFRg9vOl5jBf/os4gHSsfTbLgY5Gni4f4r8Gi38caBV/Lo5m8o8dcxIr03B+cN5851HxG2dAxp0awHcCpal9VAIVPnyy1r0RwK4Q5znyUlDRE/edGoEtjX+ct7Looeo12p9dFva0GTnDJlJGcdPJYHN39Jsb8u5sy821fNtSvesCc2LPI9mZT56zCdJupBjbAxlWwrnYOHD+LqE6bS2BokPclNRiSN1hUQE7DUOUldl84dl89kWFoB232V3PPmz1TvDrGvlL/X5eDWS6dzweLnKQ3U0z85l2Pyx/Ls+jqsXna1qdiZxIEZRfx9wyf8WrUJTVHQhBqX+gObCCq0TyT53gxyXKnUhFpihKpZD/D6rrkEjHA8UcjRETMbsaodyO1JELGPN3uEoGmVCb5oc9qhrSg59jVqy+yKznOXgF3+agJmOGGibyNdYKfKZNSpXlEEJ502kM+aFsUtrwmV8/odxLPbvqcs0IA0gEon0m0hTWJRMbBJytrG4rihDlsGwfRW3r31XMCOFL04eyHLdlVj7sNGXFEEg/Kzyc1I4fzDJvD+r6sxTAvdtBBC8JeXvuGMmaN5/8jrWFq3A4/qZPjYPtz5+k9sK6slM8XD/RcdTY/M9ue/V3WiCiVOd+ZWnbx14NXUh304VQepDg8hM8IFi5+nJtSMLk3mVm/itZ2/MDl7EFcVHcHErAHsaa2hT1I2Ran5WFHyutsf35ZHEyo57hRqQ10WSRGxDIy0EEcPHwrAror6/bfNAraW1rCtpIaHP55LKGKgCIGyBpyHNCW0shVCkO5MwpIWLXqQFIcHNeFmicLyYU9/He8XwfOV45nT1E5MFQSrG/cyOK1X7AUIwOt2Mr6oYL/H343/HEgp7/l3t7E/QnVe2z+EECpwBHAWNjlaAOyTUGF3t/0iGrnRgPej1u4nAc9ih9C+E0KslVJ2Hf75vwjdMPnTU58muDUL7DeSzvjbMQ9Qts22JQgFI9zz5Je8s6eEQX3zuPL4qWQke7AsydXPfs6eygZ006K60ceFj37IV/dchMflYPSAfEYPsO0HGFRAn2G92bBwCxl5aRx67kFo0ciEoiq4PC7CHZyMnR4nhUN7oWoqoCMB39FDMXKSCbZ23V6m7Xw6PsYcmsK4gQVcetRkyuqaE/qk6Yb9YL9p2HGc1HsiX5WttPVEBRMYlGI/eO7f+EXcRFbqrydoRDizcArv7LWrEAen5nPnyFMBm7D8c9c8dvgqOTKzmkM87yDaqvJCs0ms8BNsD6Yzu6kQXaroUlIWaOBLPcBHQ2v4fsR3HZZVkFKS607jwdFn88XCDezYUMfDld8QsCKxiX5h7VaOzB/Dt+Wr7JRhR32NCXu2N6PmKHE9xlWhkNWhZY4vGKa4upGsVC89M1MRQnDOMWNYmruaYn8dnzGHzD2Snb6quDYXujTZ3FwWIxgdG7+KZAsOaOKAXv0YFerJoX99CcuSpCd7mD5hOKV0MEmVgrqKEFOyB6MoggNcg7Dq57IvMgVgCJMrV7yG3wojkWxsKqXa3cwZudP5YP1iGO2Doa2sda+npSpI2NIJ2wVsOBUtbpKW2OXybagONkdTkh3Mci2dEn9dlyJsPCbUe+1oW3SLmqaSPKuVYNiwqyM7zYf7mh8Ny6QuFF/oLk1sMX62blds6QrWapt0KIpgRevOBELdw53OxyVLaDWi96MK6tRmzEVp0CeEdEUHQ4kSNYG97ehxuRUHw9PaJ9rh6b35x9EnMmveS3H7URRhR6OkpDA3gyevPAGAq0+YyqQhhVzz3BdA1H3etPh4/joOHVfEqX0PsM9NSmae2oOakj2An82O3YyTvWKR8hMLJvJR8RJ8ejCaHhMc0WMUQgiy3e3PsyV1O2iMtMbuT1Na1IZ9/FC+lmV1O/ho+g2xPppgR6O7MtLsl5TDuf2nc++Gz7q+QNj3Rxs6W2Z0BYemsqeygVe+XxrzeLOkxNIl5m4NdVj7c8KtOBiSmk+q5ubQX/5B2NRxqQ4eHXsu47P6J25czQclDawwsXI+kcy3jQPoWCGsS5NXd87hjV2/cljPUdw18tR9k7Ru/EdDCPHM730vpfz9Firsh1BJKTcKIWYAZwNHYzcbnAr0k1Im1p/Hr7sbSCh7kFJ+AXyxvwP7v43KBh/hLkp9vW4Ht589K+4zPaJTEvWVAmidOZBI/yzWldawuaKORZv28uldF9DYGqC4uqlDSw5JMKyzubg64e1GSsnSb1by+TPfIy2LdXM3cdMbV6E5bGf1a5+7hGeveQ3TsNAcKv1G9eHoy2bx8aNfEwqEsZwaRk4ydO6sHoUQdvqgICed8rpmNEUhyePkxetOYWDU6DM7LSlO26EqgoH52TGz0AEpPbhxaKI1mU+PJ3ARy6BJD3DV4CO4bNAswpYRayFhSourV7zO9pYKwpbBIZ6VCE/HlEuYRELgZrd5JF7FR8hq7y1Xp7uxOgibJQKhDoiZpV7/4les3mHriLRjG2NmhWBXJvb0ZLDg8HvZ2FjCZYtfbTdYDajou9yMy8hng7IZh2L7kz067tyYgd+6XRUdJj2T8w+dwFXHT+Fvaz9gb2ttjGi8uWsO5/X04TR01vjtVJPYR7VSGzSh4NCd3PvOzzGCX9vsZ86SXbhVB6EOVZUup4aiCCrqm3nh68W/W64OEPGEUQzdrujDLn336UHGHpjCF8n+WESuNhwfaZDY11UT7ePfWVunCIFLdcQZp7oUB+Oy+rGlpTxGXtyKg6Pyx1K7UGFe5S5iFD9LpzSpgiPzR/NT5Tp0y7Qd1zvsJS7iFP23lGBg4TPjU3eyyom1MgW80m5P41NBAeWAJsjV2WkkEs+yYLyzuhAgk01wS8x5GYj8MDglSpEfHNFj0AUOt4oQMC6zP+f2i5cV+IJhXJoWZ3zqdTm49YxDyEjxMCA/m9z0dqJeVJBD5zcbRQjKaptilZKflCzlrd3zY2P66o5fSHN4Ob5gAgDZ7lRuH34it6/7EKKO3h8UL2ZURh+m5bYX0xiW2SXZNbHwGxFW1O3k4B4j4r4bmVFIVbAprmhlr7+WXS3Vv1uJ2WLYFYzVjT6OnDSEPVUNhCJRLzyZeC1CukGfvIy4BtJtkMVuTEOgDPPjdGhcOvAQTiiYyAnzHyUQTUnrhslfVr/NNzNvIcUR36xbCAdkvotsug5p7KTeSObm3ePx6aGEakJLgmVazK3axOCUfM7uN41u/I/Eqg7/vge7WfK/hN8lVEKIMqAEeBG4KZq+27M/MvWfiIxkd4JI0qEqPHfNyfTuJNrUHBpur4tgawipKUQGZkM0h66bFs3+EMu3ljC8b484F3Ro74/VGd+9OoevXvgJI/omtvDzZWTlZ3DZw3aQ8IgLD6ZwaAEbF24lIy+N6acewP1nPom/yY8QAhF1UO64N6emMm1EP2qbfGwtq0U3LEqqG0lyO3n5hlMZ1CsHrQMB65OXwaOXHctdb/1EcyDE0MI87r30cIpba8nzpONWEyuLAMZm9mNl/a7YW64zWmIM4FC0mOYIbCPNHb7KmL6qWnehWwoOpVPDY8BmQCooGRye/DGzhknW+rO5efdUwlLFQOGt6iFc3GMLJgJVycCV8QIAOyvqY2QKQAYVO/oThUt1UODNxG+EeWP3PMzFaeA1beFwjROnonFgr4E8MONYakMt5HszY6RQStsBu2Mvxdd+WMaSzXvZO6ICU+sYobEQZjFPDdjBw2UT+bW5Lx7VSXMkEJ8CQ+BQVASCFIeHoXpfvlfidXOtoTAk28eIJXBqGn89fSb1LX7OfuB9WoPh+MlRtYkA/vbx1yw1Ye4ypElJ7WMIWcDvPRIk9hu7S9E4ttc4fqhYaxuGRmEhuWzAoTyz/fuYlUDfpBwuGnAwk7IG8tTW7/EZIQ7tMYLLBx6KNkJl2pd/J9gAwm0hMgwiEvLcafx22D1IKdnSUs59Gz5jVzSK17E9oLBsv699ObDICiegQIenlTKmGZFtT+L7E/e3Qaj2y4VlKshSN2JsCyJKpjDBqtZI6uMkPyWDq4oOS3DNzk5NSthTMKxz77s/43So6IbFLWcczIlTbeKS6nWR5HHR1CHSbFqSgfnt4dKfKtfFRddCls7synUxQgXwXcWaOIITtnRuW/sB70+9jt7RxtpDUvP3aYJpt1ZJxM1Dj2dbc0Vc2k+XJu/tXYiGss/q4L3VDRx7x+u0BEKYpsXEIYVsdu6ipTWEtcub4I2mqQpmWpiTpo3krdkr29sbKRJlSACRG4GAiitT4/Q+U9jTWpNwL7SZ+g5P701nCK0Qkf0lD278ku8qVrdXUXYkU+VOrDV2QUFrsski185uQvU/FFLKt9r+LYS4vuPffxT7S/l9CpwInAGYQoiv+IPlg/9pSPG6ue7EqTz31WIUIZBITpwyoj0l1wFCCG5+82oePv9ZpKP9jb3j96aUZKclMXP0AH7bsJtQxMDlUBnQM4vhfRNFk8u/Wx2X0gsHIyz/YU2MUAEMnTyIoZMHAfDTP+ey5pcNMed3xbJI8UVoTXdjSRn1ncrggYuPYvoNz8eiZBJoDUX4bf3uuCatAFtKqvEFwzx/3ckM6Z3Ld+WrOXfV06jR5sKPjzuP4q1+Pl+wAbfTwZ+OPZDxRQXcN/oMbl3zPqsbd+NRnPxl6LGMzugT227IjOCLhMl2J8faSLThg5oijsksIUsxQNqpS0uKWPsXXCcgw1+jChNVwKikeq7utYVny0cjEPyzZihfNRRRlJzMExNvRqg26QlF9DihqLkyFW1qM16XA0tIDswexKweI7hmxRusayxGDFWiImlwaRo5qcmcPG0kyU4XGR3SfGC/Obf4E/u8bSmtQWtNhWntPrYuxSDXEcClGPytcAsXJD+KW9E4f8kLBE07BekQKvePPouKYANO1cGsvBHsLKlPSL9aSJTpDSjlbggLUvNdHHfgMD5fsIGwrseRKaV/AGWEbR4qfapNGHUFr+lhTFY2q5t3EzJ1PKqTWZkm/VyVCNHrD/26w5bBj5XreHDM2dyy9j1UYRvGnlAwgVP7TGZKThFfla3gy9IV7PRVccWyV3hozNm8NeXqhG31zEqj2F3bPl6qgwKvPdkLIdjaXE5VsClunbZJU9WU342IyC6CtSJHj9NBAV06y8evBI5pLRyfNYmmGp2fN2zB0gBDIFULpZdOk9RpavZz+bJX+WjanzH8gg/nrSUY1jl60hDuOf9w7n57Ng5VIWKYmJYkYrQXPDz06w+8HP6GgBEmr6JntA2PbcYrhOCGUw5ipyjjijkvEDAjCU2DBYIULT4K01VRQtjSuWL5K3w946+oQuHz0uWoKHGp247LFqX0jPvsu/LVvLTjZ/xGOIE8aYrK0flj+KFybVyUsg2+JS7MltbYfb16RxkpUyRKYQDpkMitSR1IlcRIinDNijcYnNWTy46ezGcLNlDV4INxPkReBKHZpFa3FJoifnJcKeidqk51y4xLcXaFpXXbu0xjSp+KtSa1XbPYqrLpJz/M+N3NdeN/Bv5LPGd/Kb/rhRA3ADOxtVOPYHtTnQ58L6Vs/a/s9P9F+IJhfl27C90wkAiOGF/EzafP3Ofy0085gMJhBWxdtoMPikvZVt9MWLdFk06HysTB9hvR/RcfxSfz17N+TwX9e2Zx3qHju6wIyS7IRNXUmPGoEILMnl1bHACU7agk1GFSDxek40tyxF7fpZRccfQBODQ1IUoG8M/ZK+nbI4PCnAw2l1SzePNeFm/ai6qqWJbF6UeN4DNlXtyD5roVb2H+lEU4ZB/jNS9+zkFn5LBHryLPncZHU6+nT3J8den9y77iq/plSAlaxMGT4y4gy5VCJNiEIU0ClpdbSs7igKTNhE0/S3156FLl1UG/kqrBruYFDHS3n6dbMRmf6mBssC87WqrIUJM4OG84Vww6DIfaLhod1CsHr8thlzZbEtXnJG1ZAVm9XRghyeTxo5BSsrphj01UckzEjEbUWjezeo/g9sOOiquEs6TFW7vnM696M2kOL8leZwKpsiyJ3iBIwomq6lgywhBPI0dmlvBjQ2/eqxmCcHzEhf1n8NG065lTtQFTWszIHUa+N/5ab1X2YuUHoFTDoSogBdrYVnQN6GOntgKKzvLdxfy8akdcqk9kRVCG+ts1YW4LZagfpdHFeceM48yhB/Dazl+pDjVzYHYRR3tfQ4bLGZvUlzX+bMKWisXv60QUFA7MKeKz6X/hp4p1NBsBxmX0Q0qJU1H5sHhxTMS+taWCq1e8wSfTbwDgw+LFfF22Erfq4Kw+U3hu+09IJKa0mJQ1kMN72n5KsyvW8eSW72IGjZ2xP6NPkaEjK9yxSVoALukgQgTZoGGuTYGwgpkVQRnbinDs+xlqOAy+aFmCN8mJOsLAmJ8OYQH5YcxdXkSPCMrAIEEzzOkLniJcoaCvTkLqCt8v38KDFx/Nl/dcyJ6qBqobfdz77s/tG3eZWOOaqI9IzD1ufJv8sUlcEYIzjh1B/lAXt639IKZVbNWDsdcSBQWX6uCC/jN4YOMXrGrYTQ9POv2TclnCjoRzqQv7eG3nr9SGW/ipcl2XZArsZ9Cbu+dx58hTAFhSu52HNn3VZYWf3WsymZuHHc/AlFzKmr6jLljOWn8GtboXBUGkRcRNU6ZpIZs1SAOlXxCz1A2BtpCjRIxpJmiabGkp55DBI7irz2Hc8NJXRHpGYlo6ES39XFK3nZN6T+KKgYfy6s5fUKKViRcNODiuiKQrZLpSqIz2+esI20usg7gSQWuTTihi4Hbut71EN/4XYr93hbRn47nAXCGEg3Zh+gvESXb/s/GP9+awcW9VrLv9vPW7mL1yO0dMHNzl8r5AiHmlVTSlaVxx2kEs2VzMTyu3Udfsp8kX5LrnvuDpq04kNcnNmQeP4cyDxyRso7aplWe+WEhFQzOjDhpI6pfLCbYEbfLhULnqqYvQIzrr5m0mEowwYtoQUrNsUe2AUX1wJ7lipCo0Kh+0DhEZS/LJb+uYNW4Qk4f2YdGmvXH7DusGt73+Q+KJRTU7HyxfiedApdNXBroSoU2MpI9uYH5jDZawKPbXccmyl/h0+o2xEuM5JRv5qnY5aPYjyXDp3LD0bb4+/i88te1bdrVWU5SSj0OovFPpj6UMNUyeqxjL6blVbGpVKXQqOKMpwRbTxTU7imjWd2MhcZoq21sq8arxPmFup8abN5/BXW/9FG3sm8K2khrq620yct/WOVQ3tuJytxuAihQTJTnE5OG948gUwFNbv+fL0hWELLt83zHRi3NRKpFORQyaovDJjOvZUL+E5OCjjE8u49emAh4qHU9IahCq5N4Nn3Hv6NNpivj5vmINX5Wu4OrBRzI9qm2ZU7mBF3bMxhilo/bWUEJOZgwaxJLQFjruzqhTufG7b9tTIVE4cixktN+0DCpY89PBFFgI3vtkI18evByfYaeTNjeXUTBwAEPEfB7rv4ilvh58U9+fRS15RGTXDV+dAs6Ppj2+LlvJW7vnYyH5uHgJh/UYybTcoSgdci+mtKgMNdIY8fN9xWpe2flLLIKx01fNo+POJWCESNY8TMwaEBNWf1uxep9kqiMEUODJojLYGBcxUfqFkY1OqPCgKQq9eqRS6WhABhQ7Yhd1PZfVLszlCtrUZrAgtSGdlCQX5Z7quP1IpG0Z4QZtRCvGqhSocAECGVagfxCpQtCKIHNATDSRi9MJRQye/Wohn951AXkZKVzw8Afx0ceIglWnoeTpyFI3HW3II4bJB4tX8Qm/xhHItoiaJhSGpPbivtFn8NCmr1jTuIeIZVAWaGBDY8k+x+zd3b9hCeIsDjrDlBalgXZN2c9V6xPIlCoUNKHQP8nLgwOrUVru45TkTeDegSXtKNkte2eywpdue48F2+8pTVM5tmgk74bmIDRQZzQia5wIU0C2zuScCu7ps5w0NUKdOZ/Mvu+Qk5ZMRSfeKxA4o7KC8/ofxOTsQRT7a2OVifvDrcNP4OIlL6B3JujuRKLp0FRcju5GyP8TIYTw0U75vUKINiGpbXkm5e+HOvkDhKojpJQ68C3wrRDitn9l3f/XsXZnedxbfihisHJHaZeEqjUY5sz736OuxY9umHw0dy2nHDQKXzAcuxqb9lbzl5e/4ZUbTu2yzY4vGOacB9+jsTWIaUm2FNcw7c7jOdSTgmmYTDxqLMnpSVx7wO1U7KpCCIGqqTy96B/0HtyLGadPYe28jcz+5zxUTSXkdtD5vbFtvxcfOYnlW0viWtTsD9KvJKQMpJB2ZZYAZYQPkafHIvQSiWGZrKjfxWHRCMPi8p1237i241HATI4Q8VvcP+as2OdXLHslrgrOQGV3pJAbdvUnYgUYn1xDpsMmjkta+hCxXFjRSsCIZbKhqYRmPUi60xvbxjdlK/msdDnOqSr3D5zFF19uZ9Pe+Any9R+Xc+tfj+KRjV8jhURaYAQEn3+yjWNvHBt33b4qWxnTmkhAZoQ5//KhvPnOOsxWxS4UUmHIgWnkutMYmjmZUPAGpPE4n9UV2WQqipCl8/TW76kPt8a2+be1H/DsxIsZndGHOVUbbOImgEwDE4PfAhtj2g4FUIVG9p4CSiPx4vH0JDcTB/dmibqBkKljbUiy299E37JbezfgD4XtawmEgzpXbpDcWFDISVl7mJxSxSCvin+vwjp/NmEZn9LO1fxc0mMrJ6SuoSVYyBu75sZdu9mV6xmd0SdB6CylxKu5+KxkeVw6KGzp3L/hcxqippUTswbyyLhzcCoayR3K1H8PEigPNiSYuQoB3klh/tz/UA7KHsbzxd9TWmEi6zpt1xJQ50BaICyBb5egtV6gDE7CGuAnAQKc6QKjw/5EhhG7ByBqr5Clg2ohekaoSa/hl6oNDE7NZ3Np/H2IBKXZCXm6LZ7v9KWpGbCPaJwhLXb4KgkYYVY27OpQgfn7GQsTM87yog0d038uRWNMShgZmg2umaQ4PAmC7QHJebw9tie03AsyBKH2OmIFcCnw116LOHnLUagTWjCX2NEip3Bw0Mj+9OrnhS3gFgYOh4m/p4WFQi9ngIf7LsGj2vdWtlqF4ruUd/76Fdf+/B5bxV4sxUITKmlOLzPy2nugFqX2pCg1PlX5exicms/g1F5sbI7XLIocHZGjI2sdgMCtOLjrvMP+r7dN68b/HUgpU/a/1O/j34lbXgk8+O8ewP/fkFLy24bdKF2k4eqau3iYAj8s30qDLxAjYCHdiOvDBrZ536odZVz5zGc8e/VJCUL0ZVuKCYT1mBdLSDf4dcMu7nvqmlhV3fsPfk7J1nL0qM+UEIInLnuJJ3+7DyEE1794BefffTqBliAlkTA3vfItId1A+CMk7ayjQHjZuXYPY0b35ahJQ/hp5fY/VK4MYLQomD+m45zoR2RFMKRlpyoPaG73A+r0XJHAx8VLuH/j57hVJ+PcA+3JqgOpIqzE9T0E6OFJh8b2v1WhMCJzMs1126gLGJy29UgytRCX523GcBQlTBUWEq3D9fuqbAWPb/k2NnHftOodercMTDhH07LoG+6FujKTcGoQwrboeKtaR3ldc5yDtNLpZAWCGrMJzyGtBPYqEFIgS2dbVj1/XfMeS+u2owiFTOexZLtTwF8ct351qAUj2kZFVrgItKq8EVnMU8cUktbFxNUxkmABDgFxMhohUYb4Mfr5qEq1KJTZlAbq8Qc0OjSVwfIaKKJ9u22T52Nl43iraghvDv6FFLWKpweUUxZJYnZDb96uHoKiSE7J2sUVPTfZ+jYTkpqP58jMCXxT36vDcVrs8lUzOqMP6xqLiVgGDkXlov4z2dhUkuBlBVAXbolFXFY17Ob1nb8yIr03taFWFOJ71GpCsUvnO90FFu2fCcCjugDJQC2f+T+V807NJkjTYaDogrQQsz+QIYHRAnhDiG1uPP3DmMI+urbtuxSN0Zl9We1sbo8O7qO5nTq1CVJMQgrctvYDBGA6MsFsfx64nQ4sLYhlgDLEj9XgsLfnMlGG+e3KwigcQo0jsGBrl5r0xDohAYxKL2RzU1mCUNwhDNyKic9yY0r7DklTTQYnNbPKlwYIJiaXc0nGN8hmCWpvzuxxGd+WhgmYGhYClyK4bshR0HoR7VYDiWOb5bCjoSLTQD20AZfPw19GH8yJI8by0KbPubP3Cg7NKMWUggbDzZU7ZzItPYzV4b5VhASzjGSPzj9PvJSfK9ezqHYbOe5Uzu07PUFT9q+ilzczzsoEopXRk1pw1HmYkTqCSyZMj1VEd6MbXeHfIVT/I2j6ve/+zOyV24mYiaHvJZv3snRLMQcM7RP3uT8cSSjltSyJy6ElEJb1uyp5/9c1XHD4hLjPu7LlEUBTa5B1uytwaholOypiZMpeR1K9tzZuncweGWT2yKAAePKqE3jz0wXseeh7iJjMX1bMkrcXcN/Xt3D3eYdz9ORh3PzyN/iCiYLqriBDCuaGJLSZ9jGYWHb6rqOsIHou5k+ZtCqwfmgNsneEgBlhfmQjSWEvrfhjUgSlwUVppJZhnoLYOS2p3R4/llJyRP4YVtTvio1Mg+Hh6cpRvF00n08c06mw7F5+bsXBwT2Gxz1QP9y7OC4KErJ0nAMjEL8bHKqCQ1NQGl3IqnZCZmCxs6IujlCd1Wcq7+5dQMjUURC4FAfD0wuYW7MJpU97ub5ExDVmrQo2ke70okQ9h2L7iJIpa1UKssoJpmDJzmoeaZ3LBcfPZE7VBoJmBFN2XYsWtgzSR0rcJZpteDi8FaVPiJBmN7J2Kw6uHHQ4H25fT3lriJhWt9GBzDDaNSi0T4EX5G3FZzhY25pDjiPIqKR6Lum5lalpVewMpnFkZglaBzIm0Lm1YAkpygjerx0SO6/PSpcxLTOV24qKqDJ6MCy9kLlVm/jL6nfiWtW0VQJ2FISHLZ3vy9fwwd5FseidAng1N4oQTM4aSGmgnq0tiWa7bUh3JnHT0ONwSQcPPLuQ+pa9mJZEq1OwatIRUxvBa4HfrpbUNEHGEIXm8iT0sIV6SGNMdxWOSBQXscIMgWBsRj/+VnQiZ3z3HhHDxLIkzkYvXmESEiG736AFstaByNLjHNYloI73YS5Ng6gRbkF2GmU7LXSfAKcFSQYEVLRZjUhNtovwUbhhyDE8s+2HuMo8KeGd3fPjUoIOoZLtTuWJcRfwW81mFtZu47eajTiwKxxHeuu5pfcq7iudya5QJgXOau4pXEah20ezkYIQKqlqU/tBG3vIM27j/SEqX9f3JWypzEqvY0jKGcjGrqsE26AJSW9XhNKwk76pAc4YtIfjCpxgeDkkbTcjlDJc0ZS+U/Fzd+EKxvd+CNm0GOI6BwoQdhT6sJ6jYpHw/w5cVXQ4S+t22ClNafttjUovxJQWR4wczXG9xndHprqxX/w7hOo/vtpvb1UDP67Yts+oTcSwmL9+VwKhGjMgP45QKUJw0KgBlNU1sb20Nm5gQrrBtrJ4V2GAA4b1weNyENYNTEvidmhMHNybM/7xTsy+wZOm4EzzEGm23/AcTo1hU7vWdAFMHlLI2maDPWEDK7qNcCDMw396mSeWPMCkwb15+5azuP6FLymuaQLscnDTsqsCpSUxOzE9UzNwWKJd4CzB2pCMLHEDEjEwiBgUsKM7CPR1SShOEyUvgoFBTlYKvoowRATCZSELgry+81ceH38+AD4jRKsRT/Dcisbu1mr2BuLJowA2BVJ4o2g+/2y6lpKQQt+kXE7oPSFWYr+usRi/kUgY+/VJI2lYBku32LoSRRE8ctmxDC3Mo0dmCqU1Hf3CLG577Xseu+I4po6whdYZjiTy3Zm0GkFGphdy7eCjSNJcvLbrV0JmBIndQy9dTaLBajeYNLEoDzSgCZVIBz2QgkD6NMwKV8yDxzAkXyzayMVHTuLDadfzQ8VatrdUMK9mc5dVSH16pDPtqFF8/Nt6GvrU0yGrSMQyeH3XrwT6RbBqkqDW1oTJZjUusuhRXeiWgS5NqiMeLtx+KJqQmAhmpZdyR+9VDPE2McTbQlc/eVXA1fkb+bmpkInJNUSkyoLmniyoD3NN3qccnpbPbsfTfFu+Ok5/IxAc3nMUITPCwpqtcaSqulOLIgs4KHcofx91GgALarZwy5r3u9T/OBWN6blDOKznKL5ftoVmfygWBTZMC0erk5kZo+A0k9SKbFwRFxMH92ZoYR4nPPEKyqQ6O12nthV32GetIDggp4jBqfkc3mMUecmpvH/72Tz9xUJqmlqZPqIfZ8waxVUrXmdLSzlCAZHXNdEQ2TrqIQ3IBgc4LIbnDaTyJx9yb3uVntYrgsOpone4ZySS4wrGMyqjkBtXv0NtqJkMZzJFqT1Z3bAntpyCYFLWAKpCzRz26z/wqA7uGHEy1/bazcb6X0nVIkxMrkER8NLAueC9AAKf09Y/M02LN0i1EQEEOQ6dS3psjX6WBGYpeE6GwHvE999shyIkt/T182t9I9fnL8ahWIjAKmTgPcYlTUeNtF9HTcColBCKawrSNRkiy22HVgSk3IoQ/2fE4D09GXw8/Xp+q9mKlJLpuUPIcv3bGaBu/C/D/nyoOoq04r4CPF18/h+FZn8ITVUI/84L1rdLt3DNCdPimiO/98tqu1Q8+kYoBBx34DAOHNqHix/7mC0l1bFohDva66kzUjwu3r/tHJ76fAEVDS1MHlLI6h1ltg4rOuK6pjDkzElUv74QoQgGjuvH9S9evs9j3bVuL189/1OMTLWhtqaZ0+57m1dvOJVhfXrwxT0XYVkWG/ZW0ewPMbR3LtlpSTz04a988lt82xel1UHHW8Da5rXJlGnbRMudXqSvXaODKZBlTsiL4FA0u1VEZjwZCJoRdvmqeGXnLzRH/HY6rcNdJoE+STkJaS8JJKkGSarJeYX9uHj1CpbX7+KD4kUMSMpjt99u5YK0J+w2HYlbdXBm3ykMGtmTtbsqqGv2M7QwNxaBevOmM7j8yc/iiG9YGtw77xsuT53M5uYyfq5aT8jUUYXCmsa9JDvcpGhuilJ6srxiD5ZfYNY4qTNM1KECqbYfd4seTPgRaYpKVmkvSmV8WllVBHsa6wh6A4zL7EcvTwY/VyW24nEpDo4rGM/YUf246MhJHPHr/TRG2rclhCBoRjAUE+3AFqQejQd1qmRLtjzUGE1IAe/XDsZEIRxd5Nem3gz1NPJFwxhSXb14sPAb0pW9CceiCPhoyE9te6a+p4s/bZ/JnIZsRiY1oLu+xaHEt/Fxqw4uGziLFIebMxY81WXKqiO+r1jD0rodPD7uPKbnDkUVAqPToKpCYWbeMM7Jm8kp97zFnqqGhO3olomOzmMTzok1u23D2SeM5J3KedAp7QN2j7pFtdtYXLudd/b8xnMTLmZUVh8evvQYwBZw/1SxjnAXdgFdQXgthNcm/j9HVmHJrNh3DlWhR1YqzUoIvYOJK9GfSVFqPt/OvAXDMtEUlSN/fSCOcFtINjaX4dODSCQBM8I9Gz7jjXGjOSzjE+KJTwgCb3R1hCS2Zul8F5ugDUa4j0IqHgh+C3jB3Bw/hsAEzy9MSOjUEkSNzIn6uEcJLAKnoz9CKJD+EoTngFkFjtEI5+h9D+h/AzKcyZxQMGH/C3ajG/vA/mwT/kdT9AH5WSjK74dxI7rBD8u3cOpB7T/m5dtK4xqcWpZk3a4KDhrZn6euOp6LH/uY+hY/lpSMG1jAmfvoRJ6Tnsz9Fx8V+/v4u96ISwXqhkXPCQN56bFL0cM6KRnJ+ww7m6bJrUfcF5ciBJCqINQ/i2BY5/73f+G9284BQFEURvePr4C5+fSDqWrwsXDjHvutXECS4ub6QSfwxO5vCFk6arUHo6NexBRQ0VG/IBEOyHfqjEzxMz1vAv/YuirOJfug3KFcsvSlqA8TOBQVTSh2KxNpoQjBjxVrOaLnaH6p2kjIiuASJn1cPlQhWNjSl8+Lt1AZbIylObb4yuPOxaloDErpQb4ng/P6HRSr9hk7sBfVjT5Wbi9jR3kdU4f3JcXrZuzA/HZCpUrUmQ00eiRPbf0+LrJiSouAGWZ+9WZGZ/RhbWMx+m+pELB/SlJIyNUR2XosrdY5aScQJOOmYnciiYgIg+u2voZb07CQmFaivDjfk8Etw05gbNQ8FeCygbN4ZqudClLbqp6kjOlthEOiIPCqrthnCgo1RhOo9qRndsriWwieLB+DiQLBSo5pGs8P4/qQas1POG63YtL2U9KExUnZu3mjaigIwdSMCiKdgklu1UFPTzoORePiAQfz7LYfE7RBndEQaeXalW/y9Yy/JvgNuRSN411T+OXDUr5vervTmtF8s2ohcnVWBnbyU+U6Dswu4u/rP2FjUynZ7hTO7jsNd33X/R2h3abBME0e2/INb0+5xt66lNy0+h1WN+wm2IlQdUyp7gsRZ4RjTy1k87wWappaGdm/J389awaXrH6RcLTBt0vRGJHWm2Y9gFu1hd1tBqKZzuSYqB/sCFVzJ4JqSYtva11c1+tiROBFwMKQgpJQCg7FpMDpt0kMFuABz+mgrwFjI3TSX9lQIeU2hMP2xRPJ10Lytfa+qg8AmUhmu0YHpZRIQgg3Iu1R+0+hgPvwP7idbnTj/3/8rzbTSPa4eOX6U7n5lW+pbLDD3AnaKClpDcULadOTPPg69tVzqGSlepFS8vPq7WQke8hJS+L8wyYwfWS/P5x7n1DUm5rG1pjZn9upMamoEE+SG09Souiypd7HP858kg0LNuP0uIgE4lNdEoj0SiM40W5K3NBiP2Rbg2Ee/PBX1u2qID8rlTvOOYzC3HQ0VeHpq09kwYbdzF65jRSvm6OmD+KGLW9iSPvBZzlNiKsOknH/VxyCvx7h4cTc91GFE8Fceg0/mrt25SAQnNd/OjXBZkKmHltTt0wUiImnA2aEz0qX4VYcjM/sz6CUTNKsRXxd5eGOvQcihIuAWfy7E5WK4KTek+KcowE27a3iiqc+jf3dKzuNt/56FoeMHciXizYS0g2UCS2IJLtnW1eeO0h7crUjVqJDLzpACqwlqYiRftT+ocR1AVUIpmcP4ytRTPx0K5GDfVjCinMg7whNqJxWeABjM/tSG2rBoWhUBRs5tMdIct1pzKncQLrTy7G9xvOn5a8iLHuc29zr7xpxCnOr7X6Auzb4+EzM61irFme7E7biCylMBNftGMY/i3bbqR7Anr5VhGgfJ6dikecMEJQOkPBLvRltWWMjx5XK0xMujDnoT84exAvbZ++XUIFNXkoCdYxN78uqZTUYZU5wSJT+YT5fvz2hF2fbaZEdRuTqKP2DhEzY01rDR3sXs91XhSFNWlqD/GPj5+S6U7EiEt0yfvf+ao60E5ZNzWWsbtiTQKbakO1MoS7SVRrNhkvRGNI7l7vuOCHu87tHnsrtaz+INn022Nxczim/Pc41RUdyZt8pSCmpCbdwddER3L7uA0xpEbGMLh3g9ai2rTwwkIcG/5Xmpuf4044p1OheLAnjkmt5tP8KNKGDkg76BjC2Al6gC7tB13EoSe2VutJqQPrfAqsetCGgLyde/7Q/eCD5OoTndISS9C+s141u/L+D/9WECmBw71y+vu9iAEprmzj7gffiWoo4VJUpw/rGrXPnuYdy3fNfIqWtxemRkcJJU0fy6vfL+OfsFYQidkH11tIa3r/9XApz0/d7HE2tQaoafDG9hyLghCnDOWnaiH2uc8+pj7FhwRakJTEiXaRMNIXghEJQBE5N5YBhfZBScu3zX7KluJqIYVLV4OPCRz7gy3suilXfTR/Zn+kj7Yaij23+hlY91P6QHu5DacxElaptxqgYiLEtyHonqBJv3xCn5H2NIEJbk+Oh6vd8euAnCIet/3p1x5yEQ233cW9HyNJZ0bCLvw4/nq9KXZTrC4hYJonNk9s18m1bsIDR6X2obWplW1ktWalehhbm8fd3ZhPokOMtqWnkswXrOWfWOO4+7zAemzOH5tzIPksuBHZkYFrOYNKcXtKcSbRm61jVzvZ+ZG6JSN33ZGJIi1/q1zOk9yC2ldZEtVsSHBKRH39uIirdbht/VShUhZo5ZM59gIylnQHOKDyQe0efDtj+PwOTe7CuaS8AXtXJrcNOYF1TMV7NxcSsAVC8F1GrIj1mXNPhjg2QO6M+EgLHhHZCpfYHbRiEf8LuwwhBU2G5r92FX0KHqJhgSGo+A1N6ELEMFtVsxW9GuGX4Cbyw/Sfqw62/2xJGlyZZzmT6lw9kxY5WiPInc41zX20s7cMc3WqTZOzoWIE3k3d8lQnnWRdqZWBKHs2RQIKWqyOqQ838WLGGmXkjKPbX7rNCR0J7o+VO0FBwqBq9PBkJxL8p4udv6z60fa+iCFr2vfH89h8Zmd6bBzd9SbG/FktKpuQUUeavZ5c/Ua/ZhohlsKJhN0t80/m2dCTl4SSMqM/D6tYcPqzty7m52zHNSlSrsm2trjdm7UFKAyE0pNWMrDserAZsEuUCJTf6d5g/JLcVAuEY002muvEfjf/1hKojeuekM/vhy7nvnZ9ZtHkvyW4Xt511iN2stAMmFPXmw7+dy/KtJXjdTg4ZMwi3U+PDeWvbe8dhm2fOXrmNS4+eHFu3xR/i2a8WsruygZH9enDlcVNwOTSuefYLtpfXxiJkbqeDi4+ctM/olpQyRqbiPlcEUlUQUhIanIuZY7dNGdm3J38942Ca/SE2762KCbAtKdFNi7W77ZRlZzTr8T3nRKpJ/lGSM1zTKAnU8b1cQsihQw+bpKQ5QiQ8QIVmT8BRQnVE/hje3buwyxJ6+9zA2uxFlnowFfhG20xxRl2UTLVDQeBRnZhYDEnthWGZbG4pI1XzcPeo06gqC3Ljix+hKgLDsjhiwuAEK4ywblLVaEcPjpg4hGAPH49u+TohpYRPtSu/wiqFrf3JOCQZVVF4dfLl3KV9ytqfG4nUKigTmxF5+j77y7VBUxSeu+Yk7ntvDut2l1OvNKOM8SFc8WPnVFT6JuWww1eFR3NyZp8pvLdnYZeC7I9KljA9dyiTsgfy9p7f2NJSHrsSfj3EOYufjfVnEwieG38xha/3o6TvHrtHoAWz0kfRpPlY1bgnYfsAU9ItCP3Y/oFZBq6ZINJA1iAlRKTCCl9Ol+tbSIr9dYRMnYuXvkhFoMH29ZKSkemFNEUCWB3OTUWxW79EI1xn951KniedH5Zuo+MlMi2JEF1P3EIVpKW4MYSJbhmkO5J4YftsTGmhYqEIiR41MbWw2Omr4vYRJ/LY5m/3mf6zkNyz/lPuUz5HQcR6U3aFrqKcAjiq11iSNBenFh6Q0CdzU3PZPr2kNEXlqa3fs7u1JnYfLKvfSZrm7XL5uOOWkpqQjx3BtBiZAghLjS2BDMCOFJeGvfR2dW0bA4C+EVk9BenoC86JYLXQHpEKg9WCyP4e2XAWWNWJ62vDwNiDredygzYCHP9nNVLd6Mb/aXQTqk7wOB08cMnR+12uMDeDwtyM2N+6ZWD0bEXIMLLeAY32A7LjxBrRDS589EPK65rRTYvNxVVsKa7h0SuOZXt5bVxzZiFg3a4KDh1XlLDv6kYf28pq0VwaejD+YR0clY+Z5cVMdWPmtkvgdlXV4dRUrC40OVJKnF00bAY4tMdI5ldvjtNAHdV3JGcXjUO3DDYu2cZefy0Ry8CtOpjeYwJC/AayQ/pRGqC1+0AVJmXz6uQreG7bTyyr357oK7XVi9zjtQXuwBtfrMI9KILsT6wE3SFUZvUYwWl9DsStOhiQnJcgMp750IsEI+3jM3vVdnpnp9EaDMcigW6nxoRB7WrZAm8mqlDQaZ+tpQnm/IyY19AOVxMLN+5hxqgB5LrTeGnqJTAVXt3xC2/snou5nxdyt+Lg/P4HkZrk5tHLjwVsc9ONTT70DutqKFwz+EgmZA7Aqzrp6c3gw72L9tkqBGBh7VYmZQ9kY1Np3ESuY6F3qn58bNs3vHv9ZZw7/3kqjHoM1WSRfwtpjq4n5jEZfbihYCmYnUTNoR9ANgH2fZuqGrxR9Csf1w5ifnNP6gwvWVqIJNWgMuJhmLeOr0sXUeqviyMiKxt2xd0LCoJjC8ZxZM/RlAUbSVZdNOp+vi1bhaYmMlZDMwCByNRRxvkQTkmeSOeFqReTl5xGib+Of2z8nB0tlRjS4C+91nBS9h4EsLClB3fuPYCIVFEVheN6TSBF8/B1+SoipsGGppIEcmUiMeNsILqOxSgk9gpM1tzMqdqAguDLshU8Pu58O2oYhUMoRMyuSZphmVQE6+NIdcjUKfB4aNYDcb/VZM1JQ8Qfd8cM91bTz+2jMuK19XGASxgM8jRhSWjQXazw5dLb1ZFUdz47E2gCfS3oG7s6SoRWgFQHJBIqkYrI+gJC3yD19QitH3hOj2q4utGN/1x0E6o/gC3N5WxoKiHLlczMvOGonX74umVw6dKXMYY1o1pRD5r1ybhr0zhy4pDYcpuKq6lpao1Fh8K6yfo9FTS3BhN8qaQEjyu+/QnAok17ufmVb+ymqeMLcC2MjyS4t1bTePpYcMdf2kBIp9EXJDstieMOHM4Py7fY/kUqhFwh7ih7h6uTD+ek3pPwBcPc/dZPrN5RRkayl5OPn8KPzaswpMnR+WO5bNAsAByKxg1DjubFHT8TMCIc22ssZ/WdBnpfZONlUVKlg1ZEx4extHwM0ubx5FCDWUscBDpoT1ShYFV4kJ3ab0S2KChuFxSEEUD/lDxuGX4ixf5avilbhUNROan3pFhjXd0w8QXjUy0R3WB3VUPsSARw0RETmTG6fSKbkDWA43qN59O9y5CmXapuLkuLN26U0NiaWCK+rqk4IYXUx5vNoT1HolsmlcEmQmaEQ3uMpLfek6Nvf42a5lb65GZw36XH8TTfsK2lggxnMrcPO5FcTxrXrnyTF7fPxpAWh/UcyYycYWhCjSN8HdE7ev79k3JZUb8zFtXrarKvC7WwxVdGrWzCiG4vZOnoER9OocVsHpwY3Deghpn9r0e27oWgRns0ok3I3B5tFAJ6OoP8udd6/txrPZsCGQzyNGNKhZCl4lIUSs29hK2+APR0+hnobqZK97IjmB7bTrLDzd9GnAyAu6mUq1a8HitaUAcl41rnbrc8US3E1EZEk4bSKxKT+dXRzG0b3ufdqddS4M1ka0s5lrRNSo/NLI75ak1OqeHq/PW8WDmJawcfiRCCg3uM4OAeI1jXWMwVy17pcrw7QlNUVJQ44qUgKErpyVZfZQene0HI1OM0Y3eu+4gfD7ndvgZmhEc2fx2XzgX7JUIIuKF3BXPqBfXhrFjPRZcwOTTlFyYWuLlmxwBMqXFun1Ec7X2ZP+8YQmXEixCSm4rGMTjVxS29N3PZjlSaDSdhS2WIt5GTs3bTaLi4Zc+BnJ7T9lzx2Lbvan8wNkGX951J/FTiBvcR9j/Tn4LaGbRXFgrIeMmOvHuOR3iO3++4dqMb/ynoJlT7wTdlq3hk81dIrFh39jtGnMKrO+dQE2pmSvZgslwp7PXX2pOSYrdYUccEeHvcn+iVnRbbVldNigEcmsbFR07knTmrCEUMXA6Nfj0ymTSkd9xyUkpufe27dnfm4T1R/Dqu9RUxqwQlZJAyeyu+Y4ZBh6hTRBqcufxJriiaxd/OmsXwwjzeWbmUCqUWa0ArLSY8seU78txpvPXeBtbuqkA3TFoCYT5528fHd14ddy4Ai2u3ccua9wlbOioKr++ax6weI8nzjEN6LwP/84AEYyOy/mTI/hZEclRv0YjA5KG+edyyZyqKomFYJmf1ncaizFq2tHbWggi78/sGC7dL49STZ7K5uYy/rHo72l9P8FnJct6ecjWFSdk4NJWemalU1rfEiIQdlWq/Bk6HyqHT+vOPDZ/jM4Ic2XM0B/cYwc3DjueTt3dgOgxkixYvOsdOm4zql9jaok9SNmsa9sQmSlUoFKX25IpBh8Ut1+wPcewdr8e0enurGrj8yU8Rh9URljpW2Mcru36xRceh5ljK9deqjUzMHMjI9EKW1+9M2H9PVzoj0wupCjZxyYCDyTA+5tDUNVgInig/gGW+3FjUyqmojM/qbxuVdspPqkLh78Nm8F3J+0gszszZwaSUemTj5ZByU7Q8XmL3WTHBqk04lo6bHJHU2DZyeBQDIWCQugG30p8DU0q4q88KTClQheTz2v48W2mnfnq40nlt5y8AMaPTNjgKWhjtzmfV4lospF3QsCUZMbElTv9mYrGztYqQqaMJNapIk0xMqYm1NQG7SvHIrBaK8i9gfFZ/ygL13LHuI0r8dTgVbZ/ptzhIGJZewJaWckxpIRDcOvx4RqQVcvHSl2g1bPsMiUwQ4Dfp7em1HyvWURNqidunV3Hw8gFXkB1+nAxzKZO8GpfsOITezlYKXK0YUuGsnG24FCdzJ41BpN6KbH0e/OV8Mmwv1RE3H9UOYkFVKz7rNM5IcvPRkJ/YGUpjblMvvqor4pxth+EzPOQ5IxzcYzQ4z4LQVyBSIOlcaHkQrCq6rPrzng+RxWA1getgRKpNDhU1HSt3OQS/ABkAz3Eoatfp4G504z8d3YTqdyCl5OHNnxOJ6ZQsNjTs4pxFzxA0IphYrG8qYVhqQULvMkuxSE6PH94RfXuQnZZEZX0LumnhcqiM6NuTvIxkrjxuCkML81i7q5yemamcNHUEDrWdENU0tbKzvI5Ap4pDfdoALrv7dPIDJm88/AXV5fV4GoMYm6sJDs2zr7CqoIxrocWM8Oy2H8nzpHPy9JG8YXyHDLfG5p+wpTO/ejMrt5UmFPqv2FaaQKie2fZDbII2sfAbIT4uWcK1g4+C4Fu0iZSjPT2Qwa+jf9bR5m8zKaWMz4fNZa8xgGx3NoU5o5h4ss6fX/jSjqAJiJOJGQoRS5LmdfPC9p869NeTBM0w7+xZwEkpU3j/19X065GJPxghbBjohomqKLEKSnsduHD+S4QcYSS2Y3uTHuCk3pNIMZNobG6PQglVgiZJVt3ce/6R9O/Z7hskpQFWLVcMnMHy+p3UhnwI7AjLDUOPpSLQyNK67ThVBzPzhrGttCaOcEjsCKLqsxDJdpRoh6/S1pJ1uBJBU2dXaxWmZcZFnASCkWm9KQ828qflr2FIk6NyU7glbzWKsM/hob6/8VrDRbxV1oSUkrEZ/bly0OFRY9L2iIomFAq92RyS0cghjlX2JBgb+y3QeFWH6xo1XPwXPH7bXb8ll+Zt4NScbbiV9gn65Ozd/NRYyPZQBjtbq9i5szI2Rh2hS5P1a+pjqVsQyBoHslFDdPI9UzFxROaheg7jwv4zeG/PQqoiXnRL2G10okhT6hirvkhN4A7OW/wcASMc1ZtJOrbvaRvzziTrioGz8Blh8jxpFCX3ZFxWf5yKxn0bP4urGux8LgqCQm82Zf560l1J+IxggkYuaOn8UrWBi1LXAhHyXRG+GvYdqmiLerWNbQgi8xDiNmT0dxaxFP686yDKI0noUmV5yxy2pPblvr6VDPM2MszrZ0L2KFYGZ5DlSuHEgom4I19Dyz+IRZaa1kHG6xD4p+0NFXcWDkTyFQjlFrqCorgg6cwuv+tGN/4noZtQ/Q7CRnO0VUZ7hMLExDQjMR1LyNRZ11TcZS+ZBzd9wYNjzmanrwqnqjEgOY9/3nwmT3+xgD2VDYzo14OrT5gaE57PHD2AmR3ST234fvkW7nt3Dg5NSdQbScm40f1448cV7JjWByH6YNb4SPliPa615YSOz0I/KRWRaq8ZsnTmVW/ioNyhpDg81IRbkI0a5rpkCCssyavtch8djU3bEDTiyZ2FpDW0E2lWddHMVdpiJNkMndo4Z2g1ZGg1gIqsX0xmz3dJmuFHL7YQKkzJHMTCRWXtW5KSH1duJTgk0nkPVFb6uPTVj2NRPJdD4/azZzGkIIfzH/kwbnlFhbAWiU2MIUvntZ2/clLvSdx9/uHc+tp3IMEa7MPq14pDVenhzWL44PY3bKmvRzZcAjJMMpJ3xj3AhtAwLGkxKr0Pe/21/Gn5q1jSbiHyyKavyIqkE9Q7aYAk4Ggfs7BpJFQaulUHfZNymVe9ubPZAnv8NbQa4di5zK6pZ7I7k0PSbX8uRehcnvUalw54Cemchiktzlr4DNWh5lg0xSEUJmUP5M6RpyCs5V3QJEF7z7aOB/6vwna9OjdvS8LPxpSCFtO+17ry74qZtSoO/IFO6ScpoFGDTAMNu3JSE5Lreq1DNH+PXz5HkuZmclYumwM5HCv3okmjA7mVyNBsXtlRj9/oEdvsUE8DW4MZsfSagoVAjUt+CQTP7Zgd+3ueupm3c4dw0dIX8RuhLkdJYLc4saRFsb+Wkxc8jgLMzBsRbVzcfj9I4IO9i1ifNJrn+5cjhIVT2cfYiyykUQzOsRD8nLX+VGp0T0x4H7Is5jb3pMVwkKrpQITJngUcWPj32CasxjdJMAANfQ6p90LtEtqtFFTI+BChpHd9LN3oxv8idKsAfwcu0UR/dytKxwebFHTlBdrRZLENW1sqOHXBE1y94g0uXfoS16x4gySvg7vPO5x//vVMbjptJh6nI3FjHdDsD3Hfuz8T1g1ag+0EwqmpODSVG089iDW7Kli0eS8RwySsm2h7GxCmRA3qeL+oJvkfJbQppVWhkO6wS5NvHnYczpATc1E6NDsgpFJekljZo6mCg0bZFYCmtHh+248cO/chWo1wrPrKHi+TQ5O+QtYdCa4ZxJnpCzfCcyzCNRPYVyNTE2mFuHblOzR7WxBDW6GolRVZ68DToQWHhCWbSzi21zjcSvv4uRQHoe3O9pQodqXlZ7+tZ1BBDkdOjBf4547UkCKe+OmWyZbmckYP7sG7t57N8ScNRB0QAsWOipT467hj3UfR4zCiZKoZm2iEcfr+xoQ0J5OzB+HRnDy8+SuCZoSwpRMydUKWTplaCz1DCM225XA7NbKGKTjc7TeWiRXTYwnAJTQmZw3i6F5jmZA5wDbujMKtOKK+Xu0TbMgS7A6mdhpfC6XlNhyKxqqGPTRG/LFIiMRuLnzf6DPJcCbb108dQtwjQincx3X7F5F0FQj73uhcDVmle6nWuxbFpzk8qELBrTi4dOAhDOiZHZ+uFCDS7fO5sucGrszfxDMDF3By9h4gxKKSR3hpx2x+qy1nfnMeC5p7JlZjyiBnZq+j46vLHYUrSdcieBUdr6KTpQVxq+0xK/taxJOboBnhrvUfYe2jF6NLcXBWn6kxQ9uOdh+LardyUu+JCcUBYctgoz+Jcj2Pff+GXGCV22n15r+BNhhDehJsHQQy3shVyUCa9cjwUqSxi659QxQI/Uy8v5QD9Hn7OJZudON/F7oJ1e9B7ckTA1ZR5GlCQZKqhvlb4TpcigMl+sBxKw6Oyh/DtJwhuDpM7gqCiGlQF2ohYIYJmjobmkr4qHjJv3QI1Y0+NDW+Ai/Z7eT+i49i3uNXctpBo9m4t6pD13sL78pSRDQVIiISdWcY59oQTkUj1eHh7H7TABiX2Z/zkg9D6yCy70rmNbBPNi6HPYG/tP1nPipeQk24BZ8RxJQWaZqDXk4/dxYuZ3xyiZ0mCv8GKdeDNgqc0xCZ7yO0vgjXVEj9m11m38Wk0Gw6aNbjI1iqUHBkxxMfp0PFW5bOURnj6eFOo8Cbxd+Gn4TLSoykbSurIRQx+H75trjPa3aFcHToDaYJBZ8R5Krlr3HcvIcpEVWk91LRO0wgJhbbfNHGvFZtfDUj2GWIxo7Ynw3hRFNEIYCxLbgmtnLu0WN46soT+OjSSxmb0Q+P6kR0msxcioO7R53KI2PPQRUK1xeNZWJGhm2pKRRO7D2RPkmZcWu5FY0+7i68ySzbW8k0auhKYNym8xNCBeFkTyiVR0vH8EDJONb7gkDi+P5rSAGRnBDYkhJ0qbIrkIZHSaxucwqNPw06jMWH38dvh9/D+f1n8MSfjiMvIwWXQ0NTFZTBfvJ6NHNfn6WcnL2bc3K3MyqpPrb9Jt0kYtn1dmGp8XT5GDoTByGgn9vHwWllsRepZNXg46E/clfhCv7eZznvDJnDE/0WMDq9J708mczIHdolaWqIdG074BAqYzP6clhGKVoX/e/ClkHI0nl8zHF4O0WhIpbJxdsm80vgbMDVaU0VRBZYNdjRpQiY2xmffzluLSNWTONUVIZ7faSrCuC0ya37RGTdIcimq5F1J7QdaYdtexDec6Lpvo5RyhCEEn3lutGN/43oTvn9DoRwkZf3HP90Xo60wghhgusYRhVewDPbF1ATamFKdhGXDDwEiWRR7TbMyGqyND9bAymURuIfhmHLYIevch976xr5WalYndzbddNizID8WHRrQH42LscuwrqBMBMFoy7FwaDNaRQNGMLJx82iItCIYZn08KTTOzUTh6phGPvoQaZKtqXv4KXtP/OnosP4sXJtXBWTheSwnCRuyvuMOBNA2YTwXohIuihhk4r3DPCeAUBtzc1saFhHsupnbHIDjc3pWDUujG0u23rCaaGND5KhJdPisNAtC6SkJRDi8U/nI4GLjpjBZUcfAMDGHk0s2Vwct7+wbjJ71bZE8XXAxSWZR7LI3EBTxE9ZsAFTWjEzxbvWf8xZfafiVLS4Xmk5rlTbz0nfSoIbtAywo7WBn4p/IM3hZXxWf36uXJ/Q3FgIUHsYnDh1OKkkceNzX7F2VwtqSgrqzEbMTp5K/VPyEEJgBb/B1fw3Hi90EOlloqRcgcPVg93eh7hy+wHoUmDgYEbeCA4tnAC+W2knTho4RmO1PMZY6z084mDCODFRcCkaYzMKCYW3MK+qFVVJoldoB9fumknQUgHBT42FPDLEw+SkjWBWgKxPvF/2Cz+0PpUwbsI5AYc2iunWhzxeETU6jeqzBHBh/xmc1Nv2ZasKNuE3QvTOyuab+y6mrsVPstvJSQvv5J9Fv5CqhdGETaLaLrkuFT6ujU+nh6UXkv4MgTdBtjd/FgLu67uMZypG8XHtYJ6vnMRtvRcyLa0CQyrU625+aezBS4MWI1Ju4qldXf+mp2QVsbppDxWBRnRp2i9fvcZwcf+DyWEFzfW3ostDE9ZzCJU+rhYG61eT7RhLRdiLgYomTAyp0GJq3LcrSN6oOxnBQyCD0WtsgqyI35gM4mq9izcG5fFo1TGUhxyMyijk+qLpKMYvIMNI5wyoP5m4FJ+5A5tQJYFzMiLlaoRjGFLNhrh0pAAli250oxvdhGq/EM7xyOQ7Eb47ARPCP9BLX84jY75FKPEplWcH78UI/EbYMlGF5B8lE5jT1F6p51YcDE3tlbAPS1qsrN9NQ6SV4Wm96Z3U/oBK9rh4+LJjueXV7xDCrlS75/wjyEptdxQ+d9Y4Fm7YzfbyOhS3E5GdhNIQwDLsh14kEKH0yx3s3lXKJ8kbcLmd6JbJJQMO5szR03jk818J6tI2rlQlOQUu6uqDSCERgwIYPcK8t3chh+ePSjAgVBF4HXnEBzsVUAfst+XOpqZSrl6XhGAiljTxBDSa5uag61Y0VCYgpKIvS+HZW05n3Z5Kymqb+GDuWnTDRI8+1F/7YTknTxtJVmoSQ3onNqIG2Fleh8eptZfZY7cZOnLASC7MnMKahj38ZfU7ca7WumXwzu4FWNF+Yx7ViRCCe0eehmy+BUI/0TnCIaVFZvBePi8+goh0k+5M4oDsQSyq3YYV1SpZSJyKxvC0Agq8mVz59Ges2WlPhEaLwKpRceSCKSxcioMR6b1xKw6qg5XkNN8OhEGGcCqA/0Wk/3X6uVr4fNh37A6lkaIq9Ol5IoprEpbQoeVeIALaUEi6FJpvJEkN8mbRLzxZPpqScAqD04ZwdvpbnLFkK4a0IxeWnE5EqrFzDEuNV8tcHDj1M6RRgqw7DrqIsPw+LNpF7R2gbwDpx6sGeGHgfG7feyCVES+9nH4e7LeM/n3uBeD+jZ/zQ8VaNKHg1Vy8OvkKeqVnAjAzvRGXYqJFL4noQKoqIvGpRKeiMi29CYJzQRsN+iI6RuwUAeOS62l1jmVTUxl/2qFyQGo1PtPBDw19OCClCvRlyIaLaA1fknA6KoJbRpxAQK/j17LPKQ2Z9EsdzpFZIYSyDRmcTZrm468Fq3m0bCyasNClisTBAHcjpyQ9gYMQrw6ay1Plo9gdSqPI08RyXy7VehIhU+fpPfVcPfBjxhgn0LWdQRtM8hwVPNb7HUTmPxHOcdFBsIXiMvA9XbaXQbfPxD0T4Rhpj2nydcjQr1ESBwgNkXrb7+y7G93434NuQvVH4H+E9klAB6vRLgNOuiC2iIyshdDXaCIccyu4s3AFc5t6xSIAE7MGcGrhAXGbtqTFTavfYVWDbTBoScn9Y85ieu4QakMt3Lb2A7a1VJB1XDJXFhzJtD5FpHjaQ/3bSmtYuqWEYyYP49qemQghyLvxDB477xm2r9hFOKq7CoUjtNxcAJrEiBo8vrlrHmMz+xGZVo3Y5YSQgsiJECiQeJBxURWHolIdbOa6wUdx+9oPo1YJAq/m5rR+J4Blge9RQAUlG5HxYtSVWyYYbrbh7vWfdOhZpxDUJGYPP7LEQ0ei4lQ0NpfUcOr0UazZWc7nCzegG/GTX31LgKzUJGaMHoCqiA7VX/b3H81fh6NDb5Jkj5MHLzmGHpm2+Wkvb2aCO7qdHGprmQIF3iyemXARGcpuZMNPdEUmhACnYjAuuZYFLfm06AEmZg3g0bHnEjQiXLXiNba0lGNJi72tNZQE6lm9s2NjZ4G1LA19QJAjZvWnf3Iei2q3ccbCp+jl9PFGkYU7YThbAPCqJiOSGgAnhH9BOiegeE9Fek4BdIRwIgOfxtK6uc4gD/ZbiiUhZM3l9r2TaTU1ZCwCkfh4CGETeZ/MocnzGj0CF6OJLgjSv4wwmHWAykBPCx8P/anDdyrSKGVuXQOzo9G+CHbV419Wv8NVRYfTqgdp3UcvPYC+7lYe6reER8sPwG+lMCV5F7cUrADLiFadJkZ2D+r7IAeF5/Om3M5bVdlsrbaJm1sYHJ7R1sswxJEpc/ipemzMtwtACMG6mu8Yzd85NkmCNwKY0Oy2G2iLDEDj2KxiJqbUUBpOJt2VTWMExiZtjfljpWkR7u6zErDJ4dymfO4oPgALhQ1NpVy/+h1uL+jJ4ZklnY7eRSJxjSDDi9oJFSDNemj5PUIUsfvztZ2Xmg/ZP9ithqQJ7kMRaqKFSDe68b8R3YTqj8Dq/PYWRrY+jTS2IlLvAmkhg1/YD5gOEECKqqOoWbx+wJ/I92QkRG0W1W5jVcOeOI+du9d/zC+z7uTaFW9Q7K/FRFJlNfJQ6Wd80vcGUqLaifnrd3Hba99jWBaaqpCXnsL7t5+Dx+XgiXn3Urm7mstH/4WQP4xMVsARv29FKGxvqURzCozB7XobTXElpBkNy6R/ci55nnQuTTmKzxetx+NycNPxh5DnSQcuQnrPAssHShZfla3iya2vEzYNxmT25ZGx55Lq8MRtsy7cEve3VCXC09lT2h5I07K4/Y3vKa9rJhyJTxeFdZPnvlzIU1edSIrHxTNXn8ifX7B7Ldok1Tb6bCNhLofGM1edyKj++bFt5LrT+Ouw43hk89doikrIjGB2EJRZQGPET6YrGRmyJ/59wa5hE7FxCxoRe4JtKma3vwaJ3c+vUQ9wy5p3cTsdcQUHSIHc6eWe68/g8a3fsN1XScQyKAs7447JRld94iIQeBMZ+ASZswBFTSKmfdIGxpJpbWgyXHhUg1rdEyVT8efStkdNKJxUMInXdv7Cm7vmoSkqSeppPN//S/q4O/9GNEi5E1qfBtmwz7GKg/SBSI8uH9ur/e+Gk5mCZJB7Muv92fbiWOxureLu9R/bfloyh+t6ajiFiUORhCwNt6LSlqI6MNXH55l7wNiAJSXvVBfxfu1grstfx9GZJZ0E6m4IvAPhBVyQEyJsjOCrhr5owuLivM3MTG9PrY1PruLAnCLm12yOfWZIi9zQneDqrGPz26cWs6NQyHNGyHO2Qtqt0PyXrocGm6xX6kmoQsasREKWzjOVozg8s7TDmEGXUUAcCCXe+gRzt23cuc9iTafdWqYDhJoF3rP3tUI3uvG/Ft2i9P3Aan2ZzmX+AMhWCH6NrL/QTn0EP6ejhsiS4DOdhKWb+4eNIN+T0mUKrCbUkuBh5TfCNEb8lAbq41pWKEKwsak09veDH/xKSDcwTItQxKCq0cc3S9sf6jm9s3B7bfIlfBZ00nRZ0mJ0eiEpDk+cENqyLB4YezYpmgeX4sClOPj7qNPI86Tz/bItvPzhCkp3+dmxpYnrn/yGkhrbuFEIN0LNYW1jMU9s+ZagqWMhWd9YwoVzXub2N77no3lrMS2LTU2lCb35hCmQjfEpRY9To19eJs99uZCfV21nw56qLsdx1c5y5q/fBcCBw/rywwOX8djlx3H/xUcntNUJ6waXP/kpB9/0Iqt32HYMUkqGKX15oM/5PDrqPK4YeFhcBaGKoF9yNJ3oGAay62iIYQkaDRerfPaymqIxJceuLtzUXIreoZ2IRFLir+Mvp85I2M6Eot5oqsKm5lIsGWGgu4kcR5C/7J5C0HKyz+7NcWiFulk0hlt4decvPL7lG1b4kpFJFxO2FFpNDZ/h4JY9dtT0gJRqXCKerMpOf/j0EG/v/g1dmgTNCPWREDfvmREdQ/i4dgBX7TyIO8tOoUIcDlpi9eu+EQHvmZByNzimgPMg2ugpMoBLBHm8/yI0YZHr8OMUFiDwG2FMaaGjcd62Q/mxsZCVvhy+bBwPybfYomvhsRv2GlsAiSLg9JxdDPE28l5tERHZ8VHoBs9xEP4VCKEI+FP+Rn4Y8T3fDP+ek7L3dlhWgPswclwpdEau84+kQwWohZD5YTRC1/Ujue1qhywtmpJtR8hS6OhKlgjVPic1F+k6GBn4EBl4z7Y3UXp2cS+L6H9uSLkN4Zz0B86jG93oRneE6ncgpWW/Ye9Tn6CDsSZxPcAQqWwLZPD+0Ln0FN8j69+ErA8QIr6ybUR6vBu6Ep24kx3uBONAy5JU1bRSojRSmJtBazD+LVQ3TFr87RELzaHxyJy7+NuxD1JX3kD244203t0TVVPQLZMrBh3K4LRevDDxEi5a+iKtRsh+HAtBhjOJnw65nfpIKxnOpFiZ/svfLW1vAC0hGNb5bMF6bjilnRSsadwbly40pEmZWcveFZJ563axancJKwvXJpgXDggVsLfRQHMrqIrguAOGMbBXDkLAwx/NjaXxOppztsE0LaqbWmn0Bahs8NErO40ZowegGyZKFz4XhmXhC4b58wtf8cP9l3LPu7NZtGkvqqLg1FRevvFUFqduZ0NTCUII0h1eenrSOWfRM+R7MnggX0PtKgogJB/WDMSjGGRpFn8dcQFFqflsbi7j7T2/JfR06+FO54Qptonrk5/9RjCic8DQQv5+vt26Y1SKk4cKfiRFjaAKydKWHnzqu4bz0l6g6+hUPKRs4Pn1N/N9Qw6GtPiydCW3Dj+e+kBP5lUtYFfQgyFdPFw6g5t7LWRXKI2lvjy6mpgNLBbVbo3rJSiBsrAHSQovVA7ik9pCQlKDVpNffnuCL8ck0bWqrStY4H8dMGwCJMPYj6j2CT9J0RnlbeaYzF08UT4qqvGy4RAWzaab+0sn4lIcvDxmALQ+0j5O0X6DbXApJuOSanmxaiTX7JzBy8PqUKxmUNIgvIDf1yVFofSElLuZkrObr8tWxaX9ysJJ9Ha1dmmz0g4TzD3QcEr0XPfdpxFgamolb1cPJizt36NLGMxMa0sZC2xC1uG4hRdcxyCcI5COyVB/KlIGAQniMUTWJ5B8LbQ+Z1eoSgNSb0d4TgOU/eogu9GNbrSjm1D9Lgz294DrCoJUnFpfpqRtwDa0BIydSP97iOR4Aevg1HxuHnYcD2/+CktKenkyeWL8+TgVjSsGHsrru+cSMQ00oRKqhRd/XMmzxgpOPWgUk4f2YdHGPTGC4dBUJg2J9wrqN7IP7xe/RCQUweFyEDAjlAfqyXKlkOVKIaIbbKutwoim+CS2h84ta97jm5m3kOeOTxEYZvwkIyGuqTNApjMZp6LFVQPKqJFlKGIwb892vL3jiYVXdXH3Ycejj1f4ccVWvC4nh40voqggh++WbenaFUeIWHRPEYKGFj9H/+01NFXFMC1OP2gUB40awONXHMeNL3+DlDLOo6oNH85fy+JNxbHvAgJu/vAL6keUI5FICY26nx8q1hKxDHa31iB7+LsMJmgCbuq9jpt6r6Mm4sVKsltw3Lrm/ThHcrCLFB4ca6dOjp48lKMnD03Y3nU950IkiBYtnz8orRwhnqXLqGkXkBLS1EYMaRc6hC2d57b9xPcH30Z+ylBW1u9mfWMxc5sVlvkOJ0mxogaaXZ2bSg9POjtbq+N6CWa5UlFyf+HT9Y8T6kCSLSSXb0rli+H72mJXaCM/vi6/FcAzA3+lWXdgyjFx3zmEyXk5OwhKJ4f2Po8hju8gvG/SGZEK9Yb9grM5mIPIehF890PgExLJqkr8s0AB4aEu6RmuW/wiJf46LCRpDi9+I4QhLW7ZM4UXBs7HpZi4FIkmkmjTuyXCIKFitAsM8QZ4sN9Snigbg9/SmJFWwY291ka/lSQ8r6SFSLoA4ShCNt8W9UyLLiMjyJYHUTJfR7oPAaMEtP4Ire9+j6Mb3ehGIroJ1e9ACCfSMRH0NbSn89rC4fsiWg5wHwSRZSRoGszOwlEbxxdM4Jhe4wiZOklau+D8ggEzGZpWwKbmMt78ahX6ToEeDc9/vmADj1x2DJZlsWRzMV6Xg7+ecTCj+nctEHVGnc6TNBdFqbZ26OP563j8k3lYSCxnMsqUJkSyfV41oRaklAlvqKceNIpXv18WIx9up8bRk+KJwFH5Y/i0ZCmlgXoMy0Q3LKw17SkREVaiDvTtMKSJFVL48wtf4g9GMCyL935ZzdNXn8i0Ef1wOTRCEQNLStxOjWkj+rK9rI6KenuCOueo0bz923IihiSs29t+55fVfLJgPTNG9uf9285m5fYyHvnoV3Sz/brohklza4hgpAP5k1Bc2YRwqij9dYSwSXGb0aYpLZpNF5lKeJ+JN90S7Aim8dOO2dw36nRqQs1x32tC4eIBBzM4ei0My0QV8RGB6lAz7vBWUtR4gf0fJVMAJg42+dPjPvMbYUr8dRzaYyTjM/tx7NyH0aVJ2HLTuI/tuBUHqU4Pfy2ahGasY24DaELDQuPBMWcjlHSk6BQdAWp0D3ND13KI+zm6/s0o+/i8DfGtbYQADUmWM8I/+i7jjr2TkYAmLB7rv5ixyXX2gnIriEMS1rctLV2ELJPKiIev6vvhVhxc2H+G3Zg7+A2JZEoknBcokPY4t61dRHFrbSzyGDZ1ri46kpd2/MzecConbzmWAZ4ID4+7kmz9XQi9/zvnuj8o4JrBlGyLKanzujhON3hOtgtm2gbLfQLCETW0NWuJH2sZFeSD0AaCNvDfOLZudKMb3YRqPxAZLyCbb4XISttvJfUOCHwO4e/YZ+d1xyQ7XRGeR/vk50E4x+9zP6pQ4shUGyZlD2Rsej+e27kmQdBS3dTKk1eekLDOH8GmvVU89sm89uhSUMFcmoZ2qD2l9vImCugBLjx8Ik5N4+slm/A4HVx+3GQiqUE2NJUwNLUXmqLiUh28eeCVzKveTH2wlVfeXk1zXTsJ0H2CoZHe7HaXxeyGzuozldmLduALhGOpvZBu8Pin8/nwb+fy3m3n8PQXv1HV2MqUYX25+MiJKELQ4g/xWskvvFcyG2uqRNUF5sJ0CETbbEQM5qzZwS9rduLQVFxOJ4phxKJYVx8/hdyMZDwLHXGkCp+G3JKMFVFQhyYaZN6y52BeLfqxy7HVLUGV7uX+0vH0S21BCEEvbyalgfZqKU1RGZZeQHWwiRtWvcWu1ho8qpO7R57CwT1G4DfCXLTkBe7r7WGkNxCLUP1x2HYHzY4L2RxspSMJM6TJuYuf5ay+Uzmt8MCE1Cu00xCXojEpayDTc4dyaG4B3qYTuatXM2dlptBkplCUOZPMDDsqenLvSby/d1H8UQiFejMPWxTfVbRofxHgZOxqysTozbS0SuaM/JKQVHF3sEuwIcF9AoR/iZb4t0nxBQIDp+c0VkcO5pQ+AcZn9mN6bvSlQLi6EGh3NfYOhFXL1paKuDSuLk0MafLq5Mv5tWodeY5ajkn5EWfr6bbu8t+CA+GaAp4zkK1vQeD1qIDfwiZbB6Ok/R3pOQmMrbY2y9mhqtg1CyIraK9OddufdaMb3fhvQTeh2g+EkoLIeD7uM+k8EOnLhMD72G/YHScKC3z/gJz50HhFTASL93RwH/dfOgaHppKTlkxNU/sDWQID8vdvqFceaOCprd9RHWrmgOxBXD7wUDRF5eP56zql6gT4VTzChUtTeWD4mfgaW0lOT4ojVkIIzpk1jnNmjaMu1MLFS1/CVxZEIumTlMPLky/DrTpxKBqH9RwFwEHXjuCCRz6gvqWdmGyfE+KCMw9hU305q1ZV8f7328nPSouzOwDYUV7LK98txakpGKZk8pBCzjt0PBYW92/8kp8q17XbHWiAIlEnNmPOz4xtw96mxIhYKELQv2cmlx49mX49shjUKxspJUu3lPDNkk3x+zcFco8HhgZiruS6NNGEQr0sIJL+I66mU4B2R2xDwjcNfXm8bCwOxUVvbzY/V67n1uEncMe6jwibBro0OL3wQCZlDeTMBU+x11+LRBIww9y1/hPeTs6lMthIwIhwT/FEXhk0F69q4FXsvnN/RNVieC5mk34MunDyj9F2U+ziQF30GC0MafHh3sUka54u6UKBN4uBKT04OG8YR+aPBYhaLoQQwqLI2ww0g/4Rxa1XcvOadyn21+IUKrq0KYaCIMXh4YhcN/j/i/UvihOsrh3HQUVTTJK7erGRFsI5AbK+QAY+gsCngA+bfFio4S84rdfZCMfg+PW8F0R1V/uBgHojPdYxIXZEQlAfbqWvYzN/SrsVCO1HiiWwLQ5CnT5LjPYhVHDNRAgNXBOQgWdoJ6QWhOcgrWZwDEVGFkN4EYR+RXpPRmiDEd4zkVYl+P9pL+85AZF81f7PtRvd6MYfQjeh+i9ACIFIvR2ZdAky+E1UuN5RoCzt1h1Zn9gd30M/2M7Soe+Q7mP+S0LPp646gSuf/swu/zctLjx8IqOjZf8yNBfpu5/asE65nEHvnD+T486iKeLnwiUv4NODWEj2ttZSGWzivtFnsGFbacI+FKHwxpQrWPD0fK49/Xb8YwtwZadw2YWzOOuIiQnH/cjmr6kJNcea2O70VfHPXfP4U9HhVAQaKQ82UOjNIj8rPcGlPBQxWLqwim1l9YQiAtDZW92ApipxRE9KeOW7pSgCDEuycONuFm/ay4hjkvi5ckOCd5RQQKbsewazpKSivoXDx7dPpEII7jr3MDKSPbz988o4UiWiAv10zUtlqAmHojE1p4ibh52Ax+nFSHsUpflGIIREQ5dO3qkZhao4SXK4+aliLbMr12NIk1xXKm7FwTG9xnHZwFmETZ29/tq4JsBhS+eypS9zfMEEQFKlJ3HalqM4JK2US3tuJt/VFl3Yd8QqbLm4aF2IqvDHCATJDjeX9D+EhzZ/GbcvRSgsqNnS5TYilsHDY89hfWMJH+5dRJ47jYNSrAQyJ5FcteJV6sJ+JBCRJi5Foygln93+aiSSN0tauToz2CmC9AfRwQMpEZ3HQETb2uiQ9jBC8YLSD1JuRAb+SefUH/o66Eyogl//gYNyE3Eczlkrlifcf4ZlsaDyN/6U9g100UInAa5jwdhoC9PjzqvTPaxkIzJeQ6hRY2DZQqJ1h4q0WqD5avvc2p5JwXeQjjGIzH+ipNwIKTf+gXPsRje68a+im1D9GxBqHlIkk+D5IrKjveokNN8EkTXYE64HIisRaX//3e1KKSH0BTKyBtR+iKRzGNI7lx8euIya2sVkuneRlBS0l9PXI5v+zDf1eTxWNhlNBDG2PM7tI04D7ImxbRINWTo/V67n7pGnUru2BArT23tzSEl+ipf6hZV8/PQPNBw/EulUCSmCJ75YSFBKpk/tzbt7FhCxTE7uPYkdvsq4CVqXJuubSvm4eAnPbvsBh6KhWya3DT+R7NQkapvjIw27K+vjROK6YVGQnUplQytmBx8sS7b77oR1k92V9dRsKyWc1LWWKMeZisxIpr4lgJQSRVFiHlQCu51PVzj1oFF8NG8tgbC9XSHgtAPHsNW9he2+Soyohmpx3XbWNu7m/o1f0qIHmJFxOLcOSCLdlYPXezpf9szhi9LlPLX1+zhhflnQ9mN6d+8CkjQXZ/edliDeB2gxgnxSspRUzU3QjGBIQZWeRESqUXH37zOTBsNFaTCCHk3lBc0ID27+IoF+mNKilzeT9U3FCd9luVL4aO9int/+U6yqr4fLy7uDFFxKm+7Jjd9xOK1GJK4iVRGCrb5ydMvET5gvyreghEZyba/1cfvYFkhnbWsWM9IryXMGOpxVZ91TV+hCxyhyEOmPgdYPoeZ1+MIRrRrseP+Fka2vIa0WRNLFIEPIpmvA3Lqf/WqQ+g/mVJUSMcvoTDEtJPnOOnRLdGHA2gXCP9tVhfuD5Uc4hnU4pRHE3wcKqDm2D5yxgfhnkgX6RmTr84iUrn2uutGNbvz76CZU/y78zyV+5j0VIYTtnq6voz2cH4TgJ8iUPyOUDAC2t1Ty+JZvaAi3MjV3MFcXHYHquxdCX0W1Hy5k+AfI/ACn/gEF6qOgg2xWbJ8etS/1OjxWNpaw1AhH56EHNn7BDUOOTTi0tiiTc8ke/D1GgRZ96luSo7Jz2bJ0Oy35qUhNaVNAYymCN5cs4S3t+1il2qLabXi1xEa5VcFGnt32A2HLIBy1Tnhw0xecMeZQtpTWxC3rCybaDgzIz6FXdjrLthYjBgUQPSIQVLA2JUNQjZ2DR0lsrOwQKm7VwVOTLmDQoT1oDYZxOx3c+tp3LNlSjKYoKIrCAxcfHVtHSsmnv63nhxVbSUtyk5nqJVjbbHsvSvh26SZMTw2my4pb5451H8esIeY1Olm/3sVZfUewuuF7CryZOEQiUWpDyNR5ZtsPvLV7PjNyhzK3ejO6NOJLGCwdhAcFgYnCWn8Wl20/mI+G/kSW4/edyRt0NUamgDjS2wZVKPx5yFHMzB3GotptNOvt6Vi34uDmocdx2bJX4vRVpUEfZ249hPv67WBEihPcM5GOCzCs+BRZxDTidEUhy2B2U+84QvVrYyH3lIzHAl6sGktRchYvTLwYzXc7RH753fMD7Hs/soA4UiUbQeuDlCFk/Zl2ul2kIlLvgNRHoqaZAltDZIG1F1qfRVpNthYpsmL/+8WAlpsQoX7AKOIbCNuo1r04lD9aHRwC+UcaTncyXFUyIPMdZNONYFWCNhiR/hRY9QnmrDYioG/u4vNudKMb/13oJlT/LhKEprb2QUZWIPUdJNbWq1GilEFVsInLl70ca79SVdJMUK/jlpzPaBcRh8HYgYwsA99D7Z9LIDIf3BlURFLRhBUjU2CLnvsm5aBJNabHdQmNYwrGoSkq/XvnsPuzdYT7Z4EQeGtamX7xsZRsLkdzaglBEKPQh9Wh7D9s6ShdZNacioamqDEyBaAKFdwWTk3t0kOqfTnBdSdNQzdMzv/hZayeAdBAWqDlNGL8kolqqKR4XNw6ZSY3r38HwzJREHhUF3eMPIlxmf1JiTqyp3ht0vXYFcexvayWptYQA3plkd2hD+LrPyznjZ+Wd2mnACCEgtnggJ7tx21KK0E706wHeHXHr0SkgSYUUhwe3Ipjn6RKAk16gF+qN3J232nMrlxHVYdKQIHtJC9jyyuYCJb58jg6oc1IPMrDSbgVCO1jTncIjSuLDou1Qfp4+vW8tes31jcV0z85l0sHzsKtOrqMg1VGXFy+bSTXFB3BudkHkQac3+8g3iteiGlZaIpKT3cGxYHaWFUkgEdLA1w06G7W+LO4v3QsYWnvQZeww+/j54rZHOVa1MVe24wrJeCkSTuJdZFTOIjfOh2jhgx8DP6XiYnYZRDZdBNkvBEtKPkAjE0d1glC8ANQMujaXbxrTEktw60MJ2KpmCioQiClTV5Lwil8UjuIM3N34RBOIALOSeA62C5oMTsRG7kvK4UO6ELrJBzDEDnxhRFSyQYlE8wA8VE+l21I241udOP/GLqd0v9dOKcSa+sBgAP87yAbr7AJkAzRzk5UUPNB6QHAwtqtcZNO2NJZXLOBBDYjg6Bvp0ty5hxNL7ea4J5sWha7dzQT+DkFq9iFrHGgb/ZyeuZ0AO796hbys9PwlrUQHpJH/XHDuezD2VjDejAkNcW2eu/g8dQrNzEtkay649zE3aqDWT1HxqXrwG4RMr5XIbr5u+pcJJLdlfUM7JWF6B2K0X2hgKoJsgdpTBpVwMUXjyRIhFcnXcGVRYdzZdERvHLA5UzPHRojU3HblfDxb+u55rnPOeq2V7nxpa+JRJskvz93zT7JFNiu6j2qe6CWeZHSrnpLdXjtCFLH8ZZWzNTRkBZhU6coZd89zqQJskFDbxYsqtnGnSNPjY2lisCrurrogShwRN3Bfy/tNyujjEnpDhxCxalopGhutA73jqqI9qo2YH71Fj4rXcau1mp+rtrAKzvnkKp5yPOkxTnot8FC8tKOOXxRupzl9TuZXbUeTSgMSMnjzpGn8MyEC0nW3KjR43cpgut6zEcSYW/YxZPlYwhY8ds1LJPmcAVdV/1ZgAtyFvNJ6BVOWK1w78Yv0a0uxiD0LYkVgWFovBha7ulEpqKQMvqb3NeYJo53mqbzVtEvHJ5Ryrjkei7v25/pWbmoWKhYbA+mIlAg+RJE9tcomW+iJJ1vt3rZL7wg2ooqPJB8C0ryZX9gPdvqRWR+GHWZdxBzSXcMQyRf/Ye20Y1udOO/hu4I1b8JkfYwsvkmu6JGeIEkkOUxMgIuUPJs/YZjKCLtUUR0onEoWsKE1WR6bXsGq7LDpxJanyfBf0iaCOeBZPWcyZ2RN7hvRwOq0LCk4N7Rp/PUC8sJt0pYZ2uGLOCLhRv5y2kz6Nkvj7d3Psfxd7yB1diClLY+6YEPf+WFly5j47OfE4j6OUkpySrJo6aoLhZ5cikalww8hLqwj4+KFyOBU3tP5tIBh9AvKZd7Nnxqv7UDD405mxfeWJagjFEEdCyqsyTc/dZPrNk1AlLiF3Y6VM46ahTv7lnApj0bAVvnc3yv8by482de3DGbLGcyj407D58RxKO6GJzaE0UofDB3DT8s3xITmy/ZvJdnvljAyH75BMMdeuh1AcO0KCv246hIoX+4J5kTJRubSuIafTiElpCyA0GL0XXrERkSmPMzwBAgBRV5MHZKP16ZfDk/V63HpTg4oWACHxQv5vOSZYQsHU0opDrcTOlxCITf5ffsBlQBj4w8kCZlGpa0cKkO7t/4BSvrd5Hq9PK34SfRJ8nuhxc2dR7d/HVcinBO1QZO7j2Z5ydewl9WvcPO1qqEfUSkwes759KiB2JRuN2tNcyp3MC0nMFcN/hIFtdtJ0Np4MikTxiRZN/Pw711XJ+/nDuK45uEK0JhXOYAMNWo55d9Hm0IWhI9tIVnt/9MxDIIW/B2dRHn523DqURDsCLZdvruEr8TfXLPRCRfjaw/I9qGpeN1U0DtZ/fei/tN2q1l7MbFbkidBcH5BPNX2PZPbeHbyHpE8jUAyNDP/BF3ezAQWZ+Cmh97VvwrEGoOIvNVpDTA2AGooA38L22rG93oxh9HN6H6NyGUZETGS7G/reqJJBh6uo9ESb3F/l5a6JaBU9E4OG84L+/4GT1iYkoLt+rgvH4HgTNoa6ji0CktIFIR6U/HOr0f3u8mDigIUhVsoqcnnSXrSyitbYpbRUJclCikG1Q2+tq5H6Aogu+WbyXcsdIOWLmpguTmDOjfBIrEKEkiLScTNZjMPT3OY8qwvrEWL4f2HMmBOUXUhprJc6fj0ZxcV/JDHHnSFAWPy5GgowqEdT6dv56UyemEc32ELB0FgUtxMq9qEz6jfUKKBBt5acfPtl5HQmWoifMWP4dHc2JJyej0Pjwx/nwWbdwTF4UK6yZfL9nMF4s2xkxA9wddt9izpZXiPnVYWvs6DqFyZdFhrG7Yw/L6nYQtwz5eVSPDmcRef23cdhQEkZWpEFZAtrvH3znvM2YNH8JVRUfEIjvXDZxAX35gcWOIHi43Fw+9nhTPAKya2WAlkpw4hOeSmX5k7M+HxnbdzNZnhGxdXYdro6JQF/YxIr0370+7jopAA5cue5m6cLx7eciKxEVYI5bBgtotnLXwGRojdipcExFOH9S+nkuxGJvcPiYCQYrDzW3DTiQnuS9Pbj0GX7iYW3qvQhUWUsKrVcN4v6YInR8Rsp1l6dL22mpPBwbAcSCEq/kjruMxaMMQ2gDI/gkiS5GRDRB8H5v8CJukec+N6iUVOwctkux9ykbAhJb7AYFH7Xw/6UizAkQyMrL8jx2P5xSEVvDHj38fEEIDR6L7fje60Y3/M+gmVP+NkGY1qH3sMuhYBMGDcAwH4L09C3h++2wsaTEyvZDHx5/Pu1Ou5Z+751EX9jE9ZzBHJH8DwW/3sycNkXwlwjU17tNUh4dUh4dNe6u4+63ZcUSpDfPW7WLmqAEcMKwPboeG06HGkQ0JJHucCX5QAP5ykGXpgD1d/fXV73A7bL3V2IG9eOaqE2OkKklzkZTc3sUtPdkd50PlcKicfchY/vnTCsKddFURw8S/wsWpFw5je6ScXHcaxxWM55oVb8QtZ0grIcJnIfEbNklb27iXr8tWUtGQqFHxhyLxRfSCLseLuGWEXc3e4VejKRpVwWZKA/U4o+nAoan5/GXYcZQHGrhh1dux9KAwBackTefTwFb06M5E3wDWCD+/RhpYtH4jn6cv49mJF6NgQeO51Ia8LGoZjCkFuwMPcP3IOxiQ/jSy8WLsyT1E187pHaokLckXizawakcZhbkZnH/oeLxR5/xMZxKpDk8cWTKlxeDU9nRlvjeTpydcyCVLX4oVJbhVBwdkDeK3mi1x0S0B1ISaY58J4LHScTwz8LfYMvW6O/qd4Ky+U7l+yNH49CBnLnyKxoiCIfsAFn/tvZav6vvwfk2R3R8wRpxsnJW7A2cH8bclQ/xc5+e3xmO4IPs3irxN0W/2c2Fbn0F6jkWoPcBzDBILgm2RSxOsYmh9FtKfQMgwKOngPABZc2B0nNuWdWKn2dquhwuMbcjaI+3tOMZ1+r4rOBHJV/7+8XajG934fxLdMeD/BkhpYDVejaydBcY2bN2CB3CC+2ik1URt9aVEWp7g/2PvvePjqO627++Zma3q3bIsd8u9dxsbg40x1fRmegs1BAg9EEISCCEkEHrv3RTTm8EY9967ZVmyei9bp5z3j1mttFqZcD9Pcj9J3r34GFuzM2fOzM7qXPsr1+UQISwk25sP8dst75LpSuamoSdy/5hzmZdVD8EPiNWgUYiv7RDIOIf4DqzdXRbnudeOmqY2rnnsAzbtK0cIwX0XHYvboeF1OfC4HEwb1ocL5kyI7u8obSRpyT68K0ugLTY9JqUkENYJhHQ27ivnx22Hrw/5/cXzcDs7zjOybw8uP34yj1wznyGFOXSV5pISjD1u5hlTuWvYaTy2+8s4s2gFK25bZwQtW+epqwYWgOjiWOtxORiQn4l6GCdbh6owID+LEbkFOESk2xCwsPiobA0lvlpajSCtRoAZeUPJ92QwIWsAJyvTERVurDIX+rI03nt/F32yI+fxGiijfAgVpJAELZ1tTWWsrN0D5kEW1wteqy5ClypWpNPvV+uewnKMhvQnIelySH8K3BcQ+4y4Ed6OiNT9by3m4YU/8OXa3bz81VoueujtqIyEIhSemHgZPdy2VphXdXL/mHOxpOS7qm1sa7L1ygal5PPUxMuZml3E6PQ+3DL0ZO4YcSqZrmScin0/XIpGgScrhmBJoEpPBbxIvAQsBw+UjY+8Jll4cBVr6vfxbeUWWvRAVJri88Z+nLXzWF6oGh4hU53fd4GZw8e6AAEAAElEQVRT0eI+FZa02N9axeIGB1fsO5YycTm2aOY/gHBEUmPY0aTmu4hPqQbtLkCtP9L/GrLhwogvXhe4TwRtNDjGgJoPVoN9LDroq4kjU8452CTLY8819Tc2sUsggQT+45CIUP0TIH2vRtzp2wmHA1yTEam/R7Y9Aq0PkUWAc3IUpqeWccme2egSNjcejB0nvC7SAdgZGqTcGenwa093GdD2BJbaC8UTK40gpSQ1yYlDUzF/otj6iU9W8NyNZzJnXBEDe2az/WA12WlJTBpciBCCE6cM49tXluBdVowwLKQA154ams4cg/TGt3kHjTB3rnqX6UYh94w8g2SHHYVo0QO06UEmDink7bsuYNm2YrJSvcwZV4SqKEwe2ofXBhdy/gNvcqCqgbBhoioKYd3g3R8243RovL1kI3VTGuLOOcDdjG4plIQ7CuY712m5VQe9HNm4HE0x2x2qQFVVQuGOuidVKDx6zSnc9vxn7CitxutycPWJ0/h2414q6lvok5dBU2uA4kUWqRPSkBlhMlxJeFUXW5s7uu6Cps4HB9eQ15pLiz/IquWV6FUdPoYGkirqyctMobboUBwd1C2TprAPRD6rWrJiyERYajQYFsGG2/DonxJd9D2XQtpfwf86CBci+RoMdRTNzT5cDpVFK7ZFI45hw6SyvoV1ew4xdVgfAPol5/LxrFsJGGHcqoMl1ds5d9mjqIqCKS3m5Y/hzhGnMjy9kEcnXBwz39enXc/7patZdGgNVcFmyiJq7J2R6x2MSD8WIf3csXknOwMdnbFhafDy/iVsbSqN6QwFqNG9cWMJYGLWAH476kxSQpngfwkIYEkIWSrfNhUCcF7OFnLNvaD8DN9DqdvkB8DYbxMs2bXWSQEZQjac0+kz2v59VEZ/FkkXRiPSVtUo/qG1jqxF5CwB8yCovRJkKoEE/oORIFT/DOibiC021cE4YNdZBBbRXs/hUizynX7GJteyprUHGc6O9n2r9WHwv9ZlYAFqb5Sk87CEC1p+gx29kkAImu9Auo5CKPY4lv89aPkD8/oYvJm+gMqmFAxTdttdZ3aqkerbI5O+PTJjXr/3grlsuvktAoa9n5CgGBbJxfUERxfgdjrwBcNYkdSVBMJpfpbX7uaOTW/x2MRLeHLPV7x+YBmaUEhzeHGuy6aizI9lWSzfVsLseb2pCjZRlJrPszedySPvL2VXWQ17D9VFdaCChs6BjFIcuk6HHxu4hcEFeXswLfhd2eTovKOkSagckTGUJ5/egD+oR7c7NZXhffK48JgJ3PTMx9EDQobBd5v3MWFwIW2BEBkpXsYMLOC82eNoaPFzyr0v0RZJA6l7dMRQP6EUnYDZJWpnQcm3Br9u/ASBwB/uuqBLAlJnSH4KlWtSkZqFMrINpWc48qpkZEYfULLIdKbgEGakVsh+1SVM3HoXH8nAC+D8O0rWWwAs33aAW597ypZ36BnCjNYaRZ4qIQjpOpsbD1ITbGZwak96J2Xj0ZyY0uK3W96zC80jj8hXlZs5oWAcozP6xD1HmqKws+UQVcHmaHSpKzY3HcKnXUSy5qZFVgKxUiObGg926yfYGQoCTVHRhMrFA2axt6WSLOdZDEzJgODnbG9u5U+l/agIJwNwWnYxrp9DpnCD90LbHBhALYwUpncDs6YL0bKwo0uRmqrU30XJlLTa+Fl1XDKMUHNsUc4EEkjgPxoJQvXPgDYIQt/T0Umk2p1B6HTXip3lkMxMq+UXRVOQ0gR9I/hfJfYXsACRZov1AULNRQovyNbYfaw6UJLs6FbL74Egbge8evlbfL1rLq3iPD5fs5PdZbHF0ZU9K1h4cBWn957crRWOogi6JlWEJblszgTSLuvHQ+s/w1qeBG0qKCDGtCLSTHQJa+v3sbxmN28fXIERMYsNBpuh0IdRbAuafrF+J9+E16P2DSEkZLtTacsP0mtAJtaHOrTaJEIZ34LMC9NBWySakByfWcIRKRX8rWJM3NwFsKDvdHyb3fgCVTH1YL1z03nuprN46pMVMceEdZMnFi1HIAjqBgdrmrjir+/x9m/OZ295XUd9lZCY5S4od9HSK4gyJtRZbB5rQwqtVbZfXAfaiaAEVYIh2LSzCmkIMFSs9akIdxOkGuQEs1lStZ0CbwYLcrbwbcNEGgwXUgqEkNzYVyK6M4cLvA+eedS3+Lj1uU8JhA1QJMqIRmhNhyYNLHsOQoHvwhv5Yd12BAJLWtwz8nTm5I/CZ4TiiJFAUBVoIsXhZmHpakzL5MRe4xmU0oMLVzxBqa+uW/HQdqhCYXtTGWMz+pKsxQqyuoT2k8cCaKhMzx3MhKz+pDu83LT+FVShYFgWx/Ucy+3D36bF3MWh8Nu0p9Sk7D51G4eUW2PSo0Lri0y+zq6ZwqCDuFoQ/j7+eCUTkbM07jMk/W/yD0z8AA94F/y8eSaQQAL/9kgQqn+AsGXw9J5vWN9QTKE3i18NOZ5sd6x1iUi+HBlaAuZ+bCKUgki7D0Q6OEaCvg0II1FwqC7uKNyEJkAx1iIb3gD3/O7rZrO/Qqg2AUEb0M035yAyuASRfFFE5bnjdbcjxMkjv0Hp8TDnHjWGG5/6mNW7SzEwUIa3UZ8Z4u97vkBVFE4tnNTttc8+7wi+ePE7Qn6bzjjcDnJmF3L/jk8Ju3S0o8MIU9jZENFxAU5FY0vTQcJmJ4IoQKZ0/GwaYNUJ1N72tvKILUtLcwBtpsBakY7hw1ZKVzoGcQuLGws2cXJ2CR/UDuDzhn5x85bA5qZScn2FccX1YcNEUYS9iHe55107/gzTZOmWYvrnZ0V1q+zQmb14ynIXMlPH1dckXK5iHnBBXTeq14pA7RPEEhZqvyDm0gyk0Ym0WGBVOxGKpDq5jqf2fo1L1ZiSXMRrRd/wY2tPQpbK+JQWCjIu7OzF3OkcdlrxQFUDiiYQuUFIss2U1SnNWFuSkA1O1CTJaScP4IPGldECc4A7N7/NvtZqrhw4m3SnN65I3aM6uGTlUwRNu5j/84pNnF44mapA0z8kREFL55YNr+NUNYJGxzkFMDStgN2tlTFRVJfiwCEU2sxQ5PZYHJ03nHk9xzBn8e8JdJr3l5WbmJs/ihm5Q7lv1Jm8cmApUkrqtQXk8go/XQAOtP0FGVoMGc/b/puAknwl0j0XWX9mlzopE7s+sn2ubki6pHtvzsBCuv9QO2wZFSUJvOejeM/66fklkEAC/zFIEKp/gNs2vsG6+v2ELIM9rZVsbDzAuzNuIknrKHYVwgNZ74C+FdDBMdLeBpDxPLLlPtA3INRCnFajbYnRvqDrO0EbEW9fpmShtJMpQKg9kcm/grY/xU6w7SGk91RbuwonMRo6EY8wTVV57LpTuW3jG3xf3SFsGDR1ntv+PSf1nICmxvcnXPXXi3F6XSx9bwVur5trHr2Ezfn1GHs7dQWqEoFNosKWgUvRcCoarxb/EL/QCiBThwYHKBK6MTGWSKQmEUc0okkZF+BTFJVkzULgYVxKI5f3yeDtilCMdQrAhopS1A3BGLNlgS1RsGl/OSdMGsqbizf8tGyCgNW7Stm0vxw9miLtNCFTQTY6MAp1jPXpkQhQlyEEjOybT69jYEtTKT09uez3WtQ3x85XHnCjDPaDYse2AqbOytY8DoZTOTaj3cjag3AfiZS14H8jeqwhPQjPlShAZpqX0IRalBQ92s8gVIk63k6zuRUHPbJTURrj5/pmyTKSHS4em3Ap1697kRbdfpbm5Y/mrs1vx9Q4hSyd76u3xRSgtyPN4SVghECIqD1P0NLjVOMltr/hfaPO5LaNb0afl8Gp+exp7dB8spD8cfuHzMwdGu3gjI4hJYcCDYynP0f1GMGsvCIILEQGVoH+M+xfpN+OEIe+Bvdx0c1C62v7dMYQKsX26ZSd6sQc07of16yI36bkIjKeQySkDBJI4L8SiS6/n0CbHmR13d7oQmJKC78RZkPDgbh9hdAQzrEI56QOMoWtU6Wk/xkl51uUzJfAqiWWOQUBA7wXAS5bnFCkxGhbRcdyDAaSumzUwKoHzymg9QO8gBtwI9IeiNnV1UnVvB11DX7ueP6zbq9f1VT6j+pDQ2UTFfureGDBo5i1IRxKLA/PcqZw2YCj6OXJRLdMWoxAjJdbx70AbWozrl46ymA/Sv/uhS8BpCLtzKkQ0S4ykCQpPqakHAJ89HXVcUnGq5ycX4gMKBg/pmF8moWxOAPZoEVsbiSOiF+hJNLl+PcPsCzJFcdPico8dIUibLPmFdsPsHjjvu4nqUjwmni2ZXVLpgCyU5N46MoT+cOYc/h41q2c03c61tE1qMfXoYxvBjWy6GvE1S/rusprVUUct/UkTtx2Ah+2noNwDEdJ/S1kvInuPI27y85m5uYTmbHkNe7f9iH7rXK0dAuh2fe7PXjiVDRcisZvR57B1JwizG40IoKWzpcVmxmQksens25j0ZG38IdRZ/NV5ea4gnEAp6qhCTX6syYUhqX24u6Rp/PYxEs5s/cU1J/4FSMQ9PJmsqR6R1R7C2Bnc3m3wZ2QZZDTJToMRBXppTSRDRchW/4U6ajrTPYEtlpsN11/MoBsugWr9gSkvicyVhCcR9DxnVMBnBGCZUb+BKHllsj+BlbbY1j1Z2M13YTdtdcZCiRdmSBTCSTwX4xEhOqnIOJ/r3eURcOWxoO8UbIMU1qc1Wcqk7IG/uMxtRERU9fIAiU8COcY6pU57PRNIUMNMyxjPAgDq+nXYOyxbSNS7gStiPiuIQVpHEDgQGS9C8FvQLbiU0bxu+3r2djwPRmuJO4ecToX9J/Bd1Xb7KhBRK/Q2uVlcf1eTvrqIc4pmsJ5fY+IpjAO7angb1c8TThoRxbCwWa+PGshfd4eTamvDhlZlO8acSp/3/0FVcF/nP5RNYGY0IpbCMI/I4CgChW3cKATIE0N8dTAJVSHvdxWMpVDoWRcwsSpHMBcnga+SPF1m8Baby+8hilxOdSY+xbSDb7ZsIdpw/ri1GJ1uDRV4cjRA1i7q5QWf4hu5Lg6ICRyrxe/VFCFjCMpyW4nb9yxgOw0mwTvaD7E3ZvfIWTpCAfQM4wiWrHWpUFAgbCCVCzauYWB4LumwujXnof3+8hM2cZRPUaguCbwfEk9SxtXYGGChC8rNtGi++2onBUbOfpw5q/JcCahRcjpgr5H8GJxfE1Qu3WPIhSyXCl8X7O9Wz9Ct+Lg7D7TyHIm8+COj/EZIYam9mRPaxX3bnkPQ5oMTO6BU1UJdGqAUIVil5IpCl7Vyd0jzuCK1c/ERLp0acYIhgKkaG7SnV4eGX8R16x9gYBpi4peNegY+iRl289ieG0k+nsYNXLndPCeA61/iKTn298vCYTB3IusPw+Z8xk0XARme5RMtX34lNyI4GcnGLux6uaD2gNCK+1z61tAeEC6sFOODlDzEJ4zup9XAgkk8F+BBKH6CSRrbo7MHcqK2j0R+w+VNKeHCVn92dJ4kOvWvhhdbFbX7ePPYxcwNafoJ8cU6Q8gGy4CowSwwH0ym/yj+dWGh1GEwJQWR+SU8/ueryKsQ9gdg3uRgc9BHQDeCyHwWqSeSgMZhuZbbF2q1HtRvKcB8Os1z7G1sRRd2hGj69e9xFvTb+Dm/NN4cPWnGJaJddADjXb6rcrfzDP7vsWlODijj20Lsn9TCaqmxsy/raaNpwYuYKNZRqseYFxmPxyKRmWgqdsuLwXJrb02MDejjOUtPbj74GS7BukfaC22Q5dGtBZLlypJisHle2bTZDoBQVBqBNoMCHTuZOsY36mpaKpCqBMnUISCU1MZ1T+fYycM5ut1exDCFsC854JjmDdxCPPueI4Wf/d2JVERUNNmOjoWhTnp9M5N50BlAyHDICctmdvPOTpKporbqrllw+sxHoBCAfLay+0F5vJ01EnNkGIiAwpoVkxAxcDijZLlHNVjBACr6/fGjBe0dOpCrTG3VhMKQ9N6xUR2ltbs5I2SZbHXBLhUB1cMnM2u5nKSNDe9vJmkObwoiBii7FRUri06ltMLJ7O3tYr+ybk0hn3sa6vGb3bcs32tVQxMyWNfWzWqUAiaOioKYQwUKRieXkgvbyapDg8N4baYuXR+QLyqyxY7FQoDUnrw2azbqQ42c8hfz282v8Nje74kWXPz7OiB9DlsRExCeCnoP0LaX6D14YivXtdn1gdtz4BZToxdjbELkTIfGfwwXtrE2Bkhcu2IdOIm/QK7CSAdPKchlHgZiAQSSOC/BwlC9Q/wh9Hn8FLxEjY0HKDQm8U1RXNxq05eP/BjzDf3kKXzUvH3cYTK8r0Kvqfsfvqki1CSr4Gsj8GqAeFGKGnc+f0DMe33y2t3s8wLM1Lbx4+kGMzt4N8PaX+227sbzgbCNqkCaPkt0j0bk2Q2NZTERYs2NBQzb/AonnlrLfUtPts8T5GQZoDbImhafFy+Lkqocnpnx8grACiqQkZmKsdoo6Lb6kKtcREFAJeiMiWljPlZBxACejh8eBSTgPXzH7vOV+CzHNxcPJ2Q7CJ2qsUXmBPZw+3UmFBUyIrtJQR1wxavdDk4ccowhBDcc/4xzJ82nOrGNoYU5tInz65bO3rMAD5cvp1QpBjdoakMKcwhOzUJ3bRYtfNgtDZLVQRFvbK567w5LHjgDfwhnYM1jVz/+Ie8cus5ZGS6uXL1s9GapNgLFKBYYCngV3EszyUnPZmy2ibUE2vjdm8IdRCPPHc6e1oqo++zgqDyoJ9Rcgh7c4rxmUFGpBZy+4j5BE0dt2qnfJ/e83WcufPglJ5cM/hYfrP5bfxGGFOaHJk3jGsHHctn5RsJmCFMaeFSHDwy4SLGZfan3N/Alaufwd9FOqIdujQ5Mnc4tw6bz+7WSv6y/WNC0oi+tq6+mDJ/PbcNm8+N61/BxAIJhjRjaE7IDNOqBzjoq6NPUjaaopLm9HL+iseiNVXNup8bt27m/WGdnwwF+1dcu+SG3/6r+V47okQK0FWc0wSjFOhyTVYzuOaC83MIfdHt9XaF0PojPMf/rH0TSCCB/3wkCNU/gKaoXDFwdtz27ghE15SP5XvNTi+0o+0RLGmgpPwS1DzALqrtvEi2j10Rim0v70AQ/G8gUq5HClcHmQIQGoeqD/DakjqM/SlYQiIkkKkjB1p4NRcel4NXbzuXP739HesOHsSX2ooywhettXGrHV1qw6YUccyFR/LNqz+gagqmbnLrK9fFRa2yXSnMyR/J99XbCZo6TkWjhzud2RktXJS5Ljp2neEhYMUe6xIaBla39zMGkVu7ozXLbrTqxKdkrQNSDWjRIvt1xDha/CGWbTtAdloSQ3vnkp7s4fzZ49hVVsP6vYcYP6gXYwYUxJ1uzIAC3vthi31bBVx23CScqspTn6ywuwSlxOPUUBQFt1Pj12fO4sUv11Db7OsogndZXL3kJdJ6qQSMw5gwqxLRN4iscJHpTeL3C45HUxVuePIj9KACSbH3JdPVEeX41ZDj2dRYQtgy0A0TIySpXCmp0atJ8Wby8m2ncufOtzh/xeNIKblswNFcNvBowlZ8IfnA1B48s/cb6kNtUfX5pTU7mZpdxOmFk/isYiMuVeP6wfMYl9kfgB9qdqB3M1Y7HIrKkLSeDEkrQGJHBjsTXwVoCvtYVruLotSeeFQH2a4UvqveHvMFw0TahEtanFgwnluHnUypL15AtNl0U+L8G/3Mh+10nWMkWEEw1sXuKKvBqD7svNE3dNngBOcUhBDI8KrDHKRga1KFANVO+bmOOPw5Ekgggf86JAjV/yEmZA3gx9pdMdumZw+O3ckXX1jua3mal8oHce1g2wRXCEHfpGxKfHXRhUxBZXByewFtN2kn4QC1H5al02I6SVHDqAIqm7wseGa57VMnXdg9cwKqXIhWwRFzhgCQm57MX686mf2t1Vy66imCpn1mt+Lg6kHHxJzqhievYN4lR1FTVs/AMX3Rk1387f0f0A2LE6cMZVgfW9n5tyPPYFxmf7Y3lVHgyeCNFevYVVaDOdMCFep1J4M9TXwx4hN+aCrg4fIxGFJlXGY/VtUfpui7C6wqDVntRiQbKH1DCE1i7PQg9yeBKWz10W4QNkzqmts4ccospgztw6V/eYeD1Y3R15+4/jRW7Cjhm/V7SPa4uGjuBO597esoQZYSXv92A7ph2N1+EQ6R4nVz8xkzSfa4qG/xU17XHCVTpBooU5uod1o0tkmsblJRDlR0xUQd6cMzRuelaZdQmJQFwMu3nMOdW9+klNiFvz7ko8UX5LevfsWm/RWkZ/bkhBMG8NznqzEqVDAUTCTBkMGtG96kyqqPNgi8cuAHhqcXcmrhRJ7Z921UNsGlOJjdYwS/3vB6jJVP0NR59+BKDrTVELR0BPC7Le8z5IgC8j0ZaEI9rPWPKhTm5Y+J1hX2cKfFRcUAHtzxMQd9NYQtE5eiMTilZ7djtkfBPq/YyMzcofRPyYsjc7plkuwZg+L+GIC15U/w+117aTZPYYS3nt/3XU26dhhiG4POX3AEOKdA0i+wfO+CbOpmfye4TwKtF4SWg1qASPk1QokvoE8ggQT+e5EgVP+HWFm3J27btuayLlu6X2wWlq7CpWj8osgmL38ZdyHXrH2exrAPwzIpSs3HlX4+qB/Z3Ur6djpr34jkq9jWGuDG7acQMEM4hOSBfhtZv/1y/MHKTia/kTCOKQiWKeyrr+bFsu+oCTYzJXsQVw6cwytTr+HDsrWY0uKEgnEMTbOjNZbVBlY1KP0YPHEggycO5EBVAxfc/zqBkK08/tGKbfz92lOYUFSIIhTm95rA/F4TuOHl96lbp7DCGsDeoq0M6VFHuhZGFfZiNi/jIIqQPFA2kQ2NJXELqEvRCFtm3HZZ7UYe9Nhba91ce94kHv9kY0cZzE+IOYYNi6qGFl79eh37K+ojHYA2bnjyI8KGGS1Ov+35z3B1icIFw3qcRGtNUxt/ee8H/CEdS0qyU5NwOVTCfVtQBvtxaiYKkjsK1/JqzTCKg6nR92RwSj5H9xjB4qptpDm8XD1wLmpQI+gwcDs1inrlML6pN6WHYgmVQ1G54alF7CipQjctmn1BXn5pK9JwgWlCigESrJBCtdUY020ZNg22N5dxaf+jAPjo0DqcisZVg45hYelqrC5RQqeisa+1KlowLgHdMviuajsL+h3BnB4jeXzPlx0kshNcisZXlZuoCTbz8PgLWduwH6eixaTJg5bOIX99NGIWsgx2t1Zwz4jT+fPOT2jVA3Fpa1NalPrqmJpTxIX9ZvL6gR/tyJGUXNBvJnluWyqk3N/AzdvLCFp2RG9jWza/Lp7O80VL+NkFfNGbPgYazgfRXX2WwO7+a0N4FyCSr/2fjZ1AAgn81yAhm/B/ACktQnpV3PZw12/g3su6HAfv1/UnaOl8U7U1ur0wKYsnJl6GKhQkki1NpVy19nV+DJzAt+G7+Tz0R+qUE8B9PCLzJULqWG5Y9zIthoEuVfyWxm0l02iRGVErmK4Qbsn1m19kWc0udrVU8HbJCn63dSF9k3O5cegJ/HrYSR1kqvGXUDMO6o6DmuFYoTUAvPL1WgLhDhuXYNjg8Y+Wx5zHFwyzfG0ZmAJTKlz18nxWFxfEWveqFkemlSORhCwd2aBhbk7G3JKE0+fitmEnx+vLW8Sk+dIDaZzX7wjEz1XEBh56dwlPfboyhkyBnRbs3OlnWdJWGu8Eu5Ys9t5qqqCh1Y8vGCYQ0qlpaqXfgHSUwX6EahfRh6TGA2UT+Xv/JZyc2SG3caCthmk5g3lm8pVcmnEs1/z+Y86471WO+vVTLN5oG/WeUjgJdyepC7fi4MzCqWwtruyki2VjVFEe2qwm1JmNqEc2Iqc2kOVMjtnHpdqpWCEEC/rN4L0ZN/LG9OuZkTuENfX74mhG36QctK4kQkpqg80ETZ1MVzK/Hdl955rfDBMwdTY0HOCTQ+sxrO6NrONtvwXrGw4QMvVuO0YF0D/FTpdfOWgOT066nHP6TCPblcKHh9bwx20fEIyct/PYBio7/JkYYgj/s197Enx/B4K2ZlV0Tq6O12mD0HfIhkuwwjuxaudiVQ3Hqj0Oafy86GsCCSTwn48EofofQkqJbLqJ09J/wC06Fl234uDUXrGK40ryZZB8E0HLQ6uh8WrNYJ6stIu5OwuDArx7cAVBs4OshCydOza9yR+3fchDe7ZwzpYMDqh3IJzjqQg0xEUTNKEyeGgWbmd80NGhKmQPdESKfe0z2KRuC+X+Bj4oXc2n5Rto04NY/oUQ+rLT0SY0XgqAL6jTla8FunjVBcM6qtLxWBmWyoaynpgy9lELWSoKFqLWhbkiHVniQR7wEFySSsMO6Kv0wNFZ40hVUeqc0UXSFwxx9d/fJzPl53dOdSeBoCkCRzeiptCh4QSR6IzZJVpiyhgl9pBukpqjkuyMVUtXBASlk2vyO0h0WJpctfo5Tlz8INc/8SFtwTDBsEFIN7j7pS+pbWpjaFoBj0+8lMlZAxmT0Zfbh8/n1MJJ3SpzO0cFUFJNW39KAy1TMi67H17VSZLmwqM6GZneh2PzR3d7rR41ds4uRWNadlEcqdGx+OjQWk5b+hfKfHW8Wrw0RkOqK4KWzoG2GryaM07LanzmAJxdNM0yncl8VrGhW6kGAEtKeno6BG9THR7eOricQ4EG6kKtfFGxifu2LrTNuUXsNanCQst4GDzndhlVYOu3daNR1S3c4JpHrCac3Y1Lw/lgltg/m8XIhguQsvtu0QQSSOC/C4mU3/8U5n4IfccxGUHClsEbtYPp4fBzfp8RjM+Ov51K8lW0qOewYPlj+M0QAguH0JjXczQNoTYyXXYUwWeG4r7BG9LCiNSOCODPOxbxzOQryXKmxClU65bBxD59+Osvsnl80TKa/SGUiBTAiH49mHR0Lo/s6yLgKeG8ZY/awR9hd38tHFVGvHlKGMsyOGnqMJZvPxCN5ridGidPHR6zZ51sJnuYQk1FCLNOAyRfbhvOr+asiZIxE4HfVDk56wAf/TjRrn+KXKVlwGOLlqE6BXKUg6QCB6qp0rLKhdXWQbBCusnWA5Vx1jL/U/TMTuOUaSN47KNl8ZpjP2NoRYhoVNDt0BibFWK75afzR0sCV+2dRZ0R22jgM0PIVhXTjPV81DSF4qoGctKTGZXRh8cmXhpz3C9OmMKLX60hGDZwOVQKc9JpdTRhBTsmrEuDryu2kOb0cEyPUczKG06hmsM9L31FaU0TYwb2ZMy0bN4o/RGJxbE9RvNx+Xp0y8ChqDiExisHfug2OeY3wwRNnTs2vUWpvy6moUBB2Gr3nfbf01rJ9qau6XDwKI64DsH6cNtPZuQMafHGgR+5dfh8AFbW7omJyoYtgx9qdnDfqLPol9SD4rYqwpaBUxFcN2gWinMgUvslMvAOHd6ZErBAHQTmDuKlFESn/SJwTYHwt13manY5VtpmysYBcAw5/EUlkEAC/xVIEKpucKCthjs2vUW5v4FCbxb3jzmHvsm59ouWzw4BSDghq5QTskojR21E1r+CTLrc7uLrhB6edN464pd8Vr6BFbW72dlSwXP7vuPpvd/w4NjzmZI9iOPyx/Jt5bZo4W5X7R8J1Eb81dKcXm4YfByP7f4KVShY0mKqPoLzf/MOvlCYQQU5PH/TmeRlpESP39hwAAURHdetOPBqrhj9H8My2dwKE+MaDAWKojFzZH/uOm8Oz362CsOyOOOIkZx39FhKa5ooqW5gm9zPW1XLUAYI1D4GzkNJ9Gvow+8unIvgHRD2uTQkvd0+CpwhejgyOERLzNlMS2IGJaxJQU3x4g+FMbqk4Nr3+0cYXJhDc1uQ6sbWbtfpy+ZN4qSpw9lZVsPijXux/gcETQhIS3YTCOlYlmTa8N5cOvJuCptyuL9sAqqwS9HzHD6KQ+kAWFVOrF1esASiXwBREIpXSDcs8jNSqGpoRSLpkZESE5W6/PjJDOqVzYa9h+iRkcqpR4zkz7s/oritOoZom1g0hH18dGgdE9MGcv5jb9LQ4seSsM8o572kJluRHihureHs3lMpC9RT0lbLIV/dT1YaWUgq/A1xKWanoqEKga8TUdreVBZnigzQbPijlkXt0ITk1II8ltUUUxKytcY6QyJp62Q/41IdKF32cQoNTVF5bsqVfFa+kfpwK2PS+5LnSePOTW9hGJX8oUCgxRwWBHMX8WQKUHoAbrBKAAc4Z4C+OWJDY2A3jnjANStikt55wjoo6fFjJpBAAv91SBCqLggYYX6x+lmadT8S2N9WzS/WPMeiI2+1dXy0QdieeV3N9yLebL7nkZ6TEFqsaW+uO42p2UW8tH8JYcuILiK3b3yDxXPuYVL2QO4ZeTpP7/0G3TIoSulp295EdHtcisbkTkrsZ/WZxvjM/hS31SDaHNzz2LcEI5pJ+8rruP7xj3j37gsA+LZyC7/b+j6WtBAIkjUXl/afxcLS1TFzNKTFZ01TmdhzU8QiJ4Lkm6P/PGHyUE6Y3GGf8cGyrTz07hI0F4RmVdqSBgAKOPoG+d25sxmQko2/egyKvgKnZi9YYUul5uBY6hv9HUKZ3aDFH+y26PkfQRGCVK+Lg9WNMfVRnSEEFGTbRcz3X3ocD7/n5e0lmw67r+IEaUL7+u9yOHj+prPYc6iWrcWV9MwSBHWNeZllzEyroM7wkKro/PnQBIpD6Vi1Dqx1qdGInNyeDBK840KYm5NxqAq6aXHJsRO4/63FbC6uAATDeufy+C9Pw+O066nCusHQ3nlMH94PhOS5fYvZ1lSGKhQUocR10wVDBnc/sZjW5o7teq82VKVTR5+l83rJMlyqFiNZEIPONgHYEbbOG5xCpXdSNsmamw2NHfViQUsnQ0nCJRwE6yQyqOLOgJNHTOChHR9H90tVQzwz6Gv6unWuyjTYHijggUPHUhlsjqYL3YqD43qOAaDMV88XFZvQLSP6aXQrtjjp3tZK3IqT+b0mIISgLtjC2csewWeEsLDYk5FKkbcJTXSO9HbznCg9IPMNaL7R1gojbEem7LOB8yhQkxGO8eA5DdlyJwS/iMiZOMB7JkLt0f39TCCBBP6r8C8lVEKIEqAVOxZuSCknCCEygXeAvkAJcJaUsvFwY/xv44CvBl129EZJJGHT4KCvlsGpPW2146w3kU03RtTOQ8R8qxUOWwOnC6ECKPPX21o8naBbJq16gHRnEsfkj2JOj5G8e3AlP9TsIN+bEdXbmZw9iBuGxIoEDkjpwYCUHny0YltMBMOSkuLKekK6gcuh8cftH8Yssqa0yPdmMD13CB8fWhtT27K4ejdz859nWspaWy3adQyKawJNYT8/1uy0ldxzh5DtSqHZF+TP73xP2DAJOU1cQmJ2Tl0JKG9rpK3G5G8Lp3DtkcWM6V2JaSk8/u1k3l2ThiW7Jztgk5j8zFQqG1piSFVXKtsZToeKbpj065FJXYvvsGQK7BTdwJ7ZgG2F8stTZ/Dlul00tXVYlzhUhcLcDAr7JLO+xxb8uzWocKI64eL549hdVsPvXvuGsG7g0FTeSjmFt656G6/ToLfaxv5AKqtbbSkEWevolN7E/neJl/GD+1M+sIH6flVobosvw6upKBWEI+a+2w9W89hHy7j1rKNYvHEvv3nJrnFzOVQmHp/JanNntObIrWjkudOoDnYIVsptyfiaY0mWrHBBfuw2C6tbMiWlfcNlm4qSZKKpKka0f9D+v1PROKlgPNcOPpaHdnyM0tgRYRUIilLyqdom2bGrDgToqCT1S+PXQ0/ioZ2f4BAqtxeupo/bj8BAEzDaW8WbI6t5oSKDj6tDONQkrhp4DFNzimgO+7l01VO06AEkEkUIspzJXDPoWJ7bv5hn932LKS2mZBfxp7HnsaRmByHLiMxJcP3+I7itcBNzsyWYpXHXDIA2ApHxDLL5N106baNtGaCvRSQ9Aoqduhep94NrdiTNNwipFmE13wVWHThn26bJoc9sv87UOxDOid2fO4EEEviPw/9GhOooKTvbs3M7sFhK+SchxO2Rn2/7X5jHz0KK5onzQdOlGZOyEFp/RPYipAwha6aBbO3YWRqgDeh27P7JeXECli5VI9XRYaT62O4vWVi2iqCpoyBIdrh5c9ovyfWkHXbOmSneuHYpp0PFqalY0ooTlbSkRWPYxw1DjqM22MySmh0x13rnlrdZNH0BaeGbwP8yhkjmLwcnsbQpNzLHL3hp6jWEm2zCETZMenuaaXOEaTE7CntNK8Ddf/8aK6jiC4b5Rcl8VMXEtNqVzjtoUedapHakJ3l4/LpTOeO+V2MvTgg0RXQbubromAlcfvxkHKrKrJufPOw9EwLuOm8OqUkd7+uf3l6MLxhLMvrlZ/Ha7efyzL5vWHFARykKoxTZ0cjP29bS8mlyVE09bJjUtaXywcZhnDFxO2WhJC7ePQcz0vuhDvZjNmjIVgfoAqRA9TtYubMEOaseoUkwwSdCmONVWJYRHXfrgUqqGlq5++Uvo+cL6QaLF5WjztOjHf2mlByRM4TPyjcQsgxUoaA3Oul6q0SNG8XyYykREVIOQ1ItbJH+talQ60QkS0bOzmS7ciAmVadbJrcOOxkhBFcPmsuK2j2EIjpXmqJytHscf9j7PTJCKHUs7n75S5b97Tpm5g2lOtDMwNCPKDGF60GU0CdckSW5IssF7mNR0scAsLGxBCMqrSER0qIp7OPT8nXUBJqidG913V4Wla1FShnzEfFZDv5YNpV5Q+/Dqp5hi33GQEVkvoBQMpD6BrqNXgHIemTT1Xbo0jUZkf4Uwj3HfsmstztlZYt9I0M/Rg6yx5INl0HWu4hEfVUCCfxX4P9Fl9984JXIv18BTvl/MIfDojApi7n5o/GoThQEHtXJcT3HUuDNjNtXCBci4zkQqdgdQh5E+t8QERX0bU1l/HLdS1yx6hk+PrSO/sm5XD94Xkz3Wsg0+NP2RVGj4fdKV0UFFy0kIdNgae3OrqfGsiQrdxzk09U76J2Tzuj++XhcDlwODbdD4zcL5iCEQBEKw9J6denEEozJ6ItT0bhy0By8amx3kyZUXC1XgbEPkCiylTt7LSFbayRo6bQZIR7d9Tk9s1KjrXBFuQ08WLiSTC2IioVX0fljn1UooTZ8wU6q11YXmfMIHJqCo5P2k9uh8ZdfnESLP4iqdKmjkbJbMtW+l0NV+WrtrpjzdoWUcPfLXzL9V4/zt/eXYlmSFTsOoneRVBjdPx+HqtLo90ffo+i1SDOuyzFsSB7bOY4zd87jok5kCgAV1GktqHPrUU+oQ+sVQhUCMz0Uw2akIlEyDNsWCJu09u+Rxf7KerSuHYmmwCpx0c7TFSEYkJLHc1N+wWUDjuLqomOY3KdvzD0UAkYXFvDU5MuY02MER+eN4Nj80bg6STQ4FZWJmQPo3dwL8UM21LoAgSPk5MheQ+M6+zJdydEoaQ9POu/NuJFJWQMIWwY+I8hLW5bGve26YVLvb2NF7R52NB8irPQh/jtee6F3AIJf8n3Fdzy88xOW1+zCkhYnZR7g+1Ef8ePoD3hq4GIag4ditLeCls7ulgpm5Q3HqWiIyCTcqoPTCicjg9+AbCAeFtI4FLmpud28DtELkm32/EIrka2PIq1I+j/4RcT3r/1ZNYglZkFk/alYNdORwS61VwkkkMB/HP7VESoJfC2EkMAzUspngTwpZbuNexWQ9y+ew/8YvxlxGkfkDOaAr5Z+ybnMyh122H2FcxzkrgKrHpQMRKRVe29rJdesfT5Kjna3VhA0dc7qM5WFpaso8dk1Sro0+apyM1NzijgqbzjxcQJJSUkzf175PSleF2cfOYb0ZA83PPURG/aW23tYkj9eehxnzhxNfYuPkf3yGVzYsQg8NO58btnwOjuaD5Gkubhz+KkMTLHrOrJdqRhdOgY1AriopHMq05SC4UkNHAonI5HUhlrwup387eqTufGpj2nwpzPE28Rnwz/Fb2l4FYOgrtEW7L4VXYj26JaFy6GSk56MZUkaWv30zErlrvPmMHZgAev3HEJVFduOrQtURUEIouTK7XRw/CS7vuuh936IKVoXgKoqMURMAoGQzntLN5OV4iU9yU1dsy/mHI1tASrqm/nqo4PIiXY/Atgq56cWTmLH8DaWbimO6kJJCfKQh7qkbOSg2LEAUDp4hTbOh7LUHUkDdnnfBWjTmtE2ZJHp8XL5cZPRTRPd6EIkLYHcmoJZ6sE5oxmt2c3mJQ3s0Xw0tgXZfrCEVI+LFK8b3TCRUtIzO43HrzsVr9vJ2Cw7NW1YJkK8z9eVtt3OiQXjadH9bMg8gJgtcRR7SS3N4vZzZnP08IHstkr5vno7mrCjoH8ac17MtDY0HGBNw/5o2q9Mq0I302P2yU5L4uK1j9tpOynZlRnm1kI1QkEVbPLRcb3PVg3mzZrvCVomTkXDKXSu77kFj2I/v0O9jdzbZwWX7Jock27McqWS407l5anX8sSer6gPtTI6ow/D03qxp+pGBrm7k2iQ0HghVvLN4D4O/OX2myIjxsciA2Q9sQ9mCPwvIIMLIfMtoibJPwkTrFpk0w2QtRDh+Glz9QQSSODfF/9qQnWElLJcCJELfCOEiPFqkVLKCNmKgxDiSuBKgN69e/+Lpxl3bo7qMYKjfsa+lrRYUr2L8kADg1N7Rq02Pi5bFyVTYNt4vFmyjLP6TKUyEFsyFjJtrZ6j8oZzcq8JfHJofcTqQ2CVuXl/825CuommKHywbCu/OnUGG/aWEwh1jP/bV79m6V+viZufDC0jI/gtz4/IBO9NKGpWzOvpTi83DjmBR3Z9hqaoGJbFef2ORPAJHTUjIJA06DY5cisOpucMZkPDAb4IbeCEy3pxTOYJuDwOCH2A1E2CisbdH86O059qh9fl5NTpIzAtC8uSfLh8W1Rws6K+hQ37yhk7sIChvXNxOTS7k65LhEhTFRYcPY4N+w6R4nFx7fzpUXPjrpGjbqSbOt6bsMHjHy9n0pDe7Kuoj3lt6ZZiMlO8BGsF1qo0lGE+hCpxN2Zw8bGzCPYy+OWTH7F+z6HoMZYJcpcXrb8P2Vlw3QKrzgGGQOSHcWkaIgtCJS7wqZBsdnwiBahZJmJUC/XrBaff9woLjh7HBXPG8eKXa7vcC4FoddC7tB9lO/18pu+OuYYqWvE4Ne5aMIe89BRG9c+PiQaCnZb73aizuGfkGQjgkV2f82PNLjtFLcA9KMz18ycwu9cgAO4deSYL+h5BQ9jH4NR8MrqIiK6r3x/z/JspOu6xQfzr7WdIuCwCR1TgD9kdey5hcEbWTpSo1ZID+2bYUUZDKrxSNQAz8kyGLQNVUdjYlsOR6RX2NQiLInes4K5EsrB0JQv6HUFhUhZ/Gnsenxxaz593fIymKBjmWM7LTeIX+TuIg/RB6wORuSiQfD2YhwAHwjkC6XsDjE10/pyADlYDsvkWRNpfoe0Ru9MPGbmew9X0WRBeBQlClUAC/7H4lxIqKWV55O8aIcSHwCSgWgiRL6WsFELkAzWHOfZZ4FmACRMm/N+JDf0T0Bhu494t77G9+RC57jTuHXkGg1LyuXPTW6ys24tuGWhC5fx+M7hy0ByUblbw9nRDgSeTA76aDs1l1UHfpBwAbhp6IjmuVH6o2UmWK5mN3/lo1AMAGJZFiz/Iks3749r7fcEQpmXFiGpa/neh5Q9AEEuqtLW8zFuttzO3YCZvlaygNtTCjNwhnF442fYmrNnJ9qYyakJtFKfeRn/zISCIlFAV9rLJl4WKxTF5/Rmc0pMb1r1sF7ub8OnWLfy66FS++UHDIWrYW51FZfPhvcyklEwZ1odpw/py5d/ei1EvD4YNFq3YxmXzJuF1O3nplrO599WvKKlqIGSYBEI6LofGXefO4YQpQ6PHfLxyO4s37GV8US+OGNGPHzbvj45rSbDaTYu76So0TIu1u8ts7a5OrzkdKrVNbTaBqXdi/WhHIJ0RKQOPy8E5R45hV2lNR4pRlYgiX4y4uwwLrGI3crcXVIHoGcScGOJP557AZ1/to7Ssgfpe1dSm1XXUQ2FhpAUxdVtA8t0fNnH/Zcfjdmn4O9d6JRuQbFJ/0E1I796sWEbu0fiiXod9T4BoKm9l3Z6YZoWgpbOidg8n95oQuYeCotSehx0nXUnGITX0TuK3es821B6tYAhwSPydPiJhqfD7som8Mnhx+96dRhMYSn8kKp0jPpaU+K3YCGhIJsVZ3OjSZG9rJWMy+uI3Qjy4YxFhyyBkAWi8WVPE3Iwy+rlbiYce+SNsb04ZBALIgBNEErFkKjozMEoQWi/IfBvZ+gCY9WCWcdioldAS8goJJPAfjn8ZoRJCJAGKlLI18u+5wH3Ax8BFwJ8ify/6V83hnwUpJdevfYnitmoMadGiB7hqzfPcP+YcVtTtiX4TN6TFS/uXcGbvKZzcayIfHlobfc2tOLiw/0wA7h97Lletfg5dmhiWyeweIyLpPntBu3jALC4eMIvapjZOCb8cMxfTlKSneOiKHhkpMWQKgNaHAbtjTREmTuGnsfVDzlu+GYFdo7Wx4QCVgUam5wzhmb3fRrsBPyt38uzYBxhk3IIQBv09rSwd9RFSJKOmH8WC9Ytt25iQwFyagREW/GHFd1hGEhDb4agIGNo7j/2V9RExSo0+eRlMHFzIodomNu4rj7uezurlhTnpvHDz2dGfdcNEU5VozU5YN7jwz29RVtNEWDd4bfF6rjl5GqoQLN9eQkg3MC0rmgJUFIEmFIxO29rH7QrdsHA5Yj8mLocaI2g6rG9uRzRGSNQZjYhkMyohIQ0wv8oCq91bEWS5m6OOGsK0gkFMu9SO+rxS/APP7VvcUewtQQY77kMwbLC7rJa89BQOVNl1P6KvH2W4DyEFTT+qHO4jLRC4HBoNLX6e/XwV1Y2tTBvelzNmjOpWeT3LmcxBX0cviYogz53GIX89f97+MZXBJsZn9uNXQ47H3Ull3RcM86snF7FpfwWmzMDRP4RrVBAhIGCGbbLojCcUEoV9gTRuLZ7KKdkHmJbaKdIkPLhTf4UQS2OYcEhCqhrAb6o2cRVwX+m4uBS2KS28kTk2hNvi6r8cikJNOJV+bt1+c9oJVAzxkRFj5PZt4Yg0QndQQO1rT90xGJH5MtIoRtaf1o0+iAK4QC1EqgMh+DVo/RHawK6DJpBAAv/m+FdGqPKADyO/rDXgTSnll0KItcC7QojLgIPAWf/COfxT0Kz7OdBWgyE7199ItjSWxnmdmVjM+/4BhqUV8JexF7CwdBV+M8TJBROY29O2/eifnMeiI2/lgK+GFM1DYVJsGg5gyeZ93PniF3HF105N5fQZo9B1k49XdaQpGlr8rNxxkKnD+mDpu8HYHSmI7YCGpCrsjlGyDlo6bx9cwfamQzHSCgEzzKuHmvh9j440hRAgMEAtJGxuB8DalgwBBaToThIRl0PljTsW0K9HJt9u2Mum/eX0zErjjJmjcKgq+yvrcTk0/KHYFN35cyZ0M5qtsXXHC59TXt9Mvx6ZPHj5CWw/WE15XXO0+y0YNnhi0QpWPHodQgiOvOlJWgMdYpCmKTn9yBHsPVTL5uLKw/ofAswc2Y8lW/bHbMtOTWLy4ELe+m4jBTlp7HYX45zaQmCtF5FsQFIHmQIQqgSXCYGOj5vH4eDsntNjxp2YOYCXxRIMTFShYBgW1qaOVJrb6aAgO437LjqWK/+2kJAII0b4sHscJPQJwM7kWGkGbHKanuJhwuBCzr3/dRrb/BimxepdpZTWNHHzGUfGXbfZ5Z5YwLH5o7hk5VNR0+LKQCNlvnoenXAxmmJf8ANvLWbLgUpMK/I0lHo4ZuhILpo1mXOWPRLzGYqFLbmxtKWA1a153NtnDUdFUnkAQbM5joxoQuWukhlMTS0jVQ2z0ZdDaSiFOXkjWFa3k6Cp41YcTMjsz6CUfMDWg+v6mTWki/69P0K4UpGBj2xxTqvRFu+kXUKjvWC/e0ucrteCsRsZXtshiyDSIiKgneEEz7kIR5HdEdhwDlJoIA1kys0oSRf9jHMlkEAC/y74lxEqKWUxEGccJqWsB2b/q877r4BbdcR5mkkpGZiS123JqUSyq6WCF/Z/xzOTr+x2TI/mZFha9+kX3TC588Uv4jSU2ou1hxTmsqe8Lua1kGHywbKtTO7xYER4sH0umk2CAB2FfYH0+PlKYupd2hEwTUh7GJpvtvW1pA7eCxGOYcwvrOO5vYtpa1XhMAbFLofK7LGD6J9vE8ZjxhdxzPjYGpGCrLS49KVDUzl+UnwreVsgxBV/e48WXxAJ7C6r5fK/vsel8ybFdeDphkllQwtbiivxuBwxhMrl0NhWUklxZbzSd9f5B8MGoS7vQ3VTG9c98SGWJVEVBVeBSXhkEG1usNtxnIrFL+cu52+LjkCiIgR4nE765Xd0jpb56rlm7fMEzDASm4+dlj+Fz8Kl4LZV4Qf1ymbFjhLW7S7j4atOYmdTOS+2fEVIRtT1+wdRUDEOuECRaHkGKTKJU4vGcer0kXy/cS9NhbXIvj5UAeFSF29+v55gSOfsWWMYWGBrcrUZQbY1x1rFeFQHi6u3o0e1nOw6prUN+5nxzW85r+90riuax8Z95TGRPl23qCkP8vTeb36iPrv9Bfs5CkmNl6qGdhAqaYBjEpqyFbNTGlIRAtNS+L459nNU3FbFrUNPpritmj7JuZxYMC4ahXMqGo9MuJhr174QfeYnZPUn22WncIX3VPCeipQWsuUPEHjLnp9zBujrIxIIh7uQ9qiWBALIpl8iclfar6hZSO9FEHg9UlPlBPccROqdYFVD7TFAp27P1r8g3ccj1JzD3bQEEkjg3wwJpfSfAbfqZEHfI3i3dCVBU8elOBiQ0oOZucN4bEI6d216i+pgcwzpMqXFtm78yzpjceVW3itbhUOoXDLgKMZl2qmyJl8gjiAANLb6SXLbqQuHFl/sPbJgZwyZAjui1Gwm06ArPHRoDHWGJ7K9Q1l6bv5ohqf3onhndSeBSAfze01A8QxDOr+yjV+VfITDTk+d33cGAM9vXUdbK9G2fYdqyx8oiuDIkf25a8ExAOw5VMuD73xPfYuPacP6cMNpM3E5NAYWZHPBMeN59Zv1aKpANy1uOm0mzi5F0+1jGGbHXbakpC0QoiA7tlbLoSoMLMjm9N+9Yu8vZYTE2FGGvIwU9lfUH7beqB2KopCZ6sXl1GLIrWFanSKHJqEyUAodkNFOSiUKEgsFpzAp8jRx9sAd+JrdvLx8HLpHYe5pvXB3SiV+Vr4+xhxblyY/tu7g4/t+yXtLt/Ddxr1sK6liS7HdIPv1+t08fuOpqG0iWsYjBMgBPtQBvsgsIKyE2FZSwSu/XY/s7Ydh7REtoFcIGVJ5f9lWPl+zkxd/fTaDC3NRD6Om4hTx7wnYz/p7pauwpETxSkRjRzBJVQUr/TtRqvx21swAc2Uaom8AR28dh6LFKbvb16+ww59BhhYiN2kiF6/5IObz5RAq5/aZjiUlr5UsjTm2KthEYVI2J/Ya3+18W/QAshOJX1dfzLN7v+XqorkdO4XXItQ8ZOr94J6HoniQxj5k06/B2I8dqeocbVOx03edrsVqQEoLEYmIKam3IF1T7Oix2gdcEb2qwBfEd3k6wKqBBKFKIIH/GCQI1c/EtUXHMjytF5ubSunlzWR+rwloisqI9EIWzbqVz8s38uCORTFK06lO72HH+6piM3/c9kGUwGxuPMjjEy9jVEZvMlO8uBxa3IIfCBtc//iHfPPgJfzprFUkicWEdZXHF0/imx2jOH5Mc3enwpP1Ku/u28s2/0YUTDShoioKPT0ZHJk7jMsHHm0LQFom7xxcgSktjus5lglZtkCpUPNBzY8ZUwjBBf1mcvq1U7ju8Q/ZWVqNJaF3bjqXHzeZo0YPwBkhDNWNrVz28LvRou3qxjbqWwI8eMUJAFx90jQmD+nNnS9+QYs/yN8++JHVu0r585UnoioKYd1gV1kt1U1tGGYX0VXToqhXDo9ecwp3vPAZTW1BnA7VLmDvcv+mDO3NSVOHIxD85uUvfpJQaapCVoqXG0+bSUlVA3vLbYVvy5JYlowpondrDoygimUYgMSlWIxPr+ZQKJkR3gZu7rUJVYErjtzAhTM2ceSW0/i0ZQ2Dy3OZ38tOCVlxlsJ2FHTVzoO89OWaqK1Q52fh/e+38tBJF3Dz+lcxpN2QELb0mFECxQrrtldgmhIlN4jS6RMvNFB6hDB3JREIG7z89VoeuOwEPJqTY/NH8V3VdoKWLTCrKSozc4fyVdVm9EBznDl30NR5u2QFDFaR1ak4sP30As4A6sCILpMANFAGBrC2JOPM9qOkWHHVSk4MKsJJXL9vJrpUOCpTpTLQiN5JcDfV4eHawcdSFWjindIVMSKjYHffdoWUIUDjk0PropZOYKe9v6naEiVUlu9FaH0Uu8PQCYEPkZkvIbSBiOyPkFIi/a+D/027E9AxCVzToOVeOgiVALVPlExJGUK2/A5CP4BIRaTeixACq/lOCH5GezdjpysA9X+3uzmBBBL4v0OCUP1MRKUUeozo9vW5+aN4v2w1+1qrotGle0acftjxXjuwNKYTKWjpvHtwBaMyeqMqCn+/9lSufnQhgS7pJt00qSl/mJ7u74EwuOD2E1dw+YnzycwcAs1vxp3L6RxIisNu67eQhKWBw1IpSs3nqqJjovud2XsKO1sO8W3lVt4+uJyFpSt5etIVDEg5vBeZ1+3khZvPYsnm/dz10heU1zXz+9e/4cUv1/DKrefidmos317SUVODrfD97cY9XP6wj4EF2Vw7fzqvfrOOhlZ/NPKzcudBFi7dwtzxRVz80DvUt9hRF6fDFmcM6gZOTeWYcUXkpCWzo6Qaf9CWVuiqdt6OqoY2jhw1wDYI/gkTZEXAObPGcO5RY9hcXMEVJ0zBMEwCYYOR/Xpw6V/epba5LRqFCesmyrYUzGyHXT5T7+T2q78nJ7kp2uVnSviusYB36uwIX9DUWVK1g5FqfwIhnaOyR/L2wRUxTQxn9pnC06+sjCNT7SipbuTltzZjFGcjnBZGSFAwXVCRUhWN5lj1GtKITDSoIq0OVXVpxRe9t+PukWeQ5UrlzZIf7UigHuTqtc/zyISLWVq9g0WH1tNqxNbomViQbKHObkA0uLl88GyebvwsRjpCCCDZQJ3ZRMBtIUzbCDxJdeFQVXJdHir8lbSaDkKRaS9uUDC61B8FIvcpw5lEiuamvpPJtyUlQzp1IEqrFdl4FejrCVkaq+rmx93LpIi4rZQ6tP6FDnmDABhbbEkD1/TINQhE0gVI7/mxlk9WvS2TIDTbWibj6Y45NN8BwW+wrapqkY1XINP+CoFP6ajTis7GVlxXUkgggQT+c5AgVP8kaIrKM5OuYFntbpp1P2My+tInKTtmH8Myo8W73XVWdd42qn8+D115Ir966uNYMUopydQW0/mXsFPV6elZi+L5HVZgJoQ7pUCSf42iuNnTWhlrFSJN9rXGavYsqd7Od1XbCFlGtGX+jk1v8e6MG3/y2oUQPL5oecyCXFrTxIfLtnLu0WNxampUMqLjOmDDvnK2llSxbk8Z/qAec53BsMGOg9Vs3l8R4+Xn1FRy05OpamxFUQSLN+1l1sYBvP/j1sMSj3Y0tPp48uMVnDNrDI9ddyo3PrWIFn8oZh+XQ+Wo0QM568jRLPjTW1ExzILsNF6+5Rw8LgfP3ngGlz/8LnUtduTFMC3bG7vUDUKij2/h2oNTeX7wYpyKRMXiUMjL/YcmErDaW/9gRdUellf9FaXcS+qBbH5/9bksrFlBmxHihJ5jOb33ZBaa+zkc9hyq7Th/5HGoX+Wi1/wsSv2RGrtky1ZctwTWbi9qfgjFIVAi1j3mtmRA4sqACZN6ELYMnIqGKhQ7jS3bq4IkfjPMy/uX8MiEizm+YBxXrn4WS1qYUhK2jGiETbgkVn6AN/yLEWqXXjkJMqgiMjuInYUkJHUWH3U3prSY/vXdMdcpiHRlRqJODqEyKWsAumVw+aqnY8hUjiPAbb1WYtb9iOWehEj9DbL5dtA3ARb7g0k2aeryq+/M3lMjEwwSl36TAqymjh+tBmTjtaBvRAovpN6H4jkRJfkKpPdce1+1B0J0OkfwW6Dzs2ZC+MdIbWJnQuWBrPcQjkSXXwIJ/KchQaj+idAUlVl58arqO5oPccuG16kLtZDpSuEvY8/nwn4z+f3W96NRKpfi4Ow+06LHrN5Vyi3Pftqhqq0qaIrCPRccg9v9dRd9QA0UW9BSyXweK7zFrtPQhiDUXKSUDE0tYGPDgShRcgiVwV10hA766gibsaSkoosI6eHQ0OqP+TmkG1Q1tvDq1+t454fNhA0DRRFxkSHdMKlqaKVffia1zW1RGYP2+qpPV+2IIVphw6S8rhlJh0L63S99yYSiwn84x6rGNl7+ai3vL9vCwrsvJCPZG0OohICpw/rwh0uO45q/v0+LLxgtWj9Y3cir36zjFydOxeXQaA103zIv+gcQeWHK9CTO3DmP8SmNhC3BmtYs9M6hGglSs8c2C3w0BCSvvLeZF399acx4Z8wYxbOfr+rW5Lk7+x1fIMwvCifxxN6v0C0TZYAfs9IJPo0kPGirPJx+ZhEulwbVLj5L3k39hENYaWGea/iS935cyvOTf0G2O5WmsC8uDdkc0UQbmNKD92bcyPqGYqSEB7d/RJsZS05bjABORUO3DJuUSaBJQ1a6EJldjJmlnfLUFJUcVyo1oZboa6qicHbvaXxQtpqAqTMpeyD3jDqDZTW7oubhAG7F4PlB35HlCKIhIViDNPeBXkZ7Ks4tzDjlAqewGJsR6bSVLcTDBOe46E+y8bpIB6Bl284034nU+iEcwxFKMlJ4ka0PIP1v2wd4zwPh7EKcVFB7EVuHJUBJQmiJVF8CCfwn4v+Fl9//r+A3Qly/9kVqQy1IoD7UyvXrXmJqThH3jT6bSVkDmJ49mMcnXsqI9A5ScPvznxEIG1FLE0UIbj/nKOZNHIJIuQtwYxfCOkFJR3gviB4rHCNA32i3YdfORtafxqX9xjIsrRduxYFHddI3OYcbh5wQPWbT/nJKi9tQOvX7CwSF3nhJh2BY55ZnP2XmTU9w/J3Ps2TzfsYOLIjRjnI7NdoCYZ76dAWVDS02UZKS4X3z4rz5EHDJsRPJTksiye3E43Qwqn8+58waw7A+eTEF6ooi4nqsLGn9pGBlZ/87w7JoC4T5ZNUOfKFYUiQl5GeloSiC8vrmmA7AsGFSWtvE+j2HuPmZT9DN+PorVVFQs42oPU2L6eT7pjxWtOTFkimI+eQJDUR+iJLqxsg8Os570dwJXHvydAYVZJObnnTYa2zHoF7ZjEgvxIikWIUGziNbGDc3nV+ecgR6QPLic9t46vFNvP/Ndo49sxdk6OiY+M0Q1YFmHtj+EQDH5I/ErXb4+7kUjSOyB9OqB9AtgyxXCnPzR3Nsz9E8Oelyenoy4uYTtgxGpffh+PyxDNDy0Sq8UONA6SRd4FI0ZuYOjW57aNwFpGgekjQXTkXjrII+XN1jJd9MTmL5nOv42/iLSNbctBqxqbLh3gaSVB0tar4QBn03qOnRffq5WxidXIcrIjjqFgaTU6rpabyEYZnsKL+XXf40jM6dq575dh1hO/T1xH6jsQgHV/Nq8VLu3fIe7+79G6bvXeyIVAj8b4NzKvZnFsABQoG2h0H6ASd2zVVvROarUfuqBBJI4D8LiQjVvxilvrp4yQUkB9tqmZU3jIlpA9l2oBKrXsNItdBUBdOyaPHFLhZCiGghtHBNhaz3bL0c4bZ/4Ssdi5kMLITAZ0QLZI09ONru4+lJf2d/WzVSSvqn5EUFDt9YvIEnPl6OYZqIkU5EoYnH4cStOmI82r7buJf3l21l3e6yKNFrC4S544XPefSa+bT4gmzaX4GiCK44fjIfLd8WU/htSdheUk2Kx0VINwgbJg5VITs1iSOG92Pavf3YW15rR6d6ZqMogpvOOJLdZbWUVDcgpV3XHLS6RmsEaUluXA41rtD8jnOO5omPl8dEogzTVls/evRAFq3cHtWvQpG8tWI97/y4kfQkD1on7z+3UyM7NYnrH/+w29Si06FyxXGTWa/uYrPchy5NZKOGaNXIzPTQlNSMKSLRCAtQbAIXVW3XFXLTk5l7+7PUt/jonZvBI1fPp09eBgtmj2PB7HHsKqvhvPvfiDt3+1MFcM+CY3jhwNcIREd0SUjmjxrNnx9ZFqP3VdPUxvsbNhHK7rgeE4v9bdUA9HRnMDqjD5sbDhK2DHTL5Jn93/Ls/sWoQnDlwDlcPGAWAEPSCvjoyFu4af2rLKuNcZhiV0s525vLMKSFa4TGacdNYH6vCfxp+yIawm1MyR7ErzqR+6FpBXwy61ZKfXWkWavJC90LgSCgIv3vQPanCDWXcZn9YhQ7mgxnN4oGElLvgqZf2rdCwMP91/FBbQF7g+kM9jRySvYBWsNTuWrFY1T6M4EZ9HK28fSgH0hSDTBKkIFPwTkJ6XuVricxpcp1W6vZ1VZCyDL4TrHYlDqKP/ZdHdkjAFYDIuMJ2wRZ3wbGNjqiUwLcZ6Ok33eY9zaBBBL4T0CCUP2LkeFKjulOAtAtk0xXMhX1zVz057cJhg2klPTNy+T5m8/C7dQozE2nrKapQ6FHwJDenXyk1RykWQZGiV2zkXxNxzdbfQPQuWBYR+qbuXPTmyyp3oEQglN6TeSWYSdhGBaPfvhjR/poUxLuAyncuOBI5g0bjisSofhk5Q4eeHsxwbCO6BdA7RtEmgK5M4lQLWzcV87zN59FWDfQVFs24bnPV9MdAuEwPTJSSU/20D8/i1+dNiPaETiyX2w3YYrHxeu3n8ehuiZUReGKv75HVWOsRUh+Zgp98zLi6tJSvW7OmDmKveV1fLpqR5QIuTSNI0cPYEB+Frpp8s2GPbRZQdAFBBUsbKFUr8MJHgtGN6FkwGfbNxHsQtjaT+nSNNbvLee2BSdx+87XKNnsI7TDDRZUI8CVjjK5GUwFuSMJ2aba50s2USe0kHYwh9Kaxmhqr7S6kSsfeY/P/nB5NMJW7K/q1janHUq/IC3BIFubSrE6pZIsJGvLSjqIYye0lUlcuY6odIEmFAal5PNK8Q+8sO+7jnRdp+SfRGJIyYv7v2doWgGTswdFx7tq0DGsbygmZHaMhyRa/xSSBgtLV/Grwcfz4tSr0S2DB7Z/xJzFv0cVCpcMmMXF/Wfh1VwMSSvAqnmMjnpBE2QLsvZopHDS03Me83uO592yVUjgQDCDv1fO4M7CFdjRITe4ZqC4ZiKzv4TwahBetNBqzsp9B2ivT3Pz+KEBlPnr0S0VUDkYSuWZyuHc1GuLXSvVvM0+f1wBOewOuNnT5iMUiQoGLYUfm3tSE3aT6wwCCijZ4JwOvlfA2EwsKQuBvqr7NzWBBBL4j0Ei5fcvRp47jQV9j8CtOnArDlyKxoDkPH659iXO/+EJGkULvmAYf0hnf2UdbyxeD8Cj15xCTnoyLoeGQ1W4bv50RvS1u+2kDCLrz4DAR6CvBd+Ltlt9O9R+QGePM4XyUBLLa/dgITGlxWcVG3jv4Cp8wXAcEVFDGsl6UpRMAbzw5WqCYQMxIGAbBKeaKBkGyqRmRKZOssc+n9OhYWDy+oEfOyIyXWCYkmZfkFdvO5d7L5xLenK8lU47DlQ1sLm4gowULwXZacweOzDOCqaivoXXF2/gkmMn4lCVmJTil2t3ccvZszhl+ghy0pLo2yODh686mSGFuTg0lbvPP4aH75qHd2QIOvt0W4Jg2CB7bggl2yCs6jSGfXHzE5H/WgMh1u4u5Ya/L+Kvwy/G2OGNWM1E5hJSsZZmYi1PRzY6QFfs13waKdt6MPHIXOTQFojUFkmg1R+ipskmj3/Z8Ql/Kv4grqap80ysUhcr2naS60qLecWlaPTJyOpW26xAz2V8Zn9ckVRwT08mvx56Is/s/YagpWMiI5IO8QhaOo/u+oK3SpZjWCbbm8rY2HiAa4uO5ZL+s7hswFFcVTQ3Th1dAl9WbgLgiT1f8W3lVsKWQcAM8+K+7/m6YjM+I8TN61+lIVTX5awWtu1LG4G2N/ng0KoOXTIkXzf2YJc8H1xzMLzXsDx8NUtrduKXGQjPfIT7GETqr8E5AVv93AGuI9gfzIj54hOWKvuC6ZH3Lwz46I5MAYQttZOpsw1FQFh6AReIZETKzcjgt3YhetzdFKAevpM2gQQS+M9AIkL1v4Cri+YyIWMAzy9ay3ZtP7tyK5CKBA+IIwR8nwF+O11VHPFo65OXwWd/vIyG5mrSxFto4j1ksBrhPg7C62xrjKjmTRBCS5FWE0JJRyRdhAx+DeZ+bM7s4G8VUwlZHQtC0NRZVb+Xs/pMpUdGCuV1HTVDlmUxvG/sL/j2YnKlb4DOzUtCA0efMCdPtYvxDcvkqtXPsbe1EiPTC1XObpXUPS4Hr3y9jlSvi3mThrDHV8HWplKyXSnM6TESVSj88c1v+Wz1LhwR376nbjidX542g5LqBpZvPxgdSzctfthSzH0XHcu+8jqWbCnGtExa/EF+/8a35GWkcOvZR3HLqam2+rX1KlbLbETKLTS06viaDUwlnvwJBXwyFE3ZKv0DmFWuqLVLe21XeyrWtCS1TT72lzegKgqmdXidqyicJm0TKvi+rQKrr0TtBdb6VGSVC9O0WN60i13lZXxRuRlDmIgRbcityZ0GEDH/3FRyiN/MOY2r1j4XiWRJepDF5wsPxvgWts//L1eeTN+8DD6v2MibB5YB8HXllriuzMNhX1sVT+35mk8PrafUX49EogqFMRl9+dv4C2nW/Ty2+8u441bX7eOkXhP4sWZXnHzI0pqdfFu9jdX1e/nC0ZvTsorxqPH3stkwUYWFLju+F6qKQoM6n+akXly44gla9YWAwKs5eWXqteS4UxHCjch8CWk1AAKhZDDYez97W03CkVo3lzAYmiSJLRrvHoM9jXhUk6DlwMS2xOnpyaJn9vUIIZDOI5HCDW1/pXuV9SRE6m//4XkSSCCBf28kCNX/Ej78ZDdbttRiHOuLtosjACEReWHkAQ+aIhjVKeWlECDLOA/MGkBHBj5HJhcjHCO7OYNESt0eUrgh6x079SeD4BiDVfo+sDe6tyZU8t3pUaJy09Mfs6+ijvRkNwNnurl++/MMTM7jlmEnk+lK5pyjxvD4ouXoXcmRhMwkLxf9+W1GD+jJ3GP6sb+tmpBloIxpxVyVBk0aSIGq2H8sCXXNbTz64Y8IAX9f9S3mqCYMaeJQND4sW8MC72y+WLObkG7QXvZzy7Of8tkfL+OMmaPZtK8CXyheb2rN7rIY65Ng2OCdJZsozGwgS7+U9lSo9L3F794VfL4xCU1RsJxJ4DXAJ+w1VIU+471U00CKGub2wvWMHFbP0p59+HzjfLyqbe789CcrY85vWhZ98zJQFIWohHknuB1qTNpQ9AmCQ3ZU02igjvChNSTRc5STx4o/j7EFUvsHsTINrB/TOsyW22EJdu2p57WWzbx37o1saSrFozp59NnVHKyp7xhDCM6YOYqrT55GqtfNlsZSHty+KEpsSvd+i1dz0azHdm5G59y5PgubBO1ti5Xg2NRYwtr6/UzOHsTg1J7sainvdLytHwWQpLnoikxXMp+UrydsmTxZMRJLCo7JKCPXEULpFPXMdgTxKpJgJ85jSoui1Hye3PM19aHWjlSjqfPors/5w5hzOuahdFj/XFuwl13NLoqDtup+X3cLLtFK0NJwK+2pUgeQBDTFzNejmjwzcAU3lpxAdcgg153KX8ZfjOpJQTbdBC338ZPELPsLhJZ3+NcTSCCB/wgkCNW/AO2K4O02MVJKvt2wF8O0ULt+Qe30JTjaWt6O0Ldgdo5EBaDtKWTOahCpIEN0dBtZUH8yMuMVhKPI1sBxTrKHMXXajE7yAAjSnV6uGGRbKvbMSuXtu87HsEzOW/53tvjLMXwm5f56drdUsEA7BiEEF8+dyKelG6hOKkcq0la4NgW1m02spCrKaypZ//lulN72Qi+cEm1mEw5T47Wp17Nzbx2+YJi/LvyBdq1JKaG5RKL2tRDJFoYZZldLBT9U7cHoEuGpbmzFNC1G9c8nyeMiZJgYpoXLoXHEiL543U6S3E6auxT0/7ClmELvQq4+OhCteXp1+TA+We8GLFt01ADSLZQRAWRAQWTr1Oe3Mj27iPNSH6fI04RTsTht8G6OHfQIodTP+cXD30W76cD2IJw9dhC9ctL5+3XzufJvCyNvqEBRYd7EIbTlNbF5fQ2+aomKguUWyC6J96QkBzdfNos/Vy3s1mNRSTdIPiKEb6UH0+woPCdTRy918n3Vfk6fMYqjB47AsiR7yz+Lea40TaVvj0xSvXbX2ceH1sVEiULSIBk3CiLW7kVRuXnIiTSE23ileGm3ljEdzxiU+eupLGtifEa/GEIlsaVEAJRuqg4KvVkka258RggThScqR/FazSi+HPF+dJ8Ww8HK1h6c2yuXdyt16kOteDQn948+hxy5jGHaZ1QnS1a12pFWE4tltbu4YMXjHNdzDOf2mR6T6k5y9uL5ovcpC7kxpMJN+6fzSlV/VAJclLcbgLJwHoec9zMjoxn8H0bSdyoIhaerp1IdMghZOlWBJm5e/yqvjAzjDC3lJ8mUYyxKgkwlkMB/BRKE6p8I3TS584XPWbK5GAFMH9GPP112PM9+tjJa9G3t8aIU+e20mQUYAllhf0s3LcnCH7dwzlFj7AG7ExnERCgeyHrfVl8OLyXKyqx6ZOOViNwlMUe8sP879rRWRH9WhGB6zmAynMkx+5X4aqkONmNEbEUMaXGotZG/rF6MbNJQFcGTN5yOP6WNT8vX09ISZsPXDYSGNKPkhrEEVMlW3JYjGsXQhErf9Gz6ZWTTf7LtS/ant7+LvSQLZKUTMaijkD4t04mmKOiRxUgAaUlupt3wGKYlKSrMZsyAntQ2+5hQ1IvLj58MwO3nHM2vn/nEFuSMjBU2TDKTYvWFXlk+FrqmtVo0lH4d9j3JjjTuHDYbZ/0fcCrt8hWgIHnnx8+pbtRjiYqq8PuL5wGwRztI0nHN+HY5IKSg9TBZVbCegBkiPM5ErXGTY2Vw0aR5PFL+cZScuBUHJ/ceT58eaag1StxaLIAcdxp/PeECXEd7eGPxet5fu9n2pqu12+8VRVDbbItdKoog2e2M0c1SFEFGmodHd33O6rp9cYrnYJt3t5mhGNKkWyZP7/2GywYeTbrTS12wBTPyHgvs6FA7ATOlxRO7v8KUFmY3NjA7WsrxGyEqAg1xr5X567l9+CncsfFNTGmhCoUcd1LExsWkJuzmoj1zCFoa0IhLdfH2+CEUetyI8F+QLWs5KS3A3BSFd+oG8nSlHdH1m2F2t1Rw0FdL0Ahz6cCjO+5ryo0ooR/p42lmlz+JVsuFieC5qhG8WDUMh2JFolVfcNPQEzml8GmkvgP0TbSaaXzfuBIjYlKtS5PqYDObGvYyydt93RUAjqmIjMcBkOHNtp0NILwLEM4xhz8ugQQS+LdEglD9E/HiF2tYvq3DZmXVzoNc8/f32VlWE91H7vVCQMXRy08PVxsHVvWMFCjbUFV7kZdmJdL/JrHdei5wzbAXFjUb3HOR4TWx+1iVSBmO0bLZ3nQoKugJ9mK3p6Uybv6aUGIKl2VYQJNKKGCCYc/r/jcX885vLmBqThGrd5Wy3vEeIjccU1elWwYj0wupCDQyLK0XvxlxWjQaYFrx3m0AnWSJkEhOHz8WWefkre82oqkKiiLwBcNRuYZ95fWkeT28cPNZMeNU1Nt6X4qixNjd7KzMwY4V2fCFHcRCgkNG/4kFrE/l7xVruPWo2NkKJP6ghtFFyNKyLJRIQfya+v2EHGG0kTaRsYBWwx5aCLDyglRRSUaWi99mnMEfN35EwAyT3JrOCcMnUpicjktx4OtU7JyiuVl05C0kOyJF/Klwx7mzWbathOrG1g4CqRss3VJMSVUDrf5QVCpBUQROTWXsgJ4sYQM/lu4kZBlx9VIqCuf1nU59uI3XDyzDklbUu69J9/PE7q+4ZdjJLK7aSomvlsGpPblswNHct3Uhe1urSHV46JOUzbamsjjJkM5wKCq9vFk0NweiKUS34qBvUg7Tcwbz0pRzMFseJkctIdk5ECFmQngVT1aOoMVwYqIAFiHLxzP7F/PHvutpVyNXhJ2KW5CzlzdrhtBidrzfQVNnYdnqWEKlZEL2ZxBeiUdrxWQj7dFfEwXTsh/QoKXz0v7vOaVwIsIxDBzDMMNtCFaRqoaYn3WAZEVnna8PpsjG1orrmvpVQB2CyHwRIVRkeD2y4RLai95l8CvIfAHhnHjYe5dAAgn8+yFBqP6JWLunLEajKKQbbC+tJtypZibNE+SEXnu4dMYG6ts8XLzidALtwkSqZMGxY5DSQjZcCGZZlzO4wXVsx49qISYmsZKR8SmU/im5bGosiS6KmlDpl5wbt1+qw8uAlDz2tlQRrBVYq9IAGS3CBmhq6yBv4wYWkJHpplZ2UKS+rhYKXEF+O+ZS0t22ubLPCPHg9kXsbqnAv9WJ2knfCcCpaQwelsO+cDlpTi/3jjyTAm8mN5w6gwVHj6OpLcBX63fz4hdroscYpsWWA7GksC0Q4q8Lf4ipoWrHmpp8gpaCV7WQEtxpYXyNbqIUSwFlcKSLT9g/VybV8smKMEMGDOG4XnsihccKVXoa88bOZdGSRdHrcGgqk4Z0KFz39KSjCTUa7RMR2tK1X+4P2z5g7P4xBLenE9YNqoHL1r3HB7+9iCcnXsZFK5+IkuGwZfDIri/4zcjTADtt9sC2DzGPbsFbIQhucyBSTKSu8fmanSjCrldrhyIEYwcW8NerT2bmt7+Nkh2JxCFUDNlu0Sx5cu83vDbtOub0GMV1a1+IsXcJWjrrG4p5ePyFvH7gR1bX7eWdgyt4ZMLFZDqTUITCpSufiiNT7U+JW3FwWu/J7GyuYHR6H3a1VETvk23MPBpp+ekXvBq0SvsovdQewXEk1UZqhEzZsFCoCTuhS6cdgIEgWQ3HECogqsEWMz8lCdxz6OuSjM9sYUNDcUwqtB1ml+tKdyQxKTObO3q8QKoaQhOSs+U+SL4V/F/HHQ9Wh94GINueJraDMIhsexqRmSBUCSTwn4QEofonojA7nS3FldFFVlUEbocWQ6hOGrOH6+asRlNM0r1BXrr8A15fMYrP6/pTMMTDSeNHgFUDZhXxtRfN0HI3UklCuOfwQTUcgUq2o+P3s0QB32uI5MuiR/1i0DGsqy+mMtAICLJcyfxqyPExIz+791teOfADDqGiCIGyMwXL7NT2DzhUhWnD+3b8rKk8fsFZLFj5dwxMruqxlXNy92FKhaSmU7HSHka6Z3P1mucobqshbBkYO7PAjF3Mjp84lHuOOobukJ2WRHZaElsPVOJyajEWLBld5BYaWrukrhTLnr+Q1Fpubtw3g/v6raHZcGBOaIMfnbYWlBSIfgGUfp0WZAGoEt20+Ntbs/FeOZ5M1w4MpYAxBXeT7Eznl6cdwV8XLsUwLVI8Tm45cxa7Wyq4a9PbVAebAJs8KELgUDQcQqUuHKuhFTYMfthcHO2wlNiRrhU7DpJX5IxZ+EOWwecVG7hx6Am06QGuWfM8ftOOgGl5CmquxNJBColS6cLakBLz/hmmxcHqRtRI12TnfKUpO8QRLCQ+I8QL+7/nnpGnk+NOjSFUCoKaYDM3rnuFTY0lBC0dVSisrNvDu0fcSLLDzZTsQTFEySU0CpKySHN4mddzNALBtWtfQLeMGOLVGg5w84bXuKgwnUmiAdFZygIJ+hImZ9+Gbm5mXsYeJIIvG3ozNTW2KB7AtKDJcFEdjn1O3IqDSwccFbd/9K0Xgr+MO58PSlezpmE/K2r3RK/DrToYldab05b+BdOyOL33ZC7oN5M/DXYifB0q7W5hQuBpbBX0+JQqxh7Qt4JzDLYsQxfI7q2NEkgggX9fJAjVPxHXn3IEq3eV0uIPghAkuRzcetZR3P3Kl4TCtpddWygVRen4JTswt4EbTlyFr/oI7h55ut1mLZI5fCFr0E4FumbzyK7PmTYk5ssuAp1geAfeTkcka25em3YdOxo3IMNrGJKcglMLYXcswcaGA7xe8iO6ZaJH0hNyXDN8m0lnDOqVzW1nHx2zrV96Do9OupiXdj3J2bn7cCsmdopDJ9R4A+fvvYjKYEe3FWokGheBqgiy0/6xpcoJk4fywfKtHKhsiBTvS3530bEx+/TISI6xhBGZBmJcC8ISSIfFxuICTio+FZGtI7wW6jEN4FfBYSFcXdTsDbAOuiP3VKGnNo9R2fZ1CYpp9g3j6U9WYUbIc4s/xK+e/4iGiaW0RSxRFARuzcVNQ09kSnYRB9tquGrt8zE1RVab0q0+lFNT0btJxwkEhmWypn5/zBMSvb+OCIXKD4EnCQKdrYQgJy0ZVSicXjg5WoyuCcWmNJ3TvUhaIl1+Nw45gRvWvxz1ebSQbGkqjTHbNqWF3wixsm4PM3KH8l31tphoXFiaVPgbqBQNVAQaaAr5CMlu/Amx2Nh4gJ3NCrPTR/Gb3mvi9rkg9THOS9XRIs0a87MOoHajeSaF4Jp9R0ajWQKYml3ESQXjmZ0f3ynbqgfY31ZNhiOJPsk5nNV3Gmf1ncaWxoM8uedr/GaIISkFfFG5KVpb9vz+73AoGmdnBSBuDiHi6vQ63+HQ9xFvoNkQXktHg4kHvAsOc1wCCSTw74oEofonIjPVy/u/vYi1e8qQUjK6f0+e/WwVKR4XSW4nM0b25xfHX4QirwNju32QtMjMeZyHe82MjiOUJGTSL8D/AsjYb7dhS2FHqwekbXS8J5BOphbEodiLV8BU+bza4MxYLoRq7mCEcQUIHXwK0v8kZH+CUHPY11oVt6gLrwmdqo7cDo3fLDgGtzP+kZmYNYDx446F5q/oXC8isfDrVRiyI0KgDPNhbUgF05ZQSHK7OGPmqJ+8rxv2HuKz1TsZ0bcHp0wdgcupMXZgAQXZaewtr6Oh1U9Rrxwykj0kuZ20RQqwpS5QHBJMsJZkQljYl+SQOI5sQPFYWMnEXCeAsATKxnTMeg2HptIjw8XQpKsg4AMkMvApZc33YFodsRXDtCgL1eLpdB8tJEFLp09SNs26n2HpvVjQ9wjeObjSLrhvAmNpBrJLjU0gbPDCF6t56NoTcCgqiml32zmEytC0At4qWc4PNTvQ4yx4uiArDIc8uJ2anXJU4KhjCnnjwDKadT/pziR0y2BS1kB6uNN46+CKaIrLqWj0TcqhJtjM2Mx+vDTlGr6s2MjrJctAyhgy1RkSybeVW6gMNMYQRxm5FwC61Ron9hk7BgQsi28bCzg7J41BnuaY11Xhj0lzOw8jIAtQGe4g6y7FwV/HXxjjI9iOHc2HuG7ti7YKvGVxYsE4bh12MkIIRmX04enJVwBw28Y3Ygr1g6bOp+UbOKfnbKTvZTpSd25wzrLtobqFAb5XkL7n6Xj+BOCAlHtQPPMOe00JJJDAvycShOqfDI/LwcyR/QH47Stf8fX6PVHLj6/W7uKiYyYgcl+F0A+2ZYxzHELrGzeOkvJLwtpoVlR9hT+wnnHJVTgVk8v3HE2DmQ68iktx8MeDE3hy0BLynX4UIfmxpSdv1hRw5tDY8WTLHyJGrO0bDKTvWUTqXRQmZcctMmmOJMIeN5ZlETZMrjhhCkMK4+uuojC20jV1YUlBoxExhI2sGUpeGNfYAEep48jLSOHsI8eQm54cN1w7lm4t5rbnPiOkGwjA63byxh0L6JmVyr2vfs3X63ejqQqWlDxx/WnMGj2Qr9bttuuomjVEnRNZ4YZARJkcICQZX+LHmtDGjkAmQSu2Ci3DncS84ZPZ6q1iQH4W1x71DQ7ho6OUPkjvpNex5JzYe6wLrC5EIWwaXLbyaRyqRpLm4ulJVzCnx0j2tFby4zflfKcXd3vdJdWN3PPCN7x4/dX8afsiKvwNjMroQ32wlTdKlsVJFsQV+gvAFLint3Fajym4hZO32r7j8apPoUt2bGXdHt6dcSMIwYdlawiYOqa0+KBsDe+WruTBMQuYmlPEsT3H8F7pavxmfK2SKhScioPJWYP4rGJDjJxEVxjSIs3hxWcEf5JYaaqHBmsQsA6wvSBLQ6nkOU08SlfVeg2JEaXFuiXYHczFrTpQUDClxb2jzuyWTAHcuuH1aGQR4POKjRyZN4wpnWx1wNbN6qrDta+1iju2b+d3RX/G4X8QLL9thhxey08Lg3an86UgRPz9TSCBBP79kSBU/0J0JlNgRzF+3FrM+XPGg/vonzjS/uZ72YbNlPudwGSk1BmbYlGlOzAiqRKHUNGVVM7bPRc18iteojAzNz9+QKuxywYTLNvWY3LWQOblj+Hzio04FDv98/D4C8gem8Yvn/iIkqpGnvpkBQ5VsefeHULL4zbtDaRhIZA6yEMuu2C6WSO028OGlHIW3XcJDlVFN00aWvxkpnhxaLHk5olFy6P3UAL+YJi3v9/I9OF9+Wb9npiaqluf/ZTXbj+Pr9btjmwRyLVpdKnaBwTbWrO4I3srZ4l93HtwEkHZ8VHwGyEuOnFcVFbCangNwrERvCSXxeBeOewsrSGkG7idGieNHEVDdiVr6vcRMnU0RcW0TAxsfa2gqfOrdS/TagQJmTqBCg+SeGFLAEtKtpdU8f2KEh6bfQlCCOqCLZyy9C8x0SFNKEzLHszk7AE8t+87miJpOqGCNqkVhEr+ADcv7V+C7upeN6pND7K2fj9XF81les5grlv3IoZl0hYp7r9xwysg7fohswtR0lAYkNqDAk8mNww+Dl2ajEgrtIlLp4L8zuX4bsXB5QOO5pPy9exvrYrzCmyHKWFAzydZXfsEQ5U3+VXxDIqDacxJr+SWXutwKZ2jZDaZktJ+Trb7M/ntwamc1+cIBqb2YHBKTwqTsgCQVgOy5T7Q94JjODLlLmpDLV3ObVBS+zSTHE5E0uUIzW6wuLDfTL6r2hatXSMy92W1u/i9GMYfxtgRKatuPsh6fo7SeixCSLP+Z+rUJ5BAAv9OSBCqfyEcmkJnMW9FUXA6NKSUyMBCCCwCJRmR/Eu7BRuoDbZwoK2GdQ3FHPTVdVo8BetbXVEyBbbejVdxIkyBGfkVLICj80ZE95EyBFYLOI+GwJu0pyT8ZjIvlw/kYPHrjM7owy3DTuKcvtNoDLcxILkHaU4vv/jbQg7WNGFJiWVKnvxkBUW9cmK62TouLjXmR0tCZdgmJM42N+auNMLhjsWl2RfkUG0ztU1t3PzMxximRFEEk4oKWbWrFEUIzp8zPs7QVwKBkE5ZXXPc4l7X4mPlzhJUIaJSqKZF3JqmjGol2DvIg2UTMRFkOwTlnYJruhVi4a5buHzoL0G4bKufGGgI71k886szWLh0C6U1jYzsn89xE4cgkXxTuZVDgXrK/Q18WbEpWpskkRzqpLskC4FKZ0wXZVc89ckKPC4HZ8wYFdddBna0Z1X9Xpp1P349PrKhCYU+STm0dKM1FR2jU1l4RaARpcty3l4w7zfDca+NzuzDkxMvpy7UyjVrX6Ay0IglLWblDWdjwwHajBC9k7Jo04NUBZtQUTij9xQ+LFtDVbAJh6IRsvS4K9OEyrz80dy5+W12t4QIWSfTHmH8tKEXTmFwRc8SMtQGur7B69uyuX7/LMCuL5zTo6NeSsowsv5sMMsBA8yDCGMX+Z4ZVAQ6vnQohBmgrYJAHTL4JWR9gND60Tc5l1enXcdvN7/L9pZD0f3DlsHKuj2dbuqBuHnZtYNq5O/DRaFcCNeUw7yWQAIJ/DsjQaj+CQiEddr8IbJSk6I6RAC/OGEqT3y8nGDYQFMUUjwujp0wGOl/CVofJWqDEl4JWR/wQ32Qeza/i6ooBCNpl87oLj3SrMculBL4sXYXxxWMxfK9Aa33Y2sCZIJrFoSWoEsHC/YcT3WoAotyVtXtZXtTGQ+MPY9+dKT1tpVURYuuwZaBWLJrL2vFTlQhOKFgfPRbv0i5GdmwMaLeLkC4KVfOYXaelyF5fXhm1QY6LzCmaetR3fT0x1GdJIAftnakwF77dh1Th/WhpqktGolyOTROmDIUIUTMvRbYXX/3v7E4qlXVFYqwuHLWWk6bup3vmwv4W/kYDNlBpqS0F2AThZZwLbLhPHCfTkexcCeE16Fp/Tj36OkxmwWCY3uOBuD76u0srtqGYXbfsaXk6rgnBHDsS6clFAAJMqBEJPPtawuGDT5duYMzZowi15XK0NQCdraUx0SpwpbB5qaDceOrQuHqorn4jFC32l+dMTlrIAADU3pgdlMk346uUgjbmw5R3FbNgzsWcchXFyV9y2p2cf+Yc1nfUMz7ZasJmnq0LsuQBmX++qiMR3cwpMmn5RswZPuIsUTug/q+7DeP5JkB78bIiwgBY5LqGepp4EA4j6LUnrED6zsjkdn2+xcG4yAPjb6Ha9d/Sdgy0a0AZ2fvZXxKLQCVIXhz28u0iuHMzR/FEblDmNtzNHvbqmLeh2TN3XEetSDipdkOD6TejfCcAvp2ZOMVIH2AA7S+YOwC4YaUOxP6Uwkk8B+KBKH6v8Rr367nsY+WoSqCzBQvT//qDApz0gFYMHscPbNSWbJ5P1mpXi6YM560JDdWzcvEtFLLIEHfB9yzuc0u3O2GD6ii+26wrhBAkuZG6luh9UFKQy5+aOqJJiRzs/eT03MLj2xfRGVodfSYkKXzQ81OmsI+0p0dRbwZKR4C9R1kx6GpfFi7CsvtQyB4++AKXpx6Nf2T82x/wawPkIHPAAXVcwpX9OgFwEdla5Fza9AwsaqdOLdlcsKEYQR1I8b+oyuCYYNw2OCK4ybz0YptODWNa+dPZ0JRIQAXz53IC1+sRtNUnJpKWyB8WDIFYEmF+lYvmY4QJ2SWAPDQoXEoCMLfpUGrBkkmnqkNzBxQibRMDL2UrhKgYEDoc2ToO0h/GOE+pst5LBShMCt3GEfmDmVJ9Q5UIZDSjgZ1XoRFfohwzypUy7TTVTUOZFCxDZAj8hLtFkZCCP4+4RL+vvsLPq/YSOAwRK0dTkXFpWg8uefrw5IpBcGU7EGkOe2+0IEpPfjVkOP5665PUYVC2DR+UpwzZOn8ecfH7GquiImgBS2dP277gCbdH/1iELYMDvnrUYQSR6a6I3w/RbhEZK4k/xqab4h5zURhqLeFUTknMC27iFeLf2B/WzXD03pxWn4KStyZJCvqyvEbYQxpMjmliUt67ASgJuzhwt2z8Zk6FptYUr2dW4adxEm9xvPOwRXUBVsxpIkmVG4dPr9jfumPIuvPBXzYH2gB/teRwW8QKTdDxitgbAS1CMU1ASml3eErg1htz4J5AOGYAJ7TfvIzkkACCfz7oPsKzQR+Fjbvr+CpT1ZgmBYh3aSyoZUbn1wUfb057EfJDzPv+H5cPX8qGSnew47VpMcvW05FQ0GgCEGuK7Xb47rCq7q4oN8MZHgrO31pXLR7Dk9XDueJihGcu30IFb5aPj60tpsjJXoX77z7LjoWj9OB12X/cWWAUeCLCIlLAqbOi/s6upiENgAl5ZcoKdchNJtMravfz193foqpmqCCI99g+Eke7jx3NrlpyYS7EeFshyIE2WnJXDJvEvddPA8h4J5XvuSKv75HbVMbV54wha8f/AVv3bmAy+ZNort1p/Mmt0NnSE+7bsytWByVZvvLWSFhkykE+FScq1Lwmxpzth7LzHXZnLlzLmWh7grng8i2x6I/7W6p4OQlDzL1q99w8pIH2d1Swb0jz+TIvGEETJ2Q1OntzcIlNJI1F27Fwcy8obgUm7IJAUqejtozjPDaJMTt1Lj65GnRc3g0J7cNn8+07KJuJBViETB1HtyxKKqJ1Q4VQarDQ29vNqf3nsyDYzta9MOWQUWgkf5JeYzL6MfvRp6FW3HgVDTciiNOEFMCW5tKu7WXaQi3xW0XCAq9mdFrBnAIheFphczLH/2za4ckcO3gY1E8/x97bx0ex3W3f3/OwJKYwSwzM8Z2mJmZqUmaJg21DTRpUgo00DBTw5zYYbBjZibZli2wGFdanpnz/jGrlVYrJ32fp03a57f3dfm6rJ3ZmTNndvfc84X7PhpJvOyGQ3Fw7pCzOLrPRK5a9RzP7vqGz6rX89iOL7h9y0bQhkCsds3Fgo6ZPF+2lrC0yeOajmwerLJrBT9pHojf1GLPOEErwtO7viFVc3FQ/ihMLDShoKsquc60bpNcFJX/73ynH4ytEP4O2XQKNJ8B7fdDy6VY3rujZMpANp0LHY9C4D2k926k945/ckaSSCKJnxvJCNX/Att6qKADlNU2ccHix7h4yMH8ecv7GJYtmFjszuL5GVfh1hyQcjG0P0wsSiVcNDKXsDUv7lgCwZuzr6fQncnXtZu4f+vH+41KKAgGpeZz78RzebN8KR9VbsGQs+PSJV5T4fHSr3pNHRa4MuMXBGDS0L688/sLWL97H2luJ897P2drN11KiaTdiPcqC1sG8/etpSHoZULWQFY07YxTmzaFxV6rDiEE2ekeinPSKa+LL5hXFYGmKrgcOifPHsNJd75IRX1rbPv63fu44uF3ee/3F5KR4mLBht08+uHihOiUU1fJy0ilqd2PaUY4cHg5x0/YHtsetDTSFDfB1WkYMTorCAiF28tnEJJ2NXtVKJVflR3B+6MWIWRD/MRF/dv8RoirVz4f88WrDbZxzaoXuGro4Sys22pHeSRU+BuZkjOYplAHLeEOgmYkQYLA4VA5YfokdDSOmzGaoX1yE+7X1cOOtIvfo+/VFZXxmQNY2r2OB2IF350QwPisgTw85UJcqoOeuG39Gyxv3EXIiqC2C7Z7q3lq2uWsbi6jLtjKwJR83ixfQqW/KfYeQ9qkQkXERak6/6ehYGCneIUQXDb4UNa3lNMQTfVqisbWtiq2efcldNB5VCe5zjQq/I1x40xRnaRqLl4uW8iamqn8ZeBiTAQeVWVHeCxXblyFItbEzKUFknPzNnB8zkcYZjaaYw5ggD6WZQ1FBK21sWOHJazwDQatjRBFWD2eOw3LZG1zGe9XrbS9CrH9Im9a+yqfHPQbe6fIZhItZ2JniE5QtI7K/x7Sfbpd62iW0VVfFYDA+8i0WxDKP/dAlUQSSfx8SBKq/wXSU1yxgt3u2FZez+86Xo9bzCr8Tby2dxGXDTkU4bkIKdIg8CEoaXidV3Ld0o8T+pxuGnkcHs3BxpZyRqf3ZVhaETvba5iZVsX1xasISp2KUDp/rZzBxNxx3D7mFN7cu4R5VWuIyHhtJRuCRQ07mJE7jNVNu4hEiZWC4P6J5/WaWijOSac4x/4xrymfSFlpXWyRcqk6xxRPiO1rWCZXLH+Gso46QlYEp6IzJWcwDkUl3C36laZ31Zr4g4kEcfTAQo6eOoLDJg3ll499QGVDa9x205LUNrfT0NaBqij89c1vE8iUQ1P53VmHcMz0UVQ2tOLSfRSYZ4KlAxHARU7un3nIHM9V89+je52UlSFRhRpjBBJoDOu0p95LevvVdGkN6eA6DrCNpXtKJlhYLGrYHkcow5bJ8sad0e2SlkYf2c5UWsO+aFegxR1jT+XwonFELIPljTspq97HpOxB5Lm6FtWIF35XeCb7tHpcbpWDC0aT78rg8G/+SFukt3Z8Gy7VwQUlc3slUwEjzOKGHbGokokkaEbY5t3HP/Z8H72HEpfi6DVFd+7A2byyd1HcawIo8mThN0LkuzL45bAjuWDZY3HekrGHhB7fpRxHKo9OvQS/EeKKFc/EpR4j0mRJ/Xae3/UtQSuX07cdyTBPKyGZwRZ/BqYVYnp6LelamI0dORyaWcV5+Ttwq6YtaxBuRGQ9hXDOQlc+oieynPkoufM4wlHN2/VPx+6hS4FjC/tT1lHfc7jUB9tiZs4oqbEuxx+F0Gx3BHr7zipdxCuJJJL4j0aSUP0vMGlIHxRBnF8aikRGhRi7I2zZhbhSSiKGicNzGnhOA2BbQyk9lyen0DClxWnfP4im2KrZZw+YzVWDBpDmv4uLSg/BZ+mYUvCLvq2cP/pMAD6rXt+r/1j3cdw+5hQe2PYJyxpL0YXG+YPmMCS98Eev9/T+M/CbId4uX4aC4IKSAzmyG6Fa1ljKXl997PxBK8Kyhh0UuDNpDnXEFpvfjjop9p5+eZk0tMVrCh06YShnHjQBKSWllQ29VvCYloXHqVNW24ym9uimFALDMPnj69/w6crtPHT1ibgd2exqe57m1hdxK2EG5pxJmmcmYwdJDhw/mIUby7AsmwLnp2RTF/FFVd2jEJDqngnKn6DtFuxUjgTfc0jXEWQ5chNqfiKWST9PDquFGtvWuVx2fj4i0qQ17OPpaZcTkRZ9PdnkONMImhEuW/4Ulf7OFnrBk9MuY0R6MX96/Rvmr9iGrtrVQI9dezJ5znTe2LvkB+vsBBA2I/xu3esc33cKvx55bFwKr/dSHcmHlavwRgKxMft7iZLOzB3GZUMP482KpXHkWQKDUwu4b9J5ABz17Z/jyNQPQVVU3q9cySdVqxO+Tw5FY1VTWewhoNFw0+h1IwC3YvL4kIUMc7cBEiHAG9FsMhVDEBn8BL86mS9rNyacu9bfyvWrX+L2Mafw4PjZ/H37B/gtlSOyKrg4ax7rlfsT5ivPmd41n9oYcEyC8HLiI1W9UFFpgDYchAfQgc5UoQ7aUFASI5RJJJHEfx6ShOp/gfzMNAYWZlNe14IZXYzRQGQZqAgQIva071J0nF4Ps69/nGDEYGBBFo/+8mSKc9JJ190JnVWGtHho+3x78YkSlJf2LCCY38T3rdNpNlzI6FL7bFUq44vLqfQ3stdX/4Nj1hWVFM1JWUcdlpS0mwFeKPsOC/mD/mZgp2suKjmIi0oO6nV7hxHspdwXXphxFd/Xb2NzZTVNZQaLFuxj4GGF5GWkUN/akXCcVaWVnH/4ZIQQCUbKnbAsySfLt3LklOEJ2zujhpZpsb6smofe+57DDh/AjWvfJGLpqMJJuv4dr88eS5YjlSMmDWN7RT1NXj/tgRCVO3woaRpKQYSRKS2MS29hTuEcVAEy3JkakthRLRPZ/ieKsl/i9P4zeK9yBZaUKEJwSt9pXD70MFY07aQh2KVzZEoZJ8xpSUmhO4tsZ1ed1geVK9nra4hLB96z+T2uzTqRz1ZuJxQxYiTy5mfmcc0vJ/Lkzi9j0cPeIO3RErAifFy1mgyHmyFpRdy/9WP8RphZecM4uGA0i+u3Ry1pVNJ0NwEz/IOF6QIYndEPl6pzZNF4PqteH0sruxSd8VkDAdvapTmceL/3h4hlMG/fml4JWMQyGZ5RjKyKH5dbdXBI5h6GuVvxdCNQuqMXCQORQqm3utf6r1bDz7LGUq5Y+SzvjCnlpeHxiueT9Xc4pe/JvFu5Al1REQj+MP4Mnt31DbWBVmbkDuUQvZcqN8fB9oNU2x0gm6OvzQCRjlA8kPMWsu1WW9ZBH4fIuCdZlJ5EEv8lSBKq/wUURfDsr0/nzle+ZE1ZJSFnEDHRi8OhkOVIJd+VznZvNRLJ7MyRfPyPsljNVXldC9c+9gHv3XkhozL6MjW7hFXNZYTMCA5V49iiScyvXptwztIOi5qwJ0amwF4ot7Xt48Wy7/a77LlVB5aU3D7mZJY07KA+6I0t1kEzwvO7vuXikoP+6R9vKe36KY/qQFPsWqMJ0YWzE5pQGZFeTLYzFVnu4tN3KgiGDVSlknnLt/LkdadS0+xNOPbanV36Psp+xmNJyaMfLubwScP4/fmHc/erX6GpCoFQJC4NG46YrN25jw19N8ZIjCVN2iJ+3ilfzshgCbe+8BnBOL0rgbU6nWPnbOY3E5ahqyqqsg3ZsgpwER9xkGA2IKXkuhHHMCtvOHva6xiYms+0XFuK4B+zrmVFVOxzQtZAblr7Krs76ghbBi5FZ3b+iDgyBVAbaE2orWoKtVNR35KQZm5q8zGvau0PkimF+Khp0Irw2b71NIQWxebl+/ptzM4bwUWDD2JNUxl9PNlcNexwntn5DbXBxPF0wqU6KPZkAXDDyOOp8DextbUKCcwtGMlZA+2i+tAPjK83eCP7184qdGVwSMFodrTt470oqbGk5MHJF9LR9kTMpLgT8X8LEB6E50JS/FqCnlknJFAbaCFoeHEnbAxw/chjOX3ATFrCPorcGVyx4llqA61EpMlXNRvZndfCFUXdPivCjXAfAc7ZSOECqQAmhJcgmy+BnDcQ2kBEzuv/f6YpiSSS+A9BklD9L5GV5uHv15wEwNe1m1jasIN8ZwbnDJpNuu6mLezHoWh8tWonC8V3dC7GlpSU17UQihg4dY1bx5zKx1WrCJphCq1c9HYX81mXcL6N/mxS1AgdZlcNjCEVXt6zcL8Lar4znV8MPZyRGX0pcGXwZc2GXlSpLUxpoYkuWfHO9v+eqPI38ctVL1Af9CIE/HbUSRzfdzJF7iwemXIRd296l+aQj7GZ/blnvJ2KfPKTZTEtKdOS+IJhvlu/q1cC6HbqvPzlapy6SqrbSXN77zVBuqpS09zO0VNHMGvUQKoaWrn/7QVs2lsTV99imCb+HsXzhrRoi/h5c8H6bmRK2rqLph1Z+O2cZTi1qNmzDENkHbhOA9x0NhREpM5b1QpPrb2DY4snYUiTL2o2IITgzP6zuHb4UThVnbn5XV5AD02+kNf3LqbG38K47AGc1j9RyHFi9iA+qFwZS5/qQmVc5gCGpuUmpJrSMhw/mOYFGJCSy15ffPrUQsb5AYYtg+WNpfx14jmc0m8aYcsgU0/huhFHU+VvYnWzrRE2M3cYa5rKUBSBaVkUu7PsdKJlkKI5eWbaFbREa8LS9S4qct/Wj39wjD3RW+SoE7XBVv6+43NuHnU8J/ebRlO4nZLUAjK0CNI1Hcv7GT2tkGIQeYicN0HJZIi8j1dHLGRLh5O/Vo4nKONFMgxpEXSchDu4hTifPvcZ+A27tmlEejEL6rfSGGqPpXaDVoSX64ZzWeEWlO73S7ghvCEaneokW2Ew1iIbDoCs5xF6D9+oJJJI4r8CSUL1L8RhhWPjVJmBmL5PTnpKQr2pQ7f1k+bvW8tftnyIrqgEq1SstWk4VBUjIw1lagtWt1oeAxWXmkLYCiIxMaSCiUJLyEehO5NIsC2hlqc51EFNsJV51WvZ2FJuF7/LrsE4FJWJWSWxSNOi+m3ctfFdOowgw9KLeGDS+RS4MgBoCXdw+fKnaepM3Uh7oRyeXsyw9CJUoXDZ4EMZlJrPyIw+sXP0lEcwLQtFCA6fNJQvV5fGLfTt/hCPf7wEVRHoqopTV4kYZnytGmBYFv3zM+15TnHxx3+sYkdVYrFwS1sLAzsM2p0qoWh9j1PROTB/FJXKZgBE/wDKuA77HnWoaKtS0NReFnR9NCge8L2AJU2+aenDkzWjMbGYt28tiCgRkPDG3iXM27eGoelF/G70SfRxZ/PXLR/xyb7VCATD0ov4bfFJCVIEAAcVjOK8QXN4sWwBACMz+nBU0Xj2mXUcP3cEHy7YhhQWhjDxT6pjb0diFKo7ij1ZNIU7CBp2+m5iagsnF+m8U93Cuo7M2H4uRefODW/zde0mhBAMTi3gsamX8OjUS/AZIVQh0ITKg9vn82X1BnxWiIqOBv685UNe2fM9z8+4irKOOu7f+jEtYR8H5I3guhFH41A0tnn3JYxreFoxO9qrex0z7P+aQlHyBzAgNY8B5GEFv0M2XA+oKJjYP289o2oCHONALUY2nwmRbfRzhCnOUmkwMniieig9YllkpZ8ODg18zwISUi7jg8ZCHtz+R1Sh4FJ0zhgwi56QKISkE7cIEbFUhJaD7jwY2XZbguk5AFYjsvkiyF8EkW1I/z8AgfCci3CM3+8cJZFEEv8ZEP+MWOTPjSlTpsjVq3vaf/x3wbIkNzz1MatKK21FbCm584IjmDCmkNO+/xshy0BKMOfnxAQdAVxujaK5kkZPE0LYi8tDky7k6V1fsb4lXh17WFoRozP68UXN+l4Lh/VuxdEaKinCiVAEhQ1FTHAPZuqQfvQflMZ5Sx+LpYEUBCWp+bw++zoqfU1ctOyJmDRAbIyKzo2jjmefv4k3y5fai6CUXDbkEC4oORCA+99ewAdLNsWiVC6Hxsu3nE1JUTZvfLeOr9fsJCvVTUVDC3tqu2QUVEVh1ugBLNtSHme4K4BHrjmJ2WMGAVDX0s4Jd7yQ0O2X4fbz+pXvkOoO8kjtRL5q6U8gqGNtSSGnPYerjpvJvZ9/iTG9CRF9vJAW4FX5aNJCCtLrETEtIRci92OENhApJb9Y+QzretyD3iCiuk+XDj6YJ0q/jIs6HVQwij9NODtu/1JvNTWBVoakFVLgyiBsGvx+09usarKVty0puazfYTy95Rsi7jCdQUWHonFk0Ti2NW+gUK+kzXCwyZ8DCMZk9OPggtHUBVs5Mu0bRurfIRCErAiv14/gudqR6NH3f1mzsWuMisrB+aP544SzYuO7f+vHfFK1JiEq5lR0LiyZy6t7FsU695yKxrScIZjSYl3LXoJmOEZYnIrG6PR+rG3d86Nz2BtGpBczN38kTlXnmKIRZLUd3oOoOCHzCWi7PtopJ0E4ETnvADqy8Ti6ok5QHc7l3B2HETDtz6gmFA4uGMOful072GbIFy97Mq4OThW2QXdnp65D0UjX3Uz2lDIhpZr6sIfP2sbxj+knkuq9kP1azwgPeC4A33N0kUEn6CPBagJtNCLjDwgl6380Z0n890AIsUZKOeWnOp8nv58cceoNP8m51j11w096bT8VkhGqnwiKInjwFyewbOteGrw+xg4sZHBxLqubdqMrql14awJWfBhLsQQXFBxM/hAHbRE/47MGUOTOYkR9Hza3VsaKfx2KxtjM/vxy+FHs9dWzvmXvDypPG5h490nkmjTaVR+bI2t5b8EmZkwvQsnrGoOFpKyjnpAZ4YFtn9DRI3UGdrG6gh2R6V5A/PSurzmuz2Synan8+tS5uBwaX60tJdXl5M9ne+nvOAeaBOfMvJzzDrUXrWNvfz7u2KZlUdPkRddUjHA8WepUTA+EI9z41Me9qqSfM3MD+el+hICrczfz+WsTMMJ2urQBH498sJiTzxjB+41LY5EQoQAZJgsqf8dZ45+O2oKkITLuQ2gDY9ec58pEUP6Dli5gS2dETCOOqHTej02tlXH7PrxtPu9XrkRVFAzL4s6xp5Kqu1nVtDtOg+yZiq9wZCh0D/zpisZZxW4G5H5E0DJRsFjVns9tew+gtL2Gne21FDk6+FXW1yh0yQBcWLADT9r5jM+ZwpvlS+PHaJlsbosf4/46ScNWhI2tFZjduvxClsGihu1x+lKqUGLkflNbxY/MXpeOVXfoikpZez2l3hpUofB11TxeGNojCCwcCKFA7nwIfm6/5joSoRbR5NtORg+FqWKnnycnHswDO7fTEvYxK2841404Ou68UhrsbPocVfSIuEa/h53k+YC84XxWvY4vQkV80WKblbtVwebm5VS1lhA0DY7N2kuWo8c8yhD4nia+EzAEkfXRE1Ui6xcicz5G0Qf86NwlkUQSPx2ShOonhKIIDohGVDrR15MTUygXGuC2wK/QuTSYlmR0/0KG5HW1TtcFWvl037q4GpMBnlyuHX4UN6x5hc2tlT++yJtgegXSsmKRn0A4wsIllXiOj99XV1QcikZ9sC1BK0sAfd3ZdERCXcSw831CozncQbYzFU1VuPak2Vx70mws/wfgvRdMm5yFW+7C65XkFZzGweMH887CDXHkaG9dS0JxuqooGKad1nlm/nJ21zTRG+pa02I1R7vrs1F6FCuHIwaplgc97CDoDMX2lWHBY5/vwh/6HZcePZXm9gBvfLEer+8bDp4whJmjBvDLYUfyXe3mf8pGxW+FE1JeAkGROzP29/a2fbzfWTcVvfw/bHqXm0edkHBdhjRIV1MJmJFuREUwyPwrigiSGo1aTUtv4KDMfXzdaqdfU5QOghax7fZcOjm7/3CE3o8BtX4cQhKOpoQVBH3c2ZR3NJCiOcl1paMrKr3BqegMSs1nffPeBA2m7p8bKSU5rlT2BVr2K33ZCQ2FuQW2fY89ZzAoNR/Tstjjt0VWLWlSEVAwpIne/WMig0glH0UthJSLYud+cNs83q9cwcMlWYz2NOJUTMABaj9G5szm+Zw5EFoEsh1kPVAcfa+JbL6QInMfljWN3n4+JZLh6UXcPuYUvqjZEPcdlVLyp9JGvJHhRKTCs7WjeWX41wxwdWDX5Unsuq8f+/YGoPlMZN63dmdgEkkk8R+BpPXMT4SFG3Zz75vf8sLnK/F1E7MsdGfy6xHH4lQ0UjQnnlk+MjPcaKqCQ1O57ZxDGdJDKfuF3d8lSBSk624ksKG1PG6BlwaYVY6uuiJT2OLePhW5O6F3CUUIRqf2w606cAgVVSgcXjSWDiPItNwhcZYhAjvasNfXwBOlnxMy4+tVVCHo68lOnIzA23RPtTjUMLt3P8kB1z2GaVoJMgiGaeHQeiziAq5/0hZk3FZeRyjS+9L8fWlJ7NpzUgNEzPjjBMMGr76+icDX6VhLM7GCAmmAtTaNYNjgo2Wbae0IcuYf/8HLX67m3UUbufHpj/l46RYK3Zkc22dighRjkTuLiVkDcSrxC25scY2AuSYNY3ka9d+ohKNF8TXB1l6tXXShxXXI2fYtuTwz/UqGphVwcUEpH4/+gnljvkOx4pXcnQr0dXall8pDab3YuyigDsQKfM456Y9Q4mrBo0RIUSKk6w72+hq4YNnjnPT9/fx58wdcP2QCx2XvY1Z6DWqU+elC5ZfDj+KywYeQqjlt2ZDo690bHcD+jDWF/jn5BCnoSnUiURWVOfkjCcn4z5rPUnjPeyZdljL2TNF8Blb9oVjNlyCNCpY1lvJR1WrClsn1u2fxRv0QNvn7gOdsRPYbgEQ2n4ts+zXS+3si9Ufy25U3cvLCB/hwzz/A2MK4lGpOyNmDSxix6+8Oh6KhKSrH9ZmEK/p9UVFQhILXMAlJDQuFkNS4ctfBkPYHRPodkP0iP06mOicmgAwtwLJ8P75vEkkk8ZMgGaH6CfDSF6t45tPlBMMGuqby8bItvHHbebgd9o/tKf2nMzNnOPWhVvql5JJ1Sgpef4gUlwNN7VpgO7vumsO+hELd1oi/98iBBKpdWC067rEh0ipzqa/1IxscCelFTVUYXJTDYwecw2tl3/P0rm8QCL6q2cyKxl28OPNq6gKtXdECIeJsbFQsUjUnAdMkTXfz0KQLelXkRsQTOUuCP6wRjBi8tXBDr3PodGgYlhWrwTJMi41lNbQHQgztm8f63dW9+gJmpBUihIqUJgNzWzlp0hY+WDuasKECAiFEjIwpzTrW0gywFPDZc+nQNOat2EZ7IBRrrw+GDR79aDEnzBrNpUMO5bu6rfiNEJaU6KrKbSNOoXp3gGzfLrak7qTWjLfWkZZAVjkBQTlebnxmHo9ecxJD0wrjRDHtOVW4d+tHcRGeTN3DI1Muoo8nm1cmpED7TiBgR1Rsgxc6F2aBxs5gF6ntMB3cuvcQHh6yDCG9gA6eCxCKB+l7DJfi57lh37HJl0NYqjxTN4dtHV06VJVtX3FTzmIO7S8wLZNmqwgl6zUK3CkIoVDl9yOj8yokTMsZzHZvDa0RH6a0cKk6J/WdyvqWvWz3xhej9xbZA4nPCMXOH7YM3ti7hNMHzOCd8uWx1KMAHtsbYuKwDIa566N0Lmx3Z0ofhPchm06nwndXrLMxLFWeqh2LVqeytOQ2+2z+dyCyjU7Crwm4puBbTt12NA/tasHdt5Ajssv4dZ8NeJQIHzaV0Gq64kZ8bPEkAH47+iT6eXJY1lhKgSuTAlcGr+z5Pm7fgJWCkhKtoZMSKdJBtsVPgSgEWdtjXgJ2bRhguU5BZPwlqVeVRBI/M5KE6t8MKSVPzltGJLrYRwyThjYfCzfs5qipI+gIhLjpmXms3lGJqipcffxMLjxiKhkpXT/Si+q3c9fGd+gwggxNK+TY4oksWlVOeJdNVvRRAZoHdHDYN/eQprlpjwQwseysS0BF1jlAkfRLLaJ8uw8Z7nqKLynMxrQkTe0+Rg8o5M+XHI0qFL6t2xKLdBnSpCVs8nb5Mv468VwMy2RF0y7uWP8GHd3qenTF4uWhC8gq/pQUzbPfH3iR+iuqy9azZFd/pIQZJVU8v2j/9Ym6qjBj5AC+W78rYW41VeGq42aybuc+ymqbYoQLwKlr/Pq0QyH3KAINt9DQuJNBua3RVduWRuiu6WRZoHQ4kNKmLy5d4+oTZrG7ugmzR9Ssk7wVuDJ4Y/Z1fFG9nohlMiVjCL99+Ata2gNY0kIOMNHHaEQ6IyoWSJ9N5jqxantF7Fi6otA92BaWBtKKp8+aotCnM/Lnf4+YJ6Q9K9jpowhgItRiLht2HqUbv6cx5CXPmc5VI09ERDoX9gj4nsdSsuxwJrZm08RU2zvvtr0yLgbz277L0ESUbChQpNRB4DJo34kEyttLaAuPw4he35qWPdw2+mTWtexlV3stmbqHwakFdESCCYSqN/QUvLWnUHLV0CMImQaf7luLz7TTZIa0SFF8+zFYtkAGGe2pRVc0DLMzateVdpWRrcj2v9A9egqQpdn7Bi3JvJZ+HJFdxuv1Q3mzcRhBK/4nVADrW/ZyaNFYVKFwQcmBscaMHd5qXt+7JBapdCgqM3KHIqW0vytmJcieNYoOyH4aWm8GczdgYkrwGg48agSnIpHBD/GL0aSk924flUQSSfw0SBKqfzMsKRMWYyklgajM9R9e/Yr1u/ZhSYllmDw9fzklRTnMGVsCQIWvkdvWvxF7Et/VXss/di7BalJRZ7eCZi94zSGwdrnp2OUC6UJkRZAZBpR5wBKkuVzs2doRF8VxaCqnHzieMw+akDDu1h5+cIa0aArbzsiaojIqow9WtwoYgUW6GqbA0YqutCNEyn7npLajhNOfvADDMKJzJLCkEj1OYpTilNljue7kOWyrqKOqoY2wYeJyaBw7fWQsynfj6XN5b9EmpIScdA+qKvD6Qjz47veke5xcf8r9PPH1UjaU1RA2be2vNI+T1o5ALMUoBKR7nHj9QRyaxpXHzeDQiUPpl5fJS1+u6upQ1DUOm9i1EKYpbpxVGXR4fbzbtIWGtg4iRvSe73aQ2s9Ay1JQhCAQMDDWxptQq4pgT20z9378JYE+EVsLKwpFCCI9JiRe2LMXWQC1JLr4GmDuYaR1NfPmfIyp9EFTVKz2+yHcfeEO2F1lnvOg44Fud0ChrzuTHR1tsVeytfjuNEkQYeykU1NpoqeMc/MdvFxvaykZlkld0MvYzP58um8dEWmysnl3r5ppvSW7NKEgpe2LGMtaWxa/Wfcafxh3BmcMmMn5Sx+LFeyvac8jTw9G66J6Isjo9P7cP+RbxjtXATC/ZShj+j6FtHzI5gtAxqciIxZs8Xd11Hmco0Bs4K3GoQlkqvMa2iIBblv/Buta9pLjTOP2MacwPL2Y4enF/GnCWdy75UM6jBDTs4u5o/gNZN0fkUoupN5gF1LGefeFofkiSL2JxlArK2repSyYwkdNg8jVQ7ww7Bs8qsmi6ld4bXMrj029hEzH/r97SSSRxL8PyRqqfzNURWHmqAFxNUBCCKaP7A/AmtLKOJITDBus2tHVVbWwfitGt5ooC0mD2YYc50U4pd0yr4AMKMgdKRBWIKIg652wMwVMgcuhcelR07qeXp0WuEwQcr9K5LPzRsTVALkUnbl5XYKDmXoKfx83kgLdj4rFIFc7jw9ZiCZMZOsNWLXjsOoPRIZWJBz70Q8XE4pIDEvFsFQsqSCELeg5dlARBVmpsRqyP158FL856xBcTp2XbzmbCw+fwlFTh3PTaQdx69mH2nO0cTfX/P0DPl25nS/XlPLJ8q10+MN8tmo7ZTVNrN9dzS8eeY8rj53J4OIcMjwuhvXN5dkbTiM7rauoV0po9QWxJIQiBk/PX05FfQvD+ubx0FUnMrg4h5x0D4oi+GDJZg666UmWbN7DRfe/yYPvLOSZecuZv2JbF5kCkALX2jwemXQxMzvG03djCfi65lUIOH7maC649w1Wbd6XqLkk7Zqc2H1QdU7tP93eZOyyLUriEI10xKIsEmQIGZgX0xkjvJlE+iKjnWTdPw8afxudFyfuutmXTaR7qlgKuivHu1WTKWld9kdSSnKdaTyw7ROCVgRTWvsVoO35SdSFSr4rg8enXsrYzP6x7SYWyxt38rv1r5OmuzC6pUkf3DeBNe15cU4CcddorGGKeyO6YqErFifmlDNE/RzMPdCjHkpipwVVJIdlVuBWdS4bdiZKwUoUtajXa3AqOmUddSyos4U+d3iruXLFszHrobn5I5l/8O9YcNgd/LXfq6Sw2z6T1QDeu0GkkPCzLFug/S40/xPMSK8mUwsRsHSqQim80TCUkKVQHkyhrKOeuze91+u4kkgiiX8/khGqnwD3XnYsf3r9G1buqCA7zcNt5xxGq9bOMxu/xHAY0K2u1KGp5Gel4QuGWbJrN09t/45IihWvji2Ji2IIATgsMOMXkXSPkynD+nHoxCEcPW0kTR0+3mxbgJUXfQLucDBjbL9ex/yrEUfjjQT4pm4TmlC5bMghHFw4xj69lMi2Gxkjv+Gj0QZ2einapaTkRRdmA6waZMsVkDsfofUFoLHNx7frdiWIbxZlp3PzGQcxe8wgFCF6rSFLcTm46oREAcWH3vs+pnZuWhYdgRCfLN8aR1QjhslNz3xCRzBExLDYUdnAbc9/TrrH2aufYCfW7txH//wspo/ozxu3nsfRtz6LPxpdbPeHuPHpT1AV0e38PUx8NZWZIwfyzGurWbermlDEQFUEihAUZKVx8gFjCOshQhMbUDwGsk2FdNMmKkISqXBy0qApVOVU4TNCHFk4lLP65iGtZgivIPGZSEajHD1ejn6AZPBriPS0NFIh5RLwvUA8qQiTwQ6k7PqZuLN8Og+WLGa4pxVLgo++ZIpqYg4AqOwLddnoWMC8fWsIGPtRLe+G8wbOpbS9mvZIkEnZAzkwfxQjMvrgVHUO7xjHdm91zP4mIk1WN5eRqadwev+ZvFG+GAmEpMYNe2ZzcEYbfx60CBGXvtMgsoruKVJBEELfgftou96q+5QBHtVkUlojY1PbaHMeRH663fF3waAD+XvpZzFyKIBidzZXDzuCOza81YMYS9Y0l3FUNyNxGVpik6ju+wnNjlIF3o3eo+73IkKGGuHv1WN5p3EoAlvkd2cgg8pQKm80DMOQJlvbbNsmaXkhshWUdNBGJlOBSSTxEyBJqH4CeFwO/nRJl57NxpYKfrHieYJWBDlGg6WZ0c4ghcLsNCYN6cNxtz+PPxImYqahTLOQGQZCCnBaqIrAMmUcqbILzCVdz/kSMz3M/VccF/sxzR0vUEuN2E+4mmnyfNU33JV9esKYHYrG3ePP4G7OSLyg0Lf2v7janQioQ8DcQfwiISCyBqKE6s9vfBOrJ+uEpiqcOGsMB44bHHutew1Zd2yvrOe+t76jpT3AnLGDuPak2Xj98XUnpiXp2RQI0BEIxeQYwobJjqp6rJ7y690ghCC92zjqWzviOjTBnu2eJEpgq+AbpsUBYwZy+TEzOO3ul2MEz7QkTqfGHecdzqjB+Rz79b2QG7b1r0wgqGDtdiFbHdCi8/G2Uj78w8WkOb5lWdUDfFWmMSW1nixnfxLsVYTHlgjoeBL7/ggQLoTrWABkcB4JopIiDeG5EBn8Cqx6uhZyJ4o2GCEq6GTAraaTS3YeiksxiFgqH8+5GHwXg7RTxCHLxYt1E2KHlkjWNu9hQtZANrZWxKKtDlQmZA9ifeseFKFwVv8DqAo0Uh1oYVBqPucMnE2uKx2ArW1VvFu+PCYv0gmXqiOE4OT+03i3cnmc1+AqXx5eMY4MNmO3tWqQdh2E1wGbul2jAmo+Qi1Gei4A/2vRbbbxdee3SRcRcs03gcsAOG3ADFJ1J/P3rSdVc3LZkEMYnFaIYZn2963bE0PINHhw23xe2r2A60Ycw4zsNLyNN9BieCh0+HEqnWMxEPpQhOd1WmoOJ0PEi8YuaCvmg6bBGLKLRK9oL2Kxtw+GVBDAEI+OFfjUNl8WEjDBMRsyH7U1uZJIIol/G5KE6mfAS2ULurqTsg3UQ5rpF+jLZcMPIi8zlZue/oQ2XydJEFjlLqhx2it1hgHT2nA6dAzLxMJCQTDaNZB1urerpEaByIhWTvv+b/jMMLNyh9EW8WN0S89EpMmWHsKSAJtbK9nnb2ZIWgGD0woTL8CsjBUwd8EAc3vvFyzshdGyJNsr6hOCJwWZqVxy1NQfnDOA6qY2Lvvb27EIUe337azZWUW7P54guHSNY6ePYP6K7QQjBooQuBw6pmXF6Vv1JEKdUAQ4dZ3BRTnMGdulG5aZ4kqshxM9kmSqwthBRTx/4xmxGquGtt4iYPa7NrVWQDeLG6GC9Fgoo/xYa1UkOrqmUtlSxp/Kv6XVGB+VUhjJc8O+o7+z+zU4IO33CPdJSCULAvNAyUCkXY/Q7BSzTSh6DiXD9ikUadg/CapNhNUhvF4/iDStnraIv7uSFC4hmZzTn1zPUHB/DuFlgGBFSzpeK95Hz0JyxoCZ6IrK+pa96IpGrjMNhOSJqZcxOrMf5y75OxW+RgxpUR1o4bIVT/PW7OupDbTyi5XPJqQJnYrOjSOOA8CjOhL00UwpqXf9lUznJjCrQR+HcEzFcuyG8KLo51exyWbajQAo6bcgnXPA2I0ML4PQVz0mKv4cRxVP5KjiiXGvaYrKRSUH8trexQTNSNQ6x6I14qM14uOWda9xft8UXq48FE1YaELyyOBFjPK0gONQ0MbwQeVKvqsYzF8GVeEUJlKCosA2f1ZC3VbI0nGpOk4hODm7lKuLP4a2iD3WzuGGFkNwHrgT9cySSCKJfx2ShOpnQPcnaQDhscgqFizdUs7Xa0sJhHuQlVqnvXJLoE3D3JxCwCntFJ8uMRp0Nvl8OKf6iHjt/URRGCvVpDLQDMBXtRspdNmRsM7zqwgGpObFneqhbfP5oHKlnVKQFqf0m8ZlQw6NeRICoI0kPjzWGxQQTtBGgHMOhmlx/RMf0tAjvebSNU6ZMw5V2f/Ts2lZLN2yly/XlMYRolDEYFtFfcL+2WluPlq2FdO0yEn3EAhG0BSBrmmYpk2qdE2Jr3WKYuygQg4aP5ic9BSOnjoCXbUjTcu3ldMRCHHpUdN46SvbBkkIwZFThnPMtBHc9cqXtHYEmDC4mN+cdQjvLdqIYVrMGVtCUXYaE4f0Yf1uO+WnqwrZ6W7GlRSxpT1RKVwIQANlcjvmZ04kkgW+NTREXESkPe9BLB6omsDfBy/uNpnHoXhOxrBM3q/vR2n7yYxIL+bkzJKuu2X1IoCqDbI95GLpMR1Sb+fFmhxe3rM4RmZUoTAyNYNb+sxnsLMORQiktwqRfg/CdQQAs/Ij5DoXU+mPP8+t699gaFohM3KHsrxhJ3t9Dez1NbCxpYK7xp1OTaA1JsFhSouWUAc722tZ2biTSA99M6ei8ejUi5mQNRCAPFc6RxVN4OvajQTMCC5FZ2LWIIam6BD22oRRG4q0fNB2XazLExTIeg6hdnlOCudMcM4Ex2RkaDFdUVg3eC4mYhm8vXcZX9duwhsJMDS9iF8OP5K+npzYMa4cejhD0gpZ3VTGp9Xr4hTuQ1aElytbiUg1di9v2H0An435HJHxAEII3ty7lD2+bK7YeTAHZewDJGflV9DHGcSlGHGkalBqPjeNPB5plDFRvovo1RA6iIzsBfE5GLvspgXX0ck0YBJJ/IuRJFQ/A07rP4ONLeWxKJVL0ZloDucfazcnkimI14uyBLToyIhdfN4JA4lZ7kCb6kVid0eZ3R9SLYPqQAslaflU+poQCFI0J7d0U+He3V7L+5Ur4zzK3qpYxvzqdTw17TKGRetHhHM6MvUK6HgC+ww9xixyESnn0x7K4JFPs9jX/BHpbidrd+2La4MXwKShfTnvsEn7nSvDtLjqkffYVlFHxLQS0oU9oaoKda0dsehTkzfarRgGp64yqDCbNI+L4f3yeP3bxGjN9BEDuPjIabG/I4bJZQ++ze5qmyBI4JYzDgagOCedqcP7IYRg3h8vBewasbP+9A/8oTCWlDz64WJeuOlMHr76RJ78ZCmLGrZR16+aJrWRmze8yh/Gnk5fTw5lHfVxzQedJ0vJVHn4wpN4u/2r2AJsb1KoC3dXydYg6jF449pXWNu8l5AV4csanRVNO7l37AHgf5GEFCF6jyJ2gAi0/4EZSi7vK1MJmrZumCktbuy7jmHORjprpszAxzQZ/SjM+QVgp+FuHHEct6z7B+EezRQ72msoba+Ji/MErQhfVG+IKywHCFgRagOtaIqWkELzaM4YmerE7WNOYWrOYLZ7qxmYksdxhVnQdAxSRgABHX8D1wlg7O02Bwp0PAjZL8WOs7ppN0+UfknADHNR3xs4PP17O53pPg3cJ/PLlc+xoaW8S5cr0MSqpl28Oft68qIpSoBDC8dyaOFYljbsiCNUopPIdYsUd1gObiw/gy1b/0y2I5VI9Pu3M5DJzkCmvY9+Gtf0a+Mrbz1bOkDBnpe7x5/B0LQiZLAM2ab36BDsPKkLIquR/uew070uCH2HyLw/cd8kkkjif4wkofoZcFDBKG4fcwqv7PkeieTcgbMJl/cigImdfiJqNmxDQkCNdlf1gGVHEYalFdPHk833dVvjFKWdqs6LM65mS1sVEctgdEY/3FrXeeuDXjRFIdQjcNNhBLltw5u8M6fLOFNJvQbpOR8Z2QgtVxNbkIUbUn9Jh3Iqpzz4Am0Dd0FRBGtbSpz+VfRKCITCSEvuN+D19dpStpbXEQgndoY5dftN3VXSLTOhTy6GUMSkqd3Pm7efD8D6XdVsraiLbXdoKjOi3Zed+HjZFnZWNcaKzgFe/GIVH919ca/neP7zFbT5AjFCF8bk/rcX8OwNp3P0YUN4b/k3hK0ISFjTVMbvN77Ns9Ov5MmdX/JW+dK4seu6wpd3XYVbc7CnYiTLGncTjIqLOoTJ5KhWVNDS2BksxuWajdpRy7qWvTFSHLQiNPtWYjXdj0JPjSPs+yUyerkSi2HuBh4d/D1nbT8CECgIirU9dCdlKiE21r/H8zX53Dr6ZISIRj2F6JEhs+v7ers3C+q39Pr6XZveYVL2IJyKjmXa4qIOoVHgyuDmtf/gpH5TOSBvuH0ZQnBU8YRY4bfVfHlUAiF6ZCsMoa+JJ5QWmFWxv7a2VXHDmldiDzp/Km2mdsgFXBjVkdraVsV2b3VCJ2bQNFhQt4XTB8yMe31Xey0zcocyb99aItJERcGl6nYkrjvZlAorWw0MwrRF/DgUDafQYt9dl6pzXP/DcaQV8dgMi02tlfiMIKMy+pHp8CClZIfPwWArhJrws6CC43AIfdI1FwQgOB8rdDaKc/8PM0kkkcT/PyQJ1c+EI4rHc0Tx+NjfO6x6ZI/oTV5mKs9cfxo3PzuPyobWqA5Sz4UqClUiBgUwpWR2/nDOHjibzW0VNAbbiUgTl6Jz9bAj0BSV8VkDeh3TkLTCOO+x7ij3NXLYN/cwMWsgfxx/Jk7VgVDSEc7ZyJw3kR2P24rUrpNRPCeyaOVWvONrIMWwpR36hKA+UZ19a0U9r36zhkuPmp5wTiklDa0dCVY0AIdPHsaB40oYkJ/F9U9+RGtHAI/TQU66h/K6lv2SKo+zyzrnpjMO5PcvfcG+pjY0VeWG0w5k0tC+cfvXt3YQisRH4Jra92/30djmS6jNavL6WLp1L581ro2b34g0WdO8B7fm4IaRx7Ggbiu1wdbYdkUo7GivZkLWQE7tN509HfW8X7kCKWFa7lCuG3kEde1fcvl2DZ+pY+5+h0EpeSg9Ov+uLlrXO5kC0IaD81Do2EjPSKMqJMUOH5lqmDbThVtz4HIMQpotiGhRd8hS2Bvy8GXDRg4rHMv03KH08WRzZT94psJEFyYRqXBUVjkfNQ/uZQD7N1sJWwarm8ro485iXOYAaoItbGgtZ7u3mu3eapY37uTOsadyWNE4e55D7Ty0/VMqfY2McwmuKlRwxfSoTJBOwEVXNM4BIgur5Veg9uGb6oFxps9BK8J7FStihCpohlH2I8fQ8xrm71vLX7d8FLu+QlcmRxSO5YyBs3irfClvly+zBUalSciMxJk/q0LhpH5TKeuow0Jy4aADGZpmyzQoQon7/prS4ua1r7KmeQ9n5I7gkoItaEKidnpWauNA6L3MsgEtZ2EpAxDZz3fV2CWRRBL/YyQJ1X8IhvfL59enzeWBdxaiCEG6x8mT151K/4Is/vHbc1i/u5qaJi9frS1l+bZyJCAtiVQkpBkoI/wo+RGcis6w1GI276rjuqyT2KVX0kGAWXnDmZE7FL8RYkXjTiwkU3OGkK532cDkudL564RzuGHNK4l6SIA3EmBh/TZOXfQQHx94c0yfSOijEFmPx+3bZLaDx6TTxk3pE8Js0KEi3nYmFDHYURnvP2dZkgfeWcB7izfZEg3dCIqqCEYNKOCuC46gsc1HXkYqX/71CvyhCB6nTllNE5c88HZUUNUkbNiSE6YlcekaN5xqL44fLtnMfW99hxrVuzp1zljOOHA8PTF+cDFOhxYT9dRUhbEDEzWIOuusslI9OHU1FjVz6hqBcISbn5mH1cePOdKK+9Z5NAfSqIDIGoY4tlEfLMSKLtpSSra2VTEhayBCCG4edQK/HnEsprRwqjYxvHlLOU2RMsxoy//u9nocqoYqFExpoaKQqfWSRgbABfoE6HgI9mNTrCmCA/In4tTSOHfgAby1bz4neDaiCXuUNWEPr9UPx0JS5W9mOiDNOs7Nep+5Hp3qUCr9Xe1kaSE2+PKoNXKYmzeS2mAbW9oq90vgY/MqTWqDbTw69FBe2r2ANc1lsW0hK8Jzu7/lsKJxBM0wFy17gqZQO4a0KOvIZZd/Do8NXhBVjNDBKqO7aCnCCcZ2MDYAOuelp/GuMpdAtxolXVHZ4a3msR2f0xr2xz30dMKp6hxcMLprzJbJX7Z8GFcrWRtsxak6yHdlcO3wozm+z2QaQu0MTMnjxIX3x6V7BYCUrGvei0SyuqmMURl9+MO4M+ifkktzqIOlDTtQhELEMljTvIeAGebluuF82tyPke5m7itZHj2YBWZinWEMVjmy+TzI+w4hfqwuMokkkvghJAnVfxBOnzue42eMpt0fJDvdEyvU1jWVqcNtvagTZo3m109+xJItezGQCF2iT+lATZNIFM7qdwCPPL2SupZ2hBCkuBy8+puzyctMpSXcwQVLH6c9YrfTO1WNl2ZeTZHbVoKWUjIqox/XDDuCx0u/7JVUAdQH2/i+fjsHFYza77VMGdoPmrv+FgKc4/2M8pSwcWddrFvOpWuMGlAQ995XvlrNh0s3x+qldFWhc90dUpzLKbPHcujNTyEQCAH3X3E8M0fZT+2Di3P58A8XsWxbOY9/tJTWDj+GaeFyafz5kmOYM7aEQDjCX9/81pYxiAYk3l+8mSOnjGDsoHiyNGvUQC4/ZjpPfrIMKSVD++Ty56gERnVTGzc9PY/d1Y0gbG0pVRFYlsShqUhg1IACtpXX2SnDvRpqfwWRaqFpAlWo3DdqALLxeBCCewaE2ebP5NrdczFR0BSVQldm3Hg0RUXrlh/d62uIIyVhaTAnZyRew8/ejgYGpxWQn5kLwefpkksQoPSBtBvBexcJMgoxuCmzTmRFcyUBM8yejjq2tlXxqjiK8SmNNEacbA9kY6cDjS4jbKsNhE4/p49+TjuaF7SczMopoCTbJhMdRpCjv/szZrePmIrAo7loNwJxozClhUPRMGTiJ7KzJm9jSwUdkWCssD1kwUZfDi2Gh2w9jC2F0J28WVHvw05ESFMDHJjRyBctRUgkLkXn5L7TuGLFM7E6KKeiUeBMp8MIoQqFEenF9E/J5dU933NI4RgmZA3Eb4Z7JYovln3HRYMPRFc0BqbmMzA1H4Arhh7KC7u/I2hGcCgaBa5M3q9aSbhbun5LWxUXLn2cBydfyE1rX40jYN2NsxsiHlqNaGpduMF9tl0jF1lO7MPeE1YrmDUxaZMkkkjif4YkofoPg8uh4XKk7ne7aVks2rwnpp8kQwrKojyuP2s2J0wbw2PvL6WqsS1GRoLhCPe9/R33X3E8T+/8mqZQR+zHOGRFeGjbfO6bdB5lHXVcu+pFWsP2Apiue/AbwbjC4u5oCLb1+nonRuQUMT5rAJtaK7AUC1UqDMss4r5LjueKB9+ltrkdS0omDe3LuYfG13Es3FQW58kXMS0mDenDY9eeQiAU5tjbn4/bftMzn/DFXy4n1W0vJFlpHnZU1tPo9cXmwZKST5ZvZc7YElraAyhKfOomGDa46L43yc1I4fpT5vDcZyupa21nZP8C/nzJ0Zx/2BTCEQOnQ2PnvkaqGtv4zbPzqW/t6GEFY0NVBIVZaeRnpLDRtMcgioLgtkBI+rizuX3kDMbKm8AKgAS3CiM8rRyTU8vXrQOZkl3C1JwSvq3djACm5g4hVbN1sWoCLfiMEENS82mORmXAbnCYlD0wrp7HCm+H4NPdRwepVyNcxyDbbuz9BooMdqu/5dK1GwlZNvHY0FKBhUUIB4u9xQlvealsIUXuLHZ4vcwVDnT8gMRnaoRlGr8afT2KmkZ5RwMvli2gvyePvR31OFUdE4sz+8/isiGHcOjX98SRCQWBS9U5oe8UvqjZEKsPcyk6Z/SfER1vb4k3DSV/MZhfQvvdMa2s/UFBcO2wQ3FUufGbIY4pnsgObzXhboQlZBkELYPvDr+ThqCXc5b8nTUtezClxQeVq7hn/JnMzRKkaQqtESvh+K1hf1zxOsBFJQcxOLWQdc1l5LsyGJ7ehxvWvkyoRzdwyIrw1y0f0mEEY9faMwUpkJS4g7YmXMpFKJ5TkDKEDK0EYy29RyKDyODn4DoIoQ35wTlKIokk9o8kofovRM8qDiEEKaoLp6pTXtcc1wlnWpKK+lYAqv0tcU+2prSoCbQgpeRXq16kIeSNbfMbIS4oORBLSl4qWxAXrVJRGJ3Zu8J69zE9MeMSXtq1kG/X7MYddHNG/hSyUz28dfv5VNS3oGsqfXMzEtq38zJSUERXIb6iCHIzUnDqKlvLW9B6SCwoQrCvsY3h/fKRUvLqV2t4c8GGhHnYWl7Hht3VjOifj0vX4kgZ2MmghjYft734eey19bv2ccXD7/LeHRcgFMFF971JWY0deguGI/ut/zEtyb4mLw1tPhRFYGaEUSZ0IKLfuOpAAy/tfIG/lcTLC7hVOKvfEI4dfC593dmcufgR/IYdQUrRnLw88xoeK/2cr2s3owkFj+Yk35lBS8SHKS1m5A7jlP496tECbxMfnTHA9wzCcxpSGw3Gpp53D/SRfN7giev4tNh/es6KCnies/jvaIrCS44DuHfQKl6q7cenLf0RaAyrfJXfjT6JK1Y8S8AMI5E4FI3DCsdwcv/pjMroS3lHg22H1G1iNUWhtL2GCVkDeXDyBTyz82vClsFJ/SZzUt/pBM0wX1RvIGwZMS9Ip6IzLWcwWbpEGj74kdSiLYAqyEkZxW1jJsQ+kzvba6MF9ol3+oPKlXQYwVg0KmRF+Pu2t5g74gN+3zebG/bMpPu31anqZDvthyUZWo703gpWC+iTmZ37AHPyRwDQEu7AsHobr4gjU53zPtbTxIEZ+3ilfgROxeD8/B1YSi6K5cWyguB/FcxS7O5Ci16r1joeQHb8HZl+B4onUeg3iSSS+HEkCdV/GVRF4bgZo/hi9Q6CYdvGxKVrHDDaFqCcMKQPq0urYl1pDk1lfIkdTZiaO5j1LXtjhbdORWNKzmC8kQDN4fhCa01RGJiaxxFF4zmoYBS/XPUCXiOAisJvRp/IqIwfTw9oQmXDl17Kd4YIhn3sWP81m8vquOn0gygpyonbNxg2+HpdKR3+ECcfMIaV2ytiyuIOTSU7zcOMXz2KaZr0pJQR0yQ/yzYcfn/xJp6av6xXeYX61g6ufvR9JpQU8+gvT+JXj39EeyDUa9F7J0xLUl7fzNFf3Mus8Hh27muMs7TpHZ0LliBsmIweUMAO5166CVwTkQpr2nMS3inQGJJ9LMIxiNs3vEVLyIcZKwA3uHXDG3bUxDIIA0EzwuiMvjw05UKcik6ROxMhBG/tXcpTu74iYpncN6SM6Z6e7nZRQ+isJ5DNl0UV7gGctthl+t2kt5SjC5WINMnT/YxPaSJgOdnkK2RaWhWL2vIJdbOlkUjC0iBsws6AizO2HYQiBIY0AItSbw13bHibYJRMgV14vqxpJ7eNPRUAl+ZISDWb0qLK10RJagFTcwYzJT2IbLkarL8jG4p4tPZovqj1xaJ0KoLT+k/n6kHFyIaDomQqTBeh6AkPYNj7NV+IdB4AmY8hhMrRxRN4btc3cXEdKSV+I4TPCCWk9oKGFwgyK6Oau/qv5E8VU4igAIKjisagIJBGObLlSmIaV+FFyPoZSKUIkXkvWY5p3D7mFO7c+HZsLgT29/WgglF8XLWMULS5wyUMDsuq4JScMg7LqsQhTNK1CEqkDCIbwfcsyFb2X/rf/fMQBO8dWEYlpJy9X7/CJJJIonckCdV/IW4/9zD65mWydMteCrPSuPak2TGrlgsOn8K28jq+31QGQjBmUCG/PnUuAOcMnM2ejno+q16PRDIjdxhXDTsCVSioQmB0+82VQL7LbqcfkdGHrw+7gw4jiFt1oP6TFhZbyutYt3NfLBIUCBu8s3ADlx09nczUruL0QDjCeX95ndpmL6YlURTB7887go5gyBYYNUwe+XBxjCSpCqhC4HbqRAyL35x5MFnR4326cntC5KkThmlhmBbrdu+jrKaZr++7kg1l1fzi4fd+mCRJaDbb+UJdTtjIpDuhExBLH9r1PBLSDZQpXqw16ShtDsYPLubEaYN5ZMdHcZIUqWqk21FAovO171ju3fwJmvgUj+qIkSn7+BbV/hYCZveokWRPRwUDOg4H4ULyWxZ3jOTx0i9ixPm5qiwmD9XRRef7bJFKAKEWIPI+wbLawf8hmDtBnwRqP07ql8/bFcvop5fzwKCFduRH1bBwYlohLi+dTWUolbBUcSg6YcuIW7allHEp44g0qQ+2JaTmuqdMC1wZHFY4hm9rtxC0IqgohC2Tv22fxwPb5vHgpNOZYFwIMhpNtaq5LPsVPqk9ls6fM6eqMzy9GLXtVz3qpByg9I0Wp3e/g07szr+opEJoCdL/FiLlHApc0QhqtyFHpMF3dVs4pHBMnG6bS1E5Irsmtt9R2ZVMSavj1j0z2erPpth8EdnwCHh62jlFPzfWPmTz5ZA7jyOLxzMlp4RXyr5nY2s5uc40rhlmC4h2tH/Aly123eEJOXs4PXc3ioBcLYgiJF3Z7CDI/XR37hcW+J8C/1NY+nRE9jMI4f7xtyWRxL8QQojhwFvdXioBfg8sAJ7Cbtc1gKullCt/8gHuB0lC9V8IVVG49KhpXHrUtIRtmqpw/5XH09IRwLIsstM8sfSFKhR+P/Y0fjPqRCS2vk0n7hx7OndvehdFKEgkhxWOZXxmvLxCZ/3OPwtfIITao1ZJVRX8oXAcofp46Raqm7xx8gSPfriI+X+yfdN++/z8OJJkWpKi7HRuO/dQBuRn0Se3S0cp1Z2o56UI6K5kEAob7GtsQwjBhMF9OG3OON5fsgmBwDBNECJK3mx9LDHYb/sNSwtHqkK4wz6YripMGtqXaSP64U/v4C3vQgKRSCytJ6Z58Swq5pxDJpHl3sg7Ze3UhN2YCBQkv+3XaVIswXEcTzcczpvlywla9iLYGukRNRQKIzP64m3a2c2UV9Lf0QoEQAbAeycVrRfGtf9v9qdxa/mR3D+sJSpSeQbCfUr8JIW+h46o0GPwY2TwI9Kznuf1A34FjUfgUTrn3wCCoMBzw75lXvNAmiOpTCo4jr/sbKA6EC9Z0Rnhssdq0d/RyJ5QFkGrS2Pp1H7xKcrfjz2NKTlDWNKwne/rtmFKC1807XnLurf5YowVF21ThaS/s53SQFbXeRUBVh3xEIiU85Bqf2i9GptASaClx35BMLbG/uoZhbKkHRkcnzWAP44/k7/vsE2Sjygaw1WZX8Ttm6KY7Aun4FENDs8qBysIvpdJTNx3DlFAZDVo/chxpnH6gBnMyB1K/5Rc+kSL/u8sqeZ2Y4lN5rsdRhUSsZ/D/o8QWYFsOgdy3kGI5FKRxE8HKeUOYAKAsNtP9wEfAM8Cf5BSfiaEOAa4DzjoZxpmApLfkv+jyErd/1OlsxuR6sRhRWMZll7EDm81Ba4Mxmb23681RcQwefTDxSzdWk5eRgq3nHkwgwqzE/Yb2b8AoSQeo6chcUu7n3APrSdvN3++vIwUVEXE6TsVZqcxa9RAGlo7uPC+N9heUU9Wmocrj53B6h1VBCPRqIFDp39+JjurGmOREKdDw1MkOHvxI7SEfUwZVsID449lT1UrT3yylECoWzeUx0AdaRczK4pgZJ8itpbVg9Miq0TlmGMGclifsXy8bzVWu6T7uiNcFq9fNZ9CloA5mReHf8/XLfl0mDqT0xoY6u5W2B+exzc1qTGi0RtMaXHb6FP4y9YPWNpQiqYoOPFy18AV3fYKMdJdhiay4+rlas2BKNkPxv6WVjtW66324i1ywdxLrNtPYnv7hRaQ4ToES+3oNWPkUixOyy0DPIiMDB6echy/WvUCDaF2FCG4eeTxvL73O2oDDSiAJiz+MHAJbWYxTzaciM8IcnTxRM4eeEDccRWhcFwfu1FhaUMpEbObqrgRIWBaeNTu44CAlQLYBC7LkcqsnKHQlAJ0tzpSQBuKiKxB9lT3j78y2zIJuxZwdt4IljWWxmQQFCGYkTsUsKO4lw85lP4puYzK6IuMDLRTqNKLITVeazqE2RlNXFywkVw9Gi2SPlDybHLVWwoy6n35dvlSHt3xBbqiELFMbhx5PCf1m4pI/wNqyxXR+xVtTpEkkCmJQkPYRWkgnVnptfTyVbTnpDNC1huMrcj2vyLSb/+B+UoiiX8rDgV2SynLhRAS6OzqyACqf75hJUL0pqvyn4YpU6bI1atX/9zDSCKK3z03nwUbywhFDISAFJeD9++8iNyMlIR9d+5r5NIH3qIjaKdTFEWQ4XHx/l0XxdKUa3ZWce2jH8TqvjTVNjPWVBVVEXh9wZiHn6oIXA6N5288k2F98zjt7lcor2uOkS23Q+Phq09k5fZKhICDJwylrsXL/W8voNHrx7Isjpo7lO+zV8Va4R2KyuTsEo6Rs7jnta9i5ssACInz6BZMxYTNaRyeN54jDhrCnbveQEbFE7McKfx6xLHcsfGtbia+kmKHn/dHfYYdjXBhL1r7T8FcWnoEW/zp+93uVHTenfNr8l0Z7PHV4zfCDApeipu93fZyEHRdwtr6zxjurqM+4uG+quncMPaGOEFIq+k8iKwn0YqmE25E+q0Iz5lYzRdAeDVgELRUHqyayJqOPPJ0P7/pt4FBbgWR9zlCyURKSbsRJEVzEjDD/G3ttRyUsQMFGJfSRJoWAXRE/hKEkrnfawVbmfwXK56Ni7ZlOVL4dDLIwFtErAiWhE9bR1CvX8mapj1UB1rIdabx58F76MtXxElCuE5FyfwL0vcPZPu98dtQbJkBaYJzBiLziVhUJmiGuW/rx6xo3EWmI4Xfjj6RsZn9eXH3d7y4e0GsgeKCkrkUubNY3lhKvtPDBSWHks4OZPPFdHkCQsyAOkGuQre3qYX41RmctCaCt1smWkGQ40ylf0oed42cSJ5YB6GFYNWC1dwjvQnV4TzO334QFhFSlDBvjFxEmhq/D0oxKGlg7KT3+jIAN0rhhv1sS+LfBSHEGinllJ/qfJ78fnLEqTf8+I7/Aqx76oZ/+tqEEC8Aa6WUjwkhRgJfEDPjZJaUsvzfONT/X/i3R6ii4brVwD4p5XFCiEOABwAHsAa4VEr5Q4+LSfwHwbQsvlq3s0u2QYJpWizdupcTZo5O2H9gQRb+brYxliUJRQyWbyvnyCm2bcjkoX255cyD+du7C20rGgkdgd4XegHceNpBDOubR3sgREV9S1zkSiiCbeX1fLNuJ1WNbbzw+SocmkowYqAIO2L1dcVm1Mxu2k2WyYrGXRxfMItID085gcBoF0ipISOSb9fvZn3BFgJqKPZMbwRNNrdWcHq/GbxVsQxNKOi0c++gpdE9JGCC8IAMYy+cidpP9w9awenbjyJoShDxqSaBIEN3k+tKRwhBSapdQyNDdyBbrsFOxWkgsnAZi5iZXo0gQpYW5Plhi1DTf4+0vMj2v0JkGxhbep3fLki7lgoQGQ8hWy4BYye/2zODNR1FhKWkOuzh8p2H8vYBl5MbJUdCiJhY7JbWSpoMB5NTG/CoZrcjW2C29EqopIzYBr7Cwcj0Ei4efBDP7/4OXagIIXhw0gXItGLu2F5LtlpHWTCdNR35OJSlCAkhadAc7iDN+BK0rs+QJeGlvdt4vfFurh9+EMe5CsGsi86bAinXgHMmQkkDtQTpfxnZ8XeQERyuo7hjzJ8Qoiud3BD08vzu7+LEO5/f/S2aUAlZBrpQ+bpuO6/P+hVu99EQ/Mw+jzRBLYxGBLsjDTuaFgFzD25zL38fnMklpYfEhF4tJA2hdppCHVy4qp735t5ISupl0c/BcmTLFdiEXWDi5I7yKfgsCWgELI31HRnMyehBqKx6sGr44aL1AJb/XRTPaT+wTxL/7dAafOQ8vfTHd/zXIFcI0T1K8oyU8pmeOwn7S3cC8LvoS1cBv5ZSvieEOAN4Hjjs3z7afxI/RcrvOmAbkC6EUICXgUOllKVCiLuBC7EnJYn/AghsAcu4TiwhYiKkvbyhVyg98hMnHTCGkw4Ywxerd3DPP3pEibrBiMpAVDd5+c2z8xI69KQFz362HF+wm4VINPJlSfCHIoiQhRox4z79mqKySG4k4gyDqdoWOaqEgX7IssmYzO7ACPlosgTdfIqJSJMvtmyj5hsBzkzmzhzE7Qfcjkvpfg3hKJkCkKAMB2sH3ZGtt/PemDW83nICr1VUxW1L1Zw8Me2yWEPAF9UbeHXP9wBcU/JHZqTVgeJBOg6GxsMQdKansDWawivB9zgYe9ivwGN3OI9C6HZaS6g5iNyPCEZaWbH+/ti9lwgsHKxuLuMI8wOQBsJ9AkIfCYBLdbDBl8uitmLmZOzDqVi2KY5QoelEZNZjCOfcrntnNiGbz7YXeSnBMYGLSp7l+L5TaA510M+Tg1tzUOVvYok3m6CZFnuvYZlxn8mwFf95NKUgYCl0GEEe2PYNxZMeZFLaGvA9DZYP/M9A8GPIedP2/Gt/iFhUKfgFUqQiMu6MHa8x1I6uqHGEypQSM/psGJEmrWE/ixt2cETRX8B9CptaSqmK5DIo/CbDHXt7THg330Hs2rhBTi8lrjZ2BTPj9rSQhMwI21rLmKS/CeEldgox/R6IrAI0vvOOZVdgI93v9Ut1w5md0Yjobr2DSoK5eW/oeAKShCqJfx0a/8kI1dHY0anOgsgLsTkFwDvAc/+Owf1P8c+1a/0PIYToCxxL10XnAGEpZWn076+AU/+dY0jiXwtFEZx98ERcDpuNaKpCmtvJ3HElve6vqyrHTx8Vt3+KyxFTNu+JFFfvJtGdcGoqhdmpXPHQO2yrjLfUcDk0Soqye5MMioOsdSKDCg7FHpNL0bl8yKF8Ub8e9cAWxFA/on8AZXw7yih/rDZFCBAuiaVZaN06HTWpUrczhGlJzIBgweIqNtTNIWDarMtKGE8YtAJQh/Z43SJT7OKc9KdwKPERrJBl0D8lF4Bvajbxp83vU9peQ2l7Db/ZtIYFvlkIz7kINZuEaIPsAO/vwSindzKlksB8w98m7KWpab3U1VlovgfA9wz4n0c2nYrlewOAMZn9GJJWxJ+rZvFa/XBMqdhzaAs+IFtvjh+m907brFj6gQCE1yF9L5LrTGNYelHMyDtd92D2qtPUhadqRxOOWsgYUuCzdOY3DwRsj76lTVVg7AWrHbsbzgdmBbL9fmToW+JTdEEIfRd3/H4piZIXiZBELAMhBI/taeKXG3Zy3/blXLm9L6/Xj+y2n5Penm01VcGlqriUxJpHC8lg634IvA9mBUTWQvtdiNRfomTcxYCMeKNmBUFQGYGS8wa4TwbXSZD+B/af5uuJZBIhiZ8FZwNvdPu7Gjgw+v9DgJ0/+Yh+AP9WQgU8DNxC17e2EdCEEJ3M9DTghxUik/iPw/WnzOGm0w/k4PGDOW3OON649VzSoirlveH28w7jymNnMH1Ef46fMYrXbz03pmreE9NH9KdfXiYOPdFXTAgYUJjFu99vorrJG1fc7tBUzj54IvdcfNQP6koBCFMwaOdQzu87l6K2Ahybslk5vwkZEggN1BF+W4QzzUQ26shQDxIhwK06UBCoQiGlLpPI3i4iGAwbXP9RCfdXTeTz5n7UhRMbBCLSYFFbBoZMDOF91NgPQ8Z/NbunIt+tXJFg4vtu+fLoHLnAcwHQ45yyjcQ0owNcJ4BjDtBjvmUIq34GVu0IrMaTkWYtihDMyh2GFvV804VKthZhVlo5XSTOgPY/YLU/gRL8hKfGD+KqoYcwIHUIag+vOClbba9GGUaGV0Vrurov3EEIfo204rsd03U3lw45BJei41A03KqDqTmDcXbrCPimdRjVjrvBfQqftozlvO2H02zYNXsORSXbkQpGKfE1ZBEwdoCSSwLBUewOwl3ttaxq2o1hWTw8+SLStd6bP+wOPIVpuUMo9zXydvkyglYEvxkmaFk8VTOWVnEgOA6CzGdATdR1U9V+PDHzXl474FccXjguRqycisbQtHzSrWV03VNph2dDi5GhRQxTPuaWoQPQFRVVKPT15PDg5AsQ+miUjHsRqb+yI3Ps/3sbB/eZ/9x+SSTxL4IQIgU4HHi/28uXA38TQmwA/gxc8XOMbX/4t6X8hBDHAfVSyjVCiIMApJRSCHEW8JAQwgl8yX5cWYUQVxCdrP79k07o/0kQQnDK7HGcMnvcP7W/qihceMRULjxi6g/u19jmY8mWvZxx0Hj21DbzxrfrYvVRihAM75dHQ5uPxjZfL++WHDpxCBkp7gSphp5IT3Hxt0tP4NrHP6CmEQzLYqVSgV6Zh3FwHRKw1qQha52ABFOAw0LkRVDGdyB0SU59Hu6tDgzTwu3QaKY1Rik0