diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2022-02-11-PRCRMP-biodiversity-mapping.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2022-02-11-PRCRMP-biodiversity-mapping.ipynb new file mode 100644 index 00000000..51f6e3ff --- /dev/null +++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2022-02-11-PRCRMP-biodiversity-mapping.ipynb @@ -0,0 +1,1235 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2bc017b5", + "metadata": {}, + "source": [ + "# Search for the order Scleractinia and extract all records below." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4369b194", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "from urllib.request import urlopen\n", + "import urllib.parse\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "b9e28702", + "metadata": {}, + "source": [ + "Searching the order [Scleractinia](https://www.marinespecies.org/aphia.php?p=taxdetails&id=1363) and drill down to all species. \n", + "\n", + "**AphiaID** 1363 (urn:lsid:marinespecies.org:taxname:1363) " + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "10605249", + "metadata": {}, + "source": [ + "Collect all the AphiaIDs for the families associated with [Scleractinia](https://www.marinespecies.org/aphia.php?p=taxdetails&id=1363)\n", + "\n", + "Need to follow the Taxonomy Classification from order down:\n", + "![image.png](attachment:image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "65a73c90", + "metadata": {}, + "source": [ + "Turns out we can simply search OBIS using the AphiaID for the **order** `Scleractinia` and it will return all appropriate records.\n", + "\n", + "Let's replicate this response from OBIS mapper https://mapper.obis.org/?taxonid=1363#\n", + "\n", + "To do:\n", + "* figure out years\n", + "* figure out species\n", + "* figure out taxa" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8cde757a", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 435054 records.\n", + "See in mapper at: https://mapper.obis.org/?taxonid=1363&startdepth=0&enddepth=30&geometry=POLYGON%20%28%28-180%20-30%2C%20180%20-30%2C%20180%2030%2C%20-180%2030%2C%20-180%20-30%29%29&size=1#\n" + ] + } + ], + "source": [ + "base = 'https://api.obis.org/v3/'\n", + "\n", + "aphiaID = '1363'\n", + "size = 1\n", + "\n", + "# define a polygon\n", + "# bound it to between 30 deg N and S latitude\n", + "geometry=urllib.parse.quote(\"POLYGON ((-180 -30, 180 -30, 180 30, -180 30, -180 -30))\")\n", + "\n", + "# identify start and end depth\n", + "startdepth = 0\n", + "enddepth = 30\n", + "\n", + "occurrence_id = 'occurrence?taxonid={}&startdepth={}&enddepth={}&geometry={}&size={}'.format(aphiaID,startdepth,enddepth,geometry,size)\n", + "\n", + "# build the api query and print out the number of records found\n", + "url = '{}{}'.format(base,occurrence_id)\n", + "response= urlopen(url)\n", + "data_json = json.loads(response.read())\n", + "size = data_json['total']\n", + "\n", + "print(\"Found %i records.\" % size)\n", + "print(\"See in mapper at: %s\" % '{}{}#'.format('https://mapper.obis.org/?',occurrence_id.replace(\"occurrence?\",\"\")))" + ] + }, + { + "cell_type": "markdown", + "id": "35ad2c12", + "metadata": {}, + "source": [ + "Now let's query the OBIS API for the observations matching the criteria defined above and return select fields from all the records." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "013df372", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape: 10000 (10000, 8)\n", + "Data shape: 10000 (20000, 8)\n", + "Data shape: 10000 (30000, 8)\n", + "Data shape: 10000 (40000, 8)\n", + "Data shape: 10000 (50000, 8)\n", + "Data shape: 10000 (60000, 8)\n", + "Data shape: 10000 (70000, 8)\n", + "Data shape: 10000 (80000, 8)\n", + "Data shape: 10000 (90000, 8)\n", + "Data shape: 10000 (100000, 8)\n", + "Data shape: 10000 (110000, 8)\n", + "Data shape: 10000 (120000, 8)\n", + "Data shape: 10000 (130000, 8)\n", + "Data shape: 10000 (140000, 8)\n", + "Data shape: 10000 (150000, 8)\n", + "Data shape: 10000 (160000, 8)\n", + "Data shape: 10000 (170000, 8)\n", + "Data shape: 10000 (180000, 8)\n", + "Data shape: 10000 (190000, 8)\n", + "Data shape: 10000 (200000, 8)\n", + "Data shape: 10000 (210000, 8)\n", + "Data shape: 10000 (220000, 8)\n", + "Data shape: 10000 (230000, 8)\n", + "Data shape: 10000 (240000, 8)\n", + "Data shape: 10000 (250000, 8)\n", + "Data shape: 10000 (260000, 8)\n", + "Data shape: 10000 (270000, 8)\n", + "Data shape: 10000 (280000, 8)\n", + "Data shape: 10000 (290000, 8)\n", + "Data shape: 10000 (300000, 8)\n", + "Data shape: 10000 (310000, 8)\n", + "Data shape: 10000 (320000, 8)\n", + "Data shape: 10000 (330000, 8)\n", + "Data shape: 10000 (340000, 8)\n", + "Data shape: 10000 (350000, 8)\n", + "Data shape: 10000 (360000, 8)\n", + "Data shape: 10000 (370000, 8)\n", + "Data shape: 10000 (380000, 8)\n", + "Data shape: 10000 (390000, 8)\n", + "Data shape: 10000 (400000, 8)\n", + "Data shape: 10000 (410000, 8)\n", + "Data shape: 10000 (420000, 8)\n", + "Data shape: 10000 (430000, 8)\n", + "Data shape: 5054 (435054, 8)\n", + "Final shape: (435054, 8)\n" + ] + } + ], + "source": [ + "data = pd.DataFrame() # initialize df\n", + "\n", + "# build a list of the subset of fields you want back\n", + "fields = ['dataset_id','datasetID','id','decimalLatitude','decimalLongitude','species','aphiaID','date_year']\n", + "\n", + "f = \"%2C\".join([f\"{v}\" for v in fields])\n", + "\n", + "\n", + "# The API limits responses to 10,000 entries, so we need to iterate by 10k and use the last occurrence\n", + "# uuid to set after \"Occurrence UUID up to which to skip.\"\n", + "for i in range(10000,size,10000):\n", + " if i == 10000:\n", + " # build url for first call\n", + " occurrence_id = 'occurrence?taxonid={}&startdepth={}&enddepth={}&geometry={}&fields={}&size=10000'.format(aphiaID,startdepth,enddepth,geometry,f)\n", + " else:\n", + " # build url for remaining calls\n", + " uuid = data.iloc[-1]['id']\n", + " occurrence_id = 'occurrence?taxonid={}&startdepth={}&enddepth={}&geometry={}&fields={}&after={}&size=10000'.format(aphiaID,startdepth,enddepth,geometry,f,uuid)\n", + " \n", + " url = '{}{}'.format(base,occurrence_id)\n", + " # open the api call\n", + " response= urlopen(url) \n", + " # read in the json\n", + " data_json = json.loads(response.read())\n", + " # build a mongo dataframe with all results\n", + " data = pd.concat([data, pd.DataFrame(data_json['results'])])\n", + " \n", + " print('Data shape:',len(data_json['results']),data.shape)\n", + " \n", + " # kick out of loop at the end\n", + " if len(data_json['results']) < 10000:\n", + " break\n", + "\n", + "# Need to grab from last iteration to expected size.\n", + "uuid = data.iloc[-1]['id']\n", + "occurrence_id = 'occurrence?taxonid={}&startdepth={}&enddepth={}&geometry={}&fields={}&after={}&size=10000'.format(aphiaID,startdepth,enddepth,geometry,f,uuid)\n", + "url = '{}{}'.format(base,occurrence_id)\n", + "response= urlopen(url)\n", + "data_json = json.loads(response.read())\n", + "data_json['results']\n", + "data = pd.concat([data, pd.DataFrame(data_json['results'])])\n", + "print('Data shape:',len(data_json['results']),data.shape) \n", + "\n", + "print('Final shape:',data.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "b48eb9fd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datasetID\n", + "ANLA:1271:2014 6\n", + "ANLA:1293:2013 63\n", + "CREMPDryTortugas1999 37\n", + "CREMPDryTortugas2000 36\n", + "CREMPDryTortugas2001 38\n", + " ... \n", + "https://marineinfo.org/id/dataset/3128 187\n", + "https://marineinfo.org/id/dataset/4542 299\n", + "https://marineinfo.org/id/dataset/6458 4\n", + "https://marineinfo.org/id/dataset/6656 1\n", + "https://marineinfo.org/id/dataset/961 310\n", + "Name: dataset_id, Length: 75, dtype: int64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_group = data.groupby(by='datasetID')\n", + "df_group['dataset_id'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "87c97c39", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dataset_id = ['4bbfb75e-7b41-4f8f-b475-051d8c21860a']\n", + "datasetID = ['INVEMAR:SIMAC:2011' 'INVEMAR:SIMAC:2004' 'INVEMAR:SIMAC:2006'\n", + " 'INVEMAR:SIMAC:2002' 'INVEMAR:SIMAC:2000' 'INVEMAR:SIMAC:2010'\n", + " 'INVEMAR:SIMAC:2007' 'INVEMAR:SIMAC:2001' 'INVEMAR:SIMAC:2009'\n", + " 'INVEMAR:SIMAC:2008' 'INVEMAR:SIMAC:2012' 'INVEMAR:SIMAC:2003'\n", + " 'INVEMAR:SIMAC:2017' 'INVEMAR:SIMAC:1998' 'INVEMAR:SIMAC:1997'\n", + " 'INVEMAR:SIMAC:2005' 'INVEMAR:SIMAC:1995' 'INVEMAR:SIMAC:1999'\n", + " 'INVEMAR:SIMAC:2013' 'INVEMAR:SIMAC:1996' 'INVEMAR:SIMAC:2018'\n", + " 'INVEMAR:SIMAC:1994']\n", + "dataset_id = ['f5a4799e-dc24-4807-89d9-01da47d52e3b']\n", + "datasetID = ['NMNH_IZ' 'NOAA_DFH-32-33' 'NOAA_NF-18-04']\n" + ] + } + ], + "source": [ + "for entry in data['dataset_id'].dropna().unique():\n", + " if len(data.loc[data['dataset_id']==entry, 'datasetID'].unique()) > 1:\n", + " print('dataset_id =',data.loc[data['dataset_id']==entry, 'dataset_id'].unique())\n", + " print('datasetID =',data.loc[data['dataset_id']==entry, 'datasetID'].unique())" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "da5c64e1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['f5a4799e-dc24-4807-89d9-01da47d52e3b'], dtype=object)" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.loc[data['datasetID']==entry, 'dataset_id'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "aaec5009", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "records: 435054\n", + "Years: 1874 - 2021\n", + "Species: 823\n", + "Taxa: 951\n", + "Datasets: 125\n" + ] + } + ], + "source": [ + "print(\"records:\",data.shape[0])\n", + "print(\"Years: %i - %i\" % (data[\"date_year\"].astype(float).min(),data[\"date_year\"].astype(float).max()))\n", + "print(\"Species:\", len(data['species'].dropna().unique()))\n", + "print(\"Taxa:\", len(data['aphiaID'].dropna().unique()))\n", + "print(\"Datasets:\", len(data['dataset_id'].dropna().unique()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5ee11ec0", + "metadata": {}, + "outputs": [], + "source": [ + "## Just pulling the coordinates\n", + "# base = 'https://api.obis.org/v3/'\n", + "\n", + "# aphiaID = '1363'\n", + "\n", + "# occurrence_points = 'occurrence/points?taxonid={}&startdepth={}&enddepth={}&geometry={}'.format(aphiaID,startdepth,enddepth,geometry)\n", + "# url = '{}{}'.format(base,occurrence_points)\n", + "# response= urlopen(url)\n", + "# data_json = json.loads(response.read())\n", + "# data = pd.DataFrame(data_json['coordinates'])\n", + "# data.shape" + ] + }, + { + "cell_type": "markdown", + "id": "c3c760bb", + "metadata": {}, + "source": [ + "Make the histogram of occurrences" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d2ba4821", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib as plt\n", + "\n", + "data['date'] = pd.to_datetime(data['date_year'],format=\"%Y\")\n", + "\n", + "year_group = data.groupby(data['date'].dt.year)\n", + "\n", + "ax = year_group.count().plot(kind=\"bar\", \n", + " color='blue',\n", + " legend=False, \n", + " figsize=(20, 5),\n", + " ylabel='occurrence',\n", + " xlabel='year',\n", + " )\n", + "\n", + "ax.xaxis.set_major_locator(plt.ticker.MaxNLocator(10))" + ] + }, + { + "cell_type": "markdown", + "id": "ecbb13d9", + "metadata": {}, + "source": [ + "What is our maximum occurrence count in one year?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53f9d75e", + "metadata": {}, + "outputs": [], + "source": [ + "year_group['date_year'].count().max()" + ] + }, + { + "cell_type": "markdown", + "id": "0fb20672", + "metadata": {}, + "source": [ + "This jives with the OBIS mapper!" + ] + }, + { + "cell_type": "markdown", + "id": "69300b6c", + "metadata": {}, + "source": [ + "Now create a GeoDataFrame to perform GIS actions easier." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4e7b7246", + "metadata": {}, + "outputs": [], + "source": [ + "import geopandas as gpd\n", + "\n", + "gdf = gpd.GeoDataFrame(\n", + " data, geometry=gpd.points_from_xy(data.decimalLongitude, data.decimalLatitude),\n", + " crs=\"EPSG:4326\")" + ] + }, + { + "cell_type": "markdown", + "id": "c6d99a06", + "metadata": {}, + "source": [ + "Now bin the GeoDataFrame to 1 degree cells using the example at https://james-brennan.github.io/posts/fast_gridding_geopandas/." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fe75d22a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3377: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if (await self.run_code(code, result, async_=asy)):\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import shapely\n", + "\n", + "# total area for the grid\n", + "xmin, ymin, xmax, ymax= [-180., -90., 180., 90]\n", + "\n", + "# how many cells across and down\n", + "n_cells = 360\n", + "\n", + "# calculate the size of the cells\n", + "cell_size = (xmax-xmin)/n_cells\n", + "\n", + "# create an evenly distributed GeoDataFrame for the grid described above\n", + "grid_cells = []\n", + "for x0 in np.arange(xmin, xmax+cell_size, cell_size ):\n", + " for y0 in np.arange(ymin, ymax+cell_size, cell_size):\n", + " # bounds\n", + " x1 = x0-cell_size\n", + " y1 = y0+cell_size\n", + " grid_cells.append( shapely.geometry.box(x0, y0, x1, y1) )\n", + " \n", + "cell = gpd.GeoDataFrame(grid_cells, columns=['geometry'], \n", + " crs=\"EPSG:4326\")\n", + " \n", + "# spatial join the OBIS data with the one-degree cells for where OBIS data are within cells.\n", + "merged = gpd.sjoin(gdf, cell, how='left', op='within')\n", + "\n", + "# make a simple count variable that we can sum for each cell\n", + "merged['n_occur'] = 1\n", + "\n", + "# Compute stats per grid cell -- aggregate occurences to grid cells with dissolve\n", + "dissolve = merged.dissolve(by=\"index_right\", aggfunc=\"count\")\n", + "\n", + "# put this into cell\n", + "cell.loc[dissolve.index, 'n_occur'] = dissolve.n_occur.values\n", + "\n", + "# calculate occurrence density in km^2 for each cell.\n", + "cell['area (km2)'] = cell.to_crs(epsg=3763).area/(1000**2)" + ] + }, + { + "cell_type": "markdown", + "id": "7ee04f2f", + "metadata": {}, + "source": [ + "Make a map using geoplot\n", + "\n", + "## 7A" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "61cd4478", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\MATHEW~1.BID\\AppData\\Local\\Temp\\11/ipykernel_17416/752472083.py:43: DeprecationWarning: The outline_patch property is deprecated. Use GeoAxes.spines['geo'] or the default Axes properties instead.\n", + " ax.outline_patch.set_visible(True)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:228: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(multi_line_string) > 1:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:239: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " line_strings = list(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:239: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " line_strings = list(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:280: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " for line in multi_line_string:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:347: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(p_mline) > 0:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:385: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " line_strings.extend(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:385: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " line_strings.extend(multi_line_string)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import geoplot\n", + "import geoplot.crs as gcrs\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "\n", + "norm = mpl.colors.Normalize(vmin=1, vmax=1000)\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-130)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "\n", + "fig, ax = plt.subplots(figsize=(16,8), facecolor=None, subplot_kw={'projection':projection})\n", + "\n", + "geoplot.polyplot(\n", + " world.dissolve(),\n", + " facecolor='lightgray',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " ax=ax,\n", + ")\n", + "\n", + "cax = fig.add_axes([0.125, 0.08, 0.775, 0.03])\n", + "\n", + "cell = cell[~cell['n_occur'].isna()] # drop all NaN cells - makes plotting quicker.\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax,\n", + " cmap='Spectral_r',\n", + " legend=True,\n", + " legend_kwargs={'orientation': 'horizontal',\n", + " 'cax':cax,\n", + " 'label':\"occurrence (count)\",\n", + " },\n", + " norm=norm, \n", + " )\n", + "\n", + "ax.set_global(); \n", + "\n", + "ax.outline_patch.set_visible(True)" + ] + }, + { + "cell_type": "markdown", + "id": "ab182e56", + "metadata": {}, + "source": [ + "Add the global distribution of coral reefs in tropical and subtropical regions from https://data.unep-wcmc.org/datasets/1 using WMS services from https://gis.unep-wcmc.org/arcgis/services/marine/WCMC_008_CoralReefs_WMS/MapServer/WMSServer?request=GetCapabilities&service=WMS\n", + "\n", + "## 7B\n", + "\n", + "Focus the extent of the map on the Gulf of Mexico region." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "74b76a14", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\MATHEW~1.BID\\AppData\\Local\\Temp\\11/ipykernel_17416/2901299717.py:89: DeprecationWarning: The outline_patch property is deprecated. Use GeoAxes.spines['geo'] or the default Axes properties instead.\n", + " ax.outline_patch.set_visible(True)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:228: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(multi_line_string) > 1:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:280: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " for line in multi_line_string:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:347: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(p_mline) > 0:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\io\\ogc_clients.py:165: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " for poly in polys:\n" + ] + }, + { + "data": { + "image/png": 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BgYEem7ns0aMH4uPjsXv3bldPJcckJSVhzJgx+Oqrr9CmTRtXT4cQQoiHo+DSTTEMg3nz5mH8+PFYv349Bg8enOeuthNiS61atQBkridzBZZlIZFIcP36dZec3xkCAgI8dt/dSpUqYcyYMZg2bVqeeT5NTExEdHS0oaEeIYQQ4kwUXLq53r17Y8WKFYiKisKlS5dcPR1C3Iq+iZhxU7CcJJFIsHDhQpw9exZKpdIlcxBaUFCQR1dK9OrVCxKJBGfPnnX1VHLEs2fP4OfnB7FY7OqpEEIIyQNodX8uUKNGDdStWxfz58/HsmXL4Ofn5+opEeIW9AFCtWrVXHL+uLg4dO/eHQDwwQcfWDyOYRhDpoxlWZOO2OYyaMbHWrqNZVmoVCr07NnTsP2SEPLly+dQcHno0CF8//338PHxgU6nM3zP+g7garXacKxEIjHcLhaLIZFIIJPJwLIsxGKxYWsqnU5nuICgfxzLsob7tVqtyYdOpzM8TqPRQKvVGv7V/9wYhkF6ejr27NmDRo0a8f+BubFr165h+PDhKFKkiKunQgghJI+g4DKX+P7779G5c2c0bNgQly9fpq5/hCBzj0kACA0Ndcn5Q0JCcPDgQWg0GpPgxZhxgMgwDEQiEXQ6ncltWR8nFotNbs+6RZNYLEZKSgo6dOiAEiVKCPo9BQcHQ6FQ2P24uLg4sCyLb775xmT++v2GfXx8DIGiUqmERqOBTqeDWq2GSqWCQqEAwzCGYFAkEpn8rPTBtP5zhmEglUohFoshlUoNn4tEIojFYsjlcpMPsVhs+L/4+eefrW5z5Sn0a2dfvHiRLVAnhBBCnIEilFyiQIEC2Lp1Kz788EPUqVMHV65coc2wSZ7n7e0NIDPb5iqFCxd2yXnXrVsHAIJvBZU/f35kZGTY/bjt27ejbdu2aNGihaDzcYaZM2eiU6dOiIyMzBXzdVSjRo1w6dIl1KtXD2q1GnK53NVTIoQQ4uHoMmYuUrhwYezfvx86nQ7NmzdHTEyMq6dEiEvdvn0bADB+/HgXzyTn/f3335BIJPDy8hJ03Pz580OlUtnV8IZlWdy6dQuVK1cWdC7OUrBgQTRu3Bh//fWXq6fC26NHj6x2S37w4AFKlSpFgSUhhJAcQcFlLlO0aFH07dsX8fHxaNWqFcLCwijIJHnWy5cvASDPlfvFxcUhMTFR8JJYIHMvSJFIZFeDIoZhMGrUKERERODevXuCz8kZSpYsiaSkJFdPw2FarRaLFi1C586d0a1bN/z000+IjIzMdlFg+/bt6Nixo4tmSQghJK/JW+/IPMTEiRNx4sQJ9OvXDwDQqlUrHDlyxMWzIiRnqdVqzJo1C+XLl3f1VHJcREQEAOCff/5xyvgSicTudZfDhw9Hu3btck0WuWvXrrh586Yh+53bPHz4EL///jvKly+PKVOm4NChQ/jyyy/RuHFj1KxZEzdv3oRWq8W///5LwSUhhJAcQ2suc6ng4GBMmDABjRo1wsiRIzF27Fh8+eWXGDRoUJ7L4pC86dWrVwDerT3MS/QBkbMae0kkEqSnp2dby6rT6RAbG2topJTV8OHD0bNnT7Rt2xYrVqxA0aJFnTI/IRQvXhzNmzdHnz59ULVqVQQEBCAwMBBBQUEICgpCYGAgfH194e3tDX9/f/j6+sLf3x8BAQHw9/d3+dYeT548gZ+fH7Zu3Qogc+3tsWPHMGPGDKSkpKBnz56GYxcsWIBWrVq5aqqEEELyEAouc7kmTZpg6dKlGD58OBYuXAi5XG7IaBLiqdRqNT777DOEhITAx8fH1dPJcYmJiU4dXyKRZCuLZVkW33//PbZt24a2bdti+vTp2dbxFSlSBDt37sTXX3+N7t274/Tp006dJ1+//PIL9u3bh6dPnyIhIQGJiYmIiopCWloa0tPToVKpoNFooFarDR8ZGRlQq9WQSqXw9vaGn58fAgICEBwcjKCgIOTPnx9BQUGGYFX/ob/f29tbkGZsb968QVBQkMltzZs3R/PmzQFkBp/6/VfXrFnD+3yEEEIIFxRceoDGjRtj6dKlGD16NObPn48GDRrkyVJBknfs2LEDsbGxhn0u85qwsDCnbqWhz1wa02g02LZtG5YvX44ZM2Zg37596NKlS7bHBgUFYe7cuWjYsCE0Go3bb5vUrl07ux+j0+kQExOD2NhYvHr1CjExMYiLi8ObN2/w6NEjpKamQqFQQKFQQKVSISMjw/ABAH5+fvD390dQUBCCg4ORL18+FChQwBCA6oNT/dcBAQHZAtLq1asjJiYGCQkJCA4OzjbHkiVLomTJkjh37pzFTDMhhBAiNPd+1SecNWnSBK1bt8b+/fvRtWtXXL9+3dVTIsQpWJbFDz/8ALlcDj8/P1dPxyWGDx+OkydP4ttvv8WMGTMEH18sFmdbc3n69GkULFgQDRo0QJMmTQzNlMzZt28fvLy83D6wdJRIJELhwoVRuHBh1KhRw67HJiYm4smTJ3jx4gVevXqF2NhYvHnzBtevX0dKSgoUCoVJMJqRkQGtVgsfHx8oFAp06tQJ06ZNQ5UqVVCqVCn8+eefGDdunMXzKZVKw/6ghBBCiLN55it/HjVs2DAcO3YMCoXCULZFiKd58eIFAGDSpEkunonrVK9eHQCwZ88eTJkyRfDtSKRSabbg8vr16yhSpAj27t0LqVRqtZvsn3/+iQ8++EDQOXkKfWbSnqA0PT0dT58+xVdffZXtwmHW0tisChQoYFifTAghhDgbdX7xIOXKlUOZMmUAANeuXXPxbAhxDn2TmH379rl4Jq51+PBhFCpUCF27dhV8bHNlsffu3YO/vz+io6OxefNmq3talilTBrdv30ZycrLgc8uLfHx8UKlSJfzyyy+Ijo5GVFQU58eGhIQgKSkJBw4ccOIMCSGEkEwUXHqYoUOHAniX3SHE0+iDnryejQkNDcXff/+N6Oho3Lp1i/PjWJbFmTNnMHz4cIvZR5lMhsjISJPGQQqFAj179sTw4cPRpUsXREdHWzxH9+7d8fjxY3z99dec5pSRkYG4uDgkJCRk26eRvFO6dGlIpVKwLAuNRoMHDx6gRYsWVh8TGhqKjh07Om3bGkIIIcQYlcV6mGbNmgEAli9fjk6dOrl4NoQI748//gAAbNiwwcUzcb3AwEDky5cPu3fvRpUqVQy337lzB7NmzcLw4cPRoEEDvH79GtOmTcOrV69M9nWsV68ejh07hrNnz+Lvv//G3Llz4efnh5cvX+L+/fs4cOAA3nvvPXz00UdQqVSG8tvWrVtj7Nix8PHxQZ8+fbLN688//0TBggUxdepUk9tZlsWLFy9w+fJlXL9+Hbdu3cKTJ0+QkpICLy8vaDQaaLVaBAcHw9vbG8WLF0edOnXQuHFjVKpUSZAuq7mdn58f/vjjD5QsWRIAOG33IpFIcPDgQWdPjRBCCAFj7Spx1apV2b/++isHp0OEMGbMGBw9ehRbtmxBxYoVXT0dQgTVtWtXxMbG4tSpU66eilvYu3cvvvvuO1y4cMGwx+2qVavw888/AwDat2+PvXv3AgDq1KmDtLQ0vHz5EqmpqfD29kZ6ejoCAwORkJAAILOkNSoqCi1atMCrV69MsqJBQUEoX748SpUqBblcjp07dxo6w+qtW7cOs2fPxpw5c/DmzRvExsbC19cXd+/exaVLl6BQKODr64uEhAR4e3ujbNmyqFKlCipWrIjy5cujSJEiEIlEkEqlOHfuHFasWIGoqCgEBwfj008/xUcffYSQkJCc+vG6nQMHDmDhwoVgGAYFCxbEqlWrbD4mMjISs2bNoooWQgghZjEMc5Fl2bqCjEXBped58+aNYa8z6hpLPM22bdswZcoU/Pzzz2jdurWrp+NyZ86cweeff46rV69CJBJBrVZj8eLFWLlyJQAgX758+OSTT1C1alUUL14cJUqUQPHixVGgQAGIRCKkp6fD29sb9+/fx+PHjxEZGYnhw4ejVKlSSEhIQEREBB48eICXL19iwYIFSE5OxqlTp/Dq1SucOnUKt2/fxsmTJ5Geno4TJ07ghx9+MMxNvwdpvnz5UKJECdStWxcNGzZE+fLlUa5cOQQGBnL6Hh89eoQxY8bg+PHj0Gq1aNeuHQYPHozixYsL/wP1QA8ePEDfvn0RFxcnePMnQgghuR8Fl8Sm/v374/Lly1i6dCmaNGni6ukQIqiwsDCMGDECI0eOdPVUXC4lJQWNGjXC3Llz0aZNG0ydOhWHDh1CwYIF8f3336Nz586oVasWoqKisHXrVpQtWxb//PMPWrdujW3bthkynDVr1sTBgweRlpaGoKAgvH79GrVr10ZqaqrhXOXLl8ejR4+g0WhM5lCoUCGkpaUhLCwMGo0Gbdq0QefOnVGhQgUEBAQI9r0+fvwYkydPxrZt2wAAn376KUaOHGkIYol5Wq0W9evXx99//43OnTu7ejqEEELcjJDBJTX08VATJ06El5eXoRyOEE9DAUUmf39/9OjRA1999RVq1KiBrVu34ocffsC9e/fQt29fQ/kkkJlBbNGiBerVq4c6depgzJgx2LZtG5o1a4aYmBicPXsWpUuXRnBwMDQaDT744APMmTMHCQkJ6NGjB5YsWYJmzZrh888/R6dOnTBx4kRs2bIFp06dQnx8PE6fPo3z58/jxx9/RN26dQUNLAGgVKlSWLt2LW7cuIGPPvoIW7duRdeuXXHz5k1Bz+NpxGIxqlevjo0bN7p6KoQQQjwcZS49WJ06dcCyLC5duuTqqRAiqLCwMDRs2BDLly939VRc7uXLl/jwww8BZGYWdTodpk+fjp49e+LKlSuoVasWDh8+jJYtW3IaLyUlBSqVCvnz53fmtAXx5MkTDBo0CGfPnsXcuXPRtGlTp54vN+8fvGLFCmzfvh2PHj1y9VQIIYS4GcpcEk5UKhXUarWrp0GIoPRbkJQrV87FM3G9jIwMDBkyBJ9//jlCQ0Px008/oV69eqhSpQo2bNiAWrVqAYBhDTYX/v7+uSKwBICSJUviyJEj+P777zF+/HgsX77c4vYqfH355ZeoXbs2WrVqhSFDhqB+/fqYNGmSU87lDLVr18abN2/oNYEQQohTUXDp4SpUqODqKRAiKP3+inm5E/LLly8xadIk1K2beZHx888/x/Dhw9G7d29s2rQJNWrUMNkiZM6cOSaPX7lyJd5///0cnbMzTZgwAWPGjMHGjRtt7sFpL5ZlMXbsWERGRkIulyMmJgZarRYMw2Dnzp0YPHhwrgjYqlSpAqVSidOnT7t6KoQQQjwY7XPp4bjsgUaIO1NlaJGYqAIApKelY96c5ahWtSEavNcasTGKHJtHgYJeLt9nMSlBBVWGFnNmLUVAQDAa1m+N9u3a49XzVBw5eB7Fi1ZGQnzmliLB+YINn1csXwfRjxPAsiwYhkHhguVx4+pjHD96EWVKl7FrDr5+MuQL8RX8e+Nr1qxZePXqFf777z8MGTIE69atQ4ECBSwen5aqRnqqxuL9ABAVFYUNGzfg0sW7KF0iDE2aNMG4ceMQEhKC1NRULFu2FJs3b0GPTwfjs88+Q/0G9SFi7LlmywLg9jul0WiwYdNqdGj3EfLnN9qKheE+RrWqDdHlo66oWi0MmzZsx9PoJ/jf/0ZiydLVVn9WtsjlEoSG+jn8eEIIIZ6D1lx6sLCwMAC0HQnJ3R5HpWDTmiheYxQp6Ytnz9J5jTHhm2qQSFxb7LF9QxTu30py+PESqQgatY7XHJq1LodBoxraPtAFMjIy0LJlS2RkZODp06do2rQpvvzySwQFBWU79t+TMTh+gN++j6GF/RHzMsXhxwfmkyEpXsXp2AxVGo79uwC1qnRHwXzlDbcXLe2H6CdpnM/575XV8PYKRlilzoh+cQmnLy5Dx05TIJeXtHv+ehUrFsAP37dy+PGEEEJci9ZcEk7ceU0ay7ImWxwQYolOa/kCWE5ycdJSGFYuJnKl07nH/4c5crkc27Ztw+vXr9GjRw8wDINRo0ZBq9VmO1Ys5vYf+jzmGh5Gmy8lFfO82KDVcP9ZymW+aNNkkklgCXDNWb7zXs0BCKuUuR1J8SK10bPTchQvXsXOUUxlKN2/LJgQQkjOoODSg40bNw4AcOvWLRfPxJRGo8HHH3+Mhg0bombNmti9e7erp0TcmFaAYEaAmAqJiYl4/fo1UlIcz1S5mhA/B9aNg0sAKFCgAPbs2YONGzfi0KFDuHbtmtnnGJGV4PLEhSWIfnUZAPAm8THiEh6aPU4s4nfFQavll0UGABb2/X8kpbxA5Jl5hoA7MeUFIo/8Ap3O/FwyMlLx8uVVq2MqlNbLiwkhhOQdFFx6MH1b/h49erh4JpmUSiXS09Nx5coVxMbGYtasWShUqBC++eYbTJo0Cb/99hu6dOmCIUOGYPr06ejatauhMygAbN68GUePHsXz589d+F0QPliWhbVSfHOEyVzyH6N582Zo0aIFGjVqhKNHjwowp5yXoU7H+WtroMhIdngMd85c6lWtWhWrV69GYmIiypYti4iIiGxNd8Riyy9//j4F4S0PBABUr9gZ9av3N3ucyMoYXAjxu82y9gW41+9sx4uYK0hMfgoAuHhtPW7ePIzU1Fdmj3/+/AKuXF4PnS579ldPScElIYSQt6ihj4dbtGgRxowZg6SkJAQGBub4+dPS0vDkyRP89ttviIyMNNxeokQJ7Nq1C4UKFYJUKsWRI0egVquh1Wrx8OFDXL58GSqVCq1btwYA+Pn5mZTRdunSBdOmTcvx74c47saNG/jf//6Hly9fYubMmejYsSOnx/EJZtb/0xdisRxjR/PbPJ5ldejbty8qVKiAKVOm4MKFC9BoNPDz80P58uUREhJiexA3oFZnIDXtNdRqBbzlAQ6NYe/FAVdp3749gMzuwnK5HElJSSb/TyKx5cfWqvIpp3McP7MO8fFpqF2lm0Nz5Lv+FQBg599H47ojUKPyJ/D3CwUANG8wDpLAeKjUhc0eX7p0MxQrVg8iKz8wCi4JIYToUXDp4T744AMAwHfffYdffvklx88fHh6OkydPIigoCEWKFIFKpUJ6ejqUSqXhTZ+vry/y5csHuVwOmUwGuVxu+FypVOLBgwfIyMiARqNBly5dcOjQIWzfvh1TpkzJtRua5xV3797F1atX0aRJE3zxxRcYNmwYZs6ciTlz5nAOLs0sl7OLVpuBO3fuIiCghMNjiEQiTJw4EREREQCAffv24b///oNIlJm52rRpE79J5hBvryC0bDie1xi5IXOp16RJE5w6dQosy0IsFuPEiROIjIxEQkICJGwxFAqwrwlNmiIej6LPoGr59mAYEQqFlgE0jjdY4vu7DQA6O4N9hmEMgSUAiMUSeHv5IiU1BXK5v9njZTLr3YEzMjTQ6ViIeJYJE0IIyf0ouMwDChUqhBMnTuT4eRMTE3Hy5Els27YNt2/fxqJFixAWFoaFCxfavaUDy7L466+/MG/ePDRr1gxHjhzB5MmTMWXKFPj4+DjpOyB8LVu2DIcPH4aXlxfq1auH3r17Iz09Hc+ePbP6OJZlcebMGWzduhUvn4lRvXIfq8db0ueTdQAANeIderye/k1zu3btkJCQgAYNGiA6Ohpnz56FQqEwbPHh9szEIS9ib+Dmg71oUX8sxGKZzSEsLM1zS+vWrUOpUqWgVqvRqlUriMViKBQKBAcHIyRQiUI17Asuk1Je4FnMFVQs0xpSiRzVKjWBFxPHa45iMQMtj/JY1oH/j1sP9iFDmYxa1TKXTOw/8Cv8/MohrLr5DOytWzug06pRLcxyRjcjQwNvb7rYRwgheR2tucwDOnToAJ1Ohy1btuToeb/77jtUr14dvr6+mDVrFtRqNaZMmeLQm3CGYdCzZ0+sWbMGV65cQVBQEPbs2YP69esjISHBCbMnQrh//z6AzDLoiRMnAsgsjy1TxvzeijqdDgcPHkTnzp3x1Vdf4cmTJ2jXrj3vefDtnJyRkYHmzZujd+/e2L9/PyIjI1GwYEEUK1YM9+/fR9u2bXNNuWhW/r4FUCBfeYhE3K41untDH2MlS5bEzp07cePGDSxbtgylSpUCAKhUKrRt18bu8YoUrIa2738HqUQOAGAEyNSJJfzGcGTdpq93fvj6vtvX8tOu36BylY8sH+8bAh9f66XfVBpLCCEEoOAyTxg7dix69+6NWbNm5Vgjkhs3buD48eOYOHEiJk+eDC8vL0yaNIn32rTKlStj+/btqFGjhuG22NhYvtMlThIYGIhq1aqhfv36KFmyJO7cuYNz586hYcOG2LNnD37++WfcunULGo0Ge/bsQfv27fHTTz+hdevWuHfvHu7cuYNWrT7kPQ++cR/L6pAvXz4MGTIEtWrVQmRkJKZNm4ZffvkFd+/eRUpKCh49esR7nq7g7xuKmpU+BsNwezmwtwzT1Tp16oSqVati4MCBuHXrFk6dOoW0tDRs2fI377GFyFbz3TvVkTLlkkXfQ4XSLQxfBwYWgERiOWtdsmRjlCnT3OqYFFwSQggBKLjMM77++mv4+PhgzJgxaN26Nc6fP+/U83377beoX78+bt68iejoaNSvX9/QnIcvPz8/zJ8/H927dweQuf6N9sx0T8+ePUOnTp1Qvnx5ZGRkoFu3bkhLS0Pfvn3x9ddfY9WqVejRowfq1q2L5cuX48cff0RcXByWL1+OwoUzG4wIsl0Dz4BILBbh+fPnYBgGCxYsQIUKFd7OTYsKFSogJSUFH330ERQKBXbt2mV2X0VPkZvWXJrTuHFjaDQaHDy4n/dYQlRCW9sShQs+fx9JKS+hzDC/ZvTatb9x+tQCzmMpaa9LQgghoOAyz2AYBlu3bkXp0qURHx+PIUOGOK1MNikpCY8ePcKQIUPwyy+Z+6d9/fXXgp6DYRh8++236NWrF9atW4cxY8bg3Llzgp6D8Dd9+nTMnDkTU6ZMgVwux88//4wePXpAJjPNkkRGRuLhw4cYNGhQtmyQViNEcMnv8X7+vjh27Bju3r2Lxo0b4969e9i5cyfKl8/c0H7Pnj0AgPfeew/ffvstunVzrHuoLYp0Be8x+AZEubX815hYLIaXt5z/QAL8KMR8g0uN45O4cG0dbtzdhefP7yLyyDRoNCrDfakpL5Gayr0qhDKXhBBCAAou85SQkBD8888/6N69OyQSCTZs2OCU82zcuBFFihTB/PnzIZPJ8MMPPyAgwLFtD6wRi8X49ttvsWnTJrx69QpDhw7FhQsXBD8Pcdz777+Pxo0bAwDS09ORkJCAzZs3IzExEQBw+vRpsCxr2JPVHCEyl3xLOUUMg3r16uHYsWNYv349Nm/ejA4dOhjub9++Pfbs2YNFixYByFxrGhYWhrNnz/I6rzGdTofTZ87wH4hndJnbM5d6fMtRAQACZC75BpcaHhdfGtYZihqVP8HzF/eQmPgEGUZZzEaNv0SbtjM4j0XBJSGEEICCyzxHKpVi4sSJmDp1Ku7fv4+WLVtm21ycr6NHjyIuLg4pKSlo06YNGjVqJOj4WZUrVw579uxBo0aNsGLFCo/IrHiSpUuXIigoCMuWLcO0adOg0+kwffp06HQ6Tr8bfDpp6vFtQqPvFsswDHr37o1PP/3UsA2JXvv27VGnTh2T2xYuXChYieyuXbsEGYdvD5rc1NDHGkGCSwHw3b6DT+bSxysIYokcVSs1RddP/jBp8mMvBZXFEkIIAQWXeVaXLl0wcuRIxMbGYtiwYYIFmPv378etW7cgEokgFosxduxYQca1hWEYzJo1C/fv30fPnj0NmTHiHhITE7F+/XoAmU2ZJk2axLkZCp/MjB7f6w1c5+rj44PFixfjp59+AgDcvHmT036eGk1m1mfq1KlYvHix2WO+++47jrO1hTKXACCRivkPYuFHwbI6sBz3COG75lKj5vf/ce3WP1i/aarJbZFHfsSli2sMX0dFHcPt29YvblDmkhBCCEDBZZ42YsQI7N27Fw8fPkTTpk0xYsQITJ06FVeuXHF4zL179yIgIABeXl746aef4O3tLdyEbQgODsbu3bvh4+ODjz76CGlpaTl2bmJecnIy5s+fDyBz+wcg88KGPYQqi9VqVVAoHdvwnmt2qXr16oiLi8OkSZMMHY2fPXuGpCTL542JiUGtWrUQFhaGrVu34rfffkNYWBiuX79uOObAgQMAAImEf0BEay4zCZG5tPSTOH91Nc5e/ZPTGHy3M9HqWF7/p2VLNUOpYk1MbtPptKbBMcvaDJYpuCSEEAJQcJnnFS9eHMeOHcMHH3yAc+fO4cCBA+jXrx8mTZrk0HgnT56ESCRC9+7dUb16dYFna5uXlxf++OMPiEQiNGjQADdv3szxOZBMWq0WEydOxIYNGwyZv8WLF2PGDO7ruDLHESBzqWMReXwm9h1wrLEU1wBAJBJh+PDhCAgIQN26dd+d30pAFhcXBwAYOHAg+vbta7h98ODBhs8nT54Mb29vaDQClNjyDC49JnMpRHBp4f+1TPHGKFu8Macx+JYpMwAkUse/F3/fgggKLA0AUKlScejgZNSp8xnq1P3McEyZsh+gipV9MAFAqaCyWEIIIRRcEmS+IZ4xYwb++OMPVKxYEXK5HDt37sThw4c5jxEfH48JEyZAo9FAJpNh+PDhTpyxdWKxGAsWLIBcLsfy5ctdNo+86sGDB2jfvj2GDh2KixcvIiMjAyzL4sqVKxg1apTd4wmx5lKnY1Gt8seoUqmzQ4+3Z11caGgobty4AYlEYrite/fu+Oqrr0yykZnz0mHEiBEAgA4dOmDAgAFo1aoVJk+eDIVCgb//ztyLsXPnzlAo+HeKBfhnHjlWe7o9IbLAWdef3n9yHHeiDqNg/goIzV+R2xgC/EAlEn4Rqpc8s8IkQ5mC1NRXSE55aXK/RqNEXNw9q2MoMyhzSQghhIJLYqROnTpYvXo1VqxYgTJlymDcuHEICwtDhw4d8PDhQ6uP/f7777Fv3z7IZDIsWbIEUqk0h2ZtXo0aNVCsWDGcOXPGakkiEd7x48cRHR2Ny5cvQ6FQoFChQkhNTTWUidpLqLLYwoWro1LFdg493t6yw+LFi2PZsmVgWRbnz59HQEAADhw4gN69eyMiIgIAkJCQgFGjRiEhIQHTp09HamoqkpKS0Lt3b0PGfdq0aYiNjcWlS5cglUpRvXqYyXk0GhUu3vrbZAsJW/gGl56SuRTzyPbpZY0L1WoFNFr7LgLsPbgGaYp4XvPgm4UN8A8EAPgHFMbHXX/Hi+eX8PdffZGRkQIAeBb9H/49/xu0WsvZSSqLJYQQAgAS24eQvKZGjRrYsWMHLl68iAULFuDq1av45JNPcObMGfj4+GQ7/vfff8fRo0dRqFAh9OnTBxUrcrti72wzZ87EZ599hv79+2Pt2rVO2Q6FZBcdHQ2xWAyNRoMxY8Zg4cKFvMYTZJ9LgbrFOuK9997DnTt3AADbtm1D165dER8fb9gb88MPP8SRI0fw6tUrAJlrMOPj3wUbH3/8MQoXLoz79+9jx8ZHuBgXbbjveew13HqwFyFBpVGySD1O85FKJMjQOh4I0JrLd3Q609/NKuXa2vd4VocXr68gOLAEShdr4PA8+G5nIhHLAKNficJFaiI+/iHEYi8AQImSjVEwtArEYssXDakslhBCCECZS2JFnTp1sHbtWuzevRtarRb169fHpUuXDG+Ugcw3y4sWLYKfnx+KFSuGfv36uXDGpipXrowGDRpArVbj/Pnzrp5OnlGjRg1otVosX76cd2AJCFcWa86rV3c5PV7EtwvOW35+fqhWrRr27NljWJPZokULzJ07F7dv38bt27cxfPhwtGvXDmPGjEGjRo2wbNky3L59GyVLlsw2XskidfFRi9mcA0sAtObyLSGCSy3Hn4Vak4EXsTey3S5iRBj+2UJegSUAiHmWxWqybGdSqlQTdOg4HxJJZjApEong45Pf6hhUFksIIQSg4JJwUKJECURGRgIABgwYgG7dumHv3r1ISEjAwYMHIZFIIJFI8OOPP0IsFqC9v4DGjx+P+Ph4k0wQcZ6zZ89i/vz52LhxI4YOHSrImEJkLs0FRPsOTsbREz/iry2DbD6e716Eeq9fv0bfvn1RsGBB1KxZE/nz50fLli1Ru3ZtJCYm4rvvvkOvXr2wdOlSTJ06FadPn0avXr2sboUS4Bdq1xz4fieeElwyDAMxzwDT2s9Cq1XhvxsbkJoeh5ex13H+2mqo1OnZjvP19eU1B4D/76da/e5v7PatnXj9OvMC4v59X+Pc2SWcxqCyWEIIIQCVxRKOChQogGvXruHq1avo168fJk6caLgvJCQEo0aNQvHixV04Q/NKlCiBIkWKIDo62vbBhJczZ85g4sSJ2LlzJ95//30AwInjUfh701WT41iWhUKZBB/vIE7j9uxdEz361eI1t4gphyD1MQ0EWjUYii37v0HD2j2R30dm9fGBcv5riE8cfoB/j8gBlEOvjksAHdD3o7ZYt/QJ1uHJ26Nq4o/5lrOpPQfURt8h1rOU8fHxqFGjBnx8fHD9+nVcvHgR3bt3x4ULFxAaGgqW5bcdCd+AzJ1IywSDVTnegVcd4AW//Oa3W8rI0CEtIwZibzUqF2uCUuWqw8c7MNtxL18/xPkbf6NKuY+QoY7HnQcn0Lhuf3jbEXQ2fL8gipb0c/j7AICVa6OgylAjIfExAvOFICDIC0rlG6SmSREQ5GXz8axA2X1CCCG5GwWXhDOGYVCzZk1cuHABUqkUL1++xL59+/DmzRt88sknrp6eRRUrVsTGjRsxduxYkw6eRDjHjx/HpEmTsGvXLkNgCQBpaSrEx5s2OImNvY3zF35Hi+aT4Guj1A4AZDIJ8ufPvtbXHsmJSqSnmTa98ZEXRf+PMjeKT06w3oQlMND2m2tblAo1Et5kz1zZQyIVI1+I9aBjz76tSFcm4NadyyhUJBgdirTi3TDGU6UqNUhNd3ytoLdcjOSkDAv3SvB+/fEAgORkFQAvJKmyH+vtm4H7j04j7s0zBPgXQvSLC2hUZyjSU7lnAkUSEQICrV8gsUWl1kGpYtCgyZcAgMTkDHT+5A/D57YEJil5nZ8QQohnoHfaxG5yuRwAULRoUQwZMsTFs7Ft0KBB2L17N/766y/06dPH1dPxKAkJCdi+fTtWrlyJAwcOoH79+ib3a8yUtObPXw51avWHj3c+Tufgu54M4F/KKURSJqf64PTq1Qtdu3YVpNzS0/Fdd6kRYD1wiWJVUadabwQFFENogcrQ6OwvL9Wo+ZeOS6UiKJWOj6NUUkMfQgghtOaS5AHly5dH9+7dsXz5cmg0tC5ICFqtFmvXrkWbNm1w8eJFHD16NFtgCZhfLykWS1GkcE2r6whNjhcJ0NWT53YmXOdqDYuciS4lEgkFlhyJxfx+t7g29LGGZVlULNsaoQUqAwAkIvuv+arV/Och5Rlo05pLQgghAAWXJI8YM2YMkpOT8e+//7p6Krne3bt30a9fPyxduhRz587FsWPHULNmTbPHagTYo5JvAADwz1yKeG71AAA5FFsSO/ANqITIXOoESGmbqxCwl0zGM7ikbrGEEEJAwSXJIwIDA1GnTh0cPnzY1VPJtTQaDX777Tf069cPjx8/xqpVqzBy5Egbj+H/plciQFks3wyTEFuReMj2kB5FwvHCxbUzK7BrVS+oFCkmt9u6eKLTaZCU/Nz6MQIEqBqVMGWx1iQnPYfOSsluRobWYzoJE0IIcRwFlyTPaNCA315yedmdO3fQs2dPrF+/HmFhYThy5AinJk5CbCPCN3PJsixY3msuhQgu7ZvD/acnsOPI11BrbDdTIY7hsubyzavbeHL3MMRiGcRi06Y5ahvB5dPnF3DszDyoNZab3QiRuVQL8HcmtXIRR6tR4fSJuYh+cs7qGCoVZS8JISSvo+CS5BnVq1fH5s2bsW/fPldPJdd4+fIlpk6digEDBiA5ORlr1qzBuXPnUK+e9e0w9PbuW489+ydCp3P8zS/fklQhsilC7HNpbwzx9Pl/SE6LgVqdxvvcxDwuwaWvfygCgouhRMVWeBN33yR7p1Zb38akeNG6aNrgS0Q9OYkz//1m9hhzF2A0GiV0LPe/GUEa+lgpixVLZGjYZCyKlchcVx0f/xyK1OwdiGndJSGEEOoWS/KM9957DwMGDEBERATq1KmDggULunpKbis6OhpLly7FkSNHIJPJMGvWLIwcORJisdiucTRqLWDHm2RzuJYuWqIVoOyQEeQynH3zaNlwvBAnJVZw+d3y8s0HqVcQom7sQNSNHShSphnqfjAaAKADA4ZhLGalxSIJgoNKQq1RgoH5CxTmfj+PnVuAAvkroEblrpy+D40ADX1kNspig4JLGj4/sv8rAEC33htNjqHgkhBCCAWXJE8ZN24cNmzYgFevXlFwaUZSUhJ+/fVX7Ny5EwzDYNy4cZg0aRK8vc1vFG9LixY9IRa9x2tOvMtieWRN9YQpi+U9BBEY161IkuIevvs8/onJfVKpCCqV9QxmwZCKKBhS0ex9WjOltdUqfgQ/nxBOcwMAtUBbkdiDYbK/faDgkhBCCJXFkjxFLBajSZMm6N+/P6Kjo109nRzx+vVrPH782OoxLMti165d6NChA3bv3o0+ffrg8ePHmD59usOBJSBMQx8xz46eQmQuBSmLpWYnbodrs6iW3ZcZPq/f6iuT+6z9fj57cQmbtg9GzOvbFo8x1xSoUIHK8PMtwGlugDB/Z1yDyzMnfkbNOgPwaa+12e6jjrGEEEIoc0nynCFDhuDo0aOQy+WunorTabVatGjRAgBw7Ngx5M+fP9sx6enpmDx5Mk6fPo0mTZpg2bJlKFWqlCDnFyS45BnYCbHmUph9Lom7kXLMistkMnQevMXsfdayn/mCSqJA/goI9C9q8RiNjXWbXAiy5pJjcFm4aB0E5ytp9j4KLgkhhFBwSfKcSpUqwcfHx9XTyBGHDh0yfN68eXOcPHkSQUFBePbsGbp164bU1FSEhoZCJpPh0KFDaNiwoaDnd4fMpU6AvTaFaehD4aW74VoW6+gYPj750fL9iVYfL0RgqBZgzaVUyu13vHTZZhbvo7JYQgghVBZL8hyxWIyQkBDcu3fP1VNxOv32K2XKlAEA3L59G/PnzzcElgDQqFEjPH36VPDAEgA0Gv5ZGb5rLrlkLmPe3MWDp6cs3i9EcEmpS/fD93dLiDHUAvyNCBGg2mrowwUFl4QQQihzSfIcsViMoUOHYtmyZWjSpImrp+NUQUFBGDduHG7cuAE/Pz8MGzYs2zFr12ZfOyUUIdY7inluRcJlDq/jHyAp5QXKlTD/+yBAVSzFlm5IiMwl38y62kYzIE5juKChjzkUXBJCCKHMJcmTSpcujejoaEP2zhMtWLAA+/btw7Nnz+Dv74+IiAiT+8ePH4+EhAT4+vo6bQ5ClMXyDQC4ZC6rle+AxrWHWryfoYY+HonvNjeAAN2MwfAeIycb+lhDay4JIYRQ5pLkSdWrV0f9+vXRsmVLnDt3TpCGLe4iPT0dK1aswIoVKzB48GBcvnwZMTExOHr0KACgQoUK2LNnD8qVK+f0uQhRFisS8Q0u3WTNJe8RiNCkAmQuRQ5m1lmWNTzvSKUis1uScCVE5lKYslg17zEIIYTkbpS5JHkSwzCIiIhAwYIF0adPH1y4cMHVU+KNZVls374d9evXx/LlywEAO3bswIMHD5CSkoKEhAR06tQJN27cyJHAErAvo/LXloHY+HcfJCY+N7md63YRlghRmivIxQdq6ON2hCiLdeTCQ7oiAXsPf4vXb+5nzkMq5jUHjSANfez/WZw/sxj7dv0PaWmvAQAZGfwvJhFCCMndKLgkedqWLVtQtGhRfP7557h586arp+OwtLQ0jBo1Chs2bDDZlzIuLs7w+cKFC7Fz505IpdIcm5fWjuAyMKAYAMDLy3S7lJxo6GOLIFuRUGzpdoQoixVxGOPU+V9x98G7zs1e8gCUL9MCgQGZW5TwLUnNya1IjOXLXw7+AUUgkXgBoMwlIYQQCi5JHieXyzF9+nSIRCLMnDkTKpXK1VNyyMyZM/Hw4UNUqlQJCoXCJMAEgGXLlmHMmDE5Pi97MpdtP5yGXt3Xw8vLC69f38W5f38Dw7C8AztBtiLh2VQIAFgqjHU7QmQuuazHffLsLC7f2Gj4WiQSo0LZ1pBJM7dE4t0USKPjvdUN161IjBUqUgNxsbcR8+oGAGroQwghhIJLQiCXy/Hjjz/i/v37uH37tqun45COHTvixYsX2LZtGwCgRo0aAABvb28sX74cn3/+uUvm5WijEUYkhlgs5d0pFhAmcynITiT8Y1wisJwKLtu2mI5OH0ZYvJ9vBpXVATqe5d/2rLm8e2s3zp36BXKZP6QyP8hkfgCooQ8hhBAbDX1SUlIMn1fbt8bkviXiVnafrEyFABQr5Wf34whxtnbt2mHt2rWYNGkSpk6dinr16rlsLk+fp+NeVIrtA02UxnfT/sahQ4eQmpKCV7GZa7nCw8MxdKjlLqjO1r5DJSgcymbUAPAJxBIWj5IvmdyTGJ+ExXP/wOjwoQgMDrA5UoZcgk/71HRgDu8ULRnE6/EAUK1mYXh58euhVqR4IO95kHdqVC4IMc8rB1JxAspUsXVUAYv3aDRq3L+XhKiru+DrXw4qtRiVKlfCndt3AAD5Q0JQsmRJiG00tlJrdbwyoBKpCCVK+li8PyrqMTIylKhbtw4O7j2MtNQEVKo8Ebu2xSM1+TIqt2wBmUSEzWsvOzwHAChdPj/qNijBawxCCCGuw1grpZFIJOzq1atRtWpV1Dy0AT8dOYsPK5RCveKFMeB0mN0na/txCYTVyW/7QEJcQKFQ4IMPPkCHDh0wefJkl83j1L9xOHQiltcYF08vQ6miOhw7dkyYSbmIWpeBszGbAADNinwGANh0fg7mTVyN/45lluIdf/Gn1TH8pQVQK6S9M6dJ8rB7iWfwSnHf4v06nQ6zxq5A18GtUKlGaQCZzbd+GL4Ubbo1wvPHsdiw9CwYWT6UrdsNwYUrOTSPyf1KIsDH8YsXygwtZv5yl9Oxqow0qFVp8PUviJjnV5G/YCVIpHKUDPXDm7tvHJ4DADRqVhqfj/Ps/YcJIcTdMAxzkWXZukKMZfUyZ7FixfDDDz+gUaNGAIAbr+LwOCHZ4ZP5+NHOJ8R9eXt7Y/r06fj777+Rnp7usnloNPzLOHVaNfbu3SvAbFyLNVNLWrh4AUNgCQCr5m3H2cNXzD5erdKAgedsM0Pcj4ix3ulVma7CsT3/IXLHecNtZw5dRtTdZ0iIS0a7Hu+jY9+vUbfTZIcDS4D/84Y927LI5L7w9S8IAAgtWgMSqRwAoBKgsRCt2ySEkNzN6qtJSEgI7t27h5iYGADAxj6d0K16RYdP5uuXc10qCXFEw4YNIZfL8eLFC5fNQe3gOsVXz6/gXOQ8nDwwDSNGDIWPj+USt9yCxbufBQNAaqaEMTU5Hempymy3x76Ix6CW3+Hqf7lzHS3JHUSM9aDMx88L++8vw8gpPQ23yWQyyGQS/HvsBnz9vVG0dAWb57l2eBHunllt8X41zzWXYjEDLlvKpiS9wKUzy6HVZDY/u3RmOU4fng1Wp4NKgH1tlQrqOEsIIbkZp1Siv78/Zia2wp2bMbxO5uNLmUvi3nx9fVGnTh38+uuviIiIyNFtO/TUDmYg0pJfISX5BViWRbWqjl8EcifGZfuN29ZGwSLBAGyXwgJA/tAg9BndERWrlHHW9AgBA9t7VIqyRG31mldDrSaVwb5tNiXh8NKYGv8UGemW1xirHLwoZUwqESFDZX0cnVYNtTrdUFWgykiFWpUGFjpkqPkHlxmUuSSEkFyNc7SXlKjgfTIKLklu0L9/fwwfPhzz58/HhAkTcvz8jnZYLVu5LcpWbotzR+diw7rl6NS+vsAzy3nGmcvvl43ktKegnlgsQtvuTeAjy/0ZXOK+bGUuLZFIxEaf2z6+Ufe5Vu939KKUMZnUdnAZmK8k6jcba/i6wQf/M3yuUusg4zkHBWUuCSEkV7MjuMxedmYPuZcYEp4bRROSExo3bowVK1Zg1KhReP/999GwYcMcPT/fN4mVqn+CzwZ9INBsXMt4zaVU5tjFKcbBN/+EcMHYWHMJAFqtFqO7zMBn4z/Csd0X0LBVDTy6/QxBIQEoWCQYUwZ9hiIVmqP6h2MNj2FZFvHPryO4SFWIRLbPIURwac9elxp15nsCidQLV/9dhQxFCt5rOhpyBuCz5SZlLgkhJHfj9K5LpdIiPY3f5vLUzIfkJu+99x5+/PFHDBs2DP3798e5c+dy7Nwank0xgvKXRtmy5QSajWvpwL/Ujxr6EGcScXgZTU5Ixa1LD7Fj7TEEhwQgIMgPMm8Z5k1cjdJVSsDLxxcFyphWGiiSX+FG5K9IirnHaR5811wC9jX1uXJ+BS6f+wMA8OjeUTx7fAYsy0Im5/daT2suCSEkd+P0KpAsQEmsL5XEklymbdu2iIqKwrJlyzB06FAMHjwYY8eOdfp5hSlvs53pyA1Y8P9ZUHBJnMlWt1gACA4JxJGnKyAWvzt2TNeZAIDudf6H4JBQFC7XEBd2z0Lc43No+8V2+AQWxnsfT4eXXwineThaTm9Makd1UYVqHxk+b/fpEiTGPwYjEkEm45d9pG6xhBCSu3F6JRFkvSV1iiW5DMMwGDVqFK5fv47KlStjxYoVOdJFNqffJLozc1uR2IvKYokzcSmLBWASWGZVs1FTAEDc48wKiSd3TgAAvP0LgGG4XRzJ6bLYgKBiCAgqBgCQe/khtEg16HQaPIw+A63W8UonrUYHtQCNgQghhLgGt+Aygd96S4DKYknutmLFCgCm3UudhTKX71Dmkrg7LmWx5hx/8SeOv/gTfoE+OLpz89vBfACxF0pWamr3eDldFhsfF4W9fw/H65c3wbI6sCyLtJRYnL/8NxJT+F2Ey1BQ9pIQQnKrHMtcUlksyc0kEgkCAgLw888/O/1cwmQuPSS4FCBzCQouiRNxKYu1ZtSUnihaqjQAoO3IDWg7YhMAYP/iLti/uAvncYTJXHIPLu9e+wdKRQLu39qL04dn4d6NnfAPLILBfRYhf1ApXvOgjrGEEJJ7cYr4EhOoLJbkbd7e3mjWrBnKlHH+nomOvknUaDJw6cwyVKj2keeUxQrR0IdjWSEhjuBbdt2+V1NUqNYbm3elZrtP4uXPeRxhMpfc/1YafDAeKYkvERBcFM+f/IuAoKIAAC8vbwD83jNkKC0El3MmAOERvMYmhBDiXJyCS77bkACAL5XFklxOo9HAx8f5eyZyzVxuXd0DANB1wF8AMoMoicQLIpHEc8pihVhz6WDZIiFciMD/b00iyR4Ytv1iOwAgOe4R1MpU5C8WZnUMdQ6v1WYYEdJTXuPwzv+hdKW2KFryPQCA2I7SWkuU5spi50ww/ZeCTEIIcUucXgXs7Ra7uvF1w4cerbkkudnz58+xb98+NG7c2OnnsidzKRLLDZ+LxTLUbvQ5gvIVh1jsGQEVrbkk7k7kQOby24EL0K7iCMPXYrHl3/Pnd44i+sZ+m2MKs1bbvu8lMfEJAODxvSNgdZnBrUiA5x6lPnOpDyTNmTPh3QchhBC3wS1zKURDH18qiyW519OnTwEA27Ztc/p2JGqO+1zqM5Z6t6/txO3L6zMDzpXdnDG1HCdMt1gKLonzcO0Wa+z0gSsAgOePY1G0VEGIJaa/58q0BKjSk+DlFwyZVwDK1+9jc0xB1lzaURYLAJWqfwS5dyDUGclgRCIolcnQwo/3PMxmLgkhhOQKOdfQhzKXJBdr2LAhBg0ahBUrVuDNmzdOOw/LstA4+CYxuGAFAICffwEhp+RSlLkk7s6RbrFfzRmACtVLYHzPOYh++Apio7JYrUqJY6sG4sxfY/Hy/km8fvwfdJoMm2Oqta7Zwqh0+eaoUK0zAODg1i+xbuMk3vOoe2qxfWWwlL0khBC3YTPiY1kWSTwb+kilIsjknrEGjORd48aNw+HDh/HkyRPkz5/fKefQah0PpwoVqoSuA/5CviBvQefkSjoBGvpwvIZGiEMc6Rbbqc8HaN+zGW5eeIBiZUIR99zo91wshUTmCzAMCpSsh5LVO3IaU5jMpeN/K0plIoLzl0GVKvZvo2KVcVCZNcDMGnhmDTJpXSYhhOQ4m8GlUqGGSmXfhsYDTps2HvChbUiIB8nIsJ1FcFRObyfg7qgslrg7R7vFisUiVK+fWW0gMSqLFYvFaDVsvd3jCfPc4djfyuEdXyE5MRpFStaHn18wIMRTJJfA0PgYc9lLCjYJISTH2XxVFGS9JZXEEg/AsixiYmKclrUEaI/LrATZioTKYokTCdEtViQ2/3v+4L+/8fDiP9CquZTF5nxDH71K1T9FQHAJNGj+P1Sq5PymZ4QQQtyXzVeSREHWW1IzH5L7PXr0CCKRCIULF3baOYTp+OhBwSVLay6Je+O7zyWAbA19AECn1SDu6WU8urwTx9eOwJNr+6yO4cqqh2KlG6BV5zkAgKl+h3jPY33w24Zk9nSD1WclwyMsZyipuywhhDid1ZSiWOSNxPh0+AfIrR1mggWQnJQMAPD19QHAIDCfjM8cCXEL/v7+UCgUOHLkCLp06eKUc2jUOnh7WQ8OtVoN0tLSodPpzGZR/Xw95++NYRhIRdyff8wRizzn50HcD8OKIAa/31GJiEGArxQZimQ8vXUcZWu1x4v7l6BRJKJh+3E4ufUHJL24Bk3FJvDx9YVUkv2l+9TORSiia4y2bdo5PA8GOvh4O3ZxKiNDib8rXwWQuR3ZF9frOjwPjY41CQITU21nboOWTjY9dtQ0BP062fzBRmMnf/mjxTHFCg3EKn6dayW+XpD4ePEagxBCchOrwWWlIsNw7/ZrLF7T3a5B09PT0axZM9StWxejRo3iNUFC3EWBAgUwcuRIzJgxw2nBpU6lg/hVutVjxABk+j/d5ynZ7vfK5+uEmblGYZ8KKOxTwdXTIMQiViPG8hFqXmOElhCj3/hkXD97G9cO70XXudXh41ceLx6PgTpDAzHbEKNnDoLMiwWQanaMNUm+OHUgBQ8v3XB4HrUaSzFrbpLDj8eSd5/a+77B2JGrL4CD774OWjoZTRM+sPqYE8HIPGZG5Nuvj3I6V8DCKRhQw3wg3O74C2DhHm6TtiBs8meoOtH2VjKEEOIpbNbABAbaf8XNx8cHe/bswf79+7Ft2zaHJkaIO/r444/h7e2NL7/80injazjucWmNxIMa+hDi7iQClKFnKDKb5oU1rIxFe6fDP8gPYokYxcsVRZmqJTF+/nCIxCIsDP8dD248NjvGRwM6oHCBKrzmoUznX1orBB+5e/RpUHnzX9KjTk4TYCaEEJJ72HwXGhDkWDlHwYIFsX//fixevBhnzpxxaAxC3E2hQoWwYMECHD9+HBcvXhR8fEEa+sg8Z80lIe5OJGLAtyGxPri0hQUAC+uQxfwqcwEASv4tFgTh7cBzmHFmk2vWUm/11Qtmb1d58Q9yVUkUXBJC8hbbmUsee+ZVrFgRW7Zswbfffou7d+86PA4h7qRmzZpo0qQJfv75Z8HH1qiFaMpBwSUhOYVhGN7Zywyl7YtKEqkEY+cMRbmw0mbvF0n5P3co0twjc+klE6NpwgcmH/YwPj5ryeuAGnXNlsGaCzAzvPkHl5S5JITkNTafOR3NXOq9//77WLx4McaMGYM1a9YgNDSU13iEuBrDMBg3bhy6deuGpKQkBAYGCja2EJlLIcr0CCHcSSQiqO3cD9qYTpPZ1ZjFu+CuU6n+AIBdj9dYfJxGo8HH5QYBANZcXAwgwOE5AMIElylKFfzkUsd7NM+ZgEoAAPsCyqx6e7eAtEJmc0FLayqzyhpgzg2uymsOAKBOMr9GlhBCPBWHzCX/Lmc9e/bE6NGjMXr0aKSm0hMtyf3Kli0Lf39/HDx40PbBdhBizSWVxRKSs4RY5yxibP/d7vhjPzqV6o/jO42WmryN4nz8vMB31x1lOr/nn3OPniNgykI0WLyO30QEoLLdYNYmhY3O3VxQ5pIQktdwyFw6XhZrbOLEiYiKikJ4eDgWLVoEqZT2viS5W/v27XH58mV069ZNsDE1LtyrjhDiGImEfxDCZLnWay5j+TL6dea/T16/Pa8Eux69O04iYXiV1mcoWbAsHF5D+kaRuWhTJUAFhn7dpD0lsSZrLXUArnLPWma1Z88eTDk+Bxt9Wzn0eD01rbkkhOQxVt+FanUqyAXq2sYwDJYsWYJ8+fKhf//+uHHD8XbphLiDFi1a4OLFi2AtNNhwhCCZSyqLJSRHSSQCZC5tFxJh+A/9sOvxGvQc/ZGT5sGAZR0fo0OVcmAjwnF53ACe83jHUnOeE8FHs32YY6lZj56lNZgdj98CAPRKO2znjE2pKHNJCMljrEaOGp31/fbsPplEgu3bt2Pt2rXoGX0JiL4EALjRrr+g5yEkJ9StWxdJSUl48+YNQkJCBBmTgktCch8hymIZHkHdu3kwAM+Or6xOBIj4Pw85LDwCAND8m904lu8EANMAc8eOHehy+h4QEc55yNVXL5ht7MNVr7TD+N2rKfzEMs6P0aPMJSEkr7GeudQKG1wCmRnM/v1Ng8mdO3cKmv0hJCcwDANfX19Bt9qhrUgIyX2kTiiLXTdvCzqXGYCLJ64hOSEl2/HpqUqolKosg/B//mC1/ILcdZdu4nF8Eu95yC0E7F1O3wMAMBPm8D6HNWyW4HWj+oFD42gVGdCpNUJMiRBCcgWrryJCZy4t+eeffzBo0CDcv38/R85HiFC+/fZb/PTTT3j8+LEg4wmz5pKCS0JykhCZS2TJXAaFBEIkFuHoltNYMH55tsNHffg1xnWeanLbxu1fI+rZOV7T0Or4fS9LzlxB5MOnvMYAAF8vmdn1luW9M+e3vXEFAMi2ZYmj25foy2ONM5rGAeYgaUVHvg0AlL0khOQt1stitTmzo/K///6L3377DcOGDUOnTp0wfPhw+Pj45Mi5CeGjZcuWCA0NxePHj1GqVCne4wlRFivIG11CCGdCNPSBTgQYDdNxQGt0HNAacS/jkWomOOnQrxV8/d813FMqlUhIfoard7aiTLEGjk9Dw6/l7KmRvaH5aiKvMQDA31eOuFQ1miZ8YFIWe++H8Wia8AHmAZiXYH2M8e81Q1yG9cDOUsmsfq0mGxGOTT9cduh70FMlp0EeItyWVYQQ4s5ydM2libfrKoDM19ORI0fik08+QdeuXbF69WqMGDHCeecmRCAsyyI9PR1jx45F5cqVIZVKsWTJEnh5eUEisb8ZFm1FQkjuI0zm0nxQF1I4H0IK5zPsewlkdpJ9eu8ZdDoWK2ZsREZ6ZnnskD6LoEoN4jUNHc+yWJGIAQv+ZaA+snfPn/ZmIfWkNrZ30QeQlgLMNW16GL7m0zWW9rokhOQl1stinbDm0prQ0FAAQFhYWI6elxBHMQyDVatWYdCgQbh9+zYuX76Mhg0bolatWoiMjLR7PD5lsSpVGs5eWQWtVoAN3gghnAnRLRYcg7r3R1YDAAyZ0gfDvu+Lxh3rAQAC8vsBIp4bXQLQ8shcrr5wA5Ui/sCrVy94z8Nbzv8imRjucaGNymIJIXmJ6zKXZiQnJ+Pq1atYsGBBjp6XED6KFy+O0aNHQyKR4M8//4RcLkf16tXx5ZdfYvTo0Rg2bBjnsfg09HkWcw0Pn57AzdtX8MGHVR0ehxBiH0mWdc7Jqa+g1iiRP6gU5zHYLH/6vWqOQInyxTB78yQA2fe9DAj2N2Qzh//YHx36t8KaLx/DG/zKLzUOBpdFlzxEklIJqVgMH1/7u6pm5S3jvw2a2ML1c1vbk+jvPwfgHu9ZAGrajoQQkodYffZ2RrdYayIjI1GzZk14e3vbPpgQN8IwDEaOHIlevXph5cqV2LRpEwDgl19+wcWLF/HkyRMsXLgQFStabwrBpyy2TPGGKBZaHe83bu7wGIQQ+2XNXN56eADKjCQ0f28M5zFYnWlQl5qYhlv/3eX0WJmXFABQqEhBJPFMGmrVjmcuxzSpizFN6iLdT4jgUoAOvGa2dzEXWOpLYrPed/dtQx8h1lwSQkhe4RbdYvX279+PBg0cb0RAiKsFBwdj/Pjx2LdvH3r06AEfHx+cO3cOz58/x6effoqwsDDcvHnT4uM1an7dYmUyX0hl1NCHkJyUNXNZr1ovNK7NvWIBAFitaVDXc2wXfL/6f1YfM3nFOIAB3rzK7GxTslRRu85pjppHcMlMmANmwhywLP81l0IEl9Bl/16M11Zm7Q5r7thtDwJ4T4PKYgkheYlbrbk8cOAAGjVqlKPnJMQZQkJC8N1332HHjh3o2rUr5HI5AgMDIZfL0bNnT7Rp0wY6XfYspRD7XGZ9o0sIca6smUuxWAapxMuuMXRZ4rE+Y7uiTrOaVh9TqXZ5lChfFA0+rIPLJ29ALLXrlGZpVPzXbSpV/DvNe8v5l8VCK8AaVB857zEouCSE5CVWg8t/uzfJqXngwYMHSE9PR/ny5XPsnIQ4W6FChTB16lRs374dzZo1AwD4+/vjxYsXaNiwIVJTTbsIChFc0j6XhOQsqQDdYrNmLrkICPbDrwdnwi/QF0sm/YnHTyxXRXClVvEeAlIBglwhMpc6Gz/TrGWw5rKYGm/+3wytuSSE5CVWLw3W/SsSF8KtHSEcfdaSYfhfaSTE3RQrVgw//fQThg0bhl9//RWHDx9Geno6mjRpAq1Wi/r160MikaBoQDd4yfLxOhdtRUJIzhKiWiBr5pIrfVOfP88vhPJaBZx5/JrXPIQILnltRTJnAgBgIIBVcGwLEj2thgHMxIbG+1ia24bEWK+Z4wyfO7odCa25JITkJW6zOGv//v1o2LChq6dBiFOVLFkSERER2Lx5Mxo0aACRKPNP8Pz58zh9+jS0Wn5rLgFhsiiEEO6E2IpEy3OZYv7QYEhk/C/OqgUoi2VZtWMPfBtY6p0IPsprHlorWzsZB5Srr14wfJi7ny91Iu1zSQjJOwRY1MCfSqXC8ePHMWHCBNsHE+IBypYti99//x1RUVHYvHkztm3bBoZhkKS8gup1m6FkyZJ49vw59u7Zg/iEeABA3z59Uax4McMYOh2L1NRUvHr1Elu3bsWsWbPg7e2NgED71noRQvip/V5xBOXj1+VcpVUg6ZH9L8lf/DgV186cRdKjIlCIZCjxXmZTnxcvX+LhgwcoU6YsgoKCOI8Xe+01nj1Ntnsexq2EghbtBMKFWVYzuqXjnWeDCmiQ7mtla5arlu8qk/oINWvUxOCze1DoEr+9g31KhPJ6PCGE5CYMy1q+sle3bl32wgXr+0EJ4fjx4xgzZgzWr1/v9HMR4o4yMjJw5MgRbNq0CXfu3IGPjw8+/vhjDBgwAIGBgahRowZYlsVvv/2GRo0a4erVq+jbt6/JGMnJyfD393fRd0AI4WP7oftYufk6rzHKVymAK8+SAABqRQqiTq9D6Ua9IfPhvvdlq9j7KLRut93nHji7DvbdiYJEJELrCqWA8Ai7xwCQLXvJ9inh2DgAlN4FES9LsHpM0SUPzd7+fGRZAIBMVAgFvD9yeA6EEJIbMAxzkWVZQUo23CJzeeDAAdSvX9/V0yDEZeRyOdq3b4/27dvj8ePH+Oeff/DXX3/hr7/+QtmyZbFo0SKMHj0an3/+OapXr45r164BACIiIqDVarF48WL4+Pi4+LsghDhKKkBpLYwuFus0KihT4qBVKwFwDy7VEscb2Oy9EwWZWJwZXPIRHgE2Ixp4s4PXMIxOaxI86gNGY8a3GR9bdMlDPB9ZFiwcLPElhJA8yi0WZ+3fv5+2ICHkrVKlSmH8+PE4duwYpkyZAqlUivDwcAQHBwOAIbBkGAaTJ0/Gzz//DAD49ddfXTZnQgg/QnR5Nt7dSO6fHzU+ngzvQPtKMlUix+axauJF/NKlFeZ14teEx4Dh36VVpNNi4t5j+GLbIYfH0Dm6fpQQQvIoq5nLCz1aOH0CaWlpuHHjBsLCwpx+LkJyE5lMhrZt26Jt27aIjo7GP//8gyNHjiAjIwNKpRItW7ZEwYIFUaBAAWzYsAHe3vzWfBFCXMfRzOWu33sA0KBRp+koU64xUmIf4dnlPajc5guHxlOL+Rc07d6Wjo6OdJo3Loll+M9D9uc1/HH+OtRaHRZ/3Nrm8eYymywrQPtcQgjJQ7g9exs/4Tu6jsICHx8f1KtXDwcPHkSnTp0EHZsQT1G8eHGMHTsWY8eOzXbfmzdvMH/+fPTo0SPnJ0YIEYTjZbGZbWbP75uOOo324m7kMiQ/v4VyHwyGVGb/BSeVAMFlx4/tKNHXv78Ij8j8mDMh82PcdwAAZv1TAI6tvdT0L49Y7UjD1/pSV3voQMElIYTYw+VrLhmGwYwZM9C/f398I3m38P5Gu/4unBUhuceePXvQuXNnBAQEuHoqhBAHyewoi9WoFFCr0uHtlx+Q+AKaNNRu+T9otSxqdZuGlFdRDgWWAJDhYFksAMSnKpDPz8EKiiyNfJj5002/Xv+Uc4CpD0glAJ6PrgDg3XpK+wNMHVhWC4YRZ5sjAMEvuBNCSG7n8uASAJo1a4Zy5cq5ehqE5Dosy2Lnzp1YtmyZq6dCCOHBnszl6d1ToEx7gzb9VqLTwDWG23VaHcRiGYKKVnJ4HhmMY8HlQvYqBv8YiReTRqBQoJ/D5xceA4Df/sE6qCAGLTsghBAu3KKhDwD89NNPrp4CIbnOrVu3oFQq0bRpU1dPhRDCgz3BZbUGn6FK/ezVPVqt5SDq2eXdeHnrqM2xHc1cdkBJsAAK/7QUDx48cGgMW5j1Tw1ZSc6PQWZjIHvLYY2xrNp81hKwfDshhORR3DKXOVD20aBBA+DkVqefhxBPsmPHDgwcOBAikdtcJyKEOMCebrH5i1RFfjO3a9Q6M7dmUitTYG1faz2lyLGCpnJMkCFBOHDPGZxgWTAM49BYfBmXzzKQgM2yblJfIss14JTMm277IEIIIQBsZC7r/hWZU/MAADzs+jlqbzyMhltP4vHjx4bbq+1bY/gghGTKyMjAvn378Nlnn7l6KoQQnqRS/heINBqtxftKN+yF4rVtN81zpCxWx7KIa5d57ulBwKAXVaFTa+wehyt7spciiFF0yUOTPSwBHplMWmNJCCFWuVW6o2zZsvj333/RrVs3DBgwAMuXL4dabbrHFAWZhGQ6evQoateujZIlS7p6KoQQnhzvFvuOWmM5c8mVEtyDy3hWiYnsGezEQ0zYexwA8F1iZrCpSVNyG8TBYI1rgBm65IpD4xtTjjPa1sVcGay+w63+gxBC8jC3Ci4BQCKR4H//+x8uX76Mhw8f0vYKhFiwc+dODBo0yNXTIIQIwJ6yWEuslcVypROJwHCciw4s4pGBAzAN9EQMA006x+AScPtsIG1HQggh3FkNLi/0aOGyq3AlSpTA7t27qdEPIWa8evUK169fR9euXV09FUKIAPhkLuNeXMfdS39DrbZcFmsPRi7ldFwI440vUR33vxmW7T7OmUs9MwEm+9l7NrcfMZfBtNX4x96SWJZV2z7IGGUvCSF5GPeV+8ZPljl0lZFhGHTr1g2Jia0R9PuMHDknIbnBzp070a1bN3h7U3t8QjwBn+AyQ5EMZdobaHUsRAyge9tY5/q+RQhrNwbHfxuCwmEdUaFRF5tjaVTpSJBqEcjx3NWY/CgenP1oTXoG92/AAubPf63f/zaANA4k9cEoM2EOMAFgI8J5dYrNXKv50OZx2cyZ4PYZWUIIcQa3K4s1JygoCAiPwOlGH6Hyyl34YO9/ePHihaunRYhLsCyLXbt2YfDgwa6eCiFEIFKJY2Wx1079jkuRP0Ms9gIDQPa2pDVyXme8vnUIkQs+hTY1Bs/OroBakYx/14xBQvR1i+M9Pvc3fk+9zPn8A2fXyQzk3lrJtADgQOYyKyevxbTFXBMgu9EaTEJIHpQrgku9xo0b4+rVq2jZsiV69eqF1atXQ6NxXkc6QtzRpUuX4OXlhffee8/VUyGECETmYLfY4hWaQyzxQrEKzQEAUnHmOKWbDQUAVO/4LriRyH1RJOxD+IVYbgJWsl5XDChYz6G5GLNrzaUTsBHhAGAS+BJCCHE+xtq+V9WqVWNv3Lhh+cqbC0s+7t+/j6FDhyIuLg6TJ09G1apVXTYXQnLS1KlT0aBBA4SHh7t6KoQQAXX5fKuhpNVR8qL+iE/hV5L62Z4tSLvzAHJGbvW4fexj/MNEmcxZn7lsse1HlPyosf0n15eT8sz4sX1KQFR0NADgR39g0MtlNh9jNVPJd05UIksIcWMMw1xkWbauEGNZvVQaFxcnxDmconz58jh69Ci++uorjB49GuvXr3f1lAhxuvT0dBw5cgT9+vVz9VQIIQKTOFgaa0yfueTjz+jTGIHT+I49Z/W4LYiyGAw7XBabJYiz1dCHiykp5gNHfekr5xJYfYAYHmH+c0IIIdaDyzdv3mTbZ9KdMAyDzz77DOfPn8dvv/2G2NhYV0+JEKc6cOAAmjRpgkKFCrl6KoQQgTlaGmtMImZ4jxGmKwgRgPawXD77fcB/yBpX6rOWAKB1tCzWOLD8/BNeayg/qOdn+Hz37t0m99m9ntJ4/SStpSSEEIusvpLJZDLs2bMnp+bisNKlS2PQoEFYunSpq6dCiFNRIx9CPBefjrF6Eo6ZS61GBZ3WfM+Chg0b4w+mBRoxhc3e/zkbiadJKSa3GQeWAKDm29AHAETctkSx5Mj2mYbPO524zXc2hBBCOLD6KhQUFITff/89V5R8TJo0CceOHcPDhzy7uxHipp48eYJHjx6hQ4cOrp4KIcQJpFL+ZbESEbfM5e39C3D/6HKz97EymcXHDZxdB1zqmbRCbEWydBPvMd48X232dnu2J4kZZaXBEWUxCSHEhNWGPn0/XsMCgEgkwpoG17Ld3/98DbOP8/GWQpmm4j25pet7wNub+5XLefPmYc+ePVi0aBHvcxPibpYsWQKpVIqFCxe6eiqEECfYUnUgUu495zVGcM2yiL9i+yJrFJsEOcQoyvhlu69gg0p4feYW8LbwVf82gQWLIezRbMevFLXMdlv1b3ujzrRB9k0eMC2L/Wq2YQ7M3K/tGuZGu8x16ckX7qPR63drR1d+ewki5l0A/tlPteyfo50+O1sdIhGDFZt7g2H4lS1r/hoNpMfzGkPcfgqY0Iq8xiCEeBYhG/pIrJ8oM7FpKf5kLazk9/aWQMGzW51YIoKXl9XpmZozAeMBjG9XF9i3xuSuG+3685oLIe7g0qVL+P777109DUKIk0gkYkCr5TWGWMSA4TBGWeiDyuzHikQikxd+Btn3s9RbybQw+yZBkMwlw2Se3c7MoPFrvtjbCwBQdPI8lM2fHwO1YWCNVouumngRA2fXsXtuA06HGT5f3djyvqFA5nslrY6FKkMDuRe/Ul9IvSy/KeOIVaWD/8pcQggxj9PijLUNs2ctrfGyI9toiZ+/nPcVPkI8hUajwY0bN1C/fn1XT4UQ4iRiueVyVK4YAbrFZo08BrGR2QLLFgjNts7SmEaA4FIIIp/M7VReZOhw8sVrl85FkS5Ag0SpN/8xVGn8xyCEEAsEeBXKTibjv27Ez5//iyxAWUviGe7fv4+iRYsiODjY1VMhhDiJSJ55YdaRTJoeI7L+sj6IjcQgNtLWKNCxLA6yTy0e25exvre0RsGzoY++14MdWcuAactw9cM+JreJveVYNfGi4Wtz34/x/fbcpzfgdJhJJjMrfWYzXYDgkpH58B4DGen8xyCEEAvsqDvN1O9sdduDCrBXl5+/9c2bCclLrl69ioYNG7p6GoQQZ3gbQHXoLAc6ZwaW+gDTXHAzApHIeFsZmTV7yLxt6PMlewIdUBIfMpa3EzFHf9645lWw6LcbwKvsxwxCJZvj8Nrnksv9ZoLO5MnDcUNs+v5D5JP9QvUgNjLbz03/c84a2NsT6A84HWa1RNYkc5l1/lwbJwoRXKoouCSEOI/dwSUXIgH22bI7uMzyxNymTRvUrl0bfSwcTkhucv36dXTs2NHV0yCECC1LkPHvv/8CAOpvOQ4AYCPCTQLMgbPr4Pn+ZEyOvICifj5AlgpHFu+yc5vwEB+iJBLYDIjAIJCR4Rc0QRSSDcdfY+NQGgH4z+sU5k8YZXZdpZ61MtiseJfFcs1YhkdYPVbknfleYiXTwiRrGdosBjHHQ20Ob2lN5urG181mK60FmEqF2vJc50zgFmAKUBbLUlksIcSJnFIWy/BcbA7wz1zOmTMHK1asQGpqKu+5EOJq165do8wlIXlA/S3HDYGlJd+1/QBsRDieTRmV7T6F7l12LAINsId9gok4gw24g2/Zs4hCMsKYEMMxC3ANX+IU1imBAj/+avGcc9EI+9knsNZh3pgQDX2EIJKKwcgyr6N/UauM4fYOx27m+FwEWXNJmUtCiJuzGVwaN/PRl8SubXjN5CMrnYUusvbwC+AXXFavXh1t27bFqlWreM+FEFeKj49HfHw8qlSp4uqpEEKcyFzWUH/bwNl1smXQjEs59ff5SuT4Dc2xkmmBEMYHheCNovDFz5+3QiyjROp7mcdzWXu5/O04K5kWeIE0XEIcVNBx+l406TzXXFpiJvOnHvsT/H5YgjONu5h9iPhtU5/aV0qhq1HVrK3vX//z5bLu0pi5NZi/17uCYntm2TWOOYKsuaTMJSHEiezKXHLtGqvRcHvxsUaINZc//fQTNm/ejJiYGN5jEeIq165dQ926dTO3ByCEeBYOpZDGQdCqiRcNH8a3GZMyIgycXQfbCv6HkmHJCAnW4v3fNkHHsvj932tWS18B4NfqPbGSaQEJ8+45pxqTH98ydSBnuPVU4F0WGx5h+WdjHGDOmQDpgklInToSAQEBZg/Xd4wFgH9mhls9bdafpbmgnivjADP4p9UoMfM3h8YxQZlLQoibE2TN5dqG10wa/agy+O3TBQgTXBYvXhxDhgzB0qVLaX9AkmtdvXoVjRs3dvU0CCHOog+i3gZ9TRCK7iiJYn0Kouv63RhWq7LJ4ZaCHcPtHTL/3RWTgl0xKTZPXwRivIDWsKYyvywIbxDryHdi4IqtSM6cOYNGjRplu13s/a6pD5cspH6dpa2g0tK6S2P6+2tX7gbffHHWT8xl3aUgay4puCSEOI9TGvpkKPmvKxCqW+y3336LsLAwbN++HV26dBFkTEJy0vXr1/HJJ5+4ehqEECc7+8Ui3P51u+Hrj2tUBlujsuUHWDB0ww78ceUep2OrhwRj7JtaJrfpNBq7z5mV1lllsVZ89913+Oabb9C6dWuT240zl65SpngjtO9SBXj9F7+BqCyWEOLmbNbZcdl6JKv0NPcJLoOCgnD48GH8+uuv2L9/vyBjEpJTNBoNbty4gfr167t6KoQQJ9Pvc8mXrcDyd6O1lFkDSwBg1fyrjwTrFqvP5HEoH44N/wzjNC+xbds2k9vFAgaXWTOVqxtft7r9iDGFQv2u3NdS2a+tLrlUFksIcXN2L+LSl8CmpGdg2dkr2e5nGCA9TcV7YkLuc1mxYkUcOHAAEREROHbsmGDjEuJs9+/fR7FixRAcHOzqqRBCnExsI7jM2mDG3PpLAJheoaDhc32pqz6YXMm0gJix/tKvVfPPXGrSlZw7y2ajD7DmTHhXKsp1axIAk71SsHbtWsPXjmQuLTXzsRRIcgkwzXaLNRdk6r9vMwRp6JOR7vj/DSGE2OBQWezahtcQNG0bklKi0ax0UVQuVMBwn6+vDEvDLhi+trUewRIhg0sgs3vsnj170L59e8jlctrWgeQKV69epd9VQvII4+BSy2rRasIGdEUZeDPZg86sQY/+65D3KqHI/WpYyQDL2Bv4hj1rdX9KlmVxH0kogwBDAx+din/1EavVQafWQCwTIBtrR2CpNzuExfDFizFq1CiIfGQm9xnveTlwdh2r6zDtaeZjaw2mQmHh52rP3pdCBJesFtBkAFIv/mMRQkgWdm1FYqxp/dHoXbMSKoWGmNzu4ysze7y9fP2EGcdYvXr1sHXrVnzzzTe4fPmy4OMTIrTr169TMx9C8gjjstjziMURPMdOPLZrDFb7rlt7PJRIg/VAMRkqrMBt3EaC4TatAH0TANc09TF27tw5zJo1y2rm0lbnXCG5zT6XAJXGEkKcxuE1l4H+hbG+dycwDGO4bW3Da5hX5gzvSfn4yiAWO2fbhffffx/r16/HuHHjcPNmzm+iTIg9KHNJSN4hlr+7qNqIKYyRqIpPUcauMXTad+slv2XqYhHT1OrxgYwc4aiJasj3bowM/ktbAAeb+ljLUnJYd2nsSp8Psb5mUXSqmxnkPmNT8St7HRrW9nZpjm4/Yq08VmkpuOS67QogSLdYABRcEkKchlMEZ29Tn9jUNLxMTnVoQoDwJbFZtWnTBn/88QdGjx6N+/fvO/VchDhKqVTi5cuXqFzZ/m6RhJDcJ+uay7pMKMQc95XUYzX2N+MJYbxNLhRrhMxcWlk/aJa1ANKB8li9gbPr4AricB1vkAKVSamwrUDSXNnsgNNhhg+uLJbF2oERiQGJ+fdIkjfFsn1YRB1jCSFOwnnNZdYAU6VSoNOBEAQFFMl27IQ9x6FQa/BX386Gq3j2PAH7+QtfEptVly5dkJ6ejhEjRmDFihUoWbKk089JiD2SkpIQHBwMkcg5WXxCiHsRolusToBmPDqlMJlLjXHmkssejk7WkSmFjigFAEhn1TgxohfeL20lAHsra/Cpfz9jaY2lpdsFKYsFMktjNZZLjo1LfdUrepk9hlWlgzF7DyGE8OPwu9Y9kd9iz5FvzN43q31T/NzpA4cn5ezMpV7v3r0xffp0fP7553jx4kWOnJMQrhITE5EvXz7bBxJCPIKtbrFc6ATYRgQARDL+22C7es2lNecRg1HbDkGnY8FMmGNo8ONMCoVamC6tFtZdavI/4z4GZS4JIU7icHD5Xs0BqFjWdKNifXazkL8figb6OzypnAouAWDIkCH46quvMGzYMLx+/TrHzkuILcnJyRRcEpKHCBJcqvhnLgFA7MW/gsjdgkvjDGQzFMXgV5Ug/nquxePvxcbj2ovYbLcb721pvMbSVoWWVqODWm1lvWfWzK6ltZhCrLvMoDWXhBDncDi4LFqoJupW78v5eK6bDAM5G1wCwNixYzF06FB8/vnnSEhIsP0AQnIAZS4JyVsEKYvNweDS1lrFbA19uK6ZNBdQCVRSq5+ziGEQwMjARoRbPLbuL2vQ4Nf1nMbNGlhaes+jTLdRcqwPKK18v9b2utSXxA71htXvjRr6EEKcxWrdS0LyLTRs1MiuASc+rYHbN6NQo2YNTCt8yuS+shVDLDzKVEhBP7vOKYRJkyYhNTUVw4cPx++//46AgIAcnwMhxpKSkhASwu1vhhCS+7HBQfBrWY/XGCKZFIUE6Fsg8WehTlZYvL9F3czy24Gz6yDygvmmQ8Vvb8sMkoyDSiHWXmYd006+1UuZfK0PwnZve/f97t6mwOfFm0Oh5RasmwsmVze+jl/R0fRcds7VwOjnlhhSFjBTXpv/+ruL478rgOUAkopYyKZKvZHf0bkQQogVVoPLRy93YFb33nYNuHbpXQQHlMLTqCSgsOl9D+/GcRqjcTP7Wq8LZcaMGUhLS8MXX3yBZcuWwcdHoP2kCHFAYmIi8uenl39C8orUkBBsKlqb1xgymRgbl3/Cey5p6v3QIcXyAQv+M3xab52FORsd407Srj1+90Wfd8+xnc4uNny+kmmBKgDAs+3NqHDrW8E44ni+Erigzd4caAayV17Ny2e+WWFdnyB0FXxmhBDCoyzWEkX6u6t89nSINeabA91izWEYBgsWLEDNmjUxZswYKJUO7NFFiEAoc0lI3iKV2LftiDlqtVaYpjGwPpeUsfVM/rWIR4bR4jhCjQnz24yYO8ZwnHHZqnEG1to+lXznq3/823+9xObLp79tVvPdF82Kmn6dhdJMcEoIIUKwGlyqVPa3I1cqTDvVObIXlK9fzq65NCYSifD777+jZMmS+Oqrr6BW0xMwcY3k5GTKXBKSh0gk/K/3siyg1fIPLhk799c0R/W/weaDLi7Blgu2LWEjwsFGhJvsgWlMMcBMh3zjINPWHp1CBMVzJkBuIbgEgG/Or8/8iLD+88vQCLPdDCGEZGX1lSw6OhopKVbKYrLQallkKE2DS31XNePuarbkdEOfrMRiMdatWwd/f39888030GiEaZBAiD2oWyzxKPo31wJmnTyNRCpMMZFakO1IrAeX/m9LXv2tlL6yeDsPcw1qXPR7YC1TyUyYA2bCHIuNijSpltegcsb1+zb+W8nys/MSSzHj+BUAwIzjVwyf20NBmUtCiJNYfSULCAjAhAkTOAdXSoX147hmL339XFMWa0wqlWLz5s3QaDT4/vvvodNZaR9OiBMkJSVR5pKQPEQqQOYSAFQ5EFxyI8yem87GpTQWANQpAgSXjjIKMC2VxdqDymIJIc5i9ZWsePHikMlkmDdvHqfBjNdbmsM1g+nKslhjXl5e2LlzJ54+fYqtW7e6ejokj6GtSAjJW4QoiwUAjYb/xVCG45pLwHL2ks0aXNpb6sr1eBtbdwDAqq8vWQ0ije/Tb+eRlZpL5pLDXGxmL7OuLzXOYIZHoM6fvwGAQxlLvQwtlcUSQpzD6isZwzDYsmULzp07h82bN9scTJnO7SqltQymSMTAx5f/VTmh+Pj4YPXq1fjll18QG5t9M2VCnIUyl4TkLUI09AFyLnNpu6mPAPOw1EDHmLVy67ePk/h6WSx3NXe7udvUKXbsDWlrr05bc7biwbD/cZ+HBZS5JIQ4i83LpMHBwdi7dy+WLl2Kf//91+qx5jKX5pr5WMte+vrJwDD8Wn8LLSwsDMOHD8fMmTMF6sJHiHUsyyIhIYEyl8S5cnIdJIfN4fM6ocpi1WoBMpccG/pY6xbLsmaCy6wBlrNk+V3rNzlzY5GsQaP+64Gz6xj2u7SE85pLc39TlvbmdOA2uViCb5vVNHSDtdYV1hK1TguNLneULRNCchdOr2Tly5fHxo0b8fXXX+Pp06cWj1NwzFxa4y4lsVlNmTIFT58+xaFDh1w9FZIHKBQKSKVSeHl5uXoqhJAcIlhDH40QQYMQc8l9zfD0HWPNcemaSyPWusXag7KXhBBn4Pzq0bJlS3z//fcYM2aMxQ6yCisNfSxlMLNy1R6XtsjlcqxcuRKzZ89GUlKSq6dDPFxiYiKCgoJcPQ1CSA4Sas2lIJlLARr6ZFtzqZcT2css2cPt6xMAZG/eY2kdprnbOa25dIRxBYG1n4dhn8t375McyVrqZVBwSQhxAok9B48cORI3b97EhAkT8Msvv0AiMX24Io3/VUo/N81cAkDjxo3xySef4Oeff8YPP/zg6ukQD0brLQnJe8QiEUQiBjodv+UXuaJbrL5M1J4yaXsCUf24bx8j9fMGkFn+umriRbNrKm11jeVcFmuuBFbAIFqIbrEAoKC9LgkhTmD3ZdKFCxdCLpdj3rx5qLZvjcmH0ka3WC7cYRsSa2bNmoXz58/j3LlzJt87IUJKTExEcHCwq6dBCMlhQqy7FCJzKURwaTFzqefM9bdZgrkOH71bYmCpsY8tnBv6WAsk7fmeLewPKhWJIQL/3hRUFksIcQa7X8UkEgk2b96MU6dOmdx+o11/KBQCrLn0d9/MJZC59+eyZcswbdo0V0+FeDDKXBKSNwlRGqsWIHMpRFkszDX0ycXUqUpXTwFAZid/IdZdUnBJCHEGu8pi9YKDg9G/f38ApiUitva55MLPzYNLAOjYsSM63j5hclu1fWtwo11/F82IeBoKLgnJmzK3I+H3pl/Nd5/LORMgA2CpjijrHpeWOsayQjf0sdRx1RIzx+pLXy1tP2KtNFadaiNzyWVuXOdvI8MpF0uh4LlXJe11SQhxBoeCSwBo06YNcHq7yW1c9rm0tscl4P5lsQBypm0/ydOSkpIQEhLi6mkQQnKYEB1jHc5cGr22MRPmGD4PCwnAtQmfG772X/CfycP0X2cPMp2QuTRTJmq4ncNrsz6AtLTu0nhNZtZA0+qaS6HfFxh/X2bu82rbnPcpFJS5JIQ4gcPB5XvvvYfAdu2wY8cOw5tgQTKXbtzQh5CckpSUhBIlSrh6GsTT0Z6TbseeNZf/VL1g/o5zF4BzNh5sKUgzI/pNssnXxoHnByUKIvKLAQCyB5k211zyYa5hjp2ZTWsBpv5f4wBTkK1IHM2+Gj8uPALyW/y3RVNSQx9CiBM4HFxKJBI0bdoU58+fR4cOHcCyrNWtSLhy161IbKGSWCKk5ORkKoslJA8SajsSvtiIcKSMrZctS5nV0aexVu71tDWX7rHPJSBMx1jaioQQ4gwOB5cA0LZtWxw+fBgdOnRAhlIL1sIyj6z7WVorjfXNpZnLR48eoXTp0q6eBvEQSUlJyJcvn6unQQjJYZlrLi37p+oFvEhKxaXnMQDKOn4iS9mztxlNjS4G0J4wu56SRTiAdxlMfRCq/1o2AYhT/Q1AB5ZlwTD8O5uanae578FCGSnwLlNpruTVVpksYKFbrL3lsPasuTQ+NsvnA8Bvj0vAqCzWxu8CIYTYg1dw+eGHH2LatGmZWUsz6y2zBpVc+OWGzGWWJ9wFCxZg/Y8/YsWKFRCJ3OOqM8ndKHNJSB40ZwLm+AGfoG62ktdPbr67bdvNe1hz8SY6VimLT27WzTZM1scWXbAez8f2sXn6J91HQfriBSQSCaTydEh8zB+nDziTx/5tetvbGEUFIEDWHWxEOID/XBekZAmabG1BYqnZT7bH2QoQ7S19dXCcGcevGD53JNBUalXUQ4IQIjhewWW5cuUgk8kQFRUFH3khw+3mgkqdjgXDwOYVzNyYuRw9ejQ2bNiALVu2oHv37q6eDvEAiYmJlLkkxBNxeDNvbi2l8W0jG9bCId/P8MlN8xdj5/u2QeumoQAAlUqFVTVaYV1sLGLffszKr0Pnk3ew8/1KqPjHDmg0msyPBesNn1eqUgT7I6fY9a0lqzKDzQBZltdBa81p+MiyDtHWceY6wZrLWFrrKGv1HHqOBmzmvgchxrVAqVULFwgTQshbvIJLhmHQunVrnDlzBo3rd7Z6bPuVW9CyXEnckA62Mh7g45sLMpdZiMVirFq1Ck2bNkXTpk1RqFAh2w8ixIrExETKXBKSR+nLSzMzf2buZxiIJZZfKzVa1vC5TCZDkSJFUKRIkXcH7FuDGTNmAPvW4J9//jE7hkSWASDK/skjM8i0tVYzN7BUKuspMjRvy2IpwCSECIhhWdbinXXr1mUvXLDQje6tzZs349dff8UXn0/DxbOvMbO4+RZ1HfYrUa5MdRTIX8ziWDK5GBN+aM1t5m5o6tSpOHnyJBYuXOicNSbEY/1zPPbdG0IW2LVrF/r27QuRiPvvUcdmZVChZLCTZkjcwf799xD1KJ7XGAFBXkhI5dcl0s9XioG9a/EaI0+x8427ueDy18DmGJV0DGuLW7+QCwD+0dEQnb5m3xyzkBfyQ4Vvm1k9hmVZ3Lt3D2fOnEF8fDxat26N5s2bw8fnXT2tdN4Sw+cdzv6HvduOYfvppahatSrnuWhZH6SrM+z/JozEP8zA9W0Ps90+NuQeAGBBXAWrjx8bcg8L4irgixmDIBHbWP7iSKBmb1Y3yznmFWtp9yl9ZXIM/6S53Y8jhHgehmEusiybfZ2FI2PxDS7fvHmDUqVKIWXKCLP329rX0ljBQv6Ys6wL5+PdTUZGBmrUqIEhQ4agbdu2rp4OyUW+/u0BdDz3PZ88rD4a1igszISIW5r380n8998zXmOUr1wQt6Le8BojX5A3fl/QidcYHo9jgNF01zmUK1cOpUuXRunSpVGmTBkEBATwOvXrrWfx+PtNvMaQ5PdHraPTOR9/69YtrFu3DidPnkT//v0xbtw4lCpVClff7EC6JgEA0KjQQMPxX9evhs47xnMaW4TCiFG8tu8byCI5NQR/nOI1BABgz6BW8JVxKPqyJ8B0oFz45NGHeP/Cbya39Ttb3eyxaxteM3u/f4AcS/7sZve5CSGeR8jgkldZLADkz58f5cuXBwAcuPsIh+8/xpyOHzg0lq9f7iuJNSaXy7Fq1Sp06dIFDRo0QFBQkKunRHIBnY7lHVgC9u2PR/IwxvIFRT1zzWSMsbA9Rp5jZ7bqk3MPMXDgQCxxwjZWIjn/bSpYlX1bi1WpUgUzZszAq1evsGHDBtSuXRstWrTA+HndAK/MY95rVRH/Hr4LAJh1/gZmrrllePzZ/lUsji1EIZBIpAVgvRMvFwq1hltwyZWD61C9vE3/j20FlvrPjY9TpNNWJIQQ4QnyblSfpVNrtcjQOP4uOTeut8yqYcOG6NatG+bNm+fqqZBcwnh9FB/usj8ecW9WilW4jyHAxZC87ocffkCpUqWcMjYj5R/86DIcCzwKFSqE//3vf9i3bx/Kli2L69duGO5bsO5rnHm1Cv6yzMCImTDHUAJsjRCLTMQiYfbcVKjdY+9Ob2/HLiAYB5sajQ5qN/l+CCGeQ5DLb+3atQPO7ULHKuXQsUo5u0phjeWKbUg4mDlzJqpUqYIzZ86gUaNGrp4OcXManTDBJWUuCRdCvFHXCRGhehKOWcsjtdsgNDTUyZMBRAJk1liVhtcelb6+vujXrx/S/O9Bh2ST+w48XW5SIgsADd9mMbNmMDNvf5fh3NnNfIbOFrFIA4D/ewylxigYM/5/z5qB1H9t7XeDR/dcbx+pxWylLcYBJhYYfU77WhJCBCDIu9H3338fU141xIDTYQ4HlgDgkwu3ITHH398fv/32G6ZPnw6Vil/jDOL5tAJlLim4JFwI8dtmba1+njJngtngQTn6R3yXJEO+mX9gyN14HKvXHjfa9c+RwBIAGLkwZZv2lsaaI2LMl6KeebUKZ16tMjQtGrlpD5gJc9BwzS1DoGlO583X0Hmz/c2KRCJhSkAVags/Ewu/C1bx6NCatSzWEuMA1NFglBBC7CHYwgGxSA4gldcYfrl8zaWx9u3bo1KlSti1axc++eQTV0+HuDG1RqCyWFsdDInH2VT7MnpeEr5ra9Y1llnl+djSSlBwpHYbDKtaFeXKlcPmzZtzLKA0JhKgLBbILI3lvX6Ttf68pM9ULn1bHstMmIMzr1YBgEmQqS+f7RlWDhv7fZwtwLSV0RSJ+AfKgFFZrKXfAWft6ZmFPWWx/c5Wt9jUxySLacxaVpYQQqwQLLhMTeGfofPxoOASACZNmoSBAweiS5cuEIv5NxIgnkmoNZeUuSScCPDrphOolNsTDRgwAF9//TWaN2/Oe6yMjAxMmzYNDx48QEBAAAICAuDv7w8/Pz/D1/rbjL8WCfRU4Oi6S2MMy62sNnzeAMwZv9oQWOrLZrPu9fk8KfMitteEOcgwc78lIhELsYiBlufvrtusufTh37SJEEKcQbDgMi2V3x5UAODrAQ19DOZMQDMAUSM+xbzDh9GmTRtXz4i4Kb5vdvSooU/esqn2ZShVGvSS/oWPwipwzmAKseYyz5bFWslYFpzzJ9q1a4etW7ea7PPoqLS0NIwdOxbFihXDn3/+icTERCQkJJh8xMTE4Pbt24avk5KSkJiYiIBEDaaAf0d5NkOAbJ+NzKXex32a4+M+zbPdfrZ/FUiYfNmuiWR9x8Elk+klESONR6nvsZRI7FNXy/wiPMJ6WSuPklcu5HIJGIZbFYHF7CSAC01Ho+6JXzK/mDPB/PeVQ9lYQohnECS41Gl1SE/jn7n09feMNZdZrVq1Ch9++KHDjRGIZ6PMJXFU6LTFSM5QY0CdqtjUA5wCTEHWXAowRq5jIVhouuscEhISsHjxYlSpYnk7DXskJCRg1KhRaNCgAZYuXWp35UvC7SfYXnUQ73noVAJkLh1s7aDPYGbSYme36ui8+ZohaBRPEkGrfte2OGvXWRamGc2d3arDSyKCPW9VjqVEorl/C8PnANBu1yKgkoBBlj6gs5NIxEDuJYVSkfl/pFSlIi0tDvmDS9k1jiKd4w/E3BwdnDshxLMJElymp6sFWYPjUZlLIzqdDmfOnEHjxo1dPRXihjQCrbmU0prLPGFT7csAgGSlEmkZashEDH5snbPPLWxeKou1EFSqx/6EsmXLokePHujbt69gSx9evXqFESNGoGvXrpg1a5ZDFyUlXsK8lupyMHNpdYi3e98YZyO33ludeZv+hiz/TY0XrsbpLwfg4z/+AgBsA7CpaDFO59MHklk/N3ByVpIrb+/M4FKhTsc/e0ZCJJKg90crsx1nrZFPuvFel/pAkUvAqP8ZZP1ZULBJSJ4nyLtRIUpiAcDXw9Zc6n3zzTdYuTL7Ez4hgHBbkVBZbN5y89UbFAn0w+spI1EiX6Adj+T/+5ZXq2KN/fXXXyhSpAgGDBggWGD55MkTDBw4EEOHDsXs2bMdrna5de+OIPMRZs2lEM9Lttc57ni0FjserUWb/JkVUKe/HAAA2H7vKbbfewoAkHvYc6R+3eXr2FsAWPh657d7DEW6MF10CSFET5DMZWqKUMGlB5XFGl2966XR4LvvvsOVK1dQs2ZN182JuCUqiyXZcOjUuODURUQnpSLs59V48t0IzkNb+m37p+oFw+e2usXmmX0urWSoZs+ejREjuP/cbblz5w5GjRqF6dOnY+jQoQ6Ps3PnToz6bCh+RDXec2IFCC6FyFxqtNxrWUde+AMjkZnRNF6HmVk2OwfNlu6z+nizmUpnc7C81Ms78y1ciaJ10ffjtQ6dusvjtcJmG2l9JiF5niDvRoXoFAt4buZSIpEgPDwcq1atsn0wyXOEKosVU1lsnvJX387wEYug0GqQb+oi3I55w+2BHLt3Wh0irwSXFhys0QoqlQrvv/++IONdunQJI0aMwOLFi3kFlvrHz5rr2Bv7gbPrmHztyjWXxhTKNIcet7Nbdex4tBZBkne/88dSIg0fWeVoYJk1+HKg1Nae7UiyWtvw2rtGP87Yn9ORfT8JIR5BkMylEGWxYjEDuZdgzWvdzuDBgzFt2jTcv38f5cuXd/V0iBuxlLnct+RjAEC7kdtsjiESMRCLqGGUW7G2FonHHnLGTXvSZo7HtZex+Pyfg5j0qAFknK7PcQ8M927+Amq1Eh/1/sN0BJ2FB3gSS2+MwyMwu2VL9OvXT5AmbSdOnMCUKVOwYcMGfPjhh7zG2rJlC4oXL47QYkUQbedj9YGl/t9VEy8KtOaS/8/I21uONB5vM1bfXwMAOHmzNHBrh+F2fTCpb9rT3L8FtwBT/zdrqbsqFwIEXo5sR2K2c6y9WUZ7vmdq+kNIniPMmksBMpe+fnKP7qbq7e2NL7/8krKXJBvjNZf7lnxsCCrtQSWxeVf1wgVx9ou+kMn8BB9bmf4aWnVKttvZvNkvFkBmlvHmzZvo0KED77H27duH77//Hrt27eIdWALA4cOH0alTJ/Ts3QusABeb3KUslhFBkCD1dcxz3mMAcJuMnBePzCUhhDiL26y59IiSWBtd00aNGoW5c+ciJiYGoaGhOTgx4s4slcVyyVjqUadYN8P3zSfHK/1c97Y0ZikstLXO0mQMNrM01mMvCFrJWkb07Ik+ffpAKuX3xv7vv//GihUrcOTIEYSFhfEaS08ikWDq1Kno0KEDLtYPh8zM9WPj0tdVEy9aHU/HY09IPWEa+gAiMNDxvKgR/zoGzQNNtxbJKuvWI8a3AUCNwsFY+FH9zC/MdVe19rfPZW9Ma+WyWe6ztyw2a9ay39nqKF+xAKbYNYr5uWRDay8JybPcpizWJzcHlxzfSAYGBqJWrVq4d+8eBZfEwLgs1p6A0hhlLt2Am2Qz9PRblgCmQShjx/vzrgP+sngfywIeGVtaCSyjoqJw8OBB7Nmzx+HhWZbFH3/8gZ07d+LkyZMoU6aMw2NZUrduXdwNCoAqIdXiMcyEOWAjwq0GmEJ0ixWoQCozSGX41WNXqVwe515kfq4PGDN+7I9zL+eggFyCKgt2GY41DiiNKTU2OtdmDSDtDa6slZFmuc+eslhzgSUApHPd59JeFFQSkmcJk7lM5f/k5OdJnWIBi0+spUuXxosXL3J4MsSdCbEVCW1D4iKOBpROeONlHExaw6VbrJ61bGZmUx8Piy6t/H+eOHECvXr1wrBhw+Dv7291mKioKMTExEChUJh8KJVKREVFISoqCqdPn0aRIkWE/g4MxF5yAKbBpT5rmdk5NfPflYz5ICrz2EfAvkdWz3OjXX+r9wuVuWQE+F3zkjLI+hdw7uVrAMBrjutLFWrb26IYAkxzf+fG6zWt4fDc4u3FLbg0Diyz7nlJW5EQQoQmTOZSgLLYXJ25tEPp0qURFRXl6mkQNyJEt1gJlcWSHKZjWQizu2Pu8Omnn+KHH36w2SE2KioKffv2Re3ateHr6wtfX1/4+fnBx8cHfn5+aNSoEVavXo18+fI5db5iufnAY8aRk2ZvXzXxYrZusYJwo+BSYuYdDxsRjm93HsaMzq3QnMMYnILLHOLlQEOfrBQKCi4JIcJymzWXfp4SXNrISJQpUwanT5/OocmQ3ECIfS6pLNbN5IGSMI/rGGslU1Tv76PYuHEjp+UM69atw7hx4/DDDz8IOTu7mQsuV028iEnsOZPb+AaU1fatMXxuLovpTplLqdj8c+2Mzq3ATJiDouNLoFy5clbHUKg5rkO19Rxgbf0lx3WZXNdc9jtbHWsbXsuWtQQApUINnY6FyB26jdM6TUI8gkBrLvmXxfrk5rJYO54IS5UqRWWxxASVxXoQF70p4loSm0mYTq+e3jE2sk5b9O3bFy/G9cV/3T8ALh0wGzwZB1cAcPDgQSxevNj0IBe8aRaZCS4Hzq6DgahjKIsVWrV9a8z8jIQJWoQJLnUwtwZU//N4Pm80yi3dZ3UMhUYrXDMrriWyFnh7c38LZy6wBDLXTmco1fD2cdEFfnPfOwWZhORqjLXNsOvWrcteuJB9HU5Wsa9SoOOZffELkMPPPxcHmFnsOfUIHc4uNXw9RJHZZl6j1eDJ4ycoVry4zTECfMQY0bmo0+ZI3ENqugYK1bs0kFarQ+/evXHk8GEEcyydk0pECM3v46wp5lpL5p7A46h4XmM0aFIKXXvXFGZCPMXHp0NpZm1YkXXTTb5+0fc7k9te9P3u3Z0sADNZiiJrp707vt9km3OZu/gMVDxLBMsU8MOLJ4m8xihVOh+++F8TXmMAMLyhjR/dAPl+OWfjYOvG1GiV7bZFVw+bvT2r0KQMVPpuM6/zA4C8YBDSn702ua37yMzXnUl7DmHG8SuG29mIcPy9JNpwPwD8vSQapbo1x3sRn5sdPzExEffv38eqVauwpHT2bXD0QaYmTYF74Uuz3W+vwsPbwbdGaV5jXHmlwdb7adluL7ugLxbdfQUAOPNxE0R0mGF1nE39G0EuFbgo3FaXWTOUSg0S4tN5n7pgqB/EPJdW3Ph5M+7+tsv2gQA+GVII//zxCp8MKWT1OONj/vnjFee5nJk6HM/U/N6Ttq1cGAPfE77ZFiHuimGYiyzLcm8bb4UgmcuChaw3N8iLYuMVJl8/f/3uBc0roBDikmyvc3CHKhXifH4+EvhliQsrlgnFo/tXENa5s2sm5SHiXqch5kX2fRrtkZLMv+xfKPnycbuAUKRwgNWvbT6ew3N6TFwalEp+W1UU9JLi1Ut+/z9Cb2OlA7/5AMDLNPNdWi3dboxJV6HIff77MQZ7yZD2JDbLrZnB408dWpsEl6ET5mAW08JwPwCkPYmF2kq32aCgINSrVw/16tWzGhiJpFKknXriyLdgQtdZAVl1L15jyEVKxCmyBx27B/dDz7Nn0WjbKTTadgr137f+N6/U6oQPLh3g5SVB4SL2/W07i06lQTLn39tCSL7/HKsmPsfA2e8y6WxEuMlRmeMVMvqcm5T0DESn8XtuepbIP2gnJK8SJLgk2aUr1cj3zRwkaIGE70Y7NIZcRqWOeVVYWBhOnDiBzhRc8qLjWXK8uvF1rGEqCDQbN2dnCZoQ176EKKzlWzWTVcgvN+06Pm50VZPHdCvXwOxxlm7PSi0WqIxUbBr8ZF1byUaEG97UxwIYxEZi0IRIk+6x2gyOS17CI7Bnzx50uHXccJNxufBFhsmsv+SBFWBbFLmFn20DyYc41xDAtlMAgPP/aw02IhwNJB+aPV6p1iKQY6dWzvhuYeJiskBfTsfpfw/NrfVd8/0NaBUZZo8ZOLuOzX1Z9by1/JsuJSup0REhjqLgkousV2U5POmnKzVIePv8lm/6L2jzRUu7TyuXUnCZV7Vt2xZDhgzBDz/8AF9fbi/aJDs+gcfR8wvht/caUn8CMOcf936zZ23LAycRYs2ZEGEU3wsI1sSNrgoA2Br2JT5/kATANLuiv1//b2RUEeAuv8ynWiRQAxyjddiWmvYMrlEJK67eMbltEBuJVoUC0DumLrRK7v0UOnTogKvFiqFjx46IHtPL5L6Bs2pzDgws0Sn493aQWQncG0g+BBsBk/Wo5zQHDfcZS1c5oWNsLl9nKOUQXGb9Pcy69leryAAjEVvsXMw1wPTWaACevaxTeFZlEJKXUfRiL45P/OlKDbxCMzcubzp4o0OnouAy7ypTpgxq1aqF3377zdVTydWsrSm3JcCvMFixP9YFdxNwRjzNmfDuw8UE6S4pQICq1QnTtjZhzPuGIBGAyef6wNL4duP79YTo2ixY5tJGkLpq4kU0vlYEK5kW2coRD79KxsDZdewKLgGgRo0a+Pfff1F/y3GU+vVvk/sGzq5j+HCEzomZSz1LmUp9kKmnFHo7EncJLHk8t8gCrJfsZ/1/zxok6n8HpW/HWTXxouEj6zi2fofkXDPuVqQI8PtGSF5F0YuTpCs1aN5tKtp+sR3e3t4OjSGX0qLLvGzIkCGYO3cuMjLcZ81fbsMnq1Wnand82maBEPGPRxLi5yJIWaxAmUvGysuhfyC3McQM/7mocii4zIqNCDf5CTAT5tgdXAJA4cKFce7cOWzZssUwjhDdaXUClCnKOFwQqf/zoWzBdlYKjfvsdekuuGQus+pWJPMxxj9vqZ9j75eMyRX8XzOpLJYQx1FZrJOkC/DERJnLvK1y5cqoUKECVq1aheHDh7t6OrkSn8ylHsMwrskoOLL+yt4Sfi7nsHCM25TFCrbmMnM25jKSUa/+NPna3DEAIBY5NpfND84Z1mSqBbqYwYgYkwyPvtTQOBOUNQOkffsmXx8Mtmnt2GQYhkHdunWBunWBt2MxE+YYggj9POxZR+dIoJuVtbJYY/oMpnHG0vjz06qavOdiwtqel7mErTWXqyZexCA2EgAM63rbvayPdoxpFlPik71pk6UyWUukaQrAL4jz8eakmOnKTQjhhqIXJ0kXoF7fixr65HlDhgzBrFmzoNHQC50jhMhqCbKfnQdylx+LcGsu+T/fOpp0ZCbMwZa+/d5OgwEjEaATqZ1ly33W7UBKSuZ6UTYi3Gb2zhHmMphcgwZWiAu2AmWFFUKXxXoAWWD27WgcIfYy3/3ZnjW7slT+nV5VWh0yKENNiEMoc8mF8RV9jtkEIYJLylySmjVrolChQtiwYQP69+9vOTOVi7sMOpMQgQdtCWQewzDYt+VLKNJeoeuAvzg95p+q7/ZN/uSmINtpCVcWy4h41+k6Uha7pesnmZ+kv3tDLJJJoLXyxtY4IMs/YQ6UABYbdXk1bO9wMvNrNiLcZMsHw3HIHOenQ6ex4do9bLh2zySo3L4uHl14xpgsy5q9QGNvJ1Dd28ylvgvtjXb9kZ6eDrlcDrGYWzDONXOpZy6DCQAKtRMu9uXm5+05E2BPaKn/vzf3fy6WW+7CyzWDKU7kv50QkFkaW8DP9VvOEJLbUHDJh5USNGHKYuldLQEGDx6MGTNmoH/Mjex3zpmQu9+UOBkrQK8Xxp2iSzf6vxYxDBRp3Dc2N4sB1tW/anJT3/M17BpCqxWmoY8QRbqOlMV+uvUfQ4CpL48VyaTQpr9bN5b1DfU32w9h1pkrJrcNYiPBRoTj2L3Hds9hUuvGmHLoDCa1qG+4bdXEiwgoX9TusczZ02wsYk5csxgYcMlKXf73Ajrue1caW23fGoi/nof+/ftj/PjxnOYhYhhIRIDGzl+ZBpIPTQLMTvsWQlVhOmQyYfdYdTmezy+2LhKsZFpku6gAmP7/M2aaYmUdV3+RZKW5CyoAliY0cvA7MJWs1KCAMAlZQvIUCi6FYvSkrNbooFLzf8NDmUsCAA0aNICXF7/Nw/MqnRCdRN0otnQrDCCS+EKnSXN4iDt37wC13n3tSOdX9yqLdWwuWUtQRTLTl2b9m+YbA9qjatWq2H3vkcWxPvhjs9WxLd2uNXOcVqCmJpZKHe1RJCQ0223aWeNRIGIVxowZA6mU276TMhEDjQC/M23btsW2bdsQGMix2xPJpv30OdiXnPm5PlDMuj9rVpaaQxnfLo5LMnuMvZKpYywhDqHg0gkUAi0El9OaS4LM8sPBgwcDymhXTyXXEaCfD0Q5sbjQWjMPe7IJPDIPL1++xKFDh7Bv3z7cu3cPfn5+8PPzg7+/PwICAuDv7w//779HQEAA/Pz8oFAEokuflQ6fDwDS0xWGzx/EJaDzn9uwsXcc5kS35jyGcN1i+f8/ixxs6NOtXANsfnAOQGb2EuPLvpuX0Zvmaqv3go2oiusThpncZy6AZCPCDVs56DNExsdxyRZqBdjSAQAk3jLDOfVzMf6+ss7fXNOhg8fEALKXCpctWxanT59G8+bNOc1FLmaQrrH//ylriWxku7rA8p8Q3XM0ihcvbvd4HiPLc5e1klfj2wfOrmMILI0ft3ePaUCnvz1rWXfWrOWgCZGGr0WvE+z9LsxKoY6xhDiEgkt7WVp/aSRdIcwTEmUuiV6zZs1QqXt33Bnc2fwBblQu6U6c0tAnN61vtTJXpVIJ43x4lSpVUL9+fTRo0AAdOnSAUqlEWloa0tPTkZ6ejrS0NLx69QpRUVFIT0+Hzrs9GLF9NWNZ11mWK1sWfc8Xwbr6V1EiKABjm9RB+ZBgwI7rKO6UuZQ4GFwCpgGmJfqAUU//BttcALl397vXIXuaoRgTLHPpLbdrLuYClA+bm1+D+tlnn2H79u2cg0t7111mlbVEtvimX0wPcPfnhBzA5f941cSLWMm0wFg2Esl41024fQcp0IF7F2GzXsU7/lgj1DGWEMdQcMmHcftwo7VvgmUuKbgkb4lEIgwYMADtj57E3r17XT2dXMORwGN14+uGzwecDnP9mkuBglmWZXH79m3s378f+/fvx9mzZ1GhQgU0aNDg/+3dd3hT1RsH8O/J6qYtZZS9h2woyCgblA0CIj9ANgICAiotypAhIJStqAwBQRAEEWQrMgUVpbL3lg1ldI+M+/ujTUjSjJvc02b0/TwPD80dJ6dtmtz3vue8B40aNcLBgwehUIj/SFi04iqex0sLPmRGQ+BUCjmGNnBsviXgXnMuZZDWF/1yJMZBpnFAaeuC23xf4SbVJfUF4LP8B2B5WKz5/DtLxBRv6dmzJ6KjoxEfHy9qiKrU4BIAokt1Qcztny3vzGvz4M2WUXE0KIyPico21NVSG9aylub7AGDwlKr4Ti5DhsT3BlrrkhDnUHCZA5I5VIoFqKAPMVW3bl0sXrzY1d3wKAKPzCWHfriD4sWLQyaToWHDhmjfvj2mZg1x9XQ8fscAwHjMuXSj+4E8fi66DDUEnQ5MJu0bU/j6WN1na2ivGKGhoXj99dexd+9e9OzZ0+7xPJYjSee2tioRqxoACyXtstG/joKUMjyVGFwm0pxLQpxCwWUO4LEMCUBzLomp8PBwpKWl4fHjxyhUqJCru+MRuAyLtZW5tFEx2iHWznNwYXW1Wo2//voLv/zyC/bs2YPY/7Uy7Fu2bBlKlSrFbd3O3F7/07iqrHFFWS2vC33Go6APnyzq5g0vkHTqurRGeEw4BqBNV0PhZz04FEPuZ7mgj6+V4iwOmRuNgQMHYtKkSaKCSxWHkQjpWgHn2vUzPNYvj2Lcp2y8IZtpKSvr4HuUudXjY23eWNAP+X6laADO3c9ePMx4vmUzxctz/Jd3wFNJPQMSOV3LEZLXUHCZA3gsQwLQsFhiijGGFxOHAmvmvdzoDRcsOUjgcIGdLYYSMe86t506dQqzZ8/Gnj17ULJkSTRo0ACjRo3CyVq1DFU0S3N+Ti6xpVkjv125hW9jz2FtTwEyGRO1LAm/OZeuWYrEEqaU/tHMK6OrTcuQHlxaqRabZmFIpDPatGmDQYMG4ebNmyhTpozNY3kMizXPXOoDzWxBpjH9e4Unvmcbv88ZB5ic3v+Mh8Hmq1jc4v5Nc0ZYfa1M8QempQD9tS0NbQVIXbQWNCyWEGdRcCmVhQ8KbplLCi4JkYRH4GFSLTa3LxDtPM/x48cxffp0xMbGom/fvtixYwfy58+fK13jEVzqg/+3j9fEuvqnMWHv7zj78Am++18H0W3odAIEQZCcSeUyLJZT5hJK6Qu3CzyW4UFm5lIquZXgVFLRFiOKhRPQu3dv7NixA6NHj7Z5bE4Oiz3Xrh9SU1MxceJEJCQkoGbNmlhW3mweaNZ7SOqoafDz8zPZZuAuAai14DEHb6ppktIAZF/bUl8AyJKpU6MwFaavJz8OixzTsFhCnEPRSw7gEVzKZYCCw4cgIXkZl6yWG/4ZHj58GK1atUL37t1Ru3Zt7Nq1C/3798+1wBLImR9LhQIhSNNosfXsVYfO45Olk/5x6OxSJNnwCC45FTriUdRHYWVYLJA5R87Z+ZbGBgwYgF27dtld2zYnMpfG/Pz8MHfuXHTo0AEFCxa0elyJEiUQFRWFW7duSe6PN1Enpdo/yIi1GxR+GsvVhR1B1WIJcQ5lLnOAo8Ni95Q8Zvi63X+RAGi+JREpr1UmdJAzQUf/Y6ZVNmXGc7TMKiPm5s9eEATs27cP06dPx927dzF48GDMmzdP9OLxvOXEnMtOVcrh+1OX0PeHnehW4wMA1udaGtPpBMgkxmM81rmUQwcu92y9LLi0lrk0ZmnIo+igMyoGNQGEhYXh77//RoMGDawemhsFfeRyObp27QrgZREa8yGzceMHZX6x+avsDbjD+7q1eaM5PBVAnfByXqV59tIaS8f4ZGQAsH5TQwwaFkuIcyi4zAE8Mpc0JJYQ6RzNXJovQwJYCKJy+aJPEATs2LED06dPR3x8PAYPHoy2bds6tGxITuAyLDbrf30A+b9aVRBz6G/ceJogar6lnlYncPgw41EtllNwqZJ+w0DQSs/cAJyCSytzLgHTNTqd2W9swIAB2Llzp83gkldBH0eJmpdpzB0CTD3jftgo6HO1YEsA0oc6K4L8JA+Z9k3PAHwyX3d/jn0dANBw0a+2TsmGhsUS4hwKLnNAapoGcic/wPSn+VHmkhDJmIxB7mSmYk3kWQz6qwbAAI1GehZIoXDsb1qr1eLHH3/EjBkzoNPpMGTIELRq1QoyictC8CKXM0jvipCtjX/HDgAA9D+R/fdm7XfJZ61LOaQO9pUzQM4j6vZRgCmkZS8FAZLbAAAdhwtshb+Pzb58O/GUyWMhJgr79+8Hi54rLns5Nxq6sbPQ662e+ED7EPvvP0DBgpYraqtkmb8nKTQShmEbV5k1JggCTp06hb4PX97gevjwIcLDw51+Li702UrjrKWVDKYqNIjLa84nJBDaVGk3NVSp6ZD7BeHo6DcN2/6cPByNZy4T3UZKhhYZGRrJ77kyBsjcaZ0iQnIYBZc5QHE3AWG348WfYFQcrcB/CQCAQgjg3Cvildzlzrab+mZTb8dOMLtgWrXlbXyz8TS6D98qqR8F8vthZUx7h84ZNWoUjh49infffRdNmjTJ9aU/7Jk+WQEfGxkpMfb/osD6O5YvutIt3KCztA0AeNSuCVDWQoCylqQ2CvgCG9+Q3he80ZVDI+6jdL1AFJ9ne03V3ugOVXpZw+PWv/wLAKIDzDU+bQBkDqX8r+1s/GfluBpvN0PH6G7iOp6LGGOoXbs2sOdlcHnkyBG89dZbLuyVGTvDYkt1icSADMeygzll54W72HXoPJp8+QN+H9k2c2PiDTC5+Iy+DsCofpuRLnE0WrdeNdGlZw1JbRDiSSi4zAFpqeLu9FoagqenoswlseBcu37ih1URj3X//n1s3LgR27dvR2hoqKu7Y4X0YJfJgI11Tto85n//1rbbDr/lSEiOkIsb5pvhc8Pidv18TGtBpn4IpX74rK25ejoPmkdXqVIlV3fhZTBpvhyJOTe70Rno8/LytsmXe/H7yK5o8qXjNwl9/ZWSg8vkZOlDywnxJBRc5oC0VOlzLlU+0oeWEO/0hW8J7NixA7/+6h53iL2CjbvxPAIXR4vFzJs3Dx07dnTjwBLgsIwcOp47YnWfPugUF1xyWgKE5AyF43NI9YGkcaEfa1lMS3MyjbcZB5o6DnNIc0vFihVd3QXLXFjYTKwgH9PXnDOBJQD4+CkBOFbB1lxyYrqk8wnxNBRc5gBbmUvjbKUtSspcEisqVqyIs2eNXkfuukaaJzP6GQ699z2GZiUQulyu71RzjoxoffbsGVavXo3Nmzc79Vy5xZ1yhZS5dHNyx4dP67OY6Yu7o/ms3/Dno8ypJsbBpthqssaZTHfPXBqPTvFbMuXljtx+X7f3fG7+OROg4nN5q/SV3g5lLkleQ8FlDki1ElyKDSwBGhZLrCtatCiSk5MRFxeHAgUKuLo7ec7PlY4bvhYdbOqDS2t3+4225wfwfMI7OOfqQh4ehIJLN6eQNjf30ITW8BmzRVIb+kzmTztSDNuq7VlrtcCO2xGzBIibB3y5yXhYrBRyX+mjyJKTKLgkeQtFMDlA7JxLW2hYLLGGMYZKlSrhzJkzru4KEcm9SvF4Hwou3RtzYlisufTF3Tn0BEiNT4JGI33qCnFvgRyW8wEAGYdrseQkGhZL8hbKXHImCIKo4HLtiXM4ef8xFnZuaXE/DYsltlSsWBGnT59Gy5aWXz/EQTl8x9/dKr1yITj/Pfkv/MPuMWLmWuppnVh3kOQiJ4bFWrK/7Xto2dIXQObwWPNCP8ZzK62tjdnn7ULAvu8Nj80LpB2q1x7N/9ltsi23s5szM4Kxbt06JCQk4MWLF0ieOlLcicZLheRxgZyGxYLDtRhlLkleQ8ElZ2q1TtSFzprYzOByfscWGPhn9hLVKh8KLol15cuXx+nTmQvP04UEcQVnwzkxgaWjKHPp5jhkLgFA7iOzWAXW2jxM4+2/d26Ixo0b230O88ASyP3hs126dEGXLl0Mj//NyEBCQgLi4+MRHx+Pfo/OGfYNuxaPZeWDTRugIBMKuQy+CjnSNOKXHrFEUEq/Fkuh4JLkMRRccmYra6lfbmRN5FlMbt0II7fuw9OUVItLkqhUNCyWWFe9enV88803SEhIQL58ttePIw6yUwXR2aI+1tqzxGPmgTnIUmA5Z/+f+PiXo7gR/Q5KFwhxql0KLt2cyKVI7Dfz8kJ/FWuJQcKBbMdYW7akyfY/ge1/2i4CpP/7FDO/MRepVCoUKFDAMMf+HOoY9r0HQB9qnjp1Cm8/MJouMTc6TweYgT4KycGlViF91ElGhhYZGVq6riN5BqXHOEtNETffsnm5kjj9/kAUDPQ3bDNe65Iyl8SWypUrIzIyEmPGjHF1V4gI3jgqlgdBEPDFHychAFh1wvk5xLQUiZuTWNDH0IzZ56IQE5XtX04RBPe/gVGrVi3Etuxpss0T+p1TeFSM1cj5vHmn0LxLkodQ5pIzR5YhUcitB5A055LY8+GHH+Ktt97Czz//bDKEiuQcfaVYR7KXhuqycw9YzyJkbS9fvjwWLlyIMpJ6mUscmHNpbSjsros38DglFfUbjMD0tgFOd4Uyl25OpkBmWStpvye50vQ1Z2mIrHGAKcREYceOHej8+yWkz/jAfubISsay1vpfUeTAWUydOhUBAc6/TnODj4+PyXImbN543Os9BsWKFXNxz3Ifj6I+6TI+7y3JyRkIye9v/0BCvABFMJxZCi7XRJ51aBkSgIbFEvsCAgLw6aefYtiwYXjy5Imru+P55kZbvLhclL+HtKGwDoiLi0P+/Plz5bncwWsVSqFMSD4c/+srvLPp5Vw3R4r5ABRcujvGGJd5l+bBpSXmAWenTp0gxERJ+kz966+/ULRoUfTp0wc3btxwup3cZDy0vtj3i/HNN9/kuSwmj+VI0ngFl4k075LkHRRccpaW6niJ8/7HqpsMiQUAJQ2LJSLUqVMHHTt2xJAhQ/LchUOOi4oB5kZj7LPNJmtb5hS1Wo3k5GQEBQXl+HPx4MirTV/Z07jACgD4KBWoUigMACTNjaJqsR6AQ8VYsVM3LWU0nRYVA98vPsHKymG4NqwbBg4ciL179/JrPwcZB5hDnl9B69atcevWLdd1KJcFcQguUzn0A6DlSEjeQhEMZ2lp0te4BChzScQbMWIErly5gjVr1ri6K0SCp0+fIiQkBDKZh7wtS4znUjLU2H/1NrYO7AYhJgrf9e7kdFuUufQAHOZdKtxgIs/777+PBQsWeOTNvJo1ayIiIgJLlizJE/OUAzgMi03UpiMl9bnkdmg5EpKXuMFbtXexV9DHPENpDRX0IWKpVCrMmDEDw4cPR4sWLVCqVClXd4kY6XK5PooXCcKXn75u87i4uDiEhobmUq94sD1E0XiepRAThU/37MegGpUN2/ZdvYVxOw/h7/f6ItTf17Dd0SGxAAWXHoFDxVi5UvzvefX4WItrXVrbbpGFOdKLFi3CsmXLPGbtWuP5lwuKKLDgo8FA6n/A/I9eHuSlFWV5rHV58fAOPPxrBzo1nyHpd07BJclLKLjkzNKcS+MlSPRzL+0FmVTQhziiUqVK6NevH/r164eDBw96TvbLnYi8wHJm/qWYaxLPCy4dM7ldK5PHnauUR/2SRSQHlgCgzQNZGE/HFEqpyW7I5Y79nvXDY82DyYRuY5Hvp0W2T84aFm+swJxVmD9/PipVquRQP1xNPzxWH2Rm46VLlvCYcxn6akuUf1JQ8s2E5GQKLkneQVegnKXaqBYrGgOUHBbuJXlLv379kJKSgkWLFrm6K17F0lzBnPDkyROvDi7NMcYQHhTIpS3KXHoAHnMuFc79no3nYA6cEwFNSpr9k8wCy8Lz1mDq1KmIiBCZ9XRD59r1M/zLC3hUi1X4B6JE8SqS20lOpDmXJO+gCIYzZwr6mFOpZB4z5Ia4D7lcjunTp2PmzJk4f/68q7vjFXw/ns+lHWZnCCmQmbkMDg7m8ny5wZ3COQouPQCParEOZi6t0aY4fqE/ZswYNG/enMvzu4O8EGDyyFwCgK+/9NcuZS5JXkLBJWe21rkUi4bEEmeVKFEC7733Hvr06YOMDPowk+qrLi0BAIteyxwK6+ySJGLuFT1+/Nijgksx61xayvqmvN8o23H/+7e200NiAUBH1WLdH4eCPnIFn+Cy4JHVDh0/Po6hc+fOXJ7b1artWWv4l2P0WV8r64bmFl7BpcpPejspNOeS5CE055IzW8NixRfzoUqxxHndu3fH4cOHMXXqVMyaNcvV3fFog7bsw6Mv/8SBk/dx4HLOPteTJ0+8ao3LA+euGL42Dyj1j/+75Yepk59Jfi7KXHoAHgV95M4vV+NQIZ8sERv3o27dunjvvfecft7c5lTQyHO+pXlgaRxg5vK8Th7VYgFA4Sv9miyJliIheQgFl5zxyFyqKHNJJGCMYcqUKXjrrbfQuXNnNGjQwNVd8mg8whYxw9yfPHmC4sWLc3g291CndEnD1/4L/7CYseRVd4qCSw/AYc6lQkJwCTgWYLbccwLlypXDqFGjHHoOfXBnXKVVLP05zgxZdfS53jh2BdsiK+ZuwJfLhYN4VIsFADmHDChlLkleQsElZ75+ShQoFGB1/+PHj6FSqRDgb/2YkPw+OdE14qUYtFDAtEBFkQJ++Gz6eIz/YBj27N4DP38/u+28SJRDrZF2ta9QyJA/zF9SG+4mOEiFQgWkfU9hIb52j/G0zKVOK4dGbf0j5J97D0weM2R/DapUShQsaP29UCwFFUCzKPXxc2iSRRSvsUEQBC41AOQ6X8j9pL2+ZYIvAkuHS+6LGEqlEhMnTvTa+gc3b94EIiu6uhs5KlApRyF/6ddTygAdQiV+rskV9B5F8g4KLjkb8WETm/t/+OEHLFmyBF9//XUu9Yh4Oz88Rxl2JNv2ik2AQU26A/e+EdXOso21cf58vKS+lKtQAFPntJXUhrsZ2S93qkPGxcUhJCQkV56LB1+lD/L5Wb/wfq1SGZPHfhbm3JUu7o8vPm/JvW8k04nxy3Ftza+S2vANz4+0h9KHLheKrIbHx65LasMvPD/+d3+z5L7Ymgv4zpXnOH/+PJYsWQK5XG41I2gvM+nM8FT9OcbnWspm2mv7eNPuOHXqFGJjY3Hy5ElcuHABVapUQZMmTdC8eXM0btwYp3NiKCxP5m3q+2vtuYy/n6xjCgD40egQsVOTzMmqFsLzpylOnauXEJ/G7UYNIe6Ogstc1rFjRwwfPhx37txBiRIlXN0d4gUY+BS54DG0UC6nD05ned46lzx+1zScNSfJOMw5E9TSK6ADAJNJf71oUznNW7OwhqXeioqhQMXGwP6NNptwtiBO6KwVKFWqFE71eV3U8ZYCTmsGnH+MkydP4trUL1G7dm00b94cs2bNQsOGDREYyGfZHwDSgkn9ubaCW0vt23tOEX1aE3nW6QBTKq1Gh4x0DXx8+cwDJcSdUXCZywICAhAdHY158+Zh8eLFru4O8Qp8LtA10qYzAQBkFFw6RRAEPHv2zKMyl4K9l11UOyAX1gcl1sk5BJfaDOnB5SDhAHDkAFYxaVlqbRrHeWs2AkxHNd/1NwoVKoTw8HAUKlQIhQsXRsGCBVGoUCHDv6CgIADAlQFRuHr1KtZeu4YrV67gypUruHbtGq5duwa5XI6SJUuiZMmS2NH0FYf6MOhiHCpUqIDBgwejXr168PW1PxTfKRZ+ZmPupmNxcR+UX/YTnj59iuTkZISFhRl+FuHh4QgPD0dMQdvtGHD63UQ9FjC3kOln0prIswBeZjHFBJwCpzndyclqCi5JnkDBpQt88MEH+Oabb3D06FE0btzY1d0hHo5X5lLLYTkHuZzmlTjj5s2bCAoKgp+f/bmx3oUylzlJxqGgiS7dfQqRaNPVEHQ6MF6VoDg5dOiQ6GMLFiyIggULolEj0wJXgiAgLi4OV69exbVr14BH5xzqw6pVqxw6nqf169dj8fhB2LZtGwBArVbj6dOn2f4BDhR14hBg6nQ6ANIrvWo5BZcpyRleV5OAEEsouHQBHx8fLF68GKNHj0b9+vWhVNKdLOI8dwouZRyGvuVFP/74I1q0aOHqbrgABZc5icewWB2HzKXewDkRhoqt+vVP+0OOZqyZ6Da0aRlQ+HPKylkLYCxtz+Eqp4wxq4GnO4vcdgwjRozAuXZvGbYplUpDttKYPly2O8TXfPkSo6G0V65cQcOGDbF9+3bDusDmc1T1BgKI+vISHj9IBfAya2n+9eRKR1Bz4beoU20IypbM/rPXavh8xlLFWJJXUHDpIh07dsSXX36JdevWYeDAga7uDvFg3OZcchgWS5lL52zevBnvvPOOq7vB19w9EGKiXN2LPE3uw+fGpUypgM7JuZeDhAOGr/UB5aDol9vWQAvxoSXn4BKwHjTm8pqMHkMf7EXFYO3atUhI2IPu3bs71IQ+ABQ1b3VuNCbFq9CoUSM0ePYMkyZNwttvv20ILI3bs8THaN1w46Gwxq7FPUOqWoOIgL+xKDLI8rHhzhcE0ktJpuCS5A0UXLrQ559/jvr166NDhw4oVKiQq7tDPBTjNueSMpeucPv2bVy/fh316tVzdVccYnfOpbhWeDRCrOAxLBYAZD5Kp4LL1FLHgVu2j3F0HqYmNR20WJcbmBuNfgD69WsH/Lo+224xa3XaOkYfeH4VUBpPrp3GjBkzcPr0aQDAwYMHRXfTxzf7sNjsQWJ19O3yBhZZyWwab5MSYCZT5pLkEZRmcKEKFSpgyJAhVNiHSOJWw2KpoI/DtmzZghYtWtDweMIdj2Gxme04F6SOvJVsdZ8QE+VUZlubShfoeUnTpk3x3nvvYfny5di5cycyMjKgUomfu6ny4XeZW2/xWhz6+wunz6fMJckrKHPpYp988gkqVqyYbXiImLt+hACOB5dsd5Lha6H9y/L0Oh4Ffdys0IYn2Lx5M/r188S/d1qKxN3xGhYrVzp3qbCKtTQMixViorB6fKxhn/HXjuBaMZY4TmSRHf01jbPXMpbOK1iwIPz8/HD79m2UK1dOVDuWMpfW9D9WPVvGsv+x6tDp1PiuySWUzh+M1FTnR5klU3BJ8ggKLl0sMDAQMTExwIMzru4K8VC8hsVS5jL33bt3D5cuXUKDBg1c3RX+otoBc/fYOYiCy5zEa1gsczK4BF4Oe925Vdoi9HoaXmtdEucYzUV9+PAhdu7ciZ9//hmHDh1C1apV8Vf3piaHV9uzluvN8tDQUFy6dClHgkvA8rxKmSzzJs3mvl2yjnGoSQPKXJK8gtIMbqBPnz6u7gLxYLyGxWq00tuhgj6O2bJlC5o3b+6RQ2L5zLkkOcmRdS4Hzomwuk8mIbjUEzi8vwCUuXQn4eHhGDJkCHbs2IFHjx5h4sSJGHzpKQrPW2NynKjCPSIVKVIEly5dEn28ysHgMifRnEuSV9CVoBtgjLI9xHn8qsVS5jK3bdq0Ca1bt3Z1N1yIItScxK2gj1L6BbpOw6EcNWjOpbvy9/dHp06dsHLlSjx48CDb/hs3bnB5npo1a+LMGfEjvYyrxfJiqdiPGJS5JHkFBZfuIioGw67Fo8+pezTfkjjEnQr6yKlarGgPHz7EuXPn0LBhQ1d3hXgpMXMu0wQNBgkHwKLnYpBwAIOEAxg4J8LwDwBkCukX6AKn4JKGxbo/mUyWOXzWaAht58tHubTdtGlTXL16VfTxjg6LdZaYgJPWuSR5Bc25dCOzZs1C5cqV0a1bN1SqVMnqwsCEGJMSXLLdSYaiPloOw9ZkNCzWNqNiGD8FlEbTpk0dqnzoTmgpEvcnplrsOTzLtk2/HqWe0D8Kq8ffltQXbplLGhbrWbLWxfxME4pOHJqrXr060tPT8fTpU4SFhdk93seXz2dS1I1XMbfs34bH1pYqAbIXBtLP46TMJckr6ErQjYSFhWHq1KmYM2cOBLMrt2p71hr+EWJMakEftjsJbHcSVtU9JbkvchoWK9qmTZvQqlUrV3cj5xgX84lq57p+5GFihsVGoKDdY37eGC+5Lzo1r2GxlLn0KHOjMeTyM6SlpXFpTiaTISQkBJcvXxZ1vIrTsFi5nKH/seqi1rm0lsWk4JLkFRRcuplhw4aBMYbqe79zdVeIx3A+41jaLEMhFS1FIt7JkycRGRnp6m64GGUuc5KYYbHmc/7bViyd/RgOIxJ0arXkNgBAm8anHZJ7/P39kZ7O76ZAgQIFRAeXvIbFyiRM+dAHm7QUCckr6ErQzSgUChw5csTV3SAexNFhscZrW95G5hA4/TC47xqeMfnnKCroI96gQYPg6+vr6m5IQOtcujsxw2IBoGTW/9ODgD1DepjsE2KiMufQSaTLoMxlnpM1DeDzEr7cMpcAULFiRZw9K66oDq+CPsb3YIwzmPqvxWQ0U1PU0HGqmkyIO6M5l27Ix8cHiIrBH3/8gX79+uHasG4m+60NjaV5mXmTM3MuhfaBYLuTLO8TBKRrtPB1YvkBr1mKxHyhcKPCFFKsL1oTo0ePxoQJEzB4cBsubbqKzTmXc/eARc9F40AZfk/8Ldf6REyJrRY7NWstSiQBq8fHGtamBDIfF2xYRXJfdBl8Mo5U0MeDZM23BMA1uKxfvz6WLFki6lhuBX0sVPU3DihtFfQxPi4lRY3AIB8+fSLETXnJlaB3atSoEU6fPo1Rt1NQZMF3+DqwjKu7RNyQswV9jDOYAPDPnfs49+AJ1saeR4Ml66DVOd6ulKFD3kyj0WDs2LGYOHEiVqxYgTZtPDuwtEefCT+aJOY1RNnLnCJmWKwYPJbL0qbzGhZLQws9htFNOp7DYhs3bowHDx5kq01hiUol4zTIwvZz2cpcrok8awg+ad4lyQsoc+nmAgICsGTJEnTr1g0DBgzAu+/9z9VdIm5GSkEfISbqZTvRc8EAPJg8AkE+KqfmT9Kw2Ozi4uLQo0cPaDQarF+/HsHBwa7uUo5TARB/CSWAz9UfMSd2WKw9jMNNI27BJa1z6ZFWVymIc5zaiouLg6+vr6ibHkzG4OMjR3qatGHZOj7lsZFMy5GQPICCSw/RsmVLnDt3Dlg2w9VdIW5GylIk+uwl252E/hFVEahSonBQALpVr+hUe1TQx9TJkyfxxhtv4PXXX8eoUaMgl+fOmmuulm5004K4jlzksFi7OGQuBbWGQ0doWKxbmhstaurA+fPnUbVqVclPd+XKFeTPn1/08T4+MunBpYjT9dlLa0Nk10SeBbYa7eM03YIQd2Pzk8dXWQC3b5iugaVQylCsREhO9olYkS9fPiAqBjt37sTQoUNx//23Xd0l4gbU8EOq4Hw2LCEhHuEAvu3ZPtu+kqVDHWpL7qvA9TsvnO6LXpliwa4dYsvhQ3/9+vWG+ZXeOAw27XkGkhXZb2wErPjF8LVmVGcg1XY7ch8dGN2UyBGKAF/kr1lOcjv+xQpwaYcp5BAkrnepCPDF01PXJPeFB4WfDPmKcZg/5xMKpvSX3k5uM56brv/a+L3TaM4lAPT8LxZ78uVDiRIlRDWfmqJBQnz2TN/1q49RqkQ1PHqQIqqdQkX94eMnLWPoF6BAaJi43/XYS3WxqPIJ+wdm/Wxu9fjYsc7odAhKeO7YORak5w9Aej4/ye0E3X4KJjGzyxgTNczZnvhC+aFRShuxIdPqoEyRXoAsrGBAnp1fy2z9Mvu/8Z3JTpO7MXTHxaWePn2KkSNHYmNEScM2KuhDnCEIAoYMGYI+ffpg9OjRktpavuUsth24LrlPPy/uDKXCMwMOjUaDcePGYdu2bViwYAEqVnQuC+zu7izcjoer92fb3mpkQRy79wK9GtbA6vGxdtt5O3EnlAHSL3BI3nB93T4c6TdbcjvBr5RC/MXbktoo160yGo+WfvHIKvUGK1xXcju5zrzwmTnj60SjYw+/2gFhYWF2m7909jl2/HDLyc691GtIBRQvHWj/QBsePUjBt19fkdyXp8m3sLt1gsV9vU/UEtWGr0xAkx9WSe5L8oL+OFxK2s8FALq9txFp959KaqPAq5UR9/clyX35c/kknEuWNkqijEIJxb47kvvSb9iraNWukuR2cgtjLFYQBC5vRJ559UYQFhaGjRs3mmzLyKCx/MRxjDFMnDgR06dPx/379yW1pdPymZfiqYWBnjx5gtatWyM2Nhbr16/32sASAGDld1RqyQ/ovfUXi/ss0lFBHyKe3FfFpR2ZUvoQ9YxETp+5Wi/97LYSfI4ePRopKfazjiofPpeoGenSs1C8ljSpUb2a5DbStIDMiWru5hQJfCr4yoMDJLfBa4mhAK3033W8E8UMLUlMyLtD+Cm49HRRMXjU70N0OnIRffr0Eb2wMCHGypYti+7du2PMmDGS2tFyChQ8LbZMT0/Hzz//jIiICFSoUAFLlizx+sI9ln5FA+dEONwOrftGHMEtuFRIDxbUCZyCQp2XBpdAZoBpNifz9NttEBUVBbXadpEnlYpPQJeeLv09htuSJsjMUBr/0/u+7ilxDTAGJYeATv4iWXIbACALkd4XTQqfQMyPQ5IlnkOACgCJ8fyW3/E0om992FrDh7hW4cKFsX37dqxduxbDhw9Hr169MGjQICgUVK+JiPfOO++ge/fu+Oabb/D222/D19fX9gnGd6WzLhx0HIJLGeOz9EFOU6vV+O2337Bhwwbs2LEDFSpUwLhx49CyZUv7J3sDs3mS+sDyWvQQyBjD6vGxFoPNbENlOd0lJnkDr+CScQgu03ldPGr5VNLNdWZzKm0yO+5wx/roOn06pk+fbvX9nlfmUmoxHwBQccpcWiru3vtELUNgqf/f3hBZeZA/EBcvqSuyZ5bXunZYPunzhdUJ4ubPGn+mWJp24ZuaDkhcgknLAL8AJVKTpf1dJiZS5tIxNN/S7TDG0L9/f/z777+4cOEC+vfvjxs3bri6W8SD+Pr6YubMmVi+fDkKFy6M7t27Y/369Xjx4oX9k7PuTr9373vJ/XDnIbEajQa//fYbBg8ejPDwcEycOBFFixbFjz/+iFWrVuWdwBKwunpIuQKhKBMWYnpo9FzDP/OAU6BhscQBcj8+BTKYXHrgkh7P5+JRcFXmUp9VFBsgWhIV49g1odGxWxtVQPW936HanrUWD+UV0PEYFiuXMyiV0l8z1m7AmgeT9rKY8iDp2UL2xPLcT0fpOBQFSn+eaPeYgXMiTD5LBgkHsh3jkyQuSLXHP0D6TSzKXBKvUaJECezbtw9Lly7FoEGDMH78eLRr187V3SIeolatWli1ahWePXuGw4cPY9WqVRg+fDjq16+Prl274o033kCxYsVytA/uFlzqdDr8/vvv2LBhA3766ScULlwYr7/+OjZs2ICiRYu6unsuY55tmDx5LmaYXWsPhGkgaWmgsECZS+IAbplLDu8zGS94ZS69eFisBO4UXAKZmVS1Wtr7lZjRPcv+PIXhW/fB378gunRcZPkgf+kBHXskLfOppw2yM8pJBEGjhSLAF5pkaX9TPglJQFghyf1RBagASBs2nJfnXFJw6YUYY3j33XfRuHFjNG/eHNWqVRNd+psQAMifPz+6du2Krl27IiUlBceOHcMvv/yCSZMmoXz58ujatSsmWBl5srv0H2h/q5HTzy1zgyGx6enpOHToEH7++Wds27YNwcHBeP311/Htt9+iZMmS9hvIC8x+T+aBpTEha91L/R3nVexlhlegOZfEAfyCS+lZKE2qGpkpfInZ99zOXFrKVBrPi7S031520kplWIvHWBhOq89eGle95zYslsOcSyBz3mVykrRKpFobwak+ezm5bGbl1ZSUJ7h0dCwqN16U/WB/6QEdHjyzf4wI6kA+owmUwQE2g8vV42MNnyXVpszD+VTBkL3Uf6YoniUAZTj0xU96eESZSxH0i8O+/U49vJZj3SE8Va9eHZMmTcKkSZOwatWqPLOAO+HL398fr732Gl577TWo1WqcOHECBw8eBGoXt3rO7tJ/GL52NNB0Veby0aNH2LVrF7Zv344DBw6gQoUKaNKkCZYuXYqyZcu6pE9uzez3pP/QByzPhbGGMpfEEbyCS/ObI84SZEowqcGh+ZxLS2tG8mJrCKyYfWL6ZH6MWUEfa/5p3gPG+TiFQga5nEErsQp5Boc5lwCfirFajf33u0/vtMLh4cno/8MepFs5XmevJoIIwsPnPG6NICPABzyuLpVB/kiF7SVN9HP5z00bh1LRc/Ff1vaBcyKwenwsFHEvOPQEkHEo4JSYmA5BEDyihgRvDofm/v6c3thJrhgzZgy2b9+O1atXY8iQIa7uDvFwSqUSDRs2RMOGDXFWEHD+/HkcOHAAyyuEWD3H0UxmbgWXgiDgzJkz2LFjB37++WdcuXIFjRo1QpMmTfDhhx8iNDQ0V/rhqRz9wGTRcy1upzmXxBFyX2nFOozZq24s6iYJUwKQGFwaB6fGAZ7IoMwZr6zagc6dOyMpKQlXrlzB5cuX8d97/8t2XMrIqfD/cqrl/gHOB5sW+PllH+qp8pEhVeKC9umchsXyqBibkSHuZlrTsiVx46Oh+PvOA9Qt/i/6/lvHZL/Wx/lsoT4QYwLgp1BgzaWj6FG+gWH/5mt/Gb7Wb9987S+TY4ylBqggfbVMQCFiPrXx3+ztmKhsnyvyR3yysQKnGwmpKWou8zc9jcPBpV8Avzd2kvNkMhnWrFmDiIgING7cGJUrV3Z1l4iXYIyhWrVqqFatGmClIIMzcjK4TEtLw8GDB7F9+3bs3LkTMpkMTZs2xdChQ1G3bl0olfT+JppZcKn/kDfOYAZ/NBcJOqCI38uf64TmdYHDRidScEkcwC1zCes3PBQA1EavY1sEyK3VthLPBXMub926hZ49e0KlMvp5WngfL1CgAFKmjcrFnplSqeSSg8sMbsNipQ/TVTvQl1vP49H7+51Y1aMdANPgUqPk83fgL8seRPUo38AkwLQnxV/JJbh05MaRtb9d2f04Dj0BtAo+Q7ITE9IouBSDMpeep2TJkpg/fz4mTJiADRs2wEfCHS9Ccpqc0xCSxMREXLx4ERcuXMD58+dx+vRp/PXXX6hcuTIaN26ML7/8EmXKlMmTQ1bESktLw3///Yf//vsPPj4+iIuLQ1xcHBYX90G1EgCy7iJby/AkZF1HPUh9Oeyv/OF8JsfQsFjiCGeCS322w+SC9HD2SpN6GvNjjfzUMHPOOZA1B4zHgEBd1t+HlKqtYhi1X7x4cdPAEqbzHfWOte4F/LZBVJtWGc+xtJLptPTcAKDiENDxKuijHxb7XcMzhm19/6yB7xqeQd8/a5js0z82l56hA+wELvpKsWXyh2DXoO6YdrtltlHcGQqVU8s9vPJuOP57Fm/IXn59IfNOn7VgUr9d//cwr7AMH374oWF/mZlLcFImw7U5IwA4NiXCnH7tWUsjCvTPb14kDgBe9X/5vOzxM8gZg1aQdtNSreB0HZKQjsJFuDTlURzPXPrTnX1P1LdvX2zbtg1LlizB6ioFTfZZe1MnRCz9a2jlzvu4fCfFZM4l8HIOppjhsY5mLuPj43Hx4kWcP38e586dw/nz53Hx4kU8ffoU5cqVQ9myZVGmTBl07NgRn3zyCUJCQhxqPy+KjY3Fu+++i/T0dPj5+SE9PR3Vq1dH1apVsyrkmn5wD5wTgUHR2S/W8/so8Sz9ZWD5ecemwC7TY6igD3GEo8GlfvkCW1axloit/QgXnjzDwTsPbB7b7c9rwJ8v2xvU+ACEmCjo6kso9KLPXDqybqQxB+dofl+sFsqXF7d2uVKpNLy/V9uzFufa9YMgCHj06BFan/zVsf4BOHnyJLp//SOaNm2KsWPH2l2PW6XisB6pheDSePkTe9dA+mOr+QB9UcMQUALA/TMT0fdWADadmY89g7oDKA0AFgNOc2KWH6lcKAzsv+yfielyJezVi9UHkMaPWfRcyBmwApkFcAbmq4TVCZdNhr/actfs7fpWfCoAIGjiQiTOfF/c2sYW+mnQyfZQdXOrWEsg9eVjJgBBKjlepEsrvJQm5xRc5tGiPhRc5hGMMSxfvhzVq1cHqvR1dXeIl9Jl3S1sf6tRtgBTjIPfvYu0xIf4e0tFXL58Odt+QRBw9OhRbNmyBWfPnsXFixcRHx+P8uXLo0yZMihbtiy6dOmC999/H0WLFqUiVk6aPXs23nzzTXz44YeQy+UYPnw4Jk+ejDZt2mQeYOECWLAwjNA4sBRioixeZFDmkjhCJpdDplRAp7Z/8SgmsKyFzJE8EScLIwKF0Ze9YrLf0lp65vTPcaJnS9QeUdPu8dlYKgjkzFxLe0Fm1vbec6PxR7lyDjevD8IYYwgPD7cYlFXbsxbHGnXB3bt3cffuXXyoe4SeJ27jh7qlUGrJD4ifuRzjx49Hp06dRD0nj4qxGWk6q2tp2mPtPH3g+OftBQhQKqHR6nA3PsmhtvXBZO8Ttayua2kegOqlMrnN4NL4tb+KtTQEcG9UKY+MCxmGdYrD/YPQo9DLuZTW5lW++dMWAMBdAD0s7FeqMxvUF9wBgPm/HsW43/4EABQFMMOoH3qrx8ciNTUVJWevQFzqy5Ljf7zTFe1WbEU8gITpYwAAlZC5NJhMJjOpOG4uSMHwQuIqIKmMz+dSXl2OhIbF5iEFChTAihUrgItHDNsoa0l4kpqESkvKnC9x+/Ztk+1xcXFYs2YNli9fDo1Ggw4dOqB79+4oV64cihQpAhmHZQVIpitXruDmzZv4+uuvDcG5SqVCRob1eWEsei66FFBiW/RYk+3VwoJx7qnttdSooA9xlNxXJSq4DPtkkclj4wvSgOqlkHz2Nuwxv4gdOCcCyui5sPTsdX84AK0zwaUL5lxWqFAhx9oODg5GcHAwqlatCuxZi8mTJwN71mLXrl32TzbDY63L9HQtzrXrZzVQvHXrFkqXLu1U2y+mjwFjgNLCjUzj7CVvqQ5evhvfZDF+TSvT1ECg88tuvPnTFmy+9hdWTziZbZ8+sASA+8i8UTMQEdn60nPDbpPAEgAardhq+DrfJ4sBAE/8fPHaik3YPyx74SljAc58I2aSBAE8op3EBMpciuJLmUuP1rFjR5Pg0pGhIYTYIxjNc7CUvbRXObbdu5tRpEAAVk57DYIg4NChQ1i6dCn27t2L5s2bY8KECahTpw7Nk8xBM2bMQKdOnVCgQAHDtpCQELz11lvw9/eHj48PBg0ahJ4hNXAiepkhs/NzXGaW0jg7eXb8UPtPSJlL4iC5rwrqxBSbx5gP1TYPEp3NmK8eH4vlRm113NYUW789gmFbM59L3myhSRZf1HBZ48ylMxlL4/Up7Z2fld0ck3EP55A9MydmiKhxoGZ+vLXHttrVt2mJlOByTeRZXI97jlS1BtX2nM62P330p1i4cCH2L16MhQsXWuyXsTrfXUTV8qbB4uB/atvth3GAqR8ia5ytdDRrCQBJgu0bqmLnPqpSMwC7A2xt61G+AToFXTI8pz57KZhVcy1m4dxBwgGE3/UX9TzjmtVF/ZJF7X5vgTrxc2z/yNhnfWdk5n/6pRidQZlLEVQ+cig4VVAihHgf8+s1awGmOeOAUxC0mDNnDpYvXw6lUomuXbti9+7dCA4OzpE+k5cePHiACxcuYNasWSbbp06divHjxyM9PR07d+7E7du3wfJnZmhiWjVE9P4/LTUn6gJHR3MuiYOkFPXR27jqIZe+aDUMQ8bWxJCxNSFvlhmg6C+oK4bmw+WPhxmOtRpomq9z6Syxy4JkBZhffvklhg4ditpGBXssBXrmQZbxY2vZQLHzGM2f13z7AR/rwx9tWROZOae0/aotSM5Q4+6kdw37ng4aj7CwMPgA+Ej+DB+9XhvfnjiBunXrWu1fs53HEdn4NbyQ+LLp+2cNhJcOBJBidTisraBSL0lr/1rc+IaKfmgsi56LQcIBwz5Fku3gJyMpCapA+7VgWT4/4EVytu3GAeZdKxWYHybZvlEEAL0qlUT4Lyrchv1qsH5qNcBl5U3p8uqcS4ciRT8aEusdomJwufPgbJu1Wj4V1UjepbNQoU1MEZ+jm8Zjz1dd8fvGD3HjxnX8/fffmD59OjZv3ow+ffpQYJlLpk+fjmbNmqF48eIm22UyGQICApA/f34olUoEBASgmvYfDJwTYRJYOlUpkIbFEgeJWbLA/LVoPvfyf4PCufRFm/Hy9as9/L7JULorzxNQ4tMv0XPNVvRcsxWy41bu5wsaCEIu3mSJisGDt9/H9evXMXDgQOyq0swkGBQTPNpjKIKzZ63hnzOkFvTZ0LsTNvbuhJKLt+FKlyFAVAzCwsJeHpAVkA94cgE6o7ujZ9u+rE3R5ehlpKamYvDg/pL6ohfgn5mps5axFCNB7Viix9qarspE68HPkwsXsWPgINw6IGLecdDL7Kf5cwkxUSbZ/NJG+5aiseHr7v5VLC7rUw0heO1Kebt90PNNE58tbKR6DY1Ur1ndLyVrCVDmUhR/GhLrNSpVqmTyuM6G3/B48ffo0qUL3njjDRQpkgdrJxPJnE1CJcZdAwAkPbuJ0qVKYVyvaRx7RcR48eIFYmNjsX79epvHpaamIlDEnWyxqKAPcZTYzKUQE4WIecvx7+PMeb+W1mKVyjzpmHr4fQBAsXZf42FKGg71bovyy34CAGzKen5t1jGmDWUACl9u/bKnSJEi+OWXX/DFF1+gX79+GD16NKqJG53oNH12Mi3NckAzadIkbIusaLJN6lIkdYoXBgD0fKsSKlasaPPYzz//HABw6dIlnD9/Hs8nvAMAqFu3LoYMGYLUJD7XwDzWctaAQe7nA22q+ODF+AbLvKBjGJcYCUW89axhaPlyKN2yJcKNMrrWCPlsD621VFirDAAVU2FVVuVaH/986JAajutCPGYiFm+jJFoy8UGlnm9yKhCcwy9mkRJozqV9VCnWyxgNofk3KrNE+IoVK9CzZ09Ur14dXbt2RbNmzUyGzBijOZrEnODk2lLtRmwxfC2X09B7V5g1axZq1aplt9BHamoqvi4bZHhsfKHuTOaSCvoQR8n9xK3VvHp8LEYhAgNjLKxziexLNThDk2755si9PS+HYSqXA2qjl/mstb9jQr8mpifo1AByL7gEMqu+jh49Gq1atULv3r3xe8GC+K1NHQDiMpb3eo/Bs2fPcOXKFXS/cdxkX+C0r2Cpdmq3bt1w584dVKhQATVr1kStWrVQu3ZtFC1aFK39fkOLLVsQGxuL+vXro0WLFijoZLEjfcZpTeRZ9D9WHe+MrWX94KgYxMbG4vlfs1CjRg107doVERERQHhmdnty1mEP7ic41Rdz9koGfF/3lN2hsd/XPYX2e/dgj2C9ErfewDkRWP37vybbzk8ajdXjY6F4ln0oq55CpULEu8NtdzaLLsjX8Fxi3TR7nP48EQBQjgUbAk5n+CQkA8Fh9g+04V58Imbs/xMZ+ctDpXR+TmoSZS7to2Gx3q127dr46quvMG/ePPz4449YsWIFZs2ahcdRA1zdNeIhrCWhxAyN1ZNRsZ5cl5aWhiNHjmDp0qWijgWC7B4nFmUuiaMcnXOpv/C2tHyB/mLY2SBTayW4NJZ2KDNTqZ+TOXnliezBpQsqxupVrVoVf//9NyZNmoTC89bg0TgRwz+jYlAMQLFixTKXOEN3k933hk7EiatXceXKFVy5cgUJCQmoWbMmNm/ug1deeQUqVfbfYeXKlTFq1Cg8e/YMu3btwpYtW3Dl/G+oV3Wg09+bPsjMly+/zeMiIiKwZcsWm8dwG72XdRNWH0CaD48VE1gCwJ6sWJdFz7UbYA7asd/w9ba3OxuOlT11bPkUa7SBvhhkIbC0tRRQS/O6rjoByiB/u8W67FG+SARKSGoCKRkaPEhMhk+IGlIKHuXVOZeODYsNoMxlXuDv749+/fqhX79+mWsNbl/p6i4RD6HlkIWiVUVy3/z581GmTBnUqlXL7rHx8fFYlq8BmmoK45UUx9cyNSdQQR/iIGcK+hhbPT4WOn8VBk+RNp8KADTpme95+vmUtqrDag+/bwgws7G01mUu8vHxwdy5c9GhQweU6NsXd0b3MuzL/9k3ePvtt/Hxxx+jyLqFogoHBQcHo27duiZFcsTKnz8/+vbti759++L40ev4ap7095nUFOlFk3glWMwH+Igp4GPveBY91+bNk3AGPMx63i41KgFGRW/fvfaXQ8/fo3wDbDY/p77pQ3s3a6ytU6kMlh5cKuwsf2WJft6lvnrs+ytWYtcLAUL/zOWKnJ17mZamQUaGVvLcYU9jM7hMzXiMypUrGx4XKxmS0/0hbsZ8bqaxy5cv29xP8p5CoSqolNKiw0IhNEIiJ12/cR2yEH8Eh2QWSdLpBPxz9RxGj3sPz3S2P9QFAbgWdw/vN6yD9D/uZtufr5ITt4udHEpN8i6fUkUQWKWM0+enpqbizv17JtuU5Yo61VZ8qi8SdT4IRuaQvkRdqM3j9cPI44Ug+Bhl7x7dSoAgMWhWKGQoXsr289vTvHlznD17FljxsmL0mTNnshX5yi3BIYEoUiwfgMxpFympqUiIj0diYiJKlSpl89y09HTEPXmCsuXKISNDesFClUqOsuXDoJV4Qyw0xA+lS0v7PQGZr6Vbt26hzFebURYhNt9/Hxq9zeoznfqs4qthATg+fgQAoEr0XFyE7XnJBTQCNFodGAPkVu4GP/JVIywsDNsKZS5H1eV/wYbn21bH+hJVynz+UARIWxrFR6tB2QAn/5YyTLOt+p9VsXDn53BePf8AAXbmpNrj46tAkWKeU9iQ2ZojVbduXeHEiRO52B3iCW7fvo1Vq1Zh5cqVCA0NRa1atVC8eHHDv2LFisHXN3fnjhBCbDt58iQ+/fRT3Hv0AGP2LZPU1qzDp0w+gO0NybKl/ZFFKNxYegaJ5B1fzj2Cv4/dltSGTJY5jF+/ZAUgPjuhP6f/seooVtIfs0oct3ps/2PVDfP+jM81f74SpUNx59Zzh74Hc6Fh/li0srv9A0VKS0tz+Wf5retPMeXD3ZLb6TUwAm27VOHQI/dx+O1Z+G39TyiJICiY9Zu6+iVInCXEREEePRcxrRti3G9/Zttn/llQfe0elC5dGtu3b3d4TepfXo/C/d/+tX+gDT4F8iE9zvn5sfq1mwHpNQUA4Mo7I3D/kbRsbLGSwZj1eWdJbdjDGIsVBMHxoQYWODQslhAAKFWqFKZNm4ZPPvkEBw8exOnTp3H9+nXExsbi5s2buHPnDkJCQlCiRAkUK1YMxYoVQ7ly5fCB9uUCUVQMiJDcNWnSJNSuXRvLVq7APtyzf0IuoYI+xFEKpfQhZjpdZmEVffAHmAaN1hgHh8Zf2zve3rE8Cpmlp1kfkusMVweWAODr5/h0LEu/x9RUTmuJupEUpYDP8C+aoxj6wHol3NXjY7NlIh0JNvXHmgeWltr5qVwDTJ1aH6+//rrDgSUAqPLnc/gcc+nPpc0j1Q/Z1Q8pVmu1GP7Trygh+KEUc7zegBMv4Ww8rTAQBZfEaXK5HK1bt0br1q1Ntmu1Wty/fx83btzA9evXcf36dSxbtgwfDOniop4SQmQyGRo2bIjQkFAglW9wKaXiJhX0IY5SShx6b2hHJUdGutYkwNQTE2haYny8cZuXHj/Fl3+cxIJOLaCUy7O1K5dLL2SWkc43uHQHvr7ZL1PXRJ5FxLe3kZGRgjpV38q2z5I0DnMu3U2hIoXRGxVQF4XsHivmPbo4/DCdNTQ8Ns7gAUAYFIiLed9iYFoH4YgVHojotW0+IZnLXNmqOmv3e9HqoAj0gyYpVVJfdmxORNyJK3h7Vi1c/icOxeHc0HBfmfQbqIkJ6RAEwamA3RUouCTcyeVylChRAiVKlECzZs0AAIMGDQJ+kjYUjxBPlZKSgt9//x06nQ7R0dGYM2cOxo8fj88++wwff/wxZs2ahQkTJmDmzJmYOHEiZsyYAZ1Oh08++QTTpk3DlClTMG3aNCgUCiiVSigUCqhUKiiVSqhUKqhUKsM2Hx8fwzb9fv15qanSPmyN8RguBFDmkjiOV3EMhSIzuMwNCWkZeJCQBI1OB6U8e/8Zj7UPNTpotTqvWs7JWuYy0L8Q1Crx72femLlUBgegBXMu4DHOzs2cORdFE7IX2DE+xvg9Xj8N4kvhd5yHGl+xlgipYnv+q1g++U0zg5YCWWvFgIyp8vlLDi41aZmvGaVcjsHM+SHVPjrpN310OgEpyWoEBHpGTQoKLkmuKFeunMlj4zW0aIgs8XZffPEFfvzxR6SlpaFixYoYP348KlWqhK+//hoAsGxZ5o2XFStWAABWrlyJmzdvomrVqlizZg0AYM2aNdDpdNBqtdBqtSZf6x/rt+m/FgTB8L9KpeISXM46fEpyGyYoc0kcxGNYLAAoVTIga5k/MRlKe0NbzdswfVwdAeVex/C/LZ/LawmmjHSNVy0bp/IxvUzV/w4Ov+WH/sdetXqe+e8ijfOQYXegCg6U3Mbq8bGoWmMInp+5YfMYS1+PZC+X05E6FFVPFRpkyFpaG7qbLCQjgAVY3KenCPIH8FRSX/TBqdS1cJWaDKyJPGd47Gzl2cSENAouCckmKgZ9+vTB+lrFTDZToEm8XXp6Opo0aYIFCxa45Pl1Oh169eoFxhikXMLaCiydXZCeMpfEUUpOwaVCYb0dRy4Anb1YNGajHotD0tO18HO+sKXbkckYfH0VhuDQvECSMVtDmdO8MHOpCrEdYIkl95EesGQ8T+TQE6A67H+GvD6yHI599dDmMQp/H8l9yUhIltwGACjSTde6tPb6tScpIR1wrqh1rqPgkuSqr7/+Glg2w+I+CiyJt3L1XAlZVrl4KX0wDiz1d5RVAJayloY7zc4sSC9oc2dYIvEeSk7DYh0dPmrpgrBQeCAAHlkbPu8PvIv6uAMfP6VJ5tH89yCmsBKPdS7djSqYT3Ap43CzRpuWAU1aBhQSl9Mxpp96sfjIPxi78xAAIBxyu4ElAMh9xFfR0d8Y1c8x1Q+7zeCUjVWkZA9SnQkwExPS7B/kJii4JLkqXz7plcAI8TQ6nc7lE/FtLTvlLPOw8L///kPJkiUdaoMyl8RRCk4FfRQK8e2oNWlQKrJXT9WoeQ3r5vN34JVFffwUiJe2SouXZi6lD4sFAMZpjm7GiyQowvNzacvYmKb1kG+XY32UKRwLb4yLFw0XDmApawkIApT5/KFOkLaMCEvkE6QmJnpOxVjvmfVNCCFuytWZSz2ZlQWv7TEfDivEREGIiYLGqKgPi56LUkt+cLhtqhZLHMVrWKxMZIXW5wl3sPPQZLxIuJttn0bD6fXL6R5LujcGl77Ws1D6rOWTpBT0Wr8D3fcVsXhcWqr3/Vx4ZS55jcnmMTT22evDTB6vHh/r3JxHkQWyfhfuY/nxUybbQrL+Hzgngsu8VtnzeC5D5xPjKbgkhBCSxR2CS30fpM26tEzSAt2UuSQOyu1hsfkCi6DWK92RLzA82z61ms+wbh2nkQXemrm0R8YYVAoZmJVAyRszl0pewSWn1x6Poj4qs2qxThP5PSVBg+cppkHbbKNqtIogP+l9eSox7Z4liYbFEmJDVMzLr+dGG748f/48qlat6oIOEZLz3CW45G3gnAgMis4cUnSqz+sm241ZvftMwSVxkNJGIR5HiM1cymUKlCnWwOI+dQafYE4Q+PyNeuOcS2vLkRj74NSrQPFXYS3c8salSHgNi+U1eiTjhfTg0ic0SHJ1VkD8TctNMV0BAIEqJUb9vB8A8FRIxriYpoiJmYvxcZnHiVn+xBrd4zigCkzW03Umk+lJw2IpuCRuY9SoURgwYAD69u3r9PA9QtyRO8y5BJwPcCc0qwXAerVY8zUvbS2Ane1cbxsWa3TDzMD4hhqRjFfmksfyHxqNAMakJX/WRJ7F/fgktP17M4pXGIGC+cs73VZGhvcVyPL1tX6pKvYiXZ2h9bo1QBX+vmByGQSttPdQnZrPDQkew2IVAb6QKRWS+6QTedNH/3k1MrKOIbiMwnGEjQ/AeKO/aWeK1ekJCUlQKGTQaHSShscmJnhOcOk9f2XE4/3zzz84cuQIRo0ahbi4OFd3hxBu3GlYLE8seq6kIbEADYsljlNyKujDRM7LsofHupuFAv0xrEFNBAdJW2sgr2YuxfC2obGMMS7zLrXpfH4uPIbFMsagCpWekdWmuU8gxgAEBEh/DXtStVgKLolrRcUY/pUuXRpHjx5FZGQkevbsiT/++MPVvSOEG3cILqWMCDBfikRqUKnndZlLkuN4BHNA5hqKPPAoMKSQyzCyUR2olNIWqfTGgj4+NjKXjvDKoj4chsZqU/gEYrzWuvQJlT7vUpMsPhDTZyPDAzPnV5bMl/kzXcVaYlezsSYjcwbOiXBoZI6ev6/094gkD8pc0rBY4laUSiU+++wzvPbaa+jbty/uje1j2EfrYBJPJTWw4yWzoE/uszmUiDKXxEG8hsXy+luQmknVz8XiUVHSGwv6+HHKXKamZABWZ2V6Jh5FfTQpfDJivIJLHkV91Impdo8xDxIfJmWeMzXx1ZcbrXw+6dfGFMtPyaDTafH32e9QqXRLhAY7tmQX4FnDYim4JG6pZcuWOHXqFPAtn+wIIa7krcNiv2rXDO+2eNXiPn1m014hBK/LXNL8yhzHaykSXtElj0xq9PVGAKRfnKene9+cSx8bS5E4gjKXlqkTpa3jqJfxIplLOzwyl+lWiguZB5RTfjmCgbVeQenCBZE0YwweJ6Xg0Jzrhv06rdZqHQFHAkxfpoMAAREh9/FCm+HAd/JSSnIGNBqdQ+vzugoFl8RtFTQLLHft2oUOHTq4qDeEWPfbb79hzpw5YIxBEAQIWdU99F8nJyejXbt2Lu2jYSkSjgGmpcBykHDAUD1WVL8oc0kcxGvOJS88LvZ4LWninXMu+VyqemXFWA6ZS3VCCiRXpQKQ/oLTsFgOmUtBrYHc38fukN/p+49j+v7jEGKiEKBSoUx+FQ4Z7demORcImvOBFnKZAut6d0L/Y84X7EpOSkdwCIflUXIYBZfEY3zzzTf466+/8PHHH8PfX9q8FEJ4qlSpEpKSktCgQQP07NkTjDHIZDKT/0uVKuXqbkoKLCc0q2WYd6mfg6LPTuofO1VJz9sylyTHKVVyPH56BSFBxaBS5ewwRzHDVeU8gksNp+UgvHBYLBX0sY5HcAkAyiB/qBOkZR4zOBT0AQBVCJ+1LlUhgUg1Ci4tZR+VjKF+ySKGx+afYfrg1Hi7cTtis5dKdYZhGRJJy5HEp3lEcOlet/8IMWZU7AdRMTh58iTy5cuH7t27Y/v27dBqvW/4D/FMJUqUwJIlS3Ds2DEkJiaifv36qFevHurWrYs6deqgdu3ayJ8/v0v7mJNDc1n0XMMHrHHxAzFrg0kto0/yHqVSjn1/xOD3f5fZPfafs9/jzsOTFveJTdSsiTxruCC0hEvmktN6md5Y0MfWUiSO8M7MJZ+1LpVB0gOWdF4FfThkLgFAGfjye7IUWK4eH4tlaIFB/1XG6vGxFoNES3M3nbmJOrJc9vcPW+8p1njKvEvKXBKPERgYiDVr1uDw4cP4+OOPsXr1arz77rto3bq1WxRLIXlbREQEpk6diokTJyJ//vyIiHC8olxOkxpcGmcvjc1GNecbpcwlcZBCKUfjOkNRINT+8LIbd48iIekBSoTXzr7TKLh05kJPj0fVWV4ZR8pcWkeZS+sUAb6S2+CWueSwFAkAKPx9DF87ExACQHo8n+/JGkcLeSUlekZwSVfkxOM0a9YMx44dw+eff47vvvsOvXv3xpEjRwzz3Ahxlfbt22Po0KEYOXIkrl+/bv+EXJQTmUshJgqrWEsUYoWybTfOYNpsg+ZcEgcplXKUKvYqAvztjwbo0WYJWjX80OI+Xp8ZMrn0Symdjk+QSnMuraOCPtbJ/XzsH2RHhpUiOo7yyZ+PSztyH5XkNrTJaWAKTgXEOKDMJSE5iDGGdu3aoW3bttiyZQsmTZqElStXYtSoUahXr57Fc5IS1Fwq6eUP8+G2+DbxPkOGDMH9+/cxaNAgbNq0CYULF3Z1lwCYBpdBGjkcvax+9vQZ/AMy5zrX/3wtmpUtgZiOLTBwTgS2rHpoOM7463yVitltN1WpwL178Q72JrvChYM8oooekU6pkqNIMekXoIH5fFCkWD7MLn3M6jEf3Yo0fF3Eyss5JNSPS3+UKjnUGdI+owLzSc9AuZvAIB8uP18VpyVs3ElAiYIIrlRCcjuBJQtBJ7V4DWPQabWQyaX9nAOKF+DyPfkXDePSjjKff2bRIwt+WvVY8nPweG27G2brzl3dunWFEydO5GJ3CHGOVqvF+vXrMWXKFBQtWhQjR45EjRo1TI7ZvvEmLp97Ifm5xk6p6XbVCon7GTFiBG7fvo2NGzciKIjPHBIp2rdvj/fffx+vvfYa/qn9PuDkXMeBcyJMCvkkja2PwEXHAQCnTp3ClfhUtN86VnR7G78NxoHfHjvVF2NffNkFYQW8aw07ksPmRtveT8vKEEJ4sfR+40bvMYyxWEEQ6vJoizKXxCvI5XL069cPvXr1wqpVqxAVFYVKlSph5MiRqFSpEgBAqxFM5tU4u2C1XE5ZS2LfkiVL0KtXL7z77rtYsWIF/PxcW+FNrVYjMJDPECpz+mBTLxFjxZ/L6c+JRtcS0fQXeVEx2S/49Bd79gJPQghxhBsFkjmN0i/EqyiVSgwbNgzXr19Hp06dMGLECIwfPx43b96ElkNVSsb4zIsh3k8mk+G7775DYmIi3nrrLdy5c8el/VGr1QgIyMzsSQnoktL5rPulx2uIuY6iS0IIIcTlKLgkXsnX1xfvv/8+rl+/jkaNGmHgwIG4evWGyTGOVAdUa9Jx8fqvEOB91eZIzlGpVNi6dSsqVqyIHj164MiRIy7ri2nmMntAt1+4i/8E66XkB86JwMA5EQiavNiwTT8kVl/Ax5FCPnq8MpdU0Is4zDiDqf+nl4eyDIQQzuZG5+nRDxRcEq8WGBiIiRMn4tq1a/D3d34+VlLKE1z97zDSMl7w6xzJE2QyGebPn48PPvgA48aNw+eff+6SNVqNM5eWXMAz/Afb65SZD3/Vb2PRc1F1tv01By3hNRCAMpdENH3gaB5QEkKIVHk4qNSj4JLkCSEhIShW1PmKXqH5iqNT8xkIDS7CsVckL3nrrbewbt06bN26Fe+88w5evHiRq8+v0WheZi4tBHTvsRpozIo61Ka+kA8AXHiWACAzm+kQCi6JK1BQSQjJaXk00KTgkuQZGo20OZeMMSrmQySpWLEi9uzZg/T0dLzxxhu4cOFCrjxvRkYGNBrNy6JCToxFtZS15IHbsFgKLgkhhBCXo2qxJM/QqLVOV4jVo+CSSOXr64v169dj+vTpGD16NH799VfIZDl7n+/p06dQKpUOP8/AORGGrwdFHzB8bTyv0tE5luZ4feuUuSSEEOJyxlWo8+gICQouSZ6hVkuf58Yo1084mTRpEpo2bYrjx4+jYcOGOfpccXFxpkuhOJEuFGKiwKLnZgsmHR4Ga4bbUiQUXBJCCHEHeTSo1KPgkuQZUofFAsDt/25iwIC5iIyMRN++feHr68uhZyQvkslkaNSoEdatW5fjweXTp0/h7+9veMwY4EwoZhxY6ofJCoiSFGA6G1x+X/eU4eveJ2qhzJbZ2Q/K4x/whBBCPIDx3Ewv+NyiPAzJMzRq6cFltWpVEBMTg3v37uHNN9/EH3/8waFnJK8aN24c/vrrLzx69ChHn8c8uHQnvDKXhBBCCHE9ylySPINH5lKlUqJly5Zo2bIldu/ejREjRqBKlSqIiopCwYIFOfSS5CWFChVCmTJlsGLFCowfPx5KpTJHnuf58+dGa1wCPEq0nuz9GpZfuie5HbFzLo0zlY7sI4QQQtyWeUXZudEen72kzCXJMzQc5lzKFS//ZNq3b48LFy6gRo0aePPNN7Fx40aXrF9IPNvEiRNx8OBBtGrVCmvXrkVqair353jx4gWCgoJebhARWxoX87GkVq1a+Op/HST2DDZTl9/XPWX4F3PoOIImLcKYbb+hwpwVuPjoqfTnJoQQQlxhbrT1pUo8fAkTylySPEEQBC6ZS4XC9H6Mv78/Zs+ejb59+6Lq7jXAr+sN+8616yf5+Yj3q127Nvbv34/t27cjJiYGqampGDZsGNfniI+PNw0u7bAXWBqTWtBHJjKJuun0JSRlqPH5HychYwxPkpPxCsIkPTchhBDilowrznrYnEzKXJI8QcshsASyB5d6VatWzbYtOTmZy3OSvKFz584oVaoU5HI597YTExORL1++lxvcaKIjk1kuLSQIAr49cQ7PU9Kw/fxVxN57DF+FHOv/1x73JgxH07Ilc7mnhBBCCLGHMpckT1DncHBpSbdu3RAdHY2WLVuCudHFPHFf6enppkEgJ4mJiShbtuzLDRZejo5kKwHg0HkZ6q6oJ7FnsPq3oVanYN6f/6BIUAA6VC6LUQ1rY0bbSAT7+aH3iVrZjv94YktUrxEuuT+EEEKIS+izksaZSg8cIkvBJckTtBwqxQKmcy7t+f777zF06FD8/PPP+Oijj1C0aFEufXAX1fasNXxNQ4D5SE9PNyu8w0daWprNdh0NLAFA4LSupLX7LipVAE6O7QdlVib3i66tLQaVejodn79xQgghJMcZD2/VB5D2AkkPGBILUHBJ8gi1hk+hHZuZS7M/+mYAzpw5g7lz56JXr14YMGAA3n777RyrCOpO0tLScOvWLdy4cQP3799HkyZN0P3GccN+CkYty8jIcGhupFjp6ekICAgwPJaaSV89PhalezsekJoLXHQc3QB0q/tym3EA2f+k+OcQ+MS6ruFh82kIIYQQayi4JHkCjzUuAUCucGw+nI+PDyZNmoRevXph+PDh6NWrFyZNmoRatWpx6Y+72LZtG27cuIFbt27h+vXrePz4McqUKYPKlSujWLFiGDNmDLqP6e3qbrq9nAouMzIyTIJL43ShI1nL1eNjDV8LIjOFgYuOmzxOGls/2zZbjJcZsZ259OTo0ohxEQdCCCF5i6X3fuPMpgd8NlBBH5InaHIjc2lDuXLl8Ouvv2Lq1KmIjo7GtGnTcOnSJQgemG4RBAH79u0z2Xbx4kWUK1cOo0ePxq+//oqEhARcuHABP/30E7744gvcvn3b5PiZM2fi0qVLudltj6BWq3NkzqVareY+3FbQutdr1xP/lmzywHk2hBBCCGUuSZ7AK3PpbHAJZA5F/N///oe2bdti9uzZiIqKglarRcuWLdGqVSv0fXjW5Hh3HDp6+fJlzJ07F0lJSaixeDFatGgBmUyG9XbOM6+AWrlyZYwdOxZhYWHo3r072rZtC39//5zrOEcLFy7EqlWrUK1aNQCZQc358+dRtWpVCIKACxcuoHfv3jh16hQEQcDFixfRs2dPnD59GpcuXULlypVRvXp1nDlzBpcvX0bFihVRvXp1bNmyBQqFIkfmXGbLXHJgK5izlZl0Nmupf2wte+mxmUsKIgkhJG/TLzdiaR5mVIxHZCuNUXBJ8gSdTkBAoEpyO34B0udLhoSEYPbs2fjss89w5swZ/PTTT5gzZw769m/vcFupKRrJ/ZHJGHx8bQ/3ff78Ob788kscOHAAU6dOxdChQ6FQOPj2YfTmOAXApEmTsHfvXixduhQLFy5EmzZt0L17d7zyyitOfBe54/bt21i/fj3GjBkDhUIBxhjmzZuHcePGgTEGxhguXLiAEiVKoGTJzKUyLl68iLJly6JcuXKGY2bMmIHJkycDyLzpMH36dEyZMgV+fn4oWLAg936r1WqT4FIR7A8wBq3WNKO/fvYV9PmootV2Bs6JwPrZVwAAch8fANn/HgIXHZXU14CAzL/TFa/8bXH/93VP4Z2Lr2bbnpKSjOfPnyM0NFTS8/Og0+qQkqIWd/DwTxG4dLLFXUkJaVyWjfHxVUCp5L/EjTMc+tnYoFTK4OPr/fPXCSF5hLUA0gOnSjBbd5/r1q0rnDhxIhe7Q0geZpbB6HTkIlq2bInIyEiTrJ5xldbBx2tAo5GWsQkv5o++71Yy2Wb8HB8/k2PFihXo1asXpk2bhvz580t6Pkvu3r2LVatWYfny5QgLC0O3bt3Qrl07t8tmDh48GOHh4Zg5c6aru+KQhg0b4ocffjAEvHoTJkzA9iaVrZ9ovnizfpsttjJxlsqsW2tbTDtmxwVO+wqFChVC3bp1Ua9ePdStWxd16tRBcHCw7T4jMxO7Y8cOTJw4EX5+fhg4cCB69eqFkJAQu+eau383Hh+P2i7q2DWRpiMW+h+rbvi64iuFcOXiY1FtGJ9nbtj7kWjUrKzV/bnp0YNERL+7TXI7jVuWwzujG0nvECGEuJqlANLRz16JGGOxgiDUtX+kfTTnkhA31a5dO+zatQutWrXC2LFjsW3bNiQnJ5scw2MoILPzLvDPP//gyJEj+OKLL3IksASA4sWL45NPPsHt27fx2WefITY2Fm3atMGyZcvcZomJx48f48yZMxg6dKiru+IwjUaTbVjsw4cPcfSotCyjuzl27BgWLlyI2rVr48yZM4iKikLx4sXRpk0bfPfdd0hMTMx2jiAIOH78OJo1a4Zx48Zh2LBhGDBgAH7++WeULFkSPXv2xC+//JIty2uLXM5nXVsB4v++zYNUY1qJN6B4kjK1wJiW0zx6QgghfNGwWELchdldqREARowYgefPn2Pnzp3YtGkTFixYgGcfDzEcs7qh9ayHGIYL0j3HDXM8b9++jWpGx+zbt0/y0hViyeVytG/fHu3bt8d///2H3r17Y/To0Zg1a1aOFLpxxNSpUxEZGYlSpUq5tB/OyMjIwJdffonNmzejR48e2Lx5M2rVqoU2bdrYzybaIQgC7t+/jxcvXuDFixeIFHOSpYyovg9i7s7OjYYwbg7++OMPTNz1N0JDQzF9+nTIGUO5cuVQrlw5dOrUCQCQkpKCQ4cOYfXq1Rg5ciRee+01+Pr64s6dO7h79y4ePHiAAgUK4J133kHnzp0Nw72bNm2KFy9eYM+ePYiKikJcXBz69++PgQMHomJF60OHAUAmExdA2QoIAXHLqxi3of/a/H1Aq3WPGzQAoFDyCS7VnObRE0KIS1n7LPRgFFwS4uZCQ0PRt29f9O3bF9euXQO2Lrd6rPGFprVA09oFbVJSElasWIFt27bh6UeDDdtzK7A0V7JkSRw8eBAffvgh+vTpg/nz59u9qM8pL168wIkTJ7Bu3TqXPL9Ub731FjZu3Aggc/4skPm6+u233/Dxxx9j2rRpMJ6RvLV8QyxduhSfNvsb2Wc3vqRWq/HWW2/h8OHDCAsLQ758+RAUFIRDHSyfNWPGDDRr1gz16tWDr70ht+ZBptmxderUwYsXL9CzZ0/07NnT6uvU39/fcMPixYsXOHjwIGQyGVq0aIHw8HAULlwYfn5+Fs8NCQlBr1690KtXL1y5cgU7duxA48aNERISgmrVqqFGjRoYMGAASpcubXKeTCb+b6b/sepWg0IIgt0hr8bnW6PVuE8gps9carVqXLq5DxVKNYdK6fjwd42aMpeEEC9i6fPPA+dbAjTnkhCP9ODBAyyYvwhzCzs/3G38rkMoEZIPoyLrAAAKz1uDdu3aYfbs2QgPD+fVVS6+++47jB07Fh999BHatWuX688/btw4JCYmYtmyZbn+3DkpLi4O06dPR1xcHNavX4/q1atDEARUr14dNWvWxIEDBxAZGYnPPvsMFSpUMDlXrVajR48eSEhIwLx586BSmRbMMp63qzfg/GOcPHkS165dQ+3atdG8eXM0bdoUDRs2tLi+Z0ZGBp49e2b41/jPl/MYvwoojcaNG4vOEvKi0Whw8+ZNXL16FefOncOePXuwfPlydO3a1XDMi2cpGDNoi+TnsjUf01bQab6vz5C6eL2jexTKSk/XYGjPDUhOfYqDxxejUe3ByB/s+GiAqjWLIHpa6xzoISHE63lo0JaTeM65pMwlIR6oSJEimP7pDGDJRKfOX3DkH8Qc/gfVCocZgsudO3eiXr16PLvJTd++fVG9enW88cYbOH/+PMaOHet4tVonpaSk4Pfff8eKFSty5flyU4ECBbB48WJs27YNzZs3x/jx41G1alVoNBp89NFHGDt2LNavX4/69eujZ8+emDJlCsLDww0Zy/j4eMyfPz9bYGnNuHHjAADJyck4ffo0YmNjMWnSJJw/fx6VKlVCUFAQnj9/jmfPnuH58+fIyMhASEgIgoODERISghM9Wxraatq0aY78TOxRKBSoUKECKlSogPbt26Nt27YYPXo0Dh8+jJiYGKhUKsjk7lXOwN3mXB779xs8T7iDjs2nO92OO2VjCSEextrUDMIFZS4J8VDJSekY8fYmk232hsfp3Y9Pwqf7/8AXnVu/LLDhAXfwnj17hl69eiE+Ph5z5sxBWFhYjj/n5MmTcevWLXz33Xc5/lyudO/ePUyePBmnT5/G1KlTDXMWgcxhwSNGjMC1a9cwcOBA3Lt3Dy9evMCCBQtEB5a2pKen49y5c1Cr1QgODjb88/f3d9mwbEfEx8dj8uTJSEpKwubNmxGWPxwj+26yf6Id1jKXlv7O+x+rjheJ9xAS/x2+7vo6/FVKw/E9+tZGx+7Vsp3jCoIgIH9IKaSkPMX/Oix1up1ylQrgkzm5P4qBEOIFjANLd7z2EVt/gCPKXBJCoNVmvzFkPmzOmqLBgfi62+sAgEXqdhg7oQX/DuaA/PnzY/fu3fjkk0/Qu3dvzJs3D9WrO1bEyBEZGRnYv38/Fi1alGPP4S6KFSuGb775BkeOHEHjxo1N9h09ehTXrl3DlClTcOXKFahUKm6BJQD4+PggIiKCS1uuEBwcjMWLF2PNmjWoV68eli1dyaXdKQ+a4daNZ6KOXRN5Fl325MfRR6EQIJi8F7hTlo8xhu6vfya5II+GCvoQQpylz1y6a2Bp/L879tEOCi4J8VA6OxUgLRX6sDRHq24D9xrCZ49cLsfMmTNRr149vPPOO/jwww/RsWPHHHmuhQsXomjRom47XJg3mUyG5s2bm2zbv38/pk+fjtmzZ6Nly5bo0KGDazrn5hhjGDBgAGrVqoURI9/F6/U/c7qtp89v4OCfM7C8exvcQs9s+60V8QnJVwyNI4ZhxD+m292pWiwAyBVyycGlmgr6EEKk8JSgzV2DYBs866qSEGJgKXPpDOZAZUt38sYbb+Dw4cNYsGABjh8/zr19nU6HHTt24L333vOIoZk54ejRo/joo4/wySefoGXLlvZPIKhVqxa+/vorSW0EBYSjWdkSaFy6GJc+adwsuOSx1qU7ZWMJIYS8RJlLQjyUmGyEmHUveS347gpVqlTBDz/8gLfeegurV6/OtiSEFEuXLkVwcLDLCse42j///IMPPvgA0dHROZYZ9lZly5YBcMrp81Uqf+we/KbD51mrIOtOBX0APsElZS4JIV5L4vrTrkaZS0I8lI5T5tLdKls6qkWLFpg5cyZGjx6N+Ph4Lm3qdDr88MMPeTZrefr0aYwaNQqjRo1Cjx49XN0dj8PjJdP/WHV8/F+kzf2WWBou627DYhVK6e85NOeSEOK1PDSo1PPsq0pC8jBeQ90cWfDdXQ0dOhSdO3dGVFQU1Gq15PbWrVsHpVKJ1157jUPvPMvFixcxbNgw9O/fH/369XN1dzwSYwyMw6erzs6feP9j1S0GmeYBprsNIVUo5JLb0FDmkhDizTxwrqUeBZeEeCh7BX3E8uRhscbmz5+P4OBgzJkzB7aWWBJjzZo1GDlyJORy6RfBnuT69esYPHgw3nzzTYwYMcLV3fFoPG7a6HR8Rie4XeaSw7BYjZsFzIQQQjJRcEmIh+JV0MfTh8XqyeVy/PDDDzh79iy+//57p9vZunUr1Gp1nptneOnSJfTv3x9t27bFuHHjXN0dj8cjuBR0QrYs5JrIs4Z/eubZS/PH7pa5lPOYc+lm3xMhhHBhnK00XpbEg4bKUkEfQjwUr2yENwyL1cuXLx927dqFBg0aoFSpUtnWaxRj6dKlGD58OJRKZQ700P0IgoCNGzdiwYIF6N69Oz766CNXd8kr8Jh3Oa/8nwAyA8rIDS9Q1z8WQCvDfn2AaW14rJ7bZS45zLkUdAK0Wh3kXnJzjBBCbPKgIbL0rkyIh+JV0EfuRcElAJQuXRpbtmzBpEmTcP36dYfOPXz4MBISEtCtW7cc6p17iY+Px8iRI/Hll19i8eLFFFhyxOOmzdhLrwLIDB5v3v0TW89dtXicpWymMY0XVosFaGgsISSP8KDAEqDgkhCPxS1z6YV3/iMjI7FgwQKMHj0az549E32en58ftFott6qz7uzkyZPo3Lkznj9/jr1796JRo0au7pJX4TLn0ugG0muNovHfxOFOteN2mUtewSUV9SGEELfjfVeVhOQRvIp9eNOwWGP9+vVDr1698MEHHyAjI0PUOa+++ipeeeUVfPbZZzncO9fRarVYtmwZhg0bhjfffBMbNmxAYGCgq7vldbhUixXErVVrzFL2klfxL14USj6FstS0HAkhxBtFxbzMVnpY1hKg4JIQj8VrSJi3VIu1ZNasWShevDg+/fRT0RVkFy1ahL/++gt//fVXDvcu98XFxWHgwIHYsGEDVq5ciffee8/VXfJaXDKXZn/jYgPNbEuRcBpCzwtlLgkhRAQPDCwBCi4J8Vi8shHeOCxWTyaTYf369bh58ya+/fZbUeeEhoaid+/e+OSTT7ismekuTpw4gS5dukCpVGLv3r2oXt2xjBhxDJ+lSEz/xq3NqbQXdLpbtViac0kIId7Le68qCfFyWhoWK0pAQAB27tyJjRs34sCBA6LO6dq1K+Li4pCenp7Dvcs9s2bNQocOHbBy5Ur4+vq6ujtej3H4u+L1N65xs2GxcgWfYbGUuSSEEPdDS5EQ4qFq1S2Opd/3lNwOr/lP7qx48eLYtm0b2rZti6JFi6Jy5co2j58/fz6aN2/uNXMRnz17hlu3bmHdunWu7kqe0X9EJdgaiX3p8iW8O/xdBAYFQp2hRnp6OjIyMm9m6HQ6rFy5Ep06v4HRH+62+1xCmJ/NbQmCDkP6/uD4N2GmeavyeHtAhOR2Br5bH/2G1pPcjo8PXcIQQoi7oXdmQjyUQiGDQqFydTc8Rr169fDVV19h7NixWLduHQoUKGDxOJ1Oh3/++QeLFy/O5R7mnKNHjyI8PBz+/v6u7kqeofKxftPm2bNnGD16BLp264SoqCjDdp1Oh7Vr1+Lnn3/Gmz26QqXyQWqGFptrxKLHmQj0OBOBzTVis7WXmqHNti8142VWT63RIS1VI/l7SkvlM0xcRUEhIYR4LXqHJ4TkGT179sSlS5cwduxYfPPNNxaHh27cuBGBgYGIiJCeoXEXv/32G2rXru3qbhAAKSkpGD16NEqXLm0SWALAixcvsHr1ahw8eBB+fn4QBMEQMOoDTFus7ec1KpbmOBJCCLGH5lwSQvKUTz75BJUqVcLUqVMtVpDdsGED+vTpA8a8Zy7q9evXqYCPi8XHx+Orr75Cy5YtkZSUhBUrVmQ75ty5c6hZsyZq1KgBAGCMoee5ujbbtRdwAtkLAznL3dbLJISQPGtu9Mt/boaCS0JInsIYw7fffovHjx9j2bJl2fbfu3cP7du3d0HPck6rVq2wa9cuV3fDY6jVamzYsAE9evTA6NGjJVUNfvToEebM065r+AAAFk5JREFUmYPWrVvj119/RUxMDLZt2waVKvuQdks3AXgsFcQptoRW415LmhBCCHE/FFwSQvIcPz8//N2jOZaU8ke1PWtRbc9aAJlDFrVaLcLCwlzcQ77atGmDa9eucctgebvNmzfjyy+/RIsWLXDx4kVMmDDB5s9OEAT8/vvvqF69On766Sds2bIF1atXx6RJk9ChQwecOnUKK1euxLZt29C0aVOr7dy4cQPVqlUz2SaTyQzzLa9e3I0me5WispXGtJS5JIQQ7+Vm2UsKLgkhJMvdu3fh5+fnVUNiAaBKlSrw8fHBvn37XN0VtycIAr799lsMHz4cI0aMwKZNm/D3339j7ty5Fo9PSEjA2LFjMX78eFSoUAHr1q3D1KlTUaFCBTx58gRbtmzBhg0bDENdbblx4waqVq1qss04c5mY8ABvh/xjUrjHUoEfc5xWNHG7JU0IIYS4HyroQwghAB4+fIh79+4hKCjI1V3hjjGGyMhIbN26FW3atHF1d9za8ePHkZKSgt69ewMAQkNDsW7dOvTs2RNqtRqdO3dG1apVIZfLcfLkSbz//vsoVKgQdu/ejZCQEEnPfePGDVSsWNFk25ryf72sBFujVrZzRM255BQUaqmgDyGEuJ6bZSrNUXBJCCEAxowZg7Zt2yI4ONjVXeHu7t272LdvHxYuXOjqrri9NWvWIDIyEjLZy4E9JUqUwKpVqzB9+nTs3bsXarUa1apVw9mzZ9G3b1+89957XJ67ePHiuH79utVlcpyl5ZS61GppziUhhBDbKLgkhORNUTGGLwVBQL3zj7F69WpUqlTJhZ3iTxAEfPzxx6hXrx4iIyNd3R23JAgCbt68CbVajX/++Qd79+7NdkzlypXx/fffAwDOnj2Lbdu24cMPP0SVKlW49aN27do4cuQI6tevb3Jn2tbQVzFLlPAKLjUarf2DCCGE5BxrWcu50SbXNa5EwSUhJM9jjGHZsmX4448/oNVqIQiC18y7/PHHH3H79m2ab2nD5cuX8b///Q9yuRy1atWymzmsXr16jiztUqdOHRw6dAhReGL1mJSMDLzz46+Y37E5wvMFimpXyrDYdfVPAwDePl7Tucyl/kLITS56CCGE5Cwq6EMIIQB8fHxw4MABpKen47PPPvOKyqoPHz7EvHnzMGXKFPj4+Li6O24rPj4eBQoUQGxsLFauXOmyftSpUwd//PEHdB/OtnrM6ftPsOXsFfxy5SYAcXMueWQu19U/7ficS+M77G66HhshhHgNN3mPpeCSEEKyFC9eHEeOHMHNmzcxZcoUaLWeOwxQo9Fg4sSJqFmzJlq1auXq7ri1pKQkKJVKV3cDhQoVQr58+XDhwoWX26YuQeDEhSgw9QvcfhaPhqWLIeHT0ehfV3zmlNcSIrQUCSGEEHsouCSEECPBwcH47bff8OLFC3z88cdQq9Wu7pJoarUax44dw8SJExEZGYnz58/jwoULGDlyJM6ePevq7rmt5ORkqFQqV3cDQGb28vDhw4bHT1JSkazWoGz+EIT6Z2afVQrHZrQIYHBmlLd+SKyeQ0uR2JoXRAghxDlRMS//WdrnBii4JIQQMwEBAdi9ezcAYNy4cUhPT3dxj+y7fPkyGjdujIkTJyIhIQFfffUVjh07hgULFiAkJASDBg1Cq1atMHnyZGRkZLi6u27l4cOHbhNc1q5d2yS4rBAahHB/X/w9ui/y+fpmO17MOpcAIJc7/nHPoudCFv1yfU+tRuTwWgogCSEk5xkHk24SWAIUXBJCiEV+fn7Ytm0bQkJCMGbMGKSmprq6SzYVKlQIGo0GmzZtwhdffIGIiAjI5XK8+uqrmDlzJo4dO4YJEybg/Pnz6N+/v6u76zb279+PFStWYNCgQa7uCgCgZs2a+PPPPw0XClefJ+JhSlq248TMtTQmkzuWutRnLY3DScnDYq3dbSeEEOIcN3xfpeCSEEKsUKlU+OGHH1C6dGmMGDECSUlJru6SVaGhoahbty6WLFlicb9KpUKrVq2wevVqPH/+HB988EEu99D97Nu3Dx9//DGmTJmCdu3aubo7AIBDhw7h1VdfNTz+vFNzTG5ZX3K7zmQuhZgoCDFRhsc055IQQog9FFwSQogNCoUCa9euRe3atTFs2DDEx8e7uksWXb16Fbdu3UJcXJzN44KDg7Fy5UocP34cixcvzqXeuZ9ffvkFEydOxLRp09CxY0dXdwdAZtXaNWvWYObMmZkbomLwXpN6mN62qc3zxAyNlckcy1y+fbxmtscasdVizYdqueGddUIIITmDgktCCLFDJpNh2bJlaNGiBd555x08ffrU1V0yEAQBmzZtQp8+fdCgQQOrmUtjxYoVw/Lly7F+/Xps3bo1F3rpXvbu3YvJkyfj008/dZuMJQCsWbMGXbp0QeXKlQ3bpqot90/sXEs9uYPDYi1xaCkSCigJISRnuekSTxRcEkKICIwxLFy4EN26dcPgwYNx/vx5V3cJGRkZ+PDDD/H5559j/vz5mDZtGmQycW/rVatWRUxMDD777DMsXLgwh3vqPnbt2oVPPvkEM2fORJs2bVzdHYMnT57gxx9/xLRp00y2i8k4ipl/KfZ1oWdeKRagYbGEEOKW3CzApOCSEEJEYoxhxowZmDBhAsaOHYvx48fjzp07LulLcnIyhgwZgosXL2L37t1o0qSJw200b94cS5cuxa5du9ChQwfcuHEjB3rqPrZt24Zp06Zh1qxZeO2111zdHRMrVqxA//79UaJECZPtljKOV588x+XHzxxq39FhsZZotCKrxRJCCMmzmCBY/7CoW7eucOLEiVzsDiGEeIakpCQsXLgQixYtQtu2bTF06FCEhYXlynM/ffoUgwcPhlwux4YNGyQvo5GWlobPP/8cmzdvRvfu3REdHe1wpstV1Go1li9fjl69eiF//vwWj9FoNJg3bx62bduGOXPmoFmzZrncS9vu3LmDPn364MqVKyhQoIDJvtnzf0fsqfsm2/459hV0ghb1G78n+jmKBfkg7nGy5L6u3dSbS6BKCCHEfTDGYgVBqMulLVvBJWOMIktCCCGEEEII8V5xgiC05dGQzeCSEEIIIYQQQggRwzPGPRFCCCGEEEIIcWsUXBJCCCGEEEIIkYyCS0IIIYQQQgghklFwSQghhBBCCCFEMgouCSGEEEIIIYRIRsElIYQQQgghhBDJKLgkhBBCCCGEECIZBZeEEEIIIYQQQiSj4JIQQgghhBBCiGQUXBJCCCGEEEIIkYyCS0IIIYQQQgghklFwSQghhBBCCCFEMgouCSGEEEIIIYRIRsElIYQQQgghhBDJKLgkhBBCCCGEECIZBZeEEEIIIYQQQiSj4JIQQgghhBBCiGQUXBJCCCGEEEIIkYyCS0IIIYQQQgghklFwSQghhBBCCCFEMgouCSGEEEIIIYRIRsElIYQQQgghhBDJKLgkhBBCCCGEECIZBZeEEEIIIYQQQiSj4JIQQgghhBBCiGQKWzuLFa4hpKcnGh4LjFk/2GiXYGOf2QMINpoUbJxn8/lsnCYYbxD93Ob7bOwU2QZE/iwzHwpW94lvUjDf4Fw7zPpP2/Z51vfBqM1sh4n7dZm0ke1Y6y+d7M04cZ759tx8brv7RL7MOL1Ube8z+V3aeB3lSl+cfH5b+6zstH2Oc/2wtdfWz92R707cu5yj54lrlYl8j7XXJo++ZCdY/NLKBitN2DrOxj7B6gM+7Zvvs/ntOPv8Thxn71jRPxcbGxz5XsUea/NHzeF7d+T1J7IvNpt09ueXy+dl/3Hldj9t9cXWsSLfkzj8mdruV7YLZ+vN5cCfurPPZ/Mtwum3S3F/G87+qTvyVi3YeEJbb4Fi991G4i+CILS10SPRbAaX6emJ6NB8uuGxTvbyBSfITF98OjmzeJy0814mVh05z/jYbG1aOS9b+yLbcOQ8wUafYfRYJjP97cvkgvV9Ro+Nj8u2LwfOkztynsn3ANN9os9z9vlM9xn9GmD+azDeJ7exTyb2OJn1febnmbZpvc+2zxPXZ3ttOnuezOQ8Wz93s9+Xje9dfJvmfREsHme+L/v3Z32fyXmmu6yelxM/B2b27MbBmEP7jC4iGHNyX648n8zicebHOrTPuE3zYNbkglpntk8nbp+Ow3kOPLcgaKU/t/k+J/si+jzzfuoEG/t0lo/Lts+RNsU9n2B+Bej083H+Hhx4bkErWD4OAIz2CTb2QWvWpvGxWvPvx6jNbPuM2jHbZ7NNm/3U2dhn/Xu3/XMR12b2l7jRtZ75PqMA0qHzdDbOs9Gmzsp5xu1l22cW5Nr+c3b8ue312dbPQWf0czffpzX6Hem0pvt0YvfZeD6tA30R+3wOtSny+bROfu+DhAMFwAkNiyWEEEIIIYQQIhkFl4QQQgghhBBCJKPgkhBCCCGEEEKIZBRcEkIIIYQQQgiRjIJLQgghhBBCCCGSUXBJCCGEEEIIIUQyCi4JIYQQQgghhEhGwSUhhBBCCCGEEMkouCSEEEIIIYQQIhkFl4QQQgghhBBCJKPgkhBCCCGEEEKIZBRcEkIIIYQQQgiRjIJLQgghhBBCCCGSUXBJCCGEEEIIIUQyCi4JIYQQQgghhEjGBEGwvpOxvQAK5F53CMkRBQDEuboThHBAr2XiLei1TLwBvY6Jt/AVBKEaj4ZsBpeEeAPG2AlBEOq6uh+ESEWvZeIt6LVMvAG9jom34PlapmGxhBBCCCGEEEIko+CSEEIIIYQQQohkFFySvGC5qztACCf0Wibegl7LxBvQ65h4C26vZZpzSQghhBBCCCFEMspcEkIIIYQQQgiRjIJL4tEYYyUYYwcZYxcZY+cZY2OytudnjO1jjF3N+j/U6JyPGWPXGGOXGWNtXNd7QrJjjMkZYycZYzuzHtNrmXgcxlgIY+xHxtilrPfnhvRaJp6GMfZ+1rXFOcbYBsaYL72OiSdgjK1ijD1mjJ0z2ubwa5cxFsEYO5u173PGGLP33BRcEk+nAfChIAivAGgAYCRjrAqAjwDsFwShAoD9WY+Rte9/AKoCaAvgK8aY3CU9J8SyMQAuGj2m1zLxRIsB7BUEoTKAmsh8TdNrmXgMxlgxAKMB1M1a/0+OzNcpvY6JJ/gWma9DY868dr8GMBRAhax/5m1mQ8El8WiCIDwQBOHfrK8TkXkBUwxAFwBrsg5bA+CNrK+7ANgoCEK6IAg3AVwD8GqudpoQKxhjxQF0APCN0WZ6LROPwhjLB6ApgJUAIAhChiAIL0CvZeJ5FAD8GGMKAP4A7oNex8QDCIJwBMAzs80OvXYZY0UA5BME4U8hs0jPWqNzrKLgkngNxlhpALUBHAdQWBCEB0BmAAqgUNZhxQDcMTrtbtY2QtzBIgDRAHRG2+i1TDxNWQBPAKzOGuL9DWMsAPRaJh5EEIR7AOYB+A/AAwDxgiD8CnodE8/l6Gu3WNbX5tttouCSeAXGWCCALQDGCoKQYOtQC9uoZDJxOcZYRwCPBUGIFXuKhW30WibuQAGgDoCvBUGoDSAZWcOvrKDXMnE7WfPRugAoA6AogADG2Nu2TrGwjV7HxBNYe+069Zqm4JJ4PMaYEpmB5XpBEH7K2vwoK52PrP8fZ22/C6CE0enFkTnMhRBXiwTQmTF2C8BGAC0ZY+tAr2Xiee4CuCsIwvGsxz8iM9ik1zLxJK0B3BQE4YkgCGoAPwFoBHodE8/l6Gv3btbX5tttouCSeLSsqlUrAVwUBGGB0a7tAPpnfd0fwM9G2//HGPNhjJVB5uTkv3Orv4RYIwjCx4IgFBcEoTQyJ9YfEAThbdBrmXgYQRAeArjDGKuUtakVgAug1zLxLP8BaMAY88+61miFzLoO9Domnsqh127W0NlExliDrL+BfkbnWKXg329CclUkgL4AzjLGTmVtmwBgNoBNjLHByPyA6AEAgiCcZ4xtQuaFjgbASEEQtLnea0LEo9cy8UTvAVjPGFMBuAFgIDJvaNNrmXgEQRCOM8Z+BPAvMl+XJwEsBxAIeh0TN8cY2wCgOYACjLG7AKbAueuJd5FZedYPwJ6sf7afO7P4DyGEEEIIIYQQ4jwaFksIIYQQQgghRDIKLgkhhBBCCCGESEbBJSGEEEIIIYQQySi4JIQQQgghhBAiGQWXhBBCCCGEEEIko+CSEEIIIYQQQohkFFwSQgghEjDGxjLG+uXSczVnjDUyejyKMTYwN56bEEIIsYfWuSSEEOKxGGMKQRA01h7nxvMjc5H1OrnxvIyxqQCSBEGYl/XYH8AxQRBq5/RzE0IIIfZQ5pIQQgh3jLEPGGPnsv6NNdrejzF2hjF2mjH2Xda2woyxrVnbTjPGGjHGSjPGzhmdNy4rsAJj7BBjbBZj7DCAMRYeRzDGDjPGYhljvzDGihidN4cx9jdj7ApjrEnWdjljbB5j7GxW397L2m6xHTMtAfyrDywZY+UZY79lfR//MsbKsUxzs34WZxljPbOObc4Y22n0PS5hjA3I+voWY2xaVhtnGWOVGWOlAQwH8D5j7BRjrIkgCCkAbjHGXuXyiyOEEEIkULi6A4QQQrwLYywCwEAA9QEwAMezAr8MABMBRAqCEMcYy591yucADguC0JUxJgcQCCDUztOECILQLOv5OukfM8aUAA4D6CIIwpOsQG4mgEFZ5ykEQXiVMdYewBQArQEMBVAGQG1BEDSMsfxZ7Xxhox29SACxRo/XA5gtCMJWxpgvMm/idgNQC0BNAAUA/MMYO2L/J4k4QRDqMMZGABgnCMIQxthSGGUus5wA0ATA3yLaJIQQQnIMBZeEEEJ4awxgqyAIyQDAGPsJmcGPAOBHQRDiAEAQhGdZx7cE0C9rmxZAPGPMXnD5g5XHlQBUA7CPMQYAcgAPjI77Kev/WACls75uDWCpPvsoCMIzxlg1O+3oFQFwMev7DAJQTBCErVntpGVtbwxgQ9b39igr0K4HIMHO92jc1242jnsMoLKdtgghhJAcR8ElIYQQ3piN7WIn+mtgOnXD12x/spXHDMB5QRAaWmk3Pet/LV5+Blrql7129FKN+mbr+7bE3vdoqa+W+Gb1gxBCCHEpmnNJCCGEtyMA3mCM+TPGAgB0BfA7gP0A3mKMhQGA0bDY/QDezdomZ4zlA/AIQCHGWBhjzAdAR5HPfRlAQcZYw6z2lIyxqnbO+RXA8KziPPp+iW3nIoDyACAIQgKAu4yxN7LO8ckquHMEQM+s760ggKbIHMJ6G0CVrOOCAbQS8f0lAggy21YRwDkLxxJCCCG5ioJLQgghXAmC8C+Ab5EZQB0H8I0gCCcFQTiPzHmLhxljpwEsyDplDIAWjLGzyBwCWlUQBDWA6Vnn7wRwSeRzZwB4E8CcrOc4BaCRzZOAbwD8B+BM1jm9HWhnDzKDRb2+AEYzxs4A+ANAOICtAM4AOA3gAIBoQRAeCoJwB8CmrH3rAZwU8S3uANBVX9Ana1skgN9EnEsIIYTkKFqKhBB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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import geoplot\n", + "import geoplot.crs as gcrs\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "norm = mpl.colors.Normalize(vmin=1, vmax=1000)\n", + "\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-90)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "\n", + "continental_usa = gpd.read_file('./data/cb_2018_us_state_500k.shp')\n", + "\n", + "fig, ax = plt.subplots(figsize=(16,8), facecolor=None, subplot_kw={'projection':projection})\n", + "\n", + "geoplot.polyplot(\n", + " world,\n", + " facecolor='lightgray',\n", + " edgecolor='black',\n", + " projection=projection,\n", + " ax=ax,\n", + " zorder=1,\n", + ")\n", + "\n", + "geoplot.polyplot(\n", + " continental_usa,\n", + " facecolor='lightgray',\n", + " edgecolor='black',\n", + " projection=projection,\n", + " ax=ax,\n", + " zorder=2,\n", + ")\n", + "\n", + "cax = fig.add_axes([0.125, 0.08, 0.775, 0.03])\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax,\n", + " cmap='Spectral_r',\n", + " legend=True,\n", + " legend_kwargs={'orientation': 'horizontal',\n", + " 'cax':cax,\n", + " 'label':\"occurrence (count)\",\n", + " },\n", + " norm=norm, \n", + " zorder=3,\n", + " )\n", + "\n", + "# ax.set_global(); \n", + "\n", + "# order = [0,2,1,3]\n", + "# pull extent from existing data\n", + "# extent = [gdf_dist1.total_bounds[i] for i in order]\n", + "\n", + "# or define your own as a list [xmin, xmax, ymin, ymax]\n", + "extent = [-110, -60, 14, 30]\n", + "\n", + "ax.set_extent(extent)\n", + "\n", + "ax.add_wms(wms='https://gis.unep-wcmc.org/arcgis/services/marine/WCMC_008_CoralReefs_WMS/MapServer/WMSServer?request=GetCapabilities&service=WMS',\n", + " layers=['0','1'],\n", + " zorder=5,\n", + " )\n", + "\n", + "def identity_scale(minval, maxval):\n", + " def scalar(val):\n", + " return 0.5\n", + " return scalar\n", + "\n", + "geoplot.pointplot(\n", + " gdf,\n", + " scale=gdf.index,\n", + " scale_func=identity_scale,\n", + " color='black',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " zorder=10,\n", + " ax=ax,\n", + ")\n", + "\n", + "ax.set_extent(extent)\n", + "\n", + "ax.outline_patch.set_visible(True)\n", + "\n", + "# ax.text(-82.49747 28.62844, 'Florida', \n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )\n", + "\n", + "# ax.text(-66.46502, 18.22203, 'Puerto Rico',\n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )\n", + "\n", + "# ax.text(-64.80205 17.96902, 'United States Virgin Islands',\n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )" + ] + }, + { + "cell_type": "markdown", + "id": "60d056f2", + "metadata": {}, + "source": [ + "## 7C\n", + "\n", + "Focus the extent of the map on the U.S. Pacific Islands" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "85e992bb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\MATHEW~1.BID\\AppData\\Local\\Temp\\11/ipykernel_17416/562432318.py:71: DeprecationWarning: The outline_patch property is deprecated. Use GeoAxes.spines['geo'] or the default Axes properties instead.