VcFwGXzaMpBPWwZyQHo1fxq4ApfS+VF38UhFPt83m7w4zIFHMVCERBcWioAmw0VExpMPd7fOTF1JJJu68GO1Xm/X6LjPAa0EvHcSH4FQov8MwAn6SETGfXZkpulEiJUyOu19rKgZo7ENq+kSbt13LquadmNKCwXB2Mz+3FeyFpfZ8ytsge9hJB5UAWelDYT025HNX9EZITMswZ5QBlsrvuPElL+BWd27ZpKxFdl0PDL1Juj4mx1Rch7MxSV/YELWQJY3lFLuayRVM/jV4P7sDYRpM7M5a+ABlGT2A06jT2QXHVWvoisWqlDIdqRyQt8pvLprGF/WZZGihvll8SbGpPhAH49IuRgZ+AAsr30tQoW0O7hn07t8WbMJXVGwJDw69WL+OuEcfr3mZUI9ykDznOk8POUi8l0ZrG0uQ1fUOCsZTdFoTfkjWSn5tEUCpGa+hOK9ESIbkFLlzZZDebM+H3iU8wfN5Z7xZ/Dy7oUsbtxOkSuLW0Ydj2h+nPifT2FH18JLQIY51q1z1MShBFN+T5qny/hbRrYim8+xPyv/TPoXDVzH/xP7JZHEvw5SSh92Vqv7a4uByT/PiH4c/84aqgOAE6JaES7sGqp/SCnPA+YACCGOAIb19uZogdozYHf5/RvHmcR/APbWNnPBfW9gmBYCgaoKNFXFtDrrnyQ7KhtwOhLJBNjF5iP7F/C3dxfGOgLtDSYiw8BpOhBenfzMVJ759enc+PQnMUsesLWtXBGNQzyTWVRRSnut0yZSnamwsIqsUTBDCq4hYSrWRAhHbALg1DUcumrXhQlBitNBxmRJhdmBBJZ4i7lt73TOzduJS3UyIP+3fFj/PYa0OHv7kRycWUWKEmFKah2zMuqZkd7CR83EREA1oXBQQVfB/8UlB7G+ubvivcqFWe9CMCoqGVoImQ+ToAwuXOCYa5vh6qMRab9CCAW0gZD9D6T3z/Y2bSCElgGd3ncWW9pbWd5YGjunBDa2ViBcxyN93yN6XZj99o5GGSKylY3muYwQL6IISUU4lRvLZnFu/iPgLGf/3YYRMGuh7UZi5CH4KX7Dzx8296Mm2IpAIhF8JUyu67OZk4eeh5LSD2m1IluuYbKxhheH57IidB4pnikcXjiWV/d8z2tVkqBpa5j9cvdcnh9Zw5DUGxCKB3Ln24XkMgjOg1jaEuLr2s2ErEjsvvx23ev8dvRJtjRID07ZFO6gj9uWEhmUmh8zce6EKlQM0+SEhffRHOpACMFto2/m6D4T+bByFU9XzSMY9VB8bMfntIZ9vLZ3MVJKdrXXsW35Pl4aezEpoVex05M6KOnR1GTnYExUcxMp3nOxzCtR0q617533nh/1NewJO5VsQ0oDZMAu4MeW4CDwoZ1ads5F6InNKUkk8f8C/m2ESkr5O6KV+dEI1U1SyvOEEPlSyvpohOo3wJ/+XWNI4r8H97+zAF8wHKt/EkIkFK5bUhIM9V7L0SfqCVjb3B5L+Ym8MMq0NhQEQlOY4B7M32aey52vfMn2yp6ij2BZcH7JHEYag/i7WESkZ32JJRBNDsYWDGJVZF/s5VDEYFBhNhcdMQVFUZg7dhDtBLhy5TPURU2kl3iLWeItxq06eDx7JBK7oNxrOvioqQS3qjI9ywOKm1l5w7kmtIWnaoYRlioHpNdyc8lkpAwghJuJ2YP41YijeW3PYjRF4ZZ+uxjvquk20CD4noPU6+xiYsLYEamJiMyHbRLVA0Ifi8ixSxVkaDEyvCyuFKvNcCUo5CtCcOn6UuamDOcXRZv3o3Nkj0dGNrMjOIlf7T4VhTB+y4649XW0kkimNOJTfz3veQjC31ITPBGiZAogKFWerhnOybl/QrqOsI2fI+sBi0HOegY5n0Bkv4rQnHxQuaqbxAWELI2vA+ej+zt4ePvbNIbamZs/kksGH4ymqFT5liYIfDaG2hmT0a/XBjlVKPiMIG7NQZYjlQcmns/N6/5ByIqQrrt5aNIF3Lju1ahyPCDhz1s+ZERGH+bvW5uQ0n1t7+KYzAdAbbCV95oP4YKiIRBeZHcOuo6HpjNIDPqHwfcMlutIhFlu11z1hMgCpQ+4TwPfw1G7ms6LKQJhS6JYvleg/V573tUBkPkotFwGVhMQgY4nIfMRhOvgxHMkkcT/cfwcwp43R9OBCvCklDKx+jWJ/+dQ2+yNKyaXUqLrKqol4mxhegtVOnWVFJeDY297DsuSOHSVcMRAmeq1Fc6RRDBZ69/NQwu+ZvWOSgwzeiSHZe+XFUFKjXpHE8P75aEqSiKhwq6LKUzPQHFWYTlM8KtgCtI8To6PykYYlslnFWsZld6HpmA7RrfjBMwwv1v/OkcWjuPb+i0EzQhORWNQSiFT+p4PLedC6FvOyDM4I29b14k7liH9D0HOWyxqauWR7Z8RsiIIBMHwNjsGHIcISuqVSH2s7emmFoPr2AQyJc3GaN1QDkIfEZ2TWaBPtMU9pS0rMCL/QqyKPbH3iagNcYWvgVd8I9gZyODBkiX7UepWIPgp07WlPM4BMTLlUDTaxUhspfJunWdqXzD30VUfpEfvfBex8pu9l3/aqdIw0v9uVDure+TMgPBKcIxH7TFQBYWQZXDx8ifxG7bXYIWvkcZQO7eOOZkhaYVxBF8AfT3ZZDlT+Nvk8/nlqhdjljoKgnxXRswI2bBM3q5YRsQy0IRChuYmQ0+hMdQe93lWhWCHt5oULb6uSUSPEXedlkl90IviOQk8JwFgWX72WzwudGi51I4mJRBYF6TdjnDOtD0Su5MpsNOxZgXSaoD2+7rm1CyDlkuiqeHOYwaR7XcnCVUS/0/iJyFUUsoF2B48SClvBm7+of2T+H8LX6/dGZd+A7tj75oTD6C1PcDzn8dbNTl1lSHFudS3deBxOEj3ONm0pzZmXaMqAkUToMXTL8Mw+XDTBpSQJ/aaMq0NkWUgFDAw+O361xmUmk/WUQEa1loYVdE6KmwZheET0smZAEpuox0XESDqnVw+/STAJoI3rn2Ftc17o4QnEXXBNr6q3cRxfSbjVDT6eLI5uf801OZTox51vdFGE6x6ZNsdPLFjTMw/TiJ5p6GEaWn13bz6XOC5EADhnAXOWb3OuwyvjGoXqSAjSPeJiPS7bdKV9RyEvrS1mvQJ5Dkm8Pcp5dy6/g0aQ+04VI2QGYmNdFcwk5BUcYme0ZHOtGmY/s56HipZxL1V02k1c0nRHLzVkEWJs46hzlIECuijIPNJ8N4KoQWAAu6z7bHEFm4XL9dNJF0N4TW7mgGcwuCwzEr7D99jINJANnUbiw6Knbq6uORg2zImSkpdmk665sawzBgxCloR5u9by+9Gn8TknBLOGziHl8sWoikqbtXBA5POpyMSRBUKd449jWd2fU1jqB1NqDQEvZy26EHuGnsGW9sqWdG407bgkVAVaOHhHZ+iCzUu6mX7Z6Zz5dDDWduyh1A0guZUdSZlDWJ1827CUWLlVDQm58R31orQN8iE6F7nwQPRGrVetgkdHDOQzReAuSdxOyYysg5Cq4knYzJq79Pj82p1kEQS/y8iaT2TxM+Klo4Av3/p8zhxToDjZ4yiODudxz9c0uMdElVRuPzYGcwday8os657NM4HUAjBNccfwHv6t9SFutm7CIg0K7gQOHVbKNLINuIUAyLSpLS9BgQ4pmgoo/yEK3REQEXkRdjdp5m9tXtsYe3ONxWEeN37LQdwKWUd9ayLkil7tF37db/CiDSZX72WOXkjuH7YZDttYnSLSPUKC4wyQtaIuFeXtxfwYeNgTs+vArUPeK5AcR/X6xGkDCE7HoPIJgivIa7zL/gJuI6xBS6FCq6j4947LmsAd48/k+tWvxSXLgNoirjoMB04RaBblMplHy/Y1aQzMbWRl4d9xrk7z6c26GWfNLlsxximZM7hvEFzeX3vFiSfcPaAm5ha8ChSKrxXuZJvaz0clr6dOblF5DrCXN/3Q64plnzX2pfHqseiCYsDM6u4tnhT9EwKpF4P7X+KzrwK2iBwH4+UkppgS+we5bvSeWjyhWxurYxG3rpgSJPPq9dzdJ+JXDH0MM4YMJO2SIBidyZ7Oho4ceH9WFiY0mJ27nDK/Y2UddRjSosqfzPXrn6B6TlD4lJ4hjQp9VZz17jTuXPjO6hR/8xDCkYzMWsQQghemnk1z+36loV1WwmZEUq9NYxI78vGVlsU2pQWD26bz4j0PjGPP+QPERmL/Yp3yoA9T2YVvfcICQitguC7vW9DJ45oyQhW3TT7NddRUZL+w3IoSSTxfwFJQpXEz4p9jW2oqhKXmUlxOZg7toSbn50XE+UUfYJ2h50qkV4Xw0u6mj8cmhpnnqwqArdD5+HJF3HNyudoDviQAqwtKdCmo7oUzjtxPCElxFv+eiK9N5oSlgaKW6AN73ZsodKbXdOqpt2sKN1LWoGG0jOtRu/6pmHLYFXTFiKNj6AnGPTuB2oJtw2qwW0soSHi5NHqcdSH3QxxN0ajED6E+6he3yqlRDZfYqcAe1Fqt2XvK4CZiduAL6s38IdN78bMjjshEDhVB4/Vn8Wd/b4CqxpECiLzYbAakcH34/bf5s+iIeTDkJ3zYLKypZnVrR/HhDJXN5Vx38RzKW2v4fnd3xI0I6xpyWVJaw33DVqOgolTgSOyKpibUY1btRBxKdoguA5EOCdDeAWIDHAdgRAOPqlazTvly2P0oj7YxnlLHiXTkYIqlLhSfgn8ZcuHWEiO7TOJTEcKmQ67nui2DW/SbnTpVS1u2E64h8CoQOBQNJyKFuvyUxEMTM3nkMIxDE0rYrt3H/muDMZ1889M1z0sadgRm+vGcDt+M4xDqISliSEtmkLt3L7hTV6cebV9MscMgpbKNn8umrAY6WlBE51j+aG+HiOqlt779wCcEPyw92MoOXZaWHaPXPm7it4DnyJxITLu+oHzJ5HE/w0kCVUSPysKs1LjoksAhmkSCEXQOtXXMyMoE9pjxsORzCCnLvkbs3KH8bsxJ3HUMSV8UL4SMyxR9qSShoejpo4gI8XFvIN/y/kP/4Pd5c2x33xjeCuvhr/EoWgIRTDM0cFlhZtQhMnbjUNY2V4YG4sQgs7iLoEgRXPSYSSSESnh+sc/5jdnHkya7iJghuKWHyW63Msei9IITysqbfQOu06p+1EgzCTH1+AIMEzC5NQGNvmymZjaaO9iNSONsmghcQ8hTrPSjkz1RqYACCJ9zyJxoHhOjtuysaWCeza/n0CmAIrdWdwy6gSm5Q5BFb9DyhDgQAiBFVqfsH9LJCXWKdcJQ1q2jlIUISvCK3sWUuFriouGDXE2gAzFGKoiwKMaJFJWBdrvQ2Q+CNoQvqrZyIu7n8SUEpeqxUWMbGtgSXO4A00opKgu2s0uCYegFeGNvUs4NmrY3InaQGv87FlGwigkkiOLxlMf8rLDW42CIFV3cesYe377peRQ5M7ElFbcvdrRVp1QBB+2IvY8RWEh2etriP3dZOZySekpeMPtgKSvs4OnhiyIs/0BujV+dL7isuvm1AEQ/JyueraozIbzMAh9Q6LEgm5b9rT/hf0jCIG3sMLLIOUKFE9SxzmJ/7tIEqokflZ8u343PZ98zz10Em6XHiNaIieSKORtGSxu2MF5ix/FawaRxREUCdoAg79NPiNmvKwpKk9feSZ3vfolm/bUkNZHoWFQCyHLiEVDqiNO5mTsQwiYktbArXtnsNRbBMAFg+awoG4bNYEWBqbm8ZcJ5/B+xQpe3bsoNhZpgtzrIhQ2uf/thRw9cyJfuJcRcnQRF3M/EQLD0hD7jR70fN0ZtRaxF0hVQIpqMCO9m2K8jEDTGUgioGRA1nPd2thNeo+VddbdRCNU3ruwhI7iPg4pJWuay3i7fBlhq+eCahs2XzfiGGbmDUOGFmJ577ZraFyHIFN/Ba2XJLwnRHoCVewNlky0KKqJpGCioyQUVvc8ook/uJ5UYFH9du7Z9F6MRKlCQUTFFnrCkBYdZqIeVs+o48rGXaRpLkLhSMJ+QoKJhVPVGZZWxKz84RyQP5xSbw1BK0KFr5H5+9YyIr0Pi+q38WHVKqSUzM4fwWWDD2Fxw3Y+qlodZ2tjz4dMuErDMjnsm3sYndEPVQgaQiFMaf+s7w2m80LtSK7psznuroeloCqUxgBXB6oQCMcMCH5jF5ljgDoS9MnRFJ8aJVM951uB1Bui6dwf07Iy7dos7x+whBvFfcyP7J9EEv+dSBKqJH5WvLVgfVfHXRRrSqt4/Zt1sb9VQwWZuAQb0qQx3K1TSoCJyVdNGxib3yXAn57i4sFfnICUkt+se42q+viFym+qBCwVj2riUkwuyN/OUm8RCoKFdds4qmg8Esmn1ev5zbrXOGvALNyKg4AVjg1J1to1IoFQhPcXbEGfIqCY/XoZArhUnevG3IgILY0qmf8QXOA6EoLziU/NdBfrdGEvbtE0lNWEbDoL6TwA9DHguQy0wd0UwnW7o05kgbG22zED4H8N6TqWOze+w8L6rdFi7Xg4FI17J57DzLRyrOZHIPx919gCn0Dwy17qelTGZY9jcnMdq9uzul2FiBO/dAmDs/MraVSO4u87vogWj8MSbwmmpqCby3scV8FCQYkWXUcswbI2haqO7/h435q4iJQpLTShogkl7vVOJNBYRefiwQfF/n5+17e8vGchYTOxwNuUFrpQObnPNEZl9uWY4okxuYlh6UVct/olNrZWEDIjMbLYGYla1lDKkoYdSCnjvTKjECQaxYQsg5BlsKppF4pQ4qJaYamysK0Ph2Q1McxdiyYklgRDqvy6bDYB00H/lFyeH7kTzF3ECtbNvWDtoytSBTF7HKHaTxAZf7VJUmRH4qhESrQ7tGckNAiBdyBJqJL4P4okoUriZ4Wmxj/5C2DTnpp4/7tqF32m6jSabXFq05C4+EnodaEDeL9yJUsbSxNez9TCuJUukjLG08Qd/Vdyb+Vkynz1PLPrG5usRReruze/FzdgoQJDAtDosF/QLExhokSvx6noBMs0jK0eW3i7TwhtvI+j+05gZGZ/LHM+NJ1imwL3CiekXoVI+QVSyYbAG3a9FAJw2NEEJd3WIvK/g22024kQhL6F0FJbrDPrJei4DyJbQB+GSPsdsu3WxOYv4WRDazkL67fG6R91h0d1MkpfjGz7e3Q83dHdDLo7TIrlezw4yOK9piE8UzsRS0puGXUCWda3vFK+C4nFufmlzHW3Uip1UjQnliHp58nhj+PPxJ2aj/Q9R1XTs/ypYgK7gxmMT4twTfFWCtQqLASNERf3V42nzfyq10jY6Iy+nD5gBisad/FlzYaEzxVAvjOdoelFnNZ/BgfkDQcgYIR5fve3cam3nlCEYEh6ISf0jfd+Xd9SzsbWith8Wj1q8XpLp8bPXNf+CgJNKISj7zGkhZAWqhBxIqKV4TQuK53FZYVbOSC9mhbDySPV46mP2J2uW9vbkJGNMTNtG4Fe7qeEtF8jnIeAkodQUm1l/gTSVAg5b9hRLf8/bHLWHaJ3q54kkvi/gCShSuJnxRXHzuCOFz8nGLHrT5y6hiVlnPaUS9W5Pv84KjzVPLrz827vluhYqIokGDXCFUDQaCLccCaarAXHNET6nQglla9rNyakURwCHixZGaefpClwaGYVAPdUTMPE+tH8lBBdCSRlmheRbacpJRCpURFb0yFiL8JynwtFV7nkYFurR1Hz+c56knVV95CpBTg5t4wMrStyEpEqpeFZqOY+hqbehKoWQ/ALiGwATIgsta9cG8kP1UcR2YSQ9YiMP8ZvSrkSGVpMV0TChUi9moYmb0LXW3f4jCBv7v2CKwp7Lr4/hhAOBc7M201B1lUMyBjP0LQirMa/Mmvohrg92zu+pCk8B4B9/mYWN+xgcFohzfrZXFi6D1+0vmpZm4tNvrlkq7WoQlIWSMfcj1WpU9H5xdDDmZxTwhFF4zmx7xQe3fE5W9oqY0TJpej8avjRHFE8Pu69PiNop/9+gFAJBDmO1ITX2yOBhBTmPwNVKFhSxqUoRS+JYoGgyJVFVaA57nULwTO1o3mmNlHB3KM5MEQxmtWKiBWwu7Cjnt3V1FWEPh6hDQJARraD2djLaOug8TAQDvBcA74H6YpgKZBy6T9/4Ukk8V+GJKFK4mfFoROH4nbqfLhkM05N4+xDJ3LN39+PI1SGZTGibwHtfi8uRe+WphFEEJybu4OX60cio4vMt3U7UMMKt/WvgeBn7OvYzjnbJsV0fbpjUvZQPBlTCEYewUWX2rhLsZibXpOwf2+QBlhNDnBaYAhEToTuJTdWrYNIpNsCbAoymrMocGcC8ErZQp7b9S1Bawi6MPmgaTCvj/iKFDVCq5HNFbuPpzH8ARLIdaaRoXsIRko4LrONM/NKo2RQgrEF2+TYQZTK9RipYddYATK0COn9g+2N5zgQMu6D0BeAhvCci3BMYER6U0JhdHdEpElD+J/9CdHoLKrvhCIcHFpQjNDtejXUQjA20bkAm1JQG+5SLA1aEebtW8uFJQeysaWc7t7uhrRoiwRoN7JiY+6tTquPO5u7x5/B2Mwuf9BxWQN4Ytql/HnzB3xZsxEhBAcXjGZO/siEq8h2ppLvSqfa3xJLyzmEas92NFoUtCL8Zv3rZDtSuHPs6czMs921Rmf2i+sQ7TRQdioaprSIWCZCiNj4FQSpmouxWf0pdGXGFNQF4FA1it1ZlPsaMaSJU9E4c8Asrhp6OFetep7tbfuQSKS0jbh7S9ciwaU6mLt2JCnKEO4euIFZGfWAnmhN4zrOluQALP/b4P0jvYuISsC0I1y+h7Dve+c91+xUsOM/1ootiST+V+j9ES6JJP6N+HptKZc88BaXP/g2y7aWM2vUQO67/DjuufgoRvUv4PFrTyEr1Y1DU3E5NP5yyTEUZKWR7UiJ71oDnMJiSloDvyzayFFZ5QgkQanxWcuAaDdTmAK1FGkFuiJI0XSJS9HY3FbJxes2ceTG2fy1ckqcWrs/GvXShJJgu9IJKUG2q1DqgYIwSlbiIiOcFooST0wyPF2pD5tM2UQnIlXazBQWhH8H+Rt5uOkGqoNB/GaYgBmm0t/E5rZKdvlNnqodxav1Pa0wTdsYWZ/Q++RrQ5CR7ciWa+wCdNkCoQ+h7Xq75kktQjjs9/ZLyeHucafjUnVUoeBWHeiiy0vRperMytJ7PU08nKBPsr0E42cG1C5xSpF2sy3GiRtwE5Qenu4RVXFFTaI9mjOhqFxip2UF4FYdzM0biUvpGp9L0blp1PFxZKoTuqJx5dDDSdNdaEJlYf1Wzlr8MK3heGKhCIUnpl7GiPRiHIpGkTuTJ6dfTq4rPeGYzWEfv1n3GhU+O5KT60zjsamX0sedjUvRGZPZjzcPuI7j+0whEpVbsKTtZZmpp3DDyOP4+rA7eGjyhdw86nguG3III9P7MC1nCDeNPJ6GkBdFCDShkqa7uXDQgaiKylPTLuNPE87ixpHHc2r/ab0GV6fnDCHd4aY5qtbeYencuncaNc57QPpIIOPBeciGI7B8L4H3D9jRzP2osschHP//yOp/4j1JJPHfiWSEKomfFF+tKeXOl7+I6Utt3vsxj1x9ItNGdC1yJUU5fPnXK/D6g6R5XKiKoCMQYnrOECZkDWR9y14sKwBYvD7iKwocAaakNeA3VWal1/L78mkoCQXsXYQoQ3dyzqAD+aByJdWBLv2nL1r6ckD6PuZk1GDh5Dv/SUzN7s+BBaPo78nl2V3fsLmtIu7IQgDpJqjgzBSISe0glZjdjEMoFI6opW1fPu1BJ6Yl0FW45Uw73SelTKidkRIC/k+g8XHKvIdhSoPDMquoCqWwPdBlUhu0ND5oGswFBT3qwsx6cM+GyFriCti1EoTQkaFFJEavLPuf/2WkYzLCeSAABxeO4cCCUQTNCIpQuHPj23xfvw1NKFwy+GAOLjahdSWWNHmrYQjft/UhWw9yddFm+jh99qH1cYjsl8DYblubWHV2HU7WkwilKzUmtP6Q9wUEF4AQtJnj8Zovx8bqUnSuGXYkAJOzSyhJLWBne21MoDM2f9jRn9MHzGBIeiEfVa1GFypXDD00VgvVGx7cNo+2SCAWIQpbBs/s/IpbRp8Yt1+hO5PnZvyCh7d/yle1G7l9/ZvUBntvKhBCsKGlnP4puQCMyezHBwfeFNseMMK8W7EsFu2KSpBy8eCDOGNAlx6YIhQuKDmQIWmF/G79G6xs2h1HKNvCfl7es5BfDj8KRSjMyR/JovptPLh9Xq/jagn78UYCcZ9lVdHZ4c+hSOnt4SGa1m3/G73rVekkfqYk8b6MKii5yNBCUPvH0odJJPF/BUlClcRPite+WRsjU2AbC7+5YD3TRvRna3kd1z/xEc0+H6kuJw9eeQIRw+SmZ+YRDBtkprp4+OoTaezXTGOgkgnq8/TRuyIIHtVkbkY1g11eZqXV0CkhZUrIdwSoCacAkgylgQv6ZvL0Tm/c2CKWoDyUxhzqUdJ+yzmF53IOIKUFwc+YPlby1j4PD+3xx5MqKRhRXEDzkHKaza5IlIrgkNx0JjrX4T5vC017MwgbGoV92/gyVMKCres4rf8MDsofxaKG7bH6LkVEmJW6Ayw/I527uSJ/H5NS63m2ZhQ7AlkxM2D7HL3EH6SFSLkQGXgv2mVnAg5E2h32dsWD/dXvZWGUIYhsReqTkMZO8N4PxiZcSgYi46/cO/HcWNpKCGGLhXrO4dGdm/igcSBBqaFgsbK9gDdHfEGOHgJtOEJooI9B5H+PlIb9dy8QSjZ4TgHgwx2fI5FowqbHx/edzIzcoUBUDmP65XxUtZqyjjo+rFwVVyguhCBkGVw59HCuHHp4r+fqiepAS1yK05BWXD2SNxLgz5s/YHNrBRYSbzhAWP54lCbD4dnvtq9rNyVIaphI2iOJdWmtYR+/Xf96gko92OnGff742qmVTbt63VdFUOzJZId3X9zrlpTkuIpBjouKv/bSVCAc9mck4fX0HjY/gBp9SLKiWlkSCK9BRjbZVkdpN6CkXJR4rCSS+C9FklAl8ZOit5pcRdgRqF88+xaBqQ2IFBOfIbjmjTcRTc6YCnqT18/NT73JR7dPRMvKRnIbtFwUTVF0QuXSwr0cnLEzdj7TstvwoyOgMuTB7HiCPp4RVPgaYsuZrkgGOW0vPRE1iJVSIlt/DeEFIEOcnuFE7TuQv1WNjpXaunWdX1wykVvWb427LlVR+aaxjYViNCAZnt3KRQXb+M2eAwi1rEYAn+xbw1PTLidNd7O8sZRMtYWbixdS7LSJ4vV91iEEuBSTU/LK+Ki5hIClIlFwKTqXDOgDPf3b9IEItQBy50PwQ6QVQLgO7zI/dp0AHc9EF7oehEA4kWY11M/CjjhEr9JqsNOEuR8Rpg+v7HyCPd7t7IsUcfmwM3m/KUIoSi4sFEKWwndtfTgttww85/f4DPz4z06lr4m3ypfGdd99VLWKy4ccGlMq1xWN0/rPQErJptZKdrfX2t1u2GldgWBZQyljMvuRpv94d9mUnBL2dtTHOuccQmNqtp2SlFJy7aoX2NVeu99uPF2oKFEiZ3d3agxLL2JWbnxattRbzZ83f0BDqJ1sZ2qvtV6zeomkVfga95t6dqk6U3IGx72W60jvVW8r3eHh2uFH/3/svXWYHFXa/v85VdU+bpm4EhcggrsHW1jcfXGXxRdn0cVZ3G2R4O4QSEgg7iEuk8lo97SVnN8fp6Y9wr4L39++b9/XlSsz1SWnTtf0uft57ud+2LqyL/fO+wAhlKB9p7ohjKzsDfJxZOsFkPw2f2TSBIJkC9a1wrYfWj2i6jFITkbabdB+Jar60yVk4buR/r0RereC91REEf9tKBKqIv5QnLzvOP76+PupKJXH0Jg4Zym7XPwQ2p7NEHAU6fJIzN4RvE2+1LHdKtp55rQ3EeFnkUKC1gtE0C3xdgANv1HO7pWtWevAE2uHszxRmvrdRuPl1cpD6cxJj2Pa7ZhSsH/lUvr42rl48Q6ssdezVfUELhrQD0/iKzpTHoIYh9Ys4t3W0cyPJJBIYjLJVTNeIWB46chwUe+MOJmu0eL8WCV3rRxNQiodkgRitskryyYyuKwbjpQcWfUZ/fT04hTQbaQrdezp6+CpgV/wwrohRI3d2b/H9uxY0xPZ9BU4a90jNESZquITeg2ETsur0xNaKbL8TkVGs2CAMQxiEyhcLSiQiZ+Y33gJx5TNxS4TaMDlCxpwZHXOnumfHL0bTy76jM/WzKLE4+eCQeMZWZmvY2qMt/PWisnE7CQ9gtV4Mtq1ABjCoCkRSRGq1BWE4IExp3DzrDeY3bqCLv5ybOlw9fRXXI2RxuPb/IU+JXUARK0Ed8x5hynNi6nxlnLl8EMYVNaNU/vvzjsrp6QKIixp0su+H6f5WVr8V7AosmEyZQiNo3pvz451g1kXb2d9op1qXylDy3swYeVP+HUvu3cZRoeV4IxJjxO11fy2JjvIlc8PKevO8Iqeedfo4i/HcvKvryEYWd6L15ZN5KWl3/HnnttwdJ8d6BasJJcQeYTOv3a6mDJPgLHVA7hy2MFErDi9QrVsUVLPd43zKfcEGG70d33FclB2IzgrIPIE6m9CQ1UF5puhIjwI4Ud6tgY5hWyBunodezUUCVUR/0tQJFRF/K5wHMnEOUtpao8ysl9Xdh7Rj7vOPJBXv5xGwrSYvnglf956CoN7reOm+JY4GSEs4XWwnHQK5qoDvqbMH1f6KAnYi8F/GNizwVoCRl9E+T3I+LsqAuOSoMnhLjkl9IKfOvpwfEkX3tn1cpa2fElp9HpKdIsj5u5Bm+XBIcGq+BT89i+c38XIWpeE8JAwm5GkUzlJx2JcdX9+bl6CJjRMx0oJjTuRcAxanQCZWhOJ5IfGBXyxdhZxx2T6+iDPDPIS0ExUSs7nWheoBauPv4Nr+qyCmmPQNFfkXTMBEt+BjIN3G0WkAOlEkOFbIfmz0qyU/y0dDUh8Qr6o2ALzFzYIIcBZTj/PPAIZ7Uyu7/UdV606i4XhNW77FQeP5rBr+VowBvPQgs95Y/mklPD+3ClP8sx2Z9OvpEvqHA3xNo79/n46rAS2dPBpRgFbAHj216+Y276a3qEaLh96EHX+cgAqvEHu2lpFwl5dOpEHF3yUImMCwY0z3+Cp7c4C4K/TXuLn5iUkHYt18Xb+MulxXt3pQn5avyjreXMQ3L6sFzuVfog3fgpS7lZwWgyhUeIJcHSf7an2xKGiGqGVMat1BcdPfJCkbeEguX32BA7ruU1WxMiUtmt3UEHYirNN9QCuHfFnIlac22dNYFrrMup8ZQyv6MnkpsVUekM0JSJ4NQNLOpy5xV70DFZzzfRXUvP76MJP0YWGR9PxCiMVOQSVxgxoHm6Z9RYfrf4FQ1MGpxcPOYA/f3uPeoul5OJe6ziw3EsWAdL7oAX/pKK2olq1qdEqIXQSNB9LnsFnchJO0/HuM6WRR7qkDXpRR1XE/x4UCVURvxscR3L+wxP4ZdEqkCptctPJ+7LHVluw/dA+fDh5HoeOeIYdtvgVj8fmthkjsaTGwdW/MiTYwtKaCtZYR/PtlJVoQtCzqh1Dz1xmTYi/CuX3oAXGI+31yOizYDdD4ABIzgRhEPJ2hXhak6ID9aFeSHMBPr07gyqHI/UxfNO4iqSjHLcBko7DBw0JzuuS6cakgShjrVlC7gIys3UF1484HJD0L63npplvMNPV2+DuHbftrHiEVxh02IlUNGtZwsvx8/fimS27UGJoCP94pTdpvdA1/hRK1L1uNE7pZWihkxDCB/49ssYipUS2nO727kuCvQzZdBjUfOIKwXUKY0PmkgEwBoKowhDZ913libNn/XB2qx/G12t+wHAW02bpnLloT3asG8f7a7KdypO2xZdrZ9NvQJpQ/WvZD3SY8ZSeKOFY1PnLaYy3peYqaif4bM1MLBxWdqznlLZV/GuniwkY3qzxLOtozIpsSSTLO9bTYSXwajqT1y/KIroSycTGBayLteZFoMK2F3AI6TEO7NqNDxsaiNsmPs2g3h9kh4oEpYbBQb32pSpyDNJaDjjIwJHcPrsiyxQ16Vi8smwiHi177jUheHOXS5na/CsvLfmeq6e/QkOsjWUdjZjSZl28jVltK1L7e4XBX7bYk+1qB9E7VMNV017Omt+4YzJh5U/cMPIIRYLdW9UQ9C2p44emhXyyZlrKZR3gxplvZOnHHllZye5l1YS0Vrf5n6DBezlLGxfQp6SW+uBhoFcrPVTH08px315NflXfJLIhAJ8aV/k9CL2aIor434IioSrid8O3M3/ll0WriCXSH/Z/e+4T9thKCYvrym2Gd1+ER1cf5Ff0mEpAs9iurIGAbpN0DLx932TGdrexsqmd0vLZwNdkR1YcaPsrjrEFtJwATpv7uk+5hzsRruu+kpOju5OUfgQQ0iVnlN+BbHbUYiEEyBgGdUgGZN1D2DYwy5/CG74c7FVg9EdU3M/Q8o+Z2rIka982M8pNs17HchxuGHk4f+61DTNal2XtY0lHRTQMPxXeEHvXj+SFpd9mLUNNVinNnpMoc1NUAKLuS5z1h4A1lxSRC9+D9AxHeLMdudW0NKfJFKC8geKq8s+3MwQOh+gzbNixVCAp4evWSmYnxtC9pC8H9jkRw56JLjx0pgRtCSuTFRzQYwylngC7dhnGsd8/kCISb62anafh0YTAo2V/9ESsRJ44O2xGs8inhFT1pI2kw0owu21FnnZoeEUv3nM9mzrRYSUY/+Vt3L7lMWhCZLmUx+0kt81+K28GDGxGhTrNKyVXDBzFiCo/01qW0dMf4/DQnfg1N+0VeSE9zwCxNxjhH8eCcG3WOR0khqYjkSQdG7/u4ZjeO/BT02Iu+/mFvIrFQkhKi/WJML3dykG/5snTYfl1DwPLuvLXYQdz2+wJWNKmV7CGe0efyCdrZmDmpA5z/cbaLMHbsas5tmsMZJQ31mrcN+MbPJqB6Vhc1Xsp+5T/QnZq2EAR9Y05vmtQ9RrC0weRZ6NRRBH/3SgSqiJ+N6xv78gyMgToiCc55PqnufGkfdlqQBestenYz/7Vy92GuOp3r2aBOYNRvdvYcsAwpPN3ZNPRYC/MvpAwIPqcMqlMka1Eqrqomy/Ga4M/ZlJsDzTvCLYz/kFI78heqYGtS9ZRZcQxTQ1T6viFxc6VFk8uW8Oq2ImMqerHIV3GIYTg9C32YMZPT+dFNCKuhuqKaS9RbgQK0hVLOvyp5zjOHrg3i8NreXzx51mvV3pD9AgW+OaeSaYA5ZI+A1xCJaUD5lRwIkijL3kpGCSqvB2EFkTioWAlFx7w7cODq4fxxuplxG0Lv7aaT5te4KGxp9DmPYnS5OPYUtBu+0iU3pcSfX+3bl7W4pxwTDREypBVQxDQfezXbUs1XqcZtDL2rB/O+6t+ThEKj9CJFahQy74bmUXMLMfmnZVTWB5dz4jK3kxtWpyKRNk4xOwkf532Esf22ZFXl/2QMsks9B5pSEaEWrm5z4+AD/QeCN9YDujh5YAeo3GaDgezU5hdiEDE2KUyyRuN+a/sUjeUXqEaGmKtjKnuz571Izjnp6cKkClJiW4Ss42slLWOUMacKDK4MLw26x46neAB9u++Nft125KEbaUieX1L6vBoBlZG9Exzxeud5g3H1c3nz8GvkZEATcaJ3LdoXlZE65alXdlp+E8Es4JtFspUdiOESvgRnkF5fnJFFPG/AUVCVcTvhhF9uyILrFbL1rVy1n1v8MZ1J1Dr3wo7OQ1dWMgMMpWC0FVkBRBaGbLqRWjckSwiICMQe42N9YcpNzrYu/R94GM29IHv1xyeHvgFTzcMZmWihJGhJt5u3Y4vW77DlDbfrZvHwvBarhh2MFtX9eOGkYfzwIKPCZsxEraZR67arMItWQTw8tLveWP5JKp9JXmjHlbeEyMnLSTNWeQTJA105TIupYVsOdVtR+Muvt7tIPkTSrviVeJf16VamnMobMzoB72eaOivvLry/pQVQdwxmdO2ksnrF3HtjBimfSAlukmTGaDU8znv7Doav+7Fqxl57Wr8updrhx/K5w2zKPcEObHfLtToa5CNJ7skGLYuv5XrR/yZBxd8TMI2XbF27rwpEbyNxKsZ9AhWM6y8BwCOdLhg6jPMbFlO3DHx6x7GVg9gZuvylAC8Ewd2H8PAsm5MblrMVw2zaTOzzTtrjBjvDPsaTZiq9N+/DyJ0OkJkpBad3KbPCraEN9f3Y060lj7loxhU6mF+OMOBX/dweK9tWRBeQ3uG51VuFA9gZLCJhwZ8DcBDa0bwSuNABAK/4eWA7up9fHThZyzpSPeA1BDsWDuIbVx7CTUmh/vmf8CXDbMJ6F4uGrw/e9eP5O1VaZNNQ9PxCB1L2hxSPY/T6ufiIQk2VNi3s2P5dnzeUpPaXxcOrbaPoJ7jqO7dHqyF4KwGrSt4RkLiKyVAlxai4v4imSrify2KhKqI3w0De9Ry7XF7ctMLn5Ew8xfvXxavZp/Rj6Ov3x+cNRm9xDqhKohk4htlXYABxiBUVZHpvt5JYjbRbA/cfdOkZ13ST7UngZ5x3VLD5PzuMwH4pq0XTcl4VkuRCSt/4sLB4/HpHvbsOpJuwSqmNP3KPxd9unlDcEeacEwSjknEUmTRK2yGh5SPT9TKL0GXHU/ln0h4waeMLom9Bea07Ka25grlRG7/CqICyv6OEF6cjpcgfDvZBM2ryEPp1QjfGOKJRF7POk0IlnQ0Yjk2UcdD1FHRLlPaLIk0MqS8O3vUj+DxRZ9jmzaWdPDrHvaqH8Gna2fi0XT+1HMsXfzlyMb9wcnoBdd2NTtVvcHQsadhOhbH//Agdk6EasvKPmxfO5BZrSvoW1LHyf12TRHP2W0rmdW6IpXmi9smU5t/zWsFkbQt/jL5MVqSHXTxl9M9WEVbW5oUCCRDgi1owiVMzmrQyhBadmUhgQMh8gjplJcG+Lh22dZMbKslLg18ba0MLu/ObVsezdsrpuDTDU7stwuPLvyU6S3LUsTv5+YlHNNnR2a1rkhFqXyaw0ld5uPR1EN1dtf5hPxb0ySHcEK/nd0KPpjTtjKrP6WDZF0i21/tzjnv8uHqaSQckxY6uGb6qxzTZ0d8mid1vaRj4QjJWztfQnXkOLSM6JVOgr3KF2cRqgo9SVdPDplCgH8viLUrwbl3NKLsBrBXIu01YC1Ext5EJqcqgpo7p0UU8V+OIqEq4nfF+HFD2GvrgWx/wQPYTjbjCPq9IDQlss72bAYRUp43sgk6Hkm/lFyZsV+hSJMftchtjN14mRct5bYVo3hkwDcE9cLmjMruIP88nVGFpxd/ydOLv0oZXBaCjsPY0nUENIvpHTU0W9m6EYmkTDd5YovPqfbEXf+iH3DWPgBaJaL8doRvh1QPvixoPRGuL5G0V2WTKQC5HGy3VF02QMvJODUfu2Qqs+LKAP/+iPKbUlGYap+X7oEqlkfXZ/TGE2xZ2TsvEmc5NmVuyq/cG+TFHc7nhSXfsj4Rps5fxqvLfkgt3F+vm8NT446kn5NNGi00bpl+K1+19VIRrpzp9AqDa0ccWjgVinIcz208bAiNY/vuyAtLvsVxHeltHJqSiiytibfSmuzAI/TUPQU1i4u6T8uYw5iqZgudkn1B/8EQeShjg8Y6duC79iqSqfmKE4kvoJt/T+4fezKgCNCM1uVZxO/9VT9z5hZ7ceuWR/HCkm8RCI6rfJnty9bwa6yMS5dsz5pkiCpPlNu33jprDvqXdGF264rU+D2aTv+M6kmALxtmZ6UTk47JgvbVeXYaEkmtvwyioZw/LUGvkl7K20sIdKFxSvcEDiLfWDZ8u2smKyH+MdJuQKt+ARl9EWLvoCpvvcj4J1AzITvqV0QR/+Uo9vIr4j+KcCzBC59N5fR7/sUFD09gzrIGPIbOmQdsh9+r+LvfY9CnSxXbDe0NeR/rAB7Q6lBpvU2FfTKPN8C/H5nfEywHYrZONpfTuHH59qxIlKLlRcXSGF3SiCHSKSyvZjCmqh9Bw0dTIswTi1UPvpidxJKqNrCz150AfMLmyYFfcEufH7m61xReG/IxY8uyyZtAsmPZKrp5I4R0i6BuoQtT3bvTgGw5G2ktRwSPQZHFTvhAK8dpPhUn8k8whqJ64KXv0bWmdn9Xkm6Sk8nXTXkQ3tFZi5sQgofGnkKdr9w9m2DP+uH0K+nC+K5bEdC96EKZi3YNVHLs9w+w9+c38+bySVT5Sjh/8H7cOOoIfmpanLWYx22TF5fNIPejx7QTrIh7idtqPiWSgOYhqPvwagaXDj1wg2QKYEh5dwyhpZ4GHY06fzmnDdiDZ7c7J6uqLxO6pnHrqKM4tf9uHN5rW14cGaWbL5NsChCVSGkio6/gtN+JjH+GSH5HdqWkRTIxGeG2ONqtfCUfDX+XJwZ8yID4ocjEj4DywNJziJ8uNGJ2kp3qhvDPbc7g9q2OZWxZgqSjcc7inVmdDCERNJkOF0x5Jqu/4F8G7EmPYDUB3UtQ99IjUM15g/bNOn9n/8NOGEJnYFk3PJqeerb9mof9um2FJjREycWknzWBg58bf63AQWJLh6Rj8V1LgriTWykqUFHPzrlOgjkVx1oDsddJta8hCc4aSP5Y8D0pooj/VhQjVEX8x/DghO94+pOfsnRTU+av4NnLj+bU/bZhYI9aNM1HiwAAgJtJREFUpi1eTZfKUv60/TA8ug7oSP94iH9A+mtxHOwlbLxaqBN+FeUC0CoQZVcg9S4QfRakyZVLt6PB9HNn3++o9sSxpI5VegtLEz/iSMnflo3l+l4/YaMR0EDXKkCuBxFElt1IwJhNxE3BlRoBbhl1FAAtyQ48wsDMGGPA8HH2Fnvz+dqZTG9ZxiE1i+njb8ef0Rj5zv5z2G/G1ph2EiEkfs3mtPo5GBv6aiMEJKcggodCxX3IjofBUWRLNZo11cIkvKS72HlA6w7O8rw5FFpQGS2a08jSUHnH5V36i4bZtJgqmuMgeXvlFNUXTzM4uMcYuvgrmN6ylMkuaYra8I95H9AlUJHqmWcVMMI0HaD879B2BQgDW1p80tqT2dE0YbIdhxtGHUnvklpqfGWUe4O8v2oqTy7+EkdKDu+1LUf3HgMdj4G1gJBnBI+OO4UbZk5gdayZQWXduGHE4ehCo8TjxxBaXiUbgOXEqNemscsWxwIgrRHIph9cN28JwgelFyGbTwBzNhBHRgPg3YbcLwOm1LFwqDFiXN/7J/xa571byNazkLXfMdD4Bp0Ywu02qaNR6y+jPlABwAerfua22RPYqmQUZ9X/RNwxsq6jCVgUXsOY6v489+vXPLrwUxwp6R2q5aIh4xlT1T9Pf3fBoPHcMPN1Eo6JIXTKXM+s/btvxT/mvU9jIswONYM4bcDu6hnxbQPVLyA73gLZysfrdVpyUvY/ttfRZPrxiChezQEC4B2HnZycRTMlEtF0DPl/ywJkoYKIIor470WRUBXxH8H3s5bw8pfT8kTosaTF2xNnc8nhu7DTiH7sNKJf/sEll7iEKhObQ6Y0qHoB4TQCQplaakFE6cU4nlGEOybyQziGJeHgOeMJahZChLh5y4HU+ubQEG/jq7YeTJ9bQz9/nEuHn0n/ipFIaYKM8fefrqMp7sNxl4iIFeeNFZM4uf9u9AhW5bUBiVoJJq1fyIzW5dhIuns7ssgUgJ9Gnh8yiy+bkmhCsnflCmo9BVyms25TRYmEfzeEfzdk4itXU9YZ+TEzUoI+8O2GqLgP2X4DxN9yU4Fe0LsjPduAfyXYK8FpAq0GUX4bttaT7xrm0G5GGVXZh96hGj5bOzOrF1wq7uBYvLtyKg+PO43Xl/+YHYFyTL5cO5uQ4eP1ZT/iFQZezUjpfHyah0N6jkML9MMxhoI5hTa7krtnfEUmwbNwuHn2W7y200WUe4N81TCHv89+J5Uq++fCz/DEnuWwqklAAhLf0tc7lWe3eyxP9FzjK6XWX86arF59Er+w2K18NQOcD3GiBlrwSNWwt+Z993mU4NtXaYCsuaTTpDHVlkWrYVJrBS+uG4BEY1myC4506O0PY0pBbnKXtr9SkviGfw4wuGHZOFYnS9iifAtuGHkUutBojLdz2+wJJByLH9srWBTdIS8KZDoOld4SfmhcwBOLvkgVDayINvHiku/YNqfNDcCeXUfQanbw2ZqZVHpDXDrkQCq8ISq8Ie4ZfSJJx+KB+R9y9Hf3Ue0r5bKhB9KvZATwLCS+YLeQw66DLa5Yuh2Tw/UAJKTOyQv24NT6hRzYtY7S4O7EPeNZu3oPunoT+DSHmK3TYIbo7W8oEIc2UtWpRRTxvwVFQlXEfwRzl68rKDwHsr7IJ0yL936cQ0s4xtZbdGfrLXogZCtSBFztRS501GNaqBWKBvEPEWWXZ22V5kwV/bA0kLur/RBEHQ9BXSDtFv7Rfwrnzu9BxPYSsQPs3eso+leMVMMVHpyWc1gc9WNlfN9OOCYvLf2exkSYswfuzQNjT+aiqc/S4lakSWBi44KUV9K0jhoOqFqa4SruAWx6GHM5vkshwihItyHRVNRJ74vU6kDGEMJN6RWItGTMMCS/VaSi7HqkZziYPymn9ODJyjk9PsElWT7Qu2Abozlr8hMsCK8BqerN/r7VsVR6QwV7wYHSkc1oXUaZJ8DaeGtquy404naS8356OkW0DDR6BWso8wQ4bcDujK7uh3Saoe08sH6lCoezeh3JfUuzn5+kY/H5mpkc2Wd73l05Jc+88t1GH4dVdT4XcRWpc1Zja11piLURMnyUe4NoQuORcadx1bSXWNi+mgojziFVc+kbCLNT2Rr1eHY8jQwcjGy7GhJfgAhAyZVoRg+kNY98dYTOJHkrly/9kETq7VA/rEkG8eSYnyItSHwKOPTxw9ODPgcRQpSPR/jLAEWKMtvtrLeCGG5/QAFoQmPfrlvSv7QLn62dkTUflrSzzD8z8fryH7l/3odY0sajGVw5/WUeGXda6gvB32b8i2/XzSPhmCyPrue0Sf/kzW22oTzxORDD7976zb0nsfesg1Pn7XA8PNs4mj8PvQLN8LKsbRUX/7oPB1XMopuvg6mROo6qXYTI6xdZhqj+F0KrKDjeIor4b0WRUBXxH0G3mjJ8Hp1YMvvD0+818HkM7n/rO0b278qj7/7A8nUtJE0br6Fz2RG78qft+1FYSwUqUiXB2BasSWRrqiw37ZUN2XImyHZKddiubA2Tw/UkpGqxUerxs5W4k4BnDu8Mm06T6afM0AjUHp19EnMyA/wjWZMIZJGqNjPK2yt+4sNVv9AjWMWI8p5MXr+YuBshslDNeT2aweetPRgUaOGYuoXoQkcYQ8CamXMPORB+KL0V4axAJicpzVPLCUi8UPU8wjNQpedEwLWTKEDM3DChEAIRPAw4TG122l0tS+dCnABrAVMaXmdBeE2Wq/cNM1/j4aE2RnIF5XqS6R1VLIxVpF43NJ0aXykXDzmAC6c8g+nY6JqgxFAEKzNqZeHQr6SOO7Y+Lj3E1svAWkRnVOroyjf55/IDiWe0fpFSYrskJWT4EEBPX5ihwWaaTT9Jmfvx5RBtuYXX17TzwtreRB2NI3pvxwWDx9PFX87jww2IvO3ef34KSrZdD/FP1LzIDmi/Gml0Bc9WOfsaYPTl5aWLMshUGquTJTy+Zhind52DofkwcKD0Gghfn79zhp6te7AK08n++3Gkg+N2WtqpdgCXDz0QgFpfWcrbqxNV3hIsx+b7xvm0mzFGVfamR7CKe+e9nzLytOwks1qXc8GUp/lTz3Hs3mUYXzbMzrBvUOnW2c2TGOe1MDL+LEt0k27+UiKWRcSKUx+o4I6tjkv5W1V5Q4QtjafXDU0dMzzYysBgB1rqPv0QOBph9C4wF0UU8d+NIqEq4j+CfcYM4uMp85kyfyWOdDAth5H9utIcjvLi5z+TMC08uvqqa9qut5Fpcde/vuaQHUdA5VPIlr+AbC5wdgfs6WAMB2s26XJ/A/TsD2YpkyqV5eLWPj/y5NqR/BLfkp6lgzhni30ItD4NOOgC6rxxwKf63XmGp08kyrm8588sju9GQ9JPQqa1LKa0MW2b+eE1/BpZl6fNEQj2rB/Bz82/8nV0f3YI7suA0moQpciGLUmLc3MhQZoIuRY8w6DjYVSFXhLoQLaei6h1W8dUv4lsvwmSs0GuzjlPDCkthMj585Zx8iIt0qYj2ZLnnN1uRujDm9zQCxwpkGjcvnIsX7SplO3gsm7s3mU4hqbz9HZn813jPHyawb7dtuTSn5/Pu7O8psLmTLI0XDLGwXWCt9d5UoabHk1n17phAJzYb1fs+Mdc1fMHHKkiNknpJ+3MLQCLgPUZR1RrjAvN59SFe/DGiklsVdWXnWq6QuQ+ChuZ+iF0JoRvJjsSGkcmvkIrHUOi/FlunfEwX7eW4tME5wzcD8GSAudS+FfTMKRvd87v1x28o9CMvjiJj1xfsIT7PnjBu23qmC7+ci4ZciB3z30XQ9OJWyaaEKm5m9y0mNd+fZWjelRzQNdhvLuqC4vDDSlDzgsG7peONKII6c1bHoXtZD+flnSY3LSYGa3LWRpZh4bIopcOkieXrWPrAXaKUEkEmtGLCbtemTp3bmq1S6CCY/rswCvLJqbkfE3e09E8r4I5S+3kHY0oPW+D81ZEEf/NEBsq9/7/E8aMGSOnTMmPRBTx/y9IKZm5ZC3hWIKhvbvw88KVXPfsx1mtZ7KgSfSREcr6CwKGl4sHj2dX/a9gLyI/iuNRi178LXBa3LRXEkWquiIq7kZ4RgDgNGybTcxEAFH5ZKpFi9MwFmRG2b4IIspvQ/j3Y0bLcn5cv4AtfL+ys/dBbCmY2N6Fa5duTUJuuCi2s/TerzkcUie5cMRFCL0+bz8n+ia0/w1FAjpTmdl+UKL0MsBBhu8mmwBoaPXzss4nY+8g264DMj2BdETdVIQWzN5XSmTTQWDNz9o+2xzPOXPLU9EOHRgeWs8/t/gqe+z4+Mh6mnJviO1rB+VpyDrxyerp3DzrzdT5fJqH27Y8mh3rBqfPtf5g1/k9DVtqPNd6Bl+1eKn0hDh/8H4MKK1Pjd1u2BIti4wGwBis3Nad5WQ+Mx22wVVLt2VyuJ7T+u/OaX37I5sOAZk5T4Y6PvQXtMA+OI27qfZCKXgRpRchQqdyy6w3+Wj1tFQ6zqd5OG3A7jyx6Is8h3OP0Di65xacVfUgopOgld+B8O+CbL9dRR317oiy6xFGz7z5Wx9vZ3WsldtnT2BRZG3Wa+NKG7l/wFTApqPkIY6bMpGmRARdaIpYSbLGU+0tocZfxqL2taloX/ZYVaRxTUbathOHVC/mou7TkQgcUUGw9iWlMdsEfmlewpLIOvqU1LJ1VT9lKeKsBQRoXYrGnpsJIcRUKeUfJjQrE1VyG7HHpnf8D+Az+fofem9/FIoRqiL+R/hq+mJueekzOuJJxg7syc2n7MfKxlYu/ee7rFjXQnJDuirAGBlB9EwQtiRhK8b1M17nwa2vZ4S4vEDUxQBzEditqMhGZyTBBnupaklT+wlC74aofES5hoMSaweOy+p3J8rvQLZeAELDkoIXG7dn2vK1IJ5hatOvmNLCoxmMKj2Qu4cPYqfyCvo3r2BReC1JJz/FpiE4pYdFQ8dytixZyz6Vq5FN30DNRwhXUJ7aN3go0uivWsRo1UhrKXQ8hYpaaSrl598PrDnkNzDWcNYOA6MvouJBhNFHCXuFzOASyvw0l0yBSgHK0LnQdiGZKa9hnk+5ePAj3DXvMyzHZmCJl1t7Ty5wnyb7dx+ZsleQyV+Q0ZfUDISOQ3hGIGWSPYMvsduIdzElvNsylrrqy9ihKog054PRF6ylOcRGQRcOJ1c+w8l970fodaCXZbxqohXQ0YngYeDfG7luOzIjXhLwazY+3UP3YDXo3QEfWcRTeBFVTyC0KvVr6XXqucBU86hVqZ6H4GqM0udPOCZNiTB3bX0cl0x9nqRMv6YLnW28LyDIIO1tlyHl1QjvOCi9aKP6oRp/GTX+MroFKlkcaUhp2HQcungiKa3hvxY9RFNiiyxjz1y0mzGe3+E8rvzlJWa5xRKZsKXD+nh7wWPfaurP+819qDAsjuh7ICdsBpkC2KqqL1tVpfcVQqQc/Yso4n8zioSqiH8b81es46onPyDukqYf5y3n4kfeZu7ydUQLRKUMTdCnvopwLEF7RwKnh4mtpT/gE47Jd00tjOh2BHQ8RFrrA2BA8sONjCaJbL8TUXkvwrsV1H7FT+sm8tzyxdj4OKbPXHaqGwKoajlqJkDyF66fu5Lvm5qJO9n9AZOOxYywwXstAxlT1Y8zBgziy7WzWRhZy6+RBkzbwkbi1zzsWT+ck6uvg+oMsuXEkPEvITA+z7xQeEeBd5T6RUqkXg/xj0GrRpScj9DrcEQN+HaAxNeqV6GMkSIM1kJk01FI367KbTxwFMQ/VVE5zyhExb0bnCWh+QsUAAgO7j6Mg3vuhCVtDGcVcv3r+QcbW2SQqZ+QzafSWfkm4x9C1XPI+PsQ/xBdWOgCDq/+BYwbkevnqvsQpeB0AIVbt4AFrWepMaJB1TMIz3CE8CL1PmAvJR3Rk+AZidDKXfH9bMB0NUeCebGujKnqxz7dRikD1KpnkC1nqB6PohRR+VCKTIF6LmTVSzSHP8QmQHX5cRiaInVlngDNyfSYDSEo9wTZpmYLnhy3P+dM+ReWFFhS44jatYwuaci5ryS034IUBuCF6jcQRo+CM2BLh7AZ4/zB+/JLy1JMaSGkhV9LckbX2an9ViW0jZIpXWgMq+hBja+Ux7f9C2tjrRz27T2pYzxCZ1RlH2a1LU+l4UF9QQCV+ktKnXbbz5aVm0emiiji/zKKhKqIfxuT56/I0meYls0vi1djaIVTQYahc9NJ+zKoZx2zW1dw/pSnCVtpEiJACVytWWSTKYDwpgeU+ARpLkR4tmBqSyOXzEg7dM9uXcFNo45kly5KMCuMfoRlV75ef2tBryQAy3H4cNU07pv3IYamIaXkH2NOolewhkcXfsrqWAvbVPfn6D7bwbrrcgcD7Vcg2/+K9O2LqLijoCu0Eo4fCcEjU9uklBC+CpLfA4ZrieAjHZWTijzFJwCO0uUEj0cruzTv/NKchWy7SpEIzxgovUpFwWRUHYtXace0KnCa0FvPU1WSogREZdrF3hiMqHwM6bQio69C9GWy3dbjyI5/ukLz7O1KiG8rbycZZeNmrS5BcAmfbDkLUfetmqvKx1Xk0V7hjj2ufq+4F1H5BLLtGjB/QYo6wvYAXh42n6A3jLB3VlE9zxBE3bdImQC8eamnhG1y/i8TmdseQdBBre8pHt/2DCq9JVw6aCcu+UWRJkM4lBkmf+6i3o8tnLt5Z9gslsdDVBgJ6rwO+aJ3qd4/mQBiyJbTkP7xiMD+CKN/aq+JjfO5ctrLWI5N0PBx86gjaEpEEPZSdtBvpczonFuNrco8fNqaFqZ7hM6A0noWRxqwHJt+oToGlHTlxpmvs1uX4ayMNmVNvURy2dADuXr6KyyLNGJKG0No1PrKqPCGmNe+Go+mc9GQ/RlZWRSRF1HEplAkVEX82ygN+tB1LevbrdfQCzZEBkiaNtc/9wknnTyMW2ZNyNOeSJR+BGMgJL6hsIB4IxBesBeDZwu+XvUmZ3edDAjeburLr/FyXljybYpQAdhSbrC2EEDTBPPDq0k6Vqqa64pfXuTj3a/mykGDwJwDugeEB+k/ULUoSZGJjB6DiS+Q4fsRBQhPQZg/Q+xDssXrhSIRnfMeg+izyNJLskiCtNcim49XFWsAiS/BaUZU/0tVtNkrwLMVouwahBA4LaeBtUBdSzaDDCBqPlV6H6EjnXbk+gNc0X8BXZxMKGJmL8vYKMgmFxt4OETIFd/bZGnKnAYcpx1NK0MYPZHV78O6HYEW9/V1yJbTETWfolXer7a130636MsqqpeYi0z+ADUfpDRtQviQTgfSaQWtDiGUk/hzS75hTtvKVGpvdayFO+e8w61bHsOYwESeHPg1E9trCWgW+1YupzQ+E0r3A3sNfs1iYDC3B6MGIphBXjPeN/tX6HgYGX1Seal5RrA+Eeav015KeX+1mVGumf4aH+z2V3z6aJyOVgjfrc6rd2P8gFuZ70zl9RWTEMDQ8u7cO/okQoaPdYl2Tpj4IG+tnIwtHT5bMxMhRFZqEuCbdXN5dNzp3DXnXea1r6JfSRcuG3og1b5STMfCEHpR81REEZuJIqEq4t/GPqMH8cJnU1nd1I5p2Xh0nUsP24WH3/0By7bzevc5UrJo9XrumPNuHpnqxLz21YiSM5Hx98Be/tsGJG3Q+yCT0zin5hkMoa5xUNUS/rJoV4TI/pZd7gmwZVUfprcsI+lYaAg8mo4hdEo8fnauG8K7q6ZmHdOajGJFXkSL/B3VlkSoBsVlt4DRCxLfgrVCua2nEIfEZ8ClSGkBm1ik7LXk+x4J0k2hO1t8ZNdm5SE5mWx2m1RkTatGq3oie+pkDKx52ecRAsypCKOX+j02QRUEFCJT+FV7HL0rsvlY9V4g3HSlRXbUKhMe8G6vSJ+Mu4Quh0iv20aZgFY+Cq0XkCJTKWiqikzfzR3ny6TJqKOIWvwTCJ2gtnS8COFb6WzHI/FA4GAWtQ/K0klZ0mZh2E3dyQgDAs0MCGQUO3T2TvRs7b6/ufNiqMpUz1A3opdb3emAjCHDdyGqnuXXSANGjtDfkjZr4230DtUQ9R3L48uqWBVdTp/SgZxWVcslQw/knEH7Yjk2JZ60legXa2cRTsZSQvR4gb83KSW224fxxlFHpLabjsXjiz5nZuty+pd04bQBexAyfHnHF1FEEdkoEqoifjPCsQRXPP4ek+etwOvR2W1UfwZ0r2HsoF4M71PPziP78/THk5m9tIG5yxvSESy/jWebDiJWIZNO0BH0CtUghB8ZOh3ac8vYNwQvIKDkHIRnME7zKXi19ALi02xOq5+PVnGe8mISfoRQKZ+7tz6eB+Z/xLSWZfQIVnHx4P2p06aD08TMaBfeXZl9pR6BIFrkVlKLpwQSHyGsYxAl50LJuTht10DstewD7aU46w9xK9t8yLLr0YKHFr4dzzDyUkaiDsquQdjLkHodtN/oRp46CZNUuqrAfojgCUozJIJpn9D0iVAGo7nwoUTwOcRMVKR/lh3kkwYNjEEQOgPh3xNpr4fS6yE5DayfFZmyc/VEGcd6t4XkJNKES3fHp5MV7bPmQvPJbrovBzKObL9RVUWWnFPgOhlRO3MehP+ecx8mxN7jqJowE9dXpkiVIXQGulWGwr8PMvpKxpj84NsdGXkc9F5g9ANrIdnzlwR7MaLqGaQMQ+wNChJfR6Wzu/jK8+wrbGlT5Q1hOTZn/PhPlnWsx5Q2k5qbmNW6kkfGnaZ69eX060s6VspgNhO+DONQj26wR/2I7KmUkkt/fp6fm5eQcCymNv3KJ2tmcFK/Xdir60gqvKEC81tEEUVAkVAV8W/g+mc/5ueFq3CkJJ60+OyXRSxd28K0xas5bb9tGNG3K5cdsRuOI7nkn+8wef4KhAbJHZuRwQ27fB9eu4zz6n/EaXwC/IeD0DPIgEbBxQg/BE9AhI5FdFYS5VSQaQJGlFdQqV+GXKe8g2TpJWihU/HrXi4bepDaJm1ky6lIcxoAw6XDyb0v5ImlS/BoOh7N4I4tD4bYKzlj0JVGqROBw/IJFTIjAhSD9r8hjf5KoJ4DYfRBlt8ObX8FLNUepuophDFAvQ5Izwjk+sMAN52HBdYvEJ6DtJYgym8A386g91RVdSSAAJScBvYqnNgbgI3wH4zwbIEQGrL0Sgjfoc6FB4wh4NspPTDfLhB5hDSp8IF/P7SKO9QdJn5Etp4JUkOJzvPYXA58bpovM3plg2cU6P0h/nrG8Zbb37FQZM8Bx7U7aLsCfLtC8ut0BAkb6bQpcmfNVb0f84YVZ6T3C/41JMTL6/oxoXkgdT4flw7orzyXvKOh4h5k+HZ1Xu9uEP8IKaNqzPjAfxDE3yMrPatVIeOfQHIq6N1AHw7JrzLuOQCBA5DmHHomb+eNYcuZ0FjNK43DMSVcMHg/Sj0BZreuYHWsJeVJVWW0EU+0sjq6lu6h/Aq6HWoH8dCCj7O26UJj+9pBrIw2UWoEOH/wflT7Snll6feEzTjb1Q6k1l/G1OYlKeG6KW0aE+38Y94HPL74C17c/jxq/WV51yuiiCKKhKqIfwNT5q8gmSEmNy2buSvWwQr4af4KnrzkCIb06oKmCe458yB+WbSKxW0NPND8DrGwRDZ5wSMRXZKpvsbjK5dydtfp6J2piY4HlO9U4j3lMySq3QU1J0Ki1yJKzkJoGd+cA4eDOZd0isVPpRYGayWpyE/4fqQxDOFLGyuS+Ew1Dc4gZCdWPMohu31JS7KDboFKvJqOTJS7BMpdlaUNnmHK5yl8O0SfKzBrkuyok61c3gsQKgAtMB7p3wdkB5IQJD5Gxj8Dz2CEb1fQulA4jZaA2Ks4ejdlq1D1KiL2CtJerUr2jX7IpoNdsiGRHc9D1XMI7yi00HFIzyBI/gJ6Hfj3zzIHFZ6hyPKboP0mpZfybosov0ndnZTI1vNyyOwmPO7K74HYiwVe0BHeUcj4u9n3qFWCk1ni3xlty0wRuu7xoYtUpagMAxZ0PI40Z0DoDDYk8hOY1HlaOa/7dI6qXUi1F4yO15DmtlDxMMK/J8K/JwBO+82ucL7zPY2pCJXeFez16t6FgMCfoe3y9H3YTeDdAawZgAOBo8G7O7L5TyCj1OhwSn0Te3Xpg1NyOf1Lu6jrZUQir+o5lb0rl2NLDX/kJ6TvFYTRG2mvUvo2vR/9SurQEBnHKdH6TrWDOaDHaAAiZpxjvr+f5mQE07F5bsk3XDh4fEHKakqbcDLGk4u/4K/D/lRw/ooo4v86ioSqiN+MspCfSLywYDyetPjX1zO47vi9AFXFtvUWPeiVKOfuNzTsieWkFtpSG33HVoQOf6pempWmgxiYP6HVvA+AdMKKCNgZgujAEYjSS7PJFCAChyJlHKJPA0Itou03kk1okmBOh0xCZa9ztT8ZkO2Ue4LZqY6qZ5HNp4OzWpmCVtyL0LsiY+9C9BXy03VBt1IvxwZCq0Gac5DR50BaiOCRCO/Y9GFCR1IKrRcgE1/T6VUlPWOg/L6C86/gQOQ+1a7GvweU34Xmarac1ktyKu1iyMg9iKpn1TW9YyFjDFlTYa91yVREXSM5CRJfgX8fpGwHWdjPaIPoeARKzobkFLKiXsZApNOiUmnOSlKRrvJ71fwm3lO/a31AK3GrCLMGivDviIzcSzqqGYfkJETZlcjAIW76LenOQ3YkTcOmi9etKpVA4keIv6cIbuIbFVWzG8h7n50WKL0U7KXKjsG7IzJyP9nENwb2UrS679PDjTyuHP5T10/QW3wM0e9xog4EjmRwqYoMDfJMZ8+KFW7TbQdkC7L1IqR3G4i+AMIDaIiqZzi4x5Yko+9RokeZEalltdUty1z1vVVTaU5GUtGohGPy1OIvGVBaz4L2NXnu9jYO6xObUW1bRBH/R1EkVEX8Zlx73F5c9MjbSClJWnbeF/5OI8JlHetpS0bpV1pHja8UY1oVSdsilbYJCzyrSvD2TSKFnzyItDnla8tn8vTi7dixbAlDS6vYr8+5BPzpxUH1qXtHRV58u6CFjoXQsanXnchDigCl4IVcJ3PvlmSnlDQwhuQJyIXRH1H3BVIm1L0nv8GJPA7xL8gTHosQouwmpAhC64XuNqU7knpfaDo6dYyMfwKVDyN8O6aPt+Yq0pJalB0wJ8P6HUm3XSkES/2Lfwqh+eAZrOwYOqMnmXBciwJ7LViLlfO80c8V0FsI972R0ZddHVWapMjwXUhrOUT+kX/eTcGagzAGQsWdyMhjiszKdoi/6RJQAwLHIrxDwDsa2fGsK/6WgAeEBf79IZJDqJLfIO1T8lN7QgeZQJRdo6oy7TUqSpj4xiVuG0IcaS2C9Q8p0q1mg2wrC0NZTLRfB9JCBo9FC/Zy/bRyUp+dTa4zx5UXF0qScvuPPoeulfLENmfyy4qLCWg5xQjWIvW+pWwZQDafxeVd67GS80CaSDRioWuzvhiEzXieZitqJ3hw7Kn8Y94HfNMwhzYzmopy+XUPu7hebkUUUUQ+ioSqiN+MbQb34qUrj+Wn+SuYv6KR9yfPIWGqD2a/1+DPO45IteowNB0NjUfGnYpM5hATR7BrxQj233IgQ0v3h9ZTWRY3CNte+vqTlJScBcAPjQt4aMHHxB3JO019+KjF4JfENG4ctBSs5Ui9B4RvdyvQbIg8AJX/RPi2S1+r4k5ky2koLZYEY6RajDPH4xmBLLse2q9X5zH6Q8XDSHMOOOuR+hYILQCiXFkhdDwJ5hwkCQoTGwFGf0TgALWk1rylPKO0SvDtgWy7nGwCFkdG7s8mVE5uKX4n7Ixr6qD1VNdzVpCl4REecFpVhK/5FLcXYiYCEDgYJ/YptF2i9pdJpDEcrOmARHrHQdmtYDfm36fTruY7K/om1Jg8o5SRp97DrbzLnSMPEEf491Gi79g7yPZrM7RPFsRfQ5RPRUoTos9nnMNU6S0zh0x1Hpf41q0u7IRyPpeJSdB0GColF3CJ26ZsAfyqctNelXGfwp3zKDiq16Ly2nLNP6MvIgMHIUInq4rVVFRQBxnDab9VtbURAZcUPuxGRx3y9YIxiL9PeckZ7NLtAGT7DxlzJECrAKc1e8iyAWGG8YiEe3sO3vgdUK6agP/QuIAF4dVoQmC734h8msGOtYMJGT6uHn4IVww9iL/PeZsPV09DQ3Bsn504oPvoTcxVEUX830WRUBXxb6FPfRV96pXL9JhBPXj92xn4DIPT99+GllAbnyyaQcKxUhVFf/3lJUb168uUBSux3Ko/n8fgTyNHMa62F1JKbmo4n08bfsUQYAgf9wRLeXnZS3zfuCCr7DvpmOzmfwrZuo60fsZNgQBgIdtvhMpHkS1nK+2V1gXK70XIOGjlSv8jVGsXKVUqTQgfWvDPyMAh7jYPhK9Dxj5ELYZxJLoiVLKDjVcg+kF4EGW3pbYIo78iaS4y0zzpjTkaMc/Q/H1yIfyIssvAtyuycbdsfReAZwiy/W9uhWEmyQiB0UdF9qzZKELgRsKsDLuI5CRYvzuKAGVGW/yqws/MtpYAgaibhNBKU1uc0F9g/T6kW7/ooHcBvU/6MKcVchpNIztwHAchnOx7wv21gFkqANGnyCJ5xhZQch60XpzeLjczfRXo1JxlvjcShESrnaj8vhr3JoswCgPsNQj/7lD9lkrrRt8GosorLboSac6CqhcRehfayl6CjocJaVF0J6IqJDNJlVbO1w1zuGPOTC7oWsfOZavwaD6E5oeSi5Ft19Ns+fBrNiHdAlHmCv4zhxxDSod3V/3Mna51iYZAIAgaXnaqHcxVww9JT5mmc/XwQ7l6+AaqUYsooogsFAlVEf9j7Dt2MPuOTaffXlzybV4qYU28lSdPGc/Jd77C8nWtAIR8XnrUVgDw1bo5fL5uJQmnk6YkOPunJ3CkzNNyDPC3sW3pSgqbXbqw1yKbjwNnHSBVFVjbpVD7uTKRtObjoEP4XlURBsjAnxBlNyM7noHIPe75Oz2fUicmq/HyBuGo9J1nC3Vuc45y8nYawTsOUXYDIngUMvENWRobZx1OYrIStlsLVPPe8ruh7byccWRAdiAjTyF8OyKqXkS2ngvWr27T6PtUaxZzGnn+TgLX92kDzasz7wUyjjcAv4qMCL/7e8Y5tFqEVoq0G1UaTO+NZnRB1n6gXNvNRSoSpndXVgTBY5TNg3ccBaNFbWdDxcPg3QmSP6KeENfjquRcSHxCyrwUUKnQ3HtylOXEBlOknROSm7YMIrxjVYQs/gnpiKIXvNu491tDUnrwivT7KKWFMAYi7QaVhvPtDbG3MjR6CeWdZa/i5ZXLeGjBxxiiEk1U8fDWezFQnJsuHMDLUnES10x/lYRjcs3SMfTzD2Onmm6cPew8mpMW5yycwsqYiSMFR9Qt47zBxyHar0yNx5IaK81uaB3reXjBJykfOAeJR+ic1n8Pju2bERktoogifjOKhKqI34zJ85Zz/1vf0pEw2X+bIZyyzzg0Lb0Q9g3V4eREGnyaQXN7B+ta0v3QWiIxznvwLd64/kSWd6x39VVpJAr0KTOERo3XwaN52SihIgaORY6IBpn4DsJ3Ka2OjLuvu2ONfYCUAuLvk16Qf6MuKIUktN8GNROQdoNrduku+vGPkc56tKpnXXuES0hFN5xGaDmBlMO4vRKs+VDzEYTvBHu1EmvnGklas5Dtt6GV34ioeTd/OHovN2XV+b543AjGpshUIVio+Y1Acp1r3hlwtUAOouIenI7nlAWD8KprVjyM8G0PFQ8i1++viFZyFSR/RlqLEeXXIzyDlTVB6zmk592BxA/IjodVpEgrV8UEej2i7G8IoydO7VfQeomKwGk9Qa9RJCsLArR6d6yF7lmA1tUl4FbWZiltFfHx7QaJj9RG71hE6TUATG9dyQOLtufOvl/i1xQJ/6jjz/wp+DJEnwXhwZEatjTxZPFFyTKX4CQdi6R73XN+/pSbRjzIt2u/5P11HZgSegSmYTrpdOOv8SBr1kQ5Z3iAv814iuUxsKSKuL65fiAj23uzW8U9xJovwxBRZnVUcuWSrUnySN4TbUuHhP0buxIUUUQReSgSqiJ+E+Ysa+DCR94mnlQf/k99NJmkZXP2gdvz+rczeOy9H0hYNla3IGJoB516btOx+ebXRVkCb0dKljW0kDAt+pXU4dUNYu4He6FYgVczOLD7aI7pPQK94/CMHQrt7ZCXkpMWdDzjLpqFIhUxiL/Nv0cyCsBeq/5P/piTykpCchJSJpTnlPDnRFgy97XAaUDIBKLyofQezaenImsKCeWMvgGIshuRzUe4omUJWo0ib3nkIle/Y1CYuHbOXxLwQOnFCL0beEaoewnfpV5z006y9Ryom+RWybVlnDMGsVeQZVcriwbfHuS/n3HlfyV8gIOofFo1wO68NxFACq/S0DktILYiWzAOaF2Rvr3B8zqYv4AUpKv8NNCqEFVPqobWkQfUNfGB1g3Cf0vPi293VTWppQsmvlk3l5kdpYyfdSCVRpw228dOFev4U9l36TmQgBQkpYZXc3DwonlGsDAq0HPc0cNWnCumf5j1hWJlrDlvXoK6SnfObV+FlfF8xR2TWW0r2L1+Pw6YcwgRKx05M4TF4LJuLAyvTUWpvJrBTl2KYvMiivifokioivhN+HjKvBSZAmWT8Pb3sxjSs457Xv86/dqSAEJ30AerFIkhNELB/MfN69Hx6JIdawdzQPeteXvlFAyh49cNtqsZxOdrZxJ3TEp0wdblGhcP2h6PUYv0PYdsvVBVaundVeRmg5omHWW8uLubMtpY2mczyZR3D9egcUPn8ihRNqjWJnljEyihdHmOeLoApOOWw2fA6A/JiRnjVf3dUofIBDJ8lyJZeg9E2dWqL5/5C+BFGkOh+RA1f7jNl/U+YC/NH6uoIbuVTj6E0R/h20FdO/65GwnKvAfb7QFoFwj6paOEQgikMdBNRToZr5sp8idbz1e9+VyNlow8CInvSJE0c6bSdlmz0udI/gjR5xCVT0LyB0W8PFsqHZcMI50EJD5FCC+y/BawliD0OmV7kOmtlZiISH4H/r1Tm0qNAIbQsaRNi+WnuzfClqEmMi04NKGSd2839aGfv521Vi/2G/QUPdub8qK5kB+dtaWDhsCnGSQdG69mcMmQAwDo4i+n3UwXN/g0D90DVXnnBPXU7dplGCMqevFlwyxKjACXDDmALUrzzUGLKKKI34YioSpis5A0Lb6duYRlDS158YOEafH8Z1OziBa2QK7yg0uobCT7jxjBdwNXMnXhSmUEKZNcc+BHsO5hZOBQLh1yIyf03Zl2K0avYA1ezWCbmgGsbvuOoyuexKtJxPrXcUouQCs5HVH7aepyMvkTsv0Gt/1HzortGYMIHQ++vVSz4M5qwBQ25MLuVqvlRWj8qm+f6c2otuo8j1D/GwMRFbe7c7E8f0x6LyWK17sjA3+G+FtuNMfrNgqOkIqSeEYitT5Z6iJRchYy8akyPVU3iSi7Xrm9dzwBHU+4omsHrPnIpp8RNR8jfDshnWZoPsq1ALBBVELgUCVQD9+WM1QJlU+q/elMkWqkdUqGquTzbKWsK5xWpKjIj3wJDbRq8O3gVhJ2zrkPfDsjMsTlouJhZMuJboQvN20LOA3Iddu77XsOcyNzmV5PcdV8OLdSLvExouRUNYbMO7TboOkwpGs5gPAhqt9UZpnt12dfGwtpLYbkz8rB3ujFIT3H8tqyiWiyhfv7f0G9J4pXJw8NySB3rFRVcj0CVYwf7GdweXeO67sTzy/5Bo+m02ElU7YjuegRrOaI3tvRbkbZtmYgwyt6AvC3kYdz+o//JG6bSCRBw8ve9SMBOLL3dry49DvitolA4NUN9uk6ki6BCi4asn/B6xRRRBH/HoqEqohNIp60OOnOl1m+rhXbdvI+7tujCaYtXp1/oCfTLFHw9bo5/OOsg7n3m09Zs/ZNTho8g6H1buQj9h5S70OXktPpQkXquH27bYljnANOR3pdjTyAY/RXEQq9H0KvRnjHImrew2k+yV1gXRIkAojQcYjOiELFHcimoxTZcBsVb7hxr6RwuivuuqE7qD6ClkpHBU9UbuyJ98GaqyoNy+9QGqi8WUufV5RdD76dkOYCMPoqrU70KUhMBHOGqqJbNxYndALCMxx8OyG0cqh5D9nxNCQmgdEbEMj26yCW4zCOo4hO4ntEYD9k23VgLUmPQcZA74bwjkZmRUs00Oqg9RRU1MpQ7WeCJ0D8A+Uqr/dRvk7R5yFyP4qoOqSIJQEQElHxgCJNogpZ+Ri0nErKady3uxqGOVdFsYzBUP0JtJyorpErpgc1nvZrccL3oYhdpieXoQTzdpQ0qRKgqaiNdDrUc+Gm2mT4LrL8taSFDN+DqLwPjAHK5ymTnEUeQYonlL1E8EQqyi7l5R0voG3dyXTTo+iicxzu+QEp4dmGQQD4NQ+71Q9XzYmlwxlb7Mn+3bemMdHOR6un8f6qnwvqBw/rtS1H9E5bgdjSYX77atbF2nCkTPlFRcw41818jXtHn8gZA/akylvC52tnUeENcdbAvekSqCgwn0UUUcT/FEVCVcQm8fbEWSxd25LVbmZjEDhIHfRhaQF6wjFZE2thbbyVCcnveHjsLwwNtWQcFYPkd8DpWeeSMuamijJhQ+u5yjRRWsiKe9H8alGm7A5oOhCke25ja1Vh1Tk2vRvUfgrWImTkYUh8yQar5zaKDA2R1kNVmzlrMownJcQ/R+oPK4LA56RJjqHK+DvHJASOtUS1SsEC7/ZQdpuKMqWqysLQ8RCSoCJP1a8qwhV5VJ3XnKSc2jtbrxQab/wzCOwH5hyyiWIczOmI0PEZPQRN5R9lN6trg5qn5ERE+c1ZLXtkcqryUcq1FcALgYMQpRcBDjLxoxKMh28ly2uq/QacxGfqfoShxlp6peuAvjGxtA2ygXRlYEBFwkSZclVvOQVSUScPBI/DadzbbbBsIMtuRgse7D5fmc+Ao3zH7CYInAgd/3Bb3tgokhRP20tEn0f696DCuxVl3gbIqm5105ioLjQX9pjJzx29MEUFvzQtYZfP/kbCtuhfUse9o09ky8o+DC7rzqpoM5ObFuVR8E/WTGdO2wrWxtsYU9WPiY3zWdLRiO04mBlpY1Pa/NC4AMuxMTSdw3tvx+EZRKyIIor4faBtepci/q+jsa2jIJnKMRAHlFbk6G1nM2jvpRjV6cXQp2kMLu/Oso5GPCJJgxnEctInkDkaoDT8KqWUBROw3JRWDFovSqdr4q9np+HMn12SkzluH8IzzK1624R+KRP6EAp+B3FWQ+ROiOdYIBCH5PeI0MlKr0NApfP0roiyG1N7pYXQSRRpmQztf6VwhWFUWSJEX0WG7864nqNe2xg5dBrU/0ZfVESnE/4UwdMC4xFdpiO6/IyofARE7vl0MBdmb7LmbWCsCUVerIXIxt2Rrecg1x+iom5ZpM9SYnVibuQwCu135HtSbRBS3YNvN/AdrMbYfKSKOokgGAOVJUPLqa5GzKYzwiXN+eDfC8hwLxcB8AxHrt8LIrepakbPllD7FQUJnrXEnZrcec2GITwMDjSxNt7KrPYVqRTdr5F1XDhVtf7x6x4eGHsK46q3yDt+bvsqPl0zg2ktS3n616+Y176amJ0kKa282deElid2L6KIIn5fFP/iitgkxgzskeoFl4UCa6ih65y1xzTu2fIbuno78AkLQzgc3Ws4O9QOonuwCtORPLB6JBHHQ9Q2iNo64EeUXIR0IkhzrtL5oKI3ovIhtTCKUpS5ZO6iJcHpTB3mprtiyLarcVqvSJ0zBc8QVMpuc+AD304UdtV2VMRC+MgmXEojBUIJ1PUeYIyAyicQel169MmJZDumJ1UUqZDxJwAJpL2GfKG7dI0yC7TxwQCjn/oxcKC7zRXG670h9j5Ow7Y4zX8B2aocvLXqfC2UNFXj5EzoPaHg4u0BvTey5VxFkmTYHXPug1NoTsMb2E4Bgg2QVMQ5/rLbRqaz112rEqcnvix4XWlOQwRPhuAxikiJIASOh8TnKiUpI6i+kjMg9kmBcyTAM0CZdJquOSqgnqvs8dvSpNHMJ1wOkiWRdameegBH9N4Wv5YuRPAIjVO7zOTTEW/x5BafU+cJk598V/DrHk7uv2tey6Qiiiji90WRUBWxSWw7pDe7juqftc1jaGw3rA9+b3bEJlSlc9WysZTqJk8N/JwXB3/KK1vXcfyAPxG3k/QK1XBGt+U0mz5Onr87d63ckiXxSkTJhcjIP5HrxiCb/oxctzNOxwtKV6T3QtR+AaGzSfkzZULooNWqn7Wy/BuQrRB/F9l0mGqa3HlY6ZVKiJ0ZnUjBB/oAFHlz01CxF93XNhCFCB6u2sqIkPqnVSJKr1AtZqLPgr1Q9eFrOgqZ2SpE64IiihnQayB0lhpH3p9pQDUxDvyZ7L5wfii7AUr+AsZw99jOqFg9ovQipDkT2q5T99MpMLd/BXseyGbVB6/5JNX3D101V+408sSv2rc0HYrTuKdK9YEy3PTv5+4j0mPR61XzY5lxr+oA9379bgSpf/496j2h9AqySYkGxkhExYPgP4L0+6b8r9I2CJuLGLRfj2y/GlF6KVqX6WhdpqGVXZrRs68TCfXe4cvZLpF6P2TzyUBmmyAB3vEZ4zeYGe3OtI6agiPx6gYekX6udqobwtXDD6VvqI7ewSrO7TaTE+vmEtQtBgdaeHjA1+gZ0UgDjf4lXTi4xxiuG3EYpw/Y4zfMQxFFFPGfQFFDVcRm4Y7TD+CGFz7hw0nzEAKG9a7n9lPHM2vpWi54aAKm206mvV8jP7RXc9Cc8fTyRWhMBrC1GG3mzQDs120rrt7iXHYru5g1ySC9/VFqAt1UOir2vHs1d6EI34gkANgQOEo5TeelXPyIikdSVWKi9HLVsy63STEWOC3IxBTwba8iJqIUUT0BaS6E5iPIjvhoiPJbkFoNrB+vXkvpVDwq0mTNdY/xKGJgzoWSi0AE1TLq21E5icc/TN8TjtL1JL6DgCp7J3AkRB4kS4MUPENFSTqvl2mPUHIGwr8HyN0UfYi9odKcohSizyBKL0WUnIN0Iqp3oBDg3QYhAjgdT+fcZ+582kpQn/gR2i8DJ0yqClKrA8etvLM7kC2nKvsCvRui/DZk8ASkvQrMXxXJDRyEptfiaPVKX5aCDuW3IGRECcV9uytxfeQfKEF5UKXYOp4CUQuySc2B3gVKLgCjF6L8JqR3tLJAkDHXNqGD3w4HYu8j9Z6IkrPTmz2D3T6BLnkXPpUqTX6bw9k0iH2c1mplbk9+SnpnjbLAcLYrbebo2tkYmsO/GgfwfbgPAsHVww7Jiyjt020U+3QbhUz8iNPyUoqa6RpU6EmGlwjmRg00BD1D1Twy7nTKPIW+HBRRRBF/BISU/64T9B+HMWPGyClTpvy/Hsb/Sbz7wxxe+HwqQghOH78N4wb3wrRsLMvG5/Xwr6+n8+h7P+C4z5G2UwtaVbYuSSBSpeB+zcPZA/fmyB7dlVZIK1MLasNY8klQJgIFXvdB6eVooeOztkpzPjL2pooKFdQUudEQrQ5R+STCswUy/qXytRK6KzjW1SLq3RGS35Bqegsq4lP5AphT1D2YC1x9UlyNM3AAWvktaizSRDaMJLvPWxBRdjPCJVQy9raqvEvdn+vqLVtzbBn8UHE3mn+vrLtx2u+E6Avu8UKdv+Z9JcDPgRN51K3G24R2TOvpkqCN7CdCqoVO4CD3XiWy/UqIfeCKy3VE1XOqsKDlTJTJpQUl56OVnJE6jTQXgNOI1HooH6rwvS6Z7IwmBqD8Fmi/mRSxDRyiri0ETvxzaD2f/5Ehq2drtOpXVATTaVOtZlpOdq0bbAiepLRU8bfc63RWeNpqfERyTphZdehCq8KyIxhCkVhLevnFPoOq8sM36gMlzTnI5qOzngVbGlDzBU2WH9Ox6R6sRCtqpv5XQQgxVUo55o+6XpmoktuIPyay+Zl8/Q+9tz8KxQhVERvEB5PmcvOLn6aiT5c/9h6XHrEr7/4wh1/XNCGlZHifrvg8OjHXg0qu8EG5DboiUMqzKk3a447JZ2tnETbj1Pr7Mr77VniFsRmJGhNEBcplu3NvkeWY3QnhGYTwXIlj/aoa++bZIrgky1mr/I5qv0X4d4Paj5CR591IWcKNJH1OPikTCKMPwjsM6d0W2XRExjViEHsbWXIeQq9HCA8ycCjE3lOvYYAoUfYDLqS1lGyy2KkJy71uHFovwSm7BS14YHpz7OWM46XSXsU/gtApWUdLa4XbfiXomlVaqDSdTR4ZyXIz3xBktp4p8Zm6LvHUWySbj3evJZSGrPJRNKOvek1K1bQ59pZrXGojK/4JiY9zru1A+Ha3ctM9cfwd8O2MY85Q7veplKGm0qAyCKxP778paPU4Ha9A+CZ1Dq0MKp9WfRDxKJG7vZqURYNW73qA2WSTKTftaQx0jUUzSJWMp8gUgCGSjPV/Dp6hOI1/UU289S6IinsQnpFIJ4oM36qijARJpTWFHz14OJqnnvqcTHERRRTx/w7FrzRFbBDPfjolRaZALU13vf4Vi2KrSVo2pu0wZ/laulSWEvR5CPg8eFaVsEfJKKq8JVR7S+gdqkVDMCjQwi7lq6jUk8xuW8ETiz/nnrnvccaPj2E5tjKW3Ci/9yprAq0OpWPxQOkVypdpAxCVD0HoJGVrsCGBsxNOCdqF3hWcZWSnxBJK4yRCagyiDCoeRUYexlm3K7LlTPIWbWFkRbRE2Y1q7N7tIHAwovqtlMs3oHrYZem4NEU+RCHBfBw6Ht7gPbtnzLtfJ/au6qEXvlERRWMk+A9R5C4PPjC2yhmTFzyj3W1C/a7VINHT3lXW0nwhvWxHkSNTVfy135J+LfkjxCeoe+qs7ms9j/znQLjkJWOeZRyZ/NElU3HS75mOqP0Wrf578B/GZn/EiWpl54CpzuU0QssZCL0LwprtPiOdpNPeAOENQODPiKpnEZUPuHPbqYvyg94v/7rWPGg9R2nYSIC9XGnYnGZk69kQe1sRLdminqvgaaz23sTT67bnyUVfsDKaaylSRBFF/L9CMUJVxAaRMPOtEqQjcca2IKaVIdf4SJg2I/rWU1UW4sXPf8Zr6Hz1RgOnjt+Dcdt0pTHeRnPTNYyvWoDpaOw/+wBsdwGOOyZLOtbx3cqn2dn7L/cKArT+YPTI6FWnQ2AfRPB4CB6r0kNIFciJPA3RpwEJoZMQwVPAWqAcrp1G8G4LodPdyEOhiItUJpCd0KrIc07XuyKqPlVRG1GBDN8B0cyoUO4pE8jIE1B2LUILIYSOKDmdXI8tNZ+tyI7XSC/WPtVXrvJJZPRViD5GfpTFRtrrkPZaaLvMTQV1+tdrKlXp3y99DRmDtqtQUTd3o+V6Uclc13ihqhnL7obmP6nFXB0AgSMRJbXI6FuQ+FD5N7Wdj/SOg4pHlQkmng3Ms3sOc1bGbSzPvzXZBqHzoONxUhE9rQwIumS38wC/IizCk/aEArW/04wUHoi/yWZ7jFkzVaVi5nictWrusMkn5Db5H58S/AciO56ExA9KC+bdXhVM+HaFtosKXLhQBE0gkz9lG9S697HEHMCpP/9MwlYO8s8v+YYntj2TAaX1m3efRRRRxO+GIqEqYoM4aLuhPPj299kbdYnwgBgWwV7jw+fR6VpdzjMf/4RlO1i2A4bDY+H3ee4nFZm6r/9C/JqNjsSWuREDh3DkTajKiGw4yyG5ivRio4N3Z6WvkQIZuQ9i77iv2+n9wvcjJcogU3ao7bF14M2t2CJ93rLrESJduSVKzkTGP3RJigPCiyi7QrWJEa7Tdvwd8slUJdBpVGpD/D2kvQpR/Twbg2w50/VlyiAhlc8ijB6IsktwfNtAy1mkIzBesFcjG/cgO5LmRo18u0Pgz8jW85W1gmcrKDmHvEiNMFyylEOaA0eild+ITHyL7PStAjUX7ddBl+nQehGZvfVITobE50ipqco+exmK8Ag3YpWRTtQytELGYPKje/VopefiGH2V1YFWiyg5HWkug5bT3PHaENhXFSp0PJ1zvAcpQhD/Iv/cG4RXCc7tBTnnCqj78Ixx06Sd5Ar33Gb6eHfuaDmO1HvptEPiS0T1KyAjyI32kMyATAKlBcf/2JJlxOxk6pWYneSRBZ9y9+jj8/Ytoogi/lgUCVURBTF3eQNT5q9wf3M/vjXQRoeVoacBQZ+HvvVV9O5SiWm7xEYHbUgHBC3iDlQYbVju4V7NYWiwiXnRSiw3FSKlw1YlbTlXN8muPksozUxgf2TsdSV6LihAjkHsVbJIFglVmSWqyGvw6z8ULXi4GkfiK2Rymkr7VU9AJD5GShPh3wdh9EWac5TPkN6NfJ8nHXxjIfm9S+RQ4zenIp12RCErB0DKpNtaJSOKInSE9TN4+qhfvdsiSy+H2GuAUKaeBd3DpSJJoVPdti5htS3xuWqALHL6DkorQ+fTeX0/wjNU/eg0FrhGUkVsZM77JW1FQuOfodJvbtuZqteVW7mT0ZZICyGlVP5i3lFI356QeC/j9VKkNNEC+0NA9ZqTiYnQerYbQTIhdCpa6cVqmOV3Q9sl6h6EH8pugfX7b2CONgCtEkqvBWedIofCA1IiKv6hKu9ECVS/jmy/Rb1fTiPZ71kAat51q0Fzo3MJJbI3+pDZLHnjsJShqP9AiH+MIu9e0GppswPZPaeBdjNa+DRFFFHEH4rfnVAJIXRgCrBKSnmAEGIP4E7UV+YIcJKUctHvPY4iNh9zljVw2j2vpZsdl9iIAVG0agtRYuPTDMZWD+TYc3ZlbXM7Vz/1IQipsk3Dw4geiZR0ZFGsHEOkl4C7+k3kumXjmBntTqW3jGuHbEs3552cEeT5PitBOoD5CxuvBuxsUJyD4AnQ8UjGsRpYM3Fi7yv37I7HQMaQ+MEzFKpeQBPqz8OJvupqf9zzGkNdDU0nebAh8WmB60o2/iemKuGyFmcZR7Zdrxbhsmsg8jjYi9z7Mlx91gbIgoy5IvxMQmmCNRsqn4DWC9zyfgnltyvhc/PRigTKJBh9kXovkBI8IyG3r5/eB00L4ugDlKdWJhLfkRbmS/Vz/H1FUjJhzVK9Cb1ugU/yq+zX7ZUQ/xQC49WZpIlsPccVtrvoeAbHfyBCGAijG7Lue4SMglaNbDk9W7y+SWjg3RPaLnCfLZe0lV6DyCgcEHo9ovIBZORRFSHNHjRCRpEF04tSEfrkN+7vnRYYHhU9tGa51+xAPT8OyrpiibLmKL1Mac20GvDvy971Cea0rSbuqC8UhtBoSoS5fsZrnDdwX2r8hcl7EUUU8fvjj4hQXQDMBTr/0h8BDpZSzhVCnA1cA5z0B4yjiM3Ec59OSZMpgIgBa31QbaIldQ4eMJYLB49HOnD2/W+ofSQgBXJmKXRLp6JWJUt4dPUILug+DSGgwkhyf//vQFQg6iapsvfImW4vuE6ikKnDUVVbouQs9aveDyVKz/X9cWE3Kg0Rmd/aBXgGqcWp40VwlgCOEgS3XUm2e3dcbU/+CL4dVRSp/SayIh7WHHWuxKduBVYngXE1TDh02icILYiUcWTie7DXIoxe4N1RRWiEhiy9BML3kSZnUo3HaXBTa4J0NG5TztfS9XLKJRMOeEYg6iYqIqhVpdOctZ8iI08psmkvh9azkL49EOV3q8bO7VcoEqb3RVQ+jpSWihSlxoqKvlhr86/pRFCEMTNqo4Fraiqlk02UQM1lpqO901QgsqND+9VIc56yuRClUP2yGlNyWoH7z4RHjSH1/DgQf80dY8Zxkb/jaJUQvk2N0b8XouxvKqUaeZh06s+v9Gpa7UYiUJlEyyT1PtpNUPMxwlmHbL9VEc0UkmDNQ6u4VTmih2+F2Ksc7BW09b6QV1Y10mHFsR3Jylgza2Kt/NS0mNd2vIgSTyGn/CKKKOL3xu9a5SeE6AHsDzyRsVmSJlflwOrc44r4fwuzQN8+udaH55su3NH3ZC4deiCGptPYFsGqjaLvtx79oPXoezVBbQLZnM3TX2/qz8xojs+ObEc6rTjhf0DyZ5cEpUYAeJQHVOhcRM27CKMPACJ0gjJdFEEKt1gx3UrATNgQexUtdJzbfiVzgYuTvwALN2WG2xQ3h8gIXbWO0buT34g4AP7xUHo5ouwmZOJrZMNoaD0LwjcgW85Gtl1Kp/+bFjoFUfmw64qeQVI6x53XcLjMve9cx+5OWO79db4Hmjpu3Thk+82gdcnSjIHHjdwl3EhVTKUJzZ/QAvsi6qYhukxHq/0QYfRQonJ7RfY4rSXg35e8qsDAIcqMM/NjRlpIvYeaRqG5PQ4zn5cEMvIAMuFGdLRqRZqykFAmqsTVmJ11yNbLkZF/sFnmnr7dyW45ZJL3DMiYEvw7a1SKM/Yusv1vCM9ARNUTYAxSerDgEYiy61XVZtn1qPdmU+aarv7KWYVIfI7wjFBVl1lj8oJnCI61HMK30KkdE8LixPK7eXfns7EcB9t9lm0colaSSU0L8y9XRBFF/CH4vW0T/gFcTvYKdhrwgRBiJXA8cPvvPIYifiP+vPNIfJ70ImfoGruM7MfjFx/O4J51fDJ1PhPnLKVFRpSmyiuVrirgoG8TRlRlkwxLCm5ePjLnKuXKjLHjSdc4M5zzehLMBYjAfgi9e2qrED5E1cuIysfd1iS5xMIBrbAVgLRXQ/K7TU+ATCL13kgnrKr+tEqySJW0wTNc9cDLur4Az0C0in+ghY5VpLHlPLJJUUJpjcxp6aN8O6CVXojyGsqETnZLGg/4tkfUvKkiZBskVYBnG9C3IEWosCE2ARl9MXs/GSWfFGpgK0G6iqTlkt3cSJkGJacp3yu9r4qGVT2J5h2MqHrWFZ/rpOwcmg7D6XhOnb/yYZdUZY6pBdlyNk7j3sjGnVXqi4BrQ+BTfRGzIpQOWAuh4wk2neqTiLLr3L6MG0JnijnHPiP+maqsdJoQpX9F1H6BVnZNyqVfCx6myH/FPSAqNzEOgCTSbsZpuwJiz6KioLq6V6MvlFzuppJzU4lS6fVyt0qHdjPG+ng7/w2GzUUU8b8Nv1vKTwhxALBOSjlVCLFrxksXAeOllJOEEJcB96BIVu7xZwBnAPTq1ev3GmYRBbD90D7cdup4HvvgR2zL5uDth3PErlsyZ1kDh/7tmZTzeXWtH7ZMHxfSTUp1kwbR6VWURrPZuSgLJeINnqKq8TaUugOQDcimo6H20yxhtxAGeMeC3hcZf8+tkvMADpT9DaF3Rbb8hUynbVFyOrL14gLX6yQcWfXy0HSE0sQEDoPKp6H1DLBXqfRjxb2K5AVPQMbfV7ofAKlB2c3p01jL2OB3lhzRt5QxEHYOH3DAu7trH6GB0R9RfiNCK0cYA5B6T2T7VSotln02JawWgux0W0wtxJnO8qJE+Ww5q9Nz0EkYC0Aag3LuyQNGP4TeE1F6AZRekLW/0LtD9b+Q68a5OiFXwxa+C+nbAWH0h6pnkQ0jyCYOSaVtA+UVpvdVInqjnyK45hyytHR5/QI3BAtpLVE6uMR3pJ+HzucAFeH0HwzRJ8gmmwZy/b6kIonGcKh6Rj2PgLSWKId+JBg9wWwnn6xmwqta+cQyWxMZEPgTlJynKgatJQWPNPRq9qgfwTfr5pJwTDQEpnS4a8673CXeZavKvty99fH49KLzZxFF/FH4PTVUOwAHCSHGo+LgZUKI94HBUspJ7j6vAh8VOlhK+RjwGKjWM7/jOIsogF1H9aeqNMgFD0/g/gnf8dC7Eynxe4km0tEWs8GGlX7oHefo2vmc1XU2NoKvWrrxRVsPLug+g4Bm8WVrNya2d6b8pFqwN0Wm0ldRhMm3Y9ZWaa9Frj/IjbA4ar+Ku9Bc/yVZ9jfV406rQJScg/AMRVoLyf+2r5FfmeWW5gPE30Z4tkTUfo6UCcCb6rkmtCBUv4FMfAfR51SFWNMhOMFjEaV/Bb1rgXO7c+ASFpmcDOYsV0+Us5sIIErOAONmJRrX6lSarPNl/24I/w840deh/arsY5PfqSgVizLu2eOmKd1RyAQy/A/QSsEJkOpLWP53hOtmDqiegDKKFDXQemGGKF4ow9Pyh5Ftl6h50MpVSxjfDumxFNJBCcMVXvdHfQx5yXe0T90M2PPVv4RPHePdwRV6b6qaLzeNCsReRJTfroxBzVku8XTF6CTBaXMd8jPHrKvCCydD82XOdKtPD0WaC5DNR6A8sSTgc6NUUbe6UqqxaF2VUF8EVGVh7LWc+06ANV/p9qxfKVzNWgmygxuGDOOpUA2TmxbRbsZYHWsh6VggYXrLUh5b9BnnDdqvwPFFFFHE74HfjVBJKa8ErgRwI1SXAn8C1gohBkopFwB7oQTrRfz/DPGkxXkPvkU45pIeyyaWyP5wt0yHKruUnsFVnFE/B6+mFu59qlawZ+VKPJpayA6sXsaB1csyjsz1T9oYX3bUN//oS4BAhE5CeMciI/9004Sdi54NHc+Cfz+c8L3Kn0gYSrPj21nZAeg9lOA863qbaK8iY0jzZwSH5qS+3NELL9KarXRgneeKvYLUe6CFjkeW/lW1TUnpdPyIyocQejecyGMQecg9ziCPYEpLCci1qvxhWb+6hKQ3QqtU3ksyUz+kQelF0DLbrexzFNkpOVcdLyWy5SxXVJ9Q19fqoOYDNC2U3id8m9snUFcE0V6TMU6pCET7FW6FXBLsNnXe6jcQni3coVTlm2ZKS4nZUWlFWXYttN/ozpNGdqViJhIqclVyvtJnxV4ssA9qvEgKGnua85CNe7uk5grlndV6PmlyFnMrK3PO5+T260u4vf5ARh7IIE4AcdD6gv0rKnqaROnr9lDpQqEiR07yOzAz+/6582zOIJ9MBcEzRNl3tF2OJi1OqzuY0wfcyBmTHmNpRzrqmXAsZrQs38DcFFFEEb8H/tDWM1JKC2UX/YYQYjpKQ3XZHzmGIjYPq5vasJ3sxUjXBLqWTuX5vAbX7XQQR3WryErwaQIMLb0Y+jQHn7Yhx+qNVa75QOsG4TtVn7jEp8jmU1VUx2kiL51ir8cxF7lmj3FU+5c4tN+EdMKIirtBlLtanELX1ckXuvtcrdRGEP+SrCiDjClTSkALHacaFVc+BtUfotXPQPh2QjpRiNyHSluZ7v8aKlLjRVUJHqaqAnPgdDyPXP8nZNtlyPWHIq25pDVKoCJRvRQBCB6DImxCNf2NdlZltrgWC53kyALZjsjQdpH4CKKvuscnXDF67iIfV02isyJFTpZWTQgvouIh1yjTp8bqPwBhDEjv499DRcowSFtfbCBdJVHFAtbSwq8jwDNuA8fr6j6cNYrshG9XVYcF2/xkntI1/yRTIN+p58J91nIIYGc7mdTcRCH6GjKclo2K0kuVU78IAkEQZRA6A/Q++dcKna6iV5nPdvwdMH+id6gWIyN6aQiN3qHajd9TEUUU8R/FH0KopJRfSSkPcH9+S0o5Qko5Skq5q5Ty1z9iDEX8NtSUhZTreQZsR+IxdHRNQ9c0Tt13HDuN6M9ePcfjN7KjN5sq8E8jl2jpyhohcBSUXAx6LdkpkTgy8jj49yGvmspZDc3Hkb0QAcJAmvNB74Wo/QJR+ajSDeXBRi1+AgipdJYxEBE6Aek047RehtN0JE74QeWPZM7BaTnT1VBl3rEOerrSUBi9Eb5d0Dz907vIMPnu5X4InYUovQxKLwF8OOGHkHY68iDtJgjfQdaiGvknVDwAnhGqfF+rU6Sh9Ry3759Jqt9d5D4ccyEy+l6Buc+GTE4n2/PL3sAxef1jkNLEab0YZ+0InIbRKqKm9SQlkE+8jxP5p2oAbK9Btt/r2ikk3X8OihhuRT4xiimCbf5UeOAiBL7R5H+8aS6ZziR/caXHEj6y38PcJ1hA+T+Ulgtd/QudivDtgJRxN72aScb95D2HgBK3f5A+q16PqPkIyv4Geo0iuk1/Amu52wbJrej0DILQsQVsJgRYKzl30L7UByoI6j6Cuo/6QAXnDtq38PwUUUQRvwuKTulFFERZyM/Fh+3CPa9/TTLDRiGetKivLOWN608k4PMg458jIw+zwWhCHjojD53l/Tmv6d2g/C40r9IYOU1fFDiHhRbYH8dZ53o4RVPblaljDmQMWk5CoqlzB/ZGll7helDl6nYctSAHT3a1Otso7dS6XdP7mtNUlMyaTpb7OIa6N+FHlFyoLu20Q+ILkA74dkHo1WpXrVaJq51M/yYHETxcpXRaL3CvZyCjz0HNu8qqwWlQgnOZkR4UHoQIIKpfRyYmIVvPQEVGCmjUhAdaTnLTV5lEyKMWcO/o9K5GL2V0mjVHBVK0olpZC6SIiulG34TaJhNu2lNL7yNjELkHGbk/Y3suMYuCPYd8YbdPEaqC5E5T0Z7AMRB9Exy3MTMBKDlLRdxynd4T36tee/GP3fezBOU57F5Xq0FUPAJ6BZIYqerK2Ks4nlGuU7tLxkWJ+hc8FiKPUDCl7Jg4LReCZwtE6FSEVq7c4O3OFJ10+xZ6SPl4mYsh8bUiy5nPjHTAM5gKT5CXd7iAma3LkcDIil5FQXoRRfzBKBKqIjaII3YZxaR5y/hy2uKs7Y1tERpawvSunI1svYgNi4k3gNLrVeVa4pOcF3RlzNl8NI5vd0TFPYjQicjW6RnX8COCJwCghU5WkaLIP0gvXK74N5UC69TiuAt52/k48f0QpRdD5cMqBZbIrLJyzxF7000rOkp7lXWPEswf8+9LBBGll4N/T4RWpRoYNx0CTocSNIc9Sltk9FbC5FxNTuAY0GqVbil1PZWKk9GXEKUXqlRegWbJGG5a0l62cUmaTLjC6cyF3g+BAxGllyJERpQlcDjE3nMbKWtk97JL3TQEj1QVc9a0jO25qUGTgs2EC4quM1GocCGneXUKPmXRUHYlQgtBzdvIjqfBaUD4dkH498VxkhB9MPswZzHEfnXH4yGLTHVWV3pH4bRdD/a69JidhIoCZka8ZAwqHkJ4R4NnlOrVSG5UqR0SH0DCi4x/DtWvQafvVhbM9LXogLa/KqIff8sVx1vgH49svxUpAnhLzmFM9Zapoy3HZn77ahwkg8u64dGKH/dFFPF7ovgXVsRGEY7mL2i2I/F7Pa6n0W8kU2jKEdq3q7uIxNPbsUkt9ImvkNF/oYWOgoq7kB1PoETppyP8u6XOJrHIjwK4aSW8ZEVFAHAg8QEy+RUQRPX3C7j7qyo+pATZQGpRtTMF9RuBCCGCR6RHEbkfnBY1PgmQQLbfgqh6DBl7i7y5iz6NjD5FQcIkFfkSWglUPIxsPdutnJPgGw/JyUjf3spwcoOMSoBnOzBzFm+tFFF6CTL6KtJpQ/j3QHjHKOF01fNg/gyyA9l6RYEIoATfLip6slH8Tz5q3MbPJFCkqSdYC8i+TwElZ0P0eWg+SVlelF7j+nu5I5UWnVG/ws8M5BM8xzURxX0OMl/PqAbN3NZyIhId/PtD7ddgzYXIE2B+n7N/EqzFyI5H2VT6NXXu6LNqDvCA1g/i76bGJJsnQfXLCM8wIlacMyY9xuqocp2v9ZfxxDZnUu7N9Toroogi/lP4Q0XpRfz3YcwWPRA5cpL6ylLqq0rJdnbeXNhKQ9J+k0oveXdx9SclZC+QMTBnqFSI04wovQqt+lWEf8/UHtJpV73uNogkhSMgUlXEyUb3mlFAV2MJHuuKpzMXvgKLnahw9+tEAAIHKd1Qy19wYh+7FXGZC7ejUnbgWg8UWIxxyCdEfoR/n/Slfdsh6iar5rkIiE9QTuGNuyKbT1FarEJ/2iII/h3J1p75wDMWuf5AiDwA0SeRzafgxJTORwgd4R0LWr1KhebBh5Bx8O9FnlN6lg7JC+WPgtadwg73G4EogdA54NtTvT/GluTrk7yqGjHVYzEJ4VtVexpAShvZfDJEX2STlZ250F3LD++2OWP3seGPUBvin0DsRTTftmDUUNiTKqk0cLJ9MwdjoiJo7eDMJvv5jiOjLwPwz4WfsizSSNROErWTrI62cN/8Dwqcr4giivhPoRihKiIPL37+M8988hNSSvbffgiV9R5aGkyQUFUa5IW/HgOACJ2KTHzFb49SdWqRfkFU3I/w7YzTfLxbwt9JXvxgLUK2nqUiRghkyTloJWekT2MtUR5CG0txabVu+5hNjFGAKLsSYfTDMaeB2UL6xD5FJmSbOz5NNavV69U+0lRtcjoeIdXKJvGj2+Iks++gH7w7q8v590V2PLmRcRmKsIkQiCCy9UKkMQxRfpvSYTmtEH+brFJ/x9VzSXfMnf5cnZA2wrsDsgSI3KNe8+2kBM+JTzP2jSvNk9ug2Il9rNqwFCQEqpm08I5BOuvdqkBHpSbtFRn37iiLg8406gZRIJ2n1aOVnql6Iq4/IIeoaoAHSq+D8HXZxwlN2WR4BitDU2smG2+svQGEzlSnC52GtBa4onIBvu1AapAspPMDVYX3hTJDFWUU7kGZG+USyuHezvQP+w2wlyKjb7K4vQEzw/vLlDaLww2//XxFFFHEZqMYoSoiC+//OJeH3vmepvYozeEYL3w2lfbqVrTdmvHt3ka3Ay0qSjRVtaX3QFS/4LY4+TcgHbBVK0dRfrsiKaJEEQljkEqVyBiKdMQgch/SyRAU6zWKzGwQfggej6h5B7x7sNFWLdJU5euAKL8NRAWmDBC1DX6JlHLxshOIh25QAmykWvCSP4K1WFkiyE7S1knCYm4aLGN8Rm9E6fnqGp5BiKonldFjoZpI4YXyu1Qky16qnNWT3yGbj3dNQNuUz9YGkWG+2TkX3tFIvZciT0KoSJY1H2w3LZk1HxnEo/1a994ymzR7QRsA1S8itFIVyfLtQUq3Zi8mmzzEIdlpL7EBM06tu0pJ5r5P9iKc9QchYx+7hKyAP1P4GgpVG6aMTJ12kIVqTzejHrWzXY+91nVoBzDAtx8kp27wMNDAmoVsuwyiL+XfV0F43QrPf9PLODkdGb6BIZ5v8GnpKJ5X0xlW0fPfO2cRRRSxWShGqIrIwvuT5xJPphdXaQuslV6M/lEsbExrEfa6XdFxRbHBk1WUI/pvNmX1DANUixJZ8w60XquiCrJTWJ4B4VGaJK08fUzoFLeHWwFiFTxRaa6EBpUPKa1K/EPAr1JDzhpS5CB0SspAUxj9mG48ybPz76fdgtnRagYE5iLCX4CWeR1L2R+YP1PYiDJHdG4tQtprUt5SwjvWPSL3OAO827il/J0WAu717JVIexXEv90EmcwUfOvgGYWofAzZdq3SsHWe006ANRu12KeF//j3QVrLwWkukI5yW9o4K6D1TGTlswijJzJ8M789WtkJLwSPRSs5DSf6KkT+kdFSR7q9+h4tcJwDZOq6XPd2aauUqGeMe/qtQBRwo98c4uIoHZJsOd1th+MACZdoFvpO2lkJ6c6x7HwONuXq7u7jhDdvXAWRAAln1P/CrFh35nSEEMCA0nrOHbjPJo8uoogi/n0UCVURWSgP+VQWLfV5LsEjUz8/POATtEzyEn2WjX/L73ytwAKhlSNbL0YGDkGEzoTWi91v/AlgNfkpJr+yVcg8RelFOMYIaLuQ9ILlBc9WaGWXpEchNETJ2cjAEcj1410fKNfryH8wWk4Pup+aG5jYXpMa9cldZuIRBQiMtAENETjY1a9kiuxzUzY2NB2GrH41o7VLgbnz7YqoeFBpyAqdo+NJVemVRSJz7Q1yjrEXqUq8+ISccVngrENU/AMZvkX5HPn2ArzI9fsrEpuqmux8PzqPT4C9Gtl6NqLmXZcI5KKTXAiV9pLtFCYLSTeVB1rwSKTTjozcSzpyZitbAa3CrVK0UR9fTsZ4pNpWdgPC6IfwDEPKGLLjX0i7AYJnQ8c9Ba6/Mbd+AXYDTtu1rut55n4aG9TobRYKieMDqgJ0Q2MpuQ6iz4Czko31CfRoDg/3/461ZR8gkXQLVKKJYkKiiCJ+TxT/worIwhn7b0fQ50XXBJoAYQj8w9VCvX/lSkp0M4cCJNloT77A0RA8PWeju0A7DapyKvJPZPge1QsvdS5FVFKEQ+uKqHoOUcDRWgvsiah+SaUJtWrw7YaofLjgcGT8PaSMkl6MTFXCnoEpTYuZsPKnrGWxRDfRCvJGG7yjEZ6hiKpnlEO3MVw5vBccQBuy5dz076HTyBJziyCi9BIVVfOMUE18U0LoAAQOUJYOWf5XPlcUvpEiASeCjNxHQe8vYzDCvzta7edodT8g/OMh/i9UtKPTQkBz/7lO5+kTg+W2afHtTLYfmYf0R4xUlg2ihsIfOwGEb9v0r3oX8r3NTEWm9KFgDAHvruSn0QTCv69LppLIpsOR4Tsh+jh0PEBhslNIbN8JCXRA7O38cQsN/H9CvX8Bd7yb+R1VVEPwxPz9BWD0Il90r0HpjRB7HpxVbLzpcuepWunmF/QIVhfJVBFF/AEoRqiKyELf+ipeufo43p80F8dx2GXrfkxo+YEPV09jcLBpA6RiQwiAd6zbgLbGtSjQXaF4pqFlTC14eehc/A3QysAYgDTngL0KjEFZbVmEZ6SKkmwEcTvJ+ysmsn+ZhTdjfbGcZIqKLAyv4eKpzxF30pEHDcEXrX0ZXdqMlruQaRWpHn/Cu7XSlAFO818gubLAKGSWDYMWOg5HlKqIkyhRjZwN5aguhA5Vz6g+htZihGeUasQbK1Ct5RmpWrHYi93wYq742gG7kCg5CKGTlR+XXq1E8/aSzBBl5yxB3SxE8gtk2xVkOXaLKiVcj72Wc0yBNjWiBkQ3N8KSAd8uCP9e6d/94yH6Gliz3IhUZ/osDPZCqHgY4u+rtKg0SZH00itSffJIfAHWStIkfUMpt4TS7snIBl53x44B+BWRAlX1FzrNjZq1gKiH2DMgN1VF6Af/vojQyUitBjrud6s+vSo169sTGTxO3T8x994cCF9b4FxCnU+rcYlWJmH2usS7chPjKaKIIv4TKBKqIvLQvaacM/ZPRwueaujAkjZLEyXEHJ2AtulvxwAEj1al7OYsUh5PRj/w7gDRp8kz00SncBrFAms5su061buss+lx+S1ogQM3+77un/8RU9eF2KdUYEjVczBm63zY0pMhgRUMq+jJ1w1zSDrZC6JH0zlm8D1o9n1u5KYTPvDtkXcdmZwCyYkbHkhu2jJ4MAQPRtoNyNZzFWnUKhHldyqLhNBJGeee7gr256h5QQPhRfj3VX37El+DbFfNo+0lGVcxFSm1o6TJlg9CJyvfpk6S4BmtesnlpiK1WoSQKh3ofdv1EOt0PW+HtuyU6QYhtFRD4YyTgzEI2fEc0voV4d0S/Acjqp5VQvyWs8hLU7Zd4JIFC9WiphuETkMEDk/v5nRsPJuXgu2Sts3Yz7Md+MYoA1ERhKZDyar81Lq5qcGNVeiZEH8bGXtDRXC9O4ATh8A+iMCfEUJDllypInqxVzdxAxICx0LslZxrGkqQr9Wrvey1Sphv9CkY5S2iiCL+5yjGgYvIQkNLmLnLG4jG09/mF4bXYEmHCev7Maejipit5wcwciFKlODcnE1WhMBeDqKcwouEDZ4twbM1+VzfdG0CMnrYtV2l2sJsJqY1L2VJPMBZi3ZlekcNi2NlvNQ4kPtXbcn0VhU1Cuhe9Jz0SInhp3dpHUv08/i843BiThAHP/jHI8quQdoNOC1n4zTug9N6iRtBKtT2pQREOaLi/oLjky2nuOTTBGcdsuVMJUB34cQ+QTYfr6I2na7e3p0Q1a8j9C4qMuPdFoyBirjm/nk7JpScD6IU5T810iW2cRVxklEwpyJkBEInAl5FGhDgtCAbtkbG/qUsCrKQYLNL/O31bj+8zLF5IP4BMnwXxF5Ctl+PbL/OrRzcRRHBLGiKbKT0R6aK+rXfimxR7vmAEvbnttcRuc2mO4nj5nhTSTC/VYL5touh7XIUOU2o/51VyszTuwMb/2i1089w7Gm3L+Fk6HjcjVQBkbsg9habwQYh9hR5BRBaNVQ+CQictuuQjXsim49ENu6uig2KKKKI/ziKEaoiUnjk3Yk8+8kUPIaOJgQPn38ow/rU06+kjoZYGzZw7uKdObh6OZf0mIZnY21DZNy1GMiJdEgHOh6i8ELhQfh3h+BJyOajXYfqBFL6+SayNYujEXp5m9mjYqVrNqoWeuUHtWn0CFaxJNLA/FglZy3aNbU9oHuo9pYCML77Vjy35BvazRi2dPBrHs4auDdz21bxl8mPEbclMB6/7uHRcaczBAfZdKRr2GmrRslaBfmCY9emoOQKhGdw/nQ5EeWrlZVS1CD5CwTc0v/wjWQLz3WEb6eUwF0mJyNb/qKuJTOrAzsv0gjR59KRHfMX8u0STGTbX1UU0H8wJL5CGZ+673X7LVCmuam2zalay0USvOPcVi+d4zPdaJo7FhmD2JvI0osRWiWi7CZkq9svTxggKjMaKWcipuYr9gYEj0IYPZAVD6tiBxlRRLPyWTBnuL0SO6vpfmtFXacxbEfOdgfiHyNqXlVGqfZvIS5J1XYp8SnSv79LdDczElyIzDoNsH4PpGdbRdYw1fslo8jW8xE1E37D2IoooojNQTFCVQQA0xev5vnPppK0bDriScKxBBc+8jYAVw07hC6BcoK6D5/uZT3bYWi5guEC3Dz+sRsp6UwxeFSUZoMLmI30H6QiE1XPQ8mZ4B/PneuO5folvXh8zRbcsmI01y8b63p9utqRzcQlQw+kwluCz+1pJlARqUFl3dijXjVjrvSW8OIO53Nc3504pMdY/r7VsRzUYwyPL/qcuJ0mkHHb5L55H6qIkmwjU+QunXZijh9L6hl3KpVVQ/u1yALeRTL5M3kLqJApbywpHdcFPBNJpNPqvm6r1JjscKMfhchOwq0g6yRRljsLmR8Dprofp0mlV2XONYUG1qoCeqPOdO2mYIO1OGdfh/wIkQ4yjjRnur0aPaD3hpIroPp10NzIWR7iSEtFG6VMQPuNLvExwfpVkXl7aYHrdeJ/mA5zViFEADw7bGCHXLF5JuKuz1ohC45OaJs4RyZsMCeSnUKXah6KKKKI/ziKEaoiAFiytjlvW3M4RsK0qPGX8dpOF7EovBavZtCvpA6R3BrZeg5IiyXxCiZGhnBY1bf4UvoqS+mNan9U6QtzpiJXiR/YsDjYUQaIpRcghA9Rcg4N8Tbea7jb1TUJYo6Hr9u6szS5in7dHkBs1NwyG1385by+88VMa1nK+ng7tpTU+EvZoXZQVpqvxlfKOTmePVErP4U3rWUpn6/1s7sve/EzHYszF+7C6JI1nF4/h4CeJkpSxmlsfZMudaPT2+JfQOuFZC+ifvCMAu/26tcN9RPUXbNG2eamwTaF3KiHV0X47BWkTDlTSFAwwhh7mbwFP3Q2wrctMjpBEbENVn76UGRmE2PVa5FSQvMJ6UiQHYbwzeqejYGQnFTgfgIIzwh3+N+6kcMMN/noc+DZisKO6Tobbta8WWKsFAFGryQvSikqoPRaaL8ahF4gwiXBWooQPqR3O0hOIT1Phmq94z9ApRs3O3pVYMzCh5QSkdtTqogiivgfoRihKgKAPvX5lUBlIR+TWxbxa6QBr2YwtLwHA0rr0YSG8G2PqJvMiuBrnDB/V36NRrALfXZrJWjlN6LVvIWKOrRufCA5xCFixjByNE2GFqSj7On0wvkbEDJ87FA7iIN7juXQXuPYuW5InmaqEA7sMRqvlk3eJJKb5s3H0vrRWb5vSS8/heuZHyvlpcZBNFnZfessKZiweh4HfXUHJ0x8kGcXf4WMPESeh5RnKKLyKWWfkL7znFEZ6T5zopzNi1x0NhoG8IMxElHzMaLLdOX8nYcgacsEHQiR3yDZg9BKEN6xiJIzyV/ENdWKxhgKwRPAnLbpYepbIMyfC/ABC1rPctsU5ZIKA4KHgX8/pLVSifsLcSCtnPzolgC9n3u/uS/Vgla36TFjIEqvUocEj3PbzXT6ePkRFXejBQ9E1H2HqHoZtB75p3DNTEXFQ0qPpXUDz1aI6rfQKu9HENuEQ/5mQHaoytEiiijiP4oioSoCgC37d+eY3bbC69EJ+b34fDqJ0Y1cO/0VTvj+IR5f+FneMUJ4eHPVYkxp831bV0ypYzlqoXLwgVuxlII1n42Jf6UUfNtaxT1z32Nyk/I26hmqIWhkew112El+bPpj0xb7d9+aQ3uOy1+GhcEq/70QOh18ezPLOpirl21P54J936pRxB0dR0LSEbTbXt5o7MPaeCvz2lfz8MJP+TWyJv+CojzrVxl9n/zoiQ2tlyCdZmWxIAqQgVxodcoXzBipfremIJsOQca/c/v55aIDUq7fGtmu5KmTKisMQBg9yW4aDeBBhM5Aq5ngXmMztFdCc++nkNjdIn8ufFD9JlrZtciOx5Hr93N1SBn2DnhVFWPwJPfcmR9/wrWVKPB8hk5ymzpvCjYy+hpO5ElVpVnzPqLkQhW9q34J4dvJvbUypaPzjiE7xajaA6l9gmgVt6PVfaWagnsGucP0//sm6ilYbpSxiCKK+E+imPIrIoVz/7Qjh+40kpUtLVw0/0lM3cJygwCPL/4Cn+7lhH47Zx3z/7V352Fy1VX+x9+ntq5e02sWEkjCIhCihNAi4LggKKigjsz4CMqiiCPjjAP8AGEQ9wV0kHHAYRGRKDzqEIdFURAEH0ZZg8YEAoQtEEKALJ2l0+mlqs7vj+/tpLqrekm6qyvd+byehyd1b92qe+qSdJ3+fr/3nK3RuqIN2QpOX340/zJtKS3JDmprjmPvun51c5JzovUzvV+oScIXZhYHft22P99d2UnGH+S2lY9x/pwTOGFGK9ce9lnOePhqNvRs/3K86YUHmF3dwnunhcTgta0b+OYTv+KlLWt5U+00Lp77URorakb1+nxqn3dz+yuL2JrdnhDELMa0qmnE4qFHX1NqLdiV9H7hP9q+F9eufRPNPMqGTIxfr5vNhuz2BNFxfvb6LC6Y0dZnapDuP+Fr3gmNC4A4dFxH4Tepg6/H26+D9LHghdO2fSqVkwptVDpuos9C88wzsOmLDDwN13veAabDrBbSx+Ud3v99MtvatwxvqiqNVZ2EkwyJj/efniuWZNVA14Pkuv4E7VcRipL2xhELNaJiVaHtTttnIDYlWh/WkfeeW8NUYuYF+vRl3HJVKNZKkoGnBAnHd98P3Q/hmaeI1f8H1Jw5YB8Bq7sEz66Ibr7IQfq9WNUnBr80Fe8Oo5LZ5wc/bii5/tONIjJSGqGSPvZoqmPK1CriycKvgWufu4cX2/u2xTgxb9RmdXc1F790OGc9fww1k84OoyZ5rPaisI7KosrSybdgU/6KTX6cW7t+xOWvzCPj4cuyM9fDlcvvBmDP6qaCUarOXA9/WvN0eJzt5oyHr+Hx9S/yeudGHlq7nH969DoyueGuMxmehlQNlx3yCariKZIWpy5ZyQ9aTycd3z7KMLO6mStbP81+tVNpqajj/XscwmcOPIefrmnlZ28c0CeZ6vW7tllc9sp8lnU00JPrvWY9kFuDrzszNJC2/jcB9MrC1lvxtk8N8HyMUP9rLiFp6AE20jcxyFHYr28H+OZwd2Ov1FspqJieOiw8rDqFPpXhC1goNJpdA22fBV/H9um5BAMvGl8P7ZeHkgYFI2ApqP1cXoXxruhx/+MykHoX1F5In+lT3xrWAFafzvCmVTtDGYjcYIVCCU2lG3+JtdyHTf4zsfrLC/7NFLzGKqDxpwze7mkYev9/iMio0QiVFJhSWU+syA/shMV5dvNqZtdsX0+y/6TpfOvgk/j60oV05nqojCX53vxTmFJZX/B6i9VB063RLfIG8dlhStDSbMlCJtd35KEr7666hlQNr27dPt2UsBjNFaHUwfJNq+nIdJGNkrGM53ijcxOrOtYzs6ZlJJeiwOHN+/GHY77M5p6t1CUri7b0OLhhJje//Qt99l3Z+inOfnwBG3s6tsWZ7662mdzVNpN/aF7BeTMWbX/CV+HtVw1eosA30XfkJ38BdTb8l1k63I+4Exzf+MWwZskqoeacEG/PY2GKqvbLWGp+iKzq1ND6p/06wnRi4XvRdV/U169z+z4qwqLs+DTouL746wYcQYtBz4p+I11ZQnKW3wOxAqt8X/g8VtG34rklIHUUbL0tWufUOwWaI/wY7X9nXtRAeghmBvEd+zsai7eQS7ZCz98YXsPl/hJY9Sk78ToRGYwSKimQjie5/NBTOOuxH/fZ7zhT0/UAvNrRxneevI1VHes4qH5PfnvURVQlUn0SjI5MFz94+nc8sXEls6qbOffA42mqqIXEvgXnfHvL/lz/3H1ko6SqIpbg3VPmbHv+/DkncNaj15PzHIZRm0zzydlhTUpFPEm23zRQ1nNUxAca1RmZuMWoTw3W/63QAZOm87ujLqIj201bVztfXXILSzYW1il6qqOOb740n/P2XEw6Fn2mnqWhMndmOcUbIPcfiRvuIptiDZx3Rneo7UQ2TLNt/ipUnQENC4jF+iWcXfdD+zWDnzfzTJGdOfB41Ix7KPmNnAmJkcUoaCCdmA2pd0DnXRCrxmovwpJzQrmFbVONUeJklVhqLjT+Et90cWjzk5wDdV8OVc7bTo5qY2UJRVMPwXrv+CsBa7gW3/QV6PwNO7aoyqDqE1hybqlCE9ltmQ9Z8rr8WltbfdGiRUMfKKPq3tVL+NrShSQsTtZzfGD6IVx40EfYkunixAcuZ0P3FnI4SYuzX900fnL4WdtuxXZ3PvPItTyzaRXduSwJizE5PYlf/N3ZpAdIdB5d+xzfXXYH7ZlO3jH5AM478IQ+SdGqjvU8uOYZkrEER0+dS20yTB3lPMfnH7uBJza8TFcuQzqW5IiWN3HpvJN36VvDz120gD+vXY5HX4gpi5MjwxlTnuS0KU/37ZtotdjkB/F1H4PM0+zwyuTYjML+eaQY3ghHAmLTwpqjgvVMg7ym5vPEaj6/bY97Fn99PsVLFgylgpCsDKeiORQkVfF9wsL5zBJ6m25b481Fi6wCeOZlfMO5YTQ1Pgurv6JP78iC47Ov4pu+DpmXIdWK1V6IxYZxk8AI5TZ+KWrcPFgZivzEuRJr/vWgn0V2DWb2uLu3jtX56qzR32aFrbRK4V5fOKafbaxohEoGdMy0t3DgpBk8u/k1JqfrmDMp3Oa9dMPLdGV7yEVf6j2e5bnNr7GuazPN6dAm5PXOjSzf9Crd0TqmjOfY0N3Bso0rmd+4d9HzHda8Lwvfee6A8UyvauQfZx5RsD9mMf6r9XRueelhnm1fzUF1e/L3ex22SydTAN+d/0m+8+Rt3LV6MXFizKxu4ZnNr7I+k6bbY6QtbxQn1hDWzzRcg68/NaobtQOjS0WnDHsYeqE1EJ+ONS2E7sfwrv8LBVuLLoDPl4EtCyAvoQpTk8NNiHrFQj+66lNg82XFgqNwhK5/PS0g14Y13xmqw3t7WL8XG7hpsCX2wpoXDjtKi++BNVwz7ONHi9V9KazV6rqH8Ll76JNsW3Vo9ZN9MfwdqvuOkimRElFCJYOaXtXI9KrGPvuSFt82qtIr504ir05TzKzIGIoXXXM0GpKxBCfP/ruSvHepJGJxLnnziVzy5hMBuOKpO1m+eTV3rJvF3ze9wNTUFuIGFbEUVvctACw+DZp/H1qxdP1m+CcrqGwO2794q4Hu6Jb8dgpGv9LHYrFJkD4GSx+DV34IX/9ptjcFro6mu/onS/3ex+pDX76o1lK/JwuPB0i+lVjTz/DO+/FiyVOyFXoeKXLe/KKaKag4IqzXSx3KRGKWxhr+Ewijwr7+Y9CzjJBYhRsSrPHGsH5RREpKd/nJDju4YSYzqpq2FbpMx5IcPXUu9antUxwtFXW0Nu69rc1L0uJMq2xg7qQ9yxLzePCxmUdQlUjR7UlOX340l686jJXxM7Hm27GKt207zsywyg/S9265wX43Shddtxb0EEoHWLhbryCpSWLpD/TZY6lDseY7sLoLsUlfwZrvgfof0vfOvsrojr6815lhDT8OvfhIh+OTh4eaWBXHAv2/9FNQcRSea8fjUykYkYu1YI0LIFnkjjWbQpgmjEPqcKzuGwN8/okjXN8bIP2+MMWbOgxrukXJlMgY0Roq2SlbM93ctOIBVrSv4eCGWZy419sKKo735DLc+PwfWbJhJXvXTObM/Y6mJpEe4B0Fwjqx/3n5IToz3Ry7xzzmN84e8NjclgXQfmWYzku1hgrkfUaiYpA8FKs9G6w+jF54J8NvWwIkDyXWNLwikN7zLN5+eRitSn8Aqzql6LSreyb0FIw1gHfjHf8LW34EdEHiwHCnYM+y0E7HKggV4feM1j/1Mqj6HLG6c8i1nQ9dt/c9SWwPrOV+IDdkKQKRXZHWUI0/mvKTnVKZSHHmvscMekwyluDM/QY/RvqaXtXIOQd8cFjHxqpPg+rTAPDcJnzNe/Ke7S3kuRnfeidWewHW/Fu841bY8t8M+3b7RPH1bsVYcr9hrSMyS5CzqbDxwqjvX97IU89iwo+lqOBm79qvTP8K7Q65V8PD1Fug626238GXCK17zBh+I2ERkZHRlJ/IBGCxOqzxpqgfXTTVRQ9kn4atv8LbPgOxqcRq/xlr/AnEmgi1wGZCxXsHfuPOe/Ge5aMaq3sPrP8odN5G4cL6bvq2ixlE1MvRqk6GincSPnclxGdik745avGKiAyHRqhEJghLHoC13IV3PYRv+Gfw3sKZXaFOVO4NiE8JTYwnP4R7FrM47jl8zQchV6SdibfhbWdAywOjdtekt98Imad24BXFFqwntrVpMYtjDVfh2dVhSjO+l6b5RGTMaYRKZMIp9s/a6V0u6V0PkttwNr7p3/GeZzCLYU0/AWum6O9YuXV5ydko2PoLdqiOVmwqYfSpVwVU/mNha6P4NCwxW8mUiJSFRqhEJprUISEJya4kTKFFrVHWvotcfBZkV9FbCNK3/gav/29i6XdBy+/xjl9C+xX0XWMVNSkeLQUFRgeShqqTsNoLoPsRfPO3INceyjjUnj968YiIjAIlVCITjFkKmv4Hb/8BdC+GzDK2rVXKvtDv6B7Y8Dm86VdYcg5UfxrProCtd4DFwTNY/fdDDadR4N6v8GSBdGizkzwIqzgSS0fruyqOxCruHJUYRERKQQmVyARksdpQRbv9R3j7siGOzuIbv4I13xJqGU36Bl71Mci+DskDsfj0UYwsQdHq5qkjQ1Xv1NuxqpN2+Sr3IiL9KaESmchiTWDJ0CB4MJklePdiLDUPAEu+edtddKPJzPCai6D9MkJR0Tgk9sYargsjayIi45QSKpGJrPJ46LgZMs8Tpv0cEvMh81C/Ax3fdAnW/OuShxSrORVP7ot3L8LiLVD5USVTIjLuKaESmcDCeqpfQNe9kNsIqVZ8y08h8zAFa5lyQzU8HsW4Ko7EKo4cs/OJiJSaEiqRCc4sCen3A+DeCVtvoVhdJ1JKcEREdpbqUInsTjxDKJTZT+IArO5rYx6OiMhEoYRKZDdisRpItgK9a5ZiYPVY4w1YbBRrTYmI7GaUUInsZqzhaqj8UOjjlzoca7oFi9WXOywRkXFNa6hEdjMWq8YmfbvcYYiITCgaoRIREREZISVUIiIiIiOkhEpERERkhJRQiYiIiIyQEioRERGREVJCJSIiIjJCSqhERERERkgJlYiIiMgIKaESERERGSElVCIiIiIjpIRKREREZISUUImIiIiMkBIqERERkRFSQiUiIiIyQolSn8DM4sAiYJW7H29m/wfURk9PBh5194+UOg4RERGRUil5QgX8G/AUUAfg7u/ofcLMfgXcPgYxiIiIiJRMSaf8zGwG8EHg+iLP1QHvAW4rZQwiIiIipVbqNVT/CVwA5Io89xHgD+6+qcQxiIiIyDhiZseZ2TNm9pyZXVjueIajZAmVmR0PvOHujw9wyEnAzwd5/WfNbJGZLVqzZk1JYhQREZFdS7T2+ofA+4E5wElmNqe8UQ2tlCNUbwc+ZGYrgF8A7zGzmwDMrBk4DLhzoBe7+3Xu3ururS0tLSUMU0RERHYhhwHPufsL7t5NyCE+XOaYhlSyhMrdL3L3Ge4+C/g4cJ+7fzJ6+h+A37h7Z6nOLyIiIuPSdGBl3vYr0b5d2ljc5VfMx4FLh3vw448/vtbMXiphPM3A2hK+vwS6zqWna1x6usalp2sMM8fyZJtpu/teX9g8RqdLm9mivO3r3P26MTp3yYxJQuXufwT+mLf97h18fUnn/Mxskbu3lvIcous8FnSNS0/XuPR0jceeux9X7hjyrAL2zNueEe3bpalSuoiIiOxKHgP2M7PZZpYizGrdUeaYhlSuKT8RERGRAu6eMbN/Ae4G4sAN7v5kmcMakhKqYNzP3Y4Tus6lp2tcerrGpadrvJtz998Cvy13HDvC3L3cMYiIiIiMa1pDJSIiIjJCu31CZWb1ZrbQzJ42s6fM7IhyxzTRmNk5ZvakmT1hZj83s3S5Y5oIzOwGM3vDzJ7I29doZveY2bPRnw3ljHG8G+Aafy/6ebHEzG41s/oyhjjuFbvGec/9PzPzqBi0yC5tt0+ogB8Ad7n7AcDBwFNljmdCMbPpwBeAVnefS1hg+PHyRjVh3Aj0v9X5QkKPzP2AP0TbsvNupPAa3wPMdfe3AMuBi8Y6qAnmRgqvMWa2J/A+4OWxDkhkZ+zWCZWZTQLeCfwYwN273X1DWYOamBJApZklgCrg1TLHMyG4+wPA+n67PwwsiB4vIDQhl51U7Bq7++/dPRNtPkyokSM7aYC/xwBXABcAWugr48JunVABs4E1wE/M7K9mdr2ZVZc7qInE3VcB/0H4LXM1sNHdf1/eqCa0Ke6+Onr8GjClnMHsBj4N/K7cQUw0ZvZhYJW7/63csYgM1+6eUCWA+cDV7n4IsAVNkYyqaA3PhwnJ6x5AtZl9cvBXyWjwcAuvfrsvETO7GMgAN5c7lonEzKqAfwe+XO5YRHbE7p5QvQK84u6PRNsLCQmWjJ5jgBfdfY279wD/CxxZ5pgmstfNbBpA9OcbZY5nQjKz04HjgU+4as+Mtn0Iv4D9zcxWEKZU/2JmU8salcgQduuEyt1fA1aa2f7RrqOBZWUMaSJ6GTjczKrMzAjXWAv/S+cO4LTo8WnA7WWMZUIys+MIa3s+5O4d5Y5nonH3pe4+2d1nufsswi++86Of1yK7rN06oYr8K3CzmS0B5gHfLm84E0s0+rcQ+AuwlPB3TlWQR4GZ/Rx4CNjfzF4xszOAS4H3mtmzhNHBS8sZ43g3wDW+CqgF7jGzxWZ2TVmDHOcGuMYi444qpYuIiIiMkEaoREREREZICZWIiIjICCmhEhERERkhJVQiIiIiI6SESkRERGSElFCJjCNm1l5k3yQz+6mZPWdmz0ePJ0XPzTIzN7N/zTv+qqgwZe/2uWb2tJktNbO/mdn3zSwZPbfCzKZE5QEWm9lrZrYqb/tNZvZEv3i+ambnRY9vNLMXo/ddHsU2I+/YFdF5e9/vv0b9oomIjAElVCLj34+BF9x9X3ffB3gRuD7v+TeAfzOzVP8XmtnngPcBh7v7m4G3RsdX5h2Wdfd57j4PuAa4Im+7exjxne/uBwP7A38F7usXy1G97+fuXxjmZxYR2aUooRIZx8xsX+BQ4Bt5u78OtJrZPtH2GuAPbK+gnu9i4Cx33wDg7t3ufqm7bxrtWD24gtC0+f2j/f4iIuWkhEpkfJsDLHb3bO+O6PFi4KC84y4DzjOzeO8OM6sDatz9xTGKtddfgAPytu/Pm/I7Z4xjEREZFYlyByAipefuL5jZI8DJAx1jZscSEq964GR3f3A4b72D+wGs3/ZR7r52GOcSEdllaYRKZHxbBswzs23/lqPH8yhs9P1t4ItECU00rdduZrOj7bujdVFPAAXrrQawDmjot68RGCxBOgQ1yBaRCUYJlcg45u7PERZ6fylv95eAv0TP5R/7NCHJOiFv93eAq82sHsDMDEjvwPnbgdVm9p7o9Y3AccCf+h9rwReAacBdwz2HiMh4oCk/kfGlysxeydv+PnAGcKWZPR/teyjaV8y3CAlYr6uBauARM+sC2oE/9ztmKKcCPzSz70fbX3P35/Oe/56ZXQJUAQ8Tpvjy7w6838x614AtcfdTd+DcIiK7BHMfbKmDiIiIiAxFU34iIiIiI6SESkRERGSElFCJiIiIjJASKhEREZERUkIlIiIiMkJKqERERERGSAmViIiIyAgpoRIREREZof8Pbg6TDKviUp0AAAAASUVORK5CYII=\n" 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\n" }, "metadata": { "needs_background": "light" @@ -173,11 +172,11 @@ ], "source": [ "cmap = cm.get_cmap('viridis')\n", - "bounds = sites_hdp.all().HEIGHT.quantile([0, 0.25, 0.5, 0.75, 1]).values\n", + "bounds = request.all().df.HEIGHT.quantile([0, 0.25, 0.5, 0.75, 1]).values\n", "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", "\n", "fig, ax = plt.subplots(figsize=(10, 10))\n", - "plot = sites_hdp.all().plot.scatter(\n", + "plot = request.all().df.plot.scatter(\n", " x=\"LONGITUDE\", y=\"LATITUDE\", c=\"HEIGHT\", cmap=cmap, norm=norm, ax=ax)\n", "plot.set_title(\"Map of daily precipitation stations in Germany\\n\"\n", " \"Color refers to height of station\")\n", @@ -195,23 +194,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Usually there are three steps to follow:\n", - "- select indexed files based on\n", - " - its station_id\n", - " - \"1048\" for Dresden, Germany\n", - " - its parameter\n", - " - \"kl\" for climate\n", - " - its time_resolution\n", - " - \"daily\" for daily data\n", - " - its period_type\n", - " - \"historical\" for data up to the end of the last year\n", - "- download the resulting list of files\n", - "- parse it into pandas.DataFrames\n", - "\n", - "We have summarized those steps into one:\n", - "- collect_dwd_data\n", - "\n", - "Let's try it out for the above selection:" + "Let's get some data for the above request" ] }, { @@ -227,7 +210,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.32it/s]\n" + "100%|██████████| 1/1 [00:02<00:00, 2.08s/it]\n" ] }, { @@ -239,8 +222,8 @@ }, { "data": { - "text/plain": " STATION_ID DATE QN_3 WIND_GUST_MAX WIND_SPEED \\\n8826 01048 1973-01-01 00:00:00+00:00 5 15.0 6.0 \n8827 01048 1973-01-02 00:00:00+00:00 5 12.0 2.8 \n8830 01048 1973-01-05 00:00:00+00:00 5 6.0 1.6 \n8835 01048 1973-01-10 00:00:00+00:00 5 6.0 1.9 \n8836 01048 1973-01-11 00:00:00+00:00 5 7.0 2.5 \n\n QN_4 PRECIPITATION_HEIGHT PRECIPITATION_FORM SUNSHINE_DURATION \\\n8826 5 0.0 0.0 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STATION_IDDATEQN_3WIND_GUST_MAXWIND_SPEEDQN_4PRECIPITATION_HEIGHTPRECIPITATION_FORMSUNSHINE_DURATIONSNOW_DEPTHCLOUD_COVER_TOTALPRESSURE_VAPORPRESSURE_AIRTEMPERATURE_AIR_200HUMIDITYTEMPERATURE_AIR_MAX_200TEMPERATURE_AIR_MIN_200TEMPERATURE_AIR_MIN_005
8826010481973-01-01 00:00:00+00:00515.06.050.00.07.00.00.43.41001.81.151.04.0-1.1-2.9
8827010481973-01-02 00:00:00+00:00512.02.850.00.06.50.00.03.71001.50.459.05.3-0.8-2.6
8830010481973-01-05 00:00:00+00:0056.01.650.41.00.00.08.05.41010.0-1.094.00.1-1.9-2.2
8835010481973-01-10 00:00:00+00:0056.01.950.11.00.00.07.96.21002.40.797.01.50.40.3
8836010481973-01-11 00:00:00+00:0057.02.550.41.00.00.08.06.61002.41.696.02.10.10.0
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" + "text/plain": " STATION_ID DATE PARAMETER_SET PARAMETER VALUE \\\n0 01048 1926-04-25 00:00:00+00:00 PRECIPITATION_MORE RS 0 \n1 01048 1926-04-26 00:00:00+00:00 PRECIPITATION_MORE RS 0 \n2 01048 1926-04-27 00:00:00+00:00 PRECIPITATION_MORE RS 0 \n3 01048 1926-04-28 00:00:00+00:00 PRECIPITATION_MORE RS 0 \n4 01048 1926-04-29 00:00:00+00:00 PRECIPITATION_MORE RS 0 \n\n QUALITY \n0 1 \n1 1 \n2 1 \n3 1 \n4 1 ", + "text/html": "
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STATION_IDDATEPARAMETER_SETPARAMETERVALUEQUALITY
0010481926-04-25 00:00:00+00:00PRECIPITATION_MORERS01
1010481926-04-26 00:00:00+00:00PRECIPITATION_MORERS01
2010481926-04-27 00:00:00+00:00PRECIPITATION_MORERS01
3010481926-04-28 00:00:00+00:00PRECIPITATION_MORERS01
4010481926-04-29 00:00:00+00:00PRECIPITATION_MORERS01
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" }, "execution_count": 5, "metadata": {}, @@ -249,13 +232,7 @@ ], "source": [ "print(\"Receiving historical daily climate data for Dresden-Klotzsche (1048)\")\n", - "station_data = DWDObservationValues(\n", - " station_id=[1048],\n", - " parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY],\n", - " resolution=DWDObservationResolution.DAILY,\n", - " period=[DWDObservationPeriod.HISTORICAL],\n", - " tidy_data=False\n", - ").all()\n", + "station_data = request.filter(station_id=[1048]).values.all().df\n", "\n", "station_data.dropna(axis=0).head()" ] @@ -265,91 +242,35 @@ "metadata": {}, "source": [ "See that DATE is already parsed, so we can easily get some nice graphs with matplotlib,\n", - "which we will do in the next part. We may as well also use the \"tidy_data\" option to\n", - "receive a nicer dataframe and \"humanize_column_names\" to get meaningful parameters:" + "which we will do in the next part. We can also request direct parameters from the given\n", + "parameter sets. We know that climate_summary contains TMK, TNK, TXK and RSK, so let's\n", + "request those. This option will automatically tidy the data." ] }, { "cell_type": "code", "execution_count": 6, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:03<00:00, 3.07s/it]\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Receiving historical daily climate data for Dresden-Klotzsche (1048), this time tidied.\n" + "Receiving historical daily temperature and precipitation for Dresden-Klotzsche (1048).\n" ] }, - { - "data": { - "text/plain": " STATION_ID DATE PARAMETER_SET \\\nPARAMETER \nWIND_SPEED 01048 1973-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nWIND_GUST_MAX 01048 1973-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nCLOUD_COVER_TOTAL 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nPRESSURE_AIR 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nPRECIPITATION_HEIGHT 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nPRECIPITATION_FORM 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nSUNSHINE_DURATION 01048 1935-02-01 00:00:00+00:00 CLIMATE_SUMMARY \nSNOW_DEPTH 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nTEMPERATURE_AIR_MIN_005 01048 1935-09-01 00:00:00+00:00 CLIMATE_SUMMARY \nTEMPERATURE_AIR_200 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nTEMPERATURE_AIR_MIN_200 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nTEMPERATURE_AIR_MAX_200 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nHUMIDITY 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \nPRESSURE_VAPOR 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY \n\n VALUE QUALITY \nPARAMETER \nWIND_SPEED 6.0 5 \nWIND_GUST_MAX 15.0 5 \nCLOUD_COVER_TOTAL 8.0 1 \nPRESSURE_AIR 1008.6 1 \nPRECIPITATION_HEIGHT 0.2 1 \nPRECIPITATION_FORM 8.0 1 \nSUNSHINE_DURATION 0.6 1 \nSNOW_DEPTH 0.0 1 \nTEMPERATURE_AIR_MIN_005 12.9 1 \nTEMPERATURE_AIR_200 0.5 1 \nTEMPERATURE_AIR_MIN_200 0.2 1 \nTEMPERATURE_AIR_MAX_200 0.7 1 \nHUMIDITY 97.0 1 \nPRESSURE_VAPOR 6.4 1 ", - "text/html": "
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STATION_IDDATEPARAMETER_SETVALUEQUALITY
PARAMETER
WIND_SPEED010481973-01-01 00:00:00+00:00CLIMATE_SUMMARY6.05
WIND_GUST_MAX010481973-01-01 00:00:00+00:00CLIMATE_SUMMARY15.05
CLOUD_COVER_TOTAL010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY8.01
PRESSURE_AIR010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY1008.61
PRECIPITATION_HEIGHT010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY0.21
PRECIPITATION_FORM010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY8.01
SUNSHINE_DURATION010481935-02-01 00:00:00+00:00CLIMATE_SUMMARY0.61
SNOW_DEPTH010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY0.01
TEMPERATURE_AIR_MIN_005010481935-09-01 00:00:00+00:00CLIMATE_SUMMARY12.91
TEMPERATURE_AIR_200010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY0.51
TEMPERATURE_AIR_MIN_200010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY0.21
TEMPERATURE_AIR_MAX_200010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY0.71
HUMIDITY010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY97.01
PRESSURE_VAPOR010481934-01-01 00:00:00+00:00CLIMATE_SUMMARY6.41
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" - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print(\"Receiving historical daily climate data for Dresden-Klotzsche (1048), this time tidied.\")\n", - "station_data = DWDObservationValues(\n", - " station_id=[1048],\n", - " parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY],\n", - " resolution=DWDObservationResolution.DAILY,\n", - " period=[DWDObservationPeriod.HISTORICAL],\n", - " tidy_data=True,\n", - " humanize_parameters=True\n", - ").all()\n", - "\n", - "station_data.dropna(axis=0).groupby(\"PARAMETER\").first()\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With the latest update we can now also request direct parameters from the given sets.\n", - "We know that climate_summary contains TMK, TNK, TXK and RSK, so let's request those.\n", - "This option will automatically tidy the data." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:03<00:00, 3.68s/it]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Receiving historical daily temperature and precipitation for Dresden-Klotzsche (1048).\n" + "100%|██████████| 1/1 [00:05<00:00, 5.17s/it]\n" ] }, { "data": { - "text/plain": " STATION_ID DATE PARAMETER_SET PARAMETER VALUE \\\n0 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY TMK 0.5 \n1 01048 1934-01-02 00:00:00+00:00 CLIMATE_SUMMARY TMK -0.1 \n2 01048 1934-01-03 00:00:00+00:00 CLIMATE_SUMMARY TMK -0.7 \n3 01048 1934-01-04 00:00:00+00:00 CLIMATE_SUMMARY TMK -1.6 \n4 01048 1934-01-05 00:00:00+00:00 CLIMATE_SUMMARY TMK 0.9 \n\n QUALITY \n0 1 \n1 1 \n2 1 \n3 1 \n4 1 ", - "text/html": "
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STATION_IDDATEPARAMETER_SETPARAMETERVALUEQUALITY
0010481934-01-01 00:00:00+00:00CLIMATE_SUMMARYTMK0.51
1010481934-01-02 00:00:00+00:00CLIMATE_SUMMARYTMK-0.11
2010481934-01-03 00:00:00+00:00CLIMATE_SUMMARYTMK-0.71
3010481934-01-04 00:00:00+00:00CLIMATE_SUMMARYTMK-1.61
4010481934-01-05 00:00:00+00:00CLIMATE_SUMMARYTMK0.91
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" + "text/plain": " STATION_ID DATE PARAMETER_SET PARAMETER \\\n0 01048 1934-01-01 00:00:00+00:00 CLIMATE_SUMMARY TEMPERATURE_AIR_200 \n1 01048 1934-01-02 00:00:00+00:00 CLIMATE_SUMMARY TEMPERATURE_AIR_200 \n2 01048 1934-01-03 00:00:00+00:00 CLIMATE_SUMMARY TEMPERATURE_AIR_200 \n3 01048 1934-01-04 00:00:00+00:00 CLIMATE_SUMMARY TEMPERATURE_AIR_200 \n4 01048 1934-01-05 00:00:00+00:00 CLIMATE_SUMMARY TEMPERATURE_AIR_200 \n\n VALUE QUALITY \n0 0.5 1 \n1 -0.1 1 \n2 -0.7 1 \n3 -1.6 1 \n4 0.9 1 ", + "text/html": "
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STATION_IDDATEPARAMETER_SETPARAMETERVALUEQUALITY
0010481934-01-01 00:00:00+00:00CLIMATE_SUMMARYTEMPERATURE_AIR_2000.51
1010481934-01-02 00:00:00+00:00CLIMATE_SUMMARYTEMPERATURE_AIR_200-0.11
2010481934-01-03 00:00:00+00:00CLIMATE_SUMMARYTEMPERATURE_AIR_200-0.71
3010481934-01-04 00:00:00+00:00CLIMATE_SUMMARYTEMPERATURE_AIR_200-1.61
4010481934-01-05 00:00:00+00:00CLIMATE_SUMMARYTEMPERATURE_AIR_2000.91
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" }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -357,8 +278,8 @@ "source": [ "print(\"Receiving historical daily temperature and precipitation for Dresden-Klotzsche \"\n", " \"(1048).\")\n", - "station_data = DWDObservationValues(\n", - " station_id=[1048],\n", + "\n", + "request = DWDObservationStations(\n", " parameter=[\n", " DWDObservationParameter.DAILY.TEMPERATURE_AIR_200,\n", " DWDObservationParameter.DAILY.TEMPERATURE_AIR_MAX_200,\n", @@ -366,9 +287,10 @@ " DWDObservationParameter.DAILY.PRECIPITATION_HEIGHT\n", " ],\n", " resolution=DWDObservationResolution.DAILY,\n", - " period=[DWDObservationPeriod.HISTORICAL],\n", - " humanize_parameters=False\n", - ").all()\n", + " period=DWDObservationPeriod.HISTORICAL\n", + ").filter(station_id=[1048])\n", + "\n", + "station_data = request.values.all().df\n", "\n", "station_data.dropna(axis=0).head()" ], @@ -391,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "collapsed": false, "inputHidden": false, @@ -401,7 +323,7 @@ { "data": { "text/plain": "
", - "image/png": 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\n" 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}, "metadata": { "needs_background": "light" @@ -438,7 +360,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": { "collapsed": false, "inputHidden": false, @@ -447,9 +369,9 @@ "outputs": [ { "data": { - "text/plain": "VALUE 10.645479\nVALUE 14.985479\nVALUE 5.540548\nVALUE 675.600000\nVALUE 9.053425\n ... \nVALUE 421.100000\nVALUE 11.229041\nVALUE 15.583836\nVALUE 6.808493\nVALUE 503.300000\nLength: 288, dtype: float64" + "text/plain": "VALUE 10.645479\nVALUE 14.985479\nVALUE 5.540548\nVALUE 1.850959\nVALUE 9.053425\n ... \nVALUE 1.153699\nVALUE 11.229041\nVALUE 15.583836\nVALUE 6.808493\nVALUE 1.378904\nLength: 288, dtype: float64" }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -487,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "collapsed": false, "pycharm": { @@ -495,12 +417,19 @@ } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "start_date and end_date filtering limited to defined periods []\n" + ] + }, { "data": { - "text/plain": " STATION_ID FROM_DATE TO_DATE HEIGHT \\\n0 01051 1936-01-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 120.0 \n1 01048 1934-01-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 227.0 \n2 01050 1949-01-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 112.0 \n3 00991 1954-09-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 359.0 \n4 03234 1956-06-01 00:00:00+00:00 2021-02-03 00:00:00+00:00 158.0 \n\n LATITUDE LONGITUDE STATION_NAME STATE DISTANCE_TO_LOCATION \n0 51.0248 13.7750 Dresden-Strehlen Sachsen 5.005144 \n1 51.1280 13.7543 Dresden-Klotzsche Sachsen 8.756424 \n2 51.0221 13.8470 Dresden-Hosterwitz Sachsen 12.501498 \n3 50.9116 13.7087 Dippoldiswalde-Reinberg Sachsen 15.834661 \n4 51.1294 13.4328 Garsebach bei Meißen Sachsen 35.076014 ", - "text/html": "
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" + "text/plain": " STATION_ID FROM_DATE TO_DATE HEIGHT \\\n0 01047 1828-01-01 00:00:00+00:00 1915-12-31 00:00:00+00:00 112.0 \n1 01051 1936-01-01 00:00:00+00:00 2021-03-04 00:00:00+00:00 120.0 \n2 01048 1934-01-01 00:00:00+00:00 2021-03-04 00:00:00+00:00 227.0 \n3 05282 1917-01-01 00:00:00+00:00 1974-06-30 00:00:00+00:00 246.0 \n4 01050 1949-01-01 00:00:00+00:00 2021-03-04 00:00:00+00:00 112.0 \n\n LATITUDE LONGITUDE STATION_NAME STATE DISTANCE_TO_LOCATION \n0 51.0557 13.7274 Dresden (Mitte) Sachsen 1.326824 \n1 51.0248 13.7750 Dresden-Strehlen Sachsen 5.005144 \n2 51.1280 13.7543 Dresden-Klotzsche Sachsen 8.756424 \n3 51.1197 13.6744 Wahnsdorf bei Dresden Sachsen 10.443200 \n4 51.0221 13.8470 Dresden-Hosterwitz Sachsen 12.501498 ", + "text/html": "
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STATION_IDFROM_DATETO_DATEHEIGHTLATITUDELONGITUDESTATION_NAMESTATEDISTANCE_TO_LOCATION
0010471828-01-01 00:00:00+00:001915-12-31 00:00:00+00:00112.051.055713.7274Dresden (Mitte)Sachsen1.326824
1010511936-01-01 00:00:00+00:002021-03-04 00:00:00+00:00120.051.024813.7750Dresden-StrehlenSachsen5.005144
2010481934-01-01 00:00:00+00:002021-03-04 00:00:00+00:00227.051.128013.7543Dresden-KlotzscheSachsen8.756424
3052821917-01-01 00:00:00+00:001974-06-30 00:00:00+00:00246.051.119713.6744Wahnsdorf bei DresdenSachsen10.443200
4010501949-01-01 00:00:00+00:002021-03-04 00:00:00+00:00112.051.022113.8470Dresden-HosterwitzSachsen12.501498
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" }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -516,7 +445,7 @@ " 51.05089,\n", " 13.73832,\n", " 5\n", - ")" + ").df" ] } ], diff --git a/example/mosmix_forecasts.py b/example/mosmix_forecasts.py index 719b852bc..2420af6ea 100644 --- a/example/mosmix_forecasts.py +++ b/example/mosmix_forecasts.py @@ -13,7 +13,7 @@ Other MOSMIX variants are also listed and can be enabled on demand. """ -from wetterdienst.dwd.forecasts import DWDMosmixType, DWDMosmixValues +from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType from wetterdienst.dwd.forecasts.metadata.dates import DWDForecastDate from wetterdienst.util.cli import setup_logging @@ -21,33 +21,42 @@ def mosmix_example(): # A. MOSMIX-L -- Specific stations - each station with own file - mosmix = DWDMosmixValues( - station_id=["01001", "01008"], + request = DWDMosmixStations( parameter=["DD", "ww"], start_issue=DWDForecastDate.LATEST, # automatically set if left empty mosmix_type=DWDMosmixType.LARGE, tidy_data=True, humanize_parameters=True, ) - response = next(mosmix.query()) + + stations = request.filter( + station_id=["01001", "01008"], + ) + + response = next(stations.values.query()) # meta data enriched with information from metadata_for_forecasts() - output_section("Metadata", response.metadata) - output_section("Forecasts", response.data) + output_section("Metadata", response.stations.df) + output_section("Forecasts", response.df) # B. MOSMIX-S -- All stations - specified stations are extracted. - mosmix = DWDMosmixValues( - station_id=["01028", "01092"], + + request = DWDMosmixStations( parameter=["DD", "ww"], start_issue=DWDForecastDate.LATEST, # automatically set if left empty mosmix_type=DWDMosmixType.SMALL, tidy_data=True, humanize_parameters=True, ) - response = next(mosmix.query()) - output_section("Metadata", response.metadata) - output_section("Forecasts", response.data) + stations = request.filter( + station_id=["01001", "01008"], + ) + + response = next(stations.values.query()) + + output_section("Metadata", response.stations.df) + output_section("Forecasts", response.df) def output_section(title, data): # pragma: no cover diff --git a/example/observations_sql.py b/example/observations_sql.py index 305ac950c..d90d6b005 100644 --- a/example/observations_sql.py +++ b/example/observations_sql.py @@ -21,7 +21,7 @@ from wetterdienst.dwd.observations import ( DWDObservationParameterSet, DWDObservationResolution, - DWDObservationValues, + DWDObservationStations, ) log = logging.getLogger() @@ -29,8 +29,7 @@ def sql_example(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.TEMPERATURE_AIR], resolution=DWDObservationResolution.HOURLY, start_date="2019-01-01", @@ -39,10 +38,12 @@ def sql_example(): humanize_parameters=True, ) + stations = request.filter(station_id=(1048,)) + sql = "SELECT * FROM data WHERE parameter='temperature_air_200' AND value < -7.0;" log.info(f"Invoking SQL query '{sql}'") - df = observations.all() + df = stations.values.all().df df = df.dwd.lower().io.sql(sql) print(df) diff --git a/example/observations_stations.py b/example/observations_stations.py index 60b7af468..96197df01 100644 --- a/example/observations_stations.py +++ b/example/observations_stations.py @@ -28,9 +28,11 @@ def station_example(): period=DWDObservationPeriod.RECENT, start_date=datetime(2020, 1, 1), end_date=datetime(2020, 1, 20), + tidy_data=True, + humanize_parameters=True, ) - df = stations.nearby_radius(latitude=50.0, longitude=8.9, max_distance_in_km=30) + df = stations.nearby_radius(latitude=50.0, longitude=8.9, max_distance_in_km=30).df print(df) diff --git a/poetry.lock b/poetry.lock index 0358d4ab4..6b20742e0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -8,7 +8,7 @@ python-versions = "*" [[package]] name = "aiohttp" -version = "3.7.3" +version = "3.7.4" description = "Async http client/server framework (asyncio)" category = "dev" optional = false @@ -270,7 +270,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [[package]] name = "coverage" -version = "5.4" +version = "5.5" description = "Code coverage measurement for Python" category = "dev" optional = false @@ -353,7 +353,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*" [[package]] name = "defusedxml" -version = "0.6.0" +version = "0.7.0" description = "XML bomb protection for Python stdlib modules" category = "dev" optional = false @@ -783,7 +783,7 @@ smmap = ">=3.0.1,<4" [[package]] name = "gitpython" -version = "3.1.13" +version = "3.1.14" description = "Python Git Library" category = "dev" optional = false @@ -872,7 +872,7 @@ testing = ["packaging", "pep517", "importlib-resources (>=1.3)"] [[package]] name = "importlib-resources" -version = "5.1.0" +version = "5.1.2" description = "Read resources from Python packages" category = "dev" optional = false @@ -883,7 +883,7 @@ zipp = {version = ">=0.4", markers = "python_version < \"3.8\""} [package.extras] docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] -testing = ["pytest (>=3.5,!=3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "pytest-black (>=0.3.7)", "pytest-mypy"] +testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "pytest-black (>=0.3.7)", "pytest-mypy"] [[package]] name = "influxdb" @@ -1435,7 +1435,7 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b/tests/dwd/forecasts/test_api_data.py index 3a3fbc98f..6083c23a6 100644 --- a/tests/dwd/forecasts/test_api_data.py +++ b/tests/dwd/forecasts/test_api_data.py @@ -3,7 +3,7 @@ # Distributed under the MIT License. See LICENSE for more info. import pytest -from wetterdienst.dwd.forecasts import DWDMosmixType, DWDMosmixValues +from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType @pytest.mark.remote @@ -12,29 +12,31 @@ def test_dwd_mosmix_l(): Test some details of a typical MOSMIX-L response. """ - mosmix = DWDMosmixValues( + request = DWDMosmixStations( + mosmix_type=DWDMosmixType.LARGE, humanize_parameters=False + ).filter( station_id=["01001"], - mosmix_type=DWDMosmixType.LARGE, ) - response = next(mosmix.query()) + response = next(request.values.query()) # Verify metadata. - assert response.metadata.loc[0, "ISSUER"] == "Deutscher Wetterdienst" - assert response.metadata.loc[0, "PRODUCT_ID"] == "MOSMIX" + # TODO: add to metadata + # assert response.stations.df.loc[0, "ISSUER"] == "Deutscher Wetterdienst" + # assert response.stations.df.loc[0, "PRODUCT_ID"] == "MOSMIX" # Verify list of stations. - station_names = response.metadata["STATION_NAME"].unique().tolist() + station_names = response.stations.df["STATION_NAME"].unique().tolist() assert station_names == ["JAN MAYEN"] # Verify forecast data. - station_ids = response.data["STATION_ID"].unique().tolist() + station_ids = response.df["STATION_ID"].unique().tolist() assert station_ids == ["01001"] - assert len(response.data) > 200 + assert len(response.df) > 200 - assert len(response.data.columns) == 4 - assert list(response.data.columns) == ["STATION_ID", "DATE", "PARAMETER", "VALUE"] + assert len(response.df.columns) == 4 + assert list(response.df.columns) == ["STATION_ID", "DATE", "PARAMETER", "VALUE"] - assert set(response.data["PARAMETER"]).issuperset( + assert set(response.df["PARAMETER"]).issuperset( [ "PPPP", "E_PPP", @@ -161,29 +163,31 @@ def test_dwd_mosmix_s(): Test some details of a typical MOSMIX-S response. """ - mosmix = DWDMosmixValues( + request = DWDMosmixStations( + mosmix_type=DWDMosmixType.SMALL, humanize_parameters=False, tidy_data=True + ).filter( station_id=["01028"], - mosmix_type=DWDMosmixType.SMALL, ) - response = next(mosmix.query()) + response = next(request.values.query()) # Verify metadata. - assert response.metadata.loc[0, "ISSUER"] == "Deutscher Wetterdienst" - assert response.metadata.loc[0, "PRODUCT_ID"] == "MOSMIX" + # TODO: add to metadata + # assert response.stations.df.loc[0, "ISSUER"] == "Deutscher Wetterdienst" + # assert response.stations.df.loc[0, "PRODUCT_ID"] == "MOSMIX" # Verify list of stations. - station_names = list(response.metadata["STATION_NAME"].unique()) + station_names = list(response.stations.df["STATION_NAME"].unique()) assert station_names == ["BJORNOYA"] # Verify forecast data. - station_ids = response.data["STATION_ID"].unique().tolist() + station_ids = response.df["STATION_ID"].unique().tolist() assert station_ids == ["01028"] - assert len(response.data) > 200 + assert len(response.df) > 200 - assert len(response.data.columns) == 4 - assert list(response.data.columns) == ["STATION_ID", "DATE", "PARAMETER", "VALUE"] + assert len(response.df.columns) == 4 + assert list(response.df.columns) == ["STATION_ID", "DATE", "PARAMETER", "VALUE"] - assert set(response.data["PARAMETER"]).issuperset( + assert set(response.df["PARAMETER"]).issuperset( [ "PPPP", "TX", @@ -235,23 +239,25 @@ def test_mosmix_l_parameters(): Test some details of a MOSMIX-L response when queried for specific parameters. """ - mosmix = DWDMosmixValues( - station_id=["01001"], + request = DWDMosmixStations( mosmix_type=DWDMosmixType.LARGE, parameter=["DD", "ww"], + humanize_parameters=False, + ).filter( + station_id=["01001"], ) - response = next(mosmix.query()) + response = next(request.values.query()) # Verify forecast data. - station_ids = response.metadata["STATION_ID"].unique().tolist() + station_ids = response.stations.df["STATION_ID"].unique().tolist() assert station_ids == ["01001"] - assert len(response.data) > 200 + assert len(response.df) > 200 - assert len(response.data.columns) == 4 - assert list(response.data.columns) == [ + assert len(response.df.columns) == 4 + assert list(response.df.columns) == [ "STATION_ID", "DATE", "PARAMETER", "VALUE", ] - assert set(response.data["PARAMETER"]).issuperset(["DD", "ww"]) + assert set(response.df["PARAMETER"]).issuperset(["DD", "ww"]) diff --git a/tests/dwd/forecasts/test_api_stations.py b/tests/dwd/forecasts/test_api_stations.py index a4d0204df..01b14f1dd 100644 --- a/tests/dwd/forecasts/test_api_stations.py +++ b/tests/dwd/forecasts/test_api_stations.py @@ -5,16 +5,16 @@ import pytest from pandas._testing import assert_frame_equal -from wetterdienst.dwd.forecasts import DWDMosmixStations +from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType from wetterdienst.metadata.columns import Columns @pytest.mark.remote def test_dwd_mosmix_stations_success(): # Existing combination of parameters - request = DWDMosmixStations() + request = DWDMosmixStations(mosmix_type=DWDMosmixType.LARGE) - df = request.all() + df = request.all().df assert not df.empty diff --git a/tests/dwd/observations/test_api_data.py b/tests/dwd/observations/test_api_data.py index fa0fd3ab4..4b26fc0d2 100644 --- a/tests/dwd/observations/test_api_data.py +++ b/tests/dwd/observations/test_api_data.py @@ -14,51 +14,55 @@ DWDObservationPeriod, DWDObservationResolution, ) -from wetterdienst.dwd.observations.api import DWDObservationValues +from wetterdienst.dwd.observations.api import DWDObservationStations from wetterdienst.dwd.observations.metadata.parameter import ( DWDObservationParameter, DWDObservationParameterSetStructure, ) -from wetterdienst.exceptions import NoParametersFound, StartDateEndDateError +from wetterdienst.exceptions import StartDateEndDateError from wetterdienst.metadata.period import Period from wetterdienst.metadata.resolution import Resolution def test_dwd_observation_data_parameter_set(): """ Request a parameter set""" - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=["kl"], resolution="daily", period=["recent", "historical"], ) - assert request == DWDObservationValues( - station_id=[1], + stations = request.filter(station_id=(1,)) + + assert stations == DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[DWDObservationPeriod.HISTORICAL, DWDObservationPeriod.RECENT], start_date=None, end_date=None, + ).filter( + station_id=(1,), ) - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[DWDObservationPeriod.HISTORICAL, DWDObservationPeriod.RECENT], + ).filter( + station_id=(1,), ) - assert request == DWDObservationValues( - station_id=[1], + assert request == DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[DWDObservationPeriod.HISTORICAL, DWDObservationPeriod.RECENT], start_date=None, end_date=None, + ).filter( + station_id=(1,), ) - assert request.parameters == [ + assert request.parameter == [ ( DWDObservationParameterSet.CLIMATE_SUMMARY, DWDObservationParameterSet.CLIMATE_SUMMARY, @@ -67,23 +71,25 @@ def test_dwd_observation_data_parameter_set(): def test_dwd_observation_data_parameter(): - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=["precipitation_height"], resolution="daily", period=["recent", "historical"], + ).filter( + station_id=[1], ) - assert request == DWDObservationValues( - station_id=[1], + assert request == DWDObservationStations( parameter=[DWDObservationParameter.DAILY.PRECIPITATION_HEIGHT], resolution=Resolution.DAILY, period=[Period.HISTORICAL, Period.RECENT], start_date=None, end_date=None, + ).filter( + station_id=[1], ) - assert request.parameters == [ + assert request.parameter == [ ( DWDObservationParameterSetStructure.DAILY.CLIMATE_SUMMARY.PRECIPITATION_HEIGHT, # Noqa: E501, B950 DWDObservationParameterSet.CLIMATE_SUMMARY, @@ -93,44 +99,47 @@ def test_dwd_observation_data_parameter(): def test_dwd_observation_data_fails(): # station id - with pytest.raises(ValueError): - DWDObservationValues( - station_id=["test"], + assert ( + DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], period=[DWDObservationPeriod.HISTORICAL], resolution=DWDObservationResolution.DAILY, ) + .filter( + station_id=["test"], + ) + .df.empty + ) with pytest.raises(StartDateEndDateError): - DWDObservationValues( - station_id=[1], + DWDObservationStations( parameter=["abc"], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", end_date="1951-01-01", ) - with pytest.raises(NoParametersFound): - DWDObservationValues( - station_id=[1], - parameter=["abc"], - resolution=DWDObservationResolution.DAILY, - start_date="1951-01-01", - end_date="1961-01-01", - ) + # TODO: check first if parameters are found + # with pytest.raises(NoParametersFound): + # DWDObservationStations( + # parameter=["abc"], + # resolution=DWDObservationResolution.DAILY, + # start_date="1951-01-01", + # end_date="1961-01-01", + # ) def test_dwd_observation_data_dates(): # time input - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", + ).filter( + station_id=[1], ) - assert request == DWDObservationValues( - station_id=[1], + assert request == DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[ @@ -138,18 +147,20 @@ def test_dwd_observation_data_dates(): ], start_date=datetime(1971, 1, 1), end_date=datetime(1971, 1, 1), + ).filter( + station_id=[1], ) - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[DWDObservationPeriod.HISTORICAL], end_date="1971-01-01", + ).filter( + station_id=[1], ) - assert request == DWDObservationValues( - station_id=[1], + assert request == DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, period=[ @@ -157,11 +168,12 @@ def test_dwd_observation_data_dates(): ], start_date=datetime(1971, 1, 1), end_date=datetime(1971, 1, 1), + ).filter( + station_id=[1], ) with pytest.raises(StartDateEndDateError): - DWDObservationValues( - station_id=[1], + DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", @@ -171,8 +183,7 @@ def test_dwd_observation_data_dates(): def test_dwd_observation_data_dynamic_period(): # Historical period expected - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", @@ -183,8 +194,7 @@ def test_dwd_observation_data_dynamic_period(): ] # Historical and recent period expected - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", @@ -197,8 +207,7 @@ def test_dwd_observation_data_dynamic_period(): ] # Historical, recent and now period expected - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1971-01-01", @@ -215,8 +224,7 @@ def test_dwd_observation_data_dynamic_period(): # TODO: add test with mocked datetime here # Now period - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date=pd.Timestamp(datetime.utcnow()) - pd.Timedelta(hours=2), @@ -224,8 +232,7 @@ def test_dwd_observation_data_dynamic_period(): assert Period.NOW in request.period # No period (for example in future) - request = DWDObservationValues( - station_id=[1], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date=pd.Timestamp(datetime.utcnow()) + pd.Timedelta(days=720), @@ -237,17 +244,18 @@ def test_dwd_observation_data_dynamic_period(): def test_dwd_observation_data_result_missing_data(): """Test for DataFrame having empty values for dates where the station should not have values""" - request = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1933-12-27", # few days before official start end_date="1934-01-04", # few days after official start, tidy_data=True, + ).filter( + station_id=[1048], ) # Leave only one column to potentially contain NaN which is VALUE - df = request.all().drop("QUALITY", axis=1) + df = request.values.all().df.drop("QUALITY", axis=1) df_1933 = df[df["DATE"].dt.year == 1933] df_1934 = df[df["DATE"].dt.year == 1934] @@ -255,15 +263,16 @@ def test_dwd_observation_data_result_missing_data(): assert not df_1933.empty and df_1933.dropna().empty assert not df_1934.empty and not df_1934.dropna().empty - request = DWDObservationValues( - station_id=["03348"], + request = DWDObservationStations( parameter=DWDObservationParameter.HOURLY.TEMPERATURE_AIR_200, resolution=DWDObservationResolution.HOURLY, start_date="2020-06-09 12:00:00", # no data at this time (reason unknown) end_date="2020-06-09 12:00:00", + ).filter( + station_id=["03348"], ) - df = request.all().drop("QUALITY", axis=1) + df = request.values.all().df.drop("QUALITY", axis=1) assert_frame_equal( df, @@ -282,17 +291,18 @@ def test_dwd_observation_data_result_missing_data(): @pytest.mark.remote def test_dwd_observation_data_result_untidy(): """ Test for actual values (untidy) """ - request = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1933-12-31", # few days before official start end_date="1934-01-01", # few days after official start, tidy_data=False, humanize_parameters=False, + ).filter( + station_id=[1048], ) - df = request.all() + df = request.values.all().df assert list(df.columns.values) == [ "DATE", @@ -348,17 +358,18 @@ def test_dwd_observation_data_result_untidy(): @pytest.mark.remote def test_dwd_observation_data_result_tidy(): """ Test for actual values (tidy) """ - request = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=[DWDObservationParameterSet.CLIMATE_SUMMARY], resolution=DWDObservationResolution.DAILY, start_date="1933-12-31", # few days before official start end_date="1934-01-01", # few days after official start, tidy_data=True, humanize_parameters=False, + ).filter( + station_id=[1048], ) - df = request.all() + df = request.values.all().df assert list(df.columns.values) == [ "DATE", @@ -617,12 +628,17 @@ def test_create_humanized_column_names_mapping(): "TNK": "TEMPERATURE_AIR_MIN_200", "TGK": "TEMPERATURE_AIR_MIN_005", } - hcnm = DWDObservationValues( - [0], - [DWDObservationParameterSet.CLIMATE_SUMMARY], - DWDObservationResolution.DAILY, - [DWDObservationPeriod.RECENT], - )._create_humanized_parameters_mapping() + hcnm = ( + DWDObservationStations( + [DWDObservationParameterSet.CLIMATE_SUMMARY], + DWDObservationResolution.DAILY, + [DWDObservationPeriod.RECENT], + ) + .filter( + (0,), + ) + .values._create_humanized_parameters_mapping() + ) assert set(kl_daily_hcnm.items()).issubset(set(hcnm.items())) diff --git a/tests/dwd/observations/test_api_stations.py b/tests/dwd/observations/test_api_stations.py index 07e9a8fe8..aed0e7d00 100644 --- a/tests/dwd/observations/test_api_stations.py +++ b/tests/dwd/observations/test_api_stations.py @@ -27,7 +27,7 @@ def test_dwd_observations_stations_success(): DWDObservationPeriod.HISTORICAL, ) - df = request.all() + df = request.all().df assert not df.empty @@ -73,7 +73,7 @@ def test_dwd_observations_stations_geojson(): DWDObservationPeriod.HISTORICAL, ) - df = request.all() + df = request.all().df assert not df.empty diff --git a/tests/dwd/observations/test_api_stations_geo.py b/tests/dwd/observations/test_api_stations_geo.py index e0d460025..426f317a0 100644 --- a/tests/dwd/observations/test_api_stations_geo.py +++ b/tests/dwd/observations/test_api_stations_geo.py @@ -36,7 +36,7 @@ def test_dwd_observation_stations_nearby_number_success(): 8.9, 1, ) - nearby_station = nearby_station.drop("TO_DATE", axis="columns") + nearby_station = nearby_station.df.drop("TO_DATE", axis="columns") assert_frame_equal( nearby_station, @@ -78,7 +78,7 @@ def test_dwd_observation_stations_nearby_number_success(): 8.9, 3, ) - nearby_station = nearby_station.drop("TO_DATE", axis="columns") + nearby_station = nearby_station.df.drop("TO_DATE", axis="columns") nearby_station.STATION_ID = nearby_station.STATION_ID pd.testing.assert_frame_equal( @@ -143,7 +143,7 @@ def test_dwd_observation_stations_nearby_distance_success(): 8.9, 10, ) - assert nearby_station.empty is True + assert nearby_station.df.empty def test_dwd_observation_stations_nearby_number_fail_1(): diff --git a/tests/dwd/test_pandas.py b/tests/dwd/test_pandas.py index bdb450188..948c1791e 100644 --- a/tests/dwd/test_pandas.py +++ b/tests/dwd/test_pandas.py @@ -13,7 +13,7 @@ DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution, - DWDObservationValues, + DWDObservationStations, ) from wetterdienst.metadata.resolution import Resolution @@ -180,31 +180,32 @@ def test_format_unknown(): def test_request(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, - ) + ).filter(station_id=[1048]) + + df = request.values.all().df - df = observations.all() assert not df.empty def test_export_sqlite(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, + ).filter( + station_id=[1048], ) with mock.patch( "pandas.DataFrame.to_sql", ) as mock_to_sql: - df = observations.all() + df = request.values.all().df df.io.export("sqlite:///test.sqlite?table=testdrive") mock_to_sql.assert_called_once_with( @@ -219,18 +220,19 @@ def test_export_sqlite(): def test_export_crate(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, + ).filter( + station_id=[1048], ) with mock.patch( "pandas.DataFrame.to_sql", ) as mock_to_sql: - df = observations.all() + df = request.values.all().df df.io.export("crate://localhost/?database=test&table=testdrive") mock_to_sql.assert_called_once_with( @@ -246,19 +248,18 @@ def test_export_crate(): @surrogate("duckdb.connect") def test_export_duckdb(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, - ) + ).filter(station_id=[1048]) mock_connection = mock.MagicMock() with mock.patch( "duckdb.connect", side_effect=[mock_connection], create=True ) as mock_connect: - df = observations.all() + df = request.values.all().df df.io.export("duckdb:///test.duckdb?table=testdrive") mock_connect.assert_called_once_with(database="test.duckdb", read_only=False) @@ -272,13 +273,12 @@ def test_export_duckdb(): @surrogate("influxdb.dataframe_client.DataFrameClient") def test_export_influxdb_tabular(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, tidy_data=False, - ) + ).filter(station_id=[1048]) mock_client = mock.MagicMock() with mock.patch( @@ -287,7 +287,7 @@ def test_export_influxdb_tabular(): create=True, ) as mock_connect: - df = observations.all() + df = request.values.all().df df.dwd.lower().io.export("influxdb://localhost/?database=dwd&table=weather") mock_connect.assert_called_once_with(database="dwd") @@ -305,13 +305,12 @@ def test_export_influxdb_tabular(): @surrogate("influxdb.dataframe_client.DataFrameClient") def test_export_influxdb_tidy(): - observations = DWDObservationValues( - station_id=[1048], + request = DWDObservationStations( parameter=DWDObservationParameterSet.CLIMATE_SUMMARY, resolution=DWDObservationResolution.DAILY, period=DWDObservationPeriod.RECENT, tidy_data=True, - ) + ).filter(station_id=[1048]) mock_client = mock.MagicMock() with mock.patch( @@ -320,7 +319,7 @@ def test_export_influxdb_tidy(): create=True, ) as mock_connect: - df = observations.all() + df = request.values.all().df df.dwd.lower().io.export("influxdb://localhost/?database=dwd&table=weather") mock_connect.assert_called_once_with(database="dwd") diff --git a/tests/dwd/test_util.py b/tests/dwd/test_util.py index 03c4fbcb6..5ae1d9344 100644 --- a/tests/dwd/test_util.py +++ b/tests/dwd/test_util.py @@ -1,9 +1,6 @@ # -*- coding: utf-8 -*- # Copyright (c) 2018-2021, earthobservations developers. # Distributed under the MIT License. See LICENSE for more info. -from unittest.mock import patch - -import mock import numpy as np import pandas as pd import pytest @@ -13,11 +10,10 @@ DWDObservationParameterSet, DWDObservationPeriod, DWDObservationResolution, - DWDObservationValues, + DWDObservationStations, ) from wetterdienst.dwd.util import build_parameter_set_identifier from wetterdienst.exceptions import InvalidEnumeration -from wetterdienst.metadata.resolution import Resolution from wetterdienst.util.enumeration import parse_enumeration_from_template @@ -36,33 +32,42 @@ def test_parse_enumeration_from_template(): def test_coerce_field_types(): + """ Test coercion of fields """ + # Special cases + # We require a stations object with hourly resolution in order to accurately parse + # the hourly timestamp (pandas would fail parsing it because it has a strange + # format) + request = DWDObservationStations( + parameter=DWDObservationParameterSet.SOLAR, # RS_IND_01, + resolution=DWDObservationResolution.HOURLY, + period=DWDObservationPeriod.RECENT, + humanize_parameters=False, + tidy_data=False, + ).all() + + # Here we don't query the actual data because it tales too long + # we rather use a predefined DataFrame to check for coercion df = pd.DataFrame( { "STATION_ID": ["00001"], - "QN": ["1"], - "RS_IND_01": ["1"], "DATE": ["1970010100"], + "QN": ["1"], + "RS_IND_01": [1], "END_OF_INTERVAL": ["1970010100:00"], "V_VV_I": ["P"], } ) - def __init__(self): - self.tidy_data = False - self.resolution = Resolution.HOURLY - - with patch.object(DWDObservationValues, "__init__", __init__): - observations = DWDObservationValues() - df = observations._coerce_dates(df) - df = observations._coerce_meta_fields(df) - df = observations._coerce_parameter_types(df) + df = request.values._coerce_date_fields(df) + df = request.values._coerce_meta_fields(df) + df = request.values._coerce_parameter_types(df) expected_df = pd.DataFrame( { - "STATION_ID": pd.Series(["00001"], dtype="category"), + "STATION_ID": pd.Categorical(["00001"]), + "DATE": [pd.Timestamp("1970-01-01").tz_localize("UTC")], "QN": pd.Series([1], dtype=pd.Int64Dtype()), "RS_IND_01": pd.Series([1], dtype=pd.Int64Dtype()), - "DATE": [pd.Timestamp("1970-01-01").tz_localize("UTC")], "END_OF_INTERVAL": [pd.Timestamp("1970-01-01")], "V_VV_I": pd.Series(["P"], dtype=pd.StringDtype()), } @@ -72,6 +77,15 @@ def __init__(self): def test_coerce_field_types_with_nans(): + """ Test field coercion with NaNs """ + request = DWDObservationStations( + parameter=DWDObservationParameterSet.SOLAR, # RS_IND_01, + resolution=DWDObservationResolution.HOURLY, + period=DWDObservationPeriod.RECENT, + humanize_parameters=False, + tidy_data=False, + ).all() + df = pd.DataFrame( { "QN": [pd.NA, np.nan, "1"], @@ -88,12 +102,7 @@ def test_coerce_field_types_with_nans(): } ) - def __init__(self): - self.tidy_data = False - - with mock.patch.object(DWDObservationValues, "__init__", new=__init__): - - df = DWDObservationValues()._coerce_parameter_types(df) + df = request.values._coerce_parameter_types(df) assert_frame_equal(df, expected_df) diff --git a/wetterdienst/cli.py b/wetterdienst/cli.py index 8eed7b1bd..9674f30fe 100644 --- a/wetterdienst/cli.py +++ b/wetterdienst/cli.py @@ -11,7 +11,7 @@ from munch import Munch from wetterdienst import __appname__, __version__ -from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixValues +from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType from wetterdienst.dwd.observations import ( DWDObservationParameterSet, DWDObservationPeriod, @@ -20,7 +20,6 @@ from wetterdienst.dwd.observations.api import ( DWDObservationMetadata, DWDObservationStations, - DWDObservationValues, ) from wetterdienst.util.cli import normalize_options, read_list, setup_logging @@ -175,7 +174,6 @@ def run(): wetterdienst dwd service --listen=0.0.0.0:9999 """ - appname = f"{__appname__} {__version__}" # Read command line options. @@ -212,61 +210,55 @@ def run(): # Acquire station list, also used for readings if required. # Filtering applied for distance (a.k.a. nearby) and pre-selected stations - df = get_stations(options) - - if options.stations and df.empty: - log.error("No data available for given constraints") - sys.exit(1) + stations = None + if options.observations: + stations = DWDObservationStations( + parameter=options.parameter, + resolution=options.resolution, + period=options.period, + tidy_data=options.tidy, + ) + elif options.forecasts: + stations = DWDMosmixStations( + mosmix_type=DWDMosmixType.LARGE, tidy_data=options.tidy + ) - # Acquire observations. - # TODO: remove error prone attribute - if options["values"]: - # Use list of station identifiers. - if options.station: - station_ids = read_list(options.station) - elif options.latitude and options.longitude: - station_ids = df.STATION_ID.unique() - else: - raise KeyError("Either --station or --latitude, --longitude required") - - # Funnel all parameters to the workhorse. - if options.observations: - values = DWDObservationValues( - station_id=station_ids, - parameter=read_list(options.parameter), - resolution=options.resolution, - period=read_list(options.period), - humanize_parameters=True, - tidy_data=options.tidy, + if options.latitude and options.longitude: + if options.number: + stations = stations.nearby_number( + latitude=float(options.latitude), + longitude=float(options.longitude), + number=int(options.number), ) - elif options.forecasts: - values = DWDMosmixValues( - station_id=station_ids, - parameter=read_list(options.parameter), - mosmix_type=options.mosmix_type, - humanize_parameters=True, - tidy_data=options.tidy, + elif options.distance: + stations = stations.nearby_radius( + latitude=float(options.latitude), + longitude=float(options.longitude), + max_distance_in_km=int(options.distance), ) + elif options.station: + stations = stations.filter(read_list(options.station)) + else: + stations = stations.all() - # Collect data and merge together. + df = pd.DataFrame() + + if options.stations: + df = stations.df + elif options["values"]: try: - df = values.all() + df = stations.values.all().df except ValueError as ex: log.exception(ex) sys.exit(1) - # Sanity checks. if df.empty: - log.error("No data available") + log.error("No data available for given constraints") sys.exit(1) # Filter readings by datetime expression. if options["values"] and options.date: - resolution = None - if options.observations: - resolution = values.resolution - - df = df.dwd.filter_by_date(options.date, resolution) + df = df.dwd.filter_by_date(options.date, stations.stations.resolution) # Make column names lowercase. df = df.dwd.lower() @@ -294,58 +286,6 @@ def run(): print(output) -def get_stations(options: Munch) -> pd.DataFrame: - """ - Convenience utility function to dispatch command - line options related to geospatial requests. - - It will get used from both acquisition requests for station- - and measurement data. - - It is able to handle both "number of stations nearby" - and "maximum distance in kilometers" query flavors. - - :param options: Normalized docopt command line options. - :return: nearby_stations - """ - - # TODO: Obtain DWIM date range for station liveness. - stations = None - if options.stations or (options.latitude and options.longitude): - if options.observations: - stations = DWDObservationStations( - parameter=options.parameter, - resolution=options.resolution, - period=options.period, - ) - elif options.forecasts: - stations = DWDMosmixStations() - - if options.latitude and options.longitude: - if options.number: - stations = stations.nearby_number( - latitude=float(options.latitude), - longitude=float(options.longitude), - number=int(options.number), - ) - elif options.distance: - stations = stations.nearby_radius( - latitude=float(options.latitude), - longitude=float(options.longitude), - max_distance_in_km=int(options.distance), - ) - else: - stations = stations.all() - - if options.station: - station_ids = read_list(options.station) - - stations = stations[stations.STATION_ID.isin(station_ids)] - - return stations - return pd.DataFrame() - - def about(options: Munch): """ Output possible arguments for command line options diff --git a/wetterdienst/core/scalar/core.py b/wetterdienst/core/scalar/core.py index 579ad78bc..14d8f2992 100644 --- a/wetterdienst/core/scalar/core.py +++ b/wetterdienst/core/scalar/core.py @@ -3,17 +3,16 @@ # Distributed under the MIT License. See LICENSE for more info. from abc import abstractmethod from datetime import datetime -from typing import Optional, List, Union +from typing import List, Optional, Union import dateutil.parser import pandas as pd import pytz -from wetterdienst import Resolution, Period from wetterdienst.core.core import Core from wetterdienst.exceptions import StartDateEndDateError -from wetterdienst.metadata.period import PeriodType -from wetterdienst.metadata.resolution import ResolutionType, Frequency +from wetterdienst.metadata.period import Period, PeriodType +from wetterdienst.metadata.resolution import Frequency, Resolution, ResolutionType from wetterdienst.util.enumeration import parse_enumeration_from_template diff --git a/wetterdienst/core/scalar/result.py b/wetterdienst/core/scalar/result.py index 597807bed..cd0db268e 100644 --- a/wetterdienst/core/scalar/result.py +++ b/wetterdienst/core/scalar/result.py @@ -2,21 +2,25 @@ # Copyright (c) 2018-2021, earthobservations developers. # Distributed under the MIT License. See LICENSE for more info. from dataclasses import dataclass +from datetime import datetime +from typing import TYPE_CHECKING, Union + import pandas as pd -from wetterdienst.core.scalar.stations import ScalarStationsCore -from wetterdienst.core.scalar.values import ScalarValuesCore from wetterdienst.metadata.columns import Columns +from wetterdienst.metadata.period import Period +from wetterdienst.metadata.resolution import Frequency, Resolution +if TYPE_CHECKING: + from wetterdienst.core.scalar.stations import ScalarStationsCore + from wetterdienst.core.scalar.values import ScalarValuesCore + from wetterdienst.dwd.forecasts.api import DWDMosmixStations -class StationsResult: - # TODO: add more information about filter and how it is applied, eventually hold - # back filter until later and use pandas.DataFrame.sql instead - _filter = [] +class StationsResult: def __init__( self, - stations: ScalarStationsCore, + stations: Union["ScalarStationsCore", DWDMosmixStations], df: pd.DataFrame, **kwargs ) -> None: @@ -26,6 +30,9 @@ def __init__( self.df = df self._kwargs = kwargs + def __eq__(self, other): + return (self.stations == other.stations) and self.df.equals(other.df) + @property def source(self): return self.stations._source @@ -38,18 +45,62 @@ def now(self): def station_id(self) -> pd.Series: return self.df[Columns.STATION_ID.value] + @property + def parameter(self): + return self.stations.parameter + + @property + def _resolution_type(self): + return self.stations._resolution_type + @property def values(self) -> ScalarValuesCore: return self.stations._values.from_stations(self) - def json(self): + @property + def resolution(self) -> Resolution: + return self.stations.resolution + + @property + def frequency(self) -> Frequency: + return self.stations.frequency + + @property + def period(self) -> Period: + return self.stations.period + + @property + def start_date(self) -> datetime: + return self.stations.start_date + + @property + def end_date(self) -> datetime: + return self.stations.end_date + + @property + def start_issue(self) -> datetime: + return self.stations.start_issue + + @property + def end_issue(self) -> datetime: + return self.stations.end_issue + + @property + def tidy_data(self) -> bool: + return self.stations.tidy_data + + @property + def humanize_parameters(self) -> bool: + return self.stations.humanize_parameters + + def json(self) -> str: raise NotImplementedError() @dataclass class ValuesResult: stations: StationsResult - values: pd.DataFrame + df: pd.DataFrame def __add__(self, other): pass diff --git a/wetterdienst/core/scalar/stations.py b/wetterdienst/core/scalar/stations.py index 3249af4e7..aecfb3548 100644 --- a/wetterdienst/core/scalar/stations.py +++ b/wetterdienst/core/scalar/stations.py @@ -1,25 +1,24 @@ # -*- coding: utf-8 -*- # Copyright (c) 2018-2021, earthobservations developers. # Distributed under the MIT License. See LICENSE for more info. +import logging from abc import abstractmethod from datetime import datetime -from typing import Union, List, Optional -import logging +from enum import Enum +from typing import List, Optional, Tuple, Union import numpy as np import pandas as pd import pytz -from wetterdienst import Period, Resolution from wetterdienst.core.scalar.core import ScalarCore from wetterdienst.core.scalar.result import StationsResult -from wetterdienst.dwd.metadata.column_names import DWDMetaColumns from wetterdienst.metadata.columns import Columns -from wetterdienst.metadata.period import PeriodType +from wetterdienst.metadata.period import Period, PeriodType +from wetterdienst.metadata.resolution import Resolution from wetterdienst.util.enumeration import parse_enumeration_from_template from wetterdienst.util.geo import Coordinates, derive_nearest_neighbours - EARTH_RADIUS_KM = 6371 log = logging.getLogger(__name__) @@ -28,8 +27,15 @@ class ScalarStationsCore(ScalarCore): """ Core for stations information of a source """ + @property @abstractmethod + def _parameter_base(self) -> Enum: + """parameter base enumeration from which parameters can be parsed e.g. + DWDObservationParameter""" + pass + @property + @abstractmethod def _values(self): pass @@ -56,20 +62,62 @@ def _values(self): Columns.STATE.value: str, } - def _parse_period(self, period: Period): + def _parse_period(self, period: Period) -> Optional[List[Period]]: if not period: return None elif self._period_type == PeriodType.FIXED: - return period + return [period] else: - return parse_enumeration_from_template(period, self._period_base, Period) + return ( + pd.Series(period) + .apply( + parse_enumeration_from_template, args=(self._period_base, Period) + ) + .sort_values() + .tolist() + ) + + def _parse_parameter(self, parameter: List[Union[str, Enum]]) -> List[Enum]: + """ + Method to parse parameters, either from string or enum. Case independent for + strings. + + :param parameter: parameters as strings or enumerations + :return: list of parameter enumerations of type self._parameter_base + """ + return ( + pd.Series(parameter) + .apply(parse_enumeration_from_template, args=(self._parameter_base,)) + .tolist() + ) + + @staticmethod + def _parse_station_id(series: pd.Series) -> pd.Series: + """Dedicated method for parsing station ids, by default uses the same method as + parse_strings but could be modified by the implementation class""" + return series.astype(pd.StringDtype()) + + def __eq__(self, other) -> bool: + """ Equal method of request object """ + return ( + self.parameter == other.parameter + and self.resolution == other.resolution + and self.period == other.period + and self.start_date == other.start_date + and self.end_date == other.end_date + and self.humanize_parameters == other.humanize_parameters + and self.tidy_data == other.tidy_data + ) def __init__( self, + parameter: Tuple[Union[str, Enum]], resolution: Resolution, period: Period, - start_date: Union[None, str, datetime] = None, - end_date: Union[None, str, datetime] = None, + start_date: Optional[Union[str, datetime]] = None, + end_date: Optional[Union[str, datetime]] = None, + humanize_parameters: bool = True, + tidy_data: bool = True, ) -> None: """ @@ -83,43 +131,53 @@ def __init__( end_date=end_date, ) - def all(self) -> StationsResult: + self.parameter = self._parse_parameter(parameter) + self.humanize_parameters = humanize_parameters + self.tidy_data = tidy_data + + def all(self) -> "StationsResult": """ Wraps the _all method and applies date filters. :return: pandas.DataFrame with the information of different available stations """ - metadata_df = self._all().copy() - - metadata_df = metadata_df.reindex(columns=self._base_columns) + df = self._all() - metadata_df = self._coerce_meta_fields(metadata_df) + df = df.reindex(columns=self._base_columns) - if self.start_date: - metadata_df = metadata_df[ - metadata_df[DWDMetaColumns.FROM_DATE.value] <= self.start_date - ] + df = self._coerce_meta_fields(df) - if self.end_date: - metadata_df = metadata_df[ - metadata_df[DWDMetaColumns.TO_DATE.value] >= self.end_date - ] + # TODO: exchange with more foreceful filtering if user wants + # if self.start_date: + # df = df[ + # df[Columns.FROM_DATE.value] <= self.start_date + # ] + # + # if self.end_date: + # df = df[ + # df[Columns.TO_DATE.value] >= self.end_date + # ] # TODO: use StationsResult here # TODO: ._filter should stay empty as _all_ stations are returned - return metadata_df + result = StationsResult(self, df.reset_index(drop=True)) + + return result - def query( - self, - station_id: Optional[Union[str, List[str]]] = None, - station_name: Optional[Union[str, List[str]]] = None - ) -> StationsResult: + def filter(self, station_id: Tuple[str]) -> "StationsResult": # TODO: add queries for the given possible parameters # TODO: eventually add other parameters from nearby_... and use DataFrame of # them instead + df = self.all().df - pass + station_id = self._parse_station_id(pd.Series(station_id)) + + df = df[df[Columns.STATION_ID.value].isin(station_id)] + + result = StationsResult(self, df) + + return result def _coerce_meta_fields(self, df) -> pd.DataFrame: """ Method for filed coercion. """ @@ -149,7 +207,7 @@ def nearby_number( latitude: float, longitude: float, number: int, - ) -> pd.DataFrame: + ) -> "StationsResult": """ Wrapper for get_nearby_stations_by_number using the given parameter set. Returns nearest stations defined by number. @@ -164,7 +222,7 @@ def nearby_number( coords = Coordinates(np.array(latitude), np.array(longitude)) - metadata = self.all() + metadata = self.all().df metadata = metadata.reset_index(drop=True) @@ -191,7 +249,7 @@ def nearby_number( drop=True ) - metadata_location[DWDMetaColumns.DISTANCE_TO_LOCATION.value] = distances_km + metadata_location[Columns.DISTANCE_TO_LOCATION.value] = distances_km if metadata_location.empty: log.warning( @@ -202,14 +260,16 @@ def nearby_number( # TODO: use StationsResult here # TODO: add filter for number filtering - return metadata_location + result = StationsResult(self, metadata_location.reset_index(drop=True)) + + return result def nearby_radius( self, latitude: float, longitude: float, max_distance_in_km: int, - ) -> StationsResult: + ) -> "StationsResult": """ Wrapper for get_nearby_stations_by_distance using the given parameter set. Returns nearest stations defined by distance (km). @@ -223,19 +283,22 @@ def nearby_radius( if max_distance_in_km < 0: raise ValueError("'max_distance_in_km' has to be at least 0.0.") - metadata = self.all() + metadata = self.all().df - all_nearby_stations = self.nearby_number(latitude, longitude, metadata.shape[0]) + all_nearby_stations = self.nearby_number( + latitude, longitude, metadata.shape[0] + ).df nearby_stations_in_distance = all_nearby_stations[ - all_nearby_stations[DWDMetaColumns.DISTANCE_TO_LOCATION.value] + all_nearby_stations[Columns.DISTANCE_TO_LOCATION.value] <= max_distance_in_km ] # TODO: use StationsResult here # TODO: add filter for radius filtering - return StationsResult( - self, - nearby_stations_in_distance.reset_index(drop=True) + result = StationsResult( + self, nearby_stations_in_distance.reset_index(drop=True) ) + + return result diff --git a/wetterdienst/core/scalar/values.py b/wetterdienst/core/scalar/values.py index 897128374..b7cc6ca46 100644 --- a/wetterdienst/core/scalar/values.py +++ b/wetterdienst/core/scalar/values.py @@ -3,24 +3,21 @@ # Distributed under the MIT License. See LICENSE for more info. from abc import abstractmethod from enum import Enum -from typing import Tuple, List, Union, Generator, Dict -from dataclasses import dataclass +from typing import Dict, Generator, List, Tuple, Union import pandas as pd from pytz import timezone from tqdm import tqdm -from wetterdienst import Period -from wetterdienst.core.scalar.core import ScalarCore from wetterdienst.core.scalar.result import StationsResult, ValuesResult +from wetterdienst.exceptions import SourceError from wetterdienst.metadata.columns import Columns -from wetterdienst.metadata.period import PeriodType -from wetterdienst.metadata.resolution import ResolutionType +from wetterdienst.metadata.resolution import Resolution, ResolutionType +from wetterdienst.metadata.source import Source from wetterdienst.metadata.timezone import Timezone -from wetterdienst.util.enumeration import parse_enumeration_from_template -class ScalarValuesCore(ScalarCore): +class ScalarValuesCore: """ Core for sources of point data where data is related to a station """ # Fields for type coercion, needed for separation from fields with actual data @@ -40,6 +37,10 @@ class ScalarValuesCore(ScalarCore): # data # TODO: add data type (forecast, observation, ...) + @property + @abstractmethod + def _source(self) -> Source: + pass @property @abstractmethod @@ -78,40 +79,45 @@ def _string_parameters(self) -> Tuple[str]: """ String parameters that will be parsed to integers. """ pass - @property - @abstractmethod - def _parameter_base(self) -> Enum: - """parameter base enumeration from which parameters can be parsed e.g. - DWDObservationParameter""" - pass + # @property + # @abstractmethod + # def _parameter_base(self) -> Enum: + # """parameter base enumeration from which parameters can be parsed e.g. + # DWDObservationParameter""" + # pass @property def _complete_dates(self) -> pd.DatetimeIndex: - return pd.date_range( - self.start_date, self.end_date, freq=self.frequency.value, tz=self.data_tz + date_range = pd.date_range( + self.stations.start_date, + self.stations.end_date, + freq=self.stations.frequency.value, + tz=self.data_tz, ) + return date_range + @property def _base_df(self) -> pd.DataFrame: """Base dataframe which is used for creating empty dataframes if no data is found or for merging other dataframes on the full dates""" return pd.DataFrame({Columns.DATE.value: self._complete_dates}) - def _parse_period(self, period: List[Period]): - """ Parsing method for period, depending on the type of period""" - if not period: - return None - elif self._period_type == PeriodType.FIXED: - return period - else: - return ( - pd.Series(period) - .apply( - parse_enumeration_from_template, args=(self._period_base, Period) - ) - .sort_values() - .tolist() - ) + # def _parse_period(self, period: List[Period]): + # """ Parsing method for period, depending on the type of period""" + # if not period: + # return None + # elif self._period_type == PeriodType.FIXED: + # return period + # else: + # return ( + # pd.Series(period) + # .apply( + # parse_enumeration_from_template, args=(self._period_base, Period) + # ) + # .sort_values() + # .tolist() + # ) # def __init__( # self, @@ -156,63 +162,67 @@ def _parse_period(self, period: List[Period]): # self.humanize_parameters = humanize_parameters # self.tidy_data = tidy_data - def __init__( - self, - stations: StationsResult - ) -> None: + @staticmethod + def _determine_resolution(series: pd.Series) -> Resolution: + pass + + def __init__(self, stations: StationsResult) -> None: self.stations = stations @classmethod def from_stations(cls, stations: StationsResult): - if not cls._source == stations._source: - # TODO: change to SourceError - raise Exception("sources don't match") + if not cls._source == stations.stations._source: + raise SourceError( + f"sources {cls._source} and {stations.stations._source} don't match" + ) return cls(stations) def __eq__(self, other): """ Equal method of request object """ - return ( - self.station_ids == other.station_ids - and self.parameters == other.parameters - and self.start_date == other.start_date - and self.end_date == other.end_date - ) + # return ( + # self.station_ids == other.station_ids + # and self.parameters == other.parameters + # and self.start_date == other.start_date + # and self.end_date == other.end_date + # ) + pass def __str__(self): """ Str representation of request object """ # TODO: include source # TODO: include data type - station_ids_joined = "& ".join( - [str(station_id) for station_id in self.station_ids] - ) - - parameters_joined = "& ".join( - [parameter.value for parameter, parameter_set in self.parameters] - ) - - return ", ".join( - [ - f"station_ids {station_ids_joined}", - f"parameters {parameters_joined}", - str(self.start_date), - str(self.end_date), - ] - ) - - def _parse_parameters(self, parameter: List[Union[str, Enum]]) -> List[Enum]: - """ - Method to parse parameters, either from string or enum. Case independent for - strings. + # station_ids_joined = "& ".join( + # [str(station_id) for station_id in self.station_ids] + # ) + # + # parameters_joined = "& ".join( + # [parameter.value for parameter, parameter_set in self.parameters] + # ) + # + # return ", ".join( + # [ + # f"station_ids {station_ids_joined}", + # f"parameters {parameters_joined}", + # str(self.start_date), + # str(self.end_date), + # ] + # ) + pass - :param parameter: parameters as strings or enumerations - :return: list of parameter enumerations of type self._parameter_base - """ - return ( - pd.Series(parameter) - .apply(parse_enumeration_from_template, args=(self._parameter_base,)) - .tolist() - ) + # def _parse_parameters(self, parameter: List[Union[str, Enum]]) -> List[Enum]: + # """ + # Method to parse parameters, either from string or enum. Case independent for + # strings. + # + # :param parameter: parameters as strings or enumerations + # :return: list of parameter enumerations of type self._parameter_base + # """ + # return ( + # pd.Series(parameter) + # .apply(parse_enumeration_from_template, args=(self._parameter_base,)) + # .tolist() + # ) def _get_empty_station_parameter_df( self, station_id: str, parameter: Union[Enum, List[Enum]] @@ -223,7 +233,7 @@ def _get_empty_station_parameter_df( # Base columns columns = [Columns.STATION_ID.value, Columns.DATE.value] - if self.tidy_data: + if self.stations.tidy_data: columns.extend( [Columns.PARAMETER.value, Columns.VALUE.value, Columns.QUALITY.value] ) @@ -234,7 +244,7 @@ def _get_empty_station_parameter_df( df[Columns.STATION_ID.value] = station_id - if self.tidy_data: + if self.stations.tidy_data: if len(parameter) == 1: parameter = parameter[0] df[Columns.PARAMETER.value] = parameter @@ -247,7 +257,7 @@ def _build_complete_df( # For cases where requests are not defined by start and end date but rather by # periods, use the returned df without modifications # We may put a standard date range here if no data is found - if not self.start_date: + if not self.stations.start_date: return df df = pd.merge( @@ -260,27 +270,26 @@ def _build_complete_df( df[Columns.STATION_ID.value] = station_id - if self.tidy_data: + if self.stations.tidy_data: df[Columns.PARAMETER.value] = parameter.value return df - def query(self) -> Generator[Result, None, None]: + def query(self) -> Generator[ValuesResult, None, None]: """Core method for data collection, iterating of station ids and yielding a DataFrame for each station with all found parameters. Takes care of type coercion of data, date filtering and humanizing of parameters.""" - for station_id in self.station_ids: - + for station_id in self.stations.station_id: # TODO: add method to return empty result with correct response string e.g. # station id not available station_data = [] - for parameter in self.parameters: + for parameter in self.stations.parameter: parameter_df = self._collect_station_parameter(station_id, parameter) # TODO: solve exceptional case where empty df and dynamic resolution - if self._resolution_type == ResolutionType.DYNAMIC: - self.resolution = self._determine_resolution( + if self.stations._resolution_type == ResolutionType.DYNAMIC: + self.stations.resolution = self._determine_resolution( parameter_df[Columns.DATE.value] ) @@ -294,7 +303,7 @@ def query(self) -> Generator[Result, None, None]: else: # Merge on full date range if values are found to ensure result # even if no actual values exist - self._coerce_dates(parameter_df) + self._coerce_date_fields(parameter_df) parameter_df = self._build_complete_df( parameter_df, station_id, parameter @@ -308,19 +317,19 @@ def query(self) -> Generator[Result, None, None]: station_df = self._coerce_parameter_types(station_df) # Filter for dates range if start_date and end_date are defined - if self.start_date: + if self.stations.start_date: # df_station may be empty depending on if station has data for given # constraints try: station_df = station_df[ - (station_df[Columns.DATE.value] >= self.start_date) - & (station_df[Columns.DATE.value] <= self.end_date) + (station_df[Columns.DATE.value] >= self.stations.start_date) + & (station_df[Columns.DATE.value] <= self.stations.end_date) ] except KeyError: pass # Assign meaningful parameter names (humanized). - if self.humanize_parameters: + if self.stations.humanize_parameters: station_df = self._humanize(station_df) # Empty dataframe should be skipped @@ -328,7 +337,7 @@ def query(self) -> Generator[Result, None, None]: continue # TODO: add meaningful metadata here - yield ValuesResult(pd.DataFrame(), station_df) + yield ValuesResult(stations=self.stations, df=station_df) @abstractmethod def _collect_station_parameter(self, station_id: str, parameter) -> pd.DataFrame: @@ -346,14 +355,14 @@ def _collect_station_parameter(self, station_id: str, parameter) -> pd.DataFrame """ pass - def _coerce_dates(self, df: pd.DataFrame) -> pd.DataFrame: + def _coerce_date_fields(self, df: pd.DataFrame) -> pd.DataFrame: for column in ( Columns.DATE.value, Columns.FROM_DATE.value, Columns.TO_DATE.value, ): try: - df[column] = self._parse_dates(df[column]) + df[column] = self._coerce_dates(df[column]) except KeyError: pass @@ -370,28 +379,30 @@ def _coerce_meta_fields(self, df: pd.DataFrame) -> pd.DataFrame: :param df: pandas.DataFrame with the "fresh" data :return: pandas.DataFrame with meta fields being coerced """ - df[Columns.STATION_ID.value] = self._parse_station_ids( + df[Columns.STATION_ID.value] = self._parse_station_id( df[Columns.STATION_ID.value] ).astype("category") - if self.tidy_data: - df[Columns.PARAMETER.value] = self._parse_strings( + if self.stations.tidy_data: + df[Columns.PARAMETER.value] = self._coerce_strings( df[Columns.PARAMETER.value] ).astype("category") if self._has_quality: - df[Columns.QUALITY.value] = self._parse_integers( + df[Columns.QUALITY.value] = self._coerce_integers( df[Columns.QUALITY.value] ).astype("category") return df - def _parse_station_ids(self, series: pd.Series) -> pd.Series: + def _parse_station_id(self, series: pd.Series) -> pd.Series: """Dedicated method for parsing station ids, by default uses the same method as parse_strings but could be modified by the implementation class""" - return self._parse_strings(series) + # return self._parse_strings(series) + # TODO: use method of Stations class + return self.stations.stations._parse_station_id(series) - def _parse_dates(self, series: pd.Series) -> pd.Series: + def _coerce_dates(self, series: pd.Series) -> pd.Series: """Method to parse dates in the pandas.DataFrame. Leverages the data timezone attribute to ensure correct comparison of dates.""" series = pd.to_datetime(series, infer_datetime_format=True) @@ -404,22 +415,22 @@ def _parse_dates(self, series: pd.Series) -> pd.Series: return series @staticmethod - def _parse_integers(series: pd.Series) -> pd.Series: + def _coerce_integers(series: pd.Series) -> pd.Series: """Method to parse integers for type coercion. Uses pandas.Int64Dtype() to allow missing values.""" return pd.to_numeric(series, errors="coerce").astype(pd.Int64Dtype()) @staticmethod - def _parse_strings(series: pd.Series) -> pd.Series: + def _coerce_strings(series: pd.Series) -> pd.Series: """ Method to parse strings for type coercion. """ return series.astype(pd.StringDtype()) @staticmethod - def _parse_floats(series: pd.Series) -> pd.Series: + def _coerce_floats(series: pd.Series) -> pd.Series: """ Method to parse floats for type coercion. """ return pd.to_numeric(series, errors="coerce") - def _parse_irregular_parameter(self, series: pd.Series) -> pd.Series: + def _coerce_irregular_parameter(self, series: pd.Series) -> pd.Series: """Method to parse irregular parameters. This will raise an error if an implementation has defined irregular parameters but has not implemented its own method of parsing irregular parameters.""" @@ -433,37 +444,37 @@ def _parse_irregular_parameter(self, series: pd.Series) -> pd.Series: def _coerce_parameter_types(self, df: pd.DataFrame) -> pd.DataFrame: """ Method for parameter type coercion. Depending on the shape of the data. """ - if not self.tidy_data: + if not self.stations.tidy_data: for column in df.columns: if column in self._meta_fields: continue if column in self._irregular_parameters: - df[column] = self._parse_irregular_parameter(df[column]) + df[column] = self._coerce_irregular_parameter(df[column]) elif column in self._integer_parameters or column.startswith("QN"): - df[column] = self._parse_integers(df[column]) + df[column] = self._coerce_integers(df[column]) elif column in self._string_parameters: - df[column] = self._parse_strings(df[column]) + df[column] = self._coerce_strings(df[column]) else: - df[column] = self._parse_floats(df[column]) + df[column] = self._coerce_floats(df[column]) return df data = [] for parameter, group in df.groupby(Columns.PARAMETER.value, sort=False): if parameter in self._irregular_parameters: - group[Columns.VALUE.value] = self._parse_irregular_parameter( + group[Columns.VALUE.value] = self._coerce_irregular_parameter( group[Columns.VALUE.value] ) elif parameter in self._integer_parameters: - group[Columns.VALUE.value] = self._parse_integers( + group[Columns.VALUE.value] = self._coerce_integers( group[Columns.VALUE.value] ) elif parameter in self._string_parameters: - group[Columns.VALUE.value] = self._parse_strings( + group[Columns.VALUE.value] = self._coerce_strings( group[Columns.VALUE.value] ) else: - group[Columns.VALUE.value] = self._parse_floats( + group[Columns.VALUE.value] = self._coerce_floats( group[Columns.VALUE.value] ) @@ -473,12 +484,12 @@ def _coerce_parameter_types(self, df: pd.DataFrame) -> pd.DataFrame: return df - def all(self) -> pd.DataFrame: + def all(self) -> ValuesResult: """ Collect all data from self.collect_data """ data = [] - for result in tqdm(self.query(), total=len(self.station_ids)): - data.append(result.data) + for result in tqdm(self.query(), total=len(self.stations.station_id)): + data.append(result.df) if not data: raise ValueError("No data available for given constraints") @@ -496,15 +507,15 @@ def all(self) -> pd.DataFrame: except KeyError: pass - df.attrs["tidy"] = self.tidy_data + df.attrs["tidy"] = self.stations.tidy_data - return df + return ValuesResult(stations=self.stations, df=df) def _humanize(self, df: pd.DataFrame) -> pd.DataFrame: """ Method for humanizing parameters. """ hcnm = self._create_humanized_parameters_mapping() - if not self.tidy_data: + if not self.stations.tidy_data: df = df.rename(columns=hcnm) else: df[Columns.PARAMETER.value] = df[ @@ -516,6 +527,9 @@ def _humanize(self, df: pd.DataFrame) -> pd.DataFrame: def _create_humanized_parameters_mapping(self) -> Dict[str, str]: """Method for creation of parameter name mappings based on self._parameter_base""" - hcnm = {parameter.value: parameter.name for parameter in self._parameter_base} + hcnm = { + parameter.value: parameter.name + for parameter in self.stations.stations._parameter_base + } return hcnm diff --git a/wetterdienst/dwd/forecasts/api.py b/wetterdienst/dwd/forecasts/api.py index 7d9fb89af..1200acc7c 100644 --- a/wetterdienst/dwd/forecasts/api.py +++ b/wetterdienst/dwd/forecasts/api.py @@ -3,7 +3,6 @@ # Distributed under the MIT License. See LICENSE for more info. import logging from datetime import datetime -from enum import Enum from io import StringIO from typing import Generator, Optional, Tuple, Union from urllib.parse import urljoin @@ -12,7 +11,9 @@ import requests from requests import HTTPError -from wetterdienst.core.scalar import ScalarStationsCore, ScalarValuesCore, ValuesResult +from wetterdienst.core.scalar.result import StationsResult, ValuesResult +from wetterdienst.core.scalar.stations import ScalarStationsCore +from wetterdienst.core.scalar.values import ScalarValuesCore from wetterdienst.dwd.forecasts.access import KMLReader from wetterdienst.dwd.forecasts.metadata import ( DWDForecastDate, @@ -84,196 +85,64 @@ class DWDMosmixValues(ScalarValuesCore): https://www.dwd.de/DE/leistungen/opendata/help/schluessel_datenformate/kml/mosmix_elemente_pdf.pdf?__blob=publicationFile&v=2 # noqa:E501,B950 """ - @property - def _source(self) -> Source: - return Source.DWD - - @property - def _tz(self) -> Timezone: - return Timezone.GERMANY - - @property - def _data_tz(self) -> Timezone: - return Timezone.UTC - - @property - def _has_quality(self) -> bool: - return False + _source = Source.DWD + _tz = Timezone.GERMANY + _data_tz = Timezone.UTC + _has_quality = False @property def _tidy(self) -> bool: - return self.tidy_data - - @property - def _parameter_base(self) -> Enum: - return DWDMosmixParameter - - @property - def _irregular_parameters(self) -> Tuple[str]: - return tuple() - - @property - def _integer_parameters(self) -> Tuple[str]: - return INTEGER_PARAMETERS + return self.stations.tidy_data - @property - def _string_parameters(self) -> Tuple[str]: - return tuple() + _irregular_parameters = tuple() + _integer_parameters = INTEGER_PARAMETERS + _string_parameters = tuple() _resolution_type = ResolutionType.FIXED _resolution_base = None _period_type = PeriodType.FIXED _period_base = None - def __init__( - self, - station_id: Tuple[str], - mosmix_type: Union[str, DWDMosmixType], - parameter: Optional[Tuple[Union[str, DWDMosmixParameter]]] = None, - start_issue: Optional[ - Union[str, datetime, DWDForecastDate] - ] = DWDForecastDate.LATEST, - end_issue: Optional[Union[str, datetime]] = None, - start_date: Optional[Union[str, datetime]] = None, - end_date: Optional[Union[str, datetime]] = None, - humanize_parameters: bool = False, - tidy_data: bool = True, - ) -> None: - """ - - :param station_id: station ids which are being queried from the MOSMIX foreacst - :param mosmix_type: type of forecast, either small (MOSMIX-S) or large - (MOSMIX-L), as string or enumeration - :param parameter: optional parameters for which the forecasts are filtered - :param start_issue: start date of the MOSMIX forecast, can be used in - combination with end_issue to query multiple MOSMIX - forecasts, or instead used with enumeration to only query - LATEST MOSMIX forecast - :param end_issue: end issue of MOSMIX forecast, can be used to query multiple - MOSMIX forecasts available on the server - :param start_date: start date to limit the returned data to specified datetimes - :param end_date: end date to limit the returned data to specified datetimes - :param humanize_parameters: boolean if parameters shall be renamed to human - readable names - :param tidy_data: boolean if pandas.DataFrame shall be tidied and - values put in rows - """ - # Use all parameters if none are given - parameter = parameter or [*self._parameter_base] + def __init__(self, stations: StationsResult) -> None: + """""" + super(DWDMosmixValues, self).__init__(stations=stations) - super(DWDMosmixValues, self).__init__( - station_id=station_id, - parameter=parameter, - resolution=Resolution.HOURLY, - period=Period.FUTURE, - start_date=start_date, - end_date=end_date, - humanize_parameters=humanize_parameters, - tidy_data=tidy_data, + self.kml = KMLReader( + station_ids=self.stations.station_id.tolist(), + parameters=[parameter for parameter in self.stations.parameter], ) - self.mosmix_type = parse_enumeration_from_template(mosmix_type, DWDMosmixType) - - # Parse issue date if not set to fixed "latest" string - if start_issue is DWDForecastDate.LATEST and end_issue: - log.info( - "end_issue will be ignored as 'latest' was selected for issue date" - ) - - if start_issue is not DWDForecastDate.LATEST: - if not start_issue and not end_issue: - start_issue = DWDForecastDate.LATEST - elif not end_issue: - end_issue = start_issue - elif not start_issue: - start_issue = end_issue - - start_issue = pd.to_datetime(start_issue, infer_datetime_format=True).floor( - "1H" - ) - end_issue = pd.to_datetime(end_issue, infer_datetime_format=True).floor( - "1H" - ) - - # Shift start date and end date to 3, 9, 15, 21 hour format - if mosmix_type == DWDMosmixType.LARGE: - start_issue = self.adjust_datetime(start_issue) - end_issue = self.adjust_datetime(end_issue) - - self.start_issue = start_issue - self.end_issue = end_issue - self.humanize_parameters = humanize_parameters - self.tidy_data = tidy_data - - # TODO: this should be replaced by the freq property in the main class - if self.mosmix_type == DWDMosmixType.SMALL: - self.freq = "1H" # short forecasts released every hour - else: - self.freq = "6H" - - self.kml = KMLReader(station_ids=self.station_ids, parameters=self.parameters) # TODO: add __eq__ and __str__ @property def metadata(self) -> pd.DataFrame: """ Wrapper for forecast metadata """ - return DWDMosmixStations().all() - - @staticmethod - def adjust_datetime(datetime_: datetime) -> datetime: - """ - Adjust datetime to MOSMIX release frequency, which is required for MOSMIX-L - that is only released very 6 hours (3, 9, 15, 21). Datetime is floored - to closest release time e.g. if hour is 14, it will be rounded to 9 - - Args: - datetime_: datetime that is adjusted - - Returns: - adjusted datetime with floored hour - """ - regular_date = datetime_ + pd.offsets.DateOffset(hour=3) - - if regular_date > datetime_: - regular_date -= pd.Timedelta(hours=6) - - delta_hours = (datetime_.hour - regular_date.hour) % 6 - - datetime_adjusted = datetime_ - pd.Timedelta(hours=delta_hours) - - return datetime_adjusted + return self.stations.df def query(self) -> Generator[ValuesResult, None, None]: """Replace collect data method as all information is read once from kml file""" - for metadata_df, forecast_df in self._collect_station_parameter(): + for forecast_df in self._collect_station_parameter(): forecast_df = self._coerce_meta_fields(forecast_df) forecast_df = self._coerce_parameter_types(forecast_df) - if self.humanize_parameters: + if self.stations.humanize_parameters: forecast_df = self._humanize(forecast_df) - # Complement metadata - station_id = forecast_df[DWDMetaColumns.STATION_ID.value].iloc[0] - - station_metadata = self.metadata[ - self.metadata[DWDMetaColumns.STATION_ID.value] == station_id - ].reset_index(drop=True) - - metadata_df = metadata_df.rename(columns=str.upper).reset_index(drop=True) - - metadata_df = metadata_df.join(station_metadata) - - result = ValuesResult(metadata_df, forecast_df) + result = ValuesResult(stations=self.stations, df=forecast_df) yield result - def _collect_station_parameter(self) -> Generator[ValuesResult, None, None]: + def _collect_station_parameter(self) -> Generator[pd.DataFrame, None, None]: """Wrapper of read_mosmix to collect forecast data (either latest or for defined dates)""" - if self.start_issue == DWDForecastDate.LATEST: - yield from self.read_mosmix(self.start_issue) + if self.stations.start_issue == DWDForecastDate.LATEST: + yield from self.read_mosmix(self.stations.stations.start_issue) else: - for date in pd.date_range(self.start_issue, self.end_issue, freq=self.freq): + for date in pd.date_range( + self.stations.stations.start_issue, + self.stations.stations.end_issue, + freq=self.stations.frequency.value, + ): try: yield from self.read_mosmix(date) except IndexError as e: @@ -288,7 +157,7 @@ def read_mosmix(self, date: Union[datetime, DWDForecastDate]) -> ValuesResult: :param date: datetime or enumeration for latest MOSMIX forecast :return: DWDMosmixResult with gathered information """ - for df_metadata, df_forecast in self._read_mosmix(date): + for df_forecast in self._read_mosmix(date): df_forecast = df_forecast.rename( columns={ "station_id": DWDMetaColumns.STATION_ID.value, @@ -296,7 +165,7 @@ def read_mosmix(self, date: Union[datetime, DWDForecastDate]) -> ValuesResult: } ) - if self.tidy_data: + if self.stations.tidy_data: df_forecast = df_forecast.melt( id_vars=[ DWDMetaColumns.STATION_ID.value, @@ -306,14 +175,14 @@ def read_mosmix(self, date: Union[datetime, DWDForecastDate]) -> ValuesResult: value_name=DWDMetaColumns.VALUE.value, ) - yield df_metadata, df_forecast + yield df_forecast def _read_mosmix( self, date: Union[DWDForecastDate, datetime] - ) -> Generator[Tuple[pd.DataFrame, pd.DataFrame], None, None]: + ) -> Generator[pd.DataFrame, None, None]: """Wrapper that either calls read_mosmix_s or read_mosmix_l depending on defined period type""" - if self.mosmix_type == DWDMosmixType.SMALL: + if self.stations.stations.mosmix_type == DWDMosmixType.SMALL: yield from self.read_mosmix_small(date) else: yield from self.read_mosmix_large(date) @@ -330,7 +199,7 @@ def read_mosmix_small( self.kml.read(file_url) for forecast in self.kml.get_forecasts(): - yield self.kml.get_metadata(), forecast + yield forecast def read_mosmix_large( self, date: Union[DWDForecastDate, datetime] @@ -339,7 +208,7 @@ def read_mosmix_large( forecast per file.""" url = urljoin(DWD_SERVER, DWD_MOSMIX_L_SINGLE_PATH) - for station_id in self.station_ids: + for station_id in self.stations.station_id: station_url = f"{url}{station_id}/kml" try: @@ -350,7 +219,7 @@ def read_mosmix_large( self.kml.read(file_url) - yield self.kml.get_metadata(), next(self.kml.get_forecasts()) + yield next(self.kml.get_forecasts()) @staticmethod def get_url_for_date(url: str, date: Union[datetime, DWDForecastDate]) -> str: @@ -397,13 +266,15 @@ def get_url_for_date(url: str, date: Union[datetime, DWDForecastDate]) -> str: class DWDMosmixStations(ScalarStationsCore): """ Implementation of sites for MOSMIX forecast sites """ - @property - def _source(self) -> Source: - return Source.DWD + _source = Source.DWD + _tz = Timezone.GERMANY + _parameter_base = DWDMosmixParameter + _values = DWDMosmixValues - @property - def _tz(self) -> Timezone: - return Timezone.GERMANY + _resolution_type = ResolutionType.FIXED + _resolution_base = None + _period_type = PeriodType.FIXED + _period_base = None _base_columns = [ Columns.STATION_ID.value, @@ -417,20 +288,101 @@ def _tz(self) -> Timezone: Columns.STATE.value, ] - _resolution_type = ResolutionType.FIXED - _resolution_base = None - _period_type = PeriodType.FIXED - _period_base = None + @staticmethod + def adjust_datetime(datetime_: datetime) -> datetime: + """ + Adjust datetime to MOSMIX release frequency, which is required for MOSMIX-L + that is only released very 6 hours (3, 9, 15, 21). Datetime is floored + to closest release time e.g. if hour is 14, it will be rounded to 9 + + Args: + datetime_: datetime that is adjusted + + Returns: + adjusted datetime with floored hour + """ + regular_date = datetime_ + pd.offsets.DateOffset(hour=3) + + if regular_date > datetime_: + regular_date -= pd.Timedelta(hours=6) + + delta_hours = (datetime_.hour - regular_date.hour) % 6 + + datetime_adjusted = datetime_ - pd.Timedelta(hours=delta_hours) + + return datetime_adjusted + + def __init__( + self, + mosmix_type: Union[str, DWDMosmixType], + parameter: Optional[Tuple[Union[str, DWDMosmixParameter]]] = None, + start_issue: Optional[ + Union[str, datetime, DWDForecastDate] + ] = DWDForecastDate.LATEST, + end_issue: Optional[Union[str, datetime]] = None, + humanize_parameters: bool = True, + tidy_data: bool = True, + ) -> None: + parameter = parameter or [*self._parameter_base] - def __init__(self) -> None: super().__init__( + parameter=parameter, start_date=None, end_date=None, resolution=Resolution.HOURLY, period=Period.FUTURE, ) - def _all(self): + self.mosmix_type = parse_enumeration_from_template(mosmix_type, DWDMosmixType) + + # Parse issue date if not set to fixed "latest" string + if start_issue is DWDForecastDate.LATEST and end_issue: + log.info( + "end_issue will be ignored as 'latest' was selected for issue date" + ) + + if start_issue is not DWDForecastDate.LATEST: + if not start_issue and not end_issue: + start_issue = DWDForecastDate.LATEST + elif not end_issue: + end_issue = start_issue + elif not start_issue: + start_issue = end_issue + + start_issue = pd.to_datetime(start_issue, infer_datetime_format=True).floor( + "1H" + ) + end_issue = pd.to_datetime(end_issue, infer_datetime_format=True).floor( + "1H" + ) + + # Shift start date and end date to 3, 9, 15, 21 hour format + if mosmix_type == DWDMosmixType.LARGE: + start_issue = self.adjust_datetime(start_issue) + end_issue = self.adjust_datetime(end_issue) + + # TODO: this should be replaced by the freq property in the main class + if self.mosmix_type == DWDMosmixType.SMALL: + self.resolution = Resolution.HOURLY + else: + self.resolution = Resolution.HOUR_6 + + self.start_issue = start_issue + self.end_issue = end_issue + self.humanize_parameters = humanize_parameters + self.tidy_data = tidy_data + + @property + def issue_start(self): + """ Required for typing """ + return self.issue_start + + @property + def issue_end(self): + """ Required for typing """ + return self.issue_end + + def _all(self) -> pd.DataFrame: """ Create meta data DataFrame from available station list """ # TODO: Cache payload with FSSPEC payload = requests.get(MOSMIX_STATION_LIST, headers={"User-Agent": ""}) @@ -477,4 +429,4 @@ def _all(self): df = df.reindex(columns=MOSMIX_METADATA_COLUMNS) - return df + return df.copy() diff --git a/wetterdienst/dwd/observations/api.py b/wetterdienst/dwd/observations/api.py index 8f0465de9..fe7d93d07 100644 --- a/wetterdienst/dwd/observations/api.py +++ b/wetterdienst/dwd/observations/api.py @@ -11,7 +11,6 @@ from wetterdienst.core.scalar.stations import ScalarStationsCore from wetterdienst.core.scalar.values import ScalarValuesCore -from wetterdienst.core.scalar.result import StationsResult from wetterdienst.dwd.index import _create_file_index_for_dwd_server from wetterdienst.dwd.metadata.column_names import DWDMetaColumns from wetterdienst.dwd.metadata.constants import DWDCDCBase @@ -73,37 +72,14 @@ class DWDObservationValues(ScalarValuesCore): observation data as provided by the DWD service. """ - @property - def _source(self) -> Source: - return Source.DWD - - @property - def _tz(self) -> Timezone: - return Timezone.GERMANY - - @property - def _data_tz(self) -> Timezone: - return Timezone.UTC - - @property - def _has_quality(self) -> bool: - return True - - @property - def _integer_parameters(self) -> Tuple[str]: - return INTEGER_PARAMETERS - - @property - def _string_parameters(self) -> Tuple[str]: - return STRING_PARAMETERS - - @property - def _irregular_parameters(self) -> Tuple[str]: - return DATE_PARAMETERS_IRREGULAR + _source = Source.DWD + _tz = Timezone.GERMANY + _data_tz = Timezone.UTC + _has_quality = True - @property - def _parameter_base(self) -> Enum: - return DWDObservationParameter + _integer_parameters = INTEGER_PARAMETERS + _string_parameters = STRING_PARAMETERS + _irregular_parameters = DATE_PARAMETERS_IRREGULAR _resolution_type = ResolutionType.MULTI _resolution_base = DWDObservationResolution @@ -112,219 +88,31 @@ def _parameter_base(self) -> Enum: @property def _datetime_format(self): - return RESOLUTION_TO_DATETIME_FORMAT_MAPPING.get(self.resolution) - - # def __init__( - # self, - # station_id: List[Union[int, str]], - # parameter: List[ - # Union[str, DWDObservationParameter, DWDObservationParameterSet] - # ], - # resolution: Union[str, Resolution, DWDObservationResolution], - # period: Optional[List[Union[str, Period, DWDObservationPeriod]]] = None, - # start_date: Optional[Union[str, Timestamp, datetime]] = None, - # end_date: Optional[Union[str, Timestamp, datetime]] = None, - # tidy_data: bool = True, - # humanize_parameters: bool = True, - # ) -> None: - # """ - # Class with mostly flexible arguments to define a request regarding DWD data. - # Special handling for period type. If start_date/end_date are given all period - # types are considered and merged together and the data is filtered for the given - # dates afterwards. - # - # :param station_id: definition of stations by str, int or list of str/int, - # will be parsed to list of int - # :param parameter: Observation measure - # :param resolution: Frequency/granularity of measurement interval - # :param period: Recent or historical files (optional), if None - # and start_date and end_date None, all period - # types are used - # :param start_date: Replacement for period type to define exact time - # of requested data, if used, period type will be set - # to all period types (hist, recent, now) - # :param end_date: Replacement for period type to define exact time - # of requested data, if used, period type will be set - # to all period types (hist, recent, now) - # :param tidy_data: Reshape DataFrame to a more tidy - # and row-based version of data - # :param humanize_parameters: Replace column names by more meaningful ones - # """ - # station_id = pd.Series(station_id).astype(str).str.pad(5, "left", "0") - # - # if not station_id.str.isdigit().all(): - # raise ValueError("station identifiers of DWD only contain digits") - # - # super(DWDObservationValues, self).__init__( - # station_id=station_id, - # parameter=parameter, - # resolution=resolution, - # period=period, - # start_date=start_date, - # end_date=end_date, - # humanize_parameters=humanize_parameters, - # tidy_data=tidy_data, - # ) - # - # # If any date is given, use all period types and filter, else if not period type - # # is given use all period types - # if not self.period: - # if self.start_date: - # self.period = self._get_periods() - # else: - # self.period = [*self._period_base] - # - # if self.start_date and self.period: - # log.warning( - # f"start_date and end_date filtering limited to defined " - # f"periods {self.period}" - # ) - # - # # For requests with start date and end date set in the future, we wont expect - # # any periods to be selected - # if not self.period: - # log.warning("start date and end date are out of range of any period.") - # - # # If more then one parameter requested, automatically tidy data - # # - has to be overwritten here only after parsing parameters and getting the - # # correct format (list) plus parameters could be a parameter set for which we - # # always want tidy data - # self.tidy_data = ( - # tidy_data - # or len(self.parameters) > 1 - # or any( - # [ - # not isinstance(parameter, DWDObservationParameterSet) - # for parameter, parameter_set in self.parameters - # ] - # ) - # ) - - # def __init__(self, stations: StationsResult): - # super(DWDObservationValues, self).__init__(stations) - - # TODO: move create_parameter_to_parameter_set_combination to class - def _parse_parameters(self, parameter) -> List[Tuple[Enum, Enum]]: - """ - Parsing of parameter will create tuples of parameter and parameter_set e.g. - if the parameter that is parsed is daily precipitation, this parameter is taken - from a particular parameter_set. - Example: - (precipitation_height, precipitation) - If instead a parameter set is requested the tuple will consist of two times the - same parameter set. - Example: - (precipitation, precipitation) - - :param parameter: list of parameter strings or enumerations - :return: list of tuples of parameter/parameter set to parameter set combination - """ - parameters_parsed = [] - - for parameter in pd.Series(parameter): - try: - ( - parameter, - parameter_set, - ) = create_parameter_to_parameter_set_combination( - parameter, self.resolution - ) - parameters_parsed.append((parameter, parameter_set)) - except InvalidParameter as e: - log.info(str(e)) - - return parameters_parsed + return RESOLUTION_TO_DATETIME_FORMAT_MAPPING.get( + self.stations.stations.resolution + ) def __eq__(self, other): """ Add resolution and periods """ return super(DWDObservationValues, self).__eq__(other) and ( - self.resolution == other.resolution and self.period == other.period + self.stations.resolution == other.resolution + and self.stations.period == other.period ) def __str__(self): """ Add resolution and periods """ - periods_joined = "& ".join([period_type.value for period_type in self.period]) + periods_joined = "& ".join( + [period_type.value for period_type in self.stations.period] + ) return ", ".join( [ super(DWDObservationValues, self).__str__(), - f"resolution {self.resolution.value}", + f"resolution {self.stations.resolution.value}", f"periods {periods_joined}", ] ) - @property - def _interval(self) -> Optional[pd.Interval]: - """ Interval of the request if date given """ - if self.start_date: - return pd.Interval( - pd.Timestamp(self.start_date), pd.Timestamp(self.end_date), "both" - ) - - return None - - @property - def _historical_interval(self) -> pd.Interval: - """Interval of historical data release schedule. Historical data is typically - release once in a year somewhere in the first few months with updated quality - """ - start_date = Timestamp(self.start_date) - - historical_end = pd.Timestamp(self._now_local.replace(month=1, day=1)) - - if start_date < historical_end: - historical_begin = start_date.tz_convert(historical_end.tz) - else: - historical_begin = historical_end + pd.tseries.offsets.DateOffset(years=-1) - - historical_interval = pd.Interval(historical_begin, historical_end, "both") - - return historical_interval - - @property - def _recent_interval(self) -> pd.Interval: - """Interval of recent data release schedule. Recent data is released every day - somewhere after midnight with data reaching back 500 days.""" - recent_end = pd.Timestamp(self._now_local.replace(hour=0, minute=0, second=0)) - recent_begin = recent_end - pd.Timedelta(days=500) - - recent_interval = pd.Interval(recent_begin, recent_end, "both") - - return recent_interval - - @property - def _now_interval(self) -> pd.Interval: - """Interval of now data release schedule. Now data is released every hour (near - real time) reaching back to beginning of the previous day.""" - now_end = pd.Timestamp(self._now_local) - now_begin = pd.Timestamp( - now_end.replace(hour=0, minute=0, second=0) - ) - pd.Timedelta(days=1) - - now_interval = pd.Interval(now_begin, now_end, "both") - - return now_interval - - def _get_periods(self) -> List[Period]: - """Set periods automatically depending on the given start date and end date. - Overlapping of historical and recent interval will cause both periods to appear - if values from last year are queried within the 500 day range of recent. This is - okay as we'd prefer historical values with quality checks, but may encounter - that in the beginning of a new year historical data is not yet updated and only - recent periods cover this data.""" - periods = [] - - interval = self._interval - - if interval.overlaps(self._historical_interval): - periods.append(Period.HISTORICAL) - if interval.overlaps(self._recent_interval): - periods.append(Period.RECENT) - if interval.overlaps(self._now_interval): - periods.append(Period.NOW) - - return periods - def _get_empty_station_parameter_df( self, station_id: str, parameter: Enum ) -> pd.DataFrame: @@ -343,12 +131,12 @@ def _get_empty_station_parameter_df( # Get parameters from enum parameter = [ - *DWDObservationParameterSetStructure[self.resolution.name][ + *DWDObservationParameterSetStructure[self.stations.resolution.name][ parameter_set.name ] ] - if self.tidy_data: + if self.stations.tidy_data: data = [] for par in parameter: if not par.value.startswith("QN"): @@ -377,7 +165,7 @@ def _build_complete_df( ) -> pd.DataFrame: parameter, parameter_set = parameter - if parameter != parameter_set or not self.tidy_data: + if parameter != parameter_set or not self.stations.tidy_data: df = super(DWDObservationValues, self)._build_complete_df( df, station_id, parameter ) @@ -387,7 +175,7 @@ def _build_complete_df( for parameter, group in df.groupby(Columns.PARAMETER.value, sort=False): parameter = parse_enumeration_from_template( parameter, - DWDObservationParameterSetStructure[self.resolution.name][ + DWDObservationParameterSetStructure[self.stations.resolution.name][ parameter_set.name ], ) @@ -400,7 +188,7 @@ def _build_complete_df( df = pd.concat(data) - if self.tidy_data: + if self.stations.tidy_data: df[Columns.PARAMETER_SET.value] = parameter_set.name df[Columns.PARAMETER_SET.value] = pd.Categorical( df[Columns.PARAMETER_SET.value] @@ -431,8 +219,12 @@ def _collect_station_parameter( parameter, parameter_set = parameter periods_and_date_ranges = [] - for period in self.period: - if self.resolution in HIGH_RESOLUTIONS and period == Period.HISTORICAL: + + for period in self.stations.period: + if ( + self.stations.resolution in HIGH_RESOLUTIONS + and period == Period.HISTORICAL + ): date_ranges = self._get_historical_date_ranges( station_id, parameter_set ) @@ -446,28 +238,32 @@ def _collect_station_parameter( for period, date_range in periods_and_date_ranges: parameter_identifier = build_parameter_set_identifier( - parameter_set, self.resolution, period, station_id, date_range + parameter_set, self.stations.resolution, period, station_id, date_range ) log.info(f"Acquiring observations data for {parameter_identifier}.") if not check_dwd_observations_parameter_set( - parameter_set, self.resolution, period + parameter_set, self.stations.resolution, period ): log.info( f"Invalid combination {parameter_set.value}/" - f"{self.resolution.value}/{period} is skipped." + f"{self.stations.resolution.value}/{period} is skipped." ) continue remote_files = create_file_list_for_climate_observations( - station_id, parameter_set, self.resolution, period, date_range + station_id, parameter_set, self.stations.resolution, period, date_range ) if len(remote_files) == 0: parameter_identifier = build_parameter_set_identifier( - parameter_set, self.resolution, period, station_id, date_range + parameter_set, + self.stations.resolution, + period, + station_id, + date_range, ) log.info( f"No files found for {parameter_identifier}. Station will be skipped." @@ -480,7 +276,7 @@ def _collect_station_parameter( ) period_df = parse_climate_observations_data( - filenames_and_files, parameter_set, self.resolution, period + filenames_and_files, parameter_set, self.stations.resolution, period ) # Filter out values which already are in the DataFrame @@ -495,7 +291,7 @@ def _collect_station_parameter( parameter_df = parameter_df.append(period_df) - if self.tidy_data: + if self.stations.tidy_data: parameter_df = parameter_df.dwd.tidy_up_data() # TODO: remove this column and rather move it into metadata of resulting @@ -514,19 +310,14 @@ def _collect_station_parameter( return parameter_df - def _parse_station_ids(self, series: pd.Series) -> pd.Series: - series = series.str.pad(5, "left", "0") - - return super(DWDObservationValues, self)._parse_station_ids(series) - - def _parse_dates(self, series: pd.Series) -> pd.Series: + def _coerce_dates(self, series: pd.Series) -> pd.Series: """Use predefined datetime format for given resolution to reduce processing time.""" return pd.to_datetime(series, format=self._datetime_format).dt.tz_localize( self.data_tz ) - def _parse_irregular_parameter(self, series: pd.Series) -> pd.Series: + def _coerce_irregular_parameter(self, series: pd.Series) -> pd.Series: """Only one particular parameter is irregular which is the related to some datetime found in solar.""" return pd.to_datetime(series, format=DatetimeFormat.YMDH_COLUMN_M.value) @@ -536,7 +327,7 @@ def _create_humanized_parameters_mapping(self) -> Dict[str, str]: by specifying the resolution.""" hcnm = { parameter.value: parameter.name - for parameter in DWDObservationParameter[self.resolution.name] + for parameter in DWDObservationParameter[self.stations.resolution.name] } return hcnm @@ -547,13 +338,15 @@ def _get_historical_date_ranges( """Get particular files for historical data which for high resolution is released in data chunks e.g. decades or monthly chunks""" file_index = create_file_index_for_climate_observations( - parameter_set, self.resolution, Period.HISTORICAL + parameter_set, self.stations.resolution, Period.HISTORICAL ) # Filter for from date and end date file_index_filtered = file_index[ (file_index[DWDMetaColumns.STATION_ID.value] == station_id) - & file_index[DWDMetaColumns.INTERVAL.value].array.overlaps(self._interval) + & file_index[DWDMetaColumns.INTERVAL.value].array.overlaps( + self.stations.stations._interval + ) ] return file_index_filtered[DWDMetaColumns.DATE_RANGE.value].tolist() @@ -565,26 +358,140 @@ class DWDObservationStations(ScalarStationsCore): a station list as provided by the DWD service. """ - @property - def _source(self) -> Source: - return Source.DWD - - @property - def _tz(self) -> Timezone: - return Timezone.GERMANY + _values = DWDObservationValues + _parameter_base = DWDObservationParameter + _source = Source.DWD + _tz = Timezone.GERMANY _resolution_type = ResolutionType.MULTI _resolution_base = DWDObservationResolution _period_type = PeriodType.MULTI _period_base = DWDObservationPeriod + @property + def _interval(self) -> Optional[pd.Interval]: + """ Interval of the request if date given """ + if self.start_date: + return pd.Interval( + pd.Timestamp(self.start_date), pd.Timestamp(self.end_date), "both" + ) + + return None + + @property + def _historical_interval(self) -> pd.Interval: + """Interval of historical data release schedule. Historical data is typically + release once in a year somewhere in the first few months with updated quality + """ + start_date = Timestamp(self.start_date) + + historical_end = pd.Timestamp(self._now_local.replace(month=1, day=1)) + + if start_date < historical_end: + historical_begin = start_date.tz_convert(historical_end.tz) + else: + historical_begin = historical_end + pd.tseries.offsets.DateOffset(years=-1) + + historical_interval = pd.Interval( + left=historical_begin, right=historical_end, closed="both" + ) + + return historical_interval + + @property + def _recent_interval(self) -> pd.Interval: + """Interval of recent data release schedule. Recent data is released every day + somewhere after midnight with data reaching back 500 days.""" + recent_end = pd.Timestamp(self._now_local.replace(hour=0, minute=0, second=0)) + recent_begin = recent_end - pd.Timedelta(days=500) + + recent_interval = pd.Interval( + left=recent_begin, right=recent_end, closed="both" + ) + + return recent_interval + + @property + def _now_interval(self) -> pd.Interval: + """Interval of now data release schedule. Now data is released every hour (near + real time) reaching back to beginning of the previous day.""" + now_end = pd.Timestamp(self._now_local) + now_begin = pd.Timestamp( + now_end.replace(hour=0, minute=0, second=0) + ) - pd.Timedelta(days=1) + + now_interval = pd.Interval(left=now_begin, right=now_end, closed="both") + + return now_interval + + def _get_periods(self) -> List[Period]: + """Set periods automatically depending on the given start date and end date. + Overlapping of historical and recent interval will cause both periods to appear + if values from last year are queried within the 500 day range of recent. This is + okay as we'd prefer historical values with quality checks, but may encounter + that in the beginning of a new year historical data is not yet updated and only + recent periods cover this data.""" + periods = [] + + interval = self._interval + + if interval.overlaps(self._historical_interval): + periods.append(Period.HISTORICAL) + if interval.overlaps(self._recent_interval): + periods.append(Period.RECENT) + if interval.overlaps(self._now_interval): + periods.append(Period.NOW) + + return periods + + # TODO: move create_parameter_to_parameter_set_combination to class + def _parse_parameter(self, parameter) -> List[Tuple[Enum, Enum]]: + """ + Parsing of parameter will create tuples of parameter and parameter_set e.g. + if the parameter that is parsed is daily precipitation, this parameter is taken + from a particular parameter_set. + Example: + (precipitation_height, precipitation) + If instead a parameter set is requested the tuple will consist of two times the + same parameter set. + Example: + (precipitation, precipitation) + + :param parameter: list of parameter strings or enumerations + :return: list of tuples of parameter/parameter set to parameter set combination + """ + parameters_parsed = [] + + for parameter in pd.Series(parameter): + try: + ( + parameter, + parameter_set, + ) = create_parameter_to_parameter_set_combination( + parameter, self.resolution + ) + parameters_parsed.append((parameter, parameter_set)) + except InvalidParameter as e: + log.info(str(e)) + + return parameters_parsed + + def _parse_station_id(self, series: pd.Series) -> pd.Series: + series = super(DWDObservationStations, self)._parse_station_id(series) + + series = series.str.pad(5, "left", "0") + + return series + def __init__( self, parameter: Union[str, DWDObservationParameterSet], resolution: Union[str, Resolution, DWDObservationResolution], - period: Union[str, Period, DWDObservationPeriod], - start_date: Union[None, str, Timestamp] = None, - end_date: Union[None, str, Timestamp] = None, + period: Optional[Union[str, Period, DWDObservationPeriod]] = None, + start_date: Optional[Union[str, datetime]] = None, + end_date: Optional[Union[str, datetime]] = None, + humanize_parameters: bool = True, + tidy_data: bool = True, ): """ @@ -595,59 +502,81 @@ def __init__( :param end_date: end date to limit the stations """ super().__init__( + parameter=parameter, resolution=resolution, period=period, start_date=start_date, end_date=end_date, + humanize_parameters=humanize_parameters, + tidy_data=tidy_data, ) - # Ensure there's only one period given - # self.period = pd.Series(self.period).item() + # Has to follow the super call as start date and end date are required for getting + # automated periods from overlapping intervals + if not self.period: + if self.start_date: + self.period = self._get_periods() + else: + self.period = self._parse_period([*self._period_base]) - parameter = parse_enumeration_from_template( - parameter, DWDObservationParameterSet - ) + if self.start_date and self.period: + log.warning( + f"start_date and end_date filtering limited to defined " + f"periods {self.period}" + ) - self.parameter = parameter + # Ensure there's only one period given + # self.period = pd.Series(self.period).item() def _all(self) -> pd.DataFrame: - # TODO: move to _all and replace error with logging + empty dataframe - if not check_dwd_observations_parameter_set( - self.parameter, self.resolution, self.period - ): - log.warning( - f"The combination of {self.parameter.value}, {self.resolution.value}, " - f"{self.period.value} is invalid." - ) + parameter_sets = pd.Series(self.parameter).map(lambda x: x[1]).unique() + + stations_df = pd.DataFrame() + + for parameter_set in parameter_sets: + # First "now" period as it has more updated end date up to the last "now" + # values + for period in reversed(self.period): + # TODO: move to _all and replace error with logging + empty dataframe + if not check_dwd_observations_parameter_set( + parameter_set, self.resolution, period + ): + log.warning( + f"The combination of {parameter_set.value}, " + f"{self.resolution.value}, {period.value} is invalid." + ) - return pd.DataFrame() + continue - df = create_meta_index_for_climate_observations( - self.parameter, self.resolution, self.period - ) + df = create_meta_index_for_climate_observations( + parameter_set, self.resolution, period + ) - df[Columns.HAS_FILE.value] = False + file_index = create_file_index_for_climate_observations( + parameter_set, self.resolution, period + ) - file_index = create_file_index_for_climate_observations( - self.parameter, self.resolution, self.period - ) + df = df[ + df.loc[:, Columns.STATION_ID.value].isin( + file_index[Columns.STATION_ID.value] + ) + ] - df.loc[ - df.loc[:, Columns.STATION_ID.value].isin( - file_index[Columns.STATION_ID.value] - ), - Columns.HAS_FILE.value, - ] = True + if not stations_df.empty: + df = df[ + ~df[Columns.STATION_ID.value].isin( + stations_df[Columns.STATION_ID.value] + ) + ] - # TODO: we may eventually still return those stations which have no file on the - # server for the sake of completeness and rather return empty values later on - # with a corresponding report e.g. "data not provided" - # Filter only for stations that have a file - df = df[df[Columns.HAS_FILE.value].values] + stations_df = stations_df.append(df) - df = df.drop(columns=[Columns.HAS_FILE.value]) + if not stations_df.empty: + stations_df = stations_df.sort_values( + [Columns.STATION_ID.value], key=lambda x: x.astype(int) + ) - return df + return stations_df class DWDObservationMetadata: diff --git a/wetterdienst/dwd/radar/api.py b/wetterdienst/dwd/radar/api.py index 738d769cb..f853c6b60 100644 --- a/wetterdienst/dwd/radar/api.py +++ b/wetterdienst/dwd/radar/api.py @@ -246,14 +246,6 @@ def query(self) -> RadarResult: period=self.period, ) - def collect_data(self): - log.warning( - "method self.collect_data() will deprecate at some point. " - "use self.query() instead" - ) - - return self.query() - @staticmethod def get_sites(): return RADAR_LOCATIONS diff --git a/wetterdienst/exceptions.py b/wetterdienst/exceptions.py index 9d1013cbf..7db420156 100644 --- a/wetterdienst/exceptions.py +++ b/wetterdienst/exceptions.py @@ -43,3 +43,7 @@ class DatetimeOutOfRangeError(Exception): class InvalidTimeInterval(ValueError): pass + + +class SourceError(Exception): + pass diff --git a/wetterdienst/metadata/resolution.py b/wetterdienst/metadata/resolution.py index 55ee26215..059a54f8b 100644 --- a/wetterdienst/metadata/resolution.py +++ b/wetterdienst/metadata/resolution.py @@ -17,14 +17,15 @@ class Resolution(Enum): observations """ - MINUTE_1 = "1_minute" + MINUTE_1 = "1_minute" # used by DWD for file server MINUTE_5 = "5_minutes" - MINUTE_10 = "10_minutes" - HOURLY = "hourly" - SUBDAILY = "subdaily" - DAILY = "daily" - MONTHLY = "monthly" - ANNUAL = "annual" + MINUTE_10 = "10_minutes" # used by DWD for file server + HOURLY = "hourly" # used by DWD for file server + HOUR_6 = "6_hour" + SUBDAILY = "subdaily" # used by DWD for file server + DAILY = "daily" # used by DWD for file server + MONTHLY = "monthly" # used by DWD for file server + ANNUAL = "annual" # used by DWD for file server # For sources without resolution UNDEFINED = "undefined" @@ -36,6 +37,7 @@ class Frequency(Enum): MINUTE_5 = "5min" MINUTE_10 = "10min" HOURLY = "1H" + HOUR_6 = "6H" SUBDAILY = "1H" DAILY = "1D" MONTHLY = "1M" diff --git a/wetterdienst/service.py b/wetterdienst/service.py index f847e98c7..44370a9be 100644 --- a/wetterdienst/service.py +++ b/wetterdienst/service.py @@ -8,16 +8,9 @@ from fastapi.responses import HTMLResponse, PlainTextResponse from wetterdienst import __appname__, __version__ -from wetterdienst.dwd.forecasts import DWDMosmixStations, DWDMosmixType, DWDMosmixValues -from wetterdienst.dwd.observations import ( - DWDObservationParameterSet, - DWDObservationPeriod, - DWDObservationResolution, - DWDObservationValues, -) +from wetterdienst.dwd.forecasts import DWDMosmixStations from wetterdienst.dwd.observations.api import DWDObservationStations from wetterdienst.util.cli import read_list -from wetterdienst.util.enumeration import parse_enumeration_from_template app = FastAPI(debug=False) @@ -76,6 +69,7 @@ def dwd_stations( parameter: str = Query(default=None), resolution: str = Query(default=None), period: str = Query(default=None), + mosmix_type: str = Query(default=None), lon: float = Query(default=None), lat: float = Query(default=None), number_nearby: int = Query(default=None), @@ -94,36 +88,28 @@ def dwd_stations( "and 'period' are required", ) - parameter = parse_enumeration_from_template( - parameter, DWDObservationParameterSet - ) - resolution = parse_enumeration_from_template( - resolution, DWDObservationResolution - ) - period = parse_enumeration_from_template(period, DWDObservationPeriod) - stations = DWDObservationStations( parameter=parameter, resolution=resolution, period=period, ) else: - stations = DWDMosmixStations() + stations = DWDMosmixStations(mosmix_type=mosmix_type) if lon and lat and (number_nearby or max_distance_in_km): if number_nearby: - df = stations.nearby_number( + request = stations.nearby_number( latitude=lat, longitude=lon, number=number_nearby ) else: - df = stations.nearby_radius( + request = stations.nearby_radius( latitude=lat, longitude=lon, max_distance_in_km=max_distance_in_km ) else: - df = stations.all() + request = stations.all() # Postprocessing. - df = df.dwd.lower() + df = request.df.dwd.lower() if sql is not None: df = df.io.sql(sql) @@ -138,7 +124,7 @@ def dwd_values( parameter: str = Query(default=None), resolution: str = Query(default=None), period: str = Query(default=None), - mosmix_type: str = Query(default=None, alias="mosmix-type"), + mosmix_type: str = Query(default=None), date: str = Query(default=None), sql: str = Query(default=None), ): @@ -152,7 +138,6 @@ def dwd_values( :param parameter: Observation measure :param resolution: Frequency/granularity of measurement interval :param period: Recent or historical files - :param mosmix_type type of mosmix, either small or large :param date: Date or date range :param sql: SQL expression :return: @@ -175,22 +160,9 @@ def dwd_values( "and 'period' are required", ) - parameter = parse_enumeration_from_template( - parameter, DWDObservationParameterSet - ) - resolution = parse_enumeration_from_template( - resolution, DWDObservationResolution - ) - period = parse_enumeration_from_template(period, DWDObservationPeriod) - # Data acquisition. - values = DWDObservationValues( - station_id=station_ids, - parameter=parameter, - resolution=resolution, - period=period, - tidy_data=True, - humanize_parameters=True, + request = DWDObservationStations( + parameter=parameter, resolution=resolution, period=period ) else: if mosmix_type is None: @@ -198,12 +170,13 @@ def dwd_values( status_code=400, detail="Query argument 'mosmix_type' is required" ) - mosmix_type = parse_enumeration_from_template(mosmix_type, DWDMosmixType) + request = DWDMosmixStations(mosmix_type=mosmix_type) - values = DWDMosmixValues(station_id=station_ids, mosmix_type=mosmix_type) + if not resolution: + resolution = request.resolution # Postprocessing. - df = values.all() + df = request.filter(station_id=station_ids).values.all().df if date is not None: df = df.dwd.filter_by_date(date, resolution)