\n", + " ax.outline_patch.set_visible(True)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:228: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(multi_line_string) > 1:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:239: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " line_strings = list(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:239: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " line_strings = list(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:280: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " for line in multi_line_string:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:347: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " if len(p_mline) > 0:\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:385: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " line_strings.extend(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\crs.py:385: ShapelyDeprecationWarning: __len__ for multi-part geometries is deprecated and will be removed in Shapely 2.0. Check the length of the `geoms` property instead to get the number of parts of a multi-part geometry.\n", + " line_strings.extend(multi_line_string)\n", + "C:\\Users\\Mathew.Biddle\\programs\\Anaconda3\\envs\\sandbox\\lib\\site-packages\\cartopy\\io\\ogc_clients.py:165: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n", + " for poly in polys:\n" + ] + }, + { + "data": { + "image/png": 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pU6eqZ8+emjhxog4//HBJVdVlR4wYoZ07d2rixImaPHmyVq5cqQ8//DAk8zYBAAAAwIpQBpdxvxTJwoULtWrVKi1YsMDWUh9WnH/++frtt990zjnn6P3333dnFFevXq2srKyAx1u8eLGeeOIJzZkzRwMHDvS6zzAMTZs2Tf369dPVV1+twsJCff755wSWAAAAAOJW3Fd+GTBggPbs2RPywNLl5ptvVnJysm655Rb3tkWLFumwww7z+5jKyko99NBDeuihh2oFli4ZGRl67bXX1Lx5c73//vtemVEAAAAAiDdxn7ns06eP/vjjDxUWFio7Ozvk+09KSlLv3r21adMm97bPP/9cvXv39vuYN954Q02aNNEFF1wQcN8HHnigFi5cGLK+AgAAAEC0xH3mMiUlRTk5OVq+fHlY9r979249//zzGj9+vHvbokWL1L17d5/ti4qK9MQTT+iRRx6RYRhh6RMAAAAAxJq4Dy4l6bjjjtPSpUvDsu/Zs2fr9NNPV48ePdzbzjrrLOXm5urDDz+s1X7WrFk69thj1a9fv7D0BwAAAABiUdwPi5WkY489VnfeeWfI97tz50699NJL+uabb7y2P/zwwxo6dKiuvPJKLVy4ULfddptat26tzZs368UXX9S3334b8r4AAAAAQCxLiMxlv379tHLlSpWVlYV0v88995zOO+88HXTQQbXuO/744/X9998rJydH559/vubOnavHH39cV155pTp16hTSfgAAAABArEuIzGWTJk3UpUsXrVq1KmAVVzu2bt2qV155JeBczvT0dE2cOFEXX3yxrrzySq1du1YzZswIyfEBAAAAIJ4kROZSqhoa+95778k0zZDsb/r06br00kvVoUOHoG179eqlL7/8UqtWrQpLxVoAAAAAiHUJE1zefPPNWrFiha6//npt3ry5Xvv6888/9eabb9qax5mUlKTWrVvX67gAAAAAEK8SJrjs3LmzFi9erOOOO04XXnihFi5cWOcs5jPPPKMrr7xS++23X4h7CQAAAACJyQgUgOXk5JgFBQUR7E5oFBQU6PLLL9cBBxygO++8U82bN7f82D/++EOXXHKJfvrpJ7Vo0SKMvQQAAACA6DIMY4lpmjmh2FfCZC495eTkaOnSperRo4fOP/98VVZWWn7stGnTdN111xFYAgAAAIANCRlcSlWVXHNycnTQQQcpKSnJ0mN+/fVXffrpp7rlllvC3DsAAAAASCwJG1xK0pQpU3ThhRdabv/UU0/plltuUdOmTcPXKQAAAABIQAmxzqUv33zzjTZt2qQTTjjBUvs1a9ZoyZIlmjt3bng7BgAAAAAJKGEzl48++qjOP/98y0Nin3zySY0dO1aNGjUKc88AAAAAIPEkZOZy8+bNevPNN/Xmm29aav/999/rhx9+sNweAAAAAOAtITOXTz/9tE4++WTLcyenTp2qcePGKT09PbwdAwAAAIAElXDBZXl5uZ588kldfPHFltovWbJEv/32m6688sow9wwAAAAAElfCBZevvPKK2rdvr27dugVta5qmnnjiCU2YMEGpqakR6B0AAAAAJKaECy6nTJmiiy66yFLbr776Sjt27NDll18e5l4BAAAAQGJLqOBy2bJl+vXXXzVo0KCgbV1Zy7vvvlvJyQlZ1wgAAAAAIiahgkvX8iNWgsWXX35Z5eXluvDCCyPQMwAAAABIbAmVslu7dq2OOeaYgG327Nmj++67Tz/88IPmz58vhyOh4msAAAAAiIqEiqyeeeYZPfPMM1q5cqXP+5ctW6YLLrhAbdq00bJly9SrV68I9xAAAAAAElNCBZddunTRk08+qdzcXBUWFrq3V1RUaOrUqfrHP/6hKVOmaNq0acrMzIxiTwEAAAAgsSRUcClJ559/vs455xzdddddcjqd+v3333XFFVfoxx9/1LJlyzRs2LBodxEAAAAAEo5hmqbfO3NycsyCgoIIdic0ysrKdOyxx6pZs2b65ptvdOedd+qmm25ifiUAAAAAeDAMY4lpmjmh2FdCRlupqal6+eWXlZaWpo8++ki33HILgSUAAAAAhFFCVYv11KFDBy1YsCDa3QAAAACABiHx03n5Y73/BQAAAACEXGIHl/l5kkyPfwkwAQAAACAcEju4lFH9I49/AQAAAAChlrBzLiVJuZOq/s0fu+93AAAAAEDIJXjmUtVDYgEAAAAA4ZTYwWX+WEkGWUsAAAAACLPEDC5dhXsIKgEAAAAgIhIvuGQYLAAAAABEXOIFlzWHwZK9BAAAAICwS7zgkmASAAAAACIu/oJL13xK178AAAAAgKiLr+CSwBIAAAAAYlJytDtgC0NeAQAAACAmxV/mkqwlAAAAAMSc2M9cupcWMchcAgAAAECMiu3MJVlKAAAAAIgLsR1cujOVZC0BAAAAIJbFdnAJAAAAAIgLsR1c5o8VWUsAAAAAiH2xXdCHoBIAAAAA4kLsZS7z8yjkAwAAAABxJraCy/w8SUa0ewEAAAAAsCnGhsUyvxIAAAAA4lFsZS4JLAEAAAAgLkU9c1leXqnFi3+31LZv3/2VmZka5h4BAIB49MfbX6ts596g7RypyXKWVQRt1+iA1moz4NBQdA0AGoSoB5fr1+/UY49/GbSdYUgzpg+PQI8AAEA8WvqvWdq6eHXQdm2O7a2/PlsRtF2Hs/qpzev3hqJrANAgRH1Y7K/rdlhqt99+TZSenhLm3gAAgHiV0jjDWkOLtQPLdhXVvTMA0ABFPbhcZzG47NixWZh7AgAA4lmy1eDSNC01Kye4BABboh5c/vqrteDywE4ElwAAwD+rmUvTaTW4DD5/EwCwT1TnXFZUOLV+fe3gcs7hSyVJTlO6ZGlfSVIngksAABBAcqN0S+3MSqeldgyLBQB7opq53Lhxl8rLvT/gXYGlkZev7HGT3ds7dmwaya4BAIA4YzVz6Swvt9SOYbEAYE9UM5eu+ZaugLKmPeUV++77zzLWwQQAAH75Cy5Hmx+5f59uDFJlafBlSCTJWVauipIyJaezDBoAWBHV4PLXX7f7DSyfP/dkPb2lT4R7BAAA4pXVgj6VpWWW91m+ay/BJQBYFNXgcuTm/7p/d5qSw9j3+5upo/XJWb4DTwAAgJqszrmsLPYdXNbMcEpVQ2MzWlP3AQCsiNqcS6dHpTbPwj2eLlnaV05TMiWGxAIAgID8DYudbgxy/0hSRVFJrTaj7jvc52PLqBgLAJZFLbj886/d+zph+K4QK1X9/tfld0W8fwAAIL5YHRZbsae41rbnbv/WZ1uK+gCAdVELLl3FfDz5ymBmZCSrdevGkeoWAACIU5arxZZVyEiqfQo03Rgk5/23ujOcEsElANgRtTmXFRVOmaZkVM+zNE3pAfMMHXaYd7u2+zWRwzUZEwAAwI/Mdi3V7vSjLLVNSktRZWntJUne/1Re+0hpYi1gLfpzuxq1beG+vX7hVz7bGQ5D7Qdb6yMAxBvDNE2/d+bk5JgFBQX295qfJ8nwP08yf+y++/LHVv3LnEoAABCnDKP2hXDPDKinkWXvyZGcFO4uAYAlhmEsMU0zJxT7ClPmMkCm0RV4uhBUAgCABqSscI/SW2RHuxsAEHLhmXOZO8l30JifV/2LuS9jCQAAkGDmXnyG3/vKdlKBFkBiilpBHwAAgES1Z07t5U5cynbuiWBPACByIlzQx1DVqpUB5mMCAADEmdLCPXqh6dmW2hJcAkhUkc1c5k4SgSUAAEg0KY0z9pXAD4LgEkCiivywWAJLAACQYAyHQ6lZmZbaElwCSFSRCS4p3gMAABJcSlYjS+0ILgEkqvDNuXQHlNVzLAEAABJYSnYj6ffg7agWCyBRhS+4dA1/zR/LUFgAAJDwUrPJXAJo2Oo/LDY/r/awV89tBJYAAKABsBxcFhJcAkhMrHMJAAAQAmQuATR0QYbFOmWauwO2qFq50tT6X3e4tx0gSTW2SVUVug/o1KxOHQUAAIhl2d0PULPenYO2y2ybLbN0s6V97vxlj8xyM2i79DbNlLlfc0v7BIBwMUzT/wdWTk53c/E3jwfcgePB92RKGvFlb0nS15/eoLYHjdAB7XJqtW3TtokefGJovToMAAAQz8zSzdIfMyy1XXDOD9rxffAqQYfmXqgjJ11d364BaIAMw1himmbt4K0OggyLdQZ+cHVg+UjFSZKkcZ0/0k/bdqjgu9k+23fo2LQOXQQAAEggjjTLTVOzMyy1K9vBUFsA0VfnarGOB9+TVDUs9ubkD6VjJKmlvvjbJZry+8k+H9PhgKZ1PRwAAEBisBNcZqVbale6Y1ddewMAIRM0uDQefE/mrafW3p6X7/79jVHn6qxDDpLTlJ7883SlpPjeVwfmWwIAgIbOkWq5aWq2tUCUzCWAWBBwWOziC6rmRxrVWUp/+rZrbelgB3QkuAQAAA2bYTgsB5ipWdbalW4PXIARACIhYObyqLkLtPibqQF3cO6hB6ttVhM5TWnkV739tktNS1KrNo3r1ksAAIBE4kiTnGVBm6VmWZvBVLaD4BJA9AX8xHJlLj05amQxXx5xjrtSbCAdDmgmh8Ow2T0AAIAE5EiTFDwgTM22FlySuQQQC+pc0Gf2uSerUWa6Jmw9TtLOoO07dGpa10MBAAAkFoe1Qj2pTaydqpXvLpKzvEKOlDqf2gFAvQX8BHIYhuRnvuWl/frKlPTGEmtXyphvCQAAUM1ixdjUJtZHfZXt3KP0Vk3r2CEAqL+ABX2m/u9LGXn5Wr9+fa37TEkbLz5DZWWVlg7UnjUuAQAAqlgMLtOaBFmS3EMp8y4BRFnAT6wxb30uSer4+H993r9+nfUPPNa4BAAAqGY5cyndYH5Ua/sVk47QqPsO99rGvEsA0RYwOvx1zAUyJFU635fpsd2UZN56qn5fZy1r2bxFpho3sb5gMAAAQEKzGFy2HHyr9kga7RFgXjHpCEmS4TC8AkwqxgKItoDB5fCvlqnC+aEkh8xbB1cFlZLMWwdLcmjThnKlpDiC/nTq3Dy8zyJ/bHj3DwAAEEJOR7pMJQX8aXH4eK/HONJS5EhLqbUv13armUvTNGU6Kyz9VJSUqqKkLOiPs7wiJH8XAPEtSEmxJnIYg/bdzK363TW1/MZYiOny87SvRwAAALHvtd/aadIHfQO2afR/z2jHw5e7bztLy322c20v3bHH2sHLtkrrpllq+t6Vf+ivRT8GbXfghSfohJfusnZ8AAnL+qTJWJSfF+0eAAAA2NY4LfiSIW3btvW53XSa7p/nbv/Wvd3ysNgka8ugSFJa8wxL7Uq27rK8TwCJK84XQ6rOWOZOim43AAAAbGiUau0U7Mj8D3Tz48+qZP1f7m2ugLJmQZ+ynRYzl46qgNHRfZx7U/GKCUrz0ae0ptbmhpZuLbR2bAAJLb4zl7mTCCwBAEDcsZK5dEnKyvS53TNrKUllFofFGo5kyfA+fmpKks+2aU1TLe2zxF9wSV0MoEGJ7+ASAAAgDjVK8x3M+W5sbWhq6U4fw2Lz86p/agR5SRlyrr5HD952mvZ8e4cMw3f9irTs2gWEfB57a6FM0/TemJ8nySTABBoQgksAAIAIa2xxWKwkmY19Zy5rspq5lCQ5quZd3jLqWGVm+t9/WlPvILjmUFyXytJyVRSVWD8+gIQU53MuAQAA4o+dYbGVjawV4PE959KQ5CujKOns7KD7TMveF1yONj/S6Nuq1ttMklR+/61eQ3NLt+5SiivLStFFoEEicwkAABBhmTYylxWZFofF+qoWmztJXku22Qz60vzEn5U+tvmddwmgwSBzCQAAEGFJDkOZKUkqKvcVpnkrS0+TlRmafofF+ih+aEgyXy8Mmr1Ma2LhwNW8K8Z6BLQUXwQaDIJLAACAKGiclmwpuCzNSJeVWZflu4vkrKiUIzlQKFoV9JkyrQ2LzXK6f59uDNJo8yO/bb0ylwSUQINEcAkAABAFjVKtVYwtSUuzFFxKUlnhHqW3CBA0uoK+bV9IW/8XdH9pTbyD3+nGIPfvNZdCYVgsAOZcAgAAREEji0V99qZaW2tSslExNslakaCkVCm5scU5n1t3WTs2gIRFcAkAABAFVivG7kmxHlz6LOrji8NawChJaS0aWzv2NoJLoKEzai146yEnJ8csKCiIYHcAAAAahr92lViac5lcVqYmO60Fbo0OaL1vOZAATGepVG4tEN21vkhmhf/zRZfU7EbK3L+lpX0CiB2GYSwxTTMnFPtiziUAAEAUtMmyNjRVaiS1bRbSYxuONCktzVLb7C4hPTSABMawWAAAAABAvRFcAgAAAADqjeASAAAA8Sl/bLR7AMADwSUAAAAAoN7iL7jMz+MqFQAAAPbh3BCICfEXXMqIdgcAAAAQC3InVSUeZBJgAjEg/oLL3ElVPwDiC1/6AAAACS3+gksAcYqrygCAcOJ7Bog2gksAEWIw6gAAEAaeU6YIMIFoIrgEEBkElgCAcMidpKoA0xVkEmAC0UJwCQAAgPjmrslB4UcgmpKj3QEAAAAgFJYV91Sf9O8lmdIDeVr0Uxuf7Zr1OlCH3HCupX2+9tNqbS7aG7Td/o2b6KyDutrpblB/bdqtha98b6ntyWd21wGdmoX0+IBdBJcAAABICJv+t0xL/7e81vbR5ke1tpk3mJb2uWb7Ni3b/GfQdgdkZYc8uDRNU5+8/7Oltl26tya4RNQxLBYAAAAJIb1V05DvMzstzVK7nSUlIT9202YZltvu2F4U8uMDdhFcAgAAICGkt8y23NYwrM3PzE5Lt9Rud1mpKp1Oy8e3Ij0jRekZKZba7thGcInoI7gEAABAQvCXuexYj31azVyaknaVldbjSL41a24te0nmErGA4BIAAAAJIb2V78zleGNQrW3OB3It7dOVudy4ZKnmnD1cc84e7rdtYWnog8umFoPLnduLQ35swC6CSwAAACSEQHMupxuD5Lz/VkmS8/5btfWE0Zb26cpcrv18UdC2O0vDMO+yeaaldgyLRSygWiwAAAASgr/Mpctzt3+r6cYgPXf7tzr5jfMs7dOVuRx44xjpxjEB2xaGI7i0WNSnsLBElZVOJSWRO0L08OoDAABAQrBTLbZk805L7bJTrc25lKSdJdEbFms6TRXuYGgsoovgEgAAAAkhWObSU/HmHZbaNU5NlcNiZdlwDIttZnFYrCTtYN4loozgEgAAAAkhrYX14NJq5tJhGMqymL2M5rBYiYqxiD7mXAIAACAhOJKTlNa8iUq37w7atmTLTsv7zU5Ls5SVDFnmMj+v+hdDT/7hVO+KJVqRfEXQh1HUB9FGcAkAAICEkd6qqaXgsthi5lJyFfUpDNqusCQEwaU7sJQkU/958hE5TVM5vbupc4f+AR9K5hLRRnAJAACAhNHxvOO068ffg7Zr0nl/y/vs23o/ZSQHP21Ot9AmOEOS6b71++1/08Wf7VCb1s115OEHBHxktlmqX+d9Yu0oyUkyKyqDtktr1lj7n3yEpX0Chmmafu/MyckxCwoKItgdAAAAoIHLH7vv99xJlh+24f0CvXfa2OANJbXI6aptBT8Gbdf4wLY6/5fZlvuA+GMYxhLTNHNCsS8ylwAAAEAssRFQetp/2VzLbZPSUy21K964VaZpyrBYMRcNG9ViAQAAgHiXnydD0qj7DrfU3HBYCwMqS8tVum1XPTqGhoTgEgAAAIh79jKLZqXTctu9f2yx2xk0UASXAAAAQLzLnSTJ0MtPb7TUvLKk1PKuizZsrWOn0NAQXAIAAACJIHeSMto2t9S0bJf1ZUsILmEVwSUAAACQIDL3b2GpnZ15lAyLhVUElwAAAECCyNzPWnBZtn23HCnWFo4gcwmrWIoEAAAASBBWM5eSlN66qVfgeMWkIyRJptPUc7d/695etHFb6DqIhEZwCQAAACQIq3MuJSm1WWN3cHmN+ZFG533kdf90Y5AkhsXCOobFAgAAAAkic/+WltumNMqQJI02P1K5j/tHm1XBJsNiYRXBJQAAAJAgrA6LHW1+JEdq7UGM041B7oylS9nOPSrfWxyS/iGxMSwWQMKrqHBKMoO2M01ThsVFqB0OQ44krs8BAGJL+n7NghbqGVX2niTpzE8f1XOpp0plVdufTT5JhuGQKVPOf9+qWf9c4X5M0R9/Katrh6DHN51OmZVWe2vKMKx97xrJyZbbInoM0/R/wpWTk2MWFBREsDsAEHoT7npPP/4YfEhPqxaZ2rlxt6V9XjDicJ15bs/6dg0AgJAyTVPa8qwkp8/7d+0uVtODb3LfrnjhcklS8qXPe7VzPnCrnO3+ct92HNlfqgj+XbprU7JeOfl9S33NGXGkHGtXW2rb9ZXpSmlpfT4prDMMY4lpmjmh2BeX3QEkvJKSCkvtUlKSLO8zNc16WwAAIsUwDMmR4ff+3zfssLQfR96DXrdN09r3XmZza9+5klRabDnFqYotVKyNBwSXABJeSanF4DLZ+kdiWjqzCgAAMcqR6feutLRkNc3K0FWXDVTlumfc210ZTL8qg08vkaSU93dp1P2HW2pbvKvUUjtJKt9MUaF4wNkRgIRnNXOZlGx9LkdaGh+fAIAYVSO4/OOPrXpy5qe6985z1bplE42+dIDyrjtNSvEeOhswwCyrkFKtHd4wDI2673CvtTJ92btlj5r7j4O9EFzGBzKXABJeaYmvAuu1JTmsfySmpjIsFgAQo2oMi+105DjdN+Vd7dmzR1lNMvTghPPVumWWlOSUHNYulv75218B73cccpcch9wlqbpAnqMqwAxk18adlo4tSeUMi40LBJcAEprT6VRpqbU5HUkOG5lLhsUCAGJVjczlw/86X+3bNlXjxo29thuGIWVkB91d+uWz1W7o3SopKfF9uOqgUqqqzf76Z7t05vT5en3VzwH3u/fPQhlBKtu6kLmMDwSXABJaSYn1YgF2SpynMiwWABCrkryDyxuuPknrl03y3Tatse/tHi4e0FFpKUlKT0/3ef/wE9p43W7WPkulq0s0bNZr+ubILQH37WgaPLiVCC7jBcElgIRmdUisJIsrXFZhziUAIGYFKOhTS3rwtjOuPVZ7Z4/ye//cqdfprpOOUfdWVUuFNG6TpvOG9pAkPbn4O402P/L7WCMzeHArUS02XhBcAkhoVor5zJk3Qi/NvVS792zTGx/fqVW/vBP0MWQuAQAxy05wmeZ/2RIvFWWSI83v3f967Aytyr1SuwoLdcS/7tWS3zdqv4x97f0FmM4Ua1WCyrduk1lpfTQSooPgEkBCsxJcmmbVl9Wuwi1yOitVWRn8MWmscwkAiFUB1rmsyUizWALWyn7PytKg6a9Kkp799gf9Wey91Mjz5motNr0LA/XoYeiQs7oEP3alUxU7Cq33FVHBpXcACc1KcHlMvxvVollHtWvbTUNPut/SfinoAwCIWbYyl3a+z1KCtij48AblnDRF+22q1FvarlM6t9fFv3bVNHOlvtUW/ahCPWWulCSZD+TqxgUfaMoXS5VpOLR44JCA+y7fvFUpLZvb6C8ijbMjAAmtpDT4nMtOBxwlqap0ulUMiwUAxCrDSJJppElmafDGNpbWMp0OS/UJvvngej1/+BcaXlYu/Vq1rZ/a6Gi10aNasa+fefnu34tMp+7a/r3+3fxQv/st37xVOqSr5f4i8jg7AhLMxo0btXHjRuXk5ES7KzGhpDh45tKlstIZvJGk5GSHkpKYVQAAiGGODKnSQnBpJxqoNC1Vv/t9U6F+yC5Sty0p2mOWa5W26yijuqJsgOu4r678Ra/qF/ft748d6nV/BRVjY54R6Ep9Tk6OWVBQEMHuANZNeWyRKiqCT+zu2ytVJxy529pOM3rKSG1bz56Fn9Np6uHHF/n8gM69aaAkKf+RzyVJ3bq21JDTu0WyezFly5a9+nWttQpzSYYhZ0XwADMpyaHDj+5Q364BABA2ZtlGyel7XUqvdpVOGdt2WNtpZoalTOcjT8zUnBff1n8nPKa3vvyfHp37nBbc/7TS02oXBDpw+PGWDv35mTfK0aaNigstBMySDr9ntJp2P8BS24bOMIwlpmmGJCtB5hJxqaysQosW/Wapba8uTaWyDdZ2nB4fQy2KS8r19Td/BGzzdUHV/Y0b25ion4BatWqkVq0aRbsbAABElJG6v7V2khTir8mbbrtPf7t5gtLT0/X3847T6Hvy/K6ReWnfHnph6Q9B9zlw4aN645gx2vJV8LaSdNClJxNcRgHBJeLSrl3WrlpJUjNra/NWcfj+4Is1e/aU+b1v+GVzvG43ymzYwSUAAIgswzC8gkl/gaUkv4Gl+UCupn25TNe8+r5725Avn5AkTTcGBe3D3t83W+0uQojgEnGpsDD4MA+XrCbWi7TES3C5t8h/cFlT40bBK7sBAADEElexnzbK0L91tP6nP/Sifrb8+L1/bAlX1xAAwSXikp3gsnGmtSItkiQjToLLvcEroLpkkrkEAABxwpWVHG1+JEn6S8V6Qz/rDQWeDlRT0QaK/0QDwSXikpVhsfPmjpJpOvXUpJct7tUhGfGR5Qs0LLamxo0ILgEAQGwyTVOLrp2sNdPe9NvGbmApkbmMFmrpR0L+2Gj3IOEU7gqeuXQ6y2SaFcr+7xfWdupIl2FYWb0p+vbstR5cZjIsFgAAxLDM/VvU2jbdGKSRqiq0mKUknaT99ZQG6uVuIyztc+8fZC6jgcxluLkCy/yxUu6k6PYlgeyyMCy2W7chKi0rkiHJfO5HaVSQSrBxMiRWsjnnkmGxAAAghmW2a+lz+/FGex2v9l7bUrIyLe2zaMNWmU6nDAe5tEgiuAw3AsqwsDLn8rC+F0uSTC0NHlhKcVPMR7I3LJbMJQAAiGW+Mpf+JKVbu2juLCtXydZCZbRuVtduoQ4ILhGXCi0uRdIo02EtsJTiK7i0MSyWzCUAAIhlmfv7zlz6Yjgc7mI/UuBlSfb+sYXgMsLIEyMu7bIw51KS9m9rI2sXR8HlXuZcAgCABOFvWKwvZqX3KgCegWZNRcy7jDiCS8Qlq0uR7NfKRnLeyKhjbyLPauYyLTVJKclJYe4NAABA3aW1yJIj1drF8IriUp/ZytHmR7UCTSrGRh7BJeKO02laWopEklq2qAqsHK2vkqP1VYEbO9Lq27WIsZq5zGQZEgAAEOMMw7A877K8cK8kyXn/rZpuDKoVaHoGmUUElxHHnEvEnbKySvXp09ZS2+b7JWlHWaX79o6y1n7bJpc1VlacJC87H9hczZoF72yL5tYqqgHhsrVgjYr/3G6pbfszjqaqHwA0UNknHCHHT8HXszRSktU4syrLmXlIB8m1itz33u2aH9FFJdt26fc3v7R0/GZ9DlLjDv7PE2ENwSXiTnp6ssbmHW+p7ZxP1+rcx3a5b5/7mP+X/OSrGqlvdr27FxHXXnlktLsAWLL83tlav2CRpbYjy96TQWwJAA3Smm5HqGB7q+ANTVMzT/9eptNU0arf3ZtdGUxX1nL7kp/kLK/Qj/9ZaOn4Rz54rQ695Xz7HYcXgksktMLq4aPHjw3+wZJN4Rsg5JwVlcEbVTOSiCwBoKFqamFEliTNHPh9wPu9gszlgavJeiraQPGfUOCbHAmtsMbcxJ8+e0FlZb7nK2azZAcQcmaFM3gjSTIMGYYRvB0AICFZDS4lyTRNPXf7t5baBqom66loI8FlKJC5RELzDC4/mXSmJGnjohd9ZjKzCC6BkLOauSRrCQANW3Zza8Fl3sJP1CQ1Re0V2kKMe1m2JCT4NkdCKywqt9QuMy1ZKcm8HYBQMyutBZcOgksAaNCsZi6/3N1XPfcLXlnW6nBYF4bFhgaZSyS0nXv3LVkSaN5lVibzLYFwMC1nLlmPFQAaMqvBZecOAzTs0BUy7lPQobHTjUHK6Lq/in/cGHS/RRu3yXQ6qVpeT/z1kNAK91rLXGazHiQQFgyLBQBYYWfO5a1zSyy3dWSkeq196Y+zrFwlWwst7xe+8W2OhFVR6dTuYovBJfMtgbDwV9Bn1H2He90muASAhq1xVrqSkqwVdmt2wMGW93vhsumW2zI0tv4YFouEtcvifEuJYbFAuPjKXI42P9Lo26quILvmxBjJDIsFgIbM4TCU1TRDO7YVBW1bnp4VcEis1QqxNRVt2KoWfbvU6bGowqViJKzCIt9LjvjCsFggPKwOi6WgDwDA6tDYbWX2L0haKfBDxdj6I3OJhFVzjctAsslcAmHhq6DPdGNQravKDIsFAGRbDC73lO/LTrqCxl/MnbpX36qlvBMGrxx6hXau/M3SfhkWW38El0hYO+0El2QugbDwl7mseQWZarEAgGYW17qUsW9u5mjzI003BuleVQ2T3aoyr++Y0u17LB9/74YtltvCNy4VI2HZyVxmUdAHCAvrS5HwdQQADZ3VzGVNnqNhal68LN68w/J+yFzWn2Gapt87c3JyzIKCggh2BwidwqKftat4naW2LZscpozUluHtENAA7d2wRWal74qxnhzJScrcn/cgADRkxUVlKrK4jFzL1o19bn9p//NrbTv59X8rvVXToPt0pKYoc7/mlo6fSAzDWGKaZk4o9sWwWCSsRumlSk8r9XnfRx8u0aCTjnDfTnEw5xIIh0btWkW7CwCAOJGRmaoMi6PJvrrxca2a8kqtOfzFm7bVamskJanxAW1C0kcERnCJhGXK95Wv9OSzJEmnDu6j19+8V5JkiGGxAAAA8SKjbVWG0UoV2OJN26TDrK+NibpjkgsSlxl4zuV77yz3uEXmEgAAIF5k2Bi+WrRpexh7Ak8El0hY/jKXRxx5oCTpX/deXr3FIYlKlQAAAPEis20Ly22LCS4jhmGxSFimfGcuv/jysRpbUmR4lLQGAABAbMvYr5nltkUbqQIbKWQukcCsLUViMCQWAAAgrtgaFvsnmctIIbhEQjJNp6QKi60p5gMAABBP0ltmW14j2VcFWYQHwSUSlLU1kiQylwAAAPHGcDiU0cba0FjmXEYOwSUSkr/5lj4ZZC4BAADiTYbFoj5Fm7bLNM0w9wYSwSUSVuDMZXryWe71LslcAgAAxB+rRX2cZeUq3b4rzL2BRHCJBBUocznujv/U2ELmEgAAIN5k7sdyJLGG4BKJyfQfXD74wAKv22QuAQAA4o+tirEU9YkI1rlEQlq3zVRxue+rWUnpUmVJ1e8//dVCLRuna7+sCHYOAAAA9bb/yYerfE+xpbZpLRLzZG/JV+u1ZfMeS21PPK2r0tLCG/4RXCIhLVxZrlmLi3zed9i/PnT/Pmp2kZ66KIXgEgAAIM7sd3wf7Xd8n2h3I6q+/fp3ff7xWktte/dtp/07ZIe1PwyLRULaVWJ9KZKsdK6xAAAAIP40a5Fpue32bXvD2JMqBJdISIUlFZbbZqUz5xIAAADxp1lzO8Gl71F9oURwiYS0q5jMJQAAABKbnczljq0El0Cd7AqSuVwy9iQtGXuSkh2GMlKSItQrAAAAIHQCBZe/b/pW8965QXuKtkiSdmwnuATqpNBi5jIrPVmGYYS5NwAAAEDoBQouU1IylZKSoSRHmqTIDItlPCASUmGQgj5HTKqqGMt8SwAAAMSrrOx0JSUZqqw0a923X8vuGnbSJPdthsUCdVBSXqnSCqeltsy3BAAAQLxyOAxlN8uw1JbMJVAHuy1Uil0y9iRJ0sB5y8LcGwAAACB8mrdopO0WspJ7dpeqrLRCqWnhCwHJXCLhBBsS66kJmUsAAADEsWYtrGUupfAX9eHMGgnHSjEf15zL7AzmXAIAACB+2VrrcmuR2rTNCltfyFwi4QRbhsRTkzAOCwAAAADCzc5al+Ged0lwiYRjZ1gsmUsAAADEMzvB5Y4wB5ekbZBwzD/36IDfdgVs83LHRRr+W3+1KrdWVRYAANTdF9c8rF9mvWep7RmfT1HLI7qGuUdA4jh6QEcd0e8AS20djvCu705wiYSze2+ZKiwEjRXlTjXJSI1AjwAAaNiS0lNVWeo9smjUfYfrudu/rdW2fNfeSHULSAiOJIdSk6LdiyoMi0XC2VMUfFjssJ/7SZIaZzIsFgCAcEtp7F3NcrT5kRy3PajR5ke12pbvLo5UtwCEGJlLJJy9e/0Hlz98/V/9vGKuJGnIVfPViOASAICwqxlcBlK+O/wLvQMIDzKXSDh7isr83ldUssfrNsElAADhl9zEesGR8l0El0C8InOJhBNoWOwRx1+pI46/0n27cSZzLgEACLeUxulet6cbg/y2JXMJxC8yl0g4gTKXnpIchtJiZfYzAAAJLMVO5pI5l0DcIrhEwtkTYM6lp8aNUmUY4S3HDAAAmHMJNBQEl0gopmlqb7G14LJRBvMtAQCIBFtzLgkugbhFcImEUlxSIafTtNSWYj4AAERGzTmXgZTvYVgsEK8ILpFQrKxx6cIalwAARIa9OZdkLoF4RXCJhGK1mI9UnbnMHxvG3gAAAMnunEsyl0C8IrhEQrFazEeS8grnSzIJMAEACLNkCvoADQLrXCKhNG1cofNObWWprfmrZMiQcieFuVcAADRsSemp6pV3kaW2aS2ywtwbAOFimKb/4ic5OTlmQUFBBLsD1FPl71LFCmttk7pJyQeHtz8AAABADDMMY4lpmjmh2BfDYpFYTOvDYmWQuAcAAABCheASCcZGcCmqxQIAAAChQnCJBFNhoy2ZSwAAACBUCC6RWGwNiyVzCQAAAIQKwSUSDMNiAQAAgGgguERiMW0Mi6WgDwAAABAyBJdIMGQuAQAAgGgguERi8TfncsonWnzLCzLSz5KRflb1xqSIdQsAAABIdIwLRILxPSz29Kdf1Du/bPDYkiwZRmS6BAAAADQAZC6ROEynagWXUz6RpBqBpcSQWAAAACC0CC6RQHwHli2bDPHafMt1R7IMCQAAABBiBJdIINXzLad8UvVzw/GSpG3lplerhx4cL0aEAwAAAKFFcImEsW35Rv334BkyTVOmaeq/B8/Qf6es9Wozp/15+u/BM/Tp1R9HqZcAAABAYiJ9g4RRtmOPijbs0HO37XBvu8b8yKtN0Ybq+5wU8wEAAABCicwlEkZZ4d5a2zwXJpluDHL/ntIkMwI9AhA1+XlS/tho9wIAgAaFzCUShq/gcroxSE7TKYfhfR0lNbtRpLoFIGrMqgAzd1K0OwIAQINA5hIJo9xHcCmpVmApSSlZBJcAAABAKJG5RMLwlbn0h8wlkOiYVw0AQKQRXCJh2AkuU7KYcwkkNIbCAgAQcQyLRcLwNyzWF4JLAAAAILQILpEwynbZGRbbOIw9AQAAABoegkskDNew2FH3HR60LZlLAAAAILQILpEwygv3arT5kRy3PajR5kcB21LQBwAAAAgtgkskjCFfPeF1+y/T/zBZMpcAAABAaBFcIiENUGu1MfxnJ1NZ5xIAAAAIKZYiQUwrq/xVpiottf3y+imqLC4L2s5ITpIjhZc+AAAAEEqcYSOmFVUUyFTwgFGSjn70OhkGC6cDAAAA0cCwWMQs0zRlqtxSW0MpBJYAAABAFBFcIoZVSjIttk0JZ0cAAAAABEFwiZhlJWtZefeXap5+mX68ZnoEegQAAADAH4JLxCzTDB5ctppYtfzI0TPflPLHhrtLAAAAAPwguETMCpS5bDZluZqnX+a9MXdSmHsEAAAAwB+CS8Qsf8Hl+5fOkJGXH+HeAAAAAAiE4BIxyzR9L0Eyq3x7rW17yr4Md3cAAAAABEBwiZjlL3N5cI92Xre3l8yWYVAtFgAAAIgmgkvELH8FfYad28P9e/sOzSVJhpIj0icAAAAAvnFGjpjlK3PZbMpyHe9x+9IRx0mSDNa5BAAAAKKK4BIxq2Zw2WzKcvfv20tme93HsFgAAAAguhgWi5jlOSy2aXVgafppS+YSAAAAiC4yl4hZ7y6Q1q1tUn1roG7W55qsgVU3H/Vue+bZKerWPaLdAyLupRlL9P2yjZbajrz2aHXt0TrMPQIAANiH4BIx65cfi7T8292SpNlHL9f2XUX6avk2paam1mp7xlm8lJH4Nv+5W3/8ttNS2/KyyvB2BgAAoAaGxSJmFRd5z7lscc8TmvfGaJ9t09MZFovE56x0Wm6blMTHOwAAiCzSPYhZJSUVkqqylpKU4nAoJa2Zz7bpGQSXSHyVlf5mHdfmSDLC2BMAAIDaCC4Rs0qKqzKXTlNyGFLJff/QiMV9fLbNyOCljMRXaStzSXAJAAAii3FTiFnF1cHliMV95DTlN7CUyFyiYbATXDocfLwDAIDI4uwDMcuVuZQCB5aGw1BqalIkugRElZ1hsWQuAQBApBFcIiZVlFeqvNxaliY9PVmGwYk0Ep+tzCUFfQAAQIRx9oGYVFxdzMeK9HTmW6JhcJK5BAAAMYzgEjHJc0hsMBnMt0QDUVnBnMuwys+T8sdGuxcAAMQtzj4Qk+wElxTzQUNR6bQTXJK5BAAAkUVwiZhUbCe4ZFgsGojKiqphsYV7Nuntz/6tktJdftsyLBYAAEQawSViUnGx9TmXDItFQ+GsLuhTuHujdu76Q3uLtvptS0GfujCk3EnR7gQAAHGLlA9iUkqKQ126trTU9oBOzcLcGyA2tOnYWJlNU3RAl5M08LiTArZNSglP5vLnwi2W2plOyfzL+n4NWStW5HA4dJDFzwbbCCwBxKif12yRaVr7nDy4Wyuq6CNqCC4Rkw45dD+Nn7hftLsBxJSW5+9Wo4oSS21TM8KTuZy07ANL7RxOQ3ufqLTUNi09SRV7rA2Fb5KVpsdnXWCpLQAkiofu/khFe8sstZ3234uVlsYpPqKDcVMAECesXrWWJEOhv2rttHN8603lsHOFnYvxABogO/Ul7BRFBEKN4BIA4oTTtFEtNgxDokyLQ1clyWErCrTeNhzPCwBiXVqGneDSet0KINTImQNAnHCaTl136GWSpJsHHKGDnr7Zb1vDCP21Q1fm8j+Ll8rIy3dvb9qpnYY/l+/V1k7m1NaqKQSXABogO8NcS0vIXCJ6yFwCQJy4ZuG37t8nf7HEHWj6Yi9zaI2/YbE7123Q04uXem0zTOvHN2xEl4SWABqi9HTrlfFLSshcInoILgEgHuTnSZJ+ufY8HZWZFLR5OCoFeg6LNR/I1ZSzjnPfTsqrmbkMbtZRy6va2uirnUAUABKFnWGxpQSXiCKCSwCIE0Zevg56ar6+nnCLe9u7M16v1c4RhiGx0r7MpbP654Y3P/Xb1hEgc7lz10Z9/P41Wrtth2YfvVxP9Fhcq82M/t/5fCyhJYCGyF9Bn9c/Gqe3Pr3baxsFfRBNBJcAEAdMj7Dq+Ceed//+6dyParUNR6VYaV+12muO6qtrjuqr9CSHUh0OLb1+hPqMOsdyHw53vqqNu/bqpWU/SKqac+kZTM4c8J0cRtW/tYJMoksADVCan2Gxlc5SVVSUem2joA+iiYI+ABAHKv9xr8qdlUq57SF9+tuf7u33vv1Irbbhqqhac87lZR/OliQ9IenIWo399+Hu0wbqnyf1U5O7pujuDxap/P5bLfchpM+teqixZEi5k0K3XwAIMX+Zy3NOzq+1rYSCPogiMpcAEAecpqmnz+qrWwYerqyUqpOME68Y7LNt2DKXtpYi8W320VXzLJOTk7V/ViO1ykyX05SuWNTL3cZpSnvLylVR6eN4oXpq7sASAGJfmo11LplziWgicwkAccCpqjUuOz91iyYGaRvuOZdW1AxwXUGlpw+uuVDXvfqBysoqvbZfsaiX3vviPu3X8hD17jbUe7/1zVz6DCpNKX8s2UsAMctOcEnmEtFEcAkAccC0E9hFaFhsQB5NawaWzur7Jn38td5a86s+X/+HpMO82hzaZYiyGreptdv6PzfX403v2wSWAGKYraVImHOJKCK4BIA4YCewC8cal5JsDIr1zlw6azxwxOI+kqRZ50p5JxytR3eeLmmPV5v9Wx/qe7/1fWquIDI/T8y1BBAvbC1FQrVYRBHBJSLCNE1Nf/xLv/eXlpVo+XefK6fviXIkJWv0mH5hy74A8Sg1KUUn7n+0pbYpjvB8tDdKTtWIrkdZamuUGar4W9VQ3k/l3e//O0Je289zGDIrnJb2m5GZarG3QXtIYAkgbnQ7pI1Gj+lnqW3r/ZqEuTeAfwSXiIiy0gp9+uEvfu/fvO1HfbH0P9q2KUvNslvryuuOiWDvgNiX4kjWIc0Ojmof0pNTdGzbg6w/oGP4+lJvBJYA4kibtk3Upi1BI2IfwSUiIljlstYtumrICfcoOTnN1tAPAAAAALGBpUgQESUWymInJ6dJktLSCC4BAACAeENwiYiws+aSnXLbAAAAAGIDwSUiwlZwSeYSAAAAiDsEl4iI0lIylwBiWP7YaPcAAIC4x1k8IqLExppLZC4BREx+XvUvLH0EAEB9kblERNjKXGakhLEnAAAAAMKB4BIRwZxLAHEvP4/hswAABEBwiYigWizQgMRlEGZa6DNDZwEACISzeESElXUuXchcAomgOljLnRTtjgThETAG62vMPxcAAKKLs/hE41mcIoZOhMhcAog4X5+H+Xnet2PocxIAgHjHsNiEZcbU0LTSEqrFAg1HLA8fjeW+AQAQ3wzTNP3emZOTYxYUFESwOw3bB0PH6Y+3vrbU9sSXJ6jj0AG173BfqfcU/Syms9Ip/680b4ZhyOHgBBCIa7EwJLbW52H0PwsBAIg1hmEsMU0zJxT7IkUUQ8oK98qsdFpqm9IoPcy9CS1HEklywC1Gh6+HVEw8L0OyfFkLAADUF2f8MaRiT7HltsmNM2pvzB+rfUO+DAUc/hUjw2WBhonMfETkThJ/awAAIofgMoaU7y7SqPsOt9Q2xVdwmTtp38mU5+8+WSm7DyAsCHoix/23TuAsMQAAMYI5lzHEMPadbE43BgVsO3ztC2rSab+6HywW5kMBAAAAiCrmXCYin4V4/POZubSDwBIAYrYIGgAA8YhhsTHCyMu31d7nnEsAQAgwbQAAgLoguIxDRpJDSWkp0e4GAIROzWCO4A4AgLjDsNgYFGy+ZUrjDK/5mQAQl2oOSa11O1pzw/l8BQCgLgguY0Thzxs0v8vlltoyJNaP/DxFZa5UQ1izEIgKMwoBJu9jAADqimGxMaJ8d5HltvUu5pOwopBt8Mq0ME8LDVB+nseP3dd/kPV4JUX2fUVgCQBAfRBcxoiKPcWW25K59MO9tieAuBB0Pd5I8AxwuUAEAEB9EFzGiHIbwSWZy1gVhqwHJ7qIeSEIDN0BpudPhMREgAsAQGJgzmWMSGvWRJ3OP95S2+Z9Dgpzb2BdGE9IXUNuo1bUBLAgd1L1RRDTfxsrr+Ga99tc+7fe3M8jiGjN7QYAIA4QXMaIVkf30In//We0uwG7OMEEAgdmIcm+R6iwT7D9uwNekyATAAAfCC6BWFMrYxOGE2sq3CLU/L2O6vz6MhQwGwoAAGIOcy6BcLJbSdPvUMBwFRqhgAlilNc8yFi9CML7BwAATwSX0cDJSMNgd85YuOaY1QxuIz2XDairmCu0E0t9AQAg9hBcRlp+nrjabVOd1s+LsmgGcH7/ViaBJeJPLC0xFHPBLgAAsaXhBZfRDFQ4sa+jOpzMRev/2ZUl9CnYRQVfSzAYNf61wupxqn9i5cQdiAcEmAAA+NWwCvoQ3MUnyxUcqwOlaPw/h+KYrufpGRi6qnBaXSZBkv+A0fA+DoC6cX/OcHEGAABPDSu4jBlc9Q4vjyqTEV0jMkTVLWv213Xb6vOo1Y6gEgAAAOHXwILLaJe25yQ/5Dyzli6e2b6I9cGokV309TqLUpaD1xviTUQvCtUBo2AAAPCpYQWX0Roy6XX8KBamSdhhXD6eU32HrXme3Praj9fryKidXeTkE6i7QO9Z1mgFACBmNazgMhZE/WTIjP2sgBXBgre6Bneej/OVFa21X05wa0nYixiIupi5aOMaBZMgn6cAAIRIw6oW6z4xaahLgfiqRhrvAhWvsfFcvaq8+qmm2iBfM0AsiZHPL3fFWC6iAADgqYFmLhvoCUFCPecg81dtB4Q15mzWZX8xk1WJthgJAJB43FMLojl3vlpCfZ4CABAahmn6/5LOyckxCwoKItid0NheUqznf1jqte3GD15z/25KmnLyMElSZnKKrup1ZOQ6h9CJteFoQYPLMF3UqCyUSlZYarp5W4pemFduqW1Wdpqu/L+j6tOzmDb3l2+0u7zEUtthnfqqRXrjMPcIlnkFmJG/WFjp3KNd5V9aausw0pWdemyYewQAQN0ZhrHENM2cUOwrITOXu8pKVPDXBr/3m5L7/lYZjSLUK4RcNAJLSwFthKsSm8VSxR+Wmu4uzNI3iwsttd2vbZP69CrmrdqxQTvKiiy1Pb1DrzD3BrZEuTibU2UqrVxnqa3D4DsGANBwJOScy7LKylrbnH7apiYlhbcziF81h8C6siUBh9razKK45nrWZz6n6e/VXVtFhfUhq8lJCfnx4Oa0cQHAYTDUN/bwfwIAQKxJyLPH0sqKWttG+hn6mpaUkMlbuNQ3cPN8rLuIhz/VGcuIF/4JEFxOWypNW6rf7nxNmrZUlZXWT8iTkhPy48GtMsCUgJoILmNQsPej671PIS4AACImISOrUh+Zy+e/+8Zn2zQylwmuHkFBoMI+Uu0lN1zFRmoVHfFTfChkw/oCZy6NvHxJkvlArnp8/LGkwyztNSkpzAGVv7VCIyTQfPOaCC5jVMDXTAMt3AYAQBQlZGqiZubSX2ApkblMeLmTageEochkuPfhkan0meU0avfBSwiWMwgwLNYVWLp+/9fbn1rebViHxcZANslpYzixIzE/KhNXfp6q3psher8DAABLEjKyKq2oPSzWHzKXcaRmptD2Y11CsPB5zeykr/1ZKfwTksyK7yAprdUltbb96+Ov1bXLXB3R94Kge00O57DYKBdkkRgWm3B8vp74fwMAIJISM7isHhb7/HffyMjL12xJn1xzoWYsWakZF5zu1TaVzGVsCBQ4hiQIsXGSaTXw9BwGa2m/NZ9HqE58fQSX05aqzM+KI23bDLS01/DPuYxwVd0abGUuCS5jm8/sJMNiAQCItISMrEqdtTOXxz/9X0nSnGU/aPgbL7m3k7mMAYGCx1DNywvXSaat/YYpmKoZJE1b6rtdtf3339/SbpPCXS3Wnf1VVIIAJ5nLxFFrnnP07PfETzIl/TWmS7S7AgBAxCXkRKLSikr3PMvK+/+hg5tnu+8rqfAu9sOcy3gRwSxExALRUM0Js56BKxx3jWYfscxS27AHl1KQ+ajhY5qmzaVIEvKjMrFE+HW03xM/qc0TP0X0mAAAxLqEjKw8C/rc/f6X+nn7vkXj/37MYdrl0ZZ1LmNBsKxQImWNXM+lRiXZ+rAxvDP7nqclSRdf8ELQtmGdcxllps0MF5lLeGrfrqs2/7lNkrRpzDSv+y6fs1Al5RV6bMyt1Vuin00FACBSEj64fPqrZZKqnujeiTfryr7HeLUlcxkDGtJyAq7nEtLhoDWCy6v7StOWynwg173p/Jnz9fLKtZKkxo2tDotN3IDKzpBYSXIk1AWORObx/xTGzw1XYClJbRtd7f59095pKior166SMm3+q1Ct22Sr1ePLpdxLw9YXAABiSUKmJkorK+WUtGbLNh3evo0ap6Zo2z9vrBVYSsy5jHmJFFh6DoEN6XBQH5nLq/tW/VSbN/I8pVSfdw85I792ex8SMnNZ/fd3VYp98+7HNWXApZoyIPDJP5nLOOF6X4X5c8PpceHG035P/KT5I4Zpd2mZBh16l/Zj2CwAoIFJwLNHqayyQiN7HamnvlyuD39er9/uuFZjjhngsy2ZS0SWGfp19wINi/UIMssm5fo9KfY1DzP81WKjoervX+ms1JQBl2rtu1+675ly3t/9PorQEp4q/nFbwPsfPPMETTz92Aj1BkBDYpqmrR8g0oxAL7ycnByzoKAggt0JoeoqozuLStV0/KNR7gziRn3Xvwy4b1fl2ygN9fU3FNerymaCDUOuqfr/16wokiOlUa27nd+O8/kwo++/w90zxCPPC0U+K9Ym+PsJQMT9POs9fTbK2udK+zOP1ilvTAxzj5AIDMNYYppmTij2lZhpO48v/KaZ6VHsCODJtRSJGd4g1h9/x4uhZRzCzvU3sFEEKUEHeCAUar6nPJfX8XU/ANSTI9X6qbuz1M+C10AYJWZwGeX18xDHwvl6yZ0UeE3PaKp5UpzI8vPsDXNlviXs4DsHQBglpaVabltJcIkoSNxL8lFaPw81hGQdx0QSw4FKQ3i/BHgtPn7riX7uieH/MwBAg2Inc0lwiWhIzMwlEKtiPUOY6AFm9d/flLlvfuUHpdLJaf4fYwS5BscoCQBAhCSlpVhuy7BYRAPBJcKMrE8tBCHRlTtJKt0urZpcdTtQYCkp6GuY/08AQIQ4bASXZC4RDQSXCC9OvBGL7BT0CZa5BAAgQpJS/QeXD5sFusXYV/CT4BLRwFkTgIbHVnBJ9h0AEBv8ZS5Hmx/pe+3SaPMj9zZnGcElIo/gEoimWJ5/mdBYigQAEH/szLkkc4lo4KwJiJb8PLnXvERkmTbW9CRzmVgiVcE6P49q2QBCzhFgWGxNFPRBNDDnEoia6qCFealREIXMZX6eJIP/72iKVKDntZ6tyf89gJDxl7mcbgyqtY3MJaKBzCUQLazFGj1RmXNJBjTq3O+3MI4Y8AosASC0bC1FUlYu085IHSAECC4BNDy2vmxD9DHJxYQYE64Ak4sIAMLHkWpv0CFFfRBpDIsF0PAkpUvZPay1TWkStm4sWrbRctsjO+9VssNaUPyHma4K01qQs19mK2Ukp1vuRzzZvnWv1v68zWtbjsfvpkwt+Wq9JKlJkzR169mm/gfNnVQjaCVrACB0HGkpanlUd8vtK0vLlZSWGsYeAd6MQOnynJwcs6CgIILdARBTmCsWNqZpasjfX7PcfkHu73KYxZba/tfZTTvL91pqO6TjyWrXKARBVQz6+vN1mvrgZ+7bM/p/J0d1zO10OiXDoSsW9ZIkdT+0jW6/59TQdyJ/rPYFmLyXANSPs7JSM1MCf1Z5LkciiaGxCMowjCWmaeYEbxkcw2IBJJY4qdLptPldb4QpA9aQBnG6AsmdRSVqctejuu2t/4X/oLmT1LD+ygDCyZGUJMPB6TtiF69OAAGQaQkX+1eSrbc3bbQ1Gljg4zSlxmmpOq9XN13Ux+LQ6PpyBZi8lwCEQLB5l74qxwKRwpxLAP7F5clwfCzxYtpNXdoKLm2Ix9gyf2yd/39d2UujQx89+lsoOxVEjL8eAcQPR0qyKkvKArZxBZjnrpkZiS4BbmQuAdjjGm4aq8NO46Qqq+3YMmzDYuMsurTxujvqy6ma0f87zej/XRg7BACRZadirFleEcaeALWRuQQiwWvtuzgeHud6Hu5/655BaujCOizWxr7jLrisVY3Vv6/7/U1PPvS5pbYhW84UAMLMkWp9rcvKMoJLRBbBJRARnLnCm9N+6tKyhK8LaPGCBgUSASQiR0qS5bZOgktEWPSHxcbq0DoglFxDNcnyoZrTbuRjsb3j4Nt0ebfzLO/WIGUHAHHFTubSWVYexp4AtUU/uJQIMNGwxHWAaXj/HtfPJbrsZ9WCP8Bx8G3u3//W8zK7B0g8ZC4BJCBbmUvmXCLCoh9cks0B4gdr9oWM7cwlBX3Cir8DgHiRZCtzSXCJyIp+cAkgvrBmX0iYTnvtDZvB5ZMrZ1vcLwAgnjhSrJdMqWRYLCKMgj4A7COwrDd71WKttXX+fL8kaVbFQSquLLW26wSOLk3GxQJIQHaWIiFziUgjcwkAUVBpI7hc+NR5XvMpg7ETVDEcFADii53MJcElIo3MJQBEgdNpqluXFpbaLnT90uoMS+0HODNVabEfjVMyLbaMPwd1baX/u76/pbZNm2eEuTcAEBq9b7tYB4881VLblkd1D3NvAG8ElwAQBaak73/baesxRlYvS+262O9OQmrTtonatG0S7W4AQEi1O+3IaHcB8IthsQAQBXamXJ55yxs252gCAABEHsElAESBnWDRYFqkNfl5rJsMAKHGZytsiHxwyQsUAGytc2kQXdpg8h0DAECURCFzyUkSANgZ5cqnJgAgeljbGtZFvqAPL04AsBVcOshcWsTfCQBCjnN32EC1WACIAlsFeoiZrOEECACAqIp+QR/mYAJogOzMuSRzCQAA4kH0g0suyQNogGytLMLHJAAAiAPRHxbLMCYADZCdYbFkLgEAQDyIgcwlADQ8TLkEAACJhuASAKLA3jqXYewIAABAiBBcAkAU2MpcEl0CAOIFxTobNCPQvJ+cnByzoKAggt0BkNDyxzLPulpFpVN7i8sttTUMQ1mNUsPcIwAA6ik/z+OGwXd+nDAMY4lpmjmh2BeZSwCRkZ8nyeRqZrXkJIeyG6dZ+iGwBADEB8+RNnznN0QElwAixBClaQAASGC5k7Tvu57MZUPEsFgAAAAAocM0mLjCsFgAAAAAsYnAssEiuAQAAAAA1BvBJQAAAACg3pKj3QEAABo8d/l+CmAAAOIXmUsAAKKFMv0AgARC5hIAgGhwZSu9Fh0HACB+kbkEAAAAANQbwSUAAFFhBG8CAEAcIbgEACAaahXuoZgPACC+hXbOZX6eAn455o/lixMAENdKSyv024ZdltomOQwd1KlZgBaGJFNkMRHL9haVacOfeyy1TUtNUsf22WHuEYBYFeKCPgG+HN2FCwgwAQDx66+tezX2ng8ttc3MSNYLT5zjv0HuJL4XEfNW/7xN9zzyuaW2Hdplacq/TwtzjwDEqtAGl34zllTCAwAkvvfn36y9uzZIStawK1609iACS8Q4w9iXPHhtxgWSpC69hqpnzqW12ppOM2L9AhB7IjTn0qjxLwAAiad477bq3yqi2g8glBw+Tt/27tnisy2hJdCwRSa4zJ0k91xMrtACABLUWZdOV1qj1jrk6L9FuytAyHhmLhtndVL7zoN01Ak3+WxL5hJo2EI85zIAgkoAQIJzJCXr9Asej3Y3gJDyiC118nkPBGxrElsCDRpLkQAAAMAvz8xlME6iS6BBI7gEACBMOM9GIjB8Tbr0h9c80KARXAIAAMAvO+UYyVwCDRvBJQAAAPyyMyzWJLgEGjSCSwAAAPjlsHG2SGwJNGwElwAAAAiAzCUAawguAQCINfl5Uv7YaPcCkCTZqudDbAk0aJFb5xIAAABxx061WAr6ICzy86p/MaTcSVHtCgIjuAQAwIasJmm68OxDLLVNTrYwQIiTJsS4Fk0zLL/m09KSwtwbNGxm1agOPitjFsElAAA2NM1K10XDeoZhz54nTXYWfwDCq3mzjDC95gEkGoJLAACiylCtlee5Kg8AiEMU9AEAIJq8AkmTQj4AUIvnaA4+J2MZwSUAAACA2OWeLsCUgVjHsFgAAGIGRX0AwCfXZyMFfWIamUsAAAAA8YHAMqYRXAIAEDOYSwQAiF8ElwAAAACAeiO4BAAAAADUGwV9AACIOiogAgDiH8ElgPCjshsQGO8PAEACCP2w2Pw8ihEA2Cc/L9o9AOIH358AgDgW2uCSL0UAtTDcDwgqP6/6QgzVYgEA8Su0w2JzJ8XO8Lf8PLEYNRADXJ8LAJDAvhzzqLZ9+5Oltn3uvFQdzjomzD0CgMgL/ZzLWAjmOJEFYkssfC4AQBjtXL1eW77+wX2773X7a+njG322LdlSGKluAUBEJeZSJJzIAgDiirHvh++wuDfa/Eh9H5ut0eZH0e4KAERUaDOXsTIkVhJf0ACAuMH3FQAgAYQuuHRVhIyVADMW+gAAABoEw9hXvGy6MShgW9M0w90dAIiKMAyLpdIdAAAAADQ0oclcso4dAADh5/6+ZeoHACD21D9zSWAJAAAAAA1eCDKXhiTT+zZXUwEAqDu/Gcqa37mIGR5zLgGgoap/5jJ3kiihDgBAKLm+V2vUMeA7NjFQ0AdAggqYuVx8wYnW9sKXHQAAoeP6Xs0fq6oA03MKChmyeOFa5zJY9VgASBQBM5cOw6j6QgtU/ZXKsAAAhEeti7fVI4S4qBtzGBULAPUdFpufJ5YeAQAgnJh6AgCIDxYL+pgy88eqaMy/3VsaPTHO6/6qQDO6X3ylpRWqKHdaa2yali8zJicbSktPqUfPAACoIwLKuJDcOEOp2Y28ts3WEJ9tHSmhWQkOCLXy3UVyVlo7l05ONuVIspiyT0mVkZxaj54hXhhmoEnl+XledzpN6bzVR+rVHt94bZMkh9drKzpB5rOPf6lPP/jZUtvuPVtr9crNltoOOLGzrr5xQH26BgAAAMS0BX2v1vblv1hqO+y+Q5W240dLbVOGXKuUAUPr0zWEkWEYS0zTzAnFvuo0LNYVULqCzfNWHynTPWwnPtip00ZRNwAAACS6gEmn2q3D1g/EL1vBpcOQ5nf/RuetPtIdWM7vXpXFLLtxoke2MjrzMMM2mZ7oEgAAAAACChhcOgMEVeetPrJqB4b0ao9vlPbo7TVKpQcJMCkCBAAAAMQOGwmVpkZaGDuCeBUwuGzxwCt+73u1xzdecy9rCzbvsir4NPPz9OSTT2rlypU2U/GhM6P/dwHvJ28JAAAAVBltfiTH2AfVaNI71h7AWj0NRsDgclveubUfUJ2p9OQ05THn0kK59OrKsktPvkgHPjFXc+fO1amnnqouXbooNzdXX331lZxO5762FrOcRrheuAyLBYDwYBRL/fE3BBAinPKivgLWwm7xwCvalneeuxKs0/SuCusq7HPe6iP14tRzlJEepLS2x7BZU6ZOPvlk3X777Ro8eLBM09SqVav00UcfaeTIkdq1a5fOPvtsPXVwtiTJyB8btAJtXWPLKxb1Cng/bzQAQMzxnIoSA8uBAWg4phuDdM59hyh1h7VVGshcNhxBC/q45la6Cvi4eFaKlWQrAnOapjpPnadnn31WgwcPllSVdezZs6euv/56zZ8/X88884waNWqkI176QM0nTlPVWpt52rNnj/8d1/OFO3PAd5o54Lugw2QBAIg90SmmByCB2Mqo2DnvJrhsKOq0FIkvdpN7L774og4++GC/93fs2FGjR4/WrFmz9MorVXM/TdNU27ZtdeaZZ+rZZ5/Vli1b6tFj60hcAgAAAJ44Q0ZtQcax7ptfWXOupedtpykVm8O8H+hVOXYfp2nq+8GXq4nDelzbqlUrmZJWnTFS7w48R5999pnmzZunm2++WbvuulampN/O/7u9ayI13g8zB+zLVjqMfbedpvSU2dHOnhFJFoZLA4hhvH/rwfWt5/mFZvK5CKDuwjUXjMRlg2G5oI/Tz2vtpCdmK2lsvibdP1FfffVVdQGe2oGlWf1jGIYcNgJLl5Wnj5AkZWVl6cwzz9TbJ/XWxx9/XLVf09QRRxyhy3fNt71faV+12G/Wb9Kzi1d43ecwpL+Zb9Zpvwiz/LFiGBiABit3UnUQyVkbACA2BF2KxGnWnm/p6aPfNkmS/v3vCer32b6lS8waPytPH+H+CYWVp49QWlqaVp4+QqvOGKl33nlHRWVl2rpmgq5p927wHXh8F7sK+tz0xkfKW/hJSPqHCHCdVLmu0BNkAgjGRgXyuOEOMAkyAdSPvWUBwzU/E/Es6LBYV1Dpb01L84FcnT1tjl6/+qJ926SQBZFWZWRkKC05ST1at9CDP/ZVk0a+27mGu5qmNEr7qsQ6TendK8/XtqJir/ZOs/rtQCW+2ERgCcCWBD3B8fws5HsKQETY+DylWmyDETC4TE9LUvcDm0nyHhbruTSJJL121UWqaekv/qu6dmufocy0JJtdDS7ZkaQHzjxBTzl8Z1klSWb13EpDOnrgvrmUT6mj/pb+phqlp1YN31VVkPyU4ywd1LWVTlszI+T9RQhxMgXAikT/rPDz/Fav+ks7thf7vK+mTp2bq+3+WaHsFYA40X7wUWreu7OltkaHFkrqsL+lto7mbevTLcSRgMFl+d5ybVxSNez1Co8s38wB38lpeq8P6VkQxzSl2R9t9rvfm4a1U2ar0AeXy065WKeccooWL75WnTv7eWPkV82fNGTo77ceV+NOj9v5eTIk/d1cKJ09Scr3uOLCleHwI1MMAHVX43tq4es/aGnBBksPHXFlDsEl0EAd9dDfot0FxLk6L0Xy+45d2lG4vk6PNcNUujglJUWnnnqq5s6dG6CV3bS8R+W93Em1ixUxHDP03H9jivUAQN3w+QkAiLyAweXmO4b7vW/Ic/P1dcFESdKiRYtk5OW7i/+cvmFgwIOGq8qxJPXq1Uvffvut/waWK+t5Fkcwa1TB9bzNF3hI+VnCBgBgF99PAIDIChhctp74cq1truGvsy8+Uy9efKZmDvhOP295SpKUdMd/ggaWUniDywMPPFBr1qwJ3Mhdvt1KG6PGD+rN38lOrcAywYfFui5QcPIHIGyqA0wL37uzj16u2Ucv1ynfP1v7Tj6nAAAWBJxzufXO8yV9V2u705R6t21da/upY2ZaOqi/NTNDoWPHjvr5559lmqaMUFSmqhncuNZW9Ll4NSyzNG+VxcABIFKcZlXBvqoK6TU/e/k8BgAEZ3vOpauQj2sIrFS1HIn5QK7ebve5pX3YW0PHniZNmqhRo0bSgxaustYla+S5tqI7s8nQI5/8/X19ZY59ZS39ZYoTIePn1XdePwBCzXtqxz+S39Kso5YHfMSIxX3kNKsvmdYKIhN8JAkAICTqXNDnikW9agWZDkOWAsxwDouVpD9vHRm4Qf5Yj5N5036g4vkF6xlsYp86BUsew49dAWii/l0T9XkBiA11/PwcsbiPPjj0St/7AwAgiIDDYq1wLUcyo/937vUvpaog09/8y3AHlxd+s04nnXSSrvXXwHOx6X298l7+wmdhmQgHkfE8BCl3ks0A0+LfNqEyfK7VVD3E4v+513uBCylAfPHxORP0IdQXiCmx+L0AAH7YylzWXNvS06iiU6p2aCF76QxjdNnz7Vnq2LGjfvjhh+CNvbJjNSrD+uRn+GKQD/2NGzdqyZIl7p+CggL3zzfffOP+Wbp0qZxOZ/B+xzrX38jWlXOLQ0O9iizFuZrPxV19OM6H/AKIHdWfM6ZZlZVEnOI7AUCcsJW5dBhVGUpfAabrQqdrKRLPALNmFjOccy4NSQ+2cchpptp7oDvTZrFvnsNqPY/uEUyVl5frgQce0MMPP6z999/fu58eV4Zdv+/evVvp6emaMGGChg8fLkc8Xqms8xegjYxYPP5d/PF8LnZef5HC0jBA/MudpAcnfixpY7R7grpIpO88AAkvYHBZlWGsCnwcQRJFMzLe91rj8vQNA/Vue98B5tJly9W9Q/96dNsGO8NJvIZyBjnJdw+t9Tz53ldNb9myZRo5cqSysrL00ksv1QoufTFNU59//rnuvfdeTZgwYV+Q6ajz1NjIsz0c1uNxDZ3n346/B4Awm330cg14/AW16ZmnzMyW7u2Mio1hfEcAiHFGoCxi6xadzdOP/ZekfetbSr6HxyYd3lYbthV5bfMMLj0Dzw1fT9PzT/5bKSkp9X4CNR369qyq4zlNld90j9LS0uq2I9sZm33Dap2m1CZ/hm666SadffbZtpdEMU1Tn332mZ5++mlVVFRowoQJOu+88+IryIwHfv+PmVfoViubyt8GiEf5Ez/W8m+9M5cpv07Uc9+uUlqSQ8OHzXJvH3XVkTr5tK6R7iIAIEoMw1himmZOKPYVJFqpCoo8A0tJennFap3X7FXNHPCdZvT/rrpT3o/0DCxr2q9tW82fP99+b21wOAylTrmrHnsw/Pz4aZM7SV8de46cpqnBHyzT3LlzNXTo0DqttWkYho477jjNnj1bY8aM0T333KNevXpp3rx5iTEnM9pcS5n4ZWHeYyIsh2IFgSSQsGZcdKaapafpw6vOj3ZXAAAJImDmUvl5Pu/sNPFppackaXXu/8mU9MUR16i8caoqqjMcJ3/yuFcYZkr64Pjr3LeTyzbrwnPP0Ouvv67GjRuH4Gns48pcuo5r5D7gei7VW+uZefEMJqr3s3fvXt1xxx2aM2eO8vLydOqpp9YpqPTHlcl86qmnVFlZqXvuuUfDhg0L6TEaFJ9rarpYmfPoWX2xAWTyvLKXDeD5Agno+xWbtH17sde2Y795yv37Z0fuq69+cJeW2r9dVsT6htj315a9mrNgpaW2GenJuvqyw8PcIwChFMrMZZ2Cy617ipTsSFLTTNeQUx8nnEGqql5++eXKzMzU9ddfb7fPAXkGl159C1VwWcPHH3+s0aNHq1evXsrNzVWzZs1Ctu+aTNPUp59+qilTpqh9+/Z6/PHH1aNHj7AdL6FYHQLrbwmamsFVQ5v34uOiCgCgYfhx7XaNvedDS22zs9L03CNnh7lHAEIplMFl0II+Dh/ZsZaNGwWvrhrkBHTixInq06ePjjrqKGVmZkraVzXVV0au5n2uf1u3bq3mzZv76LskmXLkPeDag/++1kFhYaFuvfVWLVy4UOPGjdNxxx0Xsn37YxiGjj/+ePXv319z5szRwIEDNXLkSE2YMEFZWVxlrsXSkNVAS89Iftc9rVnlNdEDrkR/fgAA/2xU+fd13gig4QgYXB4192MVXHiSagdl+6qi1nXOWYcOHTRhwgRNnTq1ao/VH1w1//W3TZJKSkqUnZ2tGTNm1OydZrbqoWnTpulLV0zg2df8PNUng7lw4UJdc8016t+/v+bPn68mTZrUaT91lZKSossvv1ynn366pkyZou7du+v+++/X5ZdfzlBZT/Ve5sNXYGlGLphsCEErACDmOW18fXIaAjRsAYfF5uTkmAUFBR4n5h6fGDFw0ltcXKxWrVrp/fffdwd4rmGxpqRWk6Zr69jR1a09gsl6BJePPvqoHnroIY0fP15HH310/Z9ECCxfvlyTJk1So0aNNHXqVPXt2zfaXYpNtgJMPxnLmveHi9dxmecIAIieH37aqjvu+9hS2xbNMvTMQ2eFuUcAQimC1WKr5U6S+wTX9RMDMjIydNRRR+mbb75xb/MMHUpLS0N6vHXr1unuu+/W008/HTOBpST16dNHs2fP1uDBg3Xqqadq9OjRWrBggf76669ody22+Hzd+rrE6iuwrFE1OFzvAZ+VbM3Er0oLAIhZNkbFkrkEGriAw2K9RCGg/OWXXzR16lR9/PHHSklJUXp6ujIyMtz/ZmRkaPv27Vq8eLEGDRokSVp5+gj1fHuWDEm7//k3j73VbzijaZr6+9//rssuu0wdOnSo/5MLMYfDofPOO08nn3yy5syZo4ceekgrVqxQdna2jj76aPXv31/HHHOMDjvssLqv/ZkQfBXnyatxX815mBHKHNYKID37Wvv1u2HDBmVmZoa1iBSABqae00aQmAIWf6yB6TlAw2Y9uKyLOnxJVVZW6u2339bjjz+ub775RkOHDtUtt9wi0zRVWlrq9VNSUqI2bdrokEMO8drHytNH1KgaW/1B5553af+Db/78+fr5559177332n5sJGVnZ+uaa66RJDmdTq1bt04rVqzQl19+qWnTpmndunXq1auXjjnmGPXv31/9+vVThw4dGs6Xgc9KrzVfH1JEl97wfJ94DkH3Od8zz927IyfPltPp1OTJk3XRRRcF/z9kDieAoBrIdwFssRNcUtAHaNiszbmsKxvLf2zZskXPPPOMnnzySTVv3lznn3++TjvtNKWnp9fp0K7spdOUR8XYutm1a5eynr5HUtVJ/crTR9Rrf9FUVFSklStXavny5fr++++1fPlylZeX66677tK1116rRo0aRbuLsSGSS43UvAhjcW6o05ReatdHd999tzp37qynn35aBxxwgLVjAEBd8XnS4Hz3w2b9M/8TS233a91IT95/Rph7BCCUIj/nss5cc9R8M01TX375pS699FJ16dJFBQUFys/P1+zZszV06NA6B5bSvgDQYah6HptHpdj8sbbmsLkCy0SQmZmpI488Uv/3f/+nRx55RG+99Zb27Nmjd999VwceeKDuu+8+7dq1K9rdjL6InjTVeI+45jgH4TCkSzcu15r/G6qFJx6qvn376pFHHlFlZWV4ugkAkshuNjy2hsXy+gAatPAOi/Vzgr537169+OKLevzxx7Vr1y4NHz5cCxcuVHZ2dkgPX6O+bTV7V1vN/DyvmW/xnLX0JSUlRU6nUw8//LB+/vlnPfPMM3rooYd03XXX6cYbb2Q+XySGkvrav99lfnx/wRuGoeeee0733HOPXnjhBc2aNUs9evQIbT8BQCJj2QB5LkXy2owLlJ2SrBMve9FnW0bFAg1beINLH4qKinTAAQeoXbt2GjNmjI455hg5HOFJoK449VL1ee+F6lvmvqE8FlVUVCjnhfe09JJTtfKMxAoqXZKTq14CZWVlOvjgg3X//fdr3bp1mj59ug466CBdc801+sc//qGWLVtGuach4F6bNcCQLs9gMtonUD6Ob1YPma35KjYkDVn9mc4afrzG707Xscceq6eeekrDhw+PRE8BAImsRuaysLxCv74zRgcOfqJWU8NBdAk0ZAGjusUXnFh7Yz2XRMjMzNRDDz2kDRs2aPfu3WELLCUpKSnJVftTTtOs/mw0vYfJ+pOfp+TJd+jbS07R96dfHrY+xoKkpCQVFRW5b3fq1El33323XnzxRf3yyy/q0qWLbrnlFv35559R7GWI+F230iW2l/0wcifJyPU/h9iQdHeTEm0ZO1o333yzxo4dWz1Mli97AEDdOH0MmilqOdBnWwr6AA1b4MjOlMwH8vTjjz/6WX+vbkaNGqUPPvhAjz/+uPLz81VeXh6S/fqy8vQRWnn6CH18xGANXPCFtQd5PE+HYejQd54PU+9iQ1JSkoqLi2ttb9++vf75z39q3rx52rx5s3r06KExY8bo999/j0IvQ8A9lzHQF1+MF6nw8T50XTzxZEhaf8PF+vTTT3Xaaadpy6hbY/t5AQBiluecy2FXzNWwK+aqZ87FvhsTWwINWsBqsW3262weP2i8ysrL9MqRP0mSRv90pHsopadLLuyjQSd0tnTQhW+v0auvr5LpdKpw1y6ZTlONGzf2OZTikO7ZOuO0/S0+ncCcTqd6vztbUvXMtVsn1V6+wceJe6LNs6zp6KOP1ksvvaTOnQP//23dulWzZs3Sq6++quHDh+uOO+7QgQce6Lf96lWbNeXBTy31oVnzDBVu2WupbWpqsh7+z7mW2iYcX1nV3EkqLi5W+uPja32nm5KuWrNdCxcu1DPPPKMzzzwzEr2kmiQAJJAl327Qk099FbTdM12+DkmVfgCRFcpqsQHnXCY5kiQjTampabpo+eHVWyurf7wVF1vPPlZWOrVrV6kkyeHIkBzSrOkXVt03KdfjWFJxcegqX3oOwTUkOfPztP3K29SiRYtabZ2m2WDWfkxOTvaZuaypZcuWuuWWW3TFFVfo+eef1xFHHKGzzjpL48aNU9euXWu1N03T/f8cTEpKknYXWmubnBy+THfM8xOsZWRkSLkPuAtQuRiSnunWXGa3y9Xhmms0ZMgQPfTQQ8rMzIxAZ03W1gSABGA6Te3ZXRa0nZGXX9We4BJosAIPi7URW1VWOi23TUryf1iHIc3p8+2+/foa6B9CvXv31vvvv++1zWmamtnqEPeQ2kRnNbh0adasmW644Qa98cYbysrK0jHHHKMLL7xQ33//vVe7pCTrLyA7rx9nmF8TlsXg3Ewj9wGfw2Qlae7cudqwYYMOO+ww1Wv9Wms9qf43tuewAgCCs7ESiZLC1w0AcSBgcBkoNDh862Oa9+LFmvdi1Zj7inoGl+df8pLOv+QlOU15ZS6dlaENJFwFfqSq+ZR/3HSpRowYoRtvvFElJSXuk/IjjzwypMeNZXaDS5fs7Gxde+21euutt9SuXTsNGjRI55xzjj777DOZpmmrWJOdNbScTtNW+7DIz1OsBk5G7gOqvHmi+7ZraHdWVpYmTpyoq6++WoMHD9bSpUvD1wmvtTpj8+8EALDG6nfuhRe9qLF3vhPm3gCIZQHP/n+/cZjf+zo1beR1u6LCenCZnOz/sJ6BpRT6zKUrG+m513nz5mn16tXq06eP2uQ/py+OOTukx4x1KSkpKikpqfPjGzVqpNGjR+vNN99Ut27dNHr0aB188MGa8dx0v4/Z8Of3ev2dW7W3aKsk35XoAjGjlb10B0mxPWQ6JSVFpoyq4d2Ser49y33f4MGDddttt+mcc87R9u3bw9cJrwATABCv7IwYaihTigD4FjC43H/yfL/3XXDEYTIfyFXlpFxJUqWNDGOyjeGS4RoC6QowV54+Qk2bNtWDDz6oUaNG6e6771azZs3CcsxYlZycXK/g0iUzM1OXXXaZXnnlFf373//Wzz//5LftJ4vytXvvn3rvf/dIsp+hDvdwaf885xHGdsEa17Ilpil1evy/Wr9+vQ59e5Z6vj1LgwcP1gknnKBLLrlETqf1C0O2xfDfBwBgja+pFv44WOcSaNACBpd79+zR3MO+9ZoD6VIzw2gnc5kUIHNZU6Cgtefbs+o1PNJzPqVhGBoyZIiOPfbYOu8vXqWmpoYkuHQxDEO9e/fWtddc7fP+iooSNcvqqMyMlho0sOrihL8vrpkDvtOM/t/V2u60MQw7tDwCyjgInAzDkJH3gO644w5dccUVVdskHfr2LM3o2Vrbt2/Xv/71L/87CMlwVk40ACCe2RktROYSaNgCRnktWraoKiltyG+Q6SrAY6cgS6BhsTUFCi7vKkzV8OHD9fPPP1veH2pLSUlRaam1Sq12+Lt6ubdom3bt2aBe3YcqO6udJPvBYtSK+sRBQOnLNddco6efflpO03QPCTckfX3+CZo2bZrefPPN8B08d1Lc/t0AIC7k54V1bruv679zDl+qF/vWnrtP5hJo2AJGeQ6HQxctP1xOc9+cOF8BpiSN/HNO1QebhQ+3QNViax7DXxBRXl6u6dOna83/DdWwnxap51v1y2I2ZPWdc+mPr3VLJSk7q50uHPasDu58ontbRXmFz7b+Ykg7w7BRZdiwYVp83Hna78GZ7hMFQ9LGWy7X6NGj9csvv9R+EEEhAMSB8AZ0vs7F/H0/e331U8wNaHACrnPp+nzwHAI7p8+3mnuYR/BXXd110Amdde1VR1k7aIDgck6fb93Z0IuWHy5/08HefPNNHXLIIdW9NGUYUq93nnfPo4R1qampKisLvn6VXTaKxaqiwqlkH1+OF3/cUelpWbW2x8xyJHGmX79++uyzz9T5tNP069/Pl1T1Dvrz1lHqfNJJ+uyzz9ShQ4fodhIAYE+YLwT6mrpyydK+PtvWylyy3jHQoAReisTHhTBXJtO9g+ohs9fsfNnyQa1Ui9033NbH1TKnU88995zuuOOOWh9Ypmnqxx9/tNwXRH5YrC+GUfs18eeWHzTv3Rv182+f1rovenMu41/Xrl311VdfeZ0sOAxp3ZgL1O6lKdq0aVMUewcAiDW25lx6fvczLQJocALnlvxMyq4ZYErVWU6LY/6TAlSLrTns1ldw+dFHH6lZs2Y68UTXsErD1QMZhqGrr75a8+fPd1fGRGCpqalRDy5lGLVG9bRsdpC6dDpBB7Q9olZzhsXWT5s2bVT09/E+r0afeOKJ2rx5cxR6BQCIRXZmHTHnEmjYLA2L9eWi5Yd7BYL7YgOzeoH56j34uGIVaM6la7+uz6bKGuNiTdPUjBkztOyy0/ZVJHMdI3+sjNxJqlo5ca/7ORxaHWAyZNa3cA2LtVswzmEYXsFOcnKq+vUe6bNt1IfF5ucp1pciCaZx48aakt5BN5T+Ianq/WEYhlaNHqLegwbpk08+UYsWLXw/OAGePwDAGta5RIMTJJaBf4GDS4ehzgf6X/Pxjl0nuX8/pHtrjdg0R5LnB5Dpc6x9o0apQfc7MetDSZKzcpd6vj1LH/YeroqKCu3/4TQtveSUqpmW+Xlad45HpvScPHWqXjRe2jdHwDAMFkMIIFyZy6Rkh/Zrm2G5vVlW6fcLbOeOndq9Z7cOOOAApaam2qpOvHFDoUqKfRcMqqlVm8Zq0iTNQsvY+LApLi7Xpg27am3v/OokmZJ+9Xx/yFTNd8KpJw2X3npEpqQPew+XJJ284mWtGHG6Lrz2Ws2bN6/2Qd0fuACAcNu0cZeKi8ottW3VupGaZKVbart9W5F27ii21NZ0OtX5wOaW2rZt28RSOyBmUYiqXgIGl8Xllbr/ntNs7K5v9X9I4CtcHdpnW9jvaTLz8zS9y2o5Ten5J9do2451evfz53Xv4IG69fijdcWiXtIXb3k96tl5l7gLwzjyHtALL7ygG2+8UZvzRtvOpDUUqampKi629gVjR3p6kkZd09Vy+0fuXq7yMn9BY4YapWdo2YovtW7DYt1w2wmW9ztj2jf6YeVfltpee/0xGnh85+ANYyCwlKTff9upf9/xrte2549ZIakqa9/51UlymtLIr3qrWfMMPdL166r3TbWZA6rWEDWr32OSNKh/VRb5v0d2qn1A9wcubyYAiISZz3yj71f8aant1WP66bgTD7LU9v131uiNV1dZanvyaV00caKd80EgjuVOIsCsh4BzLuu0skfuJO078axfdsfIfUBO03SfDL92eqEmnNJf1/br4/cx5RVOrwnkl156qRYtWqTDZr+jMz/+Xnv27KlzfxJVuIbF2hVoLq7Luj++1sa/luvTTz4L6X5d4m0uZ825LTP7rajdxqgKOKd0+1oOoyqgnDngO93c6QPduOBDOU15BZxXLOrlnlP95581Tmhc72+KNABARNgZkmpnvqO9/doo/w4kAtd5Duc6tgUJLut4ou15AlpPlTff7/79yq/66PZBxygrPd19kjyj/3fe7ctrZ766du2qr7/+Wu3bt9fFF1+sH374od79SiQpKSkxEVxa+VI8NudaXXjGVN155zg9//zzlvYbbF1VT844Cy5rBs4jv+qtsW/9T/vd/YScftbxOeHJl3THW59q6pfL9J+vV6isovaQ4SsW9dJxr3+pJUuW1N4BH7QAEDHhmu9o2ii6TpEeAFaFPnPp4i6yY62CrD81ly3xzLD4Ul5R6XN7RkaGpk2bpokTJ+pvf/ubXnrppboHzwkmLS0tNoJLGxnGO++8S7fddpsefPDBoG09g8tZRy0P2LZmAalY5+sL/6gO+6tFZpo27tojp7lvoWvX70XlFdpTVqZpw0/T5vFjdM1i32uVdevWQwUFBdY7wxASAAi52MhcElwCsCY8mUsvhtyFferyaMNQUo0A03WSXHM4nyRV+Mhcerr44ov15ZdfauHChcrNzdXu3bvr1K9EkpqaqvJya8UCwsnOl1e7du00c+ZMPf3008rLywv4WvXM7o1Y7H9ItSRVVsRbcFn7LXzOoV21avMO9Zn8nEZ+1Vsjv+otpyldvewwXbGol3oc8YCmDDtZkpSZmup33927d7ceXObnqT7v87hSzwtmAGCHnXOxqAWXfCYCqBY4uAzFEUIwhC7FR/bS9VNThZ/MpacuXbroq6++UufOnXXRRRfpnXfe0erVq7VrV+2qmw1BSkqKKiuD/93CzU7m0llpar/99tOMGTP0+uuv67777vPdMH+srWGxldFe4sQmX3+zkV/11g0D+uq1ked6bQt0IuFriHn3bj307bff+nlEQ9dAAmkAUWdrWKyt4DLwxdRpvb7U8s9u0FOHfhl4vw3p4iKAoAJWi/3r9zWR6kdAySlJUom1pSSCZS5d0tPTNXXqVM2fP1/PPvus1q9fr99++02GYahdu3Zq166d2rZtq7Zt26pdu3bq2rWrOnToUJ+nEbNiJbhMsvGl6Cq807RpU02dOlWjRo1Sq1atdNVVV9Vqay9oja/Mpb+/2eSzqzKT0zyK5NodiJCamqa//vpLe/fuVaNGjYK0rh6hAAAIKTuf3XYyl8H22+Whmdq4e4/6PPa87n+89nfrPnz+A9gneEonZFei6n5Vq+a8y0AqbA5rPO+88/TWW2/p+++/165du/Tbb7/pxRdf1JgxY3T44YerpKRE77//vkaMGKG77rpLGzdutNv9mJecnBwTwaUjyXpbz0IErVu31pNPPqlx48Zp/vz5++6ovpr697IFQedausR7tViXkV/1rrXN8+p3zQvhNW/PHPCdTvvuXZVPvMVCYCmPKtEJfvU6kZ8bgJgUroI+wfa7/PqRapWZpuXXXx44aA1hEUcA8S9g1FY56dYQHaZ+E8GTU+wEl3UPkgzDULNmzdS3b1+dc845uvnmmzVlyhS9+eab+vnnn3XooYfqoosu0qRJk7R9+/Y6HyfWxErm0s4V15rDVzt27KjHHntMV199tT7++OPa+zaCF/OR7H2JxwJHgCG/DqPG0iQez63mkHJ/w8xtLQ5blxOM/Lz4msPIyROACDNrfC+99MoovTD/Mp+1EkI557J5dqb+HH+Drv3+mOD75bMRQLWAUVvrRxaE5ij1vKqVkmI9pWV1WKxd2dnZ+ve//60ffvhB2dnZGjZsmJ588knt3bs3LMeLpHgMLn19KR5yyCHaetuVOrHg7eqspUd7M3gxH8l+5jvabP3NgsTNM/p7z7s0JRl237N2A8tQiWiAaoir9AAipeb3XdP0qnOip/rWLrgWyuByxOI+7u9NqsUCsCr4UiShPIGq4wlgzWqxgYQ7OGjTpo0ef/xxLVmyRIWFhRoyZIhmz54dE0t51FVKSkrQif2RYLegjy8rTx/hc/ufhXv0wvzL9NXHYwLvNwb+DnbUXOfy+WNWeGcrvQT++16xqJd7/djIJHDj9GSFRZUBRFDNarGnn/GsKiflKjszs1Zbh61hsda/7wguAVgVpFpsCM8w3XOyZDvAtJO5LC+PTAbuwAMP1OzZs/XBBx/ou+++09ChQ7VgwYKYyADaFSvBpZ2CPv6CS6kq4+YKjkwZMiX939dVxZjWbi+s1d5zuGxczbnMz1P2f8br+WNWuH+kquGwrt9rMqrf8TMHfOfzfs8lfraPGh+Wbrt5fibUGyc+ABKTrwyjZ1bRk51qsaaNr32CSwBWBawWG5JlLj3V8Wq/nTmXkV6nsHfv3lq4cKE+//xz5eXladasWbruuut0wgkn2JpYH02xMizWXgl1/y9OV/bykLdmalH/s/XHr43UvOkqXXrebJ/tXfMxRyzuEzBojTdOs3ZhH4dhaPqAFe77fc29dA2NjcgFh9xJoRnOSiYRQIJyxsM6lwBQzQi0OG/nroeaa3/8PiwHNvPz9EqHSy21TU9LVlmptaVIMjJSVFRUe5K7L4ce1lZde7S21NYK0zT11ltvaezYsUpNTdUNN9ygnJyckO0/XD777DPdc889evfdd6Paj1XLtmvH9lJLbZ3N0rTHDPxl948/39C1u7rprIEDVbHL/37P+W22Xu14mSTpoINbqM/h7ax3Ogz+M+05XVW4Sk7T1KsdL/fb7rz1tYNlp2l6XdR4Ov1U9+/Xlrzn1W7S3hx179Hd7/5PObO7GjdJs9t9b/l51XM3H6jffmJJ/liCWQAR895ba7Rnj7XvxmNP6KxWrRtbavv1ot+04Y/ao3l86X3Y/jq4a0tLbRF+TnODTLPIUluH0UaGkRXmHiHeGYaxxDTNkAQtATOXzbPSQ3EMn0xTem2u76F5Nf3jjhN0WE57S22feWyRPvvwF0ttU5IdIQ0uDcPQmWeeqcGDB+vFF1/UuHHj1KlTJ11//fXq3t3/SXy0xUrm8pDDmltuO2/RVi1avdvv/YsXPKy8tf+TUhprwMACjbyg9tIc+zygc6WqOcG/GdLhUQwc8vPkWk3MYRg657fZfgsRnXNUVdbVxWmaWnn6CK/gcqDnA97etxJZp8f/q7Vr71NycsCPgPqpLthjOk39unatOnfuHL5jRYqrCBEBJoAIOfWMbmHZ79H9O4Zlvwg/p/mHTO2w1NZQYxkiuETkWB9vGmJ2BliU26gAGwvzM5OSknT55Zfrp59+0vDhw3Xdddfptttu0++//x6W49VXampqTMy5tCPY/Mxda/9X9Uv5HpXXY3maaAu0hErNoNMwjIBDsU1VDRke9vkaXXfddeENLL06Jr3++uuROVY4hbK6LQAAdWZnCg9DmhFZUQsuA1m26mX9ueUH9+2yMuvBQUqqjeDSxn7rIjU1Vddff71+/vlnHX300brssss0ceJEbd26NazHtStWCvrYEWB5R0nS/r3PlCQZ6VnastXqmqSGJNN3VeMorcPouYRKoHU6XYFjICtPH6GtW7fqk08+0VVXXRWwbSg5DEM3lG2I2PEAAEhsds7ZYvJUHwks8q8416LpAXy/ZoG+Wpzvvu3OMFo4wfeVuZw54DvNHOC9hp/XfsOscePGuuuuu7RmzRq1adNG5557rqZMmaLdu/0P64yk+AwuA1+JO+Ska3Tyza/rpL/N1h8bNlrbqdcwR7PG663m7RDys1+nKfV6Zo2ubfmmZh9dv8DS5eWXX9YFF1ygZs2a1aWndWJKyv73U9q2bVvEjgkAQKKyt5oDmUtEVoTGxXlyvchrvzEqKsq0eetqPX3uKerfsZ0mravafsLSadJSz8f6VzNzWVFRoTWbt6lb6xZyGFULxbsqZNoZbhsKLVu21OTJk3XzzTdr/PjxGjJkiMaNG6eTTz45ov2oKRGDS08bNm6ysefq7KVP1VlNGdVVTj1+lywMm/RsO9ZjH7Uf+6/3vlC77CZa9dO7OvYnyXwg131foEAzkPLycs2bN08fffRRnR5fV4akwruu1TFnnKG3335bzZtbn1sbM2pdADA9/s8M5l8CACKIzCViV+Rfca4FyKtjg+ePWaFnj/xWM/ut0NKVc/TxVw9r2KFddGjbVu7F4KtO9a2dwNXMXL724a3q/uB0921XgClFLnNZ0wEHHKAZM2ZowYIFuu+++1RSUhKVfrjEY3CZbCe43LBJy5dbDMj8rr3o73h2MpqmR+beDBiMzvp2pZ5ZvFwHNsvW6JyekqpeuzUDS6cpfXti4KrL5eXlWrNmjZ544gn17NlTPXv2tNjf+tr3NzMMQz179tSAAQP0xx9/ROj4IRTSNTkBAKgPO5lLgktEVtRecdMbnStJ2lVSoux/TlHumx9r8ajuev7CwWrduJFX2wWdLpfVk/iU1H1PaeaA7/TsucfouAPbuxeH9xTuOZfBDBgwQEcddZReeeWVqPYjHoNLh41X7oGdD9Jpp52mk08+We+9954CLb8jyXcgUWvIrL2slZ11ykxJP429Wl9df7nW3n61nr3gjFqvX9ftEYv71FqrrKioSHPnztXdd9+tSy65RP3799edd96pvXv3avLkyZb7UW8efxdD0vQeLfXD6CFq/9IUmfFYHIcAEwAQE8hcInZFbc7llXtf0cx+K5SVnq7LD++pkTk9lZWerksPP0TSvgXgnz9mhYate97y7l2Zy5kDqrKTFx12iD6+9mJdsahXrQXjo5W59DR+/Hg999xzKisri1of4jG4TE6yfpJ/YOeD9NZbb+mEE07Q9ddfr169emnmzJmB/+auDHtQZq15xKaPnxktustpmu4g0/Nfp+nd9vvBl1cFjaZ3EOm5zbNSbM3gctq0afrwww917LHH6qmnntLWrVu1evVqvfTSS+rTx/eyJpHgen5S1ZqwpaXW1m2LKe4A0/MHSEBRKmIGwArrF6wNvqf28VWwESEXpTmXVVORXcHjtOGn1WrlMKqGzHo9zsqw2Oo5l57n2zWDSpeKCM+59CUnJ0d9+vTRa6+9pgsuuCAqfYiVdS7tSAqw5EZNFU5TqampGjZsmIYOHaovvvhC06ZN0+23366bbrpJ11xzjbKzs+vZo32va1/FdY6WtEpHS5J6vj1Lq84Y6f7X154Mo/ZSI5L3NtfvntcFiouL9Uy35jK7DZBx/fX1eUIh5fl36fn2LEnSxIkT9a9//SuKvaoj5lci0bnmkwOIUWQu64bPtUiIzpzL6v9c15xKqfaQVU+m+3HBuTKXrkylv8BSiv6wWJfx48dr+vTpKi8vj8rx4zFzmWR9xRmv4MswDA0cOFBPP/20Hn30Ud2qLerUqZNuvvlmrV+/PsiejBr/7ttecr31IMkVZAWq8JpkIzPrmbl844035DTN2LhSWX110Gmaum3rvv6sPH2EDMPQ+EZF+uGHH/w9GkDUxMDnB4AA7Jyz8X524+JwRETnckbuJL3ReYRGftXbPcxv5Fe9Q7Jrz2qxvpYf8RQLw2IlqV+/furRo0fUFpqPy+DSRkGfSj9XLnr06CHDMLTjjqs0ef8UtZ/zmC655BItXbrU945cF0ZqfTiZSn/sn1LVvTr07VnuH1eWzi6HjefnCi537NihF154QZ8edWZsfIBW/70Mw9B9LbxfX1WBtaErr7wy7l57QMKzPC0AQHQEHxabmnS6UpNOl8PROAL9iSN8toVd1HLlriBw5Fe9AwaWTlN6Mvls6/tNSXKvaxlMrGQuJWnChAl69tlno5K9TE5OltPpVEVFRcSPXVd2gsuKSv8fwitPH+GeC2gYhl7s2159P3jJPY/SrDk2P3eSrfH6hlSnANNOcFlSUqrp06dr2LBhOvvss3X88cfbPl7Y5E7ShotvkKRar22HIS06Z6CMh26LRs8AAIhTXJRF7IpecJlifVyjnQyjZ+bSadaeb+k0q05qZw74Tv/a/1PL+w23AQMG6KCDDtLChQsjfmzDMJScnKzCwsKIH7uu7ASXgYZcS1UBpuunJkOmzPw87+I/tYq6BFaXANNOcHndmOu1du1affnll5o8ebIMG/NRI6F9+/Y6638r9eKLL3ptd/23GFJ8Vo8FACDCgla8r1ZW+XaYewL4FoWCPlWOHtBRB3dt6b1xvue6llXWD79NF2WmWN7vgQc1r8pEmaYMw9BzA77TR32Gu+8f+sjbeuPE9pKqiqbEkgkTJuiKK67QWWedpeTkyP7XpKamqrCwUC1atIjoceuq2/7p+sfQ/S21TU22fg2l6rVTe3vyI+N01YruatmypZKSkiQdp7T0ZN1172kB16t0cQWY3w++XL3eed59LH/zLi8a2blWFVhPq1au0uzZs5WSmqKnpj2sE0+MoWylD5MnT1b//v01ZMgQNW/eXFLVc+/59qyq4NI0mRUCAIAFyUZ/S+2czkJJTcLbGaCGqAWXTZqkqUmTNB/3GDI8xkN3srnftPQUFZx4gc477zy9+eabMgxDbTz3nrxn33Fs7jvcjj/+eLVr107vvPOOzjrrrIge2xVcxouMtCS1T7NR1ceiRcdcpKceXlVr+8x+K/SfPqu95genurPkNV9JvoNCQ/IKLF0Bp68As3WbDJ/7+P333zV58mStWbNG999/vy688EI57Cz6GSXdunXTZZddpieeeEJ33XWXe7srwHQYhu21QwHEGFeVWd6/QNhUjU7KinY3AL9i7Ky0ajmH+q5Bs2bNGh1yyCE+hwe+fmz3fdVnY/ALcMKECXrmmWcivjRIWlqadu/eHdFjxiJ/VVpdxac8VVRUz3lwvZbcryn/ly1MVVVPbXn/s9VVXa0Nmd29e7cefvhhXXbZZTrxxBO1Zs0aXXzxxXERWLpMmDBBH3/8sdasWeO13TXvFUAMsvV9HGuXbAEAkRbwzLTgwkGRXWzUbzVOew466CBt3Lix1nbXvDlDitlFVAcNGqSsrCx98803ET1uenq6du3aFdFjxqJAS4DULD7ldJpyVvqYVF9rTua+HyP3ATny8vX111/r5g37Xo89357lcx5FZWWl5s6dq6FDh0qSVq5cqdtvv13p6el1fYpR06xZM40fP14PPvhgree68vQRcrq31f8CE4AQyB8rW+/HGL1oCwCIHCPQxGDnA7mmw6iOP2t+YcTw8JetW7fqoIMO0ueff+6VvZwxY4Ye2q/GUMYY7P/YsWO1Z88e/e1vf4vYMYcPH67hw4froosuitgxY1FZaaUm3xu80rDLs3Mu9hgea5+rkI1pmkq78xEZhuH1Y5qmjjrqKD366KPq27dvnY8TKyoqKtS7d29dc801Oumkk2rd3/OtWTJlVg2TjdHPF6BByR/L+xAAEpxhGEtM08wJxb4CZi6PmvtxgC+V2D3xcxWl8ZxDuHXrVs2YMaP6lhHTV1gHDBigFStWRPSYGRkZ2rNnT/CGCS5Q5tKXyor6DV82ch+o+jEc2rt3r3bv3q3CwkLt2LFD27Zt0/bt2/XJJ58kRGApVS178+ijj2ry5MneFXirrTxjhJ5p2qX6llm9JAxZTCBqYvR7EgAQm6xN2PL15RLDXziGYeiggw7S+vXr3dsef/xxjRo1SrEcFLscc8wxWrFiRUTnXWZkZDDnUpLDZnAZaA1NO4zcSUpNTVVaWprS09OVkZGhzMxMZWZmxtzSIvV1yimn6NBDD9ULL7zg8/7+/ft7zcFkPiYAAEB8iJ9qIDYdfPDB7uBy1apV+uyzzzR+/HjFQzakVatWat26tX755ZeIHTMjI0NFRUURO16sMgzDVoBZaWMNVuwzefJkPffcc/rhhx983u9d5KdGeJmfJzOG378AAAANVeSCywifDHbt2lXr16+XaZrKz8/Xn7eOVHZ2dvW9sZ+97N+/v5YtWxax42VmZhJcVgs2NPb5Y1boicMWq6KiYl/FWNjSpUsXTZs2Tdddd53WrVvns03BCedLqlGAq3qOqlF9kYggEwAAIHaEP7jMz6s+IYxsBcguXbrojz/+0LvvvqvS0tLqE9Tgi93HioEDB0Z03iXBZZXFixervLwkYBunKWWPf0xz3riC4LIezjvvPE2cOFHXXnut/vzzz1r3H/m/eUH3Ych0F0UCAABAdCX0sNiffvpJjz76qFZcPjja3bEtGpnL4uLiiB0vVr3xxhtyOgMPdR35VW8lJ6Uru0l7gst6uvLKK3XTTTfp2muv1Y4dO9zbD6219qfp9+KQIRFgAgAAxIDkyB0qskNRu3TpotWrV8t8IDeq/airHj16aOfOndq6datatmwZ9uNlZmaqpCRwxq4h6N+/v5YuCh4wXnT2fySJ4DIEbr31Vt1qbpbzy9e1+LjztHz5ch0aoL0po2pYbDWnWb10SQwvjwQAANAQJGzmsvXMB30HlnGyQLvD4dDRRx+t5cuXR+R46enpPpeGaGj69++v4uK9ltsTXIaOwzDU77NXdM2uQIWsDBkewaMpadUZI72L/8TB+xsAACARRTC4NL2LcoS9Yqvh8VN9O84yGgMHDozY0Nj09HRVVFRE5FixLDs7W4ajVJmNHWrRslHQH0dirRISRVb+kLXfw4aknm/Pql1dlgATAAAg4iI4LFaqPW+q+iQwHEGf5z69CgrFTzQwYMAALViwICLHSk9PV3l5eUSOFes6dd+ioqLf9MhTT0W7Kw1H7qTq96e/VS1rBpaGu61ngLlvrmYYP1sAAADgU5SHxUYqm2jsO5brJw4cddRRWrVqlUpLS8N+LDKX+xx33HFauHChTNNfoIOwyJ2kWqMNPN+7AdoaqioC5Pk/5vX/F+Nr2wJxjfcWAKBaeDOXsVLBMU6CyZoaN26sbt266YcfftBhhx0W1mMRXO5z0EEHyTAMrVy5UoceGqi0DELO9V61knWsvt/MHytDppymqdn79dKIv76XJBmGfIyUcN32c2HLdZIcp58ZQMS5RhwwUgAAoHBmLr1O6jyzEb5uw58BAwZEZN4lweU+hmFo4MCBeuONN6LdlYbLxkmqkTtJpgw5DMMdWAZnemUzCwsLtXPnzrga2QDEBPcoAgAAQp259Jmp9MgQsFSAZeXl5Xr66ac1b948jRkzJuzHy8jIUGVl4PUdG5Jjjz1Wzz//vG6//fZodwUWGEHnbPpTFWQ2MU3t9+BMPfDAAxo5cqQMg5NlwDK+0wEA1UKTuXRVf0W9maap1157TYcccoheeuklTZ06Veeee27Yj0vm0ttRRx2lLVu26JZbbpHTyXIjEVHfeVse8zDthpgOw9Dm3FEatWWVjAfHMkcTiKSIVJAHAERCmKvFkqW0o6CgQLfccov+/PNP3XLLLRo4cGDEMijp6elkLj2kpaXpueee04033qiLL75Ys2bNUlpaWrS7ldisflYEmjdZfduQapyo2i/OZMpUZUWFkpMjXFQbaHAYKQAAiSJEcy59zaH0F1iyBl1Ne/bs0aWXXqozzzxTJ554oubOnatjjz02okPzyFzWlp2draefflo7d+7UKaecUjUnDzEkyGeJV3XomuveBmdIcjx8u1avXl3PfgIIKM4quQMA/AseXFoZqhLsS8Fr2CzZzJqee+45rVu3Tq+//rrOP//8qGRKYjm4NE1Ty5Yt0+23366BAwfqrrvu0ooVKyKyVEhaWpoeeOABdezYUf3799fvv/8e9mPCDosXq3wGmpK/YNOs/nEYhrq+/qweeeQR/8OjuVgGAAAgyXLmMsgJnOU5lwx98WX69OkaMWKEGjVqFLU+xOKw2JKSEr366qu65JJL9M9//lMnnniiCgoKdMwxx+jOO+/UxRdfrHnz5qmoqCis/UhKSlJeXp7OOOMM9evXT999911Yj4dgan6O2BwN4Rlkes3TrNqv0zT13WmXaeXpIyRVBZg3lW+UHhyr9evX+9ghozEAAACkIMFlwYWDVO9lQ2pmLMlaelmxYoX+/PNP9evXL6r9SEtLU2VlZUxkLzds2KDJkyfrtNNO+//27jvMiaptA/h9UrazsPSqdGlLl7agiCACigWxSxErdl93Abu+Ci6L9bO8NpoooqJYqaKIFJG+NKX3XreX5Hx/pOwkmSSTTXbT7t917bXJzJmSZDKZZ845z8HKlSsxefJk7Nq1C08++SSaN2+OjIwM7N69G6+//jo2bNiAgQMHYuLEidi5c2eF7ZMQAqNGjcJjjz2Gfv36YenSpRW2LfLCaysJjYGebT3W85JlSBOL9gtnod38mfYaTMASZDb88v8wffp0p1pzH86PDEKJiIgogglPTQvNk9OlLiPL+1o8DUHC4Uc8euyxx1BUVISHH3442LuCzp07Y/HixahRo0alb1tKiVWrVmHOnDnYuHEjRowYgYceegjNmzf3uuzBgwfx8ccf4+OPP0bDhg1x0003YcCAAYiJiamQfW03fybMUuLLhp1w++23V8g2yAOX843TuQYS/pxziouLEfP2szBLiZ9bX4YmTZqg3fyZDmXMUuLUqHTUrl27HPvN8yERAMvNFn4XiIiCTgixTkrZNRDrClDnPtude2WgKhlYelFcXIwvvvgCM2fO9F64EhiNRpw/f77Sg8tjx47hpZdewqlTp/DEE0/ghx9+8KmJcKNGjfDyyy/jueeeww8//ID33nsPU6ZMwXXXXYdhw4ahUaNGAd1fCUtNZnp6Og4dOoT09HSOi1ipbAGkjdO5Rhl8liOgs9yUEBACuHbHcmDHcpcyOiFQe8YUx33yun7n/SaKdpIBJhFRhPFac7mw5WjUrV8FnbppuED3VINJLr799ltkZmbi008/DfauAAAuu+wyvPPOO+jYsWOlbE9KiZ9++gmvv/46HnnkETz99NMwGo0BWfe///6LDz74ADNnzkTbtm0x6KpbUbt6S+h03oPAOvUTcFHTKl7LHTt2DP03LFKZw2M+kBb+tAMmk2MyncH/Tvd5PRLAghaj7M8v698MiUmeh5eRWRkOjV7dN4bV+JnbmsXy+KBoZm8e7r6VwYo1B3HqjLb+9N06NUC9OkmB2z8ioihTaTWXOiEwaOd0yH8BdJvsvqDbZD68yPbkk08+wXXXXefzcmazGR9++CGqVKmCLl26oGXLltDr9X7vT0xMDM6fP+/3erQ4c+YMXnnlFRw8eBALFy5Ely5dArr+li1b4s0338TEiRMxZ84cjDq5DebcfRi9MtXrsh2719QUXNatW9d2aeSEd+MD6ZsvNqKw0LEv8OCelv9mCVz98ZdYvOsgdqXfjWa13Ne6Swl8OX2d/XmHrg28BpcifbI9wDRLidW9b0BycjIAODWV1dhSIz2T/S6JbN8RD9+FX5buwrZ/T2laXf26VRhcEhGFiACNc0m+OnLkCFatWoX+/fv7vOzs2bOxatUqnD59Gs8++ywuv/xyPPLII5g6dSo2bdqEkpKScu1TXFwccnJyyrWsL3777TcMHz4cqamp2LBhQ8ADS6X4+HiMGjXKp8aIphI3Q06osGUUdSXLsigzmPCL3qB+mjJLYOTq9jiaY6ndyCnynIxKJ4Bpvcoy/ZpN2j5nkT7Znkm214p5aGsNKpXJfly4+9x5LBCV8ZDkz2zWftbW0iKFiIgqh8eaS7O01Mu8cPQy/NddIdWLJeuJnjU3bs2cORP9+/dHQkKCT8sdPHgQH330EVatWoWWLVsCAI4fP44///wTy5YtQ2ZmJvbs2YMOHTqgY8eO6Nq1K1JTUxEXF+d13XFxccjNzS3X69HqzTffxNKlS/HNN9+gT58+Fbotpd/b34PpH/ylqWxpqW/94my1l+q1mE4cavm91HI513669CuMjpYBer3ne2Ade72FjgDaN9jsMi+/uBhtX5+GZ6/siTHd2tsDzNErU2Eyaf+cRXqm5TO21mK2+WUGVqZdj6pVq6Lt/JmKz902LInKkWD7PBlgEnll9mEcYz2DSyKikOHxqq32xG8wemUqCvI91IS5XNxyyBFvpJSYOnWqz01izWYzXn75ZYwbN84eWAJAnTp1MGzYMLzzzjvYvHkzDh06hKeffhoJCQl4//33cdlll+Gjjz7yuv74+PgKDy7Xr1+PadOmVWpgCQBGo/Zmw6Wl2msuAUvtpQTQ9P2v3ZRQ1GK6m672pxw/0b6sdHoc+YGKt+DSZuTq9i7TdNAh3mhAUowRZmmp7bRx7sephUi3dA/QCYG0ld+j7fyZDrXXElA//9k/T8t/8+R0vPrqq/DU571cWFNOEYI1l0RE4UlTttjCQm/NLBUn9mgJKv2oOVq1ahWOHTuG/fv3Y+fOnSguLkZxcTGKiopQXFyMkpISl+dFRUU4d+4c9Ho9/vOf/3hcf7Vq1TBkyBAMGTIEgCXxTO/evZGUlORx6Iz4+PgKbxbbvHlzbN++HX379q3Q7TgzxpQFl7aaK3dMPtZcApYAs8H3K8u1b55J19pOhzpSlfkR9h3UG1wvHN1dd9qm264142IM2PbUGJgl7J/5jLRszEjLBuZlo3zvV9l7L+DY91JKxdnQYb3OmWIFPvzwQ1x55ZUVMMYt+/xS+MuKWwS0tnynh+241GNZBpdERKHDc7NYswkAUOip5hLgRYyPDAYDBg4ciO3btyMuLs7+V61aNcTHxyM2NtY+zfbY9r9Lly4+J++pW7culixZgrS0NFSrVg2DBw9WLZeQkID8fG3Z+cqrefPm2LhxY4VuQ40yuPTG15pLm4cffhg4uL5cy2ojyppV2hNiuEumFTkMKjWXarWUADBhXxqOHblgCR6tzNISbCqnlSlHIObxvXcT9aZnOmSe1Qlg38O34P5PPw1wcMkuCRQBrN8tYR1n+/rRX3kszuAyQKKouwURVRyPweX5vKPIzT+JpIRaKC0xweBD08LIV/4fs27duuHrr901oawYjRs3xsKFC9GvXz9UrVoVaWlpLmUqI7hs0aIFPv744wrdhhrnZrGeai997XNpc2uFBpaASyDkLriJsFordwl91Oj0wiWwHL0y1Z7IJ7DXoGU1mLa6ZJ0Qbt//c/dMQMonk6xLWMp+2KIaCgoKEB8fH5hdiqDPnUgrBpcBoBweJsJ+Q4iocnm8akuMq47EeEtq/8ICz5kYo04Y9itt164dvvvuOzz99NPYtGmTy/z4+PhKCS63bdsW+L5mXihrLkevTPXSLLZ8NZeur0go/pTT3NFygeSu/6Zzmcjpd6e1zyUACCEcmswqE/hoGYbGJ/ZzgLBmlFX0uVSRkpICWMso+2l+++23gd0vorBnORdO7NsddRO8J6PTCQaXfrOey1hzSUT+8njVFmNMgBCWIgUFxZWyQ1Sx0tLSMGPGDDzxxBPYvXu3w7yEhAQUFBRU6PZTUlIQFxeHgwcPVuh2nLlL6KMcmsKmvDWXtsQ+ZiktAY4t+ND0ox2oH3Sn7WSNC/tAU6/XfuGo01luHqgFmBXG+l6L9Mn2hD+qrJ+Dsp+mEALTpk2ruH0jCkfpmTBLYNygy9Djlplei7PmMkDC8KY5EYUezVUCHjPGUli55ppr8Prrr2Ps2LE4cuSIfXpCQgIKCwsrfPstWrRAdnYFXuyriFHpczkjLVs18Cj1YZxLZ1sHjcCi9lcCkDh58mTZjPRMuCbfCTSVTM3Oz8Mw0PSlWazQWco611K673MJlNUGV/B7o/gcbLGvALDoqk44cOBAxW6bKMw8fPYKr4l8bBhcEhGFDgaXUequu+7CU089hQceeABnzpwBYBnnsri44muomzdvjs2bXcckrEjuEvp0enMGrps212FaebLFKjVs2BAA8Oqrr5ZjabWmtH4Kw4BSybdmsWWPnYceCRVmKfFdM8ckPjNneq+dIYomHIqEiCg8ab5qY5/LyPPEE0/glltuwcMPP4y8vDzExcWhtLTiP+fmzZur9vmsSGoJfcwSaF+vFro0rONQe1nebLFKQgjMmDFDY/NfRTNWl6a0vnDT1zLMmzn5Elwq+17Z+lnagkz1YFM4/feTfZxSlc/BWmutEwI37l7tsM9Px5yv9H7IRKHMl+8Dg0uiCMBxmiOG9ppL9rmMSBMnTkT37t3x+OOPQ6/Xo6Sk4muoa9WqhS+7XFSpJxHnmkt7gpdG4/D8gN4OzSj9rbkELM1jhw0bhpdeeqn8K6mQoFAlALUHRKF5Yvelz6VQuci0fdbKYBNQJt9RaU6sRtP7oxx/1LmsY420PQGQ1YoVK7ysmyh6sOaSKIrYuwxFVkLCaCU83R1MbddRzvt2CQCgVp0kJFf1nrWNKt7OHSfw+adrNZVt3LQ6Rj3oeRw9k8mE4cOHY/ny5UhKSsKPP/4YiN20M+uKUFR1N0ymUpw8eRLXLj0MwJo1c0wfh7JFpTGYuz1G03oTjEY826u3prImkxn7dp9Rndfs+8kwS4kFra+D0WiElBJLfjmiWlbN7WOaw+DUL7CtNWFLjUmfYPXq1WjZsqWH/pYekvn41EdTQ1Ig53HMyrNPlezokQvIz9N2c0sIQGqoeG72/WRICAhPr1H5Xjm8T17eG5f31Kl8VgakBHp/vwIffPAB2i+cBbOUGLP9FJP7EFntPXAOJRpbkVzcsCpifRjLmIhCjC+/sVQhhBDrpJRdA7Euj+NcxsYZ0KxlzUBshwLIZJLYu/O0tsIabv7q9XrMnj0b3bt3x759+/D8888jISHB4S8xMRGJiYkOz6tUqYI6depAeEkDX1pSCrMxD8II1G6UDOCwfV5e6SkAQI86d9un3TxvrvMqVMXqtV9M6PU6t8eyhIBOAIN3/GAfJuL4sQKYTdrunJeWmF2CS9tQEyMOF6NLly4wmUzIfeEh6HQCZimdUudX5rhizidtAdeDxDotRAbUrlc/uQLWKhwbwqq+VmsJl7uoKp+Xw/Jq76njtiEsN3U+//xzpNa0NKP+7rvv8MYbb9iHLCGKZk0uqhbsXSBnHP+SKoy3300KJ9o7M1HIiIvzeE/AQVGhtj6UsbGxWLx4MSZOnIghQ4bg0ksvRaNGjRATE4MzZ85g+/btWLp0KWbPno233noLEyZMwG233YZhw4bhk08+sdfUKUkpsXDhQtx550j7tO4ztrs0ByyvIpMpIP3URHompDWQsK3PYNDezMrT0CVjxozBd999h99//x1bB1uGKtk2eKTb8g4qIrOs84WBy4WCm2Ay0pqpuDSDVfm8Hfq/auHuJoFTM5/0TAgAq4Zdhk8//RTfNesBAeDcM/eh6scTfXoZRESVIisDbLJIFYbjrEYU7VEKhYy4OKPmsoWF2vtQ1qpVC2PHjtVcXkqJFStWoPeqHwAAbX6ZgVeLkjFgwADs2rULb7zxBkwmE7aNGArM2G5ZBsCaka1d1tW8TUOc2n0C8/f/D2+udpntVonZjBgfajDdEYqmj3PnzoXReAmKi7Q1yfKUAEgIgbp169qf22o0nUpV3snU651n5+FSFM9dmolG0I+A19ehEnw6Bf+WLLDdMeDCBSR7uwubngmRlYGT4+5G66efxo1jhgKwJPeRWRmex8skIiKKNJFyPUGsuQxHsfE+1FwWVVD216wMiCnj0bt3bwDC0n9NCKxZswYDBgzA+PHj8dhjj2HDhg0OiwkA3ayBptKs317Gmf8+BiGAn+5/EF9dPwwjv5rudTeKTaYAvR7L3VidEHghIQ/vt1uvedHSEt9qT9up1PJ6FoBkFbaEPT7deVYbFkW5fBTdxVbWYrqtzRR4++230aBBA/T9+S8NK7U0zd1hDSwBSzhaJ2s6jh49GqAdJ4pQIZqALHJ5qFXi50BECgwuw5BPzWIrbAgZRcCRngmRngmRPhk/XtYGF55/ELt27cLIE1uhe32C6pLOAWb3Gdvt0/OPnwAAPPLLb5j9r3o15px/V2P2v6tRZArQ63Ma+kMngBk9tI3F6evQJa6hqLsgzdcmIlqDPedyzsGrYrsOw6Io94fNV5Qs/WiBP67tgQvPP4gbb7wRZintf6t6X++6kMpwMwLAsadGYsyYMRyahIhCh7ubalnjEFU3GonIKwaXYSg2VntwWVpqDsi4jS4/HO5+aKxBZlxcHNwFH7amsd1nbEf3GdvtgaZt+oMLf8Zl/3sPu59+UHVX5igCzqJA1Vxa9912sf/28rWIHT8Fd1abh4frL/S4WGmJb++vetNYd/sD9eyjgeTc91Dts3WusfOpL2KksnwOZinxSmEVh77E/fr1w7bBI7F10AgIIXDttddassTavke2/yoBpk4I/NS3LT755JNKeRVE4YnDj4SEco3JTESRjH0uw5BOr0NMjB7FxdoCq6LCUhiStA3vocrbHUnV4S2UgaX7/mcSwM8D62Boh6dw/YjLMXcG0B2WYNMM4LaWjsOozHGqyQxYs1ib9EwgaxxKTWZIAOMW/IE9Z87jusED3S7iKaGPOxLOP8fKvo7CMYhTS9GtbJqqiWL8RZWhMRzKMCOgNorPpk6dOtiadqNLESEEtg4agZO255CQWeMcP3v751n2WeqEwJiz/2LPnj1o2rRphb0EorDFc1To4GdBRAqsuQxTsT5ljNWe1EeVzz8cTncx0zPR4OX3IDKy7HO7W2srBYAaH66HBLBvyXbVZD+eBDy4BID0TDx5eTeUZj6F70Zcjxm3DPLYRLY8NcNbB43wEBbKsj6StkDd/qfISKo10yvg1LzVmVMzWPKB5f2sVq2ax1K2z9ssJa5b7trnGIqMxUpz5swJwD4SERERVQ4Gl2HKp+CyopL62DnVpjnXimVl4EhuPgDg6Z9+tSyRkWUPNns2bgA5OR0bjpzAk53He9yScxgX0GaxCm+WDoJZAhdXr4br2rb0WLY8NZdAWcDh/KckAZW+j1AEnjYamyW5a/Lq6Tm5l54JAYHh+9fi0KFDHotuHTQCOiHwQ59WkCq3FixD4lgCUJv777/f8iAakpdE+usjIiKKAgwuw5RPw5EEIqmPp4DDeZ49K2lZ8HPw0dvQtV4NTLzmStVV2ALNlYdP2KfpAJeEPre17AEzyoLMCqm5BBATY8DI1e3tfzoBfNZzs2oNpq99LpW2Dhrh8ufItRbYbY2lP0EhA8pyExmToRMCV23+FT/++CP27dsHs1n9mLCFje6S9Yj0yXjLUM/yWAhUr169InY59HAMPSIioojA4NIfQbwQConhSJRsTTXtzTgdNWjYEO9utASQapfVcnI6AOCzm933bbS5rWUP+19F1VwaYx3HzjR7qJwMSMIkq1mzZsEsbfVawjL+JoUBAZ0QGKc/g4ceegh9+vTBvffeizfeeAMLFizAwYMHcejQIXx1URcAZeNZqnn88cctn/9TEfDZ+zTsDREREYU7Bpe+csj2GLw77Z6GI8kvPIfc/NP25xU3HAmcxk9UJvJxHWKh+4ztGPjhl9BlZCFzUG97QGkjJ6fjzq7t7U1m1RL6AI61mRVXc+kYXI5c3d5t2fI2i1Vz6NAh1J48DS/mxuPMGE/HlnL8Sac+mqz9qXzWY16XkYX9+/dj9+7dePHFF9GkSRMsW7YMA7OX4r777sMtB9Z5XZVOp4NInwwhlN+hMA6+tByP9psokscwERFRIATp95TZYsvDXksXvKyatesl4+TxPNV5n8weB5OpBPff+XGF7sOZnCIoG+1JAEdGPw+cygNGP4/6015yuSRevv8IAGDqmi3IuKKn123USUx0eP7OBkufzdn/rsbjna6EXqhcdKtlV/VR9RoJqF03yWW6bfzL4b/VR81aNRETEwOz2Yyzp4s0rTcuXo/4BPdfu/Hjx+P222/H1KlT0ap1e9x+xyiMGXMPatas4VhwxLMAgHoz/6uyFhnUYzNqKd7vmjVrYuDAgRg4cKD9xH7gkdugzBPsU620Q4bgMOLTMeg+qzQREVUAl+z+RP4Tngbq7tq1q1y7dm0l7g4FwtKlS1FYWIjBgwdX7IYUQZxZAv1PXY4lNZeh/6nLy/al1jKHRcwSuHNdR3zRdaOGDTgPb6Iy3ct+aSqvlUozRgngw5gBWPXbMU2r6HF5HfQZUF9T2Z8X78GaTYUey8xtq/b95A9FyPIn6A/1Gwb24VSEYxN5X/ZZGUCH8mslIooEaokYqXJVVIDv/JvshRBinZSyayA2zZrLCNSvX79K2Y5yrEadsASSnvom2sppDixt3PRN87xsRdSAKMeKLJtyX+FC/PzPd3i+fy90aVQPo1emul2DL/0zU1KqAvAcXFKY8SnQUrlJEspcaledhs7Rug4if4T6TRiiUMLvSgiooAqBILawZHBJ5Taz4z0YufETh2k6AXvtpa3WUhlw6oTluc7DdbKEj00GnSkGtw8oey2q8gJa4kx+IZbtPYRFO/fh0ovqYUZaNswSGL0yFTPSsgHA/ry0RHvQazS4vknqNZU+4IVXyDpw4AAumvOuPZlPiIeS6pTHlv176Nwfm4iIiABU7O9ikH5zGVxSuTkHlkBZ81hlYNn/1OXoUSMR+9YfwawuG31oFqtG6wWqrfayAi5oHcbxHIcaSQm48N/HHIroBOyBpcvz+YCUwOf12+OOo5tVhh+xMBrKk2/Lw+t1k8mXQsNFc94FYP2Epjj3ryxHLWDIUdl/Bp0USOHYL5mIKMIwWyxpo+FHW9nv0vbc1lz2FfELZnXZ6EOzWD/ZMtZW9EVreiZWdXsAZgmXP0+EAO48uhkCQLv5M9Fu/ky0+WUGZs+ejbbzZwIADIqay7lt12Ju27WIGZdlHxPUI9UMYbYAhdk4w4kEIJ96DeEZhCmzGrubT+QDT+cuf8f7JYpGvB6gAGNwSd5pOPH8tGUHftm6w94k1hZo2gKtDDkYd67rWPH7qlRJFxkxsQaMXpnq8qcWcFryZ6lfcOuEwKvVSiClxPbt22FQ1FzalvfeqlYqmgRLlQQptm1zwPrQ43hMSMVUMcXSMV9mZaCkpKSyd6z87Bf71uPO+TvJYIB8URHdHYiiHq8HKLDYLJa803Dxd+3MHwEAcnIrh4yxtv/ta1gulb31t7SsxHmCYoEQvBB1HhPTRi2xT9sO9ZDxUn/LE/vJ3PEF64TA8H1/Q+JvzIYlcdfwbZb/R5+8C9O37PZh75TBpnDsNxqC72VUU/QVNkuJrYNGoN2Cz+yzbZm9Bw0ahEWLFkGnC6N7gzzWyB/2rIdERBTqGFxSwNmawjozd/FlGBKFEL8wjYnV/jUqKTaVPXFJEOR48aQ2TFDdunUxvm5dX3cRDk1i3TWvVAacDD6DREDC8h1qt+Azl/64befPxJKBnSFfHw+kTw7OLhJVNn+TtPF8RuRBOHa5oFDGcS7Jd9ZgSEK6NO48ffo0amZORZUYA+pWqYKMvt1wT/f2kFJCCG39q8wS0GWEz4Xznp2n8FL6fE1lGzerjpdeH6I+08Pd+TO5uYhBDJKSYsqxh17GHXR70cYfnGCRWRkOA98og8x282fCLCX2Dx+LJk2aBGX/PKqocWYpuvky1rHqcjwOiYjcCeQ4l2HUropChrWf1L67nnOZNXPzLgBATnEpdp4+i3vnLkTnt6bj1s9/xNWffI0bZ3wHs9nzWI86gbBq/++uWayaYmXNpTOHPpGOarz8Aaq8/DYA9WRBnhMISfcBZCj3YYrmxENPZcJsvfEnAHuSJxudELj46/e9fpdCA/vzUKD5ckwxaRQRUWVicEnlFh/rGlQ9cUV3xOp0SDLqYbR2rsw+ehJ3dm6DFjWrYd7WXZjyx9+VvasVqtzNYtUoEqBIlAWNqXVqol+zRjDLsv6XNmYJPHzycqcVCac/G8VFmcfAUlHbWdlBnm2bUUwIgYWp/WCWEmYpHbIK2+iEgHh9fPB2Uo3q58aLewqiysocTtGBN8qIvAq/PpccFy1kxMdYDh9bAKQTlsdFZjOKzEDLminYfeosrm/XEmkXN8RNXyyBBHBPV9dENzYHzuZAwoyLU6pV/AsIkIDVXCqlZ+Ls2QLc+8SP+LrNWmx8crQ9EdLcto5N1XUCeL+2so+rWtNXpya3WeMAh4aXSsL/Pk7kt6uvvhpv7diBgwcPYkpdyzGm09i0PHgU48va8FxNAeHufKUBj0EKBNtvIvvwEnkU+sGlWv8dCgnxsXr7kCMA7Flir0i/HEtrLcPmoyfQomZ1DDl3JYbs2w2TqRjxBgMGfDQHCbExWP7QHQ7rM0ug7+xt6Fb1BL68Y2gwXlK5+FRzWVSqfb3WoNVWU/l1m7Kg0n3GXTf9K9Mzy+64eu1z6dyMVjiVq+ibOwxMAEvt5RNPPOE40emuecidDW3HWRR/blRBHBKgMXMsBYPt5hkReRK6CX3cBZUVeNEyZ+G/KCrWdvF/88CWiIsJ/di8IsmscZCQuPFgG+Tn56NZs2b2ee/pf7U/Hhc3FFlFPwAA6rz0Lk7kFVjKDL0SY3t3dljn6bwCmKVEzaQEfFv/dk37ccNtHaDzOr5JxTGZzPjpmy2ayur0Atfe5L7mVqmk1IR5P+9QnXfTvzPsjz2/cg2BoJbmsQ7l2HKAiIKINzAqzYHTeZi/6ajHMmfOnMHTw7sDUM9yHlF47FGECmRCn9AKLq1f2uPHj6POzNfh0MTKoZlexQSao59fhOOn8zWVnfbyVahTI8F9gSg5Ad358Dzk5bsf1L3nsfcwYdFqbHjkVrSvXxtLdu7DrHVbMTf7X+S86lgrU+25t9GlQW38+sBtMEv1cSLVfDj7VsTFG/16HWFN0518d8OP+Nr0teJv8hARUWj4Y8cJjJuz0WOZTfOnoeCvLwFEQXBJFKECGVz6V/WmtSbDU6DlfHGblYE6sAwiPvSPbfjx8ja2LaCiL2wTfQhQ8gvdB1T2JolRICHe6DG4fHNLAcymItw44zusfuQu3Pb5jyg2mVFkMuOX7bsxuHVZbef5omKs2H8E93y9AD0uqodpvbQFmEVFpdEdXCqbvAJQDzQ9ZIzVjDWWFADsN08UNopLvWek7jBoNFZnL8ClV91UCXtERKEuQNlivaUFl+oZJxUXu7a0+9L6J4RA586d0eyDbyClGbNnz0bpE68GZnfdSPIhQMl1F1BFWRKUuDjP9yc+6lcXALD77AW0nTIVp/ILcUv7ltAB+GrzP8gpLMae0+cAWMLxpBgj2tWtiWY1q2uuuSws0N6PMWLZssw6DGcS6BscKt9jezZZ578ozKgXja+ZiCJaUam2JHQ9MuZg6KjHKnhviCgc+BlcKi9ilUMcjHN87OVC1ywlPqzS1D5YuG3A8Jtvvhnz5s3Du3GN8MYbb0D3xgS8oa+DnJwc/3bbjaQE7cFlXoFKcBmFfdLivQSXTWvURPX4WIy/ohuS42MAALtOnsNtnVpj+i2DccWHX6LzWzOQffQkrmh2EQpKTdhz+hyuaNYI03pla9qHIk+1yNHIbaDp/D0sb/Apy4JIsmBg6Z3yd4FCQzTfDCJNtNRc2sQaOLodEfnbLFYZQCl/nNxlpswa59QkyjKWn04AD+buBWAZLFwZYOp0OvTr1w/9+vWDbv5MPF56FLUaN8aMGTNwzTXX+LX7znxpFqsaXEYhHTz/8Dx79mr8/oAZAz/5Gsdz8pBgNOBsURE+7NcTxaWl2HzkBHQ6gZzCQvx6/y3o+OZ01E9OgvShz2VhIWsu3VLtZ6n4brpcVAaqv4xEVDV/jIbX6C+XxFAUVA6fg4yaPAHkmxKT9uAyxqB9WC4iciMCrp0Cl+7U+U1Qe1Ocx85Lz7TUnSimSSnx3HPPYezYsahXr57D4rbmsqfHj4F52zJMPXECd999d8BqDBM11FxuXfYJ2l5+j2uz2Ci9YMrLO+dx/txWf+OKDxYj3qDHXZ3a4J3rr0RyfBwAy2fdJCUJ/57JwUPzluDm9q2w6ehJxOn1GN+vB2akZWtK7FPE4NI3yu+I6niYgP9BZpSnbI+AH4eKw/cl6FR/ryLohhAD5YDxpeYyhjWXRAGgaA0apuexyh1Lw/6D5vymlQ2OLIRAq1atcMstt+C6667DmDFjUK1aNQCw12a2nT8TQgi88MILOHr0KJ6JCczueWsWO//9GwAAB7b+jDuHbFd5XdGXSfPM6RMAarudP2zHpTiS8xH2nL2AGMNRe2AJALpxU+yPNx49hfwSy3AeL/bvhcm//4Vh7S5BkxrVvO4Dg8sACkjtknBTKxoFXGqDIuRiPZBUj7EgvkfR9Blp+l6H90UNgPDe9xBTxGaxnkXT+YMqRwSMF13JZwJR9t+59sTaTFZAYNKkSdiyZQuMRiOGDh2Kffv2OazFFmTOmDEDz8ScD9jeeUvo07D99fbHuS7NYoXidUSP48cOeS2zc9x9uKV9S8QaLPcyVuw7hCd/+A2pNas6lPv31DnohED3i+rhuYUrMHD2Dk1NYwvZ57IClDchkOK7HYXfB/X3zVvCMwoaZU09P6PwxX6jFaaENZdeRMfIAFTJwvzaqXJrLr1F44rp9evXx0cffYRTp05hx44daNy4sUPRrYNGuNSXWUfELONj5O+tz2Vq75FI7T0SAHDfns+ALNuc6Dy5FBYW4vixQ0iq0dljueGf/YBvsv+FUQAfrNqASUv/wqHzOaqNJl9443bs2HkWxSYT2jYfrGk/ipgtNvDstUuBaiYbJRzeN+V7FgG1QZEo6mrYy1oJuU4P9+PVz5YCaq+XtVI+JvSJwj6XUXxsELlT+beZfPwiNmzYECdOnHA73zZ0iVlKCEhIW7Mf28WdDxcOSQna2tf+dPFKxbMorLG0vqfr1q1DtaqJXotvj+0BAaBqfBwenfcrBrZsjFi9+qH3fEl99Hr/CwDAD79N0JQxtqiIwWWF0ZR1llyoDgnjZkimqBUix5BDduUI5+77bJ+mFGXHqy0nhMtrju5abV+axUZnzSUROauYmssA3u2rV68edu7c6Xa+rYmsyWRC6sJZAIAB/ftj5MiRuPNYtiUfrcY7sFrHubxmfy/81HgldM4/xqHSh6gyZI1DLylRr24tFHspuuXm2vim1bV4fdlaZB87iYQYI4rcZKD7fuu/qCGA0xJoEKvth4rZYiuBp6yz3spFK5ds2qz9dRB1tYYhxG3CvXBtqaCseQ1krWv05VFwxoQ+ROSrCmoWaz0hB+AEX79+faxevdprOb1ej22DR6Lt/Jm4+uqr8emnn+KRjRtx5ul7oRNQDXhNJhNOnDiBerPeAtIzkZhgxC+NV8IsLQGkJ4+bBuGd8VeUTYimbLHW93DwoEFI7TIUO494Lm6WwPK9R7D37Hmsf2Ikxv+8DFc0uwhLdx9wKTt85g8ozky3L6dFEYeFCY4ovuDymT1TdojU1oWKUDyGorkppEtzeITH+2APjP0IMHmzTJVvQ5EwuCSiimoWa29643+zmnr16uHUqVOay28dNAJXX3013n33XcybNw/jTwmYZdkPjszKQH5+Pt577z20aNECdWa+Yd/Pxp+/onk7u/YewkcffYSDBw+iuLgYZint2zFLibP3jPfhVYaf3Nxc/Pnnn2jb5hKvZYftuBQHWo7Dq9M+w9G7mkMvBEZ2aYOjz9yPBGvz2KoxlvscJVLi+YV/QsIyBIm2hD6suaRwEIVN6MMSbwCEZVNhl331sTmrsrlwOL3uClZcatJcNtYYhX0uiciFkNJ99VDXrl3l2rVrXaY/8dpvOHkmHzqd59h0Zo3fYDKZ0GbKVDTteC/mD7TURj26s4dq+clvX4sEp+FAsrOzMWzYMHz77bcaXo57befPhJQS9V6fiby8PPTo0QMjRoxAixYt0H35t9AJywWFBHDm3pdclj9y5AgmPP00du7ciQfuvx8XLpzH36v/wMqVK2EwGJCamorXX38dHRZ/gRGbj+L48eOYP38+9PrwO9nu2nsGr739p8cyhQWFyM3LRdtWdTGkfz2PZW32nC/C19nHserF23AyrwDZT4zC9mPHcPPsBQ7lHuvdGW8OvRLnxryoab0xMXokJsVqKktERBHIuVuKvRaTwaI/zheUaA4wk+ON0ZnUhygCCCHWSSm7BmJd5WoWu3/nenw/YwI69nsM9Zp5aD5aA8j87W/8e/ocqu+cBQy8EwBw7myBQ7F1mz9HfFwKcnOusgeXFy5cwJIlS/Dtt9/i3Llz5dlNB7a+mQuvugPnzp1DzZo17fNszWmllGg/cz7e6zYEl19+OQBL09n33nsPL730Em699Va8/Pw4xMRYEv8Mu34wTCYTdu3ahSZNmsBgMGDroBH4z4BSPPjggxg3bhymTJniujMhLsaox9lzhV7L6Q1JuJBTiuQkbX1VEwrN2LDwJ5zMK0DHejXRpk4NpL453T6/W/1aWHPkJA6fz8HjdW/B29UTyvsSiIgoKglFM/QKEKj+nGHS/LpqvBGAtt94IiKgnM1im13SDrUvvhQp9dp4LXt759ZIqXox5t51PcwSGLGmg0uZg4fX4t/dS7Bh/RZMmjQJffr0Qf369fHmm2+iQYMGmD59enl2U5XBYHAILG22DhoBIQRGjx6N22+/HbfccguWLFmCnj174rPPPsO0adPw4IMP2gNLG71ej0suucRhusFgQFZWFqbU0ZVlrw0jCRoTGwFAUbH2/hg3/D0Hc1oWINGox1UtmkAIgWpxMRjWtgWKX30c646cBAC0qJ6CPGaApXAWTVk2iUKCU1bmipCVgYBkj7XvX3RnoiWiyFSumsvaNaqjy1VPuUw/uH0p6jS5FDFxVQBYmsBmnr4Mg/tfhowd7tfXuFEapLkE48Y9i7apdXDbbbfhjTfeQHx8fHl2r9y2DhqBgQD69OmDTz/9FKNHj8bdd9+NYcOGeW0C7KxatWpl426GyR1Km/h47YdFUZH2/hi/97kdT+efwJw7C/Dgt4vRvGZVnCssxpLd+3E0Jx+2Na05fAyLzs4F0N23HScisgm7cRrJLy5JfQJMbXiSch9fzuOKEhFFjnIFl8lJruNBFhdcQPbyD3D+1C4063QjxpT+gKF774Y8vAMp8Rd5XF/HdjcBAK698SK0bZ9Snl0KqISEBDzyyCN45JFH/FrP1kEj0Hb+TPvPSLikiYiPM0IIwEN3XDtfai7jjJZ34OpLmuKa1k3xwuJVeOHKnig1mzBz/VYIAHF6Pb4dcV0595yIiKJWRQaYDk1t/bxZrBz2hTdAiCjClC+4rOKYPGXZnEdRfOEIFoy+EX2bNUKTSU/gjpw8jOm0C8lXTsSJvfma1luQH3lNIX/vOgiX//0LSh77L8Il5YxOJxAfZ0S+hiE+SkolTCYJvd576BxnTVPeu3AAfhxYAAngobTOmP/PHhSVmnBjuxbo3qgekmLjMNB0NRb7+0KIgsZ6SynMWi1EFL7n0cl5/NRAHQdamtr68n3n8UlEEapcfS6rJpbVXK5dMBm5Zw+h2GTGuyvWIcZgwA3tmgMAPt2wAzqD9vi1oEB7E8twsXjxYozYfBSxseESWlq463f5dRvX7MFFxdo+N6NewDYMVs3EBHxw41WolZSAEV3a4d7uHfDNiOuRfoWlKWx+cSk8ZTImCmn2YQ0A9quiiJQ1zvoXgv2LAz2UisvrU/lOsx8lERGAcgaXyYphH2LObkGsdazCBf/ug1kCrw7qCwFAZ0yEL+FipNVctp0/E0uWLMGtt94a7F3xmfOQMJ4UFWlvGhtvtBwrZg9xo04Ay+OWoKhU+3qJQg4DTIpk9uAtXDp8+EE5BibHwiQi8sjvPpf7nn4QOgGM+2UZfku4CkP3dgYADH7AMpSH94aVZSKt5nJp54HYOfFjDBgwINi74rP4OPVDQz8uCwDQsFk/dOt9PwAf+10aBHKKgLSC/liVsMQ+/VRuPoZMm4tPb7oaberWQlpBf/xUVIo4DspM4awih0QgCgXREmR5fZ2KIDta3hMiIhV+11wO3dsTADBp0OWofVFnl7LFJu1NGyOp5rLd/Jm4Yt1CXHPNNWHXJBbwVHNpOWQO7V6KndstvSILfcgYG2dQv8t9LCcPO0+dxT+nztqn5XM4EiIi8kdltRgIdFNcIqIwVb4+l07ZYs2yLMh0VljqS3AZ/jWX7ebPRLv5MyEBdP/6t7BsEgu473N548jZqFajGQBg+4bZAHyrubQ1i3XWrl4tLL3vFtz91S/IPnwcAJCvsS8nUWhj01iioGCrASKiSleu4LKKNbhcv/gN/PntOLeBJQAU+BJcFkRGTZWEpUnsrl27wrJJLAAkugkuAaDfNRPRZ9BrGHr7VAC+N4u1MUvHvpdP/rAUF4pK0PGdmQCAPNZcUiRg30uiIAmD/qA8HxBRhClXcGnQ65AYb8QdDQpxeU3PgUVBsRlC4/k9EmoubbHSFesWYMSIEYiJcR0TNBzEewguAaBW7Sb2xz41i1XUXKYV9EdaQX/7804NagMAasbHAWBwSRGETeWIKl+oN1NlYElEEchjQp+8/BL8veGwy/Tbb+6PXbt2YOpNV+NYp//g1KkjaNKksdv11KkVA6mx76XZJKHTMGZiqNo6aAQWL16Mx0qOYOLEicHenXJr1jgFXTvWV503f/4v6N69O4xGSwCalKA9L1SNBD0apzgFrkXAoXM5mLdtN768eSCkwYCbE5Zg7v7GWH++SNN6mzavgWrVEzTvBxEFCcf+JLLgd4CIIpDHqODYiVy89vYKh2mFhedwaO9OAMDUAy1wsTShBqrhwvZzbtczfOwlqFU7zv+9DQOnTp3CpEmT0OP779EzMTHYu1Nuad0vQlr3i1yml5SU4Lmn+uLdrPXQ6Xyv+DYB2HPeqUYyDmhYrQq+H3UDrpn6Lfafu4DbvvgZQBZGXDdT03ofeKI3el7exHtBoqAJ35tmRERERFr4HB1s3/AtCk0m9GhUFxc36q5pmfy86GjeKKXEyy+/jDFjxqBnT/f9UMPZ6dOnkZKSUq7AEgASnBL6rIpdbO932a5uLUy9cWC5LsELCnwZ9IYoCJhNUoF9TylIgnHcZWXweKfy4bFDYcjnCOHi5pcBAP46eAKbt83TtEy0BJfz5s3DqVOn8NJLLwV7VyrMyZMnkZKSUu7l442OoWPPogHoWVSW9GjT8ZPQngKqTCGDS6IwUY7bR7y4onDFjLVUXjx2KExp7yxnlZzSEAAgYUb29m/Rvs31XpfJj6DxK5X+/vtv/P333zh27BiOHDmCHTt24I8//gjbJD5anDp1CtWrVy/38vFuxrm0eeLyS9GlUR1c1vQimAGMXuGxuF1BPoNLorCQnsmLJgoethwgIqpQPtdczv96rPWRAcOvfV/TMpFac/nll19i3759GDJkCF555RVs3boV7du3D/ZuVahTp06hWrVq5V7e3TiXSpc1de3r6Q2bxRKFEy+1l841lQwIqLyCXusdRn2tg/5ekSOBsDp+iKx8Di5fuqITAKDlJT0RE5OkaZlIDS579+6NhIQEjBkzBv3790eDBg2CvUsV7uTJk6hatWq5l3duFmuTW1SC15f9je3HT+GZBX+g1GSGDsC0Xtma1suaS6Iw4jVYZJ9MCpQgH0sO49yGkKwM179gv1fkiP30KUz53Cx2bd1HMKTVEeQW7dW8TKQ2i+3Tpw+mTJmCoqIixMbGBnt3KsXJkyf9q7k0qN/P6HWyPcTaWfhs/VbUjI9DYWkpkvQx0AlLgDl6ZarH9RYyuCQKL2oXTA7NZSWHLaEACIHjJ9jb9yoEg18iClvlSvkZ230SEjqmay4fqTWXNWvWRPPmzbFs2bJg70qlCXRCH/v0mg0RF2PApqMn0TAlGUmxZf1WbQGmJwUFxeXeJyIKFWrNwFibQn4I+cAuWETZf4caMn7fiMg/5RtPAkBKjbqay0ZqcAkAl112Gb777rtg70alOXHiRIX1ufx19C24uuXF+OiG/j6vl81iiSKA2yZgvOAlCih7c12175bTNH73iMgH5Q4ui0q0DxgRqc1iAaBDhw5YuXJlsHej0sTExKCoqKjcy7vLFrsqdjGSkmIw/56bVbPtequ9LCwIwDHG8aSIQlQING0kijT275RU9LuEyjTe3CEi7codXEoIxMXrNZUtyDfBbC7P6IWh7/fff8fgwYODvRuVpmfPnsjO1pZkR41eJxCrdw0wlWNdOkv/6Tdc+eEcj+tltlgiIiJfCZU/tTKSN2CJSBOfE/ooxcXpUVhg0lS2IL8UiUlGfzYXcoqKivDjjz/i77//Dto+LF68GHfeeScWL15cKcOgpKWl4a233vJrHfFGgSKT+5sNZ/ILkBRjRIzBcnjmFpegoKQUOgHMSCsLbM0S9kQ/gWsWa71Dy1oSoiCyXswSUcVSTaw1DmXfP8GxaYnIJ+WuuQQAY6z2xfPztQWh4eTXX39Fx44d0bRp06DtQ506dVC7dm1Ur169UrbXrl07HDt2DOfPny/3Otz1u7RVbrec/Amu/OgrAMDSXfux6chJLH/wVpfyyqayhQUlAagdZ8Y8opBg7w9m/ePNHqLK4zB8inTTXJY1mESkTkjp/oK8bdsO8ouvFqHDL69DAmj60XK89NJLqFo1GQCgN0vArG1DdesnaG5GG2xFhSbM+2KP13Lbt29H8+YXIyWltqb1XtQ4Bbfd3dXf3Qu6vn374uabb8Zll11WruXn/HgIp8+6ZneVUuKD2ivw1vK1aF+vFvo1vxg3zZyHb7fsxMFnHkCDqlVcljFLID3X0qT2qg2/QxZ6zxqrM+hx1fzX1GfafjB5MUtERNHMHkCqXSc63vRZO+ETnFr7j6bV9vpyKIxVtd0MXn3nbyg6naup7ICfJ0IfE1kt5IgqixBinZQyIEGKx2ax8fFGdGhbB/hF4OOqzdCiyUZ0bl8/ENsNaUajDgf2eD+ZJcY2Qu55Iw7vP4QLucdQLbmhx/LpSYsBhH9w2bt3b2zatKncwaX+TCHyduaoz6wNPN6nK1bvP4KvN+/A9FuGYIPhIL7J3oHHel+KkXN+QZcGdfBo7y4ALLWXr1dZDLME5qzfh8KjpzXtg6moGPpY18RBDCqJQgjHuSQKHtv3Tq2W0uk7eXL1NhxbtknTakVcX5hkIQCgSsxNAICc4m9Uyx5ZvB7FZ71fjwmdDjqjXz29iChAtH0T0zPx8aWXYvTo0RW8O6FBp7ckK9LSnzQvtwgHj23A+m1zMOTylxFjTLDPm5GWbe8X6G2cxnCSlpaGl19+udzLx8Z5r8Fe8M9eTF+7BRlrTqB/1XxMWrob5wqKsUqk4r6Grs1XdQK47fHGkOaLMX3Ceq/rL7mQD30tleCSiEKDvSke+0FTJeKx5krD+1GaV2h//IJcioMAJg3oiTpL4l3KCp2l1tIWWCofb9j2Gpo3b65Yr7bs9IakeAjBri1EoUBTp8nNmzfj8OHDSEtLq+j9CRnxidribrMZaNGkG/pe+qhDYGkLJm39Am2JZzw1Qw4XPXr0QHZ2NkpLyzf8R2y8+/fW1m3yoV6dYIbERU074mD7CWjQ6yGs2n8Er7bKR1rjhthy7CReXLQCUkocOpeDdYeOAQCETmB0ZheMmtTZ4z4UX8gv174TUSVwSR7CoRCoEtgS2bBPoc9K8wvxmdyIu62BJQBMWLxKvbDO0p/q1Sm3ucwaeOmL9sfmEjPMxdqS9RmruAaxRBQc3oPLrHH45JNPcN1110GvD48+k4GQkKAtuCwuKcDvaz7A6XP7HKaPXpkKs3TMaDp6ZSqKCsN/zM+4uDiUlpaW+y5hnIeaS9v7ViMxAV27Po+efW6GwRiHek17wtDvDQxLvQQAsP/sBWw8cgJSAo/+sASXvvMZ/jl+yr4e3fgpuFsudbud4vPa+nAQUTConVsYYFIFc0hkQ74ozS/CbzijrbCwtAp79NFhyCn+Bj37tLLP2n12Vtk687Rv35jE4JIoVHgNLiWAtxrG4vrrr6/4vQkhWmsumxZMw54Da3Dm/AGXeaNXptoDS5vcHG1NPELZ3r170aBBg3LfbIj1ktjJ9r5VSawDvc7xEB26tyfMEhjUqhnmjboB+vFT8N2WXZAApixfCwAQGVn28gnD9Pi763GXbZSw5pIodDlni2XWWKosDDDLRdks1maq6OdaUK8DhGMmyEW/voKc4m9c+l2acrWPMmBgcEkUMrxGUKWPv4KGDRvik0/Kl7wlXGmtufzk780wm03o1v5OTeVzLhShZu0kf3Yt6Pbs2YOGDT0nL/LEU82ls327dwMGx2FWhu7tCQD4oYljk5t1B45hXva/9uffXtcXN36zGABwqajjUJbBJVGIYyBJwcJjz2el+YXqwaSTOB+uf0rzvA9HYGuh9EtSB83rJaKK5bXm0mg0YtSoUZg7d25l7E/I0Fpz2br1PbiyzwjN642Umsv69cufNVhLQh+bnHPux9McurcnTJnpaF3bEnxuOHYSo+b8gsfTOqEGBMZ8XxZ8OjeRLT7vQ3sbIiIiUiWlRGm+tmubuJqJmtdr0hBc2lw9iJliiUKFpoQ+999/P3788UcUFYV/YKSV1uDy4vpd0a+Pa6d0d3IvhP972KhRIxw8eNB7QTd8CS6bN23ucf7QvT2x5T9jcGuHS+yN595asQGnIXEWju/1LS+0sT8uucDgkihosjJgnpyO/Hy2ICAKd6bCYkBjssLYGtqDy9J87c1il21wHQebiIJDU3DZtGlTdOnSBYsWLaro/QkZWpvF+ioSai779++PTZs2ITe3fElx4rz0uVSSpd5/sIbu7YnZdwyFeXI6znnILJeQEG/PIsuaS6Igk0D37t2xZ8+eYO8JEfmhNN+1v6U7MdUTvBey0lJzOVX0w1TRD4ZE9rkkChWagksAGDt2bFQ1jU3QWHMJAGaz9uFFciIguExKSkLPnj2xcuXKci3vS82luURbsxizBNZv2Kh5vexzSRRkArjmmmvQo0cPzJ8/P9h7Q0TlpLVJLADEpGgPAktztWfXZ7ZYotDhMbhUjsl4zTXX4MiRI9i5c2eF71Qo0NosFgBMpdr7BURCzSUADB06FMuXLy/Xsr4El6YSbc1ihu7tiR+N12Gq6Afza0/Zpze3bqpZ9aoO5RlcUkBwPLxykQA6fb4Ik6qbcDx9FEaNGgU5OUP7OMB8z4lChlqmWHdiUnyoufShWSyzxRKFDo8R1IYNG9C+fXt06NABHTt2ROfOnfHNN99gwoQJlbV/QRPvQ7PY4mLtJ8DcC9pPwqHs2muvxYsvvgiTyeTzkCQ+BZdFJiBWW/lCvREAMH3CephfewpCZ0kn/9Hqjbi5XSuHssXsc0kUNALApjsH2h8ff2qkZcaUcdA25Ih1zEtm9SQKOl+axRqrxmlfb677bi4u663C4JIoVHiMoC655BJMmDAB//77LzZs2IBTp06hsDAygiNvEhINqFXX8SRYVFSMw4cPoUWLljAajfbpycmxEI1TNK43JqD7GSwXX3wx6tati+zsbHTs2NGnZQ0GHeo2SIDJ5L3G1xCjR0mytvcsNj8BsRfXAgDMencf7nq0CQDgvh6W/ZNS4tupJ5DcoiF0Bs0twok8sI6Hx0AnYCQkRxkkCiNCCKS0b6qpbHydGtChqveCAIxJuZrXm3RRHe+FiKhSeAwudTodUlNTkZqaWln7EzKMMTqMeri1y/SPPvoLs+a+g7lz56JHjx5B2LPQ0b17d2zdutXn4BIA7nrwkoDvT9GhJGx+6yRGZ3bB2BezMCLDMl1OTgdg+QG88e7amD5hPeLrarsZQOQRA0oiinI1OrXA9Rs/Dvh6W98NtL57ZMDXS0QVi9U3PrrvvvswYcIEXHPNNfj000+DvTtBtWHDBrRq1cp7wUqiT7Y0i5FmiQ8UXSpFRpZL2eJz5ct0S0QVQ3taNMUS7HtJREQUUhhclkPfvn0xdepUvPrqq3jooYdQUqK9X0CkyM3NxY4dO9CuXbtg74qdPikOEALTJ6z3WpZDkRAFj1T8t/1tHTQCgLWhsaegMSujQveNiIiIyo/BZTk1bdoUs2bNwtatW3HllVfi5MmTwd6lSrV69Wq0adMGsbGxwd4VO6HTWQJMAA+iHUZ2bosWqIpd4+5xKVvC4JIoaEoffxVms8TWQSPsf5owsCQiIgppDC79kJycjLfffhutW7dGly5dsGHDhmDvUqVZvnx5ufpaVjS9NWPcpaI2+qyvjQZNk7Hu0HH7fKETGDWpM4ov5EOatQ8hQ0SBYzAYYHz6DZSWOo5j57FprENgyZQ/REREoYjBpZ/0ej0eeeQRPPbYY+jfvz+++OKLYO9SpVi2bBk6d+4c7N1wYQsuR2d2wT34Db/vOYhbPv/RPl+apaXZrJQoyfFhrEv27SIKGCEEmjdvjk2bNjlM33L1XQAsGWMdZFmHKLEszURKRGqyxvG3ioiCjsFlgAwcOBAfffQRxo8fj6eeegrFxcXB3qUKU1JSgrVr16JDhw7B3hUXhiplSX3U2GouAaD4HJvGEgXLjnuuw8gTW9F2/kwAQLv5M5G64DP1wumZ1oCSgSWRW/xuEFEIYHAZQJdccgm++OILrF+/Hs2bN8f//ve/iAwyN2zYgEaNGqFqVW1jVVUmW82lWlKfLhlZEBlZWLbnIACg+LwPGWP5o00UUDn3PwvAUh/ZzhpgesXvYcUJxxqvcNznysD3hYiCiMFlgFWrVg3vvPMOJk6ciC+++AJNmzbF+++/j6KiomDvWsAsX74cnTp1CvZuqLIFl85ERhZs4eYVH80BEOIZY7MyeIFAES05ORlmaWlhYJbS/hgApNQ6MAmHIwmcMHsvbfsaTvtcGey1/EREwcHgsoJ07NgR77//PjIzMzFnzhw0bdoU7777LgoLC4O9a35btmxZSCbzAcqaxWoR+mNdhtnFHpGPzo4ZDwnA9MREiPTJwd6dKBdmTY5DbV9D4YZgsLdPFO74HQoIBpcVrEOHDnjvvfcwZcoUfPPNN2jWrBneeeedsA0ypZRYuXJlSCbzAdzXXKrhcCREwVWjRg0ICBiNRgghYEvaY3lMRERUSTjUVcAwuKwkqampePfdd/H6669j3rx5aNGiBVatWhXs3fLZ0aNHIYRA3bp1g70rqpTBpZycbv9TTjO/9hSAEGoWGwp3vImCRVkDFWq1UdEkHN/7kGsCGsTWJlkZwd0+EZEVg8tK1q5dO7zzzjsYN24crr32Wvzf//2fD/2Lgu/QoUOoV69esHfDLUOyIrg0SwhrEh8ADkEmEMLZYu0XB2HWTI1IjS8Xu9Y7xwKA5F1kKo+g3awrq3kPHv5mEJUfvz+BYgj2DkSrvn374rPPPsN//vMfrFy5Ep988gkSExNdyh3afxY/fJ2taZ1Vq8fj/JkCTWWrVU/AuTPaxnkcfENbNG5Ww7I/hw6hTp06mpYLBkNKEhI7NAYAfP3lGYd5t3z2PX7cvgcF1oHbdzQdjZziPzStN1bfHDH6+gHd1zJOFyTpmS7NM4qLTfjknRWa1lazdhJuHhGazZYpyvhxkS+lRM6FC0hOTg7gDlGkkFLim2++wYoVK/Dnn3/im2++QeOv3y8rkJWBSr1Y5EUpUXjjdzhgGFwGUaNGjTBjxgxMnDgR3bp1w3fffYeWLVs6lDGZJP76c7+m9TVrWRO7/z2lqWyrtrWxY+sJTWU7XtrQIbisVauWpuWCQZcQi7xN++zPOwLYaH38Vfa/DmVLCs+j2LwPWhh0NQBUUHCZnul4Ea5SYxPz9gQ8IIHRK1O9rq5u/WQGlxQa/Pix1gmBpP/9F8WPv4qYmJgA7hSFu4MHD2LMmDFYNKAjhtU3ImbjRkVgKRQ36KzNRKPiopG1LkQUGhhcBll8fDxefvllfP3110hLS8NHH32EG264wT6/StU4zesqKSnVXNbsQ0vc3Atlw6gcOnQItWvX1r5wJVM2iwWAR0U/3C2XqpYtPpUPoIqm9UpZweOV2i4K1JoC+tg8sLCgJAA7RFT5JBzr8XVCwPDWM5Dpkx2T/Ni/E7ygjkjOtY5O58BGABb07wDAkvypdevWlbt/RETkFvtchgAhBG6++Wa88847GDt2LN577z37vOTkWE3rKCg8j8ICk+ZtmkrNmsvmKILLAwcOhHRwqU9O8FrG/NpTeBu9kXc8R/N6JSo4uLTzv89OAYNLClMifbLLmJc6ISBVa/aD3b+NKoT985XW/pPqN9eEEDCbJaQE0tLSUNbnUUbnzYdoeZ1EkSRCEzoyuAwhqampmDp1KiZPnoxJkyYBAAxGPRISjPYyuw+uwOZ/fsCJ02VNPM9dOIz5y1/GgYM77NNmpGVjWi/3fTWLi7UHojk5ZcHl4cOHQ7vPpYbgUjd+Ch7Dn1izY7nm9ZplJQVs6Znw96K5qLAUZl+qpolCSM79z6LR21/Yn0sAOgGnH2FRlik0An+Yo5KHQNLG+bRW7dUPMXjpZvTp0ycEM8cSEXljuyEWWb9jDC5DTKNGjTB16lRMmzYNGRkZkFKiSrWyprE5eSdw8Nh67Ni7xD4tuUo9dG8/ArGGsuFBnH+EnQPNokLtwZKtWayUEnv37g3ZYUgAQBcfA2EoO6xv+28Ht2VHdm2L6v+3RdN6Nddc2i6Q/DlRKANMxXp8CTl9+XyJQknVqlXx1ltvAbAEllsHjQAAmKXEvBY94fBN4PALUcEsJSSAbYNHOEy/8NwDWHBle9x+ZJNlAjMME1GoUrs2tF3vRdiNMQaXIahOnTr49NNPMX/+fDzwwAOoUqWsaWzHVjdg0GXPo3fn++zTdEKHBnU6QAg9EhItiS+UiV9sgaUywCzI9yG4zCkEAOzcuROlpaW46KKLyvfCKoEQAvoqZbWXRaUlqF/FNQsvAFz10df4dec+TevV1OfS4cLGzwte2114e6ApkJU3QPPiBQXa+98ShZqbbroJAByGadIJgaH/rEDug885lY68H+ao4yYolNa/bYNHYuugEWg3f6ZqOaG6Dh4XRKRBpTZNVbs2jLwbpAwuQ1RKSgo+/vhjbNiwAf/udKxd0wkddDr1XEwJiUaXaaNXpmL0ylToRFmAmato6uqNrc/lzz//jD59+jgm1ghByqax3760DYefG+swX05Ox/Hnx2LD0RMY8PHXqBk/0us6K6/PpQrrBVJ8vOXGwYy0bDTKeR+Hj292uwiT+lA4s51jdEI4BBQ6nUDSB/9VHa6Hwoy9lYfj5ygVf1sHjbDXXDtTHx86tH+biCjEVOrviLVfuPKml0sf88gIMhlchrCkpCS8//77yCs4p3mZuPiy4NJ52AplU1mzWaLY5DgOpDu2QPTHH39E7969Ne9LsOidMsZKpzbC0ixR5+X34Qtt2WKF418g75qnZyIuvuyGQk5RMR5ovtNtcQaXFEnKvsHO3yvWTkUK54DSOah0V2tZhscCEYUw1fOT7ZrRJjJqMTkUSYiLi4vDlf37YM3yk5rKx8ToHZ5P65VtDzJt/2ekZSPj59/xv7V7cVXas0iMr+5xnbkXipCTk4M1a9bYEw2FMuekPtMnrHd4rhs/xeG5nJyOJY/+jINX1MLQG7qprlNCQ7BWwRc28YrETm9fdyUA4EaZrTr2pS/NnolCU9kPrrAl7nH5jtkygzKwCBlaPg+V2kpfg0khdFDednDMEktEpIX1d6ayfj+ct2MfbmkcHM9nCmE4Vi+DyzCQlKx9AHGDwbUyekZaNsyyLLg0mSV+330Qqa2vQEJcitd1lpaasWDBEnTo0AGJier9F0OJc80lAEz1MN4lADy3YDl2f3HOY3Appdl6QaPCdqepAk8AcQlGzEhznwFYiTWXFPbc/QhTeLJdIAUoAHTfANaafdG+3SgcloSItPF2Tqis84e7c6NtWpgFmGwWGwbU+lEqTetVNuyI0Dn+5I5emeoQWALA3avao1XnTAzoO0pz/8lFC39Dr169fNzz4HA3HMlU0Q9TW9WE+bWnMFX0c5h3RbOL0KKm50DbY+1lJaTBj4+PcckCbOM89EwhE/pQxHNuShQ5/VXCju19dxc42u7Kq8w3S4mPqza3P283f6a91tKs2q/SE1GWBM1+PlaOf8njg4h8FaQbU85Db4URBpdhICHRcwWzLWEPoJ7kQK3ZpBBCtZbTnc0bt6NTp06ayweT3tNYl/+0x/QJ6zE6swt2ZtyDvx6+EwAwcfBlWPHQHajxf1vcDk+ird9lxYlPMNpvFgCw3zRQG8+UNZcU8RSZlBlABJuXJqkOn5UjnRC47/wuh6ASAKQETo1Kh+tnrMapn7vyQkyZdTvMLtCIKNiCkSRMKmoqwzNJGZvFhoGkZCOq14z1WCa/oABnTp/Bps0H0KBeS8TGeG9Km5AYg1p1kgAAO/euxsp1c3DnDVOg1zv22zSbzTix9gwuueSS8r+IShTbsAbiGtf2WEZKifdWbsDSXfvx0U0D0ePdzyEnpwOwfJWr/98WnHngUodlSmUh9PFVAr/D3ppdWOf3A9C3F/D0/jS81ngFAKBeg2Q8vT8NEy8uew4AJaUmHDl0XtPmU2okID7ec+14RSoqKsXpk3mayiYmxaBqNddmzxRdzp4tQEF+MXD70w7T633xKo7e/jRwuOzYr1kryaUvOgWIxiauuTlFuHCb5bOqN/tVAJ4vmSSAo7c/AxQDR25z/IzrW5eXkPYGsEdtZRTnvNSWddCp5+VYfHUHazkRppdpRBQ0lXpDSnGGUrtR5kVhYQlOny6wP2/wxSsALOfII7c/61C2SpUYJCfHlXtPvWFwGQZq1IrDmMfbeC1XUlKC2bNn49NPH8Dp8WPgEKyoJFn4Zd5WbFp7GACwcctvOH3mAA4fPoH4WMcAalqvbKzf1hKxsZ4D3FBR64YeqHVDD49ltgJ4Lq8Q76/aiB7vfg4AEBlZ9gATZokfqv7PYZmBS5qjfr9aFbDHTn2ElGyfGyQAAV1GJl6zTtMJ4LX3rrMWtPx/zfrsh6+zMeHhHzRtfexTfdC9d+Py7rzfDu49i/+OX6CpbN+rWmD0WM+fLUW+r7/YiD9+24NZ3Te5zKv7+asYsaaD/fl/M69Gk2Y1KnP3yMnvS3ZhzmcbrM/aAwDeab8ap/KL0KxmCpx6c0BKuD1/TVP0zpCwtsxZ4Vq2SmwMLjp/BKNW3IkZadlll21h1neJiKKEn+elNX8fwvvvr7Y//7Kz5b+UwH+e+tmh7B13dMS117T2a3ueMLiMIEajESNGjEDr1q1hPrkNQggIhzvL0uGHVXnXom+3Rzyuu2H9JhWxy0FV4+V3fSpffDanYnbEbSZMwH5DICsDZU3+vDfv8lYT6ZAYaFU2sCp4TcZi47SfhoqL2JeUyvqWmyUcAhOzhENgCVh+WCnAfEzKYzKZXaZVf+kDAGbcecNn+KynZcxe589Tja2bx7Re2XhqZw8A6q0e9kx4wLou27lOhm1yDCIib86eKXB4butCdfsG1y5tNap76D4WAOxzGYG6du2KS+csxZcNO8LT2ItVqmqrEh+9MhW1ajaogD0NLfZaSzeKz+VW3MbdXeg4J6XQmDhIOWxJqPMluCxicEmw9NMDLIGksg+yc2AJqPdDp0DQ3sjUVOoaXLZqOgA1U1rYn5slMHJ1e5ebAc7JymxGr0xVDVptZdVyDZRh31wiiixnzuQ7PL99QyfVwBIAqldwcMmaywgkhMCYMWPw6quv4pbNm6HTqd9DSNYYXAJAcpWagdq9kJGdnY3UVE8XII6KzvoZXPpzt1w5FpKGdcR5qLnUOpxJZfGt5tJUgXtC4UKZ5HrEmg6Y2c21eawNY8uKoGxRocYxwc+NAG7s6VSkZ3tYmshutgeWAPDiib7Yt+s0AO/nKmXQqiyrHN/Z4/4TEUWIM2cLvBeyql69YnNXsOYyQvXp0wcA8Pzzz+Ps2bOqZXwJLvW6iuv4G0wZg+60D00iFeN8CJ3AqEmdHcr61Sy2kgf3dldzabsA23b8FIpLQyNQi431HlwOq/YtUk6/xZpLAuA65JJajSVVoAAHZjoBzOhhbRpr0n43QFlz6ZxF2z0GlkQUeZxrLj1JSWFwSeUghMDEiROxadMmNGnSBPfddx+2bt3qUKZKsvYEPQV5oRGIBFrn3t0xfcJ6ALD/d6e4PDWXWRmex37ztWmWu2yyynHmsjLQdtGbLk3JbIFlYUkprp8xD19t3uHbtitIjIbg8tHvf8V7KzagqJDBJZU1iwWAWd03YWa3TW4DTLO7wWEpZNj6Ws7osdmhGbO3j65UUXOpHKZJbf0O2CSWiCLM7t27Me+7BzCu7nz7efTLzhvwRacNDuWqJsfCaKzYDOoMLiNY06ZNMWnSJHz33XcwGAzo168frrjiCnz//fcwmUyIiTV4bD6plJ8fmRf1TVNbAQCOyXycl0X26SIjC7rxUxzKFp0rT82l80DviosaX++eqw0Sbw9cXceZ0wmo9lWKMxrw7YjrcHP7VjBLa57aIN7J1+mE16Eitv7nbgy54jUUF0fmcUi+Edbg8ocfR6PHOzOhE/DQNJbBZcB5umlmJa1/Zun6p6RsEiulGS/V+92h36SnALO0xPGmp3ONpW17zx3qA1/7rRMRhQuTyYw5Xz6KoqIL6P72Z3i4+k/4svMG1bLVa1Rsf0uAfS6jQq1atTB27Fjce++9WLRoEV588UU8+uijeOihh5CY1AyFBSVe11GQF5kX9YbkRADAl9iJmohD7Io45BQXq5YtV0Ifj/2S4ONFTvlHaXPuu9Subi1787GOXRvgiXKvOTBi4wwoLnZfOz52bRdUrQLWXBIAQFhvi+YUl+CvQ8c9ljW75nyhCiYBbB00wv584Q8HsXHtaftzW3ZYwHITzPb8nm8WIlavx/s3XmWf76mJq9pnqyxve9y4ma7sXBwJmWJVhhYjouh1/nwhAMs11MzbhqB7o3oAylqFfNFpgz25T0Un8wEYXEYVo9GIIUOGYMiQIcjOzsbs2bMhcwpRvar3YUaKCk0wlZqhN0RWZbc+2fIl2wzLhc/S7w87zB81qbO9uWy5msW6kOW/uHFexjYsiW29DlsRHrNkKvslFRYEP2CLjTUgB0VeyzGhDwFlNZfjL+8GkzTba7fUm8ey5rKySMtwvA6BJQCYnKof3Q05cm+39jDodJYmsmnZHvtPGgw6h2axnhjUmoCFdYAWrvtNROXm4Zx1+kw+brn1C3sTWJ2wnGdv39DJpQazoochAdgsNmqlpqZi4sSJ6NBJ+yCqBfmRd2GvM+oxOrOL6jznoUmKAjLOZQAvCmzNu1zWJ4CnXsPdq1LtF2bOzdKUF2wFGmquK1psvLb7XEzoQ4ClKTUApNavhZUHjuKuv1IxYk0H1eaxzBZbEVwjQ7OU2Dp4hEtgCbgm6bE1g3XWq3EDdLuonv25LchUa97v6UbnjLRsh+WMRp1KF4IwDtDCdb+JyA8C7oZRso1xqRx+RCdgDyxtj7/otKHCM8UCrLmMetVSEnEQhZrK5ueVICk5fMZP9IfaV6/8NZfWE0KlsFwwCQDx8Ubk51sCR09NywoLQyC41JDUBwBKik0wm6U9uKDoZEvoc3unNri9UxsAliBCbaxLjnNZAdIzrRc4igzbwv13Ui2pklrtpdq0Lm/NwD3d2gNwPIcZDDrVtg62gFJ5E81Sc2k7D1fm+ZiIKEBs512Vm0tnzjgOQ+KudQhQOX0uWXMZ5RIStd9fyI/QfpdKU0U/yMnpyLfWWgqdwOjMLhg1qTOKz+WW70K1Uu4yK5JVWMW5GY7EWWF+CASXPo11GfnHIXlm63OpliDGGWPLCuJ0XvN0bjSpDC/iXHtpS+zj/JmuP3ICr/3+l8vyer365YtaEiCjwdrn0n6OdKq1ZPZYIgoHbq4nz5x1HIbk9g2d3CZRq4xmsay5jHIJSdoPgUhN6iMysjSVM5eUojS/EMbE8jQpqOCaNpUTjruxLp2FRLNYjTWXgCW41JrlOKqFe9M/D2y1ZLZaSltTWLXhSFhzGXy+DAfz6JauyLlQZE9Cdvb5R5CcGIfRKx3L6Q3uz6m2GkvbOiSyAVxR9l2w/bc3lWVLCAoRkZBwiirdmdOuY1zamscCsPfFvH1DJ7x5F4NLqmAtWldDcrUYTWVr1634dtrBYM5Mh26cJcCs2a0VpJQuTbyETmDUa53xv83rUGj0XuFvLNWjYJUi66zhmrLHby53KNuieU1cf632vq9a3XVvN+TlqWe+DTVDb05Fn/7NNZWNjfLA8sTxXHw+Y53HMk+In62PIqB/mYq0Pk3QpFkN+/N1uAwA8NjlrmUbXZxSWbsVVbad3Q/lWeuRGknoXLpPtay5ugHVmyd7XWeD9nWQWGjCu6lL8fzCP9GwahLu7d4RL5/si6YtHMsmVYnFnfd287g+uTzbfdjoZSiVkBSB32VSsH2+RD4acFULdOveyO38tegNAHjyCqBmTQaXVMGqpsSgaoq24DJSfb9aD/NrT0E3fgqG/vU+8JdrMh8AgAR255zD0RLvfVRjzDrkrdUW2BUWlroPLv24i9k6tW65lguGZi1rBXsXwkZxcSnWrTnkdn5ubi6eXJiF9nVqYNN/7q7EPas8DRpVRYNGVYO9G1HtZOF5fNe/IwDgmSUb8e6ZPEyUF1TLni5IxoFzZS1ffvx4GCBi8XbmowAszbau39UDQA7qni8CagCv/roKBr0O93TviD07T7uss+FF1dC1x0Wed7LHZCBrnOvlukNgGU7BWjjtKxFVlktC7BqKwSVFvdJYPaZPWKM6b8gnX2H+v/thnpwOoROYvOkP3NXG891yACgSJuh0QlNzsPwQ6PNI4cNgUBlWQeFC7h4AwJbjtgtyXpBS4Jll2TAgtjQ5zyzZCKCsq8Er6z+3lLUmGv+hxWrLfACQ6kMPlZZahpZZeO9w1E50f4fdoKEFCQCnvpVhWFupZE+kBH6nIxJrLSkyMKEPRb0ig8SoSZ1hfu0pAECPRnWhy8jCrLVbMf/f/ZAADpw6BcDyhflsW1kgqnysJIRAgsY+j7memq7yAoKcGLyMNVu/bnvIyekwqdW+EwWIWdGXdWL/jpCA/c/mmSUb8cySjXg/8Q97YAkAdZLiEafX2ZNNWGotAUgJk8mM0StT8dmJa9GuXm0P41x6vsminbXpeLgk9Ynm34Rw+YzKS3VoMaLww5pLinpV6tbA9AmWPmqvDOyN/63aCAngt6/2wDw5HafO5aNmNcsddAngrjbd8Nm2NV5rMOMTjMjN9d40Nj9M+kVSaDBqqLFxTEMumSSCAk5ZcwlYAkz7vMnpGPPpZ26WA7rdNgvzmq8uCyqt9E658z0NoeS15lL1mI+QYUj4XSaiEMaaS4p6KY3K+ibe1akN3rnuSkwV/dBb1AcAe2AJWC5NPt+2Bjrrf09i47XdWc/LL2FGS9LMMmafZ2pZU4kCyeQUXCpN7N8RzWa/7nF558ASAAxuhhdRY9TwPXBhD8qcmx+yOWJYYFBNFBYYXFLUM1RNtD/+NXMXrm/bAtPkn7hbLoX00GfSDMsX6ItrhuOLa4bj7T9+wefb1tibysZoDC7NZokijt1IGhm9NIsFgFndN+HMmTMQGVnW/m/laPoX6U3QyC9mDzfEnrb2vXRdxvM6DXrtQZ5ew/dAnXMfZMHmiEREAcTgkqKeoapj0ojpE9ZjOSxNVf83fg2kWdr/bMyA12axhljtd9Y99rskUvDW59LGh6EF3QizvmhUqZybxdo84yGwvH5XD9UaSxuDzvuxPSMtGzPSsvG4cb7ngu6CRbXAMlzxu0lEIYh9LinqGaolup03Fn/gk/F/4GHRDwAwOrMLADg0i1UdtgSAPlb7Xfj8vBKghvdyRDq9zmsmYrMEHt91BV6cMBwvpCxFWT5PjewXrRHQXJBjA1YIs4e+i7bMsbYSUro2g1Xrc2nQC7hvbAtM65XtuBElLf2KXbLFhvE4sLbXwv7URBRiWHNJUU/vVHNZKh2bqK4HsFJuA2C5SAKA4lIzer33Oeb/s9ftxZDwIbjMy2fNJWnnLamPrc9laanZeuHpY9O/8iwTiuzBhGQtT4C5q7lUZo2d2L8jJvbviNEnL3cos+6396Afl4VDP97nMN2g83zO9JTgx+1n7PVzD+PAkogoBDG4pKinMxqgS4i1P78Pf7iU+QTHUCgLMWO5hBnAHc3bY/25XDxtjrM3j43NyMLQj7+012q+mLMAX3ZYr2kf8vI41iVpp9c4DENpqTUAKM/Fc7hdcHvFADOQ3PW5tAWUyuyxJpNj2dwDlnPslhNnHKbrNTSLdV9hrxIkunzeKol8Qvk4Vw2WGVgSUWhjcEkE136Xal7HZuDYOdzVphvm7NuC/GfuR5th1wEATuXmohjAjzsP2suLjCzox2Vh44L7AcBjoMmaS/KFluFIAEVw6YxBFvnJU7ZYl7Imx7LnX3kCcnI6Cic95TDdeSgSNaNXpsIsgc9ThjvOUAsSlTXvLs1HwyGwVLshEgFN1Sk8ZGWw3z2VC4NLIjhmjLWZetNAXNakAZohGQCQBxPuXvsJzu0/iDsu6eKQ0Oexbv3sjy3ZOYGLki3r/Or26/BVx/XQCeCrjutVg8yQqrnkj0nI05rURzW4zMoAa/HIX+6axaoxWasbf2ixGj+0WO22nNZksaNXplqyJms9VznU9gmEfGAJlDVNV51uEwavQ4nnnPCh7HcfTscYhQQm9CECENesDqTZcrFUfX8MzhQW4/cfD+F89WJkv3I3Ok+cjdPFuZClwL55PwNm4Jqn3f9Q1n7x/3ChsMhtsp9WjR1rSuNlfuBejD+iuMnV3l2nvQ4Jc8kvr2PXtU+hRavalbRX6lq2qoUzp70fM2+8OwJ/rs3EtM9/sE9rZ/0vIbF15yn7dL2UECXaAoa69ZNRLSXep30ODtvFuSz7zwQoAVEzriqKTNpuiuU3jsWr5p8cppkBPC2GoE0LxToTY1AktEWYt5yco3VXYTkOwvCz97ivYXbRzwRE4SU9kzcDqNyEp8Hb27ZtK+fM8eUEThSedmdMx5kFG1ymj5jUCXqdDsdz8vD8wj9xaM1ZbGx5EZLrtcPhbUsAAJcOn4zFF6+GrUWXWQL6cZbaS3fBpZQSRYU7AACxca1Q2qEljAPvrYBX5gOXwDLMLl789FL6L9iz8zQAy3AHAz/+Cslxsfj6ruscypkloMuYHIxd9NkTT6aj/aEtGH2ppSnh0L098VPTVfb5tmkA0L5uFRzecFTTekc/1AN9B7TwXjBUKC+SouiYDhmqN638PL/Ymo1qXY/tGLBdNCv/hxv7+xkm5+go/20hCgdCiHVSyq6BWBdrLomg3iwWsCSYkGaJuv99v2ziv4dw4kA2SovzAXMplr5/E664+1Msa7UdZgkMOtwb7a4y49GkzW63J4RAXHxr+3Pj5p3A5jBNiR8hYmIdT4dJsTGoEhvjUk4nAJk1zlInFuKf1X9feRVVEmNx3zcLUJKZ7hBYApbX8kOTVRi6t6eHgSVcmdz15QxVIf45RbRABpbKYUN8DQ6VfS/tQ5Ag9AJMzUOj8LeCiEIT+1wSwf1Yl9IsMX2CYx/Ji6sloZbRhGbdbkVSzSaA0CHv7GGHLIb1W12Ge3t0LMeecOD6YIl1Ci7njrgeU28e5FLOLIGSxyaGxYWd0ZpVttR6bHoYGhMmH6JL5wQtYYnfsYrnMl6qH/0d7euSjrWQvgr5762iCa9H4dRvWjj+hfxnQJqFzTFIlYnBJRHcB5fOgeVU0Q/7nn4ABp0OR//5DT1vewNXPfItDmYvgH5clr05bHiK7iyEzjWXnpQUe+6bGSoMBh1MmemQk9PtTWDNbgJN6UPdpdmXSDSU8EKocinHS/V33FR7gptABCfKYCfEOLxnnoRRkGb73MN93Fxy5DajMUU7BpdEcB9c2kwV/TBVWDLCmiWQ1PkuxCXVhDSZkHv6IE7sWmkv+++KmVjY8E+H5ZV9mz31c1YsUfk1mMqLtygUG2up5ZuRlu21bHGxqaJ3JyD0OoHr91n6VCqbwDoHmkBZRk8twrfm0s9aL/Kd7X0OxPsdqOAk1IMdT/vEC3kKFZpvhFC0YXBJBO/BpdKzR1PRKHUgut7wMnQGI768eAuEvqzW68Qex1T7tuQ9UkqHRD4Xv/IBREYWjB5rOyv5rqD9Yiv6fjB8qbks9pJVNpTYhi1RJu9R/tcJYG7DPzw2mXXmdvzMUBbFmZApgkTp+ZlCFI9DUsHgkgiAISVJc9nYwkKH5/fkDkKfEf9DTEIKACCpRmMAlot5ZVPDosId9sBSSomHe3YAAPRr2sjLFoPQ7CQKfzA8BZdm6diMtLgoPGougbJ+l7aaSwD4qekq/NR0FX5osgpp736OuGffwj9bl2tepylcm8UC8Pp9Yp9nCmWhloCIiMgJg0siAIaqCd4LWcUUFLhMi6tSE73vfA9CZ0RpUS5O5hZg0OHeOF411h5QKhUV7kD6lb0gJ6djwX23aNgq+zVUNFuzWCVbUDl6ZSpGr0y1B5jFYdLnEgAMemHfb52APWOsrSazsNWdqBYXiy/an9W8TnNYNotVNvf29H3SmlCFqJJkZZT9ERGFOAaXRPCt5tKYqz54vSEuEX3vnYHi/PO4elMNAECBzv1A88pmslJqSafCTLIVKTbO4NDfUhlU2tieh1PNpcGgc+lfCVgCzb3fjsH6RZPRuUEdVE3QfoMl7IYiAXwcsoLNDikI1M7vDgElj0siCn0MLokA6OJjIGK09bkzns9xPy82EWefugk1L+4MAMhDnH1eXHxrxMa1sj9XNpMtKtwBOfIhjXvLWpWKEBNjcAjAdAKY1ks9uU+4JPQBAIPecpq39bO0eW7BcpzIsdTCx+iEx9frrNRdzWXI3/zQOBwCL+CpsqnVSrKmkojCEINLIgBCCM1JfQznznucr9MJzG9gyRa7YPnfqPHyTwC8Z4nVzXhP0/YtFAFmyF/Qh4eYWL1DLaU7M9Ky0X7p25WwR4FhNJad5m3NfEtMJszasA23dWoNU2Y69Fe+CcBzQK3keSiSEK5hD+UMoRQcIXOsOt30YGBJ4czddypkvm9UkRhcEllpDi5Pew4uBx3ujUGHe2N+gz+RPnMO8k1A/As/odEr76r2v7RxvFz3NA6bbbrkBUgA2RL6ODcf3XVgOWb//ACebvm7vdmsAMLmB9JWcwlYai+H7u0Jo16PSYMuwzNXWrLFfn/xCoyeMx9/7DmoKcBUHYrEufkeEWmnvOGhel7nd4oiAfu0RwPtufeJIpyhqsbg8pT2xCf33jwCH381EwBwOKcQ8S/85FKm4KVrAADmq66GftFCy0S3Fxq8s11RYuMsp8PRK1MxrVc2dMJSk/fe5cUYuL8hGlSpEuQ9LB+jwfUeolkCt3ZsDQBoMulD7Dt7AQBwPCcPnRvUQVJsDKb1ynZbk6ve51Jx8Zueabl4YGZLCnkh1I/R7X6E0D4SaeFwnaI4fm2/DTyeI5rw1FSvbdu2cs6cOZW4OxRMc2fuxoVzxV7LJafEYNhdzSphjypX0ZEzMOUVei0npcT5GjUhhPc7ybodu1D48bcoKS7GDZu/Uy2zqNcI9L+uNpb9HY+zOw67zL/+ruoQQuDn7bvx14GjeHlgb7fbMwO4r+k19ud1kxLwysCuXvcTAP5YsgsLftimqey9j6ahSfMamsqGi4KCEpw+kWt/3uCrSQA81ReExwXf5Lf+xIFDrrXt79ZZBgCIGz8FRWYJHYBODergh1E3on7VJJgl8Njxy1TXWa9eFZw6pZ7YylmjGok4fuSCprJ6IdRrRZ00b1kT9zzU02s5orDjrtYyDM41RA6UtZM8fkOeEGKdlFLbBaMXrLkku6IiE06d8B5c5VwoqYS9qXyx9atrLqutjhPIS0nGgXUnAQBycjqkWUI3fopDmatWzgRWOi43VfSzP54+fh9GTeqMvKJi5BR5Dv51AD7a8xOuSukLALhQqP2zKi014/ABz01+bc6fdR2OJdzFxxvR8OKUsgnpky3/XZp7htcYjwV5xThx1DUJlbm2pWa2de3q2HjsNMwA/m/oFahf1ZI5WSeAt+v8geHbXH9rkqrG4eBhbQFjsl6HQwe1HVexRp2mTLzJVeO8ltHM+c46ERH5j+fUqMU+l2SXVMWoqVxRoQklJWE4FEEQGKqVDe8gzRLTJ6x3CBy9GZ3ZBaMmdcb0CeuRNzsfbw51XFbtU9ABWHL2dyw6+ztyi7UHlwmJ2j5/AMjP917DHXlE2TAVYRSMGA2u43cCwK2bOsMsgf+74Sr7tNtn/wwAaDzxQzzy3RLoBPB1m7WuC/sSX2uo4bfReSlbXJyLE6f+9Zocy3fsA0QhgF0dKJrYuk5QxGFwSXZag0sAyMuJzNrLQFP245w+Yb39sfm1pyAnp3tdXjpll1E+NwO4KqUvzFAPMgGg2GRGcam2YTMSEmM0lQOAgvxo/PxlWV+RMAksAcs4l+7cuqkzejdpiPljboQeQH6J5XNtVTsFnRvWAQDVANOX4M6H2BJC57nwVz+PxaLl/4XZOesSERGFlzD7LSXtGFySXWKyD8FlbjQGF75zN37m9AnrXQJHNdMnrHcISpWPdQAWnf0dT/NY7AAAJipJREFUV6X0tTeDVZNbXKppXxMSGFyqC+8sjQaj59O8WQJXX9IM17VtjmtbNwcA/DLmZozs6n5YFrMPwaUZEvEHM/FgnZ8xs9smj2V1XoLLS5r0R3JSfciAN5wI78+YwhCHZCCiCMXgkuySkrQHl7k52gKWaOdp/MzpE9bD/NpTLtPVpikpg9Jtx07iiVVTkX/ssEvtpS34zCnSFggmJMYgv+AsCgq996WLqmax9jur4dMUVslTzSVQ1jz24+FX4/7uHbDn9DkM39YVw7d1tY+L6Vx7eejQEc3bF7B8D4Q1gMvJPY51m2ZhVvdNLsGmt+Dy0o4jMHRAZoBrLgXvoFMQqJ1P3A0/RUQUPhhckl1SshFnzx9Acan3pD5sFqudoWqC23nKmsiJV/dBzbhYvPrrCo/rsy1TVFqKm2Z+j6d/+QNHVv2qWnupA3DRJy9r2s+ERCN+Wf4yFvzpvXxBXhR//mFW26A2FImzWzd1RnJsLHr/bzaaZX6Mi3a9BgAOQaYywMzLzfW0Ogc6ocP/bhyIXo0bQCeA3F1vY8euBdBnZLmW9RJc2gS0zyWDSgoGteNO9SZHeN7UIqLoxWyxZJdUxYhflv8Xdaq3RP9envsDMrjUzl3NJWBJ2DMaXXDoXA4W79yHU4VFeG7xKphfe8oh8ASAUZM62x9LCcQaDJg36gY0SE5CYkwMdGd/V92GADSNKxWfGIPuqXdBr/deg10QTTWXAFzH6cpwnR6iDG4S+jjT6XRIiYvF8bwCvL1iA0qHrrVnih2+rSu+brMWOgHMbWurwTyAEV/+jCGtmmJ4h9a4JbuL+oqFwIg1HTCru6WW8ul+PbB09wHVChotw/sAYJ9LKp9Qygxsu0nlvC9M6kOBxDElKQgYXJJdYhUDurcfgdrVW3oty+BSO2VSH3eW7z2E91dtwEXJVdCmjvqQKMpgs+CBa/FAkyNoVTtwY03GxOjRuFFXmEq9d2jLj6Y+l8ofZ/tj25AkMuR/vI1e+lza3LqpMw49OxZPfr8Ei3btx5ELjrWTygDT5tdd+1FiMmF4h9Zu1yuEJRC01X5e2eJimF77j0s5W/BpKztydXu36wx8tliKeKEWtHk9ZwiN5Yi8CPHfKIo8bBZLdrFxerRqdhmSk+p4LZubyz6XWnmqubT1n7y1Qys8cKgN9j1zP+bfezOETuDWF9vBcHOMfTgSJf2ZHHumWGfq2WO9D7UghNA8HEnUNIt1uSB1DiZDpBbEA299LpXGnrgc16Vegp2nz6Hjm9Mwq+Vqh/nKfpgAcPjZsZh9x1CP65TWi+QRazrYl9PpdIDQYcSaDqrL6AQwo8dmt+tkzSX5xH7uC9H+jA7nZsVQRyF+bqEwwOOIgoDBJdkJIZCoMakPay6189bnUpolhE7g7te64OsPDlueZ2Qh4YV3MGLOAmw5ctJlOd0py6D0zv0sbcOTqAee0pqh0H2WQq0ZY6MqoY+NPdCUoVcL4oEvwaVep8P7xcMw45bBqJkYj7vn/IKPmyx3SOYzfFtX3H+4pz1QFBlZ0I/LwpzUdV7XbwswzRJuA8sXF/2Jbzbv8LgeBpfkE1trg5C90JZl5+WQ3UciIm0YXJKDJI3DkTC41M5TzSXgOCzJ8AcbuPS1TH1rOoROONRe6o+fxSJrH0tlTaUOwJKzv9uHKHFPugaZWRmY3HQlZqRlY0ZaNqb1yna7dKE/zWLDKiGOp5oOa9PYEH89Ro19LgFAr7e83ts7tcXs26/F4l370feDL13Kmc0St2R3gTLG0wmoB5hOb+GINR3cBpYA8NFfm/F/f673WHupZRgfIgehGrCF0Y0qIiItGFySg6Qq2oLL/LxS1h5o5C24BMrGsxRCYHRmF9zfXb2/2ejMLqg7shp2HfgX+ows/HrvEJdxLkVGFvQZWVjiJsGPI0VtphOdgD3AdA40/etzGfoBmV16JhxrKkXZ/1C9WHXiS82lLVvr8G1d0aF+Hbw26DIcOp8D/bgsbFn7ub3c6VP7UZh/Drdkd4EpMx1ysiUBmGqAqfE0YTudHJjwAH574FYvZXnuIR9xXEkKBh53FIWY0IccXJKagipVtQWYpaVmxMRorxWJVgmtG6HOiL5ey5lNZphlLgSAy5s2ws0dWuHKj74CYMkO++WaFNza/RwGT//WYTltQWT56AQwI80SWM5Iy4YEMCWuP4TOcoGv05jd05Ef/Z6CkpjAlrxHOGaKDZMahxbNa+CaQZdoKhuTYERhkaU/9Uy0xN1S4vD5XLz+xxpMuVSPpXUK0KBBA7ww4V4kVqmJ2+57B0/kXY43E5fZE/3YAszxJVfBYDSgZo0ENGuS4nXbs9EKd5yY4xAMCwEMutY1WVBScqym10MEwHpxH2L9LcPk/EF+cOhKwaQ6FD2Ep6x7bdu2lXPmzKnE3SGKbnN/2YeNOwrwXeu/YZbAsB2XWqa3+tv+eN60mwEAY++ag/9rZ8neaU+UUo7rp4X/7EXm739hyb03WxKtuHHs3DnUm/gxbu3QEk0+egHPdxmOOA3DlgRMMIcRcLgQFGE3HEm5OdxxlzBLicUd+mPT1n/xVbZAUp2m9rm/1/jd/tgsgX5n+gIAbkprjIevbePD9tR+k2zvOS/QKEKoHusRfC6JRmq/G6GO59ioJYRYJ6XsGoh1sVksUQhJSbE0oXVucWwLLAHg+tFfwZSZjvh4I0avTIVZAqNXpmL0ytRybfOvA0eRffQUCkvVMwB/vjYbIiMLfax975btOQwAKCytxKQ+Qb/Lrxa1CzfTI4gtuYg1IYpOCAzYtATdunVzCCwBuPS/XFr9dwBAXn6Bb9uLhveViBfwUUDAIftvqMvKgGo+BiIfMbgkCiEJcZZmxspg0mZuq7/tj4ftuBQxcZZW7cqgsjzdYJ8f0AsnX3wYCTHqmWKfXrgcALDrbA4m/PU5Ri35CABQaIqipE7OQ484ZHUMoz6k/rC+BzohcNnKb1xm9zvT1yXA/L3G70jfPwdHjhzxbTvugsxwuEAj0ow3USKaw825cMDjkQKDwSVRCEmIL+vDqhOOAaVOAMkbX8ThfX8BAIyxrl2mbTWZgbT/mbGQk9NhsiZtsSk0VeZwJIpAI6iBnLthSKLrbq9OCHvNpJItwHQOMuvOehN79uzxbSMOF2XKYXSi532mCOdyEyVKblRRaFIej2ETEFMoYkIfohCiDC4By4X5d63/xtn8Qvy++wRmbdyGkV10OIvu0BvL7g1N65Vtr8EcvTLVIbtrefphalFYWok1lyH3Q+ccZNqS/kR64gbb63TP1tdyafXfoR+XBQCQk9PR+JsPsGXwSLRr164c27SRZf+D2QeXKFBsx6/b/sZElYjnUwoA1lwShRBbs1igrPZny7GTuPSdz5ASF4s7O7XBjhOn8XXLNRB6y9d3Rlq2w7AhQFkfTH+bzIqMLIiMLNV5lVtzGQoU/Wecp0fLD7L1zraEsDd7VavBBMqCTAD4cv0W6IRAu/kzIX3tPxt2TcuIysFea0REFN4YXBKFkIT4ssYEw3ZcCrMEWtWqgaxrLker2jXQq3F93NqxtWU8Qp2wB5S2pD7umAFcltPPryazOgCvLNtof14QTX0uAZfkNmV/ilq0aJCeCZGe6ZCh2F2Qefm4n7Fi7G24tXNZbaUAfA8wHZYmilC8iUJEEYDBJVEIiY9zbBY7bMelMOh1qBITgz4ffIFHvvsVRy/kAQCeTVhkDyiday7d8TXAlJPTIZ36Wtp4rbmM5L5xLrVpwql/YIS+boXBOVc69K9UZohVmtPmXluDYbtyB5i88CYiIgppDC6JQkiMUUCvd62dOZabh20nzqBGYjxGX5qK67Z0wNA/zSguyfcYLKoFnJfl9NO8P7Zmsf1f/5/LvErtcxnSorM2Ta8X6Hemr0OWWLVaTJMZ2DpoBLYOGuEQYEopMWPGjHJs2V3zZAIQFTc2iIgodDG4JAohQgiHfpc2ybExeLhnJwxt0xx/7D2I+V/eh59+fB1/bf4MwxbVtl/cOweTyuyxf1RZij+TLX/KGieztASR9ax9K80q+/Xr8RyYATx7eUf7NI81l0Efl7IS2YcjiaLXDMCoL/v5UBuGxBZgmmXZDGWAqRMCdx3fglmzZvm2YWWtMWsyHTGwJCJyFMmtqEIUg0uiEOPcNNYsgf+t3oRfd+3H9LVb8OLCP3FVkzqINxhgKNyK5eveV03gYzN6ZSr+E3+dvUmsWVpqL23PbTWZx6zberFvF/uycnI62iXoICenu/S5dDvOpT3IiqJENw6i43UbnGrY3Y1z+W7RAodyzgHmnUc3+9EHkxww4CaiUBEyAV10/CaHEgaXRCFGORyJ2WxG7DPv4s+9h9Gubk3EGQ1oWas6fhh9I969oT+e7H0pWlQphFk61jfOSMt2qMXUW6/6bUGljXMTWZ0AXv59ncO07Bf/UzYfZQFmYam7mstobLIYba8X0Otcfz7UxrlU49xE1r8kP0REFFJsQ+uEQoDJwLLScZxLohBTNcmAxARbgKlHSq0mKDj1L77YuANFk560l7umdTPcs6Iqfru/HZpkPoTH0jpjfL8eDhf2yVXjAADxQqBGlVi32xyauRQAYJbzvY6LKQAk6uNgNrkpEI0n8vTM0PgRrUS1qsah1OTaiHp4yUAAwNfGhdAJQJ+RBWRkYdXG9fYyGY8/iVMnT2DryCFlw8dLidVrN+KSZpdo2n71lHj1GRz/kogouGy/iTwPRyUGl0QhpkqpGeJIvv35wB4TMP+3l6AvOIjU16fi5vat8NyAXpi3ZScObNuAH+r0wsncfMzfsRcZV/TAnes64ouuGwEApwstTVfb6HT4b8YVGrZ+BeTkDEjAHmTO374Hg6fNxZN9uuD1a/tBSmDHq/k4V18PvBvY1x7WouxH9N0He3opcaVDP9Rui2bj3i6dAQDn6lZBoa4Y93TpjI/XWYJOnRDovvQLDH+3q6btfzNtOIRQuxMSfbXIREQhJ8p+E6kMg0uiEBOf4Pq1HHTFC/is52YYx03Bsj0H8RyAe7u3x80dWqHepJmoGheLcf2628s7N0vMzS3SvP03Sgdh49rDmNFjMwAgMcYIASApJsahXH5eBWaLdWkiyZqo8CQchrKZeuVtMArgivdeRsNLWgCAPeCMfTYT32/ZiYPPjsXwbd4DTLOU0KsFlzxOiIiIgobBJVGIiU9wzRY7o8dmS/KdZo3QtHpVAICEwMPbO8Ao83CmsAR/HTiCwa2aYlaXjbhzXUeH5fNyvYxJqZCYaAkiR65uDwD4rCdgVhnrMi+vGFJKN7VH/hIoGxmRgWXYSs+EzMqAAPDywhUAgBIJLBr7PEYt/hw6Rb/N/63JhjS5a2vtymyW0DNrABERUUjhTzNRiElIdL3nM3J1e4xc3R6xje7Ffy7rZq+ZrFmzGvZPuB91qyRi+d6DmPz7X9AJ4IuuGzGry0b78rk+BJdJSe77ZgKW5rIzemyGqdSM4mLtwYBP0jMRnYmBIs+RB59Bg5fexQu/rnSYPn3AHXh71WoAwKfr1qPwpYdx9OkHoRPA123Wel2v2VvWIBumoafKxuONiKIYg0uiEKPWLNamRrXGaFGruj3YNOgFHtrWE9+PvAEXCksw7pc/sGLvIZilJQi0BZi+NItNSHJs/uqc/dMsy2o18/O0B60+41iGEUEvBI7kFajOq/HC/6H/J5ZxLmNiYlC3WpLm9UqNsSUREVFIiJIbTwwuiUKMp+ASsAR2n/XcjBk9NkNnHWuwa6N6WP7grXjjmivQs3FDe7NYW4CZm2tpwqpFolNwaQtk1YaY8KW5LUUnvU6Hu3+djbt/nQ05OR0/3HENqht1uKNjK9zRqQ0GXtLEZRmdAOa2XeuxBlNzzSVRZeMNMSJylpWBkBmepYKxzyVRiElQ6XPpzHZdbcvoeue6jpjVZSP+TrgHd64rK2ObbzZLFBSUIiHB6HXdSU7BpY2ttlKpQmsuKSLoFH1yzQCGdGiNbn9vRbHZjFk3D/KyrCXINEu4JPnRHlyyaTUREQVb9PwWMbgkCjHeai6BskCvQdOyac5JfGwBp01ebpFrcKkyDpUtoY8zW/ZYZZCZx+CSvNCLsgYy+owsQAAy0zVBlI3zjRORkQUA6NVvAuo26mgvp6kmnuOsERFRoPgzjnIU/RaxWSxRiDHG6KA3aLvDJU2eL7DvXNfRHmTmuGvC6tREI8FNQh9bUGkLMgHWXJJ3yuASAPTx8TDDUovpTMJSQzl8W1eXJtgP1XBsIqup5jKKfsyJiKiiRU/toz9Yc0kUYoQQiE8wIPeC93EkTT70O2sy9zUgfbLjRJWLb3fNYgHXprHsc0ne6IVAcW4+DAlxuPvX2QCAe63zPl23HlWffRMXiksdxsMELEHm3LZr7dPNEpi7rWw++1wSEVGl4g1LTVhzSRSCtPS7BIDSErX6H0e2cS9Xpz3kvpBiuAbnhD6esOaSvNHrdJhzxyNY/PRkl3lmON4gEXAchsQsLc1i48a/7kefSyIiIqosrLkkCkFa+l0CQEmR9+DSxvNYlwK2LGaJj0/UvE72uSRvdEKg7bBBqN+hrcu8e7t0xoWJT7q9y2kLKEuE6w0PM8ciISIiCjmsuSQKQVqDy+Iik+Z15uYUYe7cuTh27JjrTEVTD4NRj9g4bdvPz/PedJeim17o0HnETajbobXq/Hu7dFbtf2lz48g5uP7OGS7TWXNJREQUelhzSRSCLh9QD93SanstZzaZsO/FLz1mztR/9X8AgNlfWfpzCp3Aq7NeRYdeHQAAg+b8Zi8rIbHgwHxU71gbuXmlXrdfkKy9CS1FJ50QeLbrAI9l9ncdgMYfWm5w7LlpPLT0akmpGh+AvSMiIqJAYnBJFIKqpcSiWoq2ssf/2Q1TToGmshmXX4pPd+2BKc6EM0VnAFgydCrzn50pOoPzpjo4cMb7OpOqa9uu3/xJ/01B1yS5hvdC1mRTzSt4X4iIiKjisFksUZgzpCRqLpv5+xr8dcsNaNy2sX3aF9d3sD8WAJbe9BIS4rUlFMrNr8xmsdIh8RARERERhRYGl0RhzlAtyafyzV7/GO8+8a7qPJGRhambd+KtJ/ppWlduQWX3ueQYU0RERBTFQvxGO4NLojBnTPEcXN7brb3LtEF3D1It+2CnVgCA+omxmradU2nZYgXszWLZNJaIiIgoJDG4JApz3prFjr+8m8PzA0/fj2apzVTLfrBhBwDgSF4RFrx7vddtFxabUGrSPhxKuTGoJCIiomiXlRHsPfCKCX2IwpyhmufgctmUPTC/9hQAQOgEJIDb521y6GuZfeAA2r87x2XZQ9t/Q8PWV3hcf25+CapV0VbTSURERETlZe0eFMI33FlzSRTmtPS5nD5hPaZPWA+JsgQ+t8/bhNLiUhQXFuOqaT+oLpdz+qDXdefmV1bTWCIiIqIoFgYtuRhcEoU5X7LFftyzCQBLgHnH2UMY1W4UMu/OxMzbrsGAxg3xafanmPXvLHv5+2oexc+NVnhcZ06lZowlIiIiolDFZrFEYc5bs1il6gnVUAQzhn/1N8a+PhcAcIUhFucKizBy0Wv2cp+umI+7VywFAJil53UyuCQiIiIigDWXRGHP4CVbrJKuwJJ857utu3ChuBj1qyTgUIeL8MC3i3Dm2Bl7OX1MCczSEljqBDzWXrJZLBEREVGYycqokGFNGFwShTmjDzWXyDcBAG7u1AZVY4w4kpOPQ/8cwpn8Qvw1/y97MV1MCYYcTMOQg2leA8xc1lwSERERhQ97QCkC3oeTwSVRmPOlz6W4YKll/OL6DrjqseuhA/BLr0vx8fqP8VlK/bKCMUX2h0MOpnlcZ24Bg0siIiKisFGBSYHY55IozOmrxKPBw0M0lTWIFCSXVgMA3D/6fsyp1RgSEncv+QcCArfP2wQA2DpmBHY2PgOTydLh0iyB5zAEnRu5rtNYYgrI6yAiIiKiyhL4WkuAwSVR2BM6Herfd5X2BRSx4NZBI1BSUoLx48dj/pXtUfzofxEXF4d2AD7851ucPVMAABiBDgAO2Zeb2W0TRqyxDGlyUUJMAF4FEREREVWaCqq9ZLNYoihnNBrx2muv4dpl2zB48GDk5eXhzEuPYt/BlVj+17v4a/1Ul2V0whJgAkBubpHLfCIiIiKKPkJK9+MMCCHWVuK+EBERERERUeU6JaW8OhAr8hhcEhEREREREWnBZrFERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3BpdERERERETkNwaXRERERERE5DcGl0REREREROQ3g6eZDeq0l0VFOfbnUgj3hRWzpId5Tk8gPaxSeljO4/Y8LCaVEzRv23meh5ka1wGN76XlqXQ7T/sqpfOE8q1HuH+3PS/nfh4U63Qppu3jcliHS1n3h47rasqxnPP0yty213kaD7MAHaqe5zl8lh6Oo0rZl3Ju39M8NzM9L1O+/fA019P77sur03aW83U5bWsVGs+x3tYZiH1xJVUfupngZhWeynmYJ90+Ccz6ned5fDnl3X45ynkrq/l98TDBl9eqtazHtzoAr92X40/jvnhcZXnfv0pezvXtquz99LQvnspqPCcF4Gvqeb9cLpzdr64Cvurl3Z7HU0S5T5favhvl/ar7cqqWHjbo6RSodd5+5CyUUl7tYY808xhcFhXlYEjfl+3PzbqyA07qHA8+s16olvNvubKKVV+WU5Z1Waeb5VzWr3EdviwnPewzFM91OsdPX6eX7ucpnivLucyrgOX0vizn8BrgOE/zcuXdnuM8xccA549BOU/vYZ5Oazmd+3nOyzmu0/0+e15O2z57W2d5l9M5LOfpfXf6vDy8du3rdN4XqVrOeZ7r63M/z2E5x1lul6uI90E4bV0ZjPk0T3ERIUQ551XK9nSq5ZzL+jRPuU7nYNbhgtrsNM+sbZ45AMv5sG0pTf5v23leOfdF83LO+2mWHuaZ1cu5zPNlndq2J52vAMu9vQC/Bh+2LU1SvRwAKOZJD/NgclqnsqzJ+fUo1ukyT7Eep3ke1+lxP80e5rl/7Z7fF23rdD3EFdd6zvMUAaRPy5k9LOdhnWY3yynX5zLPKcj1/HX2fdve9tnT+2BWvO/O80yKz8hscpxn1jrPw/ZMPuyL1u35tE6N2zOV87XfLZfWRICwWSwRERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJREREREREflNSCndzxRiAYCalbc7RBWiJoBTwd4JogDgsUyRgscyRQIexxQp4qSU7QKxIo/BJVEkEEKslVJ2DfZ+EPmLxzJFCh7LFAl4HFOkCOSxzGaxRERERERE5DcGl0REREREROQ3BpcUDT4K9g4QBQiPZYoUPJYpEvA4pkgRsGOZfS6JiIiIiIjIb6y5JCIiIiIiIr8xuCQiIiIiIiK/MbiksCaEaCSE+E0IsV0IsVUI8Zh1enUhxGIhxE7r/xTFMhOEELuEEP8IIQYGb++JXAkh9EKIDUKIn6zPeSxT2BFCVBNCfCOE2GE9P/fksUzhRgjxhPXaYosQYrYQIo7HMYUDIcRUIcQJIcQWxTSfj10hRBchRLZ13jtCCOFt2wwuKdyVAviPlLI1gB4AHhJCtAEwHsCvUsoWAH61Pod13q0A2gK4GsD7Qgh9UPacSN1jALYrnvNYpnD0NoAFUspWADrAckzzWKawIYRoAOBRAF2tg8vrYTlOeRxTOJgOy3GoVJ5j9wMA9wFoYf1zXqcLBpcU1qSUR6WU662Pc2C5gGkA4DoAM6zFZgC43vr4OgBfSimLpJR7AewC0K1Sd5rIDSFEQwBDAHyimMxjmcKKECIZwGUAPgUAKWWxlPIceCxT+DEAiBdCGAAkADgCHscUBqSUfwA44zTZp2NXCFEPQLKUcpW0ZICdqVjGLQaXFDGEEI0BdALwF4A6UsqjgCUABVDbWqwBgIOKxQ5ZpxGFgrcAZAAwK6bxWKZw0xTASQDTrE28PxFCJILHMoURKeVhAFMAHABwFMB5KeUi8Dim8OXrsdvA+th5ukcMLikiCCGSAMwF8LiU8oKnoirTOB4PBZ0Q4hoAJ6SU67QuojKNxzKFAgOAzgA+kFJ2ApAHa/MrN3gsU8ix9ke7DkATAPUBJAoh7vS0iMo0HscUDtwdu+U6phlcUtgTQhhhCSw/l1J+a5183FqdD+v/E9bphwA0UizeEJZmLkTBlgZgqBBiH4AvAfQTQswCj2UKP4cAHJJS/mV9/g0swSaPZQon/QHslVKelFKWAPgWQC/wOKbw5euxe8j62Hm6RwwuKaxZs1Z9CmC7lPINxawfAIy0Ph4J4HvF9FuFELFCiCawdE5eU1n7S+SOlHKClLKhlLIxLB3rl0op7wSPZQozUspjAA4KIS6xTroSwDbwWKbwcgBADyFEgvVa40pY8jrwOKZw5dOxa206myOE6GH9DoxQLOOWIfD7TVSp0gDcBSBbCLHROu1pAK8B+EoIMQaWH4jhACCl3CqE+AqWC51SAA9JKU2VvtdE2vFYpnD0CIDPhRAxAPYAGA3LDW0eyxQWpJR/CSG+AbAeluNyA4CPACSBxzGFOCHEbAB9AdQUQhwC8ALKdz3xICyZZ+MBzLf+ed62JfkPERERERERUfmxWSwRERERERH5jcElERERERER+Y3BJREREREREfmNwSURERERERH5jcElERERERER+Y3BJRERkR+EEI8LIUZU0rb6CiF6KZ4/LIQYXRnbJiIi8oZDkRARUdgSQhiklKXunlfG9mEZB69zZWxXCPEigFwp5RTr8wQAK6SUnSp620RERN6w5pKIiAJOCPGkEGKL9e9xxfQRQojNQohNQojPrNPqCCG+s07bJIToJYRoLITYoljuKWtgBSHE70KIiUKIZQAeU3neRQixTAixTgixUAhRT7FcphBijRDiXyFEH+t0vRBiihAi27pvj1inq67HST8A622BpRCiuRBiifV1rBdCNBMWWdb3IlsIcYu1bF8hxE+K1/iuEGKU9fE+IcRL1nVkCyFaCSEaA3gAwBNCiI1CiD5SynwA+4QQ3QLywREREfnBEOwdICKiyCKE6AJgNIDuAASAv6yBXzGAZwCkSSlPCSGqWxd5B8AyKeUNQgg9gCQAKV42U01Kebl1e9fangshjACWAbhOSnnSGsi9CuBu63IGKWU3IcRgAC8A6A/gPgBNAHSSUpYKIapb1/N/HtZjkwZgneL55wBek1J+J4SIg+Um7o0AOgLoAKAmgL+FEH94fydxSkrZWQgxFsBTUsp7hBD/g6Lm0motgD4A1mhYJxERUYVhcElERIHWG8B3Uso8ABBCfAtL8CMBfCOlPAUAUsoz1vL9AIywTjMBOC+E8BZcznHz/BIA7QAsFkIAgB7AUUW5b63/1wFobH3cH8D/bLWPUsozQoh2XtZjUw/AduvrrAKggZTyO+t6Cq3TewOYbX1tx62B9qUALnh5jcp9vdFDuRMAWnlZFxERUYVjcElERIEmPEzX2tG/FI5dN+Kc5ue5eS4AbJVS9nSz3iLrfxPKfgP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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import geoplot\n", + "import geoplot.crs as gcrs\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "\n", + "norm = mpl.colors.Normalize(vmin=1, vmax=1000)\n", + "\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-189)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "\n", + "fig, ax = plt.subplots(figsize=(16,16), facecolor=None, subplot_kw={'projection':projection})\n", + "\n", + "geoplot.polyplot(\n", + " world,\n", + " facecolor='lightgray',\n", + " edgecolor='black',\n", + " projection=projection,\n", + " ax=ax,\n", + " zorder=1,\n", + ")\n", + "\n", + "\n", + "cax = fig.add_axes([0.125, 0.08, 0.775, 0.03])\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax,\n", + " cmap='Spectral_r',\n", + " legend=True,\n", + " legend_kwargs={'orientation': 'horizontal',\n", + " 'cax':cax,\n", + " 'label':\"occurrence (count)\",\n", + " },\n", + " norm=norm, \n", + " zorder=2,\n", + " )\n", + "\n", + "# define your own as a list [xmin, xmax, ymin, ymax]\n", + "extent = [-230, -149, -19, 29]\n", + "\n", + "ax.set_extent(extent)\n", + "\n", + "ax.add_wms(wms='https://gis.unep-wcmc.org/arcgis/services/marine/WCMC_008_CoralReefs_WMS/MapServer/WMSServer?request=GetCapabilities&service=WMS',\n", + " layers=['0','1'],\n", + " zorder=5,\n", + " )\n", + "\n", + "def identity_scale(minval, maxval):\n", + " def scalar(val):\n", + " return 0.5\n", + " return scalar\n", + "\n", + "geoplot.pointplot(\n", + " gdf,\n", + " scale=gdf.index,\n", + " scale_func=identity_scale,\n", + " color='black',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " zorder=10,\n", + " ax=ax,\n", + ")\n", + "\n", + "ax.set_extent(extent)\n", + "\n", + "ax.outline_patch.set_visible(True)\n", + "\n", + "# ax.text(-156.36302, 20.25471, 'Hawaii', \n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )\n", + "\n", + "# ax.text(144.77415, 13.44376, 'Guam',\n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )\n", + "\n", + "# ax.text(-170.36961, -14.22008, 'American Samoa',\n", + "# transform=ccrs.Geodetic(), \n", + "# zorder=11, \n", + "# fontdict={'fontweight':'semibold'},\n", + "# #bbox=dict(facecolor='sandybrown', alpha=0.5, boxstyle='round'),\n", + "# )" + ] + }, + { + "cell_type": "markdown", + "id": "58b708b8", + "metadata": {}, + "source": [ + "## Make it one figure w/ subplots" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b889ef12", + "metadata": {}, + "outputs": [], + "source": [ + "import geoplot\n", + "import geoplot.crs as gcrs\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "import matplotlib as mpl\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "\n", + "def identity_scale(minval, maxval):\n", + " def scalar(val):\n", + " return 0.5\n", + " return scalar\n", + "\n", + "wms = 'https://gis.unep-wcmc.org/arcgis/services/marine/WCMC_008_CoralReefs_WMS/MapServer/WMSServer?request=GetCapabilities&service=WMS'\n", + "\n", + "norm = mpl.colors.Normalize(vmin=1, vmax=1000)\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-130)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "\n", + "fig, ax = plt.subplots(nrows=2,ncols=2,figsize=(16,20), facecolor=None, subplot_kw={'projection':projection})\n", + "\n", + "# making top subplot span 2 cols\n", + "gs = ax[0, 1].get_gridspec()\n", + "# remove the underlying axes\n", + "for a in ax[0, :]:\n", + " a.remove()\n", + "ax0 = fig.add_subplot(gs[0, :], projection=projection)\n", + "ax1 = ax[1,0]\n", + "ax2 = ax[1,1]\n", + "\n", + "\n", + "geoplot.polyplot(\n", + " world.dissolve(),\n", + " facecolor='lightgray',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " ax=ax0,\n", + ")\n", + "\n", + "cell = cell[~cell['n_occur'].isna()] # drop all NaN cells - makes plotting quicker.\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax0,\n", + " cmap='Spectral_r',\n", + " legend=False,\n", + " norm=norm, \n", + " )\n", + "\n", + "ax0.set_global(); \n", + "\n", + "ax0.outline_patch.set_visible(True)\n", + "\n", + "# New subplot for carribean\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-90)\n", + "\n", + "geoplot.polyplot(\n", + " world,\n", + " facecolor='lightgray',\n", + " edgecolor='black',\n", + " projection=projection,\n", + " ax=ax1,\n", + ")\n", + "\n", + "# or define your own as a list [xmin, xmax, ymin, ymax]\n", + "extent = [-110, -60, 14, 30]\n", + "\n", + "ax1.set_extent(extent)\n", + "\n", + "ax1.add_wms(wms=wms,\n", + " layers=['0','1'],\n", + " zorder=5,\n", + " )\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax1,\n", + " cmap='Spectral_r',\n", + " legend=False,\n", + " norm=norm, \n", + " zorder=2,\n", + " )\n", + "\n", + "geoplot.pointplot(\n", + " gdf,\n", + " scale=gdf.index,\n", + " scale_func=identity_scale,\n", + " color='black',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " zorder=10,\n", + " ax=ax1,\n", + ")\n", + "\n", + "ax1.set_extent(extent)\n", + "\n", + "ax1.outline_patch.set_visible(True)\n", + "\n", + "# New subplot for Pacific region\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-189)\n", + "\n", + "geoplot.polyplot(\n", + " world,\n", + " facecolor='lightgray',\n", + " edgecolor='black',\n", + " projection=projection,\n", + " ax=ax2,\n", + ")\n", + "\n", + "# define your own as a list [xmin, xmax, ymin, ymax]\n", + "extent = [-230, -149, -19, 29]\n", + "\n", + "ax2.set_extent(extent)\n", + "\n", + "ax2.add_wms(wms=wms,\n", + " layers=['0','1'],\n", + " zorder=5,\n", + " )\n", + "\n", + "cax = fig.add_axes([0.125, 0.08, 0.775, 0.03])\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax2,\n", + " cmap='Spectral_r',\n", + " legend=True,\n", + " legend_kwargs={'orientation': 'horizontal',\n", + " 'cax':cax,\n", + " 'label':\"occurrence (count)\",\n", + " },\n", + " norm=norm, \n", + " zorder=2,\n", + " )\n", + "\n", + "geoplot.pointplot(\n", + " gdf,\n", + " scale=gdf.index,\n", + " scale_func=identity_scale,\n", + " color='black',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " zorder=10,\n", + " ax=ax2,\n", + ")\n", + "\n", + "ax2.set_extent(extent)\n", + "\n", + "ax2.outline_patch.set_visible(True)\n", + "\n", + "#fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "5d341b65", + "metadata": {}, + "source": [ + "## Now let's look at some statistics on the number of occurrences per cell:" + ] + }, + { + "cell_type": "markdown", + "id": "b5ba5ff0", + "metadata": {}, + "source": [ + "Make a latitudinal histogram" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ca00b13", + "metadata": {}, + "outputs": [], + "source": [ + "bins = [i for i in range(-90, 91, 1)]\n", + "\n", + "data.hist(column='decimalLatitude', bins=bins, orientation='horizontal')" + ] + }, + { + "cell_type": "markdown", + "id": "99dea82c", + "metadata": {}, + "source": [ + "Combine the latitude histogram with the map to recreate this figure https://bbest.github.io/obis-lat-time-fig/#map,_hist,_time-series_combined\n", + "\n", + "**To do:** link histogram y axis with map latitude lines." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "591d61b4", + "metadata": {}, + "outputs": [], + "source": [ + "import geoplot\n", + "import geoplot.crs as gcrs\n", + "import matplotlib as mpl\n", + "import matplotlib.ticker as mticker\n", + "import matplotlib.pyplot as plt\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "\n", + "\n", + "norm = mpl.colors.Normalize(vmin=1, vmax=1000)\n", + "\n", + "projection=gcrs.Mollweide(central_longitude=-160)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "world = world.dissolve()\n", + "\n", + "fig, ax = plt.subplots(figsize=(16,8), facecolor='white', subplot_kw={'projection':projection})\n", + "\n", + "geoplot.polyplot(\n", + " world,\n", + " figsize=(16,8),\n", + " facecolor='lightgray',\n", + " edgecolor=None,\n", + " projection=projection,\n", + " ax=ax,\n", + ")\n", + "\n", + "\n", + "cax = fig.add_axes([0.225, 0.08, 0.575, 0.03])\n", + "\n", + "\n", + "# drop na cells\n", + "cell = cell[~cell['n_occur'].isna()]\n", + "\n", + "geoplot.choropleth(cell, \n", + " hue='n_occur', \n", + " edgecolor=None, \n", + " projection=projection, \n", + " ax=ax,\n", + " cmap='Spectral_r',\n", + " legend=True,\n", + " legend_kwargs={'orientation': 'horizontal',\n", + " 'cax':cax,\n", + " 'label':\"occurrence (count)\",\n", + " },\n", + " norm=norm, \n", + " )\n", + "\n", + "ax.set_global(); ax.outline_patch.set_visible(True); \n", + "\n", + "gl = ax.gridlines(draw_labels=True)\n", + "gl.ylocator = mticker.FixedLocator([-90, -75, -50, -25, 0, 25, 50, 75, 90])\n", + "\n", + "ax2 = fig.add_axes([0.91, 0.1257, 0.03, 0.7555])\n", + "\n", + "bins = [i for i in range(-90, 91, 1)]\n", + "\n", + "\n", + "# count, lat = pd.np.histogram(data['decimalLatitude'], bins=bins)\n", + "\n", + "# ynums = np.linspace(ax.yaxis.get_data_interval()[0],ax.yaxis.get_data_interval()[1],179)\n", + "\n", + "# ax2.plot(count,ynums)\n", + "# ax2.sharey(ax)\n", + "# ax2.axes.get_yaxis().set_visible(False)\n", + "\n", + "data.hist(column='decimalLatitude', bins=bins, orientation='horizontal', ax=ax2, )\n", + "# plt.title('')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de33f12e